{"pageNumber":"863","pageRowStart":"21550","pageSize":"25","recordCount":46885,"records":[{"id":80273,"text":"sir20075070 - 2007 - Hydrogeologic investigation, water chemistry analysis, and model delineation of contributing areas for City of Tallahassee public-supply wells, Tallahassee, Florida","interactions":[],"lastModifiedDate":"2023-12-12T21:40:14.731499","indexId":"sir20075070","displayToPublicDate":"2007-08-28T00:00:00","publicationYear":"2007","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":"2007-5070","title":"Hydrogeologic investigation, water chemistry analysis, and model delineation of contributing areas for City of Tallahassee public-supply wells, Tallahassee, Florida","docAbstract":"<p><span>Ground water from the Upper Floridan aquifer is the sole source of water supply for Tallahassee, Florida, and the surrounding area. The City of Tallahassee (the City) currently operates 28 water-supply wells; 26 wells are distributed throughout the City and 2 are located in Woodville, Florida. Most of these wells yield an ample supply of potable water; however, water from several wells has low levels of tetrachloroethylene (PCE). The City removes the PCE from the water by passing it through granular-activated carbon units before distribution. To ensure that water-supply wells presently free of contamination remain clean, it is necessary to understand the ground-water flow system in sufficient detail to protect the contributing areas.</span></p><p><span>Ground-water samples collected from four public-supply wells were analyzed for tritium (</span><sup>3</sup><span>H), chlorofluorocarbons (CFCs), and sulfur hexafluoride (SF</span><sub>6</sub><span>). Using data for the CFC compounds, apparent ground-water ages ranged from 7 to 31 years. For SF</span><sub>6</sub><span>, the apparent ages tended to be about 5 to 10 years younger than those from CFCs. Apparent ages based on the tritium/tritiogenic helium-3 (</span><sup>3</sup><span>H/</span><sup>3</sup><span>He</span><sub>trit</sub><span>) method ranged from 26 to 33 years. The three dating methods indicate that the apparent age of ground water generally decreases from northern to southern Leon County. This southward trend of decreasing ages is consistent with increasing amounts of recharge that occur as ground water moves from north to south.</span><br><span></span></p><p><span>The ground-water age data derived by geochemical and tracer analyses were used in combination with the flow model and particle tracking to determine an effective porosity for the Hawthorn clays and Upper Floridan aquifer. The effective porosities for the Upper Floridan aquifer that resulted in best model matches were averaged to produce an effective porosity of 7 percent, and the effective porosities for the Hawthorn clays that resulted in a match were averaged to produce an effective porosity of 22 percent.</span><br><span></span></p><p><span>Probabilistic contributing areas were determined for 26 City wells using MODFLOW and MODPATH. For each probabilistic contributing area delineated, the model was run 100 times and the results were analyzed statistically. For each of the 100 runs, a different hydraulic conductivity for each of the zones was assigned to the Upper Floridan aquifer. The hydraulic conductivities were generated randomly assuming a lognormal probability distribution; the mean of the distribution was equal to the hydraulic conductivity from the calibrated model.</span><br><span></span></p><p><span>The 5-year time-dependent capture zones (TDCZs), assuming effective porosities of 0.1, 1, and 7 percent for four representative wells, were delineated. The higher probabilities of capture (greater than 40, 60, and 80 percent) were similar for all effective porosities, and the TDCZ delineated using a 7-percent porosity was slightly smaller; the lower probabilities of capture (greater than 10 and 20 percent) showed a large range of variability.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075070","collaboration":"Prepared in cooperation with City of Tallahassee","usgsCitation":"Davis, J., and Katz, B.G., 2007, Hydrogeologic investigation, water chemistry analysis, and model delineation of contributing areas for City of Tallahassee public-supply wells, Tallahassee, Florida: U.S. Geological Survey Scientific Investigations Report 2007-5070, viii, 67 p., https://doi.org/10.3133/sir20075070.","productDescription":"viii, 67 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":192062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10093,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5070/","linkFileType":{"id":5,"text":"html"}},{"id":423458,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81672.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","city":"Tallahassee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.58350936320234,\n              30.642563666390814\n            ],\n            [\n              -84.58350936320234,\n              30.274755026160804\n            ],\n            [\n              -84.05381802164686,\n              30.274755026160804\n            ],\n            [\n              -84.05381802164686,\n              30.642563666390814\n            ],\n            [\n              -84.58350936320234,\n              30.642563666390814\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628d67","contributors":{"authors":[{"text":"Davis, J. Hal","contributorId":53832,"corporation":false,"usgs":true,"family":"Davis","given":"J. Hal","affiliations":[],"preferred":false,"id":292152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":292151,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80262,"text":"ofr20071150 - 2007 - Sidescan-sonar imagery, multibeam bathymetry, and surficial geologic interpretations of the sea floor in Rhode Island Sound, off Sakonnet Point, Rhode Island","interactions":[],"lastModifiedDate":"2025-07-29T18:58:29.426611","indexId":"ofr20071150","displayToPublicDate":"2007-08-28T00:00:00","publicationYear":"2007","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":"2007-1150","title":"Sidescan-sonar imagery, multibeam bathymetry, and surficial geologic interpretations of the sea floor in Rhode Island Sound, off Sakonnet Point, Rhode Island","docAbstract":"<p>The U.S. Geological Survey (USGS) is working with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries and sounds along the northeastern coast of the United States. This report interprets the area covered by NOAA Survey H11320, about 72 km² of sea floor in eastern Rhode Island Sound (RIS), located about 8 km south of Sakonnet Point, Rhode Island (fig. 1). Previous work in RIS includes studies of both sea-floor processes and subsurface geologic framework. McMaster (1960) mapped surficial sediment samples in Narragansett Bay and RIS and McMaster and others (1968) conducted a seismic-reflection survey in Block Island Sound and RIS. O'Hara and Oldale (1980) collected seismic-reflection profiles, sidescan-sonar data, and vibracores in eastern RIS (fig. 2). They interpreted the geologic history, assessed sand and gravel resources, and evaluated the mining impact of these resources. McMaster's (1960) interpretation of the surficial sediment within this study area consisted of sand with several isolated areas of gravel. Several other sediment samples were previously obtained within the study area: three National Oceanographic Data Center (NODC) dredge samples from 1942 consisted of sand and one National Ocean Service (NOS) sample from 1939 was rocky (fig. 2; Poppe and others, 2003). The purpose of this report is to define the sea-floor morphology and sedimentary environments and interpret processes occurring on the sea floor using sidescan-sonar imagery, multibeam bathymetry, and historic seismic-reflection profiles.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071150","usgsCitation":"McMullen, K.Y., Poppe, L., Twomey, E.R., Danforth, W.W., Haupt, T.A., and Crocker, J.M., 2007, Sidescan-sonar imagery, multibeam bathymetry, and surficial geologic interpretations of the sea floor in Rhode Island Sound, off Sakonnet Point, Rhode Island: U.S. Geological Survey Open-File Report 2007-1150, Report: v, 34 p., https://doi.org/10.3133/ofr20071150.","productDescription":"Report: v, 34 p.","numberOfPages":"39","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":10082,"rank":3,"type":{"id":15,"text":"Index 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Center","active":true,"usgs":true}],"preferred":false,"id":292125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twomey, Erin R.","contributorId":44860,"corporation":false,"usgs":true,"family":"Twomey","given":"Erin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":292129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haupt, Todd A.","contributorId":34602,"corporation":false,"usgs":true,"family":"Haupt","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crocker, James M.","contributorId":55094,"corporation":false,"usgs":true,"family":"Crocker","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":292130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":80259,"text":"sim2969 - 2007 - Geologic map of the Craters of the Moon 30' x 60' Quadrangle, Idaho","interactions":[],"lastModifiedDate":"2019-03-04T15:01:26","indexId":"sim2969","displayToPublicDate":"2007-08-25T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2969","title":"Geologic map of the Craters of the Moon 30' x 60' Quadrangle, Idaho","docAbstract":"The Craters of the Moon 30 x 60 minute quadrangle shows the geology of the northern two-thirds of the Craters of the Moon (COM) lava field and volcanic structures of the northern and central parts of the Great Rift volcanic rift zone.  The COM lava field is the largest, predominantly Holocene lava field in the conterminous United States.  The northwest corner of the map shows older sedimentary, intrusive, and volcanic rocks that range in age from Ordovician to Miocene.  These rocks provide evidence of compressional fold and thrust events of the Antler and Sevier orogenies.  Compression was followed by voluminous volcanism represented by the Challis Volcanic Group.  Basin-and-Range faulting followed in Neogene time.\r\n\r\nThe COM lava field covers about 1,600 square kilometers and contains about 30 cubic kilometers of lava flows and associated vent deposits.  Stratigraphic relationships, paleomagnetic studies, and radiocarbon ages indicate that the field formed during eight eruptive periods designated as H, the oldest, to A, the youngest.  Each eruptive period was several hundred years or less in duration and separated from other eruptive periods by non-eruptive recurrence intervals of several hundred to about 3,000 years.  The first eruptive period began about 15,000 carbon-14 years ago and the latest one ended about 2,100 carbon-14 years ago.\r\n\r\nAll available field, paleomagnetic, radiocarbon, and argon-40/argon-39 data are incorporated in this map and they quantitatively refine the volcanic and paleomagnetic history of the pre-Holocene lava fields and the COM lava field.  In a sense, these data determine the 'pulse rate' for Pleistocene and Holocene basaltic volcanism in the area of this map.\r\n\r\nTwenty-three new argon-40/argon-39 geochronologic data reveal a fairly complete and continuous record of basaltic volcanism in the Craters of the Moon 30 x 60 minute quadrangle for the last 500 ka.  The ages cluster into age groupings at ~30 ka, 50-70 ka, 100-125 ka, 260-290 ka, 320-340 ka, and 475 ka.  There are apparent periods of ~30 to 60 ka duration when little or no volcanic activity took place between groups.\r\n\r\nMagnetic polarity and remanent inclination and declination directions for most lava flows in the quadrangle have normal magnetic polarity; they were emplaced during the Brunhes Normal Polarity Chron and are younger than 780,000 years.  Directions of remanent magnetization and the new argon-40/argon-39 ages were used to correlate and approximately date lava flows and lava fields for this map.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sim2969","isbn":"9781411318564","collaboration":"Prepared in cooperation with the National Park Service and the U.S. Bureau of Land Management","usgsCitation":"Kuntz, M., Skipp, B., Champion, D.E., Gans, P.B., VanSistine, D., and Snyders, S.R., 2007, Geologic map of the Craters of the Moon 30' x 60' Quadrangle, Idaho (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2969, Plate: 56 x 44 inches; Pamphlet: iv, 64 p.; Downloads Directory, https://doi.org/10.3133/sim2969.","productDescription":"Plate: 56 x 44 inches; Pamphlet: iv, 64 p.; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":190919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":110739,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81653.htm","linkFileType":{"id":5,"text":"html"},"description":"81653"},{"id":10079,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2007/2969/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":361703,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2007/2969/downloads/pdf/2969_map.pdf","text":"Plate","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":361704,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2007/2969/downloads/pdf/2969_pamphlet_508.pdf","text":"Pamphlet","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":361705,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sim/2007/2969/downloads/","text":"Downloads Directory"}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,43 ], [ -114,43.5 ], [ -113,43.5 ], [ -113,43 ], [ -114,43 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8540","contributors":{"authors":[{"text":"Kuntz, Mel A. 0000-0001-8828-5474","orcid":"https://orcid.org/0000-0001-8828-5474","contributorId":6446,"corporation":false,"usgs":true,"family":"Kuntz","given":"Mel A.","affiliations":[],"preferred":false,"id":292113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skipp, Betty","contributorId":51268,"corporation":false,"usgs":true,"family":"Skipp","given":"Betty","affiliations":[],"preferred":false,"id":292115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":292112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gans, Philip B.","contributorId":66791,"corporation":false,"usgs":false,"family":"Gans","given":"Philip","email":"","middleInitial":"B.","affiliations":[{"id":30783,"text":"Department of Earth Science, University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":292117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VanSistine, D. Paco 0000-0003-1166-2547","orcid":"https://orcid.org/0000-0003-1166-2547","contributorId":61906,"corporation":false,"usgs":true,"family":"VanSistine","given":"D. Paco","affiliations":[],"preferred":false,"id":292116,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snyders, Scott R.","contributorId":33792,"corporation":false,"usgs":true,"family":"Snyders","given":"Scott","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":292114,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":80256,"text":"ds286 - 2007 - Organic Chemical Concentrations and Reproductive Biomarkers in Common Carp (Cyprinus carpio) Collected from Two Areas in Lake Mead, Nevada, May 1999-May 2000","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"ds286","displayToPublicDate":"2007-08-25T00:00:00","publicationYear":"2007","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":"286","title":"Organic Chemical Concentrations and Reproductive Biomarkers in Common Carp (Cyprinus carpio) Collected from Two Areas in Lake Mead, Nevada, May 1999-May 2000","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, National Park Service, Bureau of Reclamation, and Nevada Department of Wildlife, collected and assessed data to determine the general health and reproductive status of common carp (Cyprinus carpio) at two study areas in Lake Mead, Nevada, during May 1999-May 2000. These data will form the basis of interpretations and provide a comparison for continuing studies on the health of the ecosystem in Lake Mead. One study area, Las Vegas Bay, is in the western part of Lake Mead. Las Vegas Bay receives inflows from Las Vegas Wash, which is predominantly tertiary-treated wastewater effluent, and to a lesser extent stormwater runoff from Las Vegas, Henderson, and other nearby communities, and from ground water underlying Las Vegas Valley. The other study area, Overton Arm, is in the northern extent of Lake Mead. Overton Arm receives inflow from the Virgin and Muddy Rivers, which historically are not influenced by wastewater effluent. Both sexes of common carp were collected bimonthly for 12 months using boat-mounted electrofishing gear (a direct electric current is used to temporarily immobilize fish for capture) to determine their health and reproductive status and any relation between these factors and environmental contaminants.\r\n\r\nThis report presents fish tissue chemistry, organic chemical compound concentrations, and biomarker data for 83 male common carp collected from Las Vegas Bay, similar organic chemistry results for 15 male common carp, and similar biomarker measures for 80 male common carp collected from Overton Arm. Tissue chemistry results also are presented for 16 female common carp and biomarker measures for 79 female common carp collected from Las Vegas Bay, and tissue chemistry results for 15 female common carp and biomarker measures for 81 female common carp collected from Overton Arm.\r\n\r\nThirty-three organic chemical compounds plus total concentrations for four groups of compounds (chlordanes, polychlorinated biphenyls [PCBs], brominated diphenyl ethers [BDEs], and triclosans) were analyzed from extracts of whole-body tissue using gas chromatography/mass spectrometry in male common carp from Las Vegas Bay during May 1999 through May 2000. All 33 compounds were detected in at least one sample of whole-body tissue from male common carp collected in Las Vegas Bay. In Overton Arm, 37 organic compounds plus total concentrations of three groups of compounds (PCBs, BDEs, and triclosans) were analyzed in male common carp where 20 (54 percent) of the compounds were detected. Sixteen of the 33 compounds detected in male common carp from Las Vegas Bay and 10 compounds detected in males from Overton Arm have the potential to disrupt the endocrine system in fish in Lake Mead. During May and June 1999, the mean concentration of all organic compounds detected in male common carp was 670 micrograms per kilogram from Las Vegas Bay and 109 micrograms per kilogram from Overton Arm.\r\n\r\nTwenty-seven organic compounds plus total PCBs were analyzed from extracts of whole-body tissue in female common carp collected in Las Vegas Bay and Overton Arm during May 1999. Twenty-four (86 percent) of these compounds were detected in at least one sample of whole-body tissue from female common carp collected from Las Vegas Bay while 10 (36 percent) chemical compounds were detected in female common carp from Overton Arm during that same period. Median concentrations of all chemical compounds were higher in female common carp from Las Vegas Bay compared to those collected from Overton Arm except Dacthal (DCPA), which was similar between sites.\r\n\r\nBiomarker measures obtained for male and female common carp include gonadosomatic index (percentage of gonad weight to total body weight), plasma vitellogenin (a phospholipid protein normally produced by female common carp and other oviparous fish), and condition factor [body weight/(fork length)3]. Biomarker measures for male c","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds286","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Goodbred, S.L., Leiker, T.J., Patiño, R., Jenkins, J.A., Denslow, N., Orsak, E., and Rosen, M.R., 2007, Organic Chemical Concentrations and Reproductive Biomarkers in Common Carp (Cyprinus carpio) Collected from Two Areas in Lake Mead, Nevada, May 1999-May 2000: U.S. Geological Survey Data Series 286, Report: vi, 19 p.; Appendix, https://doi.org/10.3133/ds286.","productDescription":"Report: vi, 19 p.; Appendix","additionalOnlineFiles":"Y","temporalStart":"1999-05-01","temporalEnd":"2000-05-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":190768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10076,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2007/286/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.16666666666667,35.416666666666664 ], [ -115.16666666666667,36.75 ], [ -113.83333333333333,36.75 ], [ -113.83333333333333,35.416666666666664 ], [ -115.16666666666667,35.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aeee4b07f02db691113","contributors":{"authors":[{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":292103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leiker, Thomas J.","contributorId":47805,"corporation":false,"usgs":true,"family":"Leiker","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":292105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patiño, Reynaldo","contributorId":58359,"corporation":false,"usgs":true,"family":"Patiño","given":"Reynaldo","affiliations":[],"preferred":false,"id":292106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","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":292104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denslow, Nancy D.","contributorId":72831,"corporation":false,"usgs":true,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":292107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orsak, Erik","contributorId":92763,"corporation":false,"usgs":true,"family":"Orsak","given":"Erik","affiliations":[],"preferred":false,"id":292108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292102,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":80253,"text":"ds282 - 2007 - Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"ds282","displayToPublicDate":"2007-08-24T00:00:00","publicationYear":"2007","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":"282","title":"Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2005","docAbstract":"Suspended-sediment concentration data were collected by the U.S. Geological Survey in San Francisco Bay during water year 2005 (October 1, 2004-September 30, 2005). Optical sensors and water samples were used to monitor suspended-sediment concentration at two sites in Suisun Bay, three sites in San Pablo Bay, two sites in Central San Francisco Bay, and three sites in South San Francisco Bay. Sensors were positioned at two depths at most sites. Water samples were collected periodically and analyzed for concentrations of suspended sediment. The results of the analyses were used to calibrate the output of the optical sensors so that a record of suspended-sediment concentrations could be derived. This report presents the data-collection methods used and summarizes, in graphs, the suspended-sediment concentration data collected from October 2004 through September 2005. Calibration curves and plots of the processed data for each sensor also are presented.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds282","collaboration":"Prepared in cooperation with the CALFED Bay-Delta Authority and the U.S. Army Corps of Engineers, San Francisco District","usgsCitation":"Buchanan, P.A., and Lionberger, M., 2007, Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2005: U.S. Geological Survey Data Series 282, vi, 46 p., https://doi.org/10.3133/ds282.","productDescription":"vi, 46 p.","additionalOnlineFiles":"Y","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":195727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10073,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2007/282/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.58333333333333,37.25 ], [ -122.58333333333333,38.25 ], [ -121.75,38.25 ], [ -121.75,37.25 ], [ -122.58333333333333,37.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db6994a0","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lionberger, Megan A.","contributorId":29904,"corporation":false,"usgs":true,"family":"Lionberger","given":"Megan A.","affiliations":[],"preferred":false,"id":292099,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80248,"text":"ofr20071060 - 2007 - Paleoenvironmental Assessment and Deglacial Chronology of the Onondaga Trough, Onondaga County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:19","indexId":"ofr20071060","displayToPublicDate":"2007-08-22T00:00:00","publicationYear":"2007","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":"2007-1060","title":"Paleoenvironmental Assessment and Deglacial Chronology of the Onondaga Trough, Onondaga County, New York","docAbstract":"Introduction\r\n\r\nThe U.S. Geological Survey, in cooperation with the Onondaga Lake Partnership and Onondaga Environmental Institute, has been studying the hydrogeology of the Onondaga Trough since 2002 to determine the movement and concentration of naturally occurring brine in the glacial valley-fill aquifer. Numerous shallow and deep test holes have been drilled to determine the glacial and water-quality stratigraphy in the Onondaga Trough. Organic materials were recovered from the Onondaga Creek, Ninemile Creek, and Harbor Brook valleys, and from lakebed sediments in Onondaga Lake (fig. 1) and age-dated with carbon-isotope analysis techniques. This report summarizes the carbon-isotope data collected from 1996 through 2006 in the Onondaga Trough. The results of these analyses provide a means to understand the deglaciation of the watershed and the development of the watershed from barren glacial sediment to a forested ecosystem.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071060","collaboration":"Prepared in cooperation with Onondaga Lake Partnership and Onondaga Environmental Institute","usgsCitation":"Kappel, W.M., and Teece, M.A., 2007, Paleoenvironmental Assessment and Deglacial Chronology of the Onondaga Trough, Onondaga County, New York: U.S. Geological Survey Open-File Report 2007-1060, 12 p., https://doi.org/10.3133/ofr20071060.","productDescription":"12 p.","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":192895,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10068,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1060/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.33333333333333,42.75 ], [ -76.33333333333333,43.166666666666664 ], [ -76.08333333333333,43.166666666666664 ], [ -76.08333333333333,42.75 ], [ -76.33333333333333,42.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689ca7","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teece, Mark A.","contributorId":107382,"corporation":false,"usgs":true,"family":"Teece","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292085,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80246,"text":"ds284 - 2007 - Selected micrometeorological, soil-moisture, and evapotranspiration data at Amargosa Desert Research Site in Nye County near Beatty, Nevada, 2001-05","interactions":[],"lastModifiedDate":"2020-01-26T10:35:24","indexId":"ds284","displayToPublicDate":"2007-08-22T00:00:00","publicationYear":"2007","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":"284","title":"Selected micrometeorological, soil-moisture, and evapotranspiration data at Amargosa Desert Research Site in Nye County near Beatty, Nevada, 2001-05","docAbstract":"<p>Selected micrometeorological and soil-moisture data were collected at the Amargosa Desert Research Site adjacent to a low-level radio-active waste and hazardous chemical waste facility near Beatty, Nevada, 2001-05. Evapotranspiration data were collected from February 2002 through the end of December 2005. Data were col-lected in support of ongoing research to improve the understanding of hydrologic and contaminant-transport processes in arid environments. Micrometeorological data include solar radiation, net radiation, air temperature, relative humidity, saturated and ambient vapor pressure, wind speed and direction, barometric pressure, precipitation, near-surface soil temperature, soil-heat flux and soil-water content. All micrometeorological data were collected using a 10-second sampling interval by data loggers that output daily and hourly mean values. Daily maximum and minimum values are based on hourly mean values. Precipitation data output includes daily and hourly totals. Selected soil-moisture profiles at depth include periodic measurements of soil volumetric water-content measurements at nine neutron-probe access tubes to depths ranging from 5.25 to 29.25 meters. Evapotranspiration data include measurement of daily evapotranspiration and 15-minute fluxes of the four principal energy budget components of latent-heat flux, sensible-heat flux, soil-heat flux, and net radiation. Other data collected and used in equations to determine evapotranspiration include temperature and water content of soil, temperature and vapor pressure of air, and covariance values. Evapotranspiration and flux estimates during 15-minute intervals were calculated at a 0.1-second execution interval using the eddy covariance method. Data files included in this report contain the complete micrometeorological, soil-moisture, and evapotranspiration field data sets. These data files are presented in tabular Excel spreadsheet format. This report highlights selected data contained in the computer generated data files using figures, tables, and brief discussions. Instrumentation used for data collection also is described. Water-content profiles are shown to demonstrate variability of water content with depth. Time-series data are plotted to illustrate temporal variations in micrometeorological, soil-water content, and evapotranspiration data.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds284","usgsCitation":"Johnson, M.J., Mayers, C.J., Garcia, C.A., and Andraski, B.J., 2007, Selected micrometeorological, soil-moisture, and evapotranspiration data at Amargosa Desert Research Site in Nye County near Beatty, Nevada, 2001-05: U.S. Geological Survey Data Series 284, Report: vi, 29 p.; 13 Appendices, https://doi.org/10.3133/ds284.","productDescription":"Report: vi, 29 p.; 13 Appendices","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":195750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10066,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2007/284/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","county":"Nye County","city":"Beatty, NV","otherGeospatial":"Amargosa Desert Research Site","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.25,36 ], [ -117.25,37 ], [ -115.75,37 ], [ -115.75,36 ], [ -117.25,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa7f5","contributors":{"authors":[{"text":"Johnson, Michael J. johnsonm@usgs.gov","contributorId":2282,"corporation":false,"usgs":true,"family":"Johnson","given":"Michael","email":"johnsonm@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":292079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":94745,"corporation":false,"usgs":true,"family":"Mayers","given":"C.","email":"cjmayers@usgs.gov","middleInitial":"Justin","affiliations":[],"preferred":false,"id":292081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":292080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80243,"text":"sir20075153 - 2007 - Continuous water-quality monitoring and regression analysis to estimate constituent concentrations and loads in the Sheyenne River, North Dakota, 1980-2006","interactions":[],"lastModifiedDate":"2017-10-14T14:08:48","indexId":"sir20075153","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2007","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":"2007-5153","title":"Continuous water-quality monitoring and regression analysis to estimate constituent concentrations and loads in the Sheyenne River, North Dakota, 1980-2006","docAbstract":"This report presents the results of a study by the U.S. Geological Survey, done in cooperation with the North Dakota State Water Commission, to estimate water-quality constituent concentrations at seven sites on the Sheyenne River, N. Dak. Regression analysis of water-quality data collected in 1980-2006 was used to estimate concentrations for hardness, dissolved solids, calcium, magnesium, sodium, and sulfate. The explanatory variables examined for the regression relations were continuously monitored streamflow, specific conductance, and water temperature. For the conditions observed in 1980-2006, streamflow was a significant explanatory variable for some constituents. Specific conductance was a significant explanatory variable for all of the constituents, and water temperature was not a statistically significant explanatory variable for any of the constituents in this study.\r\n\r\nThe regression relations were evaluated using common measures of variability, including R2, the proportion of variability in the estimated constituent concentration explained by the explanatory variables and regression equation. R2 values ranged from 0.784 for calcium to 0.997 for dissolved solids. The regression relations also were evaluated by calculating the median relative percentage difference (RPD) between measured constituent concentration and the constituent concentration estimated by the regression equations. Median RPDs ranged from 1.7 for dissolved solids to 11.5 for sulfate. The regression relations also may be used to estimate daily constituent loads.\r\n\r\nThe relations should be monitored for change over time, especially at sites 2 and 3 which have a short period of record. In addition, caution should be used when the Sheyenne River is affected by ice or when upstream sites are affected by isolated storm runoff. Almost all of the outliers and highly influential samples removed from the analysis were made during periods when the Sheyenne River might be affected by ice.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075153","collaboration":"Prepared in cooperation with the North Dakota State Water Commission","usgsCitation":"Ryberg, K.R., 2007, Continuous water-quality monitoring and regression analysis to estimate constituent concentrations and loads in the Sheyenne River, North Dakota, 1980-2006: U.S. Geological Survey Scientific Investigations Report 2007-5153, v, 22 p., https://doi.org/10.3133/sir20075153.","productDescription":"v, 22 p.","onlineOnly":"Y","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":125707,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5153.jpg"},{"id":10063,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5153/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Dakota","otherGeospatial":"Sheyenne River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101,46 ], [ -101,48.5 ], [ -96.5,48.5 ], [ -96.5,46 ], [ -101,46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af3e4b07f02db6919d4","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292072,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80239,"text":"ofr20071180 - 2007 - Organic geochemistry of sediments in nearshore areas of the Mississippi and Atchafalaya Rivers: I. General organic characterization","interactions":[],"lastModifiedDate":"2022-06-27T21:49:49.594137","indexId":"ofr20071180","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2007","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":"2007-1180","title":"Organic geochemistry of sediments in nearshore areas of the Mississippi and Atchafalaya Rivers: I. General organic characterization","docAbstract":"This report presents results on the general organic characteristics of sediment cores collected from the coastal zone of the Mississippi River system, including distributions of the important nutrient elements (C, N, P, and S). This was part of a larger study conducted from 2001-2005 to examine the delivery of sediment-associated contaminants to the Gulf of Mexico by the Mississippi River system, funded by the USGS Coastal and Marine Geology Program. Companion reports emphasize organic contaminants (Rosenbauer and others, 2006), and metals (Swarzenski and others, 2006). The level of contamination within the deltaic system of the Mississippi River system was determined through the collection of sediment cores from interdistributary bays, and offshore in the Gulf of Mexico, including the zone of hypoxia. Results provide the basis for reconstructing contaminant inventories from which to develop historic perspectives on nutrient loading and hypoxia, and to better understand how sediment-hosted contaminants either directly or indirectly move through biota and ultimately affect ecosystem health.\r\n\r\nConcentrations of C, N, P, and S in sediments varied by a factor of 10 between sites, and in down core profiles. Nearshore cores collected in 2001 proved to have erratic downcore C, N, P, and S profiles and sediment deposition rates, suggesting a high energy regime controlled more by variability in river flow rather than by geochemical processes and reactions within the system. These results focused further coring activities further offshore. Atomic C/N ratios suggest that organic matter deposited at all sites is a mix of microbial (algal) and terrestrial (vascular plant) remains, but with algal material dominant. Concentrations of total sulfur in sediments from cores in the zone of hypoxia were often higher than those in nearby zones with oxic water columns. Corresponding atomic C/S ratios were typically lower in sediments from sites in the zone of hypoxia compared to nearby sites with oxic water columns, and thus atomic C/S values may be useful as a proxy for identifying sites impacted by hypoxic conditions in the water column and for examining historical trends in hypoxia. At one site examined in this study, maximum hypoxic conditions were observed in the mid 1960's. The organic elemental composition (C, N, P, and S) of sediments was also used to guide sample selection for contaminant analysis, and to normalize the contaminant data to organic C content of the sediments.\r\n\r\nDissolved hydrocarbon gases in sediments showed a dominance of methane, but identifiable concentrations of ethane and hexane, and trace concentrations of propane, butane, and pentane were also detected. All dissolved gases except hexane were dominated by 'bound' gas, gas released only after agitation of the sediment in a blender. Hexane, in contrast was observed mostly as free gas, determined by headspace analysis.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071180","usgsCitation":"Orem, W.H., Rosenbauer, R.J., Swarzenski, P.W., Lerch, H.E., Corum, M., and Bates, A.L., 2007, Organic geochemistry of sediments in nearshore areas of the Mississippi and Atchafalaya Rivers: I. General organic characterization: U.S. Geological Survey Open-File Report 2007-1180, 67 p., https://doi.org/10.3133/ofr20071180.","productDescription":"67 p.","onlineOnly":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":192210,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402570,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81622.htm","linkFileType":{"id":5,"text":"html"}},{"id":10058,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1180/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River, Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.669921875,\n              28.8927788645183\n            ],\n            [\n              -88.802490234375,\n              28.8927788645183\n            ],\n            [\n              -88.802490234375,\n              29.92637417863576\n            ],\n            [\n              -91.669921875,\n              29.92637417863576\n            ],\n            [\n              -91.669921875,\n              28.8927788645183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b12e4b07f02db6a2f69","contributors":{"authors":[{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lerch, Harry E. tlerch@usgs.gov","contributorId":600,"corporation":false,"usgs":true,"family":"Lerch","given":"Harry","email":"tlerch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":292060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":292062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bates, Anne L. 0000-0002-4875-4675 abates@usgs.gov","orcid":"https://orcid.org/0000-0002-4875-4675","contributorId":2789,"corporation":false,"usgs":true,"family":"Bates","given":"Anne","email":"abates@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292063,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":80238,"text":"ofr20071240 - 2007 - Legacy mercury in Alviso Slough, south San Francisco Bay, California: Concentration, speciation and mobility","interactions":[],"lastModifiedDate":"2021-09-01T19:41:05.962082","indexId":"ofr20071240","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2007","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":"2007-1240","title":"Legacy mercury in Alviso Slough, south San Francisco Bay, California: Concentration, speciation and mobility","docAbstract":"Mercury (Hg) is a significant contaminant in the waters, sediment and biota of San Francisco Bay, largely resulting from extensive historic regional mining activities. Alviso Slough represents one of the most mercury contaminated waterways entering south San Francisco Bay, as it is associated with the drainage of the New Almaden mercury mining district. Wetland habitat restoration of former salt manufacturing ponds adjacent to Alviso Slough is currently being planned. One management scenario being considered is a levee breach between Alviso Slough and Pond A8, which will allow reconnection of the salt pond with the tidal slough. This action is projected to increase the tidal prism within Alviso Slough and result in some degree of sediment remobilization as the main channel deepens and widens. The focus of the current study is to assess: a) the current mercury species composition and concentration in sediments within the Alviso Slough main channel and its associated fringing marsh plain, b) how much of each mercury species will be mobilized as a result of projected channel deepening and widening, and c) potential changes in inorganic reactive mercury bioavailability (for conversion to toxic methylmercury) associated with the mobilized sediment fraction. The current report details the field sampling approach and all laboratory analyses conducted, as well as provides the complete dataset associated with this project including a) a quantitative assessment of mercury speciation (total mercury, reactive mercury and methylmercury), b) estimates of the quantity of sediment and mercury mobilized based on 20-foot and 40-foot levee wall notch scenarios, and c) results from a sediment scour experiment examining the changes in the reactive mercury pool under four treatment conditions (high / low salinity and oxic / anoxic water). Ancillary sediment data also collected and reported herein include bulk density, organic content, magnetic susceptibility, percent dry weight, grain size, pH, oxidation-reduction potential, core photography, and detailed lithographic descriptions.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071240","usgsCitation":"Marvin-DiPasquale, M., and Cox, M.H., 2007, Legacy mercury in Alviso Slough, south San Francisco Bay, California: Concentration, speciation and mobility: U.S. Geological Survey Open-File Report 2007-1240, vi, 99 p., https://doi.org/10.3133/ofr20071240.","productDescription":"vi, 99 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192114,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10057,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1240/","linkFileType":{"id":5,"text":"html"}},{"id":388750,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81621.htm"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.728271484375,\n              37.87485339352928\n            ],\n            [\n              -122.22290039062499,\n              37.33522435930639\n            ],\n            [\n              -121.871337890625,\n              37.37015718405753\n            ],\n            [\n              -121.981201171875,\n              37.68382032669382\n            ],\n            [\n              -122.15698242187499,\n              38.004819966413194\n            ],\n            [\n              -122.728271484375,\n              37.87485339352928\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a61d0","contributors":{"authors":[{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":292057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Marisa H.","contributorId":52146,"corporation":false,"usgs":true,"family":"Cox","given":"Marisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":292056,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80237,"text":"ofr20071212 - 2007 - Interim Summary: Nesting Counts of Ospreys and Brown Pelicans in Northwestern Mexico, 2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20071212","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2007","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":"2007-1212","title":"Interim Summary: Nesting Counts of Ospreys and Brown Pelicans in Northwestern Mexico, 2006","docAbstract":"The distribution and abundance of nesting populations of California brown pelicans (Pelecanus occidentalis californicus) and ospreys (Pandion haliaetus) were documented in 2006 in northwestern Mexico. For ospreys only, the 2006 data were compared to population estimates from two previous surveys (one conducted in 1977 and another conducted in the period 1992-1993). Overall, the total osprey nesting population increased from 1977 to 1992-1993 and then only changed slightly by 2006, but included regions with localized declines, increases, and stable populations. Preliminary population estimates for California brown pelicans suggest a large and apparently healthy breeding population.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071212","usgsCitation":"Henny, C.J., and Anderson, D.W., 2007, Interim Summary: Nesting Counts of Ospreys and Brown Pelicans in Northwestern Mexico, 2006: U.S. Geological Survey Open-File Report 2007-1212, iii, 15 p., https://doi.org/10.3133/ofr20071212.","productDescription":"iii, 15 p.","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":190525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10056,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1212/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118,22 ], [ -118,34 ], [ -106,34 ], [ -106,22 ], [ -118,22 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e0a9e","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":292054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Daniel W.","contributorId":74345,"corporation":false,"usgs":false,"family":"Anderson","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":292055,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80242,"text":"tm6E3 - 2007 - MMA, A Computer Code for Multi-Model Analysis","interactions":[],"lastModifiedDate":"2012-02-02T00:14:19","indexId":"tm6E3","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-E3","title":"MMA, A Computer Code for Multi-Model Analysis","docAbstract":"This report documents the Multi-Model Analysis (MMA) computer code. MMA can be used to evaluate results from alternative models of a single system using the same set of observations for all models. As long as the observations, the observation weighting, and system being represented are the same, the models can differ in nearly any way imaginable. For example, they may include different processes, different simulation software, different temporal definitions (for example, steady-state and transient models could be considered), and so on. The multiple models need to be calibrated by nonlinear regression. Calibration of the individual models needs to be completed before application of MMA.\r\n\r\nMMA can be used to rank models and calculate posterior model probabilities. These can be used to\r\n(1) determine the relative importance of the characteristics embodied in the alternative models,\r\n(2) calculate model-averaged parameter estimates and predictions, and\r\n(3) quantify the uncertainty of parameter estimates and predictions in a way that integrates the variations represented by the alternative models.\r\n\r\nThere is a lack of consensus on what model analysis methods are best, so MMA provides four default methods. Two are based on Kullback-Leibler information, and use the AIC (Akaike Information Criterion) or AICc (second-order-bias-corrected AIC) model discrimination criteria. The other two default methods are the BIC (Bayesian Information Criterion) and the KIC (Kashyap Information Criterion) model discrimination criteria. Use of the KIC criterion is equivalent to using the maximum-likelihood Bayesian model averaging (MLBMA) method. AIC, AICc, and BIC can be derived from Frequentist or Bayesian arguments. The default methods based on Kullback-Leibler information have a number of theoretical advantages, including that they tend to favor more complicated models as more data become available than do the other methods, which makes sense in many situations.\r\n\r\nMany applications of MMA will be well served by the default methods provided. To use the default methods, the only required input for MMA is a list of directories where the files for the alternate models are located.\r\n\r\nEvaluation and development of model-analysis methods are active areas of research. To facilitate exploration and innovation, MMA allows the user broad discretion to define alternatives to the default procedures. For example, MMA allows the user to (a) rank models based on model criteria defined using a wide range of provided and user-defined statistics in addition to the default AIC, AICc, BIC, and KIC criteria, (b) create their own criteria using model measures available from the code, and (c) define how each model criterion is used to calculate related posterior model probabilities.\r\n\r\nThe default model criteria rate models are based on model fit to observations, the number of observations and estimated parameters, and, for KIC, the Fisher information matrix. In addition, MMA allows the analysis to include an evaluation of estimated parameter values. This is accomplished by allowing the user to define unreasonable estimated parameter values or relative estimated parameter values. An example of the latter is that it may be expected that one parameter value will be less than another, as might be the case if two parameters represented the hydraulic conductivity of distinct materials such as fine and coarse sand. Models with parameter values that violate the user-defined conditions are excluded from further consideration by MMA.\r\n\r\nGround-water models are used as examples in this report, but MMA can be used to evaluate any set of models for which the required files have been produced.\r\n\r\nMMA needs to read files from a separate directory for each alternative model considered. The needed files are produced when using the Sensitivity-Analysis or Parameter-Estimation mode of UCODE_2005, or, possibly, the equivalent capability of another program.\r\n\r\nMMA is constructed using ","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 3 of Book 6. Modeling Techniques, Section E. Model Analysis","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/tm6E3","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, U.S. Department of Energy, and International Ground Water Modeling Center, Colorado School of Mines","usgsCitation":"Poeter, E.P., and Hill, M.C., 2007, MMA, A Computer Code for Multi-Model Analysis (Version 1.0): U.S. Geological Survey Techniques and Methods 6-E3, x, 113 p., https://doi.org/10.3133/tm6E3.","productDescription":"x, 113 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":120724,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_e3.gif"},{"id":10062,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2007/06E03/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648c2b","contributors":{"authors":[{"text":"Poeter, Eileen P.","contributorId":78805,"corporation":false,"usgs":true,"family":"Poeter","given":"Eileen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":292071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":292070,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80240,"text":"tm6E2 - 2007 - OPR-PPR, a computer program for assessing data importance to model predictions using linear statistics","interactions":[],"lastModifiedDate":"2020-01-26T10:37:27","indexId":"tm6E2","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-E2","title":"OPR-PPR, a computer program for assessing data importance to model predictions using linear statistics","docAbstract":"The OPR-PPR program calculates the Observation-Prediction (OPR) and Parameter-Prediction (PPR) statistics that can be used to evaluate the relative importance of various kinds of data to simulated predictions. The data considered fall into three categories: (1) existing observations, (2) potential observations, and (3) potential information about parameters. The first two are addressed by the OPR statistic; the third is addressed by the PPR statistic. The statistics are based on linear theory and measure the leverage of the data, which depends on the location, the type, and possibly the time of the data being considered. For example, in a ground-water system the type of data might be a head measurement at a particular location and time. As a measure of leverage, the statistics do not take into account the value of the measurement. As linear measures, the OPR and PPR statistics require minimal computational effort once sensitivities have been calculated. Sensitivities need to be calculated for only one set of parameter values; commonly these are the values estimated through model calibration. OPR-PPR can calculate the OPR and PPR statistics for any mathematical model that produces the necessary OPR-PPR input files. In this report, OPR-PPR capabilities are presented in the context of using the ground-water model MODFLOW-2000 and the universal inverse program UCODE_2005.\r\n\r\nThe method used to calculate the OPR and PPR statistics is based on the linear equation for prediction standard deviation. Using sensitivities and other information, OPR-PPR calculates (a) the percent increase in the prediction standard deviation that results when one or more existing observations are omitted from the calibration data set; (b) the percent decrease in the prediction standard deviation that results when one or more potential observations are added to the calibration data set; or (c) the percent decrease in the prediction standard deviation that results when potential information on one or more parameters is added.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 2 of Book 6. Modeling Techniques, Section E. Model Analysis","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey ","doi":"10.3133/tm6E2","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Tonkin, M.J., Tiedeman, C.R., Ely, D.M., and Hill, M.C., 2007, OPR-PPR, a computer program for assessing data importance to model predictions using linear statistics: U.S. Geological Survey Techniques and Methods 6-E2, viii, 115 p., https://doi.org/10.3133/tm6E2.","productDescription":"viii, 115 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10059,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2007/tm6e2/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf20","contributors":{"authors":[{"text":"Tonkin, Matthew J.","contributorId":26376,"corporation":false,"usgs":true,"family":"Tonkin","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":292065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":292066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":292067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":292064,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80236,"text":"ofr20071116 - 2007 - Coal quality and major, minor, and trace elements in the Powder River, Green River, and Williston basins, Wyoming and North Dakota","interactions":[],"lastModifiedDate":"2018-08-28T16:17:27","indexId":"ofr20071116","displayToPublicDate":"2007-08-17T00:00:00","publicationYear":"2007","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":"2007-1116","title":"Coal quality and major, minor, and trace elements in the Powder River, Green River, and Williston basins, Wyoming and North Dakota","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Wyoming Reservoir Management Group (RMG) of the Bureau of Land Management (BLM) and nineteen independent coalbed methane (CBM) gas operators in the Powder River and Green River Basins in Wyoming and the Williston Basin in North Dakota, collected 963 coal samples from 37 core holes (fig. 1; table 1) between 1999 and 2005. The drilling and coring program was in response to the rapid development of CBM, particularly in the Powder River Basin (PRB), and the needs of the RMG BLM for new and more reliable data for CBM resource estimates and reservoir characterization. The USGS and BLM entered into agreements with the gas operators to drill and core Fort Union coal beds, thus supplying core samples for the USGS to analyze and provide the RMG with rapid, real-time results of total gas desorbed, coal quality, and high pressure methane adsorption isotherm data (Stricker and others, 2006).\r\n\r\nThe USGS determined the ultimate composition of all coal core samples; for selected samples analyses also included proximate analysis, calorific value, equilibrium moisture, apparent specific gravity, and forms of sulfur. Analytical procedures followed those of the American Society of Testing Materials (ASTM; 1998). In addition, samples from three wells (129 samples) were analyzed for major, minor, and trace element contents. Ultimate and proximate compositions, calorific value, and forms of sulfur are fundamental parameters in evaluating the economic value of a coal. Determining trace element concentrations, along with total sulfur and ash yield, is also essential to assess the environmental effects of coal use, as is the suitability of the coal for cleaning, gasification, liquefaction, and other treatments. Determination of coal quality in the deeper part (depths greater than 1,000 to 1,200 ft) of the PRB (Rohrbacher and others, 2006; Luppens and others, 2006) is especially important, because these coals are targeted for future mining and development.\r\n\r\nThis report contains summary tables, histograms, and isopleth maps of coal analyses. Details of the compositional internal variability of the coal beds are based on the continuous vertical sampling of coal sequences, including beds in the deeper part of the PRB. Such sampling allows for close comparisons of the compositions of different parts of coal beds as well as within the same coal beds at different core hole locations within short distances of each other.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071116","usgsCitation":"Stricker, G.D., Flores, R.M., Trippi, M.H., Ellis, M.S., Olson, C.M., Sullivan, J.E., and Takahashi, K., 2007, Coal quality and major, minor, and trace elements in the Powder River, Green River, and Williston basins, Wyoming and North Dakota (Version 1.0): U.S. Geological Survey Open-File Report 2007-1116, Report: iv, 31 p.; 4 Appendices, https://doi.org/10.3133/ofr20071116.","productDescription":"Report: iv, 31 p.; 4 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":194733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10055,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1116/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,40 ], [ -115,49 ], [ -95,49 ], [ -95,40 ], [ -115,40 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de033","contributors":{"authors":[{"text":"Stricker, Gary D. gstricker@usgs.gov","contributorId":87163,"corporation":false,"usgs":true,"family":"Stricker","given":"Gary","email":"gstricker@usgs.gov","middleInitial":"D.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":292052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flores, Romeo M. rflores@usgs.gov","contributorId":71984,"corporation":false,"usgs":true,"family":"Flores","given":"Romeo","email":"rflores@usgs.gov","middleInitial":"M.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":292050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trippi, Michael H. 0000-0002-1398-3427 mtrippi@usgs.gov","orcid":"https://orcid.org/0000-0002-1398-3427","contributorId":941,"corporation":false,"usgs":true,"family":"Trippi","given":"Michael","email":"mtrippi@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellis, Margaret S. mellis@usgs.gov","contributorId":198,"corporation":false,"usgs":true,"family":"Ellis","given":"Margaret","email":"mellis@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":292047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Carol M.","contributorId":103758,"corporation":false,"usgs":true,"family":"Olson","given":"Carol","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":292053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Jonah E.","contributorId":48658,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jonah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":292049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takahashi, Kenneth I.","contributorId":85954,"corporation":false,"usgs":true,"family":"Takahashi","given":"Kenneth I.","affiliations":[],"preferred":false,"id":292051,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":80230,"text":"ofr20071135 - 2007 - Aquatic Community, Hydrologic, and Water-Quality Data for Apopka, Bugg, Rock, and Wekiva Springs, Central Florida, 1931-2006","interactions":[],"lastModifiedDate":"2012-02-02T00:14:08","indexId":"ofr20071135","displayToPublicDate":"2007-08-16T00:00:00","publicationYear":"2007","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":"2007-1135","title":"Aquatic Community, Hydrologic, and Water-Quality Data for Apopka, Bugg, Rock, and Wekiva Springs, Central Florida, 1931-2006","docAbstract":"This report summarizes aquatic community, hydrologic, and water-quality data collected or compiled by the U.S. Geological Survey (USGS) for Apopka, Bugg, Rock, and Wekiva springs from October 1, 2005 to September 30, 2006. Aquatic community data are summarized for quarterly collections of benthic macroinvertebrates, and fishes collected during one sampling event per spring. Hydrologic data for each spring were compiled from the USGS, St. Johns River Water Management District, and a private landowner. Water-quality data collected by the USGS consisted of quarterly psysicochemical, chlorophyll-a, and pheophytin-a measurements; water-quality data were collected on the same days that the benthic macroinvertebrates were sampled.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071135","collaboration":"Prepared in cooperation with the St. Johns River Water Management District","usgsCitation":"Walsh, S.J., and Kroening, S.E., 2007, Aquatic Community, Hydrologic, and Water-Quality Data for Apopka, Bugg, Rock, and Wekiva Springs, Central Florida, 1931-2006: U.S. Geological Survey Open-File Report 2007-1135, vi, 50 p., https://doi.org/10.3133/ofr20071135.","productDescription":"vi, 50 p.","temporalStart":"2005-10-01","temporalEnd":"2006-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192213,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2007/1135/report-thumb.jpg"},{"id":91232,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1135/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db67a0e4","contributors":{"authors":[{"text":"Walsh, Stephen J. 0000-0002-1009-8537 swalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-1009-8537","contributorId":1456,"corporation":false,"usgs":true,"family":"Walsh","given":"Stephen","email":"swalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":292027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroening, Sharon E.","contributorId":67868,"corporation":false,"usgs":true,"family":"Kroening","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":292028,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80223,"text":"sir20075107 - 2007 - Two-Dimensional Flood-Inundation Model of the Flint River at Albany, Georgia","interactions":[],"lastModifiedDate":"2017-01-17T09:48:16","indexId":"sir20075107","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5107","title":"Two-Dimensional Flood-Inundation Model of the Flint River at Albany, Georgia","docAbstract":"Potential flow characteristics of future flooding along a 4.8-mile reach of the Flint River in Albany, Georgia, were simulated using recent digital-elevation-model data and the U.S. Geological Survey finite-element surface-water modeling system for two-dimensional flow in the horizontal plane (FESWMS-2DH). Simulated inundated areas, in 1-foot (ft) increments, were created for water-surface altitudes at the Flint River at Albany streamgage (02352500) from 192.5-ft altitude with a flow of 123,000 cubic feet per second (ft3/s) to 179.5-ft altitude with a flow of 52,500 ft3/s. The model was calibrated to match actual floods during July 1994 and March 2005 and Federal Emergency Management Administration floodplain maps. Continuity checks of selected stream profiles indicate the area near the Oakridge Drive bridge had lower velocities than other areas of the Flint River, which contributed to a rise in the flood-surface profile. The modeled inundated areas were mapped onto monochrome orthophoto imagery for use in planning for future floods. As part of a cooperative effort, the U.S. Geological Survey, the City of Albany, and Dougherty County, Georgia, conducted this study.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075107","collaboration":"Prepared in cooperation with Albany, Georgia, and Dougherty County, Georgia","usgsCitation":"Musser, J.W., and Dyar, T.R., 2007, Two-Dimensional Flood-Inundation Model of the Flint River at Albany, Georgia: U.S. Geological Survey Scientific Investigations Report 2007-5107, vi, 44 p., https://doi.org/10.3133/sir20075107.","productDescription":"vi, 44 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":125735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5107.jpg"},{"id":10043,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5107/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Albany","otherGeospatial":"Flint River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.18333333333334,31.533333333333335 ], [ -84.18333333333334,31.616666666666667 ], [ -84.11666666666666,31.616666666666667 ], [ -84.11666666666666,31.533333333333335 ], [ -84.18333333333334,31.533333333333335 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2fe4b07f02db6165b3","contributors":{"authors":[{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dyar, Thomas R.","contributorId":61911,"corporation":false,"usgs":true,"family":"Dyar","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":292012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80226,"text":"ofr20071123 - 2007 - Magnetotelluric Data, Mid Valley, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:14:08","indexId":"ofr20071123","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-1123","title":"Magnetotelluric Data, Mid Valley, Nevada Test Site, Nevada","docAbstract":"Introduction\r\n\r\nThe United States Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) at their Nevada Site Office (NSO) are addressing ground-water contamination resulting from historical underground nuclear testing through the Environmental Management (EM) program and, in particular, the Underground Test Area (UGTA) project.\r\n\r\nOne issue of concern is the nature of the somewhat poorly constrained pre-Tertiary geology and its effects on ground-water flow. Ground-water modelers would like to know more about the hydrostratigraphy and geologic structure to support a hydrostratigraphic framework model that is under development for the Rainier Mesa/Shoshone Mountain Corrective Action Unit (CAU).\r\n\r\nDuring 2003, the U.S. Geological Survey (USGS), in cooperation with the DOE and NNSA-NSO, collected and processed data at the Nevada Test Site in and near Yucca Flat (YF) to help define the character, thickness, and lateral extent of the pre-Tertiary confining units. We collected 51 magnetotelluric (MT) and audio-magnetotelluric (AMT), stations for that research. In early 2005 we extended that research with 26 additional MT data stations, located on and near Rainier Mesa and Shoshone Mountain (RM-SM). The new stations extended the area of the hydrogeologic study previously conducted in Yucca Flat. This work was done to help refine what is known about the character, thickness, and lateral extent of pre-Tertiary confining units. In particular, a major goal was to define the upper clastic confining unit (UCCU). The UCCU is comprised of late Devonian to Mississippian siliciclastic rocks assigned to the Eleana Formation and Chainman Shale. The UCCU underlies the Yucca Flat area and extends westward towards Shoshone Mountain, southward to Buckboard Mesa, and northward to Rainier Mesa. Late in 2005 we collected another 14 MT stations in Mid Valley and in northern Yucca Flat basin. That work was done to better determine the extent and thickness of the UCCU near the southeastern RM-SM CAU boundary with the southwestern YF CAU, and also in the northern YF CAU. The purpose of this report is to release the MT data at those 14 stations. No interpretation of the data is included here.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071123","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management","usgsCitation":"Williams, J.M., Wallin, E.L., Rodriguez, B.D., Lindsey, C.R., and Sampson, J.A., 2007, Magnetotelluric Data, Mid Valley, Nevada Test Site, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2007-1123, 137 p., https://doi.org/10.3133/ofr20071123.","productDescription":"137 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10046,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1123/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6493cf","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":292019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallin, Erin L.","contributorId":70066,"corporation":false,"usgs":true,"family":"Wallin","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":292021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":292018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Charles R.","contributorId":102963,"corporation":false,"usgs":true,"family":"Lindsey","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":292022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sampson, Jay A.","contributorId":13939,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292020,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":80229,"text":"fs20073064 - 2007 - New Jersey Tide Telemetry System","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"fs20073064","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-3064","title":"New Jersey Tide Telemetry System","docAbstract":"Each summer the population of the barrier-island communities of New Jersey increases by tens of thousands. When a coastal storm threatens these communities, the limited number of bridges and causeways that connect the islands with the mainland become overcrowded, making evacuations from the barrier islands to the mainland difficult. Timely evacuation depends on well-defined emergency evacuation plans used in conjunction with accurate flood forecasting and up to the minute (real-time) tide-level information.\r\n\r\nThe 'Great Nor'easter' storm that struck the coastal areas of New Jersey on December 11, 1992, caused about $270 million in insured damages to public and private property (Dorr and others, 1995). Most of the damage was due to tidal flooding and storm surge, which were especially severe along the back bay areas. Comprehensive and reliable tide-level and meteorological data for the back bays was needed to make accurate flood forecasts.\r\n\r\nCollection of tidal data for the ocean and large bays was adequately covered by the National Oceanic and Atmospheric Administration's National Ocean Service (NOAA's NOS), but in New Jersey little to no data are available for the back-bay areas. The back bays behave quite differently than the ocean as a result of the complex interaction between the winds and the geometry of the inlets and bays. A slow moving Nor'easter can keep tide levels in back bays several feet higher than the ocean tide by not allowing tides to recede, resulting in flooding of bridges and causeways that link the barrier islands to the mainland.\r\n\r\nThe U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Transportation (NJDOT), designed and installed the New Jersey Tide Telemetry System (NJTTS) with assistance from NOAA's NOS in 1997. This system is part of a statewide network of tide gages, weather stations, and stream gages that collect data in real time. The NJTTS supplies comprehensive, reliable real-time tide-level and meteorological data for flood-prone areas along the New Jersey shore and back bays. These data are transmitted to computer base stations located at offices of the National Weather Service, New Jersey State Police (NJSP), NJDOT, county emergency management agencies, other critical decision-making centers, and the World Wide Web (WWW). This fact sheet describes the NJTTS and identifies its benefits.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073064","usgsCitation":"Hoppe, H.L., 2007, New Jersey Tide Telemetry System: U.S. Geological Survey Fact Sheet 2007-3064, 4 p., https://doi.org/10.3133/fs20073064.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":124523,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3064.jpg"},{"id":10049,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3064/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.75,38.75 ], [ -75.75,41.5 ], [ -73.75,41.5 ], [ -73.75,38.75 ], [ -75.75,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697984","contributors":{"authors":[{"text":"Hoppe, Heidi L. hhoppe@usgs.gov","contributorId":1513,"corporation":false,"usgs":true,"family":"Hoppe","given":"Heidi","email":"hhoppe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":292026,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80220,"text":"sir20075086 - 2007 - Evaluation of Ground Water Near Sidney, Western Nebraska, 2004-05","interactions":[],"lastModifiedDate":"2024-09-19T17:28:39.161808","indexId":"sir20075086","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5086","title":"Evaluation of Ground Water Near Sidney, Western Nebraska, 2004-05","docAbstract":"<p>During times of drought, ground water in the Lodgepole Creek area around Sidney, western Nebraska, may be insufficient to yield adequate supplies to private and municipal wells. Alternate sources of water exist in the Cheyenne Tablelands north of the city, but these sources are limited in extent. In 2003, the U.S. Geological Survey and the South Platte Natural Resources District began a cooperative study to evaluate the ground water near Sidney.</p><p>The 122-square-mile study area lies in the south-central part of Cheyenne County. with Lodgepole Creek and Sidney Draw occupying the southern and western parts of the study area and the Cheyenne Tablelands occupying most of the northern part of the study area. Twenty-nine monitoring wells were installed and then sampled in 2004 and 2005 for physical characteristics, nutrients, major ions, and stable isotopes. Some of the 29 sites also were sampled for ground-water age dating.</p><p>Ground water is limited in extent in the tableland areas. Spring 2005 depths to ground water in the tableland areas ranged from 95 to 188 feet. Ground-water flow in the tableland areas primarily is northeasterly. South of a ground-water divide, ground-water flows southeasterly toward Lodgepole Creek Valley.</p><p>Water samples from monitoring wells in the Ogallala Group were predominantly a calcium bicarbonate type, and those from monitoring wells in the Brule Formation were a sodium bicarbonate type. Water samples from monitoring wells open to the Brule sand were primarily a calcium bicarbonate type at shallow depths and a sodium bicarbonate type at deeper depths. Ground water in Lodgepole Creek Valley had a strong sodium signature, which likely results from most of the wells being open to the Brule. Concentrations of sodium and nitrate in ground-water samples from the Ogallala were significantly different than in water samples from the Brule and Brule sand. In addition, significant differences were seen in concentrations of calcium between water samples from the Ogallala and the Brule sand. Median concentrations of nitrate varied by aquifer-2.6 milligrams per liter (Ogallala). 2.1 milligrams per liter (Brute), and 1.3 milligrams per liter (Brule sand).</p><p>The chemistry of the ground water in the study area indicates that ground water flows from recharge areas in both the tableland areas and Lodgepole Creek Valley to discharge areas beyond the study area. Recharging water that percolates into the Ogallala in the tableland areas either enters the Ogallala aquifer. flows along the Ogallala-Brule contact, or enters Brule fractures or sand. Although limited in amount, ground water flowing along the Ogallala-Brule contact or in the Brule fractures or sand appears to be the predominant means by which water moves from the tableland areas to Lodgepole Creek Valley.</p><p>Apparent ground-water ages from chlorofluorocarbon and sulfur hexafluoride data generally were similar. Age of ground water for most monitoring wells located in Lodgepole Creek Valley ranged from the mid- to late 1960s to the early 1990s. Ages of ground water in samples from monitoring wells located in tableland draw areas ranged from the mid-1980s to the early 1990s. Water in the Brule (areas without known secondary permeability structures) or deeper Brule sand aquifer was substantially older than water in the Ogallala aquifer and probably was recharged between 10,000 to 30,000 years before present.</p><p>The stable isotopic data indicate that the ground water in the study area probably originated from precipitation. Ground water in Lodgepole Creek and the tableland areas are similar in chemistry. However, there appears to be limited interaction between ground water within the Ogallala to the north of Sidney and Lodgepole Creek Valley. Available data indicate that although some of the ground water in the Ogallala likely flows across the Ogallala-Brule contact, most of it does not move toward Lodgepole Creek.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075086","collaboration":"Prepared in cooperation with the South Platte Natural Resources District","usgsCitation":"Steele, G.V., Sibray, S., and Quandt, K., 2007, Evaluation of Ground Water Near Sidney, Western Nebraska, 2004-05: U.S. Geological Survey Scientific Investigations Report 2007-5086, vi, 54 p., https://doi.org/10.3133/sir20075086.","productDescription":"vi, 54 p.","temporalStart":"2004-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":422042,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2007/5086/sir20075086.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2007-5086"},{"id":10040,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5086/","linkFileType":{"id":5,"text":"html"}},{"id":190681,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2007/5086/coverthb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105,40 ], [ -105,42.5 ], [ -102,42.5 ], [ -102,40 ], [ -105,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fafe1","contributors":{"authors":[{"text":"Steele, G. V.","contributorId":62543,"corporation":false,"usgs":true,"family":"Steele","given":"G.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":292004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sibray, S. S.","contributorId":63048,"corporation":false,"usgs":true,"family":"Sibray","given":"S. S.","affiliations":[],"preferred":false,"id":292005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quandt, K.A.","contributorId":7781,"corporation":false,"usgs":true,"family":"Quandt","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":292003,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80222,"text":"sir20075105 - 2007 - Water Resources of the Duck River Watershed, Tennessee","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"sir20075105","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5105","title":"Water Resources of the Duck River Watershed, Tennessee","docAbstract":"The U.S. Geological Survey began a study in 2003 in cooperation with the Tennessee Duck River Development Agency to assess the hydrology of the Duck River watershed from Normandy Dam downstream to Columbia, Tennessee. Ground-water-level data, spring-flow, bacteria samples, and streamflow were collected during this study to characterize the hydrology of the study area. The emphasis of this study was to characterize the temporal and spatial variability of the various components that make up streamflow in the Duck River in this study area.\r\n\r\nWater-level data from wells in the study area indicate a good hydraulic connection between the aquifer and the river, with little long-term storage of water following recharge events. Variations in spring flow and ground-water temperature at springs indicate that a large component of water issuing from springs has a short residence time in the aquifer for most of the springs monitored in the study area. Escherichia coli densities in samples collected from springs are similar to concentrations in samples from tributaries and the Duck River.\r\n\r\nBase-flow synoptic discharge measurements, flow-duration analysis of tributary streams, and streamflow accounting analysis indicate the portion of the watershed between Pottsville and Columbia yields more water than the portion between Shelbyville and Pottsville. Base-flow synoptic measurements show that Fountain Creek yields more water than other tributary basins in the study area, whereas base-flow synoptic measurements on the mainstem indicate that streamflow in the Duck River between Pottsville and Columbia could vary by 10 percent as the result of gaining and losing reaches. These results are applicable for average flow conditions that occurred during the study. Flow-duration analysis indicates that tributaries in this part of the watershed have a large component of ground-water contributing base flow. Streamflow accounting analysis for two periods of extended recession was used to determine the contributions of flow releases from Normandy Dam, tributaries, wastewater discharges, and ground-water discharge. The analysis indicated this same section of the mainstem of the Duck River between Pottsville and Columbia had as much as four times more ground-water discharge as sections upstream from Pottsville.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075105","collaboration":"Prepared in cooperation with the Tennessee Duck River Development Agency","usgsCitation":"Knight, R., and Kingsbury, J., 2007, Water Resources of the Duck River Watershed, Tennessee: U.S. Geological Survey Scientific Investigations Report 2007-5105, vi, 46 p., https://doi.org/10.3133/sir20075105.","productDescription":"vi, 46 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121046,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5105.jpg"},{"id":10042,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5105/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.83333333333333,35.333333333333336 ], [ -87.83333333333333,36.166666666666664 ], [ -85.91666666666667,36.166666666666664 ], [ -85.91666666666667,35.333333333333336 ], [ -87.83333333333333,35.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db68884e","contributors":{"authors":[{"text":"Knight, R.R.","contributorId":59063,"corporation":false,"usgs":true,"family":"Knight","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":292010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsbury, J.A.","contributorId":21583,"corporation":false,"usgs":true,"family":"Kingsbury","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":292009,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80224,"text":"sir20075111 - 2007 - A graphical method for estimation of barometric efficiency from continuous data: Concepts and application to a site in the Piedmont, Air Force Plant 6, Marietta, Georgia","interactions":[],"lastModifiedDate":"2024-06-13T21:07:49.656235","indexId":"sir20075111","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5111","title":"A graphical method for estimation of barometric efficiency from continuous data: Concepts and application to a site in the Piedmont, Air Force Plant 6, Marietta, Georgia","docAbstract":"A graphical method that uses continuous water-level and barometric-pressure data was developed to estimate barometric efficiency. A plot of nearly continuous water level (on the y-axis), as a function of nearly continuous barometric pressure (on the x-axis), will plot as a line curved into a series of connected elliptical loops. Each loop represents a barometric-pressure fluctuation. The negative of the slope of the major axis of an elliptical loop will be the ratio of water-level change to barometric-pressure change, which is the sum of the barometric efficiency plus the error.\r\n\r\nThe negative of the slope of the preferred orientation of many elliptical loops is an estimate of the barometric efficiency. The slope of the preferred orientation of many elliptical loops is approximately the median of the slopes of the major axes of the elliptical loops. If water-level change that is not caused by barometric-pressure change does not correlate with barometric-pressure change, the probability that the error will be greater than zero will be the same as the probability that it will be less than zero. As a result, the negative of the median of the slopes for many loops will be close to the barometric efficiency.\r\n\r\nThe graphical method provided a rapid assessment of whether a well was affected by barometric-pressure change and also provided a rapid estimate of barometric efficiency. The graphical method was used to assess which wells at Air Force Plant 6, Marietta, Georgia, had water levels affected by barometric-pressure changes during a 2003 constant-discharge aquifer test. The graphical method was also used to estimate barometric efficiency. Barometric-efficiency estimates from the graphical method were compared to those of four other methods: average of ratios, median of ratios, Clark, and slope. The two methods (the graphical and median-of-ratios methods) that used the median values of water-level change divided by barometric-pressure change appeared to be most resistant to error caused by barometric-pressure-independent water-level change. The graphical method was particularly resistant to large amounts of barometric-pressure-independent water-level change, having an average and standard deviation of error for control wells that was less than one-quarter that of the other four methods.\r\n\r\nWhen using the graphical method, it is advisable that more than one person select the slope or that the same person fits the same data several times to minimize the effect of subjectivity. Also, a long study period should be used (at least 60 days) to ensure that loops affected by large amounts of barometric-pressure-independent water-level change do not significantly contribute to error in the barometric-efficiency estimate.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075111","collaboration":"Prepared in cooperation with the U.S. Air Force Aeronautical Systems Center, Marietta, Georgia","usgsCitation":"Gonthier, G., 2007, A graphical method for estimation of barometric efficiency from continuous data: Concepts and application to a site in the Piedmont, Air Force Plant 6, Marietta, Georgia: U.S. Geological Survey Scientific Investigations Report 2007-5111, vi, 30 p., https://doi.org/10.3133/sir20075111.","productDescription":"vi, 30 p.","onlineOnly":"Y","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":10044,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5111/","linkFileType":{"id":5,"text":"html"}},{"id":192956,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":430165,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81596.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Marietta","otherGeospatial":"Air Force Plant 6","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.52712478082185,\n              33.93500578580522\n            ],\n            [\n              -84.52712478082185,\n              33.93080834768527\n            ],\n            [\n              -84.52177388072325,\n              33.93080834768527\n            ],\n            [\n              -84.52177388072325,\n              33.93500578580522\n            ],\n            [\n              -84.52712478082185,\n              33.93500578580522\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4957e4b0b290850ef12f","contributors":{"authors":[{"text":"Gonthier, Gerard  0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":292013,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80221,"text":"sir20075088 - 2007 - Ground-water age and quality in the High Plains Aquifer near Seward, Nebraska, 2003-04","interactions":[],"lastModifiedDate":"2020-08-25T17:25:14.992719","indexId":"sir20075088","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5088","displayTitle":"Ground-Water Age and Quality in the High Plains Aquifer near Seward, Nebraska, 2003-04","title":"Ground-water age and quality in the High Plains Aquifer near Seward, Nebraska, 2003-04","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the City of Seward, Nebraska, conducted a study of ground-water age and quality to improve understanding of: (1) traveltimes from recharge areas to public-supply wells, (2) the effects of geochemical reactions in the aquifer on water quality, and (3) how water quality has changed historically in response to land-use practices. Samples were collected from four supply wells in the Seward west well field and from nine monitoring wells along two approximate ground-water flow paths leading to the well field. Concentrations of three different chlorofluorocarbons (CFC-12, CFC-11, and CFC-113), sulfur hexafluoride (SF<sub>6</sub>), and ratios of tritium (<sup>3</sup>H) to helium-3 (<sup>3</sup>He) isotope derived from radioactive decay of 3H were used to determine the apparent recharge age of ground-water samples. Age interpretations were based primarily on <sup>3</sup>H/<sup>3</sup>He and CFC-12 data. Estimates of apparent ground-water age from tracer data were complicated by mixing of water of different ages in 10 of the 13 ground-water samples collected.</p><p>Apparent recharge dates of unmixed ground-water samples or mean recharge dates of young fractions of mixed water in samples collected from monitoring wells ranged from 1985 to 2002. For monitoring-well samples containing mixed water, the fraction of the sample composed of young water ranged from 26 to 77 percent of the sample. Apparent mean recharge dates of young fractions in samples collected from four supply wells in the Seward west well field ranged from about 1980 to 1990. Estimated fractions of the samples composed of young water ranged from 39 to 54 percent. It is implicit in the mixing calculations that the remainder of the sample that is not young water is composed of water that is more than 60 years old and contains no detectable quantities of modern atmospheric tracers. Estimated fractions of the mixed samples composed of \"old\" water ranged from 23 to 74 percent. Although alternative mixing models can be used to interpret the results, the mean age and mixing fractions from the primary mixing models used were fairly similar.</p><p>Relations of ground-water age and nitrate concentrations to depth were not consistent across the study area. In some well nests, more young water and nitrate were present near the bottom than in the middle of the aquifer. These results probably reflect pumping from irrigation and supply wells, which are screened primarily in the lower part of the aquifer, and draw younger water downward in the aquifer. Substantial mixing probably occurs because the aquifer is relatively thin (50 feet) and has a relatively high density of wells (about five pumping wells per square mile). The most reliable estimate of horizontal traveltimes based on differences in ground-water ages between a shallow monitoring well at the upgradient end of the northwest well transect and the deep well at the downgradient end of the well transect was 9 years to travel a distance of about 2 miles. The general similarity of ages at similar depths between different well nests is consistent with the fact that horizontal flow in the aquifer is relatively rapid.</p><p>Concentrations of nitrate (as nitrogen) in untreated ground-water samples from supply wells in the well field were larger than the U.S. Environmental Protection Agency Maximum Contaminant Level for drinking water of 10 mg/L (milligrams per liter), ranging from 11.3 to 13.5 mg/L. It is unlikely that nitrate concentrations in the aquifer near the Seward west well field are decreased by denitrification in the aquifer due to oxic geochemical conditions that preclude this reaction. Nitrate concentrations coupled with water recharge dates were compared to historical estimated fertilizer application in an attempt to reconstruct historical trends in ground-water nitrate concentrations and their relation to land-use practices. Nitrate concentrations in young-water fractions, after adjustment for mixing, may be decreasing over apparent recharge dates of 1980 to 2002, corresponding to a period of generally decreasing nitrogen fertilizer applications.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075088","collaboration":"Prepared in cooperation with the City of Seward, Nebraska","usgsCitation":"Stanton, J.S., Landon, M.K., and Turco, M.J., 2007, Ground-water age and quality in the High Plains Aquifer near Seward, Nebraska, 2003-04: U.S. Geological Survey Scientific Investigations Report 2007-5088, vi, 37 p., https://doi.org/10.3133/sir20075088.","productDescription":"vi, 37 p.","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":190559,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":377851,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2007/5088/pdf/SIR2007-5088.pdf"},{"id":10041,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5088/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","city":"Seward","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.25,40.85 ], [ -97.25,40.95 ], [ -97.08333333333333,40.95 ], [ -97.08333333333333,40.85 ], [ -97.25,40.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d652","contributors":{"authors":[{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":292006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turco, Michael J. mjturco@usgs.gov","contributorId":1011,"corporation":false,"usgs":true,"family":"Turco","given":"Michael","email":"mjturco@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":292008,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80227,"text":"sir20075036 - 2007 - The association of arsenic with redox conditions, depth, and ground-water age in the glacial aquifer system of the northern United States","interactions":[],"lastModifiedDate":"2022-11-29T21:28:17.631695","indexId":"sir20075036","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5036","title":"The association of arsenic with redox conditions, depth, and ground-water age in the glacial aquifer system of the northern United States","docAbstract":"More than 800 wells in the glacial aquifer system of the Northern United States were sampled for arsenic as part of U.S. Geological Survey National Water-Quality Assessment (NAWQA) studies during 1991-2003. Elevated arsenic concentrations (greater than or equal to 10 micrograms per liter) were detected in 9 percent of samples.\r\n\r\nElevated arsenic concentrations were associated with strongly reducing conditions. Of the samples classified as iron reducing or sulfate reducing, arsenic concentrations were elevated in 19 percent. Of the methanogenic samples, arsenic concentrations were elevated in 45 percent. In contrast, concentrations of arsenic were elevated in only 1 percent of oxic samples.\r\n\r\nArsenic concentrations were also related to ground-water age. Elevated arsenic concentrations were detected in 34 percent of old waters (recharged before 1953) as compared to 4 percent of young waters (recharged since 1953). For samples classified as both old and methanogenic, elevated arsenic concentrations were detected in 62 percent of samples, as compared to 1 percent for samples classified as young and oxic.\r\n\r\nArsenic concentrations were also correlated with well depth and concentrations of several chemical constituents, including (1) constituents linked to redox processes and (2) anions or oxyanions that sorb to iron oxides.\r\n\r\nObservations from the glacial aquifer system are consistent with the idea that the predominant source of arsenic is iron oxides and the predominant mechanism for releasing arsenic to the ground water is reductive desorption or reductive dissolution. Arsenic is also released from iron oxides under oxic conditions, but on a more limited basis and at lower concentrations.\r\n\r\nLogistic regression was used to investigate the relative significance of redox, ground-water age, depth, and other water-quality constituents as indicators of elevated arsenic concentrations in the glacial aquifer system. The single variable that explained the greatest amount of variation in the data was redox. Multivariate models that included a redox variable overestimated the percentage of samples with elevated arsenic concentrations because, even though elevated arsenic concentrations were associated with strongly reducing samples, not all strongly reducing samples had elevated arsenic concentrations.\r\n\r\nArsenic concentrations and redox conditions differed among four broad areas of the glacial aquifer system. For the East, Central, and West-Central north areas, there was a trend of increasing arsenic concentrations that corresponded to an increase in reducing conditions. For the West-Central south area, arsenic concentrations in oxic samples were higher than for the other areas, possibly because of high concentrations of orthophosphate, which is linked to desorption of arsenic from iron oxides under oxic conditions.\r\n\r\nThe observed differences in arsenic concentrations among broad areas of the glacial aquifer system were generally consistent with a conceptual model developed by Smedley and Kinniburg, who studied or reviewed studies of widespread arsenic contamination in Bangladesh, India, China, Vietnam, Hungary, Argentina, northern Chile and the Southwestern United States.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075036","usgsCitation":"Thomas, M.A., 2007, The association of arsenic with redox conditions, depth, and ground-water age in the glacial aquifer system of the northern United States: U.S. Geological Survey Scientific Investigations Report 2007-5036, vi, 26 p., https://doi.org/10.3133/sir20075036.","productDescription":"vi, 26 p.","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":192075,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":409824,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81597.htm","linkFileType":{"id":5,"text":"html"}},{"id":10047,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5036/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100,\n              48.0667\n            ],\n            [\n              -100,\n              38\n            ],\n            [\n              -70.75,\n              38\n            ],\n            [\n              -70.75,\n              48.0667\n            ],\n            [\n              -100,\n              48.0667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602b2f","contributors":{"authors":[{"text":"Thomas, Mary Ann mathomas@usgs.gov","contributorId":2536,"corporation":false,"usgs":true,"family":"Thomas","given":"Mary","email":"mathomas@usgs.gov","middleInitial":"Ann","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292023,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80219,"text":"sir20075159 - 2007 - Re-Evaluation of the 1921 Peak Discharge at Skagit River near Concrete, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"sir20075159","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5159","title":"Re-Evaluation of the 1921 Peak Discharge at Skagit River near Concrete, Washington","docAbstract":"The peak discharge record at the U.S. Geological Survey (USGS) gaging station at Skagit River near Concrete, Washington, is a key record that has come under intense scrutiny by the scientific and lay person communities in the last 4 years. A peak discharge of 240,000 cubic feet per second for the flood on December 13, 1921, was determined in 1923 by USGS hydrologist James Stewart by means of a slope-area measurement. USGS then determined the peak discharges of three other large floods on the Skagit River (1897, 1909, and 1917) by extending the stage-discharge rating through the 1921 flood measurement. The 1921 estimate of peak discharge was recalculated by Flynn and Benson of the USGS after a channel roughness verification was completed based on the 1949 flood on the Skagit River. The 1949 recalculation indicated that the peak discharge probably was 6.2 percent lower than Stewart's original estimate but the USGS did not officially change the peak discharge from Stewart's estimate because it was not more than a 10-percent change (which is the USGS guideline for revising peak flows) and the estimate already had error bands of 15 percent. All these flood peaks are now being used by the U.S. Army Corps of Engineers to determine the 100-year flood discharge for the Skagit River Flood Study so any method to confirm or improve the 1921 peak discharge estimate is warranted.\r\n\r\nDuring the last 4 years, two floods have occurred on the Skagit River (2003, 2006) that has enabled the USGS to collect additional data, do further analysis, and yet again re-evaluate the 1921 peak discharge estimate. Since 1949, an island/bar in the study reach has reforested itself. This has complicated the flow hydraulics and made the most recent recalculation of the 1921 flood based on channel roughness verification that used 2003 and 2006 flood data less reliable. However, this recent recalculation did indicate that the original peak-discharge calculation by Stewart may be high, and it added to a body of evidence that indicates a revision in the 1921 peak discharge estimate is appropriate.\r\n\r\nThe USGS has determined that a lower peak-discharge estimate (5.0 percent lower) similar to the 1949 estimates is most appropriate based on (1) a recalculation of the 1921 flood using a channel roughness verification from the 1949 flood data, (2) a recalculation of the 1921 flood using a channel roughness verification from 2003 and 2006 flood data, and (3) straight-line extension of the stage-discharge relation at the gage based on current-meter discharge measurements. Given the significance of the 1921 flood peak, revising the estimate is appropriate even though it is less than the 10-percent guideline established by the USGS for revision. Revising the peak is warranted because all work subsequent to 1921 point to the 1921 peak being lower than originally published.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075159","usgsCitation":"Mastin, M.C., 2007, Re-Evaluation of the 1921 Peak Discharge at Skagit River near Concrete, Washington: U.S. Geological Survey Scientific Investigations Report 2007-5159, iv, 13 p., https://doi.org/10.3133/sir20075159.","productDescription":"iv, 13 p.","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":190994,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10039,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5159/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6486d0","contributors":{"authors":[{"text":"Mastin, M. C.","contributorId":90782,"corporation":false,"usgs":true,"family":"Mastin","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":292002,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80216,"text":"ds249 - 2007 - Geologic map of Nevada","interactions":[],"lastModifiedDate":"2022-11-29T22:21:42.451829","indexId":"ds249","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"249","title":"Geologic map of Nevada","docAbstract":"The purpose of the Geologic Map of Nevada is to provide an integrated set of digital geologic information that can be used for regional geologic and rigorous spatial analysis. Two components of this map represent new information that has not been published in this form before. The new geology layer was created by merging into a single file individual digital Nevada county geologic maps (Hess and Johnson, 1997), published at a scale of 1:250,000. A new regional interpretation was created to unify all of the different county rock units, and then appropriate edits and modifications were made to the file to reflect additional geologic information and more current geologic interpretations. All possible sources of information were not utilized in the scope of this project, but rather the goal was to create a consistent Statewide 1:250,000-scale map that would facilitate regional geologic interpretation and be a foundation for future spatial analyses of digital data. Secondly, a new database of conodont biostratigraphic data compiled and analyzed by Anita Harris is also incorporated into the map. Information about many, but not all, of these conodont samples have been published separately elsewhere over the years, but they have not been presented together in a single digital database. Other previously published data layers are used in this map to enhance the usefulness of the geologic information. These layers include mineral deposit locations, oil well locations, and cartographic layers such as county boundaries, roads, towns, cities, rivers, water bodies, township, range and section grids, quadrangle grids, and topography. A summary of these components is given below, and complete descriptions of each layer are provided in the digital metadata.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds249","collaboration":"Prepared in cooperation with the Nevada Bureau of Mines and Geology","usgsCitation":"Crafford, A.E., 2007, Geologic map of Nevada (Version 1.1): U.S. Geological Survey Data Series 249, Pamphlet: iv, 46 p.; 1 Plate: 51 x 28 inches; Downloads Directory, https://doi.org/10.3133/ds249.","productDescription":"Pamphlet: iv, 46 p.; 1 Plate: 51 x 28 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192211,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds249.PNG"},{"id":110737,"rank":700,"type":{"id":36,"text":"NGMDB Index 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