{"pageNumber":"726","pageRowStart":"18125","pageSize":"25","recordCount":46677,"records":[{"id":98400,"text":"ds503 - 2010 - Oblique Aerial Photography of the Arctic Coast of Alaska, Cape Sabine to Milne Point, July 16-19, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"ds503","displayToPublicDate":"2010-05-18T00:00:00","publicationYear":"2010","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":"503","title":"Oblique Aerial Photography of the Arctic Coast of Alaska, Cape Sabine to Milne Point, July 16-19, 2009","docAbstract":"The Arctic Coastal Plain of northern Alaska, an area of strategic economic importance to the United States, is home to remote Native American communities and encompasses unique habitats of global significance. Coastal erosion along the Arctic coast is chronic and widespread; recent evidence suggests that erosion rates are among the highest in the world (as high as ~16 m/yr) and may be accelerating. Coastal erosion adversely impacts energy-related infrastructure, natural shoreline habitats, and Native American communities. Climate change is thought to be a key component of recent environmental changes in the Arctic. Reduced sea-ice cover in the Arctic Ocean is one of the probable mechanisms responsible for increasing coastal exposure to wave attack and the resulting increase in erosion. Extended periods of permafrost melting and associated decreases in bluff cohesion and stability are another possible source of the increase in erosion. \r\n\r\nSeveral studies of selected areas on the Alaska coast document past shoreline positions and coastal change, but none have examined the entire North coast systematically. Results from these studies indicate high rates of coastal retreat that vary spatially along the coast. To address the need for a comprehensive and regionally consistent evaluation of shoreline change along the North coast of Alaska, the U.S. Geological Survey (USGS), as part of their Coastal and Marine Geology Program's (CMGP) National Assessment of Shoreline Change Study, is evaluating shoreline change from Peard Bay to the United States/Canadian border, using historical maps and photography and a standardized methodology that is consistent with other shoreline-change studies along the Nation's coastlines (see, for example, http://coastal.er.usgs.gov/shoreline-change/, last accessed February 12, 2010). \r\n\r\nThis is the second in a series of publications containing photographs collected during reconnaissance surveys conducted in support of the National Assessment of Shoreline Change Study. An accompanying ESRI ArcGIS shape file (and plaintext copy) indicates the position of the aircraft and time when each photograph was taken. The USGS-CMGP Field Activity ID for the survey is A-5-09-AK, and more information on the survey and how to view the photographs using Google Earth software is available online at http://walrus.wr.usgs.gov/infobank/a/a509ak/html/a-5-09-ak.photos.kmz (last accessed February 12, 2010). The initial report ?Oblique aerial photography of the Arctic coast of Alaska, Nulavik to Demarcation Point, August 7-10, 2006? is available online at http://pubs.usgs.gov/ds/436/, and the associated Google Earth .kmz file is available at http://walrus.wr.usgs.gov/infobank/a/a106ak/html/a-1-06-ak.photos.kmz (last accessed February 12, 2010). \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds503","usgsCitation":"Gibbs, A.E., and Richmond, B.M., 2010, Oblique Aerial Photography of the Arctic Coast of Alaska, Cape Sabine to Milne Point, July 16-19, 2009: U.S. Geological Survey Data Series 503, iv, 4 p., https://doi.org/10.3133/ds503.","productDescription":"iv, 4 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":125550,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_503.jpg"},{"id":13651,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/503/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -170,66 ], [ -170,72 ], [ -141,72 ], [ -141,66 ], [ -170,66 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db604503","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98401,"text":"ofr20101030 - 2010 - Geophysical surveys of the San Andreas and Crystal Springs Reservoir system, including seismic-reflection profiles and swath bathymetry, San Mateo County, California","interactions":[],"lastModifiedDate":"2022-06-29T18:48:08.28907","indexId":"ofr20101030","displayToPublicDate":"2010-05-18T00:00:00","publicationYear":"2010","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":"2010-1030","title":"Geophysical surveys of the San Andreas and Crystal Springs Reservoir system, including seismic-reflection profiles and swath bathymetry, San Mateo County, California","docAbstract":"

This report describes geophysical data acquired by the U.S. Geological Survey (USGS) in San Andreas Reservoir and Upper and Lower Crystal Springs Reservoirs, San Mateo County, California, as part of an effort to refine knowledge of the location of traces of the San Andreas Fault within the reservoir system and to provide improved reservoir bathymetry for estimates of reservoir water volume. The surveys were conducted by the Western Coastal and Marine Geology (WCMG) Team of the USGS for the San Francisco Public Utilities Commission (SFPUC). The data were acquired in three separate surveys: (1) in June 2007, personnel from WCMG completed a three-day survey of San Andreas Reservoir, collecting approximately 50 km of high-resolution Chirp subbottom seismic-reflection data; (2) in November 2007, WCMG conducted a swath-bathymetry survey of San Andreas reservoir; and finally (3) in April 2008, WCMG conducted a swath-bathymetry survey of both the upper and lower Crystal Springs Reservoir system. 

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101030","usgsCitation":"Finlayson, D.P., Triezenberg, P., and Hart, P.E., 2010, Geophysical surveys of the San Andreas and Crystal Springs Reservoir system, including seismic-reflection profiles and swath bathymetry, San Mateo County, California: U.S. Geological Survey Open-File Report 2010-1030, HTML Document, https://doi.org/10.3133/ofr20101030.","productDescription":"HTML Document","costCenters":[{"id":646,"text":"Western Coastal and Marine Geology Team of the USGS for the San Francisco Public Utilities Commission","active":false,"usgs":true}],"links":[{"id":197733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402706,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93240.htm","linkFileType":{"id":5,"text":"html"}},{"id":13652,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1030/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"San Mateo County","otherGeospatial":"San Andreas and Crystal Springs Reservoir system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.41790771484375,\n 37.32976463711538\n ],\n [\n -122.16110229492186,\n 37.32976463711538\n ],\n [\n -122.16110229492186,\n 37.60335225883687\n ],\n [\n -122.41790771484375,\n 37.60335225883687\n ],\n [\n -122.41790771484375,\n 37.32976463711538\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e9b5","contributors":{"authors":[{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":305209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305208,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98389,"text":"ofr20101058 - 2010 - Preliminary Investigation of Paleochannels and Groundwater Specific Conductance using Direct-Current Resistivity and Surface-Wave Seismic Geophysical Surveys at the Standard Chlorine of Delaware, Inc., Superfund Site, Delaware City, Delaware, 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"ofr20101058","displayToPublicDate":"2010-05-15T00:00:00","publicationYear":"2010","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":"2010-1058","title":"Preliminary Investigation of Paleochannels and Groundwater Specific Conductance using Direct-Current Resistivity and Surface-Wave Seismic Geophysical Surveys at the Standard Chlorine of Delaware, Inc., Superfund Site, Delaware City, Delaware, 2008","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with Region III of the U.S. Environmental Protection Agency (USEPA) and the State of Delaware, is conducting an ongoing study of the water-quality and hydrogeologic properties of the Columbia and Potomac aquifers and the extent of cross-aquifer contamination with benzene; chlorobenzene; 1,2-dichlorobenzene; 1,4-dichlorobenzene; and hydrogen chloride (hydrochloric acid when dissolved in water) in the vicinity of the Standard Chlorine of Delaware, Inc. (SCD), Superfund Site, Delaware City, Delaware. Surface geophysical surveys and well data were used to identify and correlate low-permeability units (clays) across the site and to search for sand and gravel filled paleochannels that are potential conduits and receptors of contaminated groundwater and (or) Dense Non-Aqueous Phase Liquid (DNAPL) contaminants. The combined surveys and well data were also used to characterize areas of the site that have groundwater with elevated (greater than 1,000 microsiemens per centimeter) specific conductance (SC) as a result of contamination.\r\n\r\nThe most electrically conductive features measured with direct-current (DC) resistivity at the SCD site are relatively impermeable clays and permeable sediment that are associated with elevated SC in groundwater. Many of the resistive features include paleochannel deposits consisting of coarse-grained sediments that are unsaturated, have low (less than 200 microsiemens per centimeter) SC pore water, or are cemented. Groundwater in uncontaminated parts of the Columbia aquifer and of the Potomac aquifer has a low SC. Specific-conductance data from monitoring wells at the site were used to corroborate the DC-resistivity survey results. For comparison with DC-resistivity surveys, multi-channel analysis of surface wave (MASW) surveys were used and were able to penetrate deep enough to measure the Columbia aquifer, which is known to have elevated SC in some places. MASW survey results respond to solid material stiffness; clays and cemented sediments will have a higher velocity than silts, sands, and gravels (in order of increasing hydraulic conductivity).\r\n\r\nGeophysical surveys detected elevated SC associated with contamination of the surficial Columbia aquifer. Groundwater with elevated SC over ambient (by an order of magnitude) produced a decrease in measured resistivity at the SCD site. Where SC data are not available from wells, it is not known if a low resistivity value measured with DC resistivity alone results from the geologic material (clay) or elevated SC in groundwater (in sand or gravel). Seismic surface waves used as part of the MASW technique are not affected by water content or quality and are used herein to distinguish between sand and clay when SC is high. Through concurrent interpretation of MASW and DC-resistivity surveys, information was gained about water quality and lithology over large areas at the SCD site.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101058","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., and Brayton, M.J., 2010, Preliminary Investigation of Paleochannels and Groundwater Specific Conductance using Direct-Current Resistivity and Surface-Wave Seismic Geophysical Surveys at the Standard Chlorine of Delaware, Inc., Superfund Site, Delaware City, Delaware, 2008: U.S. Geological Survey Open-File Report 2010-1058, viii, 27 p. , https://doi.org/10.3133/ofr20101058.","productDescription":"viii, 27 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":118458,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1058.jpg"},{"id":13640,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1058/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,38.333333333333336 ], [ -76,40 ], [ -74.33333333333333,40 ], [ -74.33333333333333,38.333333333333336 ], [ -76,38.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e4ef","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brayton, Michael J. mbrayton@usgs.gov","contributorId":2993,"corporation":false,"usgs":true,"family":"Brayton","given":"Michael","email":"mbrayton@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305161,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98392,"text":"ds477 - 2010 - Cartographic Production for the FLaSH Map Study: Generation of Rugosity Grids, 2008","interactions":[],"lastModifiedDate":"2012-02-02T00:15:04","indexId":"ds477","displayToPublicDate":"2010-05-15T00:00:00","publicationYear":"2010","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":"477","title":"Cartographic Production for the FLaSH Map Study: Generation of Rugosity Grids, 2008","docAbstract":"Project Summary\r\nThis series of raster data is a U.S. Geological Survey (USGS) Data Series release from the Florida Shelf Habitat Project (FLaSH). This disc contains two raster images in Environmental Systems Research Institute, Inc. (ESRI) raster grid format, jpeg image format, and Geo-referenced Tagged Image File Format (GeoTIFF). Data is also provided in non-image ASCII format. Rugosity grids at two resolutions (250 m and 1000 m) were generated for West Florida shelf waters to 250 m using a custom algorithm that follows the methods of Valentine and others (2004). The Methods portion of this document describes the specific steps used to generate the raster images.\r\n\r\nRugosity, also referred to as roughness, ruggedness, or the surface-area ratio (Riley and others, 1999; Wilson and others, 2007), is a visual and quantitative measurement of terrain complexity, a common variable in ecological habitat studies. The rugosity of an area can affect biota by influencing habitat, providing shelter from elements, determining the quantity and type of living space, influencing the type and quantity of flora, affecting predator-prey relationships by providing cover and concealment, and, as an expression of vertical relief, can influence local environmental conditions such as temperature and moisture. In the marine environment rugosity can furthermore influence current flow rate and direction, increase the residence time of water in an area through eddying and current deflection, influence local water conditions such as chemistry, turbidity, and temperature, and influence the rate and nature of sedimentary deposition.\r\n\r\nState-of-the-art computer-mapping techniques and data-processing tools were used to develop shelf-wide raster and vector data layers. Florida Shelf Habitat (FLaSH) Mapping Project (http://coastal.er.usgs.gov/flash) endeavors to locate available data, identify data gaps, synthesize existing information, and expand our understanding of geologic processes in our dynamic coastal and marine systems.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds477","usgsCitation":"Robbins, L.L., Knorr, P.O., and Hansen, M., 2010, Cartographic Production for the FLaSH Map Study: Generation of Rugosity Grids, 2008: U.S. Geological Survey Data Series 477, , https://doi.org/10.3133/ds477.","productDescription":" ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118457,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_477.jpg"},{"id":13643,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/477/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5efe75","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Mark","contributorId":81893,"corporation":false,"usgs":true,"family":"Hansen","given":"Mark","affiliations":[],"preferred":false,"id":305171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98393,"text":"ds500 - 2010 - Geophysical Logs of Selected Wells at the Diaz Chemical Superfund Site in the Village of Holley, New York, 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"ds500","displayToPublicDate":"2010-05-15T00:00:00","publicationYear":"2010","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":"500","title":"Geophysical Logs of Selected Wells at the Diaz Chemical Superfund Site in the Village of Holley, New York, 2009","docAbstract":"Geophysical logs were collected and analyzed to define the bedrock fracture patterns and flow zones penetrated by three wells at the Diaz Chemical Superfund Site in the Village of Holley in Orleans County, New York. The work was conducted in December 2009 as part of the investigation of contamination by organic compounds in the shale, mudstone, and sandstone bedrock at the Site. The geophysical logs include natural-gamma, caliper, borehole image, fluid properties, and flowmeter data. The orientation of fractures in the boreholes was inferred from the log data and summarized in stereo and tadpole plots; when possible, the transmissivity and hydraulic head was also determined for fracture zones that were observed to be hydraulically active through the flowmeter logs. The data are intended, in part, for use in the remediation of the site.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds500","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Eckhardt, D., and Anderson, J., 2010, Geophysical Logs of Selected Wells at the Diaz Chemical Superfund Site in the Village of Holley, New York, 2009: U.S. Geological Survey Data Series 500, iii, 15 p. , https://doi.org/10.3133/ds500.","productDescription":"iii, 15 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-12-01","temporalEnd":"2009-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":118671,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_500.jpg"},{"id":13644,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/500/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.03416666666666,43.21666666666667 ], [ -78.03416666666666,43.217777777777776 ], [ -78.01666666666667,43.217777777777776 ], [ -78.01666666666667,43.21666666666667 ], [ -78.03416666666666,43.21666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1de4b07f02db6a9dfa","contributors":{"authors":[{"text":"Eckhardt, David A.V.","contributorId":80233,"corporation":false,"usgs":true,"family":"Eckhardt","given":"David A.V.","affiliations":[],"preferred":false,"id":305173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton","contributorId":56724,"corporation":false,"usgs":true,"family":"Anderson","given":"J. Alton","affiliations":[],"preferred":false,"id":305172,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98390,"text":"ofr20101073 - 2010 - Water-Quality Data from Upper Klamath and Agency Lakes, Oregon, 2007-08","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"ofr20101073","displayToPublicDate":"2010-05-15T00:00:00","publicationYear":"2010","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":"2010-1073","title":"Water-Quality Data from Upper Klamath and Agency Lakes, Oregon, 2007-08","docAbstract":"Significant Findings\r\n\r\nThe U.S. Geological Survey Upper Klamath Lake water-quality monitoring program collected data from multiparameter continuous water-quality monitors, weekly water-quality samples, and meteorological stations during May-November 2007 and 2008. The results of these measurements and sample analyses are presented in this report for 29 stations on Upper Klamath Lake and 2 stations on Agency Lake, as well as quality-assurance data for the water-quality samples. Some of the significant findings from 2007 and 2008 are listed below.\r\n\r\nIn 2007-08, ammonia concentrations were at or near the detection limit at all stations during the second week in June, after which they began to increase, with peak concentrations occurring from July through November. \r\nThe concentration of un-ionized ammonia, which can be toxic to aquatic life, first began to increase in mid-June and peaked in July or August at most sites. Concentrations of un-ionized ammonia measured in the Upper Klamath Lake in 2007-08 did not reach concentrations that would have been potentially lethal to suckers. \r\nSamples collected for the analysis of dissolved organic carbon (DOC) late in the 2007 season showed no evidence of an increase in DOC subsequent to the breaching of the Williamson River Delta levees on October 30. \r\nIn 2007-08, the lakewide daily median of dissolved oxygen concentration began to increase in early June, and peaked in mid- to late June. \r\nThe lakewide daily median pH began to increase from early June and peaked in late June (2007) or early July (2008). Lakewide daily median pH slowly decreased during the rest of both seasons. \r\nThe 2007 lakewide daily median specific conductance values first peaked on July 1, coincident with a peak in dissolved oxygen concentration and pH, followed by a decrease through mid-July. Specific conductance then remained relatively stable until mid-October when a sharp increase began that continued until the end of the season. Lakewide specific conductance values for 2008 steadily increased through the season to a maximum in late September. \r\nLakewide daily median temperatures in both years began to increase during the beginning of June and peaked in July. These temperatures persisted until late August to early September when a gradual decrease occurred. \r\nIn 2007-08, water-quality conditions monitored at the Agency Lake northern and southern stations were similar to those in Klamath Lake. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101073","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Kannarr, K.E., Tanner, D.Q., Lindenberg, M.K., and Wood, T.M., 2010, Water-Quality Data from Upper Klamath and Agency Lakes, Oregon, 2007-08: U.S. Geological Survey Open-File Report 2010-1073, Report: vi, 28 p.; Appendices , https://doi.org/10.3133/ofr20101073.","productDescription":"Report: vi, 28 p.; Appendices ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":118670,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1073.jpg"},{"id":13641,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1073/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,42.21666666666667 ], [ -121.75,42.6 ], [ -122.16666666666667,42.6 ], [ -122.16666666666667,42.21666666666667 ], [ -121.75,42.21666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f4a5f","contributors":{"authors":[{"text":"Kannarr, Kristofor E.","contributorId":76037,"corporation":false,"usgs":true,"family":"Kannarr","given":"Kristofor","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":305164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanner, Dwight Q.","contributorId":93452,"corporation":false,"usgs":true,"family":"Tanner","given":"Dwight","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":305165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindenberg, Mary K.","contributorId":40290,"corporation":false,"usgs":true,"family":"Lindenberg","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":305163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305162,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98388,"text":"sir20105076 - 2010 - Polychlorinated Biphenyls in suspended-sediment samples from outfalls to Meandering Road Creek at Air Force Plant 4, Fort Worth, Texas, 2003-08","interactions":[],"lastModifiedDate":"2016-08-11T16:32:48","indexId":"sir20105076","displayToPublicDate":"2010-05-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5076","title":"Polychlorinated Biphenyls in suspended-sediment samples from outfalls to Meandering Road Creek at Air Force Plant 4, Fort Worth, Texas, 2003-08","docAbstract":"

Meandering Road Creek is an intermittent stream and tributary to Lake Worth, a reservoir on the West Fork Trinity River on the western edge of Fort Worth, Texas. U.S. Air Force Plant 4 (AFP4) is on the eastern shore of Woods Inlet, an arm of Lake Worth. Meandering Road Creek gains inflow from several stormwater outfalls as it flows across AFP4. Several studies have characterized polychlorinated biphenyls (PCBs) in the water and sediments of Lake Worth and Meandering Road Creek; sources of PCBs are believed to originate primarily from AFP4. Two previous U.S. Geological Survey (USGS) reports documented elevated PCB concentrations in surficial sediment samples from Woods Inlet relative to concentrations in surficial sediment samples from other parts of Lake Worth. The second of these two previous reports also identified some of the sources of PCBs to Lake Worth. These reports were followed by a third USGS report that documented the extent of PCB contamination in Meandering Road Creek and Woods Inlet and identified runoff from outfalls 4 and 5 at AFP4 as prominent sources of these PCBs. This report describes the results of a fourth study by the USGS, in cooperation with the Lockheed Martin Corporation, to investigate PCBs in suspended-sediment samples in storm runoff from outfalls 4 and 5 at AFP4 following the implementation of engineering controls designed to potentially alleviate PCB contamination in the drainage areas of these outfalls. Suspended-sediment samples collected from outfalls 4 and 5 during storms on March 2 and November 10, 2008, were analyzed for selected PCBs. Sums of concentrations of 18 reported PCB congeners (Sigma PCBc) in suspended-sediment samples collected before and after implementation of engineering controls are compared. At both outfalls, the Sigma PCBc before engineering controls was higher than the Sigma PCBc after engineering controls. The Sigma PCBc in suspended-sediment samples collected at AFP4 before and after implementation of engineering controls also is compared to the threshold effect concentration (TEC), the concentration below which adverse effects to benthic biota rarely occur. Sigma PCBc exceeded the TEC for 75 percent of the samples collected at outfall 4 and 67 percent of the samples collected at outfall 5 before the implementation of engineering controls. Sigma PCBc did not exceed the TEC in samples collected at either outfall 4 or outfall 5 after the implementation of engineering controls. The relative prominence of 10 selected PCB congeners was evaluated by graphical analysis of ratios of individual concentrations of the 10 PCB congeners to the sum of these PCB congeners. An overall decrease in concentrations of PCB congeners at outfalls 4 and 5 after implementation of engineering controls, as well as a shift in prominence from lighter, less chlorinated congeners to a heavier, more chlorinated congener might have resulted from the implementation of engineering controls. Because of the small number of samples collected and lack of runoff and precipitation data to evaluate comparability of sampling conditions before and after implementation of engineering controls, all conclusions are preliminary.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105076","collaboration":"In cooperation with the Lockheed Martin Corporation","usgsCitation":"Braun, C.L., and Wilson, J.T., 2010, Polychlorinated Biphenyls in suspended-sediment samples from outfalls to Meandering Road Creek at Air Force Plant 4, Fort Worth, Texas, 2003-08: U.S. Geological Survey Scientific Investigations Report 2010-5076, vi, 20 p. , https://doi.org/10.3133/sir20105076.","productDescription":"vi, 20 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-03-02","temporalEnd":"2010-11-10","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5076.jpg"},{"id":13639,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5076/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.45083333333334,32.75 ], [ -97.45083333333334,32.78388888888889 ], [ -97.40138888888889,32.78388888888889 ], [ -97.40138888888889,32.75 ], [ -97.45083333333334,32.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683992","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305159,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98383,"text":"ofr20101080 - 2010 - Chemistry of selected core samples, concentrate, tailings, and tailings pond waters: Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri","interactions":[],"lastModifiedDate":"2022-06-10T19:06:01.12288","indexId":"ofr20101080","displayToPublicDate":"2010-05-15T00:00:00","publicationYear":"2010","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":"2010-1080","title":"Chemistry of selected core samples, concentrate, tailings, and tailings pond waters: Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri","docAbstract":"The Minerals at Risk and for Emerging Technologies Project of the U.S. Geological Survey (USGS) Mineral Resources Program is examining potential sources of lanthanide elements (rare earth elements) as part of its objective to provide up-to-date geologic information regarding mineral commodities likely to have increased demand in the near term. As part of the examination effort, a short visit was made to the Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri in October 2008. The deposit, currently owned by Wings Enterprises, Inc. of St. Louis, Missouri (Wings), contains concentrations of lanthanides that may be economic as a primary product or as a byproduct of iron ore production. This report tabulates the results of chemical analyses of the Pea Ridge samples and compares rare earth elements contents for world class lanthanide deposits with those of the Pea Ridge deposit. The data presented for the Pea Ridge deposit are preliminary and include some company data that have not been verified by the USGS or by the Missouri Department of Natural Resources, Division of Geology and Land Survey (DGLS), Geological Survey Program (MGS). The inclusion of company data is for comparative purposes only and does not imply an endorsement by either the USGS or MGS.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101080","usgsCitation":"Grauch, R.I., Verplanck, P.L., Seeger, C.M., Budahn, J.R., and Van Gosen, B.S., 2010, Chemistry of selected core samples, concentrate, tailings, and tailings pond waters: Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri: U.S. Geological Survey Open-File Report 2010-1080, Report: iii, 15 p.; Downloads Directory, https://doi.org/10.3133/ofr20101080.","productDescription":"Report: iii, 15 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-10-01","temporalEnd":"2008-10-31","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":118666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1080.jpg"},{"id":402064,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93118.htm"},{"id":13634,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1080/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","county":"Washington County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.0489,\n 38.1261\n ],\n [\n -91.0475,\n 38.1261\n ],\n [\n -91.0475,\n 38.1283\n ],\n [\n -91.0489,\n 38.1283\n ],\n [\n -91.0489,\n 38.1261\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dee4b07f02db5e280c","contributors":{"authors":[{"text":"Grauch, Richard I. 0000-0002-1763-0813 rgrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-1763-0813","contributorId":1193,"corporation":false,"usgs":true,"family":"Grauch","given":"Richard","email":"rgrauch@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":305145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seeger, Cheryl M.","contributorId":63848,"corporation":false,"usgs":true,"family":"Seeger","given":"Cheryl","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98391,"text":"ofr20091028 - 2010 - A Review of Land-Cover Mapping Activities in Coastal Alabama and Mississippi","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20091028","displayToPublicDate":"2010-05-15T00:00:00","publicationYear":"2010","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":"2009-1028","title":"A Review of Land-Cover Mapping Activities in Coastal Alabama and Mississippi","docAbstract":"INTRODUCTION\r\nLand-use and land-cover (LULC) data provide important information for environmental management. Data pertaining to land-cover and land-management activities are a common requirement for spatial analyses, such as watershed modeling, climate change, and hazard assessment. In coastal areas, land development, storms, and shoreline modification amplify the need for frequent and detailed land-cover datasets. The northern Gulf of Mexico coastal area is no exception. The impact of severe storms, increases in urban area, dramatic changes in land cover, and loss of coastal-wetland habitat all indicate a vital need for reliable and comparable land-cover data. \r\n\r\nFour main attributes define a land-cover dataset: the date/time of data collection, the spatial resolution, the type of classification, and the source data. The source data are the foundation dataset used to generate LULC classification and are typically remotely sensed data, such as aerial photography or satellite imagery. These source data have a large influence on the final LULC data product, so much so that one can classify LULC datasets into two general groups: LULC data derived from aerial photography and LULC data derived from satellite imagery. The final LULC data can be converted from one format to another (for instance, vector LULC data can be converted into raster data for analysis purposes, and vice versa), but each subsequent dataset maintains the imprint of the source medium within its spatial accuracy and data features. The source data will also influence the spatial and temporal resolution, as well as the type of classification.\r\n\r\nThe intended application of the LULC data typically defines the type of source data and methodology, with satellite imagery being selected for large landscapes (state-wide, national data products) and repeatability (environmental monitoring and change analysis). The coarse spatial scale and lack of refined land-use categories are typical drawbacks to satellite-based land-use classifications. Aerial photography is typically selected for smaller landscapes (watershed-basin scale), for greater definition of the land-use categories, and for increased spatial resolution. Disadvantages of using photography include time-consuming digitization, high costs for imagery collection, and lack of seasonal data. Recently, the availability of high-resolution satellite imagery has generated a new category of LULC data product. These new datasets have similar strengths to the aerial-photo-based LULC in that they possess the potential for refined definition of land-use categories and increased spatial resolution but also have the benefit of satellite-based classifications, such as repeatability for change analysis. LULC classification based on high-resolution satellite imagery is still in the early stages of development but merits greater attention because environmental-monitoring and landscape-modeling programs rely heavily on LULC data.\r\n\r\nThis publication summarizes land-use and land-cover mapping activities for Alabama and Mississippi coastal areas within the U.S. Geological Survey (USGS) Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility Project boundaries. Existing LULC datasets will be described, as well as imagery data sources and ancillary data that may provide ground-truth or satellite training data for a forthcoming land-cover classification. Finally, potential areas for a high-resolution land-cover classification in the Alabama-Mississippi region will be identified.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091028","usgsCitation":"Smith, K., Nayegandhi, A., and Brock, J., 2010, A Review of Land-Cover Mapping Activities in Coastal Alabama and Mississippi: U.S. Geological Survey Open-File Report 2009-1028, iv, 19 p. , https://doi.org/10.3133/ofr20091028.","productDescription":"iv, 19 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":118680,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1028.jpg"},{"id":13642,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1028/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.33333333333333,29.666666666666668 ], [ -90.33333333333333,31.416666666666668 ], [ -87,31.416666666666668 ], [ -87,29.666666666666668 ], [ -90.33333333333333,29.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4967e4b0b290850ef21d","contributors":{"authors":[{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":305167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":305168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":305166,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98377,"text":"fs20103035 - 2010 - Filtering NetCDF Files by Using the EverVIEW Slice and Dice Tool","interactions":[],"lastModifiedDate":"2012-02-02T00:15:03","indexId":"fs20103035","displayToPublicDate":"2010-05-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3035","title":"Filtering NetCDF Files by Using the EverVIEW Slice and Dice Tool","docAbstract":"Network Common Data Form (NetCDF) is a self-describing, machine-independent file format for storing array-oriented scientific data. It was created to provide a common interface between applications and real-time meteorological and other scientific data. Over the past few years, there has been a growing movement within the community of natural resource managers in The Everglades, Fla., to use NetCDF as the standard data container for datasets based on multidimensional arrays. As a consequence, a need surfaced for additional tools to view and manipulate NetCDF datasets, specifically to filter the files by creating subsets of large NetCDF files. The U.S. Geological Survey (USGS) and the Joint Ecosystem Modeling (JEM) group are working to address these needs with applications like the EverVIEW Slice and Dice Tool, which allows users to filter grid-based NetCDF files, thus targeting those data most important to them. The major functions of this tool are as follows: (1) to create subsets of NetCDF files temporally, spatially, and by data value; (2) to view the NetCDF data in table form; and (3) to export the filtered data to a comma-separated value (CSV) file format. The USGS and JEM will continue to work with scientists and natural resource managers across The Everglades to solve complex restoration problems through technological advances.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103035","usgsCitation":"Conzelmann, C., and Romañach, S., 2010, Filtering NetCDF Files by Using the EverVIEW Slice and Dice Tool: U.S. Geological Survey Fact Sheet 2010-3035, 2 p., https://doi.org/10.3133/fs20103035.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":125386,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3035.bmp"},{"id":13627,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3035/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fee4b07f02db5f72b8","contributors":{"authors":[{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":305129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":305128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98375,"text":"fs20103026 - 2010 - Landsat: A Global Land-Imaging Project","interactions":[{"subject":{"id":75993,"text":"fs20053130 - 2005 - Landsat: A global land-observing program","indexId":"fs20053130","publicationYear":"2005","noYear":false,"title":"Landsat: A global land-observing program"},"predicate":"SUPERSEDED_BY","object":{"id":98375,"text":"fs20103026 - 2010 - Landsat: A Global Land-Imaging Project","indexId":"fs20103026","publicationYear":"2010","noYear":false,"title":"Landsat: A Global Land-Imaging Project"},"id":1}],"lastModifiedDate":"2012-02-02T00:15:03","indexId":"fs20103026","displayToPublicDate":"2010-05-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3026","title":"Landsat: A Global Land-Imaging Project","docAbstract":"Across nearly four decades since 1972, Landsat satellites continuously have acquired space-based images of the Earth's land surface, coastal shallows, and coral reefs. The Landsat Program, a joint effort of the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA), was established to routinely gather land imagery from space; consequently, NASA develops remote-sensing instruments and spacecraft, then launches and validates the satellites. The USGS then assumes ownership and operation of the satellites, in addition to managing all ground-data reception, archiving, product generation, and distribution. The result of this program is a visible, long-term record of natural and human-induced changes on the global landscape.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103026","usgsCitation":"Headley, R., 2010, Landsat: A Global Land-Imaging Project: U.S. Geological Survey Fact Sheet 2010-3026, 4 p., https://doi.org/10.3133/fs20103026.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":125394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3026.bmp"},{"id":13623,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3026/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abb41","contributors":{"authors":[{"text":"Headley, Rachel rheadley@usgs.gov","contributorId":1744,"corporation":false,"usgs":true,"family":"Headley","given":"Rachel","email":"rheadley@usgs.gov","affiliations":[],"preferred":true,"id":305126,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98380,"text":"sir20095267 - 2010 - Methods for estimating flow-duration and annual mean-flow statistics for ungaged streams in Oklahoma","interactions":[],"lastModifiedDate":"2012-12-17T09:21:20","indexId":"sir20095267","displayToPublicDate":"2010-05-13T00:00:00","publicationYear":"2010","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":"2009-5267","title":"Methods for estimating flow-duration and annual mean-flow statistics for ungaged streams in Oklahoma","docAbstract":"Flow statistics can be used to provide decision makers with surface-water information needed for activities such as water-supply permitting, flow regulation, and other water rights issues. Flow statistics could be needed at any location along a stream. Most often, streamflow statistics are needed at ungaged sites, where no flow data are available to compute the statistics. Methods are presented in this report for estimating flow-duration and annual mean-flow statistics for ungaged streams in Oklahoma. \n\nFlow statistics included the (1) annual (period of record), (2) seasonal (summer-autumn and winter-spring), and (3) 12 monthly duration statistics, including the 20th, 50th, 80th, 90th, and 95th percentile flow exceedances, and the annual mean-flow (mean of daily flows for the period of record). Flow statistics were calculated from daily streamflow information collected from 235 streamflow-gaging stations throughout Oklahoma and areas in adjacent states.\n\nA drainage-area ratio method is the preferred method for estimating flow statistics at an ungaged location that is on a stream near a gage. The method generally is reliable only if the drainage-area ratio of the two sites is between 0.5 and 1.5. \n\nRegression equations that relate flow statistics to drainage-basin characteristics were developed for the purpose of estimating selected flow-duration and annual mean-flow statistics for ungaged streams that are not near gaging stations on the same stream. Regression equations were developed from flow statistics and drainage-basin characteristics for 113 unregulated gaging stations. \n\nSeparate regression equations were developed by using U.S. Geological Survey streamflow-gaging stations in regions with similar drainage-basin characteristics. These equations can increase the accuracy of regression equations used for estimating flow-duration and annual mean-flow statistics at ungaged stream locations in Oklahoma. Streamflow-gaging stations were grouped by selected drainage-basin characteristics by using a k-means cluster analysis. Three regions were identified for Oklahoma on the basis of the clustering of gaging stations and a manual delineation of distinguishable hydrologic and geologic boundaries: Region 1 (western Oklahoma excluding the Oklahoma and Texas Panhandles), Region 2 (north- and south-central Oklahoma), and Region 3 (eastern and central Oklahoma). \n\nA total of 228 regression equations (225 flow-duration regressions and three annual mean-flow regressions) were developed using ordinary least-squares and left-censored (Tobit) multiple-regression techniques. These equations can be used to estimate 75 flow-duration statistics and annual mean-flow for ungaged streams in the three regions. Drainage-basin characteristics that were statistically significant independent variables in the regression analyses were (1) contributing drainage area; (2) station elevation; (3) mean drainage-basin elevation; (4) channel slope; (5) percentage of forested canopy; (6) mean drainage-basin hillslope; (7) soil permeability; and (8) mean annual, seasonal, and monthly precipitation. \n\nThe accuracy of flow-duration regression equations generally decreased from high-flow exceedance (low-exceedance probability) to low-flow exceedance (high-exceedance probability) . This decrease may have happened because a greater uncertainty exists for low-flow estimates and low-flow is largely affected by localized geology that was not quantified by the drainage-basin characteristics selected.\n\nThe standard errors of estimate of regression equations for Region 1 (western Oklahoma) were substantially larger than those standard errors for other regions, especially for low-flow exceedances. These errors may be a result of greater variability in low flow because of increased irrigation activities in this region.\n\nRegression equations may not be reliable for sites where the drainage-basin characteristics are outside the range of values of independent vari","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095267","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Esralew, R.A., and Smith, S.J., 2010, Methods for estimating flow-duration and annual mean-flow statistics for ungaged streams in Oklahoma: U.S. Geological Survey Scientific Investigations Report 2009-5267, vi, 53 p.; Tables, https://doi.org/10.3133/sir20095267.","productDescription":"vi, 53 p.; Tables","onlineOnly":"N","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":125390,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5267.jpg"},{"id":13630,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5267/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.66666666666667,34 ], [ -103.66666666666667,38 ], [ -94,38 ], [ -94,34 ], [ -103.66666666666667,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e80d","contributors":{"authors":[{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305135,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227695,"text":"70227695 - 2010 - An overview of the Landsat Data Continuity Mission","interactions":[],"lastModifiedDate":"2022-05-19T15:49:23.076291","indexId":"70227695","displayToPublicDate":"2010-05-12T13:34:33","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An overview of the Landsat Data Continuity Mission","docAbstract":"

The Landsat Data Continuity Mission (LDCM) is the follow-on mission to Landsat 7 and will be the eighth mission in the Landsat series. The mission is in development via an interagency partnership between the National Aeronautics and Space Administration (NASA) and the Department of Interior (DOI) / United States Geological Survey (USGS). The LDCM satellite will carry two earth-observing sensors, the Operational Land Imager (OLI) to collect image data for nine spectral bands in the reflective portion of the spectrum and the Thermal Infrared Sensor (TIRS) to collect coincident image data for two thermal spectral bands. The LDCM ground segment will control the satellite and will receive, process, archive, and distribute the science data collected by the OLI and TIRS instruments. The USGS Earth Resources Observation & Science Center (EROS) will distribute LDCM data products at no cost to requestors. The mission objective is to continues the Landsat program's collection, archive, and distribution of multispectral imagery affording global, synoptic, and repetitive coverage of the Earth's land surfaces at a scale where natural and human-induced changes can be detected, differentiated, characterized, and monitored over time. The LDCM launch readiness date is currently December, 2012.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE 7695, algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVI","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SPIE 7695","conferenceDate":"April 5-9, 2010","conferenceLocation":"Orlando, Florida, United States","language":"English","publisher":"Society of Photo-Optical Instrumentation Engineers","doi":"10.1117/12.850416","usgsCitation":"Irons, J.R., and Dwyer, J.L., 2010, An overview of the Landsat Data Continuity Mission, in Proceedings of SPIE 7695, algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XVI, v. 7695, Orlando, Florida, United States, April 5-9, 2010, 769508, 7 p., https://doi.org/10.1117/12.850416.","productDescription":"769508, 7 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475723,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20100031706","text":"External Repository"},{"id":394905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7695","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Shen, Sylvia S.","contributorId":272229,"corporation":false,"usgs":false,"family":"Shen","given":"Sylvia S.","affiliations":[],"preferred":false,"id":831812,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lewis, Paul E.","contributorId":149198,"corporation":false,"usgs":false,"family":"Lewis","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":831813,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Irons, James R","contributorId":117742,"corporation":false,"usgs":true,"family":"Irons","given":"James","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":831810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":831811,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98372,"text":"ofr20101040 - 2010 - Ecosystem health in mineralized terrane — Data from podiform chromite (Chinese Camp mining district, California), quartz alunite (Castle Peak and Masonic mining districts, Nevada/California), and Mo/Cu porphyry (Battle Mountain mining district, Nevada) deposits","interactions":[],"lastModifiedDate":"2021-12-08T21:44:51.718078","indexId":"ofr20101040","displayToPublicDate":"2010-05-08T00:00:00","publicationYear":"2010","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":"2010-1040","title":"Ecosystem health in mineralized terrane — Data from podiform chromite (Chinese Camp mining district, California), quartz alunite (Castle Peak and Masonic mining districts, Nevada/California), and Mo/Cu porphyry (Battle Mountain mining district, Nevada) deposits","docAbstract":"

The myriad definitions of soil/ecosystem quality or health are often driven by ecosystem and management concerns, and they typically focus on the ability of the soil to provide functions relating to biological productivity and/or environmental quality. A variety of attempts have been made to create indices that quantify the complexities of soil quality and provide a means of evaluating the impact of various natural and anthropogenic disturbances. Though not without their limitations, indices can improve our understanding of the controls behind ecosystem processes and allow for the distillation of information to help link scientific and management communities. In terrestrial systems, indices were initially developed and modified for agroecosystems; however, the number of studies implementing such indices in nonagricultural systems is growing. Soil quality indices (SQIs) are typically composed of biological (and sometimes physical and chemical) parameters that attempt to reduce the complexity of a system into a metric of a soil’s ability to carry out one or more functions.

The indicators utilized in SQIs can be as varied as the studies themselves, reflecting the complexity of the soil and ecosystems in which they function. Regardless, effective soil quality indicators should correlate well with soil or ecosystem processes, integrate those properties and processes, and be relevant to management practices. Commonly applied biological indicators include measures associated with soil microbial activity or function (for example, carbon and nitrogen mineralization, respiration, microbial biomass, enzyme activity. Cost, accessibility, ease of interpretation, and presence of existing data often dictate indicator selection given the number of available measures. We employed a large number of soil biological, chemical, and physical measures, along with measures of vegetation cover, density, and productivity, in order to test the utility and sensitivity of these measures within various mineralized terranes. We were also interested in examining these relations in the context of determining appropriate reference conditions with which to compare reclamation efforts.

The purpose of this report is to present the data used to develop indices of soil and ecosystem quality associated with mineralized terranes (areas enriched in metal-bearing minerals), specifically podiform chromite, quartz alunite, and Mo/Cu porphyry systems. Within each of these mineralized terranes, a nearby unmineralized counterpart was chosen for comparison. The data consist of soil biological, chemical, and physical parameters, along with vegetation measurements for each of the sites described below. Synthesis of these data and index development will be the subject of future publications.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101040","usgsCitation":"Blecker, S.W., Stillings, L., Amacher, M.C., Ippolito, J.A., and DeCrappeo, N.M., 2010, Ecosystem health in mineralized terrane — Data from podiform chromite (Chinese Camp mining district, California), quartz alunite (Castle Peak and Masonic mining districts, Nevada/California), and Mo/Cu porphyry (Battle Mountain mining district, Nevada) deposits: U.S. Geological Survey Open-File Report 2010-1040, Report: v, 38 p.; Appendix Tables Folder, https://doi.org/10.3133/ofr20101040.","productDescription":"Report: v, 38 p.; Appendix Tables Folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":661,"text":"Western Mineral Resources Science Center-Menlo Park Office","active":false,"usgs":true}],"links":[{"id":118664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1040.jpg"},{"id":392653,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93113.htm"},{"id":13619,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1040/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Chinese Camp mining district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.45,\n 37.7833\n ],\n [\n -120.35,\n 37.7833\n ],\n [\n -120.35,\n 37.8833\n ],\n [\n -120.45,\n 37.8833\n ],\n [\n -120.45,\n 37.7833\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db6259aa","contributors":{"authors":[{"text":"Blecker, Steve W.","contributorId":7390,"corporation":false,"usgs":true,"family":"Blecker","given":"Steve","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":305116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":305115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amacher, Michael C.","contributorId":44949,"corporation":false,"usgs":true,"family":"Amacher","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ippolito, James A.","contributorId":70880,"corporation":false,"usgs":true,"family":"Ippolito","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeCrappeo, Nicole M.","contributorId":92383,"corporation":false,"usgs":true,"family":"DeCrappeo","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305119,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98369,"text":"ds464 - 2010 - ATM Coastal Topography-Louisiana, 2001: UTM Zone 15 (Part 1 of 2)","interactions":[],"lastModifiedDate":"2023-12-07T15:06:19.386218","indexId":"ds464","displayToPublicDate":"2010-05-08T00:00:00","publicationYear":"2010","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":"464","title":"ATM Coastal Topography-Louisiana, 2001: UTM Zone 15 (Part 1 of 2)","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Louisiana coastline beach face within UTM Zone 15, from Isles Dernieres to Grand Isle, acquired September 7 and 10, 2001. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative scanning lidar instrument originally developed by NASA, and known as the Airborne Topographic Mapper (ATM), was used during data acquisition. The ATM system is a scanning lidar system that measures high-resolution topography of the land surface and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. The nominal ATM platform is a Twin Otter or P-3 Orion aircraft, but the instrument may be deployed on a range of light aircraft.\r\n\r\nElevation measurements were collected over the survey area using the ATM system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first-surface topography.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds464","usgsCitation":"Yates, X., Nayegandhi, A., Brock, J., Sallenger, A., Klipp, E.S., and Wright, C.W., 2010, ATM Coastal Topography-Louisiana, 2001: UTM Zone 15 (Part 1 of 2): U.S. Geological Survey Data Series 464, HTML Document: DVD, https://doi.org/10.3133/ds464.","productDescription":"HTML Document: DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423295,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97204.htm","linkFileType":{"id":5,"text":"html"}},{"id":13616,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/464/","linkFileType":{"id":5,"text":"html"}},{"id":118653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_464.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90,\n 29.0439\n ],\n [\n -90,\n 29.2417\n ],\n [\n -90.9542,\n 29.2417\n ],\n [\n -90.9542,\n 29.0439\n ],\n [\n -90,\n 29.0439\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b14e4b07f02db6a43b0","contributors":{"authors":[{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":305102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":305099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":305097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":305101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":305100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98367,"text":"ds497 - 2010 - U.S. Geological Survey Catskill/Delaware water-quality network: Water-quality report water year 2006","interactions":[],"lastModifiedDate":"2022-07-06T11:08:12.698368","indexId":"ds497","displayToPublicDate":"2010-05-08T00:00:00","publicationYear":"2010","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":"497","title":"U.S. Geological Survey Catskill/Delaware water-quality network: Water-quality report water year 2006","docAbstract":"The U.S. Geological Survey operates a 60-station streamgaging network in the New York City Catskill/Delaware Water Supply System. Water-quality samples were collected at 13 of the stations in the Catskill/Delaware streamgaging network to provide resource managers with water-quality and water-quantity data from the water-supply system that supplies about 85 percent of the water needed by the more than 9 million residents of New York City. This report summarizes water-quality data collected at those 13 stations plus one additional station operated as a part of the U.S. Environmental Protection Agency's Regional Long-Term Monitoring Network for the 2006 water year (October 1, 2005 to September 30, 2006). An average of 62 water-quality samples were collected at each station during the 2006 water year, including grab samples collected every other week and storm samples collected with automated samplers. On average, 8 storms were sampled at each station during the 2006 water year. The 2006 calendar year was the second warmest on record and the summer of 2006 was the wettest on record for the northeastern United States. A large storm on June 26-28, 2006, caused extensive flooding in the western part of the network where record peak flows were measured at several watersheds.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds497","collaboration":"Prepared in cooperation with the\r\nNew York City Department of Environmental Protection","usgsCitation":"McHale, M.R., and Siemion, J., 2010, U.S. Geological Survey Catskill/Delaware water-quality network: Water-quality report water year 2006: U.S. Geological Survey Data Series 497, vi, 36 p., https://doi.org/10.3133/ds497.","productDescription":"vi, 36 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-10-01","temporalEnd":"2006-09-30","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":118655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_497.jpg"},{"id":13615,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/497/","linkFileType":{"id":5,"text":"html"}},{"id":403004,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93120.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.003662109375,\n 41.95131994679697\n ],\n [\n -74.674072265625,\n 41.80407814427234\n ],\n [\n -74.344482421875,\n 41.77131167976407\n ],\n [\n -74.2236328125,\n 41.75492216766298\n ],\n [\n -73.9874267578125,\n 42.17154633452751\n ],\n [\n -74.190673828125,\n 42.37883631647602\n ],\n [\n -74.46533203125,\n 42.68647341541784\n ],\n [\n -74.805908203125,\n 42.718768102606326\n ],\n [\n -75.21240234375,\n 42.78733853171998\n ],\n [\n -75.3826904296875,\n 42.78733853171998\n ],\n [\n -75.728759765625,\n 42.51665075361143\n ],\n [\n -75.91552734375,\n 42.293564192170095\n ],\n [\n -75.73974609375,\n 42.14304156290942\n ],\n [\n -75.2783203125,\n 42.05745022024682\n ],\n [\n -75.003662109375,\n 41.95131994679697\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d5e4b07f02db5dd9b4","contributors":{"authors":[{"text":"McHale, Michael R. 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":1735,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siemion, Jason jsiemion@usgs.gov","contributorId":3011,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305096,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98371,"text":"ofr20091268 - 2010 - Temporal chemical data for sediment, water, and biological samples from the Lava Cap Mine Superfund site, Nevada County, California— 2006–2008","interactions":[],"lastModifiedDate":"2021-08-31T21:28:00.198834","indexId":"ofr20091268","displayToPublicDate":"2010-05-08T00:00:00","publicationYear":"2010","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":"2009-1268","title":"Temporal chemical data for sediment, water, and biological samples from the Lava Cap Mine Superfund site, Nevada County, California— 2006–2008","docAbstract":"

The Lava Cap Mine is located about 6 km east of the city of Grass Valley, Nevada County, California, at an elevation of about 900 m. Gold was hosted in quartz-carbonate veins typical of the Sierran Gold Belt, but the gold grain size was smaller and the abundance of sulfide minerals higher than in typical deposits. The vein system was discovered in 1860, but production was sporadic until the 1930s when two smaller operations on the site were consolidated, a flotation mill was built, and a 100-foot deep adit was driven to facilitate drainage and removal of water from the mine workings, which extended to 366 m. Peak production at the Lava Cap occurred between 1934 and 1943, when about 90,000 tons of ore per year were processed. To facilitate removal of the gold and accessory sulfide minerals, the ore was crushed to a very fine sand or silt grain size for processing. Mining operations at Lava Cap ceased in June 1943 due to War Production Board Order L-208 and did not resume after the end of World War II.

Two tailings retention structures were built at the Lava Cap Mine. The first was a log dam located about 0.4 km below the flotation mill on Little Clipper Creek, and the second, built in 1938, was a larger earth fill and rip-rap structure constructed about 2 km downstream, which formed the water body now called Lost Lake. The log dam failed during a storm that began on December 31, 1996, and continued into January 1997; an estimated 8,000-10,000 m3 of tailings were released into Little Clipper Creek during this event. Most of the fine tailings were deposited in Lost Lake, dramatically increasing its turbidity and resulting in a temporary 1-1.5 m rise in lake level due to debris blocking the dam spillway. When the blockage was cleared, the lake level quickly lowered, leaving a \"bathtub ring\" of very fine tailings deposited substantially above the water line. The U.S. Environmental Protection Agency (EPA) initiated emergency action in late 1997 at the mine site to reduce the possibility of future movement of tailings, and began an assessment of the risks posed by physical and chemical hazards at the site.

The EPA's assessment identified arsenic (As) as the primary hazard of concern. Three main exposure routes were identified: inhalation/ingestion of mine tailings, dermal absorption/ingestion of As in lake water from swimming, and ingestion of As-contaminated ground water or surface water. Lost Lake is a private lake which is completely surrounded by low-density residential development. Prior to the dam failure, the lake was used by the local residents for swimming and boating. An estimated 1,776 people reside within one mile of the lake, and almost all residents of the area use potable groundwater for domestic use. Risk factors for human exposure to As derived from mine wastes were high enough to merit placement of the mine site and surrounding area on the National Priority List (commonly called \"Superfund\").

The Lava Cap Mine Superfund site (LCMS) encompasses approximately 33 acres that include the mine site, the stretch of Little Clipper Creek between the mine and Lost Lake, the lake itself, and the area between the lake and the confluence of Little Clipper Creek with its parent stream, Clipper Creek. The area between the two creeks is named the \"deposition area\" due to the estimated 24 m thick layer of tailings that were laid down there during and after active mining. The lobate structure of Lost Lake is also due to deposition in this area. The deposition area and Lost Lake are together estimated to contain 382,277 m3 of tailings.

The primary goals of the EPA have been to minimize tailings movement downstream of Lost Lake and to ensure that residents in the area have drinking water that meets national water quality standards. EPA has officially decided to construct a public water supply line to deliver safe water to affected residences, since some residential wells in the area have As concentrations above the current drinking water standard (10 ppb). However, some deeper monitoring wells in the deposition
area have As concentrations that are as much as 100 times the As drinking water standard (EPA, 2001). Fracture-dominated groundwater flowpaths complicate measurement of the rate and direction of groundwater flow in the area. Investigations of groundwater movement at the LCMS are planned by the EPA, but have not been undertaken at the time of this writing.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091268","usgsCitation":"Foster, A.L., Ona-Nguema, G., Tufano, K., and White, R., 2010, Temporal chemical data for sediment, water, and biological samples from the Lava Cap Mine Superfund site, Nevada County, California— 2006–2008: U.S. Geological Survey Open-File Report 2009-1268, iv, 46 p., https://doi.org/10.3133/ofr20091268.","productDescription":"iv, 46 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":660,"text":"Western Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":118659,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1268.jpg"},{"id":13618,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1268/","linkFileType":{"id":5,"text":"html"}},{"id":388452,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93112.htm"}],"country":"United States","state":"California","county":"Nevada County","otherGeospatial":"Lava Cap Mine Superfund site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.0,\n 39.1933\n ],\n [\n -120.9422,\n 39.1933\n ],\n [\n -120.9422,\n 39.25\n ],\n [\n -121.0,\n 39.25\n ],\n [\n -121.0,\n 39.1933\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db685863","contributors":{"authors":[{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":305111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ona-Nguema, Georges","contributorId":72484,"corporation":false,"usgs":true,"family":"Ona-Nguema","given":"Georges","email":"","affiliations":[],"preferred":false,"id":305112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tufano, Kate","contributorId":81594,"corporation":false,"usgs":true,"family":"Tufano","given":"Kate","email":"","affiliations":[],"preferred":false,"id":305113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Richard III","contributorId":100100,"corporation":false,"usgs":true,"family":"White","given":"Richard III","affiliations":[],"preferred":false,"id":305114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98370,"text":"ofr20091001 - 2010 - Geological Interpretation of the Sea Floor Offshore of Edgartown, Massachusetts","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ofr20091001","displayToPublicDate":"2010-05-08T00:00:00","publicationYear":"2010","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":"2009-1001","title":"Geological Interpretation of the Sea Floor Offshore of Edgartown, Massachusetts","docAbstract":"Gridded bathymetry and sidescan-sonar imagery together cover approximately 37.3 square kilometers of sea floor in the vicinity of Edgartown Harbor, Massachusetts. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic survey H11346, these acoustic data, and the sea-floor stations and seismic-reflection lines subsequently occupied to verify them, 1) show the composition and terrain of the seabed, 2) provide information on sediment transport and benthic habitat, and 3) are part of an expanding series of studies that provide a fundamental framework for research and management (for example, windfarms, pipelines, and dredging) activities along the Massachusetts inner continental shelf.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091001","usgsCitation":"Poppe, L., McMullen, K., Foster, D., Blackwood, D., Williams, S., Ackerman, S., Moser, M.S., and Glomb, K., 2010, Geological Interpretation of the Sea Floor Offshore of Edgartown, Massachusetts: U.S. Geological Survey Open-File Report 2009-1001, , https://doi.org/10.3133/ofr20091001.","productDescription":" ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":118656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1001.jpg"},{"id":13617,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1001/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.43362083646453, 41.44168884146133], [-70.43525043645852, 41.43676609147946], [-70.44024108644011, 41.43286184149385], [-70.44227808643261, 41.42905944150789], [-70.4537531863903, 41.4277014415129], [-70.46149378636176, 41.42237129153254], [-70.4640060863525, 41.42396694152666], [-70.46892883633436, 41.42074169153856], [-70.47575278630919, 41.4085196915836], [-70.47654386028181, 41.39970261657188], [-70.48223122633321, 41.393124983100925], [-70.48957043625825, 41.391205191647444], [-70.49473083623923, 41.385331841669085], [-70.50206403621219, 41.387810191659945], [-70.50036653621845, 41.392053941644285], [-70.49235433624797, 41.401831541608274], [-70.49041918625512, 41.40716169158862], [-70.49476478623909, 41.40889314158224], [-70.49296543624573, 41.41884049154556], [-70.49357653624345, 41.423287941529175], [-70.49748182490733, 41.425402299446574], [-70.49585118623507, 41.42838044151036], [-70.49995913621993, 41.42899154150812], [-70.50199613621241, 41.42746379151376], [-70.50416893620441, 41.42369534152765], [-70.50355783620665, 41.42084354153818], [-70.5151008361641, 41.40916474158122], [-70.52677963612105, 41.40716169158862], [-70.54178553606573, 41.414936241559964], [-70.54650826651378, 41.42011177630812], [-70.54766490120922, 41.42650651366444], [-70.55160743415264, 41.43093632596043], [-70.54775349745513, 41.44103629799527], [-70.4961227862341, 41.44199439146019], [-70.4911321362525, 41.44087404146432], [-70.48824638626313, 41.44148514146206], [-70.48760133626551, 41.44318264145581], [-70.48590383627177, 41.442843141457054], [-70.4862772862704, 41.44138329146246], [-70.47935148629594, 41.44097589146395], [-70.43362083646453, 41.44168884146133]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.55160743415264, 41.38522999166947, -70.43362083646453, 41.44318264145581], \"type\": \"Feature\", \"id\": \"3091903\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db68805d","contributors":{"authors":[{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":305106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":305104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, D.S.","contributorId":30641,"corporation":false,"usgs":true,"family":"Foster","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":305103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, D.S.","contributorId":98747,"corporation":false,"usgs":true,"family":"Blackwood","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":305110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, S.J.","contributorId":85203,"corporation":false,"usgs":true,"family":"Williams","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":305107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackerman, S.D.","contributorId":88843,"corporation":false,"usgs":true,"family":"Ackerman","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":305108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moser, M. S.","contributorId":98391,"corporation":false,"usgs":true,"family":"Moser","given":"M.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":305109,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glomb, K.A.","contributorId":67996,"corporation":false,"usgs":true,"family":"Glomb","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":305105,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":98364,"text":"ofr20101084 - 2010 - Locatable Mineral Reports for Colorado, South Dakota, and Wyoming provided to the USDA Forest Service in Fiscal Years 2006-2009","interactions":[],"lastModifiedDate":"2022-06-06T19:11:37.958097","indexId":"ofr20101084","displayToPublicDate":"2010-05-06T00:00:00","publicationYear":"2010","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":"2010-1084","title":"Locatable Mineral Reports for Colorado, South Dakota, and Wyoming provided to the USDA Forest Service in Fiscal Years 2006-2009","docAbstract":"The U.S. Geological Survey is required by Congress (under Public Law 86-509) to provide Locatable Mineral Reports to the USDA Forest Service whenever National Forest System lands are sold or exchanged. This volume is a compilation of the reports already provided to the Forest Service by the author in fiscal years 2006-2009 (October 2006-September 2009). Altogether, the reports describe the geology and locatable mineral resource potential of 57 properties offered in 10 land-exchange proposals. Approximately 41,084 acres were evaluated: 19,068 acres in Federal parcels and 22,016 acres in non-Federal parcels. The parcels are located in eight National Forests and one National Grassland in three States.\r\n\r\nLocatable Mineral Reports provide a summary of the geology and a subjective appraisal of the mineral resource potential of land parcels considered for exchange. Information in each report is based on a review of published maps and reports, unpublished data in U.S. Geological Survey files, the professional expertise of the writer, and interviews with other knowledgeable geoscientists. No visits were conducted to support the reports included in this volume. The mineral resource information provided is used in making relative comparisons of the potential future mineral value of lands being offered in an exchange and in appraising the value of the land. Future mineral potential value is subjectively expressed in qualitative terms using a three-tier nomenclature of 'high,' 'moderate,' and 'low.' In general, 'high' is applied where mineral deposits are present on the property or adjacent to it or there are other indications that the area has been mineralized. 'Moderate' is applied where mineralization is only suspected or where an area possesses some of the same geologic characteristics that are common to areas around known mineral deposits. A 'low' value is routinely applied to all remaining areas, with the understanding that the information required to prove the absence of any mineral resource potential will never be available. Copies of the reports reside in U.S. Geological Survey Mineral Resource Program and USDA Forest Service files.\r\n\r\nTen reports are included in this volume. They are grouped by State, then alphabetically by Forest. Each starts with a cover letter and title page. Geologic descriptions of properties, their mineral potential, and references make up the main body of each report. Legal descriptions of the property locations (either verbatim or paraphrased from descriptions supplied by the Forest Service) are included as attachments designated Exhibits A and B. Also included as attachments are the report request from the USDA Forest Service and any index maps, geologic maps, or other figures or illustrations that are provided for the convenience of the Forest Service minerals examiner. Page numbers for each individual report are retained: the larger number at the bottom of each page is the pagination for this volume.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101084","usgsCitation":"Wilson, A.B., 2010, Locatable Mineral Reports for Colorado, South Dakota, and Wyoming provided to the USDA Forest Service in Fiscal Years 2006-2009: U.S. Geological Survey Open-File Report 2010-1084, v, 111 p., https://doi.org/10.3133/ofr20101084.","productDescription":"v, 111 p.","onlineOnly":"Y","temporalStart":"2006-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125905,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1084.jpg"},{"id":401795,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93087.htm"},{"id":13612,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1084/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado, South Dakota, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.053249,41.001406],[-102.051718,41.002377],[-102.04224,36.993083],[-102.698142,36.995149],[-102.814616,37.000783],[-105.029228,36.992729],[-105.447255,36.996017],[-106.869796,36.992426],[-106.877292,37.000139],[-109.045223,36.999084],[-109.041762,38.16469],[-109.060062,38.275489],[-109.059541,38.719888],[-109.051512,39.126095],[-109.050076,41.000659],[-110.500718,40.994746],[-111.046723,40.997959],[-111.044168,43.189244],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055199,45.001321],[-110.785008,45.002952],[-110.705272,44.992324],[-110.552433,44.992237],[-110.402927,44.99381],[-110.362698,45.000593],[-110.199503,44.996188],[-110.110103,45.003905],[-109.75073,45.001605],[-109.103445,45.005904],[-109.08301,44.99961],[-107.351441,45.001407],[-107.084939,44.996599],[-106.263586,44.993788],[-105.928184,44.993647],[-105.914258,44.999986],[-105.848065,45.000396],[-104.039681,44.998041],[-104.045443,45.94531],[-100.430597,45.943638],[-98.414518,45.936504],[-96.56328,45.935238],[-96.56442,45.909415],[-96.574667,45.866816],[-96.574517,45.843098],[-96.583085,45.820024],[-96.627778,45.786239],[-96.641941,45.759871],[-96.662595,45.738682],[-96.745086,45.701576],[-96.760866,45.687518],[-96.835769,45.649648],[-96.844211,45.639583],[-96.857751,45.605962],[-96.76528,45.521414],[-96.732739,45.458737],[-96.692541,45.417338],[-96.680454,45.410499],[-96.617726,45.408092],[-96.562142,45.38609],[-96.521787,45.375645],[-96.489065,45.357071],[-96.453067,45.298115],[-96.453049,43.500415],[-96.598928,43.500457],[-96.599182,43.496011],[-96.586274,43.491099],[-96.580997,43.481384],[-96.586364,43.478251],[-96.587929,43.464878],[-96.60286,43.450907],[-96.594254,43.434153],[-96.570224,43.428601],[-96.573579,43.419228],[-96.537116,43.395063],[-96.525453,43.396317],[-96.521572,43.38564],[-96.527223,43.362257],[-96.52551,43.348335],[-96.534913,43.336473],[-96.525564,43.312467],[-96.530392,43.300034],[-96.553087,43.29286],[-96.580346,43.298204],[-96.577588,43.2788],[-96.586317,43.274319],[-96.58522,43.268878],[-96.553217,43.259141],[-96.552963,43.247281],[-96.571194,43.238961],[-96.568505,43.231554],[-96.56044,43.224219],[-96.535741,43.22764],[-96.520961,43.21824],[-96.496454,43.223652],[-96.476697,43.222014],[-96.470626,43.207225],[-96.473834,43.189804],[-96.465146,43.182971],[-96.466537,43.150281],[-96.459978,43.143516],[-96.450361,43.142237],[-96.436589,43.120842],[-96.462855,43.091419],[-96.454088,43.084197],[-96.46085,43.064033],[-96.476905,43.062383],[-96.488839,43.051475],[-96.508916,43.049985],[-96.518431,43.042068],[-96.509145,43.037297],[-96.511804,43.025799],[-96.49167,43.009707],[-96.496699,42.998807],[-96.509986,42.995126],[-96.512237,42.985937],[-96.520773,42.980385],[-96.515922,42.972886],[-96.506148,42.971348],[-96.500308,42.959391],[-96.509472,42.945151],[-96.519994,42.93976],[-96.516888,42.932512],[-96.523513,42.935784],[-96.541098,42.924496],[-96.536564,42.905656],[-96.542473,42.90504],[-96.526563,42.893755],[-96.540116,42.889678],[-96.537851,42.878475],[-96.549659,42.870281],[-96.550469,42.863742],[-96.54379,42.858254],[-96.544321,42.851282],[-96.553772,42.847501],[-96.551285,42.836606],[-96.558584,42.839487],[-96.563058,42.831051],[-96.579772,42.838093],[-96.58238,42.833657],[-96.577813,42.828719],[-96.584488,42.818979],[-96.594983,42.815844],[-96.595664,42.810426],[-96.592155,42.809924],[-96.595283,42.792982],[-96.603784,42.78372],[-96.61949,42.784034],[-96.633168,42.768325],[-96.628741,42.757532],[-96.619494,42.754792],[-96.630485,42.750378],[-96.639704,42.737071],[-96.631931,42.725086],[-96.626317,42.725951],[-96.624446,42.714294],[-96.630617,42.70588],[-96.61017,42.694568],[-96.59908,42.697296],[-96.596405,42.688514],[-96.575299,42.682665],[-96.578148,42.672765],[-96.572261,42.670776],[-96.568078,42.676241],[-96.556244,42.664396],[-96.559962,42.658543],[-96.543698,42.661377],[-96.537877,42.655431],[-96.538468,42.648092],[-96.516338,42.630435],[-96.518542,42.62035],[-96.530896,42.617129],[-96.529894,42.610432],[-96.519514,42.614371],[-96.509468,42.61273],[-96.501434,42.59061],[-96.494777,42.585741],[-96.49545,42.579474],[-96.486606,42.576062],[-96.489328,42.5708],[-96.497186,42.571464],[-96.498041,42.558153],[-96.476952,42.556079],[-96.479009,42.526395],[-96.49297,42.517282],[-96.490089,42.512441],[-96.479384,42.511138],[-96.473339,42.503537],[-96.476509,42.493595],[-96.443408,42.489495],[-96.478792,42.479635],[-96.501321,42.482749],[-96.515891,42.49427],[-96.528753,42.513273],[-96.548791,42.520547],[-96.567896,42.517877],[-96.591121,42.50541],[-96.608883,42.505218],[-96.625958,42.513576],[-96.63533,42.54764],[-96.643589,42.557604],[-96.681369,42.574486],[-96.7093,42.603753],[-96.709485,42.621932],[-96.686982,42.649783],[-96.691269,42.6562],[-96.728024,42.666882],[-96.76406,42.661985],[-96.793238,42.666024],[-96.802178,42.672237],[-96.800485,42.692466],[-96.806219,42.704149],[-96.843419,42.712024],[-96.860436,42.720797],[-96.886845,42.725222],[-96.906797,42.7338],[-96.948902,42.719465],[-96.961576,42.719841],[-96.965833,42.727096],[-96.96123,42.740623],[-96.96888,42.754278],[-96.97912,42.76009],[-97.02485,42.76243],[-97.065592,42.772189],[-97.131331,42.771929],[-97.150763,42.795566],[-97.210126,42.809296],[-97.21783,42.827766],[-97.217411,42.843519],[-97.237868,42.853139],[-97.289859,42.855499],[-97.306677,42.867604],[-97.336156,42.856802],[-97.359569,42.854816],[-97.375337,42.862991],[-97.408315,42.868334],[-97.442279,42.846224],[-97.49149,42.851625],[-97.504847,42.858477],[-97.531867,42.850105],[-97.561928,42.847552],[-97.611811,42.858367],[-97.657846,42.844626],[-97.686506,42.842435],[-97.774456,42.849774],[-97.817075,42.861781],[-97.828496,42.868797],[-97.84527,42.867734],[-97.875345,42.858724],[-97.879878,42.835395],[-97.888562,42.817251],[-97.908983,42.794909],[-97.936716,42.775754],[-97.950147,42.769619],[-97.977588,42.769923],[-98.000348,42.763256],[-98.035034,42.764205],[-98.059838,42.772772],[-98.067388,42.784759],[-98.127489,42.820127],[-98.146933,42.839823],[-98.167523,42.836925],[-98.189765,42.841628],[-98.219826,42.853157],[-98.24982,42.871843],[-98.325864,42.8865],[-98.34623,42.902747],[-98.42074,42.931924],[-98.444145,42.929242],[-98.447047,42.935117],[-98.467356,42.947556],[-98.490483,42.977948],[-98.49855,42.99856],[-101.625424,42.996238],[-104.053127,43.000585],[-104.053249,41.001406]]]},\"properties\":{\"name\":\"Colorado\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a68e4b07f02db63b2c6","contributors":{"authors":[{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305089,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98365,"text":"ds489 - 2010 - Geochronology Database for Central Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:14:34","indexId":"ds489","displayToPublicDate":"2010-05-06T00:00:00","publicationYear":"2010","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":"489","title":"Geochronology Database for Central Colorado","docAbstract":"This database is a compilation of published and some unpublished isotopic and fission track age determinations in central Colorado. The compiled area extends from the southern Wyoming border to the northern New Mexico border and from approximately the longitude of Denver on the east to Gunnison on the west. Data for the tephrochronology of Pleistocene volcanic ash, carbon-14, Pb-alpha, common-lead, and U-Pb determinations on uranium ore minerals have been excluded.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds489","usgsCitation":"Klein, T.L., Evans, K.V., and deWitt, E., 2010, Geochronology Database for Central Colorado: U.S. Geological Survey Data Series 489, iii, 13 p., https://doi.org/10.3133/ds489.","productDescription":"iii, 13 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125906,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_489.jpg"},{"id":13613,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/489/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ee4b07f02db6aa299","contributors":{"authors":[{"text":"Klein, T. L.","contributorId":76322,"corporation":false,"usgs":true,"family":"Klein","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, K. V.","contributorId":97507,"corporation":false,"usgs":true,"family":"Evans","given":"K.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":305091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"deWitt, E.H.","contributorId":103371,"corporation":false,"usgs":true,"family":"deWitt","given":"E.H.","email":"","affiliations":[],"preferred":false,"id":305092,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98359,"text":"sir20105023 - 2010 - Water Quality in the Equus Beds Aquifer and the Little Arkansas River Before Implementation of Large-Scale Artificial Recharge, South-Central Kansas, 1995-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20105023","displayToPublicDate":"2010-05-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5023","title":"Water Quality in the Equus Beds Aquifer and the Little Arkansas River Before Implementation of Large-Scale Artificial Recharge, South-Central Kansas, 1995-2005","docAbstract":"Artificial recharge of the Equus Beds aquifer using runoff from the Little Arkansas River in south-central Kansas was first proposed in 1956 and was one of many options considered by the city of Wichita to preserve its water supply. Declining aquifer water levels of as much as 50 feet exacerbated concerns about future water availability and enhanced migration of saltwater into the aquifer from past oil and gas activities near Burrton and from the Arkansas River. Because Wichita changed water-management strategies and decreased pumping from the Equus Beds aquifer in 1992, water storage in the aquifer recovered by about 50 percent. This recovery is the result of increased reliance on Cheney Reservoir for Wichita water supply, decreased aquifer pumping, and larger than normal precipitation. Accompanying the water-level recovery, the average water-level gradient in the aquifer decreased from about 12 feet per mile in 1992 to about 8 feet per mile in January 2006.\r\n\r\nAn important component of artificial recharge is the water quality of the receiving aquifer and the water being recharged (source water). Water quality within the Little Arkansas River was defined using data from two real-time surface-water-quality sites and discrete samples. Water quality in the Equus Beds aquifer was defined using sample analyses collected at 38 index sites, each with a well completed in the shallow and deep parts of the Equus Beds aquifer. In addition, data were collected at diversion well sites, recharge sites, background wells, and prototype wells for the aquifer storage and recovery project. Samples were analyzed for major ions, nutrients, trace metals, radionuclides, organic compounds, and bacterial and viral indicators.\r\n\r\nWater-quality constituents of concern for artificial recharge are those constituents that frequently (more than 5 percent of samples) may exceed Federal [U.S. Environmental Protection Agency (USEPA)] and State drinking-water criteria in water samples from the receiving aquifer or in samples from the source water. Constituents of concern include major ions (sulfate and chloride), nutrients (nitrite plus nitrate), trace elements (arsenic, iron, and manganese), organic compounds (atrazine), and fecal bacterial indicators. This report describes the water quality in the Equus Beds aquifer and the Little Arkansas River from 1995 through 2005 before implementation of large-scale recharge activities.\r\n\r\nSulfate concentrations in water samples from the Little Arkansas River rarely exceeded Federal secondary drinking water regulation (SDWR) of 250 milligrams per liter (mg/L). Sulfate concentrations in groundwater were exceeded in about 18 percent of the wells in the shallow (less than or equal to 80 feet deep) parts of the aquifer and in about 13 percent of the wells in the deep parts the aquifer. Larger sulfate concentrations were associated with parts of the aquifer with the largest water-level declines. Water-quality changes in the Equus Beds aquifer likely were caused by dewatering and oxidation of aquifer material that subsequently resulted in increased sulfate concentrations as water levels recovered.\r\n\r\nThe primary sources of chloride to the Equus Beds aquifer are from past oil and gas activities near Burrton and from the Arkansas River. Computed chloride concentrations in the Little Arkansas River near Halstead exceeded the Federal SDWR of 250 mg/L about 27 percent of the time (primarily during low-flow conditions). Chloride concentrations in groundwater exceeded 250 mg/L in about 8 percent or less of the study area, primarily near Burrton and along the Arkansas River. Chloride in groundwater near Burrton has migrated downgradient about 3 miles during the past 40 to 45 years. The downward and horizontal migration of the chloride is controlled by the hydraulic gradient in the aquifer, dispersion of chloride, and discontinuous clay layers that can inhibit further downward migration. Chloride in the shallow parts of the Equus Beds","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105023","collaboration":"Prepared in cooperation with the City of Wichita, Kansas, as part of the Equus Beds Groundwater Recharge Project","usgsCitation":"Ziegler, A., Hansen, C.V., and Finn, D.A., 2010, Water Quality in the Equus Beds Aquifer and the Little Arkansas River Before Implementation of Large-Scale Artificial Recharge, South-Central Kansas, 1995-2005: U.S. Geological Survey Scientific Investigations Report 2010-5023, Report: vii, 143 p. ; oversized figure (PDF), https://doi.org/10.3133/sir20105023.","productDescription":"Report: vii, 143 p. ; oversized figure (PDF)","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1995-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":118645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5023.jpg"},{"id":13607,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5023/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.83333333333333,37.666666666666664 ], [ -97.83333333333333,38.333333333333336 ], [ -97.33333333333333,38.333333333333336 ], [ -97.33333333333333,37.666666666666664 ], [ -97.83333333333333,37.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd397","contributors":{"authors":[{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":305071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Cristi V. chansen@usgs.gov","contributorId":435,"corporation":false,"usgs":true,"family":"Hansen","given":"Cristi","email":"chansen@usgs.gov","middleInitial":"V.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":305072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Daniel A.","contributorId":86064,"corporation":false,"usgs":true,"family":"Finn","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305073,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98357,"text":"ofr20101071 - 2010 - Summary of Organic Wastewater Compounds and Other Water-Quality Data in Charles County, Maryland, October 2007 through August 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"ofr20101071","displayToPublicDate":"2010-05-05T00:00:00","publicationYear":"2010","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":"2010-1071","title":"Summary of Organic Wastewater Compounds and Other Water-Quality Data in Charles County, Maryland, October 2007 through August 2008","docAbstract":"The U.S. Geological Survey, in cooperation with the government of Charles County, Maryland, and the Port Tobacco River Conservancy, Inc., conducted a water-quality reconnaissance and sampling investigation of the Port Tobacco River and Nanjemoy Creek watersheds in Charles County during October 2007 and June-August 2008. Samples were collected and analyzed for major ions, nutrients, organic wastewater compounds, and other selected constituents from 17 surface-water sites and 11 well sites (5 of which were screened in streambed sediments to obtain porewater samples). Most of the surface-water sites were relatively widely spaced throughout the Port Tobacco River and Nanjemoy Creek watersheds, although the well sites and some associated surface-water sites were concentrated in one residential community along the Port Tobacco River that has domestic septic systems. Sampling for enterococci bacteria was conducted by the Port Tobacco River Conservancy, Inc., at each site to coordinate with the sampling for chemical constituents. The purpose of the coordinated sampling was to determine correlations between historically high, in-stream bacteria counts and human wastewater inputs. Chemical data for the groundwater, porewater, and surface-water samples are presented in this report.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101071","collaboration":"Prepared in cooperation with the Charles County Government\r\nand the Port Tobacco River Conservancy, Inc.","usgsCitation":"Lorah, M.M., Soeder, D.J., and Teunis, J.A., 2010, Summary of Organic Wastewater Compounds and Other Water-Quality Data in Charles County, Maryland, October 2007 through August 2008: U.S. Geological Survey Open-File Report 2010-1071, v, 19 p.; 3 Appendices, https://doi.org/10.3133/ofr20101071.","productDescription":"v, 19 p.; 3 Appendices","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-10-01","temporalEnd":"2008-08-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118647,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1071.jpg"},{"id":13604,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1071/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.25,38.3675 ], [ -77.25,38.6175 ], [ -76.86749999999999,38.6175 ], [ -76.86749999999999,38.3675 ], [ -77.25,38.3675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db6994da","contributors":{"authors":[{"text":"Lorah, Michelle M. 0000-0002-9236-587X mmlorah@usgs.gov","orcid":"https://orcid.org/0000-0002-9236-587X","contributorId":1437,"corporation":false,"usgs":true,"family":"Lorah","given":"Michelle","email":"mmlorah@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soeder, Daniel J.","contributorId":70040,"corporation":false,"usgs":true,"family":"Soeder","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teunis, Jessica A. jateunis@usgs.gov","contributorId":5657,"corporation":false,"usgs":true,"family":"Teunis","given":"Jessica","email":"jateunis@usgs.gov","middleInitial":"A.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305067,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98358,"text":"sir20105010 - 2010 - Summary of Hydrologic Data for the Tuscarawas River Basin, Ohio, with an Annotated Bibliography","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20105010","displayToPublicDate":"2010-05-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5010","title":"Summary of Hydrologic Data for the Tuscarawas River Basin, Ohio, with an Annotated Bibliography","docAbstract":"The Tuscarawas River Basin drains approximately 2,600 square miles in eastern Ohio and is home to 600,000 residents that rely on the water resources of the basin. This report summarizes the hydrologic conditions in the basin, describes over 400 publications related to the many factors that affect the groundwater and surface-water resources, and presents new water-quality information and a new water-level map designed to provide decisionmakers with information to assist in future data-collection efforts and land-use decisions.\r\n\r\nThe Tuscarawas River is 130 miles long, and the drainage basin includes four major tributary basins and seven man-made reservoirs designed primarily for flood control. The basin lies within two physiographic provinces-the Glaciated Appalachian Plateaus to the north and the unglaciated Allegheny Plateaus to the south. Topography, soil types, surficial geology, and the overall hydrology of the basin were strongly affected by glaciation, which covered the northern one-third of the basin over 10,000 years ago. Within the glaciated region, unconsolidated glacial deposits, which are predominantly clay-rich till, overlie gently sloping Pennsylvanian-age sandstone, limestone, coal, and shale bedrock. Stream valleys throughout the basin are filled with sands and gravels derived from glacial outwash and alluvial processes. The southern two-thirds of the basin is characterized by similar bedrock units; however, till is absent and topographic relief is greater. The primary aquifers are sand- and gravel-filled valleys and sandstone bedrock. These sands and gravels are part of a complex system of aquifers that may exceed 400 feet in thickness and fill glacially incised valleys. Sand and gravel aquifers in this basin are capable of supporting sustained well yields exceeding 1,000 gallons per minute. Underlying sandstones within 300 feet of the surface also provide substantial quantities of water, with typical well yields of up to 100 gallons per minute. Although hydraulic connection between the sandstone bedrock and the sands and gravels in valleys is likely, it has not been assessed in the Tuscarawas River Basin.\r\n\r\nIn 2001, the major land uses in the basin were approximately 40 percent forested, 39 percent agricultural, and 17 percent urban/residential. Between 1992 and 2001, forested land use decreased by 2 percent with correspondingly small increases in agricultural and urban land uses, but from 1980 to 2005, the 13-county area that encompasses the basin experienced a 7.1-percent increase in population. Higher population density and percentages of urban land use were typical of the northern, headwaters parts of the basin in and around the cities of Akron, Canton, and New Philadelphia; the southern area was rural.\r\n\r\nThe basin receives approximately 38 inches of precipitation per year that exits the basin through evapotranspiration, streamflow, and groundwater withdrawals. Recharge to groundwater is estimated to range from 6 to 10 inches per year across the basin. In 2000, approximately 89 percent of the 116 million gallons per day of water used in the basin came from groundwater sources, whereas 11 percent came from surface-water sources. To examine directions of groundwater flow in the basin, a new dataset of water-level contours was developed by the Ohio Department of Natural Resources. The contours were compiled on a map that shows that groundwater flows from the uplands towards the valleys and that the water-level surface mimics surface topography; however, there are areas where data were too sparse to adequately map the water-level surface. Additionally, little is known about deep groundwater that may be flowing into the basin from outside the basin and groundwater interactions with surface-water bodies.\r\n\r\nMany previous reports as well as new data collected as part of this study show that water quality in the streams and aquifers in the Tuscarawas River Basin has been degraded by urban, suburban, and rural ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105010","collaboration":"In cooperation with the Stark-Tuscarawas-Wayne Joint Solid-Waste Management District","usgsCitation":"Haefner, R.J., and Simonson, L.A., 2010, Summary of Hydrologic Data for the Tuscarawas River Basin, Ohio, with an Annotated Bibliography: U.S. Geological Survey Scientific Investigations Report 2010-5010, vii, 115 p. , https://doi.org/10.3133/sir20105010.","productDescription":"vii, 115 p. ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":118648,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5010.jpg"},{"id":13606,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5010/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.16666666666667,40 ], [ -82.16666666666667,41 ], [ -80.83333333333333,41 ], [ -80.83333333333333,40 ], [ -82.16666666666667,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db69950b","contributors":{"authors":[{"text":"Haefner, Ralph J. 0000-0002-4363-9010 rhaefner@usgs.gov","orcid":"https://orcid.org/0000-0002-4363-9010","contributorId":1793,"corporation":false,"usgs":true,"family":"Haefner","given":"Ralph","email":"rhaefner@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonson, Laura A.","contributorId":63110,"corporation":false,"usgs":true,"family":"Simonson","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305070,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200398,"text":"70200398 - 2010 - Depth-dependent sampling to identify short-circuit pathways to public-supply wells in multiple aquifer settings in the United States","interactions":[],"lastModifiedDate":"2018-10-16T14:18:58","indexId":"70200398","displayToPublicDate":"2010-05-01T14:18:43","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Depth-dependent sampling to identify short-circuit pathways to public-supply wells in multiple aquifer settings in the United States","docAbstract":"

Depth-dependent water-quality and borehole flow data were used to determine where and how contamination enters public-supply wells (PSWs) at study sites in different principal aquifers of the United States. At each of three study sites, depth-dependent samples and wellbore flow data were collected from multiple depths in selected PSWs under pumping conditions. The chemistry of these depth-dependent samples, along with samples of the surface discharge from the PSWs, was compared to that of adjacent nested monitoring wells. The results of depth-dependent analyses from sites in Modesto (California), York (Nebraska), and Tampa (Florida) are summarized and compared. Although the exact mechanisms for transport of contaminants to the PSWs varied among these hydrogeologic settings, in all three settings the presence of wells or boreholes or natural preferential flow paths allowed water and contaminants to bypass substantial portions of the aquifer and to reach PSWs or depths in the aquifer more quickly than would have occurred in the absence of these short-circuiting flow paths. The chemistry and flow data from multiple depths was essential to developing an understanding of the dominant flow paths of contaminants to PSW in all three settings. This knowledge contributes to developing effective strategies for monitoring and protection.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0531-2","usgsCitation":"Landon, M.K., Jurgens, B.C., Katz, B.G., Eberts, S.M., Burow, K.R., and Crandall, C.A., 2010, Depth-dependent sampling to identify short-circuit pathways to public-supply wells in multiple aquifer settings in the United States: Hydrogeology Journal, v. 18, no. 3, p. 577-593, https://doi.org/10.1007/s10040-009-0531-2.","productDescription":"17 p.","startPage":"577","endPage":"593","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":358406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-10-20","publicationStatus":"PW","scienceBaseUri":"5c10c715e4b034bf6a7f50b8","contributors":{"authors":[{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katz, Brian G. bkatz@usgs.gov","contributorId":1093,"corporation":false,"usgs":true,"family":"Katz","given":"Brian","email":"bkatz@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":748721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. 0000-0001-5138-8293 smeberts@usgs.gov","orcid":"https://orcid.org/0000-0001-5138-8293","contributorId":127844,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra","email":"smeberts@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":748722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crandall, Christy A. crandall@usgs.gov","contributorId":1091,"corporation":false,"usgs":true,"family":"Crandall","given":"Christy","email":"crandall@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":748724,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203121,"text":"70203121 - 2010 - Landscape-scale analyses suggest both nutrient and antipredator advantages to Serengeti herbivore hotspots","interactions":[],"lastModifiedDate":"2019-04-22T12:56:05","indexId":"70203121","displayToPublicDate":"2010-05-01T12:55:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale analyses suggest both nutrient and antipredator advantages to Serengeti herbivore hotspots","docAbstract":"

Mechanistic explanations of herbivore spatial distribution have focused largely on either resource‐related (bottom‐up) or predation‐related (top‐down) factors. We studied direct and indirect influences on the spatial distributions of Serengeti herbivore hotspots, defined as temporally stable areas inhabited by mixed herds of resident grazers. Remote sensing and variation in landscape features were first used to create a map of the spatial distribution of hotspots, which was tested for accuracy against an independent data set of herbivore observations. Subsequently, we applied structural equation modeling to data on soil fertility and plant quality and quantity across a range of sites. We found that hotspots in Serengeti occur in areas that are relatively flat and located away from rivers, sites where ungulates are less susceptible to predation. Further, hotspots tend to occur in areas where hydrology and rainfall create conditions of relatively low‐standing plant biomass, which, coupled with grazing, increases forage quality while decreasing predation risk. Low‐standing biomass and higher leaf concentrations of N, Na, and Mg were strong direct predictors of hotspot occurrence. Soil fertility had indirect effects on hotspot occurrence by promoting leaf Na and Mg. The results indicate that landscape features contribute in direct and indirect ways to influence the spatial distribution of hotspots and that the best models incorporated both resource‐ and predation‐related factors. Our study highlights the collective and simultaneous role of bottom‐up and top‐down factors in determining ungulate spatial distributions.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0739.1","usgsCitation":"Anderson, T., Hopcraft, J.G., Eby, S., Ritchie, M., Grace, J.B., and Olff, H., 2010, Landscape-scale analyses suggest both nutrient and antipredator advantages to Serengeti herbivore hotspots: Ecology, v. 91, no. 5, p. 1519-1529, https://doi.org/10.1890/09-0739.1.","productDescription":"21 p.","startPage":"1519","endPage":"1529","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":475725,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.rug.nl/en/publications/16d55a47-cc8d-457b-9825-b419391a5662","text":"External Repository"},{"id":363109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, T. Michael","contributorId":78077,"corporation":false,"usgs":true,"family":"Anderson","given":"T. Michael","affiliations":[],"preferred":false,"id":761259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopcraft, J. Grant C.","contributorId":214936,"corporation":false,"usgs":false,"family":"Hopcraft","given":"J.","email":"","middleInitial":"Grant C.","affiliations":[],"preferred":false,"id":761260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eby, Stephanie","contributorId":208286,"corporation":false,"usgs":false,"family":"Eby","given":"Stephanie","email":"","affiliations":[{"id":37776,"text":"Department of Marine and Environmental Sciences, Northeastern University, Boston MA","active":true,"usgs":false}],"preferred":false,"id":761261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Mark","contributorId":214937,"corporation":false,"usgs":false,"family":"Ritchie","given":"Mark","email":"","affiliations":[],"preferred":false,"id":761262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olff, Han","contributorId":152505,"corporation":false,"usgs":false,"family":"Olff","given":"Han","affiliations":[],"preferred":false,"id":761264,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}