{"pageNumber":"1277","pageRowStart":"31900","pageSize":"25","recordCount":184828,"records":[{"id":70141650,"text":"70141650 - 2015 - Likelihood analysis of spatial capture-recapture models for stratified or class structured populations","interactions":[],"lastModifiedDate":"2015-02-20T09:24:10","indexId":"70141650","displayToPublicDate":"2015-02-20T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Likelihood analysis of spatial capture-recapture models for stratified or class structured populations","docAbstract":"<p><span>We develop a likelihood analysis framework for fitting spatial capture-recapture (SCR) models to data collected on class structured or stratified populations. Our interest is motivated by the necessity of accommodating the problem of missing observations of individual class membership. This is particularly problematic in SCR data arising from DNA analysis of scat, hair or other material, which frequently yields individual identity but fails to identify the sex. Moreover, this can represent a large fraction of the data and, given the typically small sample sizes of many capture-recapture studies based on DNA information, utilization of the data with missing sex information is necessary. We develop the class structured likelihood for the case of missing covariate values, and then we address the scaling of the likelihood so that models with and without class structured parameters can be formally compared regardless of missing values. We apply our class structured model to black bear data collected in New York in which sex could be determined for only 62 of 169 uniquely identified individuals. The models containing sex-specificity of both the intercept of the SCR encounter probability model and the distance coefficient, and including a behavioral response are strongly favored by log-likelihood. Estimated population sex ratio is strongly influenced by sex structure in model parameters illustrating the importance of rigorous modeling of sex differences in capture-recapture models.</span><span><br /></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00148.1","usgsCitation":"Royle, J., Sutherland, C.S., Fuller, A.K., and Sun, C.C., 2015, Likelihood analysis of spatial capture-recapture models for stratified or class structured populations: Ecosphere, v. 6, no. 2, 11 p., https://doi.org/10.1890/ES14-00148.1.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060022","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472267,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00148.1","text":"Publisher Index Page"},{"id":298061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-12","publicationStatus":"PW","scienceBaseUri":"54e85aace4b02d776a67c5b5","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":540944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutherland, Christopher S.","contributorId":139375,"corporation":false,"usgs":false,"family":"Sutherland","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":540945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":540946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Catherine C.","contributorId":70274,"corporation":false,"usgs":false,"family":"Sun","given":"Catherine","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":540947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70141812,"text":"70141812 - 2015 - Coping with earthquakes induced by fluid injection","interactions":[],"lastModifiedDate":"2017-02-13T14:33:11","indexId":"70141812","displayToPublicDate":"2015-02-20T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Coping with earthquakes induced by fluid injection","docAbstract":"<p>Large areas of the United States long considered geologically stable with little or no detected seismicity have recently become seismically active. The increase in earthquake activity began in the mid-continent starting in 2001 (<i>1</i>) and has continued to rise. In 2014, the rate of occurrence of earthquakes with magnitudes (<i>M</i>) of 3 and greater in Oklahoma exceeded that in California (see the figure). This elevated activity includes larger earthquakes, several with <i>M</i> &gt; 5, that have caused significant damage (<i>2</i>,&nbsp;<i>3</i>). To a large extent, the increasing rate of earthquakes in the mid-continent is due to fluid-injection activities used in modern energy production (<i>1</i>, <i>4</i>, <i>5</i>). We explore potential avenues for mitigating effects of induced seismicity. Although the United States is our focus here, Canada, China, the UK, and others confront similar problems associated with oil and gas production, whereas quakes induced by geothermal activities affect Switzerland, Germany, and others.</p>","language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York, NY","doi":"10.1126/science.aaa0494","usgsCitation":"McGarr, A.F., Bekins, B., Burkardt, N., Dewey, J.W., Earle, P.S., Ellsworth, W.L., Ge, S., Hickman, S.H., Holland, A.F., Majer, E., Rubinstein, J.L., and Sheehan, A., 2015, Coping with earthquakes induced by fluid injection: Science, v. 347, no. 6224, p. 830-831, https://doi.org/10.1126/science.aaa0494.","productDescription":"2 p.","startPage":"830","endPage":"831","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059959","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":298084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298082,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencemag.org/content/347/6224/830"}],"volume":"347","issue":"6224","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54ec5d3be4b02d776a67da9c","contributors":{"authors":[{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":541110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, Barbara 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":139407,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":541111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":541112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":541113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earle, Paul S. pearle@usgs.gov","contributorId":840,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":541114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":541115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ge, Shemin","contributorId":37366,"corporation":false,"usgs":true,"family":"Ge","given":"Shemin","affiliations":[],"preferred":false,"id":541116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":541117,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holland, Austin F.","contributorId":59243,"corporation":false,"usgs":false,"family":"Holland","given":"Austin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":541118,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Majer, Ernest","contributorId":139408,"corporation":false,"usgs":false,"family":"Majer","given":"Ernest","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":541119,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":541120,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sheehan, Anne","contributorId":139409,"corporation":false,"usgs":false,"family":"Sheehan","given":"Anne","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":541121,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70137256,"text":"sir20145239 - 2015 - Development of regression equations to revise estimates of historical streamflows for the St. Croix River at Stillwater, Minnesota (water years 1910-2011), and Prescott, Wisconsin (water years 1910-2007)","interactions":[],"lastModifiedDate":"2015-02-19T15:39:45","indexId":"sir20145239","displayToPublicDate":"2015-02-19T16:30:00","publicationYear":"2015","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":"2014-5239","title":"Development of regression equations to revise estimates of historical streamflows for the St. Croix River at Stillwater, Minnesota (water years 1910-2011), and Prescott, Wisconsin (water years 1910-2007)","docAbstract":"<p>A natural dam of glacial-era sediments at the confluence of the St. Croix and Mississippi Rivers forms Lake St. Croix, a riverine lake that comprises the lowest 25 miles of the St. Croix River. Historically, backwater effects from the Mississippi River prevented the use of traditional streamgages for collecting continuous streamflow data needed to calculate nutrient loads at the inlet to and outlet from Lake St. Croix at Stillwater, Minnesota and Prescott, Wisconsin, respectively. The development of index-velocity streamgages has enabled the measurement of continuous streamflow in backwater conditions using continuously measured velocities at the streamgage. Index-velocity streamgages were installed at Prescott, Wisconsin, and Stillwater, Minnesota, in 2007 and 2011, respectively.</p>\n<p>Continuous daily mean streamflow data from the new index-velocity streamgages, long-term upstream streamgages, and tributary streamgages were used to (1) develop regression equations that improve estimates of historical streamflow at Stillwater and Prescott, (2) evaluate the accuracies of new and previous equations used to estimate historical streamflows, and (3) compute and evaluate revised estimates of historical streamflows for Stillwater for water years 1910&ndash;2011 and for Prescott for water years 1910&ndash;2007. The abilities of previous and newly developed regression equations to accurately estimate streamflows were evaluated using Nash-Sutcliffe Efficiency (NSE) values. The NSE values at Stillwater improved from 0.90 to 0.98, and the NSE values at Prescott improved from 0.77 to 0.94.</p>\n<p>The new regression equations were used to calculate revised estimates of historical streamflows for Stillwater and Prescott starting in 1910 and ending when index-velocity streamgages were installed. Monthly, annual, 30-year, and period of record statistics were examined between previous and revised estimates of historical streamflows. The abilities of the new regression equations to estimate historical streamflows were evaluated by using percent differences to compare new estimates of historical daily streamflows to discrete streamflow measurements made at Stillwater and Prescott before the installation of index-velocity streamgages. Although less variability was observed between estimated and measured streamflows at Stillwater compared to Prescott, the percent difference data indicated that the new estimates closely approximated measured streamflows at both locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145239","collaboration":"Prepared in cooperation with the St. Croix Watershed Research Station","usgsCitation":"Ziegeweid, J.R., and Magdalene, S., 2015, Development of regression equations to revise estimates of historical streamflows for the St. Croix River at Stillwater, Minnesota (water years 1910-2011), and Prescott, Wisconsin (water years 1910-2007): U.S. Geological Survey Scientific Investigations Report 2014-5239, Report: vi, 23 p.; 3 Appendices, https://doi.org/10.3133/sir20145239.","productDescription":"Report: vi, 23 p.; 3 Appendices","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1909-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-060060","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":298059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145239.jpg"},{"id":298056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5239/pdf/sir14-5239.pdf","text":"Report","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298055,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5239/"},{"id":298057,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5239/downloads/Appendix2.xlsx","text":"Appendix 2","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2"},{"id":298058,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5239/downloads/Appendix3.xlsx","text":"Appendix 3","size":"1.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3"}],"country":"United States","state":"Minnesota, Wisconsin","city":"Prescott, Stillwater","otherGeospatial":"St. Croix River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.53759765625,\n              44.26093725039923\n            ],\n            [\n              -93.53759765625,\n              45.07352060670971\n            ],\n            [\n              -91.7138671875,\n              45.07352060670971\n            ],\n            [\n              -91.7138671875,\n              44.26093725039923\n            ],\n            [\n              -93.53759765625,\n              44.26093725039923\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e70929e4b02d776a66a006","contributors":{"authors":[{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magdalene, Suzanne","contributorId":138500,"corporation":false,"usgs":false,"family":"Magdalene","given":"Suzanne","email":"","affiliations":[{"id":12429,"text":"Science Museum of Minnesota","active":true,"usgs":false}],"preferred":false,"id":540949,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70138815,"text":"fs20153006 - 2015 - Assessment of unconventional oil and gas resources in the Jurassic Sargelu Formation of Iraq, 2014","interactions":[],"lastModifiedDate":"2015-02-19T14:05:25","indexId":"fs20153006","displayToPublicDate":"2015-02-19T15:00:00","publicationYear":"2015","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":"2015-3006","title":"Assessment of unconventional oil and gas resources in the Jurassic Sargelu Formation of Iraq, 2014","docAbstract":"<p>The U.S. Geological Survey (USGS) quantitatively assessed the potential for unconventional (continuous) oil and gas resources within the Jurassic Sargelu Formation of Iraq. Organic-rich shales of the Jurassic Sargelu Formation are one of the main petroleum source rocks for conventional fields in the Arabian Peninsula. The Sargelu Formation consists of marine shales, with as much as 10 weight percent sulfur-rich Type IIS organic matter, deposited in a relatively deep, anoxic Jurassic depocenter. The potential for volumes of oil retained in the Sargelu Formation source-reservoir rock system following oil migration, cracking, or degradation is the focus of this assessment. Conventional oil and gas resources of Iraq were assessed by the USGS in 2012.</p>\n<p>The USGS assessment methodology consists of a well-performance approach that recognizes the geologic variability within assessed reservoirs. For non-U.S. assessments, the USGS assesses shale-gas or shale-oil reservoirs that (1) contain greater than 2 weight percent total organic carbon (TOC), (2) are within the proper thermal maturity window for oil or gas generation, (3) have greater than 15-m thickness of organic-rich shale, and (4) contain Type I or II organic matter. These specific USGS criteria when applied to any given shale-oil or shale-gas reservoir might significantly reduce the potential resource assessment area compared to maps made with greater than 1 weight percent TOC.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153006","collaboration":"National and Global Petroleum Resource Assessment Project","usgsCitation":"Schenk, C.J., Pitman, J.K., Charpentier, R., Klett, T., Gaswirth, S., Brownfield, M.E., Leathers, H., Mercier, T.J., and Tennyson, M., 2015, Assessment of unconventional oil and gas resources in the Jurassic Sargelu Formation of Iraq, 2014: U.S. Geological Survey Fact Sheet 2015-3006, 2 p., https://doi.org/10.3133/fs20153006.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061306","costCenters":[{"id":164,"text":"Central Energy Resources Science 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Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":540937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klett, Timothy R. 0000-0001-9779-1168 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,{"id":70141469,"text":"70141469 - 2015 - High influx of carbon in walls of agglutinated foraminifers during the Permian-Triassic transition in  global oceans","interactions":[],"lastModifiedDate":"2015-04-01T09:43:48","indexId":"70141469","displayToPublicDate":"2015-02-19T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2020,"text":"International Geology Review","active":true,"publicationSubtype":{"id":10}},"title":"High influx of carbon in walls of agglutinated foraminifers during the Permian-Triassic transition in  global oceans","docAbstract":"<p><span>The&nbsp;</span><span>Permian</span><span>&ndash;</span><span>Triassic</span><span>&nbsp;mass extinction is postulated to be related to the rapid volcanism that produced the Siberian flood basalt (Traps). Unrelated volcanic eruptions producing several episodes of ash falls synchronous with the Siberian Traps are found in South China and Australia. Such regional eruptions could have caused wildfires, burning of coal deposits, and the dispersion of coal fly ash. These eruptions introduced a major&nbsp;</span><span>influx</span><span>&nbsp;of&nbsp;</span><span>carbon</span><span>&nbsp;into the atmosphere and&nbsp;</span><span>oceans</span><span>&nbsp;that can be recognized in the&nbsp;</span><span>wall</span><span>structure of foraminiferal tests present in survival populations in the boundary interval strata. Analysis of free specimens of&nbsp;</span><span>foraminifers</span><span>&nbsp;recovered from residues of conodont samples taken at a</span><span>Permian</span><span>&ndash;</span><span>Triassic</span><span>&nbsp;boundary section at Lung Cam in northern Vietnam has revealed the presence of a significant amount of elemental&nbsp;</span><span>carbon</span><span>, along with oxygen and silica, in their test&nbsp;</span><span>wall</span><span>&nbsp;structure, but an absence of calcium&nbsp;</span><span>carbonate</span><span>. These&nbsp;</span><span>foraminifers</span><span>, identified as&nbsp;</span><i>Rectocornuspira kalhori</i><span>,&nbsp;</span><i>Cornuspira mahajeri</i><span>, and&nbsp;</span><i>Earlandia</i><span>&nbsp;spp. and whose tests previously were considered to be calcareous, are confirmed to be&nbsp;</span><span>agglutinated</span><span>, and are now referred to as&nbsp;</span><i>Ammodiscus kalhori</i><span>&nbsp;and&nbsp;</span><i>Hyperammina deformis</i><span>. Measurement of the&nbsp;</span><sup>207</sup><span>Pb/</span><sup>204</sup><span>Pb ratios in pyrite clusters attached to the foraminiferal tests confirmed that these tests inherited the Pb in their outer layer from&nbsp;</span><span>carbon</span><span>-contaminated seawater. We conclude that the source of the&nbsp;</span><span>carbon</span><span>&nbsp;could have been either&nbsp;</span><span>global</span><span>&nbsp;coal fly ash or forest fire-dispersed&nbsp;</span><span>carbon</span><span>, or a combination of both, that was dispersed into the Palaeo-Tethys&nbsp;</span><span>Ocean</span><span>&nbsp;immediately after the end-</span><span>Permian</span><span>&nbsp;extinction event.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00206814.2015.1010610","usgsCitation":"Nestell, G.P., Nestell, M.K., Ellwood, B.B., Wardlaw, B.R., Basu, A.R., Ghosh, N., Phuong Lan, L.T., Rowe, H.D., Hunt, A.G., Tomkin, J.H., and Ratcliffe, K.T., 2015, High influx of carbon in walls of agglutinated foraminifers during the Permian-Triassic transition in  global oceans: International Geology Review, v. 57, no. 4, p. 411-427, https://doi.org/10.1080/00206814.2015.1010610.","productDescription":"17 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Arlington","active":true,"usgs":false}],"preferred":false,"id":540835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellwood, Brooks B.","contributorId":44814,"corporation":false,"usgs":false,"family":"Ellwood","given":"Brooks","email":"","middleInitial":"B.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":540836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Basu, Asish 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,{"id":70141618,"text":"70141618 - 2015 - Novel Eurasian highly pathogenic avian influenza A H5 viruses in wild birds, Washington, USA, 2014","interactions":[],"lastModifiedDate":"2020-08-26T16:21:35.038799","indexId":"70141618","displayToPublicDate":"2015-02-19T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Novel Eurasian highly pathogenic avian influenza A H5 viruses in wild birds, Washington, USA, 2014","docAbstract":"<p><span>Novel Eurasian lineage avian influenza A(H5N8) virus has spread rapidly and globally since January 2014. In December 2014, H5N8 and reassortant H5N2 viruses were detected in wild birds in Washington, USA, and subsequently in backyard birds. When they infect commercial poultry, these highly pathogenic viruses pose substantial trade issues.</span></p>","language":"English","publisher":"Centers for Disease Control and Prevention","publisherLocation":"Atlanta, GA","doi":"10.3201/eid2105.142020","usgsCitation":"Ip, S., Kim Torchetti, M., Crespo, R., Kohrs, P., DeBruyn, P., Mansfield, K.G., Baszler, T., Badcoe, L., Bodenstein, B., Shearn-Bochsler, V.I., Killian, M.L., Pederson, J.C., Hines, N., Gidlewski, T., DeLiberto, T., and Sleeman, J.M., 2015, Novel Eurasian highly pathogenic avian influenza A H5 viruses in wild birds, Washington, USA, 2014: Emerging Infectious Diseases, v. 21, no. 5, p. 886-890, https://doi.org/10.3201/eid2105.142020.","productDescription":"5 p.","startPage":"886","endPage":"890","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061900","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2105.142020","text":"Publisher Index Page"},{"id":298048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.94775390625,\n              45.598665689820656\n            ],\n            [\n              -123.94775390625,\n              48.99463598353408\n            ],\n            [\n              -117.00439453125,\n              48.99463598353408\n            ],\n            [\n              -117.00439453125,\n              45.598665689820656\n            ],\n            [\n              -123.94775390625,\n              45.598665689820656\n            ]\n          ]\n    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,{"id":70141501,"text":"70141501 - 2015 - Hydroecological condition and potential for aquaculture in lakes of the arid region of Khorezm, Uzbekistan","interactions":[],"lastModifiedDate":"2015-02-19T09:59:50","indexId":"70141501","displayToPublicDate":"2015-02-19T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Hydroecological condition and potential for aquaculture in lakes of the arid region of Khorezm, Uzbekistan","docAbstract":"<p><span>With &gt;400 small (&lt;1&nbsp;ha) lakes, the arid Khorezm Province in Uzbekistan may be well-suited for aquaculture production. Developing water resources to provide a local food supply could increase fish consumption while improving the rural economy. Hydroecological (biological and physical) and chemical characteristics (including legacy pesticides &Sigma;DDT and &Sigma;HCH) of four representative drainage lakes in Khorezm from 2006 to 2008 were analyzed for the lakes&rsquo; capability to support healthy fish populations. Lake characteristics were categorized as &ldquo;optimal&rdquo; (having little or no effect on growth and development), &ldquo;tolerable&rdquo; (corresponding to chronic or sub-lethal toxicity) and &ldquo;lethal&rdquo; (corresponding to acute toxicity). Results indicate that three lakes are likely well-suited for raising fish species, with water quality meeting World Bank aquaculture guidelines. However, the fourth lake often had salinity concentrations&nbsp;&gt;&nbsp;optimal levels for local fish species. Pesticide concentrations in water of all four lakes were within tolerable aquaculture ranges. Although water &Sigma;DDT concentrations were &gt;optimal limits, results from chemical analysis of fish tissues and semi-permeable membrane devices indicated that study lake &Sigma;DDT concentrations were not accumulating in fish or posing a human health threat. Land and water management to maintain adequate lake water quality are imperative for sustaining fish populations for human consumption.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2015.02.012","usgsCitation":"Crootof, A., Mullabaev, N., Saito, L., Atwell, L., Rosen, M.R., Bekchonova, M., Ginatullina, E., Scott, J., Chandra, S., Nishonov, B., Lamers, J.P., and Fayzieva, D., 2015, Hydroecological condition and potential for aquaculture in lakes of the arid region of Khorezm, Uzbekistan: Journal of Arid Environments, v. 117, no. 1, p. 37-46, https://doi.org/10.1016/j.jaridenv.2015.02.012.","productDescription":"10 p.","startPage":"37","endPage":"46","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044122","costCenters":[{"id":509,"text":"Office of the Associate Director for 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Reno","active":true,"usgs":false}],"preferred":false,"id":540884,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chandra, Sudeep","contributorId":33195,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":540885,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nishonov, Bakhriddin","contributorId":15860,"corporation":false,"usgs":false,"family":"Nishonov","given":"Bakhriddin","email":"","affiliations":[],"preferred":false,"id":540886,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lamers, John P.A.","contributorId":10249,"corporation":false,"usgs":false,"family":"Lamers","given":"John","email":"","middleInitial":"P.A.","affiliations":[],"preferred":false,"id":540887,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fayzieva, Dilorom","contributorId":47609,"corporation":false,"usgs":false,"family":"Fayzieva","given":"Dilorom","email":"","affiliations":[{"id":12744,"text":"Institute of Water Problems","active":true,"usgs":false}],"preferred":false,"id":540888,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70113702,"text":"70113702 - 2015 - Reducing soluble phosphorus in dairy effluents through application of mine drainage residuals","interactions":[],"lastModifiedDate":"2015-04-03T15:27:49","indexId":"70113702","displayToPublicDate":"2015-02-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1281,"text":"Communications in Soil Science and Plant Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Reducing soluble phosphorus in dairy effluents through application of mine drainage residuals","docAbstract":"<p><span>Three different dairy manure wastewater effluent samples were amended with mine drainage residuals (MDR) to evaluate the suitability of MDR for sequestration of phosphorus (P). Geochemical modeling of the manure wastewater compositions indicated that partially soluble P-bearing minerals including hydroxyapatite, octacalcium phosphate, and vivianite were all oversaturated in each of the manure wastewater samples. Initial MDR amendment test results indicated that these partially soluble P minerals suspended in the wastewater replenished P in the water phase as it was sorbed by the MDR samples. Further investigations revealed that the MDR samples were effective in decreasing soluble P when the amended manure was tested using the water-extractable P procedure. Under these conditions, up to 90 percent of the soluble P in the manure was converted to a sorbed, water-insoluble state. Water contamination and large-scale validation tests of the process were also conducted.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00103624.2014.998339","usgsCitation":"Sibrell, P.L., Penn, C.J., and Hedin, R.S., 2015, Reducing soluble phosphorus in dairy effluents through application of mine drainage residuals: Communications in Soil Science and Plant Analysis, v. 46, no. 5, p. 545-563, https://doi.org/10.1080/00103624.2014.998339.","productDescription":"19 p.","startPage":"545","endPage":"563","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057556","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":299372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"5","noUsgsAuthors":false,"publicationDate":"2015-02-19","publicationStatus":"PW","scienceBaseUri":"551fb9c1e4b027f0aee3bb29","contributors":{"authors":[{"text":"Sibrell, Philip L. psibrell@usgs.gov","contributorId":2006,"corporation":false,"usgs":true,"family":"Sibrell","given":"Philip","email":"psibrell@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":518979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penn, Chad J.","contributorId":116060,"corporation":false,"usgs":false,"family":"Penn","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":518980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hedin, Robert S.","contributorId":118146,"corporation":false,"usgs":false,"family":"Hedin","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":518981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70141438,"text":"70141438 - 2015 - Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change","interactions":[],"lastModifiedDate":"2017-10-30T11:07:49","indexId":"70141438","displayToPublicDate":"2015-02-18T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change","docAbstract":"<p><span>Decision makers that are responsible for stewardship of natural resources face many challenges, which are complicated by uncertainty about impacts from climate change, expanding human development, and intensifying land uses. A systematic process for evaluating the social and ecological risks, trade-offs, and cobenefits associated with future changes is critical to maximize resilience and conserve ecosystem services. This is particularly true in coastal areas where human populations and landscape conversion are increasing, and where intensifying storms and sea-level rise pose unprecedented threats to coastal ecosystems. We applied collaborative decision analysis with a diverse team of stakeholders who preserve, manage, or restore tidal marshes across the San Francisco Bay estuary, California, USA, as a case study. Specifically, we followed a structured decision-making approach, and we using expert judgment developed alternative management strategies to increase the capacity and adaptability to manage tidal marsh resilience while considering uncertainties through 2050. Because sea-level rise projections are relatively confident to 2050, we focused on uncertainties regarding intensity and frequency of storms and funding. Elicitation methods allowed us to make predictions in the absence of fully compatible models and to assess short- and long-term trade-offs. Specifically we addressed two questions. (1) Can collaborative decision analysis lead to consensus among a diverse set of decision makers responsible for environmental stewardship and faced with uncertainties about climate change, funding, and stakeholder values? (2) What is an optimal strategy for the conservation of tidal marshes, and what strategy is robust to the aforementioned uncertainties? We found that when taking this approach, consensus was reached among the stakeholders about the best management strategies to maintain tidal marsh integrity. A Bayesian decision network revealed that a strategy considering sea-level rise and storms explicitly in wetland restoration planning and designs was optimal, and it was robust to uncertainties about management effectiveness and budgets. We found that strategies that avoided explicitly accounting for future climate change had the lowest expected performance based on input from the team. Our decision-analytic framework is sufficiently general to offer an adaptable template, which can be modified for use in other areas that include a diverse and engaged stakeholder group.</span></p>","language":"English","publisher":"Resilience Alliance Publications","doi":"10.5751/ES-07018-200130","usgsCitation":"Thorne, K.M., Mattsson, B., Takekawa, J.Y., Cummings, J., Crouse, D., Block, G., Bloom, V., Gerhart, M., Goldbeck, S., Huning, B., Sloop, C., Stewart, M., Taylor, K., and Valoppi, L., 2015, Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change: Ecology and Society, v. 20, no. 1, 25 p.; Article 30, https://doi.org/10.5751/ES-07018-200130.","productDescription":"25 p.; Article 30","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061625","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research 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laura_valoppi@usgs.gov","contributorId":139321,"corporation":false,"usgs":true,"family":"Valoppi","given":"Laura","email":"laura_valoppi@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540821,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70139795,"text":"ds920 - 2015 - Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June and September 2014","interactions":[],"lastModifiedDate":"2015-02-18T13:42:20","indexId":"ds920","displayToPublicDate":"2015-02-18T13:30:00","publicationYear":"2015","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":"920","title":"Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June and September 2014","docAbstract":"<p>Previous investigations indicate that concentrations of chlorinated volatile organic compounds (CVOCs) are substantial in groundwater beneath the 9-acre former landfill at Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington. The U.S. Geological Survey has continued to monitor groundwater geochemistry to ensure that conditions remain favorable for contaminant biodegradation at the site. This report presents groundwater geochemical and selected CVOC data collected at Operable Unit 1 by the U.S. Geological Survey during June 23&ndash;25 and September 4, 2014, in support of long-term monitoring for natural attenuation. Groundwater samples were collected from 13 wells and 9 piezometers, as well as from 10 shallow groundwater passive-diffusion sampling sites in the nearby marsh. Samples from all wells and piezometers were analyzed for oxidation-reduction (redox) sensitive constituents and dissolved gases. Samples from all piezometers and four wells also were analyzed for CVOCs, as were all samples from the passive-diffusion sampling sites. In 2014, concentrations of redox-sensitive constituents measured at all wells and piezometers were consistent with those measured in previous years, with dissolved oxygen concentrations all less than 1 milligram per liter; little to no detectable nitrate; abundant dissolved manganese, iron, and methane; and commonly detected sulfide. In the upper aquifer of the northern plantation in 2014, CVOC concentrations at all piezometers were similar to those measured in previous years, and concentrations of the reductive dechlorination byproducts ethane and ethene were slightly lower or the same as concentrations measured in 2013. In the upper aquifer of the southern plantation, CVOC concentrations measured in piezometers during 2014 continued to be variable as in previous years, often high, and reductive dechlorination byproducts were detected in one of the three wells and in all but two piezometers. Beneath the marsh adjacent to the southern plantation, chloroethene concentrations measured in 2014 continued to vary spatially and temporally, and were high. Trends for total CVOC concentration continued to increase at the historically most contaminated passive‑diffusion sampler sites (S-4, S-4B, and S-5). For the intermediate aquifer in 2014, concentrations of reductive dechlorination byproducts ethane and ethene and CVOCs were consistent with those measured in previous years.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds920","collaboration":"Prepared in cooperation with Department of the Navy, Naval Facilities Engineering Command, Northwest","usgsCitation":"Huffman, R.L., 2015, Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June and September 2014: U.S. Geological Survey Data Series 920, iv, 50 p., https://doi.org/10.3133/ds920.","productDescription":"iv, 50 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062663","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":298034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds920.jpg"},{"id":298033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0920/pdf/ds920.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298030,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0920/"}],"projection":"Washington State Plane, North Zone","datum":"North American Datum of 1927","country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.63437271118164,\n              47.689312506350575\n            ],\n            [\n              -122.63437271118164,\n              47.706527200903395\n            ],\n            [\n              -122.61308670043945,\n              47.706527200903395\n            ],\n            [\n              -122.61308670043945,\n              47.689312506350575\n            ],\n            [\n              -122.63437271118164,\n              47.689312506350575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7b3e4b02d776a669ea1","contributors":{"authors":[{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540777,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70128289,"text":"sim3311 - 2015 - Potentiometric surface, 2013, and water-level differences, 1991-2013, of the Carrizo-Wilcox aquifer in northwest Louisiana","interactions":[],"lastModifiedDate":"2015-02-18T13:27:04","indexId":"sim3311","displayToPublicDate":"2015-02-18T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3311","title":"Potentiometric surface, 2013, and water-level differences, 1991-2013, of the Carrizo-Wilcox aquifer in northwest Louisiana","docAbstract":"<p>The Carrizo-Wilcox aquifer is the primary source of fresh groundwater for public supply as well as industrial, agricultural, and domestic uses in several parishes in northwestern Louisiana, including Bienville, Bossier, Caddo, De Soto, Natchitoches, Red River, Sabine, and Webster. In 2010, about 19 million gallons per day (Mgal/d) were withdrawn from the Carrizo-Wilcox aquifer in Louisiana. This is an increase of over 6 Mgal/d from 1990 withdrawal amounts. The largest increase in withdrawals occurred in Caddo (3.79 Mgal/d) and De Soto Parishes (2.32 Mgal/d), whereas the largest decrease in withdrawals occurred in Natchitoches Parish (1.17 Mgal/d). Groundwater withdrawals from the Carrizo-Wilcox aquifer have caused water-level declines throughout much of the aquifer in the study area. Additional knowledge about the effects of withdrawals on water levels and flow directions in the Carrizo-Wilcox aquifer are needed to assess current conditions in the aquifer. In 2012, the U.S. Geological Survey (USGS) in cooperation with the Louisiana Department of Natural Resources began a study to document current water levels and water-level changes in selected aquifers.</p>\n<p>This report presents data and maps that illustrate the potentiometric surface of the Carrizo-Wilcox aquifer during March&ndash;May 2013 and water-level differences from 1991 to 2013. The potentiometric surface map can be used for determining the direction of groundwater flow, hydraulic gradients, and effects of withdrawals on the groundwater resource. The rate of groundwater movement also can be estimated from the gradient when the hydraulic conductivity is applied. Water-level data collected for this study are stored in the USGS National Water Information System (NWIS) (<i>http://waterdata.usgs.gov/nwis</i>) and are on file at the USGS office in Baton Rouge, La.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3311","collaboration":"Prepared in cooperation with the Louisiana Department of Natural Resources","usgsCitation":"Fendick, R., and Carter, K., 2015, Potentiometric surface, 2013, and water-level differences, 1991-2013, of the Carrizo-Wilcox aquifer in northwest Louisiana: U.S. Geological Survey Scientific Investigations Map 3311, 44.0 x 34.0 inches, https://doi.org/10.3133/sim3311.","productDescription":"44.0 x 34.0 inches","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1991-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057693","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":298032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3311.jpg"},{"id":298025,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3311/"},{"id":298031,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3311/pdf/sim3311.pdf","text":"Map","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Map"}],"country":"United States","state":"Louisiana","otherGeospatial":"Carrizo-Wilcox aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.04296874999999,\n              31.194007509998823\n            ],\n            [\n              -94.04296874999999,\n              33.02248191961359\n            ],\n            [\n              -92.7520751953125,\n              33.02248191961359\n            ],\n            [\n              -92.7520751953125,\n              31.194007509998823\n            ],\n            [\n              -94.04296874999999,\n              31.194007509998823\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7eee4b02d776a669ea7","contributors":{"authors":[{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Kayla kcarter@usgs.gov","contributorId":5681,"corporation":false,"usgs":true,"family":"Carter","given":"Kayla","email":"kcarter@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540767,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70141433,"text":"70141433 - 2015 - Large-scale dam removal on the Elwha River, Washington, USA: fluvial sediment load","interactions":[],"lastModifiedDate":"2016-04-26T09:22:05","indexId":"70141433","displayToPublicDate":"2015-02-18T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal on the Elwha River, Washington, USA: fluvial sediment load","docAbstract":"<p><span>The Elwha River restoration project, in Washington State, includes the largest dam-removal project in United States history to date. Starting September 2011, two nearly century-old dams that collectively contained 21&nbsp;&plusmn;&nbsp;3&nbsp;million&nbsp;m</span><sup>3</sup><span>&nbsp;of sediment were removed over the course of three years with a top-down deconstruction strategy designed to meter the release of a portion of the dam-trapped sediment. Gauging with sediment-surrogate technologies during the first two years downstream from the project measured 8,200,000&nbsp;&plusmn;&nbsp;3,400,000&nbsp;tonnes of transported sediment, with 1,100,000 and 7,100,000&nbsp;t moving in years 1 and 2, respectively, representing 3 and 20 times the Elwha River annual sediment load of 340,000&nbsp;&plusmn;&nbsp;80,000&nbsp;t/y. During the study period, the discharge in the Elwha River was greater than normal (107% in year 1 and 108% in year 2); however, the magnitudes of the peak-flow events during the study period were relatively benign with the largest discharge of 292&nbsp;m</span><sup>3</sup><span>/s (73% of the 2-year annual peak-flow event) early in the project when both extant reservoirs still retained sediment. Despite the muted peak flows, sediment transport was large, with measured suspended-sediment concentrations during the study period ranging from 44 to 16,300&nbsp;mg/L and gauged bedload transport as large as 24,700&nbsp;t/d. Five distinct sediment-release periods were identified when sediment loads were notably increased (when lateral erosion in the former reservoirs was active) or reduced (when reservoir retention or seasonal low flows and cessation of lateral erosion reduced sediment transport). Total suspended-sediment load was 930,000&nbsp;t in year 1 and 5,400,000&nbsp;t in year 2. Of the total 6,300,000&nbsp;&plusmn;&nbsp;3,200,000&nbsp;t of suspended-sediment load, 3,400,000&nbsp;t consisted of silt and clay and 2,900,000&nbsp;t was sand. Gauged bedload on the lower Elwha River in year 2 of the project was 450,000&nbsp;&plusmn;&nbsp;360,000&nbsp;t. Bedload was not quantified in year 1, but qualitative observations using bedload-surrogate instruments indicated detectable bedload starting just after full removal of the downstream dam. Using comparative studies from other sediment-laden rivers, the total ungauged fraction of &lt;&nbsp;2-mm bedload was estimated to be on the order of 1.5&nbsp;Mt.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2014.12.032","usgsCitation":"Magirl, C.S., Hilldale, R.C., Curran, C.A., Duda, J., Straub, T., Domanski, M.M., and Foreman, J., 2015, Large-scale dam removal on the Elwha River, Washington, USA: fluvial sediment load: Geomorphology, v. 246, p. 669-686, https://doi.org/10.1016/j.geomorph.2014.12.032.","productDescription":"18 p.","startPage":"669","endPage":"686","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060501","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":472270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2014.12.032","text":"Publisher Index 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mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540775,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":139316,"corporation":false,"usgs":true,"family":"Foreman","given":"James R.","email":"jforeman@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540776,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70135821,"text":"fs20143118 - 2015 - Water resources of St. Charles Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-02-18T12:58:08","indexId":"fs20143118","displayToPublicDate":"2015-02-18T12:45:00","publicationYear":"2015","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":"2014-3118","title":"Water resources of St. Charles Parish, Louisiana","docAbstract":"<p><span>Information concerning the availability, use, and quality of water in St. Charles Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey&rsquo;s National Water Information System (</span>http://waterdata.usgs.gov/nwis<span>) are the primary sources of the information presented here.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143118","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L., 2015, Water resources of St. Charles Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3118, 6 p., https://doi.org/10.3133/fs20143118.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059438","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":298028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143118.jpg"},{"id":298026,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3118/"},{"id":298027,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3118/pdf/fs2014-3118.pdf","text":"Report","size":"8.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Louisiana","county":"St. Charles Parish","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.58914184570311,\n              29.679701222948996\n            ],\n            [\n              -90.58914184570311,\n              30.191431221535417\n            ],\n            [\n              -90.14762878417969,\n              30.191431221535417\n            ],\n            [\n              -90.14762878417969,\n              29.679701222948996\n            ],\n            [\n              -90.58914184570311,\n              29.679701222948996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7f1e4b02d776a669eab","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540769,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70141427,"text":"70141427 - 2015 - Large-scale dam removal on the Elwha River, Washington, USA: coastal geomorphic change","interactions":[],"lastModifiedDate":"2015-08-17T14:46:52","indexId":"70141427","displayToPublicDate":"2015-02-18T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal on the Elwha River, Washington, USA: coastal geomorphic change","docAbstract":"<p><span>Two dams on the Elwha River, Washington State, USA trapped over 20&nbsp;million&nbsp;m</span><sup>3</sup><span>&nbsp;of mud, sand, and gravel since 1927, reducing downstream sediment fluxes and contributing to erosion of the river's coastal delta. The removal of the Elwha and Glines Canyon dams, initiated in September 2011, induced massive increases in river sediment supply and provided an unprecedented opportunity to examine the geomorphic response of a coastal delta to these increases. Detailed measurements of beach topography and nearshore bathymetry show that ~&nbsp;2.5&nbsp;million&nbsp;m</span><sup>3</sup><span>&nbsp;of sediment was deposited during the first two years of dam removal, which is ~&nbsp;100 times greater than deposition rates measured prior to dam removal. The majority of the deposit was located in the intertidal and shallow subtidal region immediately offshore of the river mouth and was composed of sand and gravel. Additional areas of deposition include a secondary sandy deposit to the east of the river mouth and a muddy deposit west of the mouth. A comparison with fluvial sediment fluxes suggests that ~&nbsp;70% of the sand and gravel and ~&nbsp;6% of the mud supplied by the river was found in the survey area (within about 2&nbsp;km of the mouth). A hydrodynamic and sediment transport model, validated with in-situ measurements, shows that tidal currents interacting with the larger relict submarine delta help disperse fine sediment large distances east and west of the river mouth. The model also suggests that waves and currents erode the primary deposit located near the river mouth and transport sandy sediment eastward to form the secondary deposit. Though most of the substrate of the larger relict submarine delta was unchanged during the first two years of dam removal, portions of the seafloor close to the river mouth became finer, modifying habitats for biological communities. These results show that river restoration, like natural changes in river sediment supply, can result in rapid and substantial coastal geomorphological responses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2015.01.002","usgsCitation":"Gelfenbaum, G.R., Stevens, A.W., Miller, I.M., Warrick, J., Ogston, A.S., and Eidam, E., 2015, Large-scale dam removal on the Elwha River, Washington, USA: coastal geomorphic change: Geomorphology, v. 246, no. 1, p. 649-668, https://doi.org/10.1016/j.geomorph.2015.01.002.","productDescription":"20 p.","startPage":"649","endPage":"668","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058068","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472272,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2015.01.002","text":"Publisher Index Page"},{"id":298024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.74519348144531,\n              47.95636395852882\n            ],\n            [\n              -123.74519348144531,\n              48.24936904607431\n            ],\n            [\n              -123.3380126953125,\n              48.24936904607431\n            ],\n            [\n              -123.3380126953125,\n              47.95636395852882\n            ],\n            [\n              -123.74519348144531,\n              47.95636395852882\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"246","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7ede4b02d776a669ea3","chorus":{"doi":"10.1016/j.geomorph.2015.01.002","url":"http://dx.doi.org/10.1016/j.geomorph.2015.01.002","publisher":"Elsevier BV","authors":"Gelfenbaum Guy, Stevens Andrew W., Miller Ian, Warrick Jonathan A., Ogston Andrea S., Eidam Emily","journalName":"Geomorphology","publicationDate":"10/2015","publiclyAccessibleDate":"8/15/2016"},"contributors":{"authors":[{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. astevens@usgs.gov","contributorId":3199,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":540759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warrick, Jonathan A. jwarrick@usgs.gov","contributorId":1904,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogston, Andrea S.","contributorId":12119,"corporation":false,"usgs":true,"family":"Ogston","given":"Andrea","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":540761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eidam, Emily","contributorId":139311,"corporation":false,"usgs":false,"family":"Eidam","given":"Emily","email":"","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":540762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70137314,"text":"sir20155003 - 2015 - Water-quality characteristics and trends for selected wells possibly influenced by wastewater disposal at the Idaho National Laboratory, Idaho, 1981-2012","interactions":[],"lastModifiedDate":"2015-02-20T13:52:28","indexId":"sir20155003","displayToPublicDate":"2015-02-18T09:45:00","publicationYear":"2015","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":"2015-5003","title":"Water-quality characteristics and trends for selected wells possibly influenced by wastewater disposal at the Idaho National Laboratory, Idaho, 1981-2012","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S.&nbsp;Department of Energy, analyzed water-quality data collected from 64 aquifer wells and 35 perched groundwater wells at the Idaho National Laboratory (INL) from 1981 through 2012. The wells selected for the study were wells that possibly were affected by wastewater disposal at the INL. The data analyzed included tritium, strontium-90, major cations, anions, nutrients, trace elements, total organic carbon, and volatile organic compounds. The analyses were performed to examine water-quality trends that might influence future management decisions about the number of wells to sample at the INL and the type of constituents to monitor.</p>\n<p>The data were processed using custom computer scripts developed in the R programming language. Summary statistics were calculated for the datasets. Water-quality trends were determined using a parametric survival regression model to fit the observed data, including left-censored, interval-censored, and uncensored data. The null hypothesis of the trend test was that no relation existed between time and concentration; the alternate hypothesis was that time and concentration were related through the regression equation. A significance level of 0.05 was selected to determine if the trend was statistically&nbsp;significant.</p>\n<p>Trend test results for tritium and strontium-90 concentrations in aquifer wells indicated that nearly all wells had decreasing or no trends. Similarly, trends in perched groundwater wells were mostly decreasing or no trends; trends were increasing in two perched groundwater wells near the Advanced Test Reactor Complex. Decreasing trends generally are attributed to lack of recent wastewater disposal and radioactive decay.</p>\n<p>Trend test results for chloride, sodium, sulfate, nitrite plus nitrate (as nitrogen), chromium, trace elements, and total organic carbon concentrations in aquifer wells indicated that most wells had either decreasing or no trends. The decreasing trends in these constituents are attributed to decrease in disposal of these constituents, as well as discontinued use of the old percolation ponds south of the Idaho Nuclear Technology and Engineering Center (INTEC) and redirection of wastewater to the new percolation ponds 2 miles southwest of the INTEC in 2002.</p>\n<p>Chloride (along with sodium, sulfate, and some nitrate) concentrations in wells south of the INTEC may be influenced by episodic recharge from the Big Lost River. These constituent concentrations decrease during wetter periods when there is probably more recharge from the Big Lost River and increase during dry periods, when there is less recharge.</p>\n<p>Some wells downgradient of the Central Facilities Area and near the southern boundary of the INL showed increasing trends in sodium concentration, whereas there was no trend in chloride. The increasing trend for sodium could be due to the long term influence of wastewater disposal from upgradient facilities and the lack of trend for chloride could be because chloride is more mobile than sodium and more dispersed in the aquifer system.</p>\n<p>Volatile organic compound concentration trends were analyzed for nine aquifer wells. Trend test results indicated an increasing trend for carbon tetrachloride for the Radioactive Waste Management Complex Production Well for the period 1987&ndash;2012; however, trend analyses of data collected since 2005 show no statistically significant trend indicating that engineering practices designed to reduce movement of volatile organic compounds to the aquifer may be having a positive effect on the aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155003","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Davis, L.C., Bartholomay, R.C., Fisher, J.C., and Maimer, N.V., 2015, Water-quality characteristics and trends for selected wells possibly influenced by wastewater disposal at the Idaho National Laboratory, Idaho, 1981-2012: U.S. Geological Survey Scientific Investigations Report 2015-5003, Report: viii, 105 p.; Appendixes A-E, https://doi.org/10.3133/sir20155003.","productDescription":"Report: viii, 105 p.; 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,{"id":70133102,"text":"ds898 - 2015 - Basement domain map of the conterminous United States and Alaska","interactions":[],"lastModifiedDate":"2016-06-29T13:36:05","indexId":"ds898","displayToPublicDate":"2015-02-18T09:15:00","publicationYear":"2015","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":"898","title":"Basement domain map of the conterminous United States and Alaska","docAbstract":"<p>The basement-domain map is a compilation of basement domains in the conterminous United States and Alaska designed to be used at 1:5,000,000-scale, particularly as a base layer for national-scale mineral resource assessments. Seventy-seven basement domains are represented as eighty-three polygons on the map. The domains are based on interpretations of basement composition, origin, and architecture and developed from a variety of sources. Analysis of previously published basement, lithotectonic, and terrane maps as well as models of planetary development were used to formulate the concept of basement and the methodology of defining domains that spanned the ages of Archean to present but formed through different processes. The preliminary compilations for the study areas utilized these maps, national-scale gravity and aeromagnetic data, published and limited new age and isotopic data, limited new field investigations, and conventional geologic maps. 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The databases can also be configured to illustrate other purposes chosen by users.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds898","usgsCitation":"Lund, K., Box, S.E., Holm-Denoma, C.S., San Juan, C.A., Blakely, R.J., Saltus, R.W., Anderson, E.D., and DeWitt, E., 2015, Basement domain map of the conterminous United States and Alaska: U.S. Geological Survey Data Series 898, Report: iv, 41 p.; Downloads Directory, https://doi.org/10.3133/ds898.","productDescription":"Report: iv, 41 p.; Downloads Directory","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053924","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":298007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds898.jpg"},{"id":298005,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0898/pdf/ds898.pdf","text":"Report","size":"11.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298006,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0898/downloads/","text":"Downloads Directory","linkHelpText":"Contains: geospatial database. 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,{"id":70135973,"text":"ofr20141235 - 2015 - Sediment transport and capacity change in three reservoirs, Lower Susquehanna River Basin, Pennsylvania and Maryland, 1900-2012","interactions":[],"lastModifiedDate":"2017-06-22T09:53:31","indexId":"ofr20141235","displayToPublicDate":"2015-02-18T09:00:00","publicationYear":"2015","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":"2014-1235","title":"Sediment transport and capacity change in three reservoirs, Lower Susquehanna River Basin, Pennsylvania and Maryland, 1900-2012","docAbstract":"<p><span>The U.S. Geological Survey (USGS) has conducted numerous sediment transport studies in the Susquehanna River and in particular in three reservoirs in the Lower Susquehanna River Basin to determine sediment transport rates over the past century and to document changes in storage capacity. The Susquehanna River is the largest tributary to Chesapeake Bay and transports about one-half of the total freshwater input and substantial amounts of sediment and nutrients to the bay. The transported loads are affected by deposition in reservoirs (Lake Clarke, Lake Aldred, and Conowingo Reservoir) behind three hydropower dams. The geometry and texture of the deposited sediments in each reservoir upstream from the three dams has been a subject of research in recent decades. Particle size deposition and sediment scouring processes are part of the reservoir dynamics. A Total Maximum Daily Load (TMDL) for nitrogen, phosphorus, and sediment was established for Chesapeake Bay to attain water-quality standards. Six states and the District of Columbia agreed to reduce loads to the bay and to meet load allocation goals for the TMDL. The USGS has been estimating annual sediment loads at the Susquehanna River at Marietta, Pennsylvania (above Lake Clarke), and Susquehanna River at Conowingo, Maryland (below Conowingo Reservoir), since the mid-1980s to predict the mass balance of sediment transport through the reservoir system. Using streamflow and sediment data from the Susquehanna River at Harrisburg, Pennsylvania (upstream from the reservoirs), from 1900 to 1981, sediment loads were greatest in the early to mid-1900s when land disturbance activities from coal production and agriculture were at their peak. Sediment loads declined in the 1950s with the introduction of agricultural soil conservation practices. Loads were dominated by climatic factors in the 1960s (drought) and 1970s (very wet) and have been declining since the 1980s through 2012. The USGS developed a regression equation to predict the sediment scour load for daily mean streamflows greater than 300,000 cubic feet per second for the Lower Susquehanna River reservoirs. A compilation of data from various sources produced a range in total sediment transported through the reservoir system and allowed for apportioning to source (watershed or scour) for various streamflows. In 2011, Conowingo Reservoir was estimated to be about 92 percent of sediment storage capacity. Since construction of Conowingo Dam in 1929 through 2012, approximately 470 million tons of sediment was transported down the Susquehanna River into the reservoir system, approximately 290 million tons were trapped, and approximately 180 million tons were transported to Chesapeake Bay. Spatial and estimated total sand deposition in Conowingo Reservoir based on historical sediment cores indicated continued migration of sand downgradient toward the dam and the winnowing of silts and clays near the dam due to&nbsp;scour.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141235","usgsCitation":"Langland, M.J., 2015, Sediment transport and capacity change in three reservoirs, Lower Susquehanna River Basin, Pennsylvania and Maryland, 1900-2012: U.S. Geological Survey Open-File Report 2014-1235, vi, 18 p., https://doi.org/10.3133/ofr20141235.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1900-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-058536","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":297804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141235.jpg"},{"id":297803,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1235/pdf/ofr2014-1235.pdf","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297802,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1235/"}],"scale":"24000","country":"United States","state":"Maryland, Pennsylvania","otherGeospatial":"Conowingo Reservoir, Lake Aldred, Lake Clarke, Susquehanna River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.60354614257812,\n              40.04338625950062\n            ],\n            [\n              -76.59942626953125,\n              40.063358664163296\n            ],\n            [\n              -76.53076171875,\n              40.063358664163296\n            ],\n            [\n              -76.44973754882812,\n              39.96870074491696\n            ],\n            [\n              -76.365966796875,\n              39.91605629078665\n            ],\n            [\n              -76.23550415039062,\n              39.761047087593965\n            ],\n            [\n              -76.18057250976562,\n              39.67125632523974\n            ],\n            [\n              -76.19979858398438,\n              39.66068502219227\n            ],\n            [\n              -76.24923706054688,\n              39.69239407904182\n            ],\n            [\n              -76.2725830078125,\n              39.75999140525313\n            ],\n            [\n              -76.35772705078125,\n              39.829631721333726\n            ],\n            [\n              -76.38519287109375,\n              39.86547951378614\n            ],\n            [\n              -76.4044189453125,\n              39.91078961774283\n            ],\n            [\n              -76.48544311523436,\n              39.945542175353026\n            ],\n            [\n              -76.53762817382812,\n              40.04128356064847\n            ],\n            [\n              -76.60354614257812,\n              40.04338625950062\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7f0e4b02d776a669ea9","contributors":{"authors":[{"text":"Langland, Michael J. 0000-0002-8350-8779 langland@usgs.gov","orcid":"https://orcid.org/0000-0002-8350-8779","contributorId":2347,"corporation":false,"usgs":true,"family":"Langland","given":"Michael","email":"langland@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537004,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70144681,"text":"70144681 - 2015 - The 21 May 2014 <i>M</i><sub>w</sub> 5.9 Bay of Bengal earthquake: macroseismic data suggest a high‐stress‐drop event","interactions":[],"lastModifiedDate":"2015-03-31T10:56:24","indexId":"70144681","displayToPublicDate":"2015-02-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The 21 May 2014 <i>M</i><sub>w</sub> 5.9 Bay of Bengal earthquake: macroseismic data suggest a high‐stress‐drop event","docAbstract":"<p><span>A modest but noteworthy&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;5.9 earthquake occurred in the Bay of Bengal beneath the central Bengal fan at 21:51 Indian Standard Time (16:21 UTC) on 21 May 2014. Centered over 300&nbsp;km from the eastern coastline of India (Fig.&nbsp;1), it caused modest damage by virtue of its location and magnitude. However, shaking was very widely felt in parts of eastern India where earthquakes are uncommon. Media outlets reported as many as four fatalities. Although most deaths were blamed on heart attacks, the death of one woman was attributed by different sources to either a roof collapse or a stampede (see</span><span>&nbsp;Table&nbsp;S1, available in the electronic supplement to this article). Across the state of Odisha, as many as 250 people were injured (see</span><span>&nbsp;Table&nbsp;S1), most after jumping from balconies or terraces. Light damage was reported from a number of towns on coastal deltaic sediments, including collapsed walls and damage to pukka and thatched dwellings. Shaking was felt well inland into east‐central India and was perceptible in multistoried buildings as far as Chennai, Delhi, and Jaipur at distances of &asymp;1600&thinsp;&thinsp;km (Table&nbsp;1).</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140155","usgsCitation":"Martin, S., and Hough, S.E., 2015, The 21 May 2014 <i>M</i><sub>w</sub> 5.9 Bay of Bengal earthquake: macroseismic data suggest a high‐stress‐drop event: Seismological Research Letters, v. 86, no. 2A, p. 369-377, https://doi.org/10.1785/0220140155.","productDescription":"9 p.","startPage":"369","endPage":"377","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058318","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472274,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220140155","text":"External Repository"},{"id":299197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Bay of Bengal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              79.8486328125,\n              10.401377554543553\n            ],\n            [\n              79.8486328125,\n              11.652236404115413\n            ],\n            [\n              80.4638671875,\n              13.410994034321702\n            ],\n            [\n              80.1123046875,\n              15.496032414238634\n            ],\n            [\n              82.2216796875,\n              16.341225619207496\n            ],\n            [\n              82.529296875,\n              17.014767530557833\n            ],\n            [\n              85.341796875,\n              19.394067895396628\n            ],\n            [\n              86.748046875,\n              20.262197124246534\n            ],\n            [\n              87.1875,\n              20.797201434307\n            ],\n            [\n              87.451171875,\n              21.4121622297254\n            ],\n            [\n              89.56054687499999,\n              21.616579336740603\n            ],\n            [\n              91.0546875,\n              21.90227796666864\n            ],\n            [\n              91.49414062499999,\n              22.024545601240337\n            ],\n            [\n              93.42773437499999,\n              19.228176737766262\n            ],\n            [\n              93.2958984375,\n              18.47960905583197\n            ],\n            [\n              93.8671875,\n              18.271086109608877\n            ],\n            [\n              94.39453125,\n              17.43451055152291\n            ],\n            [\n              94.1748046875,\n              16.003575733881327\n            ],\n            [\n              92.8564453125,\n              13.025965926333539\n            ],\n            [\n              92.28515625,\n              10.14193168613103\n            ],\n            [\n              93.4716796875,\n              7.013667927566642\n            ],\n            [\n              92.2412109375,\n              5.79089681287197\n            ],\n            [\n              88.0224609375,\n              4.959615024698026\n            ],\n            [\n              83.1005859375,\n              5.266007882805511\n            ],\n            [\n              82.0458984375,\n              7.318881730366756\n            ],\n            [\n              79.8486328125,\n              10.401377554543553\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-18","publicationStatus":"PW","scienceBaseUri":"551bc52ee4b0323842783a59","contributors":{"authors":[{"text":"Martin, Stacey","contributorId":35165,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":543768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":543767,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139648,"text":"70139648 - 2015 - Estuarine water quality in parks of the Northeast Coastal and Barrier Network: vital signs estuarine nutrient-enrichment monitoring, 2006-11","interactions":[],"lastModifiedDate":"2024-04-15T19:43:01.864073","indexId":"70139648","displayToPublicDate":"2015-02-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":54,"text":"Natural Resource Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCBN/NRR - 2015/902","title":"Estuarine water quality in parks of the Northeast Coastal and Barrier Network: vital signs estuarine nutrient-enrichment monitoring, 2006-11","docAbstract":"<p><span>This report summarizes results of water-quality monitoring within estuaries of the National Park Service Northeast Coastal and Barrier Network (NCBN) from 2006 through 2011. Data collection formed part of the NCBN Vital Signs Monitoring Program implemented to detect threats of estuarine nutrient enrichment. Data included here were collected from six parks at predetermined intervals: Cape Cod National Seashore, Massachusetts (2007, 2008, 2009, 2010, 2011); Fire Island National Seashore, New York (2009, 2011); Gateway National Recreation Area, New York and New Jersey (2010); Assateague Island National Seashore, Maryland and Virginia (2006, 2008, 2010); George Washington Birthplace National Monument, Virginia (2009, 2011); and Colonial National Historic Park, Virginia (2008, 2010). Monitoring variables consisted of dissolved-oxygen concentration, chlorophyll a concentration, attenuation of downwelling photosynthetically available radiation (PAR), turbidity, water temperature, and salinity. All monitoring was conducted during four-week summer index periods. The monitoring design incorporated data collection at multiple, complementary spatial and temporal scales. Within each park, a spatial survey was conducted once during the index period following a probability design using a grid of tessellated hexagons as the basis for sample site selection. The spatial survey was supplemented with weekly measurements at a subset of sites and continuous monitoring at a single reference site. Within parks, data were reported as area-weighted water-quality conditions during each index period, the location and extent of estuarine area within condition categories, and spatial and temporal trends. In addition, we used a repeated measures analysis of variance to determine the extent to which variability in three water quality metrics (chlorophyll a in surface water, dissolved oxygen in bottom water, and water clarity expressed by PAR attenuation) was explained by year to year changes in each park's respective estuary.&nbsp;</span></p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Caldwell, J.M., Nixon, M.E., Neckles, H.A., and Pooler, P.S., 2015, Estuarine water quality in parks of the Northeast Coastal and Barrier Network: vital signs estuarine nutrient-enrichment monitoring, 2006-11: Natural Resource Technical Report NPS/NCBN/NRR - 2015/902, xxi, 182 p.","productDescription":"xxi, 182 p.","numberOfPages":"208","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-060474","costCenters":[{"id":371,"text":"Maine Water Science 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E.","contributorId":138972,"corporation":false,"usgs":false,"family":"Nixon","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":12603,"text":"IAP World Services, U.S. Geological Survey, 196 Whitten Rd., Augusta, ME 04330","active":true,"usgs":false}],"preferred":false,"id":539495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":539496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pooler, Penelope S.","contributorId":51018,"corporation":false,"usgs":true,"family":"Pooler","given":"Penelope","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":539497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70138661,"text":"ofr20131070 - 2015 - Environmental assessment of water, sediment, and biota collected from the Bear Creek watershed, Colusa County, California","interactions":[],"lastModifiedDate":"2015-02-18T09:08:52","indexId":"ofr20131070","displayToPublicDate":"2015-02-17T17:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1070","title":"Environmental assessment of water, sediment, and biota collected from the Bear Creek watershed, Colusa County, California","docAbstract":"<p>The Cache Creek watershed lies within California's North Coast Range, an area with abundant geologic sources of mercury (Hg) and a long history of Hg contamination (Rytuba, 2000). Bear Creek, Cache Creek, and the North Fork of Cache Creek are the major streams of the Cache Creek watershed, encompassing 2978 km<sup>2</sup>. The Cache Creek watershed contains soils naturally enriched in Hg as well as natural springs (both hot and cold) with varying levels of aqueous Hg (Domagalski and others, 2004, Suchanek and others, 2004, Holloway and others 2009). All three tributaries are known to be significant sources of anthropogenically derived Hg from historic mines, both Hg and gold (Au), and associated ore storage/processing sites and facilities (Slotton and others, 1995, 2004; CVRWQCB, 2003; Schwarzbach and others, 2001; Gassel and others, 2005; Suchanek and others., 2004, 2008a, 2009). Historically, two of the primary sources of mercury contamination in the upper part of Bear Creek have been the Rathburn and Petray Hg Mines. <br /><br />The Rathburn Hg mine was discovered and initially mined in the early 1890s. The Rathburn and the more recently developed Petray open pit mines are localized along fault zones in serpentinite that has been altered and cut by quartz and chalcedony veins. Cold saline-carbonate springs are located perepheral to the Hg deposits and effluent from the springs locally has high concentrations of Hg (Slowey and Rytuba, 2008). Several ephemeral tributaries to Bear Creek drain the mine area which is located on federal land managed by the U.S. Bureau of Land Management (USBLM). The USBLM requested that the U.S. Geological Survey (USGS) measure and characterize Hg and other geochemical constituents in sediment, water, and biota to establish baseline information prior to remediation of the Rathburn and Petray mines. Samples sites were established in Bear Creek upstream and downstream from the mine area. This report is made in response to the USBLM request, the lead agency mandated to conduct a Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) - Removal Site Investigation (RSI). The RSI applies to the possible removal of Hg-contaminated mine waste from Bear Creek. <br /><br />This report summarizes data obtained from field sampling of water, sediment, and biota in Bear Creek, above input from the mine area and downstream from the Rathburn-Petray mine area to the confluence with Cache Creek. Our results permit a preliminary assessment of the chemical constituents that could elevate levels of monomethyl Hg (MMeHg) in Bear Creek and its uptake by biota and provide baseline information for comparison to conditions after mine remediation is completed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131070","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Rytuba, J.J., Hothem, R.L., Brussee, B.E., Goldstein, D., and May, J.T., 2015, Environmental assessment of water, sediment, and biota collected from the Bear Creek watershed, Colusa County, California: U.S. Geological Survey Open-File Report 2013-1070, viii, 83 p., https://doi.org/10.3133/ofr20131070.","productDescription":"viii, 83 p.","numberOfPages":"91","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042406","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":298002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131070.gif"},{"id":298000,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1070/"},{"id":298001,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1070/downloads/ofr2013-1070.pdf","text":"Report","size":"16.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2013-1070 Report"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Bear Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.16659545898438,\n              39.118341154165186\n            ],\n            [\n              -122.16659545898438,\n              39.31676914869444\n            ],\n            [\n              -121.80198669433592,\n              39.31676914869444\n            ],\n            [\n              -121.80198669433592,\n              39.118341154165186\n            ],\n            [\n              -122.16659545898438,\n              39.118341154165186\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e46629e4b08de9379b5547","contributors":{"authors":[{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":540712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Daniel dgoldstein@usgs.gov","contributorId":4656,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel","email":"dgoldstein@usgs.gov","affiliations":[],"preferred":true,"id":540715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70137844,"text":"70137844 - 2015 - Yellowstone plume trigger for Basin and Range extension, and coeval emplacement of the Nevada–Columbia Basin magmatic belt","interactions":[],"lastModifiedDate":"2021-08-31T14:58:18.760265","indexId":"70137844","displayToPublicDate":"2015-02-17T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Yellowstone plume trigger for Basin and Range extension, and coeval emplacement of the Nevada–Columbia Basin magmatic belt","docAbstract":"<p>Widespread extension began across the northern and central Basin and Range Province at 17&ndash;16 Ma, contemporaneous with magmatism along the Nevada&ndash;Columbia Basin magmatic belt, a linear zone of dikes and volcanic centers that extends for &gt;1000 km, from southern Nevada to the Columbia Basin of eastern Washington. This belt was generated above an elongated sublithospheric melt zone associated with arrival of the Yellowstone mantle plume, with a north-south tabular shape attributed to plume ascent through a propagating fracture in the Juan de Fuca slab. Dike orientation along the magmatic belt suggests an extension direction of 245&deg;&ndash;250&deg;, but this trend lies oblique to the regional extension direction of 280&deg;&ndash;300&deg; during coeval and younger Basin and Range faulting, an &sim;45&deg; difference. Field relationships suggest that this magmatic trend was not controlled by regional stress in the upper crust, but rather by magma overpressure from below and forceful dike injection with an orientation inherited from a deeper process in the sublithospheric mantle. The southern half of the elongated zone of mantle upwelling was emplaced beneath a cratonic lithosphere with an elevated surface derived from Late Cretaceous to mid-Tertiary crustal thickening. This high Nevadaplano was primed for collapse with high gravitational potential energy under the influence of regional stress, partly derived from boundary forces due to Pacific&ndash;North American plate interaction. Plume arrival at 17&ndash;16 Ma resulted in advective thermal weakening of the lithosphere, mantle traction, delamination, and added buoyancy to the northern and central Basin and Range. It was not the sole cause of Basin and Range extension, but rather the catalyst for extension of the Nevadaplano, which was already on the verge of regional collapse.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder","doi":"10.1130/GES01051.1","usgsCitation":"Camp, V., Pierce, K.L., and Morgan Morzel, L., 2015, Yellowstone plume trigger for Basin and Range extension, and coeval emplacement of the Nevada–Columbia Basin magmatic belt: Geosphere, v. 11, no. 2, p. 203-225, https://doi.org/10.1130/GES01051.1.","productDescription":"23 p.","startPage":"203","endPage":"225","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062304","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01051.1","text":"Publisher Index Page"},{"id":310249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.43115234375,\n              36.96744946416931\n            ],\n            [\n              -124.43115234375,\n              46.830133640447386\n            ],\n            [\n              -113.51074218749999,\n              46.830133640447386\n            ],\n            [\n              -113.51074218749999,\n              36.96744946416931\n            ],\n            [\n              -124.43115234375,\n              36.96744946416931\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5628b74fe4b0d158f5926c68","contributors":{"authors":[{"text":"Camp, Victor E","contributorId":138632,"corporation":false,"usgs":false,"family":"Camp","given":"Victor E","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":538160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Kenneth L. kpierce@usgs.gov","contributorId":1609,"corporation":false,"usgs":true,"family":"Pierce","given":"Kenneth","email":"kpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":538161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan Morzel, Lisa Ann lmorgan@usgs.gov","contributorId":761,"corporation":false,"usgs":true,"family":"Morgan Morzel","given":"Lisa Ann","email":"lmorgan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":538159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70141292,"text":"70141292 - 2015 - The dominance of introduced plant species in the diets of migratory Galapagos tortoises increases with elevation on a human-occupied island","interactions":[],"lastModifiedDate":"2015-03-09T10:56:48","indexId":"70141292","displayToPublicDate":"2015-02-17T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1045,"text":"Biotropica","active":true,"publicationSubtype":{"id":10}},"title":"The dominance of introduced plant species in the diets of migratory Galapagos tortoises increases with elevation on a human-occupied island","docAbstract":"<p>The distribution of resources and food selection are fundamental to the ecology, life history, physiology, population dynamics, and conservation of animals. Introduced plants are changing foraging dynamics of herbivores in many ecosystems often with unknown consequences. Galapagos tortoises, like many herbivores, undertake migrations along elevation gradients driven by variability in vegetation productivity which take them into upland areas dominated by introduced plants. We sought to characterize diet composition of two species of Galapagos tortoises, focussing on how the role of introduced forage species changes over space and the implications for tortoise conservation. We quantified the distribution of tortoises with elevation using GPS telemetry. Along the elevation gradient, we quantified the abundance of introduced and native plant species, estimated diet composition by recording foods consumed by tortoises, and assessed tortoise physical condition from body weights and blood parameter values. Tortoises ranged between 0 and 429 m in elevation over which they consumed at least 64 plant species from 26 families, 44 percent of which were introduced species. Cover of introduced species and the proportion of introduced species in tortoise diets increased with elevation. Introduced species were positively selected for by tortoises at all elevations. Tortoise physical condition was either consistent or increased with elevation at the least biologically productive season on Galapagos. Santa Cruz tortoises are generalist herbivores that have adapted their feeding behavior to consume many introduced plant species that has likely made a positive contribution to tortoise nutrition. Some transformed habitats that contain an abundance of introduced forage species are compatible with tortoise conservation.</p>","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1111/btp.12195","usgsCitation":"Blake, S., Guezou, A., Deem, S.L., Yackulic, C.B., and Cabrera, F., 2015, The dominance of introduced plant species in the diets of migratory Galapagos tortoises increases with elevation on a human-occupied island: Biotropica, v. 47, no. 2, p. 246-258, https://doi.org/10.1111/btp.12195.","productDescription":"13 p.","startPage":"246","endPage":"258","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057320","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":297997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Galapagos Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.97753906249999,\n              -1.8398936649834996\n            ],\n            [\n              -91.97753906249999,\n              1.1315182387740395\n            ],\n            [\n              -88.857421875,\n              1.1315182387740395\n            ],\n            [\n              -88.857421875,\n              -1.8398936649834996\n            ],\n            [\n              -91.97753906249999,\n              -1.8398936649834996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-13","publicationStatus":"PW","scienceBaseUri":"54e4662ce4b08de9379b5549","contributors":{"authors":[{"text":"Blake, Stephen","contributorId":65339,"corporation":false,"usgs":false,"family":"Blake","given":"Stephen","email":"","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false},{"id":30787,"text":"Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":540656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guezou, Anne","contributorId":139276,"corporation":false,"usgs":false,"family":"Guezou","given":"Anne","email":"","affiliations":[{"id":12718,"text":"Charles Darwin Foundation","active":true,"usgs":false}],"preferred":false,"id":540657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deem, Sharon L.","contributorId":139277,"corporation":false,"usgs":false,"family":"Deem","given":"Sharon","email":"","middleInitial":"L.","affiliations":[{"id":12719,"text":"Whitney R. Harris, World Ecology Center, Uni. of Missouri St. Louis","active":true,"usgs":false}],"preferred":false,"id":540658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cabrera, Fredy","contributorId":139278,"corporation":false,"usgs":false,"family":"Cabrera","given":"Fredy","affiliations":[{"id":12718,"text":"Charles Darwin Foundation","active":true,"usgs":false}],"preferred":false,"id":540660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70142050,"text":"70142050 - 2015 - Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (<i>Gopherus agassizii</i>)","interactions":[],"lastModifiedDate":"2015-03-09T11:06:02","indexId":"70142050","displayToPublicDate":"2015-02-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (<i>Gopherus agassizii</i>)","docAbstract":"<p><span>Understanding the relationships between environmental variables and wildlife activity is an important part of effective management. The desert tortoise (</span><i>Gopherus agassizii</i><span>), an imperiled species of arid environments in the southwest US, may have increasingly restricted windows for activity due to current warming trends. In summer 2013, we deployed 48 motion sensor cameras at the entrances of tortoise burrows to investigate the effects of temperature, sex, and day of the year on the activity of desert tortoises. Using generalized estimating equations, we found that the relative probability of activity was associated with temperature (linear and quadratic), sex, and day of the year. Sex effects showed that male tortoises are generally more active than female tortoises. Temperature had a quadratic effect, indicating that tortoise activity was heightened at a range of temperatures. In addition, we found significant support for interactions between sex and day of the year, and sex and temperature as predictors of the probability of activity. Using our models, we were able to estimate air temperatures and times (days and hours) that were associated with maximum activity during the study. Because tortoise activity is constrained by environmental conditions such as temperature, it is increasingly vital to conduct studies on how tortoises vary their activity throughout the Sonoran Desert to better understand the effects of a changing climate.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2015.02.009","usgsCitation":"Agha, M., Augustine, B., Lovich, J.E., Delaney, D.F., Sinervo, B., Murphy, M.O., Ennen, J., Briggs, J.R., Cooper, R.J., and Price, S.J., 2015, Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (<i>Gopherus agassizii</i>): Journal of Thermal Biology, v. 49-50, p. 119-126, https://doi.org/10.1016/j.jtherbio.2015.02.009.","productDescription":"8 p.","startPage":"119","endPage":"126","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059750","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":298177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Riverside County","city":"Palm Springs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.71874999999999,\n              33.502468829034314\n            ],\n            [\n              -116.71874999999999,\n              33.994611584814606\n            ],\n            [\n              -116.30813598632812,\n              33.994611584814606\n            ],\n            [\n              -116.30813598632812,\n              33.502468829034314\n            ],\n            [\n              -116.71874999999999,\n              33.502468829034314\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49-50","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f1954be4b02419550ceb05","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":541580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Benjamin","contributorId":139507,"corporation":false,"usgs":false,"family":"Augustine","given":"Benjamin","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":541581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":541579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delaney, David F.","contributorId":41797,"corporation":false,"usgs":false,"family":"Delaney","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":27261,"text":"U.S. Army Construction Engineering Research Laboratory, Champaig","active":true,"usgs":false}],"preferred":false,"id":541582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sinervo, Barry","contributorId":139508,"corporation":false,"usgs":false,"family":"Sinervo","given":"Barry","email":"","affiliations":[{"id":12781,"text":"Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA. lizardrps@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541583,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Mason O.","contributorId":139509,"corporation":false,"usgs":false,"family":"Murphy","given":"Mason","email":"","middleInitial":"O.","affiliations":[{"id":12782,"text":"Department of Biology, University of Kentucky, Lexington, KY 40546, USA.  mason.murphy@uky.edu","active":true,"usgs":false}],"preferred":false,"id":541584,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":541585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briggs, Jessica R.","contributorId":139510,"corporation":false,"usgs":false,"family":"Briggs","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":12783,"text":"Warner College of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA","active":true,"usgs":false}],"preferred":false,"id":541588,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooper, Robert J.","contributorId":99245,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":541586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Price, Steven J. 0000-0002-2388-0579","orcid":"https://orcid.org/0000-0002-2388-0579","contributorId":57738,"corporation":false,"usgs":false,"family":"Price","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":541587,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70139718,"text":"ds905 - 2015 - Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013","interactions":[],"lastModifiedDate":"2015-02-16T10:00:19","indexId":"ds905","displayToPublicDate":"2015-02-16T11:00:00","publicationYear":"2015","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":"905","title":"Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013","docAbstract":"<p>This report describes a reconnaissance study of estuarine bed-sediment quality conducted June&ndash;October 2013 in New Jersey and New York after Hurricane Sandy in October 2012 to assess the extent of contamination and the potential long-term human and ecological impacts of the storm. The study, funded through the Disaster Relief Appropriations Act of 2013 (PL 113-2), was conducted by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency and the National Oceanographic and Atmospheric Administration. In addition to presenting the bed-sediment-quality data, the report describes the study design, documents the methods of sample collection and analysis, and discusses the steps taken to assure the quality of&nbsp;the&nbsp;data.</p>\n<p>Bed-sediment samples were collected from June to October 2013 from 167 estuarine sites extending from Cape May, New Jersey, to the New York Harbor and the eastern end of Long Island. Each sampling location and study region was characterized by using geographic information to identify potential contaminant sources. Characterizations included land cover, locations and types of businesses (industrial, financial, and others), spills (sewage, chemical, and others), bulk storage facilities, effluent discharges within 2&nbsp;kilometers of the sampling point, and discharges within inundated and non-inundated regions near the sampling location. Samples were analyzed for particle size, total organic carbon, metals and trace elements, semivolatile organic compounds, wastewater compounds, hormones, and sediment toxicity. Samples were also screened using x-ray fluorescence, Fourier transform infrared spectroscopy, and x-ray diffraction. In addition, bioassays for endocrine disruptors and protein phosphatase 2A inhibition were conducted. The study was designed to provide the data needed to understand the extent and sources of contamination resulting from Hurricane Sandy, to compare the chemistry and toxicity of estuarine bed sediments before and after the storm, and to evaluate the usefulness of rapid screening and bioassay approaches in&nbsp;disaster&nbsp;settings.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds905","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation, New York City Department of Environmental Protection, Suffolk County Department of Health Services, and Town of Hempstead","usgsCitation":"Fischer, J., Phillips, P., Reilly, T.J., Focazio, M.J., Loftin, K.A., Benzel, W., Jones, D.K., Smalling, K., Fisher, S.C., Fisher, I., Iwanowicz, L., Romanok, K., 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