{"pageNumber":"677","pageRowStart":"16900","pageSize":"25","recordCount":68919,"records":[{"id":70038427,"text":"tm7C5 - 2012 - Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models","interactions":[],"lastModifiedDate":"2012-05-31T01:01:41","indexId":"tm7C5","displayToPublicDate":"2012-05-30T00:00:00","publicationYear":"2012","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":"7-C5","title":"Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models","docAbstract":"An object-oriented parameter estimation code was developed to incorporate benefits of object-oriented programming techniques for solving large parameter estimation modeling problems. The code is written in C++ and is a formulation and expansion of the algorithms included in PEST, a widely used parameter estimation code written in Fortran. The new code is called PEST++ and is designed to lower the barriers of entry for users and developers while providing efficient algorithms that can accommodate large, highly parameterized problems. This effort has focused on (1) implementing the most popular features of PEST in a fashion that is easy for novice or experienced modelers to use and (2) creating a software design that is easy to extend; that is, this effort provides a documented object-oriented framework designed from the ground up to be modular and extensible. In addition, all PEST++ source code and its associated libraries, as well as the general run manager source code, have been integrated in the Microsoft Visual Studio® 2010 integrated development environment. The PEST++ code is designed to provide a foundation for an open-source development environment capable of producing robust and efficient parameter estimation tools for the environmental modeling community into the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C5","collaboration":"Great Lakes Restoration Initiative: Computation Water Resource Engineering, Flinders University and Watermark Numerical Computing, S.S. Papadopulos and Associates, Inc., Principia Mathematica, Inc.","usgsCitation":"Welter, D.E., Doherty, J.E., Hunt, R.J., Muffels, C.T., Tonkin, M.J., and Schreuder, W.A., 2012, Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models: U.S. Geological Survey Techniques and Methods 7-C5, iii, 9 p.; Appendices; Software Download, https://doi.org/10.3133/tm7C5.","productDescription":"iii, 9 p.; Appendices; Software Download","onlineOnly":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":257023,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7c5/","linkFileType":{"id":5,"text":"html"}},{"id":257025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_C5.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ece2e4b0c8380cd49532","contributors":{"authors":[{"text":"Welter, David E.","contributorId":107539,"corporation":false,"usgs":true,"family":"Welter","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":464093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muffels, Christopher T.","contributorId":105949,"corporation":false,"usgs":true,"family":"Muffels","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":464096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tonkin, Matthew J.","contributorId":26376,"corporation":false,"usgs":true,"family":"Tonkin","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreuder, Willem A.","contributorId":47213,"corporation":false,"usgs":true,"family":"Schreuder","given":"Willem","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464095,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038428,"text":"sir20125073 - 2012 - Estimation of streamflow gains and losses in the lower San Antonio River watershed, south-central Texas, 2006-10","interactions":[],"lastModifiedDate":"2016-08-08T09:01:48","indexId":"sir20125073","displayToPublicDate":"2012-05-30T00:00:00","publicationYear":"2012","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":"2012-5073","title":"Estimation of streamflow gains and losses in the lower San Antonio River watershed, south-central Texas, 2006-10","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District, investigated streamflow gains and losses during 2006-10 in the lower San Antonio River watershed in south-central Texas. Streamflow gains and losses were estimated using 2006-10 continuous streamflow records from 11 continuous streamflow-gaging stations, and discrete streamflow measurements made at as many as 20 locations on the San Antonio River and selected tributaries during four synoptic surveys during 2006-7. From the continuous streamflow records, the greatest streamflow gain on the lower San Antonio River occurred in the reach from Falls City, Tex., to Goliad, Tex. The greatest streamflow gain on Cibolo Creek during 2006-10 occurred in the reach from near Saint Hedwig, Tex., to Sutherland Springs, Tex. The San Antonio River between Floresville, Tex., and Falls City was the only reach that had an estimated streamflow loss during 2006-10. During all four synoptic streamflow measurement surveys, the only substantially flowing tributary reach to the main stem of the lower San Antonio River was Cibolo Creek. Along the main stem of the lower San Antonio River, verifiable gains larger than the potential measurement error were estimated in two of the four synoptic streamflow measurement surveys. These gaining reaches occurred in the two most downstream reaches of the San Antonio River between Goliad and Farm Road (FM) 2506 near Fannin, Tex., and between FM 2506 near Fannin to near McFaddin. There were verifiable gains in streamflow in Cibolo Creek, between La Vernia, Tex., and the town of Sutherland Springs during all four surveys, estimated at between 4.8 and 14 ft3/s.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125073","collaboration":"Prepared in cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District","usgsCitation":"Lizarraga, J.S., and Wehmeyer, L.L., 2012, Estimation of streamflow gains and losses in the lower San Antonio River watershed, south-central Texas, 2006-10: U.S. Geological Survey Scientific Investigations Report 2012-5073, v, 34 p., https://doi.org/10.3133/sir20125073.","productDescription":"v, 34 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":257029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5073.gif"},{"id":257027,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5073/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Bexar County, Comal County, Dewitt County, Goliad County, Gonzales County, Guadalupe County, Karnes County, Refugio County, Victoria County, Wilson County","otherGeospatial":"San Antonio River, Cibolo Creek, Clara Creek, Ecleto Creek, Escondido Creek, Cabeza Creek, Kicaster Creek, Martinez Creek, Manahuilla Creek, Picosa Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.5,28.5 ], [ -98.5,29.5 ], [ -97,29.5 ], [ -97,28.5 ], [ -98.5,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bb0e4b0c8380cd5281b","contributors":{"authors":[{"text":"Lizarraga, Joy S.","contributorId":43735,"corporation":false,"usgs":true,"family":"Lizarraga","given":"Joy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464099,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009605,"text":"70009605 - 2012 - Examining the contradiction in 'sustainable urban growth': an example of groundwater sustainability","interactions":[],"lastModifiedDate":"2012-05-29T01:01:35","indexId":"70009605","displayToPublicDate":"2012-05-28T11:29:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2261,"text":"Journal of Environmental Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Examining the contradiction in 'sustainable urban growth': an example of groundwater sustainability","docAbstract":"The environmental planning literature proposes a set of 'best management practices' for urban development that assumes improvement in environmental quality as a result of specific urban patterns. These best management practices, however, often do not recognise finite biophysical limits and social impacts that urban patterns alone cannot overcome. To shed light on this debate, we explore the effects of different degrees of urban clustering on groundwater levels using a coupled land-use change and groundwater-flow model. Our simulations show that specific urban forms only slow down the impact on groundwater. As population increases, the pattern in which it is accommodated ceases to matter, and widespread depletion ensues. These results are predictable, yet current planning practice tends to take growth for granted and is reluctant to envision either no-growth scenarios or the prospect of depletion. We propose to use simulations such as those presented here to aid in policy discussions that allow decision makers to question the assumption of sustainable growth and suggest alternative forms of development.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Planning and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor and Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/09640568.2011.614426","usgsCitation":"Zellner, M.L., and Reeves, H.W., 2012, Examining the contradiction in 'sustainable urban growth': an example of groundwater sustainability: Journal of Environmental Planning and Management, v. 55, no. 5, p. 545-562, https://doi.org/10.1080/09640568.2011.614426.","productDescription":"18 p.","startPage":"545","endPage":"562","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":256991,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256986,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1080/09640568.2011.614426","linkFileType":{"id":5,"text":"html"}}],"volume":"55","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d9ce4b0c8380cd530ed","contributors":{"authors":[{"text":"Zellner, Moira L.","contributorId":57305,"corporation":false,"usgs":true,"family":"Zellner","given":"Moira","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356720,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009651,"text":"70009651 - 2012 - Improving sub-grid scale accuracy of boundary features in regional finite-difference models","interactions":[],"lastModifiedDate":"2012-05-30T01:01:38","indexId":"70009651","displayToPublicDate":"2012-05-25T09:37:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Improving sub-grid scale accuracy of boundary features in regional finite-difference models","docAbstract":"As an alternative to grid refinement, the concept of a ghost node, which was developed for nested grid applications, has been extended towards improving sub-grid scale accuracy of flow to conduits, wells, rivers or other boundary features that interact with a finite-difference groundwater flow model. The formulation is presented for correcting the regular finite-difference groundwater flow equations for confined and unconfined cases, with or without Newton Raphson linearization of the nonlinearities, to include the Ghost Node Correction (GNC) for location displacement. The correction may be applied on the right-hand side vector for a symmetric finite-difference Picard implementation, or on the left-hand side matrix for an implicit but asymmetric implementation. The finite-difference matrix connectivity structure may be maintained for an implicit implementation by only selecting contributing nodes that are a part of the finite-difference connectivity. Proof of concept example problems are provided to demonstrate the improved accuracy that may be achieved through sub-grid scale corrections using the GNC schemes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.advwatres.2012.02.011","usgsCitation":"Panday, S., and Langevin, C.D., 2012, Improving sub-grid scale accuracy of boundary features in regional finite-difference models: Advances in Water Resources, v. 41, p. 65-75, https://doi.org/10.1016/j.advwatres.2012.02.011.","productDescription":"11 p.","startPage":"65","endPage":"75","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":257002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":256999,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.advwatres.2012.02.011","linkFileType":{"id":5,"text":"html"}}],"volume":"41","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a397de4b0c8380cd61935","contributors":{"authors":[{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":356811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":356810,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038423,"text":"tm11C5 - 2012 - Analyzing legacy U.S. Geological Survey geochemical databases using GIS: applications for a national mineral resource assessment","interactions":[],"lastModifiedDate":"2013-11-20T12:57:09","indexId":"tm11C5","displayToPublicDate":"2012-05-25T00:00:00","publicationYear":"2012","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":"11-C5","title":"Analyzing legacy U.S. Geological Survey geochemical databases using GIS: applications for a national mineral resource assessment","docAbstract":"This report emphasizes geographic information system analysis and the display of data stored in the legacy U.S. Geological Survey National Geochemical Database for use in mineral resource investigations. Geochemical analyses of soils, stream sediments, and rocks that are archived in the National Geochemical Database provide an extensive data source for investigating geochemical anomalies. A study area in the Egan Range of east-central Nevada was used to develop a geographic information system analysis methodology for two different geochemical datasets involving detailed (Bureau of Land Management Wilderness) and reconnaissance-scale (National Uranium Resource Evaluation) investigations. ArcGIS was used to analyze and thematically map geochemical information at point locations. Watershed-boundary datasets served as a geographic reference to relate potentially anomalous sample sites with hydrologic unit codes at varying scales. The National Hydrography Dataset was analyzed with Hydrography Event Management and ArcGIS Utility Network Analyst tools to delineate potential sediment-sample provenance along a stream network. These tools can be used to track potential upstream-sediment-contributing areas to a sample site. This methodology identifies geochemically anomalous sample sites, watersheds, and streams that could help focus mineral resource investigations in the field.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11C5","usgsCitation":"Yager, D.B., Hofstra, A.H., and Granitto, M., 2012, Analyzing legacy U.S. Geological Survey geochemical databases using GIS: applications for a national mineral resource assessment: U.S. Geological Survey Techniques and Methods 11-C5, iv, 28 p., https://doi.org/10.3133/tm11C5.","productDescription":"iv, 28 p.","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":256977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_c5.png"},{"id":256967,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11c05/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Egan Range","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ebeee4b0c8380cd48f89","contributors":{"authors":[{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038426,"text":"fs20123066 - 2012 - Landsat Data Continuity Mission","interactions":[],"lastModifiedDate":"2012-05-26T01:01:37","indexId":"fs20123066","displayToPublicDate":"2012-05-25T00:00:00","publicationYear":"2012","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":"2012-3066","title":"Landsat Data Continuity Mission","docAbstract":"The Landsat Data Continuity Mission (LDCM) is a partnership formed between the National Aeronautics and Space Administration (NASA) and the U.S. Geological Survey (USGS) to place the next Landsat satellite in orbit in January 2013. The Landsat era that began in 1972 will become a nearly 41-year global land record with the successful launch and operation of the LDCM. The LDCM will continue the acquisition, archiving, and distribution of multispectral imagery affording global, synoptic, and repetitive coverage of the Earth's land surfaces at a scale where natural and human-induced changes can be detected, differentiated, characterized, and monitored over time.\r\nThe mission objectives of the LDCM are to (1) collect and archive medium resolution (30-meter spatial resolution) multispectral image data affording seasonal coverage of the global landmasses for a period of no less than 5 years; (2) ensure that LDCM data are sufficiently consistent with data from the earlier Landsat missions in terms of acquisition geometry, calibration, coverage characteristics, spectral characteristics, output product quality, and data availability to permit studies of landcover and land-use change over time; and (3) distribute LDCM data products to the general public on a nondiscriminatory basis at no cost to the user.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123066","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Landsat Data Continuity Mission: U.S. Geological Survey Fact Sheet 2012-3066, 4 p., https://doi.org/10.3133/fs20123066.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":256974,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3066.gif"},{"id":256968,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3066/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a43cfe4b0c8380cd66631","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535185,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038419,"text":"sir20125036 - 2012 - Altitude, age, and quality of groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992 to 2009","interactions":[],"lastModifiedDate":"2012-05-25T01:01:50","indexId":"sir20125036","displayToPublicDate":"2012-05-24T00:00:00","publicationYear":"2012","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":"2012-5036","title":"Altitude, age, and quality of groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992 to 2009","docAbstract":"The U.S. Geological Survey, in cooperation with the Papio-Missouri River Natural Resources District (PMRNRD), conducted this study to map the water-level altitude of 2009 within the Elkhorn River Valley, Missouri River Valley, and Platte River Valley alluvial aquifers; to present the predevelopment potentiometric-surface altitude within the Dakota aquifer; and to describe the age and quality of groundwater in the five principal aquifers of the PMRNRD in eastern Nebraska using data collected from 1992 to 2009. In addition, implications of alternatives to the current PMRNRD groundwater-quality monitoring approach are discussed. In the PMRNRD, groundwater altitude, relative to National Geodetic Vertical Datum of 1929, ranged from about 1,080 feet (ft) to 1,180 ft in the Elkhorn River Valley alluvial aquifer and from about 960 ft to 1,080 ft in the Missouri River Valley and Platte River Valley alluvial aquifers. In the PMRNRD, the estimated altitude of the potentiometric surface of the Dakota aquifer, predevelopment, ranged from about 1,100 ft to 1,200 ft. To assess groundwater age and quality, groundwater samples were collected from a total of 217 wells from 1992 to 2009 for analysis of various analytes. Groundwater samples collected in the PMRNRD from 1992 to 2009 and interpreted in this report were analyzed for age-dating analytes (chlorofluorocarbons), dissolved gases, major ions, trace elements, nutrients, stable isotope ratios, pesticides and pesticide degradates, volatile organic compounds, explosives, and 222radon. Apparent groundwater age was estimated from concentrations of chlorofluorocarbons measured in samples collected in 2000. Apparent groundwater-recharge dates ranged from older than 1940 in samples from wells screened in the Missouri River Valley alluvial aquifer to the early 1980s in samples from wells screened in the Dakota aquifer. Concentrations of major ions in the most recent sample per well collected from 1992 to 2009 indicate that the predominant water type was calcium bicarbonate. Samples from 4 wells exceeded the U.S. Environmental Protection Agency (USEPA) Secondary Drinking Water Regulation (SDWR) for sulfate [250 milligrams per liter (mg/L)], and samples from 4 wells exceeded the USEPA Drinking Water Advisory Table for sodium (30-60 mg/L). Eighteen of the 21 trace elements analyzed in samples from PMRNRD wells have USEPA drinking-water standards. Sixteen of the trace elements with USEPA standards were detected in the selected samples. In the samples selected for trace-element analysis, the only trace-element concentration that exceeded an enforceable USEPA drinking-water standard, the Maximum Contaminant Level (MCL), was for arsenic; arsenic concentration exceeded the USEPA MCL of 10 micrograms per liter (μg/L) in 4 percent of the samples. Trace-element concentrations that exceeded the USEPA SDWR or Lifetime Health Advisory level were iron (46 percent of the samples were greater than USEPA SDWR of 300 μg/L), manganese (70 percent of the samples were greater than USEPA SDWR of 50 μg/L), and strontium (4 percent of the samples were greater than USEPA Lifetime Health Advisory level of 4,000 μ/L). The concentration of nitrate plus nitrite as nitrogen (nitrate-N) in the most recent nutrient samples collected from the network wells and from one randomly selected well in the well nests from 1992 to 2009 for most wells (80 percent) ranged from less than 0.06 to 8.55 mg/L, with a median value of 0.12 mg/L. Concentrations of nitrate-N in 13 (7 percent) nutrient samples, 1992 to 2009, were greater than or equal to the USEPA MCL and Nebraska Title-118 standard of 10 mg/L, and concentrations of nitrate-N in 35 (18 percent) nutrient samples, 1992 to 2009, were greater than or equal to 5 mg/L, which is the PMRNRD action level for possible management implementation to reduce nitrate concentrations in groundwater. Of the 61 pesticides or pesticide degradates analyzed from 2007 to 2009, 21 were detected. Three of the 21 pesticides detected (alachlor, atrazine, and metolachlor) have established health-based criteria; all detections of these compounds were at concentrations less than their USEPA standards. From 2007 to 2009, 1 or more pesticide compounds were detected in 16 of the 82 network wells and in 18 of the 26 wells in well nests. From 2007 to 2009, the individual pesticide compounds that were detected most frequently were alachlor ethane sulfonic acid, a degradate of alachlor; deethylcyanazine acid, a degradate of cyanazine; and atrazine. Analytes with concentrations that exceeded 30 percent of the applicable Nebraska Title-118 standard were identified so that the PMRNRD can plan to monitor groundwater in the area and consider possible actions should the analyte concentrations continue to rise. The analytical results from the most recent samples collected in the network wells and all the wells in well nests from 1992 to 2009 indicate that, in at least 1 sample, there was a concentration that exceeded 30 percent of the Nebraska Title-118 standard for at least 1 of 3 major ions (chloride, fluoride, and sulfate), 1 nutrient (nitrate-N), 1 pesticide (atrazine), or 3 trace elements (arsenic, iron, and manganese). In addition, 30 percent of the USEPA MCL or Nebraska Title-118 standard for gross alpha activity likely was exceeded in samples from three wells screened in the Dakota aquifer. Study findings indicate that some alternatives to the current PMRNRD groundwater-sampling approach that could be considered are to collect fewer samples for nutrient analysis and to collect samples periodically for determining concentrations of additional analytes, particularly the analytes with concentrations that were at least 30 percent or more than the Nebraska Title-118 standard.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125036","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resources District","usgsCitation":"McGuire, V.L., Ryter, D.W., and Flynn, A.S., 2012, Altitude, age, and quality of groundwater, Papio-Missouri River Natural Resources District, eastern Nebraska, 1992 to 2009: U.S. Geological Survey Scientific Investigations Report 2012-5036, ix, 66 p.; Appendices; Appendices Download Directory, https://doi.org/10.3133/sir20125036.","productDescription":"ix, 66 p.; Appendices; Appendices Download Directory","onlineOnly":"Y","temporalStart":"1992-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":256960,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5036.gif"},{"id":256958,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5036/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Nebraska","county":"Burt;Dakota;Douglas;Sarpy;Thurston;Washington","city":"Bellevue;Blair;Dakota City;Elkhorn;Gretna;Omaha;Papillion;Ralston;South Sioux City;Tekamah","otherGeospatial":"Papio-missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.75,41 ], [ -96.75,42.583333333333336 ], [ -95.75,42.583333333333336 ], [ -95.75,41 ], [ -96.75,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e998e4b0c8380cd4837a","contributors":{"authors":[{"text":"McGuire, Virginia L. 0000-0002-3962-4158 vlmcguir@usgs.gov","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":404,"corporation":false,"usgs":true,"family":"McGuire","given":"Virginia","email":"vlmcguir@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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 Center","active":true,"usgs":true}],"preferred":true,"id":464082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Amanda S.","contributorId":107135,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464083,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159147,"text":"70159147 - 2012 - Bayesian WLS/GLS regression for regional skewness analysis for regions with large crest stage gage networks","interactions":[],"lastModifiedDate":"2021-10-27T16:14:13.779152","indexId":"70159147","displayToPublicDate":"2012-05-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Bayesian WLS/GLS regression for regional skewness analysis for regions with large crest stage gage networks","docAbstract":"

This paper summarizes methodological advances in regional log-space skewness analyses that support flood-frequency analysis with the log Pearson Type III (LP3) distribution. A Bayesian Weighted Least Squares/Generalized Least Squares (B-WLS/B-GLS) methodology that relates observed skewness coefficient estimators to basin characteristics in conjunction with diagnostic statistics represents an extension of the previously developed B-GLS methodology. B-WLS/B-GLS has been shown to be effective in two California studies. B-WLS/B-GLS uses B-WLS to generate stable estimators of model parameters and B-GLS to estimate the precision of those B-WLS regression parameters, as well as the precision of the model. The study described here employs this methodology to develop a regional skewness model for the State of Iowa. To provide cost effective peak-flow data for smaller drainage basins in Iowa, the U.S. Geological Survey operates a large network of crest stage gages (CSGs) that only record flow values above an identified recording threshold (thus producing a censored data record). CSGs are different from continuous-record gages, which record almost all flow values and have been used in previous B-GLS and B-WLS/B-GLS regional skewness studies. The complexity of analyzing a large CSG network is addressed by using the B-WLS/B-GLS framework along with the Expected Moments Algorithm (EMA). Because EMA allows for the censoring of low outliers, as well as the use of estimated interval discharges for missing, censored, and historic data, it complicates the calculations of effective record length (and effective concurrent record length) used to describe the precision of sample estimators because the peak discharges are no longer solely represented by single values. Thus new record length calculations were developed. The regional skewness analysis for the State of Iowa illustrates the value of the new B-WLS/BGLS methodology with these new extensions.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World environmental and water resources congress 2012: Crossing boundaries","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2012: Crossing Boundaries","conferenceDate":"May 20-24 2012","conferenceLocation":"Albuquerque, New Mexico","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412312.227","usgsCitation":"Veilleux, A.G., Stedinger, J.R., and Eash, D.A., 2012, Bayesian WLS/GLS regression for regional skewness analysis for regions with large crest stage gage networks, in World environmental and water resources congress 2012: Crossing boundaries, Albuquerque, New Mexico, May 20-24 2012, p. 2253-2263, https://doi.org/10.1061/9780784412312.227.","productDescription":"11 p.","startPage":"2253","endPage":"2263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034624","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":309969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-07-11","publicationStatus":"PW","scienceBaseUri":"5620ce4fe4b06217fc478ac3","contributors":{"authors":[{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":577702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stedinger, Jery R.","contributorId":76198,"corporation":false,"usgs":true,"family":"Stedinger","given":"Jery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":577703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156625,"text":"70156625 - 2012 - Comparison of acoustic doppler current profiler and Price AA mechanical current meter measurements made during the 2011 Mississippi River Flood","interactions":[],"lastModifiedDate":"2021-10-27T16:18:16.970488","indexId":"70156625","displayToPublicDate":"2012-05-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Comparison of acoustic doppler current profiler and Price AA mechanical current meter measurements made during the 2011 Mississippi River Flood","docAbstract":"

The Mississippi River and Tributaries project performed as designed during the historic 2011 Mississippi River flood, with many of the operational decisions based on discharge targets as opposed to stage. Measurement of discharge at the Tarbert Landing, Mississippi range provides critical information used in operational decisions for the floodways located in Louisiana. Historically, discharge measurements have been made using a Price AA current meter and the mid-section method, and a long record exists based on these types of measurements, including historical peak discharges. Discharge measurements made using an acoustic Doppler current profiler from a moving boat have been incorporated into the record since the mid 1990's, and are used along with the Price AA mid-section measurements. During the 2011 flood event, both methods were used and appeared to provide different results at times. The apparent differences between the measurement techniques are due to complex hydrodynamics at this location that created large spatial and temporal fluctuations in the flow. The data and analysis presented herein show the difference between the two methods to be within the expected accuracy of the measurements when the measurements are made concurrently. The observed fluctuations prevent valid comparisons of data collected sequentially or even with different observation durations.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World environmental and water resources congress 2012: Crossing boundaries","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2012: Crossing Boundaries","conferenceDate":"May 20-24 2012","conferenceLocation":"Albuquerque, New Mexico","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412312.127","usgsCitation":"O’Brien, P., Mueller, D., and Pratt, T., 2012, Comparison of acoustic doppler current profiler and Price AA mechanical current meter measurements made during the 2011 Mississippi River Flood, in World environmental and water resources congress 2012: Crossing boundaries, Albuquerque, New Mexico, May 20-24 2012, p. 1260-1269, https://doi.org/10.1061/9780784412312.127.","productDescription":"9 p.","startPage":"1260","endPage":"1269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035088","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":307404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.9013671875,\n 29.649868677972304\n ],\n [\n -90.7470703125,\n 31.240985378021307\n ],\n [\n -90.8349609375,\n 33.137551192346145\n ],\n [\n -91.5380859375,\n 33.063924198120645\n ],\n [\n -92.197265625,\n 31.052933985705163\n ],\n [\n -91.5380859375,\n 29.878755346037977\n ],\n [\n -90.3515625,\n 28.8831596093235\n ],\n [\n -89.5166015625,\n 28.613459424004414\n ],\n [\n -88.9013671875,\n 29.649868677972304\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2012-07-11","publicationStatus":"PW","scienceBaseUri":"57f7f4fbe4b0bc0bec0a1331","contributors":{"authors":[{"text":"O’Brien, Patrick","contributorId":146976,"corporation":false,"usgs":false,"family":"O’Brien","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":569708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, David","contributorId":146977,"corporation":false,"usgs":false,"family":"Mueller","given":"David","affiliations":[],"preferred":false,"id":569709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thad","contributorId":146978,"corporation":false,"usgs":false,"family":"Pratt","given":"Thad","email":"","affiliations":[],"preferred":false,"id":569710,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038412,"text":"ofr20121077 - 2012 - Automated delineation and characterization of watersheds for more than 3,000 surface-water-quality monitoring stations active in 2010 in Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:05:14","indexId":"ofr20121077","displayToPublicDate":"2012-05-22T13:33:00","publicationYear":"2012","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":"2012-1077","title":"Automated delineation and characterization of watersheds for more than 3,000 surface-water-quality monitoring stations active in 2010 in Texas","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with the Texas Commission on Environmental Quality, developed computer scripts and applications to automate the delineation of watershed boundaries and compute watershed characteristics for more than 3,000 surface-water-quality monitoring stations in Texas that were active during 2010. Microsoft Visual Basic applications were developed using ArcGIS ArcObjects to format the source input data required to delineate watershed boundaries. Several automated scripts and tools were developed or used to calculate watershed characteristics using Python, Microsoft Visual Basic, and the RivEX tool. Automated methods were augmented by the use of manual methods, including those done using ArcMap software. Watershed boundaries delineated for the monitoring stations are limited to the extent of the Subbasin boundaries in the USGS Watershed Boundary Dataset, which may not include the total watershed boundary from the monitoring station to the headwaters.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121077","collaboration":"Prepared in cooperation with the Texas Commission on Environmental Quality","usgsCitation":"Archuleta, C., Gonzales, S.L., and Maltby, D.R., 2012, Automated delineation and characterization of watersheds for more than 3,000 surface-water-quality monitoring stations active in 2010 in Texas: U.S. Geological Survey Open-File Report 2012-1077, v, 33 p., https://doi.org/10.3133/ofr20121077.","productDescription":"v, 33 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":256951,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1077.gif"},{"id":256946,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1077/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,26 ], [ -109,42 ], [ -88,42 ], [ -88,26 ], [ -109,26 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eef3e4b0c8380cd4a066","contributors":{"authors":[{"text":"Archuleta, Christy-Ann M. 0000-0002-4522-8573","orcid":"https://orcid.org/0000-0002-4522-8573","contributorId":9736,"corporation":false,"usgs":true,"family":"Archuleta","given":"Christy-Ann M.","affiliations":[],"preferred":false,"id":464064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzales, Sophia L.","contributorId":93310,"corporation":false,"usgs":true,"family":"Gonzales","given":"Sophia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maltby, David R. II","contributorId":65196,"corporation":false,"usgs":true,"family":"Maltby","given":"David","suffix":"II","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003805,"text":"70003805 - 2012 - A study of the spawning ecology and early life history survival of Bonneville Cutthroat Trout","interactions":[],"lastModifiedDate":"2021-04-26T15:18:10.279933","indexId":"70003805","displayToPublicDate":"2012-05-22T01:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A study of the spawning ecology and early life history survival of Bonneville Cutthroat Trout","docAbstract":"
We completed a large‐scale field experiment in four tributaries of the Logan River, Utah, where the largest metapopulation of imperiled Bonneville cutthroat trout Oncorhynchus clarkii utah persists. We documented the spatial and temporal distributions of spawners, quantified substrate use versus substrate availability, and evaluated differences in hatch and emergence fry success between and among sites in relation to habitat characteristics. We observed considerable variability in the timing, magnitude, and duration of spawning among study areas (streams), in part as a function of a variable, multipeaked hydrograph. Nevertheless, across study areas, >70% of redds were constructed on the final descending limb of the hydrograph. Despite large differences in the amount of spawning substrate available, Bonneville cutthroat trout utilized a narrow range of substrate and sizes (3–80 mm) similar to that utilized by other subspecies of cutthroat trout, albeit biased towards larger sizes. Water temperatures generally remained below the recommended range (6–17°C) for spawning; however, the viability of this metapopulation of cutthroat trout suggests that the recommended temperature range for spawning is overestimated for this subspecies and (or) does not account for local thermal adaptation. Hatch varied from 43% to 77% and emergence survival from 39% to 65% among streams, and within‐stream variability was substantial; both survival rates declined significantly as a function of increased fine sediment concentrations. Egg development rates were nearly 50% greater in a high‐elevation tributary where redd counts were also lowest. In high, mountain systems with short growing seasons, this incubation delay likely presents a significant growth disadvantage for age‐0 trout. Our research enhances our understanding of Bonneville cutthroat trout spawning ecology and early survival and provides critical information for aiding in the development of benchmarks for their recovery. Effective conservation efforts should be directed towards minimizing anthropogenic activities that result in excess sedimentation in their critical spawning tributaries.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2012.675945","usgsCitation":"Budy, P., Wood, S., and Roper, B.B., 2012, A study of the spawning ecology and early life history survival of Bonneville Cutthroat Trout: North American Journal of Fisheries Management, v. 32, no. 3, p. 436-449, https://doi.org/10.1080/02755947.2012.675945.","productDescription":"14 p.","startPage":"436","endPage":"449","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026596","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":385304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Logan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.95205688476562,\n 41.585661192598415\n ],\n [\n -111.95205688476562,\n 41.99624282178583\n ],\n [\n -111.30935668945312,\n 41.99624282178583\n ],\n [\n -111.30935668945312,\n 41.585661192598415\n ],\n [\n -111.95205688476562,\n 41.585661192598415\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-22","publicationStatus":"PW","scienceBaseUri":"55d4572ce4b0518e354694a2","contributors":{"authors":[{"text":"Budy, Phaedra","contributorId":24215,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","affiliations":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":512714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Sara","contributorId":257602,"corporation":false,"usgs":false,"family":"Wood","given":"Sara","email":"","affiliations":[],"preferred":false,"id":814704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roper, Brett B.","contributorId":120701,"corporation":false,"usgs":false,"family":"Roper","given":"Brett","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":512717,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038407,"text":"ds667 - 2012 - Dissolved pesticides, dissolved organic carbon, and water-quality characteristics in selected Idaho streams, April--December 2010","interactions":[],"lastModifiedDate":"2012-05-23T01:01:52","indexId":"ds667","displayToPublicDate":"2012-05-22T00:00:00","publicationYear":"2012","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":"667","title":"Dissolved pesticides, dissolved organic carbon, and water-quality characteristics in selected Idaho streams, April--December 2010","docAbstract":"Water-quality samples were collected from April through December 2010 from four streams in Idaho and analyzed for a suite of pesticides, including fungicides, by the U.S. Geological Survey. Water samples were collected from two agricultural and two nonagricultural (control) streams approximately biweekly from the beginning of the growing season (April) through the end of the calendar year (December). Samples were analyzed for 90 pesticides using gas chromatography/mass spectrometry. Twenty-three pesticides, including 8 fungicides, 10 herbicides, 3 insecticides, and 2 pesticide degradates, were detected in 45 water samples. The most frequently detected compounds in the two agricultural streams and their detection frequencies were metolachlor, 96 percent; azoxystrobin, 79 percent; boscalid, 79 percent; atrazine, 46 percent; pendimethalin, 33 percent; and trifluralin, 33 percent. Dissolved-pesticide concentrations ranged from below instrumental limits of detection (0.5-1.0 nanograms per liter) to 771 nanograms per liter (hexazinone). The total number of pesticides detected in any given water sample ranged from 0 to 11. Only three pesticides (atrazine, fipronil, and simazine) were detected in samples from the control streams during the sampling period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds667","collaboration":"Toxic Substances Hydrology Program","usgsCitation":"Reilly, T.J., Smalling, K., Wilson, E.R., and Battaglin, W.A., 2012, Dissolved pesticides, dissolved organic carbon, and water-quality characteristics in selected Idaho streams, April--December 2010: U.S. Geological Survey Data Series 667, vii, 17 p., https://doi.org/10.3133/ds667.","productDescription":"vii, 17 p.","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":256940,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_667.jpg"},{"id":256935,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/667/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","county":"Canyon;Ada","city":"Parma;Boise","otherGeospatial":"Sand Run Gulch;Cottonwood Creek;Dry Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,43 ], [ -117,44 ], [ -116,44 ], [ -116,43 ], [ -117,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a023fe4b0c8380cd4ff78","contributors":{"authors":[{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":464047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Emma R.","contributorId":58499,"corporation":false,"usgs":true,"family":"Wilson","given":"Emma","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038389,"text":"sir20125078 - 2012 - Analysis of low flows and selected methods for estimating low-flow characteristics at partial-record and ungaged stream sites in western Washington","interactions":[],"lastModifiedDate":"2012-05-22T01:01:41","indexId":"sir20125078","displayToPublicDate":"2012-05-21T09:42:00","publicationYear":"2012","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":"2012-5078","title":"Analysis of low flows and selected methods for estimating low-flow characteristics at partial-record and ungaged stream sites in western Washington","docAbstract":"

A regional low-flow survey of small, perennial streams in western Washington was initiated by the Northwest Indian Fisheries Commission (NWIFC), NWIFC-member tribes, and Point-No-Point Treaty Council in cooperation with the U.S. Geological Survey in 2007 and repeated by the tribes during the low-flow seasons of 2008–09. Low-flow measurements at 63 partial-record and miscellaneous streamflow-measurement sites during surveys in 2007–09 are used with concurrent flows at continuous streamflow-gaging stations (index sites) within the U.S. Geological Survey network to estimate the low-flow metric Q7,10 at each measurement site (Q7,10 is defined as the lowest average streamflow for a consecutive 7-day period that recurs on average once every 10 years). Index-site correlation methods for estimating low-flow characteristics at partial-record sites are reviewed and an empirical Monte Carlo technique is used with the daily streamflow record at 43 index sites to determine the error and bias associated with estimating the Q7,10 at synthetic partial-record sites using three methods: Q-ratio, MOVE.1, and Base-Flow Correlation. The Q-ratio method generally has the lowest error and least amount of bias for 170 scenarios, with each scenario defined by the number of concurrent flow measurements between the partial-record and index sites (ranging from 4 to 20) and the combination of basin attributes used to select the index site. The root-mean square error for the Q-ratio method ranged from 70 to 118 percent, depending on the scenario. The scenario with the smallest root-mean square error used four concurrent flow measurements and the basin attributes: basin area, mean annual precipitation, and base-flow recession time constant, also referred to as tau (τ).

\n

Regional low-flow regression models for estimating Q7,10 at ungaged stream sites are developed from the records of daily discharge at 65 continuous gaging stations (including 22 discontinued gaging stations) for the purpose of evaluating explanatory variables. By incorporating the base-flow recession time constant τ as an explanatory variable in the regression model, the root-mean square error for estimating Q7,10 at ungaged sites can be lowered to 72 percent (for known values of τ), which is 42 percent less than if only basin area and mean annual precipitation are used as explanatory variables. If partial-record sites are included in the regression data set, τ must be estimated from pairs of discharge measurements made during continuous periods of declining low flows. Eight measurement pairs are optimal for estimating τ at partial-record sites, and result in a lowering of the root-mean square error by 25 percent. A low-flow survey strategy that includes paired measurements at partial-record sites requires additional effort and planning beyond a standard strategy, but could be used to enhance regional estimates of τ and potentially reduce the error of regional regression models for estimating low-flow characteristics at ungaged sites.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125078","collaboration":"Prepared in cooperation with the Northwest Indian Fisheries Commission","usgsCitation":"Curran, C.A., Eng, K., and Konrad, C.P., 2012, Analysis of low flows and selected methods for estimating low-flow characteristics at partial-record and ungaged stream sites in western Washington: U.S. Geological Survey Scientific Investigations Report 2012-5078, vi, 36 p.; Appendix, https://doi.org/10.3133/sir20125078.","productDescription":"vi, 36 p.; Appendix","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":256902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5078.jpg"},{"id":256899,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5078/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.83333333333333,49.25 ], [ -124.83333333333333,49 ], [ -121,49 ], [ -121,49.25 ], [ -124.83333333333333,49.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eb1fe4b0c8380cd48c2c","contributors":{"authors":[{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken","contributorId":89480,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","affiliations":[],"preferred":false,"id":464040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038388,"text":"ofr20121098 - 2012 - Distribution and condition of young-of-year Lost River and shortnose suckers in the Williamson River Delta restoration project and Upper Klamath Lake, Oregon, 2008-10--Final Report","interactions":[],"lastModifiedDate":"2012-05-22T01:01:41","indexId":"ofr20121098","displayToPublicDate":"2012-05-21T09:17:00","publicationYear":"2012","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":"2012-1098","title":"Distribution and condition of young-of-year Lost River and shortnose suckers in the Williamson River Delta restoration project and Upper Klamath Lake, Oregon, 2008-10--Final Report","docAbstract":"

The Nature Conservancy undertook restoration of the Williamson River Delta Preserve with a primary goal \"to restore and maintain the diversity of habitats that are essential to the endangered [Lost River sucker (Deltistes luxatus) and shortnose sucker (Chasmistes brevirostris)] while, at the same time, minimizing disturbance and adverse impacts\" (David Evans and Associates, 2005). The Western Fisheries Research Center of the U.S. Geological Survey was asked by the Bureau of Reclamation to assist The Nature Conservancy in assessing the use of the restoration by larval and juvenile suckers. We identified five obtainable objectives to gauge the habitat suitability for young-of-year suckers in the permanently flooded portions of the two most recently restored sections (Goose Bay and Tulana) of the Williamson River Delta Preserve (hereafter referred to as the Preserve) and its effects on the distribution and health of larval and juvenile suckers. Several of these objectives were met through collaborations with The Nature Conservancy, Oregon State University, Oregon Water Science Center, and Leetown Science Center.

\n

Our findings were in concurrence with those of The Nature Conservancy, who found that the Preserve supported young-of-year suckers at least as well as adjacent lake habitats (Erdman and others, 2011) despite the prevalence of non-native and piscivorous species in the system. The Preserve was recolonized by all fishes in the regional species pool, both native and non-native, between the time each portion of the Preserve (Goose Bay and Tulana) was inundated in autumn and the following spring. A large number of fish capable of preying on endangered larval suckers and a few fish that could prey on juvenile suckers were captured in the Preserve, but these species were no more abundant in the Preserve than in adjacent lakes.

\n

Larvae and age-0, age-1, and age-2 juvenile Lost River and shortnose suckers were captured in the Preserve, Upper Klamath Lake, and Agency Lake, indicating that these species reared in restored and unaltered lake habitats. We captured too few larval suckers to examine patterns in spatial or temporal distribution. Once endangered suckers transitioned into juveniles, as defined by morphological development, they continued to disperse from shallow to deep water throughout the Preserve and into adjacent lakes. Age-1 and age-2 suckers captured throughout the Preserve and in adjacent lake habitats, especially in spring, show continued use of restored habitat by these species.

\n

Quantitative examination of habitat use by age-0 juvenile suckers that accounted for imperfect detection indicated the portion of habitat used increased throughout July and August each year until the entire study area was used by one or more age-0 juvenile suckers by the end of August. Our rigorous evaluation showed both restored Preserve and unaltered lake habitats were equally used by age-0 juvenile suckers. Although all sampled habitats were used, multi-state occupancy models indicated that more age-0 suckers occupied shallow rather than deep habitats within the range of depths we sampled (0.5–4.3 m).

\n

We were unable to compare health and condition of juvenile suckers among habitats, due to their movement among habitats. However, documentation of length-weight relationships, afflictions and deformities, and histology indicated juvenile suckers captured in all habitats maintained a similar level of health among the 3 years of our study.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121098","collaboration":"Prepared in cooperation with The Nature Conservancy and the Bureau of Reclamation","usgsCitation":"Burdick, S.M., and Hewitt, D.A., 2012, Distribution and condition of young-of-year Lost River and shortnose suckers in the Williamson River Delta restoration project and Upper Klamath Lake, Oregon, 2008-10--Final Report: U.S. Geological Survey Open-File Report 2012-1098, vi, 24 p.; Figures; Tables; Appendix, https://doi.org/10.3133/ofr20121098.","productDescription":"vi, 24 p.; Figures; Tables; Appendix","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":256901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":256898,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1098/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake;Williamson River Delta Restoration Project","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.11749999999999,42.21666666666667 ], [ -122.11749999999999,42.58416666666667 ], [ -121.73333333333333,42.58416666666667 ], [ -121.73333333333333,42.21666666666667 ], [ -122.11749999999999,42.21666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0283e4b0c8380cd5009c","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464037,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038387,"text":"sir20125092 - 2012 - Relations between winter climatic variables and April streamflows in New England and implications for summer streamflows","interactions":[],"lastModifiedDate":"2012-05-22T01:01:41","indexId":"sir20125092","displayToPublicDate":"2012-05-21T08:46:00","publicationYear":"2012","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":"2012-5092","title":"Relations between winter climatic variables and April streamflows in New England and implications for summer streamflows","docAbstract":"A period of much below normal streamflow in southern New England during April 2012 raised concerns that a long-term period of drought could evolve through late spring and summer, leading to potential water availability issues. To understand better the relations between winter climatic variables and April streamflows, April streamflows from 31 streamflow gages in New England that drain relatively natural watersheds were tested for year-to-year correlation with winter precipitation and air temperature from nearby meteorological sites. Higher winter (December through March) precipitation is associated with higher April streamflows at many gages in northern and central New England. This implies that snowpack accumulation is an important mechanism for winter water storage and subsequently important for spring streamflows in this area. Higher March air temperatures are associated with lower April streamflows at many gages in central and southern New England, likely because the majority of snowmelt runoff occurs before April in warm years. A warm March 2012 contributed to early snowmelt runoff in New England and to much below normal April streamflows in southern New England. However, no strong relation was found between historical April streamflows and late-spring or summer streamflows in New England. The lack of a strong relation implies that summer precipitation, rather than spring conditions, controls summer streamflows.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125092","usgsCitation":"Hodgkins, G.A., Dudley, R.W., and Schalk, L., 2012, Relations between winter climatic variables and April streamflows in New England and implications for summer streamflows: U.S. Geological Survey Scientific Investigations Report 2012-5092, iv, 11 p., https://doi.org/10.3133/sir20125092.","productDescription":"iv, 11 p.","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":256900,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5092.gif"},{"id":256897,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5092/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maine;Vermont;New Hampshire;Massachusetts;Connecticut;Rhode Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,41 ], [ -74,48 ], [ -67,48 ], [ -67,41 ], [ -74,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a708e4b0e8fec6cdc34f","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schalk, Luther 0000-0003-3957-1794 lschalk@usgs.gov","orcid":"https://orcid.org/0000-0003-3957-1794","contributorId":4366,"corporation":false,"usgs":true,"family":"Schalk","given":"Luther","email":"lschalk@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038385,"text":"sir20125023 - 2012 - Transient effects on groundwater chemical compositions from pumping of supply wells at the Nevada National Security Site, 1951-2008","interactions":[],"lastModifiedDate":"2012-05-19T01:01:36","indexId":"sir20125023","displayToPublicDate":"2012-05-18T00:00:00","publicationYear":"2012","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":"2012-5023","title":"Transient effects on groundwater chemical compositions from pumping of supply wells at the Nevada National Security Site, 1951-2008","docAbstract":"Nuclear testing and support activities at the Nevada National Security Site have required large amounts of water for construction, public consumption, drilling, fire protection, hydraulic and nuclear testing, and dust control. To supply this demand, approximately 20,000 million gallons of water have been pumped from 23 wells completed in 19 boreholes located across the Nevada National Security Site starting as early as the 1950s. As a consequence of more or less continuous pumping from many of these wells for periods as long as 58 years, transient groundwater flow conditions have been created in the aquifers that supplied the water. To evaluate whether long-term pumping caused changes in water compositions over time, available chemical analyses of water samples from these 19 boreholes were compiled, screened, and evaluated for variability including statistically significant temporal trends that can be compared to records of groundwater pumping. Data used in this report have been extracted from a large database (Geochem08, revision 3.0, released in September 2008) containing geochemical and isotopic information created and maintained by primary contractors to the U.S. Department of Energy, National Nuclear Security Administration, Nevada Site Office. Data extracted from this source were compiled for the entire period of record, converted to uniform reporting units, and screened to eliminate analyses of poor or unknown quality, as well as clearly spurious values. The resulting data are included in accompanying spreadsheets that give values for (1) pH and specific conductance, (2) major ion concentrations, (3) trace element concentrations and environmental isotope ratios, and (4) mean, median, and variance estimates for major ion concentrations. The resulting data vary widely in quality and time-series density. An effort has been made to establish reasonable ranges of analytical uncertainty expected for each analyte and eliminate analyses that are obvious outliers. Analysis of chemical trends in this report primarily rely on specific conductance measurements and major ion concentrations, data considered to be the most accurate and reliable over the entire time span of investigation. The analysis uses parametric and non-parametric evaluations to provide a statistical basis for trend identification. Trace element and isotope data are examined for consistency, but typically are too inaccurate or infrequent to provide a reliable long term basis for trend evaluation. Groundwater withdrawal records compiled in a companion report are included graphically in this report to allow qualitative comparisons between water quality and pumping history. Data for each supply well include (1) a borehole description and summary of pumping history, (2) a description of water-quality parameters, (3) an evaluation of temporal variations of specific conductance and major ion concentrations, and (4) an examination of supporting information from trace element and isotope data. A range of responses are observed for individual supply wells that likely include the effects of both aquifer dynamics and changing borehole conditions. Data from most wells show little or no evidence for temporal variation in water-quality parameters indicating that aquifers at the Nevada National Security Site are capable of producing large volumes of compositionally uniform water over many years of pumping. A smaller number of wells show evidence of transient changes. Wells that have ceased pumping commonly show compositions that shift toward lower concentrations in subsequent bailed samples, which indicates that more dilute water entered the well over time due to either leakage of meteoric water into the well casing or more wide-spread recharge into the shallow phreatic zone. Wells that show systematic changes in water compositions during episodes of pumping commonly have multiple open intervals whose contributions to water in the well may change over time due to hydraulic conditions or well dynamics.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125023","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management under Interagency Agreement DE-A152-07NA28100","usgsCitation":"Paces, J.B., Elliott, P.E., Fenelon, J.M., Laczniak, R.J., and Moreo, M.T., 2012, Transient effects on groundwater chemical compositions from pumping of supply wells at the Nevada National Security Site, 1951-2008: U.S. Geological Survey Scientific Investigations Report 2012-5023, xii, 104 p.; Appendices; XLS Downloads of Appendices A-D, F; PDF Download of Appendix E, https://doi.org/10.3133/sir20125023.","productDescription":"xii, 104 p.; Appendices; XLS Downloads of Appendices A-D, F; PDF Download of Appendix E","startPage":"i","endPage":"108","numberOfPages":"120","additionalOnlineFiles":"Y","temporalStart":"1951-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":256893,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5023.jpg"},{"id":256891,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5023/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","county":"Nye County","otherGeospatial":"Nevada National Security Site","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb6fbe4b08c986b326faa","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":464029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Peggy E. 0000-0002-7264-664X pelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-7264-664X","contributorId":3805,"corporation":false,"usgs":true,"family":"Elliott","given":"Peggy","email":"pelliott@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":464030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464028,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70038377,"text":"sir20125079 - 2012 - Well network installation and hydrogeologic data collection, Assateague Island National Seashore, Worcester County, Maryland, 2010","interactions":[],"lastModifiedDate":"2023-03-09T20:19:02.55174","indexId":"sir20125079","displayToPublicDate":"2012-05-17T00:00:00","publicationYear":"2012","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":"2012-5079","title":"Well network installation and hydrogeologic data collection, Assateague Island National Seashore, Worcester County, Maryland, 2010","docAbstract":"The U.S. Geological Survey, as part of its Climate and Land Use Change Research and Development Program, is conducting a multi-year investigation to assess potential impacts on the natural resources of Assateague Island National Seashore, Maryland that may result from changes in the hydrologic system in response to projected sea-level rise. As part of this effort, 26 monitoring wells were installed in pairs along five east-west trending transects. Each of the five transects has between two and four pairs of wells, consisting of a shallow well and a deeper well. The shallow well typically was installed several feet below the water table—usually in freshwater about 10 feet below land surface (ft bls)—to measure water-level changes in the shallow groundwater system. The deeper well was installed below the anticipated depth to the freshwater-saltwater interface—usually in saltwater about 45 to 55 ft bls—for the purpose of borehole geophysical logging to characterize local differences in lithology and salinity and to monitor tidal influences on groundwater. Four of the 13 shallow wells and 5 of the 13 deeper wells were instrumented with water-level recorders that collected water-level data at 15-minute intervals from August 12 through September 28, 2010. Data collected from these instrumented wells were compared with tide data collected north of Assateague Island at the Ocean City Inlet tide gage, and precipitation data collected by National Park Service staff on Assateague Island. These data indicate that precipitation events coupled with changes in ambient sea level had the largest effect on groundwater levels in all monitoring wells near the Atlantic Ocean and Chincoteague and Sinepuxent Bays, whereas precipitation events alone had the greatest impact on shallow groundwater levels near the center of the island. Daily and bi-monthly tidal cycles appeared to have minimal influence on groundwater levels throughout the island and the water-level changes that were observed appeared to vary among well sites, indicating that changes in lithology and salinity also may affect the response of water levels in the shallow and deeper groundwater systems throughout the island. Borehole geophysical logs were collected at each of the 13 deeper wells along the 5 transects. Electromagnetic induction logs were collected to identify changes in lithology; determine the approximate location of the freshwater-saltwater interface; and characterize the distribution of fresh and brackish water in the shallow aquifer, and the geometry of the fresh groundwater lens beneath the island. Natural gamma logs were collected to provide information on the geologic framework of the island including the presence and thickness of finer-grained deposits found in the subsurface throughout the island during previous investigations. Results of this investigation show the need for collection of continuous water-level data in both the shallow and deeper parts of the flow system and electromagnetic induction and natural gamma geophysical logging data to better understand the response of this groundwater system to changes in precipitation and tidal forcing. Hydrologic data collected as part of this investigation will serve as the foundation for the development of numerical flow models to assess the potential effects of climate change on the coastal groundwater system of Assateague Island.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125079","collaboration":"USGS Climate and Land Use Change Research and Development Program","usgsCitation":"Banks, W.S., Masterson, J., and Johnson, C.D., 2012, Well network installation and hydrogeologic data collection, Assateague Island National Seashore, Worcester County, Maryland, 2010: U.S. Geological Survey Scientific Investigations Report 2012-5079, v, 20 p., https://doi.org/10.3133/sir20125079.","productDescription":"v, 20 p.","startPage":"i","endPage":"20","numberOfPages":"25","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":256886,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5079.gif"},{"id":256878,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5079/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryl","county":"Worcester County","otherGeospatial":"Assateague Island National Seashore","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcfd9e4b08c986b32eb3d","contributors":{"authors":[{"text":"Banks, William S.L.","contributorId":35281,"corporation":false,"usgs":true,"family":"Banks","given":"William","email":"","middleInitial":"S.L.","affiliations":[],"preferred":false,"id":464015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":464013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":464014,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70038372,"text":"ds643 - 2012 - National wildlife refuge visitor survey 2010/2011: Individual refuge results","interactions":[],"lastModifiedDate":"2012-05-17T01:01:41","indexId":"ds643","displayToPublicDate":"2012-05-16T00:00:00","publicationYear":"2012","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":"643","title":"National wildlife refuge visitor survey 2010/2011: Individual refuge results","docAbstract":"The National Wildlife Refuge System (Refuge System), established in 1903 and managed by the U.S. Fish and Wildlife Service (Service), is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 556 national wildlife refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts more than 45 million visitors annually, including 25 million people per year to observe and photograph wildlife, over 9 million to hunt and fish, and more than 10 million to participate in educational and interpretation programs. Understanding visitors and characterizing their experiences on national wildlife refuges are critical elements of managing these lands and meeting the goals of the Refuge System. The Service collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The survey was conducted to better understand visitor needs and experiences and to design programs and facilities that respond to those needs. The survey results will inform Service performance planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plan (CCPs), Visitor Services, and Transportation Planning processes. This data series consists of 53 separate data files. Each file describes the results of the survey for an individual refuge and contains the following information: * Introduction: An overview of the Refuge System and the goals of the national surveying effort. * Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results. * Refuge Description: A brief description of the refuge location, acreage, purpose, recreational activities, and visitation statistics, including a map (where available) and refuge website link. * Sampling at This Refuge: The sampling periods, locations, and response rate for the refuge. * Selected Survey Results: Key findings for the refuge, including: - Visitor and Trip Characteristics - Visitor Spending in the Local Communities - Visitors Opinions about This Refuge - Visitor Opinions about National Wildlife Refuge System Topics * Conclusion * References * Survey Frequencies (Appendix A): The survey instrument with the frequency results for this refuge. * Visitor Comments (Appendix B): The verbatim responses to the open-ended survey questions for this refuge. Combined results for the 53 participating refuges are available at http://pubs.usgs.gov/ds/685/ as part of USGS Data Series 685.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds643","usgsCitation":"Sexton, N.R., Dietsch, A.M., Don Carlos, A.W., Koontz, L.M., Solomon, A.N., and Miller, H.M., 2012, National wildlife refuge visitor survey 2010/2011: Individual refuge results: U.S. Geological Survey Data Series 643, HTML Document; PDF Downloads of Visitor Survey Results for 53 National Wildlife Refuges, https://doi.org/10.3133/ds643.","productDescription":"HTML Document; PDF Downloads of Visitor Survey Results for 53 National Wildlife Refuges","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-07-01","temporalEnd":"2011-11-30","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":256854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_643.png"},{"id":256851,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/643/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6293e4b0c8380cd71fc2","contributors":{"authors":[{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Don Carlos, Andrew W.","contributorId":89755,"corporation":false,"usgs":true,"family":"Don Carlos","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":464009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, Adam N.","contributorId":18212,"corporation":false,"usgs":true,"family":"Solomon","given":"Adam","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":464004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":464006,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038370,"text":"sir20125064 - 2012 - Use of real-time monitoring to predict concentrations of select constituents in the Menomonee River drainage basin, Southeast Wisconsin, 2008-9","interactions":[],"lastModifiedDate":"2018-02-06T12:28:47","indexId":"sir20125064","displayToPublicDate":"2012-05-15T20:09:00","publicationYear":"2012","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":"2012-5064","title":"Use of real-time monitoring to predict concentrations of select constituents in the Menomonee River drainage basin, Southeast Wisconsin, 2008-9","docAbstract":"

The Menomonee River drainage basin in southeast Wisconsin is undergoing changes that may affect water quality. Several rehabilitation and flood-management projects are underway, including removal of concrete channels and the construction of floodwater retention basins. The city of Waukesha may begin discharging treated wastewater into Underwood Creek, thus approximately doubling the current base-flow discharge. In addition, the headwater basins, historically dominated by agriculture and natural areas, are becoming increasingly urbanized.

\n

In an effort to monitor these and future changes to the basin, the U.S. Geological Survey and the Milwaukee Metropolitan Sewerage District initiated a study in 2008 to develop regression models to estimate real-time concentrations and loads of selected water-quality constituents. Water-quality sensors and automated samplers were installed at five sites in the Menomonee River drainage basin. The sensors continuously measured four explanatory variables: water temperature, specific conductance, dissolved oxygen, and turbidity. Discrete water-quality samples were collected and analyzed for five response variables: chloride, total suspended solids, total phosphorus, Escherichia coli bacteria, and fecal coliform bacteria. Regression models were developed to continuously estimate the response variables on the basis of the explanatory variables.

\n

The models to estimate chloride concentrations all used specific conductance as the explanatory variable, except for the model for the Little Menomonee River near Freistadt, which used both specific conductance and turbidity as explanatory variables. Adjusted R2 values for the chloride models ranged from 0.74 to 0.97. Models to estimate total suspended solids and total phosphorus used turbidity as the only explanatory variable. Adjusted R2 values ranged from 0.77 to 0.94 for the total suspended solids models and from 0.55 to 0.75 for the total phosphorus models. Models to estimate indicator bacteria used water temperature and turbidity as the explanatory variables, with adjusted R2 values from 0.54 to 0.69 for Escherichia coli bacteria models and from 0.54 to 0.74 for fecal coliform bacteria models. Dissolved oxygen was not used in any of the final models. These models may help managers measure the effects of land-use changes and improvement projects, establish total maximum daily loads, estimate important water-quality indicators such as bacteria concentrations, and enable informed decision making in the future.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125064","collaboration":"Prepared in cooperation with the Milwaukee Metropolitan Sewerage District","usgsCitation":"Baldwin, A.K., Graczyk, D., Robertson, D.M., Saad, D.A., and Magruder, C., 2012, Use of real-time monitoring to predict concentrations of select constituents in the Menomonee River drainage basin, Southeast Wisconsin, 2008-9: U.S. Geological Survey Scientific Investigations Report 2012-5064, viii, 18 p.; Appendices Downloads, https://doi.org/10.3133/sir20125064.","productDescription":"viii, 18 p.; Appendices Downloads","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":256852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5064.jpg"},{"id":256849,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5064/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Menomonee River Drainage Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.11666666666666,42.8 ], [ -88.11666666666666,43.333333333333336 ], [ -87.7,43.333333333333336 ], [ -87.7,42.8 ], [ -88.11666666666666,42.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbf68e4b08c986b329b3d","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graczyk, David J.","contributorId":107265,"corporation":false,"usgs":true,"family":"Graczyk","given":"David J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":463997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magruder, Christopher","contributorId":35995,"corporation":false,"usgs":true,"family":"Magruder","given":"Christopher","affiliations":[],"preferred":false,"id":463996,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70038369,"text":"ds685 - 2012 - National wildlife refuge visitor survey results: 2010/2011","interactions":[],"lastModifiedDate":"2012-10-22T17:16:26","indexId":"ds685","displayToPublicDate":"2012-05-15T00:00:00","publicationYear":"2012","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":"685","title":"National wildlife refuge visitor survey results: 2010/2011","docAbstract":"The U.S. Fish and Wildlife Service (Service) collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The survey was conducted to better understand visitor needs and experiences and to design programs and facilities that respond to those needs. The survey results will inform Service performance planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plan (CCPs), Visitor Services, and Transportation Planning processes. The survey was conducted on 53 refuges across the National Wildlife Refuge System (Refuge System) to better understand visitor needs and experiences and to design programs and facilities that respond to those needs. A total of 14,832 visitors agreed to participate in the survey between July 2010 and November 2011. In all, 10,233 visitors completed the survey for a 71% response rate. This report provides a summary of visitor and trip characteristics; visitor opinions about refuges and their offerings; and visitor opinions about alternative transportation and climate change, two Refuge System topics of interest. The Refuge System, established in 1903 and managed by the Service, is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 556 National Wildlife Refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts more than 45 million visitors annually, including 25 million people per year to observe and photograph wildlife, over 9 million to hunt and fish, and more than 10 million to participate in educational and interpretation programs. Understanding visitors and characterizing their experiences on national wildlife refuges are critical elements of managing these lands and meeting the goals of the Refuge System. These combined results are based on surveying at 53 participating refuges during 2010/2011 and contain the following information: * Synopsis: Brief summary of the survey results. * Introduction: An overview of the Refuge System and the goals of the national surveying effort. * Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results. * Survey Results: Key findings from the survey, including: - Visitor and trip characteristics - Visitors opinions about refuges - Visitor opinions about alternative transportation - Visitor opinions about climate change * Conclusion * References Individual results for each of the 53 participating refuges are available at http://pubs.usgs.gov/ds/643/ as part of USGS Data Series 643.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds685","usgsCitation":"Sexton, N.R., Dietsch, A.M., Don Carolos, A.W., Miller, H.M., Koontz, L.M., and Solomon, A.N., 2012, National wildlife refuge visitor survey results: 2010/2011: U.S. Geological Survey Data Series 685, iv, 22 p., https://doi.org/10.3133/ds685.","productDescription":"iv, 22 p.","startPage":"i","endPage":"22","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":256848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_685.png"},{"id":256847,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/685/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6294e4b0c8380cd71fc8","contributors":{"authors":[{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Don Carolos, Andrew W.","contributorId":9099,"corporation":false,"usgs":true,"family":"Don Carolos","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":463987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":463990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, Adam N.","contributorId":18212,"corporation":false,"usgs":true,"family":"Solomon","given":"Adam","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":463988,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038364,"text":"sir20115228 - 2012 - Evaluation of geophysical techniques for the detection of paleochannels in the Oakland area of eastern Nebraska as part of the Eastern Nebraska Water Resource Assessment","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"sir20115228","displayToPublicDate":"2012-05-14T15:35:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5228","title":"Evaluation of geophysical techniques for the detection of paleochannels in the Oakland area of eastern Nebraska as part of the Eastern Nebraska Water Resource Assessment","docAbstract":"

Over the winter and spring of 2009, the U.S. Geological Survey conducted a general assessment of the capabilities of several geophysical tools to delineate buried paleochannel aquifers in the glacial terrain of eastern Nebraska. Mapping these paleochannels is an important objective for the Eastern Nebraska Water Resources Assessment group. Previous attempts at mapping these channels included a helicopter electromagnetic survey flown over an area near the town of Oakland, Nebraska, in March 2007. This survey had limited success in imaging the paleochannels due to the restricted depth of investigation of the system in the clay-rich till overburden. The purpose of this study was to investigate whether other airborne electromagnetic or surface geophysical techniques, including audio-magnetotelluric, time-domain electromagnetic, gravity, and magnetic methods, could be used to image the paleochannels in the clay-rich tills of eastern Nebraska. This report releases the results of testing the ability of selected geophysical techniques to map aquifers in glacial deposits near the town of Oakland, Nebraska.

\n

Surface audio-magnetotelluric and time-domain electromagnetic methods achieved sufficient depth of penetration and indicated that the paleochannel was much more complex than the original geological model. Simulated and observed gravity anomalies indicate that imaging sand and gravel aquifers near Oakland, Nebraska, would be difficult due to the complex basement density contrasts. Interpretation of the magnetic data indicates no magnetic sources from geologic units above the bedrock surface. Based upon the analysis and interpretation of the four methods evaluated, we suggest a large-scale survey using a high-powered time-domain airborne system. This is the most efficient and cost-effective path forward for the Eastern Nebraska Water Assessment group to map paleochannels that lie beneath thick clay-rich glacial tills.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115228","collaboration":"Prepared in cooperation with the Eastern Nebraska Water Resource Assessment","usgsCitation":"Abraham, J., Bedrosian, P.A., Asch, T., Ball, L.B., Cannia, J.C., Phillips, J.D., and Lackey, S., 2012, Evaluation of geophysical techniques for the detection of paleochannels in the Oakland area of eastern Nebraska as part of the Eastern Nebraska Water Resource Assessment: U.S. Geological Survey Scientific Investigations Report 2011-5228, viii, 40 p., https://doi.org/10.3133/sir20115228.","productDescription":"viii, 40 p.","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":254769,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5228.gif"},{"id":254766,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5228/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","city":"Oakland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,40 ], [ -98,43 ], [ -95,43 ], [ -95,40 ], [ -98,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c7de4b0c8380cd52b86","contributors":{"authors":[{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":463971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":463969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":463974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":463970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":463975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Jeffery D.","contributorId":63489,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":463973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lackey, Susan","contributorId":44397,"corporation":false,"usgs":true,"family":"Lackey","given":"Susan","email":"","affiliations":[],"preferred":false,"id":463972,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70038363,"text":"sir20115229 - 2012 - Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States","interactions":[],"lastModifiedDate":"2012-05-15T01:01:40","indexId":"sir20115229","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5229","title":"Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States","docAbstract":"This report provides a regional assessment of groundwater quality of the Cambrian-Ordovician aquifer system, based primarily on raw water samples collected by the NAWQA Program during 1995 through 2007. The NAWQA Program has published findings in local study-unit reports encompassing parts of the Cambrian-Ordovician aquifer system. Data collected from the aquifer system were used in national synthesis reports on selected topics such as specific water-quality constituent classes, well type, or aquifer material; however, a synthesis of groundwater quality at the principal aquifer scale has not been completed and is therefore the major purpose of this report. Water samples collected by the NAWQA Program were analyzed for various classes of characteristics including physical properties, major ions, trace elements, nutrients and dissolved organic carbon, radionuclides (tritium, radon, and radium), pesticides, and volatile organic compounds. Subsequent sections of this report provide discussions on these classes of characteristics. The assessment objectives of this report are to (1) summarize constituent concentrations and compare them to human-health benchmarks and non-health guidelines; (2) determine the geographic distribution of constituent concentrations and relate them to various factors such as confining conditions, well type, land use, and groundwater age; and (3) evaluate near-decadal-scale changes in nitrate concentrations and pesticide detections. The most recent sample collected from each well by the NAWQA Program was used for most analyses. Near-decadal-scale changes in nitrate concentrations and pesticide detections were evaluated for selected well networks by using the most recent sample from each well and comparing it to the results from a sample collected 7 or 11 years earlier. Because some of the NAWQA well networks provide a limited areal coverage of the aquifer system, data for raw water samples from other USGS sources and state agencies were included to expand the data coverage into areas between the NAWQA well networks and into northeastern Missouri. Many of the maps in this report that show concentrations of selected constituents include data from other sources to expand on the geographic area covered by the NAWQA data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115229","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Wilson, J.T., 2012, Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States: U.S. Geological Survey Scientific Investigations Report 2011-5229, xvi, 129 p.; Appendices; Maps ; PDF Download of Appendix 1; PDF Download of Appendix 3, https://doi.org/10.3133/sir20115229.","productDescription":"xvi, 129 p.; Appendices; Maps ; PDF Download of Appendix 1; PDF Download of Appendix 3","startPage":"i","endPage":"154","numberOfPages":"170","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":254770,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5229.gif"},{"id":254764,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5229/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Midwest;Cambrian-ordovician Aquifer System","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcdafe4b08c986b32e0a6","contributors":{"authors":[{"text":"Wilson, John T. 0000-0001-6752-4069 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-6752-4069","contributorId":1954,"corporation":false,"usgs":true,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"T.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":463968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038362,"text":"ofr20121084 - 2012 - National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-07-05T10:51:06","indexId":"ofr20121084","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"2012-1084","title":"National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico","docAbstract":"Sandy beaches provide a natural barrier between the ocean and inland communities, ecosystems, and resources. However, these dynamic environments move and change in response to winds, waves, and currents. During a hurricane, these changes can be large and sometimes catastrophic. High waves and storm surge act together to erode beaches and inundate low-lying lands, putting inland communities at risk. A decade of USGS research on storm-driven coastal change hazards has provided the data and modeling capabilities to identify areas of our coastline that are likely to experience extreme and potentially hazardous erosion during a hurricane. This report defines hurricane-induced coastal erosion hazards for sandy beaches along the U.S. Gulf of Mexico coastline. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121084","usgsCitation":"Stockdon, H.F., Doran, K., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A., 2012, National assessment of hurricane-induced coastal erosion hazards--Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, vii, 49 p.; Tables; Spatial Datasets; Metadata, https://doi.org/10.3133/ofr20121084.","productDescription":"vii, 49 p.; Tables; Spatial Datasets; Metadata","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438815,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N01XLQ","text":"USGS data release","linkHelpText":"National Assessment of Hurricane-Induced Coastal Erosion Hazards: Puerto Rico"},{"id":438814,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99ILAB9","text":"USGS data release","linkHelpText":"National Assessment of Hurricane-Induced Coastal Erosion Hazards"},{"id":438813,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GF0S0Z","text":"USGS data release","linkHelpText":"Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines"},{"id":343302,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1084/pdf/ofr2012-1084.pdf","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":254768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1084.jpg"},{"id":254763,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1084/","linkFileType":{"id":5,"text":"html"}},{"id":343303,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://olga.er.usgs.gov/data/NACCH/GOM_erosion_hazards.zip","text":"Gulf of Mexico Coastal Erosion Hazards Dataset","size":"325 KB","linkFileType":{"id":6,"text":"zip"}},{"id":343304,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7QC01KZ","text":"National Assessment of Hurricane-Induced Coastal Erosion Hazards: Gulf of Mexico Update"}],"otherGeospatial":"Gulf Of Mexico","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a625de4b0c8380cd71e98","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":463962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":463963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":463966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":463965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sallenger, Asbury H. Jr.","contributorId":27458,"corporation":false,"usgs":true,"family":"Sallenger","given":"Asbury H.","suffix":"Jr.","affiliations":[],"preferred":false,"id":463967,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038360,"text":"sir20125032 - 2012 - Microbial mineralization of cis-dichloroethene and vinyl chloride as a component of natural attenuation of chloroethene contaminants under conditions identified in the field as anoxic","interactions":[],"lastModifiedDate":"2017-01-17T17:35:11","indexId":"sir20125032","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","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":"2012-5032","title":"Microbial mineralization of cis-dichloroethene and vinyl chloride as a component of natural attenuation of chloroethene contaminants under conditions identified in the field as anoxic","docAbstract":"Chlororespiration is a key component of remediation at many chloroethene-contaminated sites. In some instances, limited accumulation of reductive dechlorination daughter products may suggest that natural attenuation is not adequate for site remediation. This conclusion is justified when evidence for parent compound (tetrachloroethene, PCE, or trichloroethene, TCE) degradation is lacking. For many chloroethene-contaminated shallow aquifer systems, however, non-conservative losses of the parent compounds are clear but the mass balance between parent compound attenuation and accumulation of reductive dechlorination daughter products is incomplete. Incomplete mass balance indicates a failure to account for important contaminant attenuation mechanisms, and is consistent with contaminant degradation to non-diagnostic mineralization products. An ongoing technical debate over the potential for mineralization of dichloroethene (DCE) and vinyl chloride (VC) to CO2 in the complete absence of diatomic oxygen has largely obscured the importance of microbial DCE/VC mineralization at dissolved oxygen (DO) concentrations below the current field standard (DO < 0.1-0.5 milligrams per liter) for nominally anoxic conditions. This study demonstrates that oxygen-based microbial mineralization of DCE and VC can be substantial under field conditions that are frequently characterized as \"anoxic.\" Because mischaracterization of operant contaminant biodegradation processes can lead to expensive and ineffective remedial actions, a modified framework for assessing the potential importance of oxygen during chloroethene biodegradation was developed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125032","collaboration":"Prepared in cooperation with the Strategic Environmental Research and Development Program","usgsCitation":"Bradley, P.M., 2012, Microbial mineralization of cis-dichloroethene and vinyl chloride as a component of natural attenuation of chloroethene contaminants under conditions identified in the field as anoxic: U.S. Geological Survey Scientific Investigations Report 2012-5032, vi, 30 p., https://doi.org/10.3133/sir20125032.","productDescription":"vi, 30 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":254767,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5032.jpg"},{"id":254762,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5032/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5654e4b0c8380cd6d4f6","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463961,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70007255,"text":"70007255 - 2012 - Limitations and potential of satellite imagery to monitor environmental response to coastal flooding","interactions":[],"lastModifiedDate":"2017-04-06T14:37:14","indexId":"70007255","displayToPublicDate":"2012-05-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Limitations and potential of satellite imagery to monitor environmental response to coastal flooding","docAbstract":"Storm-surge flooding and marsh response throughout the coastal wetlands of Louisiana were mapped using several types of remote sensing data collected before and after Hurricanes Gustav and Ike in 2008. These included synthetic aperture radar (SAR) data obtained from the (1) C-band advance SAR (ASAR) aboard the Environmental Satellite, (2) phased-array type L-band SAR (PALSAR) aboard the Advanced Land Observing Satellite, and (3) optical data obtained from Thematic Mapper (TM) sensor aboard the Land Satellite (Landsat). In estuarine marshes, L-band SAR and C-band ASAR provided accurate flood extent information when depths averaged at least 80 cm, but only L-band SAR provided consistent subcanopy detection when depths averaged 50 cm or less. Low performance of inundation mapping based on C-band ASAR was attributed to an apparent inundation detection limit (>30 cm deep) in tall Spartina alterniflora marshes, a possible canopy collapse of shoreline fresh marsh exposed to repeated storm-surge inundations, wind-roughened water surfaces where water levels reached marsh canopy heights, and relatively high backscatter in the near-range portion of the SAR imagery. A TM-based vegetation index of live biomass indicated that the severity of marsh dieback was linked to differences in dominant species. The severest impacts were not necessarily caused by longer inundation but rather could be caused by repeated exposure of the palustrine marsh to elevated salinity floodwaters. Differential impacts occurred in estuarine marshes. The more brackish marshes on average suffered higher impacts than the more saline marshes, particularly the nearshore coastal marshes occupied by S. alterniflora.","language":"English","publisher":"Coastal Education and Research Foundation","publisherLocation":"West Palm Beach, FL","doi":"10.2112/JCOASTRES-D-11-00052.1","usgsCitation":"Ramsey, E., Werle, D., Suzuoki, Y., Rangoonwala, A., and Lu, Z., 2012, Limitations and potential of satellite imagery to monitor environmental response to coastal flooding: Journal of Coastal Research, v. 28, no. 2, p. 457-476, https://doi.org/10.2112/JCOASTRES-D-11-00052.1.","productDescription":"20 p.","startPage":"457","endPage":"476","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":254772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254765,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-11-00052.1","linkFileType":{"id":5,"text":"html"}}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4788e4b0c8380cd678b3","contributors":{"authors":[{"text":"Ramsey, Elijah W. 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