{"pageNumber":"711","pageRowStart":"17750","pageSize":"25","recordCount":68919,"records":[{"id":70047199,"text":"70047199 - 2011 - Simultaneous speciation of arsenic, selenium, and chromium: species, stability, sample preservation, and analysis of ash and soil leachates","interactions":[],"lastModifiedDate":"2013-07-25T10:05:56","indexId":"70047199","displayToPublicDate":"2011-11-01T09:55:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":764,"text":"Analytical and Bioanalytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Simultaneous speciation of arsenic, selenium, and chromium: species, stability, sample preservation, and analysis of ash and soil leachates","docAbstract":"An analytical method using high-performance liquid chromatography separation with inductively coupled plasma mass spectrometry (ICP-MS) detection previously developed for the determination of Cr(III) and Cr(VI) has been adapted to allow the determination of As(III), As(V), Se(IV), Se(VI), Cr(III), and Cr(VI) under the same chromatographic conditions. Using this method, all six inorganic species can be determined in less than 3 min. A dynamic reaction cell (DRC)-ICP-MS system was used to detect the species eluted from the chromatographic column in order to reduce interferences. A variety of reaction cell gases and conditions may be utilized with the DRC-ICP-MS, and final selection of conditions is determined by data quality objectives. Results indicated all starting standards, reagents, and sample vials should be thoroughly tested for contamination. Tests on species stability indicated that refrigeration at 10° C was preferential to freezing for most species, particularly when all species were present, and that sample solutions and extracts should be analyzed as soon as possible to eliminate species instability and interconversion effects. A variety of environmental and geological samples, including waters and deionized water [leachates] and simulated biological leachates from soils and wildfire ashes have been analyzed using this method. Analytical spikes performed on each sample were used to evaluate data quality. Speciation analyses were conducted on deionized water leachates and simulated lung fluid leachates of ash and soils impacted by wildfires. These results show that, for leachates containing high levels of total Cr, the majority of the chromium was present in the hexavalent Cr(VI) form. In general, total and hexavalent chromium levels for samples taken from burned residential areas were higher than those obtained from non-residential forested areas. Arsenic, when found, was generally in the more oxidized As(V) form. Selenium (IV) and (VI) were present, but typically at low levels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Analytical and Bioanalytical Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00216-011-5275-x","usgsCitation":"Wolf, R.E., Morman, S.A., Hageman, P.L., Hoefen, T.M., and Plumlee, G.S., 2011, Simultaneous speciation of arsenic, selenium, and chromium: species, stability, sample preservation, and analysis of ash and soil leachates: Analytical and Bioanalytical Chemistry, v. 9, no. 401, p. 2733-2745, https://doi.org/10.1007/s00216-011-5275-x.","productDescription":"13 p.","startPage":"2733","endPage":"2745","numberOfPages":"13","ipdsId":"IP-029824","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":275374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275357,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00216-011-5275-x"},{"id":275358,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00216-011-5275-x#page-1"}],"volume":"9","issue":"401","noUsgsAuthors":false,"publicationDate":"2011-08-12","publicationStatus":"PW","scienceBaseUri":"51f25423e4b0279fe2e1c02a","contributors":{"authors":[{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481333,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005872,"text":"fs20113133 - 2011 - A promising tool for subsurface permafrost mapping-An application of airborne geophysics from the Yukon River Basin, Alaska","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"fs20113133","displayToPublicDate":"2011-11-01T00:00:00","publicationYear":"2011","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":"2011-3133","title":"A promising tool for subsurface permafrost mapping-An application of airborne geophysics from the Yukon River Basin, Alaska","docAbstract":"Permafrost is a predominant physical feature of the Earth's Arctic and Subarctic clines and a major consideration encompassing ecosystem structure to infrastructure engineering and placement. Perennially frozen ground is estimated to cover about 85 percent of the state of Alaska where northern reaches are underlain with continuous permafrost and parts of interior Alaska are underlain by areas of discontinuous and (or) sporadic permafrost (fig. 1). The region of Interior Alaska, where permafrost is scattered among unfrozen ground, is a complex mosaic of terrains and habitats. Such diversity creates arrays of lakes and surface-water and groundwater patterns that continental populations of migratory waterfowl and internationally significant fisheries have adapted to over time. A road or pipeline might pass over frozen and unfrozen ground, affecting the types of materials and engineering approaches needed to sustain the infrastructure.\nEffective mapping of discontinuous permafrost at scales meaningful ecologically and (or) from an engineering perspective has been a long-standing challenge. Using techniques such as borehole logging for site-specific assessments or botanical techniques that can suggest underlying permafrost distributions can be labor intensive and difficult to accomplish at the scale and remoteness of much of Alaska.\nThe climate is changing in the Arctic and Subarctic regions. The warming observed throughout much of Alaska could create widespread changes in permafrost. How the warming of the permafrost affects near-surface processes, ecosystems, and community infrastructure and ecosystems is not clear. A better understanding of the dynamic distribution and physical properties of permafrost, from continuous to discontinuous, will provide knowledge of how the permafrost environment may change in the future and help inform engineering and natural resource response strategies.\nHere we discuss an application of an airborne remote sensing methodology for mapping and shade imaging permafrost characteristics at various scales. This work provides the first look into three-dimensional distribution of permafrost in the areas around Fort Yukon and is a demonstration of the application of airborne electromagnetic (AEM) to permafrost mapping. Such an approach is attractive, particularly in Arctic and Subarctic studies, where ground access is difficult and ecosystems are fragile.\nIn June 2010, the U.S. Geological Survey (USGS) conducted an AEM survey near Fort Yukon, Alaska. The primary focus of this survey was to map the distribution of permafrost in selected areas in order to supply information for the development of groundwater models of the Yukon River Basin. However, the methodologies have more far-reaching ecological and engineering applications. Approximately 1,800 line kilometers were acquired in a combination of typical block style surveying in the immediate area of Fort Yukon and in long reconnaissance lines over a broader area. The widely spaced lines were flown to cross the modern Yukon River in \"X\" like patterns with intersections at features that have been previously studied (fig. 2).\nAEM is used to gather data on the electrical resistivity of materials in the subsurface below the flight path of the helicopter, which are then analyzed to interpret the subsurface lithology and the location and extent of permafrost. For this survey, the electrical resistivity was imaged to depths on the order of 50-100 meters. Images from the survey can be qualitatively compared with known permafrost features and suggest new permafrost features. Electrical properties of earth materials are affected by lithology as well as temperature and the presence of ice; frozen materials become substantially more resistive. This allows for the identification of permafrost from the resistivity image (Abraham and others, 2011).\nIn the area of Fort Yukon, the AEM survey shows elevated resistivities extending to depth, likely indicative of thick permafrost. This depth corresponds well to observations from a borehole drilled in the area in the late 1990s, which detected permafrost to a depth of about 100 meters (Clark and others, 2009). In contrast to the area of Fort Yukon, the Yukon River and its floodplain are not associated with deep resistive sediments, suggesting a lack of deep permafrost, at least within the depth range of the AEM mapping (fig. 3).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113133","usgsCitation":"Abraham, J.E., 2011, A promising tool for subsurface permafrost mapping-An application of airborne geophysics from the Yukon River Basin, Alaska: U.S. Geological Survey Fact Sheet 2011-3133, 4 p., https://doi.org/10.3133/fs20113133.","productDescription":"4 p.","costCenters":[{"id":542,"text":"Regional Executive for Alaska","active":false,"usgs":true}],"links":[{"id":116304,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3133.png"},{"id":94600,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3133/","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","otherGeospatial":"Yukon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.5,66 ], [ -149.5,67.5 ], [ -143,67.5 ], [ -143,66 ], [ -149.5,66 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8d0d","contributors":{"authors":[{"text":"Abraham, Jared E.","contributorId":73739,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353426,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005729,"text":"fs20113025 - 2011 - Department of the Interior Climate Science Centers","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"fs20113025","displayToPublicDate":"2011-10-31T00:00:00","publicationYear":"2011","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":"2011-3025","title":"Department of the Interior Climate Science Centers","docAbstract":"What is a Climate Science Center? On September 14, 2009, the Secretary of the Interior signed a Secretarial Order (No. 3289) entitled, \"Addressing the Impacts of Climate Change on America's Water, Land, and Other Natural and Cultural Resources.\" The Order effectively established the U.S. Department of the Interior (DOI) Climate Science Centers (CSCs), which will integrate DOI science and management expertise with similar contributions from our partners to provide information to support adaptation and mitigation efforts on both public and private lands, across the United States and internationally.The Southeast CSC, hosted by NC State University (NCSU), will collaborate with a number of other universities, State and Federal agencies, and nongovernmental organizations (NGOs) with interest and expertise in climate science. The primary partner for the Southeast CSC will be the Landscape Conservation Cooperatives (LCCs) in the Southeast, including the Appalachian, Gulf Coastal Plains and Ozarks, Gulf Coast Prairie, Peninsular Florida, and the South Atlantic. CSC collaborations are focused on common science priorities, addressing priority partner needs, minimizing redundancies in science, sharing scientific findings, and expanding understanding of climate change impacts in the Southeast.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113025","usgsCitation":"Jones, S.A., 2011, Department of the Interior Climate Science Centers: U.S. Geological Survey Fact Sheet 2011-3025, 2 p., https://doi.org/10.3133/fs20113025.","productDescription":"2 p.","startPage":"1","endPage":"2","numberOfPages":"2","additionalOnlineFiles":"N","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":116365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3025.jpg"},{"id":94580,"rank":200,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3025/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab1e4b07f02db66eab2","contributors":{"authors":[{"text":"Jones, Sonya A. 0000-0002-7462-8576 sajones@usgs.gov","orcid":"https://orcid.org/0000-0002-7462-8576","contributorId":1690,"corporation":false,"usgs":true,"family":"Jones","given":"Sonya","email":"sajones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":353130,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005865,"text":"ds641 - 2011 - National Stream Quality Accounting Network and National Monitoring Network Basin Boundary Geospatial Dataset, 2008–13","interactions":[],"lastModifiedDate":"2013-06-04T13:13:42","indexId":"ds641","displayToPublicDate":"2011-10-31T00:00:00","publicationYear":"2011","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":"641","title":"National Stream Quality Accounting Network and National Monitoring Network Basin Boundary Geospatial Dataset, 2008–13","docAbstract":"This report and the accompanying geospatial data were created to assist in analysis and interpretation of water-quality data provided by the U.S. Geological Survey's National Stream Quality Accounting Network (NASQAN) and by the U.S. Coastal Waters and Tributaries National Monitoring Network (NMN), which is a cooperative monitoring program of Federal, regional, and State agencies. The report describes the methods used to develop the geospatial data, which was primarily derived from the National Watershed Boundary Dataset. The geospatial data contains polygon shapefiles of basin boundaries for 33 NASQAN and 5 NMN streamflow and water-quality monitoring stations. In addition, 30 polygon shapefiles of the closed and noncontributing basins contained within the NASQAN or NMN boundaries are included. Also included is a point shapefile of the NASQAN and NMN monitoring stations and associated basin and station attributes. Geospatial data for basin delineations, associated closed and noncontributing basins, and monitoring station locations are available at http://water.usgs.gov/GIS/metadata/usgswrd/XML/ds641_nasqan_wbd12.xml.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds641","usgsCitation":"Baker, N.T., 2011, National Stream Quality Accounting Network and National Monitoring Network Basin Boundary Geospatial Dataset, 2008–13: U.S. Geological Survey Data Series 641, iv, 16 p.; Link to Metadata, https://doi.org/10.3133/ds641.","productDescription":"iv, 16 p.; Link to Metadata","startPage":"i","endPage":"16","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":116366,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_641.gif"},{"id":94577,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/641/","linkFileType":{"id":5,"text":"html"}},{"id":273223,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds641_nasqan_wbd12.xml"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6987d8","contributors":{"authors":[{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353423,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048700,"text":"fs20113070 - 2011 - Assessment of groundwater pathways and contaminant transport in Florida and Georgia using multiple chemical and microbiological indicators","interactions":[],"lastModifiedDate":"2016-12-07T11:15:58","indexId":"fs20113070","displayToPublicDate":"2011-10-30T13:55:00","publicationYear":"2011","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":"2011-3070","title":"Assessment of groundwater pathways and contaminant transport in Florida and Georgia using multiple chemical and microbiological indicators","docAbstract":"The hydrogeology of Florida, especially in the northern part of the state, and southwestern Georgia is characterized by a predominance of limestone aquifers overlain by varying amounts of sands, silts, and clays. This karstic system of aquifers and their associated springs is particularly vulnerable to contamination from various anthropogenic activities at the land surface. Numerous sinkholes, disappearing streams, and conduit systems or dissolution pathways, often associated with large spring systems, allow rapid movement of contaminants from the land surface to the groundwater system with little or no attenuation or degradation. The fate of contaminants in the groundwater system is not fully understood, but traveltimes from sources are greatly reduced when conduits are intercepted by pumping wells and springs. Contaminant introduction to groundwater systems in Florida and Georgia is not limited to seepage from land surface, but can be associated with passive (drainage wells) and forced subsurface injection (aquifer storage and recovery, waste-water disposal).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113070","usgsCitation":"Mahon, G.L., 2011, Assessment of groundwater pathways and contaminant transport in Florida and Georgia using multiple chemical and microbiological indicators: U.S. Geological Survey Fact Sheet 2011-3070, HTML Document, https://doi.org/10.3133/fs20113070.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52722a69e4b0ce70249c9743","contributors":{"authors":[{"text":"Mahon, Gary L. 0000-0002-7410-0261 glmahon@usgs.gov","orcid":"https://orcid.org/0000-0002-7410-0261","contributorId":270,"corporation":false,"usgs":true,"family":"Mahon","given":"Gary","email":"glmahon@usgs.gov","middleInitial":"L.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":485463,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005767,"text":"70005767 - 2011 - Perfluorinated chemicals in surface waters and sediments from northwest Georgia, USA, and their bioaccumulation in Lumbriculus variegatus","interactions":[],"lastModifiedDate":"2020-01-28T08:16:03","indexId":"70005767","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Perfluorinated chemicals in surface waters and sediments from northwest Georgia, USA, and their bioaccumulation in <i>Lumbriculus variegatus</i>","title":"Perfluorinated chemicals in surface waters and sediments from northwest Georgia, USA, and their bioaccumulation in Lumbriculus variegatus","docAbstract":"<p><span>Concentrations of perfluorinated chemicals (PFCs) were measured in surface waters and sediments from the Coosa River watershed in northwest Georgia, USA, to examine their distribution downstream of a suspected source. Samples from eight sites were analyzed using liquid chromatography‐tandem mass spectrometry. Sediments were also used in 28‐d exposures with the aquatic oligochaete,&nbsp;</span><i>Lumbriculus variegatus</i><span>, to assess PFC bioaccumulation. Concentrations of PFCs in surface waters and sediments increased significantly below a land‐application site (LAS) of municipal/industrial wastewater and were further elevated by unknown sources downstream. Perfluorinated carboxylic acids (PFCAs) with eight or fewer carbons were the most prominent in surface waters. Those with 10 or more carbons predominated sediment and tissue samples. Perfluorooctane sulfonate (PFOS) was the major homolog in contaminated sediments and tissues. This pattern among sediment PFC concentrations was consistent among sites and reflected homolog concentrations emanating from the LAS. Concentrations of PFCs in oligochaete tissues revealed patterns similar to those observed in the respective sediments. The tendency to bioaccumulate increased with PFCA chain length and the presence of the sulfonate moiety. Biota‐sediment accumulation factors indicated that short‐chain PFCAs with fewer than seven carbons may be environmentally benign alternatives in aquatic ecosystems; however, sulfonates with four to seven carbons may be as likely to bioaccumulate as PFOS.&nbsp;</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","publisherLocation":"Brussels, Belgium","doi":"10.1002/etc.622","usgsCitation":"Lasier, P.J., Washington, J.W., Hassan, S.M., and Jenkins, T.M., 2011, Perfluorinated chemicals in surface waters and sediments from northwest Georgia, USA, and their bioaccumulation in Lumbriculus variegatus: Environmental Toxicology and Chemistry, v. 30, no. 10, p. 2194-2201, https://doi.org/10.1002/etc.622.","productDescription":"8 p.","startPage":"2194","endPage":"2201","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology 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,{"id":70005844,"text":"sir20105057 - 2011 - Development of flood-inundation maps for the West Branch Susquehanna River near the Borough of Jersey Shore, Lycoming County, Pennsylvania","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20105057","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","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":"2010-5057","title":"Development of flood-inundation maps for the West Branch Susquehanna River near the Borough of Jersey Shore, Lycoming County, Pennsylvania","docAbstract":"Streamflow data, water-surface-elevation profiles derived from a Hydrologic Engineering Center River Analysis System hydraulic model, and geographical information system digital elevation models were used to develop a set of 18 flood-inundation maps for an approximately 5-mile reach of the West Branch Susquehanna River near the Borough of Jersey Shore, Pa. The inundation maps were created by the U.S. Geological Survey in cooperation with the Susquehanna River Basin Commission and Lycoming County as part of an ongoing effort by the National Oceanic and Atmospheric Administration's National Weather Service to focus on continued improvements to the flood forecasting and warning abilities in the Susquehanna River Basin and to modernize flood-forecasting methodologies. The maps, ranging from 23.0 to 40.0 feet in 1-foot increments, correspond to river stage at the U.S. Geological Survey streamgage 01549760 at Jersey Shore. The electronic files used to develop the maps were provided to the National Weather Service for incorporation into their Advanced Hydrologic Prediction Service website. The maps are displayed on this website, which serves as a web-based floodwarning system, and can be used to identify areas of predicted flood inundation associated with forecasted flood-peak stages. During times of flooding or predicted flooding, these maps can be used by emergency managers and the public to take proactive steps to protect life and reduce property damage caused by floods.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105057","collaboration":"Prepared in cooperation with the Susquehanna River Basin Commission and Lycoming County","usgsCitation":"Roland, M.A., and Hoffman, S.A., 2011, Development of flood-inundation maps for the West Branch Susquehanna River near the Borough of Jersey Shore, Lycoming County, Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2010-5057, iv, 9 p., https://doi.org/10.3133/sir20105057.","productDescription":"iv, 9 p.","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":116364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5057.gif"},{"id":94467,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5057/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania","county":"Lycoming","city":"Borough Of Jersey Shore","otherGeospatial":"Wes Branch Susquehanna River Basin;Pine Creek;Larrys Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.31666666666666,41.166666666666664 ], [ -77.31666666666666,41.233333333333334 ], [ -77.2,41.233333333333334 ], [ -77.2,41.166666666666664 ], [ -77.31666666666666,41.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65dedf","contributors":{"authors":[{"text":"Roland, Mark A. 0000-0002-0268-6507 mroland@usgs.gov","orcid":"https://orcid.org/0000-0002-0268-6507","contributorId":2116,"corporation":false,"usgs":true,"family":"Roland","given":"Mark","email":"mroland@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Scott A. shoffman@usgs.gov","contributorId":2634,"corporation":false,"usgs":true,"family":"Hoffman","given":"Scott","email":"shoffman@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005845,"text":"sir20115180 - 2011 - Characterization of stormwater runoff from bridges in North Carolina and the effects of bridge deck runoff on receiving streams","interactions":[],"lastModifiedDate":"2017-01-17T11:22:54","indexId":"sir20115180","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","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":"2011-5180","title":"Characterization of stormwater runoff from bridges in North Carolina and the effects of bridge deck runoff on receiving streams","docAbstract":"In 2008, the North Carolina General Assembly passed House Bill 2436 that required the North Carolina Department of Transportation (NCDOT) to study the water-quality effects of bridges on receiving streams. In response, the NCDOT and the U.S. Geological Survey (USGS) collaborated on a study to provide information necessary to address the requirements of the Bill. To better understand the effects of stormwater runoff from bridges on receiving streams, the following tasks were performed: (1) characterize stormwater runoff quality and quantity from a representative selection of bridges in North Carolina; (2) measure stream water quality upstream from selected bridges to compare bridge deck stormwater concentrations and loads to stream constituent concentrations and loads; and (3) determine if the chemistry of bed sediments upstream and downstream from selected bridges differs substantially based on presence or absence of a best management practice for bridge runoff.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115180","collaboration":"Prepared in collaboration with the North Carolina Department of Transportation","usgsCitation":"Wagner, C., Fitzgerald, S., Sherrell, R.D., Harned, D.A., Staub, E.L., Pointer, B.H., and Wehmeyer, L.L., 2011, Characterization of stormwater runoff from 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,{"id":70005843,"text":"sir20105090c - 2011 - Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":70005843,"text":"sir20105090c - 2011 - Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>","indexId":"sir20105090c","publicationYear":"2011","noYear":false,"chapter":"C","title":"Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2015-06-19T10:52:47","indexId":"sir20105090c","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","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":"2010-5090","chapter":"C","title":"Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>","docAbstract":"<p>The U.S. Geological Survey does regional, national, and global assessments of resources (mineral, energy, water, biologic) to provide science in support of land management and decision making. Mineral resource assessments provide a synthesis of available information about where mineral deposits are known and suspected to be in the Earth&rsquo;s crust, which commodities may be present, and estimates of amounts of resources that may be present in undiscovered deposits.</p>\n<p>Canada is an important source of copper, consistently ranking as one of the top 10 world producers during the past decade (2000&ndash;2010). The preponderance of this production has been from porphyry-copper-type deposits in the western Canadian Cordillera. A probabilistic mineral resource assessment of undiscovered resources associated with porphyry copper deposits in western Canada was completed as part of a global mineral resource assessment. The purpose of the assessment was to (1) compile a database of known deposits and significant prospects, (2) delineate permissive areas (tracts) for undiscovered porphyry copper deposits that may be present in the upper kilometer (minimally) of the Earth&rsquo;s crust, and (3) provide probabilistic estimates of amounts of copper (Cu), molybdenum (Mo), gold (Au), and silver (Ag) that could be contained in undiscovered porphyry copper deposits in the tracts. The study was done by the U.S. Geological Survey (USGS) in collaboration with geologists from the British Columbia Geological Survey, Yukon Geological Survey, and industry consultants.</p>\n<p>The database of known deposits and significant prospects includes an inventory of mineral resources in 89 known porphyry copper (and 2 related copper-bearing polymetallic vein) ore zones, representing 50 porphyry copper deposits, and lists key characteristics of 280 additional porphyry copper and related copper-bearing prospects, as indicated by currently available exploration results, which also are summarized. Resource and exploration and development activity are updated with information current through April 2010.</p>\n<p>The delineation of permissive tracts and probabilistic estimation of resources in undiscovered deposits were done using the USGS three-part mineral resource assessment approach. Permissive tracts are defined in accordance with descriptive models for porphyry copper deposits to include igneous rocks and known deposits and prospects within magmatic arcs related to convergent plate-margin boundary zones. Frequency distributions of total tonnages and average grades of thoroughly explored deposits were used as models for undiscovered deposits and include a new grade and tonnage model for calc-alkaline porphyry Cu&plusmn;Mo&plusmn;Au deposits in western Canada.</p>\n<p>Five permissive tracts for the occurrence of porphyry copper deposits were delineated: 2 island-arc tracts, 1 tract of transitional, mixed island-arc and continental arc affinities, and 2 continental arc tracts. In permissive tract 003pCu2001, calc-alkaline igneous rocks of Middle Triassic to Late Jurassic age in accreted island-arc terranes of the Intermontane belt are assessed for calc-alkaline porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 175,250 km<sup>2</sup>. In 12 known deposits, the total reported tonnage of ore is 8,100 million metric tons (Mt) containing 24.6 Mt copper. An estimated 6.9 undiscovered deposits contain a calculated mean of 8.9 Mt copper and a median of 6.9 Mt copper. The spatial density for the 18.9 known plus estimated undiscovered deposits in this tract is approximately 11 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2002, alkaline igneous rocks of Middle Triassic to Late Jurassic age within the Intermontane accreted island-arc terranes are assessed for alkaline porphyry Cu-Au deposits. The area of this tract is 109,290 km<sup>2</sup>. In 12 known deposits the total reported tonnage of ore is 6,440 Mt, containing 20.9 Mt copper. An estimated 7 undiscovered deposits contain a calculated mean of 22 Mt copper and a median of 13 Mt copper. The spatial density for the 19 known plus estimated undiscovered deposits in this tract is approximately 17 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2003, calc-alkaline igneous rocks of Late Triassic to Early Cretaceous age within the accreted Insular terranes of mixed island-arc and continental arc affinities are assessed for calc-alkaline porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 58,360 km<sup>2</sup>. The total tonnage of ore reported in the 2 known deposits is 1,160 Mt containing 3.17 Mt copper. An estimated 2.3 undiscovered deposits contain a calculated mean of 3 Mt copper and a median of 1.9 Mt copper. The spatial density for the 4.3 known plus estimated undiscovered deposits in this tract is approximately 7 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2004, calc-alkaline igneous rocks in continental magmatic arcs of Jurassic to Eocene age are assessed for porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 639,500 km<sup>2</sup>. The total tonnage of ore reported for the 23 known deposits is 6,520 Mt containing 17.9 Mt copper. An estimated 9.6 undiscovered deposits contain a calculated mean of 13 Mt copper and a median of 11 Mt copper. The spatial density for the 32.6 known deposits plus the estimated undiscovered deposits in this tract is approximately 5 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2005, calc-alkaline igneous rocks in continental magmatic arcs of Oligocene to Pliocene age are assessed for porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 32,840 km<sup>2</sup>. The total tonnage of ore reported for the 1 known deposit is 44.8 Mt containing 0.224 Mt copper. An estimated 1.4 undiscovered deposits contain a calculated mean of 1.8 Mt copper and a median of 0.72 Mt copper. The spatial density for the 2.4 known plus estimated undiscovered deposits in this permissive tract is approximately 7 deposits per 100,000 km<sup>2</sup>.</p>\n<p>Western Canada has been thoroughly explored for porphyry copper deposits. The total estimated copper contained in known deposits is about 66.8 Mt (based on 2010 data), as compared to a 49 Mt mean of estimated copper in undiscovered deposits and a 34 Mt median of estimated copper in undiscovered deposits. The copper contained in known porphyry copper deposits represents about 58 percent of the total of known and undiscovered porphyry copper deposits (based on mean values). About 86 percent of the increase in estimated copper resources between 1993 and 2009 resulted from the discovery of extensions to known deposits. Nevertheless, exploration for undiscovered deposits continues, especially in and around significant prospects and in parts of permissive tracts that are mostly hidden beneath younger volcanic, sedimentary, or vegetated surficial cover.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090c","collaboration":"Prepared in cooperation with the British Columbia Geological Survey, Yukon Geological Survey, and XDM Geological Consultants, Inc.","usgsCitation":"Mihalasky, M.J., Bookstrom, A.A., Frost, T.P., and Ludington, S., 2011, Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i> (Version 1.0: Originally posted October 2011; Version 1.1: February 2013): U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: x, 128 p.; Appendix F Table; Appendix H GIS Data, https://doi.org/10.3133/sir20105090c.","productDescription":"Report: x, 128 p.; Appendix F Table; Appendix H GIS Data","numberOfPages":"142","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":204177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5090_C.gif"},{"id":301355,"rank":103,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/sir2010-5090c_appendix_h.zip","text":"Appendix H GIS data","size":"12.8 MB","linkFileType":{"id":6,"text":"zip"},"description":"Appendix H","linkHelpText":"Geographic Information System (GIS) Files Representing the Porphyry Copper Mineral Resource Assessment Permissive Tracts, Deposits and Significant Prospects, and Accompanying Metadata, Porphyry Copper Assessment, British Columbia and Yukon Territory, Canada"},{"id":301353,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/sir2010-5090c_text.pdf","text":"Report","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":94466,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/","linkFileType":{"id":5,"text":"html"}},{"id":301354,"rank":102,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/appendix_f","text":"Appendix F table","description":"Appendix F","linkHelpText":"Table of Attributes of Porphyry Copper Deposits and Prospects, British Columbia and Yukon Territory, Canada (given in several file formats)"}],"country":"Canada","state":"British Columbia, Yukon Territory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": 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A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":353363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frost, Thomas P. 0000-0001-8348-8432 tfrost@usgs.gov","orcid":"https://orcid.org/0000-0001-8348-8432","contributorId":203,"corporation":false,"usgs":true,"family":"Frost","given":"Thomas","email":"tfrost@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":353362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":353365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005835,"text":"ofr20111273 - 2011 - Joint Ecosystem Modeling (JEM) ecological model documentation volume 2: roseate spoonbill (<i>Platalea ajaja</i>) landscape habitat suitability index v1.0.0","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"ofr20111273","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1273","title":"Joint Ecosystem Modeling (JEM) ecological model documentation volume 2: roseate spoonbill (<i>Platalea ajaja</i>) landscape habitat suitability index v1.0.0","docAbstract":"Ecological conditions in the Greater Everglades have changed due to human activities, including the construction of canals to divert water away from the core of the landscape. Current and planned restoration projects are designed to produce a natural sheetflow of water across the landscape. This restoration of water flow should provide an increase in freshwater needed to restore natural salinities to the fringing estuarine ecosystem. In this report, we describe a Landscape Habitat Suitability Index model designed to evaluate alternative restoration plans for the benefit of a key species, the roseate spoonbill (Platalea ajaja). Model output has shown to be a good indicator of areas capable of supporting spoonbills. Use of this model will allow examination of the potential response of this key species to water management proposed through the Greater Everglades restoration process.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111273","collaboration":"Prepared as part of the U.S. Geological Survey Priority Ecosystems Science Initiative","usgsCitation":"Romañach, S., Conzelmann, C., Daugherty, A., Lorenz, J., Hunnicutt, C., and Mazzotti, F., 2011, Joint Ecosystem Modeling (JEM) ecological model documentation volume 2: roseate spoonbill (<i>Platalea ajaja</i>) landscape habitat suitability index v1.0.0: U.S. Geological Survey Open-File Report 2011-1273, iv, 23 p.; XLS Download of Appendix 1, https://doi.org/10.3133/ofr20111273.","productDescription":"iv, 23 p.; XLS Download of Appendix 1","startPage":"i","endPage":"23","numberOfPages":"27","additionalOnlineFiles":"Y","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":116480,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1273.jpg"},{"id":94485,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1273/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9fe4b07f02db6614f1","contributors":{"authors":[{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":353333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daugherty, Adam","contributorId":92417,"corporation":false,"usgs":true,"family":"Daugherty","given":"Adam","email":"","affiliations":[],"preferred":false,"id":353337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Jerome J.","contributorId":20062,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jerome J.","affiliations":[],"preferred":false,"id":353335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunnicutt, Christina 0000-0001-8624-6420","orcid":"https://orcid.org/0000-0001-8624-6420","contributorId":52312,"corporation":false,"usgs":true,"family":"Hunnicutt","given":"Christina","affiliations":[],"preferred":false,"id":353336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":353338,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005836,"text":"ofr20111272 - 2011 - Joint Ecosystem Modeling (JEM) ecological model documentation volume 1: Estuarine prey fish biomass availability v1.0.0","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"ofr20111272","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1272","title":"Joint Ecosystem Modeling (JEM) ecological model documentation volume 1: Estuarine prey fish biomass availability v1.0.0","docAbstract":"Estuarine fish serve as an important prey base in the Greater Everglades ecosystem for key fauna such as wading birds, crocodiles, alligators, and piscivorous fishes. Human-made changes to freshwater flow across the Greater Everglades have resulted in less freshwater flow into the fringing estuaries and coasts. These changes in freshwater input have altered salinity patterns and negatively affected primary production of the estuarine fish prey base. Planned restoration projects should affect salinity and water depth both spatially and temporally and result in an increase in appropriate water conditions in areas occupied by estuarine fish. To assist in restoration planning, an ecological model of estuarine prey fish biomass availability was developed as an evaluation tool to aid in the determination of acceptable ranges of salinity and water depth. Comparisons of model output to field data indicate that the model accurately predicts prey biomass in the estuarine regions of the model domain. This model can be used to compare alternative restoration plans and select those that provide suitable conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111272","collaboration":"Prepared as part of the U.S. Geological Survey Priority Ecosystems Science Initiative","usgsCitation":"Romañach, S., Conzelmann, C., Daugherty, A., Lorenz, J.L., Hunnicutt, C., and Mazzotti, F., 2011, Joint Ecosystem Modeling (JEM) ecological model documentation volume 1: Estuarine prey fish biomass availability v1.0.0: U.S. Geological Survey Open-File Report 2011-1272, iv, 20 p., https://doi.org/10.3133/ofr20111272.","productDescription":"iv, 20 p.","startPage":"i","endPage":"20","numberOfPages":"24","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":94484,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1272/","linkFileType":{"id":5,"text":"html"}},{"id":116479,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1272.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a56e4b07f02db62dd2a","contributors":{"authors":[{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":353339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daugherty, Adam","contributorId":92417,"corporation":false,"usgs":true,"family":"Daugherty","given":"Adam","email":"","affiliations":[],"preferred":false,"id":353343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Jerome L.","contributorId":62738,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jerome","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":353342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunnicutt, Christina 0000-0001-8624-6420","orcid":"https://orcid.org/0000-0001-8624-6420","contributorId":52312,"corporation":false,"usgs":true,"family":"Hunnicutt","given":"Christina","affiliations":[],"preferred":false,"id":353341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":353344,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005840,"text":"sir20115175 - 2011 - Assessment of channel changes, model of historical floods, and effects of backwater on flood stage, and flood mitigation alternatives for the Wichita River at Wichita Falls, Texas","interactions":[],"lastModifiedDate":"2016-08-11T15:19:29","indexId":"sir20115175","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","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":"2011-5175","title":"Assessment of channel changes, model of historical floods, and effects of backwater on flood stage, and flood mitigation alternatives for the Wichita River at Wichita Falls, Texas","docAbstract":"<p>In cooperation with the City of Wichita Falls, the U.S. Geological Survey assessed channel changes on the Wichita River at Wichita Falls, Texas, and modeled historical floods to investigate possible causes and potential mitigation alternatives to higher flood stages in recent (2007 and 2008) floods. Extreme flooding occurred on the Wichita River on June 30, 2007, inundating 167 homes in Wichita Falls. Although a record flood stage was reached in June 2007, the peak discharge was much less than some historical floods at Wichita Falls. Streamflow and stage data from two gages on the Wichita River and one on Holliday Creek were used to assess the interaction of the two streams. Changes in the Wichita River channel were evaluated using historical aerial and ground photography, comparison of recent and historical cross sections, and comparison of channel roughness coefficients with those from earlier studies. The floods of 2007 and 2008 were modeled using a one-dimensional step-backwater model. Calibrated channel roughness was larger for the 2007 flood compared to the 2008 flood, and the 2007 flood peaked about 4 feet higher than the 2008 flood. Calibration of the 1941 flood yielded a channel roughness coefficient (Manning's <i>n</i>) of 0.030, which represents a fairly clean natural channel. The step-backwater model was also used to evaluate the following potential mitigation alternatives: (1) increasing the capacity of the bypass channel near River Road in Wichita Falls, Texas; (2) removal of obstructions near the Scott Avenue and Martin Luther King Junior Boulevard bridges in Wichita Falls, Texas; (3) widening of aggraded channel banks in the reach between Martin Luther King Junior Boulevard and River Road; and (4) reducing channel bank and overbank roughness. Reductions in water-surface elevations ranged from 0.1 foot to as much as 3.0 feet for the different mitigation alternatives. The effects of implementing a combination of different flood-mitigation alternatives were not investigated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115175","collaboration":"Prepared in cooperation with the City of Wichita Falls, Texas","usgsCitation":"Winters, K.E., and Baldys, S., 2011, Assessment of channel changes, model of historical floods, and effects of backwater on flood stage, and flood mitigation alternatives for the Wichita River at Wichita Falls, Texas: U.S. Geological Survey Scientific Investigations Report 2011-5175, vi, 28 p., https://doi.org/10.3133/sir20115175.","productDescription":"vi, 28 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":94462,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5175/","linkFileType":{"id":5,"text":"html"}},{"id":116359,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5175.gif"}],"country":"United States","state":"Texas","city":"Wichita Falls","otherGeospatial":"Wichita River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.56666666666666,33.8675 ], [ -98.56666666666666,33.93472222222222 ], [ -98.43333333333334,33.93472222222222 ], [ -98.43333333333334,33.8675 ], [ -98.56666666666666,33.8675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6978d3","contributors":{"authors":[{"text":"Winters, Karl E. kwinters@usgs.gov","contributorId":3554,"corporation":false,"usgs":true,"family":"Winters","given":"Karl","email":"kwinters@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":353356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldys, Stanley sbaldys@usgs.gov","contributorId":3366,"corporation":false,"usgs":true,"family":"Baldys","given":"Stanley","email":"sbaldys@usgs.gov","affiliations":[],"preferred":true,"id":353355,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005841,"text":"ds588 - 2011 - Water-quality data from shallow pond-bottom groundwater in the Fishermans Cove area of Ashumet Pond, Cape Cod, Massachusetts, 2001-2010","interactions":[],"lastModifiedDate":"2019-07-25T15:53:10","indexId":"ds588","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","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":"588","title":"Water-quality data from shallow pond-bottom groundwater in the Fishermans Cove area of Ashumet Pond, Cape Cod, Massachusetts, 2001-2010","docAbstract":"The U.S. Geological Survey (USGS) collected water-quality data between 2001 and 2010 in the Fishermans Cove area of Ashumet Pond, Falmouth, Massachusetts, where the eastern portion of a treated-wastewater plume, created by more than 60 years of overland disposal, discharges to the pond. Temporary drive points were installed, and shallow pond-bottom groundwater was sampled, at 167 locations in 2001, 150 locations in 2003, and 120 locations in 2004 to delineate the distribution of wastewater-related constituents. In 2004, the Air Force Center for Engineering and the Environment (AFCEE) installed a pond-bottom permeable reactive barrier (PRB) to intercept phosphate in the plume at its discharge point to the pond. The USGS monitored the performance of the PRB by collecting samples from temporary drive points at multiple depth intervals in 2006 (200 samples at 76 locations) and 2009 (150 samples at 90 locations). During the first 5 years after installation of the PRB, water samples were collected periodically from five types of pore-water samplers that had been permanently installed in and near the PRB during the barrier's emplacement. The distribution of wastewater-related constituents in the pond-bottom groundwater and changes in the geochemistry of the pond-bottom groundwater after installation of the PRB have been documented in several published reports that are listed in the references.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds588","collaboration":"A product of the Toxic Substances Hydrology Program, Prepared in cooperation with the Air Force Center for Engineering and the Environment","usgsCitation":"McCobb, T.D., and LeBlanc, D.R., 2011, Water-quality data from shallow pond-bottom groundwater in the Fishermans Cove area of Ashumet Pond, Cape Cod, Massachusetts, 2001-2010: U.S. Geological Survey Data Series 588, v, 13 p., https://doi.org/10.3133/ds588.","productDescription":"v, 13 p.","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":116361,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_588.gif"},{"id":94465,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/588/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","state":"Massachusetts","otherGeospatial":"Massachusetts Military Reservation;Cape Cod;Ashumet Pond","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.55,41.617777777777775 ], [ -70.55,41.634166666666665 ], [ -70.53361111111111,41.634166666666665 ], [ -70.53361111111111,41.617777777777775 ], [ -70.55,41.617777777777775 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa957","contributors":{"authors":[{"text":"McCobb, Timothy D. 0000-0003-1533-847X tmccobb@usgs.gov","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":2012,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy","email":"tmccobb@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005815,"text":"ofr20111217 - 2011 - 2010 bathymetric survey and digital elevation model of Corte Madera Bay, California","interactions":[],"lastModifiedDate":"2017-08-23T09:20:20","indexId":"ofr20111217","displayToPublicDate":"2011-10-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1217","title":"2010 bathymetric survey and digital elevation model of Corte Madera Bay, California","docAbstract":"A high-resolution bathymetric survey of Corte Madera Bay, California, was collected in early 2010 in support of a collaborative research project initiated by the San Francisco Bay Conservation and Development Commission and funded by the U.S. Environmental Protection Agency. The primary objective of the Innovative Wetland Adaptation in the Lower Corte Madera Creek Watershed Project is to develop shoreline adaptation strategies to future sea-level rise based upon sound science. Fundamental to this research was the development of an of an up-to-date, high-resolution digital elevation model (DEM) extending from the subtidal environment through the surrounding intertidal marsh. We provide bathymetric data collected by the U.S. Geological Survey and have merged the bathymetry with a 1-m resolution aerial lidar data set that was collected by the National Oceanic and Atmospheric Administration during the same time period to create a seamless, high-resolution DEM of Corte Madera Bay and the surrounding topography. The bathymetric and DEM surfaces are provided at both 1 m and 10 m resolutions formatted as both X, Y, Z text files and ESRI Arc ASCII files, which are accompanied by Federal Geographic Data Committee compliant metadata.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111217","usgsCitation":"Foxgrover, A., Finlayson, D.P., Jaffe, B.E., Takekawa, J.Y., Thorne, K.M., and Spragens, K., 2011, 2010 bathymetric survey and digital elevation model of Corte Madera Bay, California: U.S. Geological Survey Open-File Report 2011-1217, iv, 19 p.; Appendix; Download of Metadata; Download of Data Folder, https://doi.org/10.3133/ofr20111217.","productDescription":"iv, 19 p.; Appendix; Download of Metadata; Download of Data Folder","startPage":"i","endPage":"20","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1217.gif"},{"id":94439,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1217/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Corte Madera Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4926e4b0b290850eeeb2","contributors":{"authors":[{"text":"Foxgrover, Amy C.","contributorId":45775,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy C.","affiliations":[],"preferred":false,"id":353301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":353299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":353297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":353300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spragens, Kyle A.","contributorId":98452,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle A.","affiliations":[],"preferred":false,"id":353302,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005825,"text":"ds630 - 2011 - Adjustment of pesticide concentrations for temporal changes in analytical recovery, 1992&ndash;2010","interactions":[],"lastModifiedDate":"2012-02-02T00:15:57","indexId":"ds630","displayToPublicDate":"2011-10-26T00:00:00","publicationYear":"2011","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":"630","title":"Adjustment of pesticide concentrations for temporal changes in analytical recovery, 1992&ndash;2010","docAbstract":"Recovery is the proportion of a target analyte that is quantified by an analytical method and is a primary indicator of the analytical bias of a measurement. Recovery is measured by analysis of quality-control (QC) water samples that have known amounts of target analytes added (\"spiked\" QC samples). For pesticides, recovery is the measured amount of pesticide in the spiked QC sample expressed as a percentage of the amount spiked, ideally 100 percent. Temporal changes in recovery have the potential to adversely affect time-trend analysis of pesticide concentrations by introducing trends in apparent environmental concentrations that are caused by trends in performance of the analytical method rather than by trends in pesticide use or other environmental conditions. This report presents data and models related to the recovery of 44 pesticides and 8 pesticide degradates (hereafter referred to as \"pesticides\") that were selected for a national analysis of time trends in pesticide concentrations in streams. Water samples were analyzed for these pesticides from 1992 through 2010 by gas chromatography/mass spectrometry. Recovery was measured by analysis of pesticide-spiked QC water samples. Models of recovery, based on robust, locally weighted scatterplot smooths (lowess smooths) of matrix spikes, were developed separately for groundwater and stream-water samples. The models of recovery can be used to adjust concentrations of pesticides measured in groundwater or stream-water samples to 100 percent recovery to compensate for temporal changes in the performance (bias) of the analytical method.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds630","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Martin, J.D., and Eberle, M., 2011, Adjustment of pesticide concentrations for temporal changes in analytical recovery, 1992&ndash;2010: U.S. Geological Survey Data Series 630, vi, 11 p.; PDF Download of Appendix 3; PDF Download of Appendix 3 List of Figures; PDF Download of Appendix 1 Metadata; PDF Download of Appendix 2 Metadata; PDF Download of Appendix 4 Metadata; PDF Download of Appendix 5 Metadata; Download of Appendixes 1, 2, 4, and 5, https://doi.org/10.3133/ds630.","productDescription":"vi, 11 p.; PDF Download of Appendix 3; PDF Download of Appendix 3 List of Figures; PDF Download of Appendix 1 Metadata; PDF Download of Appendix 2 Metadata; PDF Download of Appendix 4 Metadata; PDF Download of Appendix 5 Metadata; Download of Appendixes 1, 2, 4, and 5","startPage":"i","endPage":"11","numberOfPages":"17","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":533,"text":"Pesticide National Synthesis Project","active":false,"usgs":true}],"links":[{"id":116357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_630.gif"},{"id":94445,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/630/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db696dc3","contributors":{"authors":[{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":353317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberle, Michael","contributorId":39770,"corporation":false,"usgs":true,"family":"Eberle","given":"Michael","email":"","affiliations":[],"preferred":false,"id":353318,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005821,"text":"sir20115113 - 2011 - Using host-associated genetic markers to investigate sources of fecal contamination in two Vermont streams","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115113","displayToPublicDate":"2011-10-26T00:00:00","publicationYear":"2011","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":"2011-5113","title":"Using host-associated genetic markers to investigate sources of fecal contamination in two Vermont streams","docAbstract":"The use of host-associated Bacteroidales-based 16S ribosomal ribonucleic acid genetic markers was investigated as a tool for providing information to managers on sources of bacterial impairment in Vermont streams. The study was conducted during 2009 in two watersheds on the U.S. Environmental Protection Agency's 303(d) List of Impaired Waters, the Huntington and the Mettawee Rivers. Streamwater samples collected during high-flow and base-flow conditions were analyzed for concentrations of Escherichia coli (E. coli) and Bacteroidales genetic markers (General AllBac, Human qHF183 and BacHum, Ruminant BoBac, and Canid BacCan) to identify humans, ruminants, and canids as likely or unlikely major sources of fecal contamination. Fecal reference samples from each of the potential source groups, as well as from common species of wildlife, were collected during the same season and from the same watersheds as water samples. The results were combined with data from other states to assess marker cross reaction and to relate marker results to E. coli, the regulated water-quality parameter, with a higher degree of statistical significance. Results from samples from the Huntington River collected under different flow conditions on three dates indicated that humans were unlikely to be a major source of fecal contamination, except for a single positive result at one station that indicated the potential for human sources. Ruminants (deer, moose, cow, or sheep) were potential sources of fecal contamination at all six stations on the Huntington River during one high-flow event and at all but two stations during the other high-flow event. Canids were potential sources of fecal contamination at some stations during two high-flow events, with genetic-marker concentrations in samples from two of the six stations showing consistent positive results for canids for both storm dates. A base-flow sample showed no evidence of major fecal contamination in the Huntington River from humans, ruminants, or canids. Results from samples from the Mettawee River watershed collected during high-flow conditions (12 storm samples on 2 dates at 6 stations) indicated that there was no evidence of fecal contamination from humans in seven samples and possible evidence in five samples. Results for humans were positive for only one station during both storm events. For two of the five samples with evidence for human fecal contamination, results for two different human genetic markers agreed, but results from three samples were inconsistent. In samples from five of the six Mettawee stations, ruminants were a potential source of fecal contamination on at least one of the three sampled dates, including three positive results for the base-flow sample. Yet samples from all of the stations that showed positive results for ruminants did so for only one or two of the three sampled dates. Samples from only one of the six stations gave consistent results, which were negative for ruminants for all three dates. In the Mettawee River base-flow sample, humans were an unlikely source of major fecal contamination. Factors that may influence results and conclusions include the timing of sample collection relative to the storm event; variability of E. coli and Bacteroidales concentrations in fecal reference samples and in water; sampling and analytical errors; the potential cross reactivity of host-associated genetic markers; and different persistence and survival rates of E. coli bacteria and Bacteroidales genetic markers on land, in water, and by season. These factors interfere with the ability to directly relate Bacteroidales concentrations to E. coli concentrations in river samples. It must be recognized that while use of Bacteroidales genetic markers as a source tracking tool coupled with the interpretive approach described in this report cannot be used quantitatively to pinpoint sources, it can be used to exclude potential sources as major contributors to fecal contamination.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115113","collaboration":"Prepared in cooperation with the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, L., Matthews, L., and Stelzer, E.A., 2011, Using host-associated genetic markers to investigate sources of fecal contamination in two Vermont streams: U.S. Geological Survey Scientific Investigations Report 2011-5113, vii, 30 p., https://doi.org/10.3133/sir20115113.","productDescription":"vii, 30 p.","startPage":"i","endPage":"30","numberOfPages":"37","additionalOnlineFiles":"N","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":94438,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5113/","linkFileType":{"id":5,"text":"html"}},{"id":116473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5113.gif"}],"scale":"24000","datum":"NAD1983","country":"United States;Canada","state":"Vermont","otherGeospatial":"Huntington River;Mettawee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.5,42.5 ], [ -74.5,45.5 ], [ -71.5,45.5 ], [ -71.5,42.5 ], [ -74.5,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a15e4b07f02db60301e","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matthews, Leslie J.","contributorId":61945,"corporation":false,"usgs":true,"family":"Matthews","given":"Leslie J.","affiliations":[],"preferred":false,"id":353309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005806,"text":"sir20115157 - 2011 - Streamflow, groundwater hydrology, and water quality in the upper Coleto Creek watershed in southeast Texas, 2009&ndash;10","interactions":[],"lastModifiedDate":"2016-08-11T15:19:59","indexId":"sir20115157","displayToPublicDate":"2011-10-24T00:00:00","publicationYear":"2011","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":"2011-5157","title":"Streamflow, groundwater hydrology, and water quality in the upper Coleto Creek watershed in southeast Texas, 2009&ndash;10","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Goliad County Groundwater Conservation District, Victoria County Groundwater Conservation District, Pecan Valley Groundwater Conservation District, Guadalupe-Blanco River Authority, and San Antonio River Authority, did a study to examine the hydrology and stream-aquifer interactions in the upper Coleto Creek watershed. Findings of the study will enhance the scientific understanding of the study-area hydrology and be used to support water-management decisions to help ensure protection of the Evangeline aquifer and surface-water resources in the study area. This report describes the results of streamflow measurements, groundwater-level measurements, and water quality (from both surface-water and groundwater sites) collected from three sampling events (July&ndash;August 2009, January 2010, and June 2010) designed to characterize groundwater (from the Evangeline aquifer) and surface water, and the interaction between them, in the upper Coleto Creek watershed upstream from Coleto Creek Reservoir in southeast Texas. This report also provides a baseline level of water quality for the upper Coleto Creek watershed. Three surface-water gain-loss surveys&mdash;July 29&ndash;30, 2009, January 11&ndash;13, 2010, and June 21&ndash;22, 2010&mdash;were done under differing hydrologic conditions to determine the locations and amounts of streamflow recharging or discharging from the Evangeline aquifer. During periods when flow in the reaches of the upper Coleto Creek watershed was common (such as June 2010, when 12 of 25 reaches were flowing) or probable (such as January 2010, when 22 of 25 reaches were flowing), most of the reaches appeared to be gaining (86 percent in January 2010 and 92 percent in June 2010); however, during drought conditions (July 2009), streamflow was negligible in the entire upper Coleto Creek watershed; streamflow was observed in only two reaches during this period, one that receives inflow directly from Audilet Spring and another reach immediately downstream from Audilet Spring. Water levels in the aquifer at this time declined to the point that the aquifer could no longer provide sufficient water to the streams to sustain flow. Groundwater-level altitudes were measured at as many as 33 different wells in the upper Coleto Creek watershed during three different survey events: August 4&ndash;7 and 12, 2009; January 12&ndash;14 and 22, 2010; and June 21&ndash;24, 2010. These data were used in conjunction with groundwater-level altitudes from three continuously monitored wells to generate potentiometric surface maps for each of the three sampling events to help characterize the groundwater hydrology of the Evangeline aquifer. The altitudes of potentiometric surface contours from all three sampling events are highest in the northeast part of the study area and lowest in the southwest part of the study area. Groundwater flow direction shifts from southeast to east across the watershed, roughly coinciding with the general flow direction of the main stem of Coleto Creek. Groundwater-level altitudes increased an average of 2.35 inches between the first and third sampling events as drought conditions in summer 2009 were followed by consistent rains the subsequent fall and winter, an indication that the aquifer responds relatively quickly to both the absence and relative abundance of precipitation. A total of 44 water-quality samples were collected at 21 different sites over the course of the three sampling events (August 4&ndash;7, 2009, January 12&ndash;14, 2010, and June 21&ndash;24, 2010). In most cases, samples from each site were analyzed for the following constituents: dissolved solids, major ions, alkalinity, nutrients, trace elements, and stable isotopes (hydrogen, oxygen, and strontium). Major-ion compositions were relatively consistent among most of the samples from the upper Coleto Creek watershed (generally calcium bicarbonate waters, with chloride often making a major contribution). Of the 23 trace elements that were analyzed in water samples as part of this study, only arsenic (in two samples) and manganese (in seven samples) had concentrations that exceeded public drinking-water standards or guidelines. At 3 of the 19 sites sampled&mdash;State wells 79-06-411, 79-14-204, and Audilet Spring&mdash;nitrate concentrations exceeded the threshold (2.0 milligrams per liter) associated with anthropogenic contributions. The majority of the water samples (36 out of 44) that were analyzed for stable isotopes of hydrogen and oxygen during the three sampling events plotted in a relatively tight cluster centered near the global meteoric water line. The eight remaining samples, which include the four surface-water samples collected in June 2010, the sample collected from Coleto Creek Reservoir in January 2010, and all three samples collected at State well 79-15-904, deviate from the global meteoric water line in a way that indicates evaporative losses. The isotopic signatures of the three samples collected at State well 79-15-904, when taken in conjunction with its proximity to Coleto Creek Reservoir, indicate that there is likely a hydraulic connection between the two. When all of the sites are examined as a whole, there is a general pattern in strontium concentrations across the entire watershed that indicates that both the surface-water and groundwater samples derive from a single source (the Evangeline aquifer) with relatively uniform water-rock interactions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115157","collaboration":"In cooperation with the Goliad County Groundwater Conservation District, the Victoria County Groundwater Conservation District, the Pecan Valley Groundwater Conservation District, the Guadalupe-Blanco River Authority, and the San Antonio River Authority","usgsCitation":"Braun, C.L., and Lambert, R.B., 2011, Streamflow, groundwater hydrology, and water quality in the upper Coleto Creek watershed in southeast Texas, 2009&ndash;10: U.S. Geological Survey Scientific Investigations Report 2011-5157, vi, 46 p.; Appendices, https://doi.org/10.3133/sir20115157.","productDescription":"vi, 46 p.; Appendices","startPage":"i","endPage":"53","numberOfPages":"59","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-07-01","temporalEnd":"2010-06-30","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5157.jpg"},{"id":94433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5157/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 14","datum":"NAD83","country":"United States","state":"Texas","otherGeospatial":"Upper Coleto Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.7,28.666666666666668 ], [ -97.7,29.116666666666667 ], [ -97,29.116666666666667 ], [ -97,28.666666666666668 ], [ -97.7,28.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4cbd","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70129410,"text":"70129410 - 2011 - Results and evaluation of a survey to estimate Pacific walrus population size, 2006","interactions":[],"lastModifiedDate":"2018-06-16T17:51:24","indexId":"70129410","displayToPublicDate":"2011-10-22T09:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Results and evaluation of a survey to estimate Pacific walrus population size, 2006","docAbstract":"In spring 2006, we conducted a collaborative U.S.-Russia survey to estimate abundance of the Pacific walrus (<i>Odobenus rosmarus divergens</i>).  The Bering Sea was partitioned into survey blocks, and a systematic random sample of transects within a subset of the blocks was surveyed with airborne thermal scanners using standard strip-transect methodology.  Counts of walruses in photographed groups were used to model the relation between thermal signatures and the number of walruses in groups, which was used to estimate the number of walruses in groups that were detected by the scanner but not photographed.  We also modeled the probability of thermally detecting various-sized walrus groups to estimate the number of walruses in groups undetected by the scanner.  We used data from radio-tagged walruses to adjust on-ice estimates to account for walruses in the water during the survey.  The estimated area of available habitat averaged 668,000 km<sup>2</sup> and the area of surveyed blocks was 318,204 km<sup>2</sup>.  The number of Pacific walruses within the surveyed area was estimated at 129,000 with 95% confidence limits of 55,000 to 507,000 individuals.  This value can be used by managers as a minimum estimate of the total population size.","language":"English","publisher":"Society for Marine Mammalogy","doi":"10.1111/j.1748-7692.2010.00419.x","usgsCitation":"Speckman, S.G., Chernook, V.I., Burn, D., Udevitz, M.S., Kochnev, A.A., Vasilev, A., Jay, C.V., Lisovsky, A., Fischbach, A.S., and Benter, R., 2011, Results and evaluation of a survey to estimate Pacific walrus population size, 2006: Marine Mammal Science, v. 27, no. 3, p. 514-553, https://doi.org/10.1111/j.1748-7692.2010.00419.x.","productDescription":"40 p.","startPage":"514","endPage":"553","ipdsId":"IP-017489","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":295601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Bering Sea","volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-09-30","publicationStatus":"PW","scienceBaseUri":"5448c71fe4b0f888a81b87b0","contributors":{"authors":[{"text":"Speckman, Suzann G.","contributorId":83044,"corporation":false,"usgs":true,"family":"Speckman","given":"Suzann","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":503696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chernook, Vladimir I.","contributorId":56988,"corporation":false,"usgs":true,"family":"Chernook","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":503694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burn, Douglas M.","contributorId":65022,"corporation":false,"usgs":true,"family":"Burn","given":"Douglas M.","affiliations":[],"preferred":false,"id":503695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kochnev, Anatoly A.","contributorId":50096,"corporation":false,"usgs":true,"family":"Kochnev","given":"Anatoly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasilev, Alexander","contributorId":19891,"corporation":false,"usgs":true,"family":"Vasilev","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":503690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lisovsky, Alexander","contributorId":47313,"corporation":false,"usgs":true,"family":"Lisovsky","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":503692,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503687,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Benter, R. Bradley","contributorId":21482,"corporation":false,"usgs":true,"family":"Benter","given":"R. Bradley","affiliations":[],"preferred":false,"id":503691,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70032387,"text":"70032387 - 2011 - Global climate change implications for coastal and offshore oil and gas development","interactions":[],"lastModifiedDate":"2021-02-04T19:36:55.173941","indexId":"70032387","displayToPublicDate":"2011-10-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1510,"text":"Energy Policy","active":true,"publicationSubtype":{"id":10}},"title":"Global climate change implications for coastal and offshore oil and gas development","docAbstract":"<p><span>The discussion and debate about climate change and oil and gas resource development has generally focused on how fossil fuel use affects the Earth's climate. This paper explores how the changing climate is likely to affect oil and gas operations in low-lying coastal areas and the outer continental shelf. Oil and gas production in these regions comprises a large sector of the economies of many energy producing nations. Six key climate change drivers in coastal and marine regions are characterized with respect to oil and gas development: changes in carbon dioxide levels and ocean acidity, air and water temperature, precipitation patterns, the rate of sea level rise, storm intensity, and wave regime. These key drivers have the potential to independently and cumulatively affect coastal and offshore oil and gas exploration, production, and transportation, and several impacts of climate change have already been observed in North America.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enpol.2011.09.016","usgsCitation":"Burkett, V.R., 2011, Global climate change implications for coastal and offshore oil and gas development: Energy Policy, v. 39, no. 12, p. 7719-7725, https://doi.org/10.1016/j.enpol.2011.09.016.","productDescription":"7 p.","startPage":"7719","endPage":"7725","numberOfPages":"7","ipdsId":"IP-024410","costCenters":[],"links":[{"id":241439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a293fe4b0c8380cd5a7b5","contributors":{"authors":[{"text":"Burkett, Virginia R. 0000-0003-4746-2862","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":80229,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":435912,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005798,"text":"ofr20111113 - 2011 - Summary of oceanographic and water&ndash;quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009&ndash;2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20111113","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1113","title":"Summary of oceanographic and water&ndash;quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009&ndash;2010","docAbstract":"This data report presents oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay, Massachusetts, from August 2009 to September 2010. Both Buzzards Bay and West Falmouth Harbor are estuarine embayments; the input of freshwater on the eastern margin of Buzzards Bay adjacent to Cape Cod and West Falmouth Harbor is largely due to groundwater. In West Falmouth Harbor, the groundwater that seeps into the harbor is characterized by relatively high levels of nitrate. This high nitrate load has modified the ecology of the harbor (Howes and others, 2006) and may be a significant source of nitrate to Buzzards Bay during seasons with low biological nitrate uptake. The U.S. Geological Survey undertook these measurements to improve understanding of circulation, residence time, and water quality in the harbor and bay. We set up and monitored multiple sites in both Buzzards Bay and West Falmouth Harbor, measuring depth, water velocity,salinity, pH, dissolved oxygen, chlorophyll-a, and nitrate concentration. In this report we present the processed time-series data at these locations and provide access to the data and metadata. The results will be used to understand circulation mechanisms and verify numerical models of hydrodynamics and biogeochemistry.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111113","usgsCitation":"Ganju, N., Dickhudt, P., Thomas, J., Borden, J., Sherwood, C.R., Montgomery, E., Twomey, E.R., and Martini, M.A., 2011, Summary of oceanographic and water&ndash;quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009&ndash;2010: U.S. Geological Survey Open-File Report 2011-1113, HTML Document, https://doi.org/10.3133/ofr20111113.","productDescription":"HTML Document","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1113.gif"},{"id":94432,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1113/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"West Falmouth Harbor;Buzzards Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.01666666666667,14.066666666666666 ], [ -71.01666666666667,41.13333333333333 ], [ -70.06666666666666,41.13333333333333 ], [ -70.06666666666666,14.066666666666666 ], [ -71.01666666666667,14.066666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698c5b","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":353260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickhudt, Patrick J.","contributorId":48302,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","affiliations":[],"preferred":false,"id":353258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Jennifer A.","contributorId":16153,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer A.","affiliations":[],"preferred":false,"id":353256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borden, Jonathan 0000-0001-6844-3340 jborden@usgs.gov","orcid":"https://orcid.org/0000-0001-6844-3340","contributorId":3098,"corporation":false,"usgs":true,"family":"Borden","given":"Jonathan","email":"jborden@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montgomery, Ellyn T.","contributorId":78038,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","affiliations":[],"preferred":false,"id":353259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twomey, Erin R.","contributorId":44860,"corporation":false,"usgs":true,"family":"Twomey","given":"Erin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353253,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70005796,"text":"sir20115158 - 2011 - Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009","interactions":[],"lastModifiedDate":"2019-07-19T09:08:37","indexId":"sir20115158","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-5158","title":"Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009","docAbstract":"The former Chlor-Alkali Facility in Berlin, New Hampshire, was listed on the U.S. Environmental Protection Agency National Priorities List in 2005 as a Superfund site. The Chlor-Alkali Facility lies on the east bank of the Androscoggin River. Elemental mercury currently discharges from that bank into the Androscoggin River. The nature, extent, and the speciation of mercury and the production of methyl mercury contamination in the adjacent Androscoggin River is the subject of continuing investigations. The U.S. Geological Survey, in cooperation with Region I of the U.S. Environmental Protection Agency, used geophysical methods to determine the distribution, thickness, and physical properties of sediments in the Androscoggin River channel at a small area of an upstream reference reach and downstream from the site to the New Hampshire&ndash;Maine State border. Separate reaches of the Androscoggin River in the study area were surveyed with surface geophysical methods including ground-penetrating radar and step-frequency electromagnetics. Results were processed to assess sediment characteristics including grain size, electrical conductivity, and pore-water specific conductance. Specific conductance measured during surface- and pore-water sampling was used to help interpret the results of the geophysical surveys. The electrical resistivity of sediment samples was measured in the laboratory with intact pore water for comparison with survey results. In some instances, anthropogenic features and land uses, such as roads and power lines affected the detection of riverbed properties using geophysical methods; when this occurred, the data were removed. Through combining results, detailed riverbed sediment characterizations were made. Results from ground-penetrating radar surveys were used to image and measure the depth to the riverbed, depth to buried riverbeds, riverbed thickness and to interpret material-type variations in terms of relative grain size. Fifty two percent of the riverbed in the study area was covered with gravel and finer sediments. The electrically resistive river water and sediment in this study area were conducive to the penetration of the ground-penetrating radar and step-frequency electromagnetic signals and allowed for effective sediment characterization by geophysical methods. The reach between the former Chlor-Alkali Facility and the Riverside Dam, had small areas of fine sediment (estimated 11 percent of riverbed area), found on the upstream left bank and the downstream right bank, with an electromagnetic conductivity (31.4 millisiemens per meter (mS/m) maximum) that was higher than the upstream reference reach. The greatest electromagnetic conductivity (195 mS/m), pore-water specific conductance (324 mS/m) and lab measured sediment conductivity of (76.8 mS/m, measured with a direct-current resistivity test box) in the study were measured approximately 1 mile (mi) downstream of the site from a sandbar on the left bank. Reaches adjacent to and within 2 mi downstream from the site had elevated electromagnetic conductivity despite having lower estimated percentages of riverbed area covered in sediment (11, 25, and 61 percent, respectively) than the reference reach (97). Typically finer grained sediment with similar mineralogy will be more conductive. The Shelburne Reservoir is approximately 8 mi downstream from the site had the second greatest pore-water specific conductance measured, 45.8 mS/m. Many of the locations with the largest step-frequency electromagnetic values have not been sampled for pore water and sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115158","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., Teeple, A., Johnston, C.M., Marvin-DiPasquale, M.C., and Luce, D., 2011, Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009: U.S. Geological Survey Scientific Investigations Report 2011-5158, vii, 27 p., https://doi.org/10.3133/sir20115158.","productDescription":"vii, 27 p.","startPage":"i","endPage":"27","numberOfPages":"34","additionalOnlineFiles":"N","temporalStart":"2009-08-01","temporalEnd":"2009-08-31","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":116503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5158.gif"},{"id":94431,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5158/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","otherGeospatial":"Androscoggin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.23416666666667,44.48416666666667 ], [ -71.23416666666667,44.350833333333334 ], [ -70.98333333333333,44.350833333333334 ], [ -70.98333333333333,44.48416666666667 ], [ -71.23416666666667,44.48416666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a824c","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Craig M. cmjohnst@usgs.gov","contributorId":1814,"corporation":false,"usgs":true,"family":"Johnston","given":"Craig","email":"cmjohnst@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":353250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luce, Darryl","contributorId":72520,"corporation":false,"usgs":true,"family":"Luce","given":"Darryl","email":"","affiliations":[],"preferred":false,"id":353252,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005793,"text":"fs20113104 - 2011 - Application of the SPARROW watershed model to describe nutrient sources and transport in the Missouri River Basin","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"fs20113104","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-3104","title":"Application of the SPARROW watershed model to describe nutrient sources and transport in the Missouri River Basin","docAbstract":"Spatially Referenced Regression On Watershed attributes (SPARROW) models were developed to provide spatially explicit information on local and regional total nitrogen and total phosphorus sources and transport in the Missouri River Basin. Model results provide estimates of the relative contributions from various nutrient sources and delivery factors. The models also describe instream decay and reservoir and lake attenuation of nutrients. Results aid in the prioritization of nutrient-reduction strategies by identifying major sources and delivery factors contributing to instream nutrient loads and stream reaches carrying the largest nutrient loads in the Missouri River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113104","usgsCitation":"Brown, J., 2011, Application of the SPARROW watershed model to describe nutrient sources and transport in the Missouri River Basin: U.S. Geological Survey Fact Sheet 2011-3104, 4 p., https://doi.org/10.3133/fs20113104.","productDescription":"4 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3104.gif"},{"id":94429,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3104/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Missouri River Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a69d","contributors":{"authors":[{"text":"Brown, Juliane B.","contributorId":74040,"corporation":false,"usgs":true,"family":"Brown","given":"Juliane B.","affiliations":[],"preferred":false,"id":353244,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005790,"text":"sir20115150 - 2011 - Quantifying viruses and bacteria in wastewater&mdash;Results, interpretation methods, and quality control","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115150","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-5150","title":"Quantifying viruses and bacteria in wastewater&mdash;Results, interpretation methods, and quality control","docAbstract":"Membrane bioreactors (MBR), used for wastewater treatment in Ohio and elsewhere in the United States, have pore sizes small enough to theoretically reduce concentrations of protozoa and bacteria, but not viruses. Sampling for viruses in wastewater is seldom done and not required. Instead, the bacterial indicators Escherichia coli (E. coli) and fecal coliforms are the required microbial measures of effluents for wastewater-discharge permits. Information is needed on the effectiveness of MBRs in removing human enteric viruses from wastewaters, particularly as compared to conventional wastewater treatment before and after disinfection.\r\nA total of 73 regular and 28 quality-control (QC) samples were collected at three MBR and two conventional wastewater plants in Ohio during 23 regular and 3 QC sampling trips in 2008-10. Samples were collected at various stages in the treatment processes and analyzed for bacterial indicators E. coli, fecal coliforms, and enterococci by membrane filtration; somatic and F-specific coliphage by the single agar layer (SAL) method; adenovirus, enterovirus, norovirus GI and GII, rotavirus, and hepatitis A virus by molecular methods; and viruses by cell culture. While addressing the main objective of the study-comparing removal of viruses and bacterial indicators in MBR and conventional plants-it was realized that work was needed to identify data analysis and quantification methods for interpreting enteric virus and QC data. Therefore, methods for quantifying viruses, qualifying results, and applying QC data to interpretations are described in this report.\r\nDuring each regular sampling trip, samples were collected (1) before conventional or MBR treatment (post-preliminary), (2) after secondary or MBR treatment (post-secondary or post-MBR), (3) after tertiary treatment (one conventional plant only), and (4) after disinfection (post-disinfection). Glass-wool fiber filtration was used to concentrate enteric viruses from large volumes, and small volume grab samples were collected for direct-plating analyses for bacterial indicators and coliphage. After filtration, the viruses were eluted from the filter and further concentrated. The final concentrated sample volume (FCSV) was used for enteric virus analysis by use of two methods-cell culture and a molecular method, polymerase chain reaction (PCR). Quantitative PCR (qPCR) for DNA viruses and quantitative reverse-transcriptase PCR (qRT-PCR) for RNA viruses were used in this study.\r\nTo support data interpretations, the assay limit of detection (ALOD) was set for each virus assay and used to determine sample reporting limits (SRLs). For qPCR and qRT-PCR the ALOD was an estimated value because it was not established according to established method detection limit procedures. The SRLs were different for each sample because effective sample volumes (the volume of the original sample that was actually used in each analysis) were different for each sample. Effective sample volumes were much less than the original sample volumes because of reductions from processing steps and (or) from when dilutions were made to minimize the effects from PCR-inhibiting substances. Codes were used to further qualify the virus data and indicate the level of uncertainty associated with each measurement.\r\nQuality-control samples were used to support data interpretations. Field and laboratory blanks for bacteria, coliphage, and enteric viruses were all below detection, indicating that it was unlikely that samples were contaminated from equipment or processing procedures. The absolute value log differences (AVLDs) between concurrent replicate pairs were calculated to identify the variability associated with each measurement. For bacterial indicators and coliphage, the AVLD results indicated that concentrations &#60;10 colony-forming units or plaque-forming units per 100 mL can differ between replicates by as much as 1 log, whereas higher concentrations can differ by as much as 0.3 log. The AVLD results for viruses indicated that differences between replicates can be as great as 1.2 log genomic copies per liter, regardless of the concentration of virus. Relatively large differences in molecular results for viruses between replicate pairs were likely due to lack of precision for samples with small effective volumes.\r\nConcentrations of E. coli, fecal coliforms, enterococci, and somatic and F-specific coliphage in post-secondary and post-tertiary samples in conventional plants were higher than those in post-MBR samples. In post-MBR and post-secondary samples, concentrations of somatic coliphage were higher than F-specific coliphage. In post-disinfection samples from two MBR plants (the third MBR plant had operational issues) and the ultraviolet conventional plant, concentrations for all bacterial indicators and coliphage were near or below detection; from the chlorine conventional plant, concentrations in post-disinfection samples were in the single or double digits. All of the plants met the National Pollutant Discharge Elimination System required effluent limits established for fecal coliforms.\r\nNorovirus GII and hepatitis A virus were not detected in any samples, and rotavirus was detected in one sample but could not be quantified. Adenovirus was found in 100 percent, enterovirus in over one-half, and norovirus GI in about one-half of post-preliminary wastewater samples. Adenovirus and enterovirus were detected throughout the treatment processes, and norovirus GI was detected less often than the other two enteric viruses. Culturable viruses were detected in post-preliminary samples and in only two post-treatment samples from the plant with operational issues.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115150","collaboration":"Prepared in cooperation with Ohio Water Development Authority and City of Delphos, Ohio","usgsCitation":"Francy, D.S., Stelzer, E.A., Bushon, R.N., Brady, A., Mailot, B.E., Spencer, S., Borchardt, M., Elber, A.G., Riddell, K.R., and Gellner, T.M., 2011, Quantifying viruses and bacteria in wastewater&mdash;Results, interpretation methods, and quality control: U.S. Geological Survey Scientific Investigations Report 2011-5150, viii, 44 p., https://doi.org/10.3133/sir20115150.","productDescription":"viii, 44 p.","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":116502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5150.jpg"},{"id":94428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5150/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b05f","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bushon, Rebecca N. rnbushon@usgs.gov","contributorId":2304,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":353234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mailot, Brian E. bemailot@usgs.gov","contributorId":2569,"corporation":false,"usgs":true,"family":"Mailot","given":"Brian","email":"bemailot@usgs.gov","middleInitial":"E.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":353236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borchardt, Mark A.","contributorId":106255,"corporation":false,"usgs":true,"family":"Borchardt","given":"Mark A.","affiliations":[],"preferred":false,"id":353238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elber, Ashley G.","contributorId":38704,"corporation":false,"usgs":true,"family":"Elber","given":"Ashley","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":353235,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riddell, Kimberly R.","contributorId":66836,"corporation":false,"usgs":true,"family":"Riddell","given":"Kimberly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353237,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gellner, Terry M.","contributorId":29563,"corporation":false,"usgs":true,"family":"Gellner","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":353233,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70005745,"text":"sir20115147 - 2011 - Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"sir20115147","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-5147","title":"Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world","docAbstract":"The Third USGS Modeling Conference was held June 7th-11, 2010, in Broomfield, Colorado. The conference focused on the development and application of analytical and theoretical models and data availability that support managing the Nation's resources and help protect lives and property. Participants at the conference included scientists and managers from Department of the Interior (DOI) Bureaus; national and international Federal, State, and local agencies; academic institutions; and nongovernmental organizations. The conference was organized according to DOI priorities and the strategic directions of the USGS Science Strategy; the following themes were emphasized: (1) Understanding Ecosystems and Restoring America's Treasured Landscapes; (2) Climate Change and Impact; (3) New Energy Frontier and Minerals for America; (4) A National Hazards, Risk, and Resilience Assessment Program; (5) Role of Environment and Wildlife in Human Health; (6) A Water Census of the United States; and (7) New Methods of Investigation and Discovery. The conference theme-\"Understanding and Predicting for a Changing World\"-focused on the following goals: advance development and application of models; provide tools that address management issues; present state-of-the-art models ranging from individual phenomena to integrated systems; and foster a working community among scientists and managers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115147","usgsCitation":"Brady, S.R., 2011, Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world: U.S. Geological Survey Scientific Investigations Report 2011-5147, x, 80 p.; Appendices, https://doi.org/10.3133/sir20115147.","productDescription":"x, 80 p.; Appendices","temporalStart":"2010-06-07","temporalEnd":"2010-06-11","costCenters":[{"id":261,"text":"Energy and Minerals and Environmental Health","active":false,"usgs":true}],"links":[{"id":116470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5147.gif"},{"id":94427,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5147/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660353","contributors":{"authors":[{"text":"Brady, Shailaja R. srbrady@usgs.gov","contributorId":1762,"corporation":false,"usgs":true,"family":"Brady","given":"Shailaja","email":"srbrady@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":353150,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70155351,"text":"70155351 - 2011 - Seasonal movements of non-native lake trout in a connected lake and river system","interactions":[],"lastModifiedDate":"2019-12-11T09:23:52","indexId":"70155351","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements of non-native lake trout in a connected lake and river system","docAbstract":"<p><span>Non-native lake trout,&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;(Walbaum), threaten native salmonid populations in the western United States. Effective management of lake trout requires understanding movements within connected lake and river systems. This study determined the seasonal movements of subadult lake trout in the Flathead River upstream of Flathead Lake, Montana, USA using radio telemetry. The spatiotemporal distribution of lake trout in the river was related to water temperature. Lake trout were detected in the river primarily during autumn, winter and spring, when water temperatures were cool. By contrast, fewer were detected when temperatures were warmest during summer and during high spring flows. Downriver movements to Flathead Lake occurred throughout autumn and winter when water temperature decreased below 5&nbsp;&deg;C, and in late spring as water temperature rose towards 15&nbsp;&deg;C and river discharge declined following spring runoff. Upriver movements occurred primarily in October, which coincided with migrations of prey fishes. These results suggest that lake trout are capable of moving throughout connected river and lake systems (up to 230&nbsp;km) and that warm water temperatures function as an impediment to occupancy of the river during summer. Controlling source populations and maintaining natural water temperatures may be effective management strategies for reducing the spread of non-native lake trout.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2400.2011.00821.x","usgsCitation":"Muhlfeld, C.C., Giersch, J., and Marotz, B., 2011, Seasonal movements of non-native lake trout in a connected lake and river system: Fisheries Management and Ecology, v. 19, no. 3, p. 224-232, https://doi.org/10.1111/j.1365-2400.2011.00821.x.","productDescription":"8 p.","startPage":"224","endPage":"232","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028535","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":306865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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