{"pageNumber":"250","pageRowStart":"6225","pageSize":"25","recordCount":16506,"records":[{"id":79717,"text":"sir20065213 - 2007 - A Precipitation-Runoff Model for the Blackstone River Basin, Massachusetts and Rhode Island","interactions":[],"lastModifiedDate":"2012-03-08T17:16:22","indexId":"sir20065213","displayToPublicDate":"2007-03-24T00:00:00","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":"2006-5213","title":"A Precipitation-Runoff Model for the Blackstone River Basin, Massachusetts and Rhode Island","docAbstract":"A Hydrological Simulation Program-FORTRAN (HSPF) precipitation-runoff model of the Blackstone River Basin was developed and calibrated to study the effects of changing land- and water-use patterns on water resources. The 474.5 mi2 Blackstone River Basin in southeastern Massachusetts and northern Rhode Island is experiencing rapid population and commercial growth throughout much of its area. This growth and the corresponding changes in land-use patterns are increasing stress on water resources and raising concerns about the future availability of water to meet residential and commercial needs. Increased withdrawals and wastewater-return flows also could adversely affect aquatic habitat, water quality, and the recreational value of the streams in the basin. \r\n\r\nThe Blackstone River Basin was represented by 19 hydrologic response units (HRUs): 17 types of pervious areas (PERLNDs) established from combinations of surficial geology, land-use categories, and the distribution of public water and public sewer systems, and two types of impervious areas (IMPLNDs). Wetlands were combined with open water and simulated as stream reaches that receive runoff from surrounding pervious and impervious areas. This approach was taken to achieve greater flexibility in calibrating evapotranspiration losses from wetlands during the growing season. The basin was segmented into 50 reaches (RCHRES) to represent junctions at tributaries, major lakes and reservoirs, and drainage areas to streamflow-gaging stations. Climatological, streamflow, water-withdrawal, and wastewater-return data were collected during the study to develop the HSPF model. Climatological data collected at Worcester Regional Airport in Worcester, Massachusetts and T.F. Green Airport in Warwick, Rhode Island, were used for model calibration. A total of 15 streamflow-gaging stations were used in the calibration. Streamflow was measured at eight continuous-record streamflow-gaging stations that are part of the U.S. Geological Survey cooperative streamflow-gaging network, and at seven partial-record stations installed in 2004 for this study. Because the model-calibration period preceded data collection at the partial-record stations, a continuous streamflow record was estimated at these stations by correlation with flows at nearby continuous-record stations to provide additional streamflow data for model calibration. Water-use information was compiled for 1996-2001 and included municipal and commercial/industrial withdrawals, private residential withdrawals, golf-course withdrawals, municipal wastewater-return flows, and on-site septic effluent return flows. Streamflow depletion was computed for all time-varying ground-water withdrawals prior to simulation. Water-use data were included in the model to represent the net effect of water use on simulated hydrographs. Consequently, the calibrated values of the hydrologic parameters better represent the hydrologic response of the basin to precipitation. \r\n\r\nThe model was calibrated for 1997-2001 to coincide with the land-use and water-use data compiled for the study. Four long-term stations (Nipmuc River near Harrisville, Rhode Island; Quinsigamond River at North Grafton, Massachusetts; Branch River at Forestdale, Rhode Island; and Blackstone River at Woonsocket, Rhode Island) that monitor flow at 3.3, 5.4, 19, and 88 percent of the total basin area, respectively, provided the primary model-calibration points. Hydrographs, scatter plots, and flow-duration curves of observed and simulated discharges, along with various model-fit statistics, indicated that the model performed well over a range of hydrologic conditions. For example, the total runoff volume for the calibration period simulated at the Nipmuc River near Harrisville, Rhode Island; Quinsigamond River at North Grafton, Massachusetts; Branch River at Forestdale, Rhode Island; and Blackstone River at Woonsocket, Rhode Island streamflow-gaging stations differed from the observed runoff v","language":"ENGLISH","doi":"10.3133/sir20065213","collaboration":"Prepared in cooperation with the Rhode Island Water Resources Board","usgsCitation":"Barbaro, J.R., and Zarriello, P.J., 2007, A Precipitation-Runoff Model for the Blackstone River Basin, Massachusetts and Rhode Island: U.S. Geological Survey Scientific Investigations Report 2006-5213, x, 71 p., https://doi.org/10.3133/sir20065213.","productDescription":"x, 71 p.","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":190876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9373,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5213/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4963e4b0b290850ef1e1","contributors":{"authors":[{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79700,"text":"sir20075021 - 2007 - Evaluation of tandem offline and online solid-phase extraction with liquid chromatography/electrospray ionization-mass spectrometry for the analysis of antibiotics in ambient water and comparision to an independent method","interactions":[],"lastModifiedDate":"2020-03-21T11:43:16","indexId":"sir20075021","displayToPublicDate":"2007-03-17T00:00:00","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":"2007-5021","displayTitle":"Evaluation of Offline Tandem and Online Solid-Phase Extraction with Liquid Chromatography/Electrospray Ionization-Mass Spectrometry for Analysis of Antibiotics in Ambient Water and Comparison to an Independent Method","title":"Evaluation of tandem offline and online solid-phase extraction with liquid chromatography/electrospray ionization-mass spectrometry for the analysis of antibiotics in ambient water and comparision to an independent method","docAbstract":"This report describes the performance of an offline tandem solid-phase extraction (SPE) method and an online SPE method that use liquid chromatography/mass spectrometry for the analysis of 23 and 35 antibiotics, respectively, as used in several water-quality surveys conducted since 1999. In the offline tandem SPE method, normalized concentrations for the quinolone, macrolide, and sulfonamide antibiotics in spiked environmental samples averaged from 81 to 139 percent of the expected spiked concentrations. A modified standard-addition technique was developed to improve the quantitation of the tetracycline antibiotics, which had 'apparent' concentrations that ranged from 185 to 1,200 percent of their expected spiked concentrations in matrix-spiked samples. In the online SPE method, normalized concentrations for the quinolone, macrolide, sulfonamide, and tetracycline antibiotics in matrix-spiked samples averaged from 51 to 142 percent of their expected spiked concentrations, and the beta-lactam antibiotics in matrix-spiked samples averaged from 22 to 76 percent of their expected spiked concentration. \r\n\r\nComparison of 44 samples analyzed by both the offline tandem SPE and online SPE methods showed 50 to 100 percent agreement in sample detection for overlapping analytes and 68 to 100 percent agreement in a presence-absence comparison for all analytes. The offline tandem and online SPE methods were compared to an independent method that contains two overlapping antibiotic compounds, sulfamethoxazole and trimethoprim, for 96 and 44 environmental samples, respectively. The offline tandem SPE showed 86 and 92 percent agreement in sample detection and 96 and 98 percent agreement in a presence-absence comparison for sulfamethoxazole and trimethoprim, respectively. The online SPE method showed 57 and 56 percent agreement in sample detection and 72 and 91 percent agreement in presence-absence comparison for sulfamethoxazole and trimethoprim, respectively. A linear regression with an R2 of 0.91 was obtained for trimethoprim concentrations, and an R2 of 0.35 was obtained for sulfamethoxazole concentrations determined from samples analyzed by the offline tandem SPE and online SPE methods. \r\n\r\nLinear regressions of trimethoprim and sulfamethoxazole concentrations determined from samples analyzed by the offline tandem SPE method and the independent M3 pharmaceutical method yielded R2 of 0.95 and 0.87, respectively. Regressed comparison of the offline tandem SPE method to the online SPE and M3 methods showed that the online SPE method gave higher concentrations for sulfamethoxazole and trimethoprim than were obtained from the offline tandem SPE or M3 methods.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075021","collaboration":"Prepared in cooperation with the USGS Toxic Substances Hydrology Program and the US Environmental Protection Agency","usgsCitation":"Meyer, M.T., Lee, E., Ferrell, G., Bumgarner, J., and Varns, J., 2007, Evaluation of tandem offline and online solid-phase extraction with liquid chromatography/electrospray ionization-mass spectrometry for the analysis of antibiotics in ambient water and comparision to an independent method: U.S. Geological Survey Scientific Investigations Report 2007-5021, vi, 28 p., https://doi.org/10.3133/sir20075021.","productDescription":"vi, 28 p.","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":194467,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9336,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5021/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9d69","contributors":{"authors":[{"text":"Meyer, M. T.","contributorId":92279,"corporation":false,"usgs":true,"family":"Meyer","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":290604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, E.A.","contributorId":48608,"corporation":false,"usgs":true,"family":"Lee","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":290601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrell, G.M.","contributorId":92681,"corporation":false,"usgs":true,"family":"Ferrell","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":290605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bumgarner, J.E.","contributorId":82410,"corporation":false,"usgs":true,"family":"Bumgarner","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":290603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Varns, Jerry","contributorId":80373,"corporation":false,"usgs":true,"family":"Varns","given":"Jerry","email":"","affiliations":[],"preferred":false,"id":290602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79707,"text":"ofr20071028 - 2007 - Dichloroethene and vinyl chloride degradation potential in wetland sediments at Twin Lakes and Pen Branch, Savannah River National Laboratory, South Carolina","interactions":[],"lastModifiedDate":"2020-01-26T10:47:13","indexId":"ofr20071028","displayToPublicDate":"2007-03-17T00:00:00","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":"2007-1028","title":"Dichloroethene and vinyl chloride degradation potential in wetland sediments at Twin Lakes and Pen Branch, Savannah River National Laboratory, South Carolina","docAbstract":"A series of 14C-radiotracer-based microcosm experiments was conducted to assess the mechanisms and products of degradation of dichloroethene (DCE) and vinyl chloride (VC) in wetland sediments at the Department of Energy (DOE) Savannah River National Laboratory. This project investigated the potential for biotic and abiotic DCE and VC degradation in wetland sediments from the Twin Lakes area of the C-BRP investigative unit and from the portion of Pen Branch located directly down gradient from the CMP investigative unit.\r\n\r\nSubstantial degradation of [1,2-14C] DCE and [1,2-14C] VC to 14CO2 was observed in all viable sediment microcosms prepared under oxic conditions. These results indicate that microbial mineralization processes, involving direct oxidation or cometabolic oxidation, are the primary mechanisms of DCE and VC biodegradation in Twin Lake and Pen Branch sediments under oxic conditions.\r\n\r\nSubstantial degradation of [1,2-14C] DCE and [1,2-14C] VC was observed in all viable sediment microcosms incubated under anoxic conditions. Production of 14CO2 was observed in all sediment microcosms under anoxic conditions. In general, the accumulation of mineralization products (14CO2 and 14CH4) was comparable to the accumulation of those reduced daughter products (14C-VC, 14C-ethene or 14C-ethane) traditionally identified with chloroethene reductive dechlorination. These results indicate that microbial mineralization processes can be an important component of DCE and VC degradation in Twin Lake and Pen Branch sediments under anoxic conditions. These results demonstrate that an evaluation of the efficiency of in situ DCE and VC biodegradation in Twin Lakes and Pen Branch that is based solely on the observed accumulation of reduced daughter products may underestimate substantially the total extent of contaminant biodegradation and, thus, the contribution of biodegradation to overall contaminant attenuation.\r\n\r\nNo evidence of abiotic degradation of [1,2-14C] DCE or [1,2-14C] VC was observed in heat-sterilized control treatments in this study under oxic or anoxic conditions. Efforts to enrich and isolate microorganisms involved in the mineralization of [1,2-14C] cis-DCE and/or [1,2-14C] VC were unsuccessful.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071028","collaboration":"Prepared in cooperation with the Department of Energy Savannah River National Laboratory","usgsCitation":"Bradley, P.M., 2007, Dichloroethene and vinyl chloride degradation potential in wetland sediments at Twin Lakes and Pen Branch, Savannah River National Laboratory, South Carolina: U.S. Geological Survey Open-File Report 2007-1028, vi, 15 p., https://doi.org/10.3133/ofr20071028.","productDescription":"vi, 15 p.","onlineOnly":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":190751,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9344,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1028/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","otherGeospatial":"Pen Branch, Savannah River, Twin Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.02667236328125,\n              32.87843385746406\n            ],\n            [\n              -82.02667236328125,\n              33.486435450999885\n            ],\n            [\n              -81.13540649414062,\n              33.486435450999885\n            ],\n            [\n              -81.13540649414062,\n              32.87843385746406\n            ],\n            [\n              -82.02667236328125,\n              32.87843385746406\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d9b8","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290622,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79705,"text":"sir20075017 - 2007 - Ground-Water Conditions and Studies in Georgia, 2004-2005","interactions":[],"lastModifiedDate":"2017-01-17T09:36:22","indexId":"sir20075017","displayToPublicDate":"2007-03-17T00:00:00","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":"2007-5017","title":"Ground-Water Conditions and Studies in Georgia, 2004-2005","docAbstract":"The U.S. Geological Survey (USGS) collects ground-water data and conducts studies to monitor hydrologic conditions, better define ground-water resources, and address problems related to water supply, water use, and water quality. During 2004-2005, ground-water levels were monitored continuously in a network of 183 wells completed in major aquifers throughout the State. Because of missing data or the short period of record for a number of these wells (less than 3 years), a total of 171 wells from the network are discussed in this report. These wells include 19 in the surficial aquifer system, 20 in the Brunswick aquifer system and equivalent sediments, 69 in the Upper Floridan aquifer, 17 in the Lower Floridan aquifer and underlying units, 10 in the Claiborne aquifer, 1 in the Gordon aquifer, 10 in the Clayton aquifer, 12 in the Cretaceous aquifer system, 2 in Paleozoic-rock aquifers, and 11 in crystalline-rock aquifers. Data from the network indicate that generally water levels rose after the end of a drought (fall 2002), with water levels in 152 of the wells in the normal or above-normal range by 2005. An exception to this pattern of water-level recovery is in the Cretaceous aquifer system where water levels in 7 of the 12 wells monitored were below normal during 2005.\r\n\r\nIn addition to continuous water-level data, periodic synoptic water-level measurements were collected and used to construct potentiometric-surface maps for the Upper Floridan aquifer in the Camden County-Charlton County area during September 2004 and May 2005, in the Brunswick area during June 2004 and June 2005, and in the City of Albany-Dougherty County area during October 2004 and during October 2005. In general, the configuration of the potentiometric surfaces showed little change during 2004-2005 in each of the areas.\r\n\r\nGround-water quality in the Upper Floridan aquifer is monitored in the Albany, Savannah, and Brunswick areas, and in Camden County; and the Lower Floridan aquifer, monitored in the Savannah and Brunswick areas and in Camden County. In the Albany area, nitrate concentrations generally increased since the end of the drought during 2002. Concentrations increased in water collected from 13 of the 16 wells sampled during 2004-2005 and by November 2005, water from 2 wells had nitrate as N concentrations that were above the U.S. Environmental Protection Agency's (USEPA) 10-milligram-per-liter (mg/L) drinking-water standard.\r\n\r\nIn the Savannah area, measurement of fluid conductivity and chloride concentration in water samples from discrete depths in three wells completed in the Upper Floridan aquifer and one well in the Lower Floridan aquifer were used to assess changes in water quality in the Savannah area. At Tybee Island, chloride concentrations in samples from the Lower Floridan aquifer increased during 2004-2005 and were above the 250-mg/L USEPA drinking-water standard. At Skidaway Island, water in the Upper Floridan aquifer is fresh, and chloride concentrations did not appreciably change during 2004-2005. However, chloride concentrations in samples collected from the Lower Floridan aquifer during 2004-2005 showed disparate changes; whereby, chloride concentration increased in the deepest sampled interval (1,070 feet) and decreased in a shallower sampled interval (900 feet). At Fort Pulaski, water samples collected from the Upper Floridan aquifer are fresh and did not appreciably change during 2004-2005.\r\n\r\nIn the Brunswick area, maps showing the chloride concentration of water in the Upper Floridan aquifer were constructed using data collected from 41 wells during June 2004 and from 39 wells during June 2005. Analyses indicate that concentrations remained above the USEPA drinking-water standard in an approximate 2-square-mile area. During 2004-2005, chloride concentrations increased in samples from 18 wells and decreased in samples from 11 wells.\r\n\r\nIn the Camden County area, chloride concentrations during 2004-2005 were analyzed in water","language":"ENGLISH","doi":"10.3133/sir20075017","usgsCitation":"Leeth, D.C., Peck, M., and Painter, J.A., 2007, Ground-Water Conditions and Studies in Georgia, 2004-2005: U.S. Geological Survey Scientific Investigations Report 2007-5017, 295p.; Main Report [iv, 122 p.]; 1 Appendix [173 p.(p 123-295)], https://doi.org/10.3133/sir20075017.","productDescription":"295p.; Main Report [iv, 122 p.]; 1 Appendix [173 p.(p 123-295)]","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":194478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9342,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5017/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.330810546875,\n              30.581179257386985\n            ],\n            [\n              -85.330810546875,\n              32.616243412727385\n            ],\n            [\n              -82.584228515625,\n              32.616243412727385\n            ],\n            [\n              -82.584228515625,\n              30.581179257386985\n            ],\n            [\n              -85.330810546875,\n              30.581179257386985\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b43ae","contributors":{"authors":[{"text":"Leeth, David C. cleeth@usgs.gov","contributorId":1403,"corporation":false,"usgs":true,"family":"Leeth","given":"David","email":"cleeth@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":290617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":290619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290618,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79692,"text":"ofr20071064 - 2007 - Publications of the Volcano Hazards Program 2005","interactions":[],"lastModifiedDate":"2019-03-04T11:43:41","indexId":"ofr20071064","displayToPublicDate":"2007-03-13T00:00:00","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":"2007-1064","title":"Publications of the Volcano Hazards Program 2005","docAbstract":"The Volcano Hazards Program of the U.S. Geological Survey (USGS) is part of the Geologic Hazards Assessments subactivity as funded by Congressional appropriation. Investigations are carried out in the Geology and Hydrology Disciplines of the USGS and with cooperators at the Alaska Division of Geological and Geophysical Surveys, University of Alaska Fairbanks Geophysical Institute, University of Hawaii Hilo, University of Utah, and University of Washington Geophysics Program. This report lists publications from all these institutions. \r\n\r\nThis report contains only published papers and maps; numerous abstracts produced for presentations at scientific meetings have not been included. Publications are included based on date of publication with no attempt to assign them to Fiscal Year.","language":"ENGLISH","doi":"10.3133/ofr20071064","usgsCitation":"Nathenson, M., 2007, Publications of the Volcano Hazards Program 2005 (Version 1.0): U.S. Geological Survey Open-File Report 2007-1064, 11 p., https://doi.org/10.3133/ofr20071064.","productDescription":"11 p.","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":616,"text":"Volcano Hazards Team","active":false,"usgs":true}],"links":[{"id":9326,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1064/","linkFileType":{"id":5,"text":"html"}},{"id":194869,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db667ef6","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":290583,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79691,"text":"ofr20061385 - 2007 - Ohio Aquatic Gap Analysis-An Assessment of the Biodiversity and Conservation Status of Native Aquatic Animal Species","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"ofr20061385","displayToPublicDate":"2007-03-13T00:00:00","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":"2006-1385","title":"Ohio Aquatic Gap Analysis-An Assessment of the Biodiversity and Conservation Status of Native Aquatic Animal Species","docAbstract":"The goal of the GAP Analysis Program is to keep common species common by identifying those species and habitats that are not yet adequately represented in the existing matrix of conservation lands. The Gap Analysis Program (GAP) is sponsored by the Biological Resources Discipline of the U.S. Geological Survey (USGS). The Ohio Aquatic GAP (OH-GAP) is a pilot project that is applying the GAP concept to aquatic-specifically, riverine-data. The mission of GAP is to provide regional assessments of the conservation status of native animal species and to facilitate the application of this information to land-management activities. OH-GAP accomplished this through\r\n* mapping aquatic habitat types, \r\n* mapping the predicted distributions of fish, crayfish, and bivalves, \r\n* documenting the presence of aquatic species in areas managed for conservation, \r\n* providing GAP results to the public, planners, managers, policy makers, and researchers, and \r\n* building cooperation with multiple organizations to apply GAP results to state and regional management activities.\r\n\r\nGap analysis is a coarse-scale assessment of aquatic biodiversity and conservation; the goal is to identify gaps in the conservation of native aquatic species. It is not a substitute for biological field studies and monitoring programs. Gap analysis was conducted for the continuously flowing streams in Ohio. Lakes, reservoirs, wetlands, and the Lake Erie islands were not included in this analysis. The streams in Ohio are in the Lake Erie and Ohio River watersheds and pass through six of the level III ecoregions defined by Omernik: the Eastern Corn Belt Plains, Southern Michigan/Northern Indiana Drift Plains, Huron/Erie Lake Plain, Erie Drift Plains, Interior Plateau, and the Western Allegheny Plateau.\r\n\r\nTo characterize the aquatic habitats available to Ohio fish, crayfish, and bivalves, a classification system needed to be developed and mapped. The process of classification includes delineation of areas of relative homogeneity and labeling these areas using categories defined by the classification system. The variables were linked to the 1:100,000-scale streams of the National Hydrography Dataset of the USGS. Through discussions with Ohio aquatic experts, OH-GAP identified eight separate enduring physical features which, when combined, form the physical habitat type: \r\n* Shreve link (a measure of stream size) \r\n* Downstream Shreve link (a measure of stream connectivity and size) \r\n* Sinuosity \r\n* Gradient \r\n* Bedrock \r\n* Stream temperature \r\n* Character of glacial drift \r\n* Glacial-drift thickness \r\n\r\nPotential distribution models were developed for 130 fish, 70 bivalve, and 17 native crayfish species. These models are based on 5,686 fish, 4,469 crayfish, and 2,899 freshwater bivalve (mussels and clams) sampling locations, the variables describing the physical habitat types, and variables indicating the major drainage basins and Omernik's Level III ecoregion. All potential species distributions are displayed and analyzed at the 14-digit hydrologic unit (14-HUs), or subwatershed, level. Mainland Ohio contains 1,749 14-HUs. All statistics and conclusions, as well as spatial data, are discussed and presented in terms of these units.\r\n\r\nThe Ohio Aquatic Gap Analysis Project compiled a map of public and private conservation lands and OH-GAP classified the lands into four status categories (status 1 through status 4) by the degree of protection offered based on management practices. A status of 1 denotes the highest, most permanent level of maintenance, and status 4 represents the lowest level of biodiversity management, or unknown status. The results of this mapping show that only about 3.7 percent of the state's land (4.3 percent if lakes and reservoirs are also included) is protected for conservation, either publicly or privately. Of this total, state agencies control about 52 percent, and Federal agencies control about 29 percent.\r\n\r\nConservation areas that presently protect","language":"ENGLISH","doi":"10.3133/ofr20061385","usgsCitation":"Covert, S., Kula, S.P., and Simonson, L.A., 2007, Ohio Aquatic Gap Analysis-An Assessment of the Biodiversity and Conservation Status of Native Aquatic Animal Species: U.S. Geological Survey Open-File Report 2006-1385, ix, 128 p.; Appendix A-I; 3 maps; 3 species lists, https://doi.org/10.3133/ofr20061385.","productDescription":"ix, 128 p.; Appendix A-I; 3 maps; 3 species lists","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":194868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9325,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1385/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.806389,38.248611 ], [ -84.806389,41.785556 ], [ -80.105278,41.785556 ], [ -80.105278,38.248611 ], [ -84.806389,38.248611 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db691d64","contributors":{"authors":[{"text":"Covert, S. Alex","contributorId":39426,"corporation":false,"usgs":true,"family":"Covert","given":"S. Alex","affiliations":[],"preferred":false,"id":290581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Stephanie P. spkula@usgs.gov","contributorId":4666,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","email":"spkula@usgs.gov","middleInitial":"P.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simonson, Laura A.","contributorId":63110,"corporation":false,"usgs":true,"family":"Simonson","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":290582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79683,"text":"fs20073002 - 2007 - Ground-Water Recharge in Minnesota","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"fs20073002","displayToPublicDate":"2007-03-09T00:00:00","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":"2007-3002","title":"Ground-Water Recharge in Minnesota","docAbstract":"'Ground-water recharge' broadly describes the addition of water to the ground-water system. Most water recharging the ground-water system moves relatively rapidly to surface-water bodies and sustains streamflow, lake levels, and wetlands. Over the long term, recharge is generally balanced by discharge to surface waters, to plants, and to deeper parts of the ground-water system. However, this balance can be altered locally as a result of pumping, impervious surfaces, land use, or climate changes that could result in increased or decreased recharge.\r\n\r\n* Recharge rates to unconfined aquifers in Minnesota typically are about 20-25 percent of precipitation.\r\n\r\n* Ground-water recharge is least (0-2 inches per year) in the western and northwestern parts of the State and increases to greater than 6 inches per year in the central and eastern parts of the State.\r\n\r\n* Water-level measurement frequency is important in estimating recharge. Measurements made less frequently than about once per week resulted in as much as a 48 percent underestimation of recharge compared with estimates based on an hourly measurement frequency.\r\n\r\n* High-quality, long-term, continuous hydrologic and climatic data are important in estimating recharge rates.","language":"ENGLISH","doi":"10.3133/fs20073002","usgsCitation":"Delin, G., and Falteisek, J., 2007, Ground-Water Recharge in Minnesota: U.S. Geological Survey Fact Sheet 2007-3002, 6 p., https://doi.org/10.3133/fs20073002.","productDescription":"6 p.","numberOfPages":"6","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":121343,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3002.jpg"},{"id":9318,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3002/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d4d8","contributors":{"authors":[{"text":"Delin, G. N.","contributorId":12834,"corporation":false,"usgs":true,"family":"Delin","given":"G. N.","affiliations":[],"preferred":false,"id":290565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falteisek, J.D.","contributorId":12136,"corporation":false,"usgs":true,"family":"Falteisek","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":290564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79681,"text":"ofr20071019 - 2007 - Drying of floodplain forests associated with water-level decline in the Apalachicola River, Florida: Interim results, 2006","interactions":[{"subject":{"id":79681,"text":"ofr20071019 - 2007 - Drying of floodplain forests associated with water-level decline in the Apalachicola River, Florida: Interim results, 2006","indexId":"ofr20071019","publicationYear":"2007","noYear":false,"title":"Drying of floodplain forests associated with water-level decline in the Apalachicola River, Florida: Interim results, 2006"},"predicate":"SUPERSEDED_BY","object":{"id":82126,"text":"sir20085062 - 2008 - Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida","indexId":"sir20085062","publicationYear":"2008","noYear":false,"title":"Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida"},"id":1}],"supersededBy":{"id":82126,"text":"sir20085062 - 2008 - Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida","indexId":"sir20085062","publicationYear":"2008","noYear":false,"title":"Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida"},"lastModifiedDate":"2022-06-30T18:27:00.775749","indexId":"ofr20071019","displayToPublicDate":"2007-03-08T00:00:00","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":"2007-1019","title":"Drying of floodplain forests associated with water-level decline in the Apalachicola River, Florida: Interim results, 2006","docAbstract":"Floodplain forests of the Apalachicola River, Florida, are drier in composition today (2006) than they were before 1954, and drying is expected to continue for at least the next 50 years. Drier forest composition is probably caused by water-level declines that occurred as a result of physical changes in the main channel after 1954 and decreased flows in spring and summer months since the 1970s. \r\nForest plots sampled from 2004 to 2006 were compared to forests sampled in the late 1970s (1976-79) using a Floodplain Index (FI) based on species dominance weighted by the Floodplain Species Category, a value that represents the tolerance of tree species to inundation and saturation in the floodplain and consequently, the typical historic floodplain habitat for that species. Two types of analyses were used to determine forest changes over time: replicate plot analysis comparing present (2004-06) canopy composition to late 1970s canopy composition at the same locations, and analyses comparing the composition of size classes of trees on plots in late 1970s and in present forests. An example of a size class analysis would be a comparison of the composition of the entire canopy (all trees greater than 7.5 cm (centimeter) diameter at breast height (dbh)) to the composition of the large canopy tree size class (greater than or equal to 25 cm dbh) at one location. The entire canopy, which has a mixture of both young and old trees, is probably indicative of more recent hydrologic conditions than the large canopy, which is assumed to have fewer young trees. \r\nChange in forest composition from the pre-1954 period to approximately 2050 was estimated by combining results from three analyses. The composition of pre-1954 forests was represented by the large canopy size class sampled in the late 1970s. The average FI for canopy trees was 3.0 percent drier than the average FI for the large canopy tree size class, indicating that the late 1970s forests were 3.0 percent drier than pre-1954 forests. The change from the late 1970s to the present was based on replicate plot analysis. The composition of 71 replicate plots sampled from 2004 to 2006 averaged 4.4 percent drier than forests sampled in the late 1970s. The potential composition of future forests (2050 or later) was estimated from the composition of the present subcanopy tree size class (less than 7.5 cm and greater than or equal to 2.5 cm dbh), which contains the greatest percentage of young trees and is indicative of recent hydrologic conditions. Subcanopy trees are the driest size class in present forests, with FIs averaging 31.0 percent drier than FIs for all canopy trees. Based on results from all three sets of data, present floodplain forests average 7.4 percent drier in composition than pre-1954 forests and have the potential to become at least 31.0 percent drier in the future. An overall total change in floodplain forests to an average composition 38.4 percent drier than pre-1954 forests is expected within approximately 50 years. \r\nThe greatest effects of water-level decline have occurred in tupelo-cypress swamps where forest composition has become at least 8.8 percent drier in 2004-06 than in pre-1954 years. This change indicates that a net loss of swamps has already occurred in the Apalachicola River floodplain, and further losses are expected to continue over the next 50 years. Drying of floodplain forests will result in some low bottomland hardwood forests changing in composition to high bottomland hardwood forests. The composition of high bottomland hardwoods will also change, although periodic flooding is still occurring and will continue to limit most of the floodplain to bottomland hardwood species that are adapted to at least short periods of inundation and saturation.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071019","collaboration":"Prepared in cooperation with the Northwest Florida Water Management District and the Florida Department of Environmental Protection","usgsCitation":"Darst, M.R., and Light, H.M., 2007, Drying of floodplain forests associated with water-level decline in the Apalachicola River, Florida: Interim results, 2006: U.S. Geological Survey Open-File Report 2007-1019, https://doi.org/10.3133/ofr20071019.","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190682,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402774,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_80793.htm"},{"id":9315,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1019/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.374755859375,\n              29.82158272057499\n            ],\n            [\n              -84.72656249999999,\n              29.82158272057499\n            ],\n            [\n              -84.72656249999999,\n              30.741835717889792\n            ],\n            [\n              -85.374755859375,\n              30.741835717889792\n            ],\n            [\n              -85.374755859375,\n              29.82158272057499\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db634076","contributors":{"authors":[{"text":"Darst, Melanie R.","contributorId":93042,"corporation":false,"usgs":true,"family":"Darst","given":"Melanie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":290561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Light, Helen M.","contributorId":18355,"corporation":false,"usgs":true,"family":"Light","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":290560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200437,"text":"70200437 - 2007 - Alkalilimnicola ehrlichii sp. nov., a novel, arsenite-oxidizing haloalkaliphilic gammaproteobacterium capable of chemoautotrophic or heterotrophic growth with nitrate or oxygen as the electron acceptor","interactions":[],"lastModifiedDate":"2018-10-17T12:40:18","indexId":"70200437","displayToPublicDate":"2007-03-01T12:39:38","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2076,"text":"International Journal of Systematic and Evolutionary Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Alkalilimnicola ehrlichii sp. nov., a novel, arsenite-oxidizing haloalkaliphilic gammaproteobacterium capable of chemoautotrophic or heterotrophic growth with nitrate or oxygen as the electron acceptor","docAbstract":"<p><span>A facultative chemoautotrophic bacterium, strain MLHE-1</span><span class=\"jp-sup\">T</span><span>, was isolated from Mono Lake, an alkaline hypersaline soda lake in California, USA. Cells of strain MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;were Gram-negative, short motile rods that grew with inorganic electron donors (arsenite, hydrogen, sulfide or thiosulfate) coupled with the reduction of nitrate to nitrite. No aerobic growth was attained with arsenite or sulfide, but hydrogen sustained both aerobic and anaerobic growth. No growth occurred when nitrite or nitrous oxide was substituted for nitrate. Heterotrophic growth was observed under aerobic and anaerobic (nitrate) conditions. Cells of strain MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;could oxidize but not grow on CO, while CH</span><span class=\"jp-sub\">4</span><span>&nbsp;neither supported growth nor was it oxidized. When grown chemoautotrophically, strain MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;assimilated inorganic carbon via the Calvin–Benson–Bassham reductive pentose phosphate pathway, with the activity of ribulose 1,5-bisphosphate carboxylase (RuBisCO) functioning optimally at 0.1 M NaCl and at pH 7.3. Strain MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;grew over broad ranges of pH (7.3–10.0; optimum, 9.3), salinity (15–190 g l</span><span class=\"jp-sup\">−1</span><span>; optimum 30 g l</span><span class=\"jp-sup\">−1</span><span>) and temperature (13–40 °C; optimum, 30 °C). Phylogenetic analysis of 16S rRNA gene sequences placed strain MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;in the class&nbsp;</span><span class=\"jp-italic\">Gammaproteobacteria</span><span>(family&nbsp;</span><span class=\"jp-italic\">Ectothiorhodospiraceae</span><span>) and most closely related to&nbsp;</span><span class=\"jp-italic\">Alkalispirillum mobile</span><span>&nbsp;(98.5 %) and&nbsp;</span><span class=\"jp-italic\">Alkalilimnicola halodurans</span><span>&nbsp;(98.6 %), although none of these three haloalkaliphilic micro-organisms were capable of photoautotrophic growth and only strain MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;was able to oxidize As(III). On the basis of physiological characteristics and DNA–DNA hybridization data, it is suggested that strain MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;represents a novel species within the genus&nbsp;</span><span class=\"jp-italic\">Alkalilimnicola</span><span>&nbsp;for which the name&nbsp;</span><span class=\"jp-italic\">Alkalilimnicola ehrlichii</span><span>&nbsp;is proposed. The type strain is MLHE-1</span><span class=\"jp-sup\">T</span><span>&nbsp;(=DSM 17681</span><span class=\"jp-sup\">T</span><span>=ATCC BAA-1101</span><span class=\"jp-sup\">T</span><span>). Aspects of the annotated full genome of&nbsp;</span><span class=\"jp-italic\">Alkalilimnicola ehrlichii</span><span>&nbsp;are discussed in the light of its physiology.</span></p>","language":"English","publisher":"International Union of Microbiological Societies","doi":"10.1099/ijs.0.64576-0","usgsCitation":"Hoeft, S.E., Blum, J.S., Stolz, J.F., Tabita, F., Witte, B., King, G.M., Santini, J.M., and Oremland, R., 2007, Alkalilimnicola ehrlichii sp. nov., a novel, arsenite-oxidizing haloalkaliphilic gammaproteobacterium capable of chemoautotrophic or heterotrophic growth with nitrate or oxygen as the electron acceptor: International Journal of Systematic and Evolutionary Microbiology, v. 57, no. 504, p. 504-512, https://doi.org/10.1099/ijs.0.64576-0.","productDescription":"9 p.","startPage":"504","endPage":"512","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1099/ijs.0.64576-0","text":"Publisher Index Page"},{"id":358482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.148,37.940 ], [ -119.148,38.075 ], [ -118.909,38.075 ], [ -118.909,37.940 ], [ -119.148,37.940 ] ] ] } } ] }","volume":"57","issue":"504","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10d9eee4b034bf6a7fc531","contributors":{"authors":[{"text":"Hoeft, Shelley E.","contributorId":54077,"corporation":false,"usgs":true,"family":"Hoeft","given":"Shelley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":748853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blum, Jodi Switzer","contributorId":96946,"corporation":false,"usgs":true,"family":"Blum","given":"Jodi","email":"","middleInitial":"Switzer","affiliations":[],"preferred":false,"id":748854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stolz, John F.","contributorId":179305,"corporation":false,"usgs":false,"family":"Stolz","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":748855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tabita, F. Robert","contributorId":152636,"corporation":false,"usgs":false,"family":"Tabita","given":"F. Robert","affiliations":[{"id":18950,"text":"Department of Microbiology, The Ohio State University, Columbus, OH 43210, USA","active":true,"usgs":false}],"preferred":false,"id":748856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witte, Brian","contributorId":209812,"corporation":false,"usgs":false,"family":"Witte","given":"Brian","email":"","affiliations":[],"preferred":false,"id":748857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Gary M.","contributorId":209813,"corporation":false,"usgs":false,"family":"King","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":748858,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santini, Joanne M.","contributorId":168895,"corporation":false,"usgs":false,"family":"Santini","given":"Joanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":748859,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oremland, Ron roremlan@usgs.gov","contributorId":145773,"corporation":false,"usgs":true,"family":"Oremland","given":"Ron","email":"roremlan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":748860,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70200425,"text":"70200425 - 2007 - Estimating cleanup times for groundwater contamination remediation strategies","interactions":[],"lastModifiedDate":"2018-10-17T10:11:22","indexId":"70200425","displayToPublicDate":"2007-03-01T10:11:04","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2136,"text":"Journal - American Water Works Association","active":true,"publicationSubtype":{"id":10}},"title":"Estimating cleanup times for groundwater contamination remediation strategies","docAbstract":"<p><span>This article presents the Natural Attenuation Software (NAS), available as a free download from Virginia Polytechnic University, which can help remedial project managers and their contractors estimate the time of groundwater remediation through consideration of such natural attenuation processes as advection, dispersion, sorption, source zone depletion, and biodegradation. NAS consists of a combination of computational tools implemented in three main interactive modules. The article discusses testing and evaluation of NAS along with expected benefits of the software tool.</span></p>","language":"English","publisher":"American Water Works Association","doi":"10.1002/j.1551-8833.2007.tb07886.x","usgsCitation":"Miner, G., Widdowson, M.A., Mendez, E., and Chapelle, F.H., 2007, Estimating cleanup times for groundwater contamination remediation strategies: Journal - American Water Works Association, v. 99, no. 3, p. 40-46, https://doi.org/10.1002/j.1551-8833.2007.tb07886.x.","productDescription":"7 p.","startPage":"40","endPage":"46","onlineOnly":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10d9eee4b034bf6a7fc533","contributors":{"authors":[{"text":"Miner, Gary","contributorId":209768,"corporation":false,"usgs":false,"family":"Miner","given":"Gary","email":"","affiliations":[],"preferred":false,"id":748777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendez, Eduardo III","contributorId":86838,"corporation":false,"usgs":true,"family":"Mendez","given":"Eduardo","suffix":"III","email":"","affiliations":[],"preferred":false,"id":748779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79668,"text":"sir20075027 - 2007 - Hydrology and glacier-lake-outburst floods (1987-2004) and water quality (1998-2003) of the Taku River near Juneau, Alaska","interactions":[],"lastModifiedDate":"2024-02-12T22:52:40.584659","indexId":"sir20075027","displayToPublicDate":"2007-03-01T00:00:00","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":"2007-5027","title":"Hydrology and glacier-lake-outburst floods (1987-2004) and water quality (1998-2003) of the Taku River near Juneau, Alaska","docAbstract":"The Taku River Basin originates in British Columbia, Canada, and drains an area of 6,600 square miles at the U.S. Geological Survey's Taku River gaging station. Several mines operated within the basin prior to 1957, and mineral exploration has resumed signaling potential for future mining developments. The U.S. Geological Survey in cooperation with the Douglas Indian Association, Alaska Department of Environmental Conservation, and the U.S. Environmental Protection Agency conducted a water-quality and flood-hydrology study of the Taku River. Water-quality sampling of the Taku River from 1998 through 2003 established a baseline for assessing potential effects of future mining operations on water quality.\r\n\r\nThe annual mean discharge of the Taku River is 13,700 cubic feet per second. The monthly mean discharge ranges from a minimum of 1,940 cubic feet per second in February to a maximum of 34,400 cubic feet per second in June. Nearly 90 percent of the annual discharge is from May through November. The highest spring discharges are sourced primarily from snowmelt and moderate discharges are sustained throughout the summer by glacial meltwaters. An ice cover usually forms over the Taku River in December persisting through the winter into March and occasionally into April.\r\n\r\nGlacier-lake-outburst floods originating from two glacier-dammed lakes along the margin of the Tulsequah Glacier in British Columbia, Canada, are the source of the greatest peak discharges on the Taku River. The largest flood during the period of record was 128,000 cubic feet per second on June 25, 2004, resulting from an outburst of Lake No Lake. Lake No Lake is the larger of the two lakes. The outburst-flood contribution to peak discharge was 80,000 cubic feet per second. The volume discharged from Lake No Lake is relatively consistent indicating drainage may be triggered when the lake reaches a critical stage. This suggests prediction of the timing of these outburst floods might be possible if lake-stage data were available. Further increases in the volume of Lake No Lake are unlikely as all tributary glaciers have retreated out of the lake basin. Decreasing outburst-flood volumes from Tulsequah Lake suggests a continued decline in the volume of this lake.\r\n\r\nPhysical and chemical parameters and concentrations of basic water-quality constituents indicate good water quality. Samples collected at the Taku River gaging station contained low concentrations of trace elements in the dissolved phase. Trace elements sampled were within acceptable limits when compared with the Alaska Department of Environmental Conservation aquatic-life criteria for fresh waters. The highest concentrations of total trace elements sampled were collected during glacial-outburst floods and likely are associated with suspended sediments. Total trace-element concentrations generally increase with increasing water discharge, although a high correlation for all constituents sampled does not always exist.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075027","collaboration":"Prepared in cooperation with the Douglas Indian Association,\r\nAlaska Department of Environmental Conservation, and the\r\nU.S. Environmental Protection Agency","usgsCitation":"Neal, E., 2007, Hydrology and glacier-lake-outburst floods (1987-2004) and water quality (1998-2003) of the Taku River near Juneau, Alaska: U.S. Geological Survey Scientific Investigations Report 2007-5027, vi, 28 p., https://doi.org/10.3133/sir20075027.","productDescription":"vi, 28 p.","numberOfPages":"34","temporalStart":"1987-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":425579,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_80746.htm","linkFileType":{"id":5,"text":"html"}},{"id":9305,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5027/","linkFileType":{"id":5,"text":"html"}},{"id":190521,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Taku River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -131,\n              59.5\n            ],\n            [\n              -134.5,\n              59.5\n            ],\n            [\n              -134.5,\n              57.9\n            ],\n            [\n              -131,\n              57.9\n            ],\n            [\n              -131,\n              59.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e92c","contributors":{"authors":[{"text":"Neal, Edward G.","contributorId":68775,"corporation":false,"usgs":true,"family":"Neal","given":"Edward G.","affiliations":[],"preferred":false,"id":290531,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79665,"text":"ofr20071055 - 2007 - Geochemical data from produced water contamination investigations: Osage-Skiatook Petroleum Environmental Research (OSPER) sites, Osage County, Oklahoma","interactions":[],"lastModifiedDate":"2022-07-05T19:57:56.110626","indexId":"ofr20071055","displayToPublicDate":"2007-02-28T00:00:00","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":"2007-1055","displayTitle":"Geochemical Data from Produced Water Contamination Investigations: Osage-Skiatook Petroleum Environmental Research (OSPER) Sites, Osage County, Oklahoma","title":"Geochemical data from produced water contamination investigations: Osage-Skiatook Petroleum Environmental Research (OSPER) sites, Osage County, Oklahoma","docAbstract":"We report chemical and isotopic analyses of 345 water samples collected from the Osage-Skiatook Petroleum Environmental Research (OSPER) project. Water samples were collected as part of an ongoing multi-year USGS investigation to study the transport, fate, natural attenuation, and ecosystem impacts of inorganic salts and organic compounds present in produced water releases at two oil and gas production sites from an aging petroleum field located in Osage County, in northeast Oklahoma. The water samples were collected primarily from monitoring wells and surface waters at the two research sites, OSPER A (legacy site) and OSPER B (active site), during the period March, 2001 to February, 2005. The data include produced water samples taken from seven active oil wells, one coal-bed methane well and two domestic groundwater wells in the vicinity of the OSPER sites.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071055","usgsCitation":"Thordsen, J., Kharaka, Y.K., Ambats, G., Kakouros, E., and Abbott, M.M., 2007, Geochemical data from produced water contamination investigations: Osage-Skiatook Petroleum Environmental Research (OSPER) sites, Osage County, Oklahoma: U.S. Geological Survey Open-File Report 2007-1055, Report: v, 15 p.; Appendix, https://doi.org/10.3133/ofr20071055.","productDescription":"Report: v, 15 p.; Appendix","numberOfPages":"20","additionalOnlineFiles":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":191890,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9301,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1055/pdf/ofr20071055.pdf","linkFileType":{"id":5,"text":"html"}},{"id":403011,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_80747.htm","linkFileType":{"id":5,"text":"html"}},{"id":367808,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2007/1055/OFR_2007-1055_appendixAB.xls"}],"country":"United States","state":"Oklahoma","county":"Osage County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-96.0004,37.0002],[-95.9999,36.7735],[-95.9996,36.7654],[-95.9999,36.6864],[-96.0002,36.6792],[-96,36.5122],[-96.0003,36.5059],[-96,36.4255],[-96.0003,36.4201],[-96.0001,36.2509],[-95.9996,36.1632],[-95.9997,36.1601],[-96.0755,36.161],[-96.0852,36.1608],[-96.1832,36.1618],[-96.2003,36.1627],[-96.2659,36.1628],[-96.2756,36.1631],[-96.2745,36.1757],[-96.2692,36.182],[-96.2621,36.1873],[-96.2563,36.1912],[-96.2504,36.197],[-96.2474,36.2014],[-96.2466,36.2055],[-96.2485,36.216],[-96.2545,36.2238],[-96.2601,36.2267],[-96.2652,36.2282],[-96.2715,36.2288],[-96.2777,36.2289],[-96.2828,36.2299],[-96.2913,36.2315],[-96.2976,36.2321],[-96.3073,36.2318],[-96.309,36.2319],[-96.3131,36.2306],[-96.3205,36.229],[-96.3257,36.2286],[-96.3365,36.2289],[-96.3444,36.2318],[-96.3589,36.2421],[-96.3671,36.2509],[-96.3753,36.261],[-96.3831,36.268],[-96.3926,36.2723],[-96.4051,36.2762],[-96.4232,36.2802],[-96.4317,36.2836],[-96.4383,36.2887],[-96.442,36.2974],[-96.4447,36.3043],[-96.4456,36.3106],[-96.4488,36.3171],[-96.4515,36.3217],[-96.4525,36.3253],[-96.4564,36.3281],[-96.4575,36.3299],[-96.4597,36.3314],[-96.4677,36.3329],[-96.4723,36.333],[-96.4809,36.33],[-96.4861,36.3287],[-96.4885,36.3265],[-96.4926,36.3234],[-96.4967,36.3181],[-96.5052,36.3055],[-96.5116,36.3016],[-96.5133,36.3007],[-96.5213,36.3],[-96.5242,36.2991],[-96.5271,36.2987],[-96.5488,36.2996],[-96.5573,36.3016],[-96.564,36.304],[-96.5697,36.3064],[-96.5735,36.311],[-96.5751,36.3161],[-96.5761,36.3197],[-96.5765,36.3247],[-96.5763,36.3315],[-96.5744,36.3364],[-96.5702,36.3436],[-96.5643,36.3485],[-96.5568,36.3511],[-96.5453,36.3535],[-96.5366,36.3566],[-96.5291,36.3596],[-96.5278,36.3623],[-96.5264,36.3713],[-96.5221,36.3803],[-96.5247,36.3881],[-96.528,36.3927],[-96.5392,36.4011],[-96.5478,36.3999],[-96.5594,36.3929],[-96.5659,36.388],[-96.5678,36.3812],[-96.5714,36.3759],[-96.5755,36.3741],[-96.5829,36.3738],[-96.5914,36.3772],[-96.5959,36.3791],[-96.6015,36.3833],[-96.6093,36.3898],[-96.6133,36.408],[-96.616,36.4112],[-96.6234,36.4137],[-96.6279,36.4156],[-96.635,36.4257],[-96.6441,36.4268],[-96.6493,36.4264],[-96.6534,36.4251],[-96.6585,36.4234],[-96.6637,36.4221],[-96.674,36.4237],[-96.6872,36.4235],[-96.718,36.4441],[-96.7236,36.4482],[-96.7205,36.4573],[-96.7196,36.4668],[-96.7143,36.4712],[-96.7142,36.493],[-96.7164,36.4971],[-96.7203,36.4995],[-96.7248,36.5014],[-96.7275,36.5064],[-96.728,36.5105],[-96.7284,36.515],[-96.7295,36.5187],[-96.7282,36.5241],[-96.7292,36.5291],[-96.7307,36.5337],[-96.7373,36.5456],[-96.7443,36.5571],[-96.7545,36.5631],[-96.7618,36.5669],[-96.7774,36.5645],[-96.7844,36.5605],[-96.7954,36.5566],[-96.8006,36.5545],[-96.81,36.5465],[-96.8146,36.5438],[-96.8223,36.5381],[-96.8281,36.5323],[-96.8317,36.5283],[-96.8371,36.5211],[-96.8425,36.5103],[-96.8469,36.4991],[-96.8599,36.4843],[-96.8669,36.4776],[-96.871,36.4741],[-96.8751,36.4719],[-96.8797,36.4711],[-96.8837,36.4711],[-96.89,36.4717],[-96.8928,36.4727],[-96.8986,36.4719],[-96.9044,36.4692],[-96.9084,36.4675],[-96.9142,36.4662],[-96.9199,36.4659],[-96.9234,36.465],[-96.9275,36.4606],[-96.9316,36.457],[-96.9385,36.4562],[-96.9561,36.4588],[-96.9663,36.4653],[-96.9748,36.4664],[-96.9822,36.4692],[-96.9906,36.4766],[-97.0012,36.4872],[-97.0057,36.4905],[-97.0112,36.4987],[-97.0116,36.506],[-97.0109,36.5105],[-97.0096,36.5155],[-97.0083,36.5204],[-97.0025,36.5249],[-96.9978,36.5275],[-96.9915,36.5292],[-96.988,36.531],[-96.9828,36.5327],[-96.977,36.5344],[-96.9667,36.5352],[-96.9564,36.535],[-96.9506,36.5367],[-96.946,36.538],[-96.939,36.5424],[-96.9355,36.5455],[-96.929,36.5513],[-96.9261,36.554],[-96.9243,36.554],[-96.9175,36.5529],[-96.906,36.5536],[-96.9003,36.554],[-96.8968,36.5553],[-96.8921,36.5597],[-96.8909,36.5634],[-96.8873,36.5683],[-96.8866,36.5732],[-96.8876,36.5792],[-96.8932,36.5824],[-96.9034,36.5867],[-96.9162,36.6001],[-96.9387,36.5959],[-96.9468,36.5911],[-96.9526,36.5889],[-96.9549,36.589],[-96.9612,36.5882],[-96.974,36.5843],[-96.982,36.583],[-96.986,36.5827],[-96.9952,36.5837],[-97.0032,36.5839],[-97.0153,36.5827],[-97.029,36.5847],[-97.0415,36.5858],[-97.0512,36.5883],[-97.0568,36.5929],[-97.055,36.5979],[-97.0532,36.601],[-97.0469,36.6018],[-97.0473,36.6054],[-97.049,36.6068],[-97.0547,36.6106],[-97.0551,36.6165],[-97.0528,36.6364],[-97.0617,36.651],[-97.0656,36.6547],[-97.067,36.6656],[-97.0666,36.6829],[-97.0606,36.6918],[-97.0548,36.6926],[-97.0491,36.6939],[-97.0253,36.7012],[-97.0238,36.6953],[-97.017,36.6907],[-97.0038,36.6909],[-96.994,36.6903],[-96.9878,36.6875],[-96.9682,36.6889],[-96.958,36.6865],[-96.9477,36.6836],[-96.9345,36.6852],[-96.9263,36.691],[-96.9262,36.6937],[-96.9267,36.6982],[-96.9254,36.7014],[-96.9206,36.7085],[-96.9204,36.7176],[-96.9151,36.7216],[-96.9061,36.7351],[-96.8907,36.7525],[-96.8786,36.7536],[-96.8689,36.7521],[-96.8604,36.7483],[-96.849,36.7445],[-96.8404,36.7434],[-9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James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":290526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":290524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ambats, Gil","contributorId":21235,"corporation":false,"usgs":true,"family":"Ambats","given":"Gil","affiliations":[],"preferred":false,"id":290527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":290525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abbott, Marvin M.","contributorId":89106,"corporation":false,"usgs":true,"family":"Abbott","given":"Marvin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":290528,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79656,"text":"ofr20071013 - 2007 - A 3-Dimensional Model of Water-Bearing Sequences in the Dominguez Gap Region, Long Beach, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"ofr20071013","displayToPublicDate":"2007-02-27T00:00:00","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":"2007-1013","title":"A 3-Dimensional Model of Water-Bearing Sequences in the Dominguez Gap Region, Long Beach, California","docAbstract":"A 3-dimensional computer model of the Quaternary sequence stratigraphy in the Dominguez gap region of Long Beach, California has been developed to provide a robust chronostratigraphic framework for hydrologic and tectonic studies. The model consists of 13 layers within a 16.5 by 16.1 km (10.25 by 10 mile) square area and extends downward to an altitude of -900 meters (-2952.76 feet). Ten sequences of late Pliocene to Holocene age are identified and correlated within the model. Primary data to build the model comes from five reference core holes, extensive high-resolution seismic data obtained in San Pedro Bay, and logs from several hundred water and oil wells drilled in the region. The model is best constrained in the vicinity of the Dominguez gap seawater intrusion barrier where a dense network of subsurface data exist. The resultant stratigraphic framework and geologic structure differs significantly from what has been proposed in earlier studies. \r\n\r\nAn important new discovery from this approach is the recognition of ongoing tectonic deformation throughout nearly all of Quaternary time that has impacted the geometry and character of the sequences. Anticlinal folding along a NW-SE trend, probably associated with Quaternary reactivation of the Wilmington anticline, has uplifted and thinned deposits along the fold crest, which intersects the Dominguez gap seawater barrier near Pacific Coast Highway. A W-NW trending fault system that approximately parallels the fold crest has also been identified. This fault progressively displaces all but the youngest sequences down to the north and serves as the southern termination of the classic Silverado aquifer. \r\n\r\nUplift and erosion of fining-upward paralic sequences along the crest of the young fold has removed or thinned many of the fine-grained beds that serve to protect the underlying Silverado aquifer from seawater contaminated shallow groundwater. As a result of this process, the potential exists for vertical migration of seawater into the producing aquifers and subsequent landward migration of intruded waters beneath the existing Dominguez barrier. Incipient invasion of the Silverado aquifer by chloride-enriched waters is observed in a recently drilled well located along the crest of the fold seaward of the barrier and at a depth of 440 feet (134 meters). \r\n\r\nThese new observations and interpretations indicate that the new sequence-based approach to defining the stratigraphy of the Dominguez Gap area may have important implications for seawater intrusion management. To test this, it will be useful to overlay existing water-quality and water level data onto the framework model and to incorporate the new stratigraphy into a transport model.\r\n","language":"ENGLISH","doi":"10.3133/ofr20071013","collaboration":"In cooperation with the Los Angeles County Department of Public Works and Water Replenishment District of Southern California","usgsCitation":"Ponti, D.J., Ehman, K.D., Edwards, B.D., Tinsley, J., Hildenbrand, T., Hillhouse, J.W., Hanson, R.T., McDougall, K., Powell, C.L., Wan, E., Land, M., Mahan, S., and Sarna-Wojcicki, A.M., 2007, A 3-Dimensional Model of Water-Bearing Sequences in the Dominguez Gap Region, Long Beach, California (Version 1.0): U.S. Geological Survey Open-File Report 2007-1013, iv, 34 p., https://doi.org/10.3133/ofr20071013.","productDescription":"iv, 34 p.","numberOfPages":"38","additionalOnlineFiles":"Y","costCenters":[{"id":648,"text":"Western Earthquake Hazards","active":false,"usgs":true}],"links":[{"id":191968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9292,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1013/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,33.5 ], [ -118.5,34 ], [ -118,34 ], [ -118,33.5 ], [ -118.5,33.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd493ee4b0b290850ef04e","contributors":{"authors":[{"text":"Ponti, Daniel J. 0000-0002-2437-5144 dponti@usgs.gov","orcid":"https://orcid.org/0000-0002-2437-5144","contributorId":1020,"corporation":false,"usgs":true,"family":"Ponti","given":"Daniel","email":"dponti@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":290499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehman, Kenneth D.","contributorId":64745,"corporation":false,"usgs":true,"family":"Ehman","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":290509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Brian D. bedwards@usgs.gov","contributorId":3161,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":290502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tinsley, John C. III jtinsley@usgs.gov","contributorId":3266,"corporation":false,"usgs":true,"family":"Tinsley","given":"John C.","suffix":"III","email":"jtinsley@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":290504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hildenbrand, Thomas","contributorId":100956,"corporation":false,"usgs":true,"family":"Hildenbrand","given":"Thomas","affiliations":[],"preferred":false,"id":290510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hillhouse, John W. 0000-0002-1371-4622 jhillhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-1371-4622","contributorId":2618,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","email":"jhillhouse@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":290501,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McDougall, Kristen 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":52673,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristen","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":290507,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Powell, Charles L. II 0000-0002-1913-555X cpowell@usgs.gov","orcid":"https://orcid.org/0000-0002-1913-555X","contributorId":3243,"corporation":false,"usgs":true,"family":"Powell","given":"Charles","suffix":"II","email":"cpowell@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":290503,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":290505,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Land, Michael 0000-0001-5141-0307","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":56613,"corporation":false,"usgs":true,"family":"Land","given":"Michael","affiliations":[],"preferred":false,"id":290508,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mahan, Shannon 0000-0001-5214-7774","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":19239,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","affiliations":[],"preferred":false,"id":290506,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sarna-Wojcicki, Andrei M. 0000-0002-0244-9149 asarna@usgs.gov","orcid":"https://orcid.org/0000-0002-0244-9149","contributorId":1046,"corporation":false,"usgs":true,"family":"Sarna-Wojcicki","given":"Andrei","email":"asarna@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":290500,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":79624,"text":"tm4E1 - 2007 - Guidelines for preparation of State water-use estimates for 2005","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"tm4E1","displayToPublicDate":"2007-02-10T00:00:00","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":"4-E1","title":"Guidelines for preparation of State water-use estimates for 2005","docAbstract":"The U.S. Geological Survey (USGS) has estimated the use of water in the United States at 5-year intervals since 1950. This report describes the water-use categories and data elements required for the 2005 national water-use compilation conducted as part of the USGS National Water Use Information Program. The report identifies sources of water-use information, provides standard methods and techniques for estimating water use at the county level, and outlines steps for preparing documentation for the United States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands.\r\n\r\nAs part of this USGS program to document water use on a national scale for the year 2005, estimates of water withdrawals for the categories of public supply, self-supplied domestic, industrial, irrigation, and thermoelectric power at the county level are prepared for each State using the guidelines in this report. Estimates of water withdrawals for aquaculture, livestock, and mining are prepared for each State using a county-based national model, although study chiefs in each State have the option of producing independent county estimates of water withdrawals for these categories. Estimates of deliveries of water from public supplies for domestic use by county also will be prepared for each State for 2005. As a result, domestic water use can be determined for each State by combining self-supplied domestic withdrawals and publicly supplied domestic deliveries. Fresh ground-water and surfacewater estimates will be prepared for all categories of use; and saline ground-water and surface-water estimates by county will be prepared for the categories of public supply, industrial, and thermoelectric power. Power production for thermoelectric power will be compiled for 2005. If data are available, reclaimed wastewater use will be compiled for the industrial and irrigation categories.\r\n\r\nOptional water-use categories are commercial, hydroelectric power, and wastewater treatment. Optional data elements are public-supply deliveries to commercial, industrial, and thermoelectric-power users; consumptive use; irrigation conveyance loss; and number of facilities. Aggregation of water-use data by eight-digit hydrologic cataloging unit and by principal aquifer also is optional.\r\n\r\nWater-use data compiled by the States will be stored in the USGS Aggregate Water-Use Data System (AWUDS). This database is a comprehensive aggregated database designed to store both mandatory and optional data elements. AWUDS contains several routines that can be used for quality assurance and quality control of the data, and produces tables of wateruse data compiled for 1985, 1990, 1995, and 2000.\r\n","language":"ENGLISH","doi":"10.3133/tm4E1","collaboration":"Book 4, Chapter E1","usgsCitation":"Hutson, S.S., 2007, Guidelines for preparation of State water-use estimates for 2005: U.S. Geological Survey Techniques and Methods 4-E1, viii, 28 p., https://doi.org/10.3133/tm4E1.","productDescription":"viii, 28 p.","numberOfPages":"36","onlineOnly":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":194445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9252,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2007/tm4e1/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a088","contributors":{"authors":[{"text":"Hutson, Susan S. sshutson@usgs.gov","contributorId":2040,"corporation":false,"usgs":true,"family":"Hutson","given":"Susan","email":"sshutson@usgs.gov","middleInitial":"S.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290408,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79611,"text":"tm4A6 - 2007 - The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites","interactions":[],"lastModifiedDate":"2023-03-10T13:02:12.06327","indexId":"tm4A6","displayToPublicDate":"2007-02-04T00:00:00","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":"4-A6","title":"The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites","docAbstract":"The National Streamflow Statistics (NSS) Program is a computer program that should be useful to engineers, hydrologists, and others for planning, management, and design applications. NSS compiles all current U.S. Geological Survey (USGS) regional regression equations for estimating streamflow statistics at ungaged sites in an easy-to-use interface that operates on computers with Microsoft Windows operating systems. NSS expands on the functionality of the USGS National Flood Frequency Program, and replaces it.\r\n\r\nThe regression equations included in NSS are used to transfer streamflow statistics from gaged to ungaged sites through the use of watershed and climatic characteristics as explanatory or predictor variables. Generally, the equations were developed on a statewide or metropolitan-area basis as part of cooperative study programs. Equations are available for estimating rural and urban flood-frequency statistics, such as the 1 00-year flood, for every state, for Puerto Rico, and for the island of Tutuila, American Samoa. Equations are available for estimating other statistics, such as the mean annual flow, monthly mean flows, flow-duration percentiles, and low-flow frequencies (such as the 7-day, 0-year low flow) for less than half of the states. All equations available for estimating streamflow statistics other than flood-frequency statistics assume rural (non-regulated, non-urbanized) conditions.\r\n\r\nThe NSS output provides indicators of the accuracy of the estimated streamflow statistics. The indicators may include any combination of the standard error of estimate, the standard error of prediction, the equivalent years of record, or 90 percent prediction intervals, depending on what was provided by the authors of the equations.\r\n\r\nThe program includes several other features that can be used only for flood-frequency estimation. These include the ability to generate flood-frequency plots, and plots of typical flood hydrographs for selected recurrence intervals, estimates of the probable maximum flood, extrapolation of the 500-year flood when an equation for estimating it is not available, and weighting techniques to improve flood-frequency estimates for gaging stations and ungaged sites on gaged streams.\r\n\r\nThis report describes the regionalization techniques used to develop the equations in NSS and provides guidance on the applicability and limitations of the techniques. The report also includes a users manual and a summary of equations available for estimating basin lagtime, which is needed by the program to generate flood hydrographs. The NSS software and accompanying database, and the documentation for the regression equations included in NSS, are available on the Web at http://water.usgs.gov/software/.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm4A6","collaboration":"Chapter 6 of\r\nBook 4, Hydrologic Analysis and Interpretation\r\nSection A, Statistical Analysis","usgsCitation":"Ries, K.G., With sections by Atkins, J.B., Hummel, P., Gray, M., Dusenbury, R., Jennings, M., Kirby, W., Riggs, H.C., Sauer, V., and Thomas, W., 2007, The National Streamflow Statistics Program: A Computer Program for Estimating Streamflow Statistics for Ungaged Sites: U.S. Geological Survey Techniques and Methods 4-A6, vi, 37 p., https://doi.org/10.3133/tm4A6.","productDescription":"vi, 37 p.","numberOfPages":"43","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":124332,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_4_a6.gif"},{"id":9234,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2006/tm4a6/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b054","contributors":{"authors":[{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":30312,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell","suffix":"III","email":"kries@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":290358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"With sections by Atkins, J. B.","contributorId":58368,"corporation":false,"usgs":true,"family":"With sections by Atkins","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":290362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hummel, P.R.","contributorId":73642,"corporation":false,"usgs":true,"family":"Hummel","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":290364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Matthew J.","contributorId":101343,"corporation":false,"usgs":true,"family":"Gray","given":"Matthew J.","affiliations":[],"preferred":false,"id":290366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dusenbury, R.","contributorId":33011,"corporation":false,"usgs":true,"family":"Dusenbury","given":"R.","email":"","affiliations":[],"preferred":false,"id":290360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings, M.E.","contributorId":76775,"corporation":false,"usgs":true,"family":"Jennings","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":290365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirby, W.H.","contributorId":65468,"corporation":false,"usgs":true,"family":"Kirby","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":290363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Riggs, H. C.","contributorId":17210,"corporation":false,"usgs":true,"family":"Riggs","given":"H.","email":"","middleInitial":"C.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":290357,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sauer, V.B.","contributorId":39380,"corporation":false,"usgs":true,"family":"Sauer","given":"V.B.","email":"","affiliations":[],"preferred":false,"id":290361,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thomas, W.O. Jr.","contributorId":32133,"corporation":false,"usgs":true,"family":"Thomas","given":"W.O.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":290359,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70159343,"text":"70159343 - 2007 - The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling","interactions":[],"lastModifiedDate":"2015-10-22T11:52:33","indexId":"70159343","displayToPublicDate":"2007-02-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling","docAbstract":"<p><span>A wide variety of ecological applications require spatially explicit, historic, current, and projected land use and land cover data. The U.S. Land Cover Trends project is analyzing contemporary (1973&ndash;2000) land-cover change in the conterminous United States. The newly developed FORE-SCE model used Land Cover Trends data and theoretical, statistical, and deterministic modeling techniques to project future land cover change through 2020 for multiple plausible scenarios. Projected proportions of future land use were initially developed, and then sited on the lands with the highest potential for supporting that land use and land cover using a statistically based stochastic allocation procedure. Three scenarios of 2020 land cover were mapped for the western Great Plains in the US. The model provided realistic, high-resolution, scenario-based land-cover products suitable for multiple applications, including studies of climate and weather variability, carbon dynamics, and regional&nbsp;</span><a href=\"http://hydrology.sohl@usgs.gov/\" target=\"_blank\">hydrology.</a></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17474230701218202","usgsCitation":"Sohl, T.L., Sayler, K., Drummond, M.A., and Loveland, T., 2007, The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling: Journal of Land Use Science, v. 2, no. 2, p. 103-126, https://doi.org/10.1080/17474230701218202.","productDescription":"24 p.","startPage":"103","endPage":"126","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17474230701218202","text":"Publisher Index Page"},{"id":310455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08f4e4b011227bf1fde7","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":578094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":578096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":578097,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79606,"text":"fs20073001 - 2007 - Investigating the Environmental Effects of Agriculture Practices on Natural Resources: Scientific Contributions of the U.S. Geological Survey to Enhance the Management of Agricultural Landscapes","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"fs20073001","displayToPublicDate":"2007-01-31T00:00:00","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":"2007-3001","title":"Investigating the Environmental Effects of Agriculture Practices on Natural Resources: Scientific Contributions of the U.S. Geological Survey to Enhance the Management of Agricultural Landscapes","docAbstract":"The U.S. Geological Survey (USGS) enhances and protects the quality of life in the United States by advancing scientific knowledge to facilitate effective management of hydrologic, biologic, and geologic resources. Results of selected USGS research and monitoring projects in agricultural landscapes are presented in this Fact Sheet. Significant environmental and social issues associated with agricultural production include changes in the hydrologic cycle; introduction of toxic chemicals, nutrients, and pathogens; reduction and alteration of wildlife habitats; and invasive species. Understanding environmental consequences of agricultural production is critical to minimize unintended environmental consequences. The preservation and enhancement of our natural resources can be achieved by measuring the success of improved management practices and by adjusting conservation policies as needed to ensure long-term protection. ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073001","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Investigating the Environmental Effects of Agriculture Practices on Natural Resources: Scientific Contributions of the U.S. Geological Survey to Enhance the Management of Agricultural Landscapes (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3001, 6 p., https://doi.org/10.3133/fs20073001.","productDescription":"6 p.","numberOfPages":"6","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":9229,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3001/","linkFileType":{"id":5,"text":"html"}},{"id":125004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3001.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48b2e4b07f02db530e08","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79601,"text":"fs20073006 - 2007 - Regional Water-Resources Studies in Nevada","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"fs20073006","displayToPublicDate":"2007-01-30T00:00:00","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":"2007-3006","title":"Regional Water-Resources Studies in Nevada","docAbstract":"Introduction: Water-resources information for the State of Nevada should be readily accessible to community planners and the general public in a user-friendly web environment and should be actively managed and maintained with accurate historic and current hydrologic data. The USGS, in cooperation with State of Nevada and local government agencies, has established a data framework that provides critical hydrologic information to meet the challenges of water resources planning for Nevada.\r\n\r\n","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073006","usgsCitation":"Bauer, E.M., and Watermolen, S.C., 2007, Regional Water-Resources Studies in Nevada: U.S. Geological Survey Fact Sheet 2007-3006, 2 p., https://doi.org/10.3133/fs20073006.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":121350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3006.jpg"},{"id":9222,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3006/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629c7f","contributors":{"authors":[{"text":"Bauer, Eva M.","contributorId":60737,"corporation":false,"usgs":true,"family":"Bauer","given":"Eva","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":290337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watermolen, Shannon C. scwaterm@usgs.gov","contributorId":3239,"corporation":false,"usgs":true,"family":"Watermolen","given":"Shannon","email":"scwaterm@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":290336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79576,"text":"fs20063147 - 2007 - Harmful algal blooms","interactions":[],"lastModifiedDate":"2020-03-18T06:45:21","indexId":"fs20063147","displayToPublicDate":"2007-01-19T00:00:00","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":"2006-3147","displayTitle":"Harmful Algal Blooms","title":"Harmful algal blooms","docAbstract":"What are Harmful Algal Blooms (HABs)?\r\nFreshwater and marine harmful algal blooms (HABs) can occur anytime water use is impaired due to excessive accumulations of algae. HAB occurrence is affected by a complex set of physical, chemical, biological, hydrological, and meteorological conditions making it difficult to isolate specific causative environmental factors. Potential impairments include reduction in water quality, accumulation of malodorous scums in beach areas, algal production of toxins potent enough to poison both aquatic and terrestrial organisms, and algal production of taste-and-odor compounds that cause unpalatable drinking water and fish. HABs are a global problem, and toxic freshwater and (or) marine algae have been implicated in human and animal illness and death in over 45 countries worldwide and in at least 27 U.S. States (Yoo and others, 1995; Chorus and Bartram, 1999; Huisman and others, 2005).\r\n\r\n","language":"English","publisher":"U.S. Geological Society","doi":"10.3133/fs20063147","usgsCitation":"Graham, J.L., 2007, Harmful algal blooms: U.S. Geological Survey Fact Sheet 2006-3147, 2 p., https://doi.org/10.3133/fs20063147.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":120843,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3147.jpg"},{"id":9195,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3147/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,5.555555555555556E-4 ], [ -0.01611111111111111,0.001388888888888889 ], [ -65,0.001388888888888889 ], [ -65,5.555555555555556E-4 ], [ -0.01611111111111111,5.555555555555556E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698617","contributors":{"authors":[{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047629,"text":"sir20075289F - 2007 - Aufeis accumulations in stream bottoms in arctic and subarctic environments as a possible indicator of geologic structure: Chapter F in <i>Recent U.S. Geological Survey studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada--results of a 5-year project</i>","interactions":[],"lastModifiedDate":"2018-10-22T11:17:12","indexId":"sir20075289F","displayToPublicDate":"2007-01-01T12:32:00","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":"2007-5289","chapter":"F","title":"Aufeis accumulations in stream bottoms in arctic and subarctic environments as a possible indicator of geologic structure: Chapter F in <i>Recent U.S. Geological Survey studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada--results of a 5-year project</i>","docAbstract":"Thick accumulations of ice, called “aufeis,” form during \nwinter along stream and river valleys in arctic and subarctic \nregions. In high-gradient alpine streams, aufeis forms mostly \nas a result of ground-water discharge into the stream channel. \nThe ice occludes this discharge, perturbing the steady-state \ncondition, and causing an incremental rise in the local water \ntable until discharge occurs higher on the stream bank above \nthe previously formed ice. Successive freezing of onlapping \nice layers can lead to aufeis accumulations several meters \nthick.\nThe location and extent of aufeis in high-gradient streams \nmay be useful to relate local hydrology to geologic structure. \nIn the Goodpaster River basin study area, mineral deposits \nare known to occur, the location of which may be structurally \ncontrolled. Therefore, a more thorough understanding of \nregional geologic structures may facilitate a more detailed \nunderstanding of the genesis of the mineral deposits.\nExtensive aufeis was observed during visits to the \nGoodpaster River basin in east-central Alaska during 1999, \n2001, and 2002. Seeps from the sides of the valleys caused \nice to build up, giving the ice surface a concave-upward \nshape perpendicular to the stream direction. This concavity is \nevidence for ground-water discharge along the length of the \naufeis, as opposed to discharge from a single upstream point. \nDuring thaw, streamflow is commonly observed out of the \nnormal channel, evidence that occlusion of the channel (and \nshallow sediments) by ice is a viable mechanism for causing \nthe water table to rise.\nThe thickest (>3 meters) and most extensive aufeis \n(100’s of meters to kilometers along valleys) coincided with \nlocations of laterally extensive (>5 kilometers) mapped \nhigh-angle brittle fault zones, suggesting that the fault zones \nare hydraulically conductive. Additional evidence of water flow is provided by observed changes in stream-water chemistry in reaches in which aufeis forms, despite a lack of \nsurface tributaries. Minor or no aufeis was observed in many \nother drainage valleys where no laterally extensive structures \nhave been mapped, implying that aufeis formation results from \nmore than a topographic effect or discharge from bank storage. \nThus, the presence of thick, laterally extensive aufeis in highgradient streams may be a useful aid to geologic structural \nmapping in arctic and subarctic climates.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Recent U.S. Geological Survey studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada--results of a 5-year project (Scientific Investigations Report 2007-5289)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075289F","collaboration":"This report is Chapter F in <i>Recent U.S. Geological Survey studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada--results of a 5-year project</i>.  For more information, see: <a href=\"http://pubs.usgs.gov/sir/2007/5289/\" target=\"_blank\">Scientific Investigation Report 2007-5289</a>.","usgsCitation":"Wanty, R.B., Wang, B., Vohden, J., Day, W.C., and Gough, L.P., 2007, Aufeis accumulations in stream bottoms in arctic and subarctic environments as a possible indicator of geologic structure: Chapter F in <i>Recent U.S. Geological Survey studies in the Tintina Gold Province, Alaska, United States, and Yukon, Canada--results of a 5-year project</i>: U.S. Geological Survey Scientific Investigations Report 2007-5289, iii, 9 p., https://doi.org/10.3133/sir20075289F.","productDescription":"iii, 9 p.","numberOfPages":"14","costCenters":[{"id":244,"text":"Eastern Mineral Resources Science Center","active":false,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":276641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20075289f.jpg"},{"id":276639,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2007/5289/SIR2007-5289-F.pdf"},{"id":276640,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5289/"}],"country":"Canada;United States","state":"Alaska;Yukon","otherGeospatial":"Tintina Gold Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -163.0,59.0 ], [ -163.0,67.0 ], [ -126.0,67.0 ], [ -126.0,59.0 ], [ -163.0,59.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520df863e4b08494c3cb05c2","contributors":{"editors":[{"text":"Gough, Larry P. lgough@usgs.gov","contributorId":1230,"corporation":false,"usgs":true,"family":"Gough","given":"Larry","email":"lgough@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":509572,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":509573,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":482574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Bronwen 0000-0003-1044-2227 bwang@usgs.gov","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":2351,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","email":"bwang@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":482577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vohden, Jim","contributorId":33350,"corporation":false,"usgs":true,"family":"Vohden","given":"Jim","email":"","affiliations":[],"preferred":false,"id":482578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":482576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gough, Larry P. lgough@usgs.gov","contributorId":1230,"corporation":false,"usgs":true,"family":"Gough","given":"Larry","email":"lgough@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":482575,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199107,"text":"70199107 - 2007 - Uranium(VI) release from contaminated vadose zone sediments: Estimation of potential contributions from dissolution and desorption","interactions":[],"lastModifiedDate":"2023-06-30T11:24:30.447923","indexId":"70199107","displayToPublicDate":"2007-01-01T10:57:40","publicationYear":"2007","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Uranium(VI) release from contaminated vadose zone sediments: Estimation of potential contributions from dissolution and desorption","docAbstract":"<p><span>A key difficulty in developing accurate, science-based conceptual models for remediation of contaminated field sites is the proper accounting of multiple coupled geochemical and hydrologic processes. An example of such a difficulty is the separation of&nbsp;desorption&nbsp;and dissolution processes in releasing contaminants from sediments to groundwaters; very few studies are found in the literature that attempt to quantify contaminant release by these two processes. In this study, the results from several extraction techniques, isotopic exchange experiments, and published spectroscopic studies were combined to estimate the contributions of desorption and dissolution to U(VI) release from contaminated sediments collected from the vadose zone beneath former&nbsp;waste disposal&nbsp;ponds in the Hanford 300-Area (Washington State).&nbsp;Vertical profiles&nbsp;of sediments were collected at four locations from secondary pond surfaces down to, and slightly below, the&nbsp;water table. In three of the four profiles,&nbsp;uraniumconcentration gradients were observed in the sediments, with the highest U concentrations at the top of the profile. One of the vertical profiles contained sediments with U concentrations up to 4.2×10</span><sup>−7</sup><span>&nbsp;</span><span>mol</span><span>&nbsp;</span><span>g</span><sup>−1</sup><span>&nbsp;(100</span><span>&nbsp;</span><span>ppm). U(VI) release to artificial groundwater solutions (AGWs) and extracts from these high-U concentration sediments occurred primarily from dissolution of precipitated U(VI) minerals, including the mineral metatorbernite, [Cu(UO</span><sub>2</sub><span>PO</span><sub>4</sub><span>)</span><sub>2</sub><span>·8H</span><sub>2</sub><span>O]. At the bottom of this profile, beneath the water table, and in all three of the other profiles, U concentrations were &lt;5.88×10</span><sup>−8</sup><span>&nbsp;</span><span>mol</span><span>&nbsp;</span><span>g</span><sup>−1</sup><span>&nbsp;(14</span><span>&nbsp;</span><span>ppm), and U(VI) release to AGWs occurred primarily due to desorption of U(VI). When reacted in batch experiments with AGWs with compositions representative of the range of chemical conditions in the underlying&nbsp;aquifer, all samples released U(VI) at concentrations greater than regulatory limits within few hours. A semi-mechanistic surface&nbsp;complexation&nbsp;model was developed to describe U(VI)&nbsp;adsorption&nbsp;on sediments collected from near the water table, as a function of pH,&nbsp;alkalinity, and Ca and U(VI) concentrations, using ranges in these variables relevant to groundwater conditions in the aquifer. Dilute (bi)carbonate solution extractions and uranium isotopic exchange methods were capable of estimating adsorbed U(VI) in samples where U(VI) release was predominantly due to U(VI) desorption; these techniques were not effective at estimating adsorbed U(VI) where U(VI) release was affected by dissolution of U(VI) minerals. The combination of extraction and isotopic exchange results, spectroscopic studies, and surface complexation modeling allow an adequate understanding for the development of a geochemical conceptual model for U(VI) release to the aquifer. The overall approach has generic value for evaluating the potential for release of metals and&nbsp;radionuclides&nbsp;from sediments that contain both precipitated and adsorbed contaminant speciation.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in earth and environmental sciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/S1571-9197(07)07014-0","usgsCitation":"Bond, D.L., Davis, J., and Zachara, J.M., 2007, Uranium(VI) release from contaminated vadose zone sediments: Estimation of potential contributions from dissolution and desorption, chap. 14 <i>of</i> Developments in earth and environmental sciences, v. 7, p. 375-416, https://doi.org/10.1016/S1571-9197(07)07014-0.","productDescription":"42 p.","startPage":"375","endPage":"416","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":357046,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98c09ce4b0702d0e845c2f","contributors":{"authors":[{"text":"Bond, Deborah L.","contributorId":207537,"corporation":false,"usgs":false,"family":"Bond","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":744114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, James A.","contributorId":69289,"corporation":false,"usgs":true,"family":"Davis","given":"James A.","affiliations":[],"preferred":false,"id":744115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":744116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70120875,"text":"70120875 - 2007 - Spatially continuous interpolation of water stage and water depths using the Everglades depth estimation network (EDEN)","interactions":[],"lastModifiedDate":"2014-08-18T11:03:53","indexId":"70120875","displayToPublicDate":"2007-01-01T10:49:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesNumber":"1521","title":"Spatially continuous interpolation of water stage and water depths using the Everglades depth estimation network (EDEN)","docAbstract":"<p>The Everglades Depth Estimation Network (EDEN) is an integrated network of real-time water-level monitoring, ground-elevation modeling, and water-surface modeling that provides scientists and managers with current (2000-present), online water-stage and water-depth information for the entire freshwater portion of the Greater Everglades. Continuous daily spatial interpolations of the EDEN network stage data are presented on a 400-square-meter grid spacing. EDEN offers a consistent and documented dataset that can be used by scientists and managers to (1) guide large-scale field operations, (2) integrate hydrologic and ecological responses, and (3) support biological and ecological assessments that measure ecosystem responses to the implementation of the Comprehensive Everglades Restoration Plan (CERP) The target users are biologists and ecologists examining trophic level responses to hydrodynamic changes in the Everglades.</p>","language":"English","publisher":"University of Florida IFAS Extension","publisherLocation":"Gainesville, FL","usgsCitation":"Pearlstine, L., Higer, A., Palaseanu, M., Fujisaki, I., and Mazzotti, F., 2007, Spatially continuous interpolation of water stage and water depths using the Everglades depth estimation network (EDEN), 21 p.","productDescription":"21 p.","numberOfPages":"21","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":292401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292400,"type":{"id":15,"text":"Index Page"},"url":"https://edis.ifas.ufl.edu/uw278"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.521,25.0945 ], [ -81.521,26.662 ], [ -80.174,26.662 ], [ -80.174,25.0945 ], [ -81.521,25.0945 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f25feee4b033341871895b","contributors":{"authors":[{"text":"Pearlstine, Leonard","contributorId":79174,"corporation":false,"usgs":true,"family":"Pearlstine","given":"Leonard","affiliations":[],"preferred":false,"id":498527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higer, Aaron","contributorId":102513,"corporation":false,"usgs":true,"family":"Higer","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":498529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palaseanu, Monica 0000-0002-3786-5118","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":91028,"corporation":false,"usgs":true,"family":"Palaseanu","given":"Monica","affiliations":[],"preferred":false,"id":498528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":498525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank","contributorId":32609,"corporation":false,"usgs":true,"family":"Mazzotti","given":"Frank","affiliations":[],"preferred":false,"id":498526,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198604,"text":"70198604 - 2007 - Accounting for tomographic resolution in estimating hydrologic properties from geophysical data","interactions":[],"lastModifiedDate":"2019-10-17T10:04:22","indexId":"70198604","displayToPublicDate":"2007-01-01T10:24:34","publicationYear":"2007","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"title":"Accounting for tomographic resolution in estimating hydrologic properties from geophysical data","docAbstract":"<p>No abstract available.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Subsurface hydrology: Data integration for properties and processes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/171GM16","isbn":"978-0-87590-437-5","usgsCitation":"Singha, K., Day-Lewis, F.D., and Moysey, S., 2007, Accounting for tomographic resolution in estimating hydrologic properties from geophysical data, chap. <i>of</i> Subsurface hydrology: Data integration for properties and processes: Geophysical Monograph, p. 227-242, https://doi.org/10.1029/171GM16.","productDescription":"16 p.","startPage":"227","endPage":"242","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":356379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98c09de4b0702d0e845c31","contributors":{"editors":[{"text":"Hyndman, D.W.","contributorId":83318,"corporation":false,"usgs":true,"family":"Hyndman","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":742127,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":742128,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Singha, K.","contributorId":201025,"corporation":false,"usgs":false,"family":"Singha","given":"K.","email":"","affiliations":[],"preferred":false,"id":742129,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Singha, K.","contributorId":201025,"corporation":false,"usgs":false,"family":"Singha","given":"K.","email":"","affiliations":[],"preferred":false,"id":742124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":742125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moysey, S.","contributorId":100153,"corporation":false,"usgs":true,"family":"Moysey","given":"S.","email":"","affiliations":[],"preferred":false,"id":742126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199124,"text":"70199124 - 2007 - Overview of issues in subsurface and landfill microbiology","interactions":[],"lastModifiedDate":"2018-09-05T10:15:07","indexId":"70199124","displayToPublicDate":"2007-01-01T10:12:28","publicationYear":"2007","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"65","title":"Overview of issues in subsurface and landfill microbiology","docAbstract":"<p><span>To date, the majority of evidence indicates that most subsurface environments possess climax ecological communities that are well adapted to the environment in which they live. Like their counterparts on the surface, subsurface ecosystems are characterized by a high degree of microbiological diversity, they possess trophic structure, and they exhibit material cycling and energy transfer. Members of such ecosystems typically possess structural, physiological, or reproductive adaptations that allow them to disperse and survive in such habitats. Current studies argue that microbial activities influence the geochemical processes in both landfills and subsurface environments and that the altered geochemistry, in turn, influences the selection of microorganisms proliferating in the habitat. However, while microbial activity may often be limited by the availability of electron donors in uncontaminated aquifer systems, this is rarely the case with landfills. Sections in this chapter provide investigators with a greater understanding of the experimental approaches needed to study the microbiology of the terrestrial subsurface and an appreciation of interpretational limits imposed by the existing methodologies. The hope is that further study of subsurface microorganisms will provide insights into the process of microbial evolution and possibly into the origins of life itself.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Manual of environmental microbiology","language":"English","publisher":"ASM Press","publisherLocation":"Washington, D.C.","doi":"10.1128/9781555815882.ch65","usgsCitation":"Harvey, R.W., Suflita, J.M., McInerney, M.K., and Mills, A., 2007, Overview of issues in subsurface and landfill microbiology, chap. 65 <i>of</i> Manual of environmental microbiology, p. 795-798, https://doi.org/10.1128/9781555815882.ch65.","productDescription":"4 p.","startPage":"795","endPage":"798","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":357072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3","noUsgsAuthors":false,"publicationDate":"2007-05-14","publicationStatus":"PW","scienceBaseUri":"5b98c09de4b0702d0e845c33","contributors":{"editors":[{"text":"Hurst, C. J.","contributorId":206942,"corporation":false,"usgs":false,"family":"Hurst","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":744243,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Crawford, R.","contributorId":175434,"corporation":false,"usgs":false,"family":"Crawford","given":"R.","affiliations":[],"preferred":false,"id":744244,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Garland, J.","contributorId":100268,"corporation":false,"usgs":true,"family":"Garland","given":"J.","email":"","affiliations":[],"preferred":false,"id":744245,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Lipson, D.A.","contributorId":207564,"corporation":false,"usgs":false,"family":"Lipson","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":744246,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Mills, A.L.","contributorId":33485,"corporation":false,"usgs":true,"family":"Mills","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":744247,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Stetzenbach, L.D.","contributorId":207563,"corporation":false,"usgs":false,"family":"Stetzenbach","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":744248,"contributorType":{"id":2,"text":"Editors"},"rank":6}],"authors":[{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":744239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suflita, Joseph M.","contributorId":187604,"corporation":false,"usgs":false,"family":"Suflita","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":744240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McInerney, Michael K.","contributorId":196370,"corporation":false,"usgs":false,"family":"McInerney","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":744241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, Aaron L.","contributorId":189745,"corporation":false,"usgs":false,"family":"Mills","given":"Aaron L.","affiliations":[],"preferred":false,"id":744242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70094910,"text":"ofr20071047SRP065 - 2007 - Analysis of continuous GPS measurements from southern Victoria Land, Antarctica","interactions":[],"lastModifiedDate":"2014-02-25T09:55:00","indexId":"ofr20071047SRP065","displayToPublicDate":"2007-01-01T09:37:00","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":"2007-1047-SRP-064","title":"Analysis of continuous GPS measurements from southern Victoria Land, Antarctica","docAbstract":"Several years of continuous data have been collected at remote bedrock Global Positioning System (GPS) \nsites in southern Victoria Land, Antarctica. Annual to sub-annual variations are observed in the position time-series. An \natmospheric pressure loading (APL) effect is calculated from pressure field anomalies supplied by the European Centre \nfor Medium-Range Weather Forecasts (ECMWF) model loading an elastic Earth model. The predicted APL signal has \na moderate correlation with the vertical position time-series at McMurdo, Ross Island (International Global Navigation \nSatellite System Service (IGS) station MCM4), produced using a global solution. In contrast, a local solution in which \nMCM4 is the fiducial site generates a vertical time series for a remote site in Victoria Land (Cape Roberts, ROB4) \nwhich exhibits a low, inverse correlation with the predicted atmospheric pressure loading signal. If, in the future, \nknown and well modeled geophysical loads can be separated from the time-series, then local hydrological loading, of \ninterest for glaciological and climate applications, can potentially be extracted from the GPS time-series.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Antarctica: A Keystone in a Changing World--Online Proceedings for the Tenth International Symposium on Antarctic Earth Sciences. Santa Barbara, California, U.S.A.--August 26 to September 1, 2007","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071047SRP065","usgsCitation":"Willis, M., 2007, Analysis of continuous GPS measurements from southern Victoria Land, Antarctica: U.S. Geological Survey Open-File Report 2007-1047-SRP-064, 5 p., https://doi.org/10.3133/ofr20071047SRP065.","productDescription":"5 p.","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":282730,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2007/1047/srp/srp064/of2007-1047srp064.pdf"},{"id":282731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071047SRP065.JPG"}],"otherGeospatial":"Antarctica;Victoria Land","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 149.96,-79.11 ], [ 149.96,-70.28 ], [ 170.34,-70.28 ], [ 170.34,-79.11 ], [ 149.96,-79.11 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4cd5e4b0b290850f134b","contributors":{"authors":[{"text":"Willis, Michael J.","contributorId":11118,"corporation":false,"usgs":true,"family":"Willis","given":"Michael J.","affiliations":[],"preferred":false,"id":490932,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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