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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f528efe4b0114312ab01ca","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Eric R. 0000-0002-1867-886X efrantz@usgs.gov","orcid":"https://orcid.org/0000-0002-1867-886X","contributorId":41573,"corporation":false,"usgs":true,"family":"Frantz","given":"Eric","email":"efrantz@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":471900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":471898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042760,"text":"gip146 - 2013 - The water cycle for kids","interactions":[],"lastModifiedDate":"2016-08-18T13:16:21","indexId":"gip146","displayToPublicDate":"2013-01-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"146","title":"The water cycle for kids","docAbstract":"The U.S. Geological Survey (USGS) and the Food and Agriculture Organization of the United Nations (FAO) have created a water-cycle diagram for use in elementary and middle schools. The diagram is available in many languages. This diagram is part of the USGS's Water Science School, in which the water cycle is described in detail.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip146","usgsCitation":"Neno, S., Morgan, J., Zonolli, G., Perlman, H., and Gonthier, G., 2013, The water cycle for kids: U.S. Geological Survey General Information Product 146, 2 Plates: 11 x 17 inches and 24 x 33 inches; 1 Image, https://doi.org/10.3133/gip146.","productDescription":"2 Plates: 11 x 17 inches and 24 x 33 inches; 1 Image","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":266290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_146.jpg"},{"id":266286,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/146/"},{"id":266287,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/gip/146/pdf/gip_146_tabloid.pdf"},{"id":326829,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/edu/watercycle-kids.html","text":"Poster translations"},{"id":266288,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/gip/146/pdf/gip_146_poster.pdf"},{"id":266289,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/gip/146/images/WaterCycle-Kids-USGS.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5101147ee4b033b1feeb2c16","contributors":{"authors":[{"text":"Neno, Stephanie","contributorId":61314,"corporation":false,"usgs":true,"family":"Neno","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":472188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Jim","contributorId":107447,"corporation":false,"usgs":true,"family":"Morgan","given":"Jim","email":"","affiliations":[],"preferred":false,"id":472191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zonolli, Gabriele","contributorId":11094,"corporation":false,"usgs":true,"family":"Zonolli","given":"Gabriele","email":"","affiliations":[],"preferred":false,"id":472187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perlman, Howard","contributorId":86783,"corporation":false,"usgs":true,"family":"Perlman","given":"Howard","affiliations":[],"preferred":false,"id":472189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gonthier, Gerard 0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":88631,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard","email":"gonthier@usgs.gov","affiliations":[],"preferred":false,"id":472190,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042530,"text":"sir20125191 - 2013 - Estimated sediment thickness, quality, and toxicity to benthic organisms in selected impoundments in Massachusetts","interactions":[],"lastModifiedDate":"2013-01-11T09:10:46","indexId":"sir20125191","displayToPublicDate":"2013-01-11T00:00:00","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":"2012-5191","title":"Estimated sediment thickness, quality, and toxicity to benthic organisms in selected impoundments in Massachusetts","docAbstract":"The U.S. Geological Survey and the Massachusetts Department of Fish and Game, Division of Ecological Restoration, collaborated to collect baseline information on the quantity and quality of sediment impounded behind selected dams in Massachusetts, including sediment thickness and the occurrence of contaminants potentially toxic to benthic organisms. The thicknesses of impounded sediments were measured, and cores of sediment were collected from 32 impoundments in 2004 and 2005. Cores were chemically analyzed, and concentrations of 32 inorganic elements and 108 organic compounds were quantified. Sediment thicknesses varied considerably among the 32 impoundments, with an average thickness of 3.7 feet. Estimated volumes also varied greatly, ranging from 100,000 cubic feet to 81 million cubic feet. Concentrations of toxic contaminants as well as the number of contaminants detected above analytical quantification levels (also known as laboratory reporting levels) varied greatly among sampling locations. Based on measured contaminant concentrations and comparison to published screening thresholds, bottom sediments were predicted to be toxic to bottom-dwelling (benthic) organisms in slightly under 30 percent of the impoundments sampled. Statistically significant relations were found between several of the contaminants and individual indicators of urban land use and industrial activity in the upstream drainage areas of the impoundments. However, models developed to estimate contaminant concentrations at unsampled sites from upstream landscape characteristics had low predictive power, consistent with the long and complex land-use history that is typical of many drainage areas in Massachusetts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125191","collaboration":"Prepared in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration","usgsCitation":"Breault, R., Sorenson, J.R., and Weiskel, P.K., 2013, Estimated sediment thickness, quality, and toxicity to benthic organisms in selected impoundments in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2012-5191, vii, 41 p., https://doi.org/10.3133/sir20125191.","productDescription":"vii, 41 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":265540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5191.gif"},{"id":265538,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5191/"},{"id":265539,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5191/pdf/sir2012-5191_report_508.pdf"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5081,41.239 ], [ -73.5081,42.8868 ], [ -69.928,42.8868 ], [ -69.928,41.239 ], [ -73.5081,41.239 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f1346be4b0c982afefa86d","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","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":471708,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042504,"text":"sir20125195 - 2013 - Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","interactions":[],"lastModifiedDate":"2013-01-10T08:32:16","indexId":"sir20125195","displayToPublicDate":"2013-01-10T00:00:00","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":"2012-5195","title":"Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007","docAbstract":"The Colorado River Basin provides habitat for 14 native fish, including 4 endangered species protected under the Federal Endangered Species Act of 1973. These endangered fish species once thrived in the Colorado River system, but water-resource development, including the building of numerous diversion dams and several large reservoirs, and the introduction of non-native fish, resulted in large reductions in the numbers and range of the four species through loss of habitat and stream function. Understanding how stream conditions and habitat change in response to alterations in streamflow is important for water administrators and wildlife managers and can be determined from an understanding of sediment transport. Characterization of the processes that are controlling sediment transport is an important first step in identifying flow regimes needed for restored channel morphology and the sustained recovery of endangered fishes within these river systems. The U.S. Geological Survey, in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office, began a study in 2004 to characterize sediment transport at selected locations on the Colorado, Gunnison, and Green Rivers to begin addressing gaps in existing datasets and conceptual models of the river systems. This report identifies and characterizes the relation between streamflow (magnitude and timing) and sediment transport and presents the findings through discussions of (1) suspended-sediment transport, (2) incipient motion of streambed material, and (3) a case study of sediment-transport conditions for a reach of the Green River identified as a razorback sucker spawning habitat (See report for full abstract).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125195","collaboration":"Prepared in cooperation with the Upper Colorado River Endangered Fish Recovery Program, Bureau of Reclamation, U.S. Fish and Wildlife Service, Argonne National Laboratory, Western Area Power Administration, and Wyoming State Engineer’s Office","usgsCitation":"Williams, C.A., Schaffrath, K.R., Elliott, J.G., and Richards, R.J., 2013, Application of sediment characteristics and transport conditions to resource management in selected main-stem reaches of the Upper Colorado River, Colorado and Utah, 1965-2007: U.S. Geological Survey Scientific Investigations Report 2012-5195, ix, 82 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125195.","productDescription":"ix, 82 p.; col. ill.; maps (col.)","startPage":"i","endPage":"82","numberOfPages":"95","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1965-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":265503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5195.gif"},{"id":265502,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/409/"},{"id":265500,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5195/"},{"id":265501,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5195/SIR12-5195.pdf"}],"country":"United States","state":"Colorado;Utah","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.05,37.0 ], [ -114.05,42.0 ], [ -102.04,42.0 ], [ -102.04,37.0 ], [ -114.05,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d9ee4b0b290850f199d","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":471657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042497,"text":"sir20125265 - 2013 - Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11","interactions":[],"lastModifiedDate":"2023-03-10T12:37:02.469065","indexId":"sir20125265","displayToPublicDate":"2013-01-09T00:00:00","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":"2012-5265","title":"Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11","docAbstract":"Discrete samples and continuous (15-minute interval) water-quality data were collected at Mattawoman Creek (U.S. Geological Survey station number 01658000) from October 2000 through January 2011, in cooperation with the Charles County (Maryland) Department of Planning and Growth Management, the Maryland Department of the Environment, and the Maryland Geological Survey. Mattawoman Creek is a fourth-order Maryland tributary to the tidal freshwater Potomac River; the creek’s watershed is experiencing development pressure due to its proximity to Washington, D.C. Data were analyzed for the purpose of describing ambient water quality, identifying potential contaminant sources, and quantifying nutrient and sediment loads to the tidal freshwater Mattawoman estuary. Continuous data, collected at 15-minute intervals, included discharge, derived from stage measurements made using a pressure transducer, as well as water temperature, pH, specific conductance, dissolved oxygen, and turbidity, all measured using a water-quality sonde. In addition to the continuous data, a total of 360 discrete water-quality samples, representative of monthly low-flow and targeted storm conditions, were analyzed for suspended sediment and nutrients. Continuous observations gathered by a second water-quality sonde, which was temporarily deployed in 2011 for quality-control purposes, indicated substantial lateral water-quality gradients due to inflow from a nearby tributary, representing about 10 percent of the total gaged area upstream of the sampling location. These lateral gradients introduced a time-varying bias into both the continuous and discrete data, resulting in observations that were at some times representative of water-quality conditions in the main channel and at other times biased towards conditions in the tributary. Despite this limitation, both the continuous and discrete data provided insight into the watershed-scale factors that influence water quality in Mattawoman Creek. Annual precipitation over the study period was representative of the long-term record for southern Maryland. The median value of continuously measured discharge was 25 cubic feet per second (ft3/s), and the maximum observed value was 3,210 ft3/s; there were 498 days, or about 15 percent of the study period, when flow was zero or too low to measure. Continuously measured water temperature followed a seasonal trend characteristic of the geographic setting; the trend in dissolved oxygen was inverted relative to temperature, and reflected nearly saturated conditions year round. Relations between discharge and both pH and specific conductance indicate that stream water can be conceptualized as a mixture of acidic, dilute precipitation with pH-neutral groundwater of higher conductance. Specific conductance data showed a pronounced winter peak in both median and extreme measurements, indicating the influence of road salt. However, this influence is minor relative to that observed in the Northeast Branch Anacostia River (U.S. Geological Survey station number 01649500), a nearby, more heavily urbanized comparison basin. The median suspended-sediment concentration in discrete samples was 24 milligrams per liter (mg/L), with minimum and maximum concentrations of 1 mg/L and 2,890 mg/L, respectively. Total nitrogen ranged from 0.21 mg/L to 4.09 mg/L, with a median of 0.69 mg/L; total phosphorus ranged from less than 0.01 mg/L to 0.98 mg/L, with a median of 0.07 mg/L. Total nitrogen was dominated by the dissolved organic fraction (49 percent based on median species concentrations); total phosphorus was predominantly particulate (70 percent). Seasonal trends in suspended-sediment concentration indicate a supply subsidy in late winter and spring; this could be linked to flood-plain interaction, mobilization of sediment from the channel or banks, or anthropogenic input. Seasonal trends for both total phosphorus and total nitrogen generally corresponded to seasonal trends for suspended sediment, indicating a common underlying physical control, likely acting in synchrony with seasonal biological controls on total nutrient concentrations. Speciation of phosphorus, including proportional concentration of the biologically available dissolved inorganic fraction, did not vary seasonally. The speciation of nitrogen reflected demand for inorganic nitrogen and associated transformation into organic nitrogen during the growing season. Stepwise regression models were developed, using continuous data corresponding to collection times for discrete samples as candidate surrogates for suspended sediment, total phosphorus, and total nitrogen. Turbidity and discharge were both included in the model for suspended sediment (R2 = 0.76, n = 185); only turbidity was selected as a robust predictor of total phosphorus and nitrogen (R2 = 0.68 and 0.61, respectively, n = 186 for both). Loads of sediment and nutrients to the downstream Mattawoman estuary were computed using the U.S. Geological Survey computer program LOADEST. Load estimation included comparison of a routinely applied seven-parameter regression model based on time, season, and discharge, with an eight-parameter model that also includes turbidity. Adding turbidity decreased total load estimates, based on hourly data for a fixed 2-month period, by 21, 8, and 3 percent for suspended sediment, total phosphorus, and total nitrogen, respectively, in addition to decreasing the standard error of prediction for all three constituents. The seasonal pattern in specific conductance, reflecting road salt application, is the strongest evidence of the effect of upstream development on water quality at Mattawoman Creek. Accordingly, ongoing continuous monitoring for trends in specific conductance would be the most reliable means of detecting further degradation associated with increased development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125265","collaboration":"Prepared in cooperation with the Charles County Department of Planning and Growth Management; Maryland Department of the Environment; Maryland Geological Survey","usgsCitation":"Chanat, J.G., Miller, C.V., Bell, J.M., Majedi, B.F., and Brower, D.P., 2013, Summary and interpretation of discrete and continuous water-quality monitoring data, Mattawoman Creek, Charles County, Maryland, 2000-11: U.S. Geological Survey Scientific Investigations Report 2012-5265, vii, 42 p., https://doi.org/10.3133/sir20125265.","productDescription":"vii, 42 p.","startPage":"i","endPage":"42","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-10-01","temporalEnd":"2011-01-31","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":265497,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5265.gif"},{"id":265498,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5265/"},{"id":265499,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5265/pdf/sir2012-5265.pdf"}],"state":"Maryl","city":"Charles County","otherGeospatial":"Mattawoman Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.3155,38.1713 ], [ -77.3155,38.7047 ], [ -76.6719,38.7047 ], [ -76.6719,38.1713 ], [ -77.3155,38.1713 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9177e4b0160a2d0ee34b","contributors":{"authors":[{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Cherie V. 0000-0001-7765-5919 cvmiller@usgs.gov","orcid":"https://orcid.org/0000-0001-7765-5919","contributorId":863,"corporation":false,"usgs":true,"family":"Miller","given":"Cherie","email":"cvmiller@usgs.gov","middleInitial":"V.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":471651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Joseph M. 0000-0002-2536-2070 jmbell@usgs.gov","orcid":"https://orcid.org/0000-0002-2536-2070","contributorId":5063,"corporation":false,"usgs":true,"family":"Bell","given":"Joseph","email":"jmbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Majedi, Brenda Feit","contributorId":81361,"corporation":false,"usgs":true,"family":"Majedi","given":"Brenda","email":"","middleInitial":"Feit","affiliations":[],"preferred":false,"id":471655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brower, David P. dpbrower@usgs.gov","contributorId":5061,"corporation":false,"usgs":true,"family":"Brower","given":"David","email":"dpbrower@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":471652,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042440,"text":"70042440 - 2013 - Accuracy assessment of NLCD 2006 land cover and impervious surface","interactions":[],"lastModifiedDate":"2013-01-09T10:23:55","indexId":"70042440","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy assessment of NLCD 2006 land cover and impervious surface","docAbstract":"Release of NLCD 2006 provides the first wall-to-wall land-cover change database for the conterminous United States from Landsat Thematic Mapper (TM) data. Accuracy assessment of NLCD 2006 focused on four primary products: 2001 land cover, 2006 land cover, land-cover change between 2001 and 2006, and impervious surface change between 2001 and 2006. The accuracy assessment was conducted by selecting a stratified random sample of pixels with the reference classification interpreted from multi-temporal high resolution digital imagery. The NLCD Level II (16 classes) overall accuracies for the 2001 and 2006 land cover were 79% and 78%, respectively, with Level II user's accuracies exceeding 80% for water, high density urban, all upland forest classes, shrubland, and cropland for both dates. Level I (8 classes) accuracies were 85% for NLCD 2001 and 84% for NLCD 2006. The high overall and user's accuracies for the individual dates translated into high user's accuracies for the 2001–2006 change reporting themes water gain and loss, forest loss, urban gain, and the no-change reporting themes for water, urban, forest, and agriculture. The main factor limiting higher accuracies for the change reporting themes appeared to be difficulty in distinguishing the context of grass. We discuss the need for more research on land-cover change accuracy assessment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2012.12.001","usgsCitation":"Wickham, J.D., Stehman, S.V., Gass, L., Dewitz, J., Fry, J.A., and Wade, T., 2013, Accuracy assessment of NLCD 2006 land cover and impervious surface: Remote Sensing of Environment, v. 130, p. 294-304, https://doi.org/10.1016/j.rse.2012.12.001.","productDescription":"11 p.","startPage":"294","endPage":"304","ipdsId":"IP-040031","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":265420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265419,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2012.12.001"}],"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 ] ] ] } } ] }","volume":"130","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee916de4b0160a2d0ee327","chorus":{"doi":"10.1016/j.rse.2012.12.001","url":"http://dx.doi.org/10.1016/j.rse.2012.12.001","publisher":"Elsevier BV","authors":"Wickham James D., Stehman Stephen V., Gass Leila, Dewitz Jon, Fry Joyce A., Wade Timothy G.","journalName":"Remote Sensing of Environment","publicationDate":"3/2013"},"contributors":{"authors":[{"text":"Wickham, James D.","contributorId":72278,"corporation":false,"usgs":false,"family":"Wickham","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":471534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":471535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":471531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewitz, Jon 0000-0002-0458-212X dewitz@usgs.gov","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":2401,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","email":"dewitz@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":471530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fry, Joyce A. 0000-0002-8466-9582","orcid":"https://orcid.org/0000-0002-8466-9582","contributorId":69293,"corporation":false,"usgs":true,"family":"Fry","given":"Joyce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wade, Timothy G.","contributorId":48845,"corporation":false,"usgs":true,"family":"Wade","given":"Timothy G.","affiliations":[],"preferred":false,"id":471532,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70058004,"text":"70058004 - 2013 - Movement mysteries unveiled: spatial ecology of juvenile green sea turtles","interactions":[],"lastModifiedDate":"2014-01-08T14:42:07","indexId":"70058004","displayToPublicDate":"2013-01-08T14:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Movement mysteries unveiled: spatial ecology of juvenile green sea turtles","docAbstract":"Locations of important foraging areas are not well defined for many marine species. Unraveling these mysteries is vital to develop conservation strategies for these species, many of which are threatened or endangered. Satellite-tracking is a tool that can reveal movement patterns at both broad and fine spatial scales, in all marine environments. This chapter presents records of the longest duration track of an individual juvenile green turtle (434 days) and highest number of tracking days in any juvenile green turtle study (5483 tracking days) published to date. In this chapter, we use spatial modeling techniques to describe movements and identify foraging areas for juvenile green turtles (Chelonia mydas) captured in a developmental habitat in south Texas, USA. Some green turtles established residency in the vicinity of their capture and release site, but most used a specific habitat feature (i.e., a jettied pass) to travel between the Gulf of Mexico and a nearby bay. Still others moved southward within the Gulf of Mexico into Mexican coastal waters, likely in response to decreasing water temperatures. These movements to waters off the coast of Mexico highlight the importance of international cooperation in restoration efforts undertaken on behalf of this imperiled species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptiles in research: investigations of ecology, physiology, and behavior from desert to sea","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Nova Science Publishers, Inc.","publisherLocation":"Hauppauge, NY","usgsCitation":"Shaver, D.J., Hart, K.M., Fujisaki, I., Rubio, C., and Sartain-Iverson, A.R., 2013, Movement mysteries unveiled: spatial ecology of juvenile green sea turtles, chap. of Reptiles in research: investigations of ecology, physiology, and behavior from desert to sea, p. 463-484.","productDescription":"22 p.","startPage":"463","endPage":"484","numberOfPages":"22","ipdsId":"IP-044789","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":280756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280755,"type":{"id":15,"text":"Index Page"},"url":"https://www.novapublishers.com/catalog/product_info.php?products_id=46914"}],"country":"Mexico;United States","state":"Texas","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.0,25.5 ], [ -98.0,28.0 ], [ -96.0,28.0 ], [ -96.0,25.5 ], [ -98.0,25.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd684fe4b0b29085101f1c","contributors":{"editors":[{"text":"Lutterschmidt, William I.","contributorId":111950,"corporation":false,"usgs":true,"family":"Lutterschmidt","given":"William","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":509655,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Shaver, Donna J.","contributorId":11104,"corporation":false,"usgs":true,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":486959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubio, Cynthia","contributorId":39277,"corporation":false,"usgs":true,"family":"Rubio","given":"Cynthia","email":"","affiliations":[],"preferred":false,"id":486960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":486957,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70040813,"text":"70040813 - 2013 - Avoiding The Inevitable? Capacity Loss From Reservoir Sedimentation","interactions":[],"lastModifiedDate":"2013-02-15T16:44:19","indexId":"70040813","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Avoiding The Inevitable? Capacity Loss From Reservoir Sedimentation","docAbstract":"The inexorable loss of capacity of the nation's reservoirs—sooner or later threatening water supplies for municipal, agricultural, and industrial uses—is but one of a number of deleterious effects wrought by sediment deposition. Trapped sediments can also damage or bury dam outlets, water intakes, and related infrastructure. Downstream effects of sediment capture and retention by reservoirs can include channel and habitat degradation and biotic alterations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013EO010008","usgsCitation":"Gray, J.R., Randle, T.J., and Collins, K.L., 2013, Avoiding The Inevitable? Capacity Loss From Reservoir Sedimentation: Eos, Transactions, American Geophysical Union, v. 94, no. 1, p. 4-4, https://doi.org/10.1002/2013EO010008.","startPage":"4","endPage":"4","ipdsId":"IP-041556","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":473979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013eo010008","text":"Publisher Index Page"},{"id":267582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267581,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013EO010008"}],"country":"United States","volume":"94","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-02","publicationStatus":"PW","scienceBaseUri":"511f66fde4b03b29402c5d7d","contributors":{"authors":[{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":469071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randle, Timothy J.","contributorId":90994,"corporation":false,"usgs":false,"family":"Randle","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":469073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Kent L.","contributorId":51179,"corporation":false,"usgs":true,"family":"Collins","given":"Kent","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469072,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192405,"text":"70192405 - 2013 - Predicting thermal reference conditions for USA streams and rivers","interactions":[],"lastModifiedDate":"2017-10-26T13:31:18","indexId":"70192405","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Predicting thermal reference conditions for USA streams and rivers","docAbstract":"Temperature is a primary driver of the structure and function of stream ecosystems. However, the lack of stream temperature (ST) data for the vast majority of streams and rivers severely compromises our ability to describe patterns of thermal variation among streams, test hypotheses regarding the effects of temperature on macroecological patterns, and assess the effects of altered STs on ecological resources. Our goal was to develop empirical models that could: 1) quantify the effects of stream and watershed alteration (SWA) on STs, and 2) accurately and precisely predict natural (i.e., reference condition) STs in conterminous USA streams and rivers. We modeled 3 ecologically important elements of the thermal regime: mean summer, mean winter, and mean annual ST. To build reference-condition models (RCMs), we used daily mean ST data obtained from several thousand US Geological Survey temperature sites distributed across the conterminous USA and iteratively modeled ST with Random Forests to identify sites in reference condition. We first created a set of dirty models (DMs) that related STs to both natural factors (e.g., climate, watershed area, topography) and measures of SWA, i.e., reservoirs, urbanization, and agriculture. The 3 models performed well (r2 = 0.84–0.94, residual mean square error [RMSE] = 1.2–2.0°C). For each DM, we used partial dependence plots to identify SWA thresholds below which response in ST was minimal. We then used data from only the sites with upstream SWA below these thresholds to build RCMs with only natural factors as predictors (r2 = 0.87–0.95, RMSE = 1.1–1.9°C). Use of only reference-quality sites caused RCMs to suffer modest loss of predictor space and spatial coverage, but this loss was associated with parts of ST response curves that were flat and, therefore, not responsive to further variation in predictor space. We then compared predictions made with the RCMs to predictions made with the DMs with SWA set to 0. For most DMs, setting SWAs to 0 resulted in biased estimates of thermal reference condition.
","language":"English","publisher":"University of Chicago Press","doi":"10.1899/12-009.1","usgsCitation":"Hill, R.A., Hawkins, C.P., and Carlisle, D.M., 2013, Predicting thermal reference conditions for USA streams and rivers: Freshwater Science, v. 32, no. 1, p. 39-55, https://doi.org/10.1899/12-009.1.","productDescription":"17 p.","startPage":"39","endPage":"55","ipdsId":"IP-039780","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":473978,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/12-009.1","text":"External Repository"},{"id":347475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ef3de4b09af898c8cd84","contributors":{"authors":[{"text":"Hill, Ryan A.","contributorId":198332,"corporation":false,"usgs":false,"family":"Hill","given":"Ryan","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":715712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins, Charles P.","contributorId":198331,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles","email":"","middleInitial":"P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":715711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":715710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042380,"text":"tm7C9 - 2013 - Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions","interactions":[],"lastModifiedDate":"2013-01-06T13:04:47","indexId":"tm7C9","displayToPublicDate":"2013-01-06T00:00:00","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":"7-C9","title":"Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions","docAbstract":"The application bgaPEST is a highly parameterized inversion software package implementing the Bayesian Geostatistical Approach in a framework compatible with the parameter estimation suite PEST. Highly parameterized inversion refers to cases in which parameters are distributed in space or time and are correlated with one another. The Bayesian aspect of bgaPEST is related to Bayesian probability theory in which prior information about parameters is formally revised on the basis of the calibration dataset used for the inversion. Conceptually, this approach formalizes the conditionality of estimated parameters on the specific data and model available. The geostatistical component of the method refers to the way in which prior information about the parameters is used. A geostatistical autocorrelation function is used to enforce structure on the parameters to avoid overfitting and unrealistic results. Bayesian Geostatistical Approach is designed to provide the smoothest solution that is consistent with the data. Optionally, users can specify a level of fit or estimate a balance between fit and model complexity informed by the data. Groundwater and surface-water applications are used as examples in this text, but the possible uses of bgaPEST extend to any distributed parameter applications.","largerWorkTitle":"Automated Data Processing and Computations (Book 7)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C9","collaboration":"Groundwater Resources Program and Global Change Research and Development. This report is Chapter 9 of Section C, Computer programs, in Book 7, Automated Data Processing and Computations.","usgsCitation":"Fienen, M., D'Oria, M., Doherty, J.E., and Hunt, R.J., 2013, Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions: U.S. Geological Survey Techniques and Methods 7-C9, Report: vi, 86 p.; Software; Development GIT Repository, https://doi.org/10.3133/tm7C9.","productDescription":"Report: vi, 86 p.; Software; Development GIT Repository","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_C9.gif"},{"id":265304,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/07/c09/"},{"id":265305,"type":{"id":4,"text":"Application Site"},"url":"https://pubs.usgs.gov/tm/07/c09/Downloads"},{"id":265306,"type":{"id":7,"text":"Companion Files"},"url":"https://github.com/mnfienen-usgs/bgaPEST"},{"id":265308,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c09/pdf/TM7-C9.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9ce2e4b02dd6076fad83","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D'Oria, Marco","contributorId":24253,"corporation":false,"usgs":true,"family":"D'Oria","given":"Marco","affiliations":[],"preferred":false,"id":471427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":471426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042378,"text":"sir20125217 - 2013 - Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","interactions":[],"lastModifiedDate":"2013-01-06T12:06:52","indexId":"sir20125217","displayToPublicDate":"2013-01-05T00:00:00","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":"2012-5217","title":"Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","docAbstract":"Hydrologic and water-quality data were collected at Bower Creek during the periods before best-management practices (BMPs), and after BMPs were installed for evaluation of water-quality improvements. The monitoring was done between 1990 and 2009 with the pre-BMP period ending in July 1994 and the post-BMP period beginning in October 2006. BMPs installed in this basin included streambank protection and fencing, stream crossings, grade stabilization, buffer strips, various barnyard-runoff controls, nutrient management, and a low degree of upland BMPs. Water-quality evaluations included base-flow concentrations and storm loads for total suspended solids, total phosphorus, and ammonia nitrogen. The only reductions detected between the base-flow samples of the pre- and post-BMP periods were in median concentrations of total phosphorus from base-flow samples, but not for total suspended solids or dissolved ammonia nitrogen. Differences in storm loads for the three water-quality constituents monitored were not observed during the study period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125217","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Corsi, S., Horwatich, J.A., Rutter, T.D., and Bannerman, R.T., 2013, Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009: U.S. Geological Survey Scientific Investigations Report 2012-5217, viii, 21 p., https://doi.org/10.3133/sir20125217.","productDescription":"viii, 21 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5217.gif"},{"id":265294,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5217/"},{"id":265295,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5217/pdf/sir2012-5217_508.pdf"}],"scale":"24000","country":"United States","state":"Wisconsin","county":"Brown","city":"Bellevue;De Pere;Green Leaf;Morrison","otherGeospatial":"Bower Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.016667,44.341667 ], [ -88.016667,44.433333 ], [ -87.925,44.433333 ], [ -87.925,44.341667 ], [ -88.016667,44.341667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50eaab77e4b02dd6076fada3","contributors":{"authors":[{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":511,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutter, Troy D. 0000-0001-5130-204X tdrutter@usgs.gov","orcid":"https://orcid.org/0000-0001-5130-204X","contributorId":2081,"corporation":false,"usgs":true,"family":"Rutter","given":"Troy","email":"tdrutter@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70045605,"text":"70045605 - 2013 - A review of episodes of zinc phosphide toxicosis in wild geese (Branta spp.) in Oregon (2004−2011)","interactions":[],"lastModifiedDate":"2015-05-04T16:05:59","indexId":"70045605","displayToPublicDate":"2013-01-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"A review of episodes of zinc phosphide toxicosis in wild geese (Branta spp.) in Oregon (2004−2011)","docAbstract":"Epizootic mortality in several geese species, including cackling geese (Branta hutchinsii) and Canada geese (Branta canadensis), has been recognized in the Willamette Valley of Oregon for over a decade. Birds are generally found dead on a body of water or are occasionally observed displaying neurologic clinical signs such as an inability to raise or control the head prior to death. Investigation of these epizootic mortality events has revealed the etiology to be accidental poisoning with the rodenticide zinc phosphide (Zn3P2). Gross and histologic changes are restricted to acute pulmonary congestion and edema, sometimes accompanied by distension of the upper alimentary tract by fresh grass. Geese are unusually susceptible to this pesticide; when combined with an epidemiologic confluence of depredation of specific agricultural crops by rodents and seasonal avian migration pathways, epizootic toxicosis may occur. Diagnosis requires a high index of suspicion, appropriate sample collection and handling, plus specific test calibration for this toxicant. Interagency cooperation, education of farmers regarding pesticide use, and enforcement of regulations has been successful in greatly decreasing these mortality events since 2009.
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L.","contributorId":11869,"corporation":false,"usgs":true,"family":"Schuler","given":"Krysten L.","affiliations":[],"preferred":false,"id":477949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":111,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":477947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolff, Peregrine L.","contributorId":69865,"corporation":false,"usgs":true,"family":"Wolff","given":"Peregrine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":477952,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gillin, Colin 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The most recent was in 1861, and it bankrupted the state. Such floods were most likely caused by atmospheric rivers: narrow bands of water vapor about a mile above the ocean that extend for thousands of miles. Much smaller forms of these rivers regularly hit California, as well as the western coasts of other countries.\nScientists who created a simulated megastorm, called ARkStorm, that was patterned after the 1861 flood but was less severe, found that such a torrent could force more than a million people to evacuate and cause $400 billion in losses if it happened in California today. Forecasters are getting better at predicting the arrival of atmospheric rivers, which will improve warnings about flooding from the common storms and about the potential for catastrophe from a megastorm.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Scientific American","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/scientificamerican0113-64","usgsCitation":"Dettinger, M., and Ingram, B.L., 2013, The coming megafloods: Scientific American, v. 308, p. 64-71, https://doi.org/10.1038/scientificamerican0113-64.","startPage":"64","endPage":"71","ipdsId":"IP-041832","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":279637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279636,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/scientificamerican0113-64"}],"country":"United States","state":"California","volume":"308","noUsgsAuthors":false,"publicationDate":"2012-12-18","publicationStatus":"PW","scienceBaseUri":"52947f87e4b01cca2b116131","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":31743,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":468386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingram, B. Lynn","contributorId":105631,"corporation":false,"usgs":true,"family":"Ingram","given":"B.","email":"","middleInitial":"Lynn","affiliations":[],"preferred":false,"id":468387,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049004,"text":"sir20135203 - 2013 - Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011","interactions":[],"lastModifiedDate":"2014-01-02T11:46:06","indexId":"sir20135203","displayToPublicDate":"2013-01-02T11:21:11","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":"2013-5203","title":"Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011","docAbstract":"The Platte River is a vital natural resource for the people, plants, and animals of Nebraska. A recent study quantified water use by riparian woodlands along central reaches of the Platte River, Nebraska, finding that water use was mainly regulated below maximum predicted levels. A comparative study was launched through a cooperative partnership between the U.S. Geological Survey, the Central Platte Natural Resources District, the Nebraska Department of Natural Resources, and the Nebraska Environmental Trust to compare water use of a riparian woodland with that of a grazed riparian grassland along the central Platte River. This report describes the results of the 3-year study by the U.S. Geological Survey to measure the evapotranspiration (ET) rates in the two riparian vegetation communities. Evapotranspiration was measured during 2008–09 and 2011 using the eddy-covariance method at a riparian woodland near Odessa, hereinafter referred to as the “woodland site,” and a riparian grassland pasture near Elm Creek, hereinafter referred to as the “grassland site.” Overall, annual ET totals at the grassland site were 90 percent of the annual ET measured at the woodland site, with averages of 653 millimeters (mm) and 726 mm, respectively. Evapotranspiration rates were similar at the grassland site and the woodland site during the spring and fall seasons, but at the woodland site ET rates were higher than those of the grassland site during the peak-growth summer months of June through August. These seasonal differences and the slightly lower ET rates at the grassland site were likely the result of differing plant communities, disturbance effects related to grazing and flooding, and climatic differences between the sites. The annual water balance was calculated for each site and indicated that the predominant factors in the water balance at both sites were ET and precipitation. Annual precipitation for the study period ranged from near to above the normal precipitation of 640 mm. Substantial precipitation fell in May and October 2008 that caused flooding along the Platte River in May of this especially wet year. There was a deficit in precipitation compared to ET at both sites in 2009 and 2011, leading to a net groundwater use of greater than 140 mm per year at the woodland site and greater than 55 mm per year at the grassland site. This indicates that the net annual groundwater use or recharge depends predominately upon the relation between ET and precipitation in these riparian areas with shallow soil layers above the groundwater table. Prior research at the woodland site provided four additional annual water balances dating back to 2002 for comparison with the study period at the woodland site. Perhaps most striking in this comparison was the 25-percent increase in annual ET for 2008–09 and 2011 despite precipitation totals and potential ET rates that were within the range of those measured in 2002–05. As a result, the water balance indicates that groundwater was discharged 2 of the 3 years of the study. This likely was caused by higher groundwater levels and a healthier plant community in 2008–09 and 2011 relative to the drought-affected years of 2002–05. As a result of these changes, the crop coefficients developed for riparian woodlands during the prior research underestimated 2008–09 and 2011 annual ET rates by an average of 35 percent. Though new crop coefficients were developed by this study, the importance of soil-moisture stress and plant community successional dynamics need to be considered when applying these coefficients at other riparian sites or into the future. Nonetheless, their development and the data on which they are based may provide improved understanding of water consumption by riparian grasslands and riparian woodlands along the central Platte River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135203","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District, the Nebraska Department of Natural Resources, and the Nebraska Environmental Trust","usgsCitation":"Hall, B.M., and Rus, D.L., 2013, Comparison of water consumption in two riparian vegetation communities along the central Platte River, Nebraska, 2008–09 and 2011: U.S. Geological Survey Scientific Investigations Report 2013-5203, Report: vi, 26 p.; Downloads Directory, https://doi.org/10.3133/sir20135203.","productDescription":"Report: vi, 26 p.; Downloads Directory","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045289","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":280577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":280572,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5203/"},{"id":280575,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5203/pdf/sir2013-5203.pdf"},{"id":280576,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5203/downloads/"}],"country":"United States","state":"Nebraska","otherGeospatial":"Central Platte River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.5,40 ], [ -100.5,41.5 ], [ 98,41.5 ], [ 98,40 ], [ -100.5,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd521ee4b0b290850f4577","contributors":{"authors":[{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485984,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}