{"pageNumber":"615","pageRowStart":"15350","pageSize":"25","recordCount":40828,"records":[{"id":70173736,"text":"70173736 - 2014 - Effect of passive acoustic sampling methodology on detecting bats after declines from white nose syndrome","interactions":[],"lastModifiedDate":"2016-06-20T11:18:05","indexId":"70173736","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5085,"text":"Journal of Ecology and the Natural Environment","active":true,"publicationSubtype":{"id":10}},"title":"Effect of passive acoustic sampling methodology on detecting bats after declines from white nose syndrome","docAbstract":"<p><span>Concomitant with the emergence and spread of white-nose syndrome (WNS) and precipitous decline of many bat species in North America, natural resource managers need modified and/or new techniques for bat inventory and monitoring that provide robust occupancy estimates. We used Anabat acoustic detectors to determine the most efficient passive acoustic sampling design for optimizing detection probabilities of multiple bat species in a WNS-impacted environment in New York, USA. Our sampling protocol included: six acoustic stations deployed for the entire duration of monitoring as well as a 4 x 4 grid and five transects of 5-10 acoustic units that were deployed for 6-8 night sample durations surveyed during the summers of 2011-2012. We used Program PRESENCE to determine detection probability and site occupancy estimates. Overall, the grid produced the highest detection probabilities for most species because it contained the most detectors and intercepted the greatest spatial area. However, big brown bats (</span><i>Eptesicus fuscus</i><span>) and species not impacted by WNS were detected easily regardless of sampling array. Endangered Indiana (</span><i>Myotis sodalis</i><span>) and little brown (</span><i>Myotis lucifugus</i><span>) and tri-colored bats (</span><i>Perimyotis subflavus</i><span>) showed declines in detection probabilities over our study, potentially indicative of continued WNS-associated declines. Identification of species presence through efficient methodologies is vital for future conservation efforts as bat populations decline further due to WNS and other factors. &nbsp;&nbsp;</span></p>","language":"English","publisher":"Academic Journals","doi":"10.5897/JENE2013.0424","usgsCitation":"Coleman, L.S., Ford, W.M., Dobony, C.A., and Britzke, E.R., 2014, Effect of passive acoustic sampling methodology on detecting bats after declines from white nose syndrome: Journal of Ecology and the Natural Environment, v. 6, no. 2, p. 56-64, https://doi.org/10.5897/JENE2013.0424.","productDescription":"9 p.","startPage":"56","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052491","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5897/jene2013.0424","text":"Publisher Index Page"},{"id":323985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-28","publicationStatus":"PW","scienceBaseUri":"576913b6e4b07657d19ff027","contributors":{"authors":[{"text":"Coleman, Laci S.","contributorId":171672,"corporation":false,"usgs":false,"family":"Coleman","given":"Laci","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":638028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobony, Christopher A.","contributorId":171455,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176295,"text":"70176295 - 2014 - Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2017-02-08T14:08:09","indexId":"70176295","displayToPublicDate":"2014-02-01T00:00:00","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":"Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico","docAbstract":"<p><span>Distributions of woody vegetation on floodplain surfaces affect flood-flow erosion and deposition processes. A large flood along the lower Rio Puerco, New Mexico, in August 2006 caused extensive erosion in a reach that had been sprayed with herbicide in September 2003 for the purpose of saltcedar (</span><i>Tamarix</i><span> spp.) control. Large volumes of sediment, including a substantial fraction of sand, were delivered to the reach downstream, which had not been treated with herbicide. We applied physically based, one-dimensional models of flow and suspended-sediment transport to compute volume concentrations of sand in suspension in floodplain flow at a site within the sprayed reach and at a site downstream from the sprayed reach. We computed the effects of drag on woody stems in reducing the skin friction shear stress, velocity of flow, and suspended-sand transport from open paths into patches of dense stems. Total flow and suspended-sand fluxes were computed for each site using well-constrained flood-flow depths, water-surface slopes, and measured shrub characteristics. Results show that flow in open paths carried high concentrations of sand in suspension with nearly uniform vertical distributions. Drag on woody floodplain stems reduced skin friction shear stresses by two orders of magnitude, yet sufficient velocities were maintained to transport sand more than 50&nbsp;m into fields of dense, free-surface-penetrating stems. An increase in shrub canopy extent from 31% in the sprayed reach site to 49% in the downstream site was found to account for 69% of the computed decrease in discharge between the two sites. The results demonstrate the need to compute the spatial distribution of skin friction shear stress in order to effectively compute suspended-sand transport and to predict the fate of sediment and contaminants carried in suspension during large floods.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2013.10.025","usgsCitation":"Griffin, E.R., Perignon, M.C., Friedman, J.M., and Tucker, G., 2014, Effects of woody vegetation on overbank sand transport during a large flood, Rio Puerco, New Mexico: Geomorphology, v. 207, p. 30-50, https://doi.org/10.1016/j.geomorph.2013.10.025.","productDescription":"21 p.","startPage":"30","endPage":"50","ipdsId":"IP-044985","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335013,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72N50CM","text":"Lower Rio Puerco geospatial data, 1935 - 2014"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco","volume":"207","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d13a3ae4b0571647cf8dcd","contributors":{"authors":[{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perignon, Mariela C.","contributorId":174409,"corporation":false,"usgs":false,"family":"Perignon","given":"Mariela","email":"","middleInitial":"C.","affiliations":[{"id":27450,"text":"CIRES, UC Boulder","active":true,"usgs":false}],"preferred":false,"id":648290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Gregory E.","contributorId":39280,"corporation":false,"usgs":true,"family":"Tucker","given":"Gregory E.","affiliations":[],"preferred":false,"id":648244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144299,"text":"70144299 - 2014 - Quantifying the predictive consequences of model error with linear subspace analysis","interactions":[],"lastModifiedDate":"2015-03-27T10:38:04","indexId":"70144299","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the predictive consequences of model error with linear subspace analysis","docAbstract":"<p><span>All computer models are simplified and imperfect simulators of complex natural systems. The discrepancy arising from simplification induces bias in model predictions, which may be amplified by the process of model calibration. This paper presents a new method to identify and quantify the predictive consequences of calibrating a simplified computer model. The method is based on linear theory, and it scales efficiently to the large numbers of parameters and observations characteristic of groundwater and petroleum reservoir models. The method is applied to a range of predictions made with a synthetic integrated surface-water/groundwater model with thousands of parameters. Several different observation processing strategies and parameterization/regularization approaches are examined in detail, including use of the Karhunen-Lo&egrave;ve parameter transformation. Predictive bias arising from model error is shown to be prediction specific and often invisible to the modeler. The amount of calibration-induced bias is influenced by several factors, including how expert knowledge is applied in the design of parameterization schemes, the number of parameters adjusted during calibration, how observations and model-generated counterparts are processed, and the level of fit with observations achieved through calibration. Failure to properly implement any of these factors in a prediction-specific manner may increase the potential for predictive bias in ways that are not visible to the calibration and uncertainty analysis process.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2013WR014767","usgsCitation":"White, J., Doherty, J.E., and Hughes, J.D., 2014, Quantifying the predictive consequences of model error with linear subspace analysis: Water Resources Research, v. 50, no. 2, p. 1152-1173, https://doi.org/10.1002/2013WR014767.","productDescription":"22 p.","startPage":"1152","endPage":"1173","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051515","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":473198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr014767","text":"Publisher Index Page"},{"id":299024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-14","publicationStatus":"PW","scienceBaseUri":"55167f36e4b0323842781b0e","contributors":{"authors":[{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":543460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":543461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":543462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189780,"text":"70189780 - 2014 - Maximum magnitude earthquakes induced by fluid injection","interactions":[],"lastModifiedDate":"2017-07-26T11:07:34","indexId":"70189780","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Maximum magnitude earthquakes induced by fluid injection","docAbstract":"<p><span>Analysis of numerous case histories of earthquake sequences induced by fluid injection at depth reveals that the maximum magnitude appears to be limited according to the total volume of fluid injected. Similarly, the maximum seismic moment seems to have an upper bound proportional to the total volume of injected fluid. Activities involving fluid injection include (1) hydraulic fracturing of shale formations or coal seams to extract gas and oil, (2) disposal of wastewater from these gas and oil activities by injection into deep aquifers, and (3) the development of enhanced geothermal systems by injecting water into hot, low-permeability rock. Of these three operations, wastewater disposal is observed to be associated with the largest earthquakes, with maximum magnitudes sometimes exceeding 5. To estimate the maximum earthquake that could be induced by a given fluid injection project, the rock mass is assumed to be fully saturated, brittle, to respond to injection with a sequence of earthquakes localized to the region weakened by the pore pressure increase of the injection operation and to have a Gutenberg-Richter magnitude distribution with a&nbsp;</span><i>b</i><span><span>&nbsp;</span>value of 1. If these assumptions correctly describe the circumstances of the largest earthquake, then the maximum seismic moment is limited to the volume of injected liquid times the modulus of rigidity. Observations from the available case histories of earthquakes induced by fluid injection are consistent with this bound on seismic moment. In view of the uncertainties in this analysis, however, this should not be regarded as an absolute physical limit.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2013JB010597","usgsCitation":"McGarr, A.F., 2014, Maximum magnitude earthquakes induced by fluid injection: Journal of Geophysical Research B: Solid Earth, v. 119, no. 2, p. 1008-1019, https://doi.org/10.1002/2013JB010597.","productDescription":"12 p.","startPage":"1008","endPage":"1019","ipdsId":"IP-053945","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010597","text":"Publisher Index Page"},{"id":344323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-04","publicationStatus":"PW","scienceBaseUri":"5979aa57e4b0ec1a488b8c37","contributors":{"authors":[{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706324,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187385,"text":"70187385 - 2014 - Disease and predation: Sorting out causes of a bighorn sheep (<i>Ovis canadensis</i>) decline","interactions":[],"lastModifiedDate":"2017-05-01T12:43:40","indexId":"70187385","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Disease and predation: Sorting out causes of a bighorn sheep (<i>Ovis canadensis</i>) decline","docAbstract":"<p><span>Estimating survival and documenting causes and timing of mortality events in neonate bighorn sheep (</span><i>Ovis canadensis</i><span>) improves understanding of population ecology and factors influencing recruitment. During 2010–2012, we captured and radiocollared 74 neonates in the Black Hills, South Dakota, of which 95% (70) died before 52 weeks of age. Pneumonia (36%) was the leading cause of mortality followed by predation (30%). We used known fate analysis in Program MARK to estimate weekly survival rates and investigate the influence of intrinsic variables on 52-week survival. Model {S</span><sub>1 wk, 2–8 wks, &gt;8 wks</sub><span>} had the lowest AIC</span><i><sub>c</sub></i><span> (Akaike’s Information Criterion corrected for small sample size) value, indicating that age (3-stage age-interval: 1 week, 2–8 weeks, and &gt;8 weeks) best explained survival. Weekly survival estimates for 1 week, 2–8 weeks, and &gt;8 weeks were 0.81 (95% CI = 0.70–0.88), 0.86 (95% CI = 0.81–0.90), and 0.94 (95% CI = 0.91–0.96), respectively. Overall probability of surviving 52 weeks was 0.02 (95% CI = 0.01–0.07). Of 70 documented mortalities, 21% occurred during the first week, 55% during weeks 2–8, and 23% occurred &gt;8 weeks of age. We found pneumonia and predation were temporally heterogeneous with lambs most susceptible to predation during the first 2–3 weeks of life, while the greatest risk from pneumonia occurred from weeks 4–8. Our results indicated pneumonia was the major factor limiting recruitment followed by predation. Mortality from predation may have been partly compensatory to pneumonia and its effects were less pronounced as alternative prey became available. Given the high rates of pneumonia-caused mortality we observed, and the apparent lack of pneumonia-causing pathogens in bighorn populations in the western Black Hills, management activities should be geared towards eliminating contact between diseased and healthy populations.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0088271","usgsCitation":"Smith, J.B., Jenks, J., Grovenburg, T.W., and Klaver, R.W., 2014, Disease and predation: Sorting out causes of a bighorn sheep (<i>Ovis canadensis</i>) decline: PLoS ONE, v. 9, no. 2, p. 1-9, https://doi.org/10.1371/journal.pone.0088271.","productDescription":"e88271; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-051866","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473197,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0088271","text":"Publisher Index Page"},{"id":340672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Black Hills","volume":"9","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"59084933e4b0fc4e448ffd86","contributors":{"authors":[{"text":"Smith, Joshua B.","contributorId":71883,"corporation":false,"usgs":true,"family":"Smith","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":693755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grovenburg, Troy W.","contributorId":57712,"corporation":false,"usgs":true,"family":"Grovenburg","given":"Troy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":693756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693722,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186678,"text":"70186678 - 2014 - Mineral resource of the month: Iron and steel","interactions":[],"lastModifiedDate":"2017-04-07T10:07:43","indexId":"70186678","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Iron and steel","docAbstract":"<p><span>Iron is one of the most abundant elements on Earth, but it does not occur in nature in a useful metallic form. Although ancient people may have recovered some iron from meteorites, it wasn’t until smelting was invented that iron metal could be derived from iron oxides. After the beginning of the Iron Age in about 1200 B.C., knowledge of iron- and steelmaking spread from the ancient Middle East through Greece to the Roman Empire, then to Europe and, in the early 17th century, to North America. The first successful furnace in North America began operating in 1646 in what is now Saugus, Mass. Introduction of the Bessemer converter in the mid-19th century made the modern steel age possible.</span></p>","language":"English","publisher":"AGI","usgsCitation":"Fenton, M.D., 2014, Mineral resource of the month: Iron and steel: Earth, v. February 2014, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-052427","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339386,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-iron-and-steel"}],"volume":"February 2014","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63b7","contributors":{"authors":[{"text":"Fenton, Michael D. mfenton@usgs.gov","contributorId":2897,"corporation":false,"usgs":true,"family":"Fenton","given":"Michael","email":"mfenton@usgs.gov","middleInitial":"D.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690256,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70131489,"text":"70131489 - 2014 - Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET","interactions":[],"lastModifiedDate":"2021-11-26T14:20:47.474944","indexId":"70131489","displayToPublicDate":"2014-02-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET","docAbstract":"<p>Continental Africa has the highest volume of water stored in wetlands, large lakes, reservoirs, and rivers, yet it suffers from problems such as water availability and access. With climate change intensifying the hydrologic cycle and altering the distribution and frequency of rainfall, the problem of water availability and access will increase further. Famine&nbsp;Early Warning Systems&nbsp;Network (FEWS NET) funded by the United States Agency for International Development (USAID) has initiated a large-scale project to monitor small to medium surface water points in Africa. Under this project, multisource satellite data and hydrologic modeling techniques are integrated to monitor several hundreds of small to medium surface water points in Africa. This approach has been already tested to operationally monitor 41 water points in East Africa. The validation of modeled scaled depths with field-installed gauge data demonstrated the ability of the model to capture both the spatial patterns and seasonal variations. Modeled scaled estimates captured up to 60 % of the observed gauge variability with a mean root-mean-square error (RMSE) of 22 %. The data on relative water level, precipitation, and evapotranspiration (ETo) for water points in&nbsp;East and West&nbsp;Africa were modeled since 1998 and current information is being made available in near-real time. This chapter presents the approach, results from the East African study, and the first phase of expansion activities in the West Africa region. The water point monitoring network will be further expanded to cover much of sub-Saharan Africa. The goal of this study is to provide timely information on the water availability that would support already established FEWS NET activities in Africa. This chapter also presents the potential improvements in modeling approach to be implemented during future expansion in Africa.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Nile River Basin","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-02720-3_5","usgsCitation":"Velpuri, N.M., Senay, G.B., Rowland, J., Verdin, J.P., and Alemu, H., 2014, Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET, chap. 5 <i>of</i> Nile River Basin, p. 69-95, https://doi.org/10.1007/978-3-319-02720-3_5.","productDescription":"27 p.","startPage":"69","endPage":"95","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052450","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":296230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -21.796875,\n              -35.17380831799957\n            ],\n            [\n              -21.796875,\n              37.85750715625203\n            ],\n            [\n              51.50390625,\n              37.85750715625203\n            ],\n            [\n              51.50390625,\n              -35.17380831799957\n            ],\n            [\n              -21.796875,\n              -35.17380831799957\n            ]\n          ]\n        ]\n      }\n    }\n  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,{"id":70074531,"text":"ofr20141016 - 2014 - Methow and Columbia Rivers studies: summary of data collection, comparison of database structure and habitat protocols, and impact of additional PIT tag interrogation systems to survival estimates, 2008-2012","interactions":[],"lastModifiedDate":"2014-01-31T12:09:04","indexId":"ofr20141016","displayToPublicDate":"2014-01-31T12:01:00","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":"2014-1016","title":"Methow and Columbia Rivers studies: summary of data collection, comparison of database structure and habitat protocols, and impact of additional PIT tag interrogation systems to survival estimates, 2008-2012","docAbstract":"The U.S. Geological Survey (USGS) received funding from the Bureau of Reclamation (Reclamation) to provide monitoring and evaluation on the effectiveness of stream restoration efforts by Reclamation in the Methow River watershed. This monitoring and evaluation program is designed to partially fulfill Reclamation’s part of the 2008 Biological Opinion for the Federal Columbia River Power System that includes a Reasonable and Prudent Alternative (RPA) to protect listed salmon and steelhead across their life cycle. The target species in the Methow River for the restoration effort include Upper Columbia River (UCR) spring Chinook salmon (Oncorhynchus tshawytscha), UCR steelhead (Oncorhynchus mykiss), and bull trout (Salvelinus confluentus), which are listed as threatened or endangered under the Endangered Species Act.\n\nSince 2004, the USGS has completed two projects of monitoring and evaluation in the Methow River watershed. The first project focused on the evaluation of barrier removal and steelhead recolonization in Beaver Creek with Libby and Gold Creeks acting as controls. The majority of this work was completed by 2008, although some monitoring continued through 2012.\n\nThe second project (2008–2012) evaluated the use and productivity of the middle Methow River reach (rkm 65–80) before the onset of multiple off-channel restoration projects planned by the Reclamation and Yakama Nation. The upper Methow River (upstream of rkm 80) and Chewuch River serve as reference reaches and the Methow River downstream of the Twisp River (downstream of rkm 65) serves as a control reach. Restoration of the M2 reach was initiated in 2012 and will be followed by a multi-year, intensive post-evaluation period.\n\nThis report is comprised of three chapters covering different aspects of the work completed by the USGS. The first chapter is a review of data collection that documents the methods used and summarizes the work done by the USGS from 2008 through 2012. This data summary was designed to show some initial analysis and to disseminate summary information that could potentially be used in ongoing modeling efforts by USGS, Reclamation, and University of Idaho. The second chapter documents the database of fish and habitat data collected by USGS from 2004 through 2012 and compares USGS habitat protocols to the Columbia Habitat Monitoring Program (CHaMP) protocol. The third chapter is a survival analysis of fish moving through Passive Integrated Transponder (PIT) tag interrogation systems in the Methow and Columbia Rivers. It examines the effects of adding PIT tags and/or PIT tag interrogation systems on survival estimates of juvenile steelhead and Chinook salmon.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141016","issn":"2331-1258","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Martens, K.D., Tibbits, W.T., Watson, G.A., Newsom, M.A., and Connolly, P., 2014, Methow and Columbia Rivers studies: summary of data collection, comparison of database structure and habitat protocols, and impact of additional PIT tag interrogation systems to survival estimates, 2008-2012: U.S. Geological Survey Open-File Report 2014-1016, Report: x, 92 p.; 12 appendices, https://doi.org/10.3133/ofr20141016.","productDescription":"Report: x, 92 p.; 12 appendices","numberOfPages":"106","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-051467","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":281830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141016.png"},{"id":281828,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1016/"},{"id":281829,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1016/pdf/ofr2014-1016.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.2117,48.0532 ], [ -120.2117,48.4789 ], [ -119.9268,48.4789 ], [ -119.9268,48.0532 ], [ -120.2117,48.0532 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd66f5e4b0b29085101134","contributors":{"authors":[{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbits, Wesley T. wtibbits@usgs.gov","contributorId":4803,"corporation":false,"usgs":true,"family":"Tibbits","given":"Wesley","email":"wtibbits@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":489609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Grace A. gwatson@usgs.gov","contributorId":5435,"corporation":false,"usgs":true,"family":"Watson","given":"Grace","email":"gwatson@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":489610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newsom, Michael A.","contributorId":36855,"corporation":false,"usgs":true,"family":"Newsom","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":489608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70073833,"text":"ds820 - 2014 - Nutrient load summaries for major lakes and estuaries of the Eastern United States, 2002","interactions":[],"lastModifiedDate":"2024-04-18T13:52:08.876274","indexId":"ds820","displayToPublicDate":"2014-01-31T10:38:54","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":"820","title":"Nutrient load summaries for major lakes and estuaries of the Eastern United States, 2002","docAbstract":"Nutrient enrichment of lakes and estuaries across the Nation is widespread. Nutrient enrichment can stimulate excessive plant and algal growth and cause a number of undesirable effects that impair aquatic life and recreational activities and can also result in economic effects. Understanding the amount of nutrients entering lakes and estuaries, the physical characteristics affecting the nutrient processing within these receiving waterbodies, and the natural and manmade sources of nutrients is fundamental to the development of effective nutrient reduction strategies. To improve this understanding, sources and stream transport of nutrients to 255 major lakes and 64 estuaries in the Eastern United States were estimated using Spatially Referenced Regression on Watershed attributes (SPARROW) nutrient models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds820","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Moorman, M.C., Hoos, A.B., Bricker, S.B., Moore, R.B., García, A., and Ator, S.W., 2014, Nutrient load summaries for major lakes and estuaries of the Eastern United States, 2002: U.S. Geological Survey Data Series 820, Report: iv, 10 p.; Table 3A & 3B; 2 Appendices, https://doi.org/10.3133/ds820.","productDescription":"Report: iv, 10 p.; Table 3A & 3B; 2 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049636","costCenters":[{"id":476,"text":"North Carolina Water Science 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abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":489103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bricker, Suzanne B.","contributorId":64555,"corporation":false,"usgs":false,"family":"Bricker","given":"Suzanne","email":"","middleInitial":"B.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":489106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Richard B. rmoore@usgs.gov","contributorId":1464,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"García, Ana 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,{"id":70189268,"text":"70189268 - 2014 - Understanding uncertainties in future Colorado River streamflow","interactions":[],"lastModifiedDate":"2017-07-07T11:57:09","indexId":"70189268","displayToPublicDate":"2014-01-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Understanding uncertainties in future Colorado River streamflow","docAbstract":"The Colorado River is the primary water source for more than 30 million people in the United States and Mexico. Recent studies that project streamf low changes in the Colorado River all project annual declines, but the magnitude of the projected decreases range from less than 10% to 45% by the mid-twenty-first century. To understand these differences, we address the questions the management community has raised: Why is there such a wide range of projections of impacts of future climate change on Colorado River streamflow, and how should this uncertainty be interpreted? We identify four major sources of disparities among studies that arise from both methodological and model differences. In order of importance, these are differences in 1) the global climate models (GCMs) and emission scenarios used; 2) the ability of land surface and atmospheric models to simulate properly the high-elevation runoff source areas; 3) the sensitivities of land surface hydrology models to precipitation and temperature changes; and 4) the methods used to statistically downscale GCM scenarios. In accounting for these differences, there is substantial evidence across studies that future Colorado River streamflow will be reduced under the current trajectories of anthropogenic greenhouse gas emissions because of a combination of strong temperature-induced runoff curtailment and reduced annual precipitation. Reconstructions of preinstrumental streamflows provide additional insights; the greatest risk to Colorado River streamf lows is a multidecadal drought, like that observed in paleoreconstructions, exacerbated by a steady reduction in flows due to climate change. This could result in decades of sustained streamflows much lower than have been observed in the ~100 years of instrumental record.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-12-00228.1","usgsCitation":"Julie A. Vano, Bradley Udall, Cayan, D., Overpeck, J.T., Brekke, L., Das, T., Hartmann, H.C., Hidalgo, H.G., Hoerling, M., McCabe, G., Morino, K., Webb, R.S., Werner, K., and Lettenmaier, D.P., 2014, Understanding uncertainties in future Colorado River streamflow: Bulletin of the American Meteorological Society, v. 95, no. 1, p. 59-78, https://doi.org/10.1175/BAMS-D-12-00228.1.","productDescription":"20 p. ","startPage":"59","endPage":"78","ipdsId":"IP-044796","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-12-00228.1","text":"Publisher Index Page"},{"id":343471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River ","volume":"95","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59609db9e4b0d1f9f0594c44","contributors":{"authors":[{"text":"Julie A. Vano","contributorId":194362,"corporation":false,"usgs":false,"family":"Julie A. Vano","affiliations":[],"preferred":false,"id":703826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley Udall","contributorId":194360,"corporation":false,"usgs":false,"family":"Bradley Udall","affiliations":[],"preferred":false,"id":703824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, Daniel drcayan@usgs.gov","contributorId":149912,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":703821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overpeck, Jonathan T","contributorId":194361,"corporation":false,"usgs":false,"family":"Overpeck","given":"Jonathan","email":"","middleInitial":"T","affiliations":[],"preferred":false,"id":703825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brekke, Levi D.","contributorId":35847,"corporation":false,"usgs":true,"family":"Brekke","given":"Levi D.","affiliations":[],"preferred":false,"id":703836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Das, Tapash","contributorId":194364,"corporation":false,"usgs":false,"family":"Das","given":"Tapash","email":"","affiliations":[],"preferred":false,"id":703837,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hartmann, Holly C.","contributorId":194365,"corporation":false,"usgs":false,"family":"Hartmann","given":"Holly","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":703838,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hidalgo, Hugo G.","contributorId":194367,"corporation":false,"usgs":false,"family":"Hidalgo","given":"Hugo","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":703839,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hoerling, Martin P","contributorId":145843,"corporation":false,"usgs":false,"family":"Hoerling","given":"Martin P","affiliations":[{"id":16257,"text":"NOAA Earth System Research Laboratory, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":703840,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":703841,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morino, Kiyomi","contributorId":78210,"corporation":false,"usgs":true,"family":"Morino","given":"Kiyomi","email":"","affiliations":[],"preferred":false,"id":703842,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Webb, Robert S.","contributorId":72894,"corporation":false,"usgs":true,"family":"Webb","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":703843,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Werner, Kevin","contributorId":194369,"corporation":false,"usgs":false,"family":"Werner","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":703844,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lettenmaier, Dennis P.","contributorId":139779,"corporation":false,"usgs":false,"family":"Lettenmaier","given":"Dennis","email":"","middleInitial":"P.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":703845,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70173748,"text":"70173748 - 2014 - Acceptability of residential development in a regional landscape: Potential effects on wildlife occupancy patterns","interactions":[],"lastModifiedDate":"2016-06-09T14:14:47","indexId":"70173748","displayToPublicDate":"2014-01-31T00:00:00","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":"Acceptability of residential development in a regional landscape: Potential effects on wildlife occupancy patterns","docAbstract":"<p><span>The conversion of natural lands to developed uses may pose the single greatest human threat to global terrestrial biodiversity. Continued human growth and development over the next century will further exacerbate these effects of habitat loss and fragmentation. Natural resource managers are tasked with managing wildlife as a public trust, yet often have little say in land use decisions. Generally speaking, decision makers could benefit from an understanding of what different regulations mean in terms of wildlife distribution. In a previous paper (</span><span id=\"bb0175\"><a id=\"ancbb0175\" class=\"intra_ref\" href=\"http://www.sciencedirect.com/science/article/pii/S0006320713002619#b0175\">Bettigole et al., 2013</a></span><span>), we surveyed town residents throughout Vermont to measure how respondents feel about a range of development levels within their town boundaries. We estimated the &ldquo;social carrying capacity for development&rdquo; &ndash; or</span><i>SK<sub>d</sub></i><span>&nbsp;&ndash; for 251 towns in Vermont.&nbsp;</span><i>SK<sub>d</sub></i><span>&nbsp;provides an estimate of the level of developed land cover classes that town residents deem &ldquo;acceptable&rdquo; within their town boundaries. In this paper, we design a framework for linking the town-specific&nbsp;</span><i>SK<sub>d</sub></i><span>&nbsp;estimates with the wildlife distribution patterns for three wide-ranging mammalian species: American black bear (</span><i>Ursus americanus</i><span>), fisher (</span><i>Martes pennanti</i><span>), and bobcat (</span><i>Lynx rufus</i><span>). We simulated landscape conditions at&nbsp;</span><i>SK<sub>d</sub></i><span>&nbsp;for each town in Vermont, and then used existing occupancy models for the three target species to spatially map and compare occupancy rates in the baseline year 2000 with occupancy rates at&nbsp;</span><i>SK<sub>d</sub></i><span>. With nearly 90% of Vermont towns willing to increase developed landcover classes within town boundaries compared to baseline levels, significant state-wide changes in occupancy rates were predicted for all three focal species. Average occupancy rates declined by &minus;15.9% and &minus;3.1% for black bear and bobcats, respectively. Average occupancy rates for fisher increased by 9.0%. This study provides a method for linking development standards within a town with wildlife occurrence. Across towns, the methodology spatially identifies areas that may be at risk of future development, as well as identifying areas where wildlife distribution patterns may face future change as a result of increased human population growth and development.</span></p>","language":"English","publisher":"Elseiver","doi":"10.1016/j.biocon.2013.07.029","usgsCitation":"Bettigole, C.A., Donovan, T., Manning, R., Austin, J., and Long, R., 2014, Acceptability of residential development in a regional landscape: Potential effects on wildlife occupancy patterns: Biological Conservation, v. 169, p. 401-409, https://doi.org/10.1016/j.biocon.2013.07.029.","productDescription":"9 p.","startPage":"401","endPage":"409","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040028","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"169","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a932fe4b04f417c27511c","contributors":{"authors":[{"text":"Bettigole, Charles A.","contributorId":171660,"corporation":false,"usgs":false,"family":"Bettigole","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese tdonovan@usgs.gov","contributorId":171599,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Robert","contributorId":171662,"corporation":false,"usgs":false,"family":"Manning","given":"Robert","affiliations":[],"preferred":false,"id":638231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Austin, John","contributorId":171664,"corporation":false,"usgs":false,"family":"Austin","given":"John","affiliations":[],"preferred":false,"id":638232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, Robert","contributorId":171665,"corporation":false,"usgs":false,"family":"Long","given":"Robert","affiliations":[],"preferred":false,"id":638233,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70073500,"text":"70073500 - 2014 - Assessing streamflow sensitivity to variations in glacier mass balance","interactions":[],"lastModifiedDate":"2018-08-24T11:29:38","indexId":"70073500","displayToPublicDate":"2014-01-30T13:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Assessing streamflow sensitivity to variations in glacier mass balance","docAbstract":"The mountains ringing the Gulf of Alaska (GOA) receive upwards of 4–8 m yr<sup>−1</sup> of precipitation (Simpson et al.2005; Weingartner et al. 2005; O’Neel 2012), much of which runs off into productive coastal waters. The alpine landscape is heavily glacierized, and storage and turnover of water by glaciers substantially influences the regional surface water balance (Neal et al. 2010). In turn, the land-to-ocean flux of freshwater impacts the biogeochemistry, physical oceanography, freshwater and marine ecology of the downstream components of the GOA ecosystem (e.g., Royer et al. 2001; Hood and Scott 2008). In this way, the links between terrestrial and ocean ecosystems along the GOA have widespread impacts on regional socioeconomic issues including water and hydropower resources, fish populations, and sea level change (Dorava and Milner 2000; Royer and Grosch 2006; Cherry et al. 2010; Gardner et al. 2013). Moreover, predicting future changes in physical, chemical and biological processes in near-shore ecosystems along the GOA hinges, in part, on developing a robust understanding of water storage and transfer by glaciers through streams to the ocean.\nGlacierized basins (i.e. presently ice covered as opposed to glaciated, or historically ice covered) are very efficient producers of runoff, yielding 2–10 times greater runoff than similarly sized, non-glacierized basins (Mayo 1984). The unique energy balance that characterizes these basins (Jansson et al. 2003; Hock 2005) results in substantial alterations to streamflow, even when fractional ice coverage is very small (Stahl and Moore 2006). Consistent and precise treatment of glacier runoff is key to accurate assessment of hydrologic, ecological and socioeconomic impacts, but previously used definitions for glacier runoff are variable. They include: 1) meltwater produced as negative annual mass balance (e.g., Fountain and Tangborn 1985); 2) storage changes in the monthly water budget, where solid precipitation is balanced by melt and evaporation (Huss 2011, concept #2); 3) meltwater derived from melting ice only (irrespective of melting snow or mass balance) (Nolin et al. 2010; Huss 2011, concept #1); 4) all meltwater derived from the glacier surface (Cogley et al. 2011, meltwater runoff); 5) total runoff from the glacier surface (meltwater runoff plus rain on the glacier) (Neal et al. 2010).\nTotal glacier runoff (Definitions 4 and 5 above) includes a contribution from annual mass balance, i.e. the sum of accumulation and ablation through a mass balance year (Definition 1), or what has historically been referred to as the “net” balance (Cogley et al. 2011). Indeed, annual balance has been shown to be an important driver of streamflow trends in glacierized basins, with periods of persistent negative annual balance resulting in statistically significant increases in streamflow (e.g., Pellicciotti et al. 2010). However, in maritime climates, anomalies in glacier runoff can be disconnected from annual balance because of the high variability in winter precipitation. For example, positive anomalies in winter accumulation can result in elevated levels of glacier runoff in times of positive annual mass balance (Thayyen and Gergan 2010).\nQuantifying the impacts of changing glacier geometries (annual balance) on glacier runoff is essential for predicting future changes in streamflow in glacierized basins. However, determining the role that this component plays in total glacier runoff (Definition 5) requires consistent measurements of seasonal (or shorter period) mass balances, measurements of precipitation at multiple locations within a basin, and streamflow measurements in close proximity to a glacier’s terminus. Practical and logistical challenges associated with assembling such data sets typically preclude such partitioning. As a result, most analyses of the relationship between annual mass balance and streamflow rely on some component of model output to compute glacier runoff (e.g. Huss et al. 2008; Kaser et al. 2010). Ultimately, developing an understanding of how total glacier runoff will change in the future is critical for predicting downstream ecological impacts associated with changes in riverine fluxes of water, sediment, and solutes (e.g., metals and nutrients) to near-shore coastal ecosystems.\nThe purpose of this paper is to evaluate relationships among seasonal and annual glacier mass balances, glacier runoff and streamflow in two glacierized basins in different climate settings. We use long-term glacier mass balance and streamflow datasets from the United States Geological Survey (USGS) Alaska Benchmark Glacier Program to compare and contrast glacier-streamflow interactions in a maritime climate (Wolverine Glacier) with those in a continental climate (Gulkana Glacier). Our overall goal is to improve our understanding of how glacier mass balance processes impact streamflow, ultimately improving our conceptual understanding of the future evolution of glacier runoff in continental and maritime climates.","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-1042-7","usgsCitation":"O’Neel, S., Hood, E., Arendt, A., and Sass, L., 2014, Assessing streamflow sensitivity to variations in glacier mass balance: Climatic Change, v. 123, no. 2, p. 329-341, https://doi.org/10.1007/s10584-013-1042-7.","productDescription":"13 p.","startPage":"329","endPage":"341","ipdsId":"IP-049370","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":473202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-013-1042-7","text":"Publisher Index Page"},{"id":281844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281842,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-1042-7"}],"country":"United States","state":"Alaska","volume":"123","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-01-30","publicationStatus":"PW","scienceBaseUri":"53517024e4b05569d805a161","contributors":{"authors":[{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":488826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":488828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arendt, Anthony","contributorId":74661,"corporation":false,"usgs":true,"family":"Arendt","given":"Anthony","affiliations":[],"preferred":false,"id":488827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":488825,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70059169,"text":"sir20135236 - 2014 - Simulation of groundwater flow and saltwater movement in the Onslow County area, North Carolina: predevelopment-2010","interactions":[],"lastModifiedDate":"2017-01-17T20:55:28","indexId":"sir20135236","displayToPublicDate":"2014-01-28T14:17:00","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":"2013-5236","title":"Simulation of groundwater flow and saltwater movement in the Onslow County area, North Carolina: predevelopment-2010","docAbstract":"<p>Onslow County, North Carolina, is located within the designated Central Coastal Plain Capacity Use Area (CCPCUA). The CCPCUA was designated by law as a result of groundwater level declines of as much as 200 feet during the past four decades within aquifers in rocks of Cretaceous age in the central Coastal Plain of North Carolina and a depletion of water in storage from increased groundwater withdrawals in the area. The declines and depletion of water in storage within the Cretaceous aquifers increase the potential for saltwater migration—both lateral encroachment and upward leakage of brackish water. Within the CCPCUA, a reduction in groundwater withdrawals over a period of 16 years from 2003 to 2018 is mandated. Under the CCPCUA rules, withdrawals in excess of 100,000 gallons per day from any of the Cretaceous aquifer well systems are subject to water-use reductions of as much as 75 percent. To assess the effects of the CCPCUA rules and to assist with groundwater-management decisions, a numerical model was developed to simulate the groundwater flow and chloride concentrations in the surficial Castle Hayne, Beaufort, Peedee, and Black Creek aquifers in the Onslow County area. The model was used to (1) simulate groundwater flow from 1900 to 2010; (2) assess chloride movement throughout the aquifer system; and (3) create hypothetical scenarios of future groundwater development.</p>\n<br/>\n<p>After calibration of a groundwater flow model and conversion to a variable-density model, five scenarios were created to simulate future groundwater conditions in the Onslow County area: (1) full implementation of the CCPCUA rules with three phases of withdrawal reductions simulated through 2028; (2) implementation of only phase 1 withdrawal reductions of the CCPCUA rules and simulated through 2028; (3) implementation of only phases 1 and 2 withdrawal reductions of the CCPCUA rules and simulated through 2028; (4) full implementation of the CCPCUA rules with the addition of withdrawals from the Castle Hayne aquifer in Onslow County at the fully permitted amount in the final stress period and simulated through 2028; and (5) full implementation of the CCPCUA rules as in scenario 1 except simulated through 2100. Results from the scenarios give an indication of the water-level recovery in the Black Creek aquifer throughout each phase of the CCPCUA rules in Onslow County. Furthermore, as development of the Castle Hayne aquifers was increased in the scenarios, cones of depression were created around pumping centers. Additionally, the scenarios indicated little to no change in chloride concentrations for the time periods simulated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135236","collaboration":"Prepared in cooperation with the City of Jacksonville, Onslow Water and Sewer Authority, and the United States Marine Corps Base Camp Lejeune","usgsCitation":"Fine, J.M., and Kuniansky, E.L., 2014, Simulation of groundwater flow and saltwater movement in the Onslow County area, North Carolina: predevelopment-2010: U.S. Geological Survey Scientific Investigations Report 2013-5236, x, 106 p., https://doi.org/10.3133/sir20135236.","productDescription":"x, 106 p.","numberOfPages":"120","onlineOnly":"Y","ipdsId":"IP-042993","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":281621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135236.jpg"},{"id":281620,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5236/"},{"id":281619,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5236/pdf/sir2013-5236.pdf"}],"country":"United States","state":"North Carolina","county":"Onslow County","otherGeospatial":"Central Coastal Plain Capacity Use Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0011,34.1967 ], [ -78.0011,35.4025 ], [ -76.892,35.4025 ], [ -76.892,34.1967 ], [ -78.0011,34.1967 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72e5e4b0b290851089b3","contributors":{"authors":[{"text":"Fine, Jason M. 0000-0002-6386-256X jmfine@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-256X","contributorId":2238,"corporation":false,"usgs":true,"family":"Fine","given":"Jason","email":"jmfine@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":487509,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048970,"text":"sir20135179 - 2014 - Trends in major-ion constituents and properties for selected sampling sites in the Tongue and Powder River watersheds, Montana and Wyoming, based on data collected during water years 1980-2010","interactions":[],"lastModifiedDate":"2014-01-28T13:11:27","indexId":"sir20135179","displayToPublicDate":"2014-01-28T12:52:00","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":"2013-5179","title":"Trends in major-ion constituents and properties for selected sampling sites in the Tongue and Powder River watersheds, Montana and Wyoming, based on data collected during water years 1980-2010","docAbstract":"<p>The primary purpose of this report is to present information relating to flow-adjusted temporal trends in major-ion constituents and properties for 16 sampling sites in the Tongue and Powder River watersheds based on data collected during 1980–2010. In association with this primary purpose, the report presents background information on major-ion characteristics (including specific conductance, calcium, magnesium, potassium, sodium adsorption ratio, sodium, alkalinity, chloride, fluoride, dissolved sulfate, and dissolved solids) of the sampling sites and coal-bed methane (CBM) produced water (groundwater pumped from coal seams) in the site watersheds, trend analysis methods, streamflow conditions, and factors that affect trend results.</p>\n<br/>\n<p>The Tongue and Powder River watersheds overlie the Powder River structural basin (PRB) in northeastern Wyoming and southeastern Montana. Limited extraction of coal-bed methane (CBM) from the PRB began in the early 1990’s, and increased dramatically during the late 1990’s and early 2000’s. CBM-extraction activities produce discharges of water with high concentrations of dissolved solids (particularly sodium and bicarbonate ions) relative to most stream water in the Tongue and Powder River watersheds. Water-quality of CBM produced water is of concern because of potential effects of sodium on agricultural soils and potential effects of bicarbonate on aquatic biota.</p>\n<br/>\n<p>Two parametric trend-analysis methods were used in this study: the time-series model (TSM) and ordinary least squares regression (OLS) on time, streamflow, and season. The TSM was used to analyze trends for 11 of the 16 study sites. For five sites, data requirements of the TSM were not met and OLS was used to analyze trends. Two primary 10-year trend-analysis periods were selected. Trend-analysis period 1 (water years 1986–95; hereinafter referred to as period 1) was selected to represent variability in major-ion concentrations in the Tongue and Powder River watersheds before potential effects of CBM-extraction activities. Trend analysis period 2 (water years 2001–10; hereinafter referred to as period 2) was selected because it encompassed substantial CBM-extraction activities and therefore might indicate potential effects of CBM-extraction activities on water quality of receiving streams in the Tongue and Powder River watersheds. For sites that did not satisfy data requirements for the TSM, OLS was used to analyze trends for period 2 (if complete data were available) or a 6-year period (2005–10).</p>\n<br/>\n<p>Flow-rate characteristics of CBM-produced water were estimated to allow general comparisons with streamflow characteristics of the sampling sites. The information on flow-rate characteristics of CBM-produced water in relation to streamflow does not account for effects of disposal, treatment, or other remediation activities on the potential quantitative effects of CBM-produced water on receiving streams. In many places, CBM-produced water is discharged into impoundments or channels in upper reaches of tributary watersheds where water infiltrates and does not directly contribute to streamflow. For Tongue River at State line (site 4) mean annual pumping rate of CBM-produced water during water years 2001–10 (hereinafter referred to as mean CBM pumping rate) was 6 percent of the mean of annual median streamflows during water years 2001–10 (hereinafter referred to as 2001–10 median streamflow). For main-stem Tongue River sites 5, 7, and 10, mean CBM pumping rate was 8–12 percent of 2001–10 median streamflow. For main-stem Powder River sites (sites 12, 13, and 16), mean CBM pumping rates were 26, 28, and 34 percent of 2001–10 median streamflows, respectively.</p>\n<br/>\n<p>For main-stem Tongue River sites analyzed by using the TSM and downstream from substantial CBM-extraction activities [Tongue River at State line (site 4), Tongue River at Tongue River Dam (site 5), Tongue River at Birney Day School (site 7), and Tongue River at Miles City (site 10)], generally small significant or nonsignificant decreases in most constituents are indicated for period 1. For period 2 for these sites, the TSM trend results do not allow confident conclusions concerning detection of effects of CBM-extraction activities on stream water quality. Detection of significant trends in major-ion constituents and properties for period 2 generally was infrequent, and direction, magnitudes, and significance of fitted trends were not strongly consistent with relative differences in water quality between stream water and CBM-produced water. The TSM indicated significant or generally large magnitude increases in median values of sodium adsorption ratio (SAR), sodium, and alkalinity for period 2 for sites 5 and 7, which might indicate potential effects of CBM-extraction activities on stream water. However, other factors, including operations of Tongue River Reservoir, irrigation activities, contributions of saline groundwater, and operations of the Decker coal mine, confound confident determination of causes of detected significant trends for sites 5 and 7. For all mainstem Tongue River sites, trends for period 2 generally are within ranges of those for period 1 before substantial CBM-extraction activities.</p>\n<br/>\n<p>For main-stem Powder River sites analyzed by using the TSM [Powder River at Sussex (site 11), Powder River at Arvada (site 12), Powder River at Moorhead (site 13), and Powder River near Locate (site 16)], significant or generally large magnitude decreases in median values of SAR, sodium, estimated alkalinity, chloride, fluoride, specific conductance, and dissolved solids are indicated for period 1. Patterns in trend results for period 1 for main-stem Powder River sites are consistent with effects of Salt Creek oil-brine reinjection that started in 1990. Trend results for all main-stem Powder River sites downstream from substantial CBM-extraction activities (sites 12, 13, and 16) indicate evidence of potential effects of CBM-extraction activities on stream water quality, although evidence is stronger for sites 12 and 13 than for site 16. Evidence in support of potential CBM effects includes significant increases in median values of SAR, sodium, and estimated alkalinity for period 2 for sites 12, 13, and 16 that are consistent with relative differences between stream water and CBM-produced water. Significant increases in median values of these constituents for period 2 are not indicated for Powder River at Sussex (site 11) upstream from substantial CBM-extraction activities. In interpreting the trend results, it is notable that the fitted trends evaluate changes in median concentrations and also notable that changes in median concentrations that might be attributed to CBM-extraction activities probably are more strongly evident during low to median streamflow conditions than during mean to high streamflow conditions. This observation is relevant in assessing trend results in relation to specific water-quality concerns, including effects of water-quality changes on irrigators and effects on stream biota and ecology.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135179","collaboration":"Prepared in cooperation with the Montana Department of Natural Resources and Conservation, Water Management Bureau","usgsCitation":"Sando, S.K., Vecchia, A.V., Barnhart, E.P., Sando, R., Clark, M.L., and Lorenz, D.L., 2014, Trends in major-ion constituents and properties for selected sampling sites in the Tongue and Powder River watersheds, Montana and Wyoming, based on data collected during water years 1980-2010: U.S. Geological Survey Scientific Investigations Report 2013-5179, x, 123 p., https://doi.org/10.3133/sir20135179.","productDescription":"x, 123 p.","numberOfPages":"140","temporalStart":"1979-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-041145","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":281609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135179.jpg"},{"id":281606,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5179/"},{"id":281608,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5179/pdf/sir2013-5179.pdf"}],"projection":"Albers Equal-Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"Montana;Wyoming","otherGeospatial":"Powder River;Tongue River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.0,42.9725 ], [ -108.0,47.0 ], [ -104.502,47.0 ], [ -104.502,42.9725 ], [ -108.0,42.9725 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd79a3e4b0b2908510cf3d","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":485905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":485903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Melanie L. mlclark@usgs.gov","contributorId":1827,"corporation":false,"usgs":true,"family":"Clark","given":"Melanie","email":"mlclark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485901,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70073926,"text":"70073926 - 2014 - Changes in population evacuation potential for tsunami hazards in Seward, Alaska, since the 1964 Good Friday earthquake","interactions":[],"lastModifiedDate":"2014-01-27T10:56:05","indexId":"70073926","displayToPublicDate":"2014-01-27T10:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Changes in population evacuation potential for tsunami hazards in Seward, Alaska, since the 1964 Good Friday earthquake","docAbstract":"Pedestrian evacuation modeling for tsunami hazards typically focuses on current land-cover conditions and population distributions. To examine how post-disaster redevelopment may influence the evacuation potential of at-risk populations to future threats, we modeled pedestrian travel times to safety in Seward, Alaska, based on conditions before the 1964 Good Friday earthquake and tsunami disaster and on modern conditions. Anisotropic, path distance modeling is conducted to estimate travel times to safety during the 1964 event and in modern Seward, and results are merged with various population data, including the location and number of residents, employees, public venues, and dependent care facilities. Results suggest that modeled travel time estimates conform well to the fatality patterns of the 1964 event and that evacuation travel times have increased in modern Seward due to the relocation and expansion of port and harbor facilities after the disaster. The majority of individuals threatened by tsunamis today in Seward are employee, customer, and tourist populations, rather than residents in their homes. Modern evacuation travel times to safety for the majority of the region are less than wave arrival times for future tectonic tsunamis but greater than arrival times for landslide-related tsunamis. Evacuation travel times will likely be higher in the winter time, when the presence of snow may constrain evacuations to roads.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11069-013-0859-8","usgsCitation":"Wood, N.J., Schmidtlein, M.C., and Peters, J., 2014, Changes in population evacuation potential for tsunami hazards in Seward, Alaska, since the 1964 Good Friday earthquake: Natural Hazards, v. 70, no. 2, p. 1031-1053, https://doi.org/10.1007/s11069-013-0859-8.","productDescription":"23 p.","startPage":"1031","endPage":"1053","numberOfPages":"23","ipdsId":"IP-046272","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":281557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281485,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-013-0859-8"}],"country":"United States","state":"Alaska","city":"Seward","otherGeospatial":"Resurrection Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.476625,60.085063 ], [ -149.476625,60.154232 ], [ -149.273115,60.154232 ], [ -149.273115,60.085063 ], [ -149.476625,60.085063 ] ] ] } } ] }","volume":"70","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-10-06","publicationStatus":"PW","scienceBaseUri":"52e77fe2e4b0b93270c2f258","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":489238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidtlein, Mathew C.","contributorId":90999,"corporation":false,"usgs":true,"family":"Schmidtlein","given":"Mathew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":489240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":489239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160695,"text":"70160695 - 2014 - An ecological basis for future fish habitat restoration efforts in the Huron-Erie Corridor","interactions":[],"lastModifiedDate":"2015-12-31T11:52:34","indexId":"70160695","displayToPublicDate":"2014-01-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"An ecological basis for future fish habitat restoration efforts in the Huron-Erie Corridor","docAbstract":"<p>This perspective describes the major natural and anthropogenic forces driving change in the abundance and quality of fish habitats in the Huron-Erie Corridor (HEC), the Great Lakes connecting channel comprised of the St. Clair River, the Lake St. Clair, and the Detroit River. Channels connecting the Laurentian Great Lakes discharge large volumes of water equal to or greater than most other large rivers in the world that is of consistent high quality and volume, all year. Owing to creation of the St. Lawrence Seaway through the Great Lakes, the connecting channels have been modified by dredging over 200 km of deep-draft shipping lanes with a maintained depth of no less than 8.2 m. Combined with modification of their shorelines for housing and industries, use of the connecting channels for discharges of industrial and municipal wastes and shipping has resulted in numerous beneficial use impairments, such as restrictions on fish and wildlife consumption, degradation of fish and wildlife populations, and losses of fish and wildlife habitat. Various options for remediation of native fish populations and their habitats in the Great Lakes connecting channels, including construction of spawning habitat for threatened and high-value food fishes, such as lake sturgeon (Acipenser fulvescens), walleye (Sander vitreus), and lake whitefish (Coregonus clupeaformis), have been implemented successfully in two of the channels, and form the basis for further recommended research described in this article.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.12.007","usgsCitation":"Hondorp, D.W., Roseman, E., and Manny, B.A., 2014, An ecological basis for future fish habitat restoration efforts in the Huron-Erie Corridor: Journal of Great Lakes Research, v. 40, no. Supplement 2, p. 23-30, https://doi.org/10.1016/j.jglr.2013.12.007.","productDescription":"8 p.","startPage":"23","endPage":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050779","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States; Canada","otherGeospatial":"Huron-Erie corridor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.42218017578125,\n              42.99962549506941\n            ],\n            [\n              -82.430419921875,\n              42.96044267380142\n            ],\n            [\n              -82.45788574218749,\n              42.94134456158853\n      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F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583595,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70073962,"text":"sir20135191 - 2014 - Simulated and observed 2010 flood-water elevations in selected river reaches in the Moshassuck and Woonasquatucket River Basins, Rhode Island","interactions":[],"lastModifiedDate":"2014-01-24T16:38:07","indexId":"sir20135191","displayToPublicDate":"2014-01-24T16:31:00","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":"2013-5191","title":"Simulated and observed 2010 flood-water elevations in selected river reaches in the Moshassuck and Woonasquatucket River Basins, Rhode Island","docAbstract":"<p>Heavy persistent rains from late February through March 2010 caused severe flooding and set, or nearly set, peaks of record for streamflows and water levels at many long-term U.S. Geological Survey streamgages in Rhode Island. In response to this flood, hydraulic models were updated for selected reaches covering about 33 river miles in Moshassuck and Woonasquatucket River Basins from the most recent approved Federal Emergency Management Agency flood insurance study (FIS) to simulate water-surface elevations (WSEs) from specified flows and boundary conditions. Reaches modeled include the main stem of the Moshassuck River and its main tributary, the West River, and three tributaries to the West River—Upper Canada Brook, Lincoln Downs Brook, and East Branch West River; and the main stem of the Woonasquatucket River. All the hydraulic models were updated to Hydrologic Engineering Center-River Analysis System (HEC-RAS) version 4.1.0 and incorporate new field-survey data at structures, high-resolution land-surface elevation data, and flood flows from a related study.</p>\n<br/>\n<p>The models were used to simulate steady-state WSEs at the 1- and 2-percent annual exceedance probability (AEP) flows, which is the estimated AEP of the 2010 flood in the Moshassuck River Basin and the Woonasquatucket River, respectively. The simulated WSEs were compared to the high-water mark (HWM) elevation data obtained in these basins in a related study following the March–April 2010 flood, which included 18 HWMs along the Moshassuck River and 45 HWMs along the Woonasquatucket River. Differences between the 2010 HWMs and the simulated 2- and 1-percent AEP WSEs from the FISs and the updated models developed in this study varied along the reach. Most differences could be attributed to the magnitude of the 2- and 1-percent AEP flows used in the FIS and updated model flows. Overall, the updated model and the FIS WSEs were not appreciably different when compared to the observed 2010 HWMs along the Woonasquatucket and Moshassuck Rivers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135191","collaboration":"Prepared in cooperation with the U.S. Department of Homeland Security-Federal Emergency Management Agency","usgsCitation":"Zarriello, P.J., Straub, D.E., and Westenbroek, S.M., 2014, Simulated and observed 2010 flood-water elevations in selected river reaches in the Moshassuck and Woonasquatucket River Basins, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2013-5191, Report: v, 35 p.; Tables 3 and 4; Appendix 1, https://doi.org/10.3133/sir20135191.","productDescription":"Report: v, 35 p.; Tables 3 and 4; Appendix 1","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042651","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":281550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135191.jpg"},{"id":281546,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5191/"},{"id":281547,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5191/pdf/sir2013-5191.pdf"},{"id":281548,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5191/tables/sir2013-5191_Tables3and4.xlsx"},{"id":281549,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5191/appendix/sir2013-5191_Appendix1.xls"}],"projection":"Polyconic projection","datum":"North American Datum of 1983","country":"United States","state":"Rhode Island","otherGeospatial":"East Branch West River;Lincoln Downs Brook;Moshassuck River Basin;Upper Canada Brook;West River;Woonasquatucket River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.698837,41.7498 ], [ -71.698837,42.022263 ], [ -71.29921,42.022263 ], [ -71.29921,41.7498 ], [ -71.698837,41.7498 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72c5e4b0b29085108858","contributors":{"authors":[{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, David E. destraub@usgs.gov","contributorId":1908,"corporation":false,"usgs":true,"family":"Straub","given":"David","email":"destraub@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":489301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489302,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70073955,"text":"sir20135193 - 2014 - Simulated and observed 2010 floodwater elevations in the Pawcatuck and Wood Rivers, Rhode Island","interactions":[],"lastModifiedDate":"2014-01-24T15:16:45","indexId":"sir20135193","displayToPublicDate":"2014-01-24T15:08:39","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":"2013-5193","title":"Simulated and observed 2010 floodwater elevations in the Pawcatuck and Wood Rivers, Rhode Island","docAbstract":"Heavy, persistent rains from late February through March 2010 caused severe flooding that set, or nearly set, peaks of record for streamflows and water levels at many long-term U.S. Geological Survey streamgages in Rhode Island. In response to this flood, hydraulic models of Pawcatuck River (26.9 miles) and Wood River (11.6 miles) were updated from the most recent approved U.S. Department of Homeland Security-Federal Emergency Management Agency flood insurance study (FIS) to simulate water-surface elevations (WSEs) for specified flows and boundary conditions. The hydraulic models were updated to Hydrologic Engineering Center-River Analysis System (HEC-RAS) using steady-state simulations and incorporate new field-survey data at structures, high resolution land-surface elevation data, and updated flood flows from a related study. The models were used to simulate the 0.2-percent annual exceedance probability (AEP) flood, which is the AEP determined for the 2010 flood in the Pawcatuck and Wood Rivers. The simulated WSEs were compared to high-water mark (HWM) elevation data obtained in a related study following the March–April 2010 flood, which included 39 HWMs along the Pawcatuck River and 11 HWMs along the Wood River. The 2010 peak flow generally was larger than the 0.2-percent AEP flow, which, in part, resulted in the FIS and updated model WSEs to be lower than the 2010 HWMs. The 2010 HWMs for the Pawcatuck River averaged about 1.6 feet (ft) higher than the 0.2-percent AEP WSEs simulated in the updated model and 2.5 ft higher than the WSEs in the FIS. The 2010 HWMs for the Wood River averaged about 1.3 ft higher than the WSEs simulated in the updated model and 2.5 ft higher than the WSEs in the FIS. The improved agreement of the updated simulated water elevations to observed 2010 HWMs provides a measure of the hydraulic model performance, which indicates the updated models better represent flooding at other AEPs than the existing FIS models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135193","collaboration":"Prepared in cooperation with the U.S. Department of Homeland Security-Federal Emergency Management Agency","usgsCitation":"Zarriello, P.J., Straub, D.E., and Smith, T.E., 2014, Simulated and observed 2010 floodwater elevations in the Pawcatuck and Wood Rivers, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2013-5193, Report: v, 24 p.; 1 Excel document; 1 Appendix, https://doi.org/10.3133/sir20135193.","productDescription":"Report: v, 24 p.; 1 Excel document; 1 Appendix","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":281527,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5193/pdf/sir2013-5193.pdf"},{"id":281526,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5193/"},{"id":281529,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5193/Tables/sir2013-5193_Tables3and4.xlsx"},{"id":281531,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5193/Appendix/sir2013-5193_Appendix1.xls"},{"id":281532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135193.jpg"}],"scale":"24000","projection":"Rhode Island State Plane Projection","datum":"North American Datum 1983","country":"United States","state":"Rhode Island","otherGeospatial":"Pawcatuck River;Wood River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72,41.16 ], [ -72,41.75 ], [ -71.3,41.75 ], [ -71.3,41.16 ], [ -72,41.16 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72c6e4b0b2908510885c","contributors":{"authors":[{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, David E. destraub@usgs.gov","contributorId":1908,"corporation":false,"usgs":true,"family":"Straub","given":"David","email":"destraub@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":489278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Thor E. tesmith@usgs.gov","contributorId":3925,"corporation":false,"usgs":true,"family":"Smith","given":"Thor","email":"tesmith@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70073954,"text":"sir20135192 - 2014 - Simulated and observed 2010 floodwater elevations in selected river reaches in the Pawtuxet River Basin, Rhode Island","interactions":[],"lastModifiedDate":"2014-01-24T15:17:33","indexId":"sir20135192","displayToPublicDate":"2014-01-24T15:07:00","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":"2013-5192","title":"Simulated and observed 2010 floodwater elevations in selected river reaches in the Pawtuxet River Basin, Rhode Island","docAbstract":"Heavy, persistent rains from late February through March 2010 caused severe flooding that set, or nearly set, peaks of record for streamflows and water levels at many long-term streamgages in Rhode Island. In response to this event, hydraulic models were updated for selected reaches covering about 56 river miles in the Pawtuxet River Basin to simulate water-surface elevations (WSEs) at specified flows and boundary conditions. Reaches modeled included the main stem of the Pawtuxet River, the North and South Branches of the Pawtuxet River, Pocasset River, Simmons Brook, Dry Brook, Meshanticut Brook, Furnace Hill Brook, Flat River, Quidneck Brook, and two unnamed tributaries referred to as South Branch Pawtuxet River Tributary A1 and Tributary A2. All the hydraulic models were updated to Hydrologic Engineering Center-River Analysis System (HEC-RAS) version 4.1.0 using steady-state simulations. Updates to the models included incorporation of new field-survey data at structures, high resolution land-surface elevation data, and updated flood flows from a related study.\n\nThe models were assessed using high-water marks (HWMs) obtained in a related study following the March– April 2010 flood and the simulated water levels at the 0.2-percent annual exceedance probability (AEP), which is the estimated AEP of the 2010 flood in the basin. HWMs were obtained at 110 sites along the main stem of the Pawtuxet River, the North and South Branches of the Pawtuxet River, Pocasset River, Simmons Brook, Furnace Hill Brook, Flat River, and Quidneck Brook. Differences between the 2010 HWM elevations and the simulated 0.2-percent AEP WSEs from flood insurance studies (FISs) and the updated models developed in this study varied with most differences attributed to the magnitude of the 0.2-percent AEP flows. WSEs from the updated models generally are in closer agreement with the observed 2010 HWMs than with the FIS WSEs. The improved agreement of the updated simulated water elevations to observed 2010 HWMs provides a measure of the hydraulic model performance, which indicates the updated models better represent flooding at other AEPs than the existing FIS models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135192","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Department of Homeland Security-Federal Emergency Management Agency","usgsCitation":"Zarriello, P.J., Olson, S.A., Flynn, R.H., Strauch, K.R., and Murphy, E., 2014, Simulated and observed 2010 floodwater elevations in selected river reaches in the Pawtuxet River Basin, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2013-5192, Report: vii, 49 p.; Tables 3 and 4; Appendix 1, https://doi.org/10.3133/sir20135192.","productDescription":"Report: vii, 49 p.; Tables 3 and 4; Appendix 1","numberOfPages":"62","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":281528,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5192/"},{"id":281530,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5192/tables/sir2013-5192_tables03-04.xls"},{"id":281534,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5192/appendix/sir2013-5192_apend01.xls"},{"id":281535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135192.jpg"},{"id":281533,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5192/pdf/sir2013-5192.pdf"}],"scale":"24000","projection":"Polyconic Projection","datum":"North American Datum 1983","country":"United States","state":"Rhode Island","otherGeospatial":"Pawtuxent River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.75,41.5 ], [ -71.75,42.0 ], [ -71.25,42.0 ], [ -71.25,41.5 ], [ -71.75,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd72c5e4b0b2908510885a","contributors":{"authors":[{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Robert H. rflynn@usgs.gov","contributorId":2137,"corporation":false,"usgs":true,"family":"Flynn","given":"Robert","email":"rflynn@usgs.gov","middleInitial":"H.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":489276,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70059198,"text":"sir20135237 - 2014 - Approaches for evaluating the effects of bivalve filter feeding on nutrient dynamics in Puget Sound, Washington","interactions":[],"lastModifiedDate":"2014-01-24T12:01:15","indexId":"sir20135237","displayToPublicDate":"2014-01-24T11:54:00","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":"2013-5237","title":"Approaches for evaluating the effects of bivalve filter feeding on nutrient dynamics in Puget Sound, Washington","docAbstract":"Marine bivalves such as clams, mussels, and oysters are an important component of the food web, which influence nutrient dynamics and water quality in many estuaries. The role of bivalves in nutrient dynamics and, particularly, the contribution of commercial shellfish activities, are not well understood in Puget Sound, Washington. Numerous approaches have been used in other estuaries to quantify the effects of bivalves on nutrient dynamics, ranging from simple nutrient budgeting to sophisticated numerical models that account for tidal circulation, bioenergetic fluxes through food webs, and biochemical transformations in the water column and sediment. For nutrient management in Puget Sound, it might be possible to integrate basic biophysical indicators (residence time, phytoplankton growth rates, and clearance rates of filter feeders) as a screening tool to identify places where nutrient dynamics and water quality are likely to be sensitive to shellfish density and, then, apply more sophisticated methods involving in-situ measurements and simulation models to quantify those dynamics.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135237","collaboration":"Prepared in cooperation with the Washington State Department of Ecology","usgsCitation":"Konrad, C.P., 2014, Approaches for evaluating the effects of bivalve filter feeding on nutrient dynamics in Puget Sound, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5237, v, 22 p., https://doi.org/10.3133/sir20135237.","productDescription":"v, 22 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-050813","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":281491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135237.PNG"},{"id":281489,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5237/"},{"id":281490,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5237/pdf/sir20135237.pdf"}],"projection":"Lambert Conformal Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5495,46.9971 ], [ -123.5495,48.4993 ], [ -121.778,48.4993 ], [ -121.778,46.9971 ], [ -123.5495,46.9971 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4db6e4b0b290850f1a66","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487519,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048463,"text":"70048463 - 2014 - Crustal earthquake triggering by pre-historic great earthquakes on subduction zone thrusts","interactions":[],"lastModifiedDate":"2014-03-28T09:56:39","indexId":"70048463","displayToPublicDate":"2014-01-24T11:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Crustal earthquake triggering by pre-historic great earthquakes on subduction zone thrusts","docAbstract":"Triggering of earthquakes on upper plate faults during and shortly after recent great (<i>M></i>8.0) subduction thrust earthquakes raises concerns about earthquake triggering following Cascadia subduction zone earthquakes. Of particular regard to Cascadia was the previously noted, but only qualitatively identified, clustering of <i>M></i>~6.5 crustal earthquakes in the Puget Sound region between about 1200–900 cal yr B.P. and the possibility that this was triggered by a great Cascadia thrust subduction thrust earthquake, and therefore portends future such clusters. We confirm quantitatively the extraordinary nature of the Puget Sound region crustal earthquake clustering between 1200–900 cal yr B.P., at least over the last 16,000. We conclude that this cluster was not triggered by the penultimate, and possibly full-margin, great Cascadia subduction thrust earthquake. However, we also show that the paleoseismic record for Cascadia is consistent with conclusions of our companion study of the global modern record outside Cascadia, that <i>M></i>8.6 subduction thrust events have a high probability of triggering at least one or more <i>M></i>~6.5 crustal earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/2013JB010635","usgsCitation":"Sherrod, B.L., and Gomberg, J., 2014, Crustal earthquake triggering by pre-historic great earthquakes on subduction zone thrusts: Journal of Geophysical Research B: Solid Earth, v. 119, no. 2, p. 1273-1294, https://doi.org/10.1002/2013JB010635.","productDescription":"22 p.","startPage":"1273","endPage":"1294","numberOfPages":"22","ipdsId":"IP-051209","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":282350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282349,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JB010635"}],"country":"United States","otherGeospatial":"Cascadia;Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 135.0,32.0 ], [ 135.0,52.0 ], [ -119.0,52.0 ], [ -119.0,32.0 ], [ 135.0,32.0 ] ] ] } } ] }","volume":"119","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-25","publicationStatus":"PW","scienceBaseUri":"53517031e4b05569d805a1ac","contributors":{"authors":[{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":484728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan","contributorId":77919,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","affiliations":[],"preferred":false,"id":484729,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175509,"text":"70175509 - 2014 - Water, ice and mud: Lahars and lahar hazards at ice- and snow-clad volcanoes","interactions":[],"lastModifiedDate":"2019-03-14T08:48:12","indexId":"70175509","displayToPublicDate":"2014-01-24T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3877,"text":"Geology Today","active":true,"publicationSubtype":{"id":10}},"title":"Water, ice and mud: Lahars and lahar hazards at ice- and snow-clad volcanoes","docAbstract":"<p><span>Large-volume lahars are significant hazards at ice and snow covered volcanoes. Hot eruptive products produced during explosive eruptions can generate a substantial volume of melt water that quickly evolves into highly mobile flows of ice, sediment and water. At present it is difficult to predict the size of lahars that can form at ice and snow covered volcanoes due to their complex flow character and behaviour. However, advances in experiments and numerical approaches are producing new conceptual models and new methods for hazard assessment. Eruption triggered lahars that are ice-dominated leave behind thin, almost unrecognizable sedimentary deposits, making them likely to be under-represented in the geological record.</span></p>","language":"English","publisher":"Geological Society of London","publisherLocation":"Oxford","doi":"10.1111/gto.12035","usgsCitation":"Waythomas, C.F., 2014, Water, ice and mud: Lahars and lahar hazards at ice- and snow-clad volcanoes: Geology Today, v. 30, no. 1, p. 34-39, https://doi.org/10.1111/gto.12035.","productDescription":"6 p.","startPage":"34","endPage":"39","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050885","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":326541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-24","publicationStatus":"PW","scienceBaseUri":"57b4395de4b03bcb0103a022","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645531,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70059787,"text":"sir20135239 - 2014 - Linkage of the Soil and Water Assessment Tool and the Texas Water Availability Model to simulate the effects of brush management on monthly storage of Canyon Lake, south-central Texas, 1995-2010","interactions":[],"lastModifiedDate":"2016-08-05T13:15:08","indexId":"sir20135239","displayToPublicDate":"2014-01-23T16:05:00","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":"2013-5239","title":"Linkage of the Soil and Water Assessment Tool and the Texas Water Availability Model to simulate the effects of brush management on monthly storage of Canyon Lake, south-central Texas, 1995-2010","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Texas State Soil and Water Conservation Board, developed and applied an approach to create a linkage between the published upper Guadalupe River Soil Water Assessment Tool (SWAT) brush-management (ashe juniper [<i>Juniperus ashei</i>]) model and the full authorization version Guadalupe River Water Availability Model (WAM). The SWAT model was published by the USGS, and the Guadalupe River WAM is available from the Texas Commission on Environmental Quality. The upper Guadalupe River watershed is a substantial component of the Guadalupe River WAM. This report serves in part as documentation of a proof of concept on the feasibility of linking these two water-resources planning models for the purpose of simulating possible increases in water storage in Canyon Lake as a result of different brush-management scenarios.</p>\n<p>The SWAT-WAM linkage for the upper Guadalupe River is documented with a principal objective to evaluate the distributional characteristics of the monthly water storage of Canyon Lake during selected drought conditions. Focus is on the relative evaluation of select scenarios of large-scale or &ldquo;extensive&rdquo; brush management within the upper Guadalupe River watershed. There are six SWAT simulations for the upper Guadalupe River watershed that include a baseline (0-percent management of treatable ashe juniper, the baseline scenario from a previous study in which no percentage of ashe juniper is numerically replaced with grassland) along with five scenarios (extensions of SWAT simulations from a previous study) of 20-, 40-, 60-, 80-, and 100-percent random (numerical) replacement of treatable ashe juniper with grasslands throughout the upper Guadalupe River watershed in south-central Texas.</p>\n<p>SWAT is a process-based, semidistributed, water-balance model designed to predict the effects of landscape management decisions on water yields. A watershed is subdivided into subbasins, and each subbasin is associated with a single reach on the stream network. In general a WAM, such as the Guadalupe River WAM, provides analysis of generalized water rights in a river and reservoir framework. A WAM accommodates hydrology and water usage through several input files containing water rights, watershed parameters, and naturalized streamflow time series. A WAM is generalized for application to rivers and reservoir systems, and input datasets are uniquely developed for a river basin of concern.</p>\n<p>The extractions of SWAT output for the five extensive brush-management and baseline scenarios were offset by &ndash;21 years and, in general, the results were then mapped to the WAM input-flow file. The offset of &ndash;21 years was chosen arbitrarily for technical reasons and means that the period of monthly record 1995&ndash;2010 of the upper Guadalupe River SWAT became the synthetic period of monthly record 1974&ndash;89, hereinafter 1974&ndash;89 (synthetic) period, of the Guadalupe River WAM.</p>\n<p>The relative (between scenario to baseline) effects of extensive brush-management scenarios by using the SWAT-WAM linkage were evaluated, and two critical intermediate results were total inflow to Canyon Lake from 1995 to 2010 and the monthly storage of Canyon Lake from 1974 to 1989 (synthetic). The first quartile or lower 25th percentile of monthly storage of Canyon Lake for the baseline scenario is 381,000 acre-feet (acre-ft) for the hereinafter 1974&ndash;89 (synthetic) period. This lower quartile was chosen for analysis for two critical purposes. First, Canyon Lake is managed with a conservation pool of about 386,200 acre-ft capacity (as recognized by the WAM) and is at or near conservation capacity about 50 percent or more of the time; further, there is intrinsic data censoring that occurs for the monthly storage distribution because Canyon Lake is at or near conservation pool elevation the majority of the time. This intrinsic censoring has the effect of creating a bounded distribution with a left or low-volume tail. Statistical assessment of the brush-management scenarios beginning with the 381,000 acre-ft censoring threshold provides readily interpretable results. Second, the quantification of brush management during periods lacking abundant rainfall, which were defined in this study as months for which Canyon Lake storage was below the 25th percentile for the simulation period, are of substantial interest to water-resource managers and stakeholders in the context of water-supply enhancement.</p>\n<p>A statistical assessment of the SWAT-WAM linkage for the low-volume tail of the distribution of monthly storage of Canyon Lake is the focus of analysis and interpretation. Drought periods for the analysis are defined as the months (consecutive or not) during which Canyon Lake is below the 25th percentile of storage (381,000 acre-ft) for the baseline scenario. Such months are referred to as being within the &ldquo;Drought Quartile.&rdquo; The Drought Quartile is a conceptual and heuristically determined waypoint for the analysis and is not related to any administrative definition of drought by stakeholders or policy makers.</p>\n<p>The five scenarios and the baseline scenario simulated in the upper Guadalupe River SWAT were all passed through the Guadalupe River WAM by the SWAT-WAM linkage described in this report. A comparison of the mean increase per month in reservoir storage for Canyon Lake conditioned for the Drought Quartile was made. For each of the five brush-management and baseline scenarios, the months with storage below 381,000 acre-ft were extracted. The mean monthly storages during the Drought Quartile were computed for each of the five scenarios and the baseline scenario. The mean of the baseline scenario was 376,458 acre-ft and subsequently was subtracted from the mean monthly storage during the Drought Quartile for each of the five scenarios.</p>\n<p>The mean monthly offset storages of Canyon Lake during the Drought Quartile were 110 acre-ft (20 percent); 448 acre-ft (40 percent); 754 acre-ft (60 percent); 1,080 acre-ft (80 percent); and 1,090 acre-ft (100 percent). A particular mean was interpreted as follows: the value of 754 acre-ft for the 60-percent brush-management scenario implies that, on average, this scenario indicates an additional 754 acre-ft per month of storage in Canyon Lake relative to the baseline during the Drought Quartile. All of the five scenarios resulted in an increase on average to water supply relative to the baseline scenario during the Drought Quartile through the SWAT-WAM linkage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135239","collaboration":"Prepared in cooperation with the Texas State Soil and Water Conservation Board","usgsCitation":"Asquith, W.H., and Bumgarner, J.R., 2014, Linkage of the Soil and Water Assessment Tool and the Texas Water Availability Model to simulate the effects of brush management on monthly storage of Canyon Lake, south-central Texas, 1995-2010: U.S. Geological Survey Scientific Investigations Report 2013-5239, Report: v, 25 p.; Appendixes 1-3, https://doi.org/10.3133/sir20135239.","productDescription":"Report: v, 25 p.; Appendixes 1-3","numberOfPages":"34","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1995-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-052867","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":281446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135239.jpg"},{"id":281444,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5239/"},{"id":281445,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5239/pdf/sir2013-5239.pdf"}],"projection":"Albers Equal Area projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Canyon Lake, Guadalupe River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0635,28.118 ], [ -100.0635,31.0012 ], [ -95.614,31.0012 ], [ -95.614,28.118 ], [ -100.0635,28.118 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd64b3e4b0b290850ff9ac","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bumgarner, Johnathan R. jbumgarner@usgs.gov","contributorId":5378,"corporation":false,"usgs":true,"family":"Bumgarner","given":"Johnathan","email":"jbumgarner@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":487825,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048661,"text":"70048661 - 2014 - Towards the definition of AMS facies in the deposits of pyroclastic density currents","interactions":[],"lastModifiedDate":"2014-04-14T14:02:40","indexId":"70048661","displayToPublicDate":"2014-01-23T11:57:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3583,"text":"The Use of Palaeomagnetism and Rock Magnetism to Understand Volcanic Processes","active":true,"publicationSubtype":{"id":10}},"title":"Towards the definition of AMS facies in the deposits of pyroclastic density currents","docAbstract":"Anisotropy of magnetic susceptibility (AMS) provides a statistically robust technique to characterize the fabrics of deposits of pyroclastic density currents (PDCs). AMS fabrics in two types of pyroclastic deposits (small-volume phreatomagmatic currents in the Hopi Buttes volcanic field, Arizona, USA, and large-volume caldera-forming currents, Caviahue Caldera, Neuquén, Argentina) show similar patterns. Near the vent and in areas of high topographical roughness, AMS depositional fabrics are poorly grouped, with weak lineations and foliations. In a densely welded proximal ignimbrite, this fabric is overprinted by a foliation formed as the rock compacted and deformed. Medial deposits have moderate–strong AMS lineations and foliations. The most distal deposits have strong foliations but weak lineations. Based on these facies and existing models for pyroclastic density currents, deposition in the medial areas occurs from the strongly sheared, high-particle-concentration base of a density-stratified current. In proximal areas and where topography mixes this denser base upwards into the current, deposition occurs rapidly from a current with little uniformity to the shear, in which particles fall and collide in a chaotic fashion. Distal deposits are emplaced by a slowing or stalled current so that the dominant particle motion is vertical, leading to weak lineation and strong foliation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Use of Palaeomagnetism and Rock Magnetism to Understand Volcanic Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/SP396.8","usgsCitation":"Ort, M., Newkirk, T., Vilas, J., and Vazquez, J., 2014, Towards the definition of AMS facies in the deposits of pyroclastic density currents: The Use of Palaeomagnetism and Rock Magnetism to Understand Volcanic Processes, v. 396, 22 p., https://doi.org/10.1144/SP396.8.","productDescription":"22 p.","numberOfPages":"22","ipdsId":"IP-049094","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473208,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/79036","text":"External Repository"},{"id":286186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286185,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/SP396.8"}],"country":"Argentina;United States","state":"Arizona;Neuqu�n","otherGeospatial":"Caviahue Caldera;Hopi Buttes Volcanic Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,-41.08 ], [ -114.82,37.0 ], [ -68.0,37.0 ], [ -68.0,-41.08 ], [ -114.82,-41.08 ] ] ] } } ] }","volume":"396","noUsgsAuthors":false,"publicationDate":"2014-01-23","publicationStatus":"PW","scienceBaseUri":"5351706ae4b05569d805a415","contributors":{"editors":[{"text":"Ort, M.H.","contributorId":25957,"corporation":false,"usgs":true,"family":"Ort","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":509620,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Porreca, Massimiliano","contributorId":17840,"corporation":false,"usgs":true,"family":"Porreca","given":"Massimiliano","email":"","affiliations":[],"preferred":false,"id":509619,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Geissman, J. W.","contributorId":105760,"corporation":false,"usgs":true,"family":"Geissman","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":509621,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Ort, M.H.","contributorId":25957,"corporation":false,"usgs":true,"family":"Ort","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":485325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newkirk, T.T.","contributorId":34427,"corporation":false,"usgs":true,"family":"Newkirk","given":"T.T.","email":"","affiliations":[],"preferred":false,"id":485326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vilas, J.F.","contributorId":59349,"corporation":false,"usgs":true,"family":"Vilas","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":485327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vazquez, J.A.","contributorId":15417,"corporation":false,"usgs":true,"family":"Vazquez","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":485324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046522,"text":"70046522 - 2014 - An enhanced archive facilitating climate impacts analysis","interactions":[],"lastModifiedDate":"2014-09-23T15:09:01","indexId":"70046522","displayToPublicDate":"2014-01-22T13:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"An enhanced archive facilitating climate impacts analysis","docAbstract":"We describe the expansion of a publicly available archive of downscaled climate and hydrology projections for the United States. Those studying or planning to adapt to future climate impacts demand downscaled climate model output for local or regional use. The archive we describe attempts to fulfill this need by providing data in several formats, selectable to meet user needs. Our archive has served as a resource for climate impacts modelers, water managers, educators, and others. Over 1,400 individuals have transferred more than 50 TB of data from the archive. In response to user demands, the archive has expanded from monthly downscaled data to include daily data to facilitate investigations of phenomena sensitive to daily to monthly temperature and precipitation, including extremes in these quantities. New developments include downscaled output from the new Coupled Model Intercomparison Project phase 5 (CMIP5) climate model simulations at both the monthly and daily time scales, as well as simulations of surface hydrologi- cal variables. The web interface allows the extraction of individual projections or ensemble statistics for user-defined regions, promoting the rapid assessment of model consensus and uncertainty for future projections of precipitation, temperature, and hydrology. The archive is accessible online (http://gdo-dcp.ucllnl.org/downscaled_ cmip_projections).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the American Meteorological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Reston, VA","doi":"10.1175/BAMS-D-13-00126.1","usgsCitation":"Maurer, E., Brekke, L., Pruitt, T., Thrasher, B., Long, J., Duffy, P., Dettinger, M., Cayan, D., and Arnold, J., 2014, An enhanced archive facilitating climate impacts analysis: Bulletin of the American Meteorological Society, v. 95, no. 7, p. 1011-1019, https://doi.org/10.1175/BAMS-D-13-00126.1.","productDescription":"9 p.","startPage":"1011","endPage":"1019","ipdsId":"IP-046357","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473209,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-13-00126.1","text":"Publisher Index Page"},{"id":294379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294378,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/BAMS-D-13-00126.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"95","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb13e4b08312ac7ceef3","contributors":{"authors":[{"text":"Maurer, E.P.","contributorId":30338,"corporation":false,"usgs":true,"family":"Maurer","given":"E.P.","email":"","affiliations":[],"preferred":false,"id":479741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brekke, L.","contributorId":65778,"corporation":false,"usgs":true,"family":"Brekke","given":"L.","email":"","affiliations":[],"preferred":false,"id":479746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, T.","contributorId":60876,"corporation":false,"usgs":true,"family":"Pruitt","given":"T.","email":"","affiliations":[],"preferred":false,"id":479745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thrasher, B.","contributorId":88665,"corporation":false,"usgs":true,"family":"Thrasher","given":"B.","email":"","affiliations":[],"preferred":false,"id":479749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, J.","contributorId":41993,"corporation":false,"usgs":true,"family":"Long","given":"J.","affiliations":[],"preferred":false,"id":479743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duffy, P.","contributorId":40435,"corporation":false,"usgs":false,"family":"Duffy","given":"P.","affiliations":[],"preferred":false,"id":479742,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettinger, M. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":78909,"corporation":false,"usgs":true,"family":"Dettinger","given":"M.","affiliations":[],"preferred":false,"id":479748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cayan, D.","contributorId":49563,"corporation":false,"usgs":true,"family":"Cayan","given":"D.","email":"","affiliations":[],"preferred":false,"id":479744,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arnold, J.","contributorId":76669,"corporation":false,"usgs":true,"family":"Arnold","given":"J.","affiliations":[],"preferred":false,"id":479747,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}