{"pageNumber":"848","pageRowStart":"21175","pageSize":"25","recordCount":40783,"records":[{"id":97429,"text":"ds419 - 2009 - PRISM3/GISS Topographic Reconstruction","interactions":[],"lastModifiedDate":"2012-02-02T00:15:04","indexId":"ds419","displayToPublicDate":"2009-04-11T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"419","title":"PRISM3/GISS Topographic Reconstruction","docAbstract":"The PRISM3/GISS topographic reconstruction is one of the global data sets incorporated into a new reconstruction for the mid-Piacenzian warm interval of the Pliocene, at about 3.3 to 3.0 Ma. The PRISM3/GISS topography-gridded data set is a digitization of a graphical reconstruction, provided at 2 deg x 2 deg resolution and based on updated paleoaltimetry data and a refined land/ocean mask. Mid-Piacenzian topography as shown in this data set is generally quite similar to modern topography, with three notable differences: (1) the coastline as shown is 25 meters higher than modern sea level, reflecting the hypothesized reduction in ice sheet volume; (2) Hudson Bay is filled in to low elevation, in the absence of evidence for submergence at that time; and (3) the West Antarctic ice sheet is absent, permitting open seaways to exist in Ellsworth and Marie Byrd Lands. Two alternate ice sheet configurations with corresponding vegetation schemes are available; one is a minor modification of the PRISM2 ice reconstruction, and one is derived from the British Antarctic Survey Ice Sheet Model (BAS ISM).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds419","collaboration":"Prepared in cooperation with NASA Goddard Institute for Space Studies, and the Center for Climate Systems Research at Columbia University","usgsCitation":"Sohl, L.E., Chandler, M.A., Schmunk, R.B., Mankoff, K., Jonas, J.A., Foley, K.M., and Dowsett, H.J., 2009, PRISM3/GISS Topographic Reconstruction: U.S. Geological Survey Data Series 419, iv, 6 p., https://doi.org/10.3133/ds419.","productDescription":"iv, 6 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":198369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12566,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/419/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689de3","contributors":{"authors":[{"text":"Sohl, Linda E.","contributorId":48281,"corporation":false,"usgs":true,"family":"Sohl","given":"Linda","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":302089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Mark A.","contributorId":101768,"corporation":false,"usgs":true,"family":"Chandler","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":302090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmunk, Robert B.","contributorId":106604,"corporation":false,"usgs":true,"family":"Schmunk","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":302091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mankoff, Ken","contributorId":26396,"corporation":false,"usgs":true,"family":"Mankoff","given":"Ken","email":"","affiliations":[],"preferred":false,"id":302088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jonas, Jeffrey A.","contributorId":12148,"corporation":false,"usgs":true,"family":"Jonas","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":302087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":302086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":302085,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":97427,"text":"ofr20091058 - 2009 - Comparison of NLCD with NWI Classifications of Baldwin and Mobile Counties, Alabama","interactions":[],"lastModifiedDate":"2012-02-02T00:15:04","indexId":"ofr20091058","displayToPublicDate":"2009-04-11T00:00:00","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":"2009-1058","title":"Comparison of NLCD with NWI Classifications of Baldwin and Mobile Counties, Alabama","docAbstract":"An assessment of the accuracy of National Land Cover Data 2001 as compared to National Wetlands Inventory mapping of Mobile and Baldwin Counties conducted by the U.S. Geological Survey's (USGS) National Wetlands Research Center (NWRC). Both classifications were checked against stratified randomly selected ground-based sites and with each other to compare the accuracy of the NLCD with NWI classification methods. For this accuracy comparison, numerous visits were made by photointerpreters to the Mobile Bay area to establish signatures for the modified NWI mapping. After all of the quadrangles in Baldwin and Mobile Counties were mapped, an accuracy assessment of those maps was conducted by field-checking the mapped classes with ground-based check sites. These same sites were used to check the accuracy of the NLCD and also as the basis for cross-walking the NLCD and NWI classification systems for direct comparison of the two methods. This accuracy assessment is dependent on a methodology and analysis developed for the unique characteristics and properties of NWI classification, which is mapped to polygon, as compared to NLCD, which uses raster classification and mapping. This cartographic presentation results in fundamentally different classification boundaries. Overlaying these map types cannot prevent boundary differences resulting in a tremendous proliferation of sliver polygons. The intersection of both maps resulted in three-quarters of a million polygons, nearly half of which were less than the 900-m2 pixel size used in NLCD mapping (the smaller of the minimum mapping units of NWI and NLCD versus NWI mapping was about 0.5 ha). It is the authors' opinion that this cartographic difference needs to be more fully explored before accepting the accuracy difference between NWI and NLCD presented here at face value.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091058","collaboration":"Prepared in cooperation with the Alabama Department of Conservation and Natural Resources, Mobile Bay National Estuary Program, National Oceanic and Atmospheric Administration, and U.S. Environmental Protection Agency","usgsCitation":"Handley, L., and Wells, C., 2009, Comparison of NLCD with NWI Classifications of Baldwin and Mobile Counties, Alabama: U.S. Geological Survey Open-File Report 2009-1058, iv, 11 p., https://doi.org/10.3133/ofr20091058.","productDescription":"iv, 11 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":198368,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12564,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1058/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae432","contributors":{"authors":[{"text":"Handley, Larry","contributorId":66803,"corporation":false,"usgs":true,"family":"Handley","given":"Larry","email":"","affiliations":[],"preferred":false,"id":302079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Chris","contributorId":80382,"corporation":false,"usgs":true,"family":"Wells","given":"Chris","email":"","affiliations":[],"preferred":false,"id":302080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97422,"text":"sir20085195 - 2009 - U.S. Geological Survey Science Strategy for the Wyoming Landscape Conservation Initiative","interactions":[],"lastModifiedDate":"2018-09-24T10:16:07","indexId":"sir20085195","displayToPublicDate":"2009-04-10T00:00:00","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":"2008-5195","title":"U.S. Geological Survey Science Strategy for the Wyoming Landscape Conservation Initiative","docAbstract":"Southwest Wyoming's wildlife and habitat resources are increasingly affected by energy and urban/exurban development, climate change, and other key drivers of ecosystem change. To ensure that southwest Wyoming's wildlife populations and habitats persist in the face of development and other changes, a consortium of public resource-management agencies proposed the Wyoming Landscape Conservation Initiative (WLCI), the overall goal of which is to implement conservation actions. As the principal agency charged with conducting WLCI science, the U.S. Geological Survey (USGS) has developed a Science Strategy for the WLCI. Workshops were held for all interested parties to identify and refine the most pressing management needs for achieving WLCI goals. Research approaches for addressing those needs include developing conceptual models for understanding ecosystem function, identifying key drivers of change affecting WLCI ecosystems, and conducting scientific monitoring and experimental studies to better understand ecosystems processes, cumulative effects of change, and effectiveness of habitat treatments. The management needs drive an iterative, three-phase framework developed for structuring and growing WLCI science efforts: Phase I entails synthesizing existing information to assess current conditions, determining what is already known about WLCI ecosystems, and providing a foundation for future work; Phase II entails conducting targeted research and monitoring to address gaps in data and knowledge during Phase I; and Phase III entails integrating new knowledge into WLCI activities and coordinating WLCI partners and collaborators. Throughout all three phases, information is managed and made accessible to interested parties and used to guide and improve management and conservation actions, future habitat treatments, best management practices, and other conservation activities.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085195","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Chong, G.W., Drummond, M.A., Homer, C.G., Johnson, R.C., Kauffman, M., Knick, S.T., Kosovich, J.J., Miller, K.A., Owens, T., Shafer, S.L., and Sweat, M.J., 2009, U.S. Geological Survey Science Strategy for the Wyoming Landscape Conservation Initiative: U.S. Geological Survey Scientific Investigations Report 2008-5195, vi, 26 p., https://doi.org/10.3133/sir20085195.","productDescription":"vi, 26 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":12558,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5195/","linkFileType":{"id":5,"text":"html"}},{"id":125657,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5195.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.25,41 ], [ -111.25,43.5 ], [ -106.75,43.5 ], [ -106.75,41 ], [ -111.25,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f9e4b07f02db5f30bb","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":302058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":302067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":302065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":302057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":302064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":302062,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Ronald C. 0000-0002-6197-5165 rcjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":1550,"corporation":false,"usgs":true,"family":"Johnson","given":"Ronald","email":"rcjohnson@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":302060,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":2963,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":302063,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":302054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kosovich, John J. 0000-0002-3795-4436 jjkosovich@usgs.gov","orcid":"https://orcid.org/0000-0002-3795-4436","contributorId":1470,"corporation":false,"usgs":true,"family":"Kosovich","given":"John","email":"jjkosovich@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":302059,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Miller, Kirk A. 0000-0002-8141-2001 kmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-8141-2001","contributorId":3959,"corporation":false,"usgs":true,"family":"Miller","given":"Kirk","email":"kmiller@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302066,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Owens, Tom tom_owens@usgs.gov","contributorId":207,"corporation":false,"usgs":true,"family":"Owens","given":"Tom","email":"tom_owens@usgs.gov","affiliations":[],"preferred":true,"id":302055,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shafer, Sarah L. 0000-0003-3739-2637 sshafer@usgs.gov","orcid":"https://orcid.org/0000-0003-3739-2637","contributorId":1684,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah","email":"sshafer@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":302061,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sweat, Michael J. mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302056,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":97418,"text":"sir20095031 - 2009 - Using the Soil and Water Assessment Tool (SWAT) to Simulate Runoff in Mustang Creek Basin, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"sir20095031","displayToPublicDate":"2009-04-10T00:00:00","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":"2009-5031","title":"Using the Soil and Water Assessment Tool (SWAT) to Simulate Runoff in Mustang Creek Basin, California","docAbstract":"This study is an evaluation of the calibration and validation of the Soil and Water Assessment Tool (SWAT) version 2005 watershed model for the Mustang Creek Basin, San Joaquin Valley, California. The study is part of a national study on the process of agricultural chemical movement through the hydrologic system, which is being done by the U.S. Geological Survey (USGS) National Water-Quality Assessment program. The SWAT model was used to simulate streamflow in the Mustang Creek Basin on the basis of a set of model inputs derived and modified from various data sources.\r\n\r\nThe 2005 version of the model was calibrated for 29 days in February 2004, and validated for 58 days in January and February 2005. Measured streamflow for a USGS gaging station was used for model calibration and validation. Results of the simulated monthly streamflow had a Nash Sutcliffe efficiency value of 0.72 during the calibration period. The 2005 version of the model was unsuccessful in simulating streamflow during the validation period, as indicated by a Nash Sutcliffe efficiency value of 0.33. This lack of a successful simulation probably is due to the limited amount of measured streamflow data available for calibration, the ephemeral nature of flows in Mustang Creek, and the fact that the SWAT model was developed primarily for long time period (2 years and more) simulations and not for limited monthly simulations as used in Mustang Creek.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095031","usgsCitation":"Saleh, D.K., Kratzer, C.R., Green, C.H., and Evans, D.G., 2009, Using the Soil and Water Assessment Tool (SWAT) to Simulate Runoff in Mustang Creek Basin, California: U.S. Geological Survey Scientific Investigations Report 2009-5031, vii, 30 p., https://doi.org/10.3133/sir20095031.","productDescription":"vii, 30 p.","temporalStart":"2003-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":124758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5031.jpg"},{"id":12554,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5031/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,37.25 ], [ -121,38 ], [ -119.25,38 ], [ -119.25,37.25 ], [ -121,37.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a2e4b07f02db5beb6a","contributors":{"authors":[{"text":"Saleh, Dina K. 0000-0002-1406-9303","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":24737,"corporation":false,"usgs":false,"family":"Saleh","given":"Dina","email":"","middleInitial":"K.","affiliations":[{"id":16706,"text":"California State University, CA","active":true,"usgs":false}],"preferred":false,"id":302043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":302044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Colleen H.","contributorId":74103,"corporation":false,"usgs":true,"family":"Green","given":"Colleen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":302045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, David G.","contributorId":80787,"corporation":false,"usgs":true,"family":"Evans","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":302046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97420,"text":"sir20095059 - 2009 - Hydrologic characterization for Spring Creek and hydrologic budget and model scenarios for Sheridan Lake, South Dakota, 1962-2007","interactions":[],"lastModifiedDate":"2017-10-14T12:10:58","indexId":"sir20095059","displayToPublicDate":"2009-04-10T00:00:00","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":"2009-5059","title":"Hydrologic characterization for Spring Creek and hydrologic budget and model scenarios for Sheridan Lake, South Dakota, 1962-2007","docAbstract":"The U.S. Geological Survey cooperated with South Dakota Game, Fish and Parks to characterize hydrologic information relevant to management of water resources associated with Sheridan Lake, which is formed by a dam on Spring Creek. This effort consisted primarily of characterization of hydrologic data for a base period of 1962 through 2006, development of a hydrologic budget for Sheridan Lake for this timeframe, and development of an associated model for simulation of storage deficits and drawdown in Sheridan Lake for hypothetical release scenarios from the lake. Historically, the dam has been operated primarily as a 'pass-through' system, in which unregulated outflows pass over the spillway; however, the dam recently was retrofitted with an improved control valve system that would allow controlled releases of about 7 cubic feet per second (ft3/s) or less from a fixed depth of about 60 feet (ft).\r\n\r\nDevelopment of a hydrologic budget for Sheridan Lake involved compilation, estimation, and characterization of data sets for streamflow, precipitation, and evaporation. The most critical data need was for extrapolation of available short-term streamflow records for Spring Creek to be used as the long-term inflow to Sheridan Lake. Available short-term records for water years (WY) 1991-2004 for a gaging station upstream from Sheridan Lake were extrapolated to WY 1962-2006 on the basis of correlations with streamflow records for a downstream station and for stations located along two adjacent streams. Comparisons of data for the two streamflow-gaging stations along Spring Creek indicated that tributary inflow is approximately proportional to the intervening drainage area, which was used as a means of estimating tributary inflow for the hydrologic budget. Analysis of evaporation data shows that sustained daily rates may exceed maximum monthly rates by a factor of about two.\r\n\r\nA long-term (1962-2006) hydrologic budget was developed for computation of reservoir outflow from Sheridan Lake for the historical pass-through operating system. Two inflow components (stream inflow and precipitation) and one outflow component (evaporation) were considered. The hydrologic budget uses monthly time steps within a computational year that includes two 6-month periods - May through October, for which evaporation is accounted for, and November through April, when evaporation is considered negligible. Results indicate that monthly evaporation rates can substantially exceed inflow during low-flow periods, and potential exists for outflows to begin approaching zero-flow conditions substantially prior to the onset of zero-inflow conditions, especially when daily inflow and evaporation are considered. Results also indicate that September may be the month for greatest potential benefit for enhancing fish habitat and other ecosystem values in downstream reaches of Spring Creek with managed releases of cool water. Computed monthly outflows from Sheridan Lake for September are less than 1.0 ft3/s for 8 of the 44 years (18 percent) and are less than 2.0 ft3/s for 14 of the 44 years (32 percent). Conversely, none of the computed outflows for May are less than 2.0 ft3/s.\r\n\r\nA short-term (July through September 2007) data set was used to calculate daily evaporation from Sheridan Lake and to evaluate the applicability of published pan coefficients. Computed values of pan coefficients of approximately 1.0 and 1.1 for two low-flow periods are larger than the mean annual pan coefficient of 0.74 for the area that is reported in the literature; however, the computed values are consistent with pan coefficients reported elsewhere for similar late summer and early fall periods. Thus, these results supported the use of variable monthly pan coefficients for the long-term hydrologic budget.\r\n\r\nA hydrologic model was developed using the primary components of the hydrologic budget and was used to simulate monthly storage deficits and drawdown for Sheridan Lake using hypothetical ","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095059","isbn":"9781411323988","collaboration":"Prepared in cooperation with South Dakota Game, Fish and Parks","usgsCitation":"Driscoll, D.G., and Norton, P.A., 2009, Hydrologic characterization for Spring Creek and hydrologic budget and model scenarios for Sheridan Lake, South Dakota, 1962-2007: U.S. Geological Survey Scientific Investigations Report 2009-5059, viii, 81 p., https://doi.org/10.3133/sir20095059.","productDescription":"viii, 81 p.","temporalStart":"1962-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":195306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12556,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5059/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Sheridan Lake, Spring Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.86749999999999,43.75 ], [ -103.86749999999999,44.25 ], [ -103.25,44.25 ], [ -103.25,43.75 ], [ -103.86749999999999,43.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db6144aa","contributors":{"authors":[{"text":"Driscoll, Daniel G. dgdrisco@usgs.gov","contributorId":1558,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norton, Parker A. 0000-0002-4638-2601 pnorton@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-2601","contributorId":2257,"corporation":false,"usgs":true,"family":"Norton","given":"Parker","email":"pnorton@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302052,"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":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":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":97402,"text":"ofr20091045 - 2009 - An Index to PGE-Ni-Cr Deposits and Occurrences in Selected Mineral-Occurrence Databases","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"ofr20091045","displayToPublicDate":"2009-04-03T00:00:00","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":"2009-1045","title":"An Index to PGE-Ni-Cr Deposits and Occurrences in Selected Mineral-Occurrence Databases","docAbstract":"Databases of mineral deposits and occurrences are essential to conducting assessments of undiscovered mineral resources. In the USGS's (U.S. Geological Survey) global assessment of undiscovered resources of copper, potash, and the platinum-group elements (PGE), only a few mineral deposit types will be evaluated. For example, only porphyry-copper and sediment-hosted copper deposits will be considered for the copper assessment. To support the global assessment, the USGS prepared comprehensive compilations of the occurrences of these two deposit types in order to develop grade and tonnage models and delineate permissive areas for undiscovered deposits of those types. \r\n\r\nThis publication identifies previously published databases and database records that describe PGE, nickel, and chromium deposits and occurrences. Nickel and chromium were included in this overview because of the close association of PGE with nickel and chromium mineralization. Users of this database will need to refer to the original databases for detailed information about the deposits and occurrences. This information will be used to develop a current and comprehensive global database of PGE deposits and occurrences.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091045","usgsCitation":"Causey, J.D., Galloway, J.P., and Zientek, M.L., 2009, An Index to PGE-Ni-Cr Deposits and Occurrences in Selected Mineral-Occurrence Databases (Version 1.0): U.S. Geological Survey Open-File Report 2009-1045, Report: iii, 16 p.; Database; GIS Files; Text Files; Google Earth Files, https://doi.org/10.3133/ofr20091045.","productDescription":"Report: iii, 16 p.; Database; GIS Files; Text Files; Google Earth Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":659,"text":"Western Mineral Resources Program","active":false,"usgs":true}],"links":[{"id":198337,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12533,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1045/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180,-90 ], [ -180,90 ], [ 180,90 ], [ 180,-90 ], [ -180,-90 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686501","contributors":{"authors":[{"text":"Causey, J. Douglas","contributorId":41398,"corporation":false,"usgs":true,"family":"Causey","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":301978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, John P. jgallway@usgs.gov","contributorId":3345,"corporation":false,"usgs":true,"family":"Galloway","given":"John","email":"jgallway@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":301977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":301976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"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":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":70179545,"text":"70179545 - 2009 - Fire in the Earth system","interactions":[],"lastModifiedDate":"2017-01-04T12:45:08","indexId":"70179545","displayToPublicDate":"2009-04-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Fire in the Earth system","docAbstract":"<p><span>Fire is a worldwide phenomenon that appears in the geological record soon after the appearance of terrestrial plants. Fire influences global ecosystem patterns and processes, including vegetation distribution and structure, the carbon cycle, and climate. Although humans and fire have always coexisted, our capacity to manage fire remains imperfect and may become more difficult in the future as climate change alters fire regimes. This risk is difficult to assess, however, because fires are still poorly represented in global models. Here, we discuss some of the most important issues involved in developing a better understanding of the role of fire in the Earth system.</span></p>","language":"English","publisher":"Science","doi":"10.1126/science.1163886","usgsCitation":"Bowman, D.M., Balch, J., Artaxo, P., Bond, W.J., Carlson, J.M., Cochrane, M.A., D'Antonio, C., DeFries, R.S., Doyle, J.C., Harrison, S.P., Johnston, F.H., Keeley, J.E., Krawchuk, M.A., Kull, C.A., Marston, J.B., Moritz, M., Prentice, I.C., Roos, C.I., Scott, A.C., Swetnam, T., van der Werf, G., and Pyne, S., 2009, Fire in the Earth system: Science, v. 324, no. 5926, p. 481-484, https://doi.org/10.1126/science.1163886.","productDescription":"4 p.","startPage":"481","endPage":"484","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":476088,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":332867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"324","issue":"5926","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586e1827e4b0f5ce109fcaef","contributors":{"authors":[{"text":"Bowman, David M. J. S.","contributorId":26803,"corporation":false,"usgs":false,"family":"Bowman","given":"David","email":"","middleInitial":"M. J. S.","affiliations":[],"preferred":false,"id":657609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balch, Jennifer","contributorId":70532,"corporation":false,"usgs":false,"family":"Balch","given":"Jennifer","affiliations":[],"preferred":false,"id":657610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Artaxo, Paulo","contributorId":10540,"corporation":false,"usgs":false,"family":"Artaxo","given":"Paulo","email":"","affiliations":[],"preferred":false,"id":657611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson, Jean M.","contributorId":177943,"corporation":false,"usgs":false,"family":"Carlson","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657613,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochrane, Mark A.","contributorId":20884,"corporation":false,"usgs":false,"family":"Cochrane","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657614,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D'Antonio, Carla M.","contributorId":27992,"corporation":false,"usgs":false,"family":"D'Antonio","given":"Carla M.","affiliations":[],"preferred":false,"id":657615,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeFries, Ruth S.","contributorId":57822,"corporation":false,"usgs":true,"family":"DeFries","given":"Ruth","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":657616,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Doyle, John C.","contributorId":177944,"corporation":false,"usgs":false,"family":"Doyle","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":657617,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harrison, Sandy P.","contributorId":177945,"corporation":false,"usgs":false,"family":"Harrison","given":"Sandy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":657618,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnston, Fay H.","contributorId":64377,"corporation":false,"usgs":false,"family":"Johnston","given":"Fay","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":657619,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657620,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Krawchuk, Meg A.","contributorId":13366,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657621,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kull, Christian A.","contributorId":14941,"corporation":false,"usgs":false,"family":"Kull","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657622,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Marston, J. Brad","contributorId":177946,"corporation":false,"usgs":false,"family":"Marston","given":"J.","email":"","middleInitial":"Brad","affiliations":[],"preferred":false,"id":657623,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Moritz, Max A.","contributorId":57586,"corporation":false,"usgs":false,"family":"Moritz","given":"Max A.","affiliations":[],"preferred":false,"id":657624,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Prentice, I. Colin","contributorId":169503,"corporation":false,"usgs":false,"family":"Prentice","given":"I.","email":"","middleInitial":"Colin","affiliations":[{"id":25536,"text":"Imperial  College, UK","active":true,"usgs":false}],"preferred":false,"id":657625,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Roos, Christopher I.","contributorId":51009,"corporation":false,"usgs":false,"family":"Roos","given":"Christopher","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":657626,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Scott, Andrew C.","contributorId":43487,"corporation":false,"usgs":false,"family":"Scott","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":657627,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Swetnam, Thomas W.","contributorId":90455,"corporation":false,"usgs":false,"family":"Swetnam","given":"Thomas W.","affiliations":[],"preferred":false,"id":657628,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"van der Werf, Guido R.","contributorId":177947,"corporation":false,"usgs":false,"family":"van der Werf","given":"Guido R.","affiliations":[],"preferred":false,"id":657629,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Pyne, Stephen","contributorId":61145,"corporation":false,"usgs":false,"family":"Pyne","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":657630,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70179331,"text":"70179331 - 2009 - A spatial model to assess the effects of hydropower operations on Columbia River fall Chinook Salmon spawning habitat","interactions":[],"lastModifiedDate":"2017-06-30T15:35:20","indexId":"70179331","displayToPublicDate":"2009-04-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A spatial model to assess the effects of hydropower operations on Columbia River fall Chinook Salmon spawning habitat","docAbstract":"<p><span>Priest Rapids Dam on the Columbia River produces large daily and hourly streamflow fluctuations throughout the Hanford Reach during the period when fall Chinook salmon </span><i>Oncorhynchus tshawytscha</i><span> are selecting spawning habitat, constructing redds, and actively engaged in spawning. Concern over the detrimental effects of these fluctuations prompted us to quantify the effects of variable flows on the amount and persistence of fall Chinook salmon spawning habitat in the Hanford Reach. Specifically, our goal was to develop a management tool capable of quantifying the effects of current and alternative hydrographs on predicted spawning habitat in a spatially explicit manner. Toward this goal, we modeled the water velocities and depths that fall Chinook salmon experienced during the 2004 spawning season, plus what they would probably have experienced under several alternative (i.e., synthetic) hydrographs, using both one- and two-dimensional hydrodynamic models. To estimate spawning habitat under existing or alternative hydrographs, we used cell-based modeling and logistic regression to construct and compare numerous spatial habitat models. We found that fall Chinook salmon were more likely to spawn at locations where velocities were persistently greater than 1 m/s and in areas where fluctuating water velocities were reduced. Simulations of alternative dam operations indicate that the quantity of spawning habitat is expected to increase as streamflow fluctuations are reduced during the spawning season. The spatial habitat models that we developed provide management agencies with a quantitative tool for predicting, in a spatially explicit manner, the effects of different flow regimes on fall Chinook salmon spawning habitat in the Hanford Reach. In addition to characterizing temporally varying habitat conditions, our research describes an analytical approach that could be applied in other highly variable aquatic systems.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1577/M08-053.1","usgsCitation":"Hatten, J.R., Tiffan, K.F., Anglin, D.R., Haeseker, S.L., Skalicky, J., and Schaller, H., 2009, A spatial model to assess the effects of hydropower operations on Columbia River fall Chinook Salmon spawning habitat: North American Journal of Fisheries Management, v. 29, no. 5, p. 1379-1405, https://doi.org/10.1577/M08-053.1.","productDescription":"27 p. ","startPage":"1379","endPage":"1405","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2009-10-01","publicationStatus":"PW","scienceBaseUri":"5864dd55e4b0cd2dabe7c1e1","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anglin, Donald R.","contributorId":177725,"corporation":false,"usgs":false,"family":"Anglin","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":656811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeseker, Steven L.","contributorId":177726,"corporation":false,"usgs":false,"family":"Haeseker","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":193,"text":"Columbia River Fisheries Program","active":false,"usgs":true}],"preferred":false,"id":656812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skalicky, Joseph J.","contributorId":91386,"corporation":false,"usgs":true,"family":"Skalicky","given":"Joseph J.","affiliations":[],"preferred":false,"id":656813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaller, Howard","contributorId":177727,"corporation":false,"usgs":false,"family":"Schaller","given":"Howard","affiliations":[],"preferred":false,"id":656814,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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":70179507,"text":"70179507 - 2009 - The ecology of climate change and infectious diseases","interactions":[],"lastModifiedDate":"2017-01-04T10:07:04","indexId":"70179507","displayToPublicDate":"2009-04-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The ecology of climate change and infectious diseases","docAbstract":"<p><span>The projected global increase in the distribution and prevalence of infectious diseases with climate change suggests a pending societal crisis. The subject is increasingly attracting the attention of health professionals and climate-change scientists, particularly with respect to malaria and other vector-transmitted human diseases. The result has been the emergence of a crisis discipline, reminiscent of the early phases of conservation biology. Latitudinal, altitudinal, seasonal, and interannual associations between climate and disease along with historical and experimental evidence suggest that climate, along with many other factors, can affect infectious diseases in a nonlinear fashion. However, although the globe is significantly warmer than it was a century ago, there is little evidence that climate change has already favored infectious diseases. While initial projections suggested dramatic future increases in the geographic range of infectious diseases, recent models predict range shifts in disease distributions, with little net increase in area. Many factors can affect infectious disease, and some may overshadow the effects of climate.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/08-0079.1","usgsCitation":"Lafferty, K.D., 2009, The ecology of climate change and infectious diseases: Ecology, v. 90, no. 4, p. 888-900, https://doi.org/10.1890/08-0079.1.","productDescription":"13 p.","startPage":"888","endPage":"900","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586e1828e4b0f5ce109fcaf5","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657504,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209302,"text":"70209302 - 2009 - New quantitative evidence of extreme warmth in the Pliocene Arctic","interactions":[],"lastModifiedDate":"2020-04-01T07:44:39","indexId":"70209302","displayToPublicDate":"2009-03-27T13:16:21","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"New quantitative evidence of extreme warmth in the Pliocene Arctic","docAbstract":"<p><span>The most recent geologic interval characterized by warm temperatures similar to those projected for the end of this century occurred about 3.3 to 3.0 Ma, during the mid-Piacenzian Age of the Pliocene Epoch. Climate reconstructions of this warm period are integral to both understanding past warm climate equilibria and to predicting responses to today's transient climate. The Arctic Ocean is of particular interest because in this region climate proxies are rare, and climate models struggle to predict climate sensitivity and the response of sea ice. In order to provide the first quantitative climate data from this region during this interval, sea surface temperatures (SST) were estimated from Ocean Drilling Program Sites 907 and 909 in the Nordic Seas and from Site 911 in the Arctic Ocean based on Mg/Ca of Neogloboquadrina pachyderma (sin) and alkenone unsaturation indices. Evidence of much warmer than modern conditions in the Arctic Ocean during the mid-Piacenzian with temperatures as high as 18C is presented. In addition, SST anomalies (mid-Piacenzian minus modern) increase with latitude across the North Atlantic and into the Arctic, extending and confirming a reduced mid-Piacenzian pole-to-equator temperature gradient. The agreement between proxies and with previously documented qualitative assessments of intense warming in this region corroborate a poleward transport of heat and an at least seasonally ice-free Arctic, conditions that may serve as a possible analog to future climate if the current rate of Arctic sea-ice reduction continues.</span></p>","language":"English","publisher":"Micropress","usgsCitation":"Robinson, M.M., 2009, New quantitative evidence of extreme warmth in the Pliocene Arctic: Stratigraphy, v. 6, no. 4, p. 265-276.","productDescription":"11 p.","startPage":"265","endPage":"276","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":373665,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-262/article-1651"},{"id":373611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":785976,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97395,"text":"ofr20091037 - 2009 - Continuous Tidal Streamflow and Gage-Height Data for Bass and Cinder Creeks on Kiawah Island, South Carolina, September 2007","interactions":[],"lastModifiedDate":"2016-12-08T12:21:02","indexId":"ofr20091037","displayToPublicDate":"2009-03-27T00:00:00","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":"2009-1037","title":"Continuous Tidal Streamflow and Gage-Height Data for Bass and Cinder Creeks on Kiawah Island, South Carolina, September 2007","docAbstract":"A three-dimensional model of Bass and Cinder Creeks on Kiawah Island, South Carolina, was developed to evaluate methodologies for determining fecal coliform total maximum daily loads for shellfish waters. To calibrate the model, two index-velocity sites on the creeks were instrumented with continuous acoustic velocity meters and water-level sensors to compute a 21-day continuous record of tidal streamflows. In addition to monitoring tidal cycles, streamflow measurements were made at the index-velocity sites, and tidal-cycle streamflow measurements were made at the mouth of Bass Creek and on the Stono River to characterize the streamflow dynamics near the ocean boundary of the three-dimensional model at the beginning, September 6, 2007, and end, September 26, 2007, of the index-velocity meter deployment. The maximum floodtide and ebbtide measured on the Stono River by the mouth of Bass Creek for the two measurements were -155,000 and 170,000 cubic feet per second (ft3/s). At the mouth of Bass Creek, the maximum floodtide and ebbtide measurements during the 2 measurement days were +/-10,200 ft3/s. Tidal streamflows for the 21-day deployment on Bass Creek ranged from -2,510 ft3/s for an incoming tide to 4,360 ft3/s for an outgoing tide. On Cinder Creek, the incoming and outgoing tide varied from -2,180 to 2,400 ft3/s during the same period.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091037","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Conrads, P., and Erbland, J.W., 2009, Continuous Tidal Streamflow and Gage-Height Data for Bass and Cinder Creeks on Kiawah Island, South Carolina, September 2007: U.S. Geological Survey Open-File Report 2009-1037, iv, 13 p., https://doi.org/10.3133/ofr20091037.","productDescription":"iv, 13 p.","onlineOnly":"Y","temporalStart":"2007-09-06","temporalEnd":"2007-09-26","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12524,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1037/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","otherGeospatial":"Bass Creek, Cinder Creek, Kiawah Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.06666666666666,32.6 ], [ -80.06666666666666,32.5 ], [ -80,32.5 ], [ -80,32.6 ], [ -80.06666666666666,32.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aeee4b07f02db69122c","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erbland, John W. jerbland@usgs.gov","contributorId":3258,"corporation":false,"usgs":true,"family":"Erbland","given":"John","email":"jerbland@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":301956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179333,"text":"70179333 - 2009 - Application of the SHOALS survey system to fisheries investigations in the Columbia River","interactions":[],"lastModifiedDate":"2016-12-28T18:09:04","indexId":"70179333","displayToPublicDate":"2009-03-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Application of the SHOALS survey system to fisheries investigations in the Columbia River","docAbstract":"<p>We used a Scanning Hydrographic Operational Airborne LiDAR (Light Detection and Ranging) Survey (SHOALS) system to collect high-resolution bathymetry for 33 km of the Hanford Reach. Data were used in conjunction with hydrodynamic and predictive habitat models within a GIS (Geographical Information System) framework to evaluate the effects of a varying hydrograph on juvenile fall Chinook salmon rearing habitat and risk from stranding and entrapment. Furthermore, we were able to estimate the number of juvenile fish that were stranded and entrapped in pools when operations at Priest Rapids Dam caused rapid decreases in river flows. Our findings were ultimately used to estimate impacts of power generation operations at Priest Rapids Dam and develop long-term policy and operational guidelines to protect juvenile fall Chinook salmon during the spring rearing period.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing applications for aquatic resource monitoring","language":"English","publisher":"PNAMP","usgsCitation":"Tiffan, K.F., Wagner, P., Wolf, K.S., and Hoffarth , P., 2009, Application of the SHOALS survey system to fisheries investigations in the Columbia River, 8 p. .","productDescription":"8 p. ","startPage":"35","endPage":"42","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332612,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.pnamp.org/document/2546"},{"id":332613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd55e4b0cd2dabe7c1e5","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Paul G.","contributorId":177729,"corporation":false,"usgs":false,"family":"Wagner","given":"Paul G.","affiliations":[],"preferred":false,"id":656824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Keith S.","contributorId":177730,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":656825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffarth , Paul A.","contributorId":177731,"corporation":false,"usgs":false,"family":"Hoffarth ","given":"Paul A.","affiliations":[],"preferred":false,"id":656826,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97390,"text":"ofr20091034 - 2009 - Volcanogenic Massive Sulfide Deposits of the World - Database and Grade and Tonnage Models","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"ofr20091034","displayToPublicDate":"2009-03-20T00:00:00","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":"2009-1034","title":"Volcanogenic Massive Sulfide Deposits of the World - Database and Grade and Tonnage Models","docAbstract":"Grade and tonnage models are useful in quantitative mineral-resource assessments. The models and database presented in this report are an update of earlier publications about volcanogenic massive sulfide (VMS) deposits. These VMS deposits include what were formerly classified as kuroko, Cyprus, and Besshi deposits. The update was necessary because of new information about some deposits, changes in information in some deposits, such as grades, tonnages, or ages, revised locations of some deposits, and reclassification of subtypes. In this report we have added new VMS deposits and removed a few incorrectly classified deposits. This global compilation of VMS deposits contains 1,090 deposits; however, it was not our intent to include every known deposit in the world. The data was recently used for mineral-deposit density models (Mosier and others, 2007; Singer, 2008). In this paper, 867 deposits were used to construct revised grade and tonnage models. Our new models are based on a reclassification of deposits based on host lithologies: Felsic, Bimodal-Mafic, and Mafic volcanogenic massive sulfide deposits. \r\n\r\nMineral-deposit models are important in exploration planning and quantitative resource assessments for two reasons: (1) grades and tonnages among deposit types vary significantly, and (2) deposits of different types occur in distinct geologic settings that can be identified from geologic maps. Mineral-deposit models combine the diverse geoscience information on geology, mineral occurrences, geophysics, and geochemistry used in resource assessments and mineral exploration. Globally based deposit models allow recognition of important features and demonstrate how common different features are. Well-designed deposit models allow geologists to deduce possible mineral-deposit types in a given geologic environment and economists to determine the possible economic viability of these resources. Thus, mineral-deposit models play a central role in presenting geoscience information in a useful form to policy makers. The foundation of mineral-deposit models is information about known deposits. The purpose of this publication is to present the latest geologic information and newly developed grade and tonnage models for VMS deposits in digital form. \r\n\r\nThis publication contains computer files with information on VMS deposits from around the world. It also presents new grade and tonnage models for three subtypes of VMS deposits and a text file allowing locations of all deposits to be plotted in geographic information system (GIS) programs. The data are presented in FileMaker Pro and text files to make the information available to a wider audience. The value of this information and any derived analyses depends critically on the consistent manner of data gathering. For this reason, we first discuss the rules used in this compilation. Next, we provide new grade and tonnage models and analysis of the information in the file. Finally, the fields of the data file are explained. Appendix A gives the summary statistics for the new grade-tonnage models and Appendix B displays the country codes used in the database.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091034","usgsCitation":"Mosier, D.L., Berger, V.I., and Singer, D.A., 2009, Volcanogenic Massive Sulfide Deposits of the World - Database and Grade and Tonnage Models (Version 1.0): U.S. Geological Survey Open-File Report 2009-1034, Report: iv, 46 p.; Data; KML File, https://doi.org/10.3133/ofr20091034.","productDescription":"Report: iv, 46 p.; Data; KML File","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":660,"text":"Western Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":195808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12480,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1034/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180,-75 ], [ -180,90 ], [ 180,90 ], [ 180,-75 ], [ -180,-75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48e8e4b07f02db553a6b","contributors":{"authors":[{"text":"Mosier, Dan L.","contributorId":42593,"corporation":false,"usgs":true,"family":"Mosier","given":"Dan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":301944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berger, Vladimir I.","contributorId":15246,"corporation":false,"usgs":true,"family":"Berger","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":301943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singer, Donald A. dsinger@usgs.gov","contributorId":5601,"corporation":false,"usgs":true,"family":"Singer","given":"Donald","email":"dsinger@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":301942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97392,"text":"sir20095040 - 2009 - Validation of a Ground-Water Flow Model of the Mississippi River Valley Alluvial Aquifer Using Water-Level and Water-Use Data for 1998-2005 and Evaluation of Water-Use Scenarios","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"sir20095040","displayToPublicDate":"2009-03-20T00:00:00","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":"2009-5040","title":"Validation of a Ground-Water Flow Model of the Mississippi River Valley Alluvial Aquifer Using Water-Level and Water-Use Data for 1998-2005 and Evaluation of Water-Use Scenarios","docAbstract":"A ground-water flow model of the Mississippi River Valley alluvial aquifer in eastern Arkansas, developed in 2003 to simulate the period of 1918-98, was validated with the addition of water-level and water-use data that extended the observation period to 2005. The original model (2003) was calibrated using water-level observations from 1972, 1982, 1992, and 1998, and water-use data through 1997. The original model subsequently was used to simulate water levels from 1999 to 2049 and showed that simulation of continued pumping at the 1997 water-use rate could not be sustained indefinitely without causing dry cells in the model.\r\n\r\nAfter publication of the original ground-water flow model, a total of 3,616 water-level observations from 698 locations measured during the period of 1998 to 2005 became available. Additionally, water-use data were compiled and used for the same period, totaling 290,005 discrete water-use values from 43,440 wells with as many as 39,169 wells pumping in any one year. Total pumping (which is primarily agricultural) for this 8-year period was about 2.3 trillion cubic feet of water and was distributed over approximately 10,340 square miles within the model area.\r\n\r\nAn updated version of the original ground-water flow model was used to simulate the period of 1998-2005 with the additional water-level and water-use data. Water-level observations for 1998-2005 ranged from 74 to 293 feet above National Geodetic Vertical Datum of 1929 across the model area. The maximum water-level residual (observed minus simulated water-level values) for the 3,616 water-level observations was 52 feet, the minimum water-level residual was 60 feet, the average annual root mean squared error was 8.2 feet, and the annual average absolute residual was 6.0 feet. A correlation coefficient value of 0.96 was calculated for the line of best fit for observed to simulated water levels for the combined 1998-2005 dataset, indicating a good fit to the data and an acceptable validation of the model.\r\n\r\nAfter the validation process was completed, additional ground-water model simulations were run to evaluate the response of the aquifer with the 2005 water-use rate applied through 2049 (scenario 1) and the 2005 water-use rate increased 2 percent annually until 2049 (scenario 2). Scenario 1 resulted in 779 dry cells (779 square miles) by 2049 and scenario 2 resulted in 2,910 dry cells (2,910 square miles) by 2049. In both scenarios, the dry cells are concentrated in the Grand Prairie area and Cache River area west of Crowleys Ridge. However, scenario 2 resulted in dry cells to the east of Crowleys Ridge as well. A simulation applying the 1997 water-use rate contained in the original ground-water flow model resulted in 401 dry cells (401 square miles) in the Grand Prairie and Cache River areas.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095040","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Gillip, J.A., and Czarnecki, J.B., 2009, Validation of a Ground-Water Flow Model of the Mississippi River Valley Alluvial Aquifer Using Water-Level and Water-Use Data for 1998-2005 and Evaluation of Water-Use Scenarios: U.S. Geological Survey Scientific Investigations Report 2009-5040, iv, 23 p., https://doi.org/10.3133/sir20095040.","productDescription":"iv, 23 p.","onlineOnly":"Y","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":125658,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5040.jpg"},{"id":12508,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5040/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.5,33.5 ], [ -92.5,37 ], [ -89.5,37 ], [ -89.5,33.5 ], [ -92.5,33.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49cae4b07f02db5d7d89","contributors":{"authors":[{"text":"Gillip, Jonathan A. jgillip@usgs.gov","contributorId":3222,"corporation":false,"usgs":true,"family":"Gillip","given":"Jonathan","email":"jgillip@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":301948,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97391,"text":"sir20095043 - 2009 - Magnitude and frequency of rural floods in the southeastern United States, 2006: Volume 1, Georgia","interactions":[],"lastModifiedDate":"2023-05-03T13:29:51.106934","indexId":"sir20095043","displayToPublicDate":"2009-03-20T00:00:00","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":"2009-5043","title":"Magnitude and frequency of rural floods in the southeastern United States, 2006: Volume 1, Georgia","docAbstract":"A multistate approach was used to update methods for estimating the magnitude and frequency of floods in rural, ungaged basins in Georgia, South Carolina, and North Carolina that are not substantially affected by regulation, tidal fluctuations, or urban development. Annual peak-flow data through September 2006 were analyzed for 943 streamgaging stations having 10 or more years of data on rural streams in Georgia, South Carolina, North Carolina, and adjacent parts of Alabama, Florida, Tennessee, and Virginia. Flood-frequency estimates were computed for the 943 stations by fitting the logarithms of annual peak flows for each station to a Pearson Type III distribution. As part of the computation of flood-frequency estimates for these streamgaging stations, a new value for the generalized-skew coefficient was developed by using a Bayesian generalized least-squares regression model. Additionally, basin characteristics for the streamgaging stations were computed by using a geographical information system and automated computer algorithms.\r\n\r\nRegional regression analysis, using generalized least-squares regression, was used to develop a set of predictive equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance flows for rural ungaged basins in Georgia, South Carolina, and North Carolina. Flood-frequency estimates and basin characteristics for 828 stream-gaging stations were combined to form the final database used in the regional regression analysis. Five hydrologic regions were developed for Georgia, South Carolina, and North Carolina. The final predictive equations are all functions of drainage area and percentage of the drainage basin within each hydrologic region. Average standard errors of prediction for these regression equations range from 34.5 to 47.7 percent.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095043","collaboration":"Prepared in cooperation with the Georgia Department of Transportation, Preconstruction Division, Office of Bridge Design","usgsCitation":"Gotvald, A.J., Feaster, T., and Weaver, J., 2009, Magnitude and frequency of rural floods in the southeastern United States, 2006: Volume 1, Georgia: U.S. Geological Survey Scientific Investigations Report 2009-5043, Report: vi, 120 p.; Downloadable Files, https://doi.org/10.3133/sir20095043.","productDescription":"Report: vi, 120 p.; Downloadable Files","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195403,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":416628,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20235006","text":"Scientific Investigations Report 2023–5006","linkHelpText":"- <strong><em>The methods and statistics from SIR 2009–5043 have been updated in SIR 2023–5006.</em></strong>"},{"id":12481,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5043/","linkFileType":{"id":5,"text":"html"}},{"id":415873,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96491.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United 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,{"id":97376,"text":"sir20095011 - 2009 - Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004","interactions":[],"lastModifiedDate":"2019-08-30T07:00:35","indexId":"sir20095011","displayToPublicDate":"2009-03-17T00:00:00","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":"2009-5011","title":"Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004","docAbstract":"The Nebraska Department of Natural Resources approved instream-flow appropriations on the Platte River to maintain fish communities, whooping crane roost habitat, and wet meadows used by several wild bird species. In the lower Platte River region, the Nebraska Game and Parks Commission owns an appropriation filed to maintain streamflow for fish communities between the Platte River confluence with the Elkhorn River and the mouth of the Platte River. Because Elkhorn River flow is an integral part of the flow in the reach addressed by this appropriation, the Upper Elkhorn and Lower Elkhorn Natural Resources Districts are involved in overall management of anthropogenic effects on the availability of surface water for instream requirements.\r\n\r\nThe Physical Habitat Simulation System (PHABSIM) and other estimation methodologies were used previously to determine instream requirements for Platte River biota, which led to the filing of five water appropriations applications with the Nebraska Department of Natural Resources in 1993 by the Nebraska Game and Parks Commission. One of these requested instream-flow appropriations of 3,700 cubic feet per second was for the reach from the Elkhorn River to the mouth of the Platte River. Four appropriations were granted with modifications in 1998, by the Nebraska Department of Natural Resources.\r\n\r\nDaily streamflow data for the periods of record were summarized for 17 streamflow-gaging stations in Nebraska to evaluate streamflow characteristics, including low-flow intervals for consecutive durations of 1, 3, 7, 14, 30, 60, and 183 days. Temporal trends in selected streamflow statistics were not adjusted for variability in precipitation. Results indicated significant positive temporal trends in annual flow for the period of record at eight streamflow-gaging stations - Platte River near Duncan (06774000), Platte River at North Bend (06796000), Elkhorn River at Neligh (06798500), Logan Creek near Uehling (06799500), Maple Creek near Nickerson (06800000), Elkhorn River at Waterloo (06800500), Salt Creek at Greenwood (06803555), and Platte River at Louisville (06805500). In general, sites in the Elkhorn River Basin upstream from Norfolk showed fewer significant trends than did sites downstream from Norfolk and sites in the Platte River and Salt Creek basins, where trends in low flows also were positive.\r\n\r\nHistorical Platte River streamflow records for the streamflow-gaging station at Louisville, Nebraska, were used to determine the number of days per water year (Sept. 30 to Oct. 1) when flows failed to satisfy the minimum criteria of the instream-flow appropriation prior to its filing in 1993. Before 1993, the median number of days the criteria were not satisfied was about 120 days per water year. During 1993 through 2004, daily mean flows at Louisville, Nebraska, have failed to satisfy the criteria for 638 days total (median value equals 21.5 days per year). Most of these low-flow intervals occurred in summer through early fall. For water years 1953 through 2004, of the discrete intervals when flow was less that the criteria levels, 61 percent were 3 days or greater in duration, and 38 percent were 7 days or greater in duration. The median duration of intervals of flow less than the criteria levels was 4 consecutive days during 1953 through 2004.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095011","collaboration":"Prepared in cooperation with the Upper Elkhorn Natural Resources District and the Lower Elkhorn Natural Resources District","usgsCitation":"Dietsch, B.J., Godberson, J.A., and Steele, G.V., 2009, Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004: U.S. Geological Survey Scientific Investigations Report 2009-5011, iv, 94 p., https://doi.org/10.3133/sir20095011.","productDescription":"iv, 94 p.","temporalStart":"1928-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":126722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5011.jpg"},{"id":12562,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5011/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,40.75 ], [ -100,43 ], [ -95.5,43 ], [ -95.5,40.75 ], [ -100,40.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f127d","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godberson, Julie A.","contributorId":27574,"corporation":false,"usgs":true,"family":"Godberson","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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