{"pageNumber":"2026","pageRowStart":"50625","pageSize":"25","recordCount":184717,"records":[{"id":97413,"text":"ofr20091030 - 2009 - Stakeholder Evaluation for Canaan Valley National Wildlife Refuge: Completion Report","interactions":[],"lastModifiedDate":"2012-02-02T00:15:07","indexId":"ofr20091030","displayToPublicDate":"2009-04-08T00:00:00","publicationYear":"2009","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":"2009-1030","title":"Stakeholder Evaluation for Canaan Valley National Wildlife Refuge: Completion Report","docAbstract":"The National Wildlife Refuge System, managed by the U.S. Fish and Wildlife Service (FWS), is the largest system of public lands in the world dedicated to wildlife conservation. There are over 545 national wildlife refuges nationwide, encompassing 95 million acres. As part of the National Wildlife Refuge System Improvement Act of 1997, each refuge is developing 15-year comprehensive conservation plans (CCPs). Each CCP describes a vision and desired future condition for the refuge and outlines goals, objectives, and management strategies for each refuge's habitat and visitor service programs. The CCP process for Canaan Valley National Wildlife Refuge (Refuge) in Davis, West Virginia was initiated in 2006. This planning process provides a unique opportunity for public input and involvement. Public involvement is an important part of the CCP process. Participation by parties with a stake in the resource (stakeholders) has the potential to increase understanding and support and reduce conflicts. Additionally, meaningful public participation in a decision process may increase trust and provide satisfaction in terms of both process and outcome for management and the public. Public meetings are a common way to obtain input from community members, visitors, and potential visitors. An 'Issues Workbook' is another tool the FWS uses to obtain public input and participation early in the planning process. Sometimes, however, these traditional methods do not capture the full range of perspectives that exist. A stakeholder evaluation is a way to more fully understand community preferences and opinions related to key topics in refuge planning. It can also help refuge staff understand how changes in management affect individuals in terms of their preference for services and experiences. Secondarily, a process such as this can address 'social goals' such as fostering trust in regulating agencies and reducing conflict among stakeholders. As part of the CCP planning effort at Canaan Valley National Wildlife Refuge, the FWS sponsored a stakeholder evaluation conducted by the Policy Analysis and Science Assistance Branch of U.S. Geological Survey, Fort Collins Science Center the winter of 2006-2007. The stakeholder evaluation was intended to answer the following questions: 1)Which Refuge management issues are most important, and to whom?, 2)How do opinions about what is most important to stakeholders overlap or conflict?, 3)Why do stakeholders emphasize specific issues, and what values are driving this?, and 4)What potential solutions do stakeholders have for addressing important issues? This information will be used by the Refuge to help guide development of their CCP as they strive to balance stakeholder desires with their charge to manage the unique wetlands and uplands of the Canaan Valley for wildlife conservation.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091030","usgsCitation":"Sexton, N.R., Burkardt, N., Swann, M.E., and Stewart, S., 2009, Stakeholder Evaluation for Canaan Valley National Wildlife Refuge: Completion Report: U.S. Geological Survey Open-File Report 2009-1030, vi, 66 p., https://doi.org/10.3133/ofr20091030.","productDescription":"vi, 66 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":195840,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12549,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1030/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67be0f","contributors":{"authors":[{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":302028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":302025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swann, Margaret Earlene","contributorId":73702,"corporation":false,"usgs":true,"family":"Swann","given":"Margaret","email":"","middleInitial":"Earlene","affiliations":[],"preferred":false,"id":302027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Susan C.","contributorId":48257,"corporation":false,"usgs":true,"family":"Stewart","given":"Susan C.","affiliations":[],"preferred":false,"id":302026,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97412,"text":"ofr20091049 - 2009 - Gas, water, and oil production from the Wasatch Formation, Greater Natural Buttes Field, Uinta Basin, Utah","interactions":[],"lastModifiedDate":"2018-08-28T15:49:18","indexId":"ofr20091049","displayToPublicDate":"2009-04-08T00:00:00","publicationYear":"2009","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":"2009-1049","title":"Gas, water, and oil production from the Wasatch Formation, Greater Natural Buttes Field, Uinta Basin, Utah","docAbstract":"Gas, oil, and water production data were compiled from 38 wells with production commencing during the 1980s from the Wasatch Formation in the Greater Natural Buttes field, Uinta Basin, Utah. This study is one of a series of reports examining fluid production from tight gas reservoirs, which are characterized by low permeability, low porosity, and the presence of clay minerals in pore space. The general ranges of production rates after 2 years are 100-1,000 mscf/day for gas, 0.35-3.4 barrel per day for oil, and less than 1 barrel per day for water. The water:gas ratio ranges from 0.1 to10 barrel per million standard cubic feet, indicating that free water is produced along with water dissolved in gas in the reservoir. The oil:gas ratios are typical of a wet gas system. Neither gas nor water rates show dependence upon the number of perforations, although for low gas-flow rates there is some dependence upon the number of sandstone intervals that were perforated. Over a 5-year time span, gas and water may either increase or decrease in a given well, but the changes in production rate do not exhibit any dependence upon well proximity or well location.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091049","usgsCitation":"Nelson, P.H., and Hoffman, E.L., 2009, Gas, water, and oil production from the Wasatch Formation, Greater Natural Buttes Field, Uinta Basin, Utah (Version 1.0): U.S. Geological Survey Open-File Report 2009-1049, Report: 19 p.; Plates: 24 x 18 inches; Downloads Directory, https://doi.org/10.3133/ofr20091049.","productDescription":"Report: 19 p.; Plates: 24 x 18 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":195323,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12548,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1049/","linkFileType":{"id":5,"text":"html"}},{"id":110809,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86473.htm","linkFileType":{"id":5,"text":"html"},"description":"86473"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,38 ], [ -112,41 ], [ -105.75,41 ], [ -105.75,38 ], [ -112,38 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b12c3","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":302023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Eric L.","contributorId":8954,"corporation":false,"usgs":true,"family":"Hoffman","given":"Eric","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":302024,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97414,"text":"sir20095010 - 2009 - Relations between Municipal Water Use and Selected Meteorological Parameters and Drought Indices, East-Central and Northeast Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"sir20095010","displayToPublicDate":"2009-04-08T00:00:00","publicationYear":"2009","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":"2009-5010","title":"Relations between Municipal Water Use and Selected Meteorological Parameters and Drought Indices, East-Central and Northeast Florida","docAbstract":"Water-use data collected between 1992 and 2006 at eight municipal water-supply utilities in east-central and northeast Florida were analyzed to identify seasonal trends in use and to quantify monthly variations. Regression analyses were applied to identify significant correlations between water use and selected meteorological parameters and drought indices. Selected parameters and indices include precipitation (P), air temperature (T), potential evapotranspiration (PET), available water (P-PET), monthly changes in these parameters (Delta P, Delta T, Delta PET, Delta(P-PET), the Palmer Drought Severity Index (PDSI), and the Standardized Precipitation Index (SPI). Selected utilities include the City of Daytona Beach (Daytona), the City of Eustis (Eustis), Gainesville Regional Utilities (GRU), Jacksonville Electric Authority (JEA), Orange County Utilities (OCU), Orlando Utilities Commission (OUC), Seminole County Utilities (SCU), and the City of St. Augustine (St. Augustine). Water-use rates at these utilities in 2006 ranged from about 3.2 million gallons per day at Eustis to about 131 million gallons per day at JEA.\r\n\r\nTotal water-use rates increased at all utilities throughout the 15-year period of record, ranging from about 4 percent at Daytona to greater than 200 percent at OCU and SCU. Metered rates, however, decreased at six of the eight utilities, ranging from about 2 percent at OCU and OUC to about 17 percent at Eustis. Decreases in metered rates occurred because the number of metered connections increased at a greater rate than did total water use, suggesting that factors other than just population growth may play important roles in water-use dynamics. Given the absence of a concurrent trend in precipitation, these decreases can likely be attributed to changes in non-climatic factors such as water-use type, usage of reclaimed water, water-use restrictions, demographics, and so forth. When averaged for the eight utilities, metered water-use rates depict a clear seasonal pattern in which rates were lowest in the winter and greatest in the late spring. Averaged water-use rates ranged from about 9 percent below the 15-year daily mean in January to about 11 percent above the daily mean in May.\r\n\r\nWater-use rates were found to be statistically correlated to meteorological parameters and drought indices, and to be influenced by system memory. Metered rates (in gallons per day per active metered connection) were consistently found to be influenced by P, T, PET, and P-PET and changes in these parameters that occurred in prior months. In the single-variant analyses, best correlations were obtained by fitting polynomial functions to plots of metered rates versus moving-averaged values of selected parameters (R2 values greater than 0.50 at three of eight sites). Overall, metered water-use rates were best correlated with the 3- to 4-month moving average of Delta T or Delta PET (R2 values up to 0.66), whereas the full suite of meteorological parameters was best correlated with metered rates at Daytona and least correlated with rates at St. Augustine. Similarly, metered rates were substantially better correlated with moving-averaged values of precipitation (significant at all eight sites) than with single (current) monthly values (significant at only three sites). Total and metered water-use rates were positively correlated with T, PET, Delta P, Delta T, and Delta PET, and negatively correlated with P, P-PET, Delta (P-PET), PDSI, and SPI. The drought indices were better correlated with total water-use rates than with metered rates, whereas metered rates were better correlated with meteorological parameters.\r\n\r\nMultivariant analyses produced fits of the data that explained a greater degree of the variance in metered rates than did the single-variant analyses. Adjusted R2 values for the 'best' models ranged from 0.79 at JEA to 0.29 at St. Augustine and exceeded 0.60 at five of eight sites. The amount of available water (P-PET) was the si","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095010","collaboration":"Prepared in cooperation with St. Johns River Water Management District","usgsCitation":"Murray, L.C., 2009, Relations between Municipal Water Use and Selected Meteorological Parameters and Drought Indices, East-Central and Northeast Florida: U.S. Geological Survey Scientific Investigations Report 2009-5010, vi, 31 p., https://doi.org/10.3133/sir20095010.","productDescription":"vi, 31 p.","onlineOnly":"Y","temporalStart":"1992-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":12550,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5010/","linkFileType":{"id":5,"text":"html"}},{"id":195713,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.75,28.25 ], [ -82.75,30.5 ], [ -80.75,30.5 ], [ -80.75,28.25 ], [ -82.75,28.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db6349a2","contributors":{"authors":[{"text":"Murray, Louis C. Jr.","contributorId":19980,"corporation":false,"usgs":true,"family":"Murray","given":"Louis","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":302029,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97409,"text":"sir20085227 - 2009 - Quality of Water from Domestic Wells in Principal Aquifers of the United States, 1991-2004","interactions":[],"lastModifiedDate":"2018-04-03T11:29:46","indexId":"sir20085227","displayToPublicDate":"2009-04-04T00:00:00","publicationYear":"2009","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":"2008-5227","title":"Quality of Water from Domestic Wells in Principal Aquifers of the United States, 1991-2004","docAbstract":"As part of the National Water-Quality Assessment Program of the U.S. Geological Survey (USGS), water samples were collected during 1991-2004 from domestic wells (private wells used for household drinking water) for analysis of drinking-water contaminants, where contaminants are considered, as defined by the Safe Drinking Water Act, to be all substances in water. Physical properties and the concentrations of major ions, trace elements, nutrients, radon, and organic compounds (pesticides and volatile organic compounds) were measured in as many as 2,167 wells; fecal indicator bacteria and radionuclides also were measured in some wells. The wells were located within major hydrogeologic settings of 30 regionally extensive aquifers used for water supply in the United States. One sample was collected from each well prior to any in-home treatment. Concentrations were compared to water-quality benchmarks for human health, either U.S. Environmental Protection Agency (USEPA) Maximum Contaminant Levels (MCLs) for public water supplies or USGS Health-Based Screening Levels (HBSLs).\r\n\r\nNo individual contaminant was present in concentrations greater than available health benchmarks in more than 8 percent of the sampled wells. Collectively, however, about 23 percent of wells had at least 1 contaminant present at concentrations greater than an MCL or HBSL, based on analysis of samples from 1,389 wells in which most contaminants were measured. Radon, nitrate, several trace elements, fluoride, gross alpha- and beta-particle radioactivity, and fecal indicator bacteria were found most frequently (in one or more percent of wells) at concentrations greater than benchmarks and, thus, are of potential concern for human health. Radon concentrations were greater than the lower of two proposed MCLs (300 picocuries per liter or pCi/L) in about 65 percent of the wells and greater than the higher proposed MCL (4,000 pCi/L) in about 4 percent of wells. Nitrate, arsenic, manganese, strontium, and gross alpha-particle radioactivity (uncorrected) each were present at levels greater than MCLs or HBSLs in samples from about 5 to 7 percent of the wells; boron, fluoride, uranium, and gross beta-particle radioactivity were present at levels greater than MCLs or HBSLs in about 1 to 2 percent of the wells. Total coliform and Escherichia coli bacteria were detected in about 34 and 8 percent, respectively, of sampled wells. Thus, with the exception of nitrate and fecal indicator bacteria, the contaminants that were present in the sampled wells most frequently at concentrations greater than human-health benchmarks were naturally occurring.\r\n\r\nAnthropogenic organic compounds were frequently detected at low concentrations, using typical analytical detection limits of 0.001 to 0.1 micrograms per liter, but were seldom present at concentrations greater than MCLs or HBSLs. The most frequently detected compounds included the pesticide atrazine, its degradate deethylatrazine, and the volatile organic compounds chloroform, methyl tert-butyl ether, perchloroethene, and dichlorofluoromethane. Only 7 of 168 organic compounds were present in samples at concentrations greater than MCLs or HBSLs, each in less than 1 percent of wells. These were diazinon, dibromochloroprane, dinoseb, dieldrin, ethylene dibromide, perchloroethene, and trichloroethene. Overall, concentrations of any organic compound greater than MCLs or HBSLs were present in 0.8 percent of wells, and concentrations of any organic compound greater than one-tenth of MCLs or HBSLs were present in about 3 percent of wells.\r\n\r\nSeveral other properties and contaminants were measured at values or concentrations outside of recommended ranges for drinking water for aesthetic quality (for example, taste or odor) or other non-health reasons. About 16 percent of the sampled wells had pH values less than (14.4 percent) or greater than (1.9 percent) the USEPA recommended range of 6.5 to 8.5. Total dissolved solids were greater than th","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085227","isbn":"9781411323513","collaboration":"Prepared in cooperation with the National Water-Quality Assessment Program","usgsCitation":"DeSimone, L., 2009, Quality of Water from Domestic Wells in Principal Aquifers of the United States, 1991-2004: U.S. Geological Survey Scientific Investigations Report 2008-5227, Report: xi, 139 p.; Appendixes, https://doi.org/10.3133/sir20085227.","productDescription":"Report: xi, 139 p.; Appendixes","additionalOnlineFiles":"Y","temporalStart":"1991-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195466,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12545,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5227/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db655113","contributors":{"authors":[{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":176711,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie A.","email":"ldesimon@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":302008,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97406,"text":"sir20095013 - 2009 - Proceedings of the Second All-USGS Modeling Conference, February 11-14, 2008: Painting the Big Picture","interactions":[],"lastModifiedDate":"2016-07-19T09:52:26","indexId":"sir20095013","displayToPublicDate":"2009-04-04T00:00:00","publicationYear":"2009","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":"2009-5013","title":"Proceedings of the Second All-USGS Modeling Conference, February 11-14, 2008: Painting the Big Picture","docAbstract":"<p>The Second USGS Modeling Conference was held February 11-14, 2008, in Orange Beach, Ala. Participants at the conference came from all U.S. Geological Survey (USGS) regions and represented all four science discipline - Biology, Geography, Geology, and Water. Representatives from other Department of the Interior (DOI) agencies and partners from the academic community also participated. The conference, which was focused on 'painting the big picture', emphasized the following themes: Integrated Landscape Monitoring, Global Climate Change, Ecosystem Modeling, and Hazards and Risks. The conference centered on providing a forum for modelers to meet, exchange information on current approaches, identify specific opportunities to share existing models and develop more linked and integrated models to address complex science questions, and increase collaboration across disciplines and with other organizations. Abstracts for the 31 oral presentations and more than 60 posters presented at the conference are included here. The conference also featured a field trip to review scientific modeling issues along the Gulf of Mexico. The field trip included visits to Mississippi Sandhill Crane National Wildlife Refuge, Grand Bay National Estuarine Research Reserve, the 5 Rivers Delta Resource Center, and Bon Secour National Wildlife Refuge. On behalf of all the participants of the Second All-USGS Modeling Conference, the conference organizing committee expresses our sincere appreciation for the support of field trip oganizers and leaders, including the managers from the various Reserves and Refuges. The organizing committee for the conference included Jenifer Bracewell, Sally Brady, Jacoby Carter, Thomas Casadevall, Linda Gundersen, Tom Gunther, Heather Henkel, Lauren Hay, Pat Jellison, K. Bruce Jones, Kenneth Odom, and Mark Wildhaber.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095013","usgsCitation":"2009, Proceedings of the Second All-USGS Modeling Conference, February 11-14, 2008: Painting the Big Picture: U.S. Geological Survey Scientific Investigations Report 2009-5013, x, 70 p., https://doi.org/10.3133/sir20095013.","productDescription":"x, 70 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-02-11","temporalEnd":"2008-02-14","costCenters":[],"links":[{"id":195024,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20095013.PNG"},{"id":12542,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5013/","linkFileType":{"id":5,"text":"html"}},{"id":325423,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5013/sir2009-5013.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db66045f","contributors":{"editors":[{"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":642876,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":97411,"text":"ofr20091053 - 2009 - Determination of polychlorinated biphenyls, selected persistent organochlorine pesticides, and polybrominated flame retardants in fillets of fishes from the 2007 Missouri Department of Conservation Monitoring Program","interactions":[],"lastModifiedDate":"2016-11-10T14:39:59","indexId":"ofr20091053","displayToPublicDate":"2009-04-04T00:00:00","publicationYear":"2009","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":"2009-1053","title":"Determination of polychlorinated biphenyls, selected persistent organochlorine pesticides, and polybrominated flame retardants in fillets of fishes from the 2007 Missouri Department of Conservation Monitoring Program","docAbstract":"This report presents the results of a study to determine polychlorinated biphenyl, organochlorine pesticide, and polybrominated diphenylether flame retardant concentrations in selected fishes from lakes and streams across Missouri. Fillets were collected from each fish sample and after homogenization, compositing, and preparation, analyte concentrations were determined with dual column capillary gas chromatography-electron-capture detection. Total concentrations of polychlorinated biphenyls in samples ranged from background levels of about 50 to 300 nanograms per gram. In samples with elevated contaminant concentrations, chlordanes, DDT-related chemicals, and dieldrin constituted the primary classes of pesticides present, and ranged from 5 to 75 nanograms per gram. Total concentrations of polybrominated diphenyl ethers in samples ranged from background levels of 5 to 86 nanograms per gram. Channel catfish from the upper and lower Blue River and lake sturgeon from the Mississippi River at Saverton exhibited different polybrominated diphenyl ethers ratios. Concentrations of polychlorinated biphenyls, chlordanes, DDT-related compounds, and polybrominated diphenyl ethers all were greatest in samples of channel catfish from the upper and lower Blue River, and in samples of lake sturgeon from the Mississippi River at Saverton.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091053","collaboration":"Prepared in cooperation with the Missouri Department of Conservation","usgsCitation":"Gale, R.W., Orazio, C.E., and McKee, M., 2009, Determination of polychlorinated biphenyls, selected persistent organochlorine pesticides, and polybrominated flame retardants in fillets of fishes from the 2007 Missouri Department of Conservation Monitoring Program: U.S. Geological Survey Open-File Report 2009-1053, iv, 21 p., https://doi.org/10.3133/ofr20091053.","productDescription":"iv, 21 p.","onlineOnly":"Y","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":195665,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20091053.jpg"},{"id":330941,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1053/pdf/OFR2009-1053.pdf","size":"742 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":12547,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1053/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db6679cd","contributors":{"authors":[{"text":"Gale, Robert W. 0000-0002-8533-141X rgale@usgs.gov","orcid":"https://orcid.org/0000-0002-8533-141X","contributorId":2808,"corporation":false,"usgs":true,"family":"Gale","given":"Robert","email":"rgale@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":302021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orazio, Carl E. 0000-0002-2532-9668 corazio@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-9668","contributorId":1366,"corporation":false,"usgs":true,"family":"Orazio","given":"Carl","email":"corazio@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":302020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKee, Michael J.","contributorId":59527,"corporation":false,"usgs":true,"family":"McKee","given":"Michael J.","affiliations":[],"preferred":false,"id":302022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97410,"text":"ofr20091029 - 2009 - Coastal Processes Study of Santa Barbara and Ventura Counties, California","interactions":[],"lastModifiedDate":"2012-02-02T00:14:27","indexId":"ofr20091029","displayToPublicDate":"2009-04-04T00:00:00","publicationYear":"2009","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":"2009-1029","title":"Coastal Processes Study of Santa Barbara and Ventura Counties, California","docAbstract":"The Santa Barbara littoral cell (SBLC) is a complex coastal system with significant management challenges. The coastline ranges broadly in exposure to wave energy, fluvial inputs, hard structures, and urbanization. Geologic influence (structural control) on coastline orientation exerts an important control on local beach behavior, with anthropogenic alterations and the episodic nature of sediment supply and transport also playing important roles. \r\n\r\nShort- and long-term temporal analyses of shoreline change, beach width, and volume change show no obvious trends in regional beach behavior. Extensive armoring along the SBLC has accreted the back beach, narrowing beach widths and in some cases increasing sediment transport. Unarmored beaches have exhibited mild erosion while maintaining similar widths. Harbor constructions have had notable impacts on downdrift beaches, but once the coastal system has equilibrated the signal becomes strongly dampened and littoral-drift gradients driven by natural shoreline orientation again become dominant. Sediment inputs from the Santa Clara River dominate sediment processes on beaches to the south. \r\n\r\nThe SBLC is dominated by episodic flood and storm-wave events. Exceptionally large accretion signals along this stretch of coastline are closely tied to major flood events when large amounts of sediment are deposited in deltas. These deltas decay over time, supplying downdrift beaches with sediment. Storm-wave impacts and gradients in alongshore transport can lead to beach rotations and migrating erosion hotspots when geological controls are weak. Annual and seasonal rates of cross-shore and alongshore transport are at least 2-3 times higher for the more west- and southwest-facing beaches south of the Ventura River as compared to the more sheltered beaches to the west/north. Gross littoral transports are good approximations of net littoral transports for beaches west/north of Ventura as transport is almost purely unidirectional. However, significant transport reversals occur intermittently in the east/south, especially adjacent to the Ventura and Channel Islands Harbors. For this reason, and due to the episodic nature of flood and storm wave events, using dredging rates from the harbors at Ventura and Channel Islands as a proxy for drift rates may be invalid. \r\n\r\nAn extensive grain-size investigation of the surface and shallow subsurface in the nearshore region of the SBLC identified only two sites for potential beach-nourishment material: offshore of Santa Barbara Harbor and Oil Piers. However, seismic-reflection lines offshore of Santa Barbara suggest shallow bedrock (< 1 m), so the volume of coarse material in this area may be limited. Sampling of the Santa Clara River delta was minimal, but this site could be promising. \r\n\r\nNumerical modeling shows that local beach behavior is primarily influenced by local littoral-drift gradients, which are in turn controlled by natural shoreline orientation. Given the high rates of net littoral drift and the relatively insignificant cross-shore transport in the SBLC, the SBLC should be considered a sediment-limited system (as opposed to a transport-limited system). Management actions, such as any future beach nourishment, would likely have a severely limited life span without employing additional measures that adequately address local littoral-drift gradients to retain added sand.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091029","usgsCitation":"Barnard, P., Revell, D.L., Hoover, D., Warrick, J., Brocatus, J., Draut, A.E., Dartnell, P., Elias, E., Mustain, N., Hart, P.E., and Ryan, H., 2009, Coastal Processes Study of Santa Barbara and Ventura Counties, California (Version 1.0): U.S. Geological Survey Open-File Report 2009-1029, Total: xxii, 904 p. - Report & Appendixes, https://doi.org/10.3133/ofr20091029.","productDescription":"Total: xxii, 904 p. - Report & Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12546,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1029/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeb7c","contributors":{"authors":[{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":302012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revell, David L.","contributorId":68832,"corporation":false,"usgs":true,"family":"Revell","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":302015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, Dan","contributorId":100496,"corporation":false,"usgs":true,"family":"Hoover","given":"Dan","email":"","affiliations":[],"preferred":false,"id":302019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warrick, Jon","contributorId":10504,"corporation":false,"usgs":true,"family":"Warrick","given":"Jon","affiliations":[],"preferred":false,"id":302009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brocatus, John","contributorId":66800,"corporation":false,"usgs":true,"family":"Brocatus","given":"John","email":"","affiliations":[],"preferred":false,"id":302013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":302017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dartnell, Pete","contributorId":33412,"corporation":false,"usgs":true,"family":"Dartnell","given":"Pete","email":"","affiliations":[],"preferred":false,"id":302010,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":302011,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mustain, Neomi","contributorId":96777,"corporation":false,"usgs":true,"family":"Mustain","given":"Neomi","email":"","affiliations":[],"preferred":false,"id":302018,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hart, Pat E.","contributorId":70504,"corporation":false,"usgs":true,"family":"Hart","given":"Pat","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":302016,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ryan, Holly F.","contributorId":67616,"corporation":false,"usgs":true,"family":"Ryan","given":"Holly F.","affiliations":[],"preferred":false,"id":302014,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":97405,"text":"sir20095008 - 2009 - Geomorphic segmentation, hydraulic geometry, and hydraulic microhabitats of the Niobrara River, Nebraska — Methods and initial results","interactions":[],"lastModifiedDate":"2022-01-24T21:30:08.178583","indexId":"sir20095008","displayToPublicDate":"2009-04-04T00:00:00","publicationYear":"2009","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":"2009-5008","title":"Geomorphic segmentation, hydraulic geometry, and hydraulic microhabitats of the Niobrara River, Nebraska — Methods and initial results","docAbstract":"The Niobrara River of Nebraska is a geologically, ecologically, and economically significant resource. The State of Nebraska has recognized the need to better manage the surface- and ground-water resources of the Niobrara River so they are sustainable in the long term. In cooperation with the Nebraska Game and Parks Commission, the U.S. Geological Survey is investigating the hydrogeomorphic settings and hydraulic geometry of the Niobrara River to assist in characterizing the types of broad-scale physical habitat attributes that may be of importance to the ecological resources of the river system. This report includes an inventory of surface-water and ground-water hydrology data, surface water-quality data, a longitudinal geomorphic segmentation and characterization of the main channel and its valley, and hydraulic geometry relations for the 330-mile section of the Niobrara River from Dunlap Diversion Dam in western Nebraska to the Missouri River confluence. Hydraulic microhabitats also were analyzed using available data from discharge measurements to demonstrate the potential application of these data and analysis methods.\r\n\r\nThe main channel of the Niobrara was partitioned into three distinct fluvial geomorphic provinces: an upper province characterized by open valleys and a sinuous, equiwidth channel; a central province characterized by mixed valley and channel settings, including several entrenched canyon reaches; and a lower province where the valley is wide, yet restricted, but the river also is wide and persistently braided. Within the three fluvial geomorphic provinces, 36 geomorphic segments were identified using a customized, process-orientated classification scheme, which described the basic physical characteristics of the Niobrara River and its valley. Analysis of the longitudinal slope characteristics indicated that the Niobrara River longitudinal profile may be largely bedrock-controlled, with slope inflections co-located at changes in bedrock type at river level. Hydraulic geometry relations indicated that local (at-a-station) channel adjustments of the Niobrara River to changing discharge are accommodated mainly by changes in velocity, and streamwise adjustments are accommodated through changes in channel width. Downstream hydraulic geometry relations are in general agreement with values previously published for rivers of the Great Plains, but coefficients are likely skewed low because the locations of the streamflow-gaging stations used in this analysis are located at natural or engineered constrictions and may not be accurately representing downstream adjustment processes of the Niobrara River. A demonstration analysis of hydraulic microhabitat attributes at a single station indicated that changes in velocity-related habitat types is the primary microhabitat adjustment over a range of discharges, but the magnitude of that adjustment for any particular discharge is temporally variable.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095008","collaboration":"Prepared in cooperation with the Nebraska Game and Parks Commission","usgsCitation":"Alexander, J.S., Zelt, R.B., and Schaepe, N.J., 2009, Geomorphic segmentation, hydraulic geometry, and hydraulic microhabitats of the Niobrara River, Nebraska — Methods and initial results: U.S. Geological Survey Scientific Investigations Report 2009-5008, vi, 52 p., https://doi.org/10.3133/sir20095008.","productDescription":"vi, 52 p.","onlineOnly":"Y","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":195619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":394782,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86465.htm"},{"id":12541,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5008/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","otherGeospatial":"Niobrara River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,42 ], [ -104,43.1667 ], [ -98.75,43.1667 ], [ -98.75,42 ], [ -104,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c179","contributors":{"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X jalexand@usgs.gov","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":2802,"corporation":false,"usgs":true,"family":"Alexander","given":"Jason","email":"jalexand@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zelt, Ronald B. 0000-0001-9024-855X rbzelt@usgs.gov","orcid":"https://orcid.org/0000-0001-9024-855X","contributorId":300,"corporation":false,"usgs":true,"family":"Zelt","given":"Ronald","email":"rbzelt@usgs.gov","middleInitial":"B.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaepe, Nathaniel J. 0000-0003-1776-7411 nschaepe@usgs.gov","orcid":"https://orcid.org/0000-0003-1776-7411","contributorId":2377,"corporation":false,"usgs":true,"family":"Schaepe","given":"Nathaniel","email":"nschaepe@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301996,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97407,"text":"cir1336 - 2009 - Thorium deposits of the United States — Energy resources for the future?","interactions":[],"lastModifiedDate":"2022-07-15T18:32:06.504287","indexId":"cir1336","displayToPublicDate":"2009-04-04T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1336","title":"Thorium deposits of the United States — Energy resources for the future?","docAbstract":"Many nations are exploring new ways to meet their growing energy supply needs, with a particular focus upon methods that produce lower carbon dioxide emissions compared to traditional oil, natural gas, and coal power plants. As a result, thorium-based nuclear power has experienced renewed attention as a potential energy source. Thus, it benefits the United States and other countries to identify and evaluate their indigenous thorium resources. This report describes the geology and resources of the principal thorium districts of the United States.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1336","usgsCitation":"Van Gosen, B.S., Gillerman, V.S., and Armbrustmacher, T.J., 2009, Thorium deposits of the United States — Energy resources for the future?: U.S. Geological Survey Circular 1336, iv, 22 p., https://doi.org/10.3133/cir1336.","productDescription":"iv, 22 p.","onlineOnly":"Y","costCenters":[{"id":169,"text":"Central Mineral Resources Team","active":false,"usgs":true}],"links":[{"id":403850,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86462.htm","linkFileType":{"id":5,"text":"html"}},{"id":195119,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12543,"rank":100,"type":{"id":15,"text":"Index 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J.","contributorId":31376,"corporation":false,"usgs":true,"family":"Armbrustmacher","given":"Theodore","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":302000,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97408,"text":"ofr20081381 - 2009 - Environmental Impact of the Contact and Sonoma Mercury Mines on Water, Sediment, and Biota in Anna Belcher and Little Sulphur Creek Watersheds, Sonoma County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"ofr20081381","displayToPublicDate":"2009-04-04T00:00:00","publicationYear":"2009","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":"2008-1381","title":"Environmental Impact of the Contact and Sonoma Mercury Mines on Water, Sediment, and Biota in Anna Belcher and Little Sulphur Creek Watersheds, Sonoma County, California","docAbstract":"The Contact and Sonoma mercury (Hg) deposits are among the youngest Hg deposits in the Coast Range Hg mineral belt and are located in the western part of the Clear Lake volcanic field in Sonoma County, California. The mine workings and tailings are located in the headwaters of Anna Belcher Creek, which is a tributary to Little Sulphur Creek. The Contact Hg mine produced about 1,000 flasks of Hg, and the Sonoma mine produced considerably less. Waste rock and tailings eroded from the Contact and Sonoma mines have contributed Hg-enriched mine waste material to the headwaters of Anna Belcher Creek. The mines are located on federal land managed by the U.S. Bureau of Land Management (USBLM). The USBLM requested that the U.S. Geological Survey (USGS) measure and characterize Hg and other geochemical constituents in tailings, sediment, water, and biota at the Contact and Sonoma mines and in Anna Belcher and Little Sulphur Creeks. This report is made in response to the USBLM request, the lead agency mandated to conduct a Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) - Removal Site Investigation (RSI). The RSI applies to removal of Hg-contaminated mine waste from the Contact and Sonoma mines as a means of reducing Hg transport to Anna Belcher and Little Sulphur Creeks. \r\n\r\nThis report summarizes data obtained from field sampling of mine tailings, waste rock, sediment, and water at the Contact and Sonoma mines that was initiated on April 20 during a storm event, and on June 19, 2001. Further sampling of water, sediment, and biota in a pond and tributaries that drain from the mine area was completed on April 1, 2003. Our results permit a preliminary assessment of the mining sources of Hg and associated chemical constituents that could elevate levels of monomethyl Hg (MMeHg) in tributaries and biota that are impacted by historic mining.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081381","collaboration":"Prepared in cooperation with the U.S. Bureau of Land Management","usgsCitation":"Rytuba, J.J., Hothem, R.L., May, J., Kim, C., Lawler, D., and Goldstein, D., 2009, Environmental Impact of the Contact and Sonoma Mercury Mines on Water, Sediment, and Biota in Anna Belcher and Little Sulphur Creek Watersheds, Sonoma County, California (Version 1.0): U.S. Geological Survey Open-File Report 2008-1381, Report: vi, 76 p.; Appendixes (xls), https://doi.org/10.3133/ofr20081381.","productDescription":"Report: vi, 76 p.; Appendixes (xls)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":660,"text":"Western Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":195437,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12544,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1381/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123,38.5 ], [ -123,39.25 ], [ -122.25,39.25 ], [ -122.25,38.5 ], [ -123,38.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db66919e","contributors":{"authors":[{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":302003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":302002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Jason T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":14791,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","affiliations":[],"preferred":false,"id":302006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, Christopher S.","contributorId":69258,"corporation":false,"usgs":true,"family":"Kim","given":"Christopher S.","affiliations":[],"preferred":false,"id":302007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawler, David","contributorId":11278,"corporation":false,"usgs":true,"family":"Lawler","given":"David","affiliations":[],"preferred":false,"id":302005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldstein, Daniel dgoldstein@usgs.gov","contributorId":4656,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel","email":"dgoldstein@usgs.gov","affiliations":[],"preferred":true,"id":302004,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97401,"text":"cir1332 - 2009 - The quality of our nation’s waters: Quality of water from domestic wells in principal aquifers of the United States, 1991–2004— Overview of major findings","interactions":[],"lastModifiedDate":"2023-07-11T19:54:05.654803","indexId":"cir1332","displayToPublicDate":"2009-04-03T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1332","title":"The quality of our nation’s waters: Quality of water from domestic wells in principal aquifers of the United States, 1991–2004— Overview of major findings","docAbstract":"More than 43 million people - about 15 percent of the U.S. population - rely on domestic wells as their source of drinking water (Hutson and others, 2004). The quality and safety of water from domestic wells, also known as private wells, are not regulated by the Federal Safe Drinking Water Act or, in most cases, by state laws. Rather, individual homeowners are responsible for maintaining their domestic well systems and for monitoring water quality. The lack of regular monitoring of domestic wells makes periodic assessments at national, regional, and local scales important sources for providing information about this key source of drinking water.\r\n\r\nThis study from the National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey (USGS) assesses water-quality conditions for about 2,100 domestic wells. The sampled wells are located in 48 states and in parts of 30 regionally extensive aquifers used for water supply in the United States. As many as 219 properties and contaminants, including pH, major ions, nutrients, trace elements, radon, pesticides, and volatile organic compounds (VOCs), were measured. Fecal indicator bacteria and additional radionuclides were analyzed for a smaller number of wells. The large number of contaminants assessed and the broad geographic coverage of the present study provides a foundation for an improved understanding of the quality of water from the major aquifers tapped by domestic supply wells in the United States.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1332","isbn":"9781411323506","usgsCitation":"DeSimone, L., Hamilton, P.A., and Gilliom, R.J., 2009, The quality of our nation’s waters: Quality of water from domestic wells in principal aquifers of the United States, 1991–2004— Overview of major findings: U.S. Geological Survey Circular 1332, vi, 49 p., https://doi.org/10.3133/cir1332.","productDescription":"vi, 49 p.","temporalStart":"1991-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment 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The bulk of the data consists of synthetic velocity time-histories. Peak ground velocity on a 1/60th degree grid and geodetic displacements from the simulations are also included. Details of the ground-motion simulations and analysis of the results are discussed in Aagaard and others (2008a,b).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds413","usgsCitation":"Aagaard, B.T., Barall, M., Brocher, T.M., Dolenc, D., Dreger, D., Graves, R.W., Harmsen, S., Hartzell, S.H., Larsen, S., McCandless, K., Nilsson, S., Petersson, N., Rodgers, A., Sjogreen, B., and Zoback, M., 2009, Data files for ground-motion simulations of the 1906 San Francisco earthquake and scenario earthquakes on the Northern San Andreas Fault (Version 1.0): U.S. Geological Survey Data Series 413, Report: iv, 22 p., https://doi.org/10.3133/ds413.","productDescription":"Report: iv, 22 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":235,"text":"Earthquake Hazards Program - Northern California","active":false,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":197745,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12534,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/413/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.5,35 ], [ -126.5,41.5 ], [ -119,41.5 ], [ -119,35 ], [ -126.5,35 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e4d6","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":301982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael mbarall@usgs.gov","contributorId":2595,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":301981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brocher, Thomas M. 0000-0002-9740-839X brocher@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":262,"corporation":false,"usgs":true,"family":"Brocher","given":"Thomas","email":"brocher@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":301979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dolenc, David","contributorId":62893,"corporation":false,"usgs":true,"family":"Dolenc","given":"David","email":"","affiliations":[],"preferred":false,"id":301987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dreger, Douglas","contributorId":20221,"corporation":false,"usgs":true,"family":"Dreger","given":"Douglas","affiliations":[],"preferred":false,"id":301985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Robert W. rwgraves@usgs.gov","contributorId":3149,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","middleInitial":"W.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":301983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harmsen, Stephen","contributorId":95977,"corporation":false,"usgs":true,"family":"Harmsen","given":"Stephen","affiliations":[],"preferred":false,"id":301992,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":301980,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Larsen, Shawn","contributorId":99836,"corporation":false,"usgs":true,"family":"Larsen","given":"Shawn","affiliations":[],"preferred":false,"id":301993,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCandless, Kathleen","contributorId":71841,"corporation":false,"usgs":true,"family":"McCandless","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":301990,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nilsson, Stefan","contributorId":77808,"corporation":false,"usgs":true,"family":"Nilsson","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":301991,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Petersson, N. Anders","contributorId":62091,"corporation":false,"usgs":true,"family":"Petersson","given":"N. Anders","affiliations":[],"preferred":false,"id":301986,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rodgers, Arthur","contributorId":64519,"corporation":false,"usgs":true,"family":"Rodgers","given":"Arthur","affiliations":[],"preferred":false,"id":301988,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sjogreen, Bjorn","contributorId":66131,"corporation":false,"usgs":true,"family":"Sjogreen","given":"Bjorn","email":"","affiliations":[],"preferred":false,"id":301989,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zoback, Mary Lou","contributorId":10029,"corporation":false,"usgs":true,"family":"Zoback","given":"Mary Lou","affiliations":[],"preferred":false,"id":301984,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":97398,"text":"sir20095001 - 2009 - Transport and sources of suspended sediment in the Mill Creek Watershed, Johnson County, Northeast Kansas, 2006-07","interactions":[],"lastModifiedDate":"2019-08-20T10:33:50","indexId":"sir20095001","displayToPublicDate":"2009-04-02T00:00:00","publicationYear":"2009","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":"2009-5001","title":"Transport and sources of suspended sediment in the Mill Creek Watershed, Johnson County, Northeast Kansas, 2006-07","docAbstract":"The U.S. Geological Survey, in cooperation with the Johnson County Stormwater Management Program, evaluated suspended-sediment transport and sources in the urbanizing, 57.4 mi2 Mill Creek watershed from February 2006 through June 2007. Sediment transport and sources were assessed spatially by continuous monitoring of streamflow and turbidity as well as sampling of suspended sediment at nine sites in the watershed.\r\n\r\nWithin Mill Creek subwatersheds (2.8-16.9 mi2), sediment loads at sites downstream from increased construction activity were substantially larger (per unit area) than those at sites downstream from mature urban areas or less-developed watersheds. Sediment transport downstream from construction sites primarily was limited by transport capacity (streamflow), whereas availability of sediment supplies primarily influenced transport downstream from mature urban areas. Downstream sampling sites typically had smaller sediment loads (per unit area) than headwater sites, likely because of sediment deposition in larger, less sloping stream channels. Among similarly sized storms, those with increased precipitation intensity transported more sediment at eight of the nine monitoring sites. Storms following periods of increased sediment loading transported less sediment at two of the nine monitoring sites.\r\n\r\nIn addition to monitoring performed in the Mill Creek watershed, sediment loads were computed for the four other largest watersheds (48.6-65.7 mi2) in Johnson County (Blue River, Cedar, Indian, and Kill Creeks) during the study period. In contrast with results from smaller watersheds in Mill Creek, sediment load (per unit area) from the most urbanized watershed in Johnson County (Indian Creek) was more than double that of other large watersheds. Potential sources of this sediment include legacy sediment from earlier urban construction, accelerated stream-channel erosion, or erosion from specific construction sites, such as stream-channel disturbance during bridge renovation. The implication of this finding is that sediment yields from larger watersheds may remain elevated after the majority of urban development is complete.\r\n\r\nSurface soil, channel-bank, suspended-sediment, and streambed-sediment samples were analyzed for grain size, nutrients, trace elements, and radionuclides in the Mill Creek watershed to characterize suspended sediment between surface or channel-bank sources. Although concentrations and activities of cobalt, nitrogen, selenium, total organic carbon, cesium-137, and excess lead-210 had significant differences between surface and channel-bank samples, biases resulting from urban construction, additional sorption of constituents during sediment transport, and inability to accurately represent erosion from rills and gullies precluded accurate characterization of suspended-sediment source.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095001","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Lee, C., Rasmussen, P.P., Ziegler, A., and Fuller, C.C., 2009, Transport and sources of suspended sediment in the Mill Creek Watershed, Johnson County, Northeast Kansas, 2006-07: U.S. Geological Survey Scientific Investigations Report 2009-5001, vi, 53 p., https://doi.org/10.3133/sir20095001.","productDescription":"vi, 53 p.","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":126726,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5001.jpg"},{"id":12528,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5001/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.08333333333333,38.733333333333334 ], [ -95.08333333333333,39.083333333333336 ], [ -94.58333333333333,39.083333333333336 ], [ -94.58333333333333,38.733333333333334 ], [ -95.08333333333333,38.733333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f0465","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":301968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":301967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":301965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":301966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97397,"text":"sir20085221 - 2009 - Hydrologic Conditions in Florida during Water Year 2007","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"sir20085221","displayToPublicDate":"2009-04-02T00:00:00","publicationYear":"2009","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":"2008-5221","title":"Hydrologic Conditions in Florida during Water Year 2007","docAbstract":"Record-high and record-low hydrologic conditions occurred during water year 2007 (October 1, 2006 - September 30, 2007) based on analyses of precipitation, surface-water flows, lake elevations, and ground-water levels. For example, the streamgage at Suwannee River at White Springs in northwest Florida recorded an annual streamflow of 103 cubic feet per second during 2007, or about 6 percent of the period-of-record average since monitoring began in 1906. Lake Okeechobee in south Florida reached record-low elevations (8.82 feet on July 2) since monitoring began in 1912. Several wells throughout the State registered period-of-record lowest daily maximum water levels.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085221","collaboration":"Prepared in cooperation with the Federal Water Cooperative Program National Streamflow Information Program","usgsCitation":"Verdi, R.J., Tomlinson, S.A., Irvin, R.B., and Fulcher, D.L., 2009, Hydrologic Conditions in Florida during Water Year 2007: U.S. Geological Survey Scientific Investigations Report 2008-5221, x, 45 p., https://doi.org/10.3133/sir20085221.","productDescription":"x, 45 p.","temporalStart":"2006-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":197808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5221/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88,24 ], [ -88,31 ], [ -79.5,31 ], [ -79.5,24 ], [ -88,24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db6145e7","contributors":{"authors":[{"text":"Verdi, Richard Jay","contributorId":51859,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","email":"","middleInitial":"Jay","affiliations":[],"preferred":false,"id":301963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomlinson, Stewart A.","contributorId":76002,"corporation":false,"usgs":true,"family":"Tomlinson","given":"Stewart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvin, Ronald B.","contributorId":36649,"corporation":false,"usgs":true,"family":"Irvin","given":"Ronald","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":301962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulcher, David L. dfulcher@usgs.gov","contributorId":4301,"corporation":false,"usgs":true,"family":"Fulcher","given":"David","email":"dfulcher@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":301961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97396,"text":"sir20095065 - 2009 - Comparison of Surface Flow Features from Lidar-Derived Digital Elevation Models with Historical Elevation and Hydrography Data for Minnehaha County, South Dakota","interactions":[],"lastModifiedDate":"2017-05-16T16:11:34","indexId":"sir20095065","displayToPublicDate":"2009-04-02T00:00:00","publicationYear":"2009","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":"2009-5065","title":"Comparison of Surface Flow Features from Lidar-Derived Digital Elevation Models with Historical Elevation and Hydrography Data for Minnehaha County, South Dakota","docAbstract":"The U.S. Geological Survey (USGS) has taken the lead in the creation of a valuable remote sensing product by incorporating digital elevation models (DEMs) derived from Light Detection and Ranging (lidar) into the National Elevation Dataset (NED), the elevation layer of 'The National Map'. High-resolution lidar-derived DEMs provide the accuracy needed to systematically quantify and fully integrate surface flow including flow direction, flow accumulation, sinks, slope, and a dense drainage network. In 2008, 1-meter resolution lidar data were acquired in Minnehaha County, South Dakota. The acquisition was a collaborative effort between Minnehaha County, the city of Sioux Falls, and the USGS Earth Resources Observation and Science (EROS) Center. With the newly acquired lidar data, USGS scientists generated high-resolution DEMs and surface flow features. This report compares lidar-derived surface flow features in Minnehaha County to 30- and 10-meter elevation data previously incorporated in the NED and ancillary hydrography datasets. Surface flow features generated from lidar-derived DEMs are consistently integrated with elevation and are important in understanding surface-water movement to better detect surface-water runoff, flood inundation, and erosion. Many topographic and hydrologic applications will benefit from the increased availability of accurate, high-quality, and high-resolution surface-water data. The remotely sensed data provide topographic information and data integration capabilities needed for meeting current and future human and environmental needs.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095065","usgsCitation":"Poppenga, S.K., Worstell, B.B., Stoker, J.M., and Greenlee, S.K., 2009, Comparison of Surface Flow Features from Lidar-Derived Digital Elevation Models with Historical Elevation and Hydrography Data for Minnehaha County, South Dakota: U.S. Geological Survey Scientific Investigations Report 2009-5065, vi, 25 p., https://doi.org/10.3133/sir20095065.","productDescription":"vi, 25 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":12526,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5065/ ","linkFileType":{"id":5,"text":"html"}},{"id":124778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5065.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae445","contributors":{"authors":[{"text":"Poppenga, Sandra K. 0000-0002-2846-6836","orcid":"https://orcid.org/0000-0002-2846-6836","contributorId":84465,"corporation":false,"usgs":true,"family":"Poppenga","given":"Sandra","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":301959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worstell, Bruce B. 0000-0001-8927-3336 worstell@usgs.gov","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":1815,"corporation":false,"usgs":true,"family":"Worstell","given":"Bruce","email":"worstell@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":301957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":301960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenlee, Susan K. sgreenlee@usgs.gov","contributorId":3326,"corporation":false,"usgs":true,"family":"Greenlee","given":"Susan","email":"sgreenlee@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":301958,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97400,"text":"ofr20091017 - 2009 - Analysis of vertical flow during ambient and pumped conditions in four monitoring wells at the Pantex Plant, Carson County, Texas, July-September 2008","interactions":[],"lastModifiedDate":"2016-08-22T13:13:27","indexId":"ofr20091017","displayToPublicDate":"2009-04-02T00:00:00","publicationYear":"2009","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":"2009-1017","title":"Analysis of vertical flow during ambient and pumped conditions in four monitoring wells at the Pantex Plant, Carson County, Texas, July-September 2008","docAbstract":"<p>The Pantex Plant is a U.S. Department of Energy/National Nuclear Security Administration (USDOE/NNSA)-owned, contractor-operated facility managed by Babcock &amp; Wilcox Technical Services Pantex, LLC (B&amp;W Pantex) in Carson County, Texas, approximately 17 miles northeast of Amarillo. The U.S. Geological Survey, in cooperation with B&amp;W Pantex through the USDOE/NNSA, made a series of flowmeter measurements and collected other borehole geophysical logs during July&ndash;September 2008 to analyze vertical flow in screened intervals of four selected monitoring wells (PTX01&ndash;1012, PTX06&ndash;1044, PTX06&ndash;1056, and PTX06&ndash;1068) at the Pantex Plant. Hydraulic properties (transmissivity values) of the section of High Plains (Ogallala) aquifer penetrated by the wells also were computed. Geophysical data were collected under ambient and pumped flow conditions in the four monitoring wells. Unusually large drawdowns occurred at two monitoring wells (PTX06&ndash;1044 and PTX06&ndash;1056) while the wells were pumped at relatively low rates. A decision was made to redevelop those wells, and logs were run again after redevelopment in the two monitoring wells.</p>\n<p>Logs collected in monitoring well PTX01&ndash;1012 during ambient conditions indicate a dynamic environment that probably was affected by pumping of nearby irrigation or public-supply wells. During pumping, downward vertical flow of 0.2 to 2.1 gallons per minute that occurred during ambient conditions was either reversed or reduced. During pumping, a gradual trend of more positive flowmeter values (upward flow) with distance up the well was observed. Estimated total transmissivity for four production zones identified from Flow&ndash;B numerical model results taken together was calculated to be about 3,100 feet squared per day.</p>\n<p>Logs collected in monitoring well PTX06&ndash;1044 during ambient conditions before redevelopment indicate a static environment with no flow. During pumping there was upward vertical flow at rates ranging from 0.1 to about 1.5 gallons per minute. During pumping, a gradual trend of more positive flowmeter values (upward flow) with distance up the well was observed. Estimated total transmissivity before redevelopment for five production zones identified from Flow&ndash;B numerical model results, and transmissivity values for each zone, are considered to be in error because of the lack of communication between the well and the aquifer before redevelopment. After redevelopment, logs for well PTX06&ndash;1044 during ambient conditions indicate a near-static environment with minimal downward flow. During pumping there was upward vertical flow at rates ranging from 0.5 to about 4.8 gallons per minute. During pumping, a gradual trend of more positive flowmeter values with distance up the well was observed. Estimated total transmissivity after redevelopment for the same five identified production zones taken together was calculated to be about 520 feet squared per day.</p>\n<p>Logs collected in monitoring well PTX06&ndash;1056 during ambient conditions before redevelopment indicate a static environment with no flow. During pumping there was upward vertical flow at rates ranging from 0.3 to about 1.5 gallons per minute. During pumping, a gradual trend of more positive flowmeter values (upward flow) with distance up the well was observed. Estimated total transmissivity before redevelopment for four production zones identified from Flow&ndash;B numerical model results taken together was calculated to be about 450 feet squared per day. After redevelopment, logs collected in monitoring well PTX06&ndash;1056 during ambient conditions indicate a near-static environment with no flow except for a very small amount of downward flow near the bottom of the well. During pumping there was upward vertical flow at rates ranging from 0.7 to about 2.9 gallons per minute. Estimated total transmissivity after redevelopment for five production zones identified from Flow&ndash;B numerical model results taken together was calculated to be about 330 feet squared per day.</p>\n<p>Logs collected in monitoring well PTX06&ndash;1068 during ambient conditions indicate a static environment with no flow. During pumping there was upward vertical flow at rates ranging from 0.4 to 4.8 gallons per minute. During pumping, a gradual trend of more positive flowmeter values (upward flow) with distance up the well was observed. Estimated total transmissivity for four production zones identified from Flow&ndash;B numerical model results taken together was calculated to be about 200 feet squared per day.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091017","collaboration":"Prepared in cooperation with the U.S. Department of Energy/National Nuclear Security Administration and Babcock & Wilcox Technical Services Pantex, LLC","usgsCitation":"Stanton, G.P., Thomas, J.V., and Stoval, J., 2009, Analysis of vertical flow during ambient and pumped conditions in four monitoring wells at the Pantex Plant, Carson County, Texas, July-September 2008: U.S. Geological Survey Open-File Report 2009-1017, iv, 27 p., https://doi.org/10.3133/ofr20091017.","productDescription":"iv, 27 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-07-01","temporalEnd":"2008-09-30","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":195329,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20091017.gif"},{"id":12530,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1017/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680ae2","contributors":{"authors":[{"text":"Stanton, Gregory P. 0000-0001-8622-0933 gstanton@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-0933","contributorId":1583,"corporation":false,"usgs":true,"family":"Stanton","given":"Gregory","email":"gstanton@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":301970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoval, Jeffery","contributorId":91585,"corporation":false,"usgs":true,"family":"Stoval","given":"Jeffery","email":"","affiliations":[],"preferred":false,"id":301972,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97399,"text":"sir20095041 - 2009 - Method for Estimating Water Withdrawals for Livestock in the United States, 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20095041","displayToPublicDate":"2009-04-02T00:00:00","publicationYear":"2009","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":"2009-5041","title":"Method for Estimating Water Withdrawals for Livestock in the United States, 2005","docAbstract":"Livestock water use includes ground water and surface water associated with livestock watering, feedlots, dairy operations, and other on-farm needs. The water may be used for drinking, cooling, sanitation, waste disposal, and other needs related to the animals. Estimates of water withdrawals for livestock are needed for water planning and management. \r\n\r\nThis report documents a method used to estimate withdrawals of fresh ground water and surface water for livestock in 2005 for each county and county equivalent in the United States, Puerto Rico, and the U.S. Virgin Islands. Categories of livestock included dairy cattle, beef and other cattle, hogs and pigs, laying hens, broilers and other chickens, turkeys, sheep and lambs, all goats, and horses (including ponies, mules, burros, and donkeys). Use of the method described in this report could result in more consistent water-withdrawal estimates for livestock that can be used by water managers and planners to determine water needs and trends across the United States.\r\n\r\nWater withdrawals for livestock in 2005 were estimated by using water-use coefficients, in gallons per head per day for each animal type, and livestock-population data. Coefficients for various livestock for most States were obtained from U.S. Geological Survey water-use program personnel or U.S. Geological Survey water-use publications. When no coefficient was available for an animal type in a State, the median value of reported coefficients for that animal was used. Livestock-population data were provided by the National Agricultural Statistics Service. County estimates were further divided into ground-water and surface-water withdrawals for each county and county equivalent. County totals from 2005 were compared to county totals from 1995 and 2000. Large deviations from 1995 or 2000 livestock withdrawal estimates were investigated and generally were due to comparison with reported withdrawals, differences in estimation techniques, differences in livestock coefficients, or use of livestock-population data from different sources.\r\n\r\nThe results of this study were distributed to U.S. Geological Survey water-use program personnel in each State during 2007. Water-use program personnel are required to submit estimated withdrawals for all categories of use in their States to the National Water-Use Information Program for inclusion in a national report describing water use in the United States during 2005. Water-use program personnel had the option of submitting these estimates, a modified version of these estimates, or their own set of estimates or reported data. Estimated withdrawals resulting from the method described in this report are not presented herein to avoid potential inconsistencies with estimated withdrawals for livestock that will be presented in the national report, as different methods used by water-use personnel may result in different withdrawal estimates. Estimated withdrawals also are not presented to avoid potential disclosure of data for individual livestock operations. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095041","usgsCitation":"Lovelace, J.K., 2009, Method for Estimating Water Withdrawals for Livestock in the United States, 2005: U.S. Geological Survey Scientific Investigations Report 2009-5041, iv, 7 p., https://doi.org/10.3133/sir20095041.","productDescription":"iv, 7 p.","onlineOnly":"Y","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":195773,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12529,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5041/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624a46","contributors":{"authors":[{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301969,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70157296,"text":"70157296 - 2009 - The application of induced polarization techniques to detect metal-bearing offshore anthropogenic waste and unexploded ordnance","interactions":[],"lastModifiedDate":"2021-10-21T14:32:35.043429","indexId":"70157296","displayToPublicDate":"2009-04-02T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The application of induced polarization techniques to detect metal-bearing offshore anthropogenic waste and unexploded ordnance","docAbstract":"<p><span>Raw sewage and industrial waste have been dumped into sensitive estuaries, bays, and sounds for centuries. The full extents of the resulting sludge deposits are largely unknown, because they move in response to tidal and long‐shore currents, and because they are often buried by younger inert sediments. USGS field and laboratory measurements of toxic mine waste and organic effluent samples suggest that anthropogenic wastes typically contain finely‐divided metal and metal‐sulfide particles. The anoxic environment provided by anthropogenic wastes promotes the growth of anaerobic bacteria, creating a self‐reducing environment. We suggest that the finely‐divided metal and metal‐sulfide particles are the products of bacterial reduction and precipitation. The fine‐grained metallic precipitates are ideal targets for a surface‐effect electrochemical detection methodology called Induced Polarization (IP). A USGS‐patented (1998/2001) marine IP streamer technology has recently been commercialized and used to map &ldquo;black smoker&rdquo; sulfide deposits and their disseminated halos in the Bismarck Sea (2005), and titanium‐sand deposits offshore of South Africa (2007). The marine induced polarization system can do this mapping in three dimensions, more rapidly (it is towed at 3 knots), and with far higher resolution that land‐based measurements or vibracoring. Laboratory‐scale studies at the USGS suggest that anthropogenic wastes may display a specific multi‐frequency IP spectral signature that may be applicable to waste‐deposit mapping.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009","conferenceDate":"March 29 - April 2 2009","conferenceLocation":"Fort Worth, Texas","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.3176681","usgsCitation":"Wynn, J., and Roberts, W., 2009, The application of induced polarization techniques to detect metal-bearing offshore anthropogenic waste and unexploded ordnance, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009, Fort Worth, Texas, March 29 - April 2 2009, p. 1104-1113, https://doi.org/10.4133/1.3176681.","productDescription":"10 p.","startPage":"1104","endPage":"1113","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010620","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":308258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2009-06-25","publicationStatus":"PW","scienceBaseUri":"55fbe44be4b05d6c4e50290a","contributors":{"authors":[{"text":"Wynn, Jeff","contributorId":24395,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","affiliations":[],"preferred":false,"id":572618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, William","contributorId":36175,"corporation":false,"usgs":true,"family":"Roberts","given":"William","email":"","affiliations":[],"preferred":false,"id":572619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224958,"text":"5224958 - 2009 - Postcatastrophe population dynamics and density dependence of an endemic island duck","interactions":[],"lastModifiedDate":"2021-03-05T19:52:48.182614","indexId":"5224958","displayToPublicDate":"2009-04-01T12:18:37","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Postcatastrophe population dynamics and density dependence of an endemic island duck","docAbstract":"<p><span>Laysan ducks (</span><span class=\"genus-species\">Anas laysanensis</span><span>) are restricted to approximately 9 km</span><sup>2</sup><span>&nbsp;in the Northwestern Hawaiian Islands, USA. To evaluate the importance of density dependence for Laysan ducks, we conducted a Bayesian analysis to estimate the parameters of a Gompertz model and the magnitude of process variation and observation error based on the fluctuations in Laysan duck abundance on Laysan Island from 1994 to 2007. This model described a stationary distribution for the population at carrying capacity that fluctuates around a long-term mean of 456 ducks and is between 316 to 636 ducks 95% of the time. This range of expected variability can be used to identify changes in population size that warn of catastrophic events. Density-dependent population dynamics may explain the recovery of Laysan duck from catastrophic declines and allow managers to identify population monitoring thresholds.</span></p>","language":"English","publisher":"BioOne","doi":"10.2193/2007-420","usgsCitation":"Seavy, N., Reynolds, M., Link, W., and Hatfield, J., 2009, Postcatastrophe population dynamics and density dependence of an endemic island duck: Journal of Wildlife Management, v. 73, no. 3, p. 414-418, https://doi.org/10.2193/2007-420.","productDescription":"5 p.","startPage":"414","endPage":"418","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":384200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e73f","contributors":{"authors":[{"text":"Seavy, N.E.","contributorId":26403,"corporation":false,"usgs":true,"family":"Seavy","given":"N.E.","affiliations":[],"preferred":false,"id":343286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, M.H. 0000-0001-7253-8158","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":64214,"corporation":false,"usgs":true,"family":"Reynolds","given":"M.H.","affiliations":[],"preferred":false,"id":343288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":343285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatfield, Jeff S.","contributorId":41372,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff S.","affiliations":[],"preferred":false,"id":343287,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224956,"text":"5224956 - 2009 - Distribution and abundance of host-seeking Culex species at three proximate locations with different levels of West Nile virus activity","interactions":[],"lastModifiedDate":"2023-02-23T16:12:15.593016","indexId":"5224956","displayToPublicDate":"2009-04-01T12:18:36","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Distribution and abundance of host-seeking <i>Culex</i> species at three proximate locations with different levels of West Nile virus activity","title":"Distribution and abundance of host-seeking Culex species at three proximate locations with different levels of West Nile virus activity","docAbstract":"<p><i>Culex</i><span>&nbsp;species were monitored at three proximate sites with historically different West Nile virus (WNV) activities. The site with human WNV transmission (epidemic) had the lowest abundance of the putative bridge vectors,&nbsp;</span><i>Culex pipiens</i><span>&nbsp;and&nbsp;</span><i>Cx. salinarius</i><span>. The site with horse cases but not human cases (epizootic) had the highest percent composition of&nbsp;</span><i>Cx. salinarius</i><span>, whereas the site with WNV-positive birds only (enzootic) had the highest&nbsp;</span><i>Cx. pipiens</i><span>abundance and percent composition. A total of 29 WNV-positive&nbsp;</span><i>Culex</i><span>&nbsp;pools were collected at the enzootic site, 17 at the epidemic site, and 14 at the epizootic site. Published models of human risk using&nbsp;</span><i>Cx. pipiens</i><span>&nbsp;and&nbsp;</span><i>Cx. salinarius</i><span>&nbsp;as the primary bridge vectors did not explain WNV activity at our sites. Other variables, such as additional vector species, environmental components, and socioeconomic factors, need to be examined to explain the observed patterns of WNV epidemic activity.</span></p>","language":"English","publisher":"American Society of Tropical Medicine & Hygene","doi":"10.4269/ajtmh.2009.80.661","usgsCitation":"Rochlin, I., Ginsberg, H., and Campbell, S., 2009, Distribution and abundance of host-seeking Culex species at three proximate locations with different levels of West Nile virus activity: American Journal of Tropical Medicine and Hygiene, v. 80, no. 4, p. 661-668, https://doi.org/10.4269/ajtmh.2009.80.661.","productDescription":"8 p.","startPage":"661","endPage":"668","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":489732,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/cels_past_depts_facpubs/87","text":"External Repository"},{"id":413348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a0b9","contributors":{"authors":[{"text":"Rochlin, Ilia","contributorId":101954,"corporation":false,"usgs":true,"family":"Rochlin","given":"Ilia","email":"","affiliations":[],"preferred":false,"id":343281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":343282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Scott R.","contributorId":10687,"corporation":false,"usgs":true,"family":"Campbell","given":"Scott R.","affiliations":[],"preferred":false,"id":343280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042332,"text":"70042332 - 2009 - Hydroecological factors governing surface water flow on a low-gradient floodplain","interactions":[],"lastModifiedDate":"2013-03-10T11:54:58","indexId":"70042332","displayToPublicDate":"2009-04-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydroecological factors governing surface water flow on a low-gradient floodplain","docAbstract":"\"Interrelationships between hydrology and aquatic ecosystems are better understood in streams and rivers compared to their surrounding floodplains. Our goal was to characterize the hydrology of the Everglades ridge and slough floodplain ecosystem, which is valued for the comparatively high biodiversity and connectivity of its parallel-drainage features but which has been degraded over the past century in response to flow reductions associated with flood control. We measured flow velocity, water depth, and wind velocity\ncontinuously for 3 years in an area of the Everglades with well-preserved parallel-drainage features (i.e., 200-m wide sloughs interspersed with slightly higher elevation and more densely vegetated ridges). Mean daily flow velocity averaged 0.32 cm s1 and ranged between 0.02 and 0.79 cm s1. Highest sustained velocities were associated with flow pulses caused by water releases from upstream hydraulic control structures that increased\nflow velocity by a factor of 2–3 on the floodplain for weeks at a time. The highest instantaneous measurements of flow velocity were associated with the passage of Hurricane Wilma in 2005 when the inverse barometric pressure effect increased flow velocity up to 5 cm s1 for several hours. Time-averaged flow velocities were 29% greater in sloughs compared to ridges because of marginally higher vegetative drag in ridges compared to sloughs, which contributed modestly (relative to greater water depth and flow\nduration in sloughs compared to ridges) to the predominant fraction (86%) of total discharge through the landscape occurring in sloughs. Univariate scaling relationships developed from theory of flow through vegetation, and our field data indicated that flow velocity increases with the square of water surface slope and the fourth power of stem diameter, decreases in direct proportion with increasing frontal area of vegetation, and is unrelated to water depth except for the influence that water depth has in controlling the\nsubmergence height of vegetation that varies vertically in its architectural characteristics. In the Everglades the result of interactions among controlling variables was that flow velocity was dominantly controlled by water surface slope variations responding to flow pulses more than spatial variation in vegetation characteristics or fluctuating water depth. Our findings indicate that floodplain managers could, in addition to managing water depth, manipulate the frequency and duration of inflow pulses to manage water surface\nslope, which would add further control over flow velocities, water residence times, sediment settling, biogeochemical transformations, and other processes that are important to floodplain function.\"","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2008WR007129","usgsCitation":"Harvey, J.W., Schaffranek, R.W., Noe, G., Larsen, L., Nowacki, D., and Benjamin L O'Connor, 2009, Hydroecological factors governing surface water flow on a low-gradient floodplain: Water Resources Research, v. 45, no. 3, https://doi.org/10.1029/2008WR007129.","startPage":"W03421","ipdsId":"IP-006259","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":476084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008wr007129","text":"Publisher Index Page"},{"id":269010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269009,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008WR007129"}],"country":"United States","volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-03-28","publicationStatus":"PW","scienceBaseUri":"53cd60f6e4b0b290850fd409","contributors":{"authors":[{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":471296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffranek, Raymond W.","contributorId":86314,"corporation":false,"usgs":true,"family":"Schaffranek","given":"Raymond","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":471301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":471298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Laurel G. lglarsen@usgs.gov","contributorId":1987,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","email":"lglarsen@usgs.gov","affiliations":[],"preferred":false,"id":471297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowacki, Daniel","contributorId":42850,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","affiliations":[],"preferred":false,"id":471299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benjamin L O'Connor","contributorId":128074,"corporation":true,"usgs":false,"organization":"Benjamin L O'Connor","id":535401,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182098,"text":"70182098 - 2009 -  Behavior and passage of juvenile salmonids during the evaluation of a fish screen at Cowlitz Falls Dam, Washington, 2008","interactions":[],"lastModifiedDate":"2017-02-16T10:49:49","indexId":"70182098","displayToPublicDate":"2009-04-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":" Behavior and passage of juvenile salmonids during the evaluation of a fish screen at Cowlitz Falls Dam, Washington, 2008","docAbstract":"<p>No abstract available&nbsp;</p>","language":"English","publisher":"Cowlitz river project TacomapPower report","usgsCitation":"Liedtke, T., Kock, T., Ekstrom, B., and Rondorf, D., 2009,  Behavior and passage of juvenile salmonids during the evaluation of a fish screen at Cowlitz Falls Dam, Washington, 2008.","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":335697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c835e4b025c4642862a2","contributors":{"authors":[{"text":"Liedtke, T.L.","contributorId":32800,"corporation":false,"usgs":true,"family":"Liedtke","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":669589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, T.J.","contributorId":39578,"corporation":false,"usgs":true,"family":"Kock","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":669590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ekstrom, B.K.","contributorId":177851,"corporation":false,"usgs":false,"family":"Ekstrom","given":"B.K.","email":"","affiliations":[],"preferred":false,"id":669591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rondorf, D.W.","contributorId":80789,"corporation":false,"usgs":true,"family":"Rondorf","given":"D.W.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":669592,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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