{"pageNumber":"599","pageRowStart":"14950","pageSize":"25","recordCount":68919,"records":[{"id":70048296,"text":"sir20135136 - 2013 - The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","interactions":[],"lastModifiedDate":"2013-09-27T08:55:23","indexId":"sir20135136","displayToPublicDate":"2013-09-19T14:52:00","publicationYear":"2013","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":"2013-5136","title":"The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","docAbstract":"Residents of Carson Valley in Douglas County, Nevada, rely on groundwater from an alluvial aquifer for domestic use and agricultural irrigation. Since the 1970s, there has been a rapid increase in population in several parts of the valley that rely on domestic wells for drinking water and septic systems for treatment of household waste. As a result, the density of septic systems in the developed areas is greater than one septic system per 3 acres, and the majority of the domestic wells are shallow (screened within 250 feet of the land surface).<p>\nThe distribution of nitrate as nitrogen (referred to herein as nitrate-N) concentrations in groundwater was determined by collecting more than 200 samples from 8 land-use categories: single family residential, multifamily residential, rural (including land use for agriculture), vacant land, commercial, industrial, utilities, and unclassified. Nitrate-N concentrations ranged from below detection (less than 0.05 milligrams per liter) to 18 milligrams per liter. The results of nitrate-N concentrations that were sampled from three wells equalled or exceeded the maximum contaminant level of 10 milligrams per liter set by the U.S. Environmental Protection Agency. Nitrate-N concentrations in sampled wells showed a positive correlation between elevated nitrate-N concentrations and the percentage of single-family land use and septic-system density. Wells sampled in other land-use categories did not have any correlation to nitrate-N concentrations. In areas with greater than 50-percent single-family land use, nitrate-N concentrations were two times greater than in areas with less than 50 percent single-family land use. Nitrate-N concentrations in groundwater near septic systems that had been used more than 20 years were more than two times greater than in areas where septic systems had been used less than 20 years. Lower nitrate-N concentrations in the areas where septic systems were less than 20 years old probably result from temporary storage of nitrogen leaching from septic systems into the unsaturated zone.<p/> In areas where septic systems are abundant, nitrate-N concentrations were predicted to 2059 by using numerical models within the Ruhenstroth and Johnson Lane subdivisions in the Carson Valley. Model results indicated that nitrate-N concentrations will continue to increase and could exceed the maximum contaminant level over extended areas inside and outside the subdivisions. Two modeling scenarios were used to simulate future transport as a result of removal of septic systems (source of nitrate-N contamination) and the termination of domestic pumping of groundwater. The models showed the largest decrease in nitrate-N concentrations when septic systems were removed and wells continued to pump. Nitrate-N concentrations probably will continue to increase in areas that are dependent on septic systems for waste disposal either under current land-use conditions in the valley or with continued growth and change in land use in the valley.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135136","collaboration":"Prepared in cooperation with Douglas County and the Carson Water Subconservancy District","usgsCitation":"Naranjo, R.C., Welborn, T.L., and Rosen, M.R., 2013, The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5136, vii, 51 p., https://doi.org/10.3133/sir20135136.","productDescription":"vii, 51 p.","numberOfPages":"58","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":277941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135136.jpg"},{"id":277939,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5136/pdf/sir2013-5136.pdf"},{"id":277940,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5136/"}],"country":"United States","state":"Nevada","county":"Douglas County","otherGeospatial":"Carson Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.6783,38.4682 ], [ -119.6783,39.1034 ], [ -119.1676,39.1034 ], [ -119.1676,38.4682 ], [ -119.6783,38.4682 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726e","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welborn, Toby L. 0000-0003-4839-2405 tlwelbor@usgs.gov","orcid":"https://orcid.org/0000-0003-4839-2405","contributorId":2295,"corporation":false,"usgs":true,"family":"Welborn","given":"Toby","email":"tlwelbor@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484260,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048292,"text":"sir20135153 - 2013 - Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:35:14","indexId":"sir20135153","displayToPublicDate":"2013-09-19T14:11:00","publicationYear":"2013","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":"2013-5153","title":"Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","docAbstract":"Continuous streamflow and turbidity data collected from October 1, 2010, to September 30, 2012, at a site upstream and downstream from Clinton Lake, Kansas, were used to compute the total suspended-sediment load delivered to and released from the reservoir as well as the sediment trap efficiency for the reservoir. Ongoing sedimentation is inhibiting the ability of Clinton Lake to serve several purposes including flood control, water supply, and recreation. The inflow suspended-sediment load was substantially larger than the outflow load and most of the suspended-sediment load was delivered during short-term, high-discharge periods. Respectively, the total 2-year inflow and outflow suspended-sediment loads were computed to be 44.4 and 1.49 million pounds. Sediment trap efficiency for the reservoir was estimated to be 97 percent. The mean annual suspended-sediment yield from the upstream basin was estimated to be 60,500 pounds per square mile. Because this study was completed during a drought, the estimated inflow suspended-sediment load and suspended-sediment yield likely are substantially less than what would occur during a period of average or above average precipitation and runoff.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135153","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Juracek, K.E., 2013, Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5153, v, 10 p., https://doi.org/10.3133/sir20135153.","productDescription":"v, 10 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-044091","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":277933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135153.gif"},{"id":277932,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5153/pdf/sir13-5153.pdf"},{"id":277931,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5153/"}],"country":"United States","state":"Kansas","otherGeospatial":"Clinton Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.63,38.86 ], [ -95.63,39.04 ], [ -95.26,39.04 ], [ -95.26,38.86 ], [ -95.63,38.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726a","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048290,"text":"tm6A44 - 2013 - MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","interactions":[],"lastModifiedDate":"2013-09-19T14:06:20","indexId":"tm6A44","displayToPublicDate":"2013-09-19T13:48:15","publicationYear":"2013","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-A44","title":"MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","docAbstract":"This report documents the addition of ghost node Local Grid Refinement (LGR2) to MODFLOW-2005, the U.S. Geological Survey modular, transient, three-dimensional, finite-difference groundwater flow model. LGR2 provides the capability to simulate groundwater flow using multiple block-shaped higher-resolution local grids (a child model) within a coarser-grid parent model. LGR2 accomplishes this by iteratively coupling separate MODFLOW-2005 models such that heads and fluxes are balanced across the grid-refinement interface boundary. LGR2 can be used in two-and three-dimensional, steady-state and transient simulations and for simulations of confined and unconfined groundwater systems. Traditional one-way coupled telescopic mesh refinement methods can have large, often undetected, inconsistencies in heads and fluxes across the interface between two model grids. The iteratively coupled ghost-node method of LGR2 provides a more rigorous coupling in which the solution accuracy is controlled by convergence criteria defined by the user. In realistic problems, this can result in substantially more accurate solutions and require an increase in computer processing time. The rigorous coupling enables sensitivity analysis, parameter estimation, and uncertainty analysis that reflects conditions in both model grids. This report describes the method used by LGR2, evaluates accuracy and performance for two-and three-dimensional test cases, provides input instructions, and lists selected input and output files for an example problem. It also presents the Boundary Flow and Head (BFH2) Package, which allows the child and parent models to be simulated independently using the boundary conditions obtained through the iterative process of LGR2.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground water in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A44","collaboration":"Prepared in cooperation with the U.S. Department of Energy, A Product of the Groundwater Resources Program; This report is Chapter 44 of Section A: Ground water in Book 6 <i>Modeling Techniques</i>","usgsCitation":"Mehl, S.W., and Hill, M.C., 2013, MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package: U.S. Geological Survey Techniques and Methods 6-A44, viii, 43 p., https://doi.org/10.3133/tm6A44.","productDescription":"viii, 43 p.","numberOfPages":"54","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":277921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a44.gif"},{"id":277919,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6a44/pdf/T&M6A-44.pdf"},{"id":277918,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6a44/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efce4b024b60d40725e","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":484252,"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":484251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048250,"text":"70048250 - 2013 - Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","interactions":[],"lastModifiedDate":"2013-11-18T10:01:44","indexId":"70048250","displayToPublicDate":"2013-09-18T15:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","docAbstract":"Depositional models of ancient lakes in thin-skinned retroarc foreland basins rarely benefit from appropriate Quaternary analogues. To address this, we present new stratigraphic, sedimentological and geochemical analyses of four radiocarbon-dated sediment cores from the Pozuelos Basin (PB; northwest Argentina) that capture the evolution of this low-accommodation Puna basin over the past ca. 43 cal kyr. Strata from the PB are interpreted as accumulations of a highly variable, underfilled lake system represented by lake-plain/littoral, profundal, palustrine, saline lake and playa facies associations. The vertical stacking of facies is asymmetric, with transgressive and thin organic-rich highstand deposits underlying thicker, organic-poor regressive deposits. The major controls on depositional architecture and basin palaeogeography are tectonics and climate. Accommodation space was derived from piggyback basin-forming flexural subsidence and Miocene-Quaternary normal faulting associated with incorporation of the basin into the Andean hinterland. Sediment and water supply was modulated by variability in the South American summer monsoon, and perennial lake deposits correlate in time with several well-known late Pleistocene wet periods on the Altiplano/Puna plateau. Our results shed new light on lake expansion–contraction dynamics in the PB in particular and provide a deeper understanding of Puna basin lakes in general.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Basin Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/bre.12025","usgsCitation":"McGlue, M.M., Cohen, A.S., Ellis, G.S., and Kowler, A.L., 2013, Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina): Basin Research, v. 25, no. 6, p. 638-658, https://doi.org/10.1111/bre.12025.","productDescription":"21 p.","startPage":"638","endPage":"658","numberOfPages":"21","ipdsId":"IP-039035","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277829,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/bre.12025"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.8408,-23.926 ], [ -66.8408,-21.064 ], [ -62.9956,-21.064 ], [ -62.9956,-23.926 ], [ -66.8408,-23.926 ] ] ] } } ] }","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"523abd76e4b08cabd166cb00","contributors":{"authors":[{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":484153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowler, Andrew L.","contributorId":36043,"corporation":false,"usgs":true,"family":"Kowler","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048247,"text":"fs20133051 - 2013 - The 3D Elevation Program: summary for Minnesota","interactions":[],"lastModifiedDate":"2016-08-17T16:04:57","indexId":"fs20133051","displayToPublicDate":"2013-09-18T14:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3051","title":"The 3D Elevation Program: summary for Minnesota","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Minnesota, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, coastal zone management, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133051","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Minnesota: U.S. Geological Survey Fact Sheet 2013-3051, 2 p., https://doi.org/10.3133/fs20133051.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133051.gif"},{"id":277823,"type":{"id":15,"text":"Index 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":484143,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048245,"text":"ofr20131160 - 2013 - Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","interactions":[],"lastModifiedDate":"2016-01-07T17:05:29","indexId":"ofr20131160","displayToPublicDate":"2013-09-18T13:55:00","publicationYear":"2013","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":"2013-1160","subseriesTitle":"National Water-Quality Assessment Program","title":"Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","docAbstract":"This report presents a science strategy for the third decade of the National Water-Quality Assessment (NAWQA) Program, which since 1991, has been responsible for providing nationally consistent information on the quality of the Nation's streams and groundwater; how water quality is changing over time; and the major natural and human factors that affect current water quality conditions and trends. The strategy is based on an extensive evaluation of the accomplishments of NAWQA over its first two decades, the current status of water-quality monitoring activities by USGS and its partners, and an updated analysis of stakeholder priorities. The plan is designed to address priority issues and national needs identified by NAWQA stakeholders and the National Research Council (2012) irrespective of budget constraints. This plan describes four major goals for the third decade (Cycle 3), the approaches for monitoring, modeling, and scientific studies, key partnerships required to achieve these goals, and products and outcomes that will result from planned assessment activities. The science plan for 2013–2023 is a comprehensive approach to meet stakeholder priorities for: (1) rebuilding NAWQA monitoring networks for streams, rivers, and groundwater, and (2) upgrading models used to extrapolate and forecast changes in water-quality and stream ecosystem condition in response to changing climate and land use. The Cycle 3 plan continues approaches that have been central to the Program’s long-term success, but adjusts monitoring intensities and study designs to address critical information needs and identified data gaps. Restoration of diminished monitoring networks and new directions in modeling and interpretative studies address growing and evolving public and stakeholder needs for water-quality information and improved management, particularly in the face of increasing challenges related to population growth, increasing demands for water, and changing land use and climate. However, a combination of funding growth and extensive collaboration with other USGS programs and other Federal, State, and local agencies, public interest groups, professional and trade associations, academia, and private industry will be needed to fully realize the monitoring and modeling goals laid out in this plan (USGS Fact Sheet 2013-3008).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131160","usgsCitation":"Rowe, G.L., Belitz, K., Demas, C.R., Essaid, H.I., Gilliom, R.J., Hamilton, P.A., Hoos, A.B., Lee, C., Munn, M.D., and Wolock, D.W., 2013, Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management: U.S. Geological Survey Open-File Report 2013-1160, xiv, 110 p., https://doi.org/10.3133/ofr20131160.","productDescription":"xiv, 110 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131160.gif"},{"id":277820,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1160/"},{"id":277821,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1160/pdf/OF13-1160.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd72e4b08cabd166cae8","contributors":{"authors":[{"text":"Rowe, Gary L. glrowe@usgs.gov","contributorId":1779,"corporation":false,"usgs":true,"family":"Rowe","given":"Gary","email":"glrowe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":484131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":484136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demas, Charlie R.","contributorId":11929,"corporation":false,"usgs":true,"family":"Demas","given":"Charlie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":484133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":484128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton, Pixie A. pahamilt@usgs.gov","contributorId":1068,"corporation":false,"usgs":true,"family":"Hamilton","given":"Pixie","email":"pahamilt@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoos, Anne B. abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":484132,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":484135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484129,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolock, David W.","contributorId":64357,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484137,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048234,"text":"70048234 - 2013 - Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations","interactions":[],"lastModifiedDate":"2021-05-28T14:02:36.307763","indexId":"70048234","displayToPublicDate":"2013-09-18T08:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations","docAbstract":"Animal manures, used as a nitrogen source for crop production, are often associated with negative impacts on nutrient levels in surface water. The concentrations of estrogens in streams from these manures also are of concern due to potential endocrine disruption in aquatic species. Streams associated with livestock operations were sampled by discrete samples (n <i>=</i> 38) or by time-integrated polar organic chemical integrative samplers (POCIS,n <i>=</i> 19). Samples were analyzed for estrogens by gas chromatography-tandem mass spectrometry (GC-MSM<sup>2</sup>) and estrogenic activity was assessed by three bioassays: Yeast Estrogen Screen (YES), T47D-KBluc Assay, MCF-7 Estrogenicity Screen (E-Screen). Samples were collected from 19 streams within small (∼1-30 km<sup>2</sup>) watersheds in 12 U.S. states representing a range of hydrogeologic conditions, dominated by: dairy (3), grazing beef (3), feedlot cattle (1); swine (5); poultry (3); and 4 areas where no livestock were raised or manure was applied. Water samples were consistently below the United Kingdom proposed Lowest Observable Effect Concentration for 17b-estradiol in fish (10 ng/L) in all watersheds, regardless of land use. Estrogenic activity was often higher in samples during runoff conditions following a period of manure application. Estrone was the most commonly detected estrogen (13 of 38 water samples, mean 1.9, maximum 8.3 ng/L). Because of the T47D-KBluc assay’s sensitivity towards estrone (1.4 times 17β-estradiol) it was the most sensitive method for detecting estrogens, followed by the E-Screen, GC-MS<sup>2</sup>, and YES. POCIS resulted in more frequent detections of estrogens than discrete water samples across all sites, even when applying the less-sensitive YES bioassay to the POCIS extracts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2013.03.028","usgsCitation":"Alvarez, D.A., Shappell, N.W., Billey, L., Bermudez, D.S., Wilson, V., Kolpin, D.W., Perkins, S.D., Evans, N., Foreman, W., Gray, J.L., Shipitalo, J., and Meyer, M.T., 2013, Bioassay of estrogenicity and chemical analyses of estrogens in streams across the United States associated with livestock operations: Water Research, v. 47, no. 10, p. 3347-3363, https://doi.org/10.1016/j.watres.2013.03.028.","productDescription":"17 p.","startPage":"3347","endPage":"3363","numberOfPages":"17","ipdsId":"IP-041200","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":277787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277786,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2013.03.028"}],"volume":"47","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd52e4b08cabd166cae0","chorus":{"doi":"10.1016/j.watres.2013.03.028","url":"http://dx.doi.org/10.1016/j.watres.2013.03.028","publisher":"Elsevier BV","authors":"Alvarez D.A., Shappell N.W., Billey L.O., Bermudez D.S., Wilson V.S., Kolpin D.W., Perkins S.D., Evans N., Foreman W.T., Gray J.L., Shipitalo M.J., Meyer M.T.","journalName":"Water Research","publicationDate":"6/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":484081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shappell, Nancy W.","contributorId":103559,"corporation":false,"usgs":true,"family":"Shappell","given":"Nancy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Billey, L.O.","contributorId":94961,"corporation":false,"usgs":true,"family":"Billey","given":"L.O.","email":"","affiliations":[],"preferred":false,"id":484087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bermudez, Dietrich S.","contributorId":8755,"corporation":false,"usgs":true,"family":"Bermudez","given":"Dietrich","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Vickie S.","contributorId":101551,"corporation":false,"usgs":true,"family":"Wilson","given":"Vickie S.","affiliations":[],"preferred":false,"id":484088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perkins, Stephanie D. sperkins@usgs.gov","contributorId":2745,"corporation":false,"usgs":true,"family":"Perkins","given":"Stephanie","email":"sperkins@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":484083,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Nicola","contributorId":61735,"corporation":false,"usgs":true,"family":"Evans","given":"Nicola","affiliations":[],"preferred":false,"id":484086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":484082,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":436,"text":"National Research Program - 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,{"id":70048153,"text":"ofr20131226 - 2013 - Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010","interactions":[],"lastModifiedDate":"2016-08-19T17:44:44","indexId":"ofr20131226","displayToPublicDate":"2013-09-18T08:00:00","publicationYear":"2013","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":"2013-1226","title":"Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Beaver County and Butler County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131226","usgsCitation":"Roig-Silva, C., Slonecker, E.T., Milheim, L., and Malizia, A.R., 2013, Landscape consequences of natural gas extraction in Beaver and Butler Counties, Pennsylvania, 2004-2010: U.S. Geological Survey Open-File Report 2013-1226, v, 34 p., https://doi.org/10.3133/ofr20131226.","productDescription":"v, 34 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131226.gif"},{"id":277528,"type":{"id":15,"text":"Index 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,{"id":70048154,"text":"ofr20131227 - 2013 - Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010","interactions":[],"lastModifiedDate":"2016-08-19T17:42:19","indexId":"ofr20131227","displayToPublicDate":"2013-09-18T08:00:00","publicationYear":"2013","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":"2013-1227","title":"Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Lackawanna County and Wayne County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131227","usgsCitation":"Milheim, L., Slonecker, E., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Lackawanna and Wayne Counties, Pennsylvania, 2004-2010: U.S. Geological Survey Open-File Report 2013-1227, v, 32 p., https://doi.org/10.3133/ofr20131227.","productDescription":"v, 32 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131227.PNG"},{"id":277686,"type":{"id":15,"text":"Index 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A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":483886,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048227,"text":"70048227 - 2013 - Estimating the extent of impervious surfaces and turf grass across large regions","interactions":[],"lastModifiedDate":"2018-03-13T15:41:00","indexId":"70048227","displayToPublicDate":"2013-09-17T14:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the extent of impervious surfaces and turf grass across large regions","docAbstract":"The ability of researchers to accurately assess the extent of impervious and pervious developed surfaces, e.g., turf grass, using land-cover data derived from Landsat satellite imagery in the Chesapeake Bay watershed is limited due to the resolution of the data and systematic discrepancies between developed land-cover classes, surface mines, forests, and farmlands. Estimates of impervious surface and turf grass area in the Mid-Atlantic, United States that were based on 2006 Landsat-derived land-cover data were substantially lower than estimates based on more authoritative and independent sources. New estimates of impervious surfaces and turf grass area derived using land-cover data combined with ancillary information on roads, housing units, surface mines, and sampled estimates of road width and residential impervious area were up to 57 and 45% higher than estimates based strictly on land-cover data. These new estimates closely approximate estimates derived from authoritative and independent sources in developed counties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12110","usgsCitation":"Claggett, P.R., Irani, F., and Thompson, R., 2013, Estimating the extent of impervious surfaces and turf grass across large regions: Journal of the American Water Resources Association, v. 49, no. 5, p. 1057-1077, https://doi.org/10.1111/jawr.12110.","productDescription":"21 p.","startPage":"1057","endPage":"1077","numberOfPages":"21","ipdsId":"IP-036883","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":277697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277633,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12110"},{"id":277634,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/jawr.12110/full"}],"country":"United States","state":"Delaware;Maryl;New York;Pennsylvania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.7717,37.3178 ], [ -79.7717,42.6582 ], [ -75.1904,42.6582 ], [ -75.1904,37.3178 ], [ -79.7717,37.3178 ] ] ] } } ] }","volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-04","publicationStatus":"PW","scienceBaseUri":"52396bd2e4b04b9308ae4e1c","contributors":{"authors":[{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":484053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irani, Frederick M. firani@usgs.gov","contributorId":2932,"corporation":false,"usgs":true,"family":"Irani","given":"Frederick M.","email":"firani@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":484054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Renee L. rthompson1@usgs.gov","contributorId":2933,"corporation":false,"usgs":true,"family":"Thompson","given":"Renee L.","email":"rthompson1@usgs.gov","affiliations":[],"preferred":true,"id":484055,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048230,"text":"sir20135122 - 2013 - Preliminary groundwater flow model of the basin-fill aquifers in Detrital, Hualapai, and Sacramento Valleys, Mohave County, northwestern Arizona","interactions":[],"lastModifiedDate":"2013-09-17T14:43:50","indexId":"sir20135122","displayToPublicDate":"2013-09-17T14:33:00","publicationYear":"2013","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":"2013-5122","title":"Preliminary groundwater flow model of the basin-fill aquifers in Detrital, Hualapai, and Sacramento Valleys, Mohave County, northwestern Arizona","docAbstract":"Preliminary numerical models were developed to simulate groundwater flow in the basin-fill alluvium in Detrital, Hualapai, and Sacramento Valleys in northwestern Arizona. The purpose of this exercise was to gather and evaluate available information and data, to test natural‑recharge concepts, and to indicate directions for improving future regional groundwater models of the study area. Both steady-state and transient models were developed with a single layer incorporating vertically averaged hydraulic properties over the model layer. Boundary conditions for the models were constant-head cells along the northern and western edges of the study area, corresponding to the location of the Colorado River, and no-flow boundaries along the bedrock ridges that bound the rest of the study area, except for specified flow where Truxton Wash enters the southern end of Hualapai Valley. Steady-state conditions were simulated for the pre-1935 period, before the construction of Hoover Dam in the northwestern part of the model area. Two recharge scenarios were investigated using the steady-state model—one in which natural aquifer recharge occurs directly in places where water is available from precipitation, and another in which natural aquifer recharge from precipitation occurs in the basin-fill alluvium that drains areas of available water. A transient model with 31 stress periods was constructed to simulate groundwater flow for the period 1935–2010. The transient model incorporates changing Colorado River, Lake Mead, and Lake Mohave water levels and includes time-varying groundwater withdrawals and aquifer recharge. Both the steady-state and transient models were calibrated to available water-level observations in basin-f﻿ill alluvium, and simulations approximate observed water-level trends throughout most of the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135122","collaboration":"Prepared in cooperation with the Arizona Department of Water Resources and Mohave County, Arizona","usgsCitation":"Tillman, F., Garner, B.D., and Truini, M., 2013, Preliminary groundwater flow model of the basin-fill aquifers in Detrital, Hualapai, and Sacramento Valleys, Mohave County, northwestern Arizona: U.S. Geological Survey Scientific Investigations Report 2013-5122, vii, 52 p., https://doi.org/10.3133/sir20135122.","productDescription":"vii, 52 p.","numberOfPages":"64","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":277661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135122.PNG"},{"id":277659,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5122/"},{"id":277660,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5122/pdf/sir2013-5122.pdf"}],"country":"United States","state":"Arizona","county":"Mohave County","otherGeospatial":"Detrital Valley;Hualapai Valley;Sacramento Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.7556,34.3097 ], [ -114.7556,36.2247 ], [ -112.7119,36.2247 ], [ -112.7119,34.3097 ], [ -114.7556,34.3097 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52396bf9e4b04b9308ae4e34","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garner, Bradley D. 0000-0002-6912-5093 bdgarner@usgs.gov","orcid":"https://orcid.org/0000-0002-6912-5093","contributorId":2133,"corporation":false,"usgs":true,"family":"Garner","given":"Bradley","email":"bdgarner@usgs.gov","middleInitial":"D.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":484059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Truini, Margot mtruini@usgs.gov","contributorId":599,"corporation":false,"usgs":true,"family":"Truini","given":"Margot","email":"mtruini@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484057,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048226,"text":"sir20135149 - 2013 - Geologic framework, structure, and hydrogeologic characteristics of the Knippa Gap area in eastern Uvalde and western Medina Counties, Texas","interactions":[],"lastModifiedDate":"2016-08-05T13:41:00","indexId":"sir20135149","displayToPublicDate":"2013-09-17T13:55:00","publicationYear":"2013","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":"2013-5149","title":"Geologic framework, structure, and hydrogeologic characteristics of the Knippa Gap area in eastern Uvalde and western Medina Counties, Texas","docAbstract":"<p>The Edwards aquifer is the primary source of potable water for the San Antonio area in south-central Texas. The Knippa Gap was postulated to channel or restrict flow in the Edwards aquifer in eastern Uvalde County, and its existence was based on a series of numerical simulations of groundwater flow in the aquifer. To better understand the function of the area known as the Knippa Gap as it pertains to its geology and structure, the geologic framework, structure, and hydrogeologic characteristics of the area were evaluated by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers-Fort Worth District.</p>\n<p>The principal structural feature in the San Antonio area is the Balcones Fault Zone, which is the result of Miocene age faulting. In Medina County, the faulting of the Balcones Fault Zone has produced a relay-ramp structure that dips to the southwest from the Edwards aquifer recharge zone and extends westward and below land surface from Seco Creek.</p>\n<p>Groundwater flow paths in the Edwards aquifer are influenced by faulting and geologic structure. Some faults act as barriers to groundwater flow paths where the aquifer is offset by 50 percent or more and result in flow moving parallel to the fault. The effectiveness of a fault as a barrier to flow changes as the amount of fault displacement changes. The structurally complex area of the Balcones Fault Zone contains relay ramps, which form in extensional fault systems to allow for deformation changes along the fault block. In Medina County, the faulting of the Balcones Fault Zone has produced a relay-ramp structure that dips to the southwest from the Edwards aquifer recharge zone. Groundwater moving down the relay ramp in northern Medina County flows downgradient (downdip) to the structural low (trough) from the northeast to the southwest. In Uvalde County, the beds dip from a structural high known as the Uvalde Salient. This results in groundwater moving from the structural high and downgradient (dip) towards a structural low (trough) to the northeast. These two opposing structural dips result in a subsurface structural low (trough) locally referred to as the Knippa Gap. This trough is located in eastern Uvalde County beneath the towns of Knippa and Sabinal.</p>\n<p>By using data that were compiled and collected for this study and previous studies, a revised map was constructed depicting the geologic framework, structure, and hydrogeologic characteristics of the Knippa Gap area in eastern Uvalde and western Medina Counties, Tex. The map also shows the interpreted structural dip directions and interpreted location of a structural low (trough) in the area known as the Knippa Gap.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135149","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Clark, A.K., Pedraza, D.E., and Morris, R., 2013, Geologic framework, structure, and hydrogeologic characteristics of the Knippa Gap area in eastern Uvalde and western Medina Counties, Texas: U.S. Geological Survey Scientific Investigations Report 2013-5149, Report: viii, 36 p.; Plate: 23.00 inches x 36.00 inches, https://doi.org/10.3133/sir20135149.","productDescription":"Report: viii, 36 p.; Plate: 23.00 inches x 36.00 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":277658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135149.gif"},{"id":277657,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5149/pdf/sir2013-5149_pl1.pdf","text":"Plate 1"},{"id":277655,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5149/pdf/sir2013-5149.pdf"},{"id":277656,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5149/"}],"country":"United States","state":"Texas","county":"Medina County, Uvalde County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.47,28.4977 ], [ -100.47,30.2733 ], [ -97.3718,30.2733 ], [ -97.3718,28.4977 ], [ -100.47,28.4977 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52396bf7e4b04b9308ae4e24","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":106213,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484052,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125480,"text":"70125480 - 2013 - High prevalence of cestodes in <i>Artemia</i> spp. throughout the annual cycle: relationship with abundance of avian final hosts","interactions":[],"lastModifiedDate":"2014-09-17T10:36:07","indexId":"70125480","displayToPublicDate":"2013-09-17T10:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3012,"text":"Parasitology Research","active":true,"publicationSubtype":{"id":10}},"title":"High prevalence of cestodes in <i>Artemia</i> spp. throughout the annual cycle: relationship with abundance of avian final hosts","docAbstract":"Brine shrimp, <i>Artemia spp.</i>, act as intermediate hosts for a range of cestode species that use waterbirds as their final hosts. These parasites can have marked influences on shrimp behavior and fecundity, generating the potential for cascading effects in hypersaline food webs. We present the first comprehensive study of the temporal dynamics of cestode parasites in natural populations of brine shrimp throughout the annual cycle. Over a 12-month period, clonal <i>Artemia parthenogenetica</i> were sampled in the Odiel marshes in Huelva, and the sexual <i>Artemia salina</i> was sampled in the Salinas de Cerrillos in Almería. Throughout the year, 4–45 % of <i>A. parthenogenetica</i> were infected with cestodes (mean species richness = 0.26), compared to 27–72 % of <i>A. salina</i> (mean species richness = 0.64). Ten cestode species were recorded. Male and female <i>A. salina</i> showed similar levels of parasitism. The most prevalent and abundant cestodes were those infecting the most abundant final hosts, especially the Greater Flamingo <i>Phoenicopterus ruber</i>. In particular, the flamingo parasite <i>Flamingolepis liguloides</i> had a prevalence of up to 43 % in <i>A. parthenogenetica</i> and 63.5 % in <i>A. salina</i> in a given month. Although there was strong seasonal variation in prevalence, abundance, and intensity of cestode infections, seasonal changes in bird counts were weak predictors of the dynamics of cestode infections. However, infection levels of <i>Confluaria podicipina</i> in <i>A. parthenogenetica</i> were positively correlated with the number of their black-necked grebe <i>Podiceps nigricollis</i> hosts. Similarly, infection levels of <i>Anomotaenia tringae</i> and <i>Anomotaenia microphallos</i> in <i>A. salina</i> were correlated with the number of shorebird hosts present the month before. Correlated seasonal transmission structured the cestode community, leading to more multiple infections than expected by chance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Parasitology Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00436-013-3347-x","usgsCitation":"Sanchez, M.I., Nikolov, P.N., GEorgieva, D.D., Georgiev, B.B., Vasileva, G.P., Pankov, P., Paracuellos, M., Lafferty, K.D., and Green, A.J., 2013, High prevalence of cestodes in <i>Artemia</i> spp. throughout the annual cycle: relationship with abundance of avian final hosts: Parasitology Research, v. 112, no. 5, p. 1913-1923, https://doi.org/10.1007/s00436-013-3347-x.","productDescription":"11 p.","startPage":"1913","endPage":"1923","ipdsId":"IP-043802","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473541,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/75096","text":"External Repository"},{"id":294027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00436-013-3347-x"}],"country":"Spain","city":"Almeria;Huelva","otherGeospatial":"Odiel Marshes;Salinas De Cerrillos","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -6.9626,36.82 ], [ -6.9626,37.2913 ], [ -2.43,37.2913 ], [ -2.43,36.82 ], [ -6.9626,36.82 ] ] ] } } ] }","volume":"112","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-03-06","publicationStatus":"PW","scienceBaseUri":"541aa29ce4b01571b3d51cae","contributors":{"authors":[{"text":"Sanchez, Marta I.","contributorId":54136,"corporation":false,"usgs":true,"family":"Sanchez","given":"Marta","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":501498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nikolov, Pavel N.","contributorId":9983,"corporation":false,"usgs":true,"family":"Nikolov","given":"Pavel","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":501493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"GEorgieva, Darina D.","contributorId":94614,"corporation":false,"usgs":true,"family":"GEorgieva","given":"Darina","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":501500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Georgiev, Boyko B.","contributorId":40916,"corporation":false,"usgs":true,"family":"Georgiev","given":"Boyko","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":501497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vasileva, Gergana P.","contributorId":71494,"corporation":false,"usgs":true,"family":"Vasileva","given":"Gergana","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":501499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pankov, Plamen","contributorId":38488,"corporation":false,"usgs":true,"family":"Pankov","given":"Plamen","email":"","affiliations":[],"preferred":false,"id":501496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paracuellos, Mariano","contributorId":21478,"corporation":false,"usgs":true,"family":"Paracuellos","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":501494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501492,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, Andy J.","contributorId":30531,"corporation":false,"usgs":true,"family":"Green","given":"Andy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":501495,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70048189,"text":"70048189 - 2013 - Effects of thinning on drought vulnerability and climate response in north temperate forest ecosystems","interactions":[],"lastModifiedDate":"2013-12-23T10:26:50","indexId":"70048189","displayToPublicDate":"2013-09-16T12:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of thinning on drought vulnerability and climate response in north temperate forest ecosystems","docAbstract":"Reducing tree densities through silvicultural thinning has been widely advocated as a strategy for enhancing resistance and resilience to drought, yet few empirical evaluations of this approach exist. We examined detailed dendrochronological data from a long-term (>50 yrs) replicated thinning experiment to determine if density reductions conferred greater resistance and/or resilience to droughts, assessed by the magnitude of stand-level growth reductions. Our results suggest that thinning generally enhanced drought resistance and resilience; however, this relationship showed a pronounced reversal over time in stands maintained at lower tree densities. Specifically, lower-density stands exhibited greater resistance and resilience at younger ages (49 years), yet exhibited lower resistance and resilience at older ages (76 years), relative to higher-density stands. We attribute this reversal to significantly greater tree sizes attained within the lower-density stands through stand development, which in turn increased tree-level water demand during the later droughts. Results from response-function analyses indicate that thinning altered growth-climate relationships, such that higher-density stands were more sensitive to growing-season precipitation relative to lower-density stands. These results confirm the potential of density management to moderate drought impacts on growth, and they highlight the importance of accounting for stand structure when predicting climate-change impacts to forest systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0677.1","usgsCitation":"D’Amato, A.W., Bradford, J.B., Fraver, S., and Palik, B.J., 2013, Effects of thinning on drought vulnerability and climate response in north temperate forest ecosystems: Ecological Applications, v. 23, no. 8, p. 1735-1742, https://doi.org/10.1890/13-0677.1.","productDescription":"8 p.","startPage":"1735","endPage":"1742","numberOfPages":"8","ipdsId":"IP-042109","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-0677.1","text":"Publisher Index Page"},{"id":277600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277573,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0677.1"},{"id":277574,"type":{"id":15,"text":"Index Page"},"url":"https://www.esajournals.org/doi/abs/10.1890/13-0677.1"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,0.0011111111111111111 ], [ -92,0.0011111111111111111 ], [ -89,0.0011111111111111111 ], [ -89,0.0011111111111111111 ], [ -92,0.0011111111111111111 ] ] ] } } ] }","volume":"23","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52381a4fe4b0c7d45ef060ef","contributors":{"authors":[{"text":"D’Amato, Anthony W.","contributorId":35632,"corporation":false,"usgs":true,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":483942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":483941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":483944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palik, Brian J.","contributorId":78619,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483943,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048191,"text":"sir20135134 - 2013 - Potential depletion of surface water in the Colorado River and agricultural drains by groundwater pumping in the Parker-Palo Verde-Cibola area, Arizona and California","interactions":[],"lastModifiedDate":"2013-09-16T07:55:11","indexId":"sir20135134","displayToPublicDate":"2013-09-16T07:46:54","publicationYear":"2013","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":"2013-5134","title":"Potential depletion of surface water in the Colorado River and agricultural drains by groundwater pumping in the Parker-Palo Verde-Cibola area, Arizona and California","docAbstract":"Water use along the lower Colorado River is allocated as “consumptive use,” which is defined to be the amount of water diverted from the river minus the amount that returns to the river. Diversions of water from the river include surface water in canals and water removed from the river by pumping wells in the aquifer connected to the river. A complication in accounting for water pumped by wells occurs if the pumping depletes water in drains and reduces measured return flow in those drains. In that case, consumptive use of water pumped by the wells is accounted for in the reduction of measured return flow. A method is needed to understand where groundwater pumping will deplete water in the river and where it will deplete water in drains. To provide a basis for future accounting for pumped groundwater in the Parker-Palo Verde-Cibola area, a superposition model was constructed. The model consists of three layers of finite-difference cells that cover most of the aquifer in the study area. The model was run repeatedly with each run having a pumping well in a different model cell. The source of pumped water that is depletion of the river, expressed as a fraction of the pumping rate, was computed for all active cells in model layer 1, and maps were constructed to understand where groundwater pumping depletes the river and where it depletes drains. The model results indicate that if one or more drains exist between a pumping well location and the river, nearly all of the depletion will be from drains, and little or no depletion will come from the Colorado River. Results also show that if a well pumps on a side of the river with no drains in the immediate area, depletion will come from the Colorado River. Finally, if a well pumps between the river and drains that parallel the river, a fraction of the pumping will come from the river and the rest will come from the drains. Model results presented in this report may be considered in development or refinement of strategies for accounting for groundwater pumping in the river aquifer connected to the Colorado River in the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135134","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Leake, S.A., Owen-Joyce, S.J., and Heilman, J., 2013, Potential depletion of surface water in the Colorado River and agricultural drains by groundwater pumping in the Parker-Palo Verde-Cibola area, Arizona and California: U.S. Geological Survey Scientific Investigations Report 2013-5134, iv, 13 p., https://doi.org/10.3133/sir20135134.","productDescription":"iv, 13 p.","numberOfPages":"20","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":277579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135134.jpg"},{"id":277577,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5134/"},{"id":277578,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5134/pdf/sir2013-5134.pdf"}],"country":"United States","state":"Arizona;California","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,33 ], [ -115.5,34.5 ], [ -113.75,34.5 ], [ -113.75,33 ], [ -115.5,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52381a7fe4b0c7d45ef060f3","contributors":{"authors":[{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Owen-Joyce, Sandra J. 0000-0002-4400-5618 sjowen@usgs.gov","orcid":"https://orcid.org/0000-0002-4400-5618","contributorId":5215,"corporation":false,"usgs":true,"family":"Owen-Joyce","given":"Sandra","email":"sjowen@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":483950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heilman, Julian A. jahr@usgs.gov","contributorId":5727,"corporation":false,"usgs":true,"family":"Heilman","given":"Julian A.","email":"jahr@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048183,"text":"ds777 - 2013 - Geodatabase compilation of hydrogeologic, remote sensing, and water-budget-component data for the High Plains aquifer, 2011","interactions":[],"lastModifiedDate":"2016-08-05T13:43:08","indexId":"ds777","displayToPublicDate":"2013-09-13T13:39:00","publicationYear":"2013","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":"777","title":"Geodatabase compilation of hydrogeologic, remote sensing, and water-budget-component data for the High Plains aquifer, 2011","docAbstract":"<p>The High Plains aquifer underlies almost 112 million acres in the central United States. It is one of the largest aquifers in the Nation in terms of annual groundwater withdrawals and provides drinking water for 2.3 million people. The High Plains aquifer has gained national and international attention as a highly stressed groundwater supply primarily because it has been appreciably depleted in some areas. The U.S. Geological Survey has an active program to monitor the changes in groundwater levels for the High Plains aquifer and has documented substantial water-level changes since predevelopment: the High Plains Groundwater Availability Study is part of a series of regional groundwater availability studies conducted to evaluate the availability and sustainability of major aquifers across the Nation. The goals of the regional groundwater studies are to quantify current groundwater resources in an aquifer system, evaluate how these resources have changed over time, and provide tools to better understand a systems response to future demands and environmental stresses. The purpose of this report is to present selected data developed and synthesized for the High Plains aquifer as part of the High Plains Groundwater Availability Study. The High Plains Groundwater Availability Study includes the development of a water-budget-component analysis for the High Plains completed in 2011 and development of a groundwater-flow model for the northern High Plains aquifer. Both of these tasks require large amounts of data about the High Plains aquifer. Data pertaining to the High Plains aquifer were collected, synthesized, and then organized into digital data containers called geodatabases. There are 8 geodatabases, 1 file geodatabase and 7 personal geodatabases, that have been grouped in three categories: hydrogeologic data, remote sensing data, and water-budget-component data. The hydrogeologic data pertaining to the northern High Plains aquifer is included in three separate geodatabases: (1) base data from a groundwater-flow model; (2) hydrogeology and hydraulic properties data; and (3) groundwater-flow model data to be used as calibration targets. The remote sensing data for this study were developed by the U. S. Geological Survey Earth Resources Observation and Science Center and include historical and predicted land-use/land-cover data and actual evapotranspiration data by using remotely sensed temperature data. The water-budget-component data contains selected raster data from maps in the &ldquo;Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 Through 1949 and 2000 Through 2009&rdquo; report completed in 2011 (<a href=\"http://pubs.usgs.gov/sir/2011/5183/\" target=\"_blank\">http://pubs.usgs.gov/sir/2011/5183/</a>). Federal Geographic Data Committee compliant metadata were created for each spatial and tabular data layer in the geodatabases.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds777","usgsCitation":"Houston, N.A., Gonzales-Bradford, S.L., Flynn, A., Qi, S.L., Peterson, S.M., Stanton, J.S., Ryter, D.W., Sohl, T.L., and Senay, G., 2013, Geodatabase compilation of hydrogeologic, remote sensing, and water-budget-component data for the High Plains aquifer, 2011: U.S. Geological Survey Data Series 777, Report: vii, 12 p.; 29 Datasets, https://doi.org/10.3133/ds777.","productDescription":"Report: vii, 12 p.; 29 Datasets","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":277569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds777.gif"},{"id":277567,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/777/"},{"id":277568,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/777/pdf/ds777.pdf"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -96,0.0011111111111111111 ], [ -96,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523425d2e4b0b9e9b3336cd6","contributors":{"authors":[{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzales-Bradford, Sophia L.","contributorId":92572,"corporation":false,"usgs":true,"family":"Gonzales-Bradford","given":"Sophia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Amanda T.","contributorId":66586,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda T.","affiliations":[],"preferred":false,"id":483929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ryter, Derek W. 0000-0002-2488-626X dryter@usgs.gov","orcid":"https://orcid.org/0000-0002-2488-626X","contributorId":3395,"corporation":false,"usgs":true,"family":"Ryter","given":"Derek","email":"dryter@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science 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,{"id":70048170,"text":"ds791 - 2013 - Hydrographs showing groundwater levels for selected wells in the Puyallup River watershed and vicinity, Pierce and King Counties, Washington","interactions":[],"lastModifiedDate":"2015-05-28T16:50:41","indexId":"ds791","displayToPublicDate":"2013-09-13T11:17:00","publicationYear":"2013","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":"791","title":"Hydrographs showing groundwater levels for selected wells in the Puyallup River watershed and vicinity, Pierce and King Counties, Washington","docAbstract":"<p>Hydrographs of groundwater levels for selected wells in and adjacent to the Puyallup River watershed in Pierce and King Counties, Washington, are presented using an interactive Web-based map of the study area to illustrate changes in groundwater levels on a monthly and seasonal basis. The interactive map displays well locations that link to the hydrographs, which in turn link to the U.S. Geological Survey National Water Information System, Groundwater Site Inventory System.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds791","usgsCitation":"Lane, R.C., Julich, R.J., and Justin, G., 2013, Hydrographs showing groundwater levels for selected wells in the Puyallup River watershed and vicinity, Pierce and King Counties, Washington (Originally posted September 13, 2013; Revised and reposted August 25, 2014, Version 1.1; Revised and reposted May 28, 2015, Version 1.2): U.S. Geological Survey Data Series 791, HTML Document; Conversion Factors and Datums; 2 Figures; Table 1; Interactive Map, https://doi.org/10.3133/ds791.","productDescription":"HTML Document; Conversion Factors and Datums; 2 Figures; Table 1; Interactive Map","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":277556,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds791.PNG"},{"id":277549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/791/index.html"},{"id":277553,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/figure1.html","text":"Figure 1","linkFileType":{"id":5,"text":"html"},"description":"Figure 1"},{"id":277552,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/conversions.html","text":"Conversion Factors and Datums","linkFileType":{"id":5,"text":"html"},"description":"Conversion Factors and Datums"},{"id":277554,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/figure2.html","text":"Figure 2","linkFileType":{"id":5,"text":"html"},"description":"Figure 2"},{"id":277555,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/ds791_table1.xlsx","text":"Table 1","size":"23 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 1"},{"id":277560,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://wa.water.usgs.gov/projects/puyallupgw/hydrographs.htm","text":"Interactive Map","description":"Interactive Map"}],"country":"United States","state":"Washington","county":"King County, Pierce County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.47764587402344,\n              47.43319679984749\n            ],\n            [\n              -122.0972442626953,\n              47.43366127871628\n            ],\n            [\n              -122.0969009399414,\n              47.34580193235629\n            ],\n            [\n              -121.84661865234374,\n              47.34487142066085\n            ],\n            [\n              -121.8445587158203,\n              47.26292215345572\n            ],\n            [\n              -121.48681640624999,\n              47.265252010946085\n            ],\n            [\n              -121.48406982421875,\n              46.992431036151324\n            ],\n            [\n              -121.981201171875,\n              46.992431036151324\n            ],\n            [\n              -121.97982788085938,\n              46.91322000960565\n            ],\n            [\n              -122.35816955566406,\n              46.91087470241917\n            ],\n            [\n              -122.35954284667967,\n              47.08415026205488\n            ],\n            [\n              -122.4872589111328,\n              47.08321514774161\n            ],\n            [\n              -122.47764587402344,\n              47.43319679984749\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Originally posted September 13, 2013; Revised and reposted August 25, 2014, Version 1.1; Revised and reposted May 28, 2015, Version 1.2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52342605e4b0b9e9b3336cda","contributors":{"authors":[{"text":"Lane, R. 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,{"id":70048143,"text":"ds703 - 2013 - The δ2H and δ18O of tap water from 349 sites in the United States and selected territories","interactions":[],"lastModifiedDate":"2026-05-07T17:01:59.799679","indexId":"ds703","displayToPublicDate":"2013-09-12T12:40:00","publicationYear":"2013","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":"703","displayTitle":"The δ<sup>2</sup>H and δ<sup>18</sup>O of tap water from 349 sites in the United States and selected territories","title":"The δ2H and δ18O of tap water from 349 sites in the United States and selected territories","docAbstract":"Because the stable isotopic compositions of hydrogen (δ<sup>2</sup>H) and oxygen (δ<sup>18</sup>O) of animal (including human) tissues, such as hair, nail, and urine, reflect the δ<sup>2</sup>H and δ<sup>18</sup>O of water and food ingested by an animal or a human and because the δ<sup>2</sup>H and δ<sup>18</sup>O of environmental waters vary geographically, δ<sup>2</sup>H and δ<sup>18</sup>O values of tap water samples collected in 2007-2008 from 349 sites in the United States and three selected U.S. territories have been measured in support of forensic science applications, creating one of the largest databases of tap water δ<sup>2</sup>H and δ<sup>18</sup>O values to date. The results of replicate isotopic measurements for these tap water samples confirm that the expanded uncertainties (U = 2μ<sub>c</sub>) obtained over a period of years by the Reston Stable Isotope Laboratory from δ<sup>2</sup>H and δ<sup>18</sup>O dual-inlet mass spectrometric measurements are conservative, at ±2‰ and ±0.2 ‰, respectively. These uncertainties are important because U.S. Geological Survey data may be needed for forensic science applications, including providing evidence in court cases. Half way through the investigation, an isotope-laser spectrometer was acquired, enabling comparison of dual-inlet isotope-ratio mass spectrometric results with isotope-laser spectrometric results. The uncertainty of the laser-based δ<sup>2</sup>H measurement results for these tap water samples is comparable to the uncertainty of the mass spectrometric method, with the laser-based method having a slightly lower uncertainty. However, the δ<sup>18</sup>O uncertainty of the laser-based method is more than a factor of ten higher than that of the dual-inlet isotoperatio mass spectrometric method.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds703","usgsCitation":"Coplen, T.B., Landwehr, J.M., Qi, H., and Lorenz, J.M., 2013, The δ<sup>2</sup>H and δ<sup>18</sup>O of tap water from 349 sites in the United States and selected territories: U.S. Geological Survey Data Series 703, iv, 113 p., https://doi.org/10.3133/ds703.","productDescription":"Report: iv, 113 p.; Appendix","numberOfPages":"117","onlineOnly":"Y","costCenters":[{"id":543,"text":"Reston Stable Isotope Laboratory","active":false,"usgs":true}],"links":[{"id":504107,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98949.htm","linkFileType":{"id":5,"text":"html"}},{"id":277518,"rank":3,"type":{"id":15,"text":"Index 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Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":483841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landwehr, Jurate M. jmlandwe@usgs.gov","contributorId":2345,"corporation":false,"usgs":true,"family":"Landwehr","given":"Jurate","email":"jmlandwe@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":483842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":483840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":483843,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048114,"text":"70048114 - 2013 - Linking river management to species conservation using dynamic landscape scale models","interactions":[],"lastModifiedDate":"2013-09-12T12:56:29","indexId":"70048114","displayToPublicDate":"2013-09-12T12:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Linking river management to species conservation using dynamic landscape scale models","docAbstract":"Efforts to conserve stream and river biota could benefit from tools that allow managers to evaluate landscape-scale changes in species distributions in response to water management decisions. We present a framework and methods for integrating hydrology, geographic context and metapopulation processes to simulate effects of changes in streamflow on fish occupancy dynamics across a landscape of interconnected stream segments. We illustrate this approach using a 482 km<sup>2</sup> catchment in the southeastern US supporting 50 or more stream fish species. A spatially distributed, deterministic and physically based hydrologic model is used to simulate daily streamflow for sub-basins composing the catchment. We use geographic data to characterize stream segments with respect to channel size, confinement, position and connectedness within the stream network. Simulated streamflow dynamics are then applied to model fish metapopulation dynamics in stream segments, using hypothesized effects of streamflow magnitude and variability on population processes, conditioned by channel characteristics. The resulting time series simulate spatially explicit, annual changes in species occurrences or assemblage metrics (e.g. species richness) across the catchment as outcomes of management scenarios. Sensitivity analyses using alternative, plausible links between streamflow components and metapopulation processes, or allowing for alternative modes of fish dispersal, demonstrate large effects of ecological uncertainty on model outcomes and highlight needed research and monitoring. Nonetheless, with uncertainties explicitly acknowledged, dynamic, landscape-scale simulations may prove useful for quantitatively comparing river management alternatives with respect to species conservation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.2575","usgsCitation":"Freeman, M., Buell, G.R., Hay, L.E., Hughes, W.B., Jacobson, R.B., Jones, J., Jones, S., LaFontaine, J.H., Odom, K.R., Peterson, J., Riley, J.W., Schindler, J.S., Shea, C., and Weaver, J., 2013, Linking river management to species conservation using dynamic landscape scale models: River Research and Applications, v. 29, no. 7, p. 906-918, https://doi.org/10.1002/rra.2575.","productDescription":"13 p.","startPage":"906","endPage":"918","numberOfPages":"13","ipdsId":"IP-017718","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277469,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2575"},{"id":277509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.0,29.0 ], [ -87.0,35.0 ], [ -83.0,35.0 ], [ -83.0,29.0 ], [ -87.0,29.0 ] ] ] } } ] }","volume":"29","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-04-20","publicationStatus":"PW","scienceBaseUri":"5232d470e4b0b7ac626cfa2f","contributors":{"authors":[{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":483772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buell, Gary R. grbuell@usgs.gov","contributorId":3107,"corporation":false,"usgs":true,"family":"Buell","given":"Gary","email":"grbuell@usgs.gov","middleInitial":"R.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":483765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, W. Brian","contributorId":84353,"corporation":false,"usgs":true,"family":"Hughes","given":"W.","email":"","middleInitial":"Brian","affiliations":[],"preferred":false,"id":483778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":483768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, S.A.","contributorId":38596,"corporation":false,"usgs":true,"family":"Jones","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":483776,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Odom, Kenneth R.","contributorId":72087,"corporation":false,"usgs":true,"family":"Odom","given":"Kenneth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":483777,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":483767,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483773,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schindler, J. Stephen 0000-0001-9550-5957 sschindl@usgs.gov","orcid":"https://orcid.org/0000-0001-9550-5957","contributorId":3270,"corporation":false,"usgs":true,"family":"Schindler","given":"J.","email":"sschindl@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":483771,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shea, C.","contributorId":36834,"corporation":false,"usgs":true,"family":"Shea","given":"C.","email":"","affiliations":[],"preferred":false,"id":483775,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Weaver, J.D.","contributorId":29466,"corporation":false,"usgs":true,"family":"Weaver","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":483774,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70048144,"text":"70048144 - 2013 - Does calving matter? Evidence for significant submarine melt","interactions":[],"lastModifiedDate":"2018-07-07T18:09:02","indexId":"70048144","displayToPublicDate":"2013-09-12T09:36:18","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Does calving matter? Evidence for significant submarine melt","docAbstract":"During the summer in the northeast Pacific Ocean, the Alaska Coastal Current sweeps water with temperatures in excess of 12 °C past the mouths of glacierized fjords and bays. The extent to which these warm waters affect the mass balance of Alaskan tidewater glaciers is uncertain. Here we report hydrographic measurements made within Icy Bay, Alaska, and calculate rates of submarine melt at Yahtse Glacier, a tidewater glacier terminating in Icy Bay. We find strongly stratified water properties consistent with estuarine circulation and evidence that warm Gulf of Alaska water reaches the head of 40 km-long Icy Bay, largely unaltered. A 10–20 m layer of cold, fresh, glacially-modified water overlies warm, saline water. The saline water is observed to reach up to 10.4 °C within 1.5 km of the terminus of Yahtse Glacier. By quantifying the heat and salt deficit within the glacially-modified water, we place bounds on the rate of submarine melt. The submarine melt rate is estimated at >9 m d<sup>−1</sup>, at least half the rate at which ice flows into the terminus region, and can plausibly account for all of the submarine terminus mass loss. Our measurements suggest that summer and fall subaerial calving is a direct response to thermal undercutting of the terminus, further demonstrating the critical role of the ocean in modulating tidewater glacier dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2013.08.014","usgsCitation":"Bartholomaus, T.C., Larsen, C., and O’Neel, S., 2013, Does calving matter? Evidence for significant submarine melt: Earth and Planetary Science Letters, v. 380, p. 21-30, https://doi.org/10.1016/j.epsl.2013.08.014.","productDescription":"10 p.","startPage":"21","endPage":"30","ipdsId":"IP-044262","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":277536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277510,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2013.08.014"}],"country":"United States","state":"Alaska","otherGeospatial":"Icy Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -141.6059,59.9093 ], [ -141.6059,60.0998 ], [ -141.2761,60.0998 ], [ -141.2761,59.9093 ], [ -141.6059,59.9093 ] ] ] } } ] }","volume":"380","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523433e4e4b0b9e9b3336d1f","contributors":{"authors":[{"text":"Bartholomaus, Timothy C.","contributorId":50437,"corporation":false,"usgs":true,"family":"Bartholomaus","given":"Timothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":483845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Christopher F.","contributorId":107178,"corporation":false,"usgs":true,"family":"Larsen","given":"Christopher F.","affiliations":[],"preferred":false,"id":483846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":483844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048132,"text":"sir20135116 - 2013 - Sediment distribution and hydrologic conditions of the Potomac aquifer in Virginia and parts of Maryland and North Carolina","interactions":[],"lastModifiedDate":"2017-01-17T20:46:55","indexId":"sir20135116","displayToPublicDate":"2013-09-11T15:08:00","publicationYear":"2013","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":"2013-5116","title":"Sediment distribution and hydrologic conditions of the Potomac aquifer in Virginia and parts of Maryland and North Carolina","docAbstract":"Sediments of the heavily used Potomac aquifer broadly contrast across major structural features of the Atlantic Coastal Plain Physiographic Province in eastern Virginia and adjacent parts of Maryland and North Carolina. Thicknesses and relative dominance of the highly interbedded fluvial sediments vary regionally. Vertical intervals in boreholes of coarse-grained sediment commonly targeted for completion of water-supply wells are thickest and most widespread across the central and southern parts of the Virginia Coastal Plain. Designated as the Norfolk arch depositional subarea, the entire sediment thickness here functions hydraulically as a single interconnected aquifer. By contrast, coarse-grained sediment intervals are thinner and less widespread across the northern part of the Virginia Coastal Plain and into southern Maryland, designated as the Salisbury embayment depositional subarea. Fine-grained intervals that are generally avoided for completion of water-supply wells are increasingly thick and widespread northward. Fine-grained intervals collectively as thick as several hundred feet comprise two continuous confining units that hydraulically separate three vertically spaced subaquifers. The subaquifers are continuous northward but merge southward into the single undivided Potomac aquifer. Lastly, far southeastern Virginia and northeastern North Carolina are designated as the Albemarle embayment depositional subarea, where both coarse- and fine-grained intervals are of only moderate thickness. The entire sediment thickness functions hydraulically as a single interconnected aquifer. A substantial hydrologic separation from overlying aquifers is imposed by the upper Cenomanian confining unit.\n\nPotomac aquifer sediments were deposited by a fluvial depositional complex spanning the Virginia Coastal Plain approximately 100 to 145 million years ago. Westward, persistently uplifted granite and gneiss source rocks sustained a supply of coarse-grained sand and gravel. Immature, high-gradient braided streams deposited longitudinal bars and channel fills across the Norfolk arch subarea. By contrast, across the Salisbury and Albemarle embayment subareas, mature, medium- to low-gradient meandering streams deposited medium- to coarse-grained channel fills and point bars segregated from fine-grained overbank deposits. The Virginia depositional complex merged northward across the Salisbury embayment subarea with another complex in Maryland. Here, additional sediments were received from schist source rocks that underwent three cycles of initial uplift and rapid erosion followed by crustal stability and erosional leveling.\n\nBecause of the predominance of coarse-grained sediments, transmissivity, hydraulic conductivity, and regional velocities of lateral flow through the Potomac aquifer are greatest across the Norfolk arch depositional subarea, but decrease progressively northward with increasingly fine-grained sediments. Confining units hydraulically separate the Potomac aquifer from overlying aquifers, as indicated by large vertical hydraulic gradients. By contrast, most of the Potomac aquifer internally functions hydraulically as a single interconnected aquifer, as indicated by uniformly small vertical gradients. Most fine-grained sediments within the aquifer do not hydraulically separate overlying and underlying coarse-grained sediments. Across the Salisbury embayment depositional subarea, however, hydraulic separation among the vertically spaced subaquifers is imposed by the intervening confining units.\n\nThe Potomac aquifer is the largest and most heavily used source of groundwater in the Virginia Coastal Plain. Water-level declines as great as 200 feet create the potential for saltwater intrusion. Conventional stratigraphic correlation has been generally ineffective at accurately characterizing complexly distributed fluvial sediments that compose the Potomac aquifer. Consequently, the aquifer’s internal hydraulic connectivity and overall hydrologic function have not been well understood. Water-supply planning and development efforts have been hampered, and interpretations of regulatory criteria for allowable water-level declines have been ambiguous.\n\nAn investigation undertaken during 2010–11 by the U.S. Geological Survey, in cooperation with the Virginia Department of Environmental Quality, provides a comprehensive regional description of the spatial distribution of Potomac aquifer sediments and their relation to hydrologic conditions. Altitudes and thicknesses of 2,725 vertical sediment intervals represent the spatial distribution of Potomac aquifer sediments in the Virginia Coastal Plain and adjacent parts of Maryland and North Carolina. Sediment intervals are designated as either dominantly coarse or fine grained and were determined by interpretation of geophysical logs and ancillary information from 456 boreholes. Sediment-interval and borehole summary statistical data indicate regional trends in sediment lithology and stratigraphic continuity, upon which three structurally based and hydrologically distinct sediment depositional subareas are designated. Broad patterns of sediment deposition over time are inferred from published sediment pollen-age data. Discrepancies in previously drawn hydrostratigraphic relations between southeastern Virginia and northeastern North Carolina are partly resolved based on borehole geophysical logs and a recently documented geologic map and corehole. A conceptual model theorizes the depositional history of the sediments and geologically accounts for their distribution. Documented pumping tests of the Potomac aquifer at 197 locations produced 336 values of transmissivity and 127 values of storativity. Based on effective aquifer thicknesses, 296 values of sediment hydraulic conductivity and 113 values of sediment specific storage are calculated. Vertical hydraulic gradients are calculated from 9,479 pairs of water levels measured between November 17, 1953, and October 4, 2011, in 129 closely spaced pairs of wells.\n\nBorehole sediment-interval and related data provide a means to achieve high yielding production wells in the Potomac aquifer by site-specific targeting of drilling operations toward water-bearing coarse-grained sand and gravel. Advance knowledge of the potential of different parts of the aquifer also aids in planning optimal groundwater-development areas. Depositional subareas further provide a possible context for resource management. Current (2013) regulatory limits on water-level declines are relative to top surfaces of subdivided upper, middle, and lower Potomac aquifers across the entire Virginia Coastal Plain, but have the potential to exceed the same limit relative to a single undivided Potomac aquifer. By contrast, designation of the sediments as a single aquifer in the Norfolk arch and Albemarle embayment subareas—and as a series of vertically spaced subaquifers and intervening confining units in the Salisbury embayment subarea—best reflects understanding of the Potomac aquifer and can avoid the potential for excessive water-level declines. Simulation modeling to evaluate effects of groundwater withdrawals could be designed similarly, including vertical discretization and (or) zonation of the Potomac aquifer based on depositional subareas and a geostatistical distribution of aquifer properties derived from borehole sediment-interval data. Further resource-management information needs extend beyond the developed part of the Potomac aquifer, particularly across the Northern Neck and Middle Peninsula where only the shallowest part of the aquifer is known, and include structural aspects such as faults, basement bedrock, and the Chesapeake Bay impact crater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135116","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality","usgsCitation":"McFarland, R.E., 2013, Sediment distribution and hydrologic conditions of the Potomac aquifer in Virginia and parts of Maryland and North Carolina: U.S. Geological Survey Scientific Investigations Report 2013-5116, Report: vi, 67 p.; 3 Attachments; 2 Plates: 24 x 36 inches and 36 x 40 inches, https://doi.org/10.3133/sir20135116.","productDescription":"Report: vi, 67 p.; 3 Attachments; 2 Plates: 24 x 36 inches and 36 x 40 inches","numberOfPages":"77","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":277490,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5116/tables/sir2013-5116_attachment2.xlsx"},{"id":277485,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5116/"},{"id":277484,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5116/pdf/sir2013-5116.pdf"},{"id":277486,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5116/tables/sir2013-5116_attachment3.xlsx"},{"id":277487,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5116/plates/sir2013-5116_plate1.pdf"},{"id":277488,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5116/plates/sir2013-5116_plate2.pdf"},{"id":277491,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5116/tables/sir2013-5116_attachment1.xls"},{"id":277492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135116.jpg"}],"scale":"500000","country":"United States","state":"Maryland, North Carolina, Virginia","otherGeospatial":"Potomac Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6964,35.9713 ], [ -77.6964,38.7026 ], [ -75.26,38.7026 ], [ -75.26,35.9713 ], [ -77.6964,35.9713 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f251e4b0bc0bec0a02f3","contributors":{"authors":[{"text":"McFarland, Randolph E.","contributorId":93879,"corporation":false,"usgs":true,"family":"McFarland","given":"Randolph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":483806,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045871,"text":"70045871 - 2013 - The influence of stream thermal regimes and preferential flow paths on hyporheic exchange in a glacial meltwater stream","interactions":[],"lastModifiedDate":"2018-02-21T17:40:46","indexId":"70045871","displayToPublicDate":"2013-09-11T10:55:56","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"The influence of stream thermal regimes and preferential flow paths on hyporheic exchange in a glacial meltwater stream","docAbstract":"Given projected increases in stream temperatures attributable to global change, improved understanding of relationships between stream temperatures and hyporheic exchange would be useful. We conducted two conservative tracer injection experiments in a glacial meltwater stream, to evaluate the effects of hyporheic thermal gradients on exchange processes, including preferential flow paths (PFPs). The experiments were conducted on the same day, the first (a stream injection) during a cool, morning period and the second (dual stream and hyporheic injections) during a warm, afternoon period. In the morning, the hyporheic zone was thermally uniform at 4°C, whereas by the afternoon the upper 10 cm had warmed to 6–12°C and exhibited greater temperature heterogeneity. Solute transport modeling showed that hyporheic cross-sectional areas (A<sub>s</sub>) at two downstream sites were two and seven times lower during the warm experiment. Exchange metrics indicated that the hyporheic zone had less influence on downstream solute transport during the warm, afternoon experiment. Calculated hyporheic depths were less than 5 cm, contrasting with tracer detection at 10 and 25 cm depths. The hyporheic tracer arrival at one downstream site was rapid, comparable to the in-stream tracer arrival, providing evidence for PFPs. We thus propose a conceptual view of the hyporheic zone in this reach as being dominated by discrete PFPs weaving through hydraulically isolated areas. One explanation for the simultaneous increase in temperature heterogeneity and A<sub>s</sub> decrease in a warmer hyporheic zone may be a flow path preferentiality feedback mechanism resulting from a combination of temperature-related viscosity decreases and streambed heterogeneity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/wrcr.20410","usgsCitation":"Cozzetto, K.D., Bencala, K.E., Gooseff, M.N., and McKnight, D.M., 2013, The influence of stream thermal regimes and preferential flow paths on hyporheic exchange in a glacial meltwater stream: Water Resources Research, v. 49, no. 9, p. 5552-5569, https://doi.org/10.1002/wrcr.20410.","productDescription":"18 p.","startPage":"5552","endPage":"5569","numberOfPages":"18","ipdsId":"IP-045473","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":280980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280977,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20410"}],"otherGeospatial":"Antarctica;Mcmurdo Dry Valleys;Transantarctic Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 162.849,-77.6898 ], [ 162.849,-77.5593 ], [ 163.493,-77.5593 ], [ 163.493,-77.6898 ], [ 162.849,-77.6898 ] ] ] } } ] }","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-11","publicationStatus":"PW","scienceBaseUri":"53cd7819e4b0b2908510bee7","contributors":{"authors":[{"text":"Cozzetto, Karen D.","contributorId":44461,"corporation":false,"usgs":true,"family":"Cozzetto","given":"Karen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":478464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, Michael N.","contributorId":71880,"corporation":false,"usgs":true,"family":"Gooseff","given":"Michael","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":478467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":478465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048107,"text":"ofr20131174 - 2013 - Environmental consequences of the Retsof Salt Mine roof collapse","interactions":[],"lastModifiedDate":"2013-09-10T15:41:44","indexId":"ofr20131174","displayToPublicDate":"2013-09-10T15:05:00","publicationYear":"2013","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":"2013-1174","title":"Environmental consequences of the Retsof Salt Mine roof collapse","docAbstract":"In 1994, the largest salt mine in North America, which had been in operation for more than 100 years, catastrophically flooded when the mine ceiling collapsed. In addition to causing the loss of the mine and the mineral resources it provided, this event formed sinkholes, caused widespread subsidence to land, caused structures to crack and subside, and changed stream flow and erosion patterns. Subsequent flooding of the mine drained overlying aquifers, changed the groundwater salinity distribution (rendering domestic wells unusable), and allowed locally present natural gas to enter dwellings through water wells. Investigations including exploratory drilling, hydrologic and water-quality monitoring, geologic and geophysical studies, and numerical simulation of groundwater flow, salinity, and subsidence have been effective tools in understanding the environmental consequences of the mine collapse and informing decisions about management of those consequences for the future. Salt mines are generally dry, but are susceptible to leaks and can become flooded if groundwater from overlying aquifers or surface water finds a way downward into the mined cavity through hundreds of feet of rock. With its potential to flood the entire mine cavity, groundwater is a constant source of concern for mine operators. The problem is compounded by the viscous nature of salt and the fact that salt mines commonly lie beneath water-bearing aquifers. Salt (for example halite or potash) deforms and “creeps” into the mined openings over time spans that range from years to centuries. This movement of salt can destabilize the overlying rock layers and lead to their eventual sagging and collapse, creating permeable pathways for leakage of water and depressions or openings at land surface, such as sinkholes. Salt is also highly soluble in water; therefore, whenever water begins to flow into a salt mine, the channels through which it flows increase in diameter as the surrounding salt dissolves. Some mines leak at a slow rate for decades before a section of rock gives way, allowing what initially was a trickle of water to suddenly become a cascade and finally a torrent. Other mines become flooded and are destroyed when an errant drill hole punctures the mine ceiling, allowing water from overlying sources to flow into the mine. Either scenario can cause catastrophic flooding and permanent loss of the mine. Occasionally, a mine that has remained dry for a century will undergo a roof collapse that results in flooding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131174","usgsCitation":"Yager, R.M., 2013, Environmental consequences of the Retsof Salt Mine roof collapse: U.S. Geological Survey Open-File Report 2013-1174, Report: iv, 10 p.; Block Diagram, https://doi.org/10.3133/ofr20131174.","productDescription":"Report: iv, 10 p.; Block Diagram","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":277461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131174.gif"},{"id":277458,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1174/"},{"id":277460,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1174/pdf/ofr2013-1174_fig2.pdf"},{"id":277459,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1174/pdf/ofr2013-1174.pdf"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.953148,42.626128 ], [ -77.953148,42.90137 ], [ -77.633171,42.90137 ], [ -77.633171,42.626128 ], [ -77.953148,42.626128 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5230315ce4b04b8e63a20600","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483753,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048096,"text":"ofr20131068 - 2013 - Monitoring plan for mercury in fish tissue and water from the Boise River, Snake River, and Brownlee Reservoir, Idaho and Oregon","interactions":[],"lastModifiedDate":"2016-12-05T09:50:00","indexId":"ofr20131068","displayToPublicDate":"2013-09-10T11:35:00","publicationYear":"2013","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":"2013-1068","title":"Monitoring plan for mercury in fish tissue and water from the Boise River, Snake River, and Brownlee Reservoir, Idaho and Oregon","docAbstract":"The methylmercury criterion adopted as a water-quality standard in the State of Idaho is a concentration in fish tissue rather than a concentration in water. A plan for monitoring mercury in fish tissue and water was developed to evaluate whether fish in the Boise River, Idaho, upstream and downstream of wastewater-treatment plant discharges, meet the methylmercury water-quality criterion. Monitoring also will be conducted at sites on the Snake River, upstream and downstream of the confluence with the Boise River, and in Brownlee Reservoir, which lies along the border between Idaho and Oregon. Descriptions of standard procedures for collecting and processing samples and quality assurance steps are included. This monitoring plan is intended to provide a framework for cooperative methylmercury sampling in the lower Boise River basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131068","collaboration":"Prepared in cooperation with the City of Boise","usgsCitation":"Mebane, C.A., and MacCoy, D.E., 2013, Monitoring plan for mercury in fish tissue and water from the Boise River,\nSnake River, and Brownlee Reservoir, Idaho and Oregon (ver. 1.1, December 2016): U.S. Geological Survey Open-\nFile Report 2013–1068, 26 p., https://pubs.usgs.gov/of/2013/1068/.","productDescription":"Report: iv, 26 p.; Appendix B","numberOfPages":"34","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":331437,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2013/1068/versionHist.txt","size":"510 bytes","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1068 Version History"},{"id":277451,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1068/ofr2013-1068_appendixB.kml","text":"Appendix B","size":"9 KB klm","description":"OFR 2016-1068 Appendix B"},{"id":277450,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1068/","description":"OFR 2016-1068 Index Page"},{"id":277452,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1068/pdf/ofr2013-1068.pdf","text":"Report","size":"226 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1068"},{"id":331438,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1068/coverthb2.jpg"}],"country":"United States","state":"Idaho;Oregon","otherGeospatial":"Boise River;Brownlee Reservoir;Snake River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.6626,43.1152 ], [ -117.6626,44.5319 ], [ -115.6605,44.5319 ], [ -115.6605,43.1152 ], [ -117.6626,43.1152 ] ] ] } } ] }","edition":"Version 1.0: Originally poster September 10, 2013; Version 1.1: December 1 2016","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, Idaho Water Science Center<br> U.S. Geological Survey<br> 230 Collins Road<br> Boise, Idaho 83702<br> <a href=\"http://id.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://id.water.usgs.gov\">http://id.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Background and Objectives<br></li><li>Project Description<br></li><li>Field Sampling and Sample Processing<br></li><li>Laboratory Methods<br></li><li>Quality Assurance and Quality Control&nbsp;<br></li><li>Reporting<br></li><li>References Cited<br></li><li>Appendix A–D<br></li></ul>","publishedDate":"2013-09-10","revisedDate":"2016-12-01","noUsgsAuthors":false,"publicationDate":"2013-09-10","publicationStatus":"PW","scienceBaseUri":"5230315fe4b04b8e63a20608","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacCoy, Dorene E. 0000-0001-6810-4728 demaccoy@usgs.gov","orcid":"https://orcid.org/0000-0001-6810-4728","contributorId":948,"corporation":false,"usgs":true,"family":"MacCoy","given":"Dorene","email":"demaccoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483737,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70123871,"text":"70123871 - 2013 - A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>)","interactions":[],"lastModifiedDate":"2014-09-10T11:36:43","indexId":"70123871","displayToPublicDate":"2013-09-10T11:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>)","docAbstract":"A central challenge of conservation biology is using limited data to predict rare species occurrence and identify conservation areas that play a disproportionate role in regional persistence. Where species occupy discrete patches in a landscape, such predictions require data about environmental quality of individual patches and the connectivity among high quality patches. We present a novel extension to species occupancy modeling that blends traditionalpredictions of individual patch environmental quality with network analysis to estimate connectivity characteristics using limited survey data. We demonstrate this approach using environmental and geospatial attributes to predict observed occupancy patterns of the Yosemite toad (<i>Anaxyrus (= Bufo) canorus</i>) across >2,500 meadows in Yosemite National Park (USA). <i>A. canorus</i>, a Federal Proposed Species, breeds in shallow water associated with meadows. Our generalized linear model (GLM) accurately predicted ~84% of true presence-absence data on a subset of data withheld for testing. The predicted environmental quality of each meadow was iteratively ‘boosted’ by the quality of neighbors within dispersal distance. We used this park-wide meadow connectivity network to estimate the relative influence of an individual Meadow’s ‘environmental quality’ versus its ‘network quality’ to predict: a) clusters of high quality breeding meadows potentially linked by dispersal, b) breeding meadows with high environmental quality that are isolated from other such meadows, c) breeding meadows with lower environmental quality where long-term persistence may critically depend on the network neighborhood, and d) breeding meadows with the biggest impact on park-wide breeding patterns. Combined with targeted data on dispersal, genetics, disease, and other potential stressors, these results can guide designation of core conservation areas for <i>A. canorus</i> in Yosemite National Park.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PlosOne","doi":"10.1371/journal.pone.0072200","usgsCitation":"Berlow, E.L., Knapp, R.A., Ostoja, S.M., Williams, R.J., McKenny, H., Matchett, J.R., Guo, Q., Fellers, G.M., Kleeman, P., Brooks, M.L., and Joppa, L., 2013, A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>): PLoS ONE, v. 8, no. 8, e72200, https://doi.org/10.1371/journal.pone.0072200.","productDescription":"e72200","ipdsId":"IP-042749","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473546,"rank":0,"type":{"id":40,"text":"Open 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