This is the forty-seventh in a series of annual reports that describe groundwater conditions in Utah. Reports in this series, published cooperatively by the U.S. Geological Survey and the Utah Department of Natural Resources, Division of Water Resources and Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality, provide data to enable interested parties to maintain awareness of changing groundwater conditions.
This report, like the others in the series, contains information on well construction, groundwater withdrawal from wells, water-level changes, precipitation, streamflow, and chemical quality of water. Information on well construction included in this report refers only to wells constructed for new appropriations of groundwater. Supplementary data are included in reports of this series only for those years or areas which are important to a discussion of changing groundwater conditions and for which applicable data are available.
This report includes individual discussions of selected significant areas of groundwater development in the State for calendar year 2009. Most of the reported data were collected by the U.S. Geological Survey in cooperation with the Utah Department of Natural Resources, Division of Water Resources and Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality. This report is also available online at http://www. waterrights.utah.gov/techinfo/ and http://ut.water.usgs.gov/ publications/GW2010.pdf. Groundwater conditions in Utah for calendar year 2008 are reported in Burden and others (2009) and available online at http://ut.water.usgs.gov/publications/ GW2009.pdf.
Analytical results associated with water samples collected from each area of groundwater development were compared to State of Utah maximum contaminant levels (MCLs) and secondary drinking-water standards of routinely measureable substances present in water supplies. The MCLs and secondary drinking-water standards can be accessed online at http://www.rules.utah.gov/publicat/code/r309/r309-200. htm#T5. The U.S. Environmental Protection Agency (EPA) drinking-water standards can be accessed at http://www.epa. gov/safewater/mcl.html#mcls. Maximum contaminant levels and secondary drinking-water standards were developed for public water systems and do not apply to the majority of wells sampled during this study.
Every 5 years, this report series includes maps depicting comparisons of 30-year changes in water levels for each of the major areas of groundwater development. The water-level change maps in this report show the difference between water levels measured in 1980 and in 2010. Water-level rises or declines occurring on shorter time scales are shown in plots of annual water-level measurements for several wells in each of the major areas of groundwater development.
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to relatively rapid subsurface transport. Springs, points where the landscape and water table intersect and cold groundwater discharges, link aquifer systems with land surfaces and water bodies. As such, in many regions, they are critical to the viability of lakes, streams and cold-water fish communities. An understanding of where springs are located is important to watershed, fishery and environmental management efforts in karst regions. To better understand spatial distribution of springs and as a potential method for identifying variables that characterize locations of springs for improved land and watershed management, a nearest-neighbor analysis and a discriminant function analysis (DFA) of springs were conducted in Winona County, Minnesota, USA, a karst landscape. Nearest-neighbor analysis examined the spatial spring distribution. Twenty-two variables describing the locations of springs were analyzed to ascertain their ability to discriminate correct aquifer unit or bedrock unit classification for each spring. Springs were clumped with the highest densities in the lowest elevations. Springs were correctly assigned to aquifer units and bedrock units with eight and 11 landscape variables, respectively. Forest land cover was the only land cover type contributing to spring discrimination. Consideration of upland human activities, particularly in forested areas, on spring discharge along with a better understanding of characteristics describing spring locations could lead to better management activities that locate and protect springs and their important contributions to regional ecohydrology.
","language":"English","publisher":"SpringerLink","doi":"10.1007/s13146-010-0037-y","usgsCitation":"Williams, M.A., and Vondracek, B.C., 2010, Spring distribution in Winona County, Minnesota, USA and the relationship with geologic strata in a karst landscape: Carbonates and Evaporites, v. 25, no. 4, p. 333-347, https://doi.org/10.1007/s13146-010-0037-y.","productDescription":"13 p.","startPage":"333","endPage":"347","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017698","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":475453,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11299/183651","text":"External Repository"},{"id":323896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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PSC"},"noUsgsAuthors":false,"publicationDate":"2010-11-25","publicationStatus":"PW","scienceBaseUri":"57651f3be4b07657d19c792f","contributors":{"authors":[{"text":"Williams, Mary A.","contributorId":172094,"corporation":false,"usgs":false,"family":"Williams","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173486,"text":"70173486 - 2010 - The Index of Biological Integrity and the bootstrap revisited: an example from Minnesota streams","interactions":[],"lastModifiedDate":"2016-06-17T12:54:13","indexId":"70173486","displayToPublicDate":"2016-01-12T10:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"The Index of Biological Integrity and the bootstrap revisited: an example from Minnesota streams","docAbstract":"Multimetric indices, such as the Index of Biological Integrity (IBI), are increasingly used by management agencies to determine whether surface water quality is impaired. However, important questions about the variability of these indices have not been thoroughly addressed in the scientific literature. In this study, we used a bootstrap approach to quantify variability associated with fish IBIs developed for streams in two Minnesota river basins. We further placed this variability into a management context by comparing it to impairment thresholds currently used in water quality determinations for Minnesota streams. We found that 95% confidence intervals ranged as high as 40 points for IBIs scored on a 0–100 point scale. However, on average, 90% of IBI scores calculated from bootstrap replicate samples for a given stream site yielded the same impairment status as the original IBI score. We suggest that sampling variability in IBI scores is related to both the number of fish and the number of rare taxa in a field collection. A comparison of the effects of different scoring methods on IBI variability indicates that a continuous scoring method may reduce the amount of bias in IBI scores.
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","language":"English","publisher":"University of Hawai‘i Sea Grant College Program","publisherLocation":"Hawaii","usgsCitation":"Fletcher, C., and Richmond, B.M., 2010, Climate change in the federated states of Micronesia: Food and water security, climate risk management, and adaptive strategies, 32 p.","productDescription":"32 p.","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016670","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310893,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://repository.library.noaa.gov/view/noaa/39949"},{"id":310894,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Federated States of Micronesia","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5638974de4b0d6133fe72fa7","contributors":{"authors":[{"text":"Fletcher, Charles H.","contributorId":30286,"corporation":false,"usgs":true,"family":"Fletcher","given":"Charles H.","affiliations":[],"preferred":false,"id":578977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578978,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041702,"text":"70041702 - 2010 - The 7Q10 in South Carolina water-quality regulation: Nearly fifty years later","interactions":[],"lastModifiedDate":"2016-11-30T12:13:08","indexId":"70041702","displayToPublicDate":"2015-06-09T09:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The 7Q10 in South Carolina water-quality regulation: Nearly fifty years later","docAbstract":"The annual minimum 7-day average streamflow with a 10-year recurrence interval, often referred to as the 7Q10, has a long history of being an important low-flow statistic used in water-quality management in South Carolina as evidenced by its adoption into South Carolina law in 1967. State agencies, such as the South Carolina Department of Health and Environmental Control and the South Carolina Department of Natural Resources, use such lowflow statistics to determine Wasteload Allocations for National Pollutant Discharge Elimination System discharges, develop Total Maximum Daily Loads for streams, prepare the State Water Plan, and restrict the quantity of water that can be transferred out of basin. The U.S. Geological Survey, working cooperatively with the South Carolina Department of Health and Environmental Control, is updating low-flow statistics at continuous-record streamflow gages in South Carolina on a basin-by-basin approach. Such statistics are influenced by length of record and hydrologic conditions under which the record was collected. Statewide low-flow statistics in South Carolina were last updated in 1987. Since that time several droughts have occurred with the most severe occurring from 1998-2002 and the most recent occurring from 2006-2009. The low-flow statistics for the Pee Dee River basin were the first to be completed in this ongoing investigation.
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Carolina\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334343e4b048076347eee9","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":578729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cantrell, Wade M.","contributorId":149534,"corporation":false,"usgs":false,"family":"Cantrell","given":"Wade","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":578730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038618,"text":"70038618 - 2010 - Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network","interactions":[],"lastModifiedDate":"2015-10-29T12:33:43","indexId":"70038618","displayToPublicDate":"2015-06-08T08:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network","docAbstract":"The Everglades Depth Estimation Network (EDEN) is an integrated network of real-time water-level gaging stations, ground-elevation models, and watersurface models designed to provide scientists, engineers, and water-resource managers with current (2000-present) water-depth information for the entire freshwater portion of the greater Everglades. The generation of EDEN waterlevel surfaces is derived from real-time data. Real-time data are automatically checked for outliers using minimum, maximum, and rate-of-change thresholds for each station. Smaller errors in the real-time data, such as gradual drift of malfunctioning pressure transducers, are more difficult to immediately identify with visual inspection of time-series plots and may only be identified during on-site inspections of the gages. Correcting smaller errors in the data often is time consuming and water-level data may not be finalized for several months. To provide water-level surfaces on a daily basis, EDEN needed an automated process to identify errors in water-level data and to provide estimates for missing or erroneous waterlevel data.
\nA technology often used for industrial applications is “inferential sensor.” Rather than installing a redundant sensor to measure a process, such as an additional waterlevel gage, an inferential sensor, or virtual sensor, is developed that estimates the processes measured by the physical sensor. The advantage of an inferential sensor is that it provides a redundant signal to the sensor in the field but without exposure to environmental threats. In the event that a gage does malfunction, the inferential sensor provides an estimate for the period of missing data. The inferential sensor also can be used in the quality assurance and quality control of the data. Inferential sensors for gages in the EDEN network are currently (2010) under development. The inferential sensors will be automated so that the real-time EDEN data will continuously be compared to the inferential sensor signal and digital reports of the status of the real-time data will be sent periodically to the appropriate support personnel. The development and application of inferential sensors is easily transferable to other real-time hydrologic monitoring networks.
","conferenceTitle":"Proceedings of the 2010 South Carolina Water Resources Conference","conferenceDate":"October 13-14, 2010","conferenceLocation":"Columbia, South Carolina","language":"English","usgsCitation":"Daamen, R.C., Edwin A. Roehl, J., and Conrads, P., 2010, Development of inferential sensors for real-time quality control of water-level data for the Everglades Depth Estimation Network, Proceedings of the 2010 South Carolina Water Resources Conference, Columbia, South Carolina, October 13-14, 2010, 4 p.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022769","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":310764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.84814453125,\n 24.958670130576788\n ],\n [\n -81.84814453125,\n 26.56396337134019\n ],\n [\n -80.19195556640625,\n 26.56396337134019\n ],\n [\n -80.19195556640625,\n 24.958670130576788\n ],\n [\n -81.84814453125,\n 24.958670130576788\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334337e4b048076347eebd","contributors":{"authors":[{"text":"Daamen, Ruby C.","contributorId":105391,"corporation":false,"usgs":true,"family":"Daamen","given":"Ruby","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":578705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwin A. Roehl, Jr.","contributorId":121477,"corporation":false,"usgs":true,"family":"Edwin A. Roehl","given":"Jr.","affiliations":[],"preferred":false,"id":578706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":578707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003354,"text":"70003354 - 2010 - Flightless and post-molt survival and movements of female mallards molting in Klamath Basin","interactions":[],"lastModifiedDate":"2017-06-30T15:29:19","indexId":"70003354","displayToPublicDate":"2015-04-20T04:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Flightless and post-molt survival and movements of female mallards molting in Klamath Basin","docAbstract":"Flightless and post-molt survival and movements were studied during August-May, 2001-2002, 2002- 2003 and 2006-2007 for 181 adult female Mallards (Anas platyrhynchos). Birds were radiotagged just before or early in their flightless period on four wetlands that differed in size on Klamath Basin (KB) National Wildlife Refuge complex. Flightless survival varied among years but was higher on two larger than two smaller wetlands; 30-day survival ranged from 11% (SE = 6.5%) on a small wetland in 2006 to 93% (SE = 6.5%) on a large wetland in 2001, and averaged 76.8% (SE = 6.1%). Most flightless mortality was from avian botulism (64%) and predation (26%). Of the 81 radiotagged Mallards that did not die in KB, 80% moved to the Central Valley of California (CVCA) before 31 January, 16% wintered in unknown areas, and 4% remained in KB through 31 January. Mallards departed KB 21 August-13 January (average: 11 Nov 2001, 25 Oct 2002, 19 Nov 2006). Post-molt survival during August-March in KB (20.7%, SE = 6.3%) was lower than in CVCA during this (62.9%, SE = 10.1%) and an earlier study. Survival in KB was consistently high only for females that molted in large permanent marshes, and although the impact of poor survival of molting females on Mallard population dynamics is unknown, KB water management plans should be developed that maintain these habitats.
","language":"English","publisher":"The Waterbird Society","publisherLocation":"Waco, TX","doi":"10.1675/063.033.0209","usgsCitation":"Fleskes, J.P., Mauser, D.M., Yee, J.L., Blehert, D., and Yarris, G., 2010, Flightless and post-molt survival and movements of female mallards molting in Klamath Basin: Waterbirds, v. 33, no. 2, p. 208-220, https://doi.org/10.1675/063.033.0209.","productDescription":"13 p.","startPage":"208","endPage":"220","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2001-08-01","temporalEnd":"2007-05-31","ipdsId":"IP-009111","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":299795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath Basin (KB) National Wildlife Refuge 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Washington","interactions":[],"lastModifiedDate":"2022-11-14T16:25:22.816003","indexId":"70041555","displayToPublicDate":"2014-07-21T01:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Seasonal and decadal-scale channel evolution on the dammed Elwha River, Washington","docAbstract":"More than 75,000 dams exist in the continental United States to provide water storage, flood control, and hydropower generation (Graf, 1999). 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Created under the auspices of the Advisory Committee on Water Information’s Subcommittee on Sedimenta ion by the U.S. Geological Survey and the Natural Resources Conservation Service, the RESSED database is the most comprehensive compilation of data from reservoir bathymetric and dry-basin surveys in the United States. As of March 2010, the database, which contains data compiled on the 1950s vintage Soil Conservation Service’s Form SCS-34 data sheets, contained results from 6,616 surveys on 1,823 reservoirs in the United States and two surveys on one reservoir in Puerto Rico. The data span the period 1755–1997, with 95 percent of the surveys performed from 1930–1990. The reservoir surface areas range from sub-hectare-scale farm ponds to 658 km2 Lake Powell. The data in the RESSED database can be useful for a number of purposes, including calculating changes in reservoir-storage characteristics, quantifying sediment budgets, and estimating erosion rates in a reservoir’s watershed.
The March 2010 version of the RESSED database has a number of deficiencies, including a cryptic and out-of-date database architecture; some geospatial inaccuracies (although most have been corrected); other data errors; an inability to store all data in a readily retrievable manner; and an inability to store all data types that currently exist. Perhaps most importantly, the March 2010 version of RESSED database provides no publicly available means to submit new data and corrections to existing data. To address these and other deficiencies, the Subcommittee on Sedimentation, through the U.S. Geological Survey and the U.S. Army Corps of Engineers, began a collaborative project in November 2009 to modernize the RESSED database architecture; provide public online input capability; and produce online reports. The ultimate goal of the Subcommittee on Sedimentation is to build a comprehensive, quality-assured database describing capacity changes over time for the largest suite of the Nation’s reservoirs.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues: Las Vegas, NV, June 27-July 1, 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues","conferenceDate":"June 27-July 1, 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Gray, J.R., Bernard, J., Stewart, D.W., McFaul, E., Laurent, K., Schwarz, G., Stinson, J., Jonas, M., Randle, T., and Webb, J., 2010, Development of a national, dynamic reservoir-sedimentation database, in Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues: Las Vegas, NV, June 27-July 1, 2010, Las Vegas, Nevada, June 27-July 1, 2010, 12 p.","productDescription":"12 p.","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":292330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292327,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"},{"id":294561,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/Contents/7C_Gray_ressed_3_4_2010_paper.pdf"}],"country":"United States;Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ef1ec6e4b0bfa1f993ef07","contributors":{"authors":[{"text":"Gray, J. R.","contributorId":63372,"corporation":false,"usgs":true,"family":"Gray","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":498419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernard, J.M.","contributorId":43999,"corporation":false,"usgs":true,"family":"Bernard","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":498416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, D. W.","contributorId":86194,"corporation":false,"usgs":true,"family":"Stewart","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":498420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McFaul, E.J.","contributorId":8465,"corporation":false,"usgs":true,"family":"McFaul","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":498411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laurent, K.W.","contributorId":55351,"corporation":false,"usgs":true,"family":"Laurent","given":"K.W.","affiliations":[],"preferred":false,"id":498417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwarz, G. E. 0000-0002-9239-4566","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":14852,"corporation":false,"usgs":true,"family":"Schwarz","given":"G. E.","affiliations":[],"preferred":false,"id":498412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stinson, J.T.","contributorId":22700,"corporation":false,"usgs":true,"family":"Stinson","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":498413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jonas, M.M.","contributorId":42143,"corporation":false,"usgs":true,"family":"Jonas","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":498415,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Randle, T. J.","contributorId":59074,"corporation":false,"usgs":true,"family":"Randle","given":"T. J.","affiliations":[],"preferred":false,"id":498418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Webb, J.W.","contributorId":40134,"corporation":false,"usgs":true,"family":"Webb","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":498414,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70120689,"text":"70120689 - 2010 - Computing time-series suspended-sediment concentrations and loads from in-stream turbidity-sensor and streamflow data","interactions":[],"lastModifiedDate":"2014-08-15T14:14:44","indexId":"70120689","displayToPublicDate":"2013-08-15T14:07:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Computing time-series suspended-sediment concentrations and loads from in-stream turbidity-sensor and streamflow data","docAbstract":"Over the last decade, use of a method for computing suspended-sediment concentration and loads using turbidity sensors—primarily nephelometry, but also optical backscatter—has proliferated. Because an in- itu turbidity sensor is capa le of measuring turbidity instantaneously, a turbidity time series can be recorded and related directly to time-varying suspended-sediment concentrations. Depending on the suspended-sediment characteristics of the measurement site, this method can be more reliable and, in many cases, a more accurate means for computing suspended-sediment concentrations and loads than traditional U.S. Geological Survey computational methods.
Guidelines and procedures for estimating time s ries of suspended-sediment concentration and loading as a function of turbidity and streamflow data have been published in a U.S. Geological Survey Techniques and Methods Report, Book 3, Chapter C4. This paper is a summary of these guidelines and discusses some of the concepts, s atistical procedures, and techniques used to maintain a multiyear suspended sediment time series.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues: Las Vegas, NV, June 27-July 1, 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Rasmussen, P.P., Gray, J.R., Glysson, G.D., and Ziegler, A., 2010, Computing time-series suspended-sediment concentrations and loads from in-stream turbidity-sensor and streamflow data, in Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and Sedimentation for a Changing Future: Existing and Emerging Issues: Las Vegas, NV, June 27-July 1, 2010, 14 p.","productDescription":"14 p.","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":292317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292315,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"},{"id":292316,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/Contents/8B_Rasmussen_03_01_10_paper.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ef1ec4e4b0bfa1f993eef6","contributors":{"authors":[{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":498387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":498386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glysson, G. Doug","contributorId":10340,"corporation":false,"usgs":true,"family":"Glysson","given":"G.","email":"","middleInitial":"Doug","affiliations":[],"preferred":false,"id":498388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":498385,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043154,"text":"70043154 - 2010 - HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region","interactions":[],"lastModifiedDate":"2021-01-22T16:06:01.267169","indexId":"70043154","displayToPublicDate":"2013-05-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2790,"text":"Mountain Research and Development","active":true,"publicationSubtype":{"id":10}},"title":"HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region","docAbstract":"Glaciers are the largest reservoir of freshwater on Earth, supporting one third of the world's population. The Himalaya possess one of the largest resources of snow and ice, which act as a freshwater reservoir for more than 1.3 billion people. This article describes a new project called HIMALA, which focuses on utilizing satellite-based products for better understanding of hydrological processes of the river basins of the region. With support from the US Agency for International Development (USAID), the International Centre for Integrated Mountain Development (ICIMOD), together with its partners and member countries, has been working on the application of satellite-based rainfall estimates for flood prediction. The US National Aeronautics and Space Administration (NASA) partners are working with ICIMOD to incorporate snowmelt and glacier melt into a widely used hydrological model. Thus, through improved modeling of the contribution of snow and ice meltwater to river flow in the region, the HIMALA project will improve the ability of ICIMOD and its partners to understand the impact of weather and climate on floods, droughts, and other water- and climate-induced natural hazards in the Himalayan region in Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal, and Pakistan.","language":"English","publisher":"International Mountain Society","publisherLocation":"Bern, Switzerland","doi":"10.1659/MRD-JOURNAL-D-10-00071.1","usgsCitation":"Brown, M.E., Ouyang, H., Habib, S., Shrestha, B., Shrestha, M., Panday, P., Tzortziou, M., Policelli, F., Artan, G.A., Giriraj, A., Bajracharya, S.R., and Racoviteanu, A., 2010, HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region: Mountain Research and Development, v. 30, no. 4, p. 401-404, https://doi.org/10.1659/MRD-JOURNAL-D-10-00071.1.","productDescription":"4 p.","startPage":"401","endPage":"404","additionalOnlineFiles":"Y","ipdsId":"IP-025245","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1659/mrd-journal-d-10-00071.1","text":"Publisher Index Page"},{"id":271848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bhutan, China, India, Nepal, Pakistan","otherGeospatial":"Himalayas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 72.89,26.61 ], [ 72.89,35.92 ], [ 95.41,35.92 ], [ 95.41,26.61 ], [ 72.89,26.61 ] ] ] } } ] }","volume":"30","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5187716be4b078fc9c244b5b","contributors":{"authors":[{"text":"Brown, Molly Elizabeth","contributorId":50066,"corporation":false,"usgs":true,"family":"Brown","given":"Molly","email":"","middleInitial":"Elizabeth","affiliations":[],"preferred":false,"id":473061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ouyang, Hua","contributorId":42505,"corporation":false,"usgs":true,"family":"Ouyang","given":"Hua","email":"","affiliations":[],"preferred":false,"id":473059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Habib, Shahid","contributorId":103952,"corporation":false,"usgs":true,"family":"Habib","given":"Shahid","email":"","affiliations":[],"preferred":false,"id":473069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, Basanta","contributorId":69036,"corporation":false,"usgs":true,"family":"Shrestha","given":"Basanta","email":"","affiliations":[],"preferred":false,"id":473064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Mandira","contributorId":87051,"corporation":false,"usgs":true,"family":"Shrestha","given":"Mandira","email":"","affiliations":[],"preferred":false,"id":473068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panday, Prajjwal","contributorId":60520,"corporation":false,"usgs":true,"family":"Panday","given":"Prajjwal","email":"","affiliations":[],"preferred":false,"id":473063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tzortziou, Maria","contributorId":55309,"corporation":false,"usgs":true,"family":"Tzortziou","given":"Maria","email":"","affiliations":[],"preferred":false,"id":473062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Policelli, Frederick","contributorId":69440,"corporation":false,"usgs":true,"family":"Policelli","given":"Frederick","email":"","affiliations":[],"preferred":false,"id":473065,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473066,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Giriraj, Amarnath","contributorId":75414,"corporation":false,"usgs":true,"family":"Giriraj","given":"Amarnath","email":"","affiliations":[],"preferred":false,"id":473067,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bajracharya, Sagar R.","contributorId":44443,"corporation":false,"usgs":true,"family":"Bajracharya","given":"Sagar","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":473060,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Racoviteanu, Adina","contributorId":21049,"corporation":false,"usgs":true,"family":"Racoviteanu","given":"Adina","email":"","affiliations":[],"preferred":false,"id":473058,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70047109,"text":"70047109 - 2010 - Analytical models for the groundwater tidal prism and associated benthic water flux","interactions":[],"lastModifiedDate":"2013-07-18T13:32:25","indexId":"70047109","displayToPublicDate":"2013-01-01T13:29:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Analytical models for the groundwater tidal prism and associated benthic water flux","docAbstract":"The groundwater tidal prism is defined as the volume of water that inundates a porous medium, forced by one tidal oscillation in surface water. The pressure gradient that generates the prism acts on the subterranean estuary. Analytical models for the groundwater tidal prism and associated benthic flux are presented. The prism and flux are shown to be directly proportional to porosity, tidal amplitude, and the length of the groundwater wave; flux is inversely proportional to tidal period. The duration of discharge flux exceeds the duration of recharge flux over one tidal period; and discharge flux continues for some time following low tide. Models compare favorably with laboratory observations and are applied to a South Atlantic Bight study area, where tide generates an 11-m3 groundwater tidal prism per m of shoreline, and drives 81 m3 s −1 to the study area, which describes 23% of an observational estimate. In a marine water body, the discharge component of any oscillatory benthic water flux is submarine groundwater discharge. Benthic flux transports constituents between groundwater and surface water, and is a process by which pollutant loading and saltwater intrusion may occur in coastal areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0519-y","usgsCitation":"King, J.N., Mehta, A.J., and Dean, R., 2010, Analytical models for the groundwater tidal prism and associated benthic water flux: Hydrogeology Journal, v. 18, no. 1, p. 203-215, https://doi.org/10.1007/s10040-009-0519-y.","productDescription":"13","startPage":"203","endPage":"215","ipdsId":"IP-010801","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":275147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275145,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10040-009-0519-y"},{"id":275144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-009-0519-y"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-10-02","publicationStatus":"PW","scienceBaseUri":"51e90e5fe4b0e157e9e86ef4","contributors":{"authors":[{"text":"King, Jeffrey N. jking@usgs.gov","contributorId":10783,"corporation":false,"usgs":true,"family":"King","given":"Jeffrey","email":"jking@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":false,"id":481076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mehta, Ashish J.","contributorId":21051,"corporation":false,"usgs":true,"family":"Mehta","given":"Ashish","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, Robert G.","contributorId":11916,"corporation":false,"usgs":true,"family":"Dean","given":"Robert G.","affiliations":[],"preferred":false,"id":481077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046817,"text":"70046817 - 2010 - Creation of next generation U.S. Geological Survey topographic maps","interactions":[],"lastModifiedDate":"2013-08-26T13:31:54","indexId":"70046817","displayToPublicDate":"2013-01-01T13:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Creation of next generation U.S. Geological Survey topographic maps","docAbstract":"The U.S. Geological Survey (USGS) is 2 years into a 3-year cycle to create new digital topographic map products for the conterminous United States from data acquired and maintained as part of The National Map databases. These products are in the traditional, USGS topographic quadrangle, 7.5-minute (latitude and longitude) cell format. The 3-year cycle was conceived to follow the acquisition of National Aerial Imagery Program (NAIP) orthorectified imagery, a key layer in the new product. In fiscal year (FY) 2009 (ending September 30, 2009), the first year of the 3-year cycle, the USGS produced 13,200 products. These initial products of the “Digital MapBeta” series had limited feature content, including only the NAIP image, some roads, geographic names, and grid and collar information. The products were created in layered georegistered Portable Document Format (PDF) files, allowing users with freely available Adobe® Reader® software to view, print, and perform simple Geographic Information System-like functions. In FY 2010 (ending September 30, 2010), the USGS produced 20,380 products. These products of the “US Topo” series added hydrography (surface water features), contours, and some boundaries. In FY 2011 (ending September 30, 2011), the USGS will complete the initial coverage with US Topo products and will add additional feature content to the maps. The design, development, and production associated with the US Topo products provide management and technical challenges for the USGS and its public and private sector partners. One challenge is the acquisition and maintenance of nationally consistent base map data from multiple sources. Another is the use of these data to create a consistent, current series of cartographic products that can be used by the broad spectrum of traditional topographic map users. Although the USGS and its partners have overcome many of these challenges, many, such as establishing and funding a sustainable base data-maintenance program, remain to be resolved for the long term.","conferenceTitle":"ASPRS/CaGIS 2010 Fall Specialty Conference","conferenceDate":"2010-11-01T00:00:00","conferenceLocation":"Orlando, FL","language":"English","publisher":"ISPRS Technical Commission","usgsCitation":"Craun, K.J., 2010, Creation of next generation U.S. Geological Survey topographic maps, 4 p.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-024012","costCenters":[],"links":[{"id":277004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277002,"type":{"id":11,"text":"Document"},"url":"https://www.isprs.org/proceedings/XXXVIII/part4/files/Craun.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c78e4e4b01458f7842920","contributors":{"authors":[{"text":"Craun, Kari J. 0000-0001-7875-2809 kcraun@usgs.gov","orcid":"https://orcid.org/0000-0001-7875-2809","contributorId":3526,"corporation":false,"usgs":true,"family":"Craun","given":"Kari","email":"kcraun@usgs.gov","middleInitial":"J.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":480359,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042697,"text":"70042697 - 2010 - Do three massive coral species from the same reef record the same SST signal? A test from the Dry Tortugas, Florida Keys","interactions":[],"lastModifiedDate":"2022-11-14T16:42:25.452446","indexId":"70042697","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Do three massive coral species from the same reef record the same SST signal? A test from the Dry Tortugas, Florida Keys","docAbstract":"Paleoclimatologists have reconstructed century-long records of sea surface temperature (SST) in the Pacific using the Sr/Ca of massive corals, whereas similar reconstructions in the Atlantic have not proceeded at the same pace. Past research in the Florida Keys has focused on Montastrea spp., an abundant and fast-growing massive coral, thus a good candidate for climate reconstructions. However, coral records from the Florida Keys are complicated by freshwater flux, which varies the Sr/Ca in seawater, thus confounding the Sr/Ca to SST signal. In this research, we compared the monthly Sr/Ca variations in three massive corals species (Montastraea faveolata, Diploria strigosa, and Siderastrea siderea) from the same reef in the nearly pristine Dry Tortugas National Park (24.70N, 82.80W) at the southwestern extent of the Florida Keys. This location is ideal for a calibration study as hourly water temperature records are available and the remote reef is far from mainland freshwater influence. These corals experienced the same environmental conditions (water depth, clarity, Sr/Ca of seawater, etc.) but differ in the mean annual growth rates (0.86 ±0.10 (1σ) cm/year M. faveolata; 0.67 ±0.04 (1σ) cm/year D. strigosa; 0.44 ±0.04 (1σ) cm/year S. siderea). The mean Sr/Ca values are not the same but decrease with mean annual growth rates (9.201 ±0.091 (1σ) mmol/mol M. faveolata; 9.177 ±0.081 (1σ) mmol/mol D. strigosa; 8.964 ±0.12 (1σ) mmol/mol S. siderea), thus supporting the “vital effect” or biological differences during calcification between coral species. The amplitude of the seasonal cycle in Sr/Ca varies with the slower growing S. sidereahaving the largest mean amplitude and D. strigosa the smallest (0.340 mmol/mol S. siderea; 0.284 mmol/mol M. faveolata; 0.238 mmol/mol D. strigosa). We confirmed our sampling methods by conducting several intracolony and intercolony coral Sr/Ca replication tests and found a high correlation in all tests (>0.95 S. siderea; >0.90 D. strigosa; >0.83 M. faveolata; p < 0.05). The weighted linear regression of monthly coral Sr/Ca to mean monthly SST revealed that S. sidereacaptured the seasonal and interannual variability in SST (r = -0.97, -0.61 monthly and monthly anomalies, respectively, p < 0.05). The other corals have reduced correlation with monthly anomalies and do not capture the seasonal variability with the same fidelity as S. siderea. All three corals were sampled along the thecal wall following the same procedures; however, each coral species has a different skeletal structure, density, and micro-scale growth patterns. We hypothesize the thecal wall of S. siderea calcifies at a continuous rate along the time-growth axis whereas the wall of D. strigosa and M. faveolata reflects a more complex signal. Of the three species, the slow growing S. siderea provides a robust reconstruction of mean monthly SST for the Dry Tortugas thus suitable for longer centennial-scale reconstructions.
","conferenceTitle":"American Geophysical Union 2010 Joint Assembly","conferenceDate":"August 8-12, 2010","conferenceLocation":"Foz do Iguassu, Brazil","language":"English","publisher":"American Geophysical Union","usgsCitation":"DeLong, K.L., Poore, R., Reich, C., Flannery, J.A., Maupin, C.R., and Quinn, T.M., 2010, Do three massive coral species from the same reef record the same SST signal? A test from the Dry Tortugas, Florida Keys, American Geophysical Union 2010 Joint Assembly, Foz do Iguassu, Brazil, August 8-12, 2010.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022355","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":270214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.76673820002982,\n 24.702032234521695\n ],\n [\n -82.80111355697035,\n 24.72611070301882\n ],\n [\n -82.86737930528973,\n 24.725734512768284\n ],\n [\n -82.90051217944944,\n 24.717834254792294\n ],\n [\n -82.96719208869578,\n 24.649344358619032\n ],\n [\n -82.96553544498762,\n 24.5665042001456\n ],\n [\n -82.89678473110656,\n 24.566880870376693\n ],\n [\n -82.80028523511646,\n 24.617720954532814\n ],\n [\n -82.76632403910288,\n 24.66891673942027\n ],\n [\n -82.76632403910288,\n 24.702032234521695\n ],\n [\n -82.76673820002982,\n 24.702032234521695\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c387e4b01197b08e9c7f","contributors":{"authors":[{"text":"DeLong, K. 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It is a primary driver of physiological rates and many abiotic processes. However, despite extensive research and measurements, synoptic estimates of water temperature are not available for most regions, limiting our ability to make systemwide and large-scale assessments of aquatic resources or estimates of aquatic species abundance and biodiversity. We used subwatershed averaging of point temperature measurements and associated multiscale landscape habitat conditions from over 3,300 lotic sites throughout New York State to develop and train artificial neural network models. Separate models predicting water temperature (in cold, cool, and warm temperature classes) within small catchment–stream order groups were developed for four modeling units, which together encompassed the entire state. Water temperature predictions were then made for each stream segment in the state. All models explained more than 90% of data variation. Elevation, riparian forest cover, landscape slope, and growing degree-days were among the most important model predictors of water temperature classes. Geological influences varied among regions. Predicted temperature distributions within stream networks displayed patterns of generally increasing temperature downstream but were patchy due to the averaging of water temperatures within stream size-classes of small drainages. Models predicted coldwater streams to be most numerous and warmwater streams to be generally associated with the largest rivers and relatively flat agricultural areas and urban areas. 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York\",\"nation\":\"USA \"}}]}","volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"51372214e4b02ab8869c003a","contributors":{"authors":[{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":471280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butryn, Ryan S.","contributorId":87042,"corporation":false,"usgs":true,"family":"Butryn","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":471282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard P.","contributorId":73895,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042334,"text":"70042334 - 2010 - Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","interactions":[],"lastModifiedDate":"2013-05-02T14:57:27","indexId":"70042334","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","docAbstract":"Dreissenid mussels have been regarded as a “dead end” in Great Lakes food webs because the degree of predation on dreissenid mussels, on a lakewide basis, is believed to be low. Waterfowl predation on dreissenid mussels in the Great Lakes has primarily been confined to bays, and therefore its effects on the dreissenid mussel population have been localized rather than operating on a lakewide level. Based on results from a previous study, annual consumption of dreissenid mussels by the round goby (Neogobius melanostomus) population in central Lake Erie averaged only 6 kilotonnes (kt; 1 kt = one thousand metric tons) during 1995–2002. In contrast, our coupling of lake whitefish (Coregonus clupeaformis) population models with a lake whitefish bioenergetics model revealed that lake whitefish populations in Lakes Michigan and Huron consumed 109 and 820 kt, respectively, of dreissenid mussels each year. Our results indicated that lake whitefish can be an important predator on dreissenid mussels in the Great Lakes, and that dreissenid mussels do not represent a “dead end” in Great Lakes food webs. The Lake Michigan dreissenid mussel population has been estimated to be growing more than three times faster than the Lake Huron dreissenid mussel population during the 2000s. One plausible explanation for the higher population growth rate in Lake Michigan would be the substantially higher predation rate by lake whitefish on dreissenid mussels in Lake Huron.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2009.09.001","usgsCitation":"Madenijan, C.P., Pothoven, S.A., Schneeberger, P.J., Ebener, M.P., Mohr, L.C., Nalepa, T., and Bence, J., 2010, Dreissenid mussels are not a \"dead end\" in Great Lakes food webs: Journal of Great Lakes Research, v. 36, no. SP1, p. 73-77, https://doi.org/10.1016/j.jglr.2009.09.001.","productDescription":"5 p.","startPage":"73","endPage":"77","ipdsId":"IP-006302","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.09.001"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.8,41.18 ], [ -75.8,49.1 ], [ -92.11,49.1 ], [ -92.11,41.18 ], [ -75.8,41.18 ] ] ] } } ] }","volume":"36","issue":"SP1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae7e4b0a21483941a99","contributors":{"authors":[{"text":"Madenijan, Charles P.","contributorId":101169,"corporation":false,"usgs":true,"family":"Madenijan","given":"Charles","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneeberger, Philip J.","contributorId":43313,"corporation":false,"usgs":true,"family":"Schneeberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":471302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohr, Lloyd C.","contributorId":77493,"corporation":false,"usgs":false,"family":"Mohr","given":"Lloyd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":471303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":471307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70042790,"text":"70042790 - 2010 - Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels","interactions":[],"lastModifiedDate":"2013-06-06T08:33:50","indexId":"70042790","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels","docAbstract":"Limnologists recently have developed an interest in quantifying benthic resource contributions to higher-level consumers. Much of this research focuses on natural lakes with very little research in reservoirs. In this study, we provide a contemporary snapshot of the food web structure of Lake Mead to evaluate the contribution of benthic resources to fish consumers. In addition, we document the available food to fishes on soft sediments and changes to the invertebrate community over 2 time periods. Benthic invertebrate food availability for fishes is greater in Las Vegas Bay than Overton Arm. Las Vegas Bay is dominated by oligochaetes, whose biomass increased with depth, while Overton Arm is dominated by chironomids, whose biomass did not change with depth. Diet and isotopic measurements indicate the fish community largely relies on benthic resources regardless of basin (Las Vegas Bay >80%; Overton Arm >92%); however, the threadfin shad likely contribute more to largemouth and striped bass production in Overton Arm versus Las Vegas Bay. A 2-time period analysis, pre and post quagga mussel establishment and during lake level declines, suggests there is no change in the density of benthic invertebrates in Boulder Basin, but there were greater abundances of select taxa in this basin by season and depth than in other basins. Given the potential of alterations as a result of the expansion of quagga mussel and the reliance of the fishery on benthic resources, future investigation of basin specific, benthic processes is recommended.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/07438141.2010.541328","usgsCitation":"Umek, J., Chandra, S., Rosen, M., Wittmann, M., Sullivan, J., and Orsak, E., 2010, Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels: Lake and Reservoir Management, v. 26, no. 4, p. 293-305, https://doi.org/10.1080/07438141.2010.541328.","productDescription":"13 p.","startPage":"293","endPage":"305","ipdsId":"IP-015326","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":475467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/07438141.2010.541328","text":"Publisher Index Page"},{"id":273349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266325,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/07438141.2010.541328"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.9,35.99 ], [ -114.9,36.52 ], [ -113.78,36.52 ], [ -113.78,35.99 ], [ -114.9,35.99 ] ] ] } } ] }","volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1bbd3e4b022a6a540f9dd","contributors":{"authors":[{"text":"Umek, John","contributorId":23423,"corporation":false,"usgs":true,"family":"Umek","given":"John","email":"","affiliations":[],"preferred":false,"id":472271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandra, Sudeep","contributorId":33195,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":472272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael","contributorId":87441,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","affiliations":[],"preferred":false,"id":472274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wittmann, Marion","contributorId":87443,"corporation":false,"usgs":true,"family":"Wittmann","given":"Marion","affiliations":[],"preferred":false,"id":472275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Joe","contributorId":83427,"corporation":false,"usgs":true,"family":"Sullivan","given":"Joe","email":"","affiliations":[],"preferred":false,"id":472273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orsak, Erik","contributorId":92763,"corporation":false,"usgs":true,"family":"Orsak","given":"Erik","affiliations":[],"preferred":false,"id":472276,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043150,"text":"70043150 - 2010 - Large-scale coastal change in the Columbia River littoral cell: an overview","interactions":[],"lastModifiedDate":"2013-06-21T10:10:12","indexId":"70043150","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale coastal change in the Columbia River littoral cell: an overview","docAbstract":"This overview introduces large-scale coastal change in the Columbia River littoral cell (CRLC). Covering 165 km of the southwest Washington and northwest Oregon coasts, the littoral cell is made up of wide low-sloping dissipative beaches, broad coastal dunes and barrier plains, three large estuaries, and is bounded by rocky headlands. The beaches and inner shelf are composed of fine-grained sand from the Columbia River and are exposed to a high-energy winter wave climate. Throughout the Holocene, the CRLC has undergone large fluctuations in shoreline change trends, responding to a variety of coastal change drivers, including changing rates of sea-level rise, infrequent, yet catastrophic, co-seismic subsidence events, a large regional sediment supply, inter-annual climatic fluctuations (El Niño cycles), seasonally varying wave climate, and numerous anthropogenic influences. Human influences on the CRLC include construction of over 200 dams in the Columbia River drainage basin, dredging of navigation channels removing sand to upland sites and offshore deep-water sites, and construction of large inlet jetties at the entrances to the Columbia River and Grays Harbor. The construction of these massive entrance jetties at the end of the 19th century has been the dominant driver of coastal change through most of the littoral cell over the last hundred years. Presently, some beaches in the littoral cell are eroding in response to nearshore sediment deficits resulting from a) ebb-jets of the confined entrances pushing the previously large, shallow ebb-tidal deltas offshore into deeper water, and b) waves dispersing the nearshore delta flanks initially onshore and then alongshore away from the jetties. This overview describes 1) the motivation for developing a system-wide understanding of sediment dynamics in the littoral cell at multiple time and space scales, 2) the formation and approach of the Southwest Washington Coastal Erosion Study, and 3) an introduction to the papers in this special issue.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.02.007","usgsCitation":"Gelfenbaum, G., and Kaminsky, G.M., 2010, Large-scale coastal change in the Columbia River littoral cell: an overview: Marine Geology, v. 273, no. 1-4, p. 1-10, https://doi.org/10.1016/j.margeo.2010.02.007.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-010234","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274052,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2010.02.007"}],"country":"United States","state":"Washington;Oregon","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,41.99 ], [ -124.79,49.0 ], [ -116.46,49.0 ], [ -116.46,41.99 ], [ -124.79,41.99 ] ] ] } } ] }","volume":"273","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e34e4b0c89b8f120e42","contributors":{"authors":[{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":473044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaminsky, George M.","contributorId":83150,"corporation":false,"usgs":true,"family":"Kaminsky","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003630,"text":"70003630 - 2010 - Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","interactions":[],"lastModifiedDate":"2021-04-26T17:11:30.015372","indexId":"70003630","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","docAbstract":"A prolonged drought in the High Plains of Nebraska prompted the use of groundwater for cooling at the largest coal-fired power plant in the State. Prior to the drought, groundwater was used primarily for irrigation and the power plant relied exclusively on surface water stored in a nearby reservoir for cooling. Seepage from the reservoir system during the past ∼75 a has resulted in the buildup of a large mound of water in the underlying unconfined aquifer. A well field was installed during the drought for the purpose of tapping the groundwater mound as a supplemental source of water for cooling. Concentrations of dissolved Cl− and