{"pageNumber":"603","pageRowStart":"15050","pageSize":"25","recordCount":69035,"records":[{"id":70048399,"text":"fs20133036 - 2013 - Water-quality and related aquatic biological characterization of Fish Creek, Teton County, Wyoming, 2007-2011","interactions":[],"lastModifiedDate":"2026-06-10T20:46:34.20797","indexId":"fs20133036","displayToPublicDate":"2013-09-25T09:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3036","title":"Water-quality and related aquatic biological characterization of Fish Creek, Teton County, Wyoming, 2007-2011","docAbstract":"<p>Fish Creek, in western Wyoming near the town of Wilson, is a key feature in the area because it is used for irrigation, fishing, and other recreation, and adds scenic value to properties it runs through. Public concern about nuisance growths of aquatic plants in Fish Creek has been increasing since the early 2000s. To address these concerns, the U.S. Geological Survey, in cooperation with the Teton Conservation District, began studying Fish Creek in 2004 to describe the hydrology of the stream and later (2007–11) to characterize the water quality and the biological communities.</p>\n</br>\n<p>In particular, the study was designed to address three specific questions:</p>\n</br>\n<p>•Is algal growth in Fish Creek typical for a stream of its size and geographic area?</p>\n<p>•Are nutrients entering Fish Creek from nearby land use?</p>\n<p>•What is the quality of the water in Fish Creek and the health of its biological communities?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133036","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C., Wheeler, J.D., Peterson, D.A., and Leemon, D.J., 2013, Water-quality and related aquatic biological characterization of Fish Creek, Teton County, Wyoming, 2007-2011: U.S. Geological Survey Fact Sheet 2013-3036, 4 p., https://doi.org/10.3133/fs20133036.","productDescription":"4 p.","numberOfPages":"4","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-045316","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":278063,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3036/pdf/fs2013-3036.pdf"},{"id":278062,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3036/"},{"id":278064,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133036.gif"},{"id":505352,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99056.htm","linkFileType":{"id":5,"text":"html"}}],"datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Fish Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.900373,43.448557 ], [ -110.900373,43.601651 ], [ -110.78021,43.601651 ], [ -110.78021,43.448557 ], [ -110.900373,43.448557 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f814e4b05b217bada005","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":484528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leemon, Daniel J.","contributorId":70090,"corporation":false,"usgs":true,"family":"Leemon","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048400,"text":"sir20135117 - 2013 - Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","interactions":[],"lastModifiedDate":"2013-09-25T09:01:14","indexId":"sir20135117","displayToPublicDate":"2013-09-25T08:57:00","publicationYear":"2013","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":"2013-5117","title":"Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","docAbstract":"<p>Fish Creek, an approximately 25-kilometer-long tributary to Snake River, is located in Teton County in western Wyoming near the town of Wilson. Fish Creek is an important water body because it is used for irrigation, fishing, and recreation and adds scenic value to the Jackson Hole properties it runs through. Public concern about nuisance growths of aquatic plants in Fish Creek has been increasing since the early 2000s. To address these concerns, the U.S. Geological Survey conducted a study in cooperation with the Teton Conservation District to characterize the hydrology, water quality, and biologic communities of Fish Creek during 2007–11.</p>\n</br>\n<p>The hydrology of Fish Creek is strongly affected by groundwater contributions from the area known as the Snake River west bank, which lies east of Fish Creek and west of Snake River. Because of this continuous groundwater discharge to the creek, land-use activities in the west bank area can affect the groundwater quality. Evaluation of nitrate isotopes and dissolved-nitrate concentrations in groundwater during the study indicated that nitrate was entering Fish Creek from groundwater, and that the source of nitrate was commonly a septic/sewage effluent or manure source, or multiple sources, potentially including artificial nitrogen fertilizers, natural soil organic matter, and mixtures of sources.</p>\n</br>\n<p>Concentrations of dissolved nitrate and orthophosphate, which are key nutrients for growth of aquatic plants, generally were low in Fish Creek and occasionally were less than reporting levels (not detected). One potential reason for the low nutrient concentrations is that nutrients were being consumed by aquatic plant life that increases during the summer growing season, as a result of the seasonal increase in temperature and larger number of daylight hours.</p>\n</br>\n<p>Several aspects of Fish Creek’s hydrology contribute to higher productivity and biovolume of aquatic plants in Fish Creek than typically observed in streams of its size in Wyoming. Especially in the winter, the proportionately large, continuous gain of groundwater into Fish Creek in the perennial section keeps most of the creek free of ice. Because sunlight can still reach the streambed in Fish Creek and the water is still flowing, aquatic plants continue to photosynthesize in the winter, albeit at a lower level of productivity. Additionally, the cobble and large gravel substrate in Fish Creek provides excellent attachment points for aquatic plants, and when combined with Fish Creek’s channel stability allows rapid growth of aquatic plants once conditions allow during the spring.</p>\n</br>\n<p>The aquatic plant community of Fish Creek was different than most streams in Wyoming in that it contains many different macrophytes—including macroalgae such as long streamers of <i>Cladophora</i>, aquatic vascular plants, and moss; most other streams in the state contain predominantly algae. From the banks of Fish Creek, the bottom of the stream sometimes appeared to be a solid green carpet. A shift was observed from higher amounts of microalgae in April/May to higher amounts macrophytes in August and October, and differences in the relative abundance of microalgae and macrophytes were statistically significant between seasons.</p>\n</br>\n<p>Differences in dissolved-nitrate concentrations and in the nitrogen-to-phosphorus ratio were significantly different between seasons, as concentrations of dissolved nitrate decreased from April/May to August and October. It is likely that dissolved-nitrate concentrations in Fish Creek were lower in August and October because macrophytes were quickly utilizing the nutrient, and a negative correlation between macro-phytes and nitrate was found.</p>\n</br>\n<p>Macroinvertebrates also were sampled because of their role as indicators of water quality and their documented responses to perturbation such as degradation of water quality and habitat. Statistically significant seasonal differences were noted in the macroinvertebrate community. Taxa richness and relative abundance of Ephemeroptera, Plecoptera, and Trichoptera, which tend to be intolerant of water-quality degradation, decreased from April/May to August; the same time period saw a corresponding increase in Diptera and noninsects, particularly Oligochaeta (worms) that are more tolerant.</p>\n</br>\n<p>Seasonal changes in macroinvertebrate functional feeding groups were significantly different. The relative abundance of gatherer-collector and scraper feeding groups decreased from April/May to August, accompanied by an increase in filterer-collector and shredders feeding groups. Seasonal changes in feeding groups might be due to the seasonal shift in aquatic plant communities, as indicated by comparison with other streams in the area that had fewer aquatic macrophytes than Fish Creek. Statistical tests of macroinvertebrate metrics indicated few differences between years or biological sampling sites on Fish Creek, although the site farthest upstream sometimes was different not only in terms of macroinvertebrates but also in streamflow, water quality, and aquatic plants.</p>\n</br>\n<p>Potential effects of contributions of additional nutrients to the Fish Creek ecosystem beyond the conditions sampled during the study period are not known. However, because virtually all of the detectable dissolved nitrate commonly was consumed by aquatic plants in August (leaving dissolved nitrate less than the reporting level in water samples), it is possible that increased nutrient contributions could cause increased growth of aquatic plants. Additional long-term monitoring of the stream, with concurrent data analysis and interpretation would be needed to determine the effects of additional nutrients on the aquatic plant community and on higher levels of the food chain.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135117","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C., Peterson, D.A., Wheeler, J.D., Edmiston, C.S., Taylor, M.L., and Leemon, D.J., 2013, Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011: U.S. Geological Survey Scientific Investigations Report 2013-5117, Report: x, 76 p.; Downloads Directory, https://doi.org/10.3133/sir20135117.","productDescription":"Report: x, 76 p.; Downloads Directory","numberOfPages":"90","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-042351","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":278058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135117.gif"},{"id":278055,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5117/"},{"id":278056,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5117/pdf/sir2013-5117.pdf"},{"id":278057,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5117/downloads/"}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Fish Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.045942,43.409662 ], [ -111.045942,43.899253 ], [ -110.359812,43.899253 ], [ -110.359812,43.409662 ], [ -111.045942,43.409662 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f7cfe4b05b217bad9fe9","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":484534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmiston, C. Scott","contributorId":30595,"corporation":false,"usgs":true,"family":"Edmiston","given":"C.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":484531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Michelle L.","contributorId":35206,"corporation":false,"usgs":true,"family":"Taylor","given":"Michelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leemon, Daniel J.","contributorId":70090,"corporation":false,"usgs":true,"family":"Leemon","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048390,"text":"70048390 - 2013 - Plant responses, climate pivot points, and trade-offs in water-limited ecosystems","interactions":[],"lastModifiedDate":"2013-09-24T15:22:01","indexId":"70048390","displayToPublicDate":"2013-09-24T15:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Plant responses, climate pivot points, and trade-offs in water-limited ecosystems","docAbstract":"Plant species in dryland ecosystems are limited by water availability and may be vulnerable to increases in aridity. Methods are needed to monitor and assess the rate of change in plant abundance and composition in relation to climate, understand the potential for degradation in dryland ecosystems, and forecast future changes in plant species assemblages. I employ nearly a century of vegetation monitoring data from three North American deserts to demonstrate an approach to determine plant species responses to climate and critical points over a range of climatic conditions at which plant species shift from increases to decreases in abundance (climate pivot points). I assess these metrics from a site to regional scale and highlight how these indicators of plant performance can be modified by the physical and biotic environment. For example, shrubs were more responsive to drought and high temperatures on shallow soils with limited capacity to store water and fine-textured soils with slow percolation rates, whereas perennial grasses were more responsive to precipitation in sparse shrublands than in relatively dense grasslands and shrublands, where competition for water is likely more intense. The responses and associated climate pivot points of plant species aligned with their lifespan and structural characteristics, and the relationship between responses and climate pivot points provides evidence of the trade-off between the capacity of a plant species to increase in abundance when water is available and its drought resistance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00132.1","usgsCitation":"Munson, S.M., 2013, Plant responses, climate pivot points, and trade-offs in water-limited ecosystems: Ecosphere, v. 4, no. 9, 15 p., https://doi.org/10.1890/ES13-00132.1.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-042024","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00132.1","text":"Publisher Index Page"},{"id":278051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278044,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00132.1"}],"country":"United States","state":"Arizona;New Mexico;Texas;Utah","otherGeospatial":"Chihuahuan Desert;Colorado Plateau;Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.48,28.97 ], [ -111.48,38.86 ], [ -102.84,38.86 ], [ -102.84,28.97 ], [ -111.48,28.97 ] ] ] } } ] }","volume":"4","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-23","publicationStatus":"PW","scienceBaseUri":"5242a696e4b096ee624641d0","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":484514,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048392,"text":"sir20135152 - 2013 - Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11","interactions":[],"lastModifiedDate":"2013-10-30T11:20:10","indexId":"sir20135152","displayToPublicDate":"2013-09-24T15:12:00","publicationYear":"2013","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":"2013-5152","title":"Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Tuscaloosa, evaluated the concentrations, loads, and yields of suspended sediment in the tributaries to Lake Tuscaloosa in west-central Alabama, from October 1, 2008, to January 31, 2012. The collection and analysis of these data will facilitate the comparison with historical data, serve as a baseline for future sediment-collection efforts, and help to identify areas of concern. Lake Tuscaloosa, at the reservoir dam, receives runoff from a drainage area of 423 square miles (mi<sup>2</sup>). Basinwide in 2006, forested land was the primary land cover (68 percent). Comparison of historical imagery with the National Land Cover Database (2001 and 2006) indicated that the greatest temporal land-use change was timber harvest. The land cover in 2006 was indicative of this change, with shrub/scrub land (12 percent) being the secondary land use in the basin. Agricultural land use (10 percent) was represented predominantly by hay and pasture or grasslands. Urban land use was minimal, accounting for 4 percent of the entire basin. The remaining 6 percent of the basin has a land use of open water or wetlands. Storm and monthly suspended-sediment samples were collected from seven tributaries to Lake Tuscaloosa: North River, Turkey Creek, Binion Creek, Pole Bridge Creek, Tierce Creek, Carroll Creek, and Brush Creek. Suspended-sediment concentrations and streamflow measurements were statistically analyzed to estimate annual suspended-sediment loads and yields from each of these contributing watersheds. Estimated annual suspended-sediment yields in 2009 were 360, 540, and 840 tons per square mile (tons/mi<sup>2</sup>) at the North River, Turkey Creek, and Carroll Creek streamflow-gaging stations, respectively. Estimated annual suspended-sediment yields in 2010 were 120 and 86 tons/mi<sup>2</sup> at the Binion Creek and Pole Bridge Creek streamflow-gaging stations, respectively. Estimated annual suspended-sediment yields in 2011 were 190 and 300 tons/mi<sup>2</sup> at the Tierce Creek and Brush Creek streamflow-gaging stations, respectively. The North River watershed at the streamflow-gaging station contributes 53 percent of the drainage area for Lake Tuscaloosa. A previous study in the 1970s analyzed streamflow and historical suspended-sediment samples to estimate a long-term average suspended-sediment yield of 300 tons per year per square mile in the North River watershed. Analysis of data collected in the North River watershed during the 2009 water year (October 2008 to September 2009) estimated a sediment yield of 360 tons/mi<sup>2</sup>. The North River watershed, a major portion of the Lake Tuscaloosa drainage basin, has not experienced a substantial increase in sedimentation rates. During the 2009 water year, the Turkey Creek watershed (6.16 mi<sup>2</sup>) and the Carroll Creek watershed (20.9 mi<sup>2</sup>) produced greater suspended-sediment yields than the North River watershed but contribute a much smaller drainage area to Lake Tuscaloosa. Aerial photography and bathymetric surveys indicate that Carroll Creek has experienced increased sediment deposition in the upstream portions of the channel. Carroll Creek is also the only watershed in the current study that has a substantial percentage (11 percent) of urban","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135152","collaboration":"Prepared in cooperation with City of Tuscaloosa","usgsCitation":"Lee, K., 2013, Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11: U.S. Geological Survey Scientific Investigations Report 2013-5152, viii, 65 p., https://doi.org/10.3133/sir20135152.","productDescription":"viii, 65 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":278054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135152.gif"},{"id":278049,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5152/"},{"id":278050,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5152/pdf/sir2013-5152.pdf"}],"scale":"100000","country":"United States","state":"Alabama","county":"Fayette County;Tuscaloosa County","otherGeospatial":"Lake Tuscaloosa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.952094,32.636200 ], [ -87.952094,33.919871 ], [ -86.427100,33.919871 ], [ -86.427100,32.636200 ], [ -87.952094,32.636200 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a695e4b096ee624641c0","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":484517,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048388,"text":"ds793 - 2013 - Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas","interactions":[],"lastModifiedDate":"2026-05-20T19:16:55.166228","indexId":"ds793","displayToPublicDate":"2013-09-24T14:21:00","publicationYear":"2013","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":"793","title":"Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas","docAbstract":"<p>The U.S. Geological Survey (USGS) in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District has produced a series of annual reports depicting groundwater-level altitudes in the Chicot, Evangeline, and Jasper aquifers of the Gulf Coast aquifer system in the Houston-Galveston region, Texas. To produce these annual reports, contours of equal water-level altitudes are created from water levels measured between December and March of each year from groundwater wells screened completely within one of these three aquifers. Information obtained from maps published in the annual series of USGS reports and geospatial datasets of water-level altitude contours used to create the annual series of USGS reports were compiled into a comprehensive geodatabase. The geospatial compilation contains 88 datasets from previously published contour maps showing water-level altitudes for each primary aquifer of the Gulf Coast aquifer system, 37 for the Chicot (1977&ndash;2013), 37 for the Evangeline aquifer (1977&ndash;2013), and 14 for the Jasper aquifer (2000&ndash;13).</p>\n<p>Maps were georeferenced and digitized where existing geographic information system (GIS) data were unavailable (1977&ndash;89, 1991, 1995&ndash;99). Existing GIS data available for 1990, 1992&ndash;94, and 2000&ndash;13 were included in the geodatabase. The feature classes were organized into three feature datasets by principal aquifer: Chicot, Evangeline, and Jasper aquifers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds793","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Johnson, M., and Ellis, R.H., 2013, Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas: U.S. Geological Survey Data Series 793, HTML Document; Downloads Directory, https://doi.org/10.3133/ds793.","productDescription":"HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1977-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":504583,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99050.htm","linkFileType":{"id":5,"text":"html"}},{"id":278040,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/793/"},{"id":278041,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/793/downloads/"},{"id":278042,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds793.PNG"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Texas","county":"Fort Bend County, Harris County, Montgomery County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.3505859375,\n              29.554345125748267\n            ],\n            [\n              -94.52636718749999,\n              30.031055426540206\n            ],\n            [\n              -94.7021484375,\n              30.29701788337205\n            ],\n            [\n              -94.976806640625,\n              30.675715404167743\n            ],\n            [\n              -95.07568359375,\n              30.829139422013956\n            ],\n            [\n              -95.25970458984374,\n              30.954057859276126\n            ],\n            [\n              -95.614013671875,\n              30.95876857077987\n            ],\n            [\n              -96.064453125,\n              30.798474179567823\n            ],\n            [\n              -96.2841796875,\n              30.64027517241868\n            ],\n            [\n              -96.3446044921875,\n              30.462879341709886\n            ],\n            [\n              -96.2237548828125,\n              30.073847754270204\n            ],\n            [\n              -96.03149414062499,\n              29.410890376109\n            ],\n            [\n              -95.82275390625,\n              29.080175989623203\n            ],\n            [\n              -95.6304931640625,\n              28.9072060763367\n            ],\n            [\n              -95.3558349609375,\n              28.8831596093235\n            ],\n            [\n              -94.7515869140625,\n              29.291189838184863\n            ],\n            [\n              -94.3505859375,\n              29.554345125748267\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a695e4b096ee624641c4","contributors":{"authors":[{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Robert H.H.","contributorId":9170,"corporation":false,"usgs":true,"family":"Ellis","given":"Robert","email":"","middleInitial":"H.H.","affiliations":[],"preferred":false,"id":484512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154866,"text":"70154866 - 2013 - Evaluating changes to reservoir rule curves using historical water-level data","interactions":[],"lastModifiedDate":"2015-07-10T11:41:13","indexId":"70154866","displayToPublicDate":"2013-09-24T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3876,"text":"International Journal of River Basin Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating changes to reservoir rule curves using historical water-level data","docAbstract":"<p>Flood control reservoirs are typically managed through rule curves (i.e. target water levels) which control the storage and release timing of flood waters. Changes to rule curves are often contemplated and requested by various user groups and management agencies with no information available about the actual flood risk of such requests. Methods of estimating flood risk in reservoirs are not easily available to those unfamiliar with hydrological models that track water movement through a river basin. We developed a quantile regression model that uses readily available daily water-level data to estimate risk of spilling. Our model provided a relatively simple process for estimating the maximum applicable water level under a specific flood risk for any day of the year. This water level represents an upper-limit umbrella under which water levels can be operated in a variety of ways. Our model allows the visualization of water-level management under a user-specified flood risk and provides a framework for incorporating the effect of a changing environment on water-level management in reservoirs, but is not designed to replace existing hydrological models. The model can improve communication and collaboration among agencies responsible for managing natural resources dependent on reservoir water levels.</p>","language":"English","publisher":"International Association of Hydraulic Engineering and Research","publisherLocation":"Madrid, Spain","doi":"10.1080/15715124.2013.823979","usgsCitation":"Mower, E., and Miranda, L.E., 2013, Evaluating changes to reservoir rule curves using historical water-level data: International Journal of River Basin Management, v. 11, no. 3, p. 323-328, https://doi.org/10.1080/15715124.2013.823979.","productDescription":"6 p.","startPage":"323","endPage":"328","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048954","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecb1e4b0183d66e43039","contributors":{"authors":[{"text":"Mower, Ethan","contributorId":143702,"corporation":false,"usgs":false,"family":"Mower","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":564617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048381,"text":"sir20135132 - 2013 - Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:21:01","indexId":"sir20135132","displayToPublicDate":"2013-09-24T12:36:00","publicationYear":"2013","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":"2013-5132","title":"Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12","docAbstract":"Fourteen monitoring wells completed in the Uinta and Green River Formations in the Piceance Creek and Yellow Creek watersheds in Rio Blanco County, Colorado, were sampled for chemical, isotopic, and groundwater-age tracers to provide information on the overall groundwater quality, the occurrence and distribution of chemicals that could be related to the development of underlying natural-gas reservoirs, and to better understand groundwater residence times in the flow system. Methane concentrations in groundwater ranged from less than 0.0005 to 387 milligrams per liter. The methane was predominantly biogenic in origin, although the biogenic methane was mixed with thermogenic methane in water from seven wells. Three BTEX compounds (benzene, toluene, and ethylbenzene) were detected in water from six of the wells, but none of the concentrations exceeded Federal drinking-water standards. The presence of thermogenic methane in the aquifers indicates a connection and vulnerability to chemicals in deeper geologic units. Helium-4 data indicate that groundwater had ages ranging from less than 1,000 years to greater than 50,000 years. The presence of old groundwater in parts of the aquifers indicates that these aquifers may not be useful for large-scale water supply because of low recharge rates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135132","collaboration":"Prepared in cooperation with the Bureau of Land Management, White River Field Office","usgsCitation":"McMahon, P., Thomas, J., and Hunt, A., 2013, Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5132, viii, 86 p., https://doi.org/10.3133/sir20135132.","productDescription":"viii, 86 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70048381.gif"},{"id":278035,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5132/"},{"id":278034,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5132/pdf/sir2013-5132.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 13 North","country":"United States","state":"Colorado","county":"Rio Blanco County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.882751,39.627375 ], [ -108.882751,40.110113 ], [ -107.998352,40.110113 ], [ -107.998352,39.627375 ], [ -108.882751,39.627375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f241e4b0bc0bec0a028c","contributors":{"authors":[{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":484486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, J.C.","contributorId":95435,"corporation":false,"usgs":true,"family":"Thomas","given":"J.C.","affiliations":[],"preferred":false,"id":484488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, A.G.","contributorId":68691,"corporation":false,"usgs":true,"family":"Hunt","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":484487,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048380,"text":"fs20133047 - 2013 - Chemistry and age of groundwater in the Piceance structural basin, Rio Blanco County, Colorado, 2010-12","interactions":[],"lastModifiedDate":"2026-06-11T13:20:41.699025","indexId":"fs20133047","displayToPublicDate":"2013-09-24T12:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3047","title":"Chemistry and age of groundwater in the Piceance structural basin, Rio Blanco County, Colorado, 2010-12","docAbstract":"Fourteen monitoring wells were sampled by the U.S. Geological Survey, in cooperation with the Bureau of Land Management, to better understand the chemistry and age of groundwater in the Piceance structural basin in Rio Blanco County, Colorado, and how they may relate to the development of underlying natural-gas reservoirs. Natural gas extraction in the area has been ongoing since at least the 1950s, and the area contains about 960 producing, shut-in, and abandoned natural-gas wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133047","usgsCitation":"McMahon, P.B., Thomas, J.C., and Hunt, A.G., 2013, Chemistry and age of groundwater in the Piceance structural basin, Rio Blanco county, Colorado, 2010-12: U.S. Geological Survey Fact Sheet 2013-3047, 6 p., https://doi.org/10.3133/fs20133047.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","temporalStart":"2010-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":505358,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99049.htm","linkFileType":{"id":5,"text":"html"}},{"id":278033,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133047.PNG"},{"id":278031,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3047/"},{"id":278032,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3047/pdf/fs2013-3047.pdf"}],"country":"United States","state":"Colorado","county":"Rio Blanco County","otherGeospatial":"Piceance Structural Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.75,39.666667 ], [ -108.75,40.166667 ], [ -107.75,40.166667 ], [ -107.75,39.666667 ], [ -108.75,39.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a693e4b096ee624641b8","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":484485,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048369,"text":"70048369 - 2013 - Diel horizontal migration in streams: juvenile ﬁsh exploit spatial heterogeneity in thermal and trophic resources","interactions":[],"lastModifiedDate":"2013-09-24T10:36:00","indexId":"70048369","displayToPublicDate":"2013-09-24T10:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Diel horizontal migration in streams: juvenile ﬁsh exploit spatial heterogeneity in thermal and trophic resources","docAbstract":"Vertical heterogeneity in the physical characteristics of lakes and oceans is ecologically salient and exploited by a wide range of taxa through diel vertical migration to enhance their growth and survival. Whether analogous behaviors exploit horizontal habitat heterogeneity in streams is largely unknown. We investigated fish movement behavior at daily timescales to explore how individuals integrated across spatial variation in food abundance and water temperature. Juvenile coho salmon made feeding forays into cold habitats with abundant food, and then moved long distances (350–1300 m) to warmer habitats that accelerated their metabolism and increased their assimilative capacity. This behavioral thermoregulation enabled fish to mitigate trade-offs between trophic and thermal resources by exploiting thermal heterogeneity. Fish that exploited thermal heterogeneity grew at substantially faster rates than did individuals that assumed other behaviors. Our results provide empirical support for the importance of thermal diversity in lotic systems, and emphasize the importance of considering interactions between animal behavior and habitat heterogeneity when managing and restoring ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Ecological Society of America","doi":"10.1890/12-1200.1","usgsCitation":"Armstrong, J., Schindler, D.E., Ruff, C.P., Brooks, G.T., Bentley, K., and Torgersen, C., 2013, Diel horizontal migration in streams: juvenile ﬁsh exploit spatial heterogeneity in thermal and trophic resources: Ecology, v. 94, no. 9, p. 2066-2075, https://doi.org/10.1890/12-1200.1.","productDescription":"10 p.","startPage":"2066","endPage":"2075","numberOfPages":"10","ipdsId":"IP-045091","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":278026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1200.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Wood River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.4644,58.6596 ], [ -159.4644,59.7518 ], [ -156.6125,59.7518 ], [ -156.6125,58.6596 ], [ -159.4644,58.6596 ] ] ] } } ] }","volume":"94","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a694e4b096ee624641bc","contributors":{"authors":[{"text":"Armstrong, Jonathan B.","contributorId":98567,"corporation":false,"usgs":true,"family":"Armstrong","given":"Jonathan B.","affiliations":[],"preferred":false,"id":484456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruff, Casey P.","contributorId":13065,"corporation":false,"usgs":true,"family":"Ruff","given":"Casey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Gabriel T.","contributorId":27713,"corporation":false,"usgs":true,"family":"Brooks","given":"Gabriel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":484452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bentley, Kale E.","contributorId":60942,"corporation":false,"usgs":true,"family":"Bentley","given":"Kale E.","affiliations":[],"preferred":false,"id":484454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":484453,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70126613,"text":"70126613 - 2013 - Response of cackling geese (<i>Branta hutchinsii taverneri</i> to spatial and temporal variation in production of crowberries on the Alaska Peninsula","interactions":[],"lastModifiedDate":"2018-06-12T21:18:27","indexId":"70126613","displayToPublicDate":"2013-09-24T08:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Response of cackling geese (<i>Branta hutchinsii taverneri</i> to spatial and temporal variation in production of crowberries on the Alaska Peninsula","docAbstract":"Arctic geese often feed on berries during premigratory fattening. We hypothesized that during autumn staging on the Alaska Peninsula, the distribution of Taverne's cackling geese (<i>Branta hutchinsii taverneri</i>) would be correlated with spatial variation in crowberry (<i>Empetrum nigrum</i>) abundance. We also predicted that daily rates of fat increase among cackling geese would be higher in years when crowberries were abundant, compared to years when the crowberry crop was poor. Apparent distribution of geese based on fecal densities mirrored patterns of berry abundance, with areas that had highest densities of crowberries being used most heavily by geese. In areas where apparent use was greatest, geese consumed approximately 30 % of the berry crop between early September and mid-October. From 1999 to 2002, annual mean crowberry density in early September ranged from 205 berries m<sup>-2</sup> (1999) to 12 berries m<sup>-2</sup> (2002). Daily rates of lipid increase averaged 7.6 g day<sup>-1</sup> for juvenile and 11.4 g<sup>-1</sup> day for adult cackling geese and did not differ among years despite a >90 % difference in annual berry abundance. Although cackling geese used areas with higher densities of berries and apparently consumed a relatively large percentage of the crowberry crop, we could not detect an effect of annual variation in berry abundance on rates of fattening. Berries may have provided relatively little metabolizable biomass due to their high (90 %) water content. However, consumption of crowberries may provide geese with other physiological benefits such as water for osmoregulation or antioxidants and fatty acids that contribute to metabolic performance during migration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Polar Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00300-013-1343-3","usgsCitation":"Hupp, J.W., Safine, D.E., and Nielson, R.M., 2013, Response of cackling geese (<i>Branta hutchinsii taverneri</i> to spatial and temporal variation in production of crowberries on the Alaska Peninsula: Polar Biology, v. 36, no. 9, p. 1243-1255, https://doi.org/10.1007/s00300-013-1343-3.","productDescription":"13 p.","startPage":"1243","endPage":"1255","ipdsId":"IP-044787","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":294406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294404,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00300-013-1343-3"},{"id":294405,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s00300-013-1343-3"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaskan Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -162.61,55.1 ], [ -162.61,59.78 ], [ -153.42,59.78 ], [ -153.42,55.1 ], [ -162.61,55.1 ] ] ] } } ] }","volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"5423dd23e4b037b608f9d459","contributors":{"authors":[{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Safine, David E.","contributorId":106820,"corporation":false,"usgs":true,"family":"Safine","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":502136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nielson, Ryan M.","contributorId":78971,"corporation":false,"usgs":false,"family":"Nielson","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":502135,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048364,"text":"70048364 - 2013 - Response of diatoms and silicoflagellates to climate change in the Santa Barbara Basin during the past 250 years and the rise of the toxic diatom Pseudo-nitzschia australis","interactions":[],"lastModifiedDate":"2013-09-23T16:19:07","indexId":"70048364","displayToPublicDate":"2013-09-23T16:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Response of diatoms and silicoflagellates to climate change in the Santa Barbara Basin during the past 250 years and the rise of the toxic diatom Pseudo-nitzschia australis","docAbstract":"Diatoms and silicoflagellate assemblages were examined in two year-increments of varved samples spanning the interval from 1748 through 2007 in Santa Barbara Basin (SBB) box core SBBC0806 to determine the timing and impact of possible 20th century warming on several different components of the plankton. Diatoms (Thalassionema nitzschioides =TN) and silicoflagellates (Distephanus speculum s.l. =DS) indicative of cooler waters and a shallow thermocline begin to decline in the 1920s and persistently compose a lower percentage of the assemblage in the SBB by about 1940.  Prior to 1940, TN constituted on average ~30% of the Chaetoceros-free diatom sediment assemblage and DS on average ~36% of the silicoflagellate assemblage.  Between 1940 and 1996 these relative abundances were ~20% (TN) and ~8% (DS).  These results are consistent with results from planktonic foraminifera and radiolarians that indicate an influence of 20th century warming on marine ecosystems before most scientific observations began.  Cooling of surface waters coincident with the one of the strongest La Niña events of the 20th century (and a return to negative PDO conditions) in late 1998 brought about a return to pre-1940 values of these cool water taxa (TN ~31%, DS ~25%).  However, this recent regional cooling appears to have been accompanied by profound changes in the diatom assemblage.  Pseudo-nitzschia australis, and Pseudo-nitzschia multiseries, diatom species associated with domoic acid, a neurotoxin that causes shellfish poisoning and marine mammal deaths, rapidly became dominant in the SBB sediment record at the time of the regional cooling (1999) and increased substantially in numbers as a bloom-forming taxon (relative to Chaetoceros spores) in 2003.  Prior to 2003 diatom blooms recorded in the SBB sediment record consisted predominantly of Chaetoceros spores and less commonly of Rhizosolenia-related species (Neocalyptrella robusta and R. setigera). Fecal pellets dominated by valves of P. australis, however, were particularly abundant in both the 2003 and 2006 samples, coincident with recorded incidents of domoic acid increase and widespread shellfish poisoning in the SBB.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2012.07.002","usgsCitation":"Barron, J.A., Bukry, D., Field, D.B., and Finney, B., 2013, Response of diatoms and silicoflagellates to climate change in the Santa Barbara Basin during the past 250 years and the rise of the toxic diatom Pseudo-nitzschia australis: Quaternary International, v. 310, p. 140-154, https://doi.org/10.1016/j.quaint.2012.07.002.","productDescription":"15 p.","startPage":"140","endPage":"154","ipdsId":"IP-039021","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":278019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quaint.2012.07.002"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.89,19.86 ], [ -130.89,50.03 ], [ -109.85,50.03 ], [ -109.85,19.86 ], [ -130.89,19.86 ] ] ] } } ] }","volume":"310","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fbe4b0ec672f073abf","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":484427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, David 0000-0003-4540-890X","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":30980,"corporation":false,"usgs":true,"family":"Bukry","given":"David","affiliations":[],"preferred":false,"id":484428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, David B.","contributorId":77036,"corporation":false,"usgs":true,"family":"Field","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finney, Bruce","contributorId":59715,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce","affiliations":[],"preferred":false,"id":484429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048362,"text":"sir20135075 - 2013 - Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models","interactions":[],"lastModifiedDate":"2013-09-23T16:01:07","indexId":"sir20135075","displayToPublicDate":"2013-09-23T15:42:00","publicationYear":"2013","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":"2013-5075","title":"Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models","docAbstract":"Mitigating the effects of salt and selenium on water quality in the Grand Valley and lower Gunnison River Basin in western Colorado is a major concern for land managers. Previous modeling indicated means to improve the models by including more detailed geospatial data and a more rigorous method for developing the models. After evaluating all possible combinations of geospatial variables, four multiple linear regression models resulted that could estimate irrigation-season salt yield, nonirrigation-season salt yield, irrigation-season selenium yield, and nonirrigation-season selenium yield. The adjusted r-squared and the residual standard error (in units of log-transformed yield) of the models were, respectively, 0.87 and 2.03 for the irrigation-season salt model, 0.90 and 1.25 for the nonirrigation-season salt model, 0.85 and 2.94 for the irrigation-season selenium model, and 0.93 and 1.75 for the nonirrigation-season selenium model. The four models were used to estimate yields and loads from contributing areas corresponding to 12-digit hydrologic unit codes in the lower Gunnison River Basin study area. Each of the 175 contributing areas was ranked according to its estimated mean seasonal yield of salt and selenium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135075","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Colorado River Water Conservation District","usgsCitation":"Linard, J.I., 2013, Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models: U.S. Geological Survey Scientific Investigations Report 2013-5075, v, 45 p., https://doi.org/10.3133/sir20135075.","productDescription":"v, 45 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135075.gif"},{"id":278016,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5075/pdf/SIR13-5075.pdf"},{"id":278017,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5075/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0009,37.762 ], [ -109.0009,39.5273 ], [ -107.037,39.5273 ], [ -107.037,37.762 ], [ -109.0009,37.762 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fae4b0ec672f073ab7","contributors":{"authors":[{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484420,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048355,"text":"70048355 - 2013 - Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","interactions":[],"lastModifiedDate":"2016-09-22T12:36:32","indexId":"70048355","displayToPublicDate":"2013-09-23T11:31:00","publicationYear":"2013","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":"Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","docAbstract":"Marine surface waters are being acidified due to uptake of anthropogenic carbon dioxide, resulting in surface ocean areas of undersaturation with respect to carbonate minerals, including aragonite. In the Arctic Ocean, acidification is expected to occur at an accelerated rate with respect to the global oceans, but a paucity of baseline data has limited our understanding of the extent of Arctic undersaturation and of regional variations in rates and causes. The lack of data has also hindered refinement of models aimed at projecting future trends of ocean acidification. Here, based on more than 34,000 data records collected in 2010 and 2011, we establish a baseline of inorganic carbon data (pH, total alkalinity, dissolved inorganic carbon, partial pressure of carbon dioxide, and aragonite saturation index) for the western Arctic Ocean. This data set documents aragonite undersaturation in ~20% of the surface waters of the combined Canada and Makarov basins, an area characterized by recent acceleration of sea ice loss. Conservative tracer studies using stable oxygen isotopic data from 307 sites show that while the entire surface of this area receives abundant freshwater from meteoric sources, freshwater from sea ice melt is most closely linked to the areas of carbonate mineral undersaturation. These data link the Arctic Ocean’s largest area of aragonite undersaturation to sea ice melt and atmospheric CO<sub>2</sub> absorption in areas of low buffering capacity. Some relatively supersaturated areas can be linked to localized biological activity. Collectively, these observations can be used to project trends of ocean acidification in higher latitude marine surface waters where inorganic carbon chemistry is largely influenced by sea ice meltwater.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0073796","usgsCitation":"Robbins, L.L., Wynn, J.G., Lisle, J.T., Yates, K.K., Knorr, P.O., Byrne, R., Liu, X., Patsavas, M.C., Azetsu-Scott, K., and Takahashi, T., 2013, Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite: PLoS ONE, v. 8, no. 9, 15 p., https://doi.org/10.1371/journal.pone.0073796.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-036765","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0073796","text":"Publisher Index Page"},{"id":278003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0073796"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.9,66.5 ], [ -166.9,77.3 ], [ -105.2,77.3 ], [ -105.2,66.5 ], [ -166.9,66.5 ] ] ] } } ] }","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-11","publicationStatus":"PW","scienceBaseUri":"524154f9e4b0ec672f073aaf","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynn, Jonathan G.","contributorId":92960,"corporation":false,"usgs":true,"family":"Wynn","given":"Jonathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":484403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":484401,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":484402,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Patsavas, Mark C.","contributorId":99881,"corporation":false,"usgs":true,"family":"Patsavas","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Azetsu-Scott, Kumiko","contributorId":78636,"corporation":false,"usgs":true,"family":"Azetsu-Scott","given":"Kumiko","email":"","affiliations":[],"preferred":false,"id":484400,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takahashi, Taro","contributorId":55319,"corporation":false,"usgs":true,"family":"Takahashi","given":"Taro","email":"","affiliations":[],"preferred":false,"id":484399,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048337,"text":"sir20135168 - 2013 - Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana","interactions":[],"lastModifiedDate":"2013-09-20T14:31:03","indexId":"sir20135168","displayToPublicDate":"2013-09-20T14:13:00","publicationYear":"2013","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":"2013-5168","title":"Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana","docAbstract":"An investigation was completed to document recent (circa 1998 to 2011) channel-migration rates at 970 meander bends along 38 of the largest streams in Indiana. Data collection was completed by using the Google Earth™ platform and, for each selected site, identifying two images with capture dates separated by multiple years. Within each image, the position of the meander-bend cutbank was measured relative to a fixed local landscape feature visible in both images, and an average channel-migration rate was calculated at the point of maximum cutbank displacement. From these data it was determined that 65 percent of the measured sites have recently been migrating at a rate less than 1 ft/yr, 75 percent of the sites have been migrating at a rate less than 10 ft/yr, and while some sites are migrating in excess of 20 ft/yr, these occurrences are rare. In addition, it is shown that recent channel-migration activity is not evenly distributed across Indiana. For the stream reaches studied, far northern and much of far southern Indiana are drained by streams that recently have been relatively stationary. At the same time, this study shows that most of the largest streams in west-central Indiana and many of the largest streams in east-central Indiana have shown significant channel-migration activity during the recent past. It is anticipated that these results will support several fluvial-erosion-hazard mitigation activities currently being undertaken in Indiana.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135168","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Robinson, B.A., 2013, Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana: U.S. Geological Survey Scientific Investigations Report 2013-5168, iv, 37 p., https://doi.org/10.3133/sir20135168.","productDescription":"iv, 37 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1998-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":277979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135168.gif"},{"id":277980,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5168/"},{"id":277981,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5168/pdf/sir2013-5168.pdf"}],"scale":"100000","projection":"1983 Universal Transverse Mercator","datum":"North American Datum 1983","country":"United States","state":"Indiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0997,37.7717 ], [ -88.0997,41.7614 ], [ -84.7846,41.7614 ], [ -84.7846,37.7717 ], [ -88.0997,37.7717 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c769e","contributors":{"authors":[{"text":"Robinson, Bret A. barobins@usgs.gov","contributorId":3897,"corporation":false,"usgs":true,"family":"Robinson","given":"Bret","email":"barobins@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484349,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048320,"text":"sir20135163 - 2013 - Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","interactions":[],"lastModifiedDate":"2013-09-20T11:36:50","indexId":"sir20135163","displayToPublicDate":"2013-09-20T11:18:00","publicationYear":"2013","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":"2013-5163","title":"Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","docAbstract":"<p>Residents and resource managers of the Wood River Valley of south-central Idaho are concerned about the effects that population growth might have on the quality of groundwater and surface water. As part of a multi-phase assessment of the groundwater resources in the study area, the U.S. Geological Survey evaluated the quality of water at 45 groundwater and 5 surface-water sites throughout the Wood River Valley during July and August 2012. Water samples were analyzed for field parameters (temperature, pH, specific conductance, dissolved oxygen, and alkalinity), major ions, boron, iron, manganese, nutrients, and <i>Escherichia coli (E.coli)</i> and total coliform bacteria.</p>\n</br>\n<p>This study was conducted to determine baseline water quality throughout the Wood River Valley, with special emphasis on nutrient concentrations. Water quality in most samples collected did not exceed U.S. Environmental Protection Agency standards for drinking water. E. coli bacteria, used as indicators of water quality, were detected in all five surface-water samples and in two groundwater samples collected. Some analytes have aesthetic-based recommended drinking water standards; one groundwater sample exceeded recommended iron concentrations. Nitrate plus nitrite concentrations varied, but tended to be higher near population centers and in agricultural areas than in tributaries and less populated areas. These higher nitrate plus nitrite concentrations were not correlated with boron concentrations or the presence of bacteria, common indicators of sources of nutrients to water. None of the samples collected exceeded drinking-water standards for nitrate or nitrite.</p>\n</br>\n<p>The concentration of total dissolved solids varied considerably in the waters sampled; however a calcium-magnesium-bicarbonate water type was dominant (43 out of 50 samples) in both the groundwater and surface water. Three constituents that may be influenced by anthropogenic activity (chloride, boron, and nitrate plus nitrite) deviate from this pattern and show a wide distribution of concentrations in the unconfined aquifer, indicating possible anthropogenic influence.</p>\n</br>\n<p>Time-series plots of historical water-quality data indicated that nitrate does not seem to be increasing or decreasing in groundwater over time; however, time-series plots of chloride concentrations indicate that chloride may be increasing in some wells. The small amount of temporal variability in nitrate concentrations indicates a lack of major temporal changes to groundwater inputs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135163","collaboration":"Prepared in cooperation with Blaine County, City of Hailey, City of Ketchum, The Nature Conservancy, City of Sun Valley, Sun Valley Water and Sewer District, Blaine Soil Conservation District, and the City of Bellevue","usgsCitation":"Hopkins, C.B., and Bartolino, J.R., 2013, Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012: U.S. Geological Survey Scientific Investigations Report 2013-5163, Report: vi, 32 p.; 2 Appendixes, https://doi.org/10.3133/sir20135163.","productDescription":"Report: vi, 32 p.; 2 Appendixes","numberOfPages":"42","additionalOnlineFiles":"Y","temporalStart":"2012-07-01","temporalEnd":"2012-08-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":277966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135163.jpg"},{"id":277963,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5163/pdf/sir2013-5163.pdf"},{"id":277964,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixA.xlsx"},{"id":277962,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5163/"},{"id":277965,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixB.xlsx"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.6993,43.2487 ], [ -114.6993,43.9498 ], [ -114.0151,43.9498 ], [ -114.0151,43.2487 ], [ -114.6993,43.2487 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c769a","contributors":{"authors":[{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484314,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048310,"text":"sir20135101 - 2013 - Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","interactions":[],"lastModifiedDate":"2013-10-30T11:35:55","indexId":"sir20135101","displayToPublicDate":"2013-09-20T08:42:00","publicationYear":"2013","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":"2013-5101","title":"Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","docAbstract":"Groundwater withdrawals began in 1992 from the Langford Basin within the Fort Irwin National Training Center (NTC), California. From April 1992 to December 2010, approximately 12,300 acre-feet of water (averaging about 650 acre-feet per year) has been withdrawn from the basin and transported to the adjacent Irwin Basin. Since withdrawals began, water levels in the basin have declined by as much as 40 feet, and the quality of the groundwater withdrawn from the basin has deteriorated. The U.S. Geological Survey collected geohydrologic data from Langford Basin during 1992–2011 to determine the quantity and quality of groundwater available in the basin. Geophysical surveys, including gravity, seismic refraction, and time-domain electromagnetic induction surveys, were conducted to determine the depth and shape of the basin, to delineate depths to the Quaternary-Tertiary interface, and to map the depth to the water table and changes in water quality. Data were collected from existing wells and test holes, as well as 11 monitor wells that were installed at 5 sites as part of this study. Water-quality samples collected from wells in the basin were used to determine the groundwater chemistry within the basin and to delineate potential sources of poor-quality groundwater. Analysis of stable isotopes of oxygen and hydrogen in groundwater indicates that present-day precipitation is not a major source of recharge to the basin. Tritium and carbon-14 data indicate that most of the basin was recharged prior to 1952, and the groundwater in the basin has an apparent age of 12,500 to 30,000 years. Recharge to the basin, estimated to be less than 50 acre-feet per year, has not been sufficient to replenish the water that is being withdrawn from the basin. A numerical groundwater-flow model was developed for the Langford Basin to better understand the aquifer system used by the Fort Irwin NTC as part of its water supply, and to provide a tool to help manage groundwater resources at the NTC. Measured groundwater-level declines since the initiation of withdrawals (1992–2011) were used to calibrate the groundwater-flow model. The simulated recharge was about 46 acre-feet per year, including approximately 6 acre-feet per year of natural recharge derived from precipitation runoff and as much as 40 acre-feet per year of underflow from the Irwin Basin. Between April 1992 and December 2010, an average of about 650 acre-feet per year of water was withdrawn from the Langford Basin. Groundwater withdrawals in excess of natural recharge resulted in a net loss of 11,670 acre-feet of groundwater storage within the basin for the simulation period. The Fort Irwin NTC is considering various groundwater-management options to address the limited water resources in the Langford Basin. The calibrated Langford Basin groundwater-flow model was used to evaluate the hydrologic effects of four groundwater-withdrawal scenarios being considered by the Fort Irwin NTC over the next 50 years (January 2011 through December 2060). Continuation of the 2010 withdrawal rate in the three existing production wells will result in 70 feet of additional drawdown in the central part of the basin. Redistributing the 2010 withdrawal rate equally to the three existing wells and two proposed new wells in the northern and southern parts of the basin would result in about 10 feet less drawdown in the central part of the basin but about 100 feet of additional drawdown in the new well in the northern part of the basin and about 50 feet of additional drawdown in the new well in the southern part of the basin. Reducing the withdrawals from the three existing production wells in the central part of the basin from about 45,000 acre-feet to about 32,720 acre-feet would result in about 40 feet of additional drawdown in the central basin near the pumping wells, about 25 feet less than if withdrawals were not reduced. The combination of reducing and redistributing the cumulative withdrawals to the three existing and two proposed new wells results in about 40 feet of additional drawdown in the central and southern parts of the basin and about 70 feet in the northern part of the basin. These results show that reducing and redistributing the groundwater withdrawals would maintain the upper aquifer at greater than 50 percent of its predevelopment saturated thickness throughout the groundwater basin. The scenarios simulated for this study demonstrate how the calibrated model can be utilized to evaluate the hydrologic effects of different water-management strategies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135101","usgsCitation":"Voronin, L.M., Densmore, J., Martin, P., Brush, C.F., Carlson, C.S., and Miller, D., 2013, Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California: U.S. Geological Survey Scientific Investigations Report 2013-5101, x, 86 p., https://doi.org/10.3133/sir20135101.","productDescription":"x, 86 p.","numberOfPages":"100","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":277948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135101.jpg"},{"id":277946,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5101/"},{"id":277947,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5101/pdf/sir2013-5101.pdf"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.118611111111111,34.5 ], [ -11.118611111111111,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,34.5 ], [ -11.118611111111111,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6b91e4b097188d6c7692","contributors":{"authors":[{"text":"Voronin, Lois M. 0000-0002-1064-1675 lvoronin@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-1675","contributorId":1475,"corporation":false,"usgs":true,"family":"Voronin","given":"Lois","email":"lvoronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":89179,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill N.","affiliations":[],"preferred":false,"id":484295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brush, Charles F.","contributorId":93140,"corporation":false,"usgs":true,"family":"Brush","given":"Charles","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":484294,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048296,"text":"sir20135136 - 2013 - The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","interactions":[],"lastModifiedDate":"2013-09-27T08:55:23","indexId":"sir20135136","displayToPublicDate":"2013-09-19T14:52:00","publicationYear":"2013","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":"2013-5136","title":"The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","docAbstract":"Residents of Carson Valley in Douglas County, Nevada, rely on groundwater from an alluvial aquifer for domestic use and agricultural irrigation. Since the 1970s, there has been a rapid increase in population in several parts of the valley that rely on domestic wells for drinking water and septic systems for treatment of household waste. As a result, the density of septic systems in the developed areas is greater than one septic system per 3 acres, and the majority of the domestic wells are shallow (screened within 250 feet of the land surface).<p>\nThe distribution of nitrate as nitrogen (referred to herein as nitrate-N) concentrations in groundwater was determined by collecting more than 200 samples from 8 land-use categories: single family residential, multifamily residential, rural (including land use for agriculture), vacant land, commercial, industrial, utilities, and unclassified. Nitrate-N concentrations ranged from below detection (less than 0.05 milligrams per liter) to 18 milligrams per liter. The results of nitrate-N concentrations that were sampled from three wells equalled or exceeded the maximum contaminant level of 10 milligrams per liter set by the U.S. Environmental Protection Agency. Nitrate-N concentrations in sampled wells showed a positive correlation between elevated nitrate-N concentrations and the percentage of single-family land use and septic-system density. Wells sampled in other land-use categories did not have any correlation to nitrate-N concentrations. In areas with greater than 50-percent single-family land use, nitrate-N concentrations were two times greater than in areas with less than 50 percent single-family land use. Nitrate-N concentrations in groundwater near septic systems that had been used more than 20 years were more than two times greater than in areas where septic systems had been used less than 20 years. Lower nitrate-N concentrations in the areas where septic systems were less than 20 years old probably result from temporary storage of nitrogen leaching from septic systems into the unsaturated zone.<p/> In areas where septic systems are abundant, nitrate-N concentrations were predicted to 2059 by using numerical models within the Ruhenstroth and Johnson Lane subdivisions in the Carson Valley. Model results indicated that nitrate-N concentrations will continue to increase and could exceed the maximum contaminant level over extended areas inside and outside the subdivisions. Two modeling scenarios were used to simulate future transport as a result of removal of septic systems (source of nitrate-N contamination) and the termination of domestic pumping of groundwater. The models showed the largest decrease in nitrate-N concentrations when septic systems were removed and wells continued to pump. Nitrate-N concentrations probably will continue to increase in areas that are dependent on septic systems for waste disposal either under current land-use conditions in the valley or with continued growth and change in land use in the valley.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135136","collaboration":"Prepared in cooperation with Douglas County and the Carson Water Subconservancy District","usgsCitation":"Naranjo, R.C., Welborn, T.L., and Rosen, M.R., 2013, The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5136, vii, 51 p., https://doi.org/10.3133/sir20135136.","productDescription":"vii, 51 p.","numberOfPages":"58","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":277941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135136.jpg"},{"id":277939,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5136/pdf/sir2013-5136.pdf"},{"id":277940,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5136/"}],"country":"United States","state":"Nevada","county":"Douglas County","otherGeospatial":"Carson Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.6783,38.4682 ], [ -119.6783,39.1034 ], [ -119.1676,39.1034 ], [ -119.1676,38.4682 ], [ -119.6783,38.4682 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726e","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welborn, Toby L. 0000-0003-4839-2405 tlwelbor@usgs.gov","orcid":"https://orcid.org/0000-0003-4839-2405","contributorId":2295,"corporation":false,"usgs":true,"family":"Welborn","given":"Toby","email":"tlwelbor@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484260,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048292,"text":"sir20135153 - 2013 - Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:35:14","indexId":"sir20135153","displayToPublicDate":"2013-09-19T14:11:00","publicationYear":"2013","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":"2013-5153","title":"Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","docAbstract":"Continuous streamflow and turbidity data collected from October 1, 2010, to September 30, 2012, at a site upstream and downstream from Clinton Lake, Kansas, were used to compute the total suspended-sediment load delivered to and released from the reservoir as well as the sediment trap efficiency for the reservoir. Ongoing sedimentation is inhibiting the ability of Clinton Lake to serve several purposes including flood control, water supply, and recreation. The inflow suspended-sediment load was substantially larger than the outflow load and most of the suspended-sediment load was delivered during short-term, high-discharge periods. Respectively, the total 2-year inflow and outflow suspended-sediment loads were computed to be 44.4 and 1.49 million pounds. Sediment trap efficiency for the reservoir was estimated to be 97 percent. The mean annual suspended-sediment yield from the upstream basin was estimated to be 60,500 pounds per square mile. Because this study was completed during a drought, the estimated inflow suspended-sediment load and suspended-sediment yield likely are substantially less than what would occur during a period of average or above average precipitation and runoff.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135153","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Juracek, K.E., 2013, Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5153, v, 10 p., https://doi.org/10.3133/sir20135153.","productDescription":"v, 10 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-044091","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":277933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135153.gif"},{"id":277932,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5153/pdf/sir13-5153.pdf"},{"id":277931,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5153/"}],"country":"United States","state":"Kansas","otherGeospatial":"Clinton Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.63,38.86 ], [ -95.63,39.04 ], [ -95.26,39.04 ], [ -95.26,38.86 ], [ -95.63,38.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726a","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048290,"text":"tm6A44 - 2013 - MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","interactions":[],"lastModifiedDate":"2013-09-19T14:06:20","indexId":"tm6A44","displayToPublicDate":"2013-09-19T13:48:15","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A44","title":"MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","docAbstract":"This report documents the addition of ghost node Local Grid Refinement (LGR2) to MODFLOW-2005, the U.S. Geological Survey modular, transient, three-dimensional, finite-difference groundwater flow model. LGR2 provides the capability to simulate groundwater flow using multiple block-shaped higher-resolution local grids (a child model) within a coarser-grid parent model. LGR2 accomplishes this by iteratively coupling separate MODFLOW-2005 models such that heads and fluxes are balanced across the grid-refinement interface boundary. LGR2 can be used in two-and three-dimensional, steady-state and transient simulations and for simulations of confined and unconfined groundwater systems. Traditional one-way coupled telescopic mesh refinement methods can have large, often undetected, inconsistencies in heads and fluxes across the interface between two model grids. The iteratively coupled ghost-node method of LGR2 provides a more rigorous coupling in which the solution accuracy is controlled by convergence criteria defined by the user. In realistic problems, this can result in substantially more accurate solutions and require an increase in computer processing time. The rigorous coupling enables sensitivity analysis, parameter estimation, and uncertainty analysis that reflects conditions in both model grids. This report describes the method used by LGR2, evaluates accuracy and performance for two-and three-dimensional test cases, provides input instructions, and lists selected input and output files for an example problem. It also presents the Boundary Flow and Head (BFH2) Package, which allows the child and parent models to be simulated independently using the boundary conditions obtained through the iterative process of LGR2.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground water in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A44","collaboration":"Prepared in cooperation with the U.S. Department of Energy, A Product of the Groundwater Resources Program; This report is Chapter 44 of Section A: Ground water in Book 6 <i>Modeling Techniques</i>","usgsCitation":"Mehl, S.W., and Hill, M.C., 2013, MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package: U.S. Geological Survey Techniques and Methods 6-A44, viii, 43 p., https://doi.org/10.3133/tm6A44.","productDescription":"viii, 43 p.","numberOfPages":"54","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":277921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a44.gif"},{"id":277919,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6a44/pdf/T&M6A-44.pdf"},{"id":277918,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6a44/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efce4b024b60d40725e","contributors":{"authors":[{"text":"Mehl, Steffen W. swmehl@usgs.gov","contributorId":975,"corporation":false,"usgs":true,"family":"Mehl","given":"Steffen","email":"swmehl@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":484252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":484251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048250,"text":"70048250 - 2013 - Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","interactions":[],"lastModifiedDate":"2013-11-18T10:01:44","indexId":"70048250","displayToPublicDate":"2013-09-18T15:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","docAbstract":"Depositional models of ancient lakes in thin-skinned retroarc foreland basins rarely benefit from appropriate Quaternary analogues. To address this, we present new stratigraphic, sedimentological and geochemical analyses of four radiocarbon-dated sediment cores from the Pozuelos Basin (PB; northwest Argentina) that capture the evolution of this low-accommodation Puna basin over the past ca. 43 cal kyr. Strata from the PB are interpreted as accumulations of a highly variable, underfilled lake system represented by lake-plain/littoral, profundal, palustrine, saline lake and playa facies associations. The vertical stacking of facies is asymmetric, with transgressive and thin organic-rich highstand deposits underlying thicker, organic-poor regressive deposits. The major controls on depositional architecture and basin palaeogeography are tectonics and climate. Accommodation space was derived from piggyback basin-forming flexural subsidence and Miocene-Quaternary normal faulting associated with incorporation of the basin into the Andean hinterland. Sediment and water supply was modulated by variability in the South American summer monsoon, and perennial lake deposits correlate in time with several well-known late Pleistocene wet periods on the Altiplano/Puna plateau. Our results shed new light on lake expansion–contraction dynamics in the PB in particular and provide a deeper understanding of Puna basin lakes in general.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Basin Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/bre.12025","usgsCitation":"McGlue, M.M., Cohen, A.S., Ellis, G.S., and Kowler, A.L., 2013, Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina): Basin Research, v. 25, no. 6, p. 638-658, https://doi.org/10.1111/bre.12025.","productDescription":"21 p.","startPage":"638","endPage":"658","numberOfPages":"21","ipdsId":"IP-039035","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277829,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/bre.12025"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.8408,-23.926 ], [ -66.8408,-21.064 ], [ -62.9956,-21.064 ], [ -62.9956,-23.926 ], [ -66.8408,-23.926 ] ] ] } } ] }","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"523abd76e4b08cabd166cb00","contributors":{"authors":[{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":484153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowler, Andrew L.","contributorId":36043,"corporation":false,"usgs":true,"family":"Kowler","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048247,"text":"fs20133051 - 2013 - The 3D Elevation Program: summary for Minnesota","interactions":[],"lastModifiedDate":"2016-08-17T16:04:57","indexId":"fs20133051","displayToPublicDate":"2013-09-18T14:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3051","title":"The 3D Elevation Program: summary for Minnesota","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Minnesota, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, coastal zone management, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133051","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Minnesota: U.S. Geological Survey Fact Sheet 2013-3051, 2 p., https://doi.org/10.3133/fs20133051.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133051.gif"},{"id":277823,"type":{"id":15,"text":"Index 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":484143,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048245,"text":"ofr20131160 - 2013 - Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","interactions":[],"lastModifiedDate":"2016-01-07T17:05:29","indexId":"ofr20131160","displayToPublicDate":"2013-09-18T13:55:00","publicationYear":"2013","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":"2013-1160","subseriesTitle":"National Water-Quality Assessment Program","title":"Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","docAbstract":"This report presents a science strategy for the third decade of the National Water-Quality Assessment (NAWQA) Program, which since 1991, has been responsible for providing nationally consistent information on the quality of the Nation's streams and groundwater; how water quality is changing over time; and the major natural and human factors that affect current water quality conditions and trends. The strategy is based on an extensive evaluation of the accomplishments of NAWQA over its first two decades, the current status of water-quality monitoring activities by USGS and its partners, and an updated analysis of stakeholder priorities. The plan is designed to address priority issues and national needs identified by NAWQA stakeholders and the National Research Council (2012) irrespective of budget constraints. This plan describes four major goals for the third decade (Cycle 3), the approaches for monitoring, modeling, and scientific studies, key partnerships required to achieve these goals, and products and outcomes that will result from planned assessment activities. The science plan for 2013–2023 is a comprehensive approach to meet stakeholder priorities for: (1) rebuilding NAWQA monitoring networks for streams, rivers, and groundwater, and (2) upgrading models used to extrapolate and forecast changes in water-quality and stream ecosystem condition in response to changing climate and land use. The Cycle 3 plan continues approaches that have been central to the Program’s long-term success, but adjusts monitoring intensities and study designs to address critical information needs and identified data gaps. Restoration of diminished monitoring networks and new directions in modeling and interpretative studies address growing and evolving public and stakeholder needs for water-quality information and improved management, particularly in the face of increasing challenges related to population growth, increasing demands for water, and changing land use and climate. However, a combination of funding growth and extensive collaboration with other USGS programs and other Federal, State, and local agencies, public interest groups, professional and trade associations, academia, and private industry will be needed to fully realize the monitoring and modeling goals laid out in this plan (USGS Fact Sheet 2013-3008).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131160","usgsCitation":"Rowe, G.L., Belitz, K., Demas, C.R., Essaid, H.I., Gilliom, R.J., Hamilton, P.A., Hoos, A.B., Lee, C., Munn, M.D., and Wolock, D.W., 2013, Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management: U.S. Geological Survey Open-File Report 2013-1160, xiv, 110 p., https://doi.org/10.3133/ofr20131160.","productDescription":"xiv, 110 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131160.gif"},{"id":277820,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1160/"},{"id":277821,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1160/pdf/OF13-1160.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd72e4b08cabd166cae8","contributors":{"authors":[{"text":"Rowe, Gary L. glrowe@usgs.gov","contributorId":1779,"corporation":false,"usgs":true,"family":"Rowe","given":"Gary","email":"glrowe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":484131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":484136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demas, Charlie R.","contributorId":11929,"corporation":false,"usgs":true,"family":"Demas","given":"Charlie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":484133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":484128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton, Pixie A. pahamilt@usgs.gov","contributorId":1068,"corporation":false,"usgs":true,"family":"Hamilton","given":"Pixie","email":"pahamilt@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoos, Anne B. abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":484132,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":484135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484129,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolock, David W.","contributorId":64357,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484137,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048234,"text":"70048234 - 2013 - Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations","interactions":[],"lastModifiedDate":"2021-05-28T14:02:36.307763","indexId":"70048234","displayToPublicDate":"2013-09-18T08:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations","docAbstract":"Animal manures, used as a nitrogen source for crop production, are often associated with negative impacts on nutrient levels in surface water. The concentrations of estrogens in streams from these manures also are of concern due to potential endocrine disruption in aquatic species. Streams associated with livestock operations were sampled by discrete samples (n <i>=</i> 38) or by time-integrated polar organic chemical integrative samplers (POCIS,n <i>=</i> 19). Samples were analyzed for estrogens by gas chromatography-tandem mass spectrometry (GC-MSM<sup>2</sup>) and estrogenic activity was assessed by three bioassays: Yeast Estrogen Screen (YES), T47D-KBluc Assay, MCF-7 Estrogenicity Screen (E-Screen). Samples were collected from 19 streams within small (∼1-30 km<sup>2</sup>) watersheds in 12 U.S. states representing a range of hydrogeologic conditions, dominated by: dairy (3), grazing beef (3), feedlot cattle (1); swine (5); poultry (3); and 4 areas where no livestock were raised or manure was applied. Water samples were consistently below the United Kingdom proposed Lowest Observable Effect Concentration for 17b-estradiol in fish (10 ng/L) in all watersheds, regardless of land use. Estrogenic activity was often higher in samples during runoff conditions following a period of manure application. Estrone was the most commonly detected estrogen (13 of 38 water samples, mean 1.9, maximum 8.3 ng/L). Because of the T47D-KBluc assay’s sensitivity towards estrone (1.4 times 17β-estradiol) it was the most sensitive method for detecting estrogens, followed by the E-Screen, GC-MS<sup>2</sup>, and YES. POCIS resulted in more frequent detections of estrogens than discrete water samples across all sites, even when applying the less-sensitive YES bioassay to the POCIS extracts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2013.03.028","usgsCitation":"Alvarez, D.A., Shappell, N.W., Billey, L., Bermudez, D.S., Wilson, V., Kolpin, D.W., Perkins, S.D., Evans, N., Foreman, W., Gray, J.L., Shipitalo, J., and Meyer, M.T., 2013, Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations: Water Research, v. 47, no. 10, p. 3347-3363, https://doi.org/10.1016/j.watres.2013.03.028.","productDescription":"17 p.","startPage":"3347","endPage":"3363","numberOfPages":"17","ipdsId":"IP-041200","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":277787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277786,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2013.03.028"}],"volume":"47","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd52e4b08cabd166cae0","chorus":{"doi":"10.1016/j.watres.2013.03.028","url":"http://dx.doi.org/10.1016/j.watres.2013.03.028","publisher":"Elsevier BV","authors":"Alvarez D.A., Shappell N.W., Billey L.O., Bermudez D.S., Wilson V.S., Kolpin D.W., Perkins S.D., Evans N., Foreman W.T., Gray J.L., Shipitalo M.J., Meyer M.T.","journalName":"Water Research","publicationDate":"6/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":484081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shappell, Nancy W.","contributorId":103559,"corporation":false,"usgs":true,"family":"Shappell","given":"Nancy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Billey, L.O.","contributorId":94961,"corporation":false,"usgs":true,"family":"Billey","given":"L.O.","email":"","affiliations":[],"preferred":false,"id":484087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bermudez, Dietrich S.","contributorId":8755,"corporation":false,"usgs":true,"family":"Bermudez","given":"Dietrich","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Vickie S.","contributorId":101551,"corporation":false,"usgs":true,"family":"Wilson","given":"Vickie S.","affiliations":[],"preferred":false,"id":484088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perkins, Stephanie D. sperkins@usgs.gov","contributorId":2745,"corporation":false,"usgs":true,"family":"Perkins","given":"Stephanie","email":"sperkins@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":484083,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Nicola","contributorId":61735,"corporation":false,"usgs":true,"family":"Evans","given":"Nicola","affiliations":[],"preferred":false,"id":484086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":484082,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":484080,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shipitalo, J.M.","contributorId":38882,"corporation":false,"usgs":true,"family":"Shipitalo","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":484085,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484078,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70048153,"text":"ofr20131226 - 2013 - Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010","interactions":[],"lastModifiedDate":"2016-08-19T17:44:44","indexId":"ofr20131226","displayToPublicDate":"2013-09-18T08:00:00","publicationYear":"2013","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":"2013-1226","title":"Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Beaver County and Butler County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131226","usgsCitation":"Roig-Silva, C., Slonecker, E.T., Milheim, L., and Malizia, A.R., 2013, Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010: U.S. Geological Survey Open-File Report 2013-1226, v, 34 p., https://doi.org/10.3133/ofr20131226.","productDescription":"v, 34 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131226.gif"},{"id":277528,"type":{"id":15,"text":"Index 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,{"id":70048154,"text":"ofr20131227 - 2013 - Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010","interactions":[],"lastModifiedDate":"2016-08-19T17:42:19","indexId":"ofr20131227","displayToPublicDate":"2013-09-18T08:00:00","publicationYear":"2013","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":"2013-1227","title":"Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Lackawanna County and Wayne County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131227","usgsCitation":"Milheim, L., Slonecker, E., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010: U.S. Geological Survey Open-File Report 2013-1227, v, 32 p., https://doi.org/10.3133/ofr20131227.","productDescription":"v, 32 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131227.PNG"},{"id":277686,"type":{"id":15,"text":"Index 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