{"pageNumber":"567","pageRowStart":"14150","pageSize":"25","recordCount":68919,"records":[{"id":70093921,"text":"ofr20141012 - 2014 - Combined multibeam and bathymetry data from Rhode Island Sound and Block Island Sound: a regional perspective","interactions":[],"lastModifiedDate":"2014-03-18T08:32:20","indexId":"ofr20141012","displayToPublicDate":"2014-03-14T07:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1012","title":"Combined multibeam and bathymetry data from Rhode Island Sound and Block Island Sound: a regional perspective","docAbstract":"Detailed bathymetric maps of the sea floor in Rhode Island and Block Island Sounds are of great interest to the New York, Rhode Island, and Massachusetts research and management communities because of this area's ecological, recreational, and commercial importance. Geologically interpreted digital terrain models from individual surveys provide important benthic environmental information, yet many applications of this information require a geographically broader perspective. For example, individual surveys are of limited use for the planning and construction of cross-sound infrastructure, such as cables and pipelines, or for the testing of regional circulation models. To address this need, we integrated 14 contiguous multibeam bathymetric datasets that were produced by the National Oceanic and Atmospheric Administration during charting operations into one digital terrain model that covers much of Block Island Sound and extends eastward across Rhode Island Sound. The new dataset, which covers over 1244 square kilometers, is adjusted to mean lower low water, gridded to 4-meter resolution, and provided in Universal Transverse Mercator Zone 19, North American Datum  of 1983 and geographic World Geodetic Survey of 1984 projections. This resolution is adequate for sea-floor feature and process interpretation but is small enough to be queried and manipulated with standard Geographic Information System programs and to allow for future growth. Natural features visible in the data include boulder lag deposits of winnowed Pleistocene strata, sand-wave fields, and scour depressions that reflect the strength of oscillating tidal currents and scour by storm-induced waves. Bedform asymmetry allows interpretations of net sediment transport. Anthropogenic features visible in the data include shipwrecks and dredged channels. Together the merged data reveal a larger, more continuous perspective of bathymetric topography than previously available, providing a fundamental framework for research and resource management activities offshore of Rhode Island.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141012","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"Poppe, L., McMullen, K.Y., Danforth, W.W., Blankenship, M.R., Clos, A.R., Glomb, K.A., Lewit, P.G., Nadeau, M.A., Wood, D.A., and Parker, C.E., 2014, Combined multibeam and bathymetry data from Rhode Island Sound and Block Island Sound: a regional perspective: U.S. Geological Survey Open-File Report 2014-1012, HTML Index, https://doi.org/10.3133/ofr20141012.","productDescription":"HTML Index","additionalOnlineFiles":"Y","ipdsId":"IP-051771","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":283988,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1012/title_page.html"},{"id":283990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141012.jpg"},{"id":283989,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1012/"}],"projection":"Universal Transverse Mercator Zone 19","datum":"NAD 83","country":"United States","state":"Rhode Island","otherGeospatial":"Block Island Sound;Rhode Island Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.0,41.083333 ], [ -72.0,41.416667 ], [ -71.0,41.416667 ], [ -71.0,41.083333 ], [ -72.0,41.083333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd51dae4b0b290850f4286","contributors":{"authors":[{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":490305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":24036,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[],"preferred":false,"id":490308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blankenship, Mark R.","contributorId":43270,"corporation":false,"usgs":true,"family":"Blankenship","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":490311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clos, Andrew R.","contributorId":101987,"corporation":false,"usgs":true,"family":"Clos","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":490314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glomb, Kimberly A.","contributorId":70283,"corporation":false,"usgs":true,"family":"Glomb","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490313,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewit, Peter G.","contributorId":69885,"corporation":false,"usgs":true,"family":"Lewit","given":"Peter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":490312,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nadeau, Megan A.","contributorId":32450,"corporation":false,"usgs":true,"family":"Nadeau","given":"Megan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490309,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, Douglas A.","contributorId":23415,"corporation":false,"usgs":true,"family":"Wood","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490307,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parker, Castleton E.","contributorId":41334,"corporation":false,"usgs":true,"family":"Parker","given":"Castleton","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490310,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70094537,"text":"sir20145033 - 2014 - Quantifying benthic nitrogen fluxes in Puget Sound, Washington: a review of available data","interactions":[],"lastModifiedDate":"2014-03-13T18:20:41","indexId":"sir20145033","displayToPublicDate":"2014-03-13T18:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5033","title":"Quantifying benthic nitrogen fluxes in Puget Sound, Washington: a review of available data","docAbstract":"Understanding benthic fluxes is important for understanding the fate of materials that settle to the Puget Sound, Washington, seafloor, as well as the impact these fluxes have on the chemical composition and biogeochemical cycles of marine waters. Existing approaches used to measure benthic nitrogen flux in Puget Sound and elsewhere were reviewed and summarized, and factors for considering each approach were evaluated. Factors for selecting an appropriate approach for gathering information about benthic flux include: availability of resources, objectives of projects, and determination of which processes each approach measures. An extensive search of literature was undertaken to summarize known benthic nitrogen fluxes in Puget Sound. A total of 138 individual flux chamber measurements and 38 sets of diffusive fluxes were compiled for this study. Of the diffusive fluxes, 35 new datasets were located, and new flux calculations are presented in this report. About 65 new diffusive flux calculations are provided across all nitrogen species (nitrate, NO<sub>3</sub><sup>-</sup>; nitrite, NO<sub>2</sub><sup>-</sup>; ammonium, NH<sub>4</sub><sup>+</sup>). Data analysis of this newly compiled benthic flux dataset showed that fluxes beneath deep (greater than 50 meters) water tended to be lower than those beneath shallow (less than 50 meters) water. Additionally, variability in flux at the shallow depths was greater, possibly indicating a more dynamic interaction between the benthic and pelagic environments. The overall range of bottom temperatures from studies in the Puget Sound area were small (5–16 degrees Celsius), and only NH<sub>4</sub><sup>+</sup> flux showed any pattern with temperature. For NH<sub>4</sub><sup>+</sup>, flux values and variability increased at greater than about 12 degrees Celsius. Collection of additional study site metadata about environmental factors (bottom temperature, depth, sediment porosity, sediment type, and sediment organic matter) will help with development of a broader regional understanding benthic nitrogen flux in the Puget Sound.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145033","issn":"2328-0328","usgsCitation":"Sheibley, R.W., and Paulson, A.J., 2014, Quantifying benthic nitrogen fluxes in Puget Sound, Washington: a review of available data: U.S. Geological Survey Scientific Investigations Report 2014-5033, vi, 44 p., https://doi.org/10.3133/sir20145033.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-051197","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":283987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145033.jpg"},{"id":283985,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5033"},{"id":283986,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5033/pdf/sir20145033.pdf"}],"scale":"500000","projection":"Lambert Conformal Conic Projection State Plane Washington South","datum":"North American Datum 1983","country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5,47.0 ], [ -123.5,48.0 ], [ -122.0,48.0 ], [ -122.0,47.0 ], [ -123.5,47.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6ec4e4b0b29085105fc6","contributors":{"authors":[{"text":"Sheibley, Richard W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":87452,"corporation":false,"usgs":true,"family":"Sheibley","given":"Richard","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paulson, Anthony J. 0000-0002-2358-8834 apaulson@usgs.gov","orcid":"https://orcid.org/0000-0002-2358-8834","contributorId":5236,"corporation":false,"usgs":true,"family":"Paulson","given":"Anthony","email":"apaulson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":490671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70093879,"text":"fs20143010 - 2014 - A framework for assessing water and proppant use and flowback water extraction associated with development of continuous petroleum resources","interactions":[],"lastModifiedDate":"2014-03-14T11:10:06","indexId":"fs20143010","displayToPublicDate":"2014-03-13T16:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3010","title":"A framework for assessing water and proppant use and flowback water extraction associated with development of continuous petroleum resources","docAbstract":"The U.S. Geological Survey is developing approaches for the quantitative assessment of water and proppant involved with possible future production of continuous petroleum deposits. The assessment approach is an extension of existing U.S. Geological Survey petroleum-assessment methods, and it aims to provide objective information that helps decision makers understand the tradeoffs inherent in resource-development decisions. This fact sheet provides an overview of U.S. Geological Survey assessments for quantities of water and proppant required for drilling and hydraulic fracturing and for flowback water extracted with petroleum; the report also presents the form of the intended assessment output information.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143010","issn":"2327-6932","usgsCitation":"Haines, S.S., Cook, T., Thamke, J., Davis, K.W., Long, A.J., Healy, R.W., Hawkins, S.J., and Engle, M.A., 2014, A framework for assessing water and proppant use and flowback water extraction associated with development of continuous petroleum resources: U.S. Geological Survey Fact Sheet 2014-3010, Report: 5 p.; Printed version, https://doi.org/10.3133/fs20143010.","productDescription":"Report: 5 p.; Printed version","numberOfPages":"5","onlineOnly":"N","ipdsId":"IP-051899","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":283983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143010.jpg"},{"id":283980,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3010/"},{"id":283981,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3010/pdf/fs2014-3010.pdf"},{"id":283982,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/fs/2014/3010/pdf/fs2014-3010print.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49d5e4b0b290850ef68d","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":490235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":490233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":490229,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":490234,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":490228,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70094917,"text":"fs20143014 - 2014 - The 3D Elevation Program: summary for Oregon","interactions":[],"lastModifiedDate":"2016-08-17T15:49:05","indexId":"fs20143014","displayToPublicDate":"2014-03-12T11:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3014","title":"The 3D Elevation Program: summary for Oregon","docAbstract":"<p>Elevation data are essential to a broad range of business uses, including forest resources management, wildlife and habitat management, national security, recreation, and many others. In the State of Oregon, elevation data are critical for river and stream resource management; forest resources management; water supply and quality; infrastructure and construction management; wildfire management, planning and response; natural resources conservation; and other business uses. Today, high-density light detection and ranging (lidar) data are the primary source for deriving elevation models and other datasets. The Oregon Lidar Consortium (OLC), led by the Oregon Department of Geology and Mineral Industries (DOGAMI), has developed partnerships with Federal, State, Tribal, and local agencies to acquire quality level 1 data in areas of shared interest. The goal of OLC partners is to acquire consistent, high-resolution and high-quality statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143014","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Oregon: U.S. Geological Survey Fact Sheet 2014-3014, 2 p., https://doi.org/10.3133/fs20143014.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054086","costCenters":[{"id":423,"text":"National Geospatial 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William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":490947,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70095555,"text":"70095555 - 2014 - Detection limits and cost comparisons of human- and gull-associated conventional and quantitative PCR assays in artificial and environmental waters","interactions":[],"lastModifiedDate":"2014-03-11T13:15:17","indexId":"70095555","displayToPublicDate":"2014-03-11T13:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Detection limits and cost comparisons of human- and gull-associated conventional and quantitative PCR assays in artificial and environmental waters","docAbstract":"Some molecular methods for tracking fecal pollution in environmental waters have both PCR and quantitative PCR (qPCR) assays available for use. To assist managers in deciding whether to implement newer qPCR techniques in routine monitoring programs, we compared detection limits (LODs) and costs of PCR and qPCR assays with identical targets that are relevant to beach water quality assessment. For human-associated assays targeting <i>Bacteroidales</i> HF183 genetic marker, qPCR LODs were 70 times lower and there was no effect of target matrix (artificial freshwater, environmental creek water, and environmental marine water) on PCR or qPCR LODs. The PCR startup and annual costs were the lowest, while the per reaction cost was 62% lower than the Taqman based qPCR and 180% higher than the SYBR based qPCR. For gull-associated assays, there was no significant difference between PCR and qPCR LODs, target matrix did not effect PCR or qPCR LODs, and PCR startup, annual, and per reaction costs were lower. Upgrading to qPCR involves greater startup and annual costs, but this increase may be justified in the case of the human-associated assays with lower detection limits and reduced cost per sample.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2014.01.029","usgsCitation":"Riedel, T.E., Zimmer-Faust, A.G., Thulsiraj, V., Madi, T., Hanley, K.T., Ebentier, D.L., Byappanahalli, M., Layton, B., Raith, M., Boehm, A., Griffith, J.F., Holden, P.A., Shanks, O.C., Weisberg, S., and Jay, J.A., 2014, Detection limits and cost comparisons of human- and gull-associated conventional and quantitative PCR assays in artificial and environmental waters: Journal of Environmental Management, v. 136, p. 112-120, https://doi.org/10.1016/j.jenvman.2014.01.029.","productDescription":"9 p.","startPage":"112","endPage":"120","numberOfPages":"9","ipdsId":"IP-051776","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":283837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283384,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2014.01.029"}],"volume":"136","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517033e4b05569d805a1b8","contributors":{"authors":[{"text":"Riedel, Timothy E.","contributorId":31301,"corporation":false,"usgs":true,"family":"Riedel","given":"Timothy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmer-Faust, Amity G.","contributorId":62517,"corporation":false,"usgs":true,"family":"Zimmer-Faust","given":"Amity","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":491292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thulsiraj, Vanessa","contributorId":69468,"corporation":false,"usgs":true,"family":"Thulsiraj","given":"Vanessa","email":"","affiliations":[],"preferred":false,"id":491293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madi, Tania","contributorId":95379,"corporation":false,"usgs":true,"family":"Madi","given":"Tania","email":"","affiliations":[],"preferred":false,"id":491295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanley, Kaitlyn T.","contributorId":72700,"corporation":false,"usgs":true,"family":"Hanley","given":"Kaitlyn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":491294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ebentier, Darcy L.","contributorId":13524,"corporation":false,"usgs":true,"family":"Ebentier","given":"Darcy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":491287,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Layton, Blythe","contributorId":14724,"corporation":false,"usgs":true,"family":"Layton","given":"Blythe","affiliations":[],"preferred":false,"id":491283,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raith, Meredith","contributorId":32443,"corporation":false,"usgs":true,"family":"Raith","given":"Meredith","affiliations":[],"preferred":false,"id":491285,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":491288,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Griffith, John F.","contributorId":41325,"corporation":false,"usgs":true,"family":"Griffith","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":491286,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holden, Patricia A.","contributorId":56090,"corporation":false,"usgs":true,"family":"Holden","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491291,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shanks, Orin C.","contributorId":51643,"corporation":false,"usgs":true,"family":"Shanks","given":"Orin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":491289,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Weisberg, Stephen B.","contributorId":11110,"corporation":false,"usgs":true,"family":"Weisberg","given":"Stephen B.","affiliations":[],"preferred":false,"id":491281,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jay, Jennifer A.","contributorId":55737,"corporation":false,"usgs":true,"family":"Jay","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491290,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70095788,"text":"70095788 - 2014 - Applying downscaled global climate model data to a hydrodynamic surface-water and groundwater model","interactions":[],"lastModifiedDate":"2014-03-11T12:58:56","indexId":"70095788","displayToPublicDate":"2014-03-11T12:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":725,"text":"American Journal of Climate Change","active":true,"publicationSubtype":{"id":10}},"title":"Applying downscaled global climate model data to a hydrodynamic surface-water and groundwater model","docAbstract":"Precipitation data from Global Climate Models have been downscaled to smaller regions. Adapting this downscaled precipitation data to a coupled hydrodynamic surface-water/groundwater model of southern Florida allows an examination of future conditions and their effect on groundwater levels, inundation patterns, surface-water stage and flows, and salinity. The downscaled rainfall data include the 1996-2001 time series from the European Center for Medium-Range Weather Forecasting ERA-40 simulation and both the 1996-1999 and 2038-2057 time series from two global climate models: the Community Climate System Model (CCSM) and the Geophysical Fluid Dynamic Laboratory (GFDL). Synthesized surface-water inflow datasets were developed for the 2038-2057 simulations. The resulting hydrologic simulations, with and without a 30-cm sea-level rise, were compared with each other and field data to analyze a range of projected conditions. Simulations predicted generally higher future stage and groundwater levels and surface-water flows, with sea-level rise inducing higher coastal salinities. A coincident rise in sea level, precipitation and surface-water flows resulted in a narrower inland saline/fresh transition zone. The inland areas were affected more by the rainfall difference than the sea-level rise, and the rainfall differences make little difference in coastal inundation, but a larger difference in coastal salinities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Climate Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Scientific Research Publishing Inc.","publisherLocation":"Irvine, CA","doi":"10.4236/ajcc.2014.31004","usgsCitation":"Swain, E., Stefanova, L., and Smith, T., 2014, Applying downscaled global climate model data to a hydrodynamic surface-water and groundwater model: American Journal of Climate Change, v. 3, no. 1, p. 33-49, https://doi.org/10.4236/ajcc.2014.31004.","productDescription":"17 p.","startPage":"33","endPage":"49","numberOfPages":"17","ipdsId":"IP-038872","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":473113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ajcc.2014.31004","text":"Publisher Index Page"},{"id":283835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283834,"type":{"id":15,"text":"Index Page"},"url":"https://www.scirp.org/journal/PaperInformation.aspx?PaperID=43632#.Ux9OwPRDuVM"},{"id":283774,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4236/ajcc.2014.31004"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.8998,24.5211 ], [ -82.8998,27.8146 ], [ 24.5211,27.8146 ], [ 24.5211,24.5211 ], [ -82.8998,24.5211 ] ] ] } } ] }","volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351701ee4b05569d805a156","contributors":{"authors":[{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":23347,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[],"preferred":false,"id":491434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stefanova, Lydia","contributorId":48300,"corporation":false,"usgs":true,"family":"Stefanova","given":"Lydia","email":"","affiliations":[],"preferred":false,"id":491436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Thomas","contributorId":46416,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","affiliations":[],"preferred":false,"id":491435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70057463,"text":"sir20135217 - 2014 - Water-quality trends for selected sampling sites in the upper Clark Fork Basin, Montana, water years 1996-2010","interactions":[],"lastModifiedDate":"2014-03-11T10:37:01","indexId":"sir20135217","displayToPublicDate":"2014-03-11T10:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5217","title":"Water-quality trends for selected sampling sites in the upper Clark Fork Basin, Montana, water years 1996-2010","docAbstract":"<p>A large-scale trend analysis was done on specific conductance, selected trace elements (arsenic, cadmium, copper, iron, lead, manganese, and zinc), and suspended-sediment data for 22 sites in the upper Clark Fork Basin for water years 1996–2010. Trend analysis was conducted by using two parametric methods: a time-series model (TSM) and multiple linear regression on time, streamflow, and season (MLR). Trend results for 1996–2010 indicate moderate to large decreases in flow-adjusted concentrations (FACs) and loads of copper (and other metallic elements) and suspended sediment in Silver Bow Creek upstream from Warm Springs. Deposition of metallic elements and suspended sediment within Warm Springs Ponds substantially reduces the downstream transport of those constituents. However, mobilization of copper and suspended sediment from floodplain tailings and stream banks in the Clark Fork reach from Galen to Deer Lodge is a large source of metallic elements and suspended sediment, which also affects downstream transport of those constituents. Copper and suspended-sediment loads mobilized from within this reach accounted for about 40 and 20 percent, respectively, of the loads for Clark Fork at Turah Bridge (site 20); whereas, streamflow contributed from within this reach only accounted for about 8 percent of the streamflow at Turah Bridge. Minor changes in FACs and loads of copper and suspended sediment are indicated for this reach during 1996–2010.</p>\n<br/>\n<p>Clark Fork reaches downstream from Deer Lodge are relatively smaller sources of metallic elements than the reach from Galen to Deer Lodge. In general, small decreases in loads and FACs of copper and suspended sediment are indicated for Clark Fork sites downstream from Deer Lodge during 1996–2010. Thus, although large decreases in FACs and loads of copper and suspended sediment are indicated for Silver Bow Creek upstream from Warm Springs, those large decreases are not translated to the more downstream reaches largely because of temporal stationarity in constituent transport relations in the Clark Fork reach from Galen to Deer Lodge.</p>\n<br/>\n<p>Unlike metallic elements, arsenic (a metalloid element) in streams in the upper Clark Fork Basin typically is mostly in dissolved phase, has less variability in concentrations, and has weaker direct relations with suspended-sediment concentrations and streamflow. Arsenic trend results for 1996–2010 indicate generally moderate decreases in FACs and loads in Silver Bow Creek upstream from Opportunity. In general, small temporal changes in loads and FACs of arsenic are indicated for Silver Bow Creek and Clark Fork reaches downstream from Opportunity during 1996–2010. Contribution of arsenic (from Warm Springs Ponds, the Mill-Willow bypass, and groundwater sources) in the Silver Bow Creek reach from Opportunity to Warm Springs is a relatively large source of arsenic. Arsenic loads originating from within this reach accounted for about 11 percent of the load for Clark Fork at Turah Bridge; whereas, streamflow contributed from within this reach only accounted for about 2 percent of the streamflow at Turah Bridge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135217","usgsCitation":"Sando, S.K., Vecchia, A.V., Lorenz, D.L., and Barnhart, E.P., 2014, Water-quality trends for selected sampling sites in the upper Clark Fork Basin, Montana, water years 1996-2010: U.S. Geological Survey Scientific Investigations Report 2013-5217, xiii, 162 p., https://doi.org/10.3133/sir20135217.","productDescription":"xiii, 162 p.","numberOfPages":"180","temporalStart":"1995-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-045334","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":283807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135217.jpg"},{"id":283806,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5217/pdf/sir13-5217.pdf"},{"id":283770,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5217/"}],"projection":"Universal Transverse Mercator Projection","datum":"North American Datum of 1927","country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.071,45.7493 ], [ -114.071,47.532 ], [ -112.1814,47.532 ], [ -112.1814,45.7493 ], [ -114.071,45.7493 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7d32e4b0b2908510f3b3","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":486779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486778,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048952,"text":"ds711 - 2014 - USGS Field Activities 11CEV01 and 11CEV02 on the West Florida Shelf, Gulf of Mexico, in January and February 2011","interactions":[],"lastModifiedDate":"2014-04-10T15:48:40","indexId":"ds711","displayToPublicDate":"2014-03-10T15:08:08","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"711","title":"USGS Field Activities 11CEV01 and 11CEV02 on the West Florida Shelf, Gulf of Mexico, in January and February 2011","docAbstract":"<p>During January and February 2011 the U.S. Geological Survey (USGS), in cooperation with the University of South Florida (USF), conducted geochemical surveys on the west Florida Shelf. Data collected will allow USGS and USF scientists to investigate the effects of climate change on ocean acidification within the northern Gulf of Mexico, specifically, the effect of ocean acidification on marine organisms and habitats. This work is part of a larger USGS study on Climate and Environmental Variability (CEV). The first cruise was conducted from January 3 – 7 (11CEV01) and the second from February 17 - 27 (11CEV02). To view each cruise's survey lines, please see the Trackline page. Both cruises took place aboard the R/V <i>Weatherbird II</i>, a ship of opportunity led by Dr. Kendra Daly (USF), which departed and returned from Saint Petersburg, Florida.</p>\n<br/>\n<p>Data collection included sampling of the surface and water column (referred to as station samples) with lab analysis of pH, dissolved inorganic carbon (DIC), and total alkalinity. Augmenting the lab analysis was a continuous flow-through system with a Conductivity-Temperature-Depth (CTD) sensor, which also recorded salinity, and pH. Corroborating the USGS data are the vertical CTD profiles collected by USF. The CTD casts measured continuous vertical profiles of oxygen, chlorophyll fluorescence, optical backscatter, and transmissometer. Discrete samples for nutrients, chlorophyll, and particulate organic carbon/nitrogen were also collected during the CTD casts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds711","usgsCitation":"Robbins, L.L., Knorr, P.O., Daly, K.L., and Taylor, C.A., 2014, USGS Field Activities 11CEV01 and 11CEV02 on the West Florida Shelf, Gulf of Mexico, in January and February 2011: U.S. Geological Survey Data Series 711, HTML Document, https://doi.org/10.3133/ds711.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-035577","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds711.jpg"},{"id":283783,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0711/"},{"id":286220,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0711/title.html"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Shelf;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.967,25.5722 ], [ -89.967,31.0059 ], [ -80.4639,31.0059 ], [ -80.4639,25.5722 ], [ -89.967,25.5722 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351706ce4b05569d805a426","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":485853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daly, Kendra L.","contributorId":79018,"corporation":false,"usgs":true,"family":"Daly","given":"Kendra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Carl A.","contributorId":9960,"corporation":false,"usgs":true,"family":"Taylor","given":"Carl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485854,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048055,"text":"70048055 - 2014 - Antecedent flow conditions and nitrate concentrations in the Mississippi River basin","interactions":[],"lastModifiedDate":"2014-06-04T11:15:54","indexId":"70048055","displayToPublicDate":"2014-03-10T09:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Antecedent flow conditions and nitrate concentrations in the Mississippi River basin","docAbstract":"The relationship between antecedent flow conditions and nitrate concentrations was explored at eight sites in the 2.9 million square kilometers (km<sup>2</sup>) Mississippi River basin, USA. Antecedent flow conditions were quantified as the ratio between the mean daily flow of the previous year and the mean daily flow from the period of record (Qratio), and the Qratio was statistically related to nitrate anomalies (the unexplained variability in nitrate concentration after filtering out season, long-term trend, and contemporaneous flow effects) at each site. Nitrate anomaly and Qratio were negatively related at three of the four major tributary sites and upstream in the Mississippi River, indicating that when mean daily streamflow during the previous year was lower than average, nitrate concentrations were higher than expected. The strength of these relationships increased when data were subdivided by contemporaneous flow conditions. Five of the eight sites had significant negative relationships (<i>p</i> ≤ 0.05) at high or moderately high contemporaneous flows, suggesting nitrate that accumulates in these basins during a drought is flushed during subsequent high flows. At half of the sites, when mean daily flow during the previous year was 50 percent lower than average, nitrate concentration can be from 9 to 27 percent higher than nitrate concentrations that follow a year with average mean daily flow. Conversely, nitrate concentration can be from 8 to 21 percent lower than expected when flow during the previous year was 50 percent higher than average. Previously documented for small, relatively homogenous basins, our results suggest that relationships between antecedent flows and nitrate concentrations are also observable at a regional scale. Relationships were not observed (using all contemporaneous flow data together) for basins larger than 1 million km<sup>2</sup>, suggesting that above this limit the overall size and diversity within these basins may necessitate the use of more complicated statistical approaches or that there may be no discernible basin-wide relationship with antecedent flow. The relationships between nitrate concentration and Qratio identified in this study serve as the basis for future studies that can better define specific hydrologic processes occurring during and after a drought (or high flow period) which influence nitrate concentration, such as the duration or magnitude of low flows, and the timing of low and high flows.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hydrology and Earth System Science","doi":"10.5194/hessd-10-11451-2013","usgsCitation":"Murphy, J.C., Hirsch, R.M., and Sprague, L.A., 2014, Antecedent flow conditions and nitrate concentrations in the Mississippi River basin: Hydrology and Earth System Sciences, p. 967-979, https://doi.org/10.5194/hessd-10-11451-2013.","productDescription":"13 p.","startPage":"967","endPage":"979","ipdsId":"IP-045515","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":473114,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-10-11451-2013","text":"Publisher Index Page"},{"id":288062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277439,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hessd-10-11451-2013"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53903fe4e4b04eea98bf84ed","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":483676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":483675,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095615,"text":"sir20145026 - 2014 - Evaluation of the expected moments algorithm and a multiple low-outlier test for flood frequency analysis at streamgaging stations in Arizona","interactions":[],"lastModifiedDate":"2014-03-07T07:50:45","indexId":"sir20145026","displayToPublicDate":"2014-03-07T07:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5026","title":"Evaluation of the expected moments algorithm and a multiple low-outlier test for flood frequency analysis at streamgaging stations in Arizona","docAbstract":"<p>Flooding is among the costliest natural disasters in terms of loss of life and property in Arizona, which is why the accurate estimation of flood frequency and magnitude is crucial for proper structural design and accurate floodplain mapping. Current guidelines for flood frequency analysis in the United States are described in Bulletin 17B (B17B), yet since B17B’s publication in 1982 (Interagency Advisory Committee on Water Data, 1982), several improvements have been proposed as updates for future guidelines. Two proposed updates are the Expected Moments Algorithm (EMA) to accommodate historical and censored data, and a generalized multiple Grubbs-Beck (MGB) low-outlier test. The current guidelines use a standard Grubbs-Beck (GB) method to identify low outliers, changing the determination of the moment estimators because B17B uses a conditional probability adjustment to handle low outliers while EMA censors the low outliers. B17B and EMA estimates are identical if no historical information or censored or low outliers are present in the peak-flow data. EMA with MGB (EMA-MGB) test was compared to the standard B17B (B17B-GB) method for flood frequency analysis at 328 streamgaging stations in Arizona. The methods were compared using the relative percent difference (RPD) between annual exceedance probabilities (AEPs), goodness-of-fit assessments, random resampling procedures, and Monte Carlo simulations. The AEPs were calculated and compared using both station skew and weighted skew. Streamgaging stations were classified by U.S. Geological Survey (USGS) National Water Information System (NWIS) qualification codes, used to denote historical and censored peak-flow data, to better understand the effect that nonstandard flood information has on the flood frequency analysis for each method. Streamgaging stations were also grouped according to geographic flood regions and analyzed separately to better understand regional differences caused by physiography and climate.</p>\n<br/>\n<p>The B17B-GB and EMA-MGB RPD-boxplot results showed that the median RPDs across all streamgaging stations for the 10-, 1-, and 0.2-percent AEPs, computed using station skew, were approximately zero. As the AEP flow estimates decreased (that is, from 10 to 0.2 percent AEP) the variability in the RPDs increased, indicating that the AEP flow estimate was greater for EMA-MGB when compared to B17B-GB. There was only one RPD greater than 100 percent for the 10- and 1-percent AEP estimates, whereas 19 RPDs exceeded 100 percent for the 0.2-percent AEP. At streamgaging stations with low-outlier data, historical peak-flow data, or both, RPDs ranged from −84 to 262 percent for the 0.2-percent AEP flow estimate. When streamgaging stations were separated by the presence of historical peak-flow data (that is, no low outliers or censored peaks) or by low outlier peak-flow data (no historical data), the results showed that RPD variability was greatest for the 0.2-AEP flow estimates, indicating that the treatment of historical and (or) low-outlier data was different between methods and that method differences were most influential when estimating the less probable AEP flows (1, 0.5, and 0.2 percent). When regional skew information was weighted with the station skew, B17B-GB estimates were generally higher than the EMA-MGB estimates for any given AEP. This was related to the different regional skews and mean square error used in the weighting procedure for each flood frequency analysis. The B17B-GB weighted skew analysis used a more positive regional skew determined in USGS Water Supply Paper 2433 (Thomas and others, 1997), while the EMA-MGB analysis used a more negative regional skew with a lower mean square error determined from a Bayesian generalized least squares analysis.</p>\n<br/>\n<p>Regional groupings of streamgaging stations reflected differences in physiographic and climatic characteristics. Potentially influential low flows (PILFs) were more prevalent in arid regions of the State, and generally AEP flows were larger with EMA-MGB than with B17B-GB for gaging stations with PILFs. In most cases EMA-MGB curves would fit the largest floods more accurately than B17B-GB. In areas of the State with more baseflow, such as along the Mogollon Rim and the White Mountains, streamgaging stations generally had fewer PILFs and more positive skews, causing estimated AEP flows to be larger with B17B-GB than with EMA-MGB. The effect of including regional skew was similar for all regions, and the observed pattern was increasingly greater B17B-GB flows (more negative RPDs) with each decreasing AEP quantile.</p>\n<br/>\n<p>A variation on a goodness-of-fit test statistic was used to describe each method’s ability to fit the largest floods. The mean absolute percent difference between the measured peak flows and the log-Pearson Type 3 (LP3)-estimated flows, for each method, was averaged over the 90th, 75th, and 50th percentiles of peak-flow data at each site. In most percentile subsets, EMA-MGB on average had smaller differences (1 to 3 percent) between the observed and fitted value, suggesting that the EMA-MGB-LP3 distribution is fitting the observed peak-flow data more precisely than B17B-GB. The smallest EMA-MGB percent differences occurred for the greatest 10 percent (90th percentile) of the peak-flow data. When stations were analyzed by USGS NWIS peak flow qualification code groups, the stations with historical peak flows and no low outliers had average percent differences as high as 11 percent greater for B17B-GB, indicating that EMA-MGB utilized the historical information to fit the largest observed floods more accurately.</p>\n<br/>\n<p>A resampling procedure was used in which 1,000 random subsamples were drawn, each comprising one-half of the observed data. An LP3 distribution was fit to each subsample using B17B-GB and EMA-MGB methods, and the predicted 1-percent AEP flows were compared to those generated from distributions fit to the entire dataset. With station skew, the two methods were similar in the median percent difference, but with weighted skew EMA-MGB estimates were generally better. At two gages where B17B-GB appeared to perform better, a large number of peak flows were deemed to be PILFs by the MGB test, although they did not appear to depart significantly from the trend of the data (step or dogleg appearance). At two gages where EMA-MGB performed better, the MGB identified several PILFs that were affecting the fitted distribution of the B17B-GB method.</p>\n<br/>\n<p>Monte Carlo simulations were run for the LP3 distribution using different skews and with different assumptions about the expected number of historical peaks. The primary benefit of running Monte Carlo simulations is that the underlying distribution statistics are known, meaning that the true 1-percent AEP is known. The results showed that EMA-MGB performed as well or better in situations where the LP3 distribution had a zero or positive skew and historical information. When the skew for the LP3 distribution was negative, EMA-MGB performed significantly better than B17B-GB and EMA-MGB estimates were less biased by more closely estimating the true 1-percent AEP for 1, 2, and 10 historical flood scenarios.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145026","collaboration":"Prepared in cooperation with the Flood Control District of Maricopa County","usgsCitation":"Paretti, N., Kennedy, J.R., and Cohn, T., 2014, Evaluation of the expected moments algorithm and a multiple low-outlier test for flood frequency analysis at streamgaging stations in Arizona: U.S. Geological Survey Scientific Investigations Report 2014-5026, Report: viii, 61 p.; Appendixes, https://doi.org/10.3133/sir20145026.","productDescription":"Report: viii, 61 p.; Appendixes","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040578","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":283442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145026.jpg"},{"id":283439,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5026/"},{"id":283440,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5026/pdf/sir2014-5026.pdf"},{"id":283441,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5026/downloads/sir2014-5026_Appendixes.xlsx"}],"projection":"Universal Transverse Mercator","datum":"North American datum 1983","country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd587ce4b0b290850f8200","contributors":{"authors":[{"text":"Paretti, Nicholas V. nparetti@usgs.gov","contributorId":802,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas V.","email":"nparetti@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":491330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":491332,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095536,"text":"70095536 - 2014 - Wetland Reserve Program enhances site occupancy and species richness in assemblages of anuran amphibians in the Mississippi Alluvial Valley, USA","interactions":[],"lastModifiedDate":"2019-06-05T14:59:18","indexId":"70095536","displayToPublicDate":"2014-03-06T14:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Wetland Reserve Program enhances site occupancy and species richness in assemblages of anuran amphibians in the Mississippi Alluvial Valley, USA","docAbstract":"We measured amphibian habitat use to quantify the effectiveness of conservation practices implemented under the Wetland Reserve Program (WRP), an initiative of the U.S. Department of Agriculture’s Natural Resources Conservation Service. From February to June 2007, we quantified calling male anurans in cultivated cropland, former cultivated cropland restored through the WRP, and mature bottomland hardwood forest. Sites were located in two watersheds within the Mississippi Alluvial Valley of Arkansas and Louisiana, USA. We estimated detection probability and site occupancy within each land use category using a Bayesian hierarchical model of community species occurrence, and derived an estimate of species richness at each site. Relative to sites in cultivated cropland, nine of 1 l species detected were significantly more likely to occur at WRP sites and six were more likely to occur at forested sites. Species richness estimates were also higher for WRP and forested sites, compared to those in cultivated cropland. Almost half (45 %) of the species responded positively to both WRP and forested sites, indicating that patches undergoing restoration may be important transitional habitats. Wetland Reserve Program conservation practices are successful in restoring suitable habitat and reducing the impact of cultivation-induced habitat loss on amphibians in the Mississippi Alluvial Valley.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer Netherlands","doi":"10.1007/s13157-013-0498-6","usgsCitation":"Walls, S., Waddle, J., and Faulkner, S.P., 2014, Wetland Reserve Program enhances site occupancy and species richness in assemblages of anuran amphibians in the Mississippi Alluvial Valley, USA: Wetlands, v. 34, no. 1, p. 197-207, https://doi.org/10.1007/s13157-013-0498-6.","productDescription":"11 p.","startPage":"197","endPage":"207","numberOfPages":"11","ipdsId":"IP-049031","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":283433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283431,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0498-6"}],"country":"United States","state":"Arkansas;Louisiana","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.47,29.48 ], [ -93.47,35.85 ], [ -87.91,35.85 ], [ -87.91,29.48 ], [ -93.47,29.48 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-03","publicationStatus":"PW","scienceBaseUri":"5351706fe4b05569d805a451","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":52284,"corporation":false,"usgs":true,"family":"Walls","given":"Susan C.","affiliations":[],"preferred":false,"id":491277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":89982,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[],"preferred":false,"id":491278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":491276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70057372,"text":"ds805 - 2014 - Atrazine reduces reproduction in fathead minnow (<i>Pimephales promelas</i>): raw data report","interactions":[],"lastModifiedDate":"2016-10-20T14:59:30","indexId":"ds805","displayToPublicDate":"2014-03-06T11:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"805","title":"Atrazine reduces reproduction in fathead minnow (<i>Pimephales promelas</i>): raw data report","docAbstract":"The herbicide, atrazine, routinely is observed in surface and groundwaters, particularly in the “corn belt” region, a high-use area of the United States. Atrazine has demonstrated effects on reproduction in mammals and amphibians, but the characterization of endocrine-related effects in fish has received only limited attention. Peak concentrations of atrazine in surface water of streams from these agricultural areas coincide with annual spawning events of native fishes. Consequently, there was an unacceptable level of uncertainty in our understanding of the risks associated with the periods of greatest atrazine exposure and greatest vulnerability of certain species of fishes. For this reason, a study of the effects of atrazine on fathead minnow reproduction was undertaken (Tillitt and others, 2010). This report provides the raw data from that study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds805","usgsCitation":"Tillitt, D.E., Papoulias, D.M., Whyte, J.J., and Richter, C.A., 2014, Atrazine reduces reproduction in fathead minnow (<i>Pimephales promelas</i>): raw data report: U.S. Geological Survey Data Series 805, iii, 136 p., https://doi.org/10.3133/ds805.","productDescription":"iii, 136 p.","numberOfPages":"144","onlineOnly":"Y","ipdsId":"IP-044472","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":283419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds805.jpg"},{"id":283417,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/805/"},{"id":283418,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/805/pdf/ds805.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e6ee4b0b290850f218a","contributors":{"authors":[{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whyte, Jeffrey J.","contributorId":100738,"corporation":false,"usgs":true,"family":"Whyte","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70068816,"text":"ds818 - 2014 - Quality of surface water in Missouri, water year 2012","interactions":[],"lastModifiedDate":"2016-08-10T11:14:27","indexId":"ds818","displayToPublicDate":"2014-03-05T11:17:06","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"818","title":"Quality of surface water in Missouri, water year 2012","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a series of monitoring stations on streams and springs throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2012 water year (October 1, 2011, through September 30, 2012), data were collected at 81 stations&mdash;73 Ambient Water-Quality Monitoring Network stations, 6 alternate Ambient Water-Quality Monitoring Network stations, and 2 U.S. Geological Survey National Stream Quality Accounting Network stations. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, fecal coliform bacteria, Escherichia coli bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 78 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and 7-day low flow is presented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds818","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., 2014, Quality of surface water in Missouri, water year 2012: U.S. Geological Survey Data Series 818, iv, 24 p., https://doi.org/10.3133/ds818.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051073","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":283383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds818.jpg"},{"id":283381,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/818/"},{"id":283382,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/818/pdf/ds818.pdf"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6ea1e4b0b29085105e7d","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488145,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70056140,"text":"sir20135201 - 2014 - Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York","interactions":[],"lastModifiedDate":"2014-07-11T12:42:53","indexId":"sir20135201","displayToPublicDate":"2014-03-05T09:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5201","title":"Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York","docAbstract":"A density-dependent groundwater flow and solute transport model of Manhasset Neck, Long Island, New York, was used to analyze (1) the effects of seasonal stress on the position of the freshwater/saltwater transition zone and (2) groundwater flowpaths. The following were used in the simulation: 182 transient stress periods, representing the historical record from 1920 to 2011, and 44 transient stress periods, representing future hypothetical conditions from 2011 to 2030. Simulated water-level and salinity (chloride concentration) values are compared with values from a previously developed two-stress-period (1905–1944 and 1945–2005) model. The 182-stress-period model produced salinity (chloride concentration) values that more accurately matched the observed salinity (chloride concentration) values in response to hydrologic stress than did the two-stress-period model, and salinity ranged from zero to about 3 parts per thousand (equivalent to zero to 1,660 milligrams per liter chloride). The 182-stress-period model produced improved calibration statistics of water-level measurements made throughout the study area than did the two-stress-period model, reducing the Lloyd aquifer root mean square error from 7.0 to 5.2 feet. Decreasing horizontal and vertical hydraulic conductivities (fixed anisotropy ratio) of the Lloyd and North Shore aquifers by 20 percent resulted in nearly doubling the simulated salinity(chloride concentration) increase at Port Washington observation well N12508. Groundwater flowpath analysis was completed for 24 production wells to delineate water source areas. The freshwater/saltwater transition zone moved toward and(or) away from wells during future hypothetical scenarios.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135201","collaboration":"Prepared in cooperation with the Town of North Hempstead and the New York State Department of Environmental Conservation","usgsCitation":"Misut, P., and Aphale, O., 2014, Simulation of groundwater flow pathlines and freshwater/saltwater transition zone movement, Manhasset Neck, Nassau County, New York (First posted March 5, 2014; Version 1.1, July 11, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5201, Report: vii, 44 p.; 2 Videos, https://doi.org/10.3133/sir20135201.","productDescription":"Report: vii, 44 p.; 2 Videos","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-034695","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":283379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135201.jpg"},{"id":283375,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5201/"},{"id":283377,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5201/video/sir2013-5201_video1.mp4"},{"id":283378,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5201/video/sir2013-5201_video2.mp4"},{"id":283376,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5201/pdf/sir2013-5201.pdf"}],"country":"United States","state":"New York","county":"Nassau County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.76,40.6 ], [ -73.76,41.0 ], [ -73.5,41.0 ], [ -73.5,40.6 ], [ -73.76,40.6 ] ] ] } } ] }","edition":"First posted March 5, 2014; Version 1.1, July 11, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517062e4b05569d805a3b1","contributors":{"authors":[{"text":"Misut, Paul","contributorId":93822,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","affiliations":[],"preferred":false,"id":486326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aphale, Omkar","contributorId":47695,"corporation":false,"usgs":true,"family":"Aphale","given":"Omkar","email":"","affiliations":[],"preferred":false,"id":486325,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074383,"text":"sir20135208 - 2014 - Digital surfaces and thicknesses of selected hydrogeologic units within the Ozark Plateaus aquifer system, northwestern Arkansas","interactions":[],"lastModifiedDate":"2014-03-05T09:26:17","indexId":"sir20135208","displayToPublicDate":"2014-03-05T09:16:14","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5208","title":"Digital surfaces and thicknesses of selected hydrogeologic units within the Ozark Plateaus aquifer system, northwestern Arkansas","docAbstract":"Digital surfaces and thicknesses of nine hydrogeologic units of the Ozark Plateaus aquifer system from land surface to the top of the Gunter Sandstone in northwestern Arkansas were created using geophysical logs, drillers’ logs, geologist-interpreted formation tops, and previously published maps. The 6,040 square mile study area in the Ozark Plateaus Province includes Benton, Washington, Carroll, Madison, Boone, Newton, Marion, and Searcy Counties. The top of each hydrogeologic unit delineated on geophysical logs was based partly on previously published reports and maps and also from drillers’ logs. These logs were then used as a basis to contour digital surfaces showing the top and thickness of the Fayetteville Shale, the Boone Formation, the Chattanooga Shale, the Everton Formation, the Powell Dolomite, the Cotter Dolomite, the Roubidoux Formation, the Gasconade Dolomite, and the Gunter Sandstone.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135208","usgsCitation":"Czarnecki, J.B., Bolyard, S., Hart, R.M., and Clark, J.M., 2014, Digital surfaces and thicknesses of selected hydrogeologic units within the Ozark Plateaus aquifer system, northwestern Arkansas: U.S. Geological Survey Scientific Investigations Report 2013-5208, Report: iv, 25 p.; Downloads Directory, https://doi.org/10.3133/sir20135208.","productDescription":"Report: iv, 25 p.; Downloads Directory","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-052411","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":283373,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5208/downloads/"},{"id":283374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135208.jpg"},{"id":283371,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5208/"},{"id":283372,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5208/pdf/sir2013-5208.pdf"}],"scale":"100000","country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,35 ], [ -95,36.75 ], [ -92,36.75 ], [ -92,35 ], [ -95,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5517e4b0b290850f61e8","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":489552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolyard, Susan E.","contributorId":47321,"corporation":false,"usgs":true,"family":"Bolyard","given":"Susan E.","affiliations":[],"preferred":false,"id":489555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70074340,"text":"ds823 - 2014 - Geophysical logging of bedrock wells for geothermal gradient characterization in New Hampshire, 2013","interactions":[],"lastModifiedDate":"2016-08-10T15:31:51","indexId":"ds823","displayToPublicDate":"2014-03-05T08:53:14","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"823","title":"Geophysical logging of bedrock wells for geothermal gradient characterization in New Hampshire, 2013","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the New Hampshire Geological Survey, measured the fluid temperature of groundwater and other geophysical properties in 10 bedrock wells in the State of New Hampshire in order to characterize geothermal gradients in bedrock. The wells selected for the study were deep (five ranging from 375 to 900 feet and five deeper than 900 feet) and 6 had low water yields, which correspond to low groundwater flow from fractures. This combination of depth and low water yield reduced the potential for flow-induced temperature changes that would mask the natural geothermal gradient in the bedrock. All the wells included in this study are privately owned, and permission to use the wells was obtained from landowners before geophysical logs were acquired for this study. National Institute of Standards and Technology thermistor readings were used to adjust the factory calibrated geophysical log data. A geometric correction to the gradient measurements was also necessary due to borehole deviation from vertical.</p>\n<p>Maximum groundwater temperatures at the bottom of the logs ranged from 11.2 to 15.4 degrees Celsius. Geothermal gradients were generally higher than those typically reported for other water wells in the United States. Some of the high gradients were associated with high natural gamma emissions. Groundwater flow was discernible in 4 of the 10 wells studied but only obscured the part of the geothermal gradient signal where groundwater actually flowed into, out of, or through the well. Temperature gradients varied by mapped bedrock type but can also vary by localized differences in mineralogy or rock type within the wells.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds823","collaboration":"Prepared in cooperation with the New Hampshire Geological Survey","usgsCitation":"Degnan, J.R., Barker, G., Olson, N., and Wilder, L., 2014, Geophysical logging of bedrock wells for geothermal gradient characterization in New Hampshire, 2013: U.S. Geological Survey Data Series 823, Report: vi, 19 p.; Log data, https://doi.org/10.3133/ds823.","productDescription":"Report: vi, 19 p.; Log data","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052633","costCenters":[{"id":466,"text":"New England Water Science 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Neil","contributorId":42845,"corporation":false,"usgs":true,"family":"Olson","given":"Neil","email":"","affiliations":[],"preferred":false,"id":489524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilder, Leland","contributorId":39252,"corporation":false,"usgs":true,"family":"Wilder","given":"Leland","email":"","affiliations":[],"preferred":false,"id":489523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70094668,"text":"fs20143018 - 2014 - The 1964 Great Alaska Earthquake and tsunamis: a modern perspective and enduring legacies","interactions":[],"lastModifiedDate":"2014-04-22T08:48:12","indexId":"fs20143018","displayToPublicDate":"2014-03-05T08:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3018","title":"The 1964 Great Alaska Earthquake and tsunamis: a modern perspective and enduring legacies","docAbstract":"The magnitude 9.2 Great Alaska Earthquake that struck south-central Alaska at 5:36 p.m. on Friday, March 27, 1964, is the largest recorded earthquake in U.S. history and the second-largest earthquake recorded with modern instruments. The earthquake was felt throughout most of mainland Alaska, as far west as Dutch Harbor in the Aleutian Islands some 480 miles away, and at Seattle, Washington, more than 1,200 miles to the southeast of the fault rupture, where the Space Needle swayed perceptibly. The earthquake caused rivers, lakes, and other waterways to slosh as far away as the coasts of Texas and Louisiana. Water-level recorders in 47 states—the entire Nation except for Connecticut, Delaware, and Rhode Island— registered the earthquake. It was so large that it caused the entire Earth to ring like a bell: vibrations that were among the first of their kind ever recorded by modern instruments. The Great Alaska Earthquake spawned thousands of lesser aftershocks and hundreds of damaging landslides, submarine slumps, and other ground failures. Alaska’s largest city, Anchorage, located west of the fault rupture, sustained heavy property damage. Tsunamis produced by the earthquake resulted in deaths and damage as far away as Oregon and California. Altogether the earthquake and subsequent tsunamis caused 129 fatalities and an estimated $2.3 billion in property losses (in 2013 dollars). Most of the population of Alaska and its major transportation routes, ports, and infrastructure lie near the eastern segment of the Aleutian Trench that ruptured in the 1964 earthquake. Although the Great Alaska Earthquake was tragic because of the loss of life and property, it provided a wealth of data about subductionzone earthquakes and the hazards they pose. The leap in scientific understanding that followed the 1964 earthquake has led to major breakthroughs in earth science research worldwide over the past half century. This fact sheet commemorates Great Alaska Earthquake and examines the advances in knowledge and technology that have helped to improve earthquake preparation and response both in Alaska and around the world.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143018","usgsCitation":"Brocher, T.M., Filson, J.R., Fuis, G.S., Haeussler, P.J., Holzer, T.L., Plafker, G., and Blair, J., 2014, The 1964 Great Alaska Earthquake and tsunamis: a modern perspective and enduring legacies: U.S. Geological Survey Fact Sheet 2014-3018, 6 p., https://doi.org/10.3133/fs20143018.","productDescription":"6 p.","ipdsId":"IP-053855","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":283366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143018.jpg"},{"id":283364,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3018/"},{"id":283365,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3018/pdf/fs2014-3018.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.2,55.2 ], [ -158.2,64.1 ], [ -137.2,64.1 ], [ -137.2,55.2 ], [ -158.2,55.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517066e4b05569d805a3e1","contributors":{"authors":[{"text":"Brocher, Thomas M. 0000-0002-9740-839X brocher@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":262,"corporation":false,"usgs":true,"family":"Brocher","given":"Thomas","email":"brocher@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":490788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Filson, John R. 0000-0001-8840-6301 jfilson@usgs.gov","orcid":"https://orcid.org/0000-0001-8840-6301","contributorId":5078,"corporation":false,"usgs":true,"family":"Filson","given":"John","email":"jfilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":490793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":490790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":490789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holzer, Thomas L. tholzer@usgs.gov","contributorId":2829,"corporation":false,"usgs":true,"family":"Holzer","given":"Thomas","email":"tholzer@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":490791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Plafker, George","contributorId":3920,"corporation":false,"usgs":false,"family":"Plafker","given":"George","email":"","affiliations":[],"preferred":false,"id":490792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blair, J. Luke","contributorId":102573,"corporation":false,"usgs":true,"family":"Blair","given":"J. Luke","affiliations":[],"preferred":false,"id":490794,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70094909,"text":"ofr20141038 - 2014 - Passage and survival probabilities of juvenile Chinook salmon at Cougar Dam, Oregon, 2012","interactions":[],"lastModifiedDate":"2014-03-04T08:49:20","indexId":"ofr20141038","displayToPublicDate":"2014-03-03T16:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1038","title":"Passage and survival probabilities of juvenile Chinook salmon at Cougar Dam, Oregon, 2012","docAbstract":"<p>This report describes studies of juvenile-salmon dam passage and apparent survival at Cougar Dam, Oregon, during two operating conditions in 2012. Cougar Dam is a 158-meter tall rock-fill dam used primarily for flood control, and passes water through a temperature control tower to either a powerhouse penstock or to a regulating outlet (RO). The temperature control tower has moveable weir gates to enable water of different elevations and temperatures to be drawn through the dam to control water temperatures downstream. A series of studies of downstream dam passage of juvenile salmonids were begun after the National Oceanic and Atmospheric Administration determined that Cougar Dam was impacting the viability of anadromous fish stocks. The primary objectives of the studies described in this report were to estimate the route-specific fish passage probabilities at the dam and to estimate the survival probabilities of fish passing through the RO. The first set of dam operating conditions, studied in November, consisted of (1) a mean reservoir elevation of 1,589 feet, (2) water entering the temperature control tower through the weir gates, (3) most water routed through the turbines during the day and through the RO during the night, and (4) mean RO gate openings of 1.2 feet during the day and 3.2 feet during the night. The second set of dam operating conditions, studied in December, consisted of (1) a mean reservoir elevation of 1,507 ft, (2) water entering the temperature control tower through the RO bypass, (3) all water passing through the RO, and (4) mean RO gate openings of 7.3 feet during the day and 7.5 feet during the night. The studies were based on juvenile Chinook salmon (Oncorhynchus tshawytscha) surgically implanted with radio transmitters and passive integrated transponder (PIT) tags. Inferences about general dam passage percentage and timing of volitional migrants were based on surface-acclimated fish released in the reservoir. Dam passage and apparent survival probabilities were estimated using the Route-Specific-Survival Model with data from surface-acclimated fish released near the water surface directly upstream of the temperature control tower (treatment group) and slightly downstream of the dam (control group). In this study, apparent survival is the joint probability of surviving and migrating through the study area during the life of the transmitters.</p>\n<br/>\n<p>Two rearing groups were used to enable sufficient sample sizes for the studies. The groups differed in feed type, and for the December study only, the rearing location. Fish from each group were divided nearly equally among all combinations of release sites, release times, and surgeons. The sizes, travel times, and survivals of the two rearing groups were similar. There were statistical differences in fish lengths and travel times of the two groups, but they were small and likely were not biologically meaningful. There also was evidence of a difference in single-release estimates of survival between the rearing groups during the December study, but the differences had little effect on the relative survival estimates so the analyses of passage and survival were based on data from the rearing groups pooled.</p>\n<br/>\n<p>Conditions during the December study were more conducive to passing volitionally migrating fish than conditions during the November study. The passage percentage of the fish released in the reservoir was similar between studies (about 70 percent), but the passage occurred in a median of 1.0 day during the December study and a median of 9.3 days during the November study. More than 93 percent of the dam passage of volitionally migrating fish occurred at night during each study. This finding corroborates results of previous studies at Cougar Dam and suggests that the operating conditions at night are most important to volitionally migrating fish, given the current configuration of the dam.</p>\n<br/>\n<p>Most fish released near the temperature control tower passed through the RO. A total of 92.2 percent of the treatment group passed through the RO during the November study and the RO was the only route open during the December study.</p>\n<br/>\n<p>The assumptions of the survival model were either met or adjusted for during each study. There was little evidence that tagger skill or premature failure of radio transmitters had an effect on survival estimates. There were statistically significant differences in travel times between treatment and control groups through several of the river reaches they had in common, but the differences were typically only a few hours, and the two groups likely experienced the same in-river conditions. There was direct evidence of bias due to detection of euthanized fish with live transmitters released as part of the study design. The bias was ameliorated by adjusting the survival estimates for the probability of detecting dead fish with live transmitters, which reduced the estimated survival probabilities by about 0.02.</p>\n<br/>\n<p>The data and models indicated that the treatment effect was not fully expressed until the study reach terminating with Marshall Island Park on the Willamette River, a distance of 105.8 kilometers downstream of Cougar Dam. This was the first reach in which the 95-percent confidence interval of the estimated reach-specific relative survival overlapped 1.0, indicating similar survival of treatment and control groups. The median travel time of the treatment group from release to Marshall Island Park was 1.64 days during the November study and 1.36 days during the December study.</p>\n<br/>\n<p>The survival probability of fish that passed into the RO was greater during the December study than during the November study. The relative survival probability of fish passing through the RO was 0.4594 (standard error [SE] 0.0543) during the November study and 0.7389 (SE 0.1160) during the December study. These estimates represent relative survival probabilities from release near Cougar Dam to the Marshall Island site.</p>\n<br/>\n<p>The estimated survival probability of RO passage was lower than previous studies based on balloon and PIT tags, but higher than a similar study based on radio transmitters. We suggest that, apart from dam operations, the differences in survival primarily are due to the release location. We hypothesize that the balloon- and PIT-tagged fish released through a hose at a point near the RO gate opening experienced more benign conditions than the radio-tagged fish passing the RO volitionally. This hypothesis could be tested with further study. An alternative hypothesis is that some live fish remained within the study area beyond the life of their radio transmitter.</p>\n<br/>\n<p>The results from these and previous studies indicate that entrainment and survival of juvenile salmonids passing Cougar Dam varies with dam operating conditions. The condition most conducive to dam passage has been the discharge and low pool elevation condition tested during December 2012. That condition included large RO gate openings and was the condition with the highest dam passage survival.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141038","issn":"2331-1258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Evans, S.D., Haner, P.V., Hansel, H.C., Hansen, A.C., Smith, C., and Sprando, J.M., 2014, Passage and survival probabilities of juvenile Chinook salmon at Cougar Dam, Oregon, 2012: U.S. Geological Survey Open-File Report 2014-1038, vi, 64 p., https://doi.org/10.3133/ofr20141038.","productDescription":"vi, 64 p.","numberOfPages":"74","onlineOnly":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-049334","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":283195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141038.jpg"},{"id":283194,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1038/pdf/ofr2014-1038.pdf"},{"id":283193,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1038/"}],"country":"United States","state":"Oregon","otherGeospatial":"Cougar Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7449,43.356 ], [ -122.7449,44.9 ], [ -121.768,44.9 ], [ -121.768,43.356 ], [ -122.7449,43.356 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6aa9e4b0b2908510367f","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":7915,"corporation":false,"usgs":true,"family":"Smith","given":"Collin D.","email":"cdsmith@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":490931,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sprando, Jamie M. jsprando@usgs.gov","contributorId":4005,"corporation":false,"usgs":true,"family":"Sprando","given":"Jamie","email":"jsprando@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":490928,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70093762,"text":"ofr20141028 - 2014 - Contaminants of emerging concern in the lower Stillaguamish River Basin, Washington, 2008-11","interactions":[],"lastModifiedDate":"2016-06-06T09:02:27","indexId":"ofr20141028","displayToPublicDate":"2014-03-03T15:51:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1028","title":"Contaminants of emerging concern in the lower Stillaguamish River Basin, Washington, 2008-11","docAbstract":"<p>A series of discrete water-quality samples were collected in the lower Stillaguamish River Basin near the city of Arlington, Washington, through a partnership with the Stillaguamish Tribe of Indians. These samples included surface waters of the Stillaguamish River, adjacent tributary streams, and paired inflow and outflow sampling at three wastewater treatment plants in the lower river basin. Chemical analysis of these samples focused on chemicals of emerging concern, including wastewater compounds, human-health pharmaceuticals, steroidal hormones, and halogenated organic compounds on solids and sediment. This report presents the methods used and data results from the chemical analysis of these samples</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141028","issn":"2327-638X","collaboration":"Prepared in cooperation with the Stillaguamish Tribe of Indians","usgsCitation":"Wagner, R.J., Moran, P.W., Zaugg, S.D., Sevigny, J.M., and Pope, J.M., 2014, Contaminants of emerging concern in the lower Stillaguamish River Basin, Washington, 2008-11 (Version 1.0: Originally posted March 3, 2014; Version 2.0: June 3, 2016): U.S. Geological Survey Open-File Report 2014-1028, Report: vi, 14 p.; 20 Tables, https://doi.org/10.3133/ofr20141028.","productDescription":"Report: vi, 14 p.; 20 Tables","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-040609","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":283191,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141028.PNG"},{"id":322167,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table04.xlsx","text":"Table 4"},{"id":322168,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table05.xlsx","text":"Table 5"},{"id":322169,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table06.xlsx","text":"Table 6"},{"id":322170,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table07.xlsx","text":"Table 7"},{"id":322171,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table08.xlsx","text":"Table 8"},{"id":322172,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table09.xlsx","text":"Table 9"},{"id":322173,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table10.xlsx","text":"Table 10"},{"id":322174,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA1.xlsx","text":"Table A1"},{"id":322175,"rank":14,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA2.xlsx","text":"Table A2"},{"id":322176,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA3.xlsx","text":"Table A3"},{"id":322177,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA4.xlsx","text":"Table A4"},{"id":322178,"rank":17,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableA5.xlsx","text":"Table A5"},{"id":322179,"rank":18,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB1.xlsx","text":"Table B1"},{"id":322180,"rank":19,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB2.xlsx","text":"Table B2"},{"id":322181,"rank":20,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB3.xlsx","text":"Table B3"},{"id":322182,"rank":21,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB4.xlsx","text":"Table B4"},{"id":322183,"rank":22,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB5.xlsx","text":"Table B5"},{"id":322184,"rank":23,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_tableB6.xlsx","text":"Table B6"},{"id":322185,"rank":24,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1028/versionHist.txt","text":"Revised June 3, 2016"},{"id":283186,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1028/"},{"id":283190,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1028/pdf/ofr2014-1028.pdf"},{"id":322165,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table02.xlsx","text":"Table 2"},{"id":322166,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2014/1028/downloads/ofr2014-1028_table03.xlsx","text":"Table 3"}],"projection":"Transverse Mercator projection","datum":"Northern American Datum of 1983","country":"United States","state":"Washington","otherGeospatial":"Stillaguasmish River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.333333,48.0 ], [ -122.333333,48.5 ], [ -121.5,48.5 ], [ -121.5,48.0 ], [ -122.333333,48.0 ] ] ] } } ] }","edition":"Version 1.0: Originally posted March 3, 2014; Version 2.0: June 3, 2016","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd52ace4b0b290850f4aba","contributors":{"authors":[{"text":"Wagner, Richard J. rjwagner@usgs.gov","contributorId":3122,"corporation":false,"usgs":true,"family":"Wagner","given":"Richard","email":"rjwagner@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":490200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sevigny, Jennifer M.","contributorId":36452,"corporation":false,"usgs":true,"family":"Sevigny","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Judy M.","contributorId":93377,"corporation":false,"usgs":true,"family":"Pope","given":"Judy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490203,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70057598,"text":"70057598 - 2014 - Sex in the Suwannee, the secretive love life of Gulf Sturgeons","interactions":[],"lastModifiedDate":"2017-05-24T13:53:53","indexId":"70057598","displayToPublicDate":"2014-03-03T15:31:37","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":711,"text":"American Currents","active":true,"publicationSubtype":{"id":10}},"title":"Sex in the Suwannee, the secretive love life of Gulf Sturgeons","docAbstract":"<p>Mid-February in the Gulf of Mexico and a timeless ritual is about to repeat itself for perhaps the millionth time. Some mysterious signal, possibly increasing day length, flips an internal switch, feeding stops, and the homeward migration begins for the Gulf Sturgeon (<i>Acipenser oxyrinchus desotoi</i>). From far flung places along the Gulf Coast, Gulf Sturgeons start heading back to their natal rivers – they know the way instinctively. Maybe they seek out the special chemical taste of their home river, imprinted at hatching. Or perhaps the ultrasensitive electric organs decorating the underside of the snout can follow the map of the earth’s magnetic field. Either way, time to make a beeline for the welcoming waters of the Suwannee River, or maybe the Apalachicola, Choctawhatchee, or one of four other spawning rivers. Some of the adults are on a special mission – time to spawn, time to perpetuate the species. Mature males form the first wave in this homebound marathon, eager to get to the spawning grounds, eager to be the first to greet ready females with a series of sharp clicking sounds. Only spawning once each three years, females laden with large black eggs demure, taking their time, arriving in mid to late March, a month behind the early males. But most sturgeons, juveniles and immature adults not ready to spawn, are simply heading home. Not prompted by the spawning urge, they are just following the ancient annual cycle of intense winter feeding in the Gulf, followed by several months of fasting and R&amp;R in the river. </p>","language":"English","publisher":"North American Native Fishes Association","usgsCitation":"Sulak, K.J., 2014, Sex in the Suwannee, the secretive love life of Gulf Sturgeons: American Currents, v. 39, no. 3, p. 22-24.","productDescription":"3 p.","startPage":"22","endPage":"24","ipdsId":"IP-044494","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":341668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341667,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nanfa.org/ac2.shtml"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.24169921875,\n              32.30570601389429\n            ],\n            [\n              -90.37353515625,\n              31.952162238024975\n            ],\n            [\n              -90.37353515625,\n              30.845647420182598\n            ],\n            [\n              -90.37353515625,\n              30.240086360983426\n            ],\n            [\n              -90.3076171875,\n              29.783449456820605\n            ],\n            [\n              -89.7802734375,\n              29.668962525992505\n            ],\n            [\n              -89.31884765624999,\n              29.726222319395504\n            ],\n            [\n              -88.83544921874999,\n              29.859701442126756\n            ],\n            [\n              -88.08837890625,\n              29.859701442126756\n            ],\n            [\n              -87.42919921875,\n              29.859701442126756\n            ],\n            [\n              -87.07763671875,\n              29.878755346037977\n            ],\n            [\n              -86.37451171875,\n              29.878755346037977\n            ],\n            [\n              -85.8251953125,\n              29.649868677972304\n            ],\n            [\n              -85.3857421875,\n              29.286398892934763\n            ],\n            [\n              -84.74853515625,\n              29.36302703778376\n            ],\n            [\n              -84.1552734375,\n              29.401319510041485\n            ],\n            [\n              -83.34228515625,\n              29.132970130878636\n            ],\n            [\n              -82.3974609375,\n              29.32472016151103\n            ],\n            [\n              -82.2216796875,\n              30.012030680358613\n            ],\n            [\n              -82.353515625,\n              30.543338954230222\n            ],\n            [\n              -82.5732421875,\n              31.071755902820133\n            ],\n            [\n              -82.68310546875,\n              31.765537409484374\n            ],\n            [\n              -83.232421875,\n              31.98944183792288\n            ],\n            [\n              -84.00146484374999,\n              32.008075959291055\n            ],\n            [\n              -84.83642578125,\n              31.98944183792288\n            ],\n            [\n              -85.67138671875,\n              32.008075959291055\n            ],\n            [\n              -86.63818359375,\n              32.02670629333614\n            ],\n            [\n              -87.62695312499999,\n              32.045332838858506\n            ],\n            [\n              -88.505859375,\n              32.08257455954592\n            ],\n            [\n              -89.3408203125,\n              32.194208672875384\n            ],\n            [\n              -89.97802734375,\n              32.194208672875384\n            ],\n            [\n              -90.24169921875,\n              32.30570601389429\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59269bb7e4b0b7ff9fb48973","contributors":{"authors":[{"text":"Sulak, Kenneth J. 0000-0002-4795-9310 ksulak@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-9310","contributorId":2217,"corporation":false,"usgs":true,"family":"Sulak","given":"Kenneth","email":"ksulak@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":518388,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093612,"text":"70093612 - 2014 - Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags","interactions":[],"lastModifiedDate":"2014-03-31T09:50:11","indexId":"70093612","displayToPublicDate":"2014-03-03T13:50:00","publicationYear":"2014","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":"Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags","docAbstract":"We evaluated the performance of small (12.5 mm long) passive integrated transponder (PIT) tags and custom detection antennas for obtaining fine-scale movement and demographic data of mummichog Fundulus heteroclitus in a salt marsh creek. Apparent survival and detection probability were estimated using a Cormack Jolly Seber (CJS) model fitted to detection data collected by an array of 3 vertical antennas from November 2010 to March 2011 and by a single horizontal antenna from April to August 2011. Movement of mummichogs was monitored during the period when the array of vertical antennas was used. Antenna performance was examined in situ using tags placed in wooden dowels (drones) and in live mummichogs. Of the 44 tagged fish, 42 were resighted over the 9 mo monitoring period. The in situ detection probabilities of the drone and live mummichogs were high (~80-100%) when the ambient water depth was less than ~0.8 m. Upstream and downstream movement of mummichogs was related to hourly water depth and direction of tidal current in a way that maximized time periods over which mummichogs utilized the intertidal vegetated marsh. Apparent survival was lower during periods of colder water temperatures in December 2010 and early January 2011 (median estimate of daily apparent survival = 0.979) than during other periods of the study (median estimate of daily apparent survival = 0.992). During late fall and winter, temperature had a positive effect on the CJS detection probability of a tagged mummichog, likely due to greater fish activity over warmer periods. During the spring and summer, this pattern reversed possibly due to mummichogs having reduced activity during the hottest periods. This study demonstrates the utility of PIT tags and continuously operating autonomous detection systems for tracking fish at fine temporal scales, and improving estimates of demographic parameters in salt marsh creeks that are difficult or impractical to sample with active fishing gear.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10656","usgsCitation":"Rudershausen, P.J., Buckel, J.A., Dubreuil, T., O’Donnell, M.J., Hightower, J.E., Poland, S.J., and Letcher, B., 2014, Estimating movement and survival rates of a small saltwater fish using autonomous antenna receiver arrays and passive integrated transponder tags: Marine Ecology Progress Series, v. 499, p. 177-192, https://doi.org/10.3354/meps10656.","productDescription":"16 p.","startPage":"177","endPage":"192","numberOfPages":"16","temporalStart":"2010-11-01","temporalEnd":"2011-08-31","ipdsId":"IP-044977","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473124,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10656","text":"Publisher Index Page"},{"id":285124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282316,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10656"}],"volume":"499","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517037e4b05569d805a1ea","contributors":{"authors":[{"text":"Rudershausen, Paul J.","contributorId":43669,"corporation":false,"usgs":true,"family":"Rudershausen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckel, Jeffery A.","contributorId":42872,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubreuil, Todd","contributorId":36457,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[],"preferred":false,"id":490082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Matthew J. 0000-0002-9089-2377 modonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":2003,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"modonnell@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":490079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poland, Steven J.","contributorId":77455,"corporation":false,"usgs":true,"family":"Poland","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":24774,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490081,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202701,"text":"70202701 - 2014 - Significance of carbon dioxide density estimates for basin-scale storage resource assessments","interactions":[],"lastModifiedDate":"2019-03-19T12:34:41","indexId":"70202701","displayToPublicDate":"2014-03-03T12:21:19","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Significance of carbon dioxide density estimates for basin-scale storage resource assessments","title":"Significance of carbon dioxide density estimates for basin-scale storage resource assessments","docAbstract":"<p><span>The geologic carbon dioxide (CO</span><sub>2</sub><span>) storage resource size is a function of the density of CO</span><sub>2</sub><span>&nbsp;in the subsurface. The pressure and temperature of the storage reservoir at depth affect the CO</span><sub>2</sub><span>&nbsp;density. Therefore, knowing these subsurface conditions allows for improved resource estimates of potential geologic CO</span><sub>2</sub><span>&nbsp;storage capacity. In 2012, the U.S. Geological Survey (USGS) completed an assessment of geologic CO</span><sub>2</sub><span>&nbsp;storage resources for large sedimentary basins in onshore and State waters areas of the U.S. Evaluating the subsurface conditions and CO</span><sub>2</sub><span>&nbsp;density in these basins was integral to the assessment. To better understand these conditions, investigations of pressure and temperature gradients, typically derived from borehole data and analog studies, were assembled at the basin scale. Based on the USGS assessment results and findings here, changes in subsurface pressure and temperature may yield density changes up to 40 percent, which may translate into significant changes in storage resource estimates.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2014.11.543","issn":"1876-6102","usgsCitation":"Buursink, M.L., 2014, Significance of carbon dioxide density estimates for basin-scale storage resource assessments: Energy Procedia, v. 63, p. 5130-5140, https://doi.org/10.1016/j.egypro.2014.11.543.","productDescription":"11 p.","startPage":"5130","endPage":"5140","numberOfPages":"11","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473127,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2014.11.543","text":"Publisher Index Page"},{"id":362179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buursink, Marc L. 0000-0001-6491-386X mbuursink@usgs.gov","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":3362,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc","email":"mbuursink@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759542,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093690,"text":"sir20145005 - 2014 - Occurrence and origin of <i>Escherichia coli</i> in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13","interactions":[],"lastModifiedDate":"2014-03-04T08:51:40","indexId":"sir20145005","displayToPublicDate":"2014-03-03T10:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5005","title":"Occurrence and origin of <i>Escherichia coli</i> in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13","docAbstract":"<p>In the past several years, the Missouri Department of Natural Resources has closed two popular public beaches, Grand Glaize Beach and Public Beach 1, at Lake of the Ozarks State Park in Osage Beach, Missouri when monitoring results exceeded the established Escherichia coli (E. coli) standard. As a result of the beach closures, the U.S. Geological Survey and Missouri University of Science and Technology, in cooperation with the Missouri Department of Natural Resources, led an investigation into the occurrence and origins of E. coli at Grand Glaize Beach and Public Beach 1. The study included the collection of more than 1,300 water, sediment, and fecal source samples between August 2011 and February 2013 from the two beaches and vicinity. Spatial and temporal patterns of E. coli concentrations in water and sediments combined with measurements of environmental variables, beach-use patterns, and Missouri Department of Natural Resources water-tracing results were used to identify possible sources of E. coli contamination at the two beaches and to corroborate microbial source tracking (MST) sampling efforts.</p>\n<br/>\n<p>Results from a 2011 reconnaissance sampling indicate that water samples from Grand Glaize Beach cove contained significantly larger E. coli concentrations than adjacent coves and were largest at sites at the upper end of Grand Glaize Beach cove, indicating a probable local source of E. coli contamination within the upper end of the cove. Results from an intensive sampling effort during 2012 indicated that E. coli concentrations in water samples at Grand Glaize Beach cove were significantly larger in ankle-deep water than waist-deep water, trended downward during the recreational season, significantly increased with an increase in the total number of bathers at the beach, and were largest during the middle of the day. Concentrations of E. coli in nearshore sediment (sediment near the shoreline) at Grand Glaize Beach were significantly larger in foreshore samples (samples collected above the shoreline) than in samples collected in ankle-deep water below the shoreline, significantly larger in the left and middle areas of the beach than the right area, and substantially larger than similar studies at E. coli- contaminated beaches on Lake Erie in Ohio. Concentrations of E. coli in the water column also were significantly larger after resuspension of sediments.</p>\n<br/>\n<p>Results of MST indicate a predominance of waterfowl-associated markers in nearshore sediments at Grand Glaize Beach consistent with frequent observations of goose and vulture fecal matter in sediment, especially on the left and middle areas of the beach. The combination of spatial and temporal sampling and MST indicate that an important source of E. coli contamination at Grand Glaize Beach during 2012 was E. coli released into the water column by bathers resuspending E. coli-contaminated sediments, especially during high-use days early in the recreational season.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145005","issn":"2328–0328","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Wilson, J.L., Schumacher, J., and Burken, J.G., 2014, Occurrence and origin of <i>Escherichia coli</i> in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13: U.S. Geological Survey Scientific Investigations Report 2014-5005, x, 59 p., https://doi.org/10.3133/sir20145005.","productDescription":"x, 59 p.","numberOfPages":"74","onlineOnly":"Y","temporalStart":"2011-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-051174","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":283140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145005.jpg"},{"id":283138,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5005/"},{"id":283139,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5005/pdf/sir2014-5005.pdf"}],"scale":"250000","projection":"Universal Transverse Mercator Projection","country":"United States","state":"Missouri","county":"Camden County","otherGeospatial":"Lake Of The Ozarks State Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.666667,38.0 ], [ -92.666667,38.25 ], [ -92.5,38.25 ], [ -92.5,38.0 ], [ -92.666667,38.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd69aae4b0b29085102c62","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumacher, John G. jschu@usgs.gov","contributorId":2055,"corporation":false,"usgs":true,"family":"Schumacher","given":"John G.","email":"jschu@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burken, Joel G.","contributorId":21218,"corporation":false,"usgs":true,"family":"Burken","given":"Joel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":490151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70158600,"text":"70158600 - 2014 - Using cure models for analyzing the influence of pathogens on salmon survival","interactions":[],"lastModifiedDate":"2019-12-11T13:17:24","indexId":"70158600","displayToPublicDate":"2014-03-03T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using cure models for analyzing the influence of pathogens on salmon survival","docAbstract":"<p>Parasites and pathogens influence the size and stability of wildlife populations, yet many population models ignore the population-level effects of pathogens. Standard survival analysis methods (e.g., accelerated failure time models) are used to assess how survival rates are influenced by disease. However, they assume that each individual is equally susceptible and will eventually experience the event of interest; this assumption is not typically satisfied with regard to pathogens of wildlife populations. In contrast, mixture cure models, which comprise logistic regression and survival analysis components, allow for different covariates to be entered into each part of the model and provide better predictions of survival when a fraction of the population is expected to survive a disease outbreak. We fitted mixture cure models to the host&ndash;pathogen dynamics of Chinook Salmon <i>Oncorhynchus tshawytscha</i> and Coho Salmon <i>O. kisutch</i> and the myxozoan parasite <i>Ceratomyxa shasta</i>. Total parasite concentration, water temperature, and discharge were used as covariates to predict the observed parasite-induced mortality in juvenile salmonids collected as part of a long-term monitoring program in the Klamath River, California. The mixture cure models predicted the observed total mortality well, but some of the variability in observed mortality rates was not captured by the models. Parasite concentration and water temperature were positively associated with total mortality and the mortality rate of both Chinook Salmon and Coho Salmon. Discharge was positively associated with total mortality for both species but only affected the mortality rate for Coho Salmon. The mixture cure models provide insights into how daily survival rates change over time in Chinook Salmon and Coho Salmon after they become infected with <i>C. shasta</i>.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2013.862183","usgsCitation":"Ray, A.R., Perry, R.W., Som, N.A., and Bartholomew, J.L., 2014, Using cure models for analyzing the influence of pathogens on salmon survival: Transactions of the American Fisheries Society, v. 143, no. 2, p. 387-398, https://doi.org/10.1080/00028487.2013.862183.","productDescription":"12 p.","startPage":"387","endPage":"398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063786","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":309549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, California","otherGeospatial":"Klamath River basin, Beaver Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.62890625,\n              39.470125122358176\n            ],\n            [\n              -119.92675781249999,\n              39.470125122358176\n            ],\n            [\n              -119.92675781249999,\n              43.229195113965005\n            ],\n            [\n              -124.62890625,\n              43.229195113965005\n            ],\n            [\n              -124.62890625,\n              39.470125122358176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"143","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"56139f57e4b0ba4884c60fd1","contributors":{"authors":[{"text":"Ray, Adam R","contributorId":148959,"corporation":false,"usgs":false,"family":"Ray","given":"Adam","email":"","middleInitial":"R","affiliations":[{"id":17603,"text":"Department of Fisheries and Wildlife, Oregon State University, 104 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR  97331","active":true,"usgs":false}],"preferred":false,"id":576264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":576263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartholomew, Jerri L","contributorId":148960,"corporation":false,"usgs":false,"family":"Bartholomew","given":"Jerri","email":"","middleInitial":"L","affiliations":[{"id":17604,"text":"Dept. of Microbiology, OSU, 220 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR  97331","active":true,"usgs":false}],"preferred":false,"id":576266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178493,"text":"70178493 - 2014 - A methodology for assessing the impact of sea level rise on representative military installations in the Southwestern United States (RC-1703)","interactions":[],"lastModifiedDate":"2016-12-20T12:15:36","indexId":"70178493","displayToPublicDate":"2014-03-03T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A methodology for assessing the impact of sea level rise on representative military installations in the Southwestern United States (RC-1703)","docAbstract":"The objective of the project was to develop an analysis framework and methodologies for evaluation of coastal military installation\nvulnerabilities and test them under prescribed scenarios of increased local mean sea level over the next century. Methodologies were\ndeveloped to assess the potential scope and magnitude of impacts from physical effects of flooding, inundation, erosion, seawater intrusion,\nand alteration of tidal flows. Assessment methodologies targeted potential vulnerabilities of buildings, civil infrastructure, training areas,\nand waterfront and coastal structures. The project focused on conditions in the southwestern United States and utilized the key coastal\nmilitary installations at Naval Base Coronado and Marine Corps Base Camp Pendleton to test the approach.","language":"English","publisher":"US DOD Strategic Environmental Research and Development Program","collaboration":"U.S. Navy, Point Loma, CA","usgsCitation":"Chadwick, B., Wang, P.F., Brand, M., Flick, R., Adam Young, O’Reilly, W., Bromirski, P., Crampton, W., Gruza, R., and Helly, J., 2014, A methodology for assessing the impact of sea level rise on representative military installations in the Southwestern United States (RC-1703), xxxv., 646 p. .","productDescription":"xxxv., 646 p. ","ipdsId":"IP-033034","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":332341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331178,"type":{"id":15,"text":"Index Page"},"url":"https://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=ADA602243"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51c2e4b01224f329b5ff","contributors":{"authors":[{"text":"Chadwick, Bart","contributorId":176997,"corporation":false,"usgs":false,"family":"Chadwick","given":"Bart","email":"","affiliations":[],"preferred":false,"id":656255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Pei F.","contributorId":177576,"corporation":false,"usgs":false,"family":"Wang","given":"Pei","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":656256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Marissa","contributorId":177577,"corporation":false,"usgs":false,"family":"Brand","given":"Marissa","email":"","affiliations":[],"preferred":false,"id":656257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flick, Reinhard","contributorId":24575,"corporation":false,"usgs":true,"family":"Flick","given":"Reinhard","email":"","affiliations":[],"preferred":false,"id":656258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adam Young","contributorId":145485,"corporation":false,"usgs":false,"family":"Adam Young","affiliations":[{"id":16132,"text":"SCRIPPS Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":656259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Reilly, William","contributorId":177579,"corporation":false,"usgs":false,"family":"O’Reilly","given":"William","email":"","affiliations":[],"preferred":false,"id":656260,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromirski, Peter","contributorId":6632,"corporation":false,"usgs":true,"family":"Bromirski","given":"Peter","email":"","affiliations":[],"preferred":false,"id":656261,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crampton, Walter","contributorId":177580,"corporation":false,"usgs":false,"family":"Crampton","given":"Walter","email":"","affiliations":[],"preferred":false,"id":656262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gruza, Robert","contributorId":177581,"corporation":false,"usgs":false,"family":"Gruza","given":"Robert","email":"","affiliations":[],"preferred":false,"id":656263,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Helly, John","contributorId":177582,"corporation":false,"usgs":false,"family":"Helly","given":"John","email":"","affiliations":[],"preferred":false,"id":656264,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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