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The most recent glacial ice retreat in this region occurred between 25,000 and 20,000 years ago, and the subsequent rise in sea level that followed deglaciation caused differences in the seafloor character between Buzzards Bay and Vineyard Sound. The relatively rough seafloor of Vineyard Sound reflects widespread exposure of glacial material. Shoals mark the location of recessional ice contact material, and deep channels illustrate where meltwater drainage incised glacial deposits. Following ice retreat from the Elizabeth Islands, a glacial lake formed across the mouth of Buzzards Bay, when the lake drained, it scoured two deep channels at the southern end of the bay.</p>\n<br/>\n<p>Sea level rise began to inundate Vineyard Sound and Buzzards Bay about 8,000 years ago and continues to modify the modern seafloor (Robb and Oldale, 1977). Fine-grained marine and estuarine sediments were deposited in the partially protected setting of Buzzards Bay. These deposits, up to 10 meters in thickness, buried the high-relief glacial landscape and created the generally smooth modern seafloor. In contrast, the Vineyard Sound of today experiences strong tidal currents, which largely prevent the deposition of fine-grained material and constantly rework the glacial sand and gravel within shoals. The seafloor of the sound largely reflects the contours of the ancient glaciated landscape that existed before sea level began to rise.</p>\n<br/>\n<p>The bathymetric data used to create the hillshaded relief image of the seafloor were collected by the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management and supplemented with National Oceanic and Atmospheric Administration hydrographic survey data. The map shows the detailed bathymetry of Buzzards Bay and Vineyard Sound with depth soundings shown on a 5-meter-per-pixel grid. Depths are coded by color where the deepest areas are in blue and the shallowest areas are in orange. The aerial photography for the Elizabeth Islands and Massachusetts mainland were obtained from the Massachusetts Office of Geographic Information.</p>\n<br/>\n<p>Data collected during this statewide cooperative project have been released in a series of USGS open-file reports. These publications and information regarding geologic mapping in Massachusetts can be obtained from the Coastal and Marine Geology Program’s Web site (http://woodshole.er.usgs.gov/project-pages/coastal_mass/).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3286","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Pendleton, E., Andrews, B., Ackerman, S.D., and Twichell, D., 2014, Bathymetry of the waters surrounding the Elizabeth Islands, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3286, Map: 12.0 inches x 36.0 inches, https://doi.org/10.3133/sim3286.","productDescription":"Map: 12.0 inches x 36.0 inches","onlineOnly":"Y","ipdsId":"IP-051077","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3286.jpg"},{"id":286541,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3286/pdf/sim3286.pdf"},{"id":286543,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3286/"}],"scale":"72000","projection":"Universal Transverse Mercator projection, zone 19N","datum":"World Geodetic System 1984","country":"United States","state":"Massachusetts","otherGeospatial":"Elizabeth Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.666667,41.333333 ], [ -70.666667,41.583333 ], [ -70.583333,41.583333 ], [ -70.583333,41.333333 ], [ -70.666667,41.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535a244fe4b0d08644962727","contributors":{"authors":[{"text":"Pendleton, Elizabeth A. ependleton@usgs.gov","contributorId":2863,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","email":"ependleton@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":490459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":2132,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":490458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":490457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Twichell, Dave","contributorId":23421,"corporation":false,"usgs":true,"family":"Twichell","given":"Dave","affiliations":[],"preferred":false,"id":490460,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170468,"text":"70170468 - 2014 - Field-scale sulfur hexafluoride tracer experiment to understand long distance gas transport in the deep unsaturated zone","interactions":[],"lastModifiedDate":"2018-09-18T16:25:40","indexId":"70170468","displayToPublicDate":"2014-04-24T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Field-scale sulfur hexafluoride tracer experiment to understand long distance gas transport in the deep unsaturated zone","docAbstract":"<p>A gas-tracer test in a deep arid unsaturated zone demonstrates that standard estimates of effective diffusivity from sediment properties allow a reasonable first-cut assessment of gas contaminant transport. Apparent anomalies in historic transport behavior at this and other waste disposal sites may result from factors other than nonreactive gas transport properties.</p>\n<p>A natural gradient SF<sub>6</sub>&nbsp;tracer experiment provided an unprecedented evaluation of long distance gas transport in the deep unsaturated zone (UZ) under controlled (known) conditions. The field-scale gas tracer test in the 110-m-thick UZ was conducted at the U.S. Geological Survey&rsquo;s Amargosa Desert Research Site (ADRS) in southwestern Nevada. A history of anomalous (theoretically unexpected) contaminant gas transport observed at the ADRS, next to the first commercial low-level radioactive waste disposal facility in the United States, provided motivation for the SF<sub>6</sub>&nbsp;tracer study. Tracer was injected into a deep UZ borehole at depths of 15 and 48 m, and plume migration was observed in a monitoring borehole 9 m away at various depths (0.5&ndash;109 m) over the course of 1 yr. Tracer results yielded useful information about gas transport as applicable to the spatial scales of interest for off-site contaminant transport in arid unsaturated zones. Modeling gas diffusion with standard empirical expressions reasonably explained SF<sub>6</sub>&nbsp;plume migration, but tended to underpredict peak concentrations for the field-scale experiment given previously determined porosity information. Despite some discrepancies between observations and model results, rapid SF<sub>6</sub>&nbsp;gas transport commensurate with previous contaminant migration was not observed. The results provide ancillary support for the concept that apparent anomalies in historic transport behavior at the ADRS are the result of factors other than nonreactive gas transport properties or processes currently in effect in the undisturbed UZ.</p>","language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/vzj2014.04.0045","usgsCitation":"Walvoord, M.A., Andraski, B.J., Green, C.T., Stonestrom, D.A., and Striegl, R.G., 2014, Field-scale sulfur hexafluoride tracer experiment to understand long distance gas transport in the deep unsaturated zone: Vadose Zone Journal, v. 13, no. 8, 10 p., https://doi.org/10.2136/vzj2014.04.0045.","productDescription":"10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056435","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":488435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2014.04.0045","text":"Publisher Index Page"},{"id":320401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Amargosa Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.2076416015625,\n              37.004746084814784\n            ],\n            [\n              -117.20489501953125,\n              36.00911716117325\n            ],\n            [\n              -115.99365234375,\n              36.00467348670187\n            ],\n            [\n              -115.99639892578125,\n              36.758690821098426\n            ],\n            [\n              -116.49627685546874,\n              36.756490329505176\n            ],\n            [\n              -116.49902343749999,\n              37.00693943418586\n            ],\n            [\n              -117.2076416015625,\n              37.004746084814784\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-15","publicationStatus":"PW","scienceBaseUri":"571b4b2ee4b071321fe31c74","contributors":{"authors":[{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":627331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":false,"id":627332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":627333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":627334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"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}],"preferred":false,"id":627335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70126600,"text":"70126600 - 2014 - Spatio-temporal patterns of ptarmigan occupancy relative to shrub cover in the Arctic","interactions":[],"lastModifiedDate":"2014-09-24T09:09:00","indexId":"70126600","displayToPublicDate":"2014-04-24T09:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal patterns of ptarmigan occupancy relative to shrub cover in the Arctic","docAbstract":"Rock and willow ptarmigan are abundant herbivores that require shrub habitats in arctic and alpine areas. Shrub expansion is likely to increase winter habitat availability for ptarmigan, which in turn influence shrub architecture and growth through browsing. Despite their ecological role in the Arctic, the distribution and movement patterns of ptarmigan are not well known, particularly in northern Alaska where shrub expansion is occurring. We used multi-season occupancy models to test whether ptarmigan occupancy varied within and among years, and the degree to which colonization and extinction probabilities were related to shrub cover and latitude. Aerial surveys were conducted from March to May in 2011 and April to May 2012 in a 21,230 km<sup>2</sup> area in northeastern Alaska. In areas with at least 30 % shrub cover, the probability of colonization by ptarmigan was >0.90, indicating that moderate to extensive patches of shrubs (typically associated with riparian areas) had a high probability of becoming occupied by ptarmigan. Occupancy increased throughout the spring in both years, providing evidence that ptarmigan migrated from southern wintering areas to breeding areas north of the Brooks Range. Occupancy was higher in the moderate snow year than the high snow year, and this was likely due to higher shrub cover in the moderate snow year. Ptarmigan distribution and migration in the Arctic are linked to expanding shrub communities on a wide geographic scale, and these relationships may be shaping ptarmigan population dynamics, as well as rates and patterns of shrub expansion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Polar Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00300-014-1504-z","usgsCitation":"Schmutz, J.A., 2014, Spatio-temporal patterns of ptarmigan occupancy relative to shrub cover in the Arctic: Polar Biology, v. 37, no. 8, p. 1111-1120, https://doi.org/10.1007/s00300-014-1504-z.","productDescription":"10 p.","startPage":"1111","endPage":"1120","ipdsId":"IP-051567","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":294407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294402,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00300-014-1504-z"},{"id":294403,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00300-014-1504-z"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.44,51.21 ], [ 172.44,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.44,51.21 ] ] ] } } ] }","volume":"37","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-04-23","publicationStatus":"PW","scienceBaseUri":"5423dd26e4b037b608f9d479","contributors":{"authors":[{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502133,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70158935,"text":"70158935 - 2014 - Disentangling the effects of climate and landscape change on bird population trends in the western U.S. and Canada","interactions":[],"lastModifiedDate":"2024-12-05T16:12:33.734285","indexId":"70158935","displayToPublicDate":"2014-04-23T10:01:32","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Disentangling the effects of climate and landscape change on bird population trends in the western U.S. and Canada","docAbstract":"<p>Changes in climate are often assumed result in changes to species’ ranges, with potential impacts on natural system functioning and ecosystem services. ‘Climate envelope models’, which rely on correlations between climate and species distributions, have been used to predict the future of biodiversity under these assumptions. However, other factors including land-cover, dispersal ability and interspecific competition and facilitation may play an important role in driving species distributions and population trends either alone or in combination with climate. In an ongoing project, we used long-term data on bird distributions and abundance to develop climate envelope and land-use models for 161 species in order to provide a multi-species test of the degree to which climate envelope versus land-use models are useful in predicting species distributions and population trends of birds in forest ecosystems of the western U.S. and Canada. Our results suggest that models describing associations between climatic variables and abundance patterns can be used for some species to predict changes through time, and that changes in climate have already driven shifts in the geographic patterns of abundance of bird populations in western North America. For other species, models using land-use variables including raw remote-sensing variables may provide the best predictions for abundance change. The results of this research showing the reliability of models across multiple species will aid managers in understanding which species are most vulnerable to changes from climate, land-use change and their interaction. </p>","language":"English","publisher":"Northwest Climate Science Center","usgsCitation":"Betts, M.G., Shirley, S., and Hagar, J., 2014, Disentangling the effects of climate and landscape change on bird population trends in the western U.S. and Canada: Final Report, 20 p.","productDescription":"20 p.","ipdsId":"IP-053242","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":464810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":464809,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c64d2e4b0546c0c397b46/5006f5d0e4b0abf7ce733fa9","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.52224868792644,\n              30.145956114275933\n            ],\n            [\n              -101.43694449126431,\n              45.00371243962172\n            ],\n            [\n              -100.36734134919118,\n              49.20562346875474\n            ],\n            [\n              -91.53114143700088,\n              48.4771951716223\n            ],\n            [\n              -90.86042755476569,\n              52.05288516127723\n            ],\n            [\n              -98.01908676798593,\n              54.5708213309878\n            ],\n            [\n              -97.74459898743484,\n              56.279434015227025\n            ],\n            [\n              -135.52124935448506,\n              57.4706888294275\n            ],\n            [\n              -133.21224214555465,\n              52.81460907877127\n            ],\n            [\n              -127.06383095796434,\n              48.91679679540016\n            ],\n            [\n              -125.13127111964917,\n              46.3328708216616\n            ],\n            [\n              -124.9348729629847,\n              39.9696215148646\n            ],\n            [\n              -122.152726658046,\n              36.00719764537918\n            ],\n            [\n              -120.8133285778356,\n              33.80179118849948\n            ],\n            [\n              -117.23772499123346,\n              32.65532716686185\n            ],\n            [\n              -114.6067792654694,\n              32.752154589062\n            ],\n            [\n              -111.3461895355633,\n              31.083759684300837\n            ],\n            [\n              -106.38723615445751,\n              31.58796084886112\n            ],\n            [\n              -104.52224868792644,\n              30.145956114275933\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Betts, Matthew G.","contributorId":27748,"corporation":false,"usgs":true,"family":"Betts","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":576950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shirley, Susan","contributorId":149118,"corporation":false,"usgs":false,"family":"Shirley","given":"Susan","email":"","affiliations":[{"id":17648,"text":"Forest Ecosystems and Society, Oregon State University,","active":true,"usgs":false}],"preferred":false,"id":576951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":576949,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102646,"text":"70102646 - 2014 - Simulation-optimization aids in resolving water conflict: Temecula Basin, Southern California","interactions":[],"lastModifiedDate":"2014-07-03T12:46:45","indexId":"70102646","displayToPublicDate":"2014-04-22T12:39:09","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Simulation-optimization aids in resolving water conflict: Temecula Basin, Southern California","docAbstract":"<p>The productive agricultural areas of Pajaro Valley, California have exclusively relied on ground water from coastal aquifers in central Monterey Bay. As part of the Basin Management Plan (BMP), the Pajaro Valley Water Management Agency (PVWMA) is developing additional local supplies to replace coastal pumpage, which is causing seawater intrusion. The BMP includes an aquifer storage and recovery (ASR) system, which captures and stores local winter runoff, and supplies it to growers later in the growing season in lieu of ground-water pumpage. A Coastal Distribution System (CDS) distributes water from the ASR and other supplemental sources. A detailed model of the Pajaro Valley is being used to simulate the coupled supply and demand components of irrigated agriculture from 1963 to 2006. Recent upgrades to the Farm Process in MODFLOW (MF2K-FMP) allow simulating the effects of ASR deliveries and reduced pumping for farms in subregions connected to the CDS. The BMP includes a hierarchy of monthly supply alternatives, including a recovery well field around the ASR system, a supplemental wellfield, and onsite farm supply wells. The hierarchy of delivery requirements is used by MF2K-FMP to estimate the effects of these deliveries on coastal ground-water pumpage and recovery of water levels. This integrated approach can be used to assess the effectiveness of the BMP under variable climatic conditions, and to test the impacts of more complete subscription by coastal farmers to the CDS deliveries. The model will help managers assess the effects of new BMP components to further reduce pumpage and seawater intrusion.</p>","largerWorkTitle":"Modflow and more 2008: Ground water and public policy","conferenceTitle":"Modflow and more 2008: Ground water and public policy","conferenceDate":"2008-05-18T00:00:00","conferenceLocation":"Golden, CO","language":"English","publisher":"International Groundwater Modeling Center","publisherLocation":"Golden, CO","usgsCitation":"Hanson, R.T., Faunt, C., Schmid, W., and Lear, J., 2014, Simulation-optimization aids in resolving water conflict: Temecula Basin, Southern California.","ipdsId":"IP-003918","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":289429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Temecula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.190267,33.447929 ], [ -117.190267,33.554813 ], [ -117.054222,33.554813 ], [ -117.054222,33.447929 ], [ -117.190267,33.447929 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b83e4b014fc094d5475","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":493014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":493016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lear, Jonathan","contributorId":72303,"corporation":false,"usgs":true,"family":"Lear","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":493015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70102385,"text":"70102385 - 2014 - Climate controls the distribution of a widespread invasive species: Implications for future range expansion","interactions":[],"lastModifiedDate":"2016-01-22T15:33:45","indexId":"70102385","displayToPublicDate":"2014-04-22T11:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate controls the distribution of a widespread invasive species: Implications for future range expansion","docAbstract":"<p>1. Two dominant drivers of species distributions are climate and habitat, both of which are changing rapidly. Understanding the relative importance of variables that can control distributions is critical, especially for invasive species that may spread rapidly and have strong effects on ecosystems.<br /> 2. Here, we examine the relative importance of climate and habitat variables in controlling the distribution of the widespread invasive freshwater clam <i>Corbicula fluminea</i>, and we model its future distribution under a suite of climate scenarios using logistic regression and maximum entropy modelling (MaxEnt).<br /> 3. Logistic regression identified climate variables as more important than habitat variables in controlling <i>Corbicula</i> distribution. MaxEnt modelling predicted <i>Corbicula</i>'s range expansion westward and northward to occupy half of the contiguous United States. By 2080, <i>Corbicula</i>'s potential range will expand 25&ndash;32%, with more than half of the continental United States being climatically suitable.<br /> 4. Our combination of multiple approaches has revealed the importance of climate over habitat in controlling <i>Corbicula</i>'s distribution and validates the climate-only MaxEnt model, which can readily examine the consequences of future climate projections.<br /> 5. Given the strong influence of climate variables on <i>Corbicula</i>'s distribution, as well as <i>Corbicula</i>'s ability to disperse quickly and over long distances, <i>Corbicula</i> is poised to expand into New England and the northern Midwest of the United States. Thus, the direct effects of climate change will probably be compounded by the addition of <i>Corbicula</i> and its own influences on ecosystem function.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/fwb.12308","usgsCitation":"McDowell, W., Benson, A., and Byers, J., 2014, Climate controls the distribution of a widespread invasive species: Implications for future range expansion: Freshwater Biology, v. 59, no. 4, p. 847-857, https://doi.org/10.1111/fwb.12308.","productDescription":"11 p.","startPage":"847","endPage":"857","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046212","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286508,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/fwb.12308"}],"volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-02-05","publicationStatus":"PW","scienceBaseUri":"53578152e4b0938066bc8177","contributors":{"authors":[{"text":"McDowell, W.G.","contributorId":84666,"corporation":false,"usgs":true,"family":"McDowell","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":492966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, A.J.","contributorId":60816,"corporation":false,"usgs":true,"family":"Benson","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":492964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byers, J.E.","contributorId":70290,"corporation":false,"usgs":true,"family":"Byers","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":492965,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102305,"text":"70102305 - 2014 - Analysis and simulation of propagule dispersal and salinity intrusion from storm surge on the movement of a marsh–mangrove ecotone in South Florida","interactions":[],"lastModifiedDate":"2014-04-22T13:33:21","indexId":"70102305","displayToPublicDate":"2014-04-22T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Analysis and simulation of propagule dispersal and salinity intrusion from storm surge on the movement of a marsh–mangrove ecotone in South Florida","docAbstract":"Coastal mangrove–freshwater marsh ecotones of the Everglades represent transitions between marine salt-tolerant halophytic and freshwater salt-intolerant glycophytic communities. It is hypothesized here that a self-reinforcing feedback, termed a “vegetation switch,” between vegetation and soil salinity, helps maintain the sharp mangrove–marsh ecotone. A general theoretical implication of the switch mechanism is that the ecotone will be stable to small disturbances but vulnerable to rapid regime shifts from large disturbances, such as storm surges, which could cause large spatial displacements of the ecotone. We develop a simulation model to describe the vegetation switch mechanism. The model couples vegetation dynamics and hydrologic processes. The key factors in the model are the amount of salt-water intrusion into the freshwater wetland and the passive transport of mangrove (e.g., Rhizophora mangle) viviparous seeds or propagules. Results from the model simulations indicate that a regime shift from freshwater marsh to mangroves is sensitive to the duration of soil salinization through storm surge overwash and to the density of mangrove propagules or seedlings transported into the marsh. We parameterized our model with empirical hydrologic data collected from the period 2000–2010 at one mangrove–marsh ecotone location in southwestern Florida to forecast possible long-term effects of Hurricane Wilma (24 October 2005). The model indicated that the effects of that storm surge were too weak to trigger a regime shift at the sites we studied, 50 km south of the Hurricane Wilma eyewall, but simulations with more severe artificial disturbances were capable of causing substantial regime shifts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9666-4","usgsCitation":"Jiang, J., DeAngelis, D., Anderson, G.H., and Smith, T.J., 2014, Analysis and simulation of propagule dispersal and salinity intrusion from storm surge on the movement of a marsh–mangrove ecotone in South Florida: Estuaries and Coasts, v. 37, no. 1, p. 24-35, https://doi.org/10.1007/s12237-013-9666-4.","productDescription":"12 p.","startPage":"24","endPage":"35","ipdsId":"IP-041564","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286506,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-013-9666-4"}],"country":"United States","state":"Florida","otherGeospatial":"Harney River","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-12","publicationStatus":"PW","scienceBaseUri":"53578150e4b0938066bc816f","contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":492937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":492938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Gordon H. 0000-0003-1675-8329 gordon_anderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":2771,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","email":"gordon_anderson@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":492936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":492935,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70102392,"text":"70102392 - 2014 - Modeling effects of conservation grassland losses on amphibian habitat","interactions":[],"lastModifiedDate":"2018-01-04T12:17:44","indexId":"70102392","displayToPublicDate":"2014-04-22T10:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Modeling effects of conservation grassland losses on amphibian habitat","docAbstract":"Amphibians provide many ecosystem services valued by society. However, populations have declined globally with most declines linked to habitat change. Wetlands and surrounding terrestrial grasslands form habitat for amphibians in the North American Prairie Pothole Region (PPR). Wetland drainage and grassland conversion have destroyed or degraded much amphibian habitat in the PPR. However, conservation grasslands can provide alternate habitat. In the United States, the Conservation Reserve Program (CRP) is the largest program maintaining grasslands on agricultural lands. We used an ecosystem services model (InVEST) parameterized for the PPR to quantify amphibian habitat over a six-year period (2007–2012). We then quantified changes in availability of amphibian habitat under various land-cover scenarios representing incremental losses (10%, 25%, 50%, 75%, and 100%) of CRP grasslands from 2012 levels. The area of optimal amphibian habitat in the four PPR ecoregions modeled (i.e., Northern Glaciated Plains, Northwestern Glaciated Plains, Lake Agassiz Plain, Des Moines Lobe) declined by approximately 22%, from 3.8 million ha in 2007 to 2.9 million ha in 2012. These losses were driven by the conversion of CRP grasslands to croplands, primarily for corn and soybean production. Our modeling identified an additional 0.8 million ha (26%) of optimal amphibian habitat that would be lost if remaining CRP lands are returned to crop production. An economic climate favoring commodity production over conservation has resulted in substantial losses of amphibian habitat across the PPR that will likely continue into the future. Other regions of the world face similar challenges to maintaining amphibian habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2014.04.001","usgsCitation":"Mushet, D.M., Neau, J.L., and Euliss, N.H., 2014, Modeling effects of conservation grassland losses on amphibian habitat: Biological Conservation, v. 174, p. 93-100, https://doi.org/10.1016/j.biocon.2014.04.001.","productDescription":"8 p.","startPage":"93","endPage":"100","ipdsId":"IP-045380","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":286500,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2014.04.001"},{"id":286503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.84,41.48 ], [ -103.84,49.01 ], [ -93.12,49.01 ], [ -93.12,41.48 ], [ -103.84,41.48 ] ] ] } } ] }","volume":"174","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578155e4b0938066bc8193","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neau, Jordan L. jneau@usgs.gov","contributorId":4737,"corporation":false,"usgs":true,"family":"Neau","given":"Jordan","email":"jneau@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":492987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":492986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102388,"text":"70102388 - 2014 - Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure","interactions":[],"lastModifiedDate":"2018-09-18T16:47:35","indexId":"70102388","displayToPublicDate":"2014-04-22T10:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure","docAbstract":"The U.S. Geological Survey is conducting a combined pre/post-closure assessment at a long-term wastewater treatment plant (WWTP) site at Fort Gordon near Augusta, Georgia. Here, we assess select endocrine-active chemicals and benthic macroinvertebrate community structure prior to closure of the WWTP. Substantial downstream transport and limited instream attenuation of endocrine-disrupting chemicals (EDCs) was observed in Spirit Creek over a 2.2-km stream segment downstream of the WWTP outfall. A modest decline (less than 20% in all cases) in surface water detections was observed with increasing distance downstream of the WWTP and attributed to partitioning to the sediment. Estrogens detected in surface water in this study included estrone (E1), 17β-estradiol (E2), and estriol (E3). The 5 ng/l and higher mean estrogen concentrations observed in downstream locations indicated that the potential for endocrine disruption was substantial. Concentrations of alkylphenol ethoxylate (APE) metabolite EDCs also remained statistically elevated above levels observed at the upstream control site. Wastewater-derived pharmaceutical and APE metabolites were detected in the outflow of Spirit Lake, indicating the potential for EDC transport to aquatic ecosystems downstream of Fort Gordon. The results indicate substantial EDC occurrence, downstream transport, and persistence under continuous supply conditions and provide a baseline for a rare evaluation of ecosystem response to WWTP closure.","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12165","usgsCitation":"Bradley, P.M., and Journey, C.A., 2014, Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure: Journal of the American Water Resources Association, v. 50, no. 2, p. 388-400, https://doi.org/10.1111/jawr.12165.","productDescription":"13 p.","startPage":"388","endPage":"400","numberOfPages":"13","ipdsId":"IP-052310","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":286501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286490,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12165"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Georgia","city":"Augusta","otherGeospatial":"Fort Gordon;Spirit Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.400191,33.248398 ], [ -82.400191,33.501428 ], [ -81.997937,33.501428 ], [ -81.997937,33.248398 ], [ -82.400191,33.248398 ] ] ] } } ] }","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578152e4b0938066bc8173","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70059991,"text":"sir20145001 - 2014 - Status of groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, 2008-2010: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2014-04-22T10:32:46","indexId":"sir20145001","displayToPublicDate":"2014-04-22T10:26:00","publicationYear":"2014","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":"2014-5001","title":"Status of groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, 2008-2010: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the approximately 963-square-mile Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit was investigated as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is located in southern California in San Bernardino, Riverside, San Diego, and Imperial Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey and the Lawrence Livermore National Laboratory.</p>\n<br/>\n<p>The GAMA Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study was designed to provide a spatially unbiased assessment of the quality of untreated (raw) groundwater in the primary aquifer system. The assessment is based on water-quality and ancillary data collected by the U.S. Geological Survey from 52 wells (49 grid wells and 3 understanding wells) and on water-quality data from the California Department of Public Health database. The primary aquifer system was defined by the depth intervals of the wells listed in the California Department of Public Health database for the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit. The quality of groundwater in the primary aquifer system may be different from that in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination.</p>\n<br/>\n<p>This study assesses the status of the current quality of the groundwater resource by using data from samples analyzed for volatile organic compounds (VOCs), pesticides, and naturally occurring inorganic constituents, such as major ions and trace elements. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, not the treated drinking water delivered to consumers by water purveyors.</p>\n<br/>\n<p>Relative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration greater than 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to 1.0 indicates a concentration equal to or less than a benchmark. Relative-concentrations of organic constituents and special-interest constituents [perchlorate and N-nitrosodimethylamine (NDMA)] were classified as high (relative-concentration greater than 1.0), moderate (relative-concentration greater than 0.1 and less than or equal to 1.0), or low (relative-concentration less than or equal to 0.1). Relative-concentrations of inorganic constituents were classified as high (relative-concentration greater than 1.0), moderate (relative-concentration greater than 0.5 and less than or equal to 1.0), or low (relative-concentration less than or equal to 0.5).</p>\n<br/>\n<p>Aquifer-scale proportion was used as the primary metric in the status assessment for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifer system with a high relative-concentration for a particular constituent or class of constituents; this percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentages of the primary aquifer system with moderate and low relative-concentrations, respectively, of a constituent or class of constituents. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable to each other (within 90-percent confidence intervals) in the study unit.</p>\n<br/>\n<p>Inorganic constituents (one or more) with health-based benchmarks were detected at high relative-concentrations in 48 percent of the primary aquifer system and at moderate relative-concentrations in 26 percent of the primary aquifer system. The high aquifer-scale proportion of inorganic constituents primarily reflected high aquifer-scale proportions of fluoride (27 percent), arsenic (18 percent), molybdenum (16 percent), boron (10 percent), uranium (5.6 percent), gross alpha radioactivity (9.7 percent), and nitrate (2.7 percent). The inorganic constituents with secondary maximum contaminant levels (SMCLs) were detected at high relative-concentrations in 13 percent of the primary aquifer system and at moderate relative-concentrations in 39 percent. The high aquifer-scale proportion for SMCL constituents reflected high aquifer-scale proportions of total dissolved solids (TDS, 11 percent), manganese (2.8 percent), and chloride (2.8 percent).</p>\n<br/>\n<p>Organic constituents were not detected at high relative-concentrations in the primary aquifer system, and were present at moderate relative-concentrations in 5.0 percent, and at low relative-concentrations or were not detected in 95 percent of the primary aquifer system. Of the 148 organic constituents analyzed, 12 constituents were detected. Two organic constituents, chloroform and tetrachloroethene (PCE), were detected in more than 10 percent of samples, but were detected mostly at low relative-concentrations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145001","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Parsons, M.C., Hancock, T.C., Kulongoski, J., and Belitz, K., 2014, Status of groundwater quality in the Borrego Valley, Central Desert, and Low-Use Basins of the Mojave and Sonoran Deserts study unit, 2008-2010: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5001, viii, 88 p., https://doi.org/10.3133/sir20145001.","productDescription":"viii, 88 p.","numberOfPages":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027935","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145001.jpg"},{"id":286487,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5001/"},{"id":286495,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5001/pdf/sir2014-5001.pdf"},{"id":286496,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2014/3001/"}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","county":"Imperial County;Riverside County;San Bernardino County;San Diego County","otherGeospatial":"Borrego Valley;Mojave Desert;Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.82,32.24 ], [ -124.82,42.12 ], [ -113.99,42.12 ], [ -113.99,32.24 ], [ -124.82,32.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578159e4b0938066bc819f","contributors":{"authors":[{"text":"Parsons, Mary C. mparsons@usgs.gov","contributorId":1571,"corporation":false,"usgs":true,"family":"Parsons","given":"Mary","email":"mparsons@usgs.gov","middleInitial":"C.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, Tracy Connell","contributorId":62295,"corporation":false,"usgs":true,"family":"Hancock","given":"Tracy","email":"","middleInitial":"Connell","affiliations":[],"preferred":false,"id":487867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":487868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":487865,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70102296,"text":"70102296 - 2014 - Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean","interactions":[],"lastModifiedDate":"2014-04-29T09:25:49","indexId":"70102296","displayToPublicDate":"2014-04-22T10:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean","docAbstract":"Anthropogenic semivolatile organic compounds (SOCs) that persist in the environment, bioaccumulate, are toxic at low concentrations, and undergo long-range atmospheric transport (LRT) were identified and quantified in the atmosphere of a Saharan dust source region (Mali) and during Saharan dust incursions at downwind sites in the eastern Caribbean (U.S. Virgin Islands, Trinidad and Tobago) and Cape Verde. More organochlorine and organophosphate pesticides (OCPPs), polycyclic aromatic hydrocarbons (PAHs), and polychlorinated biphenyl (PCB) congeners were detected in the Saharan dust region than at downwind sites. Seven of the 13 OCPPs detected occurred at all sites: chlordanes, chlorpyrifos, dacthal, dieldrin, endosulfans, hexachlorobenzene (HCB), and trifluralin. Total SOCs ranged from 1.9–126 ng/m<sup>3</sup> (mean = 25 ± 34) at source and 0.05–0.71 ng/m<sup>3</sup> (mean = 0.24 ± 0.18) at downwind sites during dust conditions. Most SOC concentrations were 1–3 orders of magnitude higher in source than downwind sites. A Saharan source was confirmed for sampled air masses at downwind sites based on dust particle elemental composition and rare earth ratios, atmospheric back trajectory models, and field observations. SOC concentrations were considerably below existing occupational and/or regulatory limits; however, few regulatory limits exist for these persistent organic compounds. Long-term effects of chronic exposure to low concentrations of SOCs are unknown, as are possible additive or synergistic effects of mixtures of SOCs, biologically active trace metals, and mineral dust particles transported together in Saharan dust air masses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.076","usgsCitation":"Garrison, V.H., Majewski, M.S., Foreman, W., Genualdi, S.A., Mohammed, A., and Massey Simonich, S., 2014, Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean: Science of the Total Environment, v. 468-469, p. 530-543, https://doi.org/10.1016/j.scitotenv.2013.08.076.","productDescription":"14 p.","startPage":"530","endPage":"543","numberOfPages":"14","ipdsId":"IP-049426","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286462,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.076"}],"country":"Cape Verde;Mali;Trinidad And Tobago;U.S. Virgin Islands","otherGeospatial":"Caribbean;Sahara","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.44,-13.18 ], [ -99.44,42.63 ], [ 15.38,42.63 ], [ 15.38,-13.18 ], [ -99.44,-13.18 ] ] ] } } ] }","volume":"468-469","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578157e4b0938066bc819b","chorus":{"doi":"10.1016/j.scitotenv.2013.08.076","url":"http://dx.doi.org/10.1016/j.scitotenv.2013.08.076","publisher":"Elsevier BV","authors":"Garrison V.H., Majewski M.S., Foreman W.T., Genualdi S.A., Mohammed A., Massey Simonich S.L.","journalName":"Science of The Total Environment","publicationDate":"1/2014"},"contributors":{"authors":[{"text":"Garrison, Virginia H. ginger_garrison@usgs.gov","contributorId":2386,"corporation":false,"usgs":true,"family":"Garrison","given":"Virginia","email":"ginger_garrison@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":492912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Majewski, Michael S. majewski@usgs.gov","contributorId":440,"corporation":false,"usgs":true,"family":"Majewski","given":"Michael","email":"majewski@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":492911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genualdi, Susan A.","contributorId":94024,"corporation":false,"usgs":true,"family":"Genualdi","given":"Susan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohammed, Azad","contributorId":37873,"corporation":false,"usgs":true,"family":"Mohammed","given":"Azad","email":"","affiliations":[],"preferred":false,"id":492914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Massey Simonich, Stacy L.","contributorId":30147,"corporation":false,"usgs":true,"family":"Massey Simonich","given":"Stacy L.","affiliations":[],"preferred":false,"id":492913,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70098181,"text":"sir20145043 - 2014 - Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat","interactions":[],"lastModifiedDate":"2014-04-22T09:03:20","indexId":"sir20145043","displayToPublicDate":"2014-04-21T16:22:00","publicationYear":"2014","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":"2014-5043","title":"Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the National Monitoring Network for U.S. Coastal Waters and Tributaries, launched a pilot project in 2010 to determine the value of integrated synoptic surveys of rivermouths using autonomous underwater vehicle technology in response to a call for rivermouth research, which includes study domains that envelop both the fluvial and lacustrine boundaries of the rivermouth mixing zone. The pilot project was implemented at two Lake Michigan rivermouths with largely different scales, hydrodynamics, and settings, but employing primarily the same survey techniques and methods. The Milwaukee River Estuary Area of Concern (AOC) survey included measurements in the lower 2 to 3 miles of the Milwaukee, Menomonee, and Kinnickinnic Rivers and inner and outer Milwaukee Harbor. This estuary is situated in downtown Milwaukee, Wisconsin, and is the most populated basin that flows directly into Lake Michigan. In contrast, the Manitowoc rivermouth has a relatively small harbor separating the rivermouth from Lake Michigan, and the Manitowoc River Watershed is primarily agricultural. Both the Milwaukee and Manitowoc rivermouths are unregulated and allow free exchange of water with Lake Michigan.</p>\n<br/>\n<p>This pilot study of the Milwaukee River Estuary and Manitowoc rivermouth using an autonomous underwater vehicle (AUV) paired with a manned survey boat resulted in high spatial and temporal resolution datasets of basic water-quality parameter distributions and hydrodynamics. The AUV performed well in these environments and was found primarily well-suited for harbor and nearshore surveys of three-dimensional water-quality distributions. Both case studies revealed that the use of a manned boat equipped with an acoustic Doppler current profiler (ADCP) and multiparameter sonde (and an optional flow-through water-quality sampling system) was the best option for riverine surveys. To ensure that the most accurate and highest resolution velocity data were collected concurrently with the AUV surveys, the pilot study used a manned boat equipped with an ADCP. Combining the AUV and manned boat datasets resulted in datasets that are essentially continuous from the fluvial through the lacustrine zones of a rivermouth. Whereas the pilot studies were completed during low flows on the tributaries, completion of surveys at higher flows using the same techniques is possible, but the use of the AUV would be limited to areas with relatively low velocities (less than 2 feet per second) such as the harbors and nearshore zones of Lake Michigan.</p>\n<br/>\n<p>Overall, this pilot study aimed at evaluation of AUV technology for integrated synoptic surveys of rivermouth mixing zones was successful, and the techniques and methods employed in this pilot study should be transferrable to other sites with similar success. The use of the AUV provided significant time savings compared to traditional sampling techniques. For example, the survey of outer Milwaukee Harbor using the AUV required less than 7 hours for approximately 600 profiles compared to the 150 hours it would have taken using traditional methods in a manned boat (a 95 percent reduction in man-hours). The integrated datasets resulting from the AUV and manned survey boat are of high value and present a picture of the mixing and hydrodynamics of these highly dynamic, highly variable rivermouth mixing zones from the relatively well-mixed fluvial environment through the rivermouth to the stratified lacustrine receiving body of Lake Michigan. Such datasets not only allow researchers to understand more about the physical processes occurring in these rivermouths, but they provide high spatial resolution data required for interpretation of relations between disparate point samples and calibration and validation of numerical models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145043","collaboration":"Prepared in cooperation with the National Monitoring Network for U.S. Coastal Waters and Tributaries","usgsCitation":"Jackson, P., and Reneau, P.C., 2014, Integrated synoptic surveys of the hydrodynamics and water-quality distributions in two Lake Michigan rivermouth mixing zones using an autonomous underwater vehicle and a manned boat: U.S. Geological Survey Scientific Investigations Report 2014-5043, vi, 33 p., https://doi.org/10.3133/sir20145043.","productDescription":"vi, 33 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-050916","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":286476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145043.jpg"},{"id":286474,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5043/"},{"id":286475,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5043/pdf/sir2014-5043.pdf"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Kinnickinnic River;Lake Michigan;Manitowoc River;Menomonee River;Milwaukee Harbor;Milwaukee River Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.000152,42.948968 ], [ -88.000152,43.127852 ], [ -87.840638,43.127852 ], [ -87.840638,42.948968 ], [ -88.000152,42.948968 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5356c592e4b03a277fd6afbb","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":491677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70101781,"text":"fs20143037 - 2014 - The 3D Elevation Program: summary for Louisiana","interactions":[],"lastModifiedDate":"2016-08-17T15:42:16","indexId":"fs20143037","displayToPublicDate":"2014-04-21T15:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3037","title":"The 3D Elevation Program: summary for Louisiana","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Louisiana, elevation data are critical for flood risk management, natural resources conservation, agriculture and precision farming, infrastructure and construction management, water supply and quality, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143037","issn":"2327-6932","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Louisiana: U.S. Geological Survey Fact Sheet 2014-3037, 2 p., https://doi.org/10.3133/fs20143037.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052809","costCenters":[{"id":423,"text":"National Geospatial 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":492758,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70100406,"text":"sir20145060 - 2014 - Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013","interactions":[],"lastModifiedDate":"2014-06-16T10:29:28","indexId":"sir20145060","displayToPublicDate":"2014-04-21T15:03:00","publicationYear":"2014","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":"2014-5060","title":"Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013","docAbstract":"Digital flood-inundation maps for a 9-mile (mi) reach of the Mississinewa River from 0.75 mi upstream from the Pennsylvania Street bridge in Marion, Indiana, to 0.2 mi downstream from State Route 15 were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Mississinewa River at Marion (station number 03326500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.\n\nFlood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the current stage-discharge relation at the Mississinewa River streamgage, in combination with water-surface profiles from historic floods and from the current (2002) flood-insurance study for Grant County, Indiana. The hydraulic model was then used to compute seven water-surface profiles for flood stages at 1-fo (ft) intervals referenced to the streamgage datum and ranging from 10 ft, which is near bankfull, to 16 ft, which is between the water levels associated with the estimated 10- and 2-percent annual exceedance probability floods (floods with recurrence interval between 10 and 50 years) and equals the “major flood stage” as defined by the NWS. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging (lidar) data having a 0.98 ft vertical accuracy and 4.9 ft horizontal resolution) to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145060","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Coon, W.F., 2014, Flood-inundation maps for the Mississinewa River at Marion, Indiana, 2013: U.S. Geological Survey Scientific Investigations Report 2014-5060, Report: iv, 13 p.; Downloads Directory, https://doi.org/10.3133/sir20145060.","productDescription":"Report: iv, 13 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050572","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":286466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145060.jpg"},{"id":286464,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5060/pdf/sir2014-5060.pdf"},{"id":286465,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5060/downloads"},{"id":286463,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5060/"}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Marion","otherGeospatial":"Mississinewa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.709947,40.513774 ], [ -85.709947,40.621978 ], [ -85.599546,40.621978 ], [ -85.599546,40.513774 ], [ -85.709947,40.513774 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563defe4b03a277fd6adaa","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492187,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70102275,"text":"70102275 - 2014 - Land use and climate affect Black Tern, Northern Harrier, and Marsh Wren abundance in the Prairie Pothole Region of the United States","interactions":[],"lastModifiedDate":"2014-04-21T14:10:18","indexId":"70102275","displayToPublicDate":"2014-04-21T13:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Land use and climate affect Black Tern, Northern Harrier, and Marsh Wren abundance in the Prairie Pothole Region of the United States","docAbstract":"Bird populations are influenced by many environmental factors at both large and small scales. Our study evaluated the influences of regional climate and land-use variables on the Northern Harrier (Circus cyaneus), Black Tern (Childonias niger), and Marsh Wren (Cistothorus palustris) in the prairie potholes of the upper Midwest of the United States. These species were chosen because their diverse habitat preference represent the spectrum of habitat conditions present in the Prairie Potholes, ranging from open prairies to dense cattail marshes. We evaluated land-use covariates at three logarithmic spatial scales (1,000 ha, 10,000 ha, and 100,000 ha) and constructed models a priori using information from published habitat associations and climatic influences. The strongest influences on the abundance of each of the three species were the percentage of wetland area across all three spatial scales and precipitation in the year preceding that when bird surveys were conducted. Even among scales ranging over three orders of magnitude the influence of spatial scale was small, as models with the same variables expressed at different scales were often in the best model subset. Examination of the effects of large-scale environmental variables on wetland birds elucidated relationships overlooked in many smaller-scale studies, such as the influences of climate and habitat variables at landscape scales. Given the spatial variation in the abundance of our focal species within the prairie potholes, our model predictions are especially useful for targeting locations, such as northeastern South Dakota and central North Dakota, where management and conservation efforts would be optimally beneficial. This modeling approach can also be applied to other species and geographic areas to focus landscape conservation efforts and subsequent small-scale studies, especially in constrained economic climates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-13-019-R1.1","usgsCitation":"Forcey, G.M., Thogmartin, W.E., Linz, G.M., and McKann, P., 2014, Land use and climate affect Black Tern, Northern Harrier, and Marsh Wren abundance in the Prairie Pothole Region of the United States: Condor, v. 116, no. 2, p. 226-241, https://doi.org/10.1650/CONDOR-13-019-R1.1.","productDescription":"16 p.","startPage":"226","endPage":"241","ipdsId":"IP-053697","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":286449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-019-R1.1"}],"country":"United States","state":"Iowa;Minnesota;Montana;Nebraska;North Dakota;South Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.04,41.38 ], [ -110.04,48.86 ], [ -93.56,48.86 ], [ -93.56,41.38 ], [ -110.04,41.38 ] ] ] } } ] }","volume":"116","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df0e4b03a277fd6adb2","contributors":{"authors":[{"text":"Forcey, Greg M.","contributorId":82835,"corporation":false,"usgs":true,"family":"Forcey","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":492865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linz, George M.","contributorId":32859,"corporation":false,"usgs":true,"family":"Linz","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKann, Patrick C.","contributorId":14940,"corporation":false,"usgs":true,"family":"McKann","given":"Patrick C.","affiliations":[],"preferred":false,"id":492866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70098088,"text":"ofr20141054 - 2014 - Delineation of contributing areas to selected wells in Ingham County, Michigan","interactions":[],"lastModifiedDate":"2014-04-21T13:37:52","indexId":"ofr20141054","displayToPublicDate":"2014-04-21T13:33:00","publicationYear":"2014","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":"2014-1054","title":"Delineation of contributing areas to selected wells in Ingham County, Michigan","docAbstract":"A groundwater-flow model that was constructed in 2009 was updated to reflect recent (2011–12) pumping conditions in the Tri-County region, which consists of Clinton, Eaton, and Ingham Counties, Michigan. As part of local wellhead protection area programs, areas contributing water to local production wells must be periodically updated, because groundwater-flow paths depend in part on the stresses, such as groundwater withdrawals, to the groundwater-flow system. For this current (2013) study, withdrawals from selected city of Lansing production wells were updated, and simulated heads and flows under the new pumping conditions compared favorably to previously measured values. Results of flow simulations indicate that 10-year time-of-travel contributing areas cover approximately 19.4 square miles, and 40-year time-of-travel contributing areas cover approximately 39 square miles.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141054","issn":"2331-1258","collaboration":"Prepared in cooperation with the Lansing Board of Water and Light","usgsCitation":"Luukkonen, C.L., 2014, Delineation of contributing areas to selected wells in Ingham County, Michigan: U.S. Geological Survey Open-File Report 2014-1054, iv, 11 p., https://doi.org/10.3133/ofr20141054.","productDescription":"iv, 11 p.","numberOfPages":"20","ipdsId":"IP-053324","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":286448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141054.jpg"},{"id":286446,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1054/"},{"id":286447,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1054/pdf/ofr2014-1054.pdf"}],"country":"United States","state":"Michigan","county":"Ingham County","city":"Lansing","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5202342,35.4018614 ], [ -123.5202342,35.8341227 ], [ -122.3287056,35.8341227 ], [ -122.3287056,35.4018614 ], [ -123.5202342,35.4018614 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563dece4b03a277fd6ada4","contributors":{"authors":[{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491562,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093470,"text":"70093470 - 2014 - Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data","interactions":[],"lastModifiedDate":"2014-04-22T15:39:28","indexId":"70093470","displayToPublicDate":"2014-04-21T10:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data","docAbstract":"Wildfire dramatically alters the hydrologic response of a watershed such that even modest rainstorms can produce hazardous debris flows. Relative to shallow landslides, the primary sources of material and dominant erosional processes that contribute to post-fire debris-flow initiation are poorly constrained. Improving our understanding of how and where material is eroded from a watershed during a post-fire debris-flow requires (1) precise measurements of topographic change to calculate volumetric measurements of erosion and deposition, and (2) the identification of relevant morphometrically defined process domains to spatially constrain these measurements of erosion and deposition. In this study, we combine the morphometric analysis of a steep, small (0.01 km<sup>2</sup>) headwater drainage basin with measurements of topographic change using high-resolution (2.5 cm) multi-temporal terrestrial laser scanning data made before and after a post-fire debris flow. The results of the morphometric analysis are used to define four process domains: hillslope-divergent, hillslope-convergent, transitional, and channelized incision. We determine that hillslope-divergent and hillslope-convergent process domains represent the primary sources of material over the period of analysis in the study basin. From these results we conclude that raindrop-impact induced erosion, ravel, surface wash, and rilling are the primary erosional processes contributing to post-fire debris-flow initiation in the small, steep headwater basin. Further work is needed to determine (1) how these results vary with increasing drainage basin size, (2) how these data might scale upward for use with coarser resolution measurements of topography, and (3) how these results change with evolving sediment supply conditions and vegetation recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2014.02.015","usgsCitation":"Staley, D.M., Waslewicz, T.A., and Kean, J.W., 2014, Characterizing the primary material sources and dominant erosional processes for post-fire debris-flow initiation in a headwater basin using multi-temporal terrestrial laser scanning data: Geomorphology, v. 214, p. 324-338, https://doi.org/10.1016/j.geomorph.2014.02.015.","productDescription":"15 p.","startPage":"324","endPage":"338","ipdsId":"IP-054062","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":286522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286521,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2014.02.015"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"San Gabriel Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.4,34.2 ], [ -118.4,34.46 ], [ -117.86,34.46 ], [ -117.86,34.2 ], [ -118.4,34.2 ] ] ] } } ] }","volume":"214","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578f62e4b0938066bc81c0","chorus":{"doi":"10.1016/j.geomorph.2014.02.015","url":"http://dx.doi.org/10.1016/j.geomorph.2014.02.015","publisher":"Elsevier BV","authors":"Staley Dennis M., Wasklewicz Thad A., Kean Jason W.","journalName":"Geomorphology","publicationDate":"6/2014","auditedOn":"11/6/2014"},"contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":490022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waslewicz, Thad A.","contributorId":30913,"corporation":false,"usgs":true,"family":"Waslewicz","given":"Thad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":490021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099225,"text":"ofr20141053 - 2014 - Geologic field notes and geochemical analyses of outcrop and drill core from Mesoproterozoic rocks and iron-oxide deposits and prospects of southeast Missouri","interactions":[],"lastModifiedDate":"2014-04-21T09:17:42","indexId":"ofr20141053","displayToPublicDate":"2014-04-21T09:13:00","publicationYear":"2014","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":"2014-1053","title":"Geologic field notes and geochemical analyses of outcrop and drill core from Mesoproterozoic rocks and iron-oxide deposits and prospects of southeast Missouri","docAbstract":"The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources/Missouri Geological Survey, undertook a study from 1988 to 1994 on the iron-oxide deposits and their host Mesoproterozoic igneous rocks in southeastern Missouri. The project resulted in an improvement of our understanding of the geologic setting, mode of formation, and the composition of many of the known deposits and prospects and the associated rocks of the St. Francois terrane in Missouri. The goal for this earlier work was to allow the comparison of Missouri iron-oxide deposits in context with other iron oxide-copper ± uranium (IOCG) types of mineral deposits observed globally. The raw geochemical analyses were released originally through the USGS National Geochemical Database (NGDB, http://mrdata.usgs.gov). The data presented herein offers all of the field notes, locations, rock descriptions, and geochemical analyses in a coherent package to facilitate new research efforts in IOCG deposit types. The data are provided in both Microsoft Excel (Version Office 2010) spreadsheet format (*.xlsx) and MS-DOS text formats (*.txt) for ease of use by numerous computer programs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141053","issn":"2331-1258","usgsCitation":"Day, W.C., and Granitto, M., 2014, Geologic field notes and geochemical analyses of outcrop and drill core from Mesoproterozoic rocks and iron-oxide deposits and prospects of southeast Missouri: U.S. Geological Survey Open-File Report 2014-1053, Report: iv, 7 p.; Downloads Directory, https://doi.org/10.3133/ofr20141053.","productDescription":"Report: iv, 7 p.; Downloads Directory","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-051805","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":286441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141053.jpg"},{"id":286431,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1053/"},{"id":286439,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1053/pdf/ofr2014-1053.pdf"},{"id":286440,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1053/downloads/"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.0721,35.9957 ], [ -93.0721,38.3586 ], [ -89.1045,38.3586 ], [ -89.1045,35.9957 ], [ -93.0721,35.9957 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df0e4b03a277fd6adac","contributors":{"authors":[{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":491869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":491868,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073971,"text":"sir20145003 - 2014 - Three-dimensional geologic mapping of the Cenozoic basin fill, Amargosa Desert basin, Nevada and California","interactions":[],"lastModifiedDate":"2014-04-22T08:20:08","indexId":"sir20145003","displayToPublicDate":"2014-04-21T08:43:00","publicationYear":"2014","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":"2014-5003","title":"Three-dimensional geologic mapping of the Cenozoic basin fill, Amargosa Desert basin, Nevada and California","docAbstract":"Understanding the subsurface geologic framework of the Cenozoic basin fill that underlies the Amargosa Desert in southern Nevada and southeastern California has been improved by using borehole data to construct three-dimensional lithologic and interpreted facies models. Lithologic data from 210 boreholes from a 20-kilometer (km) by 90-km area were reduced to a limited suite of descriptors based on geologic knowledge of the basin and distributed in three-dimensional space using interpolation methods. The resulting lithologic model of the Amargosa Desert basin portrays a complex system of interfingered coarse- to fine-grained alluvium, playa and palustrine deposits, eolian sands, and interbedded volcanic units. Lithologic units could not be represented in the model as a stacked stratigraphic sequence due to the complex interfingering of lithologic units and the absence of available time-stratigraphic markers. Instead, lithologic units were grouped into interpreted genetic classes, such as playa or alluvial fan, to create a three-dimensional model of the interpreted facies data. Three-dimensional facies models computed from these data portray the alluvial infilling of a tectonically formed basin with intermittent internal drainage and localized regional groundwater discharge. The lithologic and interpreted facies models compare favorably to resistivity, aeromagnetic, and geologic map data, lending confidence to the interpretation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145003","usgsCitation":"Taylor, E.M., and Sweetkind, D., 2014, Three-dimensional geologic mapping of the Cenozoic basin fill, Amargosa Desert basin, Nevada and California: U.S. Geological Survey Scientific Investigations Report 2014-5003, Report: v, 40 p.; Appendix 1: 1 XLS file; Appendix 2: XLS file, https://doi.org/10.3133/sir20145003.","productDescription":"Report: v, 40 p.; Appendix 1: 1 XLS file; Appendix 2: XLS file","additionalOnlineFiles":"Y","ipdsId":"IP-049168","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":286442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145003.jpg"},{"id":286432,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5003/"},{"id":286433,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5003/pdf/sir2014-5003.pdf"},{"id":286434,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5003/downloads/Appendix1.xlsx"},{"id":286435,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5003/downloads/Appendix2.xlsx"}],"scale":"100000","projection":"Universal Transverse Mercator, Zone 11","datum":"North American Datum of 1927","country":"United States","state":"California;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.904187,36.223539 ], [ -116.904187,36.793477 ], [ -116.067209,36.793477 ], [ -116.067209,36.223539 ], [ -116.904187,36.223539 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adc0","contributors":{"authors":[{"text":"Taylor, Emily M. 0000-0003-1152-5761 emtaylor@usgs.gov","orcid":"https://orcid.org/0000-0003-1152-5761","contributorId":1240,"corporation":false,"usgs":true,"family":"Taylor","given":"Emily","email":"emtaylor@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":489308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":489309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70096275,"text":"ds830 - 2014 - Gravity, magnetic, and radiometric data for Newberry Volcano, Oregon, and vicinity","interactions":[],"lastModifiedDate":"2019-03-15T10:33:40","indexId":"ds830","displayToPublicDate":"2014-04-18T14:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"830","title":"Gravity, magnetic, and radiometric data for Newberry Volcano, Oregon, and vicinity","docAbstract":"<p>Newberry Volcano in central Oregon is a 3,100-square-kilometer (1,200-square-mile) shield-shaped composite volcano, occupying a location east of the main north-south trend of the High Cascades volcanoes and forming a transition between the High Lava Plains subprovince of the Basin and Range Province to the east and the Cascade Range to the west. Magnetic, gravity, and radiometric data have been gathered and assessed for the region around the volcano. These data have widely varying quality and resolution, even within a given dataset, and these limitations are evaluated and described in this release.</p><p>Publicly available gravity data in general are too sparse to permit detailed modeling except along a few roads with high-density coverage. Likewise, magnetic data are also unsuitable for all but very local modeling, primarily because available data consist of a patchwork of datasets with widely varying line-spacing. Gravity data show only the broadest correlation with mapped geology, whereas magnetic data show moderate correlation with features only in the vicinity of Newberry Caldera. At large scales, magnetic data correlate poorly with both geologic mapping and gravity data. These poor correlations are largely due to the different sensing depths of the two potential fields methods, which respond to physical properties deeper than the surficial geology. Magnetic data derive from rocks no deeper than the Curie-point isotherm depth (10 to 15 kilometers, km, maximum), whereas gravity data reflect density-contrasts to 100 to 150 km depths. Radiometric data from the National Uranium Resource Evaluation (NURE) surveys of the 1980s have perhaps the coarsest line-spacing of all (as much as 10 km between lines) and are extremely “noisy” for several reasons inherent to this kind of data. Despite its shallow-sensing character, only a few larger anomalies in the NURE data correlate well with geologic mapping.</p><p>The purpose of this data series release is to collect and place the available geophysical data in the hands of other investigators in a readily comprehensible form. All data-compilation, splicing, filtering, and overlay-map displays were accomplished with the commercial Geosoft™ system, Advanced Option. Images are provided in both JPG and PDF formats.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds830","issn":"2327-638X","usgsCitation":"Wynn, J., 2014, Gravity, magnetic, and radiometric data for Newberry Volcano, Oregon, and vicinity: U.S. Geological Survey Data Series 830, HTML Document, https://doi.org/10.3133/ds830.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-042975","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":286430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds830.jpg"},{"id":283897,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0830/"},{"id":286429,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0830/COVER2.html"}],"country":"United States","state":"Oregon","otherGeospatial":"Newberry Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,42.0 ], [ -122.5,45.0 ], [ -118.0,45.0 ], [ -118.0,42.0 ], [ -122.5,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53523b52e4b0198343cffa77","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491500,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70098937,"text":"sir20135242 - 2014 - Geologic and hydrogeologic characteristics of the Ogallala Formation and White River Group, Belvoir Ranch near Cheyenne, Laramie County, Wyoming","interactions":[],"lastModifiedDate":"2014-04-17T15:54:52","indexId":"sir20135242","displayToPublicDate":"2014-04-17T15:37:00","publicationYear":"2014","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":"2013-5242","title":"Geologic and hydrogeologic characteristics of the Ogallala Formation and White River Group, Belvoir Ranch near Cheyenne, Laramie County, Wyoming","docAbstract":"<p>The geologic and hydrogeologic characteristics of Tertiary lithostratigraphic units (Ogallala Formation and White River Group) that typically compose or underlie the High Plains aquifer system in southeastern Wyoming were described physically and chemically, and evaluated at a location on the Belvoir Ranch in Laramie County, Wyoming. On the basis of this characterization and evaluation, three Tertiary lithostratigraphic units were identified using physical and chemical characteristics determined during this study and previous studies, and these three units were determined to be correlative with three identified hydrogeologic units composing the groundwater system at the study site—a high-yielding aquifer composed of the entire saturated thickness of the heterogeneous and coarse-grained fluvial sediments assigned to the Ogallala Formation (Ogallala aquifer); an underlying confining unit composed primarily of very fine-grained volcaniclastic sediments and mudrocks assigned to the Brule Formation of the White River Group and some additional underlying sediments that belong to either the Brule or Chadron Formation, or both (Brule confining unit); and an underlying low-yielding aquifer composed primarily of poorly sorted fluvial sediments assigned to the Chadron Formation of the White River Group (Chadron aquifer).</p>\n<br/>\n<p>Despite widely varying sediment heterogeneity and consolidation, some limited hydraulic connection throughout the full vertical extent of the Ogallala aquifer was indicated but not conclusively proven by interpretation of similar chemical and isotopic characteristics, modern apparent groundwater ages, and similar hydraulic-head responses measured continuously in two Ogallala aquifer monitoring wells installed for this study at two different widely separated (83 feet) depth intervals. Additional work beyond the scope of this study, such as aquifer tests, would be required to conclusively determine hydraulic connection within the Ogallala aquifer.</p>\n<br/>\n<p>Groundwater levels (hydraulic heads) measured continuously using water-level recorders in both monitoring wells completed in the Ogallala aquifer showed a consistent strong upward vertical gradient in the Ogallala aquifer, indicating the potential for water to move from deeper to shallower parts of the aquifer, regardless of the time of year and the presumed effects of pumping of public-supply and industrial wells in the area. Continuous measurement of groundwater levels in the shallowest monitoring well, installed near the water table, and examination of subsequently constructed water-level hydrographs indicated substantial groundwater recharge is likely during the spring of 2009 and 2010 from the ephemeral stream (Lone Tree Creek) located adjacent to the study site that flows primarily in response to spring snowmelt from the adjacent Laramie Mountains and surface runoff from precipitation events. Using the water-table fluctuation method, groundwater recharge was estimated to be about 13 inches for the period beginning in early October 2009 and ending in late June 2010, and about 4 inches for the period beginning in March 2011 and ending in early July 2011. Comparison of previously measured groundwater levels (hydraulic heads) and groundwater-quality characteristics in nearby monitoring wells completed in the Chadron aquifer with those measured in the two monitoring wells installed for this study in the Ogallala aquifer, combined with detailed lithologic characterization, strongly indicated the Brule confining unit hydraulically confines and isolates the Chadron aquifer from the overlying Ogallala aquifer, thus likely limiting hydraulic connection between the two units. Consequently, because of the impermeable nature of the Brule confining unit and resulting hydraulic separation of the Ogallala and Chadron aquifers, and compared with local and regional hydrostratigraphic definitions of the High Plains aquifer system, the groundwater system in Tertiary lithostratigraphic units overlying the Upper Cretaceous Lance Formation at the location studied on the Belvoir Ranch was defined as being composed of, from shallowest to deepest, the High Plains aquifer system (high-yielding Ogallala aquifer only, composed of the saturated Ogallala Formation); the Brule confining unit composed of the Brule Formation of the White River Group and an underlying fine-grained depth interval with sediments that belong to either the Brule or Chadron Formation, or both; and the low-yielding Chadron aquifer (composed of poorly sorted coarse-grained sediments with substantial fine-grained matrix material assigned to the Chadron Formation of the White River Group).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135242","collaboration":"Prepared in cooperation with the Wyoming State Engineer’s Office","usgsCitation":"Bartos, T.T., Diehl, S.F., Hallberg, L.L., and Webster, D.M., 2014, Geologic and hydrogeologic characteristics of the Ogallala Formation and White River Group, Belvoir Ranch near Cheyenne, Laramie County, Wyoming: U.S. Geological Survey Scientific Investigations Report 2013-5242, Report: xiv, 100 p.; Plate: 48.0 x 62.0 inches, https://doi.org/10.3133/sir20135242.","productDescription":"Report: xiv, 100 p.; Plate: 48.0 x 62.0 inches","numberOfPages":"120","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-051473","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":286409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135242.jpg"},{"id":286406,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5242/"},{"id":286408,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5242/downloads/sir2014-5232_plate1.pdf"},{"id":286407,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5242/pdf/sir2013-5242.pdf"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Laramie County","otherGeospatial":"Belvoir Ranch","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5883,40.9732 ], [ -105.5883,41.7182 ], [ -104.022,41.7182 ], [ -104.022,40.9732 ], [ -105.5883,40.9732 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d2e4b05569d805572f","contributors":{"authors":[{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":491752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, Sharon F. diehl@usgs.gov","contributorId":1089,"corporation":false,"usgs":true,"family":"Diehl","given":"Sharon","email":"diehl@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":491750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallberg, Laura L. 0000-0001-9983-8003 lhallber@usgs.gov","orcid":"https://orcid.org/0000-0001-9983-8003","contributorId":1825,"corporation":false,"usgs":true,"family":"Hallberg","given":"Laura","email":"lhallber@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webster, Daniel M. webster@usgs.gov","contributorId":3529,"corporation":false,"usgs":true,"family":"Webster","given":"Daniel","email":"webster@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":491753,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70101782,"text":"fs20143036 - 2014 - The 3D Elevation Program: summary for North Dakota","interactions":[],"lastModifiedDate":"2016-08-17T15:43:54","indexId":"fs20143036","displayToPublicDate":"2014-04-17T14:05:37","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3036","title":"The 3D Elevation Program: summary for North Dakota","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of North Dakota, elevation data are critical for agriculture and precision farming, natural resources conservation, water supply and quality, infrastructure and construction management, flood risk management, geologic resource assessment and hazard mitigation, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios.The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143036","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for North Dakota: U.S. Geological Survey Fact Sheet 2014-3036, 2 p., https://doi.org/10.3133/fs20143036.","productDescription":"2 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,{"id":70095728,"text":"tm7C11 - 2014 - fatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time","interactions":[],"lastModifiedDate":"2024-03-04T20:03:47.379694","indexId":"tm7C11","displayToPublicDate":"2014-04-17T13:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C11","title":"fatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time","docAbstract":"Many industrial and agricultural activities involve wildlife fatalities by collision, poisoning or other involuntary harvest: wind turbines, highway network, utility network, tall structures, pesticides, etc. Impacted wildlife may benefit from official protection, including the requirement to monitor the impact. Carcass counts can often be conducted to quantify the number of fatalities, but they need to be corrected for carcass persistence time (removal by scavengers and decay) and detection probability (searcher efficiency). In this article we introduce a new piece of software that fits a superpopulation capture-recapture model to raw count data. It uses trial data to estimate detection and daily persistence probabilities. A recurrent issue is that fatalities of rare, protected species are infrequent, in which case the software offers the option to switch to an ‘evidence of absence’ mode, i.e., estimate the number of carcasses that may have been missed by field crews. The software allows distinguishing between different turbine types (e.g. different vegetation cover under turbines, or different technical properties), as well between two carcass age-classes or states, with transition between those classes (e.g, fresh and dry). There is a data simulation capacity that may be used at the planning stage to optimize sampling design. Resulting mortality estimates can be used 1) to quantify the required amount of compensation, 2) inform mortality projections for proposed development sites, and 3) inform decisions about management of existing sites.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C11","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Peron, G., and Hines, J., 2014, fatalityCMR: capture-recapture software to correct raw counts of wildlife fatalities using trial experiments for carcass detection probability and persistence time: U.S. Geological Survey Techniques and Methods 7-C11, iv, 14 p., https://doi.org/10.3133/tm7C11.","productDescription":"iv, 14 p.","onlineOnly":"Y","ipdsId":"IP-050478","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286402,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm7c11.jpg"},{"id":286400,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/07/c11/"},{"id":286401,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c11/pdf/tm7-c11.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5350e9d5e4b05569d805573b","contributors":{"authors":[{"text":"Peron, Guillaume","contributorId":64569,"corporation":false,"usgs":true,"family":"Peron","given":"Guillaume","email":"","affiliations":[],"preferred":false,"id":491411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":491410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200747,"text":"70200747 - 2014 - Time causal operational estimation of electric fields induced in the Earth's lithosphere during magnetic storms","interactions":[],"lastModifiedDate":"2018-10-30T15:34:28","indexId":"70200747","displayToPublicDate":"2014-04-16T15:34:19","publicationYear":"2014","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}},"title":"Time causal operational estimation of electric fields induced in the Earth's lithosphere during magnetic storms","docAbstract":"<p><span>In support of projects for monitoring geomagnetic hazards for electric power grids, we develop a simple mathematical formalism, consistent with the time causality of deterministic physics, for estimating electric fields that are induced in the Earth's lithosphere during magnetic storms. For an idealized model of the lithosphere, an infinite half‐space having uniform electrical conductivity properties described by a galvanic tensor, we work in the Laplace‐transformed frequency domain to obtain a transfer function which, when convolved with measured magnetic field time series, gives an estimated electric field time series. Using data collected at the Kakioka, Japan observatory, we optimize lithospheric conductivity parameters by minimizing the discrepancy between model‐estimated electric field variation and that actually measured. With our simple model, we can estimate 87% of the variance in storm time Kakioka electric field data; a more complicated model of lithospheric conductivity would be required to estimate the remaining 13% of the variance. We discuss how our estimation formalism might be implemented for geographically coordinated real‐time monitoring of geoelectric fields.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2014GL059568","usgsCitation":"Love, J.J., and Swidinsky, A., 2014, Time causal operational estimation of electric fields induced in the Earth's lithosphere during magnetic storms: Geophysical Research Letters, v. 41, no. 7, p. 2266-2274, https://doi.org/10.1002/2014GL059568.","productDescription":"9 p.","startPage":"2266","endPage":"2274","ipdsId":"IP-055819","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059568","text":"Publisher Index Page"},{"id":358985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-04-15","publicationStatus":"PW","scienceBaseUri":"5c10b697e4b034bf6a7ebea0","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swidinsky, Andrei","contributorId":146924,"corporation":false,"usgs":false,"family":"Swidinsky","given":"Andrei","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":750349,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70101770,"text":"ofr20141075 - 2014 - The Pacific Islands Climate Science Center five-year science agenda, 2014-2018","interactions":[],"lastModifiedDate":"2014-04-16T15:16:58","indexId":"ofr20141075","displayToPublicDate":"2014-04-16T06:26:00","publicationYear":"2014","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":"2014-1075","title":"The Pacific Islands Climate Science Center five-year science agenda, 2014-2018","docAbstract":"<p>From the heights of Mauna Kea on Hawaiʻi Island to the depths of the Mariana Trench, from densely populated cities to sparse rural indigenous communities and uninhabited sandy atolls, the Pacific region encompasses diverse associations of peoples and places that are directly affected by changes to the atmosphere, ocean, and land. The peoples of the Pacific are among the first to observe and experience the effects of global climatic changes.</p>\n<br/>\n<p>Because the Pacific region is predominantly composed of vast ocean expanses punctuated only by small, isolated emergent islands and atolls, marine processes are critical factors in the region’s climate systems, and their impacts occur here to a greater degree than in continental regions. Rates of sea-level rise in the region during the modern altimetry period exceed the global rate, with the highest increases occurring in the western North Pacific (Cazenave and Llovel, 2010; Nerem and others, 2010; Timmermann and others, 2010). The ocean has also warmed during this period. Since the 1970s, sea-surface temperature has increased at a rate of 0.13 to 0.41 °F (0.07 to 0.23 °C) per decade, depending on the location (Keener and others, 2012a). Ocean chemistry has changed during this period as well, with surface pH having dropped by 0.1 pH units (Feely and others, 2009; Doney and others, 2012).</p>\n<br/>\n<p>Over the past century, air temperature has increased throughout the Pacific region. In Hawaiʻi, average temperatures increased by 0.08 °F per decade during the period 1919 to 2006, and in recent years, the rate of increase has been accelerating, particularly at high elevations (Giambelluca and others, 2008). In the western North Pacific, temperatures also increased over the past 60 years (Lander and Guard, 2003; Lander, 2004; Lander and Khosrowpanah, 2004; Kruk and others, 2013), with a concurrent warming trend in the central South Pacific since the 1950s (Australian Bureau of Meteorology and CSIRO, 2011).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141075","usgsCitation":"Helweg, D., Nash, S.A., and Polhemus, D.A., 2014, The Pacific Islands Climate Science Center five-year science agenda, 2014-2018: U.S. Geological Survey Open-File Report 2014-1075, iv, 30 p., https://doi.org/10.3133/ofr20141075.","productDescription":"iv, 30 p.","onlineOnly":"Y","ipdsId":"IP-055295","costCenters":[{"id":522,"text":"Pacific Islands Climate Science Center","active":true,"usgs":true}],"links":[{"id":286379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141075.jpg"},{"id":286374,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1075/"},{"id":286378,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1075/pdf/ofr2014-1075.pdf"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 157.8,5.5 ], [ 157.8,34.1 ], [ -155.0,34.1 ], [ -155.0,5.5 ], [ 157.8,5.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517068e4b05569d805a3f2","contributors":{"authors":[{"text":"Helweg, David dhelweg@usgs.gov","contributorId":201,"corporation":false,"usgs":true,"family":"Helweg","given":"David","email":"dhelweg@usgs.gov","affiliations":[{"id":522,"text":"Pacific Islands Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":492738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nash, Sarah A.B.","contributorId":6370,"corporation":false,"usgs":true,"family":"Nash","given":"Sarah","email":"","middleInitial":"A.B.","affiliations":[],"preferred":false,"id":492739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polhemus, Dan A.","contributorId":41335,"corporation":false,"usgs":true,"family":"Polhemus","given":"Dan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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