{"pageNumber":"163","pageRowStart":"4050","pageSize":"25","recordCount":16461,"records":[{"id":70040246,"text":"sir20125213 - 2012 - Simulation of daily streamflows at gaged and ungaged locations within the Cedar River Basin, Iowa, using a Precipitation-Runoff Modeling System model","interactions":[],"lastModifiedDate":"2012-10-10T17:16:12","indexId":"sir20125213","displayToPublicDate":"2012-10-10T00:00:00","publicationYear":"2012","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":"2012-5213","title":"Simulation of daily streamflows at gaged and ungaged locations within the Cedar River Basin, Iowa, using a Precipitation-Runoff Modeling System model","docAbstract":"The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, conducted a study to examine techniques for estimation of daily streamflows using hydrological models and statistical methods. This report focuses on the use of a hydrologic model, the U.S. Geological Survey's Precipitation-Runoff Modeling System, to estimate daily streamflows at gaged and ungaged locations. The Precipitation-Runoff Modeling System is a modular, physically based, distributed-parameter modeling system developed to evaluate the impacts of various combinations of precipitation, climate, and land use on surface-water runoff and general basin hydrology. The Cedar River Basin was selected to construct a Precipitation-Runoff Modeling System model that simulates the period from January 1, 2000, to December 31, 2010. The calibration period was from January 1, 2000, to December 31, 2004, and the validation periods were from January 1, 2005, to December 31, 2010 and January 1, 2000 to December 31, 2010. A Geographic Information System tool was used to delineate the Cedar River Basin and subbasins for the Precipitation-Runoff Modeling System model and to derive parameters based on the physical geographical features. Calibration of the Precipitation-Runoff Modeling System model was completed using a U.S. Geological Survey calibration software tool. The main objective of the calibration was to match the daily streamflow simulated by the Precipitation-Runoff Modeling System model with streamflow measured at U.S. Geological Survey streamflow gages. The Cedar River Basin daily streamflow model performed with a Nash-Sutcliffe efficiency ranged from 0.82 to 0.33 during the calibration period, and a Nash-Sutcliffe efficiency ranged from 0.77 to -0.04 during the validation period. The Cedar River Basin model is meeting the criteria of greater than 0.50 Nash-Sutcliffe and is a good fit for streamflow conditions for the calibration period at all but one location, Austin, Minnesota. The Precipitation-Runoff Modeling System model accurately simulated streamflow at four of six uncalibrated sites within the basin. Overall, there was good agreement between simulated and measured seasonal and annual volumes throughout the basin for calibration and validation sites. The calibration period ranged from 0.2 to 20.8 percent difference, and the validation period ranged from 0.0 to 19.5 percent difference across all seasons and total annual runoff. The Precipitation-Runoff Modeling System model tended to underestimate lower streamflows compared to the observed streamflow values. This is an indication that the Precipitation-Runoff Modeling model needs more detailed groundwater and storage information to properly model the low-flow conditions in the Cedar River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125213","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Christiansen, D.E., 2012, Simulation of daily streamflows at gaged and ungaged locations within the Cedar River Basin, Iowa, using a Precipitation-Runoff Modeling System model: U.S. Geological Survey Scientific Investigations Report 2012-5213, iv, 20 p., https://doi.org/10.3133/sir20125213.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":262512,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5213.gif"},{"id":262508,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5213/","linkFileType":{"id":5,"text":"html"}},{"id":262509,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5213/sir2012-5213.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Iowa","otherGeospatial":"Cedar River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0000,41.2500 ], [ -94.0000,44.0000 ], [ -90.5000,44.0000 ], [ -90.5000,41.2500 ], [ -94.0000,41.2500 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4c6bfe4b0e8fec6ce104a","contributors":{"authors":[{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467960,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040244,"text":"sim3177 - 2012 - Geologic map of the north polar region of Mars","interactions":[],"lastModifiedDate":"2023-03-16T18:53:06.432986","indexId":"sim3177","displayToPublicDate":"2012-10-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3177","title":"Geologic map of the north polar region of Mars","docAbstract":"The north polar region of Mars occurs within the central and lowest part of the vast northern plains of Mars and is dominated by the roughly circular north polar plateau, Planum Boreum. The northern plains formed very early in Martian time and have collected volcanic flows and sedimentary materials shed from highland sources. Planum Boreum has resulted from the accumulation of water ice and dust particles. Extensive, uncratered dune fields adjacent to Planum Boreum attest to the active and recent transport and accumulation of sand. Our geologic map of Planum Boreum is the first to record its entire observable stratigraphic record using the various post-Viking image and topography datasets released before 2009. We also provide much more detail in the map than previously published, including some substantial revisions based on new data and observations. The available data have increased and improved immensely in quantity, resolution, coverage, positional accuracy, and spectral range, enabling us to resolve previously unrecognized geomorphic features, stratigraphic relations, and compositional information. We also employ more carefully prescribed and effective mapping methodologies and digital techniques, as well as formatting guidelines. The foremost aspect to our mapping approach is how geologic units are discriminated based primarily on their temporal relations with other units as expressed in unit contacts by unconformities or by gradational relations. Whereas timing constraints of such activity in the north polar region are now better defined stratigraphically, they remain poorly constrained chronologically. The end result is a new reconstruction of the sedimentary, erosional, and structural histories of the north polar region and how they may have been driven by climate conditions, available geologic materials, and eolian, periglacial, impact, magmatic, hydrologic, and tectonic activity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3177","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Tanaka, K.L., and Fortezzo, C.M., 2012, Geologic map of the north polar region of Mars: U.S. Geological Survey Scientific Investigations Map 3177, Pamphlet: i, 11 p.; 1 Sheet: 60 x 44 inches; Readme File; Metadata Folder; GIS Database, https://doi.org/10.3133/sim3177.","productDescription":"Pamphlet: i, 11 p.; 1 Sheet: 60 x 44 inches; Readme File; Metadata Folder; GIS Database","numberOfPages":"15","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":414294,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P92HAU5N","text":"Interactive map","linkHelpText":"- Web App: SIM 3177 Geologic Map of the North Polar Region of Mars, 1:2M. Tanaka and Fortezzo (2012)"},{"id":262511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3177.jpg"},{"id":262505,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3177/sim3177_sheet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262502,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3177/","linkFileType":{"id":5,"text":"html"}},{"id":262504,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3177/sim3177_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Polar Stereographic projection","otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50dde219e4b0e31bb0285c55","contributors":{"authors":[{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":467958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortezzo, Corey M. 0000-0001-8188-5530 cfortezzo@usgs.gov","orcid":"https://orcid.org/0000-0001-8188-5530","contributorId":25383,"corporation":false,"usgs":true,"family":"Fortezzo","given":"Corey","email":"cfortezzo@usgs.gov","middleInitial":"M.","affiliations":[{"id":130,"text":"Astrogeology Research Center","active":false,"usgs":true}],"preferred":false,"id":467959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040228,"text":"ofr20121035 - 2012 - Quantity and quality of stormwater collected from selected stormwater outfalls at industrial sites, Fort Gordon, Georgia, 2011","interactions":[],"lastModifiedDate":"2016-12-08T15:06:56","indexId":"ofr20121035","displayToPublicDate":"2012-10-09T00:00:00","publicationYear":"2012","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":"2012-1035","title":"Quantity and quality of stormwater collected from selected stormwater outfalls at industrial sites, Fort Gordon, Georgia, 2011","docAbstract":"<p>An assessment of the quantity and quality of stormwater runoff associated with industrial activities at Fort Gordon was conducted from January through December 2011. The assessment was provided to satisfy the requirements from a general permit that authorizes the discharge of stormwater under the National Pollutant Discharge Elimination System from a site associated with industrial activities. The stormwater quantity refers to the runoff discharge at the point and time of the runoff sampling. The study was conducted by the U.S. Geological Survey, in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon. </p>          \r\n<p>The initial scope of this study was to sample stormwater runoff from five stations at four industrial sites (two landfills and two heating and cooling sites). As a consequence of inadequate hydrologic conditions during 2011, no samples were collected at the two landfills; however, three samples were collected from the heating and cooling sites.</p>\r\n<p>The assessment included the collection of physical properties, such as water temperature, specific conductance, dissolved oxygen, and pH; the detection of suspended materials (total suspended solids, total fixed solids, total volatile solids), nutrients and organic compounds, and major and trace inorganic compounds (metals); and the detection of volatile and semivolatile organic compounds. Nutrients and organic compounds, major and trace inorganic compounds, and volatile and semivolatile organic compounds were detected above the laboratory reporting levels in all samples collected from the three stations. The detection of volatile and semivolatile organic compounds included anthracene, benzo[<i>a</i>]anthracene, benzo[<i>a</i>]pyrene, benzo[<i>ghi</i>]perylene,<i> cis</i>,1, 2-dichloroethene, dimethyl phthalate, fluoranthene, naphthalene, pyrene, acenaphthylene (station SWR11-3), and di-n-butyl phthalate (station SWR11-4).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121035","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U. S. Army Signal Center and Fort Gordon","usgsCitation":"Nagle, D.D., and Guimaraes, W.B., 2012, Quantity and quality of stormwater collected from selected stormwater outfalls at industrial sites, Fort Gordon, Georgia, 2011: U.S. Geological Survey Open-File Report 2012-1035, vi, 18 p., https://doi.org/10.3133/ofr20121035.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":262491,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1035.jpg"},{"id":262489,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1035/pdf/ofr2012-1035.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262488,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1035/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Georgia","city":"Fort Gordon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.2500,32.3667 ], [ -82.2500,32.4500 ], [ -82.1333,32.4500 ], [ -82.1333,32.3667 ], [ -82.2500,32.3667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e49809e4b0e8fec6cd9bb7","contributors":{"authors":[{"text":"Nagle, Doug D. ddnagle@usgs.gov","contributorId":2697,"corporation":false,"usgs":true,"family":"Nagle","given":"Doug","email":"ddnagle@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":467934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467935,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040225,"text":"ds700 - 2012 - Data resources for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA)","interactions":[],"lastModifiedDate":"2013-03-08T12:58:23","indexId":"ds700","displayToPublicDate":"2012-10-09T00:00:00","publicationYear":"2012","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":"700","title":"Data resources for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA)","docAbstract":"The data contained in this report were compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management questions. The IA analysis was conducted using a Geographic Information System in a raster (that is, a grid) environment using a cell size of 30 meters. To facilitate the interpretation of the data in a regional context, mean values were summarized and displayed at the subwatershed unit (WLCI subwatersheds were subset from the National Hydrography Dataset, Hydrologic Unit Code 12/Level 6). A dynamic mapping platform, accessed via the WLCI webpage at <a href=\"http://www.wlci.gov\"><i>http://www.wlci.gov</i></a> is used to display the mapped information, and to access underlying resource values that were combined to produce the final mapped results. The raster data used in the IA are provided here for use by interested parties to conduct additional analyses and can be accessed via the WLCI webpage. This series contains 74 spatial data sets: WLCI subwatersheds (vector) and 73 geotiffs (raster) that are segregated into the major categories of Multicriteria Index (including Resource Index and Condition), Change Agents, and Future Change. The Total Multicriteria Index is composed of the Aquatic Multicriteria Index and the Terrestrial Multicriteria Index. The Aquatic Multicriteria Index is composed of the Aquatic Resource Index and the Aquatic Condition. The Aquatic Resource Index is composed of the following components: Groundwater, Special Management Areas, and Priority Areas. The Aquatic Condition is composed of the following components: Focal Species, Species of Concern, Focal Ecosystems, and Proper Functioning Condition. The Terrestrial Multicriteria Index is composed of the Terrestrial Resource Index and the Terrestrial Condition. The Terrestrial Resource Index is composed of the following components: Special Management Areas, Agriculture, and Priority Areas. The Terrestrial Condition is composed of the following components: Focal Species, Big Game, Species of Concern, Rare Plants, and Focal Ecosystems. The Change Agents are composed the following components: Roads, Energy, Mines, and Urban. The Future Change is composed of the following components: Oil-Gas-Coal, Wind, Minerals, Climate-Temperature, Invasive Species, and Urban.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds700","usgsCitation":"Assal, T.J., Garman, S.L., Bowen, Z.H., Anderson, P.J., Manier, D.J., and McDougal, R., 2012, Data resources for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA): U.S. Geological Survey Data Series 700, Download Data: 1 p.; Downloads Directory, https://doi.org/10.3133/ds700.","productDescription":"Download Data: 1 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":262483,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/700/","linkFileType":{"id":1,"text":"pdf"}},{"id":262485,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/700/downloads/","linkFileType":{"id":5,"text":"html"}},{"id":262484,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/700/downloads/DS700_links_for_webpage.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262492,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_700.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,41.0000 ], [ -111.0569,45.0000 ], [ -104.0500,45.0000 ], [ -104.0500,41.0000 ], [ -111.0569,41.0000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d9ef1fe4b07a5aecdefbe0","contributors":{"authors":[{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":467930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":4589,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":467931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDougal, Robert R.","contributorId":53418,"corporation":false,"usgs":true,"family":"McDougal","given":"Robert R.","affiliations":[],"preferred":false,"id":467932,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040217,"text":"ofr20121199 - 2012 - Hydrological information products for the Off-Project Water Program of the Klamath Basin Restoration Agreement","interactions":[],"lastModifiedDate":"2013-06-18T10:59:41","indexId":"ofr20121199","displayToPublicDate":"2012-10-09T00:00:00","publicationYear":"2012","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":"2012-1199","title":"Hydrological information products for the Off-Project Water Program of the Klamath Basin Restoration Agreement","docAbstract":"The Klamath Basin Restoration Agreement (KBRA) was developed by a diverse group of stakeholders, Federal and State resource management agencies, Tribal representatives, and interest groups to provide a comprehensive solution to ecological and water-supply issues in the Klamath Basin. The Off-Project Water Program (OPWP), one component of the KBRA, has as one of its purposes to permanently provide an additional 30,000 acre-feet of water per year on an average annual basis to Upper Klamath Lake through \"voluntary retirement of water rights or water uses or other means as agreed to by the Klamath Tribes, to improve fisheries habitat and also provide for stability of irrigation water deliveries.\" The geographic area where the water rights could be retired encompasses approximately 1,900 square miles. The OPWP area is defined as including the Sprague River drainage, the Sycan River drainage downstream of Sycan Marsh, the Wood River drainage, and the Williamson River drainage from Kirk Reef at the southern end of Klamath Marsh downstream to the confluence with the Sprague River. Extensive, broad, flat, poorly drained uplands, valleys, and wetlands characterize much of the study area. Irrigation is almost entirely used for pasture. To assist parties involved with decisionmaking and implementation of the OPWP, the U.S. Geological Survey (USGS), in cooperation with the Klamath Tribes and other stakeholders, created five hydrological information products. These products include GIS digital maps and datasets containing spatial information on evapotranspiration, subirrigation indicators, water rights, subbasin streamflow statistics, and return-flow indicators. The evapotranspiration (ET) datasets were created under contract for this study by Evapotranspiration, Plus, LLC, of Twin Falls, Idaho. A high-resolution remote sensing technique known as Mapping Evapotranspiration at High Resolution and Internalized Calibration (METRIC) was used to create estimates of the spatial distribution of ET. The METRIC technique uses thermal infrared Landsat imagery to quantify actual evapotranspiration at a 30-meter resolution that can be related to individual irrigated fields. Because evaporation uses heat energy, ground surfaces with large ET rates are left cooler as a result of ET than ground surfaces that have less ET. As a consequence, irrigated fields appear in the Landsat images as cooler than nonirrigated fields. Products produced from this study include total seasonal and total monthly (April-October) actual evapotranspiration maps for 2004 (a dry year) and 2006 (a wet year). Maps showing indicators of natural subirrigation were also provided by this study. \"Subirrigation\" as used here is the evapotranspiration of shallow groundwater by plants with roots that penetrate to or near the water table. Subirrigation often occurs at locations where the water table is at or above the plant rooting depth. Natural consumptive use by plants diminishes the benefit of retiring water rights in subirrigated areas. Some agricultural production may be possible, however, on subirrigated lands for which water rights are retired. Because of the difficulty in precisely mapping and quantifying subirrigation, this study presents several sources of spatially mapped data that can be used as indicators of higher subirrigation probability. These include the floodplain boundaries defined by stream geomorphology, water-table depth defined in Natural Resources Conservation Service (NRCS) soil surveys, and soil rooting depth defined in NRCS soil surveys. The two water-rights mapping products created in the study were \"points of diversion\" (POD) and \"place of use\" (POU) for surface-water irrigation rights. To create these maps, all surface-water rights data, decrees, certificates, permits, and unadjudicated claims within the entire 1,900 square mile study area were aggregated into a common GIS geodatabase. Surface-water irrigation rights within a 5-mile buffer of the study area were then selected and identified. The POU area was then totaled by water right for primary and supplemental water rights. The maximum annual volume (acre-feet) allowed under each water right also was calculated using the POU area and duty (allowable annual irrigation application in feet). In cases where a water right has more than one designated POD, the total volume for the water right was equally distributed to each POD listed for the water right. Because of this, mapped distribution of diversion rates for some rights may differ from actual practice. Water-right information in the map products was from digital datasets obtained from the Oregon Water Resources Department and was, at the time acquired, the best available compilation of water-right information available. Because the completeness and accuracy of the water-right data could not be verified, users are encouraged to check directly with the Oregon Water Resources Department where specific information on individual rights or locations is essential. A dataset containing streamflow statistics for 72 subbasins in the study area was created for the study area. The statistics include annual flow durations (5-, 10-, 25-, 50-, and 95-percent exceedances) and 7-day, 10-year (7Q10) and 7-day, 2-year (7Q2) low flows, and were computed using regional regression equations based on measured streamflow records in the region. Daily streamflow records used were adjusted as needed for crop consumptive use; therefore the statistics represent streamflow under more natural conditions as though irrigation diversions did not exist. Statistics are provided for flow rates resulting from streamflow originating from within the entire drainage area upstream of the subbasin pour point (referring to the outlet of the contributing drainage basin). The statistics were computed for the purpose of providing decision makers with the ability to estimate streamflow that would be expected after water conservation techniques have been implemented or a water right has been retired. A final product from the study are datasets of indicators of the potential for subsurface return flow of irrigation water from agricultural areas to nearby streams. The datasets contain information on factors such as proximity to surface-water features, geomorphic floodplain characteristics, and depth to water. The digital data, metadata, and example illustrations for the datasets described in this report are available on-line from the USGS Water Resources National Spatial Data Infrastructure (NSDI) Node Website http://water.usgs.gov/lookup/getgislist or from the U.S. Government website DATA.gov at http://www.data.gov with links provided in a Microsoft&reg; Excel&reg; workbook in appendix A.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121199","collaboration":"Prepared in cooperation with the Klamath Tribes and in collaboration with Klamath Basin Rangeland Trust, Klamath Watershed Partnership, Sustainable Northwest, The Nature Conservancy, Upper Klamath Water Users Association, and U.S. Fish and Wildlife Service","usgsCitation":"Snyder, D.T., Risley, J.C., and Haynes, J.V., 2012, Hydrological information products for the Off-Project Water Program of the Klamath Basin Restoration Agreement: U.S. Geological Survey Open-File Report 2012-1199, iv; 20 p.; Appendix A, https://doi.org/10.3133/ofr20121199.","productDescription":"iv; 20 p.; Appendix A","numberOfPages":"27","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":262474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1199.jpg"},{"id":262417,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1199/","linkFileType":{"id":5,"text":"html"}},{"id":262418,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1199/pdf/ofr20121199.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273905,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_distance_to_gaining_streams_and_lakes.xml"},{"id":273906,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_distance_to_perennial_streams_and_lakes.xml"},{"id":273913,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_subbasin_analysis_pour_points_v3.xml"},{"id":273914,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_subbasin_analysis_v3.xml"},{"id":273915,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_water_rights_pod_20110909.xml"},{"id":273916,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_water_rights_pou_20110909.xml"},{"id":273911,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_sprague_river_oregon_geomorphology_return_flow.xml"},{"id":273912,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/kbra_opwp_sprague_river_oregon_geomorphology_subirrigation.xml"}],"country":"United States","state":"California;Oregon","otherGeospatial":"Klamath Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.33333333333333,42.166666666666664 ], [ -122.33333333333333,43.416666666666664 ], [ -120.5,43.416666666666664 ], [ -120.5,42.166666666666664 ], [ -122.33333333333333,42.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50defea8e4b0dfbe79e682c8","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":467921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467923,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040207,"text":"tm11C6 - 2012 - Digital database architecture and delineation methodology for deriving drainage basins, and a comparison of digitally and non-digitally derived numeric drainage areas","interactions":[],"lastModifiedDate":"2012-10-05T17:16:22","indexId":"tm11C6","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","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":"11-C6","title":"Digital database architecture and delineation methodology for deriving drainage basins, and a comparison of digitally and non-digitally derived numeric drainage areas","docAbstract":"The drainage basin is a fundamental hydrologic entity used for studies of surface-water resources and during planning of water-related projects. Numeric drainage areas published by the U.S. Geological Survey water science centers in Annual Water Data Reports and on the National Water Information Systems (NWIS) Web site are still primarily derived from hard-copy sources and by manual delineation of polygonal basin areas on paper topographic map sheets. To expedite numeric drainage area determinations, the Colorado Water Science Center developed a digital database structure and a delineation methodology based on the hydrologic unit boundaries in the National Watershed Boundary Dataset. This report describes the digital database architecture and delineation methodology and also presents the results of a comparison of the numeric drainage areas derived using this digital methodology with those derived using traditional, non-digital methods. (Please see report for full Abstract)","largerWorkTitle":"Collection and Delineation of Spatial Data (Book 11)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C6","collaboration":"This report is Chapter 6 of Section C in Book 11, Collection and Delineation of Spatial Data, of the USGS Techniques and Methods series.","usgsCitation":"Dupree, J.A., and Crowfoot, R.M., 2012, Digital database architecture and delineation methodology for deriving drainage basins, and a comparison of digitally and non-digitally derived numeric drainage areas: U.S. Geological Survey Techniques and Methods 11-C6, viii, 59 p., https://doi.org/10.3133/tm11C6.","productDescription":"viii, 59 p.","numberOfPages":"70","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":262309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_C6.gif"},{"id":262301,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11c6/","linkFileType":{"id":5,"text":"html"}},{"id":262302,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11c6/tm-11c-6.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50da388ae4b07a5aecdf24fd","contributors":{"authors":[{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowfoot, Richard M. crowfoot@usgs.gov","contributorId":4516,"corporation":false,"usgs":true,"family":"Crowfoot","given":"Richard","email":"crowfoot@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":467902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040215,"text":"sir20125224 - 2012 - Simulation of groundwater and surface-water resources and evaluation of water-management alternatives for the Chamokane Creek basin, Stevens County, Washington","interactions":[],"lastModifiedDate":"2012-10-05T17:16:22","indexId":"sir20125224","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","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":"2012-5224","title":"Simulation of groundwater and surface-water resources and evaluation of water-management alternatives for the Chamokane Creek basin, Stevens County, Washington","docAbstract":"A three-dimensional, transient numerical model of groundwater and surface-water flow was constructed for Chamokane Creek basin to better understand the groundwater-flow system and its relation to surface-water resources. The model described in this report can be used as a tool by water-management agencies and other stakeholders to quantitatively evaluate the effects of potential increases in groundwater pumping on groundwater and surface-water resources in the basin. The Chamokane Creek model was constructed using the U.S. Geological Survey (USGS) integrated model, GSFLOW. GSFLOW was developed to simulate coupled groundwater and surface-water resources. The model uses 1,000-foot grid cells that subdivide the model domain by 102 rows and 106 columns. Six hydrogeologic units in the model are represented using eight model layers. Daily precipitation and temperature were spatially distributed and subsequent groundwater recharge was computed within GSFLOW. Streamflows in Chamokane Creek and its major tributaries are simulated in the model by routing streamflow within a stream network that is coupled to the groundwater-flow system. Groundwater pumpage and surface-water diversions and returns specified in the model were derived from monthly and annual pumpage values previously estimated from another component of this study and new data reported by study partners. The model simulation period is water years 1980-2010 (October 1, 1979, to September 30, 2010), but the model was calibrated to the transient conditions for water years 1999-2010 (October 1, 1998, to September 30, 2010). Calibration was completed by using traditional trial-and-error methods and automated parameter-estimation techniques. The model adequately reproduces the measured time-series groundwater levels and daily streamflows. At well observation points, the mean difference between simulated and measured hydraulic heads is 7 feet with a root-mean-square error divided by the total difference in water levels of 4.7 percent. Simulated streamflow was compared to measured streamflow at the USGS streamflow-gaging station-Chamokane Creek below Falls, near Long Lake (12433200). Annual differences between measured and simulated streamflow for the site ranged from -63 to 22 percent. Calibrated model output includes a 31-year estimate of monthly water budget components for the hydrologic system. Five model applications (scenarios) were completed to obtain a better understanding of the relation between groundwater pumping and surface-water resources. The calibrated transient model was used to evaluate: (1) the connection between the upper- and middle-basin groundwater systems, (2) the effect of surface-water and groundwater uses in the middle basin, (3) the cumulative impacts of claims registry use and permit-exempt wells on Chamokane Creek streamflow, (4) the frequency of regulation due to impacted streamflow, and (5) the levels of domestic and stockwater use that can be regulated. The simulation results indicated that streamflow is affected by existing groundwater pumping in the upper and middle basins. Simulated water-management scenarios show streamflow increased relative to historical conditions as groundwater and surface-water withdrawals decreased.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125224","usgsCitation":"Ely, D.M., and Kahle, S.C., 2012, Simulation of groundwater and surface-water resources and evaluation of water-management alternatives for the Chamokane Creek basin, Stevens County, Washington: U.S. Geological Survey Scientific Investigations Report 2012-5224, viii; 74 p., https://doi.org/10.3133/sir20125224.","productDescription":"viii; 74 p.","numberOfPages":"86","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":262421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5224.jpg"},{"id":262413,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5224/pdf/sir20125224.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262412,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5224/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 11","datum":"North American Datum of 1983","country":"United States","state":"Washington","county":"Stevens County","otherGeospatial":"Chamokane Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.16666666666667,47.75 ], [ -118.16666666666667,48.18333333333333 ], [ -117.58333333333333,48.18333333333333 ], [ -117.58333333333333,47.75 ], [ -118.16666666666667,47.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4c737e4b0e8fec6ce1174","contributors":{"authors":[{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":467918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040210,"text":"ofr20121203 - 2012 - Biotic, water-quality, and hydrologic metrics calculated for the analysis of temporal trends in National Water Quality Assessment Program Data in the Western United States","interactions":[],"lastModifiedDate":"2019-12-27T10:33:37","indexId":"ofr20121203","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","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":"2012-1203","title":"Biotic, water-quality, and hydrologic metrics calculated for the analysis of temporal trends in National Water Quality Assessment Program Data in the Western United States","docAbstract":"The U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program was established by Congress in 1991 to collect long-term, nationally consistent information on the quality of the Nation's streams and groundwater. The NAWQA Program utilizes interdisciplinary and dynamic studies that link the chemical and physical conditions of streams (such as flow and habitat) with ecosystem health and the biologic condition of algae, aquatic invertebrates, and fish communities. This report presents metrics derived from NAWQA data and the U.S. Geological Survey streamgaging network for sampling sites in the Western United States, as well as associated chemical, habitat, and streamflow properties. The metrics characterize the conditions of algae, aquatic invertebrates, and fish. In addition, we have compiled climate records and basin characteristics related to the NAWQA sampling sites. The calculated metrics and compiled data can be used to analyze ecohydrologic trends over time.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121203","usgsCitation":"Wiele, S.M., Brasher, A., Miller, M.P., May, J., and Carpenter, K., 2012, Biotic, water-quality, and hydrologic metrics calculated for the analysis of temporal trends in National Water Quality Assessment Program Data in the Western United States: U.S. Geological Survey Open-File Report 2012-1203, Report: iv; 11 p.; Appendixes 1-9, https://doi.org/10.3133/ofr20121203.","productDescription":"Report: iv; 11 p.; Appendixes 1-9","numberOfPages":"20","onlineOnly":"Y","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":262400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1203.gif"},{"id":262398,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1203/","linkFileType":{"id":5,"text":"html"}},{"id":332859,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1203/of2012-1203_appendixes/of2012-1203_appendixes.html","text":"Appendixes 1-9","linkHelpText":"Web page with links to download Appendixes 1-9 as xlsx files (up to 1.6 MB each)"},{"id":262399,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1203/of2012-1203_text.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.63964843750001,\n              29.6880527498568\n            ],\n            [\n              -91.0546875,\n              29.6880527498568\n            ],\n            [\n              -91.0546875,\n              49.009050809382046\n            ],\n            [\n              -125.63964843750001,\n              49.009050809382046\n            ],\n            [\n              -125.63964843750001,\n              29.6880527498568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d8a220e4b0af4069e41a1a","contributors":{"authors":[{"text":"Wiele, Stephen M. smwiele@usgs.gov","contributorId":2199,"corporation":false,"usgs":true,"family":"Wiele","given":"Stephen","email":"smwiele@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":467913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, Jason T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":14791,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","affiliations":[],"preferred":false,"id":467912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carpenter, Kurt D. kdcar@usgs.gov","contributorId":1372,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt D.","email":"kdcar@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467909,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040193,"text":"sir20125210 - 2012 - Streamflow record extension for selected streams in the Susitna River Basin, Alaska","interactions":[],"lastModifiedDate":"2018-05-06T10:50:54","indexId":"sir20125210","displayToPublicDate":"2012-10-04T00:00:00","publicationYear":"2012","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":"2012-5210","title":"Streamflow record extension for selected streams in the Susitna River Basin, Alaska","docAbstract":"Daily streamflow records for water years 1950&ndash;2010 in the Susitna River Basin range in length from 4 to 57 years, and many are distributed within that period in a way that might not adequately represent long-term streamflow conditions. Streamflow in the basin is affected by the Pacific Decadal Oscillation (PDO), a multi-decadal climate pattern that shifted from a cool phase to a warm phase in 1976. Records for many streamgages in the basin fell mostly within one phase of the PDO, such that monthly and annual statistics from observed records might not reflect streamflow conditions over a longer period. Correlations between daily discharge values sufficed for extending streamflow records at 11 of the 14 streamgages in the basin on the basis of relatively long-term records for one or more of the streamgages within the basin, or one outside the basin, that were defined as index stations. Streamflow at the index stations was hydrologically responsive to glacier melt and snowmelt, and correlated well with flow from similar high-elevation, glaciated basins, but flow in low-elevation basins without glaciers could not be correlated to flow at any of the index stations. Kendall-Theil Robust Line multi-segment regression equations developed for one or more index stations were used to extend daily discharge values to the full 61-year period for all 11 streamgages. Monthly and annual statistics prepared for the extended records show shifts in timing of breakup and freeze-up and magnitude of snowmelt peaks largely predicted by the PDO phase.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125210","collaboration":"Prepared in cooperation with the Alaska Energy Authority","usgsCitation":"Curran, J.H., 2012, Streamflow record extension for selected streams in the Susitna River Basin, Alaska: U.S. Geological Survey Scientific Investigations Report 2012-5210, vi, 36 p.; col. ill.; map (col.); Appendix B, https://doi.org/10.3133/sir20125210.","productDescription":"vi, 36 p.; col. ill.; map (col.); Appendix B","numberOfPages":"46","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":262285,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5210.jpg"},{"id":262283,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5210/","linkFileType":{"id":5,"text":"html"}},{"id":262284,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5210/pdf/sir20125210.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alaska","otherGeospatial":"Susitna River Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506dbb05e4b002b5ec71a858","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":467863,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040189,"text":"70040189 - 2012 - Development and application of downscaled hydroclimatic predictor variables for use in climate vulnerability and assessment studies","interactions":[],"lastModifiedDate":"2012-10-04T17:16:38","indexId":"70040189","displayToPublicDate":"2012-10-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":293,"text":"Technical Paper","active":false,"publicationSubtype":{"id":4}},"title":"Development and application of downscaled hydroclimatic predictor variables for use in climate vulnerability and assessment studies","docAbstract":"This paper outlines the production of 270-meter grid-scale maps for 14 climate and derivative hydrologic variables for a region that encompasses the State of California and all the streams that flow into it. The paper describes the Basin Characterization Model (BCM), a map-based, mechanistic model used to process the hydrological variables. Three historic and three future time periods of 30 years (1911&ndash;1940, 1941&ndash;1970, 1971&ndash;2000, 2010&ndash;2039, 2040&ndash;2069, and 2070&ndash;2099) were developed that summarize 180 years of monthly historic and future climate values. These comprise a standardized set of fine-scale climate data that were shared with 14 research groups, including the U.S. National Park Service and several University of California groups as part of this project. We present three analyses done with the outputs from the Basin Characterization Model: trends in hydrologic variables over baseline, the most recent 30-year period; a calibration and validation effort that uses measured discharge values from 139 streamgages and compares those to Basin Characterization Model-derived projections of discharge for the same basins; and an assessment of the trends of specific hydrological variables that links historical trend to projected future change under four future climate projections. Overall, increases in potential evapotranspiration dominate other influences in future hydrologic cycles. Increased potential evapotranspiration drives decreasing runoff even under forecasts with increased precipitation, and drives increased climatic water deficit, which may lead to conversion of dominant vegetation types across large parts of the study region as well as have implications for rain-fed agriculture. The potential evapotranspiration is driven by air temperatures, and the Basin Characterization Model permits it to be integrated with a water balance model that can be derived for landscapes and summarized by watershed. These results show the utility of using a process-based model with modules representing different hydrological pathways that can be inter-linked.","language":"English","publisher":"California Energy Commission's California Climate Change Center","publisherLocation":"Davis, CA","collaboration":"Public Interest Energy Research (PIER) Program White Paper","usgsCitation":"Thorne, J., Boynton, R., Flint, L., Flint, A., and N’goc Le, T., 2012, Development and application of downscaled hydroclimatic predictor variables for use in climate vulnerability and assessment studies: Technical Paper, vii, 84 p.","productDescription":"vii, 84 p.","numberOfPages":"95","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262296,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://uc-ciee.org/climate-change/3/667/101/nested","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50da2331e4b07a5aecdf1805","contributors":{"authors":[{"text":"Thorne, James","contributorId":52444,"corporation":false,"usgs":true,"family":"Thorne","given":"James","affiliations":[],"preferred":false,"id":467847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boynton, Ryan","contributorId":36403,"corporation":false,"usgs":true,"family":"Boynton","given":"Ryan","affiliations":[],"preferred":false,"id":467846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":467850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":467848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"N’goc Le, Thuy","contributorId":94536,"corporation":false,"usgs":true,"family":"N’goc Le","given":"Thuy","email":"","affiliations":[],"preferred":false,"id":467849,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040168,"text":"sir20125196 - 2012 - Conceptualization of the predevelopment groundwater flow system and transient water-level responses in Yucca Flat, Nevada National Security Site, Nevada","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"sir20125196","displayToPublicDate":"2012-10-03T00:00:00","publicationYear":"2012","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":"2012-5196","title":"Conceptualization of the predevelopment groundwater flow system and transient water-level responses in Yucca Flat, Nevada National Security Site, Nevada","docAbstract":"Contaminants introduced into the subsurface of Yucca Flat, Nevada National Security Site, by underground nuclear testing are of concern to the U.S. Department of Energy and regulators responsible for protecting human health and safety. The potential for contaminant movement away from the underground test areas and into the accessible environment is greatest by groundwater transport. The primary hydrologic control on this transport is evaluated and examined through a set of contour maps developed to represent the hydraulic-head distribution within the two major aquifer systems underlying the area. Aquifers and confining units within these systems were identified and their extents delineated by merging and analyzing hydrostratigraphic framework models developed by other investigators from existing geologic information. Maps of the hydraulic-head distributions in the major aquifer systems were developed from a detailed evaluation and assessment of available water-level measurements. The maps, in conjunction with regional and detailed hydrogeologic cross sections, were used to conceptualize flow within and between aquifer systems. Aquifers and confining units are mapped and discussed in general terms as being one of two aquifer systems: alluvial-volcanic or carbonate. The carbonate aquifers are subdivided and mapped as independent regional and local aquifers, based on the continuity of their component rock. Groundwater flow directions, approximated from potentiometric contours, are indicated on the maps and sections and discussed for the alluvial-volcanic and regional carbonate aquifers. Flow in the alluvial-volcanic aquifer generally is constrained by the bounding volcanic confining unit, whereas flow in the regional carbonate aquifer is constrained by the siliceous confining unit. Hydraulic heads in the alluvial-volcanic aquifer typically range from 2,400 to 2,530 feet and commonly are elevated about 20-100 feet above heads in the underlying regional carbonate aquifer. Flow directions in the alluvial-volcanic aquifer are variable and are controlled by localized areas where small amounts of water can drain into the regional carbonate aquifer. These areas commonly are controlled by geologic structures, such as Yucca fault. Flow in the regional carbonate aquifer generally drains to the center of the basin; from there flow is to the south-southeast out of the study area toward downgradient discharge areas. Southward flow in the regional carbonate aquifer occurs in a prominent potentiometric trough that results from a faulted zone of enhanced permeability centered about Yucca fault. Vertical hydraulic gradients between the aquifer systems are downward throughout the study area; however, flow from the alluvial-volcanic aquifer into the underlying carbonate aquifer is believed to be minor because of the intervening confining unit. Transient water levels were identified and analyzed to understand hydraulic responses to stresses in Yucca Flat. Transient responses have only a minimal influence on the general predevelopment flow directions in the aquifers. The two primary anthropogenic stresses on the groundwater system since about 1950 are nuclear testing and pumping. Most of the potentiometric response in the aquifers to pumping or past nuclear testing is interim and localized. Persistent, long-lasting changes in hydraulic head caused by nuclear testing occur only in confining units where groundwater fluxes are negligible. A third stress on the groundwater system is natural recharge, which can cause minor, short- and long-term changes in water levels. Long-term hydrographs affected by natural recharge, grouped by similar trend, cluster in distinct areas of Yucca Flat and are controlled primarily by spatial differences in local recharge patterns.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125196","collaboration":"Prepared in cooperation with the U.S. Department of Energy Office of Environmental Management, National Nuclear Security Administration, Nevada Site Office, under Interagency Agreement DE-NA0001654","usgsCitation":"Fenelon, J.M., Sweetkind, D., Elliott, P.E., and Laczniak, R.J., 2012, Conceptualization of the predevelopment groundwater flow system and transient water-level responses in Yucca Flat, Nevada National Security Site, Nevada: U.S. Geological Survey Scientific Investigations Report 2012-5196, SIR 2012-5196: vi, 62; Report Package; 4 Plates: 42 x 36.01 inches and 24 x 40 inches; Appendixes 1-3, https://doi.org/10.3133/sir20125196.","productDescription":"SIR 2012-5196: vi, 62; Report Package; 4 Plates: 42 x 36.01 inches and 24 x 40 inches; Appendixes 1-3","numberOfPages":"72","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":262245,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5196.jpg"},{"id":262231,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5196/","linkFileType":{"id":5,"text":"html"}},{"id":262232,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262233,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate01.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262234,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate02.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262235,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate03.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262236,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate04.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Universal Transverse Mercator Projection, Zone 11","datum":"North Amercian Datum of 1983","country":"United States","state":"Nevada","otherGeospatial":"Yucca Flat","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.83333333333333,36.5 ], [ -116.83333333333333,37.5 ], [ -115.5,37.5 ], [ -115.5,36.5 ], [ -116.83333333333333,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d5171e4b002b5ec71a821","contributors":{"authors":[{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":467820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Peggy E. 0000-0002-7264-664X pelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-7264-664X","contributorId":3805,"corporation":false,"usgs":true,"family":"Elliott","given":"Peggy","email":"pelliott@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":467819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467821,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040166,"text":"sir20125134 - 2012 - Water quality, hydrology, and simulated response to changes in phosphorus loading of Mercer Lake, Iron County, Wisconsin, with special emphasis on the effects of wastewater discharges","interactions":[],"lastModifiedDate":"2018-02-06T12:26:32","indexId":"sir20125134","displayToPublicDate":"2012-10-03T00:00:00","publicationYear":"2012","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":"2012-5134","title":"Water quality, hydrology, and simulated response to changes in phosphorus loading of Mercer Lake, Iron County, Wisconsin, with special emphasis on the effects of wastewater discharges","docAbstract":"Mercer Lake is a relatively shallow drainage lake in north-central Wisconsin. The area near the lake has gone through many changes over the past century, including urbanization and industrial development. To try to improve the water quality of the lake, actions have been taken, such as removal of the lumber mill and diversion of all effluent from the sewage treatment plant away from the lake; however, it is uncertain how these actions have affected water quality. Mercer Lake area residents and authorities would like to continue to try to improve the water quality of the lake; however, they would like to place their efforts in the actions that will have the most beneficial effects. To provide a better understanding of the factors affecting the water quality of Mercer Lake, a detailed study of the lake and its watershed was conducted by the U.S. Geological Survey in collaboration with the Mercer Lake Association. The purposes of the study were to describe the water quality of the lake and the composition of its sediments; quantify the sources of water and phosphorus loading to the lake, including sources associated with wastewater discharges; and evaluate the effects of past and future changes in phosphorus inputs on the water quality of the lake using eutrophication models (models that simulate changes in phosphorus and algae concentrations and water clarity in the lake). Based on analyses of sediment cores and monitoring data collected from the lake, the water quality of Mercer Lake appears to have degraded as a result of the activities in its watershed over the past 100 years. The water quality appears to have improved, however, since a sewage treatment plant was constructed in 1965 and its effluent was routed away from the lake in 1995. Since 2000, when a more consistent monitoring program began, the water quality of the lake appears to have changed very little. During the two monitoring years (MY) 2008-09, the average summer near-surface concentration of total phosphorus was 0.023 mg/L, indicating the lake is borderline mesotrophic-eutrophic, or has moderate to high concentrations of phosphorus, whereas the average summer chlorophyll a concentration was 3.3 mg/L and water clarity, as measured with a Secchi depth, was 10.4 ft, both indicating mesotrophic conditions or that the lake has a moderate amount of algae and water clarity. Although actions have been taken to eliminate the wastewater discharges, the bottom sediment still has slightly elevated concentrations of several pollutants from wastewater discharges, lumber operations, and roadway drainage, and a few naturally occurring metals (such as iron). None of the concentrations, however, were high enough above the defined thresholds to be of concern. Based on nitrogen to phosphorus ratios, the productivity (algal growth) in Mercer Lake should typically be limited by phosphorus; therefore, understanding the phosphorus input to the lake is important when management efforts to improve or prevent degradation of the lake water quality are considered. Total inputs of phosphorus to Mercer Lake were directly estimated for MY 2008-09 at about 340 lb/yr and for a recent year with more typical hydrology at about 475 lb/yr. During these years, the largest sources of phosphorus were from Little Turtle Inlet, which contributed about 45 percent, and the drainage area near the lake containing the adjacent urban and residential developments, which contributed about 24 percent. Prior to 1965, when there was no sewage treatment plant and septic systems and other untreated systems contributed nutrients to the watershed, phosphorus loadings were estimated to be about 71 percent higher than during around 2009. In 1965, a sewage treatment plant was built, but its effluent was released in the downstream end of the lake. Depending on various assumptions on how much effluent was retained in the lake, phosphorus inputs from wastewater may have ranged from 0 to 342 lb. Future highway and stormwater improvements have been identified in the Mercer Infrastructure Improvement Project, and if they are done with the proposed best management practices, then phosphorus inputs to the lake may decrease by about 40 lb. Eutrophication models [Canfield and Bachman model (1981) and Carlson Trophic State Index equations (1977)] were used to predict how the water quality of Mercer Lake should respond to changes in phosphorus loading. A relatively linear response was found between phosphorus loading and phosphorus and chlorophyll a concentrations in the lake, with changes in phosphorus concentrations being slightly less (about 80 percent) and changes in chlorophyll a concentrations being slightly more (about 120 percent) than the changes in phosphorus loadings to the lake. Water clarity, indicated by Secchi depths, responded more to decreases in phosphorus loading than to increases in loading. Results from the eutrophication models indicated that the lake should have been negatively affected by the wastewater discharges. Prior to 1965, when there was no sewage treatment plant effluent and inputs from the septic systems and other untreated systems were thought to be high, the lake should have been eutrophic; near the surface, average phosphorus concentrations were almost 0.035 mg/L, chlorophyll a concentrations were about 7 &mu;g/L, and Secchi depths were about 6 ft, which agreed with the shallower Secchi depths during this time estimated from the sediment-core analysis. The models indicated that between 1965 and 1995, when the lake retained some of the effluent from the new sewage treatment plant, water quality should have been between the conditions estimated prior to 1965 and what was expected during typical hydrologic conditions around MY 2008-09. The models also indicated that if the future Mercer Infrastructure Improvement Project is conducted with the best management practices as proposed, the water quality in the lake could improve slightly from that measured during 2006-10. Because of the small amount of phosphorus that is presently input into Mercer Lake any additional phosphorus added to the lake could degrade water quality; therefore, management actions can usefully focus on minimizing future phosphorus inputs. Phosphorus released from the sediments of a degraded lake often delays its response to decreases in external phosphorus loading, especially in shallow, frequently mixed systems. Mercer Lake, however, remains stratified throughout most of the summer, and phosphorus released from the sediments represents only about 6 percent, or a small fraction, of the total phosphorus load to the lake. Therefore, the phosphorus trapped in the sediments should minimally affect the long-term water quality of the lake and should not delay the response in its productivity to future changes in nutrient loading from its watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125134","collaboration":"Prepared in cooperation with the Mercer School District","usgsCitation":"Robertson, D.M., Garn, H.S., Rose, W., Juckem, P.F., and Reneau, P.C., 2012, Water quality, hydrology, and simulated response to changes in phosphorus loading of Mercer Lake, Iron County, Wisconsin, with special emphasis on the effects of wastewater discharges: U.S. Geological Survey Scientific Investigations Report 2012-5134, viii, 58 p., https://doi.org/10.3133/sir20125134.","productDescription":"viii, 58 p.","numberOfPages":"70","onlineOnly":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":262244,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5134.png"},{"id":262227,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5134/","linkFileType":{"id":5,"text":"html"}},{"id":262228,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5134/pdf/MercerLake_SIR20125134.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"40000","country":"United States","state":"Wisconsin","county":"Iron","otherGeospatial":"Mercer Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.11666666666666,46.15 ], [ -90.11666666666666,46.25 ], [ -89.96666666666667,46.25 ], [ -89.96666666666667,46.15 ], [ -90.11666666666666,46.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d51d2e4b002b5ec71a842","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garn, Herbert S. hsgarn@usgs.gov","contributorId":2592,"corporation":false,"usgs":true,"family":"Garn","given":"Herbert","email":"hsgarn@usgs.gov","middleInitial":"S.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, William J. wjrose@usgs.gov","contributorId":2182,"corporation":false,"usgs":true,"family":"Rose","given":"William J.","email":"wjrose@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467815,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040125,"text":"sir20125144 - 2012 - Preliminary assessment of water chemistry related to groundwater flooding in Wawarsing, New York, 2009-11","interactions":[],"lastModifiedDate":"2015-02-12T15:38:34","indexId":"sir20125144","displayToPublicDate":"2012-10-02T00:00:00","publicationYear":"2012","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":"2012-5144","title":"Preliminary assessment of water chemistry related to groundwater flooding in Wawarsing, New York, 2009-11","docAbstract":"<p>Water-quality samples collected in an area prone to groundwater flooding in Wawarsing, New York, were analyzed and assessed to better understand the hydrologic system and to aid in the assessment of contributing water sources. Above average rainfall over the past decade, and the presence of a pressurized water tunnel that passes about 700 feet beneath Wawarsing, could both contribute to groundwater flooding. Water samples were collected from surface-water bodies, springs, and wells and analyzed for major and trace inorganic constituents, dissolved gases, age tracers, and stable isotopes. Distinct differences in chemistry exist between tunnel water and groundwater in unconsolidated deposits and in bedrock, and among groundwater samples collected from some bedrock wells during high head pressure and low head pressure of the Rondout-West Branch Tunnel. Samples from bedrock wells generally had relatively higher concentrations of sulfate (SO<sub>4</sub><sup>2-</sup>), strontium (Sr), barium (Ba), and lower concentrations of calcium (Ca) and bicarbonate (HCO<sub>3</sub><sup>-</sup>), as compared to unconsolidated wells. Differences in stable-isotope ratios among oxygen-18 to oxygen-16 (&delta;<sup>18</sup>O), hydrogen-2 to hydrogen-1 (&delta;<sup>2</sup>H), sulfur-34 to sulfur-32(&delta;<sup>34</sup>S) of SO<sub>4</sub><sup>2-</sup>, Sr-87 to Sr-86 (<sup>87</sup>Sr/<sup>86</sup>Sr), and C-13 to C-12 (&delta;<sup>13</sup>C) of dissolved inorganic carbon (DIC) indicate a potential for distinguishing water in the Delaware-West Branch Tunnel from native groundwater. For example, <sup>87</sup>Sr/<sup>86</sup>Sr ratios were more depleted in groundwater samples from most bedrock wells, as compared to samples from surface-water sources, springs, and wells screened in unconsolidated deposits in the study area. Age-tracer data provided useful information on pathways of the groundwater-flow system, but were limited by inherent problems with dissolved gases in bedrock wells. The sulfur hexafluoride (SF<sub>6</sub>) and (or) chlorofluorocarbons (CFCs) apparent recharge years of most water samples from wells screened in unconsolidated deposits and springs ranged from 2003 to 2010 (current) and indicate short flow paths from the point of groundwater recharge. All but three of the samples from bedrock wells had interference problems with dissolved gases, mainly caused by excess air from degassing of hydrogen sulfide and methane. The SF<sub>6</sub> and (or) CFC apparent recharge years of samples from three of the bedrock wells ranged from the 1940s to the early 2000s; the sample with the early 2000s recharge year was from a flowing artesian well that was chemically similar to water samples collected at the influent to the tunnel at Rondout Reservoir and the most hydraulically responsive to water tunnel pressure compared to other bedrock wells. Data described in this report can be used, together with hydrogeologic data, to improve the understanding of source waters and groundwater-flow patterns and pathways, and to help assess the mixing of different source waters in water samples. Differences in stable isotope ratios, major and trace constituent concentrations, saturation indexes, tritium concentrations, and apparent groundwater ages will be used to estimate the proportion of water that originates from Rondout-West Branch Tunnel leakage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125144","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Brown, C., Eckhardt, D.A., Stumm, F., and Chu, A., 2012, Preliminary assessment of water chemistry related to groundwater flooding in Wawarsing, New York, 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5144, x, 35 p., https://doi.org/10.3133/sir20125144.","productDescription":"x, 35 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":262196,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5144.gif"},{"id":262195,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5144/pdf/sir2012-5144.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262194,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5144/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Lambert Conformal Conic","datum":"North American Datum of 1983","country":"United States","state":"New York","city":"Wawarsing","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.25,41 ], [ -76.25,42 ], [ -73,42 ], [ -73,41 ], [ -76.25,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506c01e1e4b05073318eead0","contributors":{"authors":[{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":467755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eckhardt, David A. daeckhar@usgs.gov","contributorId":1079,"corporation":false,"usgs":true,"family":"Eckhardt","given":"David","email":"daeckhar@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467754,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040155,"text":"sir20125151 - 2012 - Spatial and temporal trends in runoff at long-term streamgages within and near the Chesapeake Bay Watershed","interactions":[],"lastModifiedDate":"2021-07-06T23:08:07.748441","indexId":"sir20125151","displayToPublicDate":"2012-10-02T00:00:00","publicationYear":"2012","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":"2012-5151","title":"Spatial and temporal trends in runoff at long-term streamgages within and near the Chesapeake Bay Watershed","docAbstract":"Long-term streamflow data within the Chesapeake Bay watershed and surrounding area were analyzed in an attempt to identify trends in streamflow. Data from 30 streamgages near and within the Chesapeake Bay watershed were selected from 1930 through 2010 for analysis. Streamflow data were converted to runoff and trend slopes in percent change per decade were calculated. Trend slopes for three runoff statistics (the 7-day minimum, the mean, and the 1-day maximum) were analyzed annually and seasonally. The slopes also were analyzed both spatially and temporally. The spatial results indicated that trend slopes in the northern half of the watershed were generally greater than those in the southern half. The temporal analysis was done by splitting the 80-year flow record into two subsets; records for 28 streamgages were analyzed for 1930 through 1969 and records for 30 streamgages were analyzed for 1970 through 2010. The mean of the data for all sites for each year were plotted so that the following datasets were analyzed: the 7-day minimum runoff for the north, the 7-day minimum runoff for the south, the mean runoff for the north, the mean runoff for the south, the 1-day maximum runoff for the north, and the 1-day maximum runoff for the south. Results indicated that the period 1930 through 1969 was statistically different from the period 1970 through 2010. For the 7-day minimum runoff and the mean runoff, the latter period had significantly higher streamflow than did the earlier period, although within those two periods no significant linear trends were identified. For the 1-day maximum runoff, no step trend or linear trend could be shown to be statistically significant for the north, although the south showed a mixture of an upward step trend accompanied by linear downtrends within the periods. In no case was a change identified that indicated an increasing rate of change over time, and no general pattern was identified of hydrologic conditions becoming \"more extreme\" over time.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125151","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality, Office of Surface Water Investigations","usgsCitation":"Rice, K.C., and Hirsch, R.M., 2012, Spatial and temporal trends in runoff at long-term streamgages within and near the Chesapeake Bay Watershed: U.S. Geological Survey Scientific Investigations Report 2012-5151, vi, 56 p., https://doi.org/10.3133/sir20125151.","productDescription":"vi, 56 p.","numberOfPages":"66","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science 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rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":467786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048660,"text":"70048660 - 2012 - Modelling ecological flow regime: an example from the Tennessee and Cumberland River basins","interactions":[],"lastModifiedDate":"2014-02-11T15:02:31","indexId":"70048660","displayToPublicDate":"2012-10-01T14:56:33","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modelling ecological flow regime: an example from the Tennessee and Cumberland River basins","docAbstract":"Predictive equations were developed for 19 ecologically relevant streamflow characteristics within five major groups of flow variables (magnitude, ratio, frequency, variability, and date) for use in the Tennessee and Cumberland River basins using stepbackward regression. Basin characteristics explain 50% or more of the variation for 12 of the 19 equations. Independent variables identified through stepbackward regression were statistically significant in 78 of 304 cases (α > 0.0001) and represent four major groups: climate, physical landscape features, regional indicators, and land use. Of these groups, the regional and climate variables were the most influential for determining hydrologic response. Daily temperature range, geologic factor, and rock depth were major factors explaining the variability in 17, 15, and 13 equations, respectively. The equations and independent datasets were used to explore the broad relation between basin properties and streamflow and the implication of streamflow to the study of ecological flow requirements. Key results include a high degree of hydrologic variability among least disturbed Blue Ridge streams, similar hydrologic behaviour for watersheds with widely varying degrees of forest cover, and distinct hydrologic profiles for streams in different geographic regions. Published in 2011. This article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecohydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/eco.246","usgsCitation":"Knight, R., Gain, W.S., and Wolfe, W., 2012, Modelling ecological flow regime: an example from the Tennessee and Cumberland River basins: Ecohydrology, v. 5, no. 5, p. 613-627, https://doi.org/10.1002/eco.246.","productDescription":"15 p.","startPage":"613","endPage":"627","ipdsId":"IP-023745","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":282283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282282,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.246"}],"country":"United States","state":"Alabama;Georgia;Kentucky;Mississippi;North Carolina;Tennessee;Virginia","otherGeospatial":"Tennessee And Cumberland River Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.31,34.44 ], [ -90.31,37.06 ], [ -80.86,37.06 ], [ -80.86,34.44 ], [ -90.31,34.44 ] ] ] } } ] }","volume":"5","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-07-08","publicationStatus":"PW","scienceBaseUri":"53cd67f3e4b0b29085101b79","contributors":{"authors":[{"text":"Knight, Rodney R. rrknight@usgs.gov","contributorId":2272,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney R.","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gain, W. Scott wsgain@usgs.gov","contributorId":346,"corporation":false,"usgs":true,"family":"Gain","given":"W.","email":"wsgain@usgs.gov","middleInitial":"Scott","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":485321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255732,"text":"70255732 - 2012 - Role of remote sensing for land-use and land-cover change modeling","interactions":[],"lastModifiedDate":"2024-07-03T13:28:46.614651","indexId":"70255732","displayToPublicDate":"2012-09-30T08:16:40","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Role of remote sensing for land-use and land-cover change modeling","docAbstract":"<p><span>As the impacts of land-use and land-cover (LULC) change on carbon dynamics, climate change, hydrology, and biodiversity have been recognized, modeling of this transformational force has become increasingly important. Given the wide variety of applications that rely on the availability of LULC projections, modeling approaches have originated from a variety of disciplines, including geography, landscape ecology, economics, biology, and others. Initial modeling was often isolated within each discipline, but multidisciplinary modeling frameworks were developed as LULC modelers began to integrate the socioeconomic and biophysical components of LULC change. The empirical and theoretical basis for this work falls within land-use science, and this ‡eld documents both land-use and land-cover change, explains the coupled human-environment dynamics that produce the changes, and provides tools for producing spatially explicit LULC models (Mertens and Lambin, 1999; Rindfuss et al., 2004).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of land use and land cover","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","doi":"10.1201/b11964-21","usgsCitation":"Sohl, T., and Sleeter, B., 2012, Role of remote sensing for land-use and land-cover change modeling, chap. 15 <i>of</i> Remote sensing of land use and land cover, p. 225-242, https://doi.org/10.1201/b11964-21.","productDescription":"18 p.","startPage":"225","endPage":"242","ipdsId":"IP-025704","costCenters":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"links":[{"id":430756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":339876,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":905497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":339877,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin M.","affiliations":[],"preferred":true,"id":905498,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040074,"text":"70040074 - 2012 - Inferring local competition intensity from patch size distributions: a test using biological soil crusts","interactions":[],"lastModifiedDate":"2012-11-02T16:23:25","indexId":"70040074","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Inferring local competition intensity from patch size distributions: a test using biological soil crusts","docAbstract":"Dryland vegetation is inherently patchy. This patchiness goes on to impact ecology, hydrology, and biogeochemistry. Recently, researchers have proposed that dryland vegetation patch sizes follow a power law which is due to local plant facilitation. It is unknown what patch size distribution prevails when competition predominates over facilitation, or if such a pattern could be used to detect competition. We investigated this question in an alternative vegetation type, mosses and lichens of biological soil crusts, which exhibit a smaller scale patch-interpatch configuration. This micro-vegetation is characterized by competition for space. We proposed that multiplicative effects of genetics, environment and competition should result in a log-normal patch size distribution. When testing the prevalence of log-normal versus power law patch size distributions, we found that the log-normal was the better distribution in 53% of cases and a reasonable fit in 83%. In contrast, the power law was better in 39% of cases, and in 8% of instances both distributions fit equally well. We further hypothesized that the log-normal distribution parameters would be predictably influenced by competition strength. There was qualitative agreement between one of the distribution's parameters (&mu;) and a novel intransitive (lacking a 'best' competitor) competition index, suggesting that as intransitivity increases, patch sizes decrease. The correlation of &mu; with other competition indicators based on spatial segregation of species (the C-score) depended on aridity. In less arid sites, &mu; was negatively correlated with the C-score (suggesting smaller patches under stronger competition), while positive correlations (suggesting larger patches under stronger competition) were observed at more arid sites. We propose that this is due to an increasing prevalence of competition transitivity as aridity increases. These findings broaden the emerging theory surrounding dryland patch size distributions and, with refinement, may help us infer cryptic ecological processes from easily observed spatial patterns in the field.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oikos","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","usgsCitation":"Bowker, M.A., and Maestre, F.T., 2012, Inferring local competition intensity from patch size distributions: a test using biological soil crusts: Oikos, v. 121, no. 11, p. 1914-1922.","productDescription":"9 p.","startPage":"1914","endPage":"1922","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":262158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662511e4b053bff18e1bfb","contributors":{"authors":[{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maestre, Fernando T.","contributorId":62450,"corporation":false,"usgs":true,"family":"Maestre","given":"Fernando","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040106,"text":"70040106 - 2012 - Changes in sources and storage in a karst aquifer during a transition from drought to wet conditions","interactions":[],"lastModifiedDate":"2012-10-09T17:16:16","indexId":"70040106","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Changes in sources and storage in a karst aquifer during a transition from drought to wet conditions","docAbstract":"Understanding the sources and processes that control groundwater compositions and the timing and magnitude of groundwater vulnerability to potential surface-water contamination under varying meteorologic conditions is critical to informing groundwater protection policies and practices. This is especially true in karst terrains, where infiltrating surface water can rapidly affect groundwater quality. We analyzed the evolution of groundwater compositions (major ions and Sr isotopes) during the transition from extreme drought to wetconditions, and used inverse geochemical modeling (PHREEQC) to constrain controls on groundwater compositions during this evolution. Spring water and groundwater from two wells dominantly receiving diffuse and conduit flow (termed diffuse site and conduit site, respectively) in the Barton Springs segment of the Edwards aquifer (central Texas, USA) and surface water from losing streams that recharge the aquifer were sampled every 3&ndash;4 weeks during November 2008&ndash;March 2010. During this period, water compositions at the spring and conduit sites changed rapidly but there was no change at the diffuse site, illustrating the dual nature (i.e., diffuse vs. conduit) of flow in this karst system. Geochemical modeling demonstrated that, within a month of the onset of wetconditions, the majority of spring water and groundwater at the conduit site was composed of surface water, providing quantitative information on the timing and magnitude of the vulnerability of groundwater to potential surface-water contamination. The temporal pattern of increasing spring discharge and changing pattern of covariation between spring discharge and surface-water (steam) recharge indicates that that there were two modes of aquifer response&mdash;one with a small amount of storage and a second that accommodates more storage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2012.08.030","usgsCitation":"Wong, C., Mahler, B., Musgrove, M., and Banner, J., 2012, Changes in sources and storage in a karst aquifer during a transition from drought to wet conditions: Journal of Hydrology, v. 468-469, p. 159-172, https://doi.org/10.1016/j.jhydrol.2012.08.030.","productDescription":"14 p.","startPage":"159","endPage":"172","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":262168,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262165,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2012.08.030"}],"country":"United States","state":"Texas","volume":"468-469","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5066250ce4b053bff18e1be3","contributors":{"authors":[{"text":"Wong, C.I.","contributorId":98574,"corporation":false,"usgs":true,"family":"Wong","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":467729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, B.J.","contributorId":36888,"corporation":false,"usgs":true,"family":"Mahler","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":467726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Musgrove, M.","contributorId":78933,"corporation":false,"usgs":true,"family":"Musgrove","given":"M.","email":"","affiliations":[],"preferred":false,"id":467727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banner, J.L.","contributorId":95683,"corporation":false,"usgs":true,"family":"Banner","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":467728,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040100,"text":"70040100 - 2012 - Optimal egg size in a suboptimal environment: reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) in central Arizona, USA","interactions":[],"lastModifiedDate":"2012-09-28T17:16:18","indexId":"70040100","displayToPublicDate":"2012-09-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":751,"text":"Amphibia-Reptilia","active":true,"publicationSubtype":{"id":10}},"title":"Optimal egg size in a suboptimal environment: reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) in central Arizona, USA","docAbstract":"We studied the reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) at Montezuma Well, a chemically-challenging natural wetland in central Arizona, USA. Females matured between 115.5 and 125 mm carapace length (CL) and 36-54% produced eggs each year. Eggs were detected in X-radiographs from 23 April-28 September (2007-2008) and the highest proportion (56%) of adult females with eggs occurred in June and July. Clutch frequency was rarely more than once per year. Clutch size was weakly correlated with body size, ranged from 1-8 (mean = 4.96) and did not differ significantly between years. X-ray egg width ranged from 17.8-21.7 mm (mean 19.4 mm) and varied more among clutches than within. Mean X-ray egg width of a clutch did not vary significantly with CL of females, although X-ray pelvic aperture width increased with CL. We observed no evidence of a morphological constraint on egg width. In addition, greater variation in clutch size, relative to egg width, suggests that egg size is optimized in this hydrologically stable but chemically-challenging habitat. We suggest that the diversity of architectures exhibited by the turtle pelvis, and their associated lack of correspondence to taxonomic or behavioral groupings, explains some of the variation observed in egg size of turtles.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Amphibia-Reptilia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Brill","publisherLocation":"Leiden, The Netherlands","doi":"10.1163/156853812X634035","usgsCitation":"Lovich, J.E., Madrak, S.V., Drost, C.A., Monatesti, A.J., Casper, D., and Znari, M., 2012, Optimal egg size in a suboptimal environment: reproductive ecology of female Sonora mud turtles (Kinosternon sonoriense) in central Arizona, USA: Amphibia-Reptilia, v. 33, p. 161-170, https://doi.org/10.1163/156853812X634035.","productDescription":"10 p.","startPage":"161","endPage":"170","numberOfPages":"10","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474341,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/156853812x634035","text":"Publisher Index Page"},{"id":262153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262147,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1163/156853812X634035"}],"country":"United States","state":"Arizona","volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662512e4b053bff18e1c01","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":467709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madrak, Sheila V.","contributorId":7403,"corporation":false,"usgs":true,"family":"Madrak","given":"Sheila","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":467711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":467710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monatesti, Anthony J.","contributorId":103541,"corporation":false,"usgs":true,"family":"Monatesti","given":"Anthony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casper, Dennis","contributorId":65346,"corporation":false,"usgs":true,"family":"Casper","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":467713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Znari, Mohammed","contributorId":42472,"corporation":false,"usgs":true,"family":"Znari","given":"Mohammed","email":"","affiliations":[],"preferred":false,"id":467712,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040067,"text":"ofr20121201 - 2012 - Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"ofr20121201","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","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":"2012-1201","title":"Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida","docAbstract":"This study was initiated in cooperation with the St. Johns River Water Management District (SJRWMD) to investigate groundwater and surface-water interaction in designated sentinel lakes in central Florida. Sentinel lakes are a SJRWMD established set of priority water bodies (lakes) for which minimum flows and levels (MFLs) are determined. Understanding both the structure and lithology beneath these lakes can ultimately lead to a better understanding of the MFLs and why water levels fluctuate in certain lakes more so than in other lakes. These sentinel lakes have become important water bodies to use as water-fluctuation indicators in the SJRWMD Minimum Flows and Levels program and will be used to define long-term hydrologic and ecologic performance measures. Geologic control on lake hydrology remains poorly understood in this study area. Therefore, the U.S. Geological Survey investigated 16 of the 21 water bodies on the SJRWMD priority list. Geologic information was obtained by the tandem use of high-resolution seismic profiling (HRSP) and direct-current (DC) resistivity profiling to isolate both the geologic framework (structure) and composition (lithology). Previous HRSP surveys from various lakes in the study area have been successful in identifying karst features, such as subsidence sinkholes. However, by using this method only, it is difficult to image highly irregular or chaotic surfaces, such as collapse sinkholes. Resistivity profiling was used to complement HRSP by detecting porosity change within fractured or collapsed structures and increase the ability to fully characterize the subsurface. Lake Saunders (Lake County) is an example of a lake composed of a series of north-south-trending sinkholes that have joined to form one lake body. HRSP shows surface depressions and deformation in the substrate. Resistivity data likewise show areas in the southern part of the lake where resistivity shifts abruptly from approximately 400 ohm meters (ohm-m) along the edges to approximately 12 ohm-m in the center. These well-defined areas may indicate a \"ravel\" zone of increased porosity or clay content. Within Lake Helen (Volusia County), a parallel set of seismic reflectors within a host of chaotic reflectors may represent fill within a large sinkhole. The feature extends to more than 50 meters (m) deep and contains very steep pinnacles within the center. Seismic data in Lake Helen are supported by high resistivity values from adjacent continuous resistivity profiles that show possible center collapse within the lake and infilling of sandy material. When used together, HRSP and DC resistivity techniques provide a composite image of structure and lithology to detect potential conduits for fluid flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121201","collaboration":"Prepared in cooperation with the St. Johns River Water Management District","usgsCitation":"Reich, C., Flocks, J., and Davis, J., 2012, Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida: U.S. Geological Survey Open-File Report 2012-1201, viii; 58 p.; PDF Appendix, https://doi.org/10.3133/ofr20121201.","productDescription":"viii; 58 p.; PDF Appendix","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262119,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1201.gif"},{"id":262109,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1201/pdf/Reich_OFR2012_1201_appendix-sm.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262107,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1201/pdf/Reich_OFR2012_1201-sm.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262108,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1201/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","county":"Lake County;Marion County;Orange County;Seminole County;Sumter County;Volusia County","otherGeospatial":"Cherry Lake;Lake Louisa;Johns Lake;Lake Avalon;Lake Hiawassee;Crooked Lake;Prevatt Lake;Lake Saunders;Sylvan Lake;Trout Lake;Big Lake;Lake Colby;Lake Helen","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,28.666666666666668 ], [ -82,29.25 ], [ -81,29.25 ], [ -81,28.666666666666668 ], [ -82,28.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662510e4b053bff18e1bf8","contributors":{"authors":[{"text":"Reich, Christopher","contributorId":12942,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":467665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":467667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jeffrey","contributorId":20204,"corporation":false,"usgs":true,"family":"Davis","given":"Jeffrey","affiliations":[],"preferred":false,"id":467666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040046,"text":"sir20125142 - 2012 - Estimation of baseline daily mean streamflows for ungaged locations on Pennsylvania streams, water years 1960-2008","interactions":[],"lastModifiedDate":"2016-08-10T21:28:25","indexId":"sir20125142","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","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":"2012-5142","title":"Estimation of baseline daily mean streamflows for ungaged locations on Pennsylvania streams, water years 1960-2008","docAbstract":"<p>Water-resource managers use daily mean streamflows to generate streamflow statistics and analyze streamflow conditions. An in-depth evaluation of flow regimes to promote instream ecological health often requires streamflow information obtainable only from a time series hydrograph. Historically, it has been difficult to estimate daily mean streamflow for an ungaged location. The U.S. Geological Survey (USGS), in cooperation with the Pennsylvania Department of Environmental Protection, Susquehanna River Basin Commission, and The Nature Conservancy, has developed the&nbsp;<strong>Ba</strong>seline&nbsp;<strong>S</strong>treamflow&nbsp;<strong>E</strong>stimator (BaSE) to estimate baseline streamflow at a daily time scale for ungaged streams in Pennsylvania using data collected during water years 1960&ndash;2008. Baseline streamflow is minimally altered by regulation, diversion, or mining, and other anthropogenic activities. Daily mean streamflow is estimated in BaSE using a methodology that equates streamflow as a percentile from a flow duration curve for a particular day at an ungaged location with streamflow as a percentile from the flow duration curve for the same day at a reference streamgage that is considered to be hydrologically similar to the ungaged location. An appropriate reference streamgage is selected using map correlation, in which variogram models are developed that correlate streamflow at one streamgage with streamflows at all other streamgages. The percentiles from a flow duration curve for the ungaged location are converted to streamflow through the use of regression equations. Regression equations used to predict 17 flow-duration exceedance probabilities were developed for Pennsylvania using geographic information system-derived basin characteristics. The standard error of prediction for the regression equations ranged from 11&nbsp;percent to 92&nbsp;percent with the mean of 31&nbsp;percent.</p>\n<p>The map correlation method for estimating streamflow was tested at locations within two pilot basins, the Upper Delaware River Basin and the Lower Susquehanna River Basin, before being applied statewide. Reference streamgages within the pilot basins were used as ungaged locations for analyzing the map correlation method. Correlation using Spearman&rsquo;s rho and centroid distance performed as well as, or better than, the method using the closest streamgage as a reference streamgage. Map correlation using the correlation metrics identified in the pilot basins was applied to 156 streamgages in and near&nbsp;Pennsylvania.</p>\n<p>BaSE uses the map correlation method and flow-duration exceedance probability regression equations to estimate baseline daily mean streamflow for an ungaged location. The output from BaSE is a Microsoft Excel&reg; report file that summarizes the reference streamgage and ungaged location information, including basin characteristics, percent difference in basin characteristics between the two locations, any warning associated with the basin characteristics, mean and median streamflow for the ungaged location, and a daily hydrograph of streamflow for water years 1960&ndash;2008 for the ungaged location. The daily mean streamflow for the ungaged location can be exported as a text file to be used as input into other statistical software packages. BaSE estimates daily mean streamflow for baseline conditions only, and any alterations to streamflow from regulation, large water use, or substantial mining are not reflected in the estimated&nbsp;streamflow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125142","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection, the Susquehanna River Basin Commission, and The Nature Conservancy","usgsCitation":"Stuckey, M.H., Koerkle, E.H., and Ulrich, J.E., 2012, Estimation of baseline daily mean streamflows for ungaged locations on Pennsylvania streams, water years 1960-2008 (First posted September 26, 2012; Revised and reposted August 11, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2012-5142, Report: viii, 56 p.; Appendix 5; Baseline Streamflow Estimator (v1.1), https://doi.org/10.3133/sir20125142.","productDescription":"Report: viii, 56 p.; Appendix 5; Baseline Streamflow Estimator (v1.1)","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1959-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":291958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125142.png"},{"id":262076,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5142/","linkFileType":{"id":5,"text":"html"}},{"id":262078,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5142/support/sir2012-5142-appendix5.pdf","text":"Appendix 5","size":"1.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 5"},{"id":291957,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5142/support/BaSE_v.1.1.zip","text":"Baseline Streamflow Estimator (v1.1)","size":"16.8 MB","linkFileType":{"id":6,"text":"zip"},"description":"Baseline Streamflow Estimator (v1.1)"},{"id":262077,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5142/support/sir2012-5142.pdf","text":"Report","size":"19.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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,{"id":70040050,"text":"ofr20111209 - 2012 - Data visualization, time-series analysis, and mass-balance modeling of hydrologic and water-quality data for the McTier Creek watershed, South Carolina, 2007-2009","interactions":[],"lastModifiedDate":"2016-12-08T14:49:32","indexId":"ofr20111209","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","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":"2011-1209","title":"Data visualization, time-series analysis, and mass-balance modeling of hydrologic and water-quality data for the McTier Creek watershed, South Carolina, 2007-2009","docAbstract":"The McTier Creek watershed is located in the headwaters of the Edisto River Basin, which is in the Coastal Plain region of South Carolina. The Edisto ecosystem has some of the highest recorded fish-tissue mercury concentrations in the United States. In an effort to advance the understanding of the fate and transport of mercury in stream ecosystems, the U.S. Geological Survey, as part of its National Water-Quality Assessment Program, initiated a field investigation of mercury in the McTier Creek watershed in 2006. The initial efforts of the investigation included the collection of extensive hydrologic and water-quality field data, along with the development of several hydrologic and water-quality models. This series of measured and modeled data forms the primary source of information for this investigation to assess the fate and transport of mercury within the McTier Creek watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111209","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency National Exposure Research Laboratory","usgsCitation":"Benedict, S., Conrads, P., Feaster, T., Journey, C.A., Golden, H., Knightes, C.D., Davis, G.M., and Bradley, P.M., 2012, Data visualization, time-series analysis, and mass-balance modeling of hydrologic and water-quality data for the McTier Creek watershed, South Carolina, 2007-2009: U.S. Geological Survey Open-File Report 2011-1209, vi, 21 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20111209.","productDescription":"vi, 21 p.; col. ill.; maps 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E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":467569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":467568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Gary M.","contributorId":12741,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":467567,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South 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,{"id":70040009,"text":"70040009 - 2012 - The influence of reservoirs, climate, land use and hydrologic conditions on loads and chemical quality of dissolved organic carbon in the Colorado River","interactions":[],"lastModifiedDate":"2017-01-03T15:38:14","indexId":"70040009","displayToPublicDate":"2012-09-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"The influence of reservoirs, climate, land use and hydrologic conditions on loads and chemical quality of dissolved organic carbon in the Colorado River","docAbstract":"Longitudinal patterns in dissolved organic carbon (DOC) loads and chemical quality were identified in the Colorado River from the headwaters in the Rocky Mountains to the United States-Mexico border from 1994 to 2011. Watershed- and reach-scale climate, land use, river discharge and hydrologic modification conditions that contribute to patterns in DOC were also identified. Principal components analysis (PCA) identified site-specific precipitation and reach-scale discharge as being correlated with sites in the upper basin, where there were increases in DOC load from the upstream to downstream direction. In the lower basin, where DOC load decreased from upstream to downstream, sites were correlated with site-specific temperature and reach-scale population, urban land use and hydrologic modification. In the reaches containing Lakes Powell and Mead, the two largest reservoirs in the United States, DOC quantity decreased, terrestrially derived aromatic DOC was degraded and/or autochthonous less aromatic DOC was produced. Taken together, these results suggest that longitudinal patterns in the relatively unregulated upper basin are influenced by watershed inputs of water and DOC, whereas DOC patterns in the lower basin are reflective of a balance between watershed contribution of water and DOC to the river and loss of water and DOC due to hydrologic modification and/or biogeochemical processes. These findings suggest that alteration of constituent fluxes in rivers that are highly regulated may overshadow watershed processes that would control fluxes in comparable unregulated rivers. Further, these results provide a foundation for detailed assessments of factors controlling the transport and chemical quality of DOC in the Colorado River.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012WR012312","usgsCitation":"Miller, M.P., 2012, The influence of reservoirs, climate, land use and hydrologic conditions on loads and chemical quality of dissolved organic carbon in the Colorado River: Water Resources Research, v. 48, no. 12, W00M02; 15 p., https://doi.org/10.1029/2012WR012312.","productDescription":"W00M02; 15 p.","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":474347,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012wr012312","text":"Publisher Index Page"},{"id":262038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico,Utah, Wyoming","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.5,31.5 ], [ -116.5,44 ], [ -104.5,44 ], [ -104.5,31.5 ], [ -116.5,31.5 ] ] ] } } ] }","volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-09-21","publicationStatus":"PW","scienceBaseUri":"50e5091ce4b0e8fec6cea21b","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039989,"text":"ofr20121136 - 2012 - Assessment of soil-gas contamination at building 310 underground storage tank area, Fort Gordon, Georgia, 2010-2011","interactions":[],"lastModifiedDate":"2018-08-15T14:58:38","indexId":"ofr20121136","displayToPublicDate":"2012-09-20T00:00:00","publicationYear":"2012","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":"2012-1136","title":"Assessment of soil-gas contamination at building 310 underground storage tank area, Fort Gordon, Georgia, 2010-2011","docAbstract":"Soil gas was assessed for contaminants in the building 310 underground storage tank area adjacent to the Dwight D. Eisenhower Army Medical Center at Ft. Gordon, Georgia, from October 2010 to September 2011. The assessment, which also included the detection of organic compounds in soil gas, provides environmental contamination data to Fort Gordon personnel pursuant to requirements of the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process. The study was conducted by the U.S. Geological Survey, in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon. Soil-gas samplers were deployed below land surface at 37 locations in the building 310 underground storage tank area. Soil-gas samplers were deployed in a grid pattern near the storage tank area as well as downslope of the tank area in the direction of groundwater flow toward an unnamed tributary to Butler Creek. Total petroleum hydrocarbons were detected in 35 of the 37 soil-gas samplers at levels above the method detection level, and the combined mass of benzene, toluene, ethylbenzene, and total xylenes were detected above their detection levels in 8 of the 37 samplers. In addition, the combined masses of undecane, tridecane, and pentadecane were detected at or above their method detection levels in 9 of the 37 samplers. Other volatile organic compounds detected above their respective method detection levels were chloroform, 1,2,4-trimethylbenzene, and perchloroethylene. In addition, naphthalene, 2-methyl naphthalene, and 1,2,4-trimethylbenzene were detected below the method detection levels, but above the nondetection level.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121136","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Guimaraes, W.B., Falls, W.F., Caldwell, A.W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2012, Assessment of soil-gas contamination at building 310 underground storage tank area, Fort Gordon, Georgia, 2010-2011: U.S. Geological Survey Open-File Report 2012-1136, iv; 29 p., https://doi.org/10.3133/ofr20121136.","productDescription":"iv; 29 p.","numberOfPages":"38","onlineOnly":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":261992,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1136.gif"},{"id":261990,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1136/","linkFileType":{"id":5,"text":"html"}},{"id":261991,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1136/pdf/ofr2012-1136.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","country":"United States","state":"Georgia","city":"Augusta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.41666666666667,32.25 ], [ -82.41666666666667,32.5 ], [ -82,32.5 ], [ -82,32.25 ], [ -82.41666666666667,32.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505c6c27e4b046a25ba343a4","contributors":{"authors":[{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":467394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. 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,{"id":70039971,"text":"fs20123119 - 2012 - Flood inundation map library, Fort Kent, Maine","interactions":[],"lastModifiedDate":"2012-09-19T17:16:46","indexId":"fs20123119","displayToPublicDate":"2012-09-19T00:00:00","publicationYear":"2012","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":"2012-3119","title":"Flood inundation map library, Fort Kent, Maine","docAbstract":"Severe flooding occurred in northern Maine from April 28 to May 1, 2008, and damage was extensive in the town of Fort Kent (Lombard, 2010). Aroostook County was declared a Federal disaster area on May 9, 2008. The extent of flooding on both the Fish and St. John Rivers during this event showed that the current Federal Emergency Management Agency (FEMA) Flood Insurance Study (FIS) and Flood Insurance Rate Map (FIRM) (Federal Emergency Management Agency, 1979) were out of date. The U.S. Geological Survey (USGS) conducted a study to develop a flood inundation map library showing the areas and depths for a range of flood stages from bankfull to the flood of record for Fort Kent to complement an updated FIS (Federal Emergency Management Agency, in press). Hydrologic analyses that support the maps include computer models with and without the levee and with various depths of backwater on the Fish River. This fact sheet describes the methods used to develop the maps and describes how the maps can be accessed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123119","usgsCitation":"Lombard, P., 2012, Flood inundation map library, Fort Kent, Maine: U.S. Geological Survey Fact Sheet 2012-3119, 2 p., https://doi.org/10.3133/fs20123119.","productDescription":"2 p.","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":261963,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3119.gif"},{"id":261960,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3119/","linkFileType":{"id":5,"text":"html"}},{"id":261961,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3119/pdf/FS2012-3119_lombard_508.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Maine","city":"Fort Kent","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.75,47 ], [ -68.75,47.4 ], [ -68.25,47.4 ], [ -68.25,47 ], [ -68.75,47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50dcea7ce4b0d55926e41aa6","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":23899,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","affiliations":[],"preferred":false,"id":467351,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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