{"pageNumber":"746","pageRowStart":"18625","pageSize":"25","recordCount":40783,"records":[{"id":70004698,"text":"ofr20111141 - 2011 - Watershed regressions for pesticides (WARP) for predicting atrazine concentration in Corn Belt streams","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111141","displayToPublicDate":"2011-06-21T16:50:03","publicationYear":"2011","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":"2011-1141","title":"Watershed regressions for pesticides (WARP) for predicting atrazine concentration in Corn Belt streams","docAbstract":"Watershed Regressions for Pesticides (WARP) models, previously developed for atrazine at the national scale, can be improved for application to the U.S. Corn Belt region by developing region-specific models that include important watershed characteristics that are influential in predicting atrazine concentration statistics within the Corn Belt. WARP models for the Corn Belt (WARP-CB) were developed for predicting annual maximum moving-average (14-, 21-, 30-, 60-, and 90-day durations) and annual 95th-percentile atrazine concentrations in streams of the Corn Belt region. All streams used in development of WARP-CB models drain watersheds with atrazine use intensity greater than 17 kilograms per square kilometer (kg/km2). The WARP-CB models accounted for 53 to 62 percent of the variability in the various concentration statistics among the model-development sites.\nThe 95-percent prediction intervals are well within a factor of 10 above and below the predicted concentration statistic. WARP-CB model predictions were within a factor of 5 of the observed concentration statistic for over 90 percent of the model-development sites. The WARP-CB residuals and uncertainty are lower than those of the National WARP model for the same sites. The WARP-CB models provide improved predictions of the probability of exceeding a specified criterion or benchmark for Corn Belt streams draining watersheds with high atrazine use intensities; however, National WARP models should be used for Corn Belt streams where atrazine use intensities are less than 17 kg/km2 of watershed area.","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111141","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Stone, W.W., and Gilliom, R.J., 2011, Watershed regressions for pesticides (WARP) for predicting atrazine concentration in Corn Belt streams: U.S. Geological Survey Open-File Report 2011-1141, vii, 15 p.; Appendices; Appendix 1; Appendix 2, https://doi.org/10.3133/ofr20111141.","productDescription":"vii, 15 p.; Appendices; Appendix 1; Appendix 2","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":116220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1141.gif"},{"id":21917,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1141/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47c8e4b07f02db4ab7ea","contributors":{"authors":[{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":351185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":351184,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004691,"text":"sir20115050 - 2011 - Simulation of the effects of Devils Lake outlet alternatives on future lake levels and downstream water quality in the Sheyenne River and Red River of the North","interactions":[],"lastModifiedDate":"2023-12-14T22:38:48.810231","indexId":"sir20115050","displayToPublicDate":"2011-06-21T13:50:03","publicationYear":"2011","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":"2011-5050","title":"Simulation of the effects of Devils Lake outlet alternatives on future lake levels and downstream water quality in the Sheyenne River and Red River of the North","docAbstract":"

Since 1992, Devils Lake in northeastern North Dakota has risen nearly 30 feet, destroying hundreds of homes, inundating thousands of acres of productive farmland, and costing more than $1 billion for road raises, levee construction, and other flood mitigation measures. In 2011, the lake level is expected to rise at least another 2 feet above the historical record set in 2010 (1,452.0 feet above the National Geodetic Vertical Datum of 1929), cresting less than 4 feet from the lake's natural spill elevation to the Sheyenne River (1,458.0 feet). In an effort to slow the rising lake and reduce the chance of an uncontrolled spill, the State of North Dakota is considering options to expand a previously constructed outlet from the west end of Devils Lake or construct a second outlet from East Devils Lake. Future outlet discharges from Devils Lake, when combined with downstream receiving waters, need to be in compliance with applicable Clean Water Act requirements. This study was completed by the U.S. Geological Survey, in cooperation with the North Dakota Department of Health Division of Water Quality, to evaluate the various outlet alternatives with respect to their effect on downstream water quality and their ability to control future lake levels.

A Devils Lake stochastic simulation model developed in previous studies was modified and combined with a downstream stochastic routing model developed for this study to simulate future (2011–30) Devils Lake levels and water quality, and outlet discharges, flows, and water quality (specifically, dissolved sulfate and total dissolved solids concentrations) for key downstream locations. Outlet alternatives include: (1) a 250 cubic feet per second west-end outlet (the current outlet) combined with a 250 cubic feet per second east-end outlet (W250E250); (2) a 350 cubic feet per second west-end outlet combined with a 250 cubic feet per second east-end outlet (W350E250); and (3) a 250 cubic feet per second west-end outlet combined with a 350 cubic feet per second east-end outlet (W250E350). In addition to satisfying current (2011) flow and water-quality requirements for the upper Sheyenne River, each of the outlet options was simulated with a less restrictive downstream sulfate constraint (750 milligrams per liter) and a more restrictive downstream sulfate constraint (650 milligrams per liter) for the outflows from Baldhill Dam. Thus, there were a total of six outlet scenarios (three outlet alternatives, each with the less restrictive and more restrictive downstream sulfate constraint). In addition, a baseline simulation in which there were no outlet discharges was used for comparison with the outlet simulations.

Simulation results indicate all six outlet scenarios substantially reduce, but do not eliminate, the chance of a spill. For the baseline simulation, the chance of a spill would be 0.6 percent this year (2011), about 14 percent by next year (2012), about 28 percent by 2015, and about 45 percent by 2030. The outlet scenarios reduce the chance of a spill to 0.2 percent this year, about 9 percent next year, 14 to 15 percent by 2015, and 17 to 19 percent by 2030. The chances of a spill are slightly less for the larger outlets (W350E250 and W250E350) compared with the smaller outlet (W250E250) and slightly greater for the more restrictive downstream sulfate constraint (650 milligrams per liter) compared with the less restrictive constraint (750 milligrams per liter). All of the outlet scenarios prevent most spills that would have occurred after 2015, but many of the spills that occur before 2015 are not prevented by any of the outlet scenarios.

All of the outlet scenarios are effective for drawing the lake down in future years, but the more restrictive downstream constraint results in slower drawdown compared with the less restrictive constraint. For the baseline condition, the chance the lake would be above 1,450.0 feet is 99 percent in 2015 and 38 percent in 2030. For the outlet scenarios with the 750 milligrams per liter downstream constraint, the chance is 55 to 63 percent in 2015 and about 5 percent in 2030. For the outlet scenarios with the 650 milligrams per liter downstream constraint, the chance is 75 to 80 percent in 2015 and about 6 percent in 2030.

The 90th percentiles of simulated monthly average sulfate and total dissolved solids concentrations for downstream sites were used as a measure of concentrations that may be expected to occur during relatively dry years when Devils Lake water could provide a substantial part of downstream flows. The percentiles were similar among the three outlet alternatives (W250E250, W350E250, and W250E350). However, the percentiles were sensitive to the downstream sulfate constraint. During periods of declining lake levels and relatively low downstream flows, the 650 milligrams per liter downstream sulfate constraint resulted in reduced outlet discharges and lower downstream concentrations compared with the 750 milligrams per liter constraint. For the 750 milligrams per liter constraint, the 90th percentile concentration for the Red River of the North at Halstad peaked at about 500–550 milligrams per liter of sulfate and 1,200–1,250 milligrams per liter of total dissolved solids during 2013–15 and declined to about 300 milligrams per liter of sulfate and 800 milligrams per liter of total dissolved solids during 2025. The 90th percentile concentration for the Red River of the North at Emerson peaked at about 450–500 milligrams per liter of sulfate and 1,150–1,200 milligrams per liter of total dissolved solids during 2013–15 and declined to about 200–250 milligrams per liter of sulfate and 750 milligrams per liter of total dissolved solids during 2025. For the 650 milligrams per liter constraint, the 90th percentile concentration for the Halstad site peaked at about 400 milligrams per liter of sulfate and 1,000 milligrams per liter of total dissolved solids during 2013–17 and declined to about 300 milligrams per liter of sulfate and 800 milligrams per liter of total dissolved solids during 2025. The 90th percentile concentration for the Emerson site peaked at about 350 milligrams per liter of sulfate and 950 milligrams per liter of total dissolved solids during 2013–17 and declined to about 275 milligrams per liter of sulfate and 750 milligrams per liter of total dissolved solids during 2025.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115050","collaboration":"Prepared in cooperation with the North Dakota Department of Health Division of Water Quality","usgsCitation":"Vecchia, A.V., 2011, Simulation of the effects of Devils Lake outlet alternatives on future lake levels and downstream water quality in the Sheyenne River and Red River of the North: U.S. Geological Survey Scientific Investigations Report 2011-5050, vi, 50 p., https://doi.org/10.3133/sir20115050.","productDescription":"vi, 50 p.","additionalOnlineFiles":"N","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":423595,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95250.htm","linkFileType":{"id":5,"text":"html"}},{"id":21916,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5050/","linkFileType":{"id":5,"text":"html"}},{"id":116217,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5050.jpg"}],"scale":"12000000","country":"United States","state":"North Dakota","otherGeospatial":"Devils Lake,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.49965368785013,\n 48.373879155624735\n ],\n [\n -99.49965368785013,\n 47.70188428426323\n ],\n [\n -98.16471667645847,\n 47.70188428426323\n ],\n [\n -98.16471667645847,\n 48.373879155624735\n ],\n [\n -99.49965368785013,\n 48.373879155624735\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f1e9d","contributors":{"authors":[{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":351156,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70004688,"text":"tm6A34 - 2011 - MODFLOW-LGR-Modifications to the streamflow-routing package (SFR2) to route streamflow through locally refined grids","interactions":[],"lastModifiedDate":"2012-02-02T00:15:54","indexId":"tm6A34","displayToPublicDate":"2011-06-21T10:50:02","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A34","title":"MODFLOW-LGR-Modifications to the streamflow-routing package (SFR2) to route streamflow through locally refined grids","docAbstract":"This report documents modifications to the Streamflow-Routing Package (SFR2) to route streamflow through grids constructed using the multiple-refined-areas capability of shared node Local Grid Refinement (LGR) of MODFLOW-2005. MODFLOW-2005 is the U.S. Geological Survey modular, three-dimensional, finite-difference groundwater-flow model. LGR provides the capability to simulate groundwater flow by using one or more block-shaped, higher resolution local grids (child model) within a coarser grid (parent model). LGR accomplishes this by iteratively coupling separate MODFLOW-2005 models such that heads and fluxes are balanced across the shared interfacing boundaries. Compatibility with SFR2 allows for streamflow routing across grids. LGR can be used in two- and three-dimensional, steady-state and transient simulations and for simulations of confined and unconfined groundwater systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A34","usgsCitation":"Mehl, S.W., and Hill, M.C., 2011, MODFLOW-LGR-Modifications to the streamflow-routing package (SFR2) to route streamflow through locally refined grids: U.S. Geological Survey Techniques and Methods 6-A34, v, 12 p.; Appendix, https://doi.org/10.3133/tm6A34.","productDescription":"v, 12 p.; Appendix","startPage":"i","endPage":"14","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":116216,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_A34.gif"},{"id":21914,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6a34/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648d3b","contributors":{"authors":[{"text":"Mehl, Steffen W. swmehl@usgs.gov","contributorId":975,"corporation":false,"usgs":true,"family":"Mehl","given":"Steffen","email":"swmehl@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":351146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":351145,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208570,"text":"70208570 - 2011 - Monitoring of urban subsidence with SAR interferometric point target analysis: A case study in Suzhou, China","interactions":[],"lastModifiedDate":"2020-02-20T10:00:56","indexId":"70208570","displayToPublicDate":"2011-06-21T10:49:45","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring of urban subsidence with SAR interferometric point target analysis: A case study in Suzhou, China","docAbstract":"

Ground subsidence, mainly caused by over exploitation of groundwater and other underground resources, such as oil, gas and coal, occurs in many cities in China. The annual direct loss associated with subsidence across the country is estimated to exceed 100 million US dollar. Interferometric SAR (InSAR) is a powerful tool to map ground deformation at an unprecedented level of spatial detail. It has been widely used to investigate the deformation resulting from earthquakes, volcanoes and subsidence. Repeat-pass InSAR, however, may fail due to impacts of spatial decorrelation, temporal decorrelation and heterogeneous refractivity of atmosphere. In urban areas, a large amount of natural stable radar reflectors exists, such as buildings and engineering structures, at which radar signals can remain coherent during a long time interval. Interferometric point target analysis (IPTA) technique, also known as persistent scatterers (PS) InSAR is based on these reflectors. It overcomes the shortfalls in conventional InSAR. This paper presents a procedure for urban subsidence monitoring with IPTA. Calculation of linear deformation rate and height residual, and the non-linear deformation estimate, respectively, are discussed in detail. Especially, the former is highlighted by a novel and easily implemented 2-dimensional spatial search algorithm. Practically useful solutions that can significantly improve the robustness of IPTA, are recommended. Finally, the proposed procedure is applied to mapping the ground subsidence in Suzhou city, Jiangsu province, China. Thirty-four ERS-1/2 SAR scenes are analyzed, and the deformation information over 38,881 point targets between 1992 and 2000 are generated. The IPTA-derived deformation estimates correspond well with leveling measurements, demonstrating the potential of the proposed subsidence monitoring procedure based on IPTA technique. Two shortcomings of the IPTA-based procedure, e.g., the requirement of large number of SAR images and assumed linear plus non-linear deformation model, are discussed as the topics of further research.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2011.05.003","usgsCitation":"Zhang, Y., Zhang, J., Wu, H., Lu, Z., and Guangtong, S., 2011, Monitoring of urban subsidence with SAR interferometric point target analysis: A case study in Suzhou, China: International Journal of Applied Earth Observation and Geoinformation, v. 13, no. 5, p. 812-818, https://doi.org/10.1016/j.jag.2011.05.003.","productDescription":"7 p.","startPage":"812","endPage":"818","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Jaingsu Province","city":"Suzhou","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 120.08605957031249,\n 30.855079286968596\n ],\n [\n 121.14898681640626,\n 30.855079286968596\n ],\n [\n 121.14898681640626,\n 31.952162238024975\n ],\n [\n 120.08605957031249,\n 31.952162238024975\n ],\n [\n 120.08605957031249,\n 30.855079286968596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Yonghong","contributorId":82563,"corporation":false,"usgs":true,"family":"Zhang","given":"Yonghong","email":"","affiliations":[],"preferred":false,"id":782556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Jixian","contributorId":169427,"corporation":false,"usgs":false,"family":"Zhang","given":"Jixian","email":"","affiliations":[],"preferred":false,"id":782557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Hongan","contributorId":222562,"corporation":false,"usgs":false,"family":"Wu","given":"Hongan","email":"","affiliations":[],"preferred":false,"id":782558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":782559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guangtong, Sun","contributorId":222563,"corporation":false,"usgs":false,"family":"Guangtong","given":"Sun","email":"","affiliations":[],"preferred":false,"id":782560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004577,"text":"70004577 - 2011 - Chemical ecology of red mangroves, Rhizophora mangle, in the Hawaiian Islands","interactions":[],"lastModifiedDate":"2012-02-02T00:15:56","indexId":"70004577","displayToPublicDate":"2011-06-20T16:50:03","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Chemical ecology of red mangroves, Rhizophora mangle, in the Hawaiian Islands","docAbstract":"The coastal red mangrove, Rhizophora mangle L., was introduced to the Hawaiian Islands from Florida 100 yr ago and has spread to cover many shallow intertidal shorelines that once were unvegetated mudflats. We used a field survey approach to test whether mangroves at the land-ocean interface could indicate watershed inputs, especially whether measurements of leaf chemistry could identify coasts with high nutrient inputs and high mangrove productivities. During 2001-2002, we sampled mangroves on dry leeward coasts of southern Moloka'i and O'ahu for 14 leaf variables including stable carbon and nitrogen isotopes (delta13C, delta15N), macronutrients (C, N, P), trace elements (B, Mn, Fe, Cu, Zn), and cations (Na, Mg, K, Ca). A new modeling approach using leaf Na, N, P, and delta13C indicated two times higher productivity for mangroves in urban versus rural settings, with rural mangroves more limited by low N and P nutrients and high-nutrient urban mangroves more limited by freshwater inputs and salt stress. Leaf chemistry also helped identify other aspects of mangrove dynamics: especially leaf delta15N values helped identify groundwater N inputs, and a combination of strongly correlated variables (C, N, P, B, Cu, Mg, K, Ca) tracked the mangrove growth response to nutrient loading. Overall, the chemical marker approach is an efficient way to survey watershed forcing of mangrove forest dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pacific Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Hawai'i Press","publisherLocation":"Honolulu, HI","doi":"10.2984/65.2.219","usgsCitation":"Fry, B., and Cormier, N., 2011, Chemical ecology of red mangroves, Rhizophora mangle, in the Hawaiian Islands: Pacific Science, v. 65, no. 2, p. 219-234, https://doi.org/10.2984/65.2.219.","productDescription":"16 p.","startPage":"219","endPage":"234","numberOfPages":"15","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":474988,"rank":201,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2984/65.2.219","text":"External Repository"},{"id":203965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21849,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.2984/65.2.219","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","volume":"65","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dfe4b07f02db5e3c02","contributors":{"authors":[{"text":"Fry, Brian","contributorId":60367,"corporation":false,"usgs":true,"family":"Fry","given":"Brian","email":"","affiliations":[],"preferred":false,"id":350797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":350796,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199586,"text":"70199586 - 2011 - Relations of hydrogeologic factors, groundwater reduction-oxidation conditions, and temporal and spatial distributions of nitrate, Central-Eastside San Joaquin Valley, California, USA","interactions":[],"lastModifiedDate":"2021-05-07T15:05:03.70691","indexId":"70199586","displayToPublicDate":"2011-06-17T22:09:06","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Relations of hydrogeologic factors, groundwater reduction-oxidation conditions, and temporal and spatial distributions of nitrate, Central-Eastside San Joaquin Valley, California, USA","docAbstract":"

In a 2,700-km 2 area in the eastern San Joaquin Valley, California (USA), data from multiple sources were used to determine interrelations among hydrogeologic factors, reduction-oxidation (redox) conditions, and temporal and spatial distributions of nitrate (NO 3), a widely detected groundwater contaminant. Groundwater is predominantly modern, or mixtures of modern water, with detectable NO 3 and oxic redox conditions, but some zones have anoxic or mixed redox conditions. Anoxic conditions were associated with long residence times that occurred near the valley trough and in areas of historical groundwater discharge with shallow depth to water. Anoxic conditions also were associated with interactions of shallow, modern groundwater with soils. NO 3 concentrations were significantly lower in anoxic than oxic or mixed redox groundwater, primarily because residence times of anoxic waters exceed the duration of increased pumping and fertilizer use associated with modern agriculture. Effects of redox reactions on NO 3 concentrations were relatively minor. Dissolved N 2 gas data indicated that denitrification has eliminated gt;5 mg/L NO 3-N in about 10% of 39 wells. Increasing NO 3 concentrations over time were slightly less prevalent in anoxic than oxic or mixed redox groundwater. Spatial and temporal trends of NO 3 are primarily controlled by water and NO 3 fluxes of modern land use. 

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We developed a multitemporal land-use/land-cover dataset for the binational Santa Cruz watershed of southern Arizona, United States, and northern Sonora, Mexico by creating a series of land-cover maps at decadal intervals (1979, 1989, 1999, and 2009) using Landsat Multispectral Scanner and Thematic Mapper data and a classification and regression tree classifier. The classification model exploited phenological changes of different land-cover spectral signatures through the use of biseasonal imagery collected during the (dry) early summer and (wet) late summer following rains from the North American monsoon. Landsat images were corrected to remove atmospheric influences, and the data were converted from raw digital numbers to surface reflectance values. The 14-class land-cover classification scheme is based on the 2001 National Land Cover Database with a focus on \"Developed\" land-use classes and riverine \"Forest\" and \"Wetlands\" cover classes required for specific watershed models. The classification procedure included the creation of several image-derived and topographic variables, including digital elevation model derivatives, image variance, and multitemporal Kauth-Thomas transformations. The accuracy of the land-cover maps was assessed using a random-stratified sampling design, reference aerial photography, and digital imagery. 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As part of the RI/FS, a baseline ecological risk assessment (BERA) was conducted to assess the risks to aquatic organisms and aquatic-dependent wildlife exposed to environmental contaminants. The purpose of the BERA was to determine if adverse effects on ecological receptors are occurring in the estuary; to evaluate the nature, severity, and areal extent of any such effects; and to identify the substances that are causing or substantially contributing to effects on ecological receptors. This article describes the environmental setting and site history, identifies the chemicals of potential concern, presents the exposure scenarios and conceptual model for the site, and summarizes the assessment and measurement endpoints that were used in the investigation. 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Recent advances in downscaling climate model precipitation predictions now yield spatially explicit patterns of rainfall that could be used to estimate shallow landslide susceptibility over large areas. In California, the United States Geological Survey is exploring community emergency response to the possible effects of a very large simulated storm event and to do so it has generated downscaled precipitation maps for the storm. To predict the corresponding pattern of shallow landslide susceptibility across the state, we have used the model Shalstab (a coupled steady state runoff and infinite slope stability model) which susceptibility spatially explicit estimates of relative potential instability. Such slope stability models that include the effects of subsurface runoff on potentially destabilizing pore pressure evolution require water routing and hence the definition of upslope drainage area to each potential cell. To calculate drainage area efficiently over a large area we developed a parallel framework to scale-up Shalstab and specifically introduce a new efficient parallel drainage area algorithm which produces seamless results. The single seamless shallow landslide susceptibility map for all of California was accomplished in a short run time, and indicates that much larger areas can be efficiently modelled. As landslide maps generally over predict the extent of instability for any given storm. Local empirical data on the fraction of predicted unstable cells that failed for observed rainfall intensity can be used to specify the likely extent of hazard for a given storm. This suggests that campaigns to collect local precipitation data and detailed shallow landslide location maps after major storms could be used to calibrate models and improve their use in hazard assessment for individual storms.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th International Conference on Debris-Flow Hazards \"Mitigation, Mechanics, Prediction and Assessment\"","conferenceDate":"June 14-17, 2011","conferenceLocation":"Padua, Italy","language":"English","publisher":"Università La Sapienza","usgsCitation":"Bellugi, D., Dietrich, W., Stock, J., McKean, J., Kazian, B., and Hargrove, P., 2011, Spatially explicit shallow landslide susceptibility mapping over large areas, in Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011, Padua, Italy, June 14-17, 2011, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031045","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":308666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.5147705078125,\n 34.420504880133834\n ],\n [\n -119.5147705078125,\n 34.63772760271713\n ],\n [\n -119.10278320312499,\n 34.63772760271713\n ],\n [\n -119.10278320312499,\n 34.420504880133834\n ],\n [\n -119.5147705078125,\n 34.420504880133834\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64ece4b058f706e536f2","contributors":{"authors":[{"text":"Bellugi, Dino","contributorId":148040,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","email":"","affiliations":[],"preferred":false,"id":573658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietrich, William E.","contributorId":115128,"corporation":false,"usgs":true,"family":"Dietrich","given":"William E.","affiliations":[],"preferred":false,"id":573659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Jonathan D.","contributorId":94167,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan D.","affiliations":[],"preferred":false,"id":573660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKean, Jim","contributorId":17941,"corporation":false,"usgs":true,"family":"McKean","given":"Jim","email":"","affiliations":[],"preferred":false,"id":573661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazian, Brian","contributorId":120251,"corporation":false,"usgs":true,"family":"Kazian","given":"Brian","email":"","affiliations":[],"preferred":false,"id":573662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hargrove, Paul","contributorId":148041,"corporation":false,"usgs":false,"family":"Hargrove","given":"Paul","email":"","affiliations":[],"preferred":false,"id":573663,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004652,"text":"sir20115044 - 2011 - Assessment of groundwater/surface-water interaction and simulation of potential streamflow depletion induced by groundwater withdrawal, Uinta River near Roosevelt, Utah","interactions":[],"lastModifiedDate":"2017-09-19T16:25:46","indexId":"sir20115044","displayToPublicDate":"2011-06-16T13:50:02","publicationYear":"2011","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":"2011-5044","title":"Assessment of groundwater/surface-water interaction and simulation of potential streamflow depletion induced by groundwater withdrawal, Uinta River near Roosevelt, Utah","docAbstract":"

Roosevelt City, Utah, asserts a need for an additional supply of water to meet municipal demands and has identified a potential location for additional groundwater development at the Sprouse well field near the West Channel of the Uinta River. Groundwater is commonly hydraulically linked to surface water and, under some conditions, the pumpage of groundwater can deplete water in streams and other water bodies. In 2008, the U.S. Geological Survey, in cooperation with Roosevelt City, the Utah Department of Natural Resources, and the Ute Indian Tribe, began a study to improve understanding of the local interconnection between groundwater and surface water and to assess the potential for streamflow depletion from future groundwater withdrawals at a potential Roosevelt City development location—the Sprouse well field near the West Channel of the Uinta River.

In the study, streamflow gains and losses at the river/aquifer boundary near the well field and changes in those conditions over time were assessed through (1) synoptic measurement of discharge in the stream at multiple sites using tracer-dilution methods, (2) periodic measurement of the vertical hydraulic gradient across the streambed, and (3) continuous measurement of stream and streambed water temperature using heat as a tracer of flow across the streambed. Although some contradictions among the results of the three assessment methods were observed, results of the approaches generally indicated (1) losing streamflow conditions on the West Channel of the Uinta River north of and upstream from the Sprouse well field within the study area, (2) gaining streamflow conditions south of and downstream from the well field, and (3) some seasonal changes in those conditions that correspond with seasonal changes in stream stage and local water-table altitudes.

A numerical groundwater flow model was developed on the basis of previously reported observations and observations made during this study, and was used to estimate potential streamflow depletion that might result from future groundwater withdrawals at the Sprouse well field. The model incorporates concepts of transient groundwater flow conditions including fluctuations in groundwater levels and storage, and the distribution of and temporal variations in gains to and losses from streamflow in the West Channel of the Uinta River near the Sprouse well field. Two predictive model simulations incorporated additional future discharge from the Sprouse well field totaling 325 acre-feet annually and biennially during summer months. Results of the predictive model simulations indicate that the water withdrawn by the additional pumping was derived initially from aquifer storage and then, with time, predominantly from streamflow depletion. By the 10th year of the predictive simulation incorporating annual summer pumping from an additional public-supply well in the Sprouse well field, the simulation results indicate that 89 percent of a future annual 325 acre-feet of discharge is derived from depletion of streamflow in the West Channel of the Uinta River. A similar result was observed in a predictive model simulating the same discharge rate but with the new well being pumped every other year.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115044","collaboration":"Prepared in cooperation with Roosevelt City, the Utah Department of Natural Resources, and the Ute Indian Tribe","usgsCitation":"Lambert, P., Marston, T., Kimball, B.A., and Stolp, B., 2011, Assessment of groundwater/surface-water interaction and simulation of potential streamflow depletion induced by groundwater withdrawal, Uinta River near Roosevelt, Utah: U.S. Geological Survey Scientific Investigations Report 2011-5044, vi, 48 p., https://doi.org/10.3133/sir20115044.","productDescription":"vi, 48 p.","numberOfPages":"58","additionalOnlineFiles":"N","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":116225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5044.jpg"},{"id":21886,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5044/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Uinta River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.643310546875,\n 39.7240885773337\n ],\n [\n -110.643310546875,\n 40.91351257612758\n ],\n [\n -109.193115234375,\n 40.91351257612758\n ],\n [\n -109.193115234375,\n 39.7240885773337\n ],\n [\n -110.643310546875,\n 39.7240885773337\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db671fca","contributors":{"authors":[{"text":"Lambert, P. M.","contributorId":74380,"corporation":false,"usgs":true,"family":"Lambert","given":"P. M.","affiliations":[],"preferred":false,"id":350986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marston, T.","contributorId":98446,"corporation":false,"usgs":true,"family":"Marston","given":"T.","email":"","affiliations":[],"preferred":false,"id":350988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimball, B. A.","contributorId":87583,"corporation":false,"usgs":false,"family":"Kimball","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":350987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stolp, Bernard J. 0000-0003-3803-1497","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":71942,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard J.","affiliations":[],"preferred":false,"id":350985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003976,"text":"70003976 - 2011 - A noninvasive, direct real-time PCR method for sex determination in multiple avian species","interactions":[],"lastModifiedDate":"2020-01-14T08:11:28","indexId":"70003976","displayToPublicDate":"2011-06-15T13:50:03","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"A noninvasive, direct real-time PCR method for sex determination in multiple avian species","docAbstract":"Polymerase chain reaction (PCR)-based methods to determine the sex of birds are well established and have seen few modifications since they were first introduced in the 1990s. Although these methods allowed for sex determination in species that were previously difficult to analyse, they were not conducive to high-throughput analysis because of the laboriousness of DNA extraction and gel electrophoresis. We developed a high-throughput real-time PCR-based method for analysis of sex in birds, which uses noninvasive sample collection and avoids DNA extraction and gel electrophoresis.","language":"English","publisher":"Wiley","doi":"10.1111/j.1755-0998.2010.02951.x","usgsCitation":"Brubaker, J.L., Karouna-Renier, N., Chen, Y., Jenko, K., Sprague, D.T., and Henry, P.F., 2011, A noninvasive, direct real-time PCR method for sex determination in multiple avian species: Molecular Ecology Resources, v. 11, no. 2, p. 415-417, https://doi.org/10.1111/j.1755-0998.2010.02951.x.","productDescription":"3 p.","startPage":"415","endPage":"417","numberOfPages":"3","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":203826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-12","publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6ab99f","contributors":{"authors":[{"text":"Brubaker, Jessica L.","contributorId":49241,"corporation":false,"usgs":true,"family":"Brubaker","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karouna-Renier, Natalie K. 0000-0001-7127-033X","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":17357,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":350002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Yu","contributorId":77785,"corporation":false,"usgs":true,"family":"Chen","given":"Yu","email":"","affiliations":[],"preferred":false,"id":350005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenko, Kathryn","contributorId":6720,"corporation":false,"usgs":true,"family":"Jenko","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":350000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sprague, Daniel T.","contributorId":43219,"corporation":false,"usgs":true,"family":"Sprague","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":350003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henry, Paula F.P.","contributorId":12311,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"","middleInitial":"F.P.","affiliations":[],"preferred":false,"id":350001,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004636,"text":"ds598 - 2011 - Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2010","interactions":[],"lastModifiedDate":"2016-08-11T15:30:40","indexId":"ds598","displayToPublicDate":"2011-06-15T13:50:03","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"598","title":"Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2010","docAbstract":"

During March–December 2010, the U.S. Geological Survey, in cooperation with the city of Houston, collected source-water samples from 60 municipal supply wells in the Houston area. These data were collected as part of an ongoing study to determine concentrations, spatial extent, and associated geochemical conditions that might be conducive for mobility and transport of selected naturally occurring contaminants (selected trace elements and radionuclides) in the Gulf Coast aquifer system in the Houston area. In the summers of 2007 and 2008, a reconnaissance-level survey of these constituents in untreated water from 28 municipal supply wells was completed in the Houston area. Included in this report are the complete analytical results for 47 of the 60 samples collected in 2010—those results which were received from the laboratories and reviewed by the authors as of December 31, 2010. All of the wells sampled were screened in the Gulf Coast aquifer system; 22 were screened entirely in the Evangeline aquifer, and the remaining 25 wells contained screened intervals that intersected both Evangeline and Chicot aquifers. The data documented in this report were collected as part of an ongoing study to characterize source-water-quality conditions in untreated groundwater prior to drinking-water treatment. An evaluation of contaminant occurrence in source water provides background information regarding the presence of a contaminant in the environment. Because source-water samples were collected prior to any treatment or blending that potentially could alter contaminant concentrations, the water-quality results documented by this report represent the quality of the source water, not the quality of finished drinking water provided to the public.

\n

Samples were analyzed for major ions (calcium, magnesium, potassium, sodium, bromide, chloride, fluoride, silica, and sulfate), residue on evaporation (dissolved solids), trace elements (arsenic, barium, boron, chromium, iron, lithium, manganese, molybdenum, selenium, strontium, and vanadium), and selected radionuclides (gross alpha- and beta-particle activity [at 72 hours and 30 days], carbon-14, radium-226, radon-222, and uranium). Field measurements were made of selected physicochemical (relating to both physical and chemical) properties (oxidation-reduction potential, turbidity, dissolved-oxygen concentration, pH, specific conductance, water temperature, and alkalinity) and unfiltered sulfides.

\n

Similar to the results from the reconnaissance survey, physicochemical properties, major ions, and trace elements varied considerably. The ranges of selected physicochemical properties were as follows: oxidation-reduction potential ranged from -173 to 466 millivolts, dissolved oxygen ranged from less than 0.1 to 4.4 milligrams per liter, pH ranged from 7.2 to 7.8, specific conductance ranged from 439 to 724 microsiemens per centimeter at 25 degrees Celsius, and alkalinity ranged from 159 to 276 milligrams per liter as calcium carbonate. The largest ranges in concentration for filtered major ion constituents were obtained for cations sodium and calcium and for anions chloride and sulfate. Arsenic concentrations measured in samples from the 47 wells ranged from 1.6 to 23.5 micrograms per liter. The maximum concentration of arsenic (23.5 micrograms per liter) was measured in the source-water sample from well LJ-65-12-328.

\n

Quantifiable concentrations of barium, boron, lithium, molybdenum, and strontium were measured in all 47 filtered, source-water samples. Quantifiable concentrations of manganese were measured in 46 source-water samples, and an estimated concentration of manganese was measured in 1 sample. Chromium, iron, selenium, and vanadium were detected in 24 or more of the 47 source-water samples.

\n

Gross alpha-particle activities and beta-particle activities for all 47 samples were analyzed at 72 hours after sample collection and again at 30 days after sample collection, allowing for the measurement of the activity of short-lived isotopes. Gross alpha-particle activities reported in this report were not adjusted for activity contributions by radon or uranium and, therefore, are conservatively high estimates if compared to the U.S. Environmental Protection Agency National Primary Drinking Water Regulation for adjusted gross alpha-particle activity. The gross alpha-particle activities at 30 days in the samples ranged from R0.60 to 25.5 picocuries per liter and at 72 hours ranged from 2.58 to 39.7 picocuries per liter, and the \"R\" preceding the value of 0.60 picocuries per liter refers to a nondetected result less than the sample-specific critical level. Gross beta-particle activities measured at 30 days ranged from 1.17 to 14.4 picocuries per liter and at 72 hours ranged from 1.97 to 4.4 picocuries per liter. Filtered uranium was detected in quantifiable amounts in all of the 47 wells sampled. The uranium concentrations ranged from 0.03 to 42.7 micrograms per liter. One sample was analyzed for carbon-14, and the amount of modern atmospheric carbon was reported as 0.2 percent. Six source-water samples collected from municipal supply wells were analyzed for radium-226, and all of the concentrations were considered detectable concentrations (greater than their associated sample-specific critical level). Three source-water samples collected were analyzed for radon-222, and all of the concentrations were substantially greater than the associated sample-specific critical level.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds598","usgsCitation":"Oden, J.H., Brown, D.W., and Oden, T., 2011, Groundwater quality of the Gulf Coast aquifer system, Houston, Texas, 2010: U.S. Geological Survey Data Series 598, iv, 18 p.; Tables, https://doi.org/10.3133/ds598.","productDescription":"iv, 18 p.; Tables","startPage":"i","endPage":"64","numberOfPages":"68","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116134,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_598.gif"},{"id":21880,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/598/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","city":"Houston","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.66666666666667,29.583333333333332 ], [ -95.66666666666667,30.133333333333333 ], [ -95.16666666666667,30.133333333333333 ], [ -95.16666666666667,29.583333333333332 ], [ -95.66666666666667,29.583333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db658f88","contributors":{"authors":[{"text":"Oden, Jeannette H. 0000-0002-6473-1553 jhoden@usgs.gov","orcid":"https://orcid.org/0000-0002-6473-1553","contributorId":1152,"corporation":false,"usgs":true,"family":"Oden","given":"Jeannette","email":"jhoden@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Dexter W. dwbrown@usgs.gov","contributorId":3062,"corporation":false,"usgs":true,"family":"Brown","given":"Dexter","email":"dwbrown@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":350912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":350911,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189064,"text":"70189064 - 2011 - Mine wastes and human health","interactions":[],"lastModifiedDate":"2017-06-30T09:16:14","indexId":"70189064","displayToPublicDate":"2011-06-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1490,"text":"Elements","active":true,"publicationSubtype":{"id":10}},"title":"Mine wastes and human health","docAbstract":"

Historical mining and mineral processing have been linked definitively to health problems resulting from occupational and environmental exposures to mine wastes. Modern mining and processing methods, when properly designed and implemented, prevent or greatly reduce potential environmental health impacts. However, particularly in developing countries, there are examples of health problems linked to recent mining. In other cases, recent mining has been blamed for health problems but no clear links have been found. The types and abundances of potential toxicants in mine wastes are predictably influenced by the geologic characteristics of the deposit being mined. Hence, Earth scientists can help understand, anticipate, and mitigate potential health issues associated with mining and mineral processing.

","language":"English","publisher":"Mineralogical Society of America","doi":"10.2113/gselements.7.6.399","usgsCitation":"Plumlee, G.S., and Morman, S.A., 2011, Mine wastes and human health: Elements, v. 7, no. 6, p. 399-404, https://doi.org/10.2113/gselements.7.6.399.","productDescription":"6 p.","startPage":"399","endPage":"404","ipdsId":"IP-030587","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-12-12","publicationStatus":"PW","scienceBaseUri":"5957633ae4b0d1f9f051b560","contributors":{"authors":[{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702711,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156398,"text":"70156398 - 2011 - A two-phase debris-flow model that includes coupled evolution of volume fractions, granular dilatancy, and pore-fluid pressure","interactions":[],"lastModifiedDate":"2015-08-20T15:16:59","indexId":"70156398","displayToPublicDate":"2011-06-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A two-phase debris-flow model that includes coupled evolution of volume fractions, granular dilatancy, and pore-fluid pressure","docAbstract":"

Pore-fluid pressure plays a crucial role in debris flows because it counteracts normal stresses at grain contacts and thereby reduces intergranular friction. Pore-pressure feedback accompanying debris deformation is particularly important during the onset of debrisflow motion, when it can dramatically influence the balance of forces governing downslope acceleration. We consider further effects of this feedback by formulating a new, depth-averaged mathematical model that simulates coupled evolution of granular dilatancy, solid and fluid volume fractions, pore-fluid pressure, and flow depth and velocity during all stages of debris-flow motion. To illustrate implications of the model, we use a finite-volume method to compute one-dimensional motion of a debris flow descending a rigid, uniformly inclined slope, and we compare model predictions with data obtained in large-scale experiments at the USGS debris-flow flume. Predictions for the first 1 s of motion show that increasing pore pressures (due to debris contraction) cause liquefaction that enhances flow acceleration. As acceleration continues, however, debris dilation causes dissipation of pore pressures, and this dissipation helps stabilize debris-flow motion. Our numerical predictions of this process match experimental data reasonably well, but predictions might be improved by accounting for the effects of grain-size segregation.

","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011","conferenceTitle":"Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011","conferenceDate":"June 14-17, 2011","conferenceLocation":"Padua, Italy","language":"English","publisher":"Università La Sapienza","publisherLocation":"Padua, Italy","usgsCitation":"George, D., and Iverson, R.M., 2011, A two-phase debris-flow model that includes coupled evolution of volume fractions, granular dilatancy, and pore-fluid pressure, in Debris-flow hazards : mitigation, mechanics, prediction, and assessment : proceedings of 5th international conference : Padua, Italy, 14-17 June 2011, Padua, Italy, June 14-17, 2011, 10 p.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":307060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307059,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ijege.uniroma1.it/rivista/5th-international-conference-on-debris-flow-hazards-mitigation-mechanics-prediction-and-assessment"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d6fa2ee4b0518e3546bc0e","contributors":{"authors":[{"text":"George, David L. dlgeorge@usgs.gov","contributorId":3416,"corporation":false,"usgs":true,"family":"George","given":"David L.","email":"dlgeorge@usgs.gov","affiliations":[],"preferred":true,"id":569026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":569027,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155228,"text":"70155228 - 2011 - Observations of mass fractionation of noble gases in synthetic methane hydrate","interactions":[],"lastModifiedDate":"2017-05-30T11:17:56","indexId":"70155228","displayToPublicDate":"2011-06-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Observations of mass fractionation of noble gases in synthetic methane hydrate","docAbstract":"

As a consequence of contemporary or longer term (since 15 ka) climate warming, gas hydrates in some settings are presently dissociating and releasing methane and other gases to the oceanatmosphere system. A key challenge in assessing the susceptibility of gas hydrates to warming climate is the lack of a technique able to distinguish between methane recently released from gas hydrates and methane emitted from leaky thermogenic reservoirs, shallow sublake and subseafloor sediments, coalbeds, and other sources. Carbon and deuterium stable isotopic data provide only a first-order characterization of methane sources, while gas hydrate can sequester any type of methane. Here, we investigate the possibility of exploiting the pattern of noble gas fractionation within the gas hydrate lattice to fingerprint methane released from gas hydrates. Starting with synthetic gas hydrate formed under careful laboratory conditions, we document complex noble gas fractionation patterns in the gases liberated during dissociation and explore the effects of aging and storage (e.g., in liquid nitrogen), as well as sampling and preservation procedures. The laboratory results confirm a unique noble gas fractionation pattern for gas hydrates, one that shows promise in evaluating modern natural gas seeps for a signature associated with gas hydrate dissociation.

","conferenceTitle":"International Conference on Gas Hydrates","conferenceDate":"July 17-21, 2011","conferenceLocation":"Edinburgh, Scotland","language":"English","usgsCitation":"Hunt, A.G., Pohlman, J.W., Stern, L.A., Ruppel, C., Moscati, R.J., Landis, G.P., and Pinkston, J., 2011, Observations of mass fractionation of noble gases in synthetic methane hydrate, International Conference on Gas Hydrates, Edinburgh, Scotland, July 17-21, 2011, 6 p.","productDescription":"6 p.","ipdsId":"IP-029211","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":341831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84cae4b092b266f10dd9","contributors":{"authors":[{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":565203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John W. 0000-0002-3563-4586 jpohlman@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":145771,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","email":"jpohlman@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":565207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stern, Laura A. 0000-0003-3440-5674 lstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3440-5674","contributorId":1197,"corporation":false,"usgs":true,"family":"Stern","given":"Laura","email":"lstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":565208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":565204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":565209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landis, Gary P.","contributorId":72405,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":696247,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pinkston, John C.","contributorId":81381,"corporation":false,"usgs":true,"family":"Pinkston","given":"John C.","affiliations":[],"preferred":false,"id":696248,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70004615,"text":"ofr20111128 - 2011 - Simulation of groundwater flow in a volatile organic compound-contaminated area near Bethpage, Nassau County, New York: A discussion of modeling considerations","interactions":[],"lastModifiedDate":"2022-12-05T22:43:28.232201","indexId":"ofr20111128","displayToPublicDate":"2011-06-13T10:50:04","publicationYear":"2011","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":"2011-1128","title":"Simulation of groundwater flow in a volatile organic compound-contaminated area near Bethpage, Nassau County, New York: A discussion of modeling considerations","docAbstract":"The 2010 Bethpage groundwater-flow model (ARCADIS, 2010) was based on a steady state assumption. Although it is widely acknowledged that significant water-level changes have occurred in the past, the reviewed model does not represent changing water levels. The steady state approach limits the effectiveness of the following:\n\n1. identification of sources of contamination,\n\n2. analysis of model accuracy,\n\n3. model calibration, and\n\n4. simulations of future scenarios.\n\nFuture plume movement was simulated in an incomplete manner through an unchanging groundwater-flow field. Available time-series information on temporal variation of factors affecting groundwater-flow dynamics includes:\n\n1. public-supply pumping,\n\n2. groundwater discharges from systems remediating volatile organic compound (VOC) plumes,\n\n3. recharge and precipitation rates, and\n\n4. water levels and streamflows.\n\nTransient phenomena that might be useful in future hypothetical simulations include pumping variations, redirection of containment-system waters for industrial use, and climate-change scenarios. Public-domain computer programs, U.S. Geological Survey guidance reports on transient-state calibration and uncertainty methods (Doherty and Hunt, 2010), and additional local and regional datasets are available to provide additional confidence in model evaluations and allow better evaluation of their limitations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111128","usgsCitation":"Misut, P.E., 2011, Simulation of groundwater flow in a volatile organic compound-contaminated area near Bethpage, Nassau County, New York: A discussion of modeling considerations: U.S. Geological Survey Open-File Report 2011-1128, vi, 19 p., https://doi.org/10.3133/ofr20111128.","productDescription":"vi, 19 p.","numberOfPages":"23","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":410083,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95236.htm","linkFileType":{"id":5,"text":"html"}},{"id":21868,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1128/","linkFileType":{"id":5,"text":"html"}},{"id":116203,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1128.gif"}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"United States","state":"New York","county":"Nassau County","city":"Bethpage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.5308,\n 40.6769\n ],\n [\n -73.5308,\n 40.7728\n ],\n [\n -73.42,\n 40.7728\n ],\n [\n -73.42,\n 40.6769\n ],\n [\n -73.5308,\n 40.6769\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db67380d","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350864,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227302,"text":"70227302 - 2011 - Toward the next generation of research on earthquake-induced landslides: Current issues and future challenges","interactions":[],"lastModifiedDate":"2022-01-07T17:49:11.179692","indexId":"70227302","displayToPublicDate":"2011-06-11T11:45:31","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Toward the next generation of research on earthquake-induced landslides: Current issues and future challenges","docAbstract":"

Although, thanks to the new developments in investigation techniques, modeling, and data analyses, much progress has been made in our understanding of collateral seismic hazards, important new lessons are still being learned from historic and recent earthquakes. By referring to the accompanying papers included in this Special Issue and other recent literature, we present an overview of current issues and future challenges of research on earthquake, triggered landsliding. We also offer some recommendations for future research priorities, as a proposed starting point for the next generation of research on earthquake-induced slope failures. These include i) the compilation of many more complete seismic landslide inventories with adequate contextual information, as well as of retrospective inventories; ii) the improvement of regional-scale assessments of seismic landslide susceptibility and hazard; iii) the development of new methods for regional scale analysis of hazards from large catastrophic landslides; and iv) the long-term monitoring of representative test slopes instrumented with an array of accelerometer stations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2011.06.001","usgsCitation":"Wasowski, J., Keefer, D.K., and Lee, C., 2011, Toward the next generation of research on earthquake-induced landslides: Current issues and future challenges: Engineering Geology, v. 122, no. 1-2, p. 1-8, https://doi.org/10.1016/j.enggeo.2011.06.001.","productDescription":"8 p.","startPage":"1","endPage":"8","costCenters":[],"links":[{"id":394032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wasowski, J.","contributorId":18974,"corporation":false,"usgs":true,"family":"Wasowski","given":"J.","email":"","affiliations":[],"preferred":false,"id":830370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keefer, David K.","contributorId":77930,"corporation":false,"usgs":true,"family":"Keefer","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":830371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Chyi-Tyi","contributorId":271006,"corporation":false,"usgs":false,"family":"Lee","given":"Chyi-Tyi","email":"","affiliations":[],"preferred":false,"id":830372,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004595,"text":"sir20115065 - 2011 - Hydrogeology and water quality of the Floridan aquifer system and effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Fort Stewart, Georgia","interactions":[],"lastModifiedDate":"2017-01-17T11:00:28","indexId":"sir20115065","displayToPublicDate":"2011-06-09T16:50:08","publicationYear":"2011","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":"2011-5065","title":"Hydrogeology and water quality of the Floridan aquifer system and effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Fort Stewart, Georgia","docAbstract":"Test drilling, field investigations, and digital modeling were completed at Fort Stewart, GA, during 2009?2010, to assess the geologic, hydraulic, and water-quality characteristics of the Floridan aquifer system and evaluate the effect of Lower Floridan aquifer (LFA) pumping on the Upper Floridan aquifer (UFA). This work was performed pursuant to the Georgia Environmental Protection Division interim permitting strategy for new wells completed in the LFA that requires simulation to (1) quantify pumping-induced aquifer leakage from the UFA to LFA, and (2) identify the equivalent rate of UFA pumping that would produce the same maximum drawdown in the UFA that anticipated pumping from LFA well would induce. Field investigation activities included (1) constructing a 1,300-foot (ft) test boring and well completed in the LFA (well 33P028), (2) constructing an observation well in the UFA (well 33P029), (3) collecting drill cuttings and borehole geophysical logs, (4) collecting core samples for analysis of vertical hydraulic conductivity and porosity, (5) conducting flowmeter and packer tests in the open borehole within the UFA and LFA, (6) collecting depth-integrated water samples to assess basic ionic chemistry of various water-bearing zones, and (7) conducting aquifer tests in new LFA and UFA wells to determine hydraulic properties and assess interaquifer leakage. Using data collected at the site and in nearby areas, model simulation was used to assess the effects of LFA pumping on the UFA. Borehole-geophysical and flowmeter data indicate the LFA at Fort Stewart consists of limestone and dolomitic limestone between depths of 912 and 1,250 ft. Flowmeter data indicate the presence of three permeable zones at depth intervals of 912-947, 1,090-1,139, and 1,211?1,250 ft. LFA well 33P028 received 50 percent of the pumped volume from the uppermost permeable zone, and about 18 and 32 percent of the pumped volume from the middle and lowest permeable zones, respectively. Chemical constituent concentrations increased with depth, and water from all permeable zones contained sulfate at concentrations that exceeded the U.S. Environmental Protection Agency secondary maximum contaminant level of 250 milligrams per liter. A 72-hour aquifer test pumped LFA well 33P028 at 740 gallons per minute (gal/min), producing about 39 ft of drawdown in the pumped well and about 0.4 foot in nearby UFA well 33P029. Simulation using the U.S. Geological Survey finite-difference code MODFLOW was used to determine long-term, steady-state flow in the Floridan aquifer system, assuming the LFA well was pumped continuously at a rate of 740 gal/min. Simulated steady-state drawdown in the LFA was identical to that observed in pumped LFA well 33P028 at the end of the 72-hour test, with values larger than 1 ft extending 4.4 square miles symmetrically around the pumped well. Simulated steady-state drawdown in the UFA resulting from pumping in LFA well 33P028 exceeded 1 ft within a 1.4-square-mile circular area, and maximum drawdown in the UFA was 1.1 ft. Leakage from the UFA through the Lower Floridan confining unit contributed about 98 percent of the water to the well; lateral flow from specified-head model boundaries contributed about 2 percent. About 80 percent of the water supplied to LFA well 33P028 originated from within 1 mile of the well, and 49 percent was derived from within 0.5 mile of the well. Vertical hydraulic gradients and vertical leakage are progressively higher near the LFA pumped well which results in a correspondingly higher contribution of water from the UFA to the pumped well at distances closer to the pumped well. Simulated pumping-induced interaquifer leakage from the UFA to the LFA totaled 725 gal/min (1.04 million gallons per day), whereas simulated pumping at 205 gal/min (0.3 million gallons per day) from UFA well 33P029 produced the equivalent maximum drawdown as pumping LFA well 33P028 at 740 gal/min during the aquifer test. This equivalent pumpin","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115065","collaboration":"Prepared in cooperation with the U.S. Department of the Army","usgsCitation":"Clarke, J.S., Cherry, G.C., and Gonthier, G., 2011, Hydrogeology and water quality of the Floridan aquifer system and effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Fort Stewart, Georgia: U.S. Geological Survey Scientific Investigations Report 2011-5065, viii, 60 p., https://doi.org/10.3133/sir20115065.","productDescription":"viii, 60 p.","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5065.jpg"},{"id":21861,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5065/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","country":"United States","state":"Georgia","city":"Fort Stewart","otherGeospatial":"Upper Floridan aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.91666666666667,31.5 ], [ -81.91666666666667,32.25 ], [ -80.75,32.25 ], [ -80.75,31.5 ], [ -81.91666666666667,31.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad9e4b07f02db6852c5","contributors":{"authors":[{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherry, Gregory C.","contributorId":35038,"corporation":false,"usgs":true,"family":"Cherry","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":350816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonthier, Gerard 0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":350815,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004586,"text":"ds583 - 2011 - Digitized generalized areas where surface-water resources likely or potentially are susceptible to groundwater withdrawals in adjacent valleys, Great Basin National Park area, Nevada","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ds583","displayToPublicDate":"2011-06-08T13:50:08","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"583","title":"Digitized generalized areas where surface-water resources likely or potentially are susceptible to groundwater withdrawals in adjacent valleys, Great Basin National Park area, Nevada","docAbstract":"Abstract\nPolygons delineate generalized areas in and around Great Basin National Park where surface-water resources likely or potentially are susceptible to groundwater withdrawals in adjacent valleys.\nPurpose\nThis data set was created as part of a U.S. Geological Survey study, done in cooperation with the National Park Service, to characterize surface-water resources in and around Great Basin National Park. The intended uses of this data set include, but are not limited to, natural resource modeling, mapping, and visualization applications.\nSource Information\nSIR 2006-5099, Plate 1: Generalized areas where surface-water resources likely or potentially are susceptible to ground-water withdrawals in adjacent valleys, Great Basin National Park area, Nevada.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds583","usgsCitation":"Elliott, P.E., Beck, D.A., and Prudic, D.E., 2011, Digitized generalized areas where surface-water resources likely or potentially are susceptible to groundwater withdrawals in adjacent valleys, Great Basin National Park area, Nevada: U.S. Geological Survey Data Series 583, HTML Document; Downloads of Geospatial Data and Metadata, https://doi.org/10.3133/ds583.","productDescription":"HTML Document; Downloads of Geospatial Data and Metadata","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":116289,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_583.bmp"},{"id":21859,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/583/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983, Zone 11","country":"United States","state":"Nevada","otherGeospatial":"Great Basin National Park Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.4675,38.666666666666664 ], [ -114.4675,39.1175 ], [ -114,39.1175 ], [ -114,38.666666666666664 ], [ -114.4675,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ade3","contributors":{"authors":[{"text":"Elliott, Peggy E. 0000-0002-7264-664X pelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-7264-664X","contributorId":3805,"corporation":false,"usgs":true,"family":"Elliott","given":"Peggy","email":"pelliott@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":350805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, David A.","contributorId":102874,"corporation":false,"usgs":true,"family":"Beck","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":350806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350804,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158615,"text":"70158615 - 2011 - Effect of the difference between water-table elevation and hydraulic head on simulation of unconfined aquifers using MODFLOW","interactions":[],"lastModifiedDate":"2015-10-01T16:41:15","indexId":"70158615","displayToPublicDate":"2011-06-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effect of the difference between water-table elevation and hydraulic head on simulation of unconfined aquifers using MODFLOW","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"MODFLOW and More 2011: Integrated Hydrologic Modeling","conferenceTitle":"MODFLOW and More 2011: Integrated Hydrologic Modeling","conferenceDate":"June 5-8 2011","conferenceLocation":"Golden, Colorado","language":"English","publisher":"International Groundwater Modeling Center","usgsCitation":"Provost, A.M., and Langevin, C.D., 2011, Effect of the difference between water-table elevation and hydraulic head on simulation of unconfined aquifers using MODFLOW, in MODFLOW and More 2011: Integrated Hydrologic Modeling, Golden, Colorado, June 5-8 2011.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":309465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56349529e4b048076347fcb5","contributors":{"authors":[{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":576312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":576313,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70158990,"text":"70158990 - 2011 - Decoupled application of the integrated hydrologic model, GSFLOW, to estimate agricultural irrigation in the Santa Rosa Plain, California","interactions":[],"lastModifiedDate":"2021-11-10T16:07:20.894389","indexId":"70158990","displayToPublicDate":"2011-06-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Decoupled application of the integrated hydrologic model, GSFLOW, to estimate agricultural irrigation in the Santa Rosa Plain, California","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the conference MODFLOW and more 2011: Integrated hydrologic modeling","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"MODFLOW and More 2011: Integrated Hydrologic Modeling","conferenceDate":"June 5-8, 2011","conferenceLocation":"Golden, Colorado","language":"English","publisher":"Integrated GroundWater Modeling Center","usgsCitation":"Hevesi, J.A., Woolfenden, L.R., Niswonger, R., Regan, R.S., and Nishikawa, T., 2011, Decoupled application of the integrated hydrologic model, GSFLOW, to estimate agricultural irrigation in the Santa Rosa Plain, California, in Proceedings of the conference MODFLOW and more 2011: Integrated hydrologic modeling, Golden, Colorado, June 5-8, 2011, 5 p.","productDescription":"5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029555","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":309814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Rosa plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.86422729492189,\n 38.566421609878674\n ],\n [\n -122.73925781250001,\n 38.25004423627535\n ],\n [\n -122.60467529296875,\n 38.301792263441016\n ],\n [\n -122.56622314453124,\n 38.3287297527893\n ],\n [\n -122.72003173828124,\n 38.424545962509164\n ],\n [\n -122.64724731445312,\n 38.424545962509164\n ],\n [\n -122.64175415039061,\n 38.45896571300021\n ],\n [\n -122.71041870117188,\n 38.51378825951165\n ],\n [\n -122.76535034179686,\n 38.55031345037904\n ],\n [\n -122.81478881835936,\n 38.57071650940461\n ],\n [\n -122.86285400390624,\n 38.57286386289748\n ],\n [\n -122.86422729492189,\n 38.566421609878674\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5618e52ae4b0cdb063e3fed0","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolfenden, Linda R. 0000-0003-3500-4709 lrwoolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-4709","contributorId":1476,"corporation":false,"usgs":true,"family":"Woolfenden","given":"Linda","email":"lrwoolfe@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":2833,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","email":"rniswon@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regan, R. Steven 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":87237,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":577167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577168,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004584,"text":"ofr20111112 - 2011 - Groundwater quality in the Chemung River Basin, New York, 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111112","displayToPublicDate":"2011-06-07T16:50:09","publicationYear":"2011","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":"2011-1112","title":"Groundwater quality in the Chemung River Basin, New York, 2008","docAbstract":"The second groundwater quality study of the Chemung River Basin in south-central New York was conducted as part of the U.S. Geological Survey 305(b) water-quality-monitoring program. Water samples were collected from five production wells and five private residential wells from October through December 2008. The samples were analyzed to characterize the chemical quality of the groundwater. Five of the wells are screened in sand and gravel aquifers, and five are finished in bedrock aquifers. Two of these wells were also sampled for the first Chemung River Basin study of 2003. Samples were analyzed for 6 physical properties and 217 constituents, including nutrients, major inorganic ions, trace elements, radionuclides, pesticides, volatile organic compounds, phenolic compounds, organic carbon, and four types of bacterial analyses. Results of the water-quality analyses for individual wells are presented in tables, and summary statistics for specific constituents are presented by aquifer type. The results are compared with Federal and New York State drinking-water standards, which typically are identical.\n\nWater quality in the study area is generally good, but concentrations of some constituents equaled or exceeded current or proposed Federal or New York State drinking-water standards; these were: sodium (one sample), total dissolved solids (one sample), aluminum (one sample), iron (one sample), manganese (four samples), radon-222 (eight samples), trichloroethene (one sample), and bacteria (four samples). The pH of all samples was typically neutral or slightly basic (median 7.5); the median water temperature was 11.0 degrees Celsius (?C). The ions with the highest median concentrations were bicarbonate (median 202 milligrams per liter [mg/L]) and calcium (median 59.0 mg/L). Groundwater in the study area is moderately hard to very hard, but more samples were hard or very hard (121 mg/L as calcium carbonate (CaCO3) or greater) than were moderately hard (61-120 mg/L as CaCO3); the median hardness was 205 mg/L as CaCO3. The maximum concentration of nitrate plus nitrite was 3.67 mg/L as nitrogen, which did not exceed established drinking-water standards for nitrate plus nitrite (10 mg/L as nitrogen). The trace elements with the highest median concentrations were strontium (median 196.5 micrograms per liter [(u or mu)g/L]), barium (median 186 (u or mu)g/L), and iron (median 72.5 (u or mu)g/L in unfiltered water). Five pesticides and pesticide degradates were detected among four samples at concentrations of 0.11 (u or mu)g/L or less; they included herbicides and herbicide degradates. Six volatile organic compounds (VOCs) were detected among four samples; these included four solvents, methyl tert-butyl ether, and one trihalomethane. Trichloroethene, a solvent, was detected in one production well at 5.5 (u or mu)g/L; the Federal and New York State Maximum Contaminant Level (MCL) (5 (u or mu)g/L) was exceeded. The highest radon-222 activities were in samples from bedrock wells [maximum 1,740 picocuries per liter (pCi/L)]; eight of the wells sampled exceeded a proposed U.S. Environmental Protection Agency (USEPA) drinking-water standard of 300 pCi/L. Any detection of coliform bacteria indicates a potential violation of New York State health regulations; total coliform bacteria were detected in four samples, and fecal coliform bacteria were detected in one sample.μμμ","doi":"10.3133/ofr20111112","usgsCitation":"Risen, A.J., and Reddy, J.E., 2011, Groundwater quality in the Chemung River Basin, New York, 2008: U.S. Geological Survey Open-File Report 2011-1112, iv, 10 p.; Appendix, https://doi.org/10.3133/ofr20111112.","productDescription":"iv, 10 p.; Appendix","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116201,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1112.gif"},{"id":21856,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1112/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator projection","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,42 ], [ -78,42.75 ], [ -76.5,42.75 ], [ -76.5,42 ], [ -78,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a95e4b07f02db65976a","contributors":{"authors":[{"text":"Risen, Amy J.","contributorId":88070,"corporation":false,"usgs":true,"family":"Risen","given":"Amy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":350802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210108,"text":"70210108 - 2011 - Three‐dimensional model for the crust and upper mantle in the Barents Sea region","interactions":[],"lastModifiedDate":"2020-05-14T15:41:33.344531","indexId":"70210108","displayToPublicDate":"2011-06-03T10:29:32","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Three‐dimensional model for the crust and upper mantle in the Barents Sea region","docAbstract":"

The Barents Sea and its surroundings is an epicontinental region which previously has been difficult to access, partly because of its remote Arctic location (Figure 1) and partly because the region has been politically sensitive. Now, however, this region, and in particular its western parts, has been very well surveyed with a variety of geophysical studies, motivated in part by exploration for hydrocarbon resources. Since this region is interesting geophysically as well as for seismic verification, a major study [Bungum et al., 2004] was initiated in 2003 to develop a three‐dimensional (3‐D) seismic velocity model for the crust and upper mantle, using a grid density of 50 km.

This study, in cooperation between NORSAR, the University of Oslo (UiO),and the U.S.Geological Survey (USGS), has led to the construction of a higher‐resolution, regional lithospheric model based on a comprehensive compilation of available seismological and geophysical data. Following the methodology employed in making the global crustal model CRUST5.1 [Mooney et al., 1998], the new model consists of five crustal layers: soft and hard sediments, and crystalline upper, middle, and lower crust. Both P‐ and S‐wave velocities and densities are specified in each layer. In addition, the density and seismic velocity structure of the uppermost mantle, essential for Pn and Sn travel time modeling, are included.

","language":"English","publisher":"Wiley","doi":"10.1029/2005EO160003","usgsCitation":"Bangum, H., Ritzmann, O., Maercklin, N., Faleide, J., Mooney, W.D., and Detweiler, S.T., 2011, Three‐dimensional model for the crust and upper mantle in the Barents Sea region: Eos, Earth and Space Science News, v. 86, no. 16, p. 160-161, https://doi.org/10.1029/2005EO160003.","productDescription":"2 p.","startPage":"160","endPage":"161","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474991,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005eo160003","text":"Publisher Index Page"},{"id":374825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"16","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bangum, H.","contributorId":224699,"corporation":false,"usgs":false,"family":"Bangum","given":"H.","email":"","affiliations":[],"preferred":false,"id":789145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritzmann, O.","contributorId":48386,"corporation":false,"usgs":true,"family":"Ritzmann","given":"O.","email":"","affiliations":[],"preferred":false,"id":789146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maercklin, N.","contributorId":81302,"corporation":false,"usgs":true,"family":"Maercklin","given":"N.","email":"","affiliations":[],"preferred":false,"id":789147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faleide, J.I.","contributorId":224700,"corporation":false,"usgs":false,"family":"Faleide","given":"J.I.","email":"","affiliations":[],"preferred":false,"id":789148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":789149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":789150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70004557,"text":"ofr20111058 - 2011 - Ni-Co laterite deposits of the world — Database and grade and tonnage models","interactions":[],"lastModifiedDate":"2022-01-13T20:40:07.941858","indexId":"ofr20111058","displayToPublicDate":"2011-06-03T03:01:04","publicationYear":"2011","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":"2011-1058","title":"Ni-Co laterite deposits of the world — Database and grade and tonnage models","docAbstract":"

No abstract available.

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Local spatial variations in the Earth\\'s gravity field, after accounting for variations caused by elevation, terrain, and deep crustal structure reflect the distribution of densities in the mid- to upper crust. Densities often can be related to rock type, and abrupt spatial changes in density commonly mark lithological or structural boundaries. High-density rocks exposed within the central Coast Ranges include Mesozoic granitic rocks (exposed northwest of Paso Robles), Jurassic to Cretaceous marine strata of the Great Valley Sequence (exposed primarily northeast of the San Andreas fault), and Mesozoic sedimentary and volcanic rocks of the Franciscan Complex [exposed in the Santa Lucia Range and northeast of the San Andreas fault (SAF) near Parkfield, California]. Alluvial sediments and Tertiary sedimentary rocks are characterized by low densities; however, with increasing depth of burial and age, the densities of these rocks may become indistinguishable from those of older basement rocks.","doi":"10.3133/ofr20111104","usgsCitation":"McPhee, D., Langenheim, V., and Watt, J., 2011, Preliminary isostatic residual gravity anomaly map of Paso Robles 30 x 60 minute quadrangle, California: U.S. Geological Survey Open-File Report 2011-1104, 1 Map Sheet: 55 inches x 30 inches; Appendix A folder, https://doi.org/10.3133/ofr20111104.","productDescription":"1 Map Sheet: 55 inches x 30 inches; Appendix A folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":203819,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":21843,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1104/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,35.5 ], [ -121,36 ], [ -12,36 ], [ -12,35.5 ], [ -121,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d7b4","contributors":{"authors":[{"text":"McPhee, D.K.","contributorId":96775,"corporation":false,"usgs":true,"family":"McPhee","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":350716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":350714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, J. 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