{"pageNumber":"754","pageRowStart":"18825","pageSize":"25","recordCount":46677,"records":[{"id":70263422,"text":"70263422 - 2009 - GPS: Applications for measuring tectonic and fault-related deformation","interactions":[],"lastModifiedDate":"2025-02-11T14:50:15.037774","indexId":"70263422","displayToPublicDate":"2009-12-01T08:46:56","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"GPS: Applications for measuring tectonic and fault-related deformation","docAbstract":"<p><span>The Global Positioning System (GPS) is a&nbsp;space-based Global NavigationSatellite System (GNSS). Using signals transmitted by GPS satellites, the positions of ground‐based receivers can be calculated to high precision,making it possible to track the movement of points on the Earth's surface over time. Unlike older geodetic surveying methods which involved periodicallymeasuring angles, distances, or elevations between points, GPS can provide three‐component (latitude, longitude, and altitude) position informationat a&nbsp;range of sampling rates and on a&nbsp;global scale. GPS equipment is easy to use and can be set up to collect data continuously. Since itsearly geophysical applications in the mid-1980s, this versatile tool, which can be used to track displacements over time periods of seconds to decades,has become indispensable for crustal deformation studies, leading to many important insights and some surprising discoveries.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of complexity and systems science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-0-387-30440-3_250","usgsCitation":"Murray, J.R., 2009, GPS: Applications for measuring tectonic and fault-related deformation, chap. <i>of</i> Encyclopedia of complexity and systems science, p. 4249-4283, https://doi.org/10.1007/978-0-387-30440-3_250.","productDescription":"35 p.","startPage":"4249","endPage":"4283","ipdsId":"IP-063570","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Meyers, Robert A.","contributorId":206476,"corporation":false,"usgs":false,"family":"Meyers","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":927039,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926947,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037192,"text":"70037192 - 2009 - The geochemistry of environmentally important trace elements in UK coals, with special reference to the Parkgate coal in the Yorkshire–Nottinghamshire Coalfield, UK","interactions":[],"lastModifiedDate":"2025-02-14T20:29:10.510582","indexId":"70037192","displayToPublicDate":"2009-12-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"The geochemistry of environmentally important trace elements in UK coals, with special reference to the Parkgate coal in the Yorkshire–Nottinghamshire Coalfield, UK","docAbstract":"<p><span>The Parkgate coal of Langsettian age in the Yorkshire–Nottinghamshire coalfield is typical of many coals in the UK in that it has a high sulphur (S) content. Detailed information on the distribution of the forms of S, both laterally and vertically through the seam, was known from previous investigations. In the present work, 38 interval samples from five measured sections of the coal were comprehensively analysed for major, minor and trace elements and the significance of the relationships established using both raw and centered log transformed data. The major elements are used to quantify the variations in the inorganic and organic coal components and determine the trace element associations. Pyrite contains nearly all of the Hg, As, Se, Tl and Pb and is also the major source of the Mo, Ni, Cd and Sb. The clays contain the following elements in decreasing order of association: Rb, Cs, Li, Ga, U, Cr, V, Sc, Y, Bi, Cu, Nb, Sn, Te and Th. Nearly all of the Rb is present in the clay fraction, whereas for elements such as V, Cu and U, a significant amount is thought to be present in the organic matter, based on the K vs trace element regression equations. Only Ge, and possibly Be, would appear to have a dominant organic source. The trace element concentrations are calculated for pyrite, the clay fraction and organic matter. For pyrite it is noted that concentrations agree with published data from the Yorkshire–Nottinghamshire coalfield and also that Tl concentrations (median of 0.33</span><span>&nbsp;</span><span>ppm) in the pyrite are greater than either Hg or Cd. Unlike these elements, Tl has attracted less attention and possibly more information is needed on its anthropogenic distribution and impacts on man and the environment. A seawater source is thought to be responsible for the high concentrations of S, Cl and the non-detrital trace elements in the Parkgate coal. Indicative of the seawater control is the Th/U ratio, which expresses the detrital to non-detrital element contributions. Using other elements, similar ratios can be calculated, which in combination offer greater interpretative value.</span></p>","largerWorkTitle":"International Journal of Coal Geology","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2009.08.010","usgsCitation":"Spears, D., and Tewalt, S., 2009, The geochemistry of environmentally important trace elements in UK coals, with special reference to the Parkgate coal in the Yorkshire–Nottinghamshire Coalfield, UK: International Journal of Coal Geology, v. 80, no. 3-4, p. 157-166, https://doi.org/10.1016/j.coal.2009.08.010.","productDescription":"10 p.","startPage":"157","endPage":"166","costCenters":[],"links":[{"id":245249,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217312,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2009.08.010"},{"id":476214,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/10358/1/Spears_10358.pdf","text":"External Repository"}],"country":"United Kingdom","otherGeospatial":"Yorkshire–Nottinghamshire Coalfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -1.6862966770993637,\n              53.80516592158588\n            ],\n            [\n              -1.6862966770993637,\n              52.870590231119166\n            ],\n            [\n              -0.6397695998644792,\n              52.870590231119166\n            ],\n            [\n              -0.6397695998644792,\n              53.80516592158588\n            ],\n            [\n              -1.6862966770993637,\n              53.80516592158588\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"80","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bac4de4b08c986b3233e2","contributors":{"authors":[{"text":"Spears, D.A.","contributorId":57224,"corporation":false,"usgs":true,"family":"Spears","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":459836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tewalt, S.J.","contributorId":55838,"corporation":false,"usgs":true,"family":"Tewalt","given":"S.J.","affiliations":[],"preferred":false,"id":459835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98016,"text":"fs20093004 - 2009 - The Water Cycle in Volusia County","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"fs20093004","displayToPublicDate":"2009-12-01T00:00:00","publicationYear":"2009","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":"2009-3004","title":"The Water Cycle in Volusia County","docAbstract":"Earth's water is always in motion. The water cycle, also known as the hydrologic cycle, describes the continuous movement of water on, above, and below the Earth's surface. This fact sheet provides information about how much water moves into and out of Volusia County, and where it is stored. It also illustrates the seasonal variation in water quantity and movement using data from some of the hydrologic data collection sites in or near Volusia County, Florida.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093004","collaboration":"Prepared in cooperation with Volusia County","usgsCitation":"German, E.R., 2009, The Water Cycle in Volusia County: U.S. Geological Survey Fact Sheet 2009-3004, 6 p., https://doi.org/10.3133/fs20093004.","productDescription":"6 p.","costCenters":[{"id":168,"text":"Central Florida Research Park","active":false,"usgs":true}],"links":[{"id":125780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3004.jpg"},{"id":13338,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3004/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.75,28.25 ], [ -81.75,29.75 ], [ -80.5,29.75 ], [ -80.5,28.25 ], [ -81.75,28.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d5bc","contributors":{"authors":[{"text":"German, Edward R.","contributorId":85567,"corporation":false,"usgs":true,"family":"German","given":"Edward","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":303896,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98018,"text":"sir20095118 - 2009 - Assessment of Local Recharge Area Characteristics of Four Caves in Northern Arkansas and Northeastern Oklahoma, 2004-07","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"sir20095118","displayToPublicDate":"2009-12-01T00:00:00","publicationYear":"2009","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":"2009-5118","title":"Assessment of Local Recharge Area Characteristics of Four Caves in Northern Arkansas and Northeastern Oklahoma, 2004-07","docAbstract":"A study was conducted from 2004 to 2007 by the U.S. Geological Survey in cooperation with the U.S. Fish and Wildlife Service to assess the characteristics of the local recharge areas of four caves in northern Arkansas and northeastern Oklahoma that provide habitat for a number of unique organisms. Characterization of the local recharge areas are important because the caves occur in a predominately karst system and because land use proximal to the caves, including areas suspected to lie within the local recharge areas, may include activities with potentially deleterious effects to cave water quality.\r\n\r\nAn integrated approach was used to determine the hydrogeologic characteristics and the extent of the local recharge areas of Civil War Cave, January-Stansbury Cave, Nesbitt Spring Cave, and Wasson's Mud Cave. This approach incorporated methods of hydrology, structural geology, geomorphology, and geochemistry. Continuous water-level and water-temperature data were collected at each cave for various periods to determine recharge characteristics. Field investigations were conducted to determine surficial controls affecting the groundwater flow and connections of the groundwater system to land-surface processes in each study area. Qualitative groundwater tracing also was conducted at each cave to help define the local recharge areas. These independent methods of investigation provided multiple lines of evidence for effectively describing the behavior of these complex hydrologic systems.\r\n\r\nCivil War Cave is located near the city of Bentonville in Benton County, Arkansas, and provides habitat for the Ozark cavefish. Civil War Cave is developed entirely within the epikarst of the upper Boone Formation, and recharge to Civil War Cave occurs from the Boone Formation (Springfield Plateau aquifer). The daily mean discharge for the period of study was 0.59 cubic feet per second and ranged from 0.19 to 2.8 cubic feet per second. The mean water temperature for Civil War Cave was 14.0 degrees Celsius. The calculated recharge area for Civil War Cave ranged from 0.13 to 2.5 square miles using the water-balance equation to 3.80 square miles using a normalized base-flow method. Tracer tests indicated a portion of the water within Civil War Cave was from across a major topographic divide located to the southwest.\r\n\r\nJanuary-Stansbury Cave is located in Delaware County in northeastern Oklahoma, and provides habitat for the Oklahoma cave crayfish and the Ozark cavefish. January-Stansbury Cave is developed in the St. Joe Limestone member of the Boone Formation. The daily mean discharge for the period of study was 1.0 cubic foot per second and ranged from 0.35 to 8.7 cubic feet per second. The mean water temperature for January-Stansbury Cave was 14.3 degrees. The calculated recharge area for January-Stansbury Cave using the water-balance equation ranged from approximately 0.04 to 0.83 square miles. Tracer tests generally showed water discharging from January-Stansbury Cave during high flow originates from within the topographic drainage area and from an area outside the topographic drainage area to the southwest.\r\n\r\nNesbitt Spring Cave is located near the city of Mountain View in north-central Arkansas and provides habitat for the Hell Creek cave crayfish. Nesbitt Spring Cave is developed in the Plattin Limestone (Ozark aquifer) and is recharged through the Boone Formation (Springfield Plateau aquifer). The mean daily discharge for the period of study was 4.5 cubic feet per second and ranged from 0.39 to 70.7 cubic feet per second. The mean water temperature for Nesbitt Spring Cave was 14.2 degrees Celsius. The calculated recharge area for Nesbitt Spring Cave using the water-balance equation ranged from 0.49 square mile to 4.0 square miles. Tracer tests generally showed a portion of water discharging from Nesbitt Spring during high flow originates from outside the topographic drainage area.\r\n\r\nWasson's Mud Cave is located near the city of Springtown ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095118","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Gillip, J.A., Galloway, J.M., and Hart, R.M., 2009, Assessment of Local Recharge Area Characteristics of Four Caves in Northern Arkansas and Northeastern Oklahoma, 2004-07: U.S. Geological Survey Scientific Investigations Report 2009-5118, v, 26 p., https://doi.org/10.3133/sir20095118.","productDescription":"v, 26 p.","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":125601,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5118.jpg"},{"id":13209,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5118/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,35.5 ], [ -95,37 ], [ -91.75,37 ], [ -91.75,35.5 ], [ -95,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db67296a","contributors":{"authors":[{"text":"Gillip, Jonathan A. jgillip@usgs.gov","contributorId":3222,"corporation":false,"usgs":true,"family":"Gillip","given":"Jonathan","email":"jgillip@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98015,"text":"ds484 - 2009 - Algal and Water-Quality Data for the Yellowstone River and Tributaries, Montana and Wyoming, 1999-2000","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"ds484","displayToPublicDate":"2009-11-29T00:00:00","publicationYear":"2009","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":"484","title":"Algal and Water-Quality Data for the Yellowstone River and Tributaries, Montana and Wyoming, 1999-2000","docAbstract":"Streams of the Yellowstone River Basin in Montana and Wyoming were sampled as part of the U.S. Geological Survey's National Water-Quality Assessment Program. Algal communities were sampled in 1999 in conjunction with other ecological sampling and in 2000 during synoptic sampling. Water-quality measurements related to the algal sampling included light attenuation and dissolved-oxygen concentrations. Sites were sampled on the main-stem Yellowstone River, major tributaries such as the Clarks Fork Yellowstone River and the Bighorn River, and selected minor tributaries. Some of the data collected, such as the phytoplankton chlorophyll-a data, were referenced or summarized in previous U.S. Geological Survey reports but were not previously published in tabular form, and therefore are presented in this report, prepared in cooperation with the Montana Department of Environmental Quality. Data presented in this report include chlorophyll-a concentrations in phytoplankton and periphyton samples, as well as light attenuation and dissolved-oxygen production data from 1999-2000.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds484","collaboration":"Prepared in cooperation with the Montana Department of Environmental Quality","usgsCitation":"Peterson, D.A., 2009, Algal and Water-Quality Data for the Yellowstone River and Tributaries, Montana and Wyoming, 1999-2000: U.S. Geological Survey Data Series 484, iv, 14 p., https://doi.org/10.3133/ds484.","productDescription":"iv, 14 p.","onlineOnly":"Y","temporalStart":"1999-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":125398,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_484.jpg"},{"id":13191,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/484/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5,44 ], [ -111.5,48 ], [ -103.5,48 ], [ -103.5,44 ], [ -111.5,44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db68817b","contributors":{"authors":[{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":303895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98014,"text":"sir20095228 - 2009 - Sediment Characteristics and Transport in the Kootenai River White Sturgeon Critical Habitat near Bonners Ferry, Idaho","interactions":[],"lastModifiedDate":"2013-08-01T14:10:24","indexId":"sir20095228","displayToPublicDate":"2009-11-29T00:00:00","publicationYear":"2009","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":"2009-5228","title":"Sediment Characteristics and Transport in the Kootenai River White Sturgeon Critical Habitat near Bonners Ferry, Idaho","docAbstract":"Recovery efforts for the endangered Kootenai River population of white sturgeon require an understanding of the characteristics and transport of suspended and bedload sediment in the critical habitat reach of the river. In 2007 and 2008, the U.S. Geological Survey in cooperation with the Kootenai Tribe of Idaho, conducted suspended- and bedload-sediment sampling in the federally designated critical habitat of the endangered Kootenai River white sturgeon population. Three sediment-sampling sites were selected that represent the hydraulic differences in the critical habitat. Suspended- and bedload-sediment samples along with acoustic Doppler current profiles were collected at these sites during specific river discharges. Samples were analyzed to determine suspended- and bedload-sediment characteristics and transport rates. Sediment transport data were analyzed to provide total loading estimates for suspended and bedload sediment in the critical habitat reach.\n\nTotal suspended-sediment discharge primarily occurred as fine material that moved through the system in suspension. Total suspended-sediment discharge ranged from about 300 metric tons per day to more than 23,000 metric tons per day. Total suspended sediment remained nearly equal throughout the critical habitat, with the exception of a few cases where mass wasting of the banks may have caused sporadic spikes in total suspended sediment. \n\nBedload-sediment discharge averaged 0-3 percent of the total loading. These bedload discharges ranged from 0 to 271 tons per day. The bedload discharge in the upper part of the critical habitat primarily consisted of fine to coarse gravel. A decrease in river competence in addition to an armored channel may be the cause of this limited bedload discharge. The bedload discharge in the middle part of the white sturgeon critical habitat varied greatly, depending on the extent of the backwater from Kootenay Lake. A large quantity of fine-to-coarse gravel is present in the braided reach, but the duration of transport for these gravels is limited by the encroaching backwater of Kootenay Lake. Bedload discharge in the lower part of the white sturgeon critical habitat primarily consisted of fine to coarse sand due to decreased velocities as a result of the backwater from Kootenay Lake.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095228","collaboration":"Prepared in cooperation with the Kootenai Tribe of Idaho","usgsCitation":"Fosness, R.L., and Williams, M.L., 2009, Sediment Characteristics and Transport in the Kootenai River White Sturgeon Critical Habitat near Bonners Ferry, Idaho: U.S. Geological Survey Scientific Investigations Report 2009-5228, Report: vi, 41 p. (with appendixes), https://doi.org/10.3133/sir20095228.","productDescription":"Report: vi, 41 p. (with appendixes)","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":125693,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5228.jpg"},{"id":13190,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5228/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118,47.75 ], [ -118,50 ], [ -114.5,50 ], [ -114.5,47.75 ], [ -118,47.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cee4b07f02db545692","contributors":{"authors":[{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Marshall L. mlwilliams@usgs.gov","contributorId":1444,"corporation":false,"usgs":true,"family":"Williams","given":"Marshall","email":"mlwilliams@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303893,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209541,"text":"70209541 - 2009 - Effects of roads, topography, and land use on forest cover dynamics in the Brazilian Atlantic Forest","interactions":[],"lastModifiedDate":"2020-04-13T13:06:21.253089","indexId":"70209541","displayToPublicDate":"2009-11-27T07:58:51","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of roads, topography, and land use on forest cover dynamics in the Brazilian Atlantic Forest","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"aep-abstract-id7\" class=\"abstract author\"><div id=\"aep-abstract-sec-id8\"><p>Roads and topography can determine patterns of land use and distribution of forest cover, particularly in tropical regions. We evaluated how road density, land use, and topography affected forest fragmentation, deforestation and forest regrowth in a Brazilian Atlantic Forest region near the city of São Paulo. We mapped roads and land use/land cover for three years (1962, 1981 and 2000) from historical aerial photographs, and summarized the distribution of roads, land use/land cover and topography within a grid of 94 non-overlapping 100&nbsp;ha squares. We used generalized least squares regression models for data analysis. Our models showed that forest fragmentation and deforestation depended on topography, land use and road density, whereas forest regrowth depended primarily on land use. However, the relationships between these variables and forest dynamics changed in the two studied periods; land use and slope were the strongest predictors from 1962 to 1981, and past (1962) road density and land use were the strongest predictors for the following period (1981–2000). Roads had the strongest relationship with deforestation and forest fragmentation when the expansions of agriculture and buildings were limited to already deforested areas, and when there was a rapid expansion of development, under influence of São Paulo city. Furthermore, the past (1962) road network was more important than the recent road network (1981) when explaining forest dynamics between 1981 and 2000, suggesting a long-term effect of roads. Roads are permanent scars on the landscape and facilitate deforestation and forest fragmentation due to increased accessibility and land valorization, which control land-use and land-cover dynamics. Topography directly affected deforestation, agriculture and road expansion, mainly between 1962 and 1981. Forest are thus in peril where there are more roads, and long-term conservation strategies should consider ways to mitigate roads as permanent landscape features and drivers facilitators of deforestation and forest fragmentation.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2009.10.036","usgsCitation":"Freitas, S.R., Hawbaker, T., and Metzger, J.P., 2009, Effects of roads, topography, and land use on forest cover dynamics in the Brazilian Atlantic Forest: Forest Ecology and Management, v. 259, no. 3, p. 410-417, https://doi.org/10.1016/j.foreco.2009.10.036.","productDescription":"8 p.","startPage":"410","endPage":"417","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488910,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://dx.doi.org/10.1016/j.foreco.2009.10.036","text":"External Repository"},{"id":373907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","state":"São Paulo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -48.36181640625,\n              -24.297040469311558\n            ],\n            [\n              -47.8564453125,\n              -24.716895455859323\n            ],\n            [\n              -47.26318359374999,\n              -24.766784522874428\n            ],\n            [\n              -46.549072265625,\n              -24.246964554300924\n            ],\n            [\n              -46.86767578125,\n              -23.694834722205936\n            ],\n            [\n              -47.559814453125,\n              -23.725011735951796\n            ],\n            [\n              -48.36181640625,\n              -24.297040469311558\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"259","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Freitas, Simone R.","contributorId":223973,"corporation":false,"usgs":false,"family":"Freitas","given":"Simone","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":786733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":786734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metzger, Jean Paul","contributorId":223974,"corporation":false,"usgs":false,"family":"Metzger","given":"Jean","email":"","middleInitial":"Paul","affiliations":[],"preferred":false,"id":786735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98010,"text":"sim3071 - 2009 - Potentiometric Surface of the Upper Floridan Aquifer, West-Central Florida, September 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"sim3071","displayToPublicDate":"2009-11-24T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3071","title":"Potentiometric Surface of the Upper Floridan Aquifer, West-Central Florida, September 2008","docAbstract":"The Floridan aquifer system consists of the Upper and Lower Floridan aquifers separated by the middle confining unit. The middle confining unit and the Lower Floridan aquifer in west-central Florida generally contain highly mineralized water. The water-bearing units containing fresh water are herein referred to as the Upper Floridan aquifer. The Upper Floridan aquifer is the principal source of water in the Southwest Florida Water Management District and is used for major public supply, domestic use, irrigation, and brackish water desalination in coastal communities (Southwest Florida Water Management District, 2000).\r\n\r\nThis map report shows the potentiometric surface of the Upper Floridan aquifer measured in September 2008. The potentiometric surface is an imaginary surface connecting points of equal altitude to which water will rise in tightly-cased wells that tap a confined aquifer system (Lohman, 1979). This map represents water-level conditions near the end of the wet season, when ground-water levels usually are at an annual high and withdrawals for agricultural use typically are low. The cumulative average rainfall of 50.63 inches for west-central Florida (from October 2007 through September 2008) was 2.26 inches below the historical cumulative average of 52.89 inches (Southwest Florida Water Management District, 2008). Historical cumulative averages are calculated from regional rainfall summary reports (1915 to most recent complete calendar year) and are updated monthly by the Southwest Florida Water Management District.\r\n\r\nThis report, prepared by the U.S. Geological Survey in cooperation with the Southwest Florida Water Management District, is part of a semi-annual series of Upper Floridan aquifer potentiometric-surface map reports for west-central Florida. Potentiometric-surface maps have been prepared for January 1964, May 1969, May 1971, May 1973, May 1974, and for each May and September since 1975. Water-level data are collected in May and September each year to show the approximate annual low and high water-level conditions, respectively. Most of the water-level data for this map were collected by the U.S. Geological Survey during the period September 15-19, 2008. Supplemental water-level data were collected by other agencies and companies. A corresponding potentiometric-surface map was prepared for areas east and north of the Southwest Florida Water Management District boundary by the U.S. Geological Survey office in Orlando, Florida (Kinnaman and Dixon, 2009). Most water-level measurements were made during a 5-day period; therefore, measurements do not represent a 'snapshot' of conditions at a specific time, nor do they necessarily coincide with the seasonal high water-level condition.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3071","collaboration":"Prepared in cooperation with the Southwest Florida Water Management District","usgsCitation":"Ortiz, A.G., 2009, Potentiometric Surface of the Upper Floridan Aquifer, West-Central Florida, September 2008: U.S. Geological Survey Scientific Investigations Map 3071, Map Sheet: 34 x 34 inches, https://doi.org/10.3133/sim3071.","productDescription":"Map Sheet: 34 x 34 inches","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-09-15","temporalEnd":"2008-09-19","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3071.jpg"},{"id":13186,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3071/","linkFileType":{"id":5,"text":"html"}}],"scale":"500000","projection":"State Plane Florida East","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.5,26.25 ], [ -84.5,29.75 ], [ -80.75,29.75 ], [ -80.75,26.25 ], [ -84.5,26.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae4a0","contributors":{"authors":[{"text":"Ortiz, Anita G. agourlay@usgs.gov","contributorId":1855,"corporation":false,"usgs":true,"family":"Ortiz","given":"Anita","email":"agourlay@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":303882,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98008,"text":"sir20085231 - 2009 - Simulations of Groundwater Flow and Particle Tracking Analysis in the Area Contributing Recharge to a Public-Supply Well near Tampa, Florida, 2002-05","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"sir20085231","displayToPublicDate":"2009-11-24T00:00:00","publicationYear":"2009","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":"2008-5231","title":"Simulations of Groundwater Flow and Particle Tracking Analysis in the Area Contributing Recharge to a Public-Supply Well near Tampa, Florida, 2002-05","docAbstract":"Shallow ground water in the north-central Tampa Bay region, Florida, is affected by elevated nitrate concentrations, the presence of volatile organic compounds, and pesticides as a result of groundwater development and intensive urban land use. The region relies primarily on groundwater for drinking-water supplies. Sustainability of groundwater quality for public supply requires monitoring and understanding of the mechanisms controlling the vulnerability of public-supply wells to contamination. A single public-supply well was selected for intensive study based on the need to evaluate the dominant processes affecting the vulnerability of public-supply wells in the Upper Floridan aquifer in the City of Temple Terrace near Tampa, Florida, and the presence of a variety of chemical constituents in water from the well. A network of 29 monitoring wells was installed, and water and sediment samples were collected within the area contributing recharge to the selected public-supply well to support a detailed analysis of physical and chemical conditions and processes affecting the water chemistry in the well. A three-dimensional, steady-state groundwater flow model was developed to evaluate the age of groundwater reaching the well and to test hypotheses on the vulnerability of the well to nonpoint source input of nitrate.\r\n\r\nParticle tracking data were used to calculate environmental tracer concentrations of tritium and sulfur hexafluoride and to calibrate traveltimes and compute flow paths and advective travel times in the model area. The traveltime of particles reaching the selected public-supply well ranged from less than 1 day to 127.0 years, with a median of 13.1 years; nearly 45 percent of the simulated particle ages were less than about 10 years. Nitrate concentrations, derived primarily from residential/commercial fertilizer use and atmospheric deposition, were highest (2.4 and 6.11 milligrams per liter as nitrogen, median and maximum, respectively) in shallow groundwater from the surficial aquifer system and lowest (less than the detection level of 0.06 milligram per liter) in the deeper Upper Floridan aquifer. Denitrification occurred near the interface of the surficial aquifer system and the underlying intermediate confining unit, within the intermediate confining unit, and within the Upper Floridan aquifer because of reducing conditions in this part of the flow system. However, simulations indicate that the rapid movement of water from the surficial aquifer system to the selected public-supply well through karst features (sinkholes) and conduit layers that bypass the denitrifying zones (short-circuits), coupled with high pumping rates, allow nitrate to reach the selected public-supply well in concentrations that resemble those of the overlying surficial aquifer system. Water from the surficial aquifer system with elevated concentrations of nitrate and low concentrations of some volatile organic compounds and pesticides is expected to continue moving into the selected public-supply well, because calculated flux-weighted concentrations indicate the proportion of young affected water contributing to the well is likely to remain relatively stable over time. The calculated nitrate concentration in the selected public-supply well indicates a lag of 1 to 10 years between peak concentrations of nonpoint source contaminants in recharge and appearance in the well.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085231","collaboration":"Prepared in cooperation with the National Water-Quality Assessment Program Transport of Anthropogenic and Natural Contaminants (TANC) to Public-Supply Wells","usgsCitation":"Crandall, C.A., Kauffman, L.J., Katz, B.G., Metz, P.A., McBride, W., and Berndt, M., 2009, Simulations of Groundwater Flow and Particle Tracking Analysis in the Area Contributing Recharge to a Public-Supply Well near Tampa, Florida, 2002-05: U.S. Geological Survey Scientific Investigations Report 2008-5231, viii, 53 p., https://doi.org/10.3133/sir20085231.","productDescription":"viii, 53 p.","temporalStart":"2002-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":125584,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5231.jpg"},{"id":13185,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5231/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,24 ], [ -90,34 ], [ -79,34 ], [ -79,24 ], [ -90,24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d9e4b07f02db549717","contributors":{"authors":[{"text":"Crandall, Christy A. crandall@usgs.gov","contributorId":1091,"corporation":false,"usgs":true,"family":"Crandall","given":"Christy","email":"crandall@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":303860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katz, Brian G. bkatz@usgs.gov","contributorId":1093,"corporation":false,"usgs":true,"family":"Katz","given":"Brian","email":"bkatz@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":303861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metz, Patricia A. pmetz@usgs.gov","contributorId":1095,"corporation":false,"usgs":true,"family":"Metz","given":"Patricia","email":"pmetz@usgs.gov","middleInitial":"A.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":303863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McBride, W. Scott","contributorId":15293,"corporation":false,"usgs":true,"family":"McBride","given":"W. Scott","affiliations":[],"preferred":false,"id":303864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berndt, Marian P.","contributorId":45296,"corporation":false,"usgs":true,"family":"Berndt","given":"Marian P.","affiliations":[],"preferred":false,"id":303865,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98011,"text":"fs20093088 - 2009 - Use of StreamStats in the Upper French Broad River Basin, North Carolina: A Pilot Water-Resources Web Application","interactions":[],"lastModifiedDate":"2016-12-07T10:23:41","indexId":"fs20093088","displayToPublicDate":"2009-11-24T00:00:00","publicationYear":"2009","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":"2009-3088","title":"Use of StreamStats in the Upper French Broad River Basin, North Carolina: A Pilot Water-Resources Web Application","docAbstract":"StreamStats is a Web-based Geographic Information System (GIS) application that was developed by the U.S. Geological Survey (USGS) in cooperation with Environmental Systems Research Institute, Inc. (ESRI) to provide access to an assortment of analytical tools that are useful for water-resources planning and management. StreamStats allows users to easily obtain streamflow statistics, basin characteristics, and descriptive information for USGS data-collection sites and selected ungaged sites. StreamStats also allows users to identify stream reaches upstream and downstream from user-selected sites and obtain information for locations along streams where activities occur that can affect streamflow conditions. This functionality can be accessed through a map-based interface with the user's Web browser or through individual functions requested remotely through other Web applications.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093088","usgsCitation":"Wagner, C., Tighe, K., and Terziotti, S., 2009, Use of StreamStats in the Upper French Broad River Basin, North Carolina: A Pilot Water-Resources Web Application: U.S. Geological Survey Fact Sheet 2009-3088, 4 p., https://doi.org/10.3133/fs20093088.","productDescription":"4 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":125420,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3088.jpg"},{"id":13188,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3088/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North 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,{"id":98009,"text":"sir20095150 - 2009 - DayCent-Chem simulations of ecological and biogeochemical processes of eight mountain ecosystems in the United States","interactions":[],"lastModifiedDate":"2023-12-14T21:11:38.411538","indexId":"sir20095150","displayToPublicDate":"2009-11-24T00:00:00","publicationYear":"2009","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":"2009-5150","title":"DayCent-Chem simulations of ecological and biogeochemical processes of eight mountain ecosystems in the United States","docAbstract":"<p>Atmospheric deposition of nitrogen (N) and sulfur (S) cause complex responses in ecosystems, from fertilization to forest ecosystem decline, freshwater eutrophication to acidification, loss of soil base cations, and alterations of disturbance regimes. DayCent-Chem, an ecosystem simulation model that combines ecosystem nutrient cycling and plant dynamics with aqueous geochemical equilibrium calculations, was developed to address ecosystem responses to combined atmospheric N and S deposition. It is unique among geochemically-based models in its dynamic biological cycling of N and its daily timestep for investigating ecosystem and surface water chemical response to episodic events.</p><p>The model was applied to eight mountainous watersheds in the United States. The sites represent a gradient of N deposition across locales, from relatively pristine to N-saturated, and a variety of ecosystem types and climates. Overall, the model performed best in predicting stream chemistry for snowmelt-dominated sites. It was more difficult to predict daily stream chemistry for watersheds with deep soils, high amounts of atmospheric deposition, and a large degree of spatial heterogeneity. DayCent-Chem did well in representing plant and soil carbon and nitrogen pools and fluxes. Modeled stream nitrate (NO<sub>3</sub><sup>-</sup>) and ammonium (NH<sub>4</sub><sup>+</sup>) concentrations compared well with measurements at all sites, with few exceptions. Simulated daily stream sulfate (SO<sub>4</sub><sup>2-</sup>) concentrations compared well to measured values for sites where SO<sub>4</sub><sup>2-</sup><span>&nbsp;</span>deposition has been low and where SO<sub>4</sub><sup>2-</sup><span>&nbsp;</span>adsorption/desorption reactions did not seem to be important. The concentrations of base cations and silica in streams are highly dependent on the geochemistry and weathering rates of minerals in each catchment, yet these were rarely, if ever, known. Thus, DayCent-Chem could not accurately predict weathering products for some catchments. Additionally, few data were available for exchangeable soil cations or the magnitude of base cation deposition as a result of dry and fog inputs. The uncertainties related to weathering reactions, deposition, soil cation exchange capacity, and groundwater contributions influenced how well the simulated acid neutralizing capacity (ANC) and pH estimates compared to observed values. Daily discharge was well represented by the model for most sites.</p><p>The chapters of this report describe the parameterization for each site and summarize model results for ecosystem variables, stream discharge, and stream chemistry. This intersite comparison exercise provided insight about important and possibly not well understood processes.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095150","collaboration":"Prepared in cooperation with Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado","usgsCitation":"Hartman, M.D., Baron, J., Clow, D.W., Creed, I., Driscoll, C.T., Ewing, H., Haines, B.D., Knoepp, J., Lajtha, K., Ojima, D., Parton, W.J., Renfro, J., Robinson, R.B., Van Miegroet, H., Weathers, K.C., and Williams, M.W., 2009, DayCent-Chem simulations of ecological and biogeochemical processes of eight mountain ecosystems in the United States: U.S. Geological Survey Scientific Investigations Report 2009-5150, xiv, 174 p., https://doi.org/10.3133/sir20095150.","productDescription":"xiv, 174 p.","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science 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Bruce","contributorId":10510,"corporation":false,"usgs":true,"family":"Robinson","given":"R.","email":"","middleInitial":"Bruce","affiliations":[],"preferred":false,"id":303868,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Van Miegroet, Helga","contributorId":40308,"corporation":false,"usgs":true,"family":"Van Miegroet","given":"Helga","email":"","affiliations":[],"preferred":false,"id":303872,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weathers, Kathleen C.","contributorId":58731,"corporation":false,"usgs":true,"family":"Weathers","given":"Kathleen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303876,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Williams, Mark W.","contributorId":43046,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":303873,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":98004,"text":"ofr20091138 - 2009 - Application of the Hydroecological Integrity Assessment Process for Missouri Streams","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"ofr20091138","displayToPublicDate":"2009-11-19T00:00:00","publicationYear":"2009","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":"2009-1138","title":"Application of the Hydroecological Integrity Assessment Process for Missouri Streams","docAbstract":"Natural flow regime concepts and theories have established the justification for maintaining or restoring the range of natural hydrologic variability so that physiochemical processes, native biodiversity, and the evolutionary potential of aquatic and riparian assemblages can be sustained. A synthesis of recent research advances in hydroecology, coupled with stream classification using hydroecologically relevant indices, has produced the Hydroecological Integrity Assessment Process (HIP). HIP consists of (1) a regional classification of streams into hydrologic stream types based on flow data from long-term gaging-station records for relatively unmodified streams, (2) an identification of stream-type specific indices that address 11 subcomponents of the flow regime, (3) an ability to establish environmental flow standards, (4) an evaluation of hydrologic alteration, and (5) a capacity to conduct alternative analyses. The process starts with the identification of a hydrologic baseline (reference condition) for selected locations, uses flow data from a stream-gage network, and proceeds to classify streams into hydrologic stream types. Concurrently, the analysis identifies a set of non-redundant and ecologically relevant hydrologic indices for 11 subcomponents of flow for each stream type. Furthermore, regional hydrologic models for synthesizing flow conditions across a region and the development of flow-ecology response relations for each stream type can be added to further enhance the process. The application of HIP to Missouri streams identified five stream types ((1) intermittent, (2) perennial runoff-flashy, (3) perennial runoff-moderate baseflow, (4) perennial groundwater-stable, and (5) perennial groundwater-super stable). Two Missouri-specific computer software programs were developed: (1) a Missouri Hydrologic Assessment Tool (MOHAT) which is used to establish a hydrologic baseline, provide options for setting environmental flow standards, and compare past and proposed hydrologic alterations; and (2) a Missouri Stream Classification Tool (MOSCT) designed for placing previously unclassified streams into one of the five pre-defined stream types.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091138","collaboration":"Prepared in cooperation with the Missouri Department of Conservation and the U.S. Fish and Wildlife Service","usgsCitation":"Kennen, J., Henriksen, J.A., Heasley, J., Cade, B.S., and Terrell, J.W., 2009, Application of the Hydroecological Integrity Assessment Process for Missouri Streams: U.S. Geological Survey Open-File Report 2009-1138, vi, 57 p., https://doi.org/10.3133/ofr20091138.","productDescription":"vi, 57 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":125471,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1138.jpg"},{"id":13181,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1138/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,35 ], [ -96,42 ], [ -88,42 ], [ -88,35 ], [ -96,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a7a3","contributors":{"authors":[{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henriksen, James A.","contributorId":89985,"corporation":false,"usgs":true,"family":"Henriksen","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":303852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heasley, John","contributorId":57004,"corporation":false,"usgs":true,"family":"Heasley","given":"John","email":"","affiliations":[],"preferred":false,"id":303851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":303850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terrell, James W. 0000-0001-5394-5663","orcid":"https://orcid.org/0000-0001-5394-5663","contributorId":92726,"corporation":false,"usgs":true,"family":"Terrell","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":303853,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98006,"text":"cir1341 - 2009 - History of the topographic branch (division)","interactions":[],"lastModifiedDate":"2014-07-21T16:18:42","indexId":"cir1341","displayToPublicDate":"2009-11-19T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1341","title":"History of the topographic branch (division)","docAbstract":"From a very early period of the world's existence, man has endeavored to represent the earth's surface in a graphic form for the information of his fellow men, realizing that no oral or written description is capable of setting forth topographic facts so vividly and so clearly as a map.\n\nMapping of the areas of the United States began with the charting of portions of its coast line by early explorers; the need for topographic maps was first recognized during the war of the Colonies for independence from Great Britain. On July 22, 1777, Congress authorized General Washington to appoint:\n\n'Mr. Robert Erskine, or any other person that he may think proper, geographer and surveyor of the roads, to take sketches of the country and the seat of war.'\n\nBy several acts during the Revolutionary War, Congress provided 'geographers' for the armies of the United States, some of them with the pay of a colonel, amounting to $60 a month and allowances. At the end of the War, a resolution of May 27, 1785, continued in service the 'geographer of the United States' for a period of 3 years. The War Department recognized the necessity of 'geographical engineers' and requested Congress to authorize their appointment, but it was not until the next war that Congress authorized on March 3, 1813, the appointment of eight topographic engineers and eight assistant topographic engineers under the direction of the General Staff of the Army. These officers formed the nucleus of the first Corps of Topographic Engineers in the Army, and that Corps continued to function as an independent unit until it was absorbed by the Corps of Engineers in 1863, during the Civil War between the States.\n\nBetween the Louisiana Purchase in 1803, and the outbreak of the Civil War, more than a hundred exploring and mapping expeditions were sent into the vast territory lying west of the Mississippi River to investigate the natural resources of this newly acquired country and to find possible locations for wagon roads to the Pacific Coast. These expeditions were sent out by the War Department and were in charge of Army officers. It is interesting to note that such generals as George G. Meade, J.C. Fremont, Joseph E. Johnston, W.F. Smith, John Pope, A.W. Whipple, J.G. Parke, G.K. Warren, and H.L. Abbott, all officers of the Corps of Topographic Engineers, had charge of expeditions and were among our earliest map makers. Unfortunately, the data obtained by these editions were not of sufficient accuracy to serve as a basis for topographic maps of value other than in illustrating their voluminous reports.\n\nDuring this early period, numerous surveys were undertaken within the original Thirteen States, by the Federal government and by the States. The most important were those carried on by the U.S. Coast and Geodetic Survey, which made an accurate survey of the Atlantic Coastline and established a triangulation system that was of so high a standard as to constitute the first and only accurate data for topographic mapping obtained before the Civil War. The Coast and Geodetic Survey, while charting the coast and rivers, also mapped a strip of country extending a few miles inland, the relief being shown by means of hachures, together with contour lines, until 1846 when the first government topographic map on which the relief was shown by contours alone was made, covering an area in the vicinity of Boston Harbor. In 1835, however, the Geological and Topographical Survey of Maryland had issued a map on which the relief was shown by contours, and this is believed to be the first contoured map issued in this country.\n\nThe outbreak of the Civil War stopped all mapping activities other than those needed by the U.S. Army. During the war, topographic surveys were carried on throughout the war zone under the supervision of the Corps of Engineers, the topographers being civilian employees. After the war, the country west of the Mississippi again became the center of the mapping activities","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1341","isbn":"9781411326125","usgsCitation":"Evans, R.T., and Frye, H.M., 2009, History of the topographic branch (division): U.S. Geological Survey Circular 1341, xvi, 196 p., https://doi.org/10.3133/cir1341.","productDescription":"xvi, 196 p.","numberOfPages":"224","costCenters":[{"id":424,"text":"National Geospatial Program Geography Discipline","active":false,"usgs":true}],"links":[{"id":125378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1341.jpg"},{"id":13183,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1341/","linkFileType":{"id":5,"text":"html"}},{"id":290625,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1341/pdf/circ_1341.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62bfbf","contributors":{"authors":[{"text":"Evans, Richard T.","contributorId":96381,"corporation":false,"usgs":true,"family":"Evans","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":303857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frye, Helen M.","contributorId":39088,"corporation":false,"usgs":true,"family":"Frye","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":303856,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97998,"text":"ofr20091255 - 2009 - Assessment of contaminant exposure and effects on ospreys nesting along the Lower Duwamish River, Washington, 2006-07","interactions":[],"lastModifiedDate":"2019-08-13T11:40:32","indexId":"ofr20091255","displayToPublicDate":"2009-11-17T00:00:00","publicationYear":"2009","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":"2009-1255","title":"Assessment of contaminant exposure and effects on ospreys nesting along the Lower Duwamish River, Washington, 2006-07","docAbstract":"We evaluated the effects of contaminants on osprey (Pandion haliaetus) nesting along the lower Duwamish River (LDR), Washington, and used the upper reach of the Willamette River (WR), Oregon, as a reference site. Osprey eggs and nestling blood (plasma) were collected at nests along the LDR (11 eggs, 7 plasmas) and WR (10 eggs, 6 plasmas) in 2006-07 and analyzed for contaminants. Additionally, hematology and serum chemistries were determined in the blood/plasma samples of nestlings (about 35-45 days old) and were used as potential indicators of stress induced by contaminant exposure. Detailed foraging information for ospreys nesting along the LDR was collected and evaluated to better understand contaminant profiles observed in the eggs and plasma. Additional residue data from 26 osprey eggs collected and analyzed in 2002-03 from nests along the LDR, Snohomish River Estuary (SRE) and Lake Washington (LW) in the Puget Sound (PS) region also were evaluated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091255","usgsCitation":"Johnson, B., Henny, C.J., Kaiser, J.L., Davis, J.W., and Schulz, E.P., 2009, Assessment of contaminant exposure and effects on ospreys nesting along the Lower Duwamish River, Washington, 2006-07: U.S. Geological Survey Open-File Report 2009-1255, x, 90 p., https://doi.org/10.3133/ofr20091255.","productDescription":"x, 90 p.","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":125522,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1255.jpg"},{"id":13175,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1255/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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L.","contributorId":57033,"corporation":false,"usgs":true,"family":"Kaiser","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":303837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Jay W.","contributorId":77264,"corporation":false,"usgs":true,"family":"Davis","given":"Jay","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":303839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schulz, Edmund P.","contributorId":66375,"corporation":false,"usgs":true,"family":"Schulz","given":"Edmund","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":303838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97992,"text":"ds455 - 2009 - Groundwater-quality data in the Madera-Chowchilla study unit, 2008: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-07-19T20:56:35.457052","indexId":"ds455","displayToPublicDate":"2009-11-17T00:00:00","publicationYear":"2009","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":"455","title":"Groundwater-quality data in the Madera-Chowchilla study unit, 2008: Results from the California GAMA Program","docAbstract":"<p>Groundwater quality in the approximately 860-square-mile Madera–Chowchilla study unit (MADCHOW) was investigated in April and May 2008 as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project was developed in response to the Groundwater Quality Monitoring Act of 2001 and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB).</p><p>The study was designed to provide a spatially unbiased assessment of the quality of raw groundwater used for public water supplies within MADCHOW, and to facilitate statistically consistent comparisons of groundwater quality throughout California. Samples were collected from 35&nbsp;wells in Madera, Merced, and Fresno Counties. Thirty of the wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study area (grid wells), and five more were selected to provide additional sampling density to aid in understanding processes affecting groundwater quality (flow-path wells). Detection summaries in the text and tables are given for grid wells only, to avoid over-representation of the water quality in areas adjacent to flow-path wells.</p><p>Groundwater samples were analyzed for a large number of synthetic organic constituents (volatile organic compounds [VOCs], low-level 1,2-dibromo-3-chloropropane [DBCP] and 1,2-dibromoethane [EDB], pesticides and pesticide degradates, polar pesticides and metabolites, and pharmaceutical compounds), constituents of special interest (N-nitrosodimethylamine [NDMA], perchlorate, and low-level 1,2,3-trichloropropane [1,2,3-TCP]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), and radioactive constituents (uranium isotopes, and gross alpha and gross beta particle activities). Naturally occurring isotopes and geochemical tracers (stable isotopes of hydrogen, oxygen, and carbon, and activities of tritium and carbon-14), and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater. In total, approximately 300 constituents and field water-quality indicators were investigated.</p><p>Three types of quality-control samples (blanks, replicates, and samples for matrix spikes) each were collected at approximately 11 percent of the wells sampled for each analysis, and the results obtained from these samples were used to evaluate the quality of the data for the groundwater samples. Field blanks rarely contained detectable concentrations of any constituent, suggesting that data for the groundwater samples were not compromised by possible contamination during sample collection, handling or analysis. Differences between replicate samples were within acceptable ranges. Matrix spike recoveries were within acceptable ranges for most compounds.</p><p>This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, raw groundwater typically is treated, disinfected, or blended with other waters to maintain water quality. Regulatory thresholds apply to water that is served to the consumer, not to raw groundwater. However, to provide some context for the results, concentrations of constituents measured in the raw groundwater were compared with regulatory and non-regulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and the California Department of Public Health (CDPH), and with aesthetic and technical thresholds established by CDPH. Comparisons between data collected for this study and drinking-water thresholds are for illustrative purposes only, and are not indicative of compliance or non-compliance with regulatory thresholds.</p><p>The concentrations of most constituents detected in groundwater samples from MADCHOW wells were below drinking-water thresholds. Organic compounds (VOCs and pesticides) were detected in about 40 percent of the samples from grid wells, and most concentrations were less than 1/100 of regulatory or non-regulatory health-based thresholds, although the concentrations of low-level DBCP in 10 percent and low-level EDB in 3 percent of the samples from grid wells were above the corresponding USEPA maximum contaminant levels (MCL-USs). Perchlorate was detected in 70 percent of the samples from grid wells, and most concentrations were less than one-tenth of the CDPH maximum contaminant level (MCL-CA). Low-level 1,2,3-TCP was detected in 33 percent of the samples from grid wells, and all concentrations were less than 1/1,000 of the USEPA lifetime health advisory level (HAL-US). Most concentrations of trace elements and nutrients in samples were below regulatory and non-regulatory health-based thresholds. Concentrations were above the MCL-US for nitrate in 7 percent of the samples from grid wells, for arsenic and uranium in 13 percent each of the samples from grid wells; and the concentration of vanadium was above the CDPH notification level (NL–CA) in 3 percent of the samples from grid wells. Detections of radioactive constituents were below regulatory and non-regulatory health-based thresholds in most samples. Combined activities of uranium isotopes were detected above the MCL-CA in 20 percent of the subset of 25 grid well samples analyzed, and gross alpha particle activity was detected above the MCL-US in 20 percent of the samples from the 30 total grid wells. Most of the samples from MADCHOW grid wells had concentrations of major and minor ions, total dissolved solids, and trace elements below the CDPH secondary maximum contaminant levels (SMCL-CAs), which are nonenforceable thresholds set for aesthetic and technical concerns. Twenty percent of the samples from grid wells contained specific-conductance values, or concentrations of chloride, total dissolved solids, or manganese above the respective SMCL–CAs.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds455","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Shelton, J.L., Fram, M.S., and Belitz, K., 2009, Groundwater-quality data in the Madera-Chowchilla study unit, 2008: Results from the California GAMA Program: U.S. Geological Survey Data Series 455, x, 81 p., https://doi.org/10.3133/ds455.","productDescription":"x, 81 p.","temporalStart":"2008-04-01","temporalEnd":"2008-05-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":125389,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_455.jpg"},{"id":404081,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87706.htm","linkFileType":{"id":5,"text":"html"}},{"id":13168,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/455/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Madera-Chowchilla study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.5917,\n              36.7433\n            ],\n            [\n              -119.6833,\n              36.7433\n            ],\n            [\n              -119.6833,\n              37.2\n            ],\n            [\n              -120.5917,\n              37.2\n            ],\n            [\n              -120.5917,\n              36.7433\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db658a50","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303823,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97995,"text":"ofr20091125 - 2009 - Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"ofr20091125","displayToPublicDate":"2009-11-17T00:00:00","publicationYear":"2009","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":"2009-1125","title":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2008","docAbstract":"The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25 to 40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompass the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin are currently (2008) obtained soley from ground-water resources. An increase of about 20 percent in the population from 1990 to 2000 also resulted in an increased demand for water. A network of wells was established to monitor changes in ground-water levels throughout the basin from April 1982 through September 1983. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2008), the network consists of 144 wells and piezometers. This report presents water-level data collected by U.S. Geological Survey personnel at 125 sites through water-year 2008. In addition, data from 19 wells (Sites 127-30, 132-134, 136, 138-142 and 144-149) owned, maintained, and measured by Sandia National Laboratories are presented in this report.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091125","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., 2009, Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2008: U.S. Geological Survey Open-File Report 2009-1125, iv, 38 p., https://doi.org/10.3133/ofr20091125.","productDescription":"iv, 38 p.","temporalStart":"1982-04-01","temporalEnd":"2008-09-30","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":125465,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1125.jpg"},{"id":13171,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1125/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,34 ], [ -107.5,36 ], [ -106,36 ], [ -106,34 ], [ -107.5,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5eee1d","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303828,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98001,"text":"sir20095165 - 2009 - A Comparison of Turbidity-Based and Streamflow-Based Estimates of Suspended-Sediment Concentrations in Three Chesapeake Bay Tributaries","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095165","displayToPublicDate":"2009-11-17T00:00:00","publicationYear":"2009","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":"2009-5165","title":"A Comparison of Turbidity-Based and Streamflow-Based Estimates of Suspended-Sediment Concentrations in Three Chesapeake Bay Tributaries","docAbstract":"Fluvial transport of sediment into the Chesapeake Bay estuary is a persistent water-quality issue with major implications for the overall health of the bay ecosystem. Accurately and precisely estimating the suspended-sediment concentrations (SSC) and loads that are delivered to the bay, however, remains challenging. Although manual sampling of SSC produces an accurate series of point-in-time measurements, robust extrapolation to unmeasured periods (especially highflow periods) has proven to be difficult. Sediment concentrations typically have been estimated using regression relations between individual SSC values and associated streamflow values; however, suspended-sediment transport during storm events is extremely variable, and it is often difficult to relate a unique SSC to a given streamflow. With this limitation for estimating SSC, innovative approaches for generating detailed records of suspended-sediment transport are needed.\r\n\r\nOne effective method for improved suspended-sediment determination involves the continuous monitoring of turbidity as a surrogate for SSC. Turbidity measurements are theoretically well correlated to SSC because turbidity represents a measure of water clarity that is directly influenced by suspended sediments; thus, turbidity-based estimation models typically are effective tools for generating SSC data. The U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency Chesapeake Bay Program and Virginia Department of Environmental Quality, initiated continuous turbidity monitoring on three major tributaries of the bay - the James, Rappahannock, and North Fork Shenandoah Rivers - to evaluate the use of turbidity as a sediment surrogate in rivers that deliver sediment to the bay. Results of this surrogate approach were compared to the traditionally applied streamflow-based approach for estimating SSC. Additionally, evaluation and comparison of these two approaches were conducted for nutrient estimations. \r\n\r\nResults demonstrate that the application of turbidity-based estimation models provides an improved method for generating a continuous record of SSC, relative to the classical approach that uses streamflow as a surrogate for SSC. Turbidity-based estimates of SSC were found to be more accurate and precise than SSC estimates from streamflow-based approaches. The turbidity-based SSC estimation models explained 92 to 98 percent of the variability in SSC, while streamflow-based models explained 74 to 88 percent of the variability in SSC. Furthermore, the mean absolute error of turbidity-based SSC estimates was 50 to 87 percent less than the corresponding values from the streamflow-based models. Statistically significant differences were detected between the distributions of residual errors and estimates from the two approaches, indicating that the turbidity-based approach yields estimates of SSC with greater precision than the streamflow-based approach.\r\n\r\nSimilar improvements were identified for turbidity-based estimates of total phosphorus, which is strongly related to turbidity because total phosphorus occurs predominantly in particulate form. Total nitrogen estimation models based on turbidity and streamflow generated estimates of similar quality, with the turbidity-based models providing slight improvements in the quality of estimations. This result is attributed to the understanding that nitrogen transport is dominated by dissolved forms that relate less directly to streamflow and turbidity. Improvements in concentration estimation resulted in improved estimates of load. Turbidity-based suspended-sediment loads estimated for the James River at Cartersville, VA, monitoring station exhibited tighter confidence interval bounds and a coefficient of variation of 12 percent, compared with a coefficient of variation of 38 percent for the streamflow-based load.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095165","isbn":"9781411326057","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency Chesapeake Bay Program and the Virginia Department of Environmental Quality","usgsCitation":"Jastram, J.D., Moyer, D., and Hyer, K., 2009, A Comparison of Turbidity-Based and Streamflow-Based Estimates of Suspended-Sediment Concentrations in Three Chesapeake Bay Tributaries: U.S. Geological Survey Scientific Investigations Report 2009-5165, vi, 39 p., https://doi.org/10.3133/sir20095165.","productDescription":"vi, 39 p.","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":125621,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5165.jpg"},{"id":13178,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5165/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,36 ], [ -81,43 ], [ -74,43 ], [ -74,36 ], [ -81,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd494fe4b0b290850ef0b1","contributors":{"authors":[{"text":"Jastram, John D. 0000-0002-9416-3358 jdjastra@usgs.gov","orcid":"https://orcid.org/0000-0002-9416-3358","contributorId":3531,"corporation":false,"usgs":true,"family":"Jastram","given":"John","email":"jdjastra@usgs.gov","middleInitial":"D.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moyer, Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hyer, Kenneth kenhyer@usgs.gov","contributorId":2701,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98000,"text":"ofr20091205 - 2009 - Long-Term Stage, Stage-Residual, and Width Data for Streams in the Piedmont Physiographic Region, Georgia","interactions":[],"lastModifiedDate":"2016-12-08T12:40:42","indexId":"ofr20091205","displayToPublicDate":"2009-11-17T00:00:00","publicationYear":"2009","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":"2009-1205","title":"Long-Term Stage, Stage-Residual, and Width Data for Streams in the Piedmont Physiographic Region, Georgia","docAbstract":"This report presents the data used to assess geomorphic adjustment of streams over time and to changing land-use conditions. Thirty-seven U.S. Geological Survey streamgages were selected within the Piedmont physiographic region of Georgia. Width, depth, stage, and discharge data from these streams were analyzed to assess channel stability and determine if systematic adjustments of channel morphology could be related to time or land use and land cover. Residual analyses of stage-discharge data were used to infer channel stability, which could then be used as an indicator of habitat stability. Streamgages, representing a gradient of urbanization, were selected to test hypotheses regarding stream stability and adjustment to urban conditions. Results indicate that 14 sites exhibited long-term channel stability, 11 were degrading, 6 were aggrading, and 6 showed variability in response over the study period.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091205","usgsCitation":"Riley, J.W., and Jacobson, R.B., 2009, Long-Term Stage, Stage-Residual, and Width Data for Streams in the Piedmont Physiographic Region, Georgia: U.S. Geological Survey Open-File Report 2009-1205, vi, 48 p., https://doi.org/10.3133/ofr20091205.","productDescription":"vi, 48 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":125498,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1205.jpg"},{"id":13177,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1205/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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,{"id":97999,"text":"ofr20091244 - 2009 - Groundwater Conditions and Studies in the Albany Area of Dougherty County, Georgia, 2008","interactions":[],"lastModifiedDate":"2016-12-08T12:44:12","indexId":"ofr20091244","displayToPublicDate":"2009-11-17T00:00:00","publicationYear":"2009","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":"2009-1244","title":"Groundwater Conditions and Studies in the Albany Area of Dougherty County, Georgia, 2008","docAbstract":"The U.S. Geological Survey has been working cooperatively with the Albany Water, Gas, and Light Commission to monitor groundwater quality and availability since 1977. This report presents an overview of groundwater conditions and studies in the Albany area of Dougherty County, Georgia, during 2008. Historical data also are presented for comparison with 2008 data. Ongoing monitoring activities include continuous water-level recording in 24 wells and periodic water-level measurements in 5 wells. During 2008, water levels in 10 of the continuous-recording wells were below normal, corresponding to lower than average rainfall. Groundwater samples collected from 25 wells in the Upper Floridan aquifer indicate that nitrate levels during 2008 were similar to values from 2007, with a maximum of 12.5 milligrams per liter at one well.\r\n\r\nWater samples collected from the Flint River and wells at the Albany well field were analyzed and plotted on a trilinear diagram to show the percent composition of selected major cations and anions. Groundwater constituents (major cations and anions) of the Upper Floridan aquifer at the Albany well field remain distinctly different from those in the water of the Flint River.\r\n\r\nTo improve the understanding of the groundwater-flow system and nitrate movement in the Upper Floridan aquifer, the U.S. Geological Survey is developing a groundwater-flow model in the Albany area of southwestern Georgia. The model is being calibrated to simulate periods of dry (October 1999) hydrologic conditions. Preliminary results of particle tracking indicate that water flows to the well field from the northwest.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091244","collaboration":"Prepared in cooperation with the Albany Water, Gas, and Light Commission","usgsCitation":"Gordon, D.W., 2009, Groundwater Conditions and Studies in the Albany Area of Dougherty County, Georgia, 2008: U.S. Geological Survey Open-File Report 2009-1244, vi, 54 p., https://doi.org/10.3133/ofr20091244.","productDescription":"vi, 54 p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":125517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1244.jpg"},{"id":13176,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1244/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","county":"Dougherty County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.41666666666667,31.416666666666668 ], [ -84.41666666666667,31.666666666666668 ], [ -84.08333333333333,31.666666666666668 ], [ -84.08333333333333,31.416666666666668 ], [ -84.41666666666667,31.416666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db69637d","contributors":{"authors":[{"text":"Gordon, Debbie W. 0000-0002-5195-6657 dwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":2251,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie","email":"dwarner@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303840,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97988,"text":"sir20095223 - 2009 - Estimation of Leakage Potential of Selected Sites in Interstate and Tri-State Canals Using Geostatistical Analysis of Selected Capacitively Coupled Resistivity Profiles, Western Nebraska, 2004","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"sir20095223","displayToPublicDate":"2009-11-12T00:00:00","publicationYear":"2009","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":"2009-5223","title":"Estimation of Leakage Potential of Selected Sites in Interstate and Tri-State Canals Using Geostatistical Analysis of Selected Capacitively Coupled Resistivity Profiles, Western Nebraska, 2004","docAbstract":"With increasing demands for reliable water supplies and availability estimates, groundwater flow models often are developed to enhance understanding of surface-water and groundwater systems. Specific hydraulic variables must be known or calibrated for the groundwater-flow model to accurately simulate current or future conditions. Surface geophysical surveys, along with selected test-hole information, can provide an integrated framework for quantifying hydrogeologic conditions within a defined area. In 2004, the U.S. Geological Survey, in cooperation with the North Platte Natural Resources District, performed a surface geophysical survey using a capacitively coupled resistivity technique to map the lithology within the top 8 meters of the near-surface for 110 kilometers of the Interstate and Tri-State Canals in western Nebraska and eastern Wyoming. Assuming that leakage between the surface-water and groundwater systems is affected primarily by the sediment directly underlying the canal bed, leakage potential was estimated from the simple vertical mean of inverse-model resistivity values for depth levels with geometrically increasing layer thickness with depth which resulted in mean-resistivity values biased towards the surface. This method generally produced reliable results, but an improved analysis method was needed to account for situations where confining units, composed of less permeable material, underlie units with greater permeability.\r\n\r\nIn this report, prepared by the U.S. Geological Survey in cooperation with the North Platte Natural Resources District, the authors use geostatistical analysis to develop the minimum-unadjusted method to compute a relative leakage potential based on the minimum resistivity value in a vertical column of the resistivity model. The minimum-unadjusted method considers the effects of homogeneous confining units. The minimum-adjusted method also is developed to incorporate the effect of local lithologic heterogeneity on water transmission. Seven sites with differing geologic contexts were selected following review of the capacitively coupled resistivity data collected in 2004. A reevaluation of these sites using the mean, minimum-unadjusted, and minimum-adjusted methods was performed to compare the different approaches for estimating leakage potential.\r\n\r\nFive of the seven sites contained underlying confining units, for which the minimum-unadjusted and minimum-adjusted methods accounted for the confining-unit effect. Estimates of overall leakage potential were lower for the minimum-unadjusted and minimum-adjusted methods than those estimated by the mean method. For most sites, the local heterogeneity adjustment procedure of the minimum-adjusted method resulted in slightly larger overall leakage-potential estimates. In contrast to the mean method, the two minimum-based methods allowed the least permeable areas to control the overall vertical permeability of the subsurface. The minimum-adjusted method refined leakage-potential estimation by additionally including local lithologic heterogeneity effects.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095223","collaboration":"Prepared in cooperation with the North Platte Natural Resources District","usgsCitation":"Vrabel, J., Teeple, A., and Kress, W.H., 2009, Estimation of Leakage Potential of Selected Sites in Interstate and Tri-State Canals Using Geostatistical Analysis of Selected Capacitively Coupled Resistivity Profiles, Western Nebraska, 2004: U.S. Geological Survey Scientific Investigations Report 2009-5223, vi, 24 p., https://doi.org/10.3133/sir20095223.","productDescription":"vi, 24 p.","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":126876,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5223.jpg"},{"id":13164,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5223/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbcc6","contributors":{"authors":[{"text":"Vrabel, Joseph 0000-0002-8773-0764 jvrabel@usgs.gov","orcid":"https://orcid.org/0000-0002-8773-0764","contributorId":1577,"corporation":false,"usgs":true,"family":"Vrabel","given":"Joseph","email":"jvrabel@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kress, Wade H.","contributorId":100475,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":303811,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97991,"text":"ds432 - 2009 - Groundwater quality data for the Tahoe-Martis study unit, 2007: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-07-19T20:12:12.143918","indexId":"ds432","displayToPublicDate":"2009-11-12T00:00:00","publicationYear":"2009","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":"432","title":"Groundwater quality data for the Tahoe-Martis study unit, 2007: Results from the California GAMA Program","docAbstract":"<p>Groundwater quality in the approximately 460-square-mile Tahoe–Martis study unit was investigated in June through September 2007 as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project was developed in response to the Groundwater Quality Monitoring Act of 2001 and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB).</p><p>The study was designed to provide a spatially unbiased assessment of the quality of raw groundwater used for public water supplies within the Tahoe–Martis study unit (Tahoe–Martis) and to facilitate statistically consistent comparisons of groundwater quality throughout California. Samples were collected from 52 wells in El Dorado, Placer, and Nevada Counties. Forty-one of the wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study area (grid wells), and 11 were selected to aid in evaluation of specific water-quality issues (understanding wells).</p><p>The groundwater samples were analyzed for a large number of synthetic organic constituents (volatile organic compounds [VOC], pesticides and pesticide degradates, and pharmaceutical compounds), constituents of special interest (perchlorate and<span>&nbsp;</span><i>N</i>-nitrosodimethylamine [NDMA]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), radioactive constituents, and microbial indicators. Naturally occurring isotopes (tritium, carbon-14, strontium isotope ratio, and stable isotopes of hydrogen and oxygen of water), and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater. In total, 240 constituents and water-quality indicators were investigated.</p><p>Three types of quality-control samples (blanks, replicates, and samples for matrix spikes) each were collected at 12 percent of the wells, and the results obtained from these samples were used to evaluate the quality of the data for the groundwater samples. Field blanks rarely contained detectable concentrations of any constituent, suggesting that data for the groundwater samples were not compromised by possible contamination during sample collection, handling or analysis. Differences between replicate samples were within acceptable ranges. Matrix spike recoveries were within acceptable ranges for most compounds.</p><p>This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, raw water typically is treated, disinfected, or blended with other waters to maintain water quality. Regulatory thresholds apply to water that is served to the consumer, not to raw groundwater. However, to provide some context for the results, concentrations of constituents measured in the raw groundwater were compared with regulatory and nonregulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and the California Department of Public Health (CDPH), and with aesthetic and technical thresholds established by CDPH. Comparisons between data collected for this study and drinking-water thresholds are for illustrative purposes only and do not indicate of compliance or noncompliance with regulatory thresholds.</p><p>The concentrations of most constituents detected in groundwater samples from the Tahoe–Martis wells were below drinking-water thresholds. Organic compounds (VOCs and pesticides) were detected in about 40 percent of the samples from grid wells, and most concentrations were less than 1/100th of regulatory and nonregulatory health-based thresholds, although the conentration of perchloroethene in one sample was above the USEPA maximum contaminant level (MCL-US). Concentrations of all trace elements and nutrients in samples from grid wells were below regulatory and nonregulatory health-based thresholds, with five exceptions. Concentrations of arsenic were above the MCL-US in 20 percent of the samples from grid wells. Gross alpha particle activity (MCL-US), boron (CDPH notification level, NL-CA), and molybdenum (USEPA lifetime health advisory, HAL-US) were each detected above thresholds in two of the samples from grid wells, and radon (proposed alternative MCL-US) was detected above the threshold in one sample from a grid well. Most of the samples from Tahoe–Martis grid wells had concentrations of major elements, total dissolved solids, and trace elements below the CDPH secondary maximum contaminant levels, nonenforceable thresholds set for aesthetic and technical concerns. Fifteen percent of the samples from grid wells contained iron, manganese, or total dissolved solids at concentrations above these levels.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds432","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Fram, M.S., Munday, C., and Belitz, K., 2009, Groundwater quality data for the Tahoe-Martis study unit, 2007: Results from the California GAMA Program: U.S. Geological Survey Data Series 432, x, 89 p., https://doi.org/10.3133/ds432.","productDescription":"x, 89 p.","temporalStart":"2007-06-01","temporalEnd":"2007-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":125385,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_432.jpg"},{"id":404072,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87733.htm","linkFileType":{"id":5,"text":"html"}},{"id":13167,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/432/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California, Nevada","otherGeospatial":"Tahoe-Martis study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.3194,\n              38.7617\n            ],\n            [\n              -119.8833,\n              38.7617\n            ],\n            [\n              -119.8833,\n              39.425\n            ],\n            [\n              -120.3194,\n              39.425\n            ],\n            [\n              -120.3194,\n              38.7617\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a96e4b07f02db65a1b0","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munday, Cathy","contributorId":57538,"corporation":false,"usgs":true,"family":"Munday","given":"Cathy","affiliations":[],"preferred":false,"id":303822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97990,"text":"ofr20081118 - 2009 - Deep Resistivity Structure of Mid Valley, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"ofr20081118","displayToPublicDate":"2009-11-12T00:00:00","publicationYear":"2009","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":"2008-1118","title":"Deep Resistivity Structure of Mid Valley, Nevada Test Site, Nevada","docAbstract":"The U.S. Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) at their Nevada Site Office (NSO) are addressing ground-water contamination resulting from historical underground nuclear testing through the Environmental Management (EM) program and, in particular, the Underground Test Area (UGTA) project.\r\n\r\nFrom 1951 to 1992, 828 underground nuclear tests were conducted at the Nevada Test Site northwest of Las Vegas (DOE UGTA, 2003). Most of these tests were conducted hundreds of feet above the ground-water table; however, more than 200 of the tests were near, or within, the water table. This underground testing was limited to specific areas of the Nevada Test Site including Pahute Mesa, Rainier Mesa/Shoshone Mountain (RM-SM), Frenchman Flat, and Yucca Flat.\r\n\r\nOne issue of concern is the nature of the somewhat poorly constrained pre-Tertiary geology and its effects on ground-water flow in the area subsequent to a nuclear test. Ground-water modelers would like to know more about the hydrostratigraphy and geologic structure to support a hydrostratigraphic framework model that is under development for the Rainier Mesa/Shoshone Mountain (RM-SM) Corrective Action Unit (CAU) (National Security Technologies, 2007).\r\n\r\nDuring 2003, the U.S. Geological Survey (USGS), in cooperation with the DOE and NNSA-NSO collected and processed data at the Nevada Test Site in and near Yucca Flat (YF) to help define the character, thickness, and lateral extent of the pre-Tertiary confining units. We collected 51 magnetotelluric (MT) and audio-magnetotelluric (AMT) stations for that research (Williams and others, 2005a, 2005b, 2005c, 2005d, 2005e, and 2005f). In early 2005 we extended that research with 26 additional MT data stations (Williams and others, 2006) located on and near Rainier Mesa and Shoshone Mountain (RM-SM). The new stations extended the area of the hydrogeologic study previously conducted in Yucca Flat, further refining what is known about the pre-Tertiary confining units. In particular, a major goal was to define the extent of the upper clastic confining unit (UCCU). The UCCU is composed of late Devonian to Mississippian siliciclastic rocks assigned to the Eleana Formation and Chainman Shale (National Security Technologies, 2007). The UCCU underlies the Yucca Flat area and extends southwestward toward Shoshone Mountain, westward toward Buckboard Mesa, and northwestward toward Rainier Mesa. Late in 2005 we collected data at an additional 14 MT stations in Mid Valley, CP Hills, and northern Yucca Flat. That work was done to better determine the extent and thickness of the UCCU near the boundary between the southeastern RM-SM CAU and the southwestern YF CAU, and also in the northern YF CAU. The MT data have been released in a separate U.S. Geological Survey report (Williams and others, 2007).\r\n\r\nThe Nevada Test Site magnetotelluric data interpretation presented in this report includes the results of detailed two-dimensional (2-D) resistivity modeling for each profile and inferences on the three-dimensional (3-D) character of the geology within the region.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081118","usgsCitation":"Wallin, E.L., Rodriguez, B.D., and Williams, J.M., 2009, Deep Resistivity Structure of Mid Valley, Nevada Test Site, Nevada: U.S. Geological Survey Open-File Report 2008-1118, Report: iv, 46 p.; Plate: 17.5 x 24.5 inches, https://doi.org/10.3133/ofr20081118.","productDescription":"Report: iv, 46 p.; Plate: 17.5 x 24.5 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2008_1118.jpg"},{"id":13166,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1118/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.33333333333333,36.833333333333336 ], [ -116.33333333333333,37 ], [ -115.91666666666667,37 ], [ -115.91666666666667,36.833333333333336 ], [ -116.33333333333333,36.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6725b8","contributors":{"authors":[{"text":"Wallin, Erin L.","contributorId":70066,"corporation":false,"usgs":true,"family":"Wallin","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":303819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":303817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":303818,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97987,"text":"sir20095230 - 2009 - Mapping and Visualization of Storm-Surge Dynamics for Hurricane Katrina and Hurricane Rita","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"sir20095230","displayToPublicDate":"2009-11-12T00:00:00","publicationYear":"2009","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":"2009-5230","title":"Mapping and Visualization of Storm-Surge Dynamics for Hurricane Katrina and Hurricane Rita","docAbstract":"The damages caused by the storm surges from Hurricane Katrina and Hurricane Rita were significant and occurred over broad areas. Storm-surge maps are among the most useful geospatial datasets for hurricane recovery, impact assessments, and mitigation planning for future storms. Surveyed high-water marks were used to generate a maximum storm-surge surface for Hurricane Katrina extending from eastern Louisiana to Mobile Bay, Alabama. The interpolated surface was intersected with high-resolution lidar elevation data covering the study area to produce a highly detailed digital storm-surge inundation map. The storm-surge dataset and related data are available for display and query in a Web-based viewer application. A unique water-level dataset from a network of portable pressure sensors deployed in the days just prior to Hurricane Rita's landfall captured the hurricane's storm surge. The recorded sensor data provided water-level measurements with a very high temporal resolution at surveyed point locations. The resulting dataset was used to generate a time series of storm-surge surfaces that documents the surge dynamics in a new, spatially explicit way. The temporal information contained in the multiple storm-surge surfaces can be visualized in a number of ways to portray how the surge interacted with and was affected by land surface features. Spatially explicit storm-surge products can be useful for a variety of hurricane impact assessments, especially studies of wetland and land changes where knowledge of the extent and magnitude of storm-surge flooding is critical.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095230","usgsCitation":"Gesch, D.B., 2009, Mapping and Visualization of Storm-Surge Dynamics for Hurricane Katrina and Hurricane Rita: U.S. Geological Survey Scientific Investigations Report 2009-5230, iv, 19 p., https://doi.org/10.3133/sir20095230.","productDescription":"iv, 19 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":125695,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5230.jpg"},{"id":13163,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5230/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,28 ], [ -94,32 ], [ -87,32 ], [ -87,28 ], [ -94,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64977f","contributors":{"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":303808,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97989,"text":"sir20095061 - 2009 - Soil CO<sub>2</sub> Flux in the Amargosa Desert, Nevada, during El Nino 1998 and La Nina 1999","interactions":[],"lastModifiedDate":"2018-01-30T21:06:38","indexId":"sir20095061","displayToPublicDate":"2009-11-12T00:00:00","publicationYear":"2009","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":"2009-5061","title":"Soil CO<sub>2</sub> Flux in the Amargosa Desert, Nevada, during El Nino 1998 and La Nina 1999","docAbstract":"Mean annual soil CO2 fluxes from normally bare mineral soil in the Amargosa Desert in southern Nevada, United States, measured with clear and opaque soil CO2-flux chambers (autochambers) were small - <5 millimoles per square meter per day - during both El Nino 1998 and La Nina 1999. The 1998 opaque-chamber flux exceeded 1999 opaque-chamber flux by an order of magnitude, whereas the 1998 clear-chamber flux exceeded 1999 clear-chamber flux by less than a factor of two. These data suggest that above-normal soil moisture stimulated increased metabolic activity, but that much of the extra CO2 produced was recaptured by plants. Fluxes from warm moist soil were the largest sustained fluxes measured, and their hourly pattern is consistent with enhanced soil metabolic activity at some depth in the soil and photosynthetic uptake of a substantial portion of the CO2 released. Flux from cool moist soil was smaller than flux from warm moist soil. Flux from hot dry soil was intermediate between warm-moist and cool-moist fluxes, and clear-chamber flux was more than double the opaque-chamber flux, apparently due to a chamber artifact stemming from a thermally controlled CO2 reservoir near the soil surface. There was no demonstrable metabolic contribution to the very small flux from cool dry soil, which was dominated by diffusive up-flux of CO2 from the water table and temperature-controlled CO2-reservoir up- and down-fluxes. These flux patterns suggest that transfer of CO2 across the land surface is a complex process that is difficult to accurately measure.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095061","usgsCitation":"Riggs, A.C., Stannard, D.I., Maestas, F.B., Karlinger, M.R., and Striegl, R.G., 2009, Soil CO<sub>2</sub> Flux in the Amargosa Desert, Nevada, during El Nino 1998 and La Nina 1999: U.S. Geological Survey Scientific Investigations Report 2009-5061, vi, 25 p., https://doi.org/10.3133/sir20095061.","productDescription":"vi, 25 p.","onlineOnly":"Y","temporalStart":"1998-01-01","temporalEnd":"1999-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125591,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5061.jpg"},{"id":13165,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5061/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.25,36 ], [ -117.25,37 ], [ -115,37 ], [ -115,36 ], [ -117.25,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db69883d","contributors":{"authors":[{"text":"Riggs, Alan C. ariggs@usgs.gov","contributorId":149,"corporation":false,"usgs":true,"family":"Riggs","given":"Alan","email":"ariggs@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":303812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stannard, David I. distanna@usgs.gov","contributorId":562,"corporation":false,"usgs":true,"family":"Stannard","given":"David","email":"distanna@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":303813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maestas, Florentino B.","contributorId":20856,"corporation":false,"usgs":true,"family":"Maestas","given":"Florentino","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":303816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karlinger, Michael R.","contributorId":10777,"corporation":false,"usgs":true,"family":"Karlinger","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":303814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":303815,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97975,"text":"ds475 - 2009 - Bathymetry and Near-River Topography of the Naches and Yakima Rivers at Union Gap and Selah Gap, Yakima County, Washington, August 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"ds475","displayToPublicDate":"2009-11-10T00:00:00","publicationYear":"2009","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":"475","title":"Bathymetry and Near-River Topography of the Naches and Yakima Rivers at Union Gap and Selah Gap, Yakima County, Washington, August 2008","docAbstract":"Yakima County is collaborating with the Bureau of Reclamation on a study of the hydraulics and sediment-transport in the lower Naches River and in the Yakima River between Union Gap and Selah Gap in Washington. River bathymetry and topographic data of the river channels are needed for the study to construct hydraulic models. River survey data were available for most of the study area, but river bathymetry and near-river topography were not available for Selah Gap, near the confluence of the Naches and Yakima Rivers, and for Union Gap. In August 2008, the U.S. Geological Survey surveyed the areas where data were not available. If possible, the surveys were made with a boat-mounted, single-beam echo sounder attached to a survey-grade Real-Time Kinematic (RTK) global positioning system (GPS). An RTK GPS rover was used on a walking survey of the river banks, shallow river areas, and river bed areas that were impenetrable to the echo sounder because of high densities of macrophytes. After the data were edited, 95,654 bathymetric points from the boat survey with the echo sounder and 1,069 points from the walking survey with the GPS rover were used in the study. The points covered 4.6 kilometers on the Yakima River and 0.6 kilometers on the Naches River. GPS-surveyed points checked within 0.014 to 0.047 meters in the horizontal direction and -0.036 to 0.078 meters in the vertical direction compared to previously established survey control points","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds475","collaboration":"Prepared in cooperation with Yakima County","usgsCitation":"Mastin, M.C., and Fosness, R., 2009, Bathymetry and Near-River Topography of the Naches and Yakima Rivers at Union Gap and Selah Gap, Yakima County, Washington, August 2008: U.S. Geological Survey Data Series 475, iv, 17 p., https://doi.org/10.3133/ds475.","productDescription":"iv, 17 p.","temporalStart":"2008-08-01","temporalEnd":"2008-08-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125396,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_475.jpg"},{"id":13153,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/475/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.58333333333333,46.5 ], [ -120.58333333333333,46.75 ], [ -120.41666666666667,46.75 ], [ -120.41666666666667,46.5 ], [ -120.58333333333333,46.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db634add","contributors":{"authors":[{"text":"Mastin, M. C.","contributorId":90782,"corporation":false,"usgs":true,"family":"Mastin","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, R.L.","contributorId":47887,"corporation":false,"usgs":true,"family":"Fosness","given":"R.L.","affiliations":[],"preferred":false,"id":303769,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}