{"pageNumber":"616","pageRowStart":"15375","pageSize":"25","recordCount":69036,"records":[{"id":70046341,"text":"cir1390 - 2013 - Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","interactions":[],"lastModifiedDate":"2013-07-01T15:40:19","indexId":"cir1390","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1390","title":"Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","docAbstract":"n late October 2012, Hurricane Sandy came ashore during a spring high tide on the New Jersey coastline, delivering hurricane-force winds, storm tides exceeding 19 feet, driving rain, and plummeting temperatures. Hurricane Sandy resulted in 72 direct fatalities in the mid-Atlantic and northeastern United States, and widespread and substantial physical, environmental, ecological, social, and economic impacts estimated at near $50 billion. Before the landfall of Hurricane Sandy, the USGS provided forecasts of potential coastal change; collected oblique aerial photography of pre-storm coastal morphology; deployed storm-surge sensors, rapid-deployment streamgages, wave sensors, and barometric pressure sensors; conducted Light Detection And Ranging (lidar) aerial topographic surveys of coastal areas; and issued a landslide alert for landslide prone areas. During the storm, Tidal Telemetry Networks provided real-time water-level information along the coast. Long-term network and rapid-deployment real-time streamgages and water-quality monitors reported on river levels and changes in water quality. Immediately after the storm, the USGS serviced real-time instrumentation, retrieved data from over 140 storm-surge sensors, and collected other essential environmental data, including more than 830 high-water marks mapping the extent and elevation of the storm surge. Post-storm lidar surveys documented storm impacts to coastal barriers informing response and recovery and providing a new baseline to assess vulnerability of the reconfigured coast. The USGS Hazard Data Distribution System served storm related information from many agencies on the Internet on a daily basis. This science plan was developed immediately following Hurricane Sandy to coordinate continuing USGS activities with other agencies and to guide continued data collection and analysis to ensure support for recovery and restoration efforts. The data, information, and tools that are produced by implementing this plan will: (1) further characterize impacts and changes, (2) guide mitigation and restoration of impacted communities and ecosystems, (3) inform a redevelopment strategy aimed at developing resilient coastal communities and ecosystems, (4) improve preparedness and responsiveness to the next hurricane or similar coastal disaster, and (5) enable improved hazard assessment, response, and recovery for future storms along the hurricane prone shoreline of the United States. The activities outlined in this plan are organized in five themes based on impact types and information needs. These USGS science themes are: Theme 1: Coastal topography and bathymetry. Theme 2: Impacts to coastal beaches and barriers. Theme 3: Impacts of storm surge and estuarine and bay hydrology. Theme 4: Impacts on environmental quality and persisting contaminant exposures. Theme 5: Impacts to coastal ecosystems, habitats, and fish and wildlife. A major emphasis in the implementation of this plan will be on interacting with stakeholders to better understand their specific data and information needs, to define the best way to make information available, and to support applications of USGS science and expertise to decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1390","usgsCitation":"Buxton, H.T., Andersen, M.E., Focazio, M.J., Haines, J.W., Hainly, R.A., Hippe, D.J., and Sugarbaker, L.J., 2013, Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery: U.S. Geological Survey Circular 1390, vi, 26 p., https://doi.org/10.3133/cir1390.","productDescription":"vi, 26 p.","numberOfPages":"32","additionalOnlineFiles":"N","ipdsId":"IP-046133","costCenters":[{"id":507,"text":"Office of the AD Energy and Mineralsand Environmental Health","active":false,"usgs":true}],"links":[{"id":274399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1390.gif"},{"id":274393,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1390/circ1390.pdf"},{"id":274392,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1390/"}],"country":"United States","state":"Connecticut;Delaware;Maine;Maryl;Massachusetts;New Hampshire;New Jersey;New York;Pennsylvania;Rhode Island;Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.94,36.87 ], [ -77.94,43.86 ], [ -69.62,43.86 ], [ -69.62,36.87 ], [ -77.94,36.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389a3","contributors":{"authors":[{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":479519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":479513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hainly, Robert A. rahainly@usgs.gov","contributorId":1679,"corporation":false,"usgs":true,"family":"Hainly","given":"Robert","email":"rahainly@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hippe, Daniel J. djhippe@usgs.gov","contributorId":2281,"corporation":false,"usgs":true,"family":"Hippe","given":"Daniel","email":"djhippe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":479517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sugarbaker, Larry J. lsugarbaker@usgs.gov","contributorId":3079,"corporation":false,"usgs":true,"family":"Sugarbaker","given":"Larry","email":"lsugarbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":479518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046722,"text":"ofr20131131 - 2013 - National assessment of hurricane-induced coastal erosion hazards: Mid-Atlantic Coast","interactions":[],"lastModifiedDate":"2013-07-01T08:23:52","indexId":"ofr20131131","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1131","title":"National assessment of hurricane-induced coastal erosion hazards: Mid-Atlantic Coast","docAbstract":"Beaches serve as a natural buffer between the ocean and inland communities, ecosystems, and natural resources. However, these dynamic environments move and change in response to winds, waves, and currents. During extreme storms, changes to beaches can be large, and the results are sometimes catastrophic. Lives may be lost, communities destroyed, and millions of dollars spent on rebuilding.\n\nDuring storms, large waves may erode beaches, and high storm surge shifts the erosive force of the waves higher on the beach. In some cases, the combined effects of waves and surge may cause overwash (when waves and surge overtop the dune, transporting sand inland) or flooding. Building and infrastructure on or near a dune can be undermined during wave attack and subsequent erosion. During Hurricane Ivan in 2004, a five-story condominium in Orange Beach, Alabama, collapsed after the sand dune supporting the foundation eroded. Hurricane Sandy, which made landfall as an extra-tropical cyclone on October 29, 2012, caused erosion and undermining that destroyed roads, boardwalks, and foundations in Seaside Heights, New Jersey.\n\nWaves overtopping a dune can transport sand inland, covering roads and blocking evacuation routes or emergency relief. If storm surge inundates barrier island dunes, currents flowing across the island can create a breach, or a new inlet, completely severing evacuation routes. Waves and surge during Hurricane Sandy, which made landfall on October 29, 2012, left a breach that cut the road and bridge to Mantoloking, N.J.\n\nExtreme coastal changes caused by hurricanes may increase the vulnerability of communities both during a storm and to future storms. For example, when sand dunes on a barrier island are eroded substantially, inland structures are exposed to storm surge and waves. Absent or low dunes also allow water to flow inland across the island, potentially increasing storm surge in the back bay, on the soundside of the barrier, and on the mainland.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131131","usgsCitation":"Doran, K., Stockdon, H.F., Sopkin, K.L., Thompson, D.M., and Plant, N.G., 2013, National assessment of hurricane-induced coastal erosion hazards: Mid-Atlantic Coast: U.S. Geological Survey Open-File Report 2013-1131, vi, 28 p.; Mid-Atlantic Coastal Erosion Hazards Dataset, https://doi.org/10.3133/ofr20131131.","productDescription":"vi, 28 p.; Mid-Atlantic Coastal Erosion Hazards Dataset","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131131.gif"},{"id":274310,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1131/"},{"id":274311,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1131/pdf/ofr2013-1131.pdf"},{"id":274312,"type":{"id":7,"text":"Companion Files"},"url":"https://olga.er.usgs.gov/data/NACCH/MA_erosion_hazards.zip"}],"country":"United States","state":"New York;New Jersey;Delaware;Maryl;Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.49,36.5408 ], [ -78.49,45.02 ], [ -71.11,45.02 ], [ -71.11,36.5408 ], [ -78.49,36.5408 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d8e4b0ca18483389b3","contributors":{"authors":[{"text":"Doran, Kara S. 0000-0001-8050-5727","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":33010,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","affiliations":[],"preferred":false,"id":480097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046723,"text":"ofr20131130 - 2013 - National assessment of hurricane-induced coastal erosion hazards: Southeast Atlantic Coast","interactions":[],"lastModifiedDate":"2013-07-01T08:11:17","indexId":"ofr20131130","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1130","title":"National assessment of hurricane-induced coastal erosion hazards: Southeast Atlantic Coast","docAbstract":"Beaches serve as a natural barrier between the ocean and inland communities, ecosystems, and natural resources. However, these dynamic environments move and change in response to winds, waves, and currents. During extreme storms, changes to beaches can be large, and the results are sometimes catastrophic. Lives may be lost, communities destroyed, and millions of dollars spent on rebuilding.\n\nDuring storms, large waves may erode beaches, and high storm surge shifts the erosive force of the waves higher on the beach. In some cases, the combined effects of waves and surge may cause overwash or flooding. Building and infrastructure on or near a dune can be undermined during wave attack and subsequent erosion. During Hurricane Ivan in 2004, a five-story condominium in Orange Beach, Alabama, collapsed after the sand dune supporting the foundation eroded. The September 1999 landfall of Hurricane Dennis caused erosion and undermining that destroyed roads, foundations, and septic systems.\n\nWaves overtopping a dune can transport sand inland, covering roads and blocking evacuation routes or emergency relief. If storm surge inundates barrier island dunes, currents flowing across the island can create a breach, or new inlet, completely severing evacuation routes. Waves and surge during the 2003 landfall of Hurricane Isabel left a 200-meter (m) wide breach that cut the only road to and from the village of Hatteras, N.C.\n\nExtreme coastal changes caused by hurricanes may increase the vulnerability of communities both during a storm and to future storms. For example, when sand dunes on a barrier island are eroded substantially, inland structures are exposed to storm surge and waves. Absent or low dunes also allow water to flow inland across the island, potentially increasing storm surge in the back bay, on the soundside of the barrier, and on the mainland. During Hurricane Isabel the protective sand dunes near the breach were completely eroded, increasing vulnerability to future storms.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131130","usgsCitation":"Stockdon, H.F., Doran, K., Thompson, D.M., Sopkin, K.L., and Plant, N.G., 2013, National assessment of hurricane-induced coastal erosion hazards: Southeast Atlantic Coast: U.S. Geological Survey Open-File Report 2013-1130, vi, 28 p., https://doi.org/10.3133/ofr20131130.","productDescription":"vi, 28 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":564,"text":"Southeast Atlantic Coastal Erosion Hazards Dataset","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274306,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1130/"},{"id":274307,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1130/pdf/ofr2013-1130.pdf"},{"id":274308,"type":{"id":7,"text":"Companion Files"},"url":"https://olga.er.usgs.gov/data/NACCH/GOM_erosion_hazards.zip"},{"id":274309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131130.gif"}],"country":"United States","state":"North Carolina;South Carolina;Georgia;Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.9,24.52 ], [ -81.9,36.5882 ], [ -75.37,36.5882 ], [ -75.37,24.52 ], [ -81.9,24.52 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d8e4b0ca18483389b7","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":480098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":480099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":480101,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046756,"text":"sir20135067 - 2013 - Water use, availability, and net demand in the Tennessee River watershed within Alabama, 2005","interactions":[],"lastModifiedDate":"2013-07-01T15:49:21","indexId":"sir20135067","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5067","title":"Water use, availability, and net demand in the Tennessee River watershed within Alabama, 2005","docAbstract":"The U.S. Geological Survey worked in cooperation with the Alabama Department of Economic and Community Affairs—Office of Water Resources to estimate water use and water availability for 2005 for the portion of the Tennessee River watershed contained within the borders of the State of Alabama. Estimates of water use and availability are an important part of planning for population and economic growth in the Tennessee River watershed in Alabama. Total water use for the region in 2005 was 5,197 million gallons per day (Mgal/d). Total surface-water withdrawals were 5,139 Mgal/d, and total groundwater withdrawals were about 58 Mgal/d. About 92 percent of the total water withdrawn was surface water used for once-through cooling for thermoelectric power generation. Self-supplied industrial and public-supply water uses accounted for the next greatest uses of water, constituting approximately 49 and 42 percent, respectively, of the total water use excluding thermoelectric power use.\n\nSummaries of water use by county and subbasin indicated the areas of greatest water withdrawals and use within the Tennessee River watershed. Limestone (2,012 Mgal/d), Jackson (1,498 Mgal/d), and Colbert (1,363 Mgal/d) Counties were the counties with the greatest total water use in 2005 and had large amounts of water withdrawn for thermoelectric power generation. When water use from thermoelectric power generation was not considered, the counties with the greatest withdrawals were Morgan (124 Mgal/d), Madison (72 Mgal/d), Colbert (69 Mgal/d), and Lawrence (67 Mgal/d). The subbasin with the greatest total water use was Wheeler Lake (2,260 Mgal/d) in the Middle Tennessee—Elk subregion. Wheeler Lake subbasin also had the greatest public-supply, irrigation, industrial, mining, and thermoelectric withdrawals of any subbasin in the Tennessee River watershed within Alabama.\n\nTotal water availability for the Tennessee River watershed within Alabama was estimated to be 34,567 Mgal/d by the Geological Survey of Alabama. Net water demand for the watershed was calculated by subtracting the Tennessee Valley Authority estimates of return flow from water withdrawals. The net water demand was 136 Mgal/d, which is less than 1 percent of the estimated water available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135067","collaboration":"Prepared in cooperation with the Alabama Department of Economic and Community Affairs, Office of Water Resources","usgsCitation":"Gill, A.C., Harper, M.J., and Littlepage, T.M., 2013, Water use, availability, and net demand in the Tennessee River watershed within Alabama, 2005: U.S. Geological Survey Scientific Investigations Report 2013-5067, vii, 42 p., https://doi.org/10.3133/sir20135067.","productDescription":"vii, 42 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":274400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135067.gif"},{"id":274397,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5067/"},{"id":274398,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5067/pdf/sir2013-5067.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Tennessee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.0,30.0 ], [ -87.0,36.0 ], [ -84.0,36.0 ], [ -84.0,30.0 ], [ -87.0,30.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296dbe4b0ca18483389c3","contributors":{"authors":[{"text":"Gill, Amy C. 0000-0002-5738-9390 acgill@usgs.gov","orcid":"https://orcid.org/0000-0002-5738-9390","contributorId":220,"corporation":false,"usgs":true,"family":"Gill","given":"Amy","email":"acgill@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":480167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harper, Michael J.","contributorId":63904,"corporation":false,"usgs":true,"family":"Harper","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Littlepage, Thomas M.","contributorId":55542,"corporation":false,"usgs":true,"family":"Littlepage","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480168,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171352,"text":"70171352 - 2013 - Carcass analog addition enhances juvenile Atlantic salmon (Salmo salar) growth and condition","interactions":[],"lastModifiedDate":"2016-05-30T12:55:26","indexId":"70171352","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Carcass analog addition enhances juvenile Atlantic salmon (Salmo salar) growth and condition","docAbstract":"

Our study used historic marine-derived nutrient (MDN) delivery timing to simulate potential effects of restored connectivity on juvenile Atlantic salmon (ATS; Salmo salar) growth and condition. Four headwater streams were stocked with ATS young of the year (YOY) and received carcass analog additions (0.10 kg·m–2 wetted area) in treatment reaches to match the timing of sea lamprey (Petromyzon marinus) spawning. Individual ATS mass was 33%–48% greater and standard length was 9%–15% greater in treatment reaches relative to control reaches for 4 months following nutrient additions. Percent total lipids in YOY ATS were twice as great in treatment reaches 1 month following carcass analog additions and remained elevated in treatment fish for 2 more months. Absolute growth rates, based on otolith microstructure analysis, correlated with water temperature fluctuations in all reaches and were elevated by an average of 0.07 mm·day–1 in treatment reaches for 1 month following carcass analog additions. Simulated sea lamprey MDNs increased juvenile ATS growth, which, via potential increases in overwinter survival and decreases in smolt age, may contribute to population persistence and ecosystem productivity.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2012-0496","usgsCitation":"Guyette, M.Q., Loftin, C., and Zydlewski, J.D., 2013, Carcass analog addition enhances juvenile Atlantic salmon (Salmo salar) growth and condition: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 6, p. 860-870, https://doi.org/10.1139/cjfas-2012-0496.","productDescription":"11 p.","startPage":"860","endPage":"870","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040638","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d6451e4b07e28b66835e9","contributors":{"authors":[{"text":"Guyette, Margaret Q.","contributorId":169712,"corporation":false,"usgs":false,"family":"Guyette","given":"Margaret","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":630802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":630803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630696,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041498,"text":"70041498 - 2013 - Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries","interactions":[],"lastModifiedDate":"2013-07-01T11:40:22","indexId":"70041498","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries","docAbstract":"The northern fulmar Fulmarus glacialis is one of the most visible and widespread seabirds in the eastern Bering Sea and Aleutian Islands. However, relatively little is known about its abundance, trends, or the factors that shape its distribution. We used a long-term pelagic dataset to model changes in fulmar at-sea distribution and abundance since the mid-1970s. We used an ensemble model, based on a weighted average of generalized additive model (GAM), multivariate adaptive regression splines (MARS), and random forest models to estimate the pelagic distribution and density of fulmars in the waters of the Aleutian Archipelago and Bering Sea. The most important predictor variables were colony effect, sea surface temperature, distribution of fisheries, location, and primary productivity. We calculated a time series from the ratio of observed to predicted values and found that fulmar at-sea abundance declined from the 1970s to the 2000s at a rate of 0.83% (± 0.39% SE) per annum. Interpolating fulmar densities on a spatial grid through time, we found that the center of fulmar distribution in the Bering Sea has shifted north, coinciding with a northward shift in fish catches and a warming ocean. Our study shows that fisheries are an important, but not the only factor, shaping fulmar distribution and abundance trends in the eastern Bering Sea and Aleutian Islands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10347","usgsCitation":"Renner, M., Parrish, J.K., Piatt, J.F., Kuletz, K.J., Edwards, A.E., and Hunt, G.L., 2013, Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries: Marine Ecology Progress Series, v. 484, p. 259-277, https://doi.org/10.3354/meps10347.","productDescription":"19 p.","startPage":"259","endPage":"277","ipdsId":"IP-040194","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10347","text":"Publisher Index Page"},{"id":274354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274353,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10347"}],"otherGeospatial":"Bering Sea;Aleutian Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 161.98,51.2 ], [ 161.98,66.05 ], [ -150.9,66.05 ], [ -150.9,51.2 ], [ 161.98,51.2 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389ab","contributors":{"authors":[{"text":"Renner, Martin","contributorId":18648,"corporation":false,"usgs":true,"family":"Renner","given":"Martin","affiliations":[],"preferred":false,"id":469852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Julia K.","contributorId":47270,"corporation":false,"usgs":true,"family":"Parrish","given":"Julia","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuletz, Kathy J.","contributorId":24669,"corporation":false,"usgs":true,"family":"Kuletz","given":"Kathy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Ann E.","contributorId":62110,"corporation":false,"usgs":true,"family":"Edwards","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, George L. Jr.","contributorId":56953,"corporation":false,"usgs":true,"family":"Hunt","given":"George","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469855,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040562,"text":"70040562 - 2013 - Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change","interactions":[],"lastModifiedDate":"2013-07-01T11:29:47","indexId":"70040562","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change","docAbstract":"The outputs from two General Circulation Models (GCMs) with two emissions scenarios were downscaled and bias-corrected to develop regional climate change projections for the Tahoe Basin. For one model—the Geophysical Fluid Dynamics Laboratory or GFDL model—the daily model results were used to drive a distributed hydrologic model. The watershed model used an energy balance approach for computing evapotranspiration and snowpack dynamics so that the processes remain a function of the climate change projections. For this study, all other aspects of the model (i.e. land use distribution, routing configuration, and parameterization) were held constant to isolate impacts of climate change projections. The results indicate that (1) precipitation falling as rain rather than snow will increase, starting at the current mean snowline, and moving towards higher elevations over time; (2) annual accumulated snowpack will be reduced; (3) snowpack accumulation will start later; and (4) snowmelt will start earlier in the year. Certain changes were masked (or counter-balanced) when summarized as basin-wide averages; however, spatial evaluation added notable resolution. While rainfall runoff increased at higher elevations, a drop in total precipitation volume decreased runoff and fine sediment load from the lower elevation meadow areas and also decreased baseflow and nitrogen loads basin-wide. This finding also highlights the important role that the meadow areas could play as high-flow buffers under climatic change. Because the watershed model accounts for elevation change and variable meteorological patterns, it provided a robust platform for evaluating the impacts of projected climate change on hydrology and water quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0629-8","usgsCitation":"Riverson, J., Coats, R., Costa-Cabral, M., Dettinger, M., Reuter, J., Sahoo, G., and Schladow, G., 2013, Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change: Climatic Change, v. 116, no. 1, p. 35-50, https://doi.org/10.1007/s10584-012-0629-8.","productDescription":"16 p.","startPage":"35","endPage":"50","ipdsId":"IP-041968","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":274350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274349,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-012-0629-8"}],"country":"United States","state":"Nevada;California","otherGeospatial":"Lake Tahoe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.163938,38.936611 ], [ -120.163938,39.248854 ], [ -119.926019,39.248854 ], [ -119.926019,38.936611 ], [ -120.163938,38.936611 ] ] ] } } ] }","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-15","publicationStatus":"PW","scienceBaseUri":"51d296d8e4b0ca18483389af","contributors":{"authors":[{"text":"Riverson, John","contributorId":39677,"corporation":false,"usgs":true,"family":"Riverson","given":"John","email":"","affiliations":[],"preferred":false,"id":468539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coats, Robert","contributorId":108007,"corporation":false,"usgs":true,"family":"Coats","given":"Robert","affiliations":[],"preferred":false,"id":468543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costa-Cabral, Mariza","contributorId":42507,"corporation":false,"usgs":true,"family":"Costa-Cabral","given":"Mariza","email":"","affiliations":[],"preferred":false,"id":468540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Mike 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":859,"corporation":false,"usgs":true,"family":"Dettinger","given":"Mike","email":"mddettin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":468537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reuter, John","contributorId":107169,"corporation":false,"usgs":true,"family":"Reuter","given":"John","email":"","affiliations":[],"preferred":false,"id":468542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sahoo, Goloka","contributorId":82204,"corporation":false,"usgs":true,"family":"Sahoo","given":"Goloka","email":"","affiliations":[],"preferred":false,"id":468541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schladow, Geoffrey","contributorId":10312,"corporation":false,"usgs":true,"family":"Schladow","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":468538,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70150321,"text":"70150321 - 2013 - Beaver dams maintain fish biodiversity by increasing habitat heterogeneity throughout a low-gradient stream network","interactions":[],"lastModifiedDate":"2015-07-01T12:51:17","indexId":"70150321","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Beaver dams maintain fish biodiversity by increasing habitat heterogeneity throughout a low-gradient stream network","docAbstract":"
    \n
  1. Understanding the relationship between heterogeneity and biodiversity is an active focus of ecological research. Although habitat heterogeneity is conceptually linked to biodiversity, the amount and configuration of heterogeneity that maintains biodiversity within ecosystems is not well understood, especially for an entire stream network.
    2. \n
  2. Here, we tested alternative outcomes about how habitat alterations caused by beaver dams affected native fish biodiversity. Specifically, we quantified in-stream habitat and fish assemblages above and below all beaver dams (n = 15) and selected control sites (n = 9), adjacent to beaver dams, within an entire, low-gradient stream network (Fish Brook, MA, U.S.A.).
    3. \n
  3. Beaver dams altered habitat within streams in four ways based on upstream versus downstream differences in stream width, depth, velocity and substratum. In general, habitat heterogeneity, measured using two indices, was greater at beaver dams than control sites.
    4. \n
  4. The diversity and abundance of fish around beaver dams were positively related to habitat heterogeneity. Faster water and the coarser substratum below beaver dams increased the amount of fluvial habitat available to native fish. This alteration can be critical for fish with life histories that depend on flowing water and hard substrata.
    5. \n
  5. In summary, within a stream network, beaver dams maintained fish biodiversity by altering in-stream habitat and increasing habitat heterogeneity. Understanding the relationship between habitat heterogeneity and biodiversity can advance basic freshwater ecology and provide science-based support for applied aquatic conservation
    6. \n
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12153","usgsCitation":"Smith, J.M., and Mather, M.E., 2013, Beaver dams maintain fish biodiversity by increasing habitat heterogeneity throughout a low-gradient stream network: Freshwater Biology, v. 58, no. 7, p. 1523-1538, https://doi.org/10.1111/fwb.12153.","productDescription":"16 p.","startPage":"1523","endPage":"1538","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035637","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Fish Brook, Ipswich River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.10694885253906,\n 42.56623017635374\n ],\n [\n -71.10694885253906,\n 42.58177886997267\n ],\n [\n -71.0185432434082,\n 42.58177886997267\n ],\n [\n -71.0185432434082,\n 42.56623017635374\n ],\n [\n -71.10694885253906,\n 42.56623017635374\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-26","publicationStatus":"PW","scienceBaseUri":"55950f2ce4b0b6d21dd6cbd5","contributors":{"authors":[{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":564055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":556706,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189091,"text":"70189091 - 2013 - Protocol for analysis of volcanic ash samples for assessment of hazards from leachable elements","interactions":[],"lastModifiedDate":"2022-02-02T19:45:58.912531","indexId":"70189091","displayToPublicDate":"2013-06-30T16:09:55","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Protocol for analysis of volcanic ash samples for assessment of hazards from leachable elements","docAbstract":"

Volcanic eruptions can produce a wide range of hazards. Although phenomena such as pyroclastic density currents and surges, sector collapses, lahars and ballistic blocks are the most destructive and dangerous, volcanic ash is by far the most widely distributed eruption product1 and the most likely to be encountered by the public. Following an eruption, the public, civil authorities and agricultural producers will often have major concerns about the effects of volcanic ash on human and animal health, drinking water supplies, crops, soils and surface runoff. Freshly‐erupted ash contains a range of potentially toxic soluble elements, which may be released either rapidly or more slowly upon contact with water or body fluids.

","language":"English","publisher":"International Volcanic Health Hazard Network","usgsCitation":"Stewart, C., Horwell, C., Plumlee, G.S., Cronin, S., Delmelle, P., Baxter, P., Calkins, J., Damby, D., Morman, S.A., and Oppenheimer, C., 2013, Protocol for analysis of volcanic ash samples for assessment of hazards from leachable elements, 21 p.","productDescription":"21 p.","ipdsId":"IP-045786","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":379938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343192,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ivhhn.org/images/pdf/volcanic_ash_leachate_protocols.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stewart, C.","contributorId":149568,"corporation":false,"usgs":false,"family":"Stewart","given":"C.","affiliations":[],"preferred":false,"id":702830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwell, C.","contributorId":149587,"corporation":false,"usgs":false,"family":"Horwell","given":"C.","affiliations":[],"preferred":false,"id":702829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cronin, Shane","contributorId":236965,"corporation":false,"usgs":false,"family":"Cronin","given":"Shane","affiliations":[{"id":26898,"text":"University of Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":803475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Delmelle, P.","contributorId":193988,"corporation":false,"usgs":false,"family":"Delmelle","given":"P.","affiliations":[],"preferred":false,"id":702828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baxter, P.","contributorId":149588,"corporation":false,"usgs":false,"family":"Baxter","given":"P.","email":"","affiliations":[],"preferred":false,"id":702826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Calkins, J.","contributorId":193987,"corporation":false,"usgs":false,"family":"Calkins","given":"J.","email":"","affiliations":[],"preferred":false,"id":702827,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":205740,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803476,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702825,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Oppenheimer, Clive","contributorId":174445,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Clive","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":803477,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70094393,"text":"70094393 - 2013 - Framing scenarios of binational water policy with a tool to visualize, quantify and valuate changes in ecosystem services","interactions":[],"lastModifiedDate":"2014-02-20T09:09:04","indexId":"70094393","displayToPublicDate":"2013-06-28T08:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Framing scenarios of binational water policy with a tool to visualize, quantify and valuate changes in ecosystem services","docAbstract":"In the Santa Cruz Watershed, located on the Arizona-Sonora portion of the U.S.-Mexico border, an international wastewater treatment plant treats wastewater from cities on both sides of the border, before discharging it into the river in Arizona. These artificial flows often subsidize important perennial surface water ecosystems in the region. An explicit understanding of the benefits of maintaining instream flow for present and future generations requires the ability to assess and understand the important trade-offs implicit in water-resource management decisions. In this paper, we outline an approach for modeling and visualizing impacts of management decisions in terms of rare terrestrial and aquatic wildlife, vegetation, surface water, groundwater recharge, real-estate values and socio-environmental vulnerable communities. We identify and quantify ecosystem services and model the potential reduction in effluent discharge to the U.S. that is under scrutiny by binational water policy makers and of concern to stakeholders. Results of service provisioning are presented, and implications for policy makers and resource managers are discussed. This paper presents a robust ecosystem services assessment of multiple scenarios of watershed management as a means to discern eco-hydrological responses and consider their potential values for future generations living in the borderlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/w5030852","usgsCitation":"Norman, L.M., Villarreal, M., Niraula, R., Meixner, T., Frisvold, G., and Labiosa, W., 2013, Framing scenarios of binational water policy with a tool to visualize, quantify and valuate changes in ecosystem services: Water, v. 5, no. 3, p. 852-874, https://doi.org/10.3390/w5030852.","productDescription":"23 p.","startPage":"852","endPage":"874","numberOfPages":"23","ipdsId":"IP-039107","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w5030852","text":"Publisher Index Page"},{"id":282558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282557,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/w5030852"}],"country":"Mexico;United States","state":"Arizona;Sonora","county":"Santa Cruz County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.6156,30.8551 ], [ -111.6156,32.875 ], [ -109.9786,32.875 ], [ -109.9786,30.8551 ], [ -111.6156,30.8551 ] ] ] } } ] }","volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-06-28","publicationStatus":"PW","scienceBaseUri":"53cd5a44e4b0b290850f93e1","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":490596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":490601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":490600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":490598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frisvold, George","contributorId":9569,"corporation":false,"usgs":true,"family":"Frisvold","given":"George","email":"","affiliations":[],"preferred":false,"id":490597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Labiosa, William","contributorId":26421,"corporation":false,"usgs":true,"family":"Labiosa","given":"William","affiliations":[],"preferred":false,"id":490599,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046720,"text":"sir20135069 - 2013 - Conceptual and numerical models of groundwater flow in the Ogallala aquifer in Gregory and Tripp Counties, South Dakota, water years 1985--2009","interactions":[],"lastModifiedDate":"2017-10-14T11:17:29","indexId":"sir20135069","displayToPublicDate":"2013-06-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5069","title":"Conceptual and numerical models of groundwater flow in the Ogallala aquifer in Gregory and Tripp Counties, South Dakota, water years 1985--2009","docAbstract":"The Ogallala aquifer is an important water resource for the Rosebud Sioux Tribe in Gregory and Tripp Counties in south-central South Dakota and is used for irrigation, public supply, domestic, and stock water supplies. To better understand groundwater flow in the Ogallala aquifer, conceptual and numerical models of groundwater flow were developed for the aquifer. A conceptual model of the Ogallala aquifer was used to analyze groundwater flow and develop a numerical model to simulate groundwater flow in the aquifer. The MODFLOW–NWT model was used to simulate transient groundwater conditions for water years 1985–2009. The model was calibrated using statistical parameter estimation techniques. Potential future scenarios were simulated using the input parameters from the calibrated model for simulations of potential future drought and future increased pumping.\n\nTransient simulations were completed with the numerical model. A 200-year transient initialization period was used to establish starting conditions for the subsequent 25-year simulation of water years 1985–2009. The 25-year simulation was discretized into three seasonal stress periods per year and used to simulate transient conditions.\n\nA single-layer model was used to simulate flow and mass balance in the Ogallala aquifer with a grid of 133 rows and 282 columns and a uniform spacing of 500 meters (1,640 feet). Regional inflow and outflow were simulated along the western and southern boundaries using specified-head cells. All other boundaries were simulated using no-flow cells. Recharge to the aquifer occurs through precipitation on the outcrop area.\n\nModel calibration was accomplished using the Parameter Estimation (PEST) program that adjusted individual model input parameters and assessed the difference between estimated and model-simulated values of hydraulic head and base flow. This program was designed to estimate parameter values that are statistically the most likely set of values to result in the smallest differences between simulated and observed values, within a given set of constraints. The potentiometric surface of the aquifer calculated during the 200-year initialization period established initial conditions for the transient simulation. Water levels for 38 observation wells were used to calibrate the 25-year simulation. Simulated hydraulic heads for the transient simulation were within plus or minus 20 feet of observed values for 95 percent of observation wells, and the mean absolute difference was 5.1 feet. Calibrated hydraulic conductivity ranged from 0.9 to 227 feet per day (ft/d).\n\nThe annual recharge rates for the transient simulation (water years 1985–2009) ranged from 0.60 to 6.96 inches, with a mean of 3.68 inches for the Ogallala aquifer. This represents a mean recharge rate of 280.5 ft3/s for the model area. Discharge from the aquifer occurs through evapotranspiration, discharge to streams through river leakage and flow from springs and seeps, and well withdrawals. Water is withdrawn from wells for irrigation, public supply, domestic, and stock uses. Simulated mean discharge rates for water years 1985–2009 were about 185 cubic feet per second (ft3/s) for evapotranspiration, 66.7 ft3/s for discharge to streams, and 5.48 ft3/s for well withdrawals. Simulated annual evapotranspiration rates ranged from about 128 to 254 ft3/s, and outflow to streams ranged from 52.2 to 79.9 ft3/s.\n\nA sensitivity analysis was used to examine the response of the calibrated model to changes in model parameters for horizontal hydraulic conductivity, recharge, evapotranspiration, and spring and riverbed conductance. The model was most sensitive to recharge and maximum potential evapotranspiration and least sensitive to riverbed and spring conductances.\n\nTwo potential future scenarios were simulated: a potential drought scenario and a potential increased pumping scenario. To simulate a potential drought scenario, a synthetic drought record was created, the mean of which was equal to 60 percent of the mean estimated recharge rate for the 25-year simulation period. Compared with the results of the calibrated model (non-drought simulation), the simulation representing a potential drought scenario resulted in water-level decreases of as much as 30 feet for the Ogallala aquifer. To simulate the effects of potential future increases in pumping, well withdrawal rates were increased by 50 percent from those estimated for the 25-year simulation period. Compared with the results of the calibrated model, the simulation representing an increased pumping scenario resulted in water-level decreases of as much as 26 feet for the Ogallala aquifer.\n\nGroundwater budgets for the potential future scenario simulations were compared with the transient simulation representing water years 1985–2009. The simulation representing a potential drought scenario resulted in lower aquifer recharge from precipitation and decreased discharge from streams, springs, seeps, and evapotranspiration. The simulation representing a potential increased pumping scenario was similar to results from the transient simulation, with a slight increase in well withdrawals and a slight decrease in discharge from river leakage and evapotranspiration.\n\nThis numerical model is suitable as a tool that could be used to better understand the flow system of the Ogallala aquifer, to approximate hydraulic heads in the aquifer, and to estimate discharge to rivers, springs, and seeps in the study area. The model also is useful to help assess the response of the aquifer to additional stresses, including potential drought conditions and increased well withdrawals.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135069","collaboration":"Prepared in cooperation with the Rosebud Sioux Tribe","usgsCitation":"Davis, K.W., and Putnam, L.D., 2013, Conceptual and numerical models of groundwater flow in the Ogallala aquifer in Gregory and Tripp Counties, South Dakota, water years 1985--2009: U.S. Geological Survey Scientific Investigations Report 2013-5069, viii, 82 p., https://doi.org/10.3133/sir20135069.","productDescription":"viii, 82 p.","numberOfPages":"94","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1984-10-31","temporalEnd":"2009-09-03","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":274304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135069.gif"},{"id":274302,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5069/"},{"id":274303,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5069/sir13-5069.pdf"}],"country":"United States","state":"South Dakota","county":"Gregory County;Tripp County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.2333,42.9979 ], [ -100.2333,43.7619 ], [ -98.4985,43.7619 ], [ -98.4985,42.9979 ], [ -100.2333,42.9979 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f2bbe4b0bc0bec0a056b","contributors":{"authors":[{"text":"Davis, Kyle W. 0000-0002-8723-0110 kyledavis@usgs.gov","orcid":"https://orcid.org/0000-0002-8723-0110","contributorId":3987,"corporation":false,"usgs":true,"family":"Davis","given":"Kyle","email":"kyledavis@usgs.gov","middleInitial":"W.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putnam, Larry D. ldputnam@usgs.gov","contributorId":990,"corporation":false,"usgs":true,"family":"Putnam","given":"Larry","email":"ldputnam@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":480089,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044586,"text":"70044586 - 2013 - Landscape influences on climate-related lake shrinkage at high latitudes","interactions":[],"lastModifiedDate":"2013-06-28T13:53:05","indexId":"70044586","displayToPublicDate":"2013-06-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape influences on climate-related lake shrinkage at high latitudes","docAbstract":"Climate-related declines in lake area have been identified across circumpolar regions and have been characterized by substantial spatial heterogeneity. An improved understanding of the mechanisms underlying lake area trends is necessary to predict where change is most likely to occur and to identify implications for high latitude reservoirs of carbon. Here, using a population of ca. 2300 lakes with statistically significant increasing and decreasing lake area trends spanning longitudinal and latitudinal gradients of ca. 1000 km in Alaska, we present evidence for a mechanism of lake area decline that involves the loss of surface water to groundwater systems. We show that lakes with significant declines in lake area were more likely to be located: (1) in burned areas; (2) on coarser, well-drained soils; and (3) farther from rivers compared to lakes that were increasing. These results indicate that postfire processes such as permafrost degradation, which also results from a warming climate, may promote lake drainage, particularly in coarse-textured soils and farther from rivers where overland flooding is less likely and downslope flow paths and negative hydraulic gradients between surface water and groundwater systems are more common. Movement of surface water to groundwater systems may lead to a deepening of subsurface flow paths and longer hydraulic residence time which has been linked to increased soil respiration and CO2 release to the atmosphere. By quantifying relationships between statewide coarse resolution maps of landscape characteristics and spatially heterogeneous responses of lakes to environmental change, we provide a means to identify at-risk lakes and landscapes and plan for a changing climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gcb.12196","usgsCitation":"Roach, J., Griffith, B., and Verbyla, D., 2013, Landscape influences on climate-related lake shrinkage at high latitudes: Global Change Biology, v. 19, no. 7, p. 2276-2284, https://doi.org/10.1111/gcb.12196.","productDescription":"9 p.","startPage":"2276","endPage":"2284","ipdsId":"IP-039850","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274300,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12196"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-04-03","publicationStatus":"PW","scienceBaseUri":"51cea254e4b044272b8e88fe","contributors":{"authors":[{"text":"Roach, Jennifer K.","contributorId":30861,"corporation":false,"usgs":true,"family":"Roach","given":"Jennifer K.","affiliations":[],"preferred":false,"id":475913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Brad 0000-0001-8698-6859","orcid":"https://orcid.org/0000-0001-8698-6859","contributorId":82571,"corporation":false,"usgs":true,"family":"Griffith","given":"Brad","email":"","affiliations":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":true,"id":475914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verbyla, David","contributorId":87795,"corporation":false,"usgs":true,"family":"Verbyla","given":"David","affiliations":[],"preferred":false,"id":475915,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046716,"text":"ofr20131115 - 2013 - Assessing the use of existing data to compare plains fish assemblages collected from random and fixed sites in Colorado","interactions":[],"lastModifiedDate":"2013-06-27T16:04:29","indexId":"ofr20131115","displayToPublicDate":"2013-06-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1115","title":"Assessing the use of existing data to compare plains fish assemblages collected from random and fixed sites in Colorado","docAbstract":"The U.S. Geological Survey, in cooperation with Colorado Parks and Wildlife, assessed the potential use of combining recently (2007 to 2010) and formerly (1992 to 1996) collected data to compare plains fish assemblages sampled from random and fixed sites located in the South Platte and Arkansas River Basins in Colorado. The first step was to determine if fish assemblages collected between 1992 and 1996 were comparable to samples collected at the same sites between 2007 and 2010. If samples from the two time periods were comparable, then it was considered reasonable that the combined time-period data could be used to make comparisons between random and fixed sites. In contrast, if differences were found between the two time periods, then it was considered unreasonable to use these data to make comparisons between random and fixed sites. One-hundred samples collected during the 1990s and 2000s from 50 sites dispersed among 19 streams in both basins were compiled from a database maintained by Colorado Parks and Wildlife. Nonparametric multivariate two-way analysis of similarities was used to test for fish-assemblage differences between time periods while accounting for stream-to-stream differences. Results indicated relatively weak but significant time-period differences in fish assemblages. Weak time-period differences in this case possibly were related to changes in fish assemblages associated with environmental factors; however, it is difficult to separate other possible explanations such as limited replication of paired time-period samples in many of the streams or perhaps differences in sampling efficiency and effort between the time periods. Regardless, using the 1990s data to fill data gaps to compare random and fixed-site fish-assemblage data is ill advised based on the significant separation in fish assemblages between time periods and the inability to determine conclusive explanations for these results. These findings indicated that additional sampling will be necessary before unbiased comparisons can be made between fish assemblages collected from random and fixed sites in the South Platte and Arkansas River Basins.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131115","collaboration":"Prepared in cooperation with Colorado Parks and Wildlife","usgsCitation":"Zuellig, R.E., and Crockett, H.J., 2013, Assessing the use of existing data to compare plains fish assemblages collected from random and fixed sites in Colorado: U.S. Geological Survey Open-File Report 2013-1115, iv, 9 p., https://doi.org/10.3133/ofr20131115.","productDescription":"iv, 9 p.","numberOfPages":"13","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":274279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131115.gif"},{"id":274278,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1115/OF13-1115_508.pdf"},{"id":274277,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1115/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cd50d1e4b0e7a904971ba7","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crockett, Harry J.","contributorId":75417,"corporation":false,"usgs":true,"family":"Crockett","given":"Harry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480076,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046717,"text":"sir20135050 - 2013 - Brookian sequence well log correlation sections and occurrence of gas hydrates, north-central North Slope, Alaska","interactions":[],"lastModifiedDate":"2013-06-27T16:20:22","indexId":"sir20135050","displayToPublicDate":"2013-06-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5050","title":"Brookian sequence well log correlation sections and occurrence of gas hydrates, north-central North Slope, Alaska","docAbstract":"Gas hydrates are naturally occurring crystalline, ice-like substances that consist of natural gas molecules trapped in a solid-water lattice. Because of the compact nature of their structure, hydrates can effectively store large volumes of gas and, consequently, have been identified as a potential unconventional energy source. First recognized to exist geologically in the 1960s, significant accumulations of gas hydrate have been found throughout the world. Gas hydrate occurrence is limited to environments such as permafrost regions and subsea sediments because of the pressure and temperature conditions required for their formation and stability. Permafrost-associated gas hydrate accumulations have been discovered in many regions of the Arctic, including Russia, Canada, and the North Slope of Alaska. Gas hydrate research has a long history in northern Alaska. This research includes the drilling, coring, and well log evaluation of two gas hydrate stratigraphic test wells and two resource assessments of gas hydrates on the Alaska North Slope. Building upon these previous investigations, this report provides a summary of the pertinent well log, gas hydrate, and stratigraphic data for key wells related to gas hydrate occurrence in the north-central North Slope. The data are presented in nine well log correlation sections with 122 selected wells to provide a regional context for gas hydrate accumulations and the relation of the accumulations to key stratigraphic horizons and to the base of the ice-bearing permafrost. Also included is a well log database that lists the location, available well logs, depths, and other pertinent information for each of the wells on the correlation section.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135050","usgsCitation":"Lewis, K.A., and Collett, T.S., 2013, Brookian sequence well log correlation sections and occurrence of gas hydrates, north-central North Slope, Alaska: U.S. Geological Survey Scientific Investigations Report 2013-5050, Report: vi, 25 p., https://doi.org/10.3133/sir20135050.","productDescription":"Report: vi, 25 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135050.gif"},{"id":274280,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5050/"},{"id":274281,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5050/SIR13-5050_508.pdf"},{"id":274282,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5050/downloads2/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015277777777777777,6.151944444444445 ], [ -0.015277777777777777,0.0019444444444444444 ], [ -0.015555555555555555,0.0019444444444444444 ], [ -0.015555555555555555,6.151944444444445 ], [ -0.015277777777777777,6.151944444444445 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cd50d6e4b0e7a904971bab","contributors":{"authors":[{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480077,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046063,"text":"70046063 - 2013 - Marine radiocarbon reservoir age variation in Donax obesulus shells from northern Peru: Late Holocene evidence for extended El Niño","interactions":[],"lastModifiedDate":"2020-10-16T12:11:56.701403","indexId":"70046063","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Marine radiocarbon reservoir age variation in Donax obesulus shells from northern Peru: Late Holocene evidence for extended El Niño","docAbstract":"

For at least 6 m.y., El Niño events have posed the greatest environmental risk on the Peruvian coast. A better understanding of El Niño is essential for predicting future risk and growth in this tropical desert. To achieve this we analyzed archaeological and modern pre-bomb shells from the surf clam Donax for the radiocarbon reservoir effect (ΔR) to characterize late Holocene coastal upwelling conditions in northern Peru (8°14′S). Mean ΔR values from these shells suggest that modern upwelling conditions in this region were likely established between A.D. 539 and A.D. 1578. Our radiocarbon data suggest that upwelling conditions ca. A.D. 539 were less intense than those in modern times. The observed coastal water enrichment in 14C may be consequence of frequent strong El Niño events or extended El Niño–like conditions. These ΔR-inferred marine conditions are in agreement with proposed extended El Niño activity in proxy and archaeological records of ca. A.D. 475–530. Extended El Niño conditions have been linked to political destabilization, societal transformation, and collapse of the Moche civilization in northern Peru. A return to such conditions would have significant impacts on the dense population of this region today and in the near future.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G34065.1","usgsCitation":"Etayo-Cadavid, M.F., Andrus, C.F., Jones, K.B., Hodgins, G.W., Sandweiss, D., Uceda-Castillo, S., and Quilter, J., 2013, Marine radiocarbon reservoir age variation in Donax obesulus shells from northern Peru: Late Holocene evidence for extended El Niño: Geology, v. 41, no. 5, p. 599-602, https://doi.org/10.1130/G34065.1.","productDescription":"4 p.","startPage":"599","endPage":"602","ipdsId":"IP-025087","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.33,-18.35 ], [ -81.33,-0.04 ], [ -68.65,-0.04 ], [ -68.65,-18.35 ], [ -81.33,-18.35 ] ] ] } } ] }","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-03-18","publicationStatus":"PW","scienceBaseUri":"51cbff55e4b052f2a4539873","contributors":{"authors":[{"text":"Etayo-Cadavid, Miguel F.","contributorId":16296,"corporation":false,"usgs":true,"family":"Etayo-Cadavid","given":"Miguel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":478797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrus, C. Fred T.","contributorId":80568,"corporation":false,"usgs":true,"family":"Andrus","given":"C.","email":"","middleInitial":"Fred T.","affiliations":[],"preferred":false,"id":478800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Kevin B. 0000-0002-6386-2623 kevinjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-2623","contributorId":565,"corporation":false,"usgs":true,"family":"Jones","given":"Kevin","email":"kevinjones@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodgins, Gregory W. L.","contributorId":67787,"corporation":false,"usgs":false,"family":"Hodgins","given":"Gregory","email":"","middleInitial":"W. L.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":478799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandweiss, Daniel H.","contributorId":6356,"corporation":false,"usgs":true,"family":"Sandweiss","given":"Daniel H.","affiliations":[],"preferred":false,"id":478796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Uceda-Castillo, Sandiago","contributorId":32427,"corporation":false,"usgs":true,"family":"Uceda-Castillo","given":"Sandiago","email":"","affiliations":[],"preferred":false,"id":478798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quilter, Jeffrey","contributorId":95361,"corporation":false,"usgs":true,"family":"Quilter","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":478801,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046703,"text":"sir20125209 - 2013 - Estimates of the volume of water in five coal aquifers, Northern Cheyenne Indian Reservation, southeastern Montana","interactions":[],"lastModifiedDate":"2013-06-26T09:37:49","indexId":"sir20125209","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5209","title":"Estimates of the volume of water in five coal aquifers, Northern Cheyenne Indian Reservation, southeastern Montana","docAbstract":"The Tongue River Member of the Tertiary Fort Union Formation is the primary source of groundwater in the Northern Cheyenne Indian Reservation in southeastern Montana. Coal beds within this formation generally contain the most laterally extensive aquifers in much of the reservation. The U.S. Geological Survey, in cooperation with the Northern Cheyenne Tribe, conducted a study to estimate the volume of water in five coal aquifers.\n\nThis report presents estimates of the volume of water in five coal aquifers in the eastern and southern parts of the Northern Cheyenne Indian Reservation: the Canyon, Wall, Pawnee, Knobloch, and Flowers-Goodale coal beds in the Tongue River Member of the Tertiary Fort Union Formation. Only conservative estimates of the volume of water in these coal aquifers are presented.\n\nThe volume of water in the Canyon coal was estimated to range from about 10,400 acre-feet (75 percent saturated) to 3,450 acre-feet (25 percent saturated). The volume of water in the Wall coal was estimated to range from about 14,200 acre-feet (100 percent saturated) to 3,560 acre-feet (25 percent saturated). The volume of water in the Pawnee coal was estimated to range from about 9,440 acre-feet (100 percent saturated) to 2,360 acre-feet (25 percent saturated). The volume of water in the Knobloch coal was estimated to range from about 38,700 acre-feet (100 percent saturated) to 9,680 acre-feet (25 percent saturated). The volume of water in the Flowers-Goodale coal was estimated to be about 35,800 acre-feet (100 percent saturated).\n\nSufficient data are needed to accurately characterize coal-bed horizontal and vertical variability, which is highly complex both locally and regionally. Where data points are widely spaced, the reliability of estimates of the volume of coal beds is decreased. Additionally, reliable estimates of the volume of water in coal aquifers depend heavily on data about water levels and data about coal-aquifer characteristics. Because the data needed to define the volume of water were sparse, only conservative estimates of the volume of water in the five coal aquifers are presented in this report. These estimates need to be used with caution and mindfulness of the uncertainty associated with them.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125209","collaboration":"Prepared in cooperation with the Northern Cheyenne Tribe","usgsCitation":"Tuck, L., Pearson, D., Cannon, M.R., and Dutton, D., 2013, Estimates of the volume of water in five coal aquifers, Northern Cheyenne Indian Reservation, southeastern Montana: U.S. Geological Survey Scientific Investigations Report 2012-5209, vi, 26 p., https://doi.org/10.3133/sir20125209.","productDescription":"vi, 26 p.","numberOfPages":"35","additionalOnlineFiles":"N","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":274237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125209.gif"},{"id":274235,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5209/"},{"id":274236,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5209/sir2012-5209.pdf"}],"country":"United States","state":"Montana","otherGeospatial":"Northern Cheyenne Indian Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.083333,45.166667 ], [ -107.083333,45.75 ], [ -106.166667,45.75 ], [ -106.166667,45.166667 ], [ -107.083333,45.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff4fe4b052f2a453985f","contributors":{"authors":[{"text":"Tuck, L.K.","contributorId":54247,"corporation":false,"usgs":true,"family":"Tuck","given":"L.K.","email":"","affiliations":[],"preferred":false,"id":480041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Daniel K.","contributorId":52014,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","affiliations":[],"preferred":false,"id":480040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, M. R.","contributorId":99140,"corporation":false,"usgs":true,"family":"Cannon","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dutton, DeAnn M. ddutton@usgs.gov","contributorId":20762,"corporation":false,"usgs":true,"family":"Dutton","given":"DeAnn M.","email":"ddutton@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046705,"text":"ds762 - 2013 - Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina","interactions":[],"lastModifiedDate":"2026-05-19T16:25:40.053679","indexId":"ds762","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"762","title":"Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina","docAbstract":"Geologic mapping, the collection of borehole geophysical logs and images, and passive diffusion bag sampling were conducted by the U.S. Geological Survey North Carolina Water Science Center in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina, during March through October 2011. The study purpose was to assist the U.S. Environmental Protection Agency in the development of a conceptual groundwater model for the assessment of current contaminant distribution and future migration of contaminants. Data compilation efforts included geologic mapping of more than 250 features, including rock type and secondary joints, delineation of more than 1,300 subsurface features (primarily fracture orientations) in 15 open borehole wells, and the collection of passive diffusion-bag samples from 42 fracture zones at various depths in the 15 wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds762","collaboration":"Prepared in cooperation with U.S. Environmental Protection Agency Region 4 Superfund Section","usgsCitation":"Chapman, M.J., Clark, T.W., and Williams, J., 2013, Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina: U.S. Geological Survey Data Series 762, Report: viii, 37 p.; Appendixes 1-8, https://doi.org/10.3133/ds762.","productDescription":"Report: viii, 37 p.; Appendixes 1-8","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":504533,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98593.htm","linkFileType":{"id":5,"text":"html"}},{"id":274259,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds762.gif"},{"id":274257,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/762/pdf/ds762.pdf"},{"id":274256,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/762/"},{"id":274258,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/762/appendix"}],"country":"United States","state":"North Carolina","city":"Roxboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.32,33.84 ], [ -84.32,36.58 ], [ -75.46,36.58 ], [ -75.46,33.84 ], [ -84.32,33.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff54e4b052f2a4539863","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":480048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Timothy W.","contributorId":104377,"corporation":false,"usgs":true,"family":"Clark","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046691,"text":"sim3263 - 2013 - Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T14:00:01","indexId":"sim3263","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","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":"3263","title":"Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"

Most of the subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction mostly in the clay and silt layers of the aquifer sediments. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains maps depicting approximate water-level altitudes for 2013 (represented by measurements made during December 2012-February 2013) for the Chicot, Evangeline, and Jasper aquifers; maps depicting 1-year (2012-13) water-level changes for each aquifer; maps depicting 5-year (2008--13) water-level changes for each aquifer; maps depicting long-term (1990-2013 and 1977-2013) water-level changes for the Chicot and Evangeline aquifers; a map depicting long-term (2000-13) water-level changes for the Jasper aquifer; a map depicting locations of borehole-extensometer sites; and graphs depicting measured compaction of subsurface sediments at the extensometers during 1973-2012. Tables listing the data used to construct each water-level map for each aquifer and the compaction graphs are included.

\n

In 2013, water-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below North American Vertical Datum of 1988 (hereinafter, datum) in a small area in southwestern Harris County to 200 ft above datum in central to west-central Montgomery County. Water-level changes during 2012-13 in the Chicot aquifer ranged from a 58-ft decline to a 37-ft rise. Contoured 5-year and long-term changes in water levels in the Chicot aquifer ranged from a 30-ft decline to an 80-ft rise (2008-13), from a 120-ft decline to a 100-ft rise (1990-2013), and from an 80-ft decline to a 200-ft rise (1977-2013). In 2013, water-level-altitude contours for the Evangeline aquifer ranged from 300 ft below datum in south-central Montgomery County to 200 ft above datum in southeastern Grimes and northwestern Montgomery Counties. Water-level changes for 2012-13 in the Evangeline aquifer ranged from a 37-ft decline to a 68-ft rise. Contoured 5-year and long-term changes in water levels in the Evangeline aquifer ranged from an 80-ft decline to an 80-ft rise (2008-13), from a 220-ft decline to a 220-ft rise (1990-2013), and from a 360-ft decline to a 260-ft rise (1977-2013). In 2013, water-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum in south-central Montgomery and north-central Harris Counties to 250 ft above datum in northwestern Montgomery County and extending into northeastern Grimes and south-central Walker Counties. Water-level changes for 2012-13 in the Jasper aquifer ranged from a 36-ft decline to an 87-ft rise. Contoured changes in water levels in the Jasper aquifer ranged from a 100-ft decline to 20-ft rise (2008-13) and from a 220-ft decline to no change (2000-13).

\n

Compaction of subsurface sediments (mostly in the clay and silt layers) of the Chicot and Evangeline aquifers was recorded continuously by 13 borehole extensometers at 11 sites that were either activated or installed between 1973 and 1980. For the period of record beginning in 1973 (or later depending on activation or installation date) and ending in December 2012, cumulative measured compaction by 12 of the 13 extensometers ranged from 0.100 ft at the Texas City-Moses Lake extensometer to 3.632 ft at the Addicks extensometer (data were used from only one of two extensometers at one site). The rate of compaction varies from site to site because of differences in groundwater withdrawals near each site and differences among sites in the clay-to-sand ratio in the subsurface sediments. Therefore, it is not possible to extrapolate or infer a rate of compaction for adjacent areas based on the rate of compaction measured at a nearby extensometer.

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results","interactions":[],"lastModifiedDate":"2013-06-25T15:30:26","indexId":"ds754","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"754","title":"National wildlife refuge visitor survey 2012--Individual refuge results","docAbstract":"The National Wildlife Refuge System (Refuge System), established in 1903 and managed by the U.S. Fish and Wildlife Service (Service), is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 560 national wildlife refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts nearly 45 million visitors annually, including 34.8 million people who observe and photograph wildlife, 9.6 million who hunt and fish, and nearly 675,000 teachers and students who use refuges as outdoor classrooms. Understanding visitor perceptions of refuges and characterizing their experiences on refuges are critical elements of managing these lands and meeting the goals of the Refuge System. The Service collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The purpose of the survey was to better understand visitor experiences and trip characteristics, to gauge visitors’ levels of satisfaction with existing recreational opportunities, and to garner feedback to inform the design of programs and facilities. The survey results will inform performance, planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plans (CCPs), visitor services, and transportation planning processes. This Data Series consists of 25 separate data files. Each file describes the results of the survey for an individual refuge and contains the following information: • Introduction: An overview of the Refuge System and the goals of the national surveying effort. • Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results.• Refuge Description: A brief description of the refuge location, acreage, purpose, recreational activities, and visitation statistics, including a map (where available) and refuge website link. • Sampling at This Refuge: The sampling periods, locations, and response rate for the refuge. • Selected Survey Results: Key findings for the refuge, including: o Visitor and trip characteristics o Visitor spending in the local communities o Visitors opinions about the refuge o Visitor opinions about National Wildlife Refuge System topics • Conclusion • References Cited • Survey Frequencies (Appendix A): The survey instrument with frequency results for the refuge. • Visitor Comments (Appendix B): The verbatim responses to the open-ended survey questions for the refuge.Individual-refuge results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/643/ as part of USGS Data Series 643. Combined results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/685/ as part of USGS Data Series 685.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds754","usgsCitation":"Dietsch, A.M., Sexton, N.R., Koontz, L.M., and Conk, S.J., 2013, National wildlife refuge visitor survey 2012--Individual refuge results: U.S. Geological Survey Data Series 754, NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685, https://doi.org/10.3133/ds754.","productDescription":"NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science 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transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009","docAbstract":"As part of an environmental investigation at Fort Wingate Depot Activity, New Mexico, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, interpreted aqueous geochemical concentrations to better understand the groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer underlying the study area. The fine-grained nature of the alluvial matrix creates a highly heterogeneous environment, which adds to the difficulty of characterizing the flow of groundwater and the fate of aqueous constituents of concern. The analysis of the groundwater geochemical data collected in October 2009 provides evidence that is used to identify four groundwater flow paths and their extent in the aquifer and indicates the dominant attenuation processes for the constituents of concern.\n\nThe extent and interaction of groundwater flow paths were delineated by the major ion concentrations and their relations to each other. Four areas of groundwater recharge to the study area were identified based on groundwater elevations, hydrogeologic characteristics, and geochemical and isotopic evidence. One source of recharge enters the study area from the saturated alluvial deposits underlying the South Fork of the Puerco River to the north of the study area. A second source of recharge is shown to originate from a leaky cistern containing production water from the San Andres-Glorieta aquifer. The other two sources of recharge are shown to enter the study area from the south: one from an arroyo valley draining an area to the south and one from hill-front recharge that passes under the reported release of perchlorate and explosive constituents. The spatial extent and interaction of groundwater originating from these various sources along identified flow paths affect the persistence and attenuation of constituents of concern.\n\nIt was determined that groundwater originating in the area of a former explosives’ wash-out operation and an accidental spill of perchlorate was spatially limited, and that dilution is the primary attenuation process for these constituents. The explosive concentrations of the nitramine 1,3,5-trinitroperhydro-1,3,5-triazine (RDX) and the oxidizer perchlorate both support that determination. Unlike RDX and perchlorate, there were no detectable concentrations of trinitrotoluene (TNT) in the aquifer. Based on the chemical nature of TNT and the redox conditions found in the aquifer, it is interpreted that TNT is lost to irreversible sorption and aerobic degradation. Nitrate was ubiquitous in the alluvial groundwater in October 2009. The nitrate concentrations in wells associated with the explosives’ groundwater flow path indicate attenuation primarily through dilution, similar to that of RDX. The origin of nitrate concentrations in the wells located in the Administration Area is uncertain but may have resulted from the leakage of aging clay sewage pipes that service most of the structures within that area or as a relic of a former hydrologic regime in which water from the washout operation migrated across a broader area. Sufficient data do not exist to definitively identify the location(s) of water discharge in this area, but transpiration from near the Administration Area is supported by the geochemical concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135098","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Robertson, A.J., Henry, D.W., and Langman, J.B., 2013, Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009: U.S. Geological Survey Scientific Investigations Report 2013-5098, vii, 89 p., https://doi.org/10.3133/sir20135098.","productDescription":"vii, 89 p.","numberOfPages":"100","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":274129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135098.gif"},{"id":274128,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5098/sir2013-5098.pdf"},{"id":274127,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5098/"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fort Wingate Depot Activity","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.833333,35.166667 ], [ -108.833333,35.666667 ], [ -108.166667,35.666667 ], [ -108.166667,35.166667 ], [ -108.833333,35.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c59e4b0a50a6e8f57a4","contributors":{"authors":[{"text":"Robertson, Andrew J. 0000-0003-2130-0347 ajrobert@usgs.gov","orcid":"https://orcid.org/0000-0003-2130-0347","contributorId":4129,"corporation":false,"usgs":true,"family":"Robertson","given":"Andrew","email":"ajrobert@usgs.gov","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, David W.","contributorId":7593,"corporation":false,"usgs":true,"family":"Henry","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langman, Jeffery B.","contributorId":8359,"corporation":false,"usgs":true,"family":"Langman","given":"Jeffery","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":480006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045533,"text":"70045533 - 2013 - Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA","interactions":[],"lastModifiedDate":"2018-07-14T14:12:53","indexId":"70045533","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA","docAbstract":"The Yukon-Kuskokwim Delta (Y-K Delta) in western Alaska is an immense and important breeding ground for waterfowl. Migratory birds from the Pacific Americas, Central Pacific, and East Asian-Australasian flyways converge in this region, providing opportunities for intermixing of North American- and Eurasian-origin hosts and infectious agents, such as avian influenza virus (AIV). We characterized the genomes of 90 low pathogenic (LP) AIV isolates from 11 species of waterfowl sampled on the Y-K Delta between 2006 and 2009 as part of an interagency surveillance program for the detection of the H5N1 highly pathogenic (HP) strain of AIV. We found evidence for subtype and genetic differences between viruses from swans and geese, dabbling ducks, and sea ducks. At least one gene segment in 39% of all isolates was Eurasian in origin. Target species (those ranked as having a relatively high potential to introduce HP H5N1 AIV to North America) were no more likely than nontarget species to carry viruses with genes of Eurasian origin. These findings provide evidence that the frequency at which viral gene segments of Eurasian origin are detected does not result from a strong species effect, but rather we suspect it is linked to the geographic location of the Y-K Delta in western Alaska where flyways from different continents overlap. This study provides support for retaining the Y-K Delta as a high priority region for the surveillance of Asian avian pathogens such as HP H5N1 AIV.","language":"English","publisher":"WDA","doi":"10.7589/2012-04-108","usgsCitation":"Reeves, A.B., Pearce, J.M., Ramey, A.M., Ely, C.R., Schmutz, J.A., Flint, P.L., Derksen, D.V., Ip, S., and Trust, K.A., 2013, Genomic analysis of avian influenza viruses from waterfowl in Western Alaska, USA: Journal of Wildlife Diseases, v. 49, no. 3, p. 600-610, https://doi.org/10.7589/2012-04-108.","productDescription":"11 p.","startPage":"600","endPage":"610","ipdsId":"IP-041234","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":274133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274132,"type":{"id":10,"text":"Digital Object 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WTEB","active":true,"usgs":true}],"preferred":true,"id":477774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science 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0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":477770,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trust, Kimberly A.","contributorId":42503,"corporation":false,"usgs":false,"family":"Trust","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":477777,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70045101,"text":"70045101 - 2013 - Location and timing of Asian carp spawning in the Lower Missouri River","interactions":[],"lastModifiedDate":"2017-05-24T12:48:17","indexId":"70045101","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Location and timing of Asian carp spawning in the Lower Missouri River","docAbstract":"

We sampled for eggs of Asian carps, (bighead carp Hypophthalmichthys nobilis, silver carp H. molitrix, and grass carp Ctenopharyngodon idella) in 12 sites on the Lower Missouri River and in six tributaries from the months of May through July 2005 and May through June 2006 to examine the spatial and temporal dynamics of spawning activity. We categorized eggs into thirty developmental stages, but usually they could not be identified to species. We estimated spawning times and locations based on developmental stage, temperature dependent rate of development and water velocity. Spawning rate was higher in the daytime between 05:00 and 21:00 h than at night. Spawning was not limited to a few sites, as has been reported for the Yangtze River, where these fishes are native, but more eggs were spawned in areas of high sinuosity. We employ a sediment transport model to estimate vertical egg concentration profiles and total egg fluxes during spawning periods on the Missouri River. We did not identify substantial spawning activity within tributaries or at tributary confluences examined in this study.

","language":"English","publisher":"Springer","doi":"10.1007/s10641-012-0052-z","usgsCitation":"Deters, J.E., Chapman, D., and McElroy, B., 2013, Location and timing of Asian carp spawning in the Lower Missouri River: Environmental Biology of Fishes, v. 96, no. 5, p. 617-629, https://doi.org/10.1007/s10641-012-0052-z.","productDescription":"13 p.","startPage":"617","endPage":"629","ipdsId":"IP-026008","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":274094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274093,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-012-0052-z"}],"country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.63,38.44 ], [ -96.63,42.6 ], [ -90.06,42.6 ], [ -90.06,38.44 ], [ -96.63,38.44 ] ] ] } } ] }","volume":"96","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-07-15","publicationStatus":"PW","scienceBaseUri":"51c95c5ae4b0a50a6e8f57b0","contributors":{"authors":[{"text":"Deters, Joseph E. jdeters@usgs.gov","contributorId":3240,"corporation":false,"usgs":true,"family":"Deters","given":"Joseph","email":"jdeters@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":476796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":476795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McElroy, Brandon 0000-0002-9683-4282","orcid":"https://orcid.org/0000-0002-9683-4282","contributorId":90453,"corporation":false,"usgs":true,"family":"McElroy","given":"Brandon","email":"","affiliations":[],"preferred":false,"id":476797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046672,"text":"ofr20131123 - 2013 - Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","interactions":[],"lastModifiedDate":"2013-06-24T08:57:51","indexId":"ofr20131123","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1123","title":"Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","docAbstract":"Cheney Reservoir, located in south-central Kansas, is one of the primary water supplies for the city of Wichita, Kansas. The U.S. Geological Survey has operated a continuous real-time water-quality monitoring station in Cheney Reservoir since 2001; continuously measured physicochemical properties include specific conductance, pH, water temperature, dissolved oxygen, turbidity, fluorescence (wavelength range 650 to 700 nanometers; estimate of total chlorophyll), and reservoir elevation. Discrete water-quality samples were collected during 2001 through 2009 and analyzed for sediment, nutrients, taste-and-odor compounds, cyanotoxins, phytoplankton community composition, actinomycetes bacteria, and other water-quality measures. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physicochemical properties to compute concentrations of constituents that are not easily measured in real time. The water-quality information in this report is important to the city of Wichita because it allows quantification and characterization of potential constituents of concern in Cheney Reservoir.\n\nThis report updates linear regression models published in 2006 that were based on data collected during 2001 through 2003. The update uses discrete and continuous data collected during May 2001 through December 2009. Updated models to compute dissolved solids, sodium, chloride, and suspended solids were similar to previously published models. However, several other updated models changed substantially from previously published models. In addition to updating relations that were previously developed, models also were developed for four new constituents, including magnesium, dissolved phosphorus, actinomycetes bacteria, and the cyanotoxin microcystin. In addition, a conversion factor of 0.74 was established to convert the Yellow Springs Instruments (YSI) model 6026 turbidity sensor measurements to the newer YSI model 6136 sensor at the Cheney Reservoir site.\n\nBecause a high percentage of geosmin and microcystin data were below analytical detection thresholds (censored data), multiple logistic regression was used to develop models that best explained the probability of geosmin and microcystin concentrations exceeding relevant thresholds. The geosmin and microcystin models are particularly important because geosmin is a taste-and-odor compound and microcystin is a cyanotoxin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131123","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Stone, M.L., Graham, J.L., and Gatotho, J.W., 2013, Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009: U.S. Geological Survey Open-File Report 2013-1123, x, 100 p., https://doi.org/10.3133/ofr20131123.","productDescription":"x, 100 p.","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2001-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":274082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131123.gif"},{"id":274080,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1123/"},{"id":274081,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1123/ofr2013-1123.pdf"}],"country":"United States","state":"Kansas","city":"Cheney","otherGeospatial":"Cheney Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.904354,37.717691 ], [ -97.904354,37.824492 ], [ -97.774518,37.824492 ], [ -97.774518,37.717691 ], [ -97.904354,37.717691 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c5be4b0a50a6e8f57bc","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":479980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gatotho, Jackline W.","contributorId":76616,"corporation":false,"usgs":true,"family":"Gatotho","given":"Jackline","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":479981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045751,"text":"70045751 - 2013 - Linking geology and health sciences to assess childhood lead poisoning from artisanal gold mining in Nigeria","interactions":[],"lastModifiedDate":"2013-06-24T09:58:06","indexId":"70045751","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1542,"text":"Environmental Health Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"Linking geology and health sciences to assess childhood lead poisoning from artisanal gold mining in Nigeria","docAbstract":"Background: In 2010, Médecins Sans Frontières discovered a lead poisoning outbreak linked to artisanal gold processing in northwestern Nigeria. The outbreak has killed approximately 400 young children and affected thousands more.\n\nObjectives: Our aim was to undertake an interdisciplinary geological- and health-science assessment to clarify lead sources and exposure pathways, identify additional toxicants of concern and populations at risk, and examine potential for similar lead poisoning globally.\n\nMethods: We applied diverse analytical methods to ore samples, soil and sweep samples from villages and family compounds, and plant foodstuff samples.\n\nResults: Natural weathering of lead-rich gold ores before mining formed abundant, highly gastric-bioaccessible lead carbonates. The same fingerprint of lead minerals found in all sample types confirms that ore processing caused extreme contamination, with up to 185,000 ppm lead in soils/sweep samples and up to 145 ppm lead in plant foodstuffs. Incidental ingestion of soils via hand-to-mouth transmission and of dusts cleared from the respiratory tract is the dominant exposure pathway. Consumption of water and foodstuffs contaminated by the processing is likely lesser, but these are still significant exposure pathways. Although young children suffered the most immediate and severe consequences, results indicate that older children, adult workers, pregnant women, and breastfed infants are also at risk for lead poisoning. Mercury, arsenic, manganese, antimony, and crystalline silica exposures pose additional health threats.\n\nConclusions: Results inform ongoing efforts in Nigeria to assess lead contamination and poisoning, treat victims, mitigate exposures, and remediate contamination. Ore deposit geology, pre-mining weathering, and burgeoning artisanal mining may combine to cause similar lead poisoning disasters elsewhere globally.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Health Perspectives","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Institute of Environmental Health Sciences","doi":"10.1289/ehp.1206051","usgsCitation":"Plumlee, G.S., Durant, J.T., Morman, S.A., Neri, A., Wolf, R.E., Dooyema, C.A., Hageman, P.L., Lowers, H., Fernette, G., Meeker, G.P., Benzel, W., Driscoll, R.L., Berry, C.J., Crock, J.G., Goldstein, H., Adams, M., Bartrem, C.L., Tirima, S., Behrooz, B., von Lindern, I., and Brown, M.J., 2013, Linking geology and health sciences to assess childhood lead poisoning from artisanal gold mining in Nigeria: Environmental Health Perspectives, v. 121, p. 744-750, https://doi.org/10.1289/ehp.1206051.","productDescription":"7 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Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":478262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durant, James T.","contributorId":26213,"corporation":false,"usgs":true,"family":"Durant","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":478268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and 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