{"pageNumber":"372","pageRowStart":"9275","pageSize":"25","recordCount":40804,"records":[{"id":70197776,"text":"sir20185080 - 2018 - Simulation of potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011, using the Soil-Water-Balance Model","interactions":[],"lastModifiedDate":"2018-07-18T14:21:54","indexId":"sir20185080","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5080","title":"Simulation of potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011, using the Soil-Water-Balance Model","docAbstract":"<p>An understanding of the spatial and temporal extent of groundwater recharge is critical for many types of hydrologic assessments involving water quality, contaminant transport, ecosystem health, and sustainable use of groundwater. Annual potential groundwater recharge was simulated at a 1-kilometer resolution with the Soil-Water-Balance (SWB) model for the glacial aquifer system east of the Rocky Mountains, from central Montana east to Maine, for calendar years 1980–2011. The SWB model used high resolution meteorological, land cover, and soil hydrology datasets that are nationally consistent and publicly available. The SWB model computed daily potential groundwater recharge as precipitation in excess of interception, runoff, evapotranspiration, and soil-water storage capacity. Daily potential recharge values within each year of the simulation were summed to produce annual potential recharge rates. Potential recharge as described in this report is water that infiltrates vertically below the plant rooting zone and is assumed to reach the water table.</p><p>The calibrated SWB model in this report is called the glacial SWB model. Model calibration assumed that the area contributing to groundwater discharge equaled the surface watershed. The model was calibrated to stream base flows from 39 watersheds throughout the model domain that had hydrologic conditions appropriate for hydrograph separation. Base flows were calculated from daily streamflow records with the HYSEP local minimum hydrograph separation method The glacial SWB model reproduced the mean annual base-flow calibration targets well; the Nash-Sutcliffe efficiency coefficient was 0.94, and the root mean squared error was 1.28 inches per year.</p><p>The glacial SWB model provides insight into the spatial and temporal variability in potential annual recharge across the glacial aquifer system. About 20 percent of the active model area had an average potential recharge rate of less than 1 inch per year. Total precipitation, total recharge, and recharge as a percentage of precipitation increased from west to east. A substantial amount of the recharge water (39 percent) entering the glacial aquifer system travels through developed (urbanized) and agricultural landscapes, which are known to cause water-quality impairments. Regional climatic events, such as the 1988 to 1989 drought, are apparent in the potential recharge time series. Potential recharge generally increased across the glacial aquifer system between 2001 and 2011.</p><p>A comparison of the potential recharge from the glacial SWB model to previous broad-scale recharge estimates reveals several important considerations for future SWB modeling applications. Shifts in the overall distribution of potential recharge between separate models can be explained by methods used to generate base-flow calibration target datasets. Spatial patterns in potential recharge simulated by SWB models are strongly dependent on the data and assumptions used to assign model cells to hydrologic soil groups. A review of several SWB models used to estimate groundwater recharge (and not surface runoff) revealed that model results are most sensitive to input climatic data, followed by surface runoff (curve number) and root-zone depth parameters.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185080","collaboration":"Prepared as part of the Glacial Aquifer System Groundwater Availability Study, a cooperative effort between the U.S. Department of the Interior’s WaterSMART Initiative and the U.S. Geological Survey’s Water Availability and Use Science Program","usgsCitation":"Trost, J.J., Roth, J.L., Westenbroek, S.M., and Reeves, H.W., 2018, Simulation of potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011, using the Soil-Water-Balance model: U.S. Geological Survey Scientific Investigations Report 2018–5080, 51 p., https://doi.org/10.3133/sir20185080.","productDescription":"Report: vii, 51 p.; Tables; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088856","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":355759,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XW4HRJ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Soil-Water-Balance (SWB) model used to simulate potential groundwater recharge for the glacial aquifer system east of the Rocky Mountains, 1980–2011"},{"id":355764,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2018/5080/sir20185080_tables.xlsx","text":"Tables 5 and 8","size":"52.2 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018–5080 Tables"},{"id":355757,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5080/coverthb.jpg"},{"id":355758,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5080/sir20185080.pdf","text":"Report","size":"24.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5080"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-113.51074218749999,49.05227025601607],[-113.4228515625,48.705462895790546],[-112.8515625,48.16608541901253],[-112.6318359375,47.88688085106901],[-112.7197265625,47.68018294648414],[-112.67578124999999,47.249406957888446],[-112.1484375,47.025206001585396],[-111.70898437499999,47.17477833929903],[-111.11572265625,47.44294999517949],[-110.93994140625,47.945786463687185],[-110.06103515625,47.989921667414194],[-109.86328125,48.31242790407178],[-109.00634765625,48.09275716032736],[-108.74267578125,47.931066347509784],[-108.74267578125,47.82790816919329],[-108.74267578125,47.53203824675999],[-107.57812499999999,47.487513008956554],[-106.67724609375,47.68018294648414],[-106.06201171875,47.69497434186282],[-103.90869140625,48.004625021133904],[-102.87597656249999,48.04870994288686],[-102.06298828125,47.54687159892238],[-101.5576171875,47.502358951968574],[-101.14013671875,47.47266286861342],[-100.92041015625,47.05515408550348],[-100.56884765624999,46.36209301204985],[-100.56884765624999,46.08847179577592],[-100.34912109375,45.89000815866184],[-100.45898437499999,45.22848059584359],[-100.5029296875,44.902577996288876],[-100.546875,44.5435052132082],[-100.4150390625,44.33956524809713],[-99.82177734375,44.213709909702054],[-99.5361328125,43.96119063892024],[-99.47021484375,43.70759350405294],[-99.2724609375,43.42100882994726],[-98.94287109375,43.16512263158296],[-98.76708984374999,43.02071359427862],[-97.998046875,42.58544425738491],[-98.23974609375,42.24478535602799],[-98.23974609375,41.88592102814744],[-97.93212890625,41.44272637767212],[-98.3056640625,40.83043687764923],[-98.3056640625,40.36328834091583],[-97.646484375,39.639537564366684],[-96.1962890625,38.788345355085625],[-95.537109375,38.75408327579141],[-94.50439453125,38.95940879245423],[-94.24072265625,39.06184913429154],[-92.61474609375,39.06184913429154],[-91.42822265625,39.01064750994083],[-90.5712890625,38.95940879245423],[-90.28564453124999,38.976492485539396],[-90.19775390625,38.94232097947902],[-90.15380859375,38.59970036588819],[-90.3076171875,38.44498466889473],[-90.32958984375,38.18638677411551],[-90.10986328125,37.996162679728116],[-89.7802734375,37.84015683604136],[-89.58251953125,37.68382032669382],[-89.49462890625,37.61423141542417],[-89.56054687499999,37.3002752813443],[-89.12109375,37.54457732085582],[-89.033203125,37.666429212090605],[-88.74755859375,37.56199695314352],[-88.35205078124999,37.63163475580643],[-88.22021484375,37.68382032669382],[-88.08837890625,37.70120736474139],[-87.91259765625,37.85750715625203],[-87.91259765625,37.97884504049713],[-87.42919921875,37.90953361677018],[-87.20947265625,37.85750715625203],[-87.29736328125,38.28993659801203],[-87.2314453125,38.61687046392973],[-87.2314453125,38.805470223177466],[-87.3193359375,39.198205348894795],[-87.3193359375,39.62261494094297],[-87.29736328125,39.80853604144591],[-86.6162109375,39.41922073655956],[-86.044921875,39.436192999314095],[-85.9130859375,39.16414104768742],[-86.1328125,38.788345355085625],[-86.06689453125,38.324420427006544],[-85.89111328125,38.25543637637947],[-85.6494140625,38.34165619279595],[-85.27587890625,38.65119833229951],[-85.05615234375,38.788345355085625],[-84.8583984375,38.8225909761771],[-84.90234375,39.04478604850143],[-84.83642578125,39.13006024213511],[-84.52880859375,39.06184913429154],[-84.44091796875,39.11301365149975],[-84.30908203125,38.85682013474361],[-83.95751953125,38.736946065676],[-83.60595703125,38.61687046392973],[-83.4521484375,38.61687046392973],[-83.3203125,38.59970036588819],[-82.90283203125,38.839707613545144],[-82.63916015625,39.14710270770074],[-82.59521484375,39.487084981687495],[-82.30957031249999,39.639537564366684],[-82.0458984375,39.740986355883564],[-81.67236328125,39.87601941962116],[-81.2109375,40.3130432088809],[-81.27685546875,40.697299008636755],[-81.05712890625,40.79717741518766],[-80.4638671875,40.81380923056958],[-79.541015625,41.062786068733026],[-79.29931640625,41.376808565702355],[-79.1015625,41.672911819602085],[-78.68408203124999,41.934976500546604],[-78.1787109375,42.01665183556825],[-77.6953125,41.902277040963696],[-77.18994140625,41.52502957323801],[-77.01416015625,41.11246878918088],[-76.48681640625,40.97989806962013],[-75.2783203125,40.74725696280421],[-73.98193359375,40.54720023441049],[-73.63037109375,40.59727063442024],[-72.70751953125,40.68063802521456],[-72.35595703125,40.863679665481676],[-71.806640625,40.96330795307353],[-71.30126953124999,41.062786068733026],[-70.59814453125,41.1290213474951],[-70.224609375,41.16211393939692],[-69.873046875,41.22824901518529],[-69.9609375,41.45919537950706],[-69.98291015625,41.82045509614034],[-70.048828125,42.01665183556825],[-70.24658203125,42.13082130188811],[-70.2685546875,41.934976500546604],[-70.13671875,41.72213058512578],[-70.46630859375,41.78769700539063],[-70.55419921875,41.983994270935625],[-70.64208984375,42.147114459220994],[-70.8837890625,42.24478535602799],[-70.94970703125,42.342305278572816],[-70.59814453125,42.56926437219384],[-70.68603515625,42.779275360241904],[-70.72998046875,43.03677585761058],[-70.46630859375,43.27720532212024],[-70.02685546875,43.70759350405294],[-69.54345703125,43.77109381775651],[-69.36767578124999,43.97700467496408],[-69.23583984375,43.96119063892024],[-69.14794921875,44.08758502824516],[-68.79638671875,43.97700467496408],[-68.3349609375,44.040218713142146],[-68.02734375,44.33956524809713],[-67.8076171875,44.5278427984555],[-67.34619140625,44.653024159812],[-67.08251953125,44.731125592643274],[-66.9287109375,44.62175409623324],[-66.77490234375,44.5278427984555],[-66.68701171875,44.762336674810996],[-67.08251953125,44.88701247981298],[-67.236328125,45.213003555993964],[-67.3681640625,45.13555516012536],[-67.52197265625,45.24395342262324],[-67.4560546875,45.336701909968134],[-67.47802734375,45.521743896993634],[-67.763671875,45.62940492064501],[-67.82958984375,45.81348649679973],[-67.763671875,45.920587344733654],[-67.8076171875,47.100044694025215],[-68.115234375,47.27922900257082],[-68.4228515625,47.35371061951363],[-68.66455078125,47.249406957888446],[-68.994140625,47.204642388766935],[-68.994140625,47.3834738721015],[-69.06005859375,47.45780853075031],[-69.27978515625,47.41322033016902],[-70.07080078125,46.694667307773116],[-70.0048828125,46.51351558059737],[-70.13671875,46.392411189814645],[-70.3125,46.31658418182218],[-70.13671875,46.057985244793024],[-70.20263671875,45.874712248904764],[-70.37841796875,45.78284835197676],[-70.6201171875,45.66012730272194],[-70.751953125,45.506346901083425],[-70.6640625,45.398449976304086],[-70.94970703125,45.398449976304086],[-70.90576171875,45.30580259943578],[-71.1474609375,45.336701909968134],[-71.3232421875,45.213003555993964],[-71.43310546875,45.120052841530544],[-71.60888671875,44.98034238084973],[-74.8388671875,45.042478050891546],[-75.41015624999999,44.809121700077355],[-75.8056640625,44.62175409623324],[-75.91552734375,44.402391829093915],[-76.26708984375,44.213709909702054],[-76.39892578125,44.134913443750726],[-76.35498046875,43.89789239125797],[-76.2890625,43.61221676817573],[-76.37695312499999,43.50075243569041],[-76.86035156249999,43.29320031385282],[-77.32177734375,43.229195113965005],[-77.51953125,43.213183300738876],[-77.71728515624999,43.29320031385282],[-78.0908203125,43.29320031385282],[-79.03564453124999,43.29320031385282],[-79.03564453124999,43.004647127794435],[-78.92578124999999,42.76314586689492],[-79.25537109375,42.58544425738491],[-80.37597656249999,42.01665183556825],[-81.14501953125,41.705728515237524],[-81.80419921875,41.5579215778042],[-82.41943359375,41.49212083968776],[-82.85888671875,41.60722821271717],[-83.408203125,41.72213058512578],[-83.47412109375,41.88592102814744],[-83.29833984375,42.08191667830631],[-83.16650390625,42.27730877423709],[-82.81494140625,42.391008609205045],[-82.55126953124999,42.69858589169842],[-82.4853515625,42.94033923363181],[-82.50732421875,43.18114705939968],[-82.6611328125,43.46886761482925],[-82.6611328125,43.70759350405294],[-82.72705078125,43.94537239244209],[-82.96875,44.071800467511565],[-83.29833984375,44.008620115415354],[-83.49609375,43.78695837311561],[-83.8037109375,43.628123412124616],[-84.00146484374999,43.8028187190472],[-83.84765625,43.94537239244209],[-83.6279296875,44.02442151965934],[-83.56201171875,44.19795903948531],[-83.408203125,44.308126684886126],[-83.27636718749999,44.66865287227321],[-83.4521484375,45.042478050891546],[-83.232421875,45.02695045318546],[-83.408203125,45.30580259943578],[-83.7158203125,45.44471679159555],[-84.0673828125,45.506346901083425],[-84.44091796875,45.706179285330855],[-84.74853515625,45.78284835197676],[-85.05615234375,45.67548217560647],[-85.23193359375,45.47554027158593],[-85.341796875,45.259422036351694],[-85.69335937499999,45.182036837015886],[-86.06689453125,44.84029065139799],[-86.3525390625,44.4808302785626],[-86.3525390625,44.22945656830167],[-86.5283203125,44.008620115415354],[-86.5283203125,43.75522505306928],[-86.5283203125,43.51668853502906],[-86.41845703124999,43.08493742707592],[-86.2646484375,42.48830197960227],[-86.63818359375,41.86956082699455],[-87.07763671875,41.672911819602085],[-87.51708984375,41.60722821271717],[-87.86865234374999,42.08191667830631],[-87.890625,43.27720532212024],[-87.91259765625,43.88205730390537],[-87.71484375,44.19795903948531],[-87.34130859375,44.512176171071054],[-87.0556640625,45.01141864227728],[-86.85791015625,45.42929873257377],[-87.20947265625,45.27488643704891],[-87.56103515625,44.99588261816546],[-87.64892578125,45.1510532655634],[-87.802734375,45.336701909968134],[-87.03369140625,45.767522962149876],[-86.55029296875,46.01222384063236],[-86.02294921875,45.9511496866914],[-85.10009765625,46.07323062540835],[-84.7705078125,45.90529985724799],[-83.935546875,45.90529985724799],[-84.13330078125,46.210249600187225],[-84.1552734375,46.51351558059737],[-84.48486328124999,46.604167162931844],[-85.05615234375,46.73986059969267],[-85.84716796875,46.66451741754235],[-86.5283203125,46.5286346952717],[-86.81396484375,46.49839225859763],[-87.69287109375,46.92025531537451],[-88.11035156249999,46.93526088057719],[-88.39599609375,46.81509864599243],[-88.2861328125,47.010225655683485],[-87.62695312499999,47.35371061951363],[-87.4951171875,47.45780853075031],[-87.95654296875,47.53203824675999],[-88.505859375,47.42808726171425],[-88.74755859375,47.27922900257082],[-89.18701171875,47.08508535995386],[-89.56054687499999,46.86019101567027],[-90.439453125,46.70973594407157],[-90.703125,46.694667307773116],[-90.90087890624999,46.649436163350245],[-90.703125,46.89023157359399],[-90.37353515625,47.100044694025215],[-90.966796875,46.99524110694593],[-91.51611328125,46.830133640447386],[-91.95556640625,46.7549166192819],[-92.08740234375,46.84516443029276],[-91.38427734374999,47.12995075666307],[-91.0546875,47.368594345213374],[-90.7470703125,47.5913464767971],[-90.2197265625,47.73932336136857],[-89.62646484375,47.90161354142077],[-89.47265625,47.97521412341618],[-89.8681640625,48.03401915864286],[-90.37353515625,48.10743118848039],[-90.9228515625,48.16608541901253],[-90.85693359375,48.25394114463431],[-91.16455078125,48.151428143221224],[-91.47216796875,48.019324184801185],[-91.69189453125,48.122101028190805],[-92.13134765625,48.268569112964336],[-92.1533203125,48.38544219115483],[-92.39501953125,48.19538740833338],[-92.5048828125,48.31242790407178],[-92.65869140625,48.48748647988415],[-93.14208984375,48.60385760823255],[-93.49365234375,48.531157010976706],[-94.1748046875,48.647427805533546],[-94.7021484375,48.76343113791796],[-94.74609375,49.10983779052439],[-94.76806640624999,49.36806633482156],[-95.16357421875,49.410973199695846],[-95.16357421875,49.13859653703879],[-95.1416015625,49.009050809382046],[-113.51074218749999,49.05227025601607]]]}}]}","contact":"<p><a href=\"mailto: dc_mn@usgs.gov\" data-mce-href=\"mailto: dc_mn@usgs.gov\">Director</a>, <a href=\"https://mn.water.usgs.gov\" data-mce-href=\"https://mn.water.usgs.gov\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>2280 Woodale Drive<br>Mounds View, MN 55112</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Simulation of Potential Groundwater Recharge<br></li><li>Sensitivity Analysis<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix. Model Archive<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-07-18","noUsgsAuthors":false,"publicationDate":"2018-07-18","publicationStatus":"PW","scienceBaseUri":"5b6fc410e4b0f5d57878e9b7","contributors":{"authors":[{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Jason L. 0000-0001-5440-2775","orcid":"https://orcid.org/0000-0001-5440-2775","contributorId":191768,"corporation":false,"usgs":false,"family":"Roth","given":"Jason L.","affiliations":[],"preferred":false,"id":738464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198165,"text":"70198165 - 2018 - Controls on submarine canyon head evolution: Monterey Canyon, offshore central California","interactions":[],"lastModifiedDate":"2018-07-19T09:40:54","indexId":"70198165","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Controls on submarine canyon head evolution: Monterey Canyon, offshore central California","docAbstract":"The Monterey submarine canyon, incised across the continental shelf in Monterey Bay, California, provides a record of the link between onshore tectonism, fluvial transport, and deep-marine deposition. High-resolution seismic-reflection imaging in Monterey Bay reveals an extensive paleocanyon unit buried below the seafloor of the continental shelf around Monterey and Soquel canyon heads. Paleocanyons shifted position through numerous phases of cut-and-fill in response to Salinas, Pajaro, and San Lorenzo river extensions and avulsions across the continental shelf during high-frequency Pleistocene sea-level and climatic variations. Five seismic facies within the Monterey paleocanyon unit and below the modern canyon are defined to interpret canyon evolution during the Pleistocene. Repeated sea-level oscillations appear to have switched the main fairway(s) of sediment transport. Large-scale erosion and fill occurred in marine environments. Paleocanyon fill is characterized by paleo-axial channel deposits and mass transport deposits, followed by canyon head abandonment and marine sedimentation. The upper portion of the paleocanyon unit contains relatively small channels that were likely incised by erosion in the paleo-Salinas and Pajaro rivers and filled with a mix of nonmarine and marine deposits. Shifting position of submarine canyons over time is characteristic of Monterey Bay, east of the Monterey Bay Fault Zone, and is likely unidentified in other submarine canyon head regions that lack dense high-resolution seismic-reflection subbottom images. We show that canyon heads can be areas of sediment accumulation linked to sea-level oscillations, providing new insights into submarine canyon evolution and sequence stratigraphy.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2018.06.014","usgsCitation":"Maier, K.L., Johnson, S.Y., and Hart, P.E., 2018, Controls on submarine canyon head evolution: Monterey Canyon, offshore central California: Marine Geology, v. 404, p. 24-40, https://doi.org/10.1016/j.margeo.2018.06.014.","productDescription":"17 p.","startPage":"24","endPage":"40","ipdsId":"IP-097161","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2018.06.014","text":"Publisher Index Page"},{"id":355820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.92529296875,\n              34.831841149828655\n            ],\n            [\n              -121.28906250000001,\n              34.831841149828655\n            ],\n            [\n              -121.28906250000001,\n              38.90813299596705\n            ],\n            [\n              -125.92529296875,\n              38.90813299596705\n            ],\n            [\n              -125.92529296875,\n              34.831841149828655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"404","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc40ee4b0f5d57878e9ab","contributors":{"authors":[{"text":"Maier, Katherine L. 0000-0003-2908-3340 kcoble@usgs.gov","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":4926,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine","email":"kcoble@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740368,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198171,"text":"70198171 - 2018 - Landsat time series analysis of fractional plant cover changes on abandoned energy development sites","interactions":[],"lastModifiedDate":"2018-07-23T12:50:15","indexId":"70198171","displayToPublicDate":"2018-07-18T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Landsat time series analysis of fractional plant cover changes on abandoned energy development sites","docAbstract":"Oil and natural gas development in the western United States has increased substantially in recent decades as technological advances like horizontal drilling and hydraulic fracturing have made extraction more commercially viable. Oil and gas pads are often developed for production, and then capped, reclaimed, and left to recover when no longer productive. Understanding the rates, controls, and degree of recovery of these reclaimed well sites to a state similar to pre-development conditions is critical for energy development and land management decision processes. Here we use a multi-decadal time series of satellite imagery (Landsat 5, 1984–2011) to assess vegetation regrowth on 365 abandoned well pads located across the Colorado Plateau in Utah, Colorado, and New Mexico. We developed high-frequency time series of the Soil-Adjusted Total Vegetation Index (SATVI) for each well pad using the Google Earth Engine cloud computing platform. BFAST time-series models were used to fit temporal trends, identifying when vegetation was cleared from the site and the magnitudes and rates of vegetation change after abandonment. The time series metrics are used to calculate the relative fractional vegetation cover (RFVC) of each pad, a measure of post-abandonment vegetation cover relative to pre-drilling condition. Mean and median RFVC were 36% (s.d. 33%) and 26%, respectively, five years after abandonment, with one third of well pads having RFVC greater than 50%. Statistical analyses suggest that much of the high vegetation cover is associated with weedy invasive annual species such as cheatgrass (Bromus tectorum) and Russian thistle (Salsola spp.). Climate conditions and the year of abandonment also play a role, with increased cover in later years associated with a wetter period. Non-linear change at many pads suggests longer recovery times than would be estimated by linear extrapolation. New techniques implemented here address a complex response of cover change to soils, management, and climate over time, and can be extended to the operational monitoring of energy development across large areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2018.07.008","usgsCitation":"Waller, E.K., Villarreal, M.L., Poitras, T.B., Nauman, T.W., and Duniway, M.C., 2018, Landsat time series analysis of fractional plant cover changes on abandoned energy development sites: International Journal of Applied Earth Observation and Geoinformation, v. 73, p. 407-419, https://doi.org/10.1016/j.jag.2018.07.008.","productDescription":"13 p.","startPage":"407","endPage":"419","ipdsId":"IP-095879","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488773,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2018.07.008","text":"Publisher Index Page"},{"id":437824,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VTGGY0","text":"USGS data release","linkHelpText":"5-year Relative Fractional Vegetation Cover at Abandoned Energy Development Sites on the Colorado Plateau"},{"id":355815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc40ee4b0f5d57878e9a9","contributors":{"authors":[{"text":"Waller, Eric K. 0000-0002-9169-9210","orcid":"https://orcid.org/0000-0002-9169-9210","contributorId":203496,"corporation":false,"usgs":true,"family":"Waller","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":740408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":740407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poitras, Travis B. 0000-0001-8677-1743 tpoitras@usgs.gov","orcid":"https://orcid.org/0000-0001-8677-1743","contributorId":195168,"corporation":false,"usgs":true,"family":"Poitras","given":"Travis","email":"tpoitras@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":740409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199096,"text":"70199096 - 2018 - Past role and future outlook of the Conservation Reserve Program for supporting honey bees in the Great Plains","interactions":[],"lastModifiedDate":"2022-04-22T16:46:58.708736","indexId":"70199096","displayToPublicDate":"2018-07-17T10:29:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Past role and future outlook of the Conservation Reserve Program for supporting honey bees in the Great Plains","docAbstract":"<p><span>Human dependence on insect pollinators continues to grow even as pollinators face global declines. The Northern Great Plains (NGP), a region often referred to as America’s last honey bee (</span><i>Apis mellifera</i><span>) refuge, has undergone rapid land-cover change due to cropland expansion and weakened land conservation programs. We conducted a trend analysis and estimated conversion rates of Conservation Reserve Program (CRP) enrollments around bee apiaries from 2006 to 2016 and developed models to identify areas of habitat loss. Our analysis revealed that NGP apiaries lost over 53% of lands enrolled in the CRP, and the rate of loss was highest in areas of high apiary density. We estimated over 163,000 ha of CRP lands in 2006 within 1.6 km of apiaries was converted to row crops by 2012. We also evaluated how alternative scenarios of future CRP acreage caps may affect habitat suitability for supporting honey bee colonies. Our scenario revealed that a further reduction in CRP lands to 7.7 million ha nationally would reduce the number of apiaries in the NGP that meet defined forage criteria by 28% on average. Alternatively, increasing the national cap to 15 million ha would increase the number of NGP apiaries that meet defined forage criteria by 155%. Our scenarios also show that strategic placement of CRP lands near existing apiaries increased the number of apiaries that meet forage criteria by 182%. Our research will be useful for informing the potential consequences of future US farm bill policy and land management in the epicenter of the US beekeeping industry.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1800057115","usgsCitation":"Otto, C., Zheng, H., Gallant, A.L., Iovanna, R., Carlson, B.L., Smart, M., and Hyberg, S., 2018, Past role and future outlook of the Conservation Reserve Program for supporting honey bees in the Great Plains: Proceedings of the National Academy of Sciences, v. 115, no. 29, p. 7629-7634, https://doi.org/10.1073/pnas.1800057115.","productDescription":"6 p.","startPage":"7629","endPage":"7634","ipdsId":"IP-092994","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468581,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.unl.edu/usgsstaffpub/1219","text":"Publisher Index Page"},{"id":357042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.045443,45.94531],[-104.045333,47.343452],[-104.041662,47.862282],[-104.048054,48.500025],[-104.048736,48.999877],[-97.229039,49.000687],[-97.238387,48.982631],[-97.239209,48.968684],[-97.230859,48.960891],[-97.232319,48.950501],[-97.224505,48.9341],[-97.218666,48.931781],[-97.219095,48.922078],[-97.210809,48.91395],[-97.210541,48.90439],[-97.198857,48.899831],[-97.198857,48.882215],[-97.185738,48.87222],[-97.187362,48.867598],[-97.175618,48.853105],[-97.173811,48.838309],[-97.180366,48.834365],[-97.177747,48.824815],[-97.180028,48.81845],[-97.165624,48.809627],[-97.163535,48.79507],[-97.158102,48.791145],[-97.155223,48.775499],[-97.147478,48.766033],[-97.151289,48.757428],[-97.139488,48.746611],[-97.135588,48.726403],[-97.116185,48.709348],[-97.118286,48.700573],[-97.097337,48.685186],[-97.102652,48.664793],[-97.100551,48.658614],[-97.111179,48.644525],[-97.109515,48.631453],[-97.125269,48.629694],[-97.124033,48.623267],[-97.130089,48.621166],[-97.131448,48.613998],[-97.136145,48.613256],[-97.143931,48.594594],[-97.142915,48.583733],[-97.148429,48.581028],[-97.151638,48.56763],[-97.157402,48.565921],[-97.158762,48.560112],[-97.152211,48.553933],[-97.16309,48.543964],[-97.148874,48.534282],[-97.153076,48.524148],[-97.148133,48.503384],[-97.138864,48.494362],[-97.139276,48.48631],[-97.143869,48.48293],[-97.141397,48.476256],[-97.144116,48.469212],[-97.132622,48.456482],[-97.137689,48.444247],[-97.13497,48.436337],[-97.139296,48.432011],[-97.1356,48.426524],[-97.142457,48.416727],[-97.138343,48.415944],[-97.135012,48.406735],[-97.145592,48.394195],[-97.140106,48.380479],[-97.147356,48.368723],[-97.147748,48.359905],[-97.137822,48.352003],[-97.137904,48.344585],[-97.131722,48.341123],[-97.134772,48.328677],[-97.127766,48.326781],[-97.127601,48.323319],[-97.131921,48.312728],[-97.122296,48.301388],[-97.128862,48.292882],[-97.12216,48.290056],[-97.116717,48.281246],[-97.131921,48.266023],[-97.127146,48.260874],[-97.127967,48.251474],[-97.138033,48.246236],[-97.135617,48.238988],[-97.140815,48.232032],[-97.136304,48.228984],[-97.137407,48.215245],[-97.134372,48.210434],[-97.146233,48.186054],[-97.141474,48.179099],[-97.146745,48.168556],[-97.138911,48.155304],[-97.142133,48.144981],[-97.131956,48.139563],[-97.120592,48.113365],[-97.123205,48.106648],[-97.109535,48.104723],[-97.104872,48.097851],[-97.105616,48.091362],[-97.099431,48.082106],[-97.103052,48.071669],[-97.097772,48.07108],[-97.072257,48.048068],[-97.068711,48.027694],[-97.070654,48.016918],[-97.063012,48.013179],[-97.064289,47.998508],[-97.053089,47.990252],[-97.059153,47.97538],[-97.057153,47.97048],[-97.061554,47.96588],[-97.052454,47.957179],[-97.054554,47.946279],[-97.036054,47.939379],[-97.035754,47.930179],[-97.017754,47.919778],[-97.023754,47.915878],[-97.017254,47.913078],[-97.015054,47.907178],[-97.023555,47.908478],[-97.020255,47.902178],[-97.024955,47.894978],[-97.018955,47.891078],[-97.024955,47.886878],[-97.019355,47.880278],[-97.023156,47.874978],[-97.002456,47.868677],[-97.005857,47.865277],[-96.998144,47.858882],[-96.998295,47.841724],[-96.986685,47.837639],[-96.979327,47.824533],[-96.980579,47.805614],[-96.975131,47.798326],[-96.95786,47.792021],[-96.96535,47.784937],[-96.956501,47.779798],[-96.956635,47.776188],[-96.939179,47.768397],[-96.934209,47.754517],[-96.929051,47.750331],[-96.932809,47.737139],[-96.919131,47.724731],[-96.92348,47.719809],[-96.915242,47.702369],[-96.907604,47.695119],[-96.908928,47.688722],[-96.900264,47.690775],[-96.896724,47.674758],[-96.885573,47.663443],[-96.88697,47.653049],[-96.882882,47.650168],[-96.882857,47.641714],[-96.888166,47.63973],[-96.882393,47.633489],[-96.879496,47.620576],[-96.870871,47.618042],[-96.874078,47.614774],[-96.857112,47.61076],[-96.851964,47.591469],[-96.856373,47.575749],[-96.853689,47.570381],[-96.859153,47.566355],[-96.858002,47.556578],[-96.853755,47.552497],[-96.855092,47.53731],[-96.866363,47.524893],[-96.863245,47.517266],[-96.854204,47.514368],[-96.851367,47.509037],[-96.851844,47.49939],[-96.85853,47.490889],[-96.854996,47.479618],[-96.859555,47.466865],[-96.856811,47.46319],[-96.859581,47.4587],[-96.858721,47.426129],[-96.864261,47.419539],[-96.84511,47.400483],[-96.840621,47.389881],[-96.846925,47.376891],[-96.852676,47.374973],[-96.848907,47.370565],[-96.852226,47.367291],[-96.844298,47.356021],[-96.844012,47.346182],[-96.835845,47.335914],[-96.83852,47.33238],[-96.835845,47.321014],[-96.842531,47.312418],[-96.837045,47.311391],[-96.832884,47.30449],[-96.844088,47.289981],[-96.84022,47.276981],[-96.8432,47.270486],[-96.839761,47.268767],[-96.841672,47.258164],[-96.835368,47.250428],[-96.838233,47.241831],[-96.833362,47.23505],[-96.838806,47.22502],[-96.832789,47.203911],[-96.838806,47.197894],[-96.83126,47.191781],[-96.831451,47.185572],[-96.826676,47.181561],[-96.829446,47.177262],[-96.822091,47.165036],[-96.822707,47.157668],[-96.83126,47.1509],[-96.832407,47.143736],[-96.824476,47.127188],[-96.827726,47.121481],[-96.821189,47.115723],[-96.818175,47.104193],[-96.819479,47.078181],[-96.823715,47.071717],[-96.821327,47.06293],[-96.824097,47.061497],[-96.819321,47.0529],[-96.818843,47.034179],[-96.821422,47.032842],[-96.818557,47.02778],[-96.829499,47.021537],[-96.834603,47.007721],[-96.82318,46.999965],[-96.819558,46.967453],[-96.79931,46.964118],[-96.799358,46.947355],[-96.792863,46.946018],[-96.791621,46.931213],[-96.785126,46.925769],[-96.763257,46.935063],[-96.759528,46.925769],[-96.765657,46.905063],[-96.770458,46.906763],[-96.776558,46.895663],[-96.773558,46.884763],[-96.767358,46.883663],[-96.768458,46.879563],[-96.780358,46.880163],[-96.782881,46.86459],[-96.779347,46.843672],[-96.789377,46.833166],[-96.787275,46.829059],[-96.80016,46.819664],[-96.802013,46.812464],[-96.796488,46.808709],[-96.796992,46.791572],[-96.784983,46.768788],[-96.783646,46.762579],[-96.787466,46.758472],[-96.783646,46.753123],[-96.784601,46.743094],[-96.781216,46.740944],[-96.784279,46.732993],[-96.779252,46.727429],[-96.791204,46.703747],[-96.784205,46.686768],[-96.792958,46.677427],[-96.798823,46.658071],[-96.790663,46.649112],[-96.791096,46.633155],[-96.774954,46.614625],[-96.772446,46.600129],[-96.766596,46.597957],[-96.756949,46.583534],[-96.752746,46.58277],[-96.7516,46.576371],[-96.746442,46.574078],[-96.744436,46.56596],[-96.74883,46.558127],[-96.736147,46.513478],[-96.73627,46.48138],[-96.72156,46.472115],[-96.714861,46.459132],[-96.718551,46.451913],[-96.718074,46.438255],[-96.709095,46.435294],[-96.696583,46.415617],[-96.678507,46.404823],[-96.669132,46.390037],[-96.667189,46.375458],[-96.658436,46.373391],[-96.655206,46.365964],[-96.646532,46.36251],[-96.645959,46.353532],[-96.629211,46.352654],[-96.618147,46.344295],[-96.620454,46.341346],[-96.601048,46.331139],[-96.598399,46.314482],[-96.60136,46.30413],[-96.595509,46.276689],[-96.59887,46.26069],[-96.590369,46.249515],[-96.598119,46.243112],[-96.59755,46.227733],[-96.583582,46.201047],[-96.587694,46.195262],[-96.587599,46.180075],[-96.577952,46.165843],[-96.579453,46.147601],[-96.56926,46.133686],[-96.570023,46.123756],[-96.563043,46.119512],[-96.56692,46.11475],[-96.557952,46.102442],[-96.554507,46.083978],[-96.559271,46.058272],[-96.566295,46.051416],[-96.57794,46.026874],[-96.574264,46.016545],[-96.57035,45.963595],[-96.562135,45.947718],[-96.566562,45.916931],[-96.56442,45.909415],[-96.574667,45.866816],[-96.574517,45.843098],[-96.583085,45.820024],[-96.596704,45.811801],[-96.612512,45.794442],[-96.627778,45.786239],[-96.641941,45.759871],[-96.662595,45.738682],[-96.745086,45.701576],[-96.760866,45.687518],[-96.835769,45.649648],[-96.844211,45.639583],[-96.857751,45.605962],[-96.76528,45.521414],[-96.745487,45.488712],[-96.732739,45.458737],[-96.692541,45.417338],[-96.680454,45.410499],[-96.617726,45.408092],[-96.562142,45.38609],[-96.521787,45.375645],[-96.489065,45.357071],[-96.453067,45.298115],[-96.453049,43.500415],[-96.598928,43.500457],[-96.599182,43.496011],[-96.586274,43.491099],[-96.580997,43.481384],[-96.586364,43.478251],[-96.587929,43.464878],[-96.600039,43.45708],[-96.60286,43.450907],[-96.594254,43.434153],[-96.570224,43.428601],[-96.573579,43.419228],[-96.537116,43.395063],[-96.525453,43.396317],[-96.521572,43.38564],[-96.522203,43.371947],[-96.527223,43.362257],[-96.52551,43.348335],[-96.534913,43.336473],[-96.525564,43.312467],[-96.530392,43.300034],[-96.553087,43.29286],[-96.580346,43.298204],[-96.577588,43.2788],[-96.586317,43.274319],[-96.58522,43.268878],[-96.553217,43.259141],[-96.552963,43.247281],[-96.571194,43.238961],[-96.568505,43.231554],[-96.56044,43.224219],[-96.535741,43.22764],[-96.520961,43.21824],[-96.496454,43.223652],[-96.476697,43.222014],[-96.470626,43.207225],[-96.473834,43.189804],[-96.465146,43.182971],[-96.466537,43.150281],[-96.459978,43.143516],[-96.450361,43.142237],[-96.436589,43.120842],[-96.439335,43.113916],[-96.462855,43.091419],[-96.454088,43.084197],[-96.46085,43.064033],[-96.476905,43.062383],[-96.488839,43.051475],[-96.508916,43.049985],[-96.518431,43.042068],[-96.509145,43.037297],[-96.511804,43.025799],[-96.499187,43.019213],[-96.49167,43.009707],[-96.496699,42.998807],[-96.509986,42.995126],[-96.512237,42.985937],[-96.520773,42.980385],[-96.515922,42.972886],[-96.506148,42.971348],[-96.500308,42.959391],[-96.509472,42.945151],[-96.519994,42.93976],[-96.516888,42.932512],[-96.523513,42.935784],[-96.541098,42.924496],[-96.536564,42.905656],[-96.542473,42.90504],[-96.526563,42.893755],[-96.52774,42.890588],[-96.540116,42.889678],[-96.537851,42.878475],[-96.549659,42.870281],[-96.550469,42.863742],[-96.546556,42.857273],[-96.54379,42.858254],[-96.544321,42.851282],[-96.553772,42.847501],[-96.551285,42.836606],[-96.558584,42.839487],[-96.565605,42.830434],[-96.571353,42.837155],[-96.579772,42.838093],[-96.58238,42.833657],[-96.577813,42.828719],[-96.584488,42.818979],[-96.594983,42.815844],[-96.595664,42.810426],[-96.592155,42.809924],[-96.595283,42.792982],[-96.603784,42.78372],[-96.61949,42.784034],[-96.633168,42.768325],[-96.628741,42.757532],[-96.621235,42.758084],[-96.619494,42.754792],[-96.630485,42.750378],[-96.639704,42.737071],[-96.631931,42.725086],[-96.626317,42.725951],[-96.624446,42.714294],[-96.630617,42.70588],[-96.612061,42.695688],[-96.59908,42.697296],[-96.596405,42.688514],[-96.575299,42.682665],[-96.574064,42.67801],[-96.578148,42.672765],[-96.572261,42.670776],[-96.568078,42.676241],[-96.556244,42.664396],[-96.559962,42.658543],[-96.543698,42.661377],[-96.537877,42.655431],[-96.538468,42.648092],[-96.516338,42.630435],[-96.518542,42.62035],[-96.530896,42.617129],[-96.529894,42.610432],[-96.517048,42.615343],[-96.509468,42.61273],[-96.501434,42.59061],[-96.494777,42.585741],[-96.49545,42.579474],[-96.485937,42.573524],[-96.497186,42.571464],[-96.498041,42.558153],[-96.476952,42.556079],[-96.479009,42.526395],[-96.49297,42.517282],[-96.490089,42.512441],[-96.477454,42.509589],[-96.473339,42.503537],[-96.476909,42.497795],[-96.474409,42.491895],[-96.443408,42.489495],[-96.478792,42.479635],[-96.501321,42.482749],[-96.515891,42.49427],[-96.528753,42.513273],[-96.548791,42.520547],[-96.567896,42.517877],[-96.591121,42.50541],[-96.611489,42.506088],[-96.628179,42.516963],[-96.63533,42.54764],[-96.643589,42.557604],[-96.681369,42.574486],[-96.7093,42.603753],[-96.711312,42.617375],[-96.689083,42.644081],[-96.686982,42.649783],[-96.691269,42.6562],[-96.728024,42.666882],[-96.76406,42.661985],[-96.793238,42.666024],[-96.802178,42.672237],[-96.800485,42.692466],[-96.806219,42.704149],[-96.843419,42.712024],[-96.860436,42.720797],[-96.886845,42.725222],[-96.906797,42.7338],[-96.948902,42.719465],[-96.961576,42.719841],[-96.965833,42.727096],[-96.960866,42.739089],[-96.96888,42.754278],[-96.97912,42.76009],[-97.02485,42.76243],[-97.065592,42.772189],[-97.096128,42.76934],[-97.131331,42.771929],[-97.150763,42.795566],[-97.166978,42.802087],[-97.210126,42.809296],[-97.21783,42.827766],[-97.218825,42.845848],[-97.237868,42.853139],[-97.289859,42.855499],[-97.306677,42.867604],[-97.336156,42.856802],[-97.359569,42.854816],[-97.376695,42.865195],[-97.393966,42.86425],[-97.408315,42.868334],[-97.417066,42.865918],[-97.442279,42.846224],[-97.49149,42.851625],[-97.504847,42.858477],[-97.531867,42.850105],[-97.561928,42.847552],[-97.611811,42.858367],[-97.657846,42.844626],[-97.686506,42.842435],[-97.774456,42.849774],[-97.817075,42.861781],[-97.828496,42.868797],[-97.84527,42.867734],[-97.875345,42.858724],[-97.875849,42.847725],[-97.888562,42.817251],[-97.908983,42.794909],[-97.936716,42.775754],[-97.950147,42.769619],[-97.977588,42.769923],[-98.000348,42.763256],[-98.035034,42.764205],[-98.059838,42.772772],[-98.067388,42.784759],[-98.127489,42.820127],[-98.146933,42.839823],[-98.167523,42.836925],[-98.189765,42.841628],[-98.219826,42.853157],[-98.24982,42.871843],[-98.280007,42.874996],[-98.325864,42.8865],[-98.34623,42.902747],[-98.42074,42.931924],[-98.444145,42.929242],[-98.447047,42.935117],[-98.467356,42.947556],[-98.490483,42.977948],[-98.49855,42.99856],[-101.625424,42.996238],[-101.849982,42.999329],[-104.053127,43.000585],[-104.057698,44.997431],[-104.039681,44.998041],[-104.045443,45.94531]]]},\"properties\":{\"name\":\"North Dakota\",\"nation\":\"USA  \"}}]}","volume":"115","issue":"29","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-02","publicationStatus":"PW","scienceBaseUri":"5b98a298e4b0702d0e842f89","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":744062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zheng, Haochi","contributorId":207527,"corporation":false,"usgs":false,"family":"Zheng","given":"Haochi","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":744063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":744064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iovanna, Rich","contributorId":207528,"corporation":false,"usgs":false,"family":"Iovanna","given":"Rich","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":744065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson, Benjamin L.","contributorId":207530,"corporation":false,"usgs":false,"family":"Carlson","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":37554,"text":"Xerces Society","active":true,"usgs":false}],"preferred":false,"id":744067,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smart, Matthew 0000-0003-0711-3035 msmart@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-3035","contributorId":174424,"corporation":false,"usgs":true,"family":"Smart","given":"Matthew","email":"msmart@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":744068,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hyberg, Skip","contributorId":90407,"corporation":false,"usgs":true,"family":"Hyberg","given":"Skip","email":"","affiliations":[],"preferred":false,"id":744066,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198147,"text":"70198147 - 2018 - Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study","interactions":[],"lastModifiedDate":"2018-07-17T15:43:38","indexId":"70198147","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1510,"text":"Energy Policy","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study","docAbstract":"The juxtaposition of wildlife and wind or solar energy facility infrastructure can present problems for developers, planners, policy makers, and management agencies. Guidance on siting of these renewable energy facilities may help identify potential wildlife-facility conflicts with species of regulatory or economic concern. However, existing spatial guidance usually does not consider all wildlife that might use a potential facility location or corridors for its servicing infrastructure. We illustrate an approach toward assessing potential wildlife-facility conflicts using readily available vertebrate habitat models. The U.S. Geological Survey's Gap Analysis Program (GAP) has developed spatial models of potential habitat for vertebrate species across the entire nation. To illustrate their applicability, we used GAP models to estimate richness of all native, terrestrial vertebrates within Arizona and for those vertebrates grouped by class or by sensitivity to the type of facility infrastructure. We examined the spatial overlap of high species richness of each group with agency-developed guidance used to inform facility-siting decisions and found that GAP-based richness mappings augmented existing guidance. As the GAP vertebrate habitat models are publicly available for the entire USA, use of these data can provide a coarse view of potential wildlife-facility conflicts and inform facility planning early in the process.","language":"English","publisher":"Elsevier","doi":"10.1016/j.enpol.2018.01.052","usgsCitation":"Thomas, K.A., Jarchow, C., Arundel, T.R., Jamwal, P., Borens, A., and Drost, C.A., 2018, Landscape-scale wildlife species richness metrics to inform wind and solar energy facility siting: An Arizona case study: Energy Policy, v. 116, p. 145-152, https://doi.org/10.1016/j.enpol.2018.01.052.","productDescription":"8 p.","startPage":"145","endPage":"152","ipdsId":"IP-087101","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468584,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enpol.2018.01.052","text":"Publisher Index Page"},{"id":437826,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70C4V08","text":"USGS data release","linkHelpText":"Landscape-scale wildlife species richness metrics"},{"id":355747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-112.538593,37.000674],[-111.405517,37.001497],[-111.278286,37.000465],[-111.254853,37.001077],[-111.133718,37.000779],[-111.066496,37.002389],[-110.599512,37.003448],[-110.50069,37.00426],[-110.490908,37.003566],[-110.47019,36.997997],[-110.021778,36.998602],[-110.000876,36.998502],[-110.000677,36.997968],[-109.875673,36.998504],[-109.625668,36.998308],[-109.495338,36.999105],[-109.246917,36.999346],[-109.045223,36.999084],[-109.046796,35.363606],[-109.046084,35.250025],[-109.046072,34.828566],[-109.045624,34.814226],[-109.046104,34.799981],[-109.045363,34.785406],[-109.046086,34.771016],[-109.047006,34.00005],[-109.046426,33.875052],[-109.047145,33.74001],[-109.046662,33.625055],[-109.047298,33.409783],[-109.046564,33.37506],[-109.047045,33.36928],[-109.04747,33.250063],[-109.046905,33.091931],[-109.04748,33.06842],[-109.047117,32.77757],[-109.049112,31.636598],[-109.050173,31.480004],[-109.050044,31.332502],[-109.278489,31.333959],[-109.829689,31.334067],[-110.000613,31.333145],[-110.140512,31.333965],[-110.460172,31.332827],[-110.795467,31.33363],[-111.000643,31.332177],[-111.074825,31.332239],[-111.125646,31.348978],[-111.560194,31.488138],[-111.979417,31.620683],[-112.246102,31.704195],[-112.867074,31.895488],[-113.125961,31.97278],[-113.217308,32.002107],[-113.493196,32.088943],[-113.78168,32.179034],[-114.250775,32.32391],[-114.50078,32.400057],[-114.813613,32.494277],[-114.813991,32.497231],[-114.812316,32.500054],[-114.813694,32.505065],[-114.81237,32.507712],[-114.807726,32.508726],[-114.806017,32.510094],[-114.804694,32.512476],[-114.804958,32.517506],[-114.809723,32.520153],[-114.811576,32.523594],[-114.810563,32.527666],[-114.8064,32.531192],[-114.802181,32.536414],[-114.802018,32.53946],[-114.804776,32.541659],[-114.80583,32.546354],[-114.803883,32.548002],[-114.795635,32.550956],[-114.793769,32.552329],[-114.792065,32.555009],[-114.791551,32.557023],[-114.791988,32.560652],[-114.794635,32.563564],[-114.795959,32.564093],[-114.79766,32.564444],[-114.804429,32.561976],[-114.808929,32.561976],[-114.810517,32.563828],[-114.810517,32.56727],[-114.808929,32.569652],[-114.804421,32.572942],[-114.801877,32.57601],[-114.801471,32.578255],[-114.803879,32.580889],[-114.803987,32.582652],[-114.800441,32.58808],[-114.799683,32.593621],[-114.801548,32.598591],[-114.805932,32.600721],[-114.807906,32.602783],[-114.809042,32.608806],[-114.809393,32.617119],[-114.80739,32.621332],[-114.799302,32.625115],[-114.794102,32.622475],[-114.791179,32.621833],[-114.781872,32.62505],[-114.78267,32.628634],[-114.782235,32.630215],[-114.779215,32.633579],[-114.774482,32.635869],[-114.764382,32.642666],[-114.76331,32.644617],[-114.763512,32.645996],[-114.765067,32.648047],[-114.76495,32.649391],[-114.75831,32.655178],[-114.753111,32.658304],[-114.748,32.664184],[-114.747848,32.667693],[-114.745345,32.672187],[-114.744491,32.678671],[-114.730453,32.698843],[-114.730086,32.704298],[-114.722746,32.713071],[-114.717665,32.721654],[-114.714522,32.73039],[-114.701918,32.745548],[-114.69879,32.744846],[-114.688779,32.737675],[-114.684278,32.737537],[-114.667493,32.734226],[-114.65826,32.733799],[-114.632686,32.730846],[-114.618373,32.728245],[-114.615585,32.728446],[-114.614772,32.734089],[-114.612697,32.734516],[-114.581784,32.734946],[-114.581736,32.742321],[-114.564508,32.742298],[-114.564447,32.749554],[-114.539224,32.749812],[-114.539093,32.756949],[-114.526856,32.757094],[-114.528443,32.767276],[-114.531831,32.774264],[-114.532432,32.776923],[-114.531669,32.791185],[-114.528849,32.796307],[-114.522031,32.801675],[-114.515389,32.811439],[-114.510217,32.816417],[-114.494116,32.823288],[-114.468971,32.845155],[-114.465546,32.874809],[-114.465715,32.87942],[-114.463127,32.901884],[-114.462929,32.907944],[-114.464448,32.913129],[-114.47664,32.923628],[-114.479005,32.928291],[-114.48092,32.935252],[-114.48074,32.937027],[-114.478456,32.940555],[-114.474042,32.94515],[-114.470833,32.949333],[-114.469113,32.952673],[-114.46773,32.956323],[-114.467272,32.960675],[-114.467664,32.966861],[-114.469039,32.972295],[-114.470988,32.97406],[-114.476156,32.975168],[-114.480417,32.973665],[-114.481315,32.972064],[-114.488625,32.969946],[-114.490129,32.969885],[-114.492938,32.971781],[-114.494212,32.974262],[-114.495712,32.980076],[-114.499797,33.003905],[-114.50613,33.01701],[-114.511343,33.023455],[-114.52013,33.029984],[-114.523578,33.030961],[-114.538459,33.033422],[-114.553189,33.033974],[-114.571653,33.036624],[-114.575161,33.036542],[-114.578287,33.035375],[-114.581404,33.032545],[-114.584765,33.028231],[-114.589778,33.026228],[-114.601014,33.02541],[-114.618788,33.027202],[-114.625787,33.029436],[-114.628293,33.031052],[-114.639553,33.045291],[-114.64598,33.048903],[-114.649001,33.046763],[-114.655038,33.037107],[-114.657827,33.033825],[-114.659832,33.032665],[-114.662317,33.032671],[-114.66506,33.033908],[-114.670803,33.037984],[-114.673659,33.041897],[-114.675104,33.047532],[-114.674296,33.057171],[-114.686991,33.070969],[-114.68912,33.076122],[-114.689307,33.079179],[-114.688597,33.082869],[-114.68902,33.084036],[-114.692548,33.085786],[-114.701165,33.086368],[-114.70473,33.087051],[-114.706488,33.08816],[-114.707819,33.091102],[-114.707896,33.097432],[-114.703682,33.113769],[-114.696829,33.131209],[-114.689995,33.137883],[-114.687074,33.142196],[-114.682253,33.155214],[-114.679359,33.159519],[-114.678729,33.162948],[-114.680248,33.169717],[-114.679034,33.174738],[-114.675831,33.18152],[-114.67536,33.185489],[-114.67519,33.188179],[-114.678749,33.203448],[-114.673715,33.219245],[-114.673626,33.223121],[-114.674479,33.225504],[-114.678097,33.2303],[-114.682731,33.234918],[-114.689421,33.24525],[-114.689541,33.246428],[-114.688205,33.247966],[-114.674491,33.255597],[-114.672088,33.258499],[-114.672401,33.26047],[-114.677032,33.27017],[-114.680507,33.273577],[-114.684363,33.276025],[-114.694449,33.279786],[-114.711197,33.283342],[-114.717875,33.285157],[-114.72167,33.286982],[-114.723259,33.288079],[-114.731223,33.302434],[-114.731222,33.304039],[-114.729904,33.305745],[-114.723623,33.31211],[-114.710792,33.320607],[-114.707962,33.323421],[-114.705241,33.327767],[-114.700938,33.337014],[-114.698035,33.352442],[-114.699053,33.361148],[-114.707348,33.376628],[-114.70731,33.382542],[-114.708408,33.384147],[-114.713602,33.388257],[-114.722872,33.398779],[-114.725292,33.402342],[-114.725282,33.405048],[-114.723829,33.406531],[-114.720065,33.407891],[-114.710878,33.407254],[-114.701732,33.408388],[-114.697707,33.410942],[-114.695655,33.415127],[-114.687953,33.417944],[-114.673901,33.418299],[-114.658382,33.413036],[-114.652828,33.412922],[-114.64954,33.413633],[-114.643302,33.416745],[-114.635183,33.422726],[-114.62964,33.428138],[-114.627125,33.433554],[-114.622283,33.447558],[-114.623395,33.45449],[-114.622918,33.456561],[-114.612472,33.470768],[-114.601696,33.481394],[-114.599713,33.484315],[-114.597283,33.490653],[-114.591554,33.499443],[-114.588239,33.502453],[-114.580468,33.506465],[-114.573757,33.507543],[-114.569533,33.509219],[-114.560963,33.516739],[-114.560835,33.524334],[-114.558898,33.531819],[-114.542011,33.542481],[-114.524599,33.552231],[-114.524391,33.553683],[-114.526834,33.557466],[-114.535965,33.569154],[-114.5403,33.580615],[-114.540617,33.591412],[-114.529186,33.60665],[-114.524813,33.611351],[-114.524619,33.61426],[-114.525783,33.616588],[-114.527938,33.618839],[-114.529662,33.622794],[-114.529856,33.627448],[-114.526947,33.633073],[-114.526947,33.637534],[-114.53005,33.647619],[-114.530244,33.65014],[-114.525201,33.658092],[-114.525201,33.661583],[-114.529706,33.668031],[-114.530999,33.671102],[-114.531523,33.675108],[-114.530348,33.679245],[-114.527782,33.682684],[-114.523959,33.685879],[-114.512409,33.691282],[-114.504993,33.693022],[-114.496489,33.696901],[-114.495719,33.698454],[-114.494197,33.707922],[-114.494901,33.71443],[-114.496565,33.719155],[-114.500788,33.722204],[-114.502661,33.724584],[-114.504176,33.728055],[-114.506799,33.730518],[-114.510265,33.732146],[-114.512348,33.734214],[-114.508206,33.741587],[-114.504483,33.750998],[-114.504863,33.760465],[-114.507089,33.76793],[-114.516734,33.788345],[-114.520094,33.799473],[-114.52805,33.814963],[-114.527161,33.816191],[-114.522714,33.818979],[-114.520733,33.822031],[-114.51997,33.825381],[-114.523409,33.835323],[-114.525539,33.838614],[-114.529597,33.848063],[-114.529385,33.851755],[-114.528451,33.854929],[-114.526771,33.857357],[-114.52453,33.858477],[-114.516811,33.85812],[-114.514673,33.858638],[-114.505638,33.864276],[-114.503887,33.865754],[-114.503017,33.867998],[-114.503395,33.875018],[-114.50434,33.876882],[-114.516501,33.885926],[-114.518928,33.891714],[-114.517808,33.894889],[-114.516314,33.896196],[-114.508708,33.90064],[-114.507988,33.901813],[-114.50792,33.903807],[-114.508558,33.906098],[-114.511511,33.911092],[-114.518434,33.917518],[-114.525361,33.922272],[-114.533679,33.926072],[-114.534987,33.928499],[-114.535478,33.934651],[-114.52868,33.947817],[-114.522002,33.955623],[-114.51586,33.958106],[-114.511231,33.95704],[-114.509568,33.957264],[-114.499883,33.961789],[-114.495047,33.966835],[-114.484784,33.975519],[-114.481455,33.981261],[-114.475907,33.984424],[-114.471138,33.98804],[-114.467932,33.992877],[-114.462377,33.993781],[-114.46117,33.994687],[-114.460264,33.996649],[-114.460415,33.999215],[-114.46283,34.004497],[-114.463132,34.00661],[-114.46283,34.008421],[-114.46117,34.010081],[-114.458906,34.010835],[-114.454807,34.010968],[-114.450206,34.012574],[-114.443821,34.016176],[-114.44054,34.019329],[-114.438266,34.022609],[-114.436171,34.028083],[-114.434949,34.037784],[-114.435504,34.042615],[-114.438602,34.050205],[-114.439406,34.05381],[-114.43934,34.057893],[-114.437683,34.071937],[-114.435429,34.079727],[-114.434181,34.087379],[-114.428026,34.092787],[-114.426168,34.097042],[-114.420499,34.103466],[-114.415908,34.107636],[-114.411681,34.110031],[-114.405941,34.11154],[-114.401352,34.111652],[-114.390565,34.110084],[-114.379234,34.115988],[-114.369297,34.117517],[-114.366521,34.118575],[-114.360402,34.123577],[-114.356373,34.130429],[-114.353031,34.133121],[-114.348052,34.134458],[-114.336112,34.134035],[-114.324576,34.136759],[-114.320777,34.138635],[-114.312206,34.144776],[-114.292806,34.166725],[-114.287294,34.170529],[-114.275267,34.17215],[-114.268267,34.17021],[-114.254141,34.173831],[-114.244191,34.179625],[-114.240712,34.183232],[-114.229715,34.186928],[-114.227034,34.188866],[-114.224941,34.193896],[-114.225861,34.201774],[-114.225194,34.203642],[-114.211761,34.211539],[-114.208253,34.215505],[-114.190876,34.230858],[-114.17805,34.239969],[-114.176403,34.241512],[-114.173119,34.247226],[-114.166536,34.249647],[-114.164476,34.251667],[-114.161826,34.257038],[-114.159697,34.258242],[-114.153346,34.258289],[-114.147159,34.259564],[-114.139055,34.259538],[-114.136185,34.261296],[-114.134612,34.263518],[-114.134427,34.266387],[-114.137045,34.277018],[-114.13605,34.280833],[-114.138365,34.288564],[-114.139534,34.295844],[-114.138167,34.300936],[-114.138282,34.30323],[-114.14093,34.305919],[-114.157206,34.317862],[-114.168807,34.339513],[-114.176909,34.349306],[-114.185556,34.354386],[-114.191094,34.356125],[-114.199482,34.361373],[-114.213774,34.36246],[-114.226107,34.365916],[-114.229686,34.368908],[-114.234275,34.376662],[-114.245261,34.385659],[-114.252739,34.3901],[-114.264317,34.401329],[-114.267521,34.402486],[-114.280108,34.403147],[-114.286802,34.40534],[-114.288663,34.406623],[-114.291751,34.411104],[-114.292226,34.417606],[-114.294836,34.421389],[-114.301016,34.426807],[-114.312251,34.432726],[-114.319054,34.435831],[-114.32613,34.437251],[-114.330669,34.445295],[-114.335372,34.450038],[-114.339627,34.451435],[-114.342615,34.451442],[-114.356025,34.449744],[-114.363404,34.447773],[-114.373719,34.446938],[-114.375789,34.447798],[-114.378852,34.450376],[-114.386699,34.457911],[-114.387407,34.460492],[-114.387187,34.462021],[-114.381701,34.47604],[-114.383038,34.488903],[-114.382358,34.495757],[-114.378124,34.507288],[-114.378223,34.516521],[-114.380838,34.529724],[-114.389603,34.542982],[-114.405228,34.569637],[-114.422382,34.580711],[-114.429747,34.591734],[-114.43009,34.596874],[-114.424326,34.602338],[-114.424202,34.610453],[-114.428648,34.614641],[-114.438739,34.621455],[-114.441398,34.630171],[-114.440294,34.63824],[-114.441465,34.64253],[-114.444276,34.646542],[-114.449549,34.651423],[-114.451753,34.654321],[-114.452628,34.659573],[-114.451785,34.663891],[-114.451971,34.666795],[-114.454305,34.671234],[-114.456567,34.677956],[-114.462178,34.6858],[-114.465246,34.691202],[-114.46809,34.701786],[-114.46862,34.707573],[-114.470477,34.711368],[-114.47162,34.712966],[-114.473682,34.713964],[-114.481954,34.716036],[-114.486768,34.7191],[-114.490971,34.724848],[-114.495858,34.727956],[-114.510292,34.733582],[-114.516619,34.736745],[-114.529615,34.750822],[-114.540306,34.757109],[-114.552682,34.766871],[-114.558653,34.773852],[-114.57101,34.794294],[-114.574569,34.805746],[-114.576452,34.8153],[-114.581126,34.826115],[-114.586842,34.835672],[-114.592339,34.841153],[-114.600653,34.847361],[-114.619878,34.856873],[-114.623939,34.859738],[-114.630682,34.866352],[-114.635176,34.875003],[-114.636768,34.885705],[-114.636725,34.889107],[-114.635425,34.895192],[-114.630877,34.907263],[-114.630552,34.911852],[-114.633237,34.92123],[-114.633253,34.924608],[-114.632196,34.930628],[-114.629753,34.938684],[-114.629811,34.94481],[-114.631681,34.95131],[-114.634953,34.958918],[-114.635237,34.965149],[-114.634607,34.96906],[-114.629907,34.980791],[-114.629015,34.986148],[-114.62919,34.991887],[-114.629928,34.99474],[-114.633013,35.002085],[-114.636674,35.008807],[-114.638023,35.020556],[-114.636893,35.028367],[-114.632429,35.037586],[-114.627124,35.044721],[-114.606694,35.058941],[-114.603619,35.064226],[-114.602908,35.068588],[-114.604736,35.07483],[-114.613132,35.083097],[-114.622517,35.088703],[-114.642831,35.096503],[-114.646759,35.101872],[-114.644352,35.105904],[-114.629934,35.118272],[-114.619905,35.121632],[-114.59912,35.12105],[-114.58774,35.123729],[-114.578524,35.12875],[-114.572747,35.138725],[-114.569569,35.163053],[-114.569238,35.18348],[-114.572119,35.200591],[-114.574835,35.205898],[-114.579963,35.20964],[-114.583559,35.22993],[-114.583111,35.23809],[-114.587129,35.262376],[-114.597503,35.296954],[-114.595931,35.325234],[-114.604314,35.353584],[-114.611435,35.369056],[-114.627137,35.409504],[-114.652005,35.429165],[-114.662125,35.444241],[-114.6645,35.449497],[-114.666377,35.466856],[-114.672901,35.481708],[-114.677643,35.489742],[-114.679205,35.499992],[-114.677205,35.513491],[-114.673805,35.517891],[-114.663105,35.524491],[-114.658005,35.530491],[-114.656905,35.534391],[-114.657405,35.536391],[-114.660205,35.539291],[-114.662005,35.545491],[-114.663005,35.56369],[-114.666184,35.577576],[-114.665649,35.580428],[-114.659606,35.58749],[-114.654306,35.59759],[-114.653406,35.610789],[-114.658206,35.619089],[-114.677107,35.641489],[-114.689407,35.651412],[-114.690008,35.664688],[-114.682207,35.678188],[-114.680607,35.685488],[-114.683208,35.689387],[-114.694108,35.695187],[-114.701208,35.701187],[-114.705409,35.708287],[-114.705309,35.711587],[-114.697309,35.733686],[-114.695709,35.755986],[-114.701409,35.769086],[-114.69891,35.790185],[-114.71211,35.806185],[-114.70991,35.810185],[-114.70371,35.814585],[-114.69571,35.830601],[-114.699848,35.843283],[-114.699848,35.84837],[-114.697767,35.854844],[-114.68201,35.863284],[-114.679501,35.868023],[-114.67742,35.874728],[-114.68112,35.885364],[-114.700271,35.901772],[-114.708516,35.912313],[-114.707526,35.92806],[-114.715692,35.934709],[-114.729356,35.941413],[-114.731159,35.943916],[-114.728318,35.95629],[-114.729941,35.962183],[-114.740595,35.975656],[-114.743756,35.985095],[-114.742779,36.009963],[-114.740522,36.013336],[-114.731162,36.021862],[-114.729707,36.028166],[-114.730435,36.031317],[-114.734314,36.035681],[-114.739405,36.037863],[-114.740617,36.041015],[-114.740375,36.049258],[-114.736738,36.054349],[-114.736253,36.05847],[-114.743342,36.070535],[-114.754099,36.07944],[-114.755491,36.081601],[-114.755618,36.087166],[-114.753638,36.090705],[-114.747079,36.097005],[-114.736165,36.104367],[-114.717293,36.107686],[-114.709771,36.107742],[-114.666538,36.117343],[-114.66289,36.119932],[-114.65995,36.124145],[-114.631716,36.142306],[-114.627855,36.141012],[-114.621883,36.13213],[-114.616694,36.130101],[-114.608264,36.133949],[-114.597212,36.142103],[-114.572031,36.15161],[-114.545789,36.152248],[-114.511721,36.150956],[-114.506711,36.148277],[-114.504631,36.145629],[-114.506144,36.134659],[-114.505766,36.131444],[-114.504442,36.129741],[-114.502172,36.128796],[-114.49612,36.12785],[-114.487034,36.129396],[-114.470152,36.138801],[-114.463637,36.139695],[-114.458369,36.138586],[-114.453325,36.130726],[-114.448654,36.12641],[-114.446605,36.12597],[-114.427169,36.136305],[-114.41695,36.145761],[-114.412373,36.147254],[-114.405475,36.147371],[-114.372106,36.143114],[-114.363109,36.130246],[-114.337273,36.10802],[-114.328777,36.105501],[-114.30843,36.082443],[-114.305738,36.074882],[-114.307879,36.071291],[-114.314206,36.066619],[-114.316109,36.063109],[-114.315557,36.059494],[-114.314028,36.058165],[-114.280202,36.046362],[-114.270645,36.03572],[-114.266721,36.029238],[-114.263146,36.025937],[-114.252651,36.020193],[-114.238799,36.014561],[-114.233289,36.014289],[-114.21369,36.015613],[-114.19238,36.020993],[-114.176824,36.027651],[-114.166465,36.027738],[-114.15413,36.023862],[-114.151725,36.024563],[-114.148191,36.028013],[-114.138202,36.041284],[-114.137188,36.046785],[-114.138203,36.053161],[-114.136896,36.059467],[-114.114531,36.095217],[-114.114165,36.096982],[-114.117459,36.100893],[-114.123221,36.104746],[-114.123975,36.106515],[-114.123144,36.111576],[-114.120862,36.114596],[-114.111011,36.119875],[-114.103222,36.120176],[-114.09987,36.121654],[-114.088954,36.144381],[-114.068027,36.180663],[-114.060302,36.189363],[-114.046838,36.194069],[-114.046743,36.245246],[-114.048226,36.268874],[-114.048515,36.289598],[-114.046935,36.315449],[-114.047584,36.325573],[-114.045806,36.391071],[-114.045829,36.442973],[-114.046488,36.473449],[-114.048476,36.49998],[-114.04966,36.621113],[-114.050167,36.624978],[-114.050562,36.656259],[-114.050619,36.843128],[-114.049995,36.957769],[-114.0506,37.000396],[-112.538593,37.000674]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  \"}}]}","volume":"116","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc410e4b0f5d57878e9bd","contributors":{"authors":[{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarchow, Christopher 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":196069,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arundel, Terence R. 0000-0003-0324-4249 tarundel@usgs.gov","orcid":"https://orcid.org/0000-0003-0324-4249","contributorId":139242,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jamwal, Pankaj","contributorId":204006,"corporation":false,"usgs":false,"family":"Jamwal","given":"Pankaj","email":"","affiliations":[{"id":36303,"text":"unknown","active":true,"usgs":false}],"preferred":false,"id":740254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borens, Amanda","contributorId":206372,"corporation":false,"usgs":false,"family":"Borens","given":"Amanda","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":740255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":740256,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198145,"text":"70198145 - 2018 - Statistical approach to neural network imaging of karst systems in 3D seismic reflection data","interactions":[],"lastModifiedDate":"2018-07-18T09:53:59","indexId":"70198145","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Statistical approach to neural network imaging of karst systems in 3D seismic reflection data","docAbstract":"The current lack of a robust, standardized technique for geophysical mapping of karst systems can be attributed to both the complexity of the environment and prior technological limitations. Abrupt lateral variations in physical properties that are inherent to karst systems generate significant geophysical noise, challenging conventional seismic signal processing and interpretation. Modern application of neural networks to multi-attribute seismic interpretation now provide a semiautomated method for identifying and leveraging the nonlinear relationships exhibited among seismic attributes. The ambiguity generally associated with designing neural networks for seismic object detection can be reduced via statistical analysis of the extracted attribute data. A data-driven approach to selecting the appropriate set of input seismic attributes, as well as the locations and minimum number of training examples, provides a more objective and computationally efficient method for identifying karst systems using reflection seismology. This statistically optimized neural network technique is thoroughly demonstrated using three-dimensional seismic reflection data collected from the southeastern portion of the Florida carbonate platform. Several dimensionality reduction methods are applied and the resulting karst probability models are evaluated relative to one another based on both quantitative and qualitative criteria. Comparing the preferred model, using quadratic discriminant analysis, to previously available seismic object detection workflows demonstrates the karst-specific nature of the tool. Results suggest that the karst multi-attribute workflow presented is capable of approximating the structural boundaries of karst systems with more accuracy and efficiency than a human counterpart or previously presented seismic interpretation schemes. This objective technique, using solely three-dimensional seismic reflection data, likely represents the most practical approach to mapping karst systems for subsequent hydrogeological modeling.","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/int-2017-0197.1","usgsCitation":"Ebuna, D., Kluesner, J., Cunningham, K.J., and Edwards, J.H., 2018, Statistical approach to neural network imaging of karst systems in 3D seismic reflection data: Interpretation, v. 6, no. 3, p. B15-B35, https://doi.org/10.1190/int-2017-0197.1.","productDescription":"21 p.","startPage":"B15","endPage":"B35","ipdsId":"IP-090061","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":355752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc411e4b0f5d57878e9c1","contributors":{"authors":[{"text":"Ebuna, Daniel","contributorId":201729,"corporation":false,"usgs":true,"family":"Ebuna","given":"Daniel","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluesner, Jared W. 0000-0003-1701-8832","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":206367,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":740228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":740230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Joel H.","contributorId":202599,"corporation":false,"usgs":false,"family":"Edwards","given":"Joel","email":"","middleInitial":"H.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":740231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198146,"text":"70198146 - 2018 - Turing-style tests for UCERF3 synthetic catalogs","interactions":[],"lastModifiedDate":"2018-07-17T16:07:30","indexId":"70198146","displayToPublicDate":"2018-07-17T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Turing-style tests for UCERF3 synthetic catalogs","docAbstract":"Epidemic-Type Aftershock Sequence (ETAS) catalogs generated from the 3rd Uniform California Earthquake Rupture Forecast (UCERF3) model are unique in that they are the first to combine a complex, fault-based long-term forecast with short-term earthquake clustering statistics. We present Turing-style tests to examine whether these synthetic catalogs can successfully imitate observed earthquake behavior in California. We find that UCERF3-ETAS is more spatially diffuse than the observed historic catalog in California and that it is lacking quiet periods that are present in the real catalog. While mean aftershock productivity of the observed catalog is matched closely by UCERF3-ETAS, the real catalog has more inter-sequence productivity variability and small mainshocks have more foreshocks. In sum, we find that UCERF3-ETAS differs from the observed catalog in ways that are foreseeable from its modeling simplifications. The tests we present here can be used on any model which produces suites of synthetic catalogs; as such, in addition to providing avenues for future improvements to the model, they could also be incorporated into testing platforms such as Collaboratory for the Study of Earthquake Predictability (CSEP).","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170223","usgsCitation":"Page, M.T., and van der Elst, N., 2018, Turing-style tests for UCERF3 synthetic catalogs: Bulletin of the Seismological Society of America, v. 108, no. 2, p. 729-741, https://doi.org/10.1785/0120170223.","productDescription":"13 p.","startPage":"729","endPage":"741","ipdsId":"IP-088449","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5b6fc410e4b0f5d57878e9bf","contributors":{"authors":[{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":740249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198109,"text":"70198109 - 2018 - The science, engineering applications, and policy implications of simulation-based PSHA","interactions":[],"lastModifiedDate":"2018-12-11T13:18:25","indexId":"70198109","displayToPublicDate":"2018-07-16T12:36:41","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The science, engineering applications, and policy implications of simulation-based PSHA","docAbstract":"<p>We summarize scientific methods for developing probabilistic seismic hazard assessments from 3-D earthquake ground motion simulations, describe current use of simulated ground motions for engineering applications, and discuss on-going efforts to incorporate these effects in the U.S. national seismic hazard model. The 3-D simulations provide important, additional information about earthquake ground-shaking, which is critical to proper characterization of potential ground motions. Example uses of these simulations for engineering applications provide alternative approaches to introducing the effects of deep basins on long-period ground motions into design requirements. In Seattle, Washington tall building design includes requirements for accounting for the effect of the Seattle basin, and one method for including this effect relies upon local 3-D simulations. In Los Angeles, California a working group of scientists and engineers is advancing the use of local 3-D simulations for local building codes. In light of the benefit to ground motion characterization from the use of 3-D simulations, similar efforts are underway for national-scale seismic hazard analyses, which seek to make use of the extensive work applied from local efforts; current methods for incorporating these effects on a national-scale are presented.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Eleventh United States national conference on earthquake engineering","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Eleventh U.S. national conference on earthquake engineering","conferenceDate":"June 25-29, 2016","conferenceLocation":"Los Angeles, CA","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Moschetti, M.P., Chang, S.P., Crouse, C., Frankel, A.D., Graves, R., Puangnak, H., Luco, N., Goulet, C.A., Rezaeian, S., Shumway, A., Powers, P.M., Petersen, M.D., Callaghan, S., Jordan, T., and Milner, K.R., 2018, The science, engineering applications, and policy implications of simulation-based PSHA, <i>in</i> Eleventh United States national conference on earthquake engineering, Los Angeles, CA, June 25-29, 2016, 10 p.","productDescription":"10 p.","ipdsId":"IP-097292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":360164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360160,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://11ncee.org/component/eventprogram/?view=events&category=special-sessions"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51d0","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":753811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Sandra P.","contributorId":196915,"corporation":false,"usgs":false,"family":"Chang","given":"Sandra","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":740047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crouse, C.B","contributorId":187486,"corporation":false,"usgs":false,"family":"Crouse","given":"C.B","affiliations":[],"preferred":false,"id":740048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puangnak, H","contributorId":206310,"corporation":false,"usgs":false,"family":"Puangnak","given":"H","email":"","affiliations":[{"id":37306,"text":"GeoEngineers, Inc","active":true,"usgs":false}],"preferred":false,"id":740051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":740053,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":753812,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":740055,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":740056,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Callaghan, Scott","contributorId":195136,"corporation":false,"usgs":false,"family":"Callaghan","given":"Scott","email":"","affiliations":[],"preferred":false,"id":740057,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jordan, T.H.","contributorId":206311,"corporation":false,"usgs":false,"family":"Jordan","given":"T.H.","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":740058,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Milner, Kevin R.","contributorId":194141,"corporation":false,"usgs":false,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":740059,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70197877,"text":"sir20185084 - 2018 - Water budget of the upper Chehalis River Basin, southwestern Washington","interactions":[],"lastModifiedDate":"2018-07-17T10:32:26","indexId":"sir20185084","displayToPublicDate":"2018-07-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5084","title":"Water budget of the upper Chehalis River Basin, southwestern Washington","docAbstract":"<p>Groundwater and surface water collectively supply the domestic, agricultural, and industrial needs of the 895-square mile upper Chehalis River Basin upstream of Grand Mound, Washington, while providing streamflow for fish and other aquatic species in the Chehalis River and its tributaries. To support sustainable water management decision-making, a water budget (including precipitation, interception, groundwater recharge, surface runoff, and groundwater pumping) was developed for the upper Chehalis River Basin during October 2001–September 2015. Water-budget components were estimated from the U.S. Geological Survey Soil-Water-Balance (SWB) model except for groundwater pumping, which was estimated from public water purveyor records, annual system data from the Washington State Department of Health, census population data, and water-use estimates. Groundwater recharge estimated from the SWB model was compared to base flow, a proxy for groundwater recharge, independently estimated from separation of the hydrograph recorded by the U.S. Geological Survey streamgage at the outlet of the basin. Mean annual precipitation for the basin was estimated at 72.6 inches, of which 35 percent was lost to evapotranspiration, 30 percent was recharged to groundwater, 30 percent was surface runoff, and 5 percent was lost to interception. SWB model estimates of groundwater recharge were 17 percent less than estimates of base flow from hydrograph separation. Groundwater pumpage in the basin was estimated at 1 percent of groundwater recharge estimated by SWB and 0.8 percent of base flow estimated by hydrograph separation. These estimates form a baseline for understanding future changes to components of water use and may be used to inform numerical groundwater models to support sustainable management of water resources in the upper Chehalis River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185084","collaboration":"Prepared in cooperation with the City of Centrailia","usgsCitation":"Gendaszek, A.S., and Welch, W.B., 2018, Water budget of the upper Chehalis River Basin, southwestern Washington: U.S. Geological Survey Scientific Investigations Report 2018-5084, 17 p., https://doi.org/10.3133/sir20185084.","productDescription":"v, 17 p.","onlineOnly":"Y","ipdsId":"IP-096130","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":437827,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8K1F","text":"USGS data release","linkHelpText":"Soil Water Balance Model of Upper Chehalis River Basin, Southwestern Washington"},{"id":355593,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5084/coverthb.jpg"},{"id":355594,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5084/sir20185084.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5084"}],"country":"United States","state":"Washington","otherGeospatial":"Chehalis River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.1667,\n              46.8333\n            ],\n            [\n              -122.3333,\n              46.8333\n            ],\n            [\n              -122.3333,\n              46.3333\n            ],\n            [\n              -123.1667,\n              46.3333\n            ],\n            [\n              -123.1667,\n              46.8333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wa@usgs.gov\" data-mce-href=\"mailto:dc_wa@usgs.gov\">Director</a>, <a href=\"https://wa.water.usgs.gov\" target=\"blank\" data-mce-href=\"https://wa.water.usgs.gov\">Washington Water Science Center</a><br> U.S. Geological Survey<br> 934 Broadway, Suite 300<br> Tacoma, Washington 98402</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Description of Study Area<br></li><li>Water Budget<br></li><li>Methods<br></li><li>Water Budget Results<br></li><li>Discussion<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-07-16","noUsgsAuthors":false,"publicationDate":"2018-07-16","publicationStatus":"PW","scienceBaseUri":"5b6fc415e4b0f5d57878e9cf","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welch, Wendy B. 0000-0003-2724-0808 wwelch@usgs.gov","orcid":"https://orcid.org/0000-0003-2724-0808","contributorId":140515,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":738896,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198125,"text":"70198125 - 2018 - Outburst floods provide erodability estimates consistent with long-term landscape evolution","interactions":[],"lastModifiedDate":"2018-07-17T09:56:50","indexId":"70198125","displayToPublicDate":"2018-07-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Outburst floods provide erodability estimates consistent with long-term landscape evolution","docAbstract":"<p><span>Most current models for the landscape evolution over geological timescales are based on semi-empirical laws that consider riverbed incision proportional to rock erodability (dependent on lithology) and to the work performed by water flow (stream power). However, the erodability values obtained from these models are entangled with poorly known conditions of past climate and streamflow. Here we use the erosion reported for 82 outburst floods triggered by overtopping lakes as a way to estimate the outlet erodability. This avoids the common assumptions regarding past hydrology because water discharge from overtopping floods is often well constrained from geomorphological evidence along the spillway. This novel methodology yields values of erodability that show a quantitative relation to lithology similar to previous river erosion analyses, expanding the range of hydrological and temporal scales of fluvial incision models and suggesting some consistency between the mathematical formulations of long-term and catastrophic erosional mechanisms. Our results also clarify conditions leading to the runaway erosion responsible for outburst floods triggered by overtopping lakes.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-28981-y","usgsCitation":"Garcia-Castellanos, D., and O'Connor, J., 2018, Outburst floods provide erodability estimates consistent with long-term landscape evolution: Scientific Reports, v. 8, p. 1-9, https://doi.org/10.1038/s41598-018-28981-y.","productDescription":"Article number: 10573; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-098874","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-28981-y","text":"Publisher Index Page"},{"id":355719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc413e4b0f5d57878e9c7","contributors":{"authors":[{"text":"Garcia-Castellanos, Daniel","contributorId":203800,"corporation":false,"usgs":false,"family":"Garcia-Castellanos","given":"Daniel","email":"","affiliations":[{"id":36720,"text":"Instituto de Ciencias de la Tierra Jaume Almera, ICTJA-CSIC, Solé i Sabarís s/n, 08028 Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":740150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":740149,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200628,"text":"70200628 - 2018 - Explicit consideration of preferential groundwater discharges as surface water ecosystem control points","interactions":[],"lastModifiedDate":"2018-10-25T12:28:21","indexId":"70200628","displayToPublicDate":"2018-07-15T12:28:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Explicit consideration of preferential groundwater discharges as surface water ecosystem control points","docAbstract":"<div class=\"t m0 x0 ha y12 ff3 fs7 fc0 sc0 ls1 ws0\">Heterogeneities in sediment and rock permeability induce preferentialgroundwater flow from the scale of pore networks to large basins. Inthe unsaturated zone, preferential flow is frequently conceptualizedas an infiltration process dominated by macropores, resulting in stron-ger delivery of surface‐derived solute than would be predicted via dif-fuse percolation alone (Beven &amp; Germann, 2013). In the saturatedzone, preferential flow occurs in bedrock fractures and karst, alonggeologic contacts and fault zones, and through unconsolidated mate-rials of relatively high connectivity (Winter, Harvey, Franke, &amp; Alley,1998). Focused flow paths emanate on the land surface as preferentialgroundwater discharges, observed throughout stream, lake, wetland,and estuary systems. The prevalence, and perhaps dominance, of spa-tially focused discharges to surface water contrasts with the spatiallydiffuse flow often assumed in various conceptual and predictiveprocess‐based models. This simplification is not made out of anunawareness of preferential groundwater discharge; rather, the abilityto reliably measure focused flow across a range of scales is hamperedby a reliance on (relatively) sparse point measurements. Additionally,realistic distributions of &lt;1‐ to 100‐m‐scale preferential groundwaterdischarges are computationally expensive to simulate at scales rele-vant to decision making. If we accept that preferential discharge ofgroundwater to surface water is an ubiquitous process, fundamentalquestions facing contemporary hydrogeology include (a) When doesspatially focused groundwater discharge matter to the process wewould like to predict? Followed by (b) If we determine when preferen-tial discharge “matters” and should not be simplified to diffuse inflows,how do we measure it at the spatial and temporal scales needed toinform process‐based models?</div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13178","usgsCitation":"Briggs, M.A., and Hare, D.K., 2018, Explicit consideration of preferential groundwater discharges as surface water ecosystem control points: Hydrological Processes, v. 32, no. 15, p. 2435-2440, https://doi.org/10.1002/hyp.13178.","productDescription":"6 p.","startPage":"2435","endPage":"2440","ipdsId":"IP-098374","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488999,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1457824","text":"External Repository"},{"id":358818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"15","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-29","publicationStatus":"PW","scienceBaseUri":"5c10a984e4b034bf6a7e5266","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":749747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hare, Danielle K.","contributorId":76222,"corporation":false,"usgs":true,"family":"Hare","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":749797,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198100,"text":"70198100 - 2018 - Using earthquakes, T waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska","interactions":[],"lastModifiedDate":"2018-08-30T14:56:06","indexId":"70198100","displayToPublicDate":"2018-07-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using earthquakes, <i>T</i> waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska","title":"Using earthquakes, T waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska","docAbstract":"<p><span>The 2016‐2017 eruption of Bogoslof volcano, a submarine stratovolcano in the Bering Sea, produced 70 discrete explosive eruptions over 8 months. With no local monitoring data, activity was seismically recorded on nearby islands 50‐100 km away, limiting the detection and resolution of seismic observations. We construct a matched filter catalog of 3199 events from 49 earthquake families, many of which occurred with hydroacoustic</span><i>T</i><span><span>&nbsp;</span>waves of varying strength. We then use a 2D finite difference model to show that hydroacoustic amplitudes should decrease with increased source depth beneath the edifice and leverage each family's seismically recorded<span>&nbsp;</span></span><i>T</i><span><span>&nbsp;</span>wave amplitude as a proxy for source depth, which we compare to regional infrasound data. This unique combination of using<span>&nbsp;</span></span><i>P</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>S</i><span><span>&nbsp;</span>waves to detect events,<span>&nbsp;</span></span><i>T</i><span><span>&nbsp;</span>waves as a proxy for depth, and infrasound for precise timing of emissions allows us to interpret the dynamics and evolution of the Bogoslof eruption.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL078457","usgsCitation":"Wech, A., Tepp, G., Lyons, J.J., and Haney, M.M., 2018, Using earthquakes, T waves, and infrasound to investigate the eruption of Bogoslof Volcano, Alaska: Geophysical Research Letters, v. 45, no. 14, p. 6918-6925, https://doi.org/10.1029/2018GL078457.","productDescription":"8 p.","startPage":"6918","endPage":"6925","ipdsId":"IP-097523","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":355679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.06129455566406,\n              53.92021282471509\n            ],\n            [\n              -168.01769256591797,\n              53.92021282471509\n            ],\n            [\n              -168.01769256591797,\n              53.95335826795407\n            ],\n            [\n              -168.06129455566406,\n              53.95335826795407\n            ],\n            [\n              -168.06129455566406,\n              53.92021282471509\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-25","publicationStatus":"PW","scienceBaseUri":"5b6fc415e4b0f5d57878e9d1","contributors":{"authors":[{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tepp, Gabrielle 0000-0001-5388-5138","orcid":"https://orcid.org/0000-0001-5388-5138","contributorId":206305,"corporation":false,"usgs":true,"family":"Tepp","given":"Gabrielle","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":740024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740025,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70226629,"text":"70226629 - 2018 - Accurate predictions of microscale oxygen barometry in basaltic glasses using V K-edge X-ray absorption spectroscopy: A multivariate approach","interactions":[],"lastModifiedDate":"2021-12-01T12:43:42.425767","indexId":"70226629","displayToPublicDate":"2018-07-13T06:39:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Accurate predictions of microscale oxygen barometry in basaltic glasses using V K-edge X-ray absorption spectroscopy: A multivariate approach","docAbstract":"<p>Because magmatic oxygen fugacity (<i>f</i><sub>O2</sub>) exerts a primary control on the discrete vanadium (V) valence states that will exist in quenched melts, V valence proxies for<span>&nbsp;</span><i>f</i><sub>O2</sub>, measured using X-ray absorption near-edge spectroscopy (XANES), can provide highly sensitive measurements of the redox conditions in basaltic melts. However, published calibrations for basaltic glasses primarily relate measured intensities of specific spectral features to V valence or oxygen fugacity. These models have not exploited information contained within the entire XANES spectrum, which also provide a measure of changes in V chemical state as a function of<span>&nbsp;</span><i>f</i><sub>O2</sub>. Multivariate analysis (MVA) holds significant promise for the development of calibration models that employ the full XANES spectral range. In this study, new calibration models are developed using MVA partial least-squares (PLS) regression and least absolute shrinkage and selection operator (Lasso) regression to predict the<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>of equilibration in glasses of basaltic composition directly. The models are then tested on a suite of natural glasses from mid-ocean ridge basalts and from Kilauea. The models relate the measured XANES spectral features directly to buffer-relative<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>as the predicted variable, avoiding the need for an external measure of the V valence in the experimental glasses used to train the models. It is also shown that by predicting buffer-relative<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>directly, these models also minimize temperature-relative uncertainties in the calibration. The calibration developed using the Lasso regression model, using a Lasso hyperparameter value of α = 0.0008, yields nickel-nickel oxide (NNO) relative<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>predictions with a root-mean-square-error of ±0.33 log units. When applied to natural basaltic glasses, the V MVA calibration model generally yields predicted NNO-relative<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>values that are within the analytical uncertainty of what is calculated using Fe XANES to predict Fe<sup>3+</sup>/ΣFe. When applied to samples of natural basaltic glass collected in 2014 from an active lava flow at Kilauea, a mean<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>of NNO-1.15 ± 0.19 (1σ) is calculated, which is generally consistent with other published<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>estimates for subaerial Kilauea lavas. When applied to a sample of pillow-rim basaltic glass dredged from the East Pacific Rise, calculated<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>varies from NNO-2.67 (±0.33) to NNO-3.72 (±0.33) with distance from the quenched pillow rim. Fe oxybarometry in this sample provides an<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>of NNO-2.54 ± 0.19 (1σ), which is in good agreement with that provided by the V oxybarometry within the uncertainties of the modeling. However, the data may indicate that V XANES oxybarometry has greater sensitivity to small changes in<span>&nbsp;</span><i>f</i><sub>O2</sub><span>&nbsp;</span>at these more reduced redox conditions than can be detected using Fe XANES.</p>","language":"English","publisher":"De Gruyter","doi":"10.2138/am-2018-6319","usgsCitation":"Lanzirotti, A., Dyar, M., Sutton, S., Newville, M., Head, E., Carey, C., McCanta, M., Lee, R.L., King, P., and Jones, J., 2018, Accurate predictions of microscale oxygen barometry in basaltic glasses using V K-edge X-ray absorption spectroscopy: A multivariate approach: American Mineralogist, v. 103, no. 8, https://doi.org/10.2138/am-2018-6319.","ipdsId":"IP-091620","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":392289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.4174041748047,\n              19.188623199306065\n            ],\n            [\n              -155.05760192871094,\n              19.188623199306065\n            ],\n            [\n              -155.05760192871094,\n              19.484718252643226\n            ],\n            [\n              -155.4174041748047,\n              19.484718252643226\n            ],\n            [\n              -155.4174041748047,\n              19.188623199306065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lanzirotti, Antonio 0000-0002-7597-5924","orcid":"https://orcid.org/0000-0002-7597-5924","contributorId":223780,"corporation":false,"usgs":false,"family":"Lanzirotti","given":"Antonio","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":827539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dyar, M. Darby","contributorId":269611,"corporation":false,"usgs":false,"family":"Dyar","given":"M. Darby","affiliations":[{"id":56007,"text":"Department of Astronomy, Mount Holyoke College, South Hadley, MA 01075, USA","active":true,"usgs":false}],"preferred":false,"id":827540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, Steve","contributorId":269612,"corporation":false,"usgs":false,"family":"Sutton","given":"Steve","email":"","affiliations":[{"id":56009,"text":"Center for Advanced Radiation Sources, The University of Chicago, Argonne, IL 60439, USA","active":true,"usgs":false}],"preferred":false,"id":827541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newville, Matthew","contributorId":269613,"corporation":false,"usgs":false,"family":"Newville","given":"Matthew","affiliations":[{"id":56009,"text":"Center for Advanced Radiation Sources, The University of Chicago, Argonne, IL 60439, USA","active":true,"usgs":false}],"preferred":false,"id":827542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Head, Elisabet","contributorId":269614,"corporation":false,"usgs":false,"family":"Head","given":"Elisabet","affiliations":[{"id":56010,"text":"Department of Earth Science, Northeastern Illinois University, Chicago, IL 60625, USA","active":true,"usgs":false}],"preferred":false,"id":827543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carey, CJ","contributorId":269615,"corporation":false,"usgs":false,"family":"Carey","given":"CJ","email":"","affiliations":[{"id":56011,"text":"College of Information and Computer Sciences, University of Massachusetts, Amherst, MA 01003, USA","active":true,"usgs":false}],"preferred":false,"id":827544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCanta, Molly","contributorId":269616,"corporation":false,"usgs":false,"family":"McCanta","given":"Molly","affiliations":[{"id":56012,"text":"Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN 37996, USA","active":true,"usgs":false}],"preferred":false,"id":827545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":827546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Penelope L.","contributorId":269617,"corporation":false,"usgs":false,"family":"King","given":"Penelope L.","affiliations":[{"id":56013,"text":"Research School of Earth Sciences, Australian National University, Canberra, ACT 2601, Australia","active":true,"usgs":false}],"preferred":false,"id":827547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, John","contributorId":269618,"corporation":false,"usgs":false,"family":"Jones","given":"John","affiliations":[{"id":56014,"text":"National Aeronautics and Space Administration/Johnson Space Center, Houston, TX 77058, USA","active":true,"usgs":false}],"preferred":false,"id":827548,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70198093,"text":"70198093 - 2018 - Icebergs in the Nordic Seas throughout the Late Pliocene","interactions":[],"lastModifiedDate":"2018-07-16T10:46:19","indexId":"70198093","displayToPublicDate":"2018-07-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Icebergs in the Nordic Seas throughout the Late Pliocene","docAbstract":"The Arctic cryosphere is changing and making a significant contribution to sea level rise. The Late Pliocene had similar CO2 levels to the present and a warming comparable to model predictions for the end of this century. However, the state of the Arctic cryosphere during the Pliocene remains poorly constrained. For the first time we combine outputs from a climate model with a thermodynamic iceberg model to simulate likely source regions for ice‐rafted debris (IRD) found in the Nordic Seas from Marine Isotope Stage M2 to the mid‐Piacenzian Warm Period and what this implies about the nature of the Arctic cryosphere at this time. We compare the fraction of melt given by the model scenarios with IRD data from four Ocean Drilling Program sites in the Nordic Seas. Sites 911A, 909C, and 907A show a persistent occurrence of IRD that model results suggest is consistent with permanent ice on Svalbard. Our results indicate that icebergs sourced from the east coast of Greenland do not reach the Nordic Seas sites during the warm Late Pliocene but instead travel south into the North Atlantic. In conclusion, we suggest a continuous occurrence of marine‐terminating glaciers on Svalbard and on East Greenland (due to the elevation of the East Greenland Mountains during the Late Pliocene). The study has highlighted the usefulness of coupled climate model‐iceberg trajectory modeling for understanding ice sheet behavior when proximal geological records for Pliocene ice presence or absence are absent or are inconclusive.","language":"English","publisher":"AGU","doi":"10.1002/2017PA003240","usgsCitation":"Smith, Y.M., Hill, D., Dolan, A.M., Haywood, A.M., Dowsett, H.J., and Risebrobakken, B., 2018, Icebergs in the Nordic Seas throughout the Late Pliocene: Paleoceanography, v. 33, no. 3, p. 318-335, https://doi.org/10.1002/2017PA003240.","productDescription":"18 p.","startPage":"318","endPage":"335","ipdsId":"IP-091705","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":468590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017pa003240","text":"Publisher Index Page"},{"id":355676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-30","publicationStatus":"PW","scienceBaseUri":"5b6fc416e4b0f5d57878e9d5","contributors":{"authors":[{"text":"Smith, Yvonne M.","contributorId":206285,"corporation":false,"usgs":false,"family":"Smith","given":"Yvonne","email":"","middleInitial":"M.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Daniel","contributorId":206286,"corporation":false,"usgs":false,"family":"Hill","given":"Daniel","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolan, Aisling M","contributorId":206287,"corporation":false,"usgs":false,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haywood, Alan M","contributorId":206288,"corporation":false,"usgs":false,"family":"Haywood","given":"Alan","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":739983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":739979,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Risebrobakken, Bjorg","contributorId":206289,"corporation":false,"usgs":false,"family":"Risebrobakken","given":"Bjorg","email":"","affiliations":[{"id":37301,"text":"Bjerknes Centre for Climate Research, University of Norway","active":true,"usgs":false}],"preferred":false,"id":739984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202307,"text":"70202307 - 2018 - Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry","interactions":[],"lastModifiedDate":"2019-02-21T12:57:44","indexId":"70202307","displayToPublicDate":"2018-07-12T12:57:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry","docAbstract":"<p><span>Timely assessment of coastal landforms and structures after storms is important for evaluating storm impacts, aiding emergency response and restoration, and initializing and assessing morphological models. Four-dimensional multiview photogrammetry, also known as structure from motion (4D SfM), provides a method for generating three-dimensional reconstructions of landscapes at two times (before and after events) using only photos and existing information for ground control points. Here, these techniques were applied using National Oceanic and Atmospheric Administration (NOAA)-obtained oblique aerial photos taken before (2015) and immediately after Hurricane Matthew (2016) to assess coastal changes near Matanzas, Florida. This work demonstrated that 3D digital elevation models can be constructed within 48 hours of postevent photo collection without on-site ground control measurements. One advantage of timely SfM elevation-change assessments is that they avoid confusion of storm impacts with changes that occur after the event but before LIDAR surveys can be performed. The accuracy and precision of the 4D SfM maps were assessed&nbsp;</span><i>a posteriori</i><span>&nbsp;using the first-available LIDAR data, which were collected more than a month after the hurricane, and 11 independent ground-truth survey points measured a week after the hurricane. Horizontal coordinates of the 4D SfM reconstruction were biased by an average of 0.79 m (0.83 m root-mean-square difference; RMSD) compared with the ground-truth points, but vertical elevations were more accurate. They were biased from the LIDAR by −0.09 to −0.25 m, with ∼0.20 m RMSD from both the LIDAR data and five ground-truth points with good vertical positioning and 0.25 m RMSD from LIDAR data along a 60-m stretch of pavement. This level of precision was sufficient to quantify geomorphological change that was often in excess of 1 m. The methodology is conducive for rapid assessment of changes along short stretches (tens of kilometers) of coast with modest resources and could be scaled up for larger regions.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-18-00016.1","usgsCitation":"Sherwood, C.R., Warrick, J.A., Hill, A.D., Ritchie, A.C., Andrews, B.D., and Plant, N.G., 2018, Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry: Journal of Coastal Research, v. 34, no. 6, p. 1303-1316, https://doi.org/10.2112/JCOASTRES-D-18-00016.1.","productDescription":"14 p.","startPage":"1303","endPage":"1316","ipdsId":"IP-094558","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2112/jcoastres-d-18-00016.1","text":"Publisher Index Page"},{"id":361409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.23505592346191,\n              29.655164600486\n            ],\n            [\n              -81.20484352111816,\n              29.655164600486\n            ],\n            [\n              -81.20484352111816,\n              29.70676659773517\n            ],\n            [\n              -81.23505592346191,\n              29.70676659773517\n            ],\n            [\n              -81.23505592346191,\n              29.655164600486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Andrew D.","contributorId":213440,"corporation":false,"usgs":false,"family":"Hill","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":757730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. 0000-0002-5906-1014 aritchie@usgs.gov","orcid":"https://orcid.org/0000-0002-5906-1014","contributorId":213438,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":757729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198361,"text":"70198361 - 2018 - Breaching of strike-slip faults and successive flooding of pull-apart basins to form the Gulf of California seaway from ca. 8–6 Ma","interactions":[],"lastModifiedDate":"2018-08-02T11:25:09","indexId":"70198361","displayToPublicDate":"2018-07-12T11:25:03","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Breaching of strike-slip faults and successive flooding of pull-apart basins to form the Gulf of California seaway from ca. 8–6 Ma","docAbstract":"<p><span>The geologic record of the formation of marine basins during continental rifting is uncommonly preserved. Using GIS-based paleotectonic maps, we show that marine basin formation in the Gulf of California–Salton trough oblique rift (Mexico and the United States) occurred in a stepwise manner as crustal thinning lowered elevations within the Gulf of California Shear Zone, and subsidence along strike-slip and transtensional faults linked isolated pull-apart basins. At 8 Ma, the earliest marine conditions in the Gulf of California were restricted to an embayment at its southern mouth. Farther north, the plate boundary was a set of continental strike-slip faults and linked pull-apart basins, similar to the modern Walker Lane in Nevada and California. By ca. 7 Ma, a series of marine incursions breached across strike-slip faults to the Pescadero and Farallon basins. Marine waters then breached a 75–100 km-long transtensional fault zone between the Farallon and Guaymas basins, with intermittent flooding that led to accumulation of extensive evaporite deposits in the Guaymas basin. Marine incursion north of the Guaymas basin via breaches across the Guaymas and Tiburón strike-slip faults and transtensional zones resulted in flooding of the northern &gt;500 km of the oblique rift by 6.5–6.3 Ma. Thus, strike-slip and transtensional faulting promoted localization of plate boundary strain and guided punctuated marine flooding of the Gulf of California seaway. Inception of the narrow, 1500-km-long Gulf of California at ca. 6.3 Ma was followed by complete continental rupture in the Guaymas basin at ca. 6.0 Ma.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G40242.1","usgsCitation":"Umhoefer, P.J., Darin, M.H., Bennett, S.E., Skinner, L.A., Dorsey, R.J., and Oskin, M.E., 2018, Breaching of strike-slip faults and successive flooding of pull-apart basins to form the Gulf of California seaway from ca. 8–6 Ma: Geology, v. 46, no. 8, p. 695-698, https://doi.org/10.1130/G40242.1.","productDescription":"4 p.","startPage":"695","endPage":"698","ipdsId":"IP-095497","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g40242.1","text":"Publisher Index Page"},{"id":356107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc417e4b0f5d57878e9db","contributors":{"authors":[{"text":"Umhoefer, Paul J.","contributorId":200335,"corporation":false,"usgs":false,"family":"Umhoefer","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darin, Michael H.","contributorId":200333,"corporation":false,"usgs":false,"family":"Darin","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":741255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, Lisa A.","contributorId":200334,"corporation":false,"usgs":false,"family":"Skinner","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":741257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":741256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741258,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197297,"text":"sir20185043 - 2018 - Flood-inundation maps for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island","interactions":[],"lastModifiedDate":"2018-07-13T11:46:00","indexId":"sir20185043","displayToPublicDate":"2018-07-12T08:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5043","title":"Flood-inundation maps for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island","docAbstract":"<p>A series of 15 digital flood-inundation maps was developed for a 10.2-mile reach of the Pawtuxet River in the municipalities of West Warwick, Warwick, and Cranston, Rhode Island, by the U.S. Geological Survey (USGS), in cooperation with the Rhode Island Emergency Management Agency and the U.S. Army Corps of Engineers. The coverage of the maps extends downstream from Natick Pond dam near State Route 33/Providence Street bridge in West Warwick to the mouth of the river at Pawtuxet Cove (Broad Street bridge) on the border between Cranston and Warwick, R.I. A one-dimensional step-backwater hydraulic model created and calibrated for the Federal Emergency Management Agency Flood Insurance Studies for Kent and Providence Counties in 2015 was updated for this study. The updated hydraulic model reflects the removal of the Pawtuxet Falls dam during 2011 and the raised elevation of a levee surrounding the Warwick Sewer Authority wastewater treatment facility during 2014–17. The hydraulic model was calibrated by using the current (2018) stage-discharge relation at the USGS Pawtuxet River at Cranston, Rhode Island, streamgage (01116500) and documented high-water marks from the March 31, 2010, flood, which had a peak flow greater than the estimated 0.2-percent annual exceedance probability floodflow.</p><p>The hydraulic model was used to compute water-surface profiles for 15 flood stages at 1-foot (ft) intervals referenced to the USGS Pawtuxet River at Cranston, Rhode Island, streamgage (01116500) and ranging from 8.0 ft (15.2 ft, North American Vertical Datum of 1988), which is the National Weather Service Advanced Hydrologic Prediction Service flood category “action stage,” to 22.0 ft (29.2 ft, North American Vertical Datum of 1988), which is the maximum stage of the stage-discharge relation at the streamgage and exceeds the National Weather Service Advanced Hydrologic Prediction Service flood category “major flood stage” of 13.0 ft. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data with a 1.0-ft vertical accuracy to create flood-inundation maps. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to 15 selected flood stages at the streamgage. The flood-inundation maps depict only riverine flooding and do not depict any tidal backwater or coastal storm surge that might occur in the lower part of the river reach. The flood-inundation maps can be accessed through the USGS Flood Inundation Mapping Science website at <a href=\"https://water.usgs.gov/osw/flood_inundation\" data-mce-href=\"https://water.usgs.gov/osw/flood_inundation\">https://water.usgs.gov/osw/flood_inundation</a>. Near-real-time stages and discharges at the Pawtuxet River streamgage can be obtained from the USGS National Water Information System at <a href=\"https://waterdata.usgs.gov/\" data-mce-href=\"https://waterdata.usgs.gov/\">https://waterdata.usgs.gov/</a>. The National Weather Service Advanced Hydrologic Prediction Service provides flood forecasts of stage for this site (CRAR1) at <a href=\"https://water.weather.gov/ahps/\" data-mce-href=\"https://water.weather.gov/ahps/\">https:/water.weather.gov/ahps/</a>.</p><p>The availability of flood-inundation maps referenced to current and forecasted water levels at the USGS Pawtuxet River at Cranston, Rhode Island, streamgage (01116500) can provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, and postflood recovery efforts. The flood-inundation maps are nonregulatory but provide Federal, State, and local agencies and the public with estimates of the potential extent of flooding during flood events.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185043","collaboration":"Prepared in cooperation with the Rhode Island Emergency Management Agency and the U.S. Army Corps of Engineers","usgsCitation":"Bent, G.C., and Lombard, P.J., 2018, Flood-inundation maps for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2018–5043, 16 p., https://doi.org/10.3133/sir20185043.","productDescription":"Report: vii, 16 p.; Application; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090311","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":355600,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5043/sir20185043.pdf","text":"Report","size":"1.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5043"},{"id":355601,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78C9V6B","text":"USGS data release","description":"USGS data release","linkHelpText":"Flood-inundation Grids and Shapefiles for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island"},{"id":355602,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://wimcloud.usgs.gov/apps/FIM/FloodInundationMapper.html","linkHelpText":"- Flood Inundation Mapper"},{"id":355599,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5043/coverthb.jpg"}],"country":"United States","state":"Rhode Island","city":"Cranston, Warwick, West Warwick","otherGeospatial":"Pawtuxet River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.630859375,\n              41.572306568724365\n            ],\n            [\n              -71.27105712890625,\n              41.572306568724365\n            ],\n            [\n              -71.27105712890625,\n              41.912497421968425\n            ],\n            [\n              -71.630859375,\n              41.912497421968425\n            ],\n            [\n              -71.630859375,\n              41.572306568724365\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://newengland.water.usgs.gov\" data-mce-href=\"https://newengland.water.usgs.gov\">New England Water Science Center</a><br> U.S. Geological Survey <br> 10 Bearfoot Road <br> Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Creation of Flood-Inundation Map Library</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-07-12","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc418e4b0f5d57878e9dd","contributors":{"authors":[{"text":"Bent, Gardner C. 0000-0002-5085-3146","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":205226,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":205225,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216332,"text":"70216332 - 2018 - Limited nitrate retention capacity in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2020-11-12T14:19:13.634131","indexId":"70216332","displayToPublicDate":"2018-07-12T08:13:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Limited nitrate retention capacity in the Upper Mississippi River","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>The Mississippi River and other large rivers have the potential to regulate nitrogen export from terrestrial landscapes, and thus mitigate eutrophication in downstream aquatic ecosystems. In large rivers, human-constructed impoundments and connected backwaters may facilitate nitrogen removal; however, the capacity of these features is poorly quantified and incompletely incorporated into model frameworks. Using a high-resolution and spatially intensive sampling technique, we assessed the contribution of individual navigation pools, as well as impounded open waters and backwater wetlands within them, to overall nitrate retention by mapping the entire length (1370 km) of the Upper Mississippi River (UMR) main channel. Based on this single spatial survey of water chemistry, the river appeared to act primarily as a passive nitrate transporter, retaining only 12.5% of the incoming load, most of which occurred in the upper 150 km of the river, which includes the largest and only naturally impounded reach of the river. Although reservoirs typically are nitrogen sinks, our data indicate that UMR dams do not impede river flows to the extent necessary to promote substantial changes in water residence times and subsequent nitrogen removal. Backwaters routinely had lower nitrate concentrations than the main channel, but their limited hydrologic connectivity to the through-flowing river channel constrained their influence on downstream export. As a whole, the UMR did not remove a substantial proportion of its nitrate load despite optimal N removal conditions, numerous impoundments, and the presence of extensive backwater habitats. These results suggest that efforts to reduce delivery of nitrogen to the Gulf of Mexico should emphasize mitigation strategies that target upland nutrient sources rather than relying on removal within the Mississippi River.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/aacd51","usgsCitation":"Loken, L.C., Crawford, J.T., Dornblaser, M.M., Striegl, R.G., Houser, J.N., Turner, P.A., and Stanley, E.H., 2018, Limited nitrate retention capacity in the Upper Mississippi River: Environmental Research Letters, v. 13, no. 7, 14 p., https://doi.org/10.1088/1748-9326/aacd51.","productDescription":"14 p.","ipdsId":"IP-099033","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":468593,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aacd51","text":"Publisher Index Page"},{"id":380447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.0869140625,\n              45.82879925192134\n            ],\n            [\n              -94.2626953125,\n              45.36758436884978\n            ],\n            [\n              -92.8564453125,\n              44.5278427984555\n            ],\n            [\n              -92.4169921875,\n              43.96119063892024\n            ],\n            [\n              -91.58203125,\n              43.100982876188546\n            ],\n            [\n              -91.0546875,\n              42.293564192170095\n            ],\n            [\n              -91.318359375,\n              41.672911819602085\n            ],\n            [\n              -92.10937499999999,\n              40.81380923056958\n            ],\n            [\n              -92.10937499999999,\n              40.17887331434696\n            ],\n            [\n              -91.4501953125,\n              39.13006024213511\n            ],\n            [\n              -90.966796875,\n              38.685509760012\n            ],\n            [\n              -90.966796875,\n              38.30718056188316\n            ],\n            [\n              -90.3076171875,\n              37.64903402157866\n            ],\n            [\n              -89.384765625,\n              37.020098201368114\n            ],\n            [\n              -89.20898437499999,\n              36.80928470205937\n            ],\n            [\n              -89.033203125,\n              37.33522435930639\n            ],\n            [\n              -89.912109375,\n              39.13006024213511\n            ],\n            [\n              -91.14257812499999,\n              39.9434364619742\n            ],\n            [\n              -90.65917968749999,\n              41.07935114946899\n            ],\n            [\n              -89.9560546875,\n              42.4234565179383\n            ],\n            [\n              -90.65917968749999,\n              43.644025847699496\n            ],\n            [\n              -91.8896484375,\n              45.120052841530544\n            ],\n            [\n              -94.0869140625,\n              45.82879925192134\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"7","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":804722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":804723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":804724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":804725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Peter A 0000-0003-0839-1408","orcid":"https://orcid.org/0000-0003-0839-1408","contributorId":244831,"corporation":false,"usgs":false,"family":"Turner","given":"Peter","email":"","middleInitial":"A","affiliations":[{"id":37643,"text":"University of Minnesota-Twin Cities","active":true,"usgs":false}],"preferred":false,"id":804726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":804727,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196300,"text":"ofr20181058 - 2018 - A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset High Resolution Flowlines","interactions":[],"lastModifiedDate":"2018-07-16T13:14:50","indexId":"ofr20181058","displayToPublicDate":"2018-07-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1058","title":"A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset High Resolution Flowlines","docAbstract":"<p>Bathymetric and topobathymetric light detection and ranging (lidar) digital elevation models created for the Delaware River were provided to the National Geospatial Program and used to evaluate synthetic flowpath extraction from bathymetric/topobathymetric lidar survey data as a data source for improving the density, distribution, and connectivity of the National Hydrography Dataset High Resolution Flowline Network. As the surface-water component of The National Map, the National Hydrography Dataset maintains the Nation’s drainage network flow information and geometries for surface-water features used in hydrologic, hydraulic, and other science and engineering disciplines. The regional lidar survey for the Delaware River between Hancock, New York, and Trenton, New Jersey, was collected for the U.S. Geological Survey using the Experimental Advanced Airborne Research Lidar sensor system and processed by the Coastal National Elevation Database Applications Program.</p><p>Using 1 percent of the maximum flow accumulation value for the surveyed Delaware River corridor as the flow accumulation threshold for grid cells at 1-, 5-, and 10-meter resolution created 223 to 283 kilometers of synthetic flowpaths potentially representing the river channel thalweg, which is the deepest point in a riverbed cross-section. There was potential for improving the High Resolution National Hydrography Dataset (HR NHD) Flowline network in places where the Delaware River channel, depicted as an Artificial Path in the HR NHD, is offset from the extracted synthetic river flowpath which sometimes appeared better positioned than the Artificial Path to represent the river thalweg. For the same area, using 0.05 percent of the maximum flow accumulation at the 1-, 5-, and 10-meter resolutions extracted 744 to 1,317 kilometers of synthetic flowpaths, with extracted synthetic flowpaths representing the main river channel and additional synthetic flowpaths representing tributaries or streams adjacent to the main channel. Overlaying these results with the HR NHDFlowline Network indicates that some of the additional synthetic flowpaths are connected to or extend HR NHD stream/river feature types. Some disconnected or isolated synthetic flowpaths&nbsp;not included in stream/river feature types were validated in orthoimagery and U.S. Topo Maps and provide examples of how extracted synthetic flowpaths could be used to delineate new stream/river features. Other additional extracted synthetic flowpaths depict linear features such as canals, tree lines, roads, or linear topographic depressions.</p><p>For some river reaches where obstructions to flow or where low-relief topographic or bathymetric surfaces alter the flow direction, the software tool used to develop the flow direction grid did not calculate a primary flowpath for the river channel. Based on the results of this analysis, site conditions for the Delaware River corridor did not affect the quality of lidar bathymetric survey data. However, depending on the resolution of the lidar bathymetric digital elevation models (BDEMs), site conditions do have different effects on results for extracted synthetic flowpaths. We found that synthetic flowpaths extracted from 1-meter resolution lidar DEMs had more varied flow directions around in-channel landforms that obstructed flow than synthetic flowpaths extracted from 5- or 10-meter resolution lidar DEMs. As a result the 1-meter resolution DEM created some isolated or discontinuous synthetic flowpath segments where the 5- and 10-meter DEMs developed more continuous flowpaths. In this case the river bed upstream from the in-channel obstruction is shallower than the river bed downstream. Under these conditions the 1-meter resolution DEM provided synthetic flowpaths delineating a potential river thalweg. In this same area, the software solution modified (virtually raised) the river bed in the 5- and 10-meter resolution DEMs and flattened the bathymetric surface to create a continuous downstream flow direction, which caused trellis-patterned synthetic flowpaths to form. Under different site conditions and converse to the above development of synthetic flowpaths at different resolutions, at an abandoned river flood plain (terrace) with low relief that is adjacent to the river channel, the flow direction grid for the 1-meter resolution DEM developed continuous synthetic flowpath corresponding to a HR NHD Flowline network stream/river feature that connected to the main river channel but the larger resolution DEMs created isolated or disconnected synthetic flowpaths.</p><p>A project to continue an evaluation of benefits of or issues caused by extracting synthetic flowpaths to enhance&nbsp;the HR NHD could include a study to assess the potential for merging surface-water flowpaths extracted from lidar topobathymetry and 3D Elevation Program digital elevation models. The merged DEM approach to synthetic flowpath extraction could extend the HR NHDFlowline network and enhance flow accumulations that might develop better flow direction grids in low-relief areas. Because of the confined lateral extent of the Delaware River, the lidar DEMs were not used to create catchments or watersheds; however, the merged DEM approach could also be tested as a resource for enhancing HR NHD catchments and watersheds.</p><p>This lidar DEM synthetic flowpath extraction project supports the National Geospatial Program efforts to collect and produce high-quality lidar data to provide 3-dimensional representations of natural feature and aligns with the National Spatial Data Infrastructure to improve utilization of geospatial data. The results also can be useful for understanding strategies that can help maintain quality data in the HR NHD programs.</p><p>KEYWORDS: bathymetric, digital elevation model, extracted synthetic flowpath, lidar, High Resolution National Hydrography Dataset, topobathymetric</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181058","usgsCitation":"Miller-Corbett, C., 2018, A comparison of synthetic flowpaths derived from light detection and ranging topobathymetric data and National Hydrography Dataset high resolution flowlines: U.S. Geological Survey Open-File Report 2018–1058, 29 p., https://doi.org/10.3133/ofr20181058.","productDescription":"vii, 29 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-079961","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":355596,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1058/ofr20181058.pdf","text":"Report","size":"4.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1058"},{"id":355595,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1058/coverthb.jpg"}],"country":"United States","state":"New Jersey","city":"Hancock Narrows, Middle River, Trenton","otherGeospatial":"Delaware River","contact":"<p>Director, <a href=\"https://ngtoc.usgs.gov\" data-mce-href=\"https://ngtoc.usgs.gov\">National Geospatial Technical Operations Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Experimental Advanced Airborne Research Lidar Sensor<br></li><li>Delaware River Survey Site Conditions<br></li><li>Lidar Bathymetric and Topobathymetric Data<br></li><li>Method for Developing Synthetic Flowpaths<br></li><li>Comparison of Synthetic Flowpaths and National Hydrography Dataset High Resolution Flowlines<br></li><li>Discussion<br></li><li>Summary<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-07-12","noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b6fc418e4b0f5d57878e9df","contributors":{"authors":[{"text":"Miller-Corbett, Cynthia 0000-0002-9740-2502 cmcorbet@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-2502","contributorId":203758,"corporation":false,"usgs":true,"family":"Miller-Corbett","given":"Cynthia","email":"cmcorbet@usgs.gov","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":732234,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198053,"text":"70198053 - 2018 - An update on Toxoplasma gondii infections in northern sea otters (Enhydra lutris kenyoni) from Washington State, USA","interactions":[],"lastModifiedDate":"2018-07-12T22:20:58","indexId":"70198053","displayToPublicDate":"2018-07-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3686,"text":"Veterinary Parasitology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An update on Toxoplasma gondii infections in northern sea otters <i>(Enhydra lutris kenyoni) </i> from Washington State, USA","title":"An update on Toxoplasma gondii infections in northern sea otters (Enhydra lutris kenyoni) from Washington State, USA","docAbstract":"<p>Toxoplasmosis in marine mammals is epidemiologically and clinically important. <i>Toxoplasma gondii</i> antibodies (by modified agglutination test, cut-off ≥1:25) were detected in serum of 65 of 70 (92.9%) northern sea otters (<i>Enhydra lutris kenyoni</i>) from Washington State, USA. Brains and/or muscles of 44 sea otters were bioassayed in mice (INF-γ knock-out [KO], Swiss Webster outbred [SW]) and viable <i>T. gondii</i> was isolated from 22 of 44 (50%); <i>T. gondii</i> strains were lethal to KO mice but not SW mice. These <i>T. gondii</i> isolates were further propagated in cell culture. Multi-locus PCR-RFLP genotyping of cell culture-derived tachyzoites revealed four different genotypes among 22 isolates including ToxoDB PCR-RFLP genotype #5 (14 isolates), #1 (three isolates), #3 (four isolates), and #167 (one isolate). PCR-DNA sequencing based genotyping using polymorphic gene GRA6 revealed one of four different alleles. Among the 14 RFLP genotype #5 strains, 10 have GRA6 sequences that match with the Type A, one match with the Type X, two strains did not generate sequence data, and one strain had double peaks at known polymorphic sites indicating a mixed infection. The seven strains belong to genotypes #1 and #3, all have identical sequences to <i>T. gondii</i> Type II reference isolate ME49. Genotype #167 strain has identical sequence to Type I reference strain. In summary, we observed high seroprevalence, and high rate of isolation of <i>T. gondii</i> from northern sea otters and predominant genotype #5 that has been previously reported a dominant and widespread strain among terrestrial wildlife in North America. GRA6 sequence analysis of the genotype #5 isolates indicated the dominance of Type A lineage in sea otters in Washington State.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.1016/j.vetpar.2018.05.011","usgsCitation":"Verma, S.K., Knowles, S., Cerqueira-Cezar, C.K., Kwok, O.C., Jiang, T., Su, C., and Dubey, J.P., 2018, An update on Toxoplasma gondii infections in northern sea otters (Enhydra lutris kenyoni) from Washington State, USA: Veterinary Parasitology, v. 258, p. 133-137, https://doi.org/10.1016/j.vetpar.2018.05.011.","productDescription":"5 p.","startPage":"133","endPage":"137","ipdsId":"IP-095836","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":355625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","volume":"258","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e538e4b060350a15d049","contributors":{"authors":[{"text":"Verma, Shiv K.","contributorId":167589,"corporation":false,"usgs":false,"family":"Verma","given":"Shiv","email":"","middleInitial":"K.","affiliations":[{"id":24764,"text":"US Department of Agriculture, Agricultural Research Service, Animal Parasitic Diseases Laboratory, Beltsville, MD, 20705-2350","active":true,"usgs":false}],"preferred":false,"id":739790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":739788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cerqueira-Cezar, Camila K.","contributorId":206207,"corporation":false,"usgs":false,"family":"Cerqueira-Cezar","given":"Camila","email":"","middleInitial":"K.","affiliations":[{"id":37284,"text":"United States Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Building 1001, Beltsville, MD, 20705-2350, USA","active":true,"usgs":false}],"preferred":false,"id":739791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kwok, Oliver C.","contributorId":167593,"corporation":false,"usgs":false,"family":"Kwok","given":"Oliver","email":"","middleInitial":"C.","affiliations":[{"id":24764,"text":"US Department of Agriculture, Agricultural Research Service, Animal Parasitic Diseases Laboratory, Beltsville, MD, 20705-2350","active":true,"usgs":false}],"preferred":false,"id":739792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jiang, Tiantian","contributorId":206208,"corporation":false,"usgs":false,"family":"Jiang","given":"Tiantian","email":"","affiliations":[{"id":37286,"text":"16\tDepartment of Microbiology, University of Tennessee, Knoxville, TN 37996-0845,","active":true,"usgs":false}],"preferred":false,"id":739793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Su, Chunlei","contributorId":167590,"corporation":false,"usgs":false,"family":"Su","given":"Chunlei","email":"","affiliations":[{"id":24765,"text":"University of Tennessee, Department of Microbiology, Knoxville, TN 37996-0845","active":true,"usgs":false}],"preferred":false,"id":739794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dubey, Jitender P.","contributorId":206206,"corporation":false,"usgs":false,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P.","affiliations":[{"id":37284,"text":"United States Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Center, Animal Parasitic Diseases Laboratory, Building 1001, Beltsville, MD, 20705-2350, USA","active":true,"usgs":false}],"preferred":false,"id":739789,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205251,"text":"70205251 - 2018 - Reestablishing a host–affiliate relationship: Migratory fish reintroduction increases native mussel recruitment","interactions":[],"lastModifiedDate":"2019-09-13T09:58:58","indexId":"70205251","displayToPublicDate":"2018-07-10T11:10:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Reestablishing a host–affiliate relationship: Migratory fish reintroduction increases native mussel recruitment","docAbstract":"<div id=\"pb-page-content\" data-ng-non-bindable=\"\"><div data-pb-dropzone=\"main\" data-pb-dropzone-name=\"Main\"><div class=\"pageBody hub-page-body body-text\" data-widget-def=\"pageBody\" data-widget-id=\"72100436-7a82-49fc-933b-c6c9d8c42914\"><div class=\"page-body pagefulltext\"><div data-pb-dropzone=\"main\"><div class=\"container\"><div class=\"row\"><div class=\" col-md-12\"><div><div class=\"row article-row\"><div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Co‐extirpation among host–affiliate species is thought to be a leading cause of biodiversity loss worldwide. Freshwater mussels (Unionida) are at risk globally and face many threats to survival, including limited access to viable host fish required to complete their life history. We examine the relationship between the common eastern elliptio mussel (<i>Elliptio complanata</i>) and its migratory host fish the American eel (<i>Anguilla rostrata</i>), whose distribution in the Chesapeake Bay watershed is limited, in part, by dams. We examined population demographics of <i>E. complanata</i> across locations in the Chesapeake Bay watershed, primarily in the Susquehanna River in the absence of American eels, and conducted experimental restocking of eels to assess potential impacts on mussel recruitment. Compared to surveys completed ~20&nbsp;yr prior, <i>E. complanata</i> could be experiencing declines at several historically abundant sites. These sites also had extremely limited evidence of recruitment. Restoration of host fish improved recruitment, but results were not equivalent between stocking sites, indicating that host reintroduction alone may not be fully effective in reestablishing mussel populations. One site where eels were introduced (Pine Creek, Tioga County, Pennsylvania, USA) experienced an increase from 0 juveniles found during quantitative surveys prior to eel stocking to 151 (21% of individuals collected during quantitative surveys) <i>E. complanata</i> juveniles found four years after stocking. A second site (Buffalo Creek, Union County, Pennsylvania) experienced a more moderate increase from 2 to 7 juveniles found during 2010 and 2014 quantitative surveys, respectively. Continued examination of other potential interacting factors affecting recruitment, including water quality or habitat conditions, is necessary to target favorable sites for successful restoration.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1775","usgsCitation":"Galbraith, H.S., Devers, J.L., Blakeslee, C.J., Cole, J.C., St. John White, B., Minkkinen, S., and Lellis, W.A., 2018, Reestablishing a host–affiliate relationship: Migratory fish reintroduction increases native mussel recruitment: Ecological Applications, v. 28, no. 7, p. 1841-1852, https://doi.org/10.1002/eap.1775.","productDescription":"12 p.","startPage":"1841","endPage":"1852","ipdsId":"IP-090648","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":367318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania","otherGeospatial":"Buffalo Creek, Pine Creek, Susquehanna River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-76.048373,38.12055],[-76.063661,38.126078],[-76.090872,38.11446],[-76.095548,38.125123],[-76.088639,38.192649],[-76.07147,38.203502],[-76.046539,38.201549],[-76.02217,38.177882],[-76.034038,38.157902],[-76.015155,38.131548],[-76.011916,38.122214],[-76.021305,38.108608],[-76.008168,38.095385],[-76.005904,38.07717],[-76.0233,38.07076],[-76.05831,38.094906],[-76.03962,38.11199],[-76.048373,38.12055]]],[[[-76.022325,37.953878],[-76.045561,37.953669],[-76.048617,38.014843],[-76.041668,38.032148],[-76.013128,38.039762],[-75.975494,38.020834],[-75.970345,38.008222],[-75.98502,38.001855],[-75.993905,37.953489],[-76.022325,37.953878]]],[[[-77.042045,38.720202],[-77.039498,38.791113],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.146601,38.96421],[-77.221502,38.97131],[-77.249803,38.985909],[-77.255703,39.002409],[-77.244603,39.020109],[-77.248403,39.026909],[-77.293105,39.046508],[-77.340287,39.062991],[-77.458202,39.073723],[-77.481279,39.105658],[-77.524559,39.127821],[-77.527282,39.146236],[-77.510631,39.178484],[-77.478596,39.189168],[-77.45768,39.22502],[-77.484664,39.246123],[-77.540581,39.264947],[-77.560854,39.286152],[-77.566596,39.306121],[-77.615939,39.302722],[-77.677123,39.324077],[-77.727379,39.321666],[-77.761115,39.339757],[-77.74593,39.353221],[-77.753274,39.37832],[-77.735905,39.389665],[-77.740012,39.401694],[-77.75872,39.42681],[-77.803249,39.437136],[-77.78856,39.442829],[-77.796196,39.461722],[-77.777815,39.461924],[-77.797787,39.47876],[-77.765551,39.493025],[-77.781608,39.499067],[-77.80183,39.489395],[-77.845666,39.498628],[-77.829045,39.514425],[-77.827188,39.530458],[-77.839061,39.531117],[-77.840651,39.520941],[-77.860195,39.514325],[-77.864315,39.534813],[-77.888648,39.558054],[-77.83633,39.56637],[-77.829814,39.587288],[-77.838008,39.606125],[-77.885124,39.615775],[-77.881823,39.600039],[-77.888477,39.597343],[-77.923298,39.604852],[-77.94194,39.61879],[-77.936371,39.594508],[-77.946182,39.584814],[-77.957642,39.608614],[-77.984815,39.59942],[-78.009985,39.602893],[-78.035992,39.63572],[-78.097118,39.678161],[-78.182759,39.69511],[-78.201081,39.677866],[-78.233138,39.672875],[-78.223864,39.662607],[-78.254077,39.640089],[-78.263371,39.621675],[-78.351905,39.640486],[-78.358264,39.63966],[-78.353878,39.627722],[-78.380504,39.629359],[-78.372404,39.612297],[-78.378181,39.608178],[-78.43025,39.62329],[-78.425581,39.607599],[-78.395317,39.584215],[-78.408031,39.578593],[-78.443175,39.591155],[-78.457187,39.587379],[-78.454376,39.574319],[-78.420019,39.551745],[-78.459274,39.535919],[-78.468639,39.516789],[-78.521388,39.52479],[-78.565929,39.519444],[-78.597659,39.53505],[-78.675629,39.540371],[-78.72501,39.563973],[-78.733149,39.58369],[-78.756747,39.58069],[-78.778141,39.601364],[-78.733759,39.613931],[-78.748499,39.626262],[-78.777516,39.621712],[-78.76534,39.643987],[-78.775241,39.645687],[-78.801741,39.627488],[-78.795857,39.606934],[-78.809347,39.608063],[-78.824788,39.590233],[-78.816764,39.561691],[-78.838553,39.5673],[-78.851196,39.559924],[-78.874744,39.522611],[-78.891197,39.5189],[-78.916488,39.486544],[-78.942618,39.479614],[-78.955483,39.442277],[-78.965484,39.438455],[-79.017147,39.466977],[-79.028159,39.46506],[-79.046276,39.483801],[-79.054989,39.473096],[-79.098059,39.472073],[-79.104217,39.448358],[-79.132193,39.418275],[-79.149581,39.407767],[-79.159213,39.413021],[-79.16722,39.393256],[-79.195543,39.38779],[-79.213961,39.36532],[-79.25227,39.356663],[-79.253891,39.337222],[-79.282037,39.323048],[-79.290236,39.299323],[-79.33238,39.299919],[-79.35375,39.278039],[-79.387023,39.26554],[-79.43983,39.217074],[-79.476037,39.203728],[-79.486862,39.205959],[-79.476662,39.721078],[-80.519342,39.721403],[-80.519405,41.976158],[-80.329976,42.036168],[-80.188085,42.094257],[-80.154084,42.114757],[-80.136213,42.149937],[-80.117368,42.166341],[-80.077388,42.171262],[-80.071981,42.155357],[-80.078781,42.151457],[-80.06108,42.144857],[-79.931324,42.206737],[-79.761951,42.26986],[-79.761374,41.999067],[-75.359579,41.999445],[-75.341125,41.992772],[-75.34246,41.974303],[-75.312817,41.950182],[-75.293713,41.954593],[-75.279094,41.938917],[-75.267773,41.901971],[-75.271292,41.88736],[-75.257564,41.877108],[-75.260527,41.8638],[-75.243345,41.866875],[-75.22572,41.857481],[-75.204002,41.869867],[-75.186993,41.860109],[-75.170565,41.871608],[-75.161541,41.849836],[-75.118789,41.845819],[-75.113334,41.822782],[-75.072172,41.813732],[-75.07827,41.797467],[-75.101463,41.787941],[-75.10464,41.774203],[-75.064901,41.766686],[-75.053431,41.752538],[-75.049699,41.715093],[-75.068642,41.710146],[-75.052736,41.688393],[-75.058765,41.674412],[-75.04992,41.662556],[-75.044224,41.617978],[-75.074626,41.607905],[-75.018524,41.551802],[-75.024757,41.535099],[-75.00385,41.524052],[-74.999612,41.5074],[-74.987645,41.508738],[-74.983341,41.480894],[-74.917282,41.477041],[-74.890358,41.455324],[-74.896025,41.439987],[-74.888691,41.438259],[-74.858578,41.444427],[-74.830671,41.430503],[-74.805655,41.442101],[-74.795396,41.42398],[-74.784339,41.422397],[-74.736688,41.429228],[-74.738554,41.401191],[-74.713411,41.389814],[-74.689516,41.363843],[-74.720923,41.347384],[-74.753239,41.346122],[-74.771588,41.325079],[-74.79504,41.320407],[-74.792377,41.314088],[-74.830057,41.2872],[-74.861678,41.241575],[-74.860837,41.222317],[-74.882139,41.180836],[-74.923169,41.138146],[-74.979873,41.110423],[-74.991718,41.092284],[-74.969434,41.096074],[-74.968389,41.087797],[-75.01257,41.066281],[-75.02543,41.04071],[-75.130575,40.991093],[-75.13378,40.970973],[-75.122603,40.970152],[-75.050839,40.868067],[-75.064328,40.848338],[-75.097221,40.844672],[-75.083929,40.824471],[-75.108505,40.791094],[-75.139106,40.773606],[-75.169523,40.778473],[-75.196533,40.751631],[-75.182084,40.731522],[-75.20392,40.691498],[-75.19692,40.681299],[-75.177587,40.677731],[-75.200452,40.649219],[-75.188579,40.624628],[-75.201348,40.614628],[-75.192291,40.602676],[-75.194046,40.576256],[-75.168609,40.564111],[-75.141906,40.575273],[-75.117292,40.573211],[-75.068615,40.542223],[-75.062227,40.481391],[-75.070568,40.456348],[-75.056102,40.416066],[-75.028315,40.403883],[-74.996378,40.410528],[-74.969597,40.39977],[-74.942954,40.341643],[-74.868209,40.295207],[-74.842308,40.250508],[-74.77136,40.215399],[-74.721604,40.15381],[-74.740605,40.13521],[-74.782106,40.12081],[-74.819007,40.12751],[-74.859809,40.08491],[-74.944412,40.063211],[-75.007914,40.023111],[-75.047016,40.008912],[-75.072017,39.980612],[-75.12692,39.961112],[-75.13612,39.933912],[-75.12792,39.911813],[-75.145421,39.884213],[-75.189323,39.880713],[-75.243431,39.854597],[-75.341765,39.846082],[-75.415041,39.801786],[-75.463341,39.823812],[-75.518444,39.836311],[-75.634706,39.830164],[-75.716969,39.791998],[-75.753066,39.757631],[-75.773558,39.722411],[-75.788359,39.721811],[-75.693521,38.460128],[-75.053483,38.451274],[-75.054591,38.41483],[-75.073852,38.352006],[-75.087466,38.322769],[-75.102947,38.311525],[-75.204684,38.079317],[-75.241817,38.027802],[-75.624341,37.994211],[-75.633833,37.984519],[-75.628855,37.977798],[-75.641823,37.975967],[-75.647606,37.947027],[-75.655681,37.945435],[-75.671681,37.966576],[-75.708179,37.974972],[-75.735125,37.964592],[-75.783444,37.972565],[-75.832414,37.933313],[-75.881913,37.912563],[-75.895791,37.921406],[-75.890871,37.954847],[-75.898956,37.974514],[-75.875297,38.011965],[-75.87319,38.034375],[-75.847922,38.03437],[-75.812913,38.058932],[-75.839935,38.071314],[-75.874189,38.060288],[-75.880515,38.075011],[-75.865697,38.098036],[-75.837204,38.114468],[-75.827993,38.132803],[-75.843862,38.144599],[-75.866,38.134886],[-75.900355,38.14115],[-75.932738,38.126216],[-75.936663,38.109956],[-75.959496,38.136915],[-75.942375,38.187066],[-75.848473,38.20934],[-75.851396,38.226432],[-75.87031,38.243425],[-75.888513,38.241423],[-75.890669,38.228009],[-75.911143,38.257951],[-75.938577,38.272329],[-75.954483,38.264366],[-75.946414,38.23889],[-75.970514,38.233668],[-75.962235,38.24754],[-76.016291,38.307206],[-75.964237,38.324285],[-75.961948,38.341431],[-75.971541,38.361069],[-76.001839,38.374343],[-76.016682,38.332429],[-76.047992,38.313044],[-76.05022,38.304101],[-76.028234,38.282035],[-76.043927,38.249712],[-76.032044,38.216684],[-76.05801,38.227079],[-76.073493,38.248609],[-76.09972,38.253647],[-76.111296,38.286946],[-76.137238,38.281648],[-76.166154,38.290431],[-76.180115,38.277019],[-76.164388,38.250061],[-76.126623,38.242949],[-76.140068,38.231305],[-76.17335,38.247037],[-76.211446,38.302656],[-76.254473,38.31512],[-76.264186,38.346436],[-76.238452,38.347986],[-76.256788,38.366712],[-76.273003,38.366483],[-76.28302,38.413512],[-76.331383,38.473323],[-76.33636,38.492235],[-76.327257,38.500121],[-76.263968,38.503452],[-76.247894,38.523019],[-76.244396,38.536966],[-76.274057,38.531207],[-76.281047,38.53613],[-76.27964,38.557231],[-76.308321,38.571769],[-76.273496,38.59139],[-76.268633,38.597753],[-76.279589,38.60952],[-76.271827,38.615661],[-76.23665,38.628598],[-76.231187,38.61401],[-76.212427,38.606738],[-76.147158,38.63684],[-76.174611,38.672811],[-76.212808,38.681892],[-76.237818,38.711762],[-76.238685,38.735434],[-76.255093,38.736476],[-76.271243,38.716209],[-76.298499,38.718005],[-76.312756,38.730708],[-76.334017,38.703127],[-76.322418,38.679304],[-76.34322,38.67688],[-76.341288,38.751505],[-76.301886,38.824595],[-76.277854,38.831256],[-76.271575,38.851771],[-76.250364,38.825438],[-76.221162,38.813052],[-76.198138,38.81444],[-76.19109,38.82966],[-76.202598,38.862616],[-76.203638,38.928382],[-76.233895,38.942123],[-76.250157,38.938667],[-76.249163,38.9218],[-76.255819,38.919008],[-76.273022,38.94184],[-76.291211,38.931394],[-76.298208,38.92206],[-76.293358,38.903854],[-76.308425,38.898404],[-76.317947,38.911312],[-76.336104,38.905977],[-76.331103,38.864686],[-76.372719,38.838324],[-76.36205,38.936568],[-76.323293,38.998767],[-76.320277,39.022998],[-76.302029,39.039571],[-76.29409,39.004263],[-76.275964,38.982587],[-76.20236,38.973079],[-76.163956,39.000437],[-76.184207,39.046264],[-76.15896,39.065486],[-76.145174,39.092824],[-76.183908,39.096344],[-76.203333,39.085654],[-76.212563,39.041641],[-76.200666,39.01452],[-76.209114,39.01001],[-76.231765,39.018518],[-76.240905,39.039798],[-76.231212,39.060769],[-76.233457,39.091385],[-76.252946,39.133577],[-76.274907,39.145279],[-76.274303,39.166115],[-76.220475,39.259433],[-76.181496,39.291797],[-76.176804,39.306229],[-76.185581,39.319334],[-76.170588,39.331954],[-76.133225,39.340491],[-76.13495,39.35107],[-76.110598,39.372119],[-76.006546,39.366374],[-76.002514,39.384805],[-76.035464,39.386176],[-76.040854,39.393594],[-75.977751,39.44302],[-75.990005,39.458646],[-76.002497,39.450231],[-76.011716,39.454165],[-75.966955,39.53865],[-75.970337,39.557637],[-75.992633,39.563098],[-76.006213,39.550546],[-76.096072,39.536912],[-76.11461,39.488619],[-76.100218,39.476918],[-76.073119,39.475331],[-76.060931,39.452208],[-76.157108,39.406176],[-76.180057,39.377638],[-76.226976,39.349908],[-76.243377,39.361808],[-76.266365,39.353352],[-76.253928,39.336768],[-76.272671,39.326015],[-76.281374,39.304531],[-76.296546,39.302383],[-76.291078,39.318108],[-76.30177,39.352216],[-76.341443,39.354217],[-76.338898,39.325783],[-76.327579,39.314108],[-76.337858,39.305799],[-76.36439,39.31184],[-76.380662,39.299161],[-76.384901,39.275928],[-76.400094,39.261753],[-76.38138,39.249508],[-76.38438,39.242708],[-76.425281,39.205708],[-76.441411,39.196049],[-76.46156,39.204947],[-76.497977,39.204697],[-76.519804,39.222946],[-76.534285,39.213208],[-76.525785,39.177908],[-76.500926,39.161286],[-76.475983,39.161109],[-76.430946,39.132818],[-76.423081,39.07421],[-76.438845,39.0529],[-76.407398,39.034551],[-76.395639,39.016074],[-76.421535,38.989524],[-76.474198,38.972647],[-76.471281,38.956512],[-76.451695,38.94249],[-76.46188,38.924013],[-76.459479,38.907113],[-76.475761,38.914469],[-76.49368,38.910013],[-76.491107,38.884492],[-76.519442,38.863135],[-76.516944,38.851157],[-76.493639,38.848595],[-76.491387,38.835161],[-76.510078,38.801216],[-76.559697,38.767443],[-76.557535,38.744687],[-76.544561,38.727784],[-76.529868,38.728435],[-76.532056,38.676936],[-76.511278,38.615745],[-76.517506,38.539149],[-76.507489,38.5083],[-76.492699,38.482849],[-76.386229,38.382013],[-76.386931,38.363184],[-76.409291,38.325891],[-76.402894,38.311402],[-76.37531,38.299583],[-76.394171,38.278233],[-76.399078,38.258569],[-76.385244,38.217751],[-76.320492,38.138966],[-76.337411,38.110888],[-76.321499,38.03805],[-76.361237,38.059542],[-76.390917,38.101286],[-76.421066,38.105989],[-76.437242,38.135699],[-76.459236,38.139471],[-76.469798,38.119264],[-76.465479,38.106603],[-76.473266,38.103035],[-76.501258,38.137744],[-76.52899,38.134708],[-76.552957,38.187209],[-76.588683,38.21295],[-76.673462,38.234401],[-76.778625,38.22847],[-76.811647,38.250129],[-76.802347,38.280743],[-76.820799,38.299064],[-76.845846,38.297783],[-76.834908,38.274299],[-76.842038,38.254657],[-76.920778,38.291529],[-76.929554,38.321088],[-76.975092,38.347067],[-76.987838,38.391965],[-77.016371,38.445572],[-77.040638,38.444618],[-77.091073,38.407546],[-77.123325,38.410646],[-77.139968,38.390102],[-77.205009,38.360511],[-77.250172,38.382781],[-77.264238,38.414282],[-77.259962,38.435821],[-77.274021,38.481127],[-77.263599,38.512344],[-77.237724,38.55187],[-77.209905,38.56887],[-77.183767,38.600699],[-77.148651,38.6056],[-77.125191,38.619096],[-77.135901,38.649817],[-77.122001,38.685816],[-77.042045,38.720202]]]]},\"properties\":{\"name\":\"Maryland\",\"nation\":\"USA  \"}}]}","volume":"28","issue":"7","noUsgsAuthors":false,"publicationDate":"2018-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devers, Julie L.","contributorId":218866,"corporation":false,"usgs":false,"family":"Devers","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":770570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"St. John White, Barbara 0000-0001-8131-0534 bwhite@usgs.gov","orcid":"https://orcid.org/0000-0001-8131-0534","contributorId":141183,"corporation":false,"usgs":false,"family":"St. John White","given":"Barbara","email":"bwhite@usgs.gov","affiliations":[],"preferred":false,"id":770573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minkkinen, Steven","contributorId":16734,"corporation":false,"usgs":true,"family":"Minkkinen","given":"Steven","email":"","affiliations":[],"preferred":false,"id":770574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":770575,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198050,"text":"70198050 - 2018 - Quantifying variance across spatial scales as part of fire regime classifications","interactions":[],"lastModifiedDate":"2018-07-12T22:54:19","indexId":"70198050","displayToPublicDate":"2018-07-10T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying variance across spatial scales as part of fire regime classifications","docAbstract":"<p>The emergence of large‐scale fire classifications and products informed by remote sensing data has enabled opportunities to include variability or heterogeneity as part of modern fire regime classifications. Currently, basic fire metrics such as mean fire return intervals are calculated without considering spatial variance in a management context. Fire return intervals are also only applicable at a particular grain size (defined as the spatial unit of interest) even though they are typically applied homogeneously. In this study, we utilized a 29‐yr fire occurrence database to show how spatial variance changes with respect to grain as postulated by Wiens (<span><a class=\"bibLink tab-link\" href=\"https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/ecs2.2343#ecs22343-bib-0055\" data-tab=\"pane-pcw-references\" data-mce-href=\"https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/ecs2.2343#ecs22343-bib-0055\">1989</a></span>) when reporting fire patterns within the Great Plains, USA. We utilized data from the Monitoring Trends in Burn Severity database of fire occurrence for the years 1984–2012. We analyzed median numbers of fire along with their variance at four spatial grains ranging from small units (e.g., plots at 3&nbsp;×&nbsp;3&nbsp;km resolution) to large units (e.g., landscapes at 1500&nbsp;×&nbsp;2700&nbsp;km resolution). Median number of fire occurrences was consistently low, irrespective of grain. Despite the consistency in low median numbers of fires across grain, variance in the numbers of fires between units decreased. Variance within units, however, did not change as grain increased indicating fire‐pattern‐scale inconsistencies. Fire pattern interpretations depended entirely on the scale at which it is calculated. Given that the Great Plains region has a large disparity in fire patterns (i.e., some regions burn often, while others may never burn), fire regime classifications will benefit from including scale‐specific variance estimates as a foundation for understanding changes in fire regimes and corresponding social–ecological and policy responses. </p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2343","usgsCitation":"Rheinhardt, S., Fuhlendorf, S.D., Leis, S.A., Picotte, J.J., and Twidwell, D., 2018, Quantifying variance across spatial scales as part of fire regime classifications: Ecosphere, v. 9, no. 7, e02343: 12 p., https://doi.org/10.1002/ecs2.2343.","productDescription":"e02343: 12 p.","ipdsId":"IP-076490","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2343","text":"Publisher Index Page"},{"id":355621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-10","publicationStatus":"PW","scienceBaseUri":"5b46e53ce4b060350a15d051","contributors":{"authors":[{"text":"Rheinhardt, Scholtz 0000-0002-9275-6504","orcid":"https://orcid.org/0000-0002-9275-6504","contributorId":206199,"corporation":false,"usgs":false,"family":"Rheinhardt","given":"Scholtz","email":"","affiliations":[{"id":37281,"text":"Department of Natural Resource Ecology and Management. Oklahoma State University, Stillwater, OK, 74078, USA","active":true,"usgs":false}],"preferred":false,"id":739775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuhlendorf, Samuel D.","contributorId":171488,"corporation":false,"usgs":false,"family":"Fuhlendorf","given":"Samuel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":739777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leis, Sherry A.","contributorId":178699,"corporation":false,"usgs":false,"family":"Leis","given":"Sherry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":739776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Picotte, Joshua J. 0000-0002-4021-4623 jpicotte@usgs.gov","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":4626,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua","email":"jpicotte@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":739774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":739778,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196535,"text":"sir20185059 - 2018 - Santa Barbara and Foothill groundwater basins Geohydrology and optimal water resources management—Developed using density dependent solute transport and optimization models","interactions":[],"lastModifiedDate":"2018-08-06T16:46:22","indexId":"sir20185059","displayToPublicDate":"2018-07-10T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5059","title":"Santa Barbara and Foothill groundwater basins Geohydrology and optimal water resources management—Developed using density dependent solute transport and optimization models","docAbstract":"<p>Groundwater has been a part of the city of Santa Barbara’s water-supply portfolio since the 1800s; however, since the 1960s, the majority of the city’s water has come from local surface water, and the remainder has come from groundwater, State Water Project, recycled water, increased water conservation, and as needed, seawater desalination. Although groundwater from the Santa Barbara and Foothill groundwater basins only accounts for a small percentage of the long-term supply, it is an important source of supplemental water during times of surface-water shortages. During the late 1980s and early 1990s, production wells extracted additional groundwater to compensate for drought related water-delivery shortfalls from other sources; in response, water levels declined substantially in the Santa Barbara and Foothill groundwater basins (below sea level in the Santa Barbara groundwater basin).</p><p>In coastal basins that have groundwater extraction near shore, seawater intrusion is often a problem. Seawater intrusion in the Santa Barbara groundwater basin is thought to be more limited than in other coastal basins because of an offshore fault that acts as a partial barrier to groundwater flow. During the late 1980s and early 1990s, seawater intrusion was observed in the Santa Barbara groundwater basin, as indicated by increased chloride concentrations at several monitoring wells that ranged from 200 ft to 1,300 ft from the ocean and as close as 2,900 ft to the nearest pumping well. This demonstrated that seawater can intrude into the Santa Barbara groundwater basin when groundwater levels fall below sea level near the coast.</p><p>The city of Santa Barbara is interested in developing a better understanding of the sustainability of its groundwater supplies. In 2014, California adopted historic legislation to manage its groundwater: the Sustainable Groundwater Management Act (SGMA). The SGMA requires the development and implementation of “Groundwater Sustainability Plans” in 127 priority groundwater basins; although Santa Barbara was not a designated priority basin, the city is taking steps to achieve sustainability. Sustainability was defined in the SGMA in terms of avoiding undesirable results: significant and unreasonable groundwater-level declines, reduction in groundwater storage, seawater intrusion, water-quality degradation, land subsidence, and surface-water depletion.</p><p>In this project, a cooperative study between the U.S.&nbsp;Geological Survey (USGS) and the city of Santa Barbara, sustainable yield is defined as the volume of groundwater that can be pumped from storage without causing water-level drawdowns and the associated increases in seawater intrusion (as indicated by increases in measured chloride concentrations) at selected wells. In order to estimate the sustainability of Santa Barbara’s groundwater basins, a three-dimensional density-dependent groundwater-flow and solute-transport model (the Santa Barbara Flow and Transport Model, or SBFTM) was developed on the basis of an existing groundwater-flow model. To simulate seawater intrusion to the Santa Barbara Basin under various management strategies, the SBFTM uses the USGS code SEAWAT to simulate salinity transport and variable-density flow. The completed SBFTM was coupled with a management optimization tool, in this case a multi-objective evolutionary algorithm, to determine optimal pumping strategies that maximize the sustainable yield and at the same time satisfy user-defined drawdown and chloride-concentration constraints.</p><p>As part of this study, a three-dimensional hydrogeologic framework model was developed to quantify the extent and hydrogeologic characteristics of the Santa Barbara and Foothill groundwater basins and to help define the discretization and hydraulic properties used in the SBFTM. The development of the hydrogeologic framework model required the collection and reconciliation of geologic and geophysical data from existing maps, reports, and databases, along with geologic and hydrologic data from recently drilled wells. These data were integrated into a three-dimensional hydrogeologic framework model that defines the stratigraphy and geometry of the aquifer zones and the major geologic structures in the basin. The hydrogeologic framework model also quantifies the variation in sediment grain size within each aquifer zone as the percentage of coarse-grained sediment. Previous studies indicated that there are two principal water-producing zones in the Santa Barbara groundwater basin, the upper and lower producing zones; an additional thin, productive zone was identified as part of this study. This “middle producing zone” is not as areally extensive as the upper and lower producing zones and only exists in the coastal part of Storage Unit I. These producing zones are bounded at depth by less productive shallow, middle, and deep zones.</p><p>Two versions of the SBFTM were constructed: an initial-condition model and a modern transient model. The initial-condition model is a long-term transient model that simulates flow and solute-transport conditions during a period with limited anthropogenic influences preceeding the modern transient model. The simulation-transient model simulates flow and transport conditions from 1929 through 2013; however, because of data availability, the focus of the model calibration was 1972–2013. The SBFTM was calibrated to measured groundwater levels and drawdown, as well as measured chloride concentrations and change in concentrations, using a combination of automated and trial-and-error parameter-estimation techniques.<br></p><p>A sensitivity analysis indicated that, in general, the SBFTM was most sensitive to recharge- and pumping-distribution parameters, specifically those controlling the amount of small-catchment recharge and the distribution of water extraction by hydrogeologic layer for production wells. The model was also sensitive to parameters controlling stream-recharge rates, horizontal and vertical hydraulic conductivity, and porosity.</p><p>From 1929 to 1971, most of the water entering the area represented by the SBFTM was from creek and small-catchment recharge, and the majority of water leaving the SBFTM area was from pumping, discharge to creeks, and drains. In addition, about 37 percent of the total pumpage came from a net reduction in groundwater storage. From 1972 to 2013, the amount of water entering and leaving the SBFTM was fairly similar as that from 1929 to 1971, except the reduction in pumpage added about 17,000 acre-ft of water to storage. During this later period, there were also times of storage loss. For example, during July 1990, a month when approximately 705 acre-ft of groundwater was pumped in the study area, the pumpage was much greater than all sources of recharge combined, and about 382 acre-ft of water was removed from groundwater storage.</p><p>Simulated hydraulic heads replicated the observed data to an acceptable matching of the measured water-level, flow direction, and vertical gradients. Simulated hydrographs for selected wells were in good agreement with the measured data, with an average residual of -2.7 ft and a standard deviation of 14.5 ft, indicating that the simulated heads, on average, underestimated the observed water levels. An examination of the model fit indicated that most of the discrepancies were lower simulated heads at wells proximal to production well sites.</p><p>The simulated chloride concentrations reasonably matched the rising limbs of the measured breakthrough curves in terms of timing and magnitude; however, the simulation overestimated the chloride concentrations on the falling limbs. The overestimation of low chloride concentrations was attributed to the model overestimating the advance of the chloride front during periods of heavy pumping and underestimating the retreat of the chloride front during periods of low pumping. These simulation errors would result in a conservative response by local water managers to seawater intrusion.</p><p>The SBFTM was used to develop a collection of predictive simulations optimized to produce pumping schedules that maximize yield, subject to a set of constraints and competing objectives. The simulations were grouped as scenarios that differed in their time horizon, initial conditions for groundwater levels and chloride concentrations, as well as precipitation, which was incorporated into the model through simulated recharge. Overall, five scenarios were developed in a multi-objective framework to obtain optimal pumping rates for all of the wells managed by the city, while minimizing excessive drawdown and seawater intrusion.</p><p>For the current study, complexities in the simulation model and the optimization formulation required additional considerations. Incorporating the solute-transport equations to simulate chloride transport added a highly nonlinear process that is solved iteratively in each time step of the groundwater-flow model. These nonlinearities, coupled with the highly refined grid in the current model, creates challenges for many traditional optimization methods. Therefore, an optimization method was needed that could address nonlinear relationships as well as a very large problem size. Lastly, the optimization problem was reformulated to include multiple objectives without requiring convergence to a single solution. This approach, guided by the city’s objectives, allowed the maximum extraction of information from the complex simulation.</p><p>Borg, a multi-objective evolutionary algorithm, was chosen as the optimization algorithm for this study for several reasons: (1) it is very computationally efficient; (2) it can run in parallel; (3) it requires little user input; and (4) it can solve for multiple competing objectives. The first three points allow the algorithm to proceed toward the optimal solutions at the fastest possible rate. The fourth point is advantageous for large, complex optimization problems because it is difficult to formulate the optimization problem in a way that produces only one optimal solution.</p><p>The problem formulation consisted of four competing objectives and a constraint set in accordance with the main concerns of the city. The objectives were maximizing total pumpage, minimizing seawater intrusion, minimizing total drawdown in production wells, and minimizing the maximum drawdown. The constraints were pump capacity, meeting drinking-water standards for chloride, maintaining a specified minimum flowrate to a groundwater treatment plant, and maintaining minimum water levels in pumping wells. The decision variables either were quarterly pumpage by well or total pumpage by basin.</p><p>Five optimization scenarios were developed that allow the decision makers to evaluate a range of optimal solutions for a variety of water levels and chloride concentrations as well as potential future climatic conditions. Three scenarios (1, 2, and 5) were multi-objective optimization formulations that allowed for variations in management preferences and climatic conditions. The other two scenarios (3 and 4) were designed to examine the optimization results to answer specific questions. Scenario 1 described the best-case sustainable yield assuming a “full” basin (that is, high initial water levels) and typical climate conditions for 10 years. Scenario 2 also started with a “full” basin; however, this was followed by a 10-year drought. Scenario 3 determined if an “empty” basin (that is, low initial water levels) would recover to full conditions (1998 conditions) given climate assumptions and optimal pumping schedules from scenarios 1 and 2. Scenario 4 was designed to produce decision rules that can be used by water managers to help choose an optimal pumping schedule based on measured water-level or chloride data. Scenario 5 identified future pumping schedules based on short-term climate variations during a 2-year management horizon.</p><p>The results from scenarios 1 and 2 described the differences in maximum pumpage in the basin under typical and dry long-term climate projections, respectively. The scenario 1 results indicated the maximum 10-year pumpage of the basin was about 31,300 acre-ft under typical conditions and controlling simulated seawater intrusion and drawdowns. For scenario 2, less recharge over the 10-year dry climate produced a maximum pumpage estimate of 30,000 acre-ft to control seawater intrusion and drawdowns. The larger pumpage for scenario 1 resulted in more seawater intrusion, but less total drawdown, compared to that of scenario 2.</p><p>Results for scenarios 3 and 4 showed the basin’s response to management actions combined with climate projections. Both scenarios used the optimal pumping schedules and the 10-year climates from scenarios 1 and 2. The scenario 3 results showed that under minimal pumping, the basin did not fully recover to 1998 water levels within 10 years under either climate scenario. The relatively larger recharge from the typical climate resulted in less drawdown at coastal monitoring wells after the 10-year recovery period than that from the dry climate. The location of the seawater intrusion front was not appreciably different between the scenarios, however. Scenario 4 used the optimal results from scenarios 1 and 2 to produce decision-rule curves that illustrated the pumpage for each basin, given measured levels of chloride concentration or drawdown. This allowed the use of additional measurements at monitoring wells to assess future management decisions on the basis of the sensitivity of observations of drawdown and seawater intrusion to various pumping rates.</p><p>Scenario 5 allowed managers to investigate the effects of short-term climate variations on optimal pumping schedules. Three specific 2-year simulations were optimized: typical-to-dry (scenario 5A), dry-to-typical (scenario 5B), and dry-to-dry (scenario 5C). The most noteable result from scenario 5 was the overall reduction in optimal pumpage for most schedules in scenario 5C, when the climate is simulated as dry-to-dry. There are also many optimal pumping schedules that produced an overall increase in waterlevels over the two-year simulation period, regardless of climatic condition. Similar to scenario 2, the scenario 5C results represents conservative yield estimates under a minimal-precipitation climatic condition.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185059","collaboration":"Prepared in cooperation with the city of Santa Barbara","usgsCitation":"Nishikawa, T., ed., 2018, Santa Barbara and Foothill groundwater basins Geohydrology and optimal water resources management—Developed using density dependent solute transport and optimization models, U.S. Geological Survey, Scientific Investigations Report 2018-5059, 4 chap. (A–D), variously paged, https://doi.org/10.3133/sir20185059.","productDescription":"xiv, 384 p.","numberOfPages":"402","onlineOnly":"Y","ipdsId":"IP-063921","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":355581,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5059/sir20185059_.pdf","text":"Report","size":"81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5059"},{"id":355580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5059/coverthb_.jpg"},{"id":356222,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74J0DF5","text":"Data release","description":"USGS Data Release","linkHelpText":"SEAWAT model used to evaluate water management issues in the Santa Barbara and Foothill groundwater basins, California"}],"country":"United States","state":"California","city":"Santa Barbara","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.94299316406249,\n              34.134541681937364\n            ],\n            [\n              -119.10278320312499,\n              34.134541681937364\n            ],\n            [\n              -119.10278320312499,\n              35.10193405724606\n            ],\n            [\n              -120.94299316406249,\n              35.10193405724606\n            ],\n            [\n              -120.94299316406249,\n              34.134541681937364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<div><a href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,</div><div><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a></div><div><a href=\"https://usgs.gov/\" target=\"_blank\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a></div><div>6000 J Street, Placer Hall</div><div>Sacramento, California 95819</div>","tableOfContents":"<ul><li>Abstract<br></li><li>Chapter A: Introduction and Overview of Geology and Hydrogeology<br></li><li>Chapter B: Overview of Hydrogeologic Framework Model<br></li><li>Chapter C: Numerical Model of Groundwater Flow and Solute Transport<br></li><li>Chapter D: Multi-Objective Simulation-Optimization Model<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-07-10","noUsgsAuthors":false,"publicationDate":"2018-07-10","publicationStatus":"PW","scienceBaseUri":"5b46e540e4b060350a15d059","contributors":{"editors":[{"text":"Nishikawa, Tracy 0000-0002-7348-3838","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":204242,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733467,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Paulinski, Scott R. 0000-0001-6548-8164","orcid":"https://orcid.org/0000-0001-6548-8164","contributorId":204240,"corporation":false,"usgs":true,"family":"Paulinski","given":"Scott R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanko, Zachary P. 0000-0001-7047-6846","orcid":"https://orcid.org/0000-0001-7047-6846","contributorId":204241,"corporation":false,"usgs":true,"family":"Stanko","given":"Zachary","email":"","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198033,"text":"70198033 - 2018 - Candidate products for operational earthquake forecasting illustrated using the HayWired planning scenario, including one very quick (and not‐so‐dirty) hazard‐map option","interactions":[],"lastModifiedDate":"2020-09-01T14:08:49.812533","indexId":"70198033","displayToPublicDate":"2018-07-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Candidate products for operational earthquake forecasting illustrated using the HayWired planning scenario, including one very quick (and not‐so‐dirty) hazard‐map option","docAbstract":"<p>In an effort to help address debates on the usefulness of operational earthquake forecasting (OEF), we illustrate a number of OEF products that could be automatically generated in near‐real time. To exemplify, we use an <i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>M</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">M</span></span></span></span></span></span></i> 7.1 mainshock on the Hayward fault, which is very similar to the U.S. Geological Survey (USGS) HayWired earthquake planning scenario. Given that there is always some background level of hazard or risk, we emphasize that probability gains (the ratio of short‐term to long‐term‐average estimates) might be of particular interest to users. We also illustrate how such gains are highly sensitive to forecast duration and latency, with the latter representing how long it takes to generate the forecast and/or to take action. The influence of fault‐based information, which has traditionally been ignored in OEF, is also evaluated using the newly developed the third Uniform California Earthquake Rupture Forecast epidemic‐type aftershock sequence (UCERF3‐ETAS) model. We find that the inclusion of faults only makes a difference for hazard and risk metrics that are dominated by large‐event likelihoods. We also show how the ShakeMap of a mainshock represents a decent estimate of the ground motions that have a 6% chance of being exceeded due to aftershocks in the week that follows. The ultimate value of these types of OEF products can only be determined in the context of specific uses, and because these vary widely, institutions responsible for providing OEF products will depend heavily on user feedback, especially when making resource‐allocation decisions.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170241","usgsCitation":"Field, E., and Milner, K.R., 2018, Candidate products for operational earthquake forecasting illustrated using the HayWired planning scenario, including one very quick (and not‐so‐dirty) hazard‐map option: Seismological Research Letters, v. 89, no. 4, p. 1420-1434, https://doi.org/10.1785/0220170241.","productDescription":"15 p.","startPage":"1420","endPage":"1434","ipdsId":"IP-095951","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":355563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-18","publicationStatus":"PW","scienceBaseUri":"5b46e541e4b060350a15d061","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":739725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin R.","contributorId":63494,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":739726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198028,"text":"70198028 - 2018 - On the reliability of N‐mixture models for count data","interactions":[],"lastModifiedDate":"2018-07-09T21:49:17","indexId":"70198028","displayToPublicDate":"2018-07-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"On the reliability of N‐mixture models for count data","docAbstract":"<p>N‐mixture models describe count data replicated in time and across sites in terms of abundance <i>N</i> and detectability <i>p</i>. They are popular because they allow inference about <i>N</i> while controlling for factors that influence <i>p</i> without the need for marking animals. Using a capture–recapture perspective, we show that the loss of information that results from not marking animals is critical, making reliable statistical modeling of <i>N</i> and <i>p</i> problematic using just count data. One cannot reliably fit a model in which the detection probabilities are distinct among repeat visits as this model is overspecified. This makes uncontrolled variation in <i>p</i> problematic. By counter example, we show that even if <i>p</i> is constant after adjusting for covariate effects (the “constant <i>p</i>” assumption) scientifically plausible alternative models in which <i>N</i> (or its expectation) is non‐identifiable or does not even exist as a parameter, lead to data that are practically indistinguishable from data generated under an N‐mixture model. This is particularly the case for sparse data as is commonly seen in applications. We conclude that under the constant <i>p</i> assumption reliable inference is only possible for relative abundance in the absence of questionable and/or untestable assumptions or with better quality data than seen in typical applications. Relative abundance models for counts can be readily fitted using Poisson regression in standard software such as R and are sufficiently flexible to allow controlling for <i>p</i> through the use covariates while simultaneously modeling variation in relative abundance. If users require estimates of absolute abundance, they should collect auxiliary data that help with estimation of <i>p</i>.</p>","language":"English","publisher":"Wiley","doi":"10.1111/biom.12734","usgsCitation":"Barker, R.J., Schofield, M., Link, W.A., and Sauer, J.R., 2018, On the reliability of N‐mixture models for count data: Biometrics, v. 74, no. 1, p. 369-377, https://doi.org/10.1111/biom.12734.","productDescription":"9 p.","startPage":"369","endPage":"377","ipdsId":"IP-075479","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":460879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/biom.12734","text":"Publisher Index Page"},{"id":355564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-03","publicationStatus":"PW","scienceBaseUri":"5b46e541e4b060350a15d063","contributors":{"authors":[{"text":"Barker, Richard J.","contributorId":206174,"corporation":false,"usgs":false,"family":"Barker","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":37272,"text":"University of Otago; Dunedin, New Zealand","active":true,"usgs":false}],"preferred":false,"id":739705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Matthew J.","contributorId":206175,"corporation":false,"usgs":false,"family":"Schofield","given":"Matthew J.","affiliations":[{"id":37272,"text":"University of Otago; Dunedin, New Zealand","active":true,"usgs":false}],"preferred":false,"id":739706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":739707,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}