{"pageNumber":"771","pageRowStart":"19250","pageSize":"25","recordCount":46700,"records":[{"id":97379,"text":"ofr20081347 - 2009 - The performance of nearshore dredge disposal at Ocean Beach, San Francisco, California, 2005-2007","interactions":[],"lastModifiedDate":"2022-07-13T19:01:41.588416","indexId":"ofr20081347","displayToPublicDate":"2009-03-17T00:00:00","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":"2008-1347","title":"The performance of nearshore dredge disposal at Ocean Beach, San Francisco, California, 2005-2007","docAbstract":"Ocean Beach, California, contains an erosion hot spot in the shadow of the San Francisco ebb tidal delta that threatens valuable public infrastructure as well as the safe recreational use of the beach. In an effort to reduce the erosion at this location a new plan for the management of sediment dredged annually from the main shipping channel at the mouth of San Francisco Bay was implemented in May 2005 by the United States Army Corps of Engineers, San Francisco District (USACE). The USACE designated a temporary nearshore dredge disposal site for the annual disposal of about 230,000 m3 (300,000 yd3) of sand about 750 m offshore and slightly south of the erosion hot spot, in depths between approximately 9 and 14 m. The site has now been used three times for a total sediment disposal of about 690,000 m3 (about 900,000 yds3). The disposal site was chosen because it is in a location where strong tidal currents and open-ocean waves can potentially feed sediment toward the littoral zone in the reach of the beach that is experiencing critical erosion, as well as prevent further scour on an exposed outfall pipe. The onshore migration of sediment from the target disposal location might feed the primary longshore bar or the nearshore zone, and provide a buffer to erosion that peaks during winter months when large waves impact the region. The United States Geological Survey (USGS) has been monitoring and modeling the bathymetric evolution of the test dredge disposal site and the adjacent coastal region since inception in May 2005. This paper reports on the first 2.5 years of this monitoring program effort (May 2005 to December 2007) and assesses the short-term coastal response. Here are the key findings of this report: \r\n\r\n*Approximately half of the sediment that has been placed in the nearshore dredge-disposal site during the 2.5 years of this study remains within the dredge focus area. \r\n\r\n*In the winter of 2006-7, large waves transported the dredge-mound material onshore. \r\n\r\n*High rates of seasonal cross-shore sediment transport mask any potential profile change in the Coastal Profiling System data due to dredge placement. \r\n\r\n*Pockets of accretion have been recorded by topographic surveying adjacent to the dredge site, but it is unclear if the accretion is linked to the nourishment. \r\n\r\n*Cross-shore profile modeling suggests that dredge material must be placed in water depths no greater than 5 m to drive a positive shoreline response. \r\n\r\n*Area modeling demonstrates that the new dredge site increases wave dissipation and modifies local sediment-transport patterns, although the effect on the nearshore morphology is largely negligible. \r\n\r\n*Any increase in beach width or wave energy-dissipation related to the nourishment is likely to be realized only in the vicinity directly onshore of the nourishment site, which is several hundred meters south of the area of critical erosion. \r\n\r\n*Larger waves from the northwest and smaller waves from the west or southwest contribute most to the sediment transport from the dredge mound onshore.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081347","usgsCitation":"Barnard, P., Erikson, L., Hansen, J., and Elias, E., 2009, The performance of nearshore dredge disposal at Ocean Beach, San Francisco, California, 2005-2007 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1347, vi, 93 p., https://doi.org/10.3133/ofr20081347.","productDescription":"vi, 93 p.","onlineOnly":"Y","temporalStart":"2005-05-01","temporalEnd":"2007-12-31","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195173,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403669,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86450.htm","linkFileType":{"id":5,"text":"html"}},{"id":12435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1347/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Ocean Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.5564,\n              37.7117\n            ],\n            [\n              -122.5033,\n              37.7117\n            ],\n            [\n              -122.5033,\n              37.7786\n            ],\n            [\n              -122.5564,\n              37.7786\n            ],\n            [\n              -122.5564,\n              37.7117\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67ae7c","contributors":{"authors":[{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":301918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H.","contributorId":10880,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","affiliations":[],"preferred":false,"id":301916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jeff E.","contributorId":60339,"corporation":false,"usgs":true,"family":"Hansen","given":"Jeff E.","affiliations":[],"preferred":false,"id":301919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":301917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97376,"text":"sir20095011 - 2009 - Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004","interactions":[],"lastModifiedDate":"2019-08-30T07:00:35","indexId":"sir20095011","displayToPublicDate":"2009-03-17T00:00:00","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":"2009-5011","title":"Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004","docAbstract":"The Nebraska Department of Natural Resources approved instream-flow appropriations on the Platte River to maintain fish communities, whooping crane roost habitat, and wet meadows used by several wild bird species. In the lower Platte River region, the Nebraska Game and Parks Commission owns an appropriation filed to maintain streamflow for fish communities between the Platte River confluence with the Elkhorn River and the mouth of the Platte River. Because Elkhorn River flow is an integral part of the flow in the reach addressed by this appropriation, the Upper Elkhorn and Lower Elkhorn Natural Resources Districts are involved in overall management of anthropogenic effects on the availability of surface water for instream requirements.\r\n\r\nThe Physical Habitat Simulation System (PHABSIM) and other estimation methodologies were used previously to determine instream requirements for Platte River biota, which led to the filing of five water appropriations applications with the Nebraska Department of Natural Resources in 1993 by the Nebraska Game and Parks Commission. One of these requested instream-flow appropriations of 3,700 cubic feet per second was for the reach from the Elkhorn River to the mouth of the Platte River. Four appropriations were granted with modifications in 1998, by the Nebraska Department of Natural Resources.\r\n\r\nDaily streamflow data for the periods of record were summarized for 17 streamflow-gaging stations in Nebraska to evaluate streamflow characteristics, including low-flow intervals for consecutive durations of 1, 3, 7, 14, 30, 60, and 183 days. Temporal trends in selected streamflow statistics were not adjusted for variability in precipitation. Results indicated significant positive temporal trends in annual flow for the period of record at eight streamflow-gaging stations - Platte River near Duncan (06774000), Platte River at North Bend (06796000), Elkhorn River at Neligh (06798500), Logan Creek near Uehling (06799500), Maple Creek near Nickerson (06800000), Elkhorn River at Waterloo (06800500), Salt Creek at Greenwood (06803555), and Platte River at Louisville (06805500). In general, sites in the Elkhorn River Basin upstream from Norfolk showed fewer significant trends than did sites downstream from Norfolk and sites in the Platte River and Salt Creek basins, where trends in low flows also were positive.\r\n\r\nHistorical Platte River streamflow records for the streamflow-gaging station at Louisville, Nebraska, were used to determine the number of days per water year (Sept. 30 to Oct. 1) when flows failed to satisfy the minimum criteria of the instream-flow appropriation prior to its filing in 1993. Before 1993, the median number of days the criteria were not satisfied was about 120 days per water year. During 1993 through 2004, daily mean flows at Louisville, Nebraska, have failed to satisfy the criteria for 638 days total (median value equals 21.5 days per year). Most of these low-flow intervals occurred in summer through early fall. For water years 1953 through 2004, of the discrete intervals when flow was less that the criteria levels, 61 percent were 3 days or greater in duration, and 38 percent were 7 days or greater in duration. The median duration of intervals of flow less than the criteria levels was 4 consecutive days during 1953 through 2004.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095011","collaboration":"Prepared in cooperation with the Upper Elkhorn Natural Resources District and the Lower Elkhorn Natural Resources District","usgsCitation":"Dietsch, B.J., Godberson, J.A., and Steele, G.V., 2009, Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004: U.S. Geological Survey Scientific Investigations Report 2009-5011, iv, 94 p., https://doi.org/10.3133/sir20095011.","productDescription":"iv, 94 p.","temporalStart":"1928-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":126722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5011.jpg"},{"id":12562,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5011/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,40.75 ], [ -100,43 ], [ -95.5,43 ], [ -95.5,40.75 ], [ -100,40.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f127d","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godberson, Julie A.","contributorId":27574,"corporation":false,"usgs":true,"family":"Godberson","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97370,"text":"sir20095024 - 2009 - Occurrence of Pesticides in Ground Water of Wyoming, 1995-2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095024","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-5024","title":"Occurrence of Pesticides in Ground Water of Wyoming, 1995-2006","docAbstract":"Little existing information was available describing pesticide occurrence in ground water of Wyoming, so the U.S. Geological Survey, in cooperation with the Wyoming Department of Agriculture and the Wyoming Department of Environmental Quality on behalf of the Wyoming Ground-water and Pesticides Strategy Committee, collected ground-water samples twice (during late summer/early fall and spring) from 296 wells during 1995-2006 to characterize pesticide occurrence. Sampling focused on the State's ground water that was mapped as the most vulnerable to pesticide contamination because of either inherent hydrogeologic sensitivity (for example, shallow water table or highly permeable aquifer materials) or a combination of sensitivity and associated land use.\r\n\r\nBecause of variations in reporting limits among different compounds and for the same compound during this study, pesticide detections were recensored to two different assessment levels to facilitate qualitative and quantitative examination of pesticide detection frequencies - a common assessment level (CAL) of 0.07 microgram per liter and an assessment level that differed by compound, referred to herein as a compound-specific assessment level (CSAL). Because of severe data censoring (fewer than 50 percent of the data are greater than laboratory reporting limits), categorical statistical methods were used exclusively for quantitative comparisons of pesticide detection frequencies between seasons and among various natural and anthropogenic (human-related) characteristics.\r\n\r\nOne or more pesticides were detected at concentrations greater than the CAL in water from about 23 percent of wells sampled in the fall and from about 22 percent of wells sampled in the spring. Mixtures of two or more pesticides occurred at concentrations greater than the CAL in about 9 percent of wells sampled in the fall and in about 10 percent of wells sampled in the spring. At least 74 percent of pesticides detected were classified as herbicides. Considering only detections using the CAL, triazine pesticides were detected much more frequently than all other pesticide classes, and the number of different pesticides classified as triazines was the largest of all classes.\r\n\r\nMore pesticides were detected at concentrations greater than the CSALs in water from wells sampled in the fall (28 different pesticides) than in the spring (21 different pesticides). Many pesticides were detected infrequently as nearly one-half of pesticides detected in the fall and spring at concentrations greater than the CSALs were detected only in one well. Using the CSALs for pesticides analyzed for in 11 or more wells, only five pesticides (atrazine, prometon, tebuthiuron, picloram, and 3,4-dichloroaniline, listed in order of decreasing detection frequency) were each detected in water from more than 5 percent of sampled wells. Atrazine was the pesticide detected most frequently at concentrations greater than the CSAL.\r\n\r\nConcentrations of detected pesticides generally were small (less than 1 microgram per liter), although many infrequent detections at larger concentrations were noted. All detected pesticide concentrations were smaller than U.S. Environmental Protection Agency (USEPA) drinking-water standards or applicable health advisories. Most concentrations were at least an order of magnitude smaller; however, many pesticides did not have standards or advisories.\r\n\r\nThe largest percentage of pesticide detections and the largest number of different pesticides detected were in samples from wells located in the Bighorn Basin and High Plains/ Casper Arch geographic areas of north-central and southeastern Wyoming. Prometon was the only pesticide detected in all eight geographic areas of the State.\r\n\r\nPesticides were detected much more frequently in samples from wells located in predominantly urban areas than in samples from wells located in predominantly agricultural or mixed areas. Pesticides were detected distinctly less often in sa","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095024","isbn":"9781411323599","collaboration":"Prepared in cooperation with the Wyoming Department of Agriculture and the Wyoming Department of Environmental Quality, on behalf of the Wyoming Ground-water and Pesticides Strategy Committee","usgsCitation":"Bartos, T.T., Eddy-Miller, C., and Hallberg, L.L., 2009, Occurrence of Pesticides in Ground Water of Wyoming, 1995-2006: U.S. Geological Survey Scientific Investigations Report 2009-5024, viii, 72 p., https://doi.org/10.3133/sir20095024.","productDescription":"viii, 72 p.","temporalStart":"1995-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":121078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5024.jpg"},{"id":12429,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5024/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,45 ], [ -104,45 ], [ -104,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af6e4b07f02db692ad8","contributors":{"authors":[{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":301877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":301878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallberg, Laura L. 0000-0001-9983-8003 lhallber@usgs.gov","orcid":"https://orcid.org/0000-0001-9983-8003","contributorId":1825,"corporation":false,"usgs":true,"family":"Hallberg","given":"Laura","email":"lhallber@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301876,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97373,"text":"sir20095067 - 2009 - Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"sir20095067","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-5067","title":"Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03","docAbstract":"In 2002-03, the U.S. Geological Survey collected samples of streambed sediment at 18 sites in the lower Chena River watershed for analysis of selected nutrients, traces elements, and organic compounds. The purpose of the project was to provide Federal, State, and local agencies as well as neighborhood committees, with information for consideration in plans to improve environmental conditions in the watershed. The exploratory sampling program included analysis of streambed sediment from the Chena River and Chena Slough, a tributary to the Chena River. Results were compared to streambed-sediment guidelines for the protection of aquatic life and to 2001-02 sediment data from Noyes Slough, a side channel of the lower Chena River.\r\n\r\nThe median total phosphorus concentration in Chena Slough sediment samples, 680 milligrams per kilogram (mg/kg), was two orders of magnitude greater than median total phosphorus concentration in Chena River sediment samples of 5.2 mg/kg. Median concentrations of chloride and sulfate also were greater in Chena Slough samples. Low concentrations of nitrate were detected in most of the Chena Slough samples; nitrate concentrations were below method reporting limits or not detected in Chena River sediment samples.\r\n\r\nStreambed-sediment samples were analyzed for 24 trace elements. Arsenic, nickel, and zinc were the only trace elements detected in concentrations that exceeded probable-effect levels for the protection of aquatic life. Concentrations of arsenic in Chena Slough samples ranged from 11 to 70 mg/kg and concentrations in most of the samples exceeded the probable-effect guideline for arsenic of 17 mg/kg. Arsenic concentrations in samples from the Chena River ranged from 9 to 12 mg/kg. The background level for arsenic in the lower Chena River watershed is naturally elevated because of significant concentrations of arsenic in local bedrock and ground water. Sources of elevated concentrations of zinc in one sample, and of nickel in two samples, are unknown. With the exception of elevated arsenic levels in samples from Chena Slough, the occurrence and concentration of trace elements in the streambed sediments of Chena Slough and Chena River were similar to those in Noyes Slough sediment.\r\n\r\nSediment samples were analyzed for 78 semivolatile organic compounds and 32 organochlorine pesticides and polychlorinated biphenyls (PCBs). Low concentrations of dimethylnaphthalene and p-Cresol were detected in most Chena Slough and Chena River sediment samples. The number of semivolatile organic compounds detected ranged from 5 to 21 in most Chena Slough sediment samples. In contrast, three or fewer semivolatile organic compounds were detected in Chena River sediment samples, most likely because chemical-matrix interference resulted in elevated reporting limits for organochlorine compounds in the Chena River samples. Low concentrations of fluoranthene, pyrene, and phenanthrene were detected in Chena Slough sediment. Relatively low concentrations of DDT or its degradation products, DDD and DDE, were detected in all Chena Slough samples. Concentrations of total DDT (DDT+DDD+DDE) in two Chena Slough sediment samples exceeded the effectsrange median aquatic-life criteria of 46.1 micrograms per kilogram (ug/kg). DDT concentrations in Chena River streambed-sediment samples were less than 20 ug/kg. Low concentrations of PCB were detected in two Chena Slough streambed-sediment samples. None of the concentrations of the polychlorinated biphenyls or semivolatile organic compounds for which the samples were analyzed exceeded available guidelines for the protection of aquatic life. With the exception of elevated total DDT in two Chena Slough samples, the occurrence and concentration of organochlorine compounds in Chena Slough and Chena River sediment were similar to those in samples collected from Noyes Slough in 2001-02.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095067","collaboration":"Prepared in cooperation with the Fairbanks Soil and Water Conservation District","usgsCitation":"Kennedy, B., and Hall, C.C., 2009, Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03: U.S. Geological Survey Scientific Investigations Report 2009-5067, vi, 29 p., https://doi.org/10.3133/sir20095067.","productDescription":"vi, 29 p.","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":195737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12432,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5067/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.66666666666666,64.5 ], [ -147.66666666666666,65 ], [ -147,65 ], [ -147,64.5 ], [ -147.66666666666666,64.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b066","contributors":{"authors":[{"text":"Kennedy, Ben W.","contributorId":104519,"corporation":false,"usgs":true,"family":"Kennedy","given":"Ben W.","affiliations":[],"preferred":false,"id":301887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Cassidee C.","contributorId":66372,"corporation":false,"usgs":true,"family":"Hall","given":"Cassidee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":301886,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97366,"text":"sir20095015 - 2009 - Estimating Locations of Perennial Streams in Idaho Using a Generalized Least-Squares Regression Model of 7-Day, 2-Year Low Flows","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20095015","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-5015","title":"Estimating Locations of Perennial Streams in Idaho Using a Generalized Least-Squares Regression Model of 7-Day, 2-Year Low Flows","docAbstract":"Many State and Federal agencies use information regarding the locations of streams having intermittent or perennial flow when making management and regulatory decisions. For example, the application of some Idaho water quality standards depends on whether streams are intermittent. Idaho Administrative Code defines an intermittent stream as one having a 7-day, 2-year low flow (7Q2) less than 0.1 ft3/s. However, there is a general recognition that the cartographic representation of perennial/intermittent status of streams on U.S. Geological Survey (USGS) topographic maps is not as accurate or consistent as desirable from one map to another, which makes broad management and regulatory assessments difficult and inconsistent. To help resolve this problem, the USGS has developed a methodology for predicting the locations of perennial streams based on regional generalized least-squares (GLS) regression equations for Idaho streams for the 7Q2 low-flow statistic. Using these regression equations, the 7Q2 streamflow may be estimated for naturally flowing streams in most areas in Idaho. The use of these equations in conjunction with a geographic information system (GIS) technique known as weighted flow accumulation allows for an automated and continuous estimation of 7Q2 streamflow at all points along stream reaches. The USGS has developed a GIS-based map of the locations of streams in Idaho with perennial flow based on a 7Q2 of 0.1 ft3/s and a transition zone of plus or minus 1 standard error. Idaho State cooperators plan to use this information to make regulatory and water-quality management decisions.\r\n\r\nOriginally, 7Q2 equations were developed for eight regions of similar hydrologic characteristics in the study area, using long-term data from 234 streamflow-gaging stations. Equations in five of the regions were revised based on spatial patterns observed in the initial perennial streams map and unrealistic behavior of the equations in extrapolation. The standard errors of prediction for the final equations ranged from a minimum of +75.0 to -42.9 percent in the central part of the study area to a maximum of +277 to -73.5 percent in the southern part of the study area. The equations are applicable only to unregulated, naturally-flowing streams and may produce unreliable results outside the range of explanatory variables used for equation development. Extrapolation outside the range of available data was necessary, however, to predict perennial flow initiation points and transition zones along stream reaches.\r\n\r\nThe map of perennial streams was evaluated by comparing predicted stream classifications with four independent datasets, including field observations by other government agencies. Overall, 81 percent of the comparison data points agreed with the USGS perennial streams model. Regions with the highest number of disagreements had a high percentage of mountainous and forested area with potential mountain front recharge zones, and regions with the highest agreements had a high percentage of low gradient, low elevation area. As a whole, the USGS model predicted a higher number of perennial streams than predictions made with the independent datasets. Some disagreements were due to poor site location coordinates, timing of the comparison site visits during unusually wet or dry years, discrepancies in classification criteria, and variable ground water contributions to flow in some areas.\r\n\r\nThe Idaho Department of Environmental Quality Beneficial Use Reconnaissance Program (BURP) dataset is considered the most representative dataset for comparison because it covered a range of climate conditions and the number of sites visited were consistent from year to year during the study period. Eighty-five percent of BURP comparison data points agreed with the USGS perennial streams model. Although site-specific flow data may be needed to correctly classify streams in some areas, this information rarely is available and is not always practical to o","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095015","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality and the Bureau of Reclamation","usgsCitation":"Wood, M.S., Rea, A., Skinner, K.D., and Hortness, J., 2009, Estimating Locations of Perennial Streams in Idaho Using a Generalized Least-Squares Regression Model of 7-Day, 2-Year Low Flows: U.S. Geological Survey Scientific Investigations Report 2009-5015, vi, 27 p., https://doi.org/10.3133/sir20095015.","productDescription":"vi, 27 p.","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":195400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12425,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5015/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,40.5 ], [ -120,49 ], [ -108,49 ], [ -108,40.5 ], [ -120,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc9e2","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":301856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rea, Alan","contributorId":41018,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","affiliations":[],"preferred":false,"id":301859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hortness, Jon 0000-0002-9809-2876 hortness@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-2876","contributorId":3601,"corporation":false,"usgs":true,"family":"Hortness","given":"Jon","email":"hortness@usgs.gov","affiliations":[],"preferred":true,"id":301858,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97371,"text":"sir20095009 - 2009 - Estimation of Streamflow Characteristics for Charles M. Russell National Wildlife Refuge, Northeastern Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20095009","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-5009","title":"Estimation of Streamflow Characteristics for Charles M. Russell National Wildlife Refuge, Northeastern Montana","docAbstract":"Charles M. Russell National Wildlife Refuge (CMR) encompasses about 1.1 million acres (including Fort Peck Reservoir on the Missouri River) in northeastern Montana. To ensure that sufficient streamflow remains in the tributary streams to maintain the riparian corridors, the U.S. Fish and Wildlife Service is negotiating water-rights issues with the Reserved Water Rights Compact Commission of Montana. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, conducted a study to gage, for a short period, selected streams that cross CMR, and analyze data to estimate long-term streamflow characteristics for CMR. The long-term streamflow characteristics of primary interest include the monthly and annual 90-, 80-, 50-, and 20-percent exceedance streamflows and mean streamflows (Q.90, Q.80, Q.50, Q.20, and QM, respectively), and the 1.5-, 2-, and 2.33- year peak flows (PK1.5, PK2, and PK2.33, respectively).\r\n\r\nThe Regional Adjustment Relationship (RAR) was investigated for estimating the monthly and annual Q.90, Q.80, Q.50, Q.20, and QM, and the PK1.5, PK2, and PK2.33 for the short-term CMR gaging stations (hereinafter referred to as CMR stations). The RAR was determined to provide acceptable results for estimating the long-term Q.90, Q.80, Q.50, Q.20, and QM on a monthly basis for the months of March through June, and also on an annual basis. For the months of September through January, the RAR regression equations did not provide acceptable results for any long-term streamflow characteristic. For the month of February, the RAR regression equations provided acceptable results for the long-term Q.50 and QM, but poor results for the long-term Q.90, Q.80, and Q.20. For the months of July and August, the RAR provided acceptable results for the long-term Q.50, Q.20, and QM, but poor results for the long-term Q.90 and Q.80. Estimation coefficients were developed for estimating the long-term streamflow characteristics for which the RAR did not provide acceptable results. The RAR also was determined to provide acceptable results for estimating the PK1.5., PK2, and PK2.33 for the three CMR stations that lacked suitable peak-flow records.\r\n\r\nMethods for estimating streamflow characteristics at ungaged sites also were derived. Regression analyses that relate individual streamflow characteristics to various basin and climatic characteristics for gaging stations were performed to develop regression equations to estimate streamflow characteristics at ungaged sites. Final equations for the annual Q.50, Q.20, and QM are reported. Acceptable equations also were developed for estimating QM for the months of February, March, April, June, and July, and Q.50, Q.20, and QM on an annual basis. However, equations for QM for the months of February, March, April, June, and July were determined to be less consistent and reliable than the use of estimation coefficients applied to the regression equation results for the annual QM. Acceptable regression equations also were developed for the PK1.5, PK2, and PK2.33.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095009","isbn":"9781411323520","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Sando, S.K., Morgan, T.J., Dutton, D., and McCarthy, P., 2009, Estimation of Streamflow Characteristics for Charles M. Russell National Wildlife Refuge, Northeastern Montana: U.S. Geological Survey Scientific Investigations Report 2009-5009, vi, 60 p., https://doi.org/10.3133/sir20095009.","productDescription":"vi, 60 p.","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":195034,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12430,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5009/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,46 ], [ -111,49 ], [ -104,49 ], [ -104,46 ], [ -111,46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fbba8","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Timothy J. tmorgan@usgs.gov","contributorId":2505,"corporation":false,"usgs":true,"family":"Morgan","given":"Timothy","email":"tmorgan@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":301881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutton, DeAnn M. ddutton@usgs.gov","contributorId":20762,"corporation":false,"usgs":true,"family":"Dutton","given":"DeAnn M.","email":"ddutton@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarthy, Peter 0000-0002-2396-7463 pmccarth@usgs.gov","orcid":"https://orcid.org/0000-0002-2396-7463","contributorId":2504,"corporation":false,"usgs":true,"family":"McCarthy","given":"Peter","email":"pmccarth@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301880,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97368,"text":"ofr20091035 - 2009 - Development of a probabilistic assessment methodology for evaluation of carbon dioxide storage","interactions":[],"lastModifiedDate":"2019-08-20T08:25:16","indexId":"ofr20091035","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-1035","title":"Development of a probabilistic assessment methodology for evaluation of carbon dioxide storage","docAbstract":"<p>This report describes a probabilistic assessment methodology developed by the U.S. Geological Survey (USGS) for evaluation of the resource potential for storage of carbon dioxide (CO<sub>2</sub>) in the subsurface of the United States as authorized by the Energy Independence and Security Act (Public Law 110-140, 2007). The methodology is based on USGS assessment methodologies for oil and gas resources created and refined over the last 30 years. The resource that is evaluated is the volume of pore space in the subsurface in the depth range of 3,000 to 13,000 feet that can be described within a geologically defined storage assessment unit consisting of a storage formation and an enclosing seal formation. Storage assessment units are divided into physical traps (PTs), which in most cases are oil and gas reservoirs, and the surrounding saline formation (SF), which encompasses the remainder of the storage formation. The storage resource is determined separately for these two types of storage. Monte Carlo simulation methods are used to calculate a distribution of the potential storage size for individual PTs and the SF. To estimate the aggregate storage resource of all PTs, a second Monte Carlo simulation step is used to sample the size and number of PTs. The probability of successful storage for individual PTs or the entire SF, defined in this methodology by the likelihood that the amount of CO<sub>2</sub> stored will be greater than a prescribed minimum, is based on an estimate of the probability of containment using present-day geologic knowledge. The report concludes with a brief discussion of needed research data that could be used to refine assessment methodologies for CO<sub>2</sub> sequestration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091035","usgsCitation":"Burruss, R.A., Brennan, S.T., Freeman, P., Merrill, M., Ruppert, L.F., Becker, M.F., Herkelrath, W.N., Kharaka, Y.K., Neuzil, C.E., Swanson, S.M., Cook, T.A., Klett, T., Nelson, P.H., and Schenk, C.J., 2009, Development of a probabilistic assessment methodology for evaluation of carbon dioxide storage: U.S. Geological Survey Open-File Report 2009-1035, viii, 81 p., https://doi.org/10.3133/ofr20091035.","productDescription":"viii, 81 p.","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196381,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12427,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1035/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697530","contributors":{"authors":[{"text":"Burruss, Robert A. 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":558,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":301861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":301871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":48256,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[],"preferred":false,"id":301873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Becker, Mark F.","contributorId":40180,"corporation":false,"usgs":true,"family":"Becker","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":301872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herkelrath, William N. 0000-0002-6149-5524 wnherkel@usgs.gov","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":2612,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","email":"wnherkel@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":301870,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":301868,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":301869,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301863,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301874,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":301865,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301867,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":301866,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":97349,"text":"ds434 - 2009 - RESIS-II: An Updated Version of the Original Reservoir Sedimentation Survey Information System (RESIS) Database","interactions":[],"lastModifiedDate":"2012-02-02T00:15:10","indexId":"ds434","displayToPublicDate":"2009-03-14T00:00:00","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":"434","title":"RESIS-II: An Updated Version of the Original Reservoir Sedimentation Survey Information System (RESIS) Database","docAbstract":"The Reservoir Sedimentation Survey Information System (RESIS) database, originally compiled by the Soil Conservation Service (now the Natural Resources Conservation Service) in collaboration with the Texas Agricultural Experiment Station, is the most comprehensive compilation of data from reservoir sedimentation surveys throughout the conterminous United States (U.S.). The database is a cumulative historical archive that includes data from as early as 1755 and as late as 1993. The 1,823 reservoirs included in the database range in size from farm ponds to the largest U.S. reservoirs (such as Lake Mead). Results from 6,617 bathymetric surveys are available in the database. \r\n\r\nThis Data Series provides an improved version of the original RESIS database, termed RESIS-II, and a report describing RESIS-II. The RESIS-II relational database is stored in Microsoft Access and includes more precise location coordinates for most of the reservoirs than the original database but excludes information on reservoir ownership. RESIS-II is anticipated to be a template for further improvements in the database.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds434","usgsCitation":"Ackerman, K.V., Mixon, D.M., Sundquist, E.T., Stallard, R.F., Schwarz, G., and Stewart, D.W., 2009, RESIS-II: An Updated Version of the Original Reservoir Sedimentation Survey Information System (RESIS) Database (Version 1.0): U.S. Geological Survey Data Series 434, Report: iv, 22 p.; Database (mdb), https://doi.org/10.3133/ds434.","productDescription":"Report: iv, 22 p.; Database (mdb)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/ds434/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db649edd","contributors":{"authors":[{"text":"Ackerman, Katherine V.","contributorId":22061,"corporation":false,"usgs":true,"family":"Ackerman","given":"Katherine","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":301786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mixon, David M.","contributorId":62704,"corporation":false,"usgs":true,"family":"Mixon","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":301787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sundquist, Eric T. 0000-0002-1449-8802 esundqui@usgs.gov","orcid":"https://orcid.org/0000-0002-1449-8802","contributorId":1922,"corporation":false,"usgs":true,"family":"Sundquist","given":"Eric","email":"esundqui@usgs.gov","middleInitial":"T.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":301783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":301784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":301782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, David W. dwstewar@usgs.gov","contributorId":2390,"corporation":false,"usgs":true,"family":"Stewart","given":"David","email":"dwstewar@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":301785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97364,"text":"ds412 - 2009 - Estimated Perennial Streams of Idaho and Related Geospatial Datasets","interactions":[],"lastModifiedDate":"2013-06-04T10:53:56","indexId":"ds412","displayToPublicDate":"2009-03-14T00:00:00","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":"412","title":"Estimated Perennial Streams of Idaho and Related Geospatial Datasets","docAbstract":"The perennial or intermittent status of a stream has bearing on many regulatory requirements. Because of changing technologies over time, cartographic representation of perennial/intermittent status of streams on U.S. Geological Survey (USGS) topographic maps is not always accurate and (or) consistent from one map sheet to another. Idaho Administrative Code defines an intermittent stream as one having a 7-day, 2-year low flow (7Q2) less than 0.1 cubic feet per second. To establish consistency with the Idaho Administrative Code, the USGS developed regional regression equations for Idaho streams for several low-flow statistics, including 7Q2. Using these regression equations, the 7Q2 streamflow may be estimated for naturally flowing streams anywhere in Idaho to help determine perennial/intermittent status of streams. Using these equations in conjunction with a Geographic Information System (GIS) technique known as weighted flow accumulation allows for an automated and continuous estimation of 7Q2 streamflow at all points along a stream, which in turn can be used to determine if a stream is intermittent or perennial according to the Idaho Administrative Code operational definition. \n\nThe selected regression equations were applied to create continuous grids of 7Q2 estimates for the eight low-flow regression regions of Idaho. By applying the 0.1 ft3/s criterion, the perennial streams have been estimated in each low-flow region. Uncertainty in the estimates is shown by identifying a 'transitional' zone, corresponding to flow estimates of 0.1 ft3/s plus and minus one standard error. \n\nConsiderable additional uncertainty exists in the model of perennial streams presented in this report. The regression models provide overall estimates based on general trends within each regression region. These models do not include local factors such as a large spring or a losing reach that may greatly affect flows at any given point. Site-specific flow data, assuming a sufficient period of record, generally would be considered to represent flow conditions better at a given site than flow estimates based on regionalized regression models. The geospatial datasets of modeled perennial streams are considered a first-cut estimate, and should not be construed to override site-specific flow data.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds412","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality and the Bureau of Reclamation","usgsCitation":"Rea, A., and Skinner, K.D., 2009, Estimated Perennial Streams of Idaho and Related Geospatial Datasets: U.S. Geological Survey Data Series 412, Report: vi, 33 p.; Appendixes; Metadata, https://doi.org/10.3133/ds412.","productDescription":"Report: vi, 33 p.; Appendixes; Metadata","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":273178,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds412_perennialstreamsevents.xml"},{"id":273177,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds412_archydrohucs.xml"},{"id":195596,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12423,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/412/","linkFileType":{"id":5,"text":"html"}},{"id":273176,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds412_archydroglobal.xml"},{"id":273180,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds412_statewidelayers.xml"},{"id":273181,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds412_syntheticperennialstreams.xml"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,40.5 ], [ -120,49 ], [ -108,49 ], [ -108,40.5 ], [ -120,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdcd4","contributors":{"authors":[{"text":"Rea, Alan","contributorId":41018,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","affiliations":[],"preferred":false,"id":301852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97356,"text":"sir20085069 - 2009 - Estimation of selenium loads entering the south arm of Great Salt Lake, Utah, from May 2006 through March 2008","interactions":[],"lastModifiedDate":"2017-01-25T11:55:21","indexId":"sir20085069","displayToPublicDate":"2009-03-14T00:00:00","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":"2008-5069","title":"Estimation of selenium loads entering the south arm of Great Salt Lake, Utah, from May 2006 through March 2008","docAbstract":"Discharge and water-quality data collected from six streamflow-gaging stations were used in combination with the LOADEST software to provide an estimate of total (dissolved + particulate) selenium (Se) load to the south arm of Great Salt Lake (GSL) from May 2006 through March 2008. Total estimated Se load to GSL during this time period was 2,370 kilograms (kg). The 12-month estimated Se load to GSL for May 1, 2006, to April 30, 2007, was 1,560 kg. During the 23-month monitoring period, inflows from the Kennecott Utah Copper Corporation (KUCC) Drain and Bear River outflow contributed equally to the largest proportion of total Se load to GSL, accounting for 49 percent of the total Se load. Five instantaneous discharge measurements at three sites along the railroad causeway indicate a consistent net loss of Se mass from the south arm to the north arm of GSL (mean = 2.4 kg/day, n = 5). Application of the average daily loss rate equates to annual Se loss rate to the north arm of 880 kg (56 percent of the annual Se input to the south arm). The majority of Se in water entering GSL is in the dissolved (less than 0.45 micron) state and ranges in concentration from 0.06 to 35.7 micrograms per liter (ug/L). Particulate Se concentration ranged from less than 0.05 to 2.5 ug/L. Except for the KUCC Drain streamflow-gaging station, dissolved (less than 0.45 um) inflow samples contain an average of 21 percent selenite (SeO32-) during two sampling events (May 2006 and 2007).\r\n\r\nSelenium concentration in water samples collected from four monitoring sites within GSL during May 2006 through August 2007 were used to understand how the cumulative Se load was being processed by various biogeochemical processes within the lake. On the basis of the Mann-Kendall test results, changes in dissolved Se concentration at the four monitoring sites indicate a statistically significant (90-percent confidence interval) upward trend in Se concentration over the 16-month monitoring period. Furthermore, the upward trend at three of the four GSL sites also was significant at the 95-percent confidence interval. Given the large amount of Se removal from GSL of greater than 1,900 kg/year by gaseous flux and permanent sedimentation, the observed increase in both dissolved (less than 0.45 micron) and total (dissolved + particulate) Se in the open-water monitoring sites indicates additional, unquantified source(s) of Se are contributing substantial masses of Se load to the south arm of GSL. Potential source(s) of this unmeasured Se load could include (1) Se loads entering GSL from unmeasured surface inflows; (2) ground-water discharge to GSL; (3) wind-blown dust that is deposited directly on the lake surface; (4) wet and dry atmospheric deposition falling directly on the lake surface; and (5) lake sediment pore-water diffusion into the overlying water column. Electrical resistivity surveys in the south part of GSL indicate areas of potential ground-water discharge to the open water of GSL and elevated (exceeding 10,000 ug/L) Se concentrations have been previously measured in ground water within 1.6 kilometers of the south shore of GSL.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085069","collaboration":"Prepared in cooperation with the Utah Department of Environmental Quality/Division of Water Quality, Utah Department of Natural Resources/Division of Wildlife Resources, and the University of Utah","usgsCitation":"Naftz, D.L., Johnson, W.P., Freeman, M.L., Beisner, K., Diaz, X., and Cross, V.A., 2009, Estimation of selenium loads entering the south arm of Great Salt Lake, Utah, from May 2006 through March 2008: U.S. Geological Survey Scientific Investigations Report 2008-5069, Report: vi, 41 p.; Appendix A (ZIP file), https://doi.org/10.3133/sir20085069.","productDescription":"Report: vi, 41 p.; Appendix A (ZIP file)","numberOfPages":"50","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-05-01","temporalEnd":"2008-03-31","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":195540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12415,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5069/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113,40.5 ], [ -113,41.5 ], [ -111.75,41.5 ], [ -111.75,40.5 ], [ -113,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbcc2","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":301811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Michael L. mfreeman@usgs.gov","contributorId":1042,"corporation":false,"usgs":true,"family":"Freeman","given":"Michael","email":"mfreeman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":301807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beisner, Kimberly","contributorId":85284,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","affiliations":[],"preferred":false,"id":301809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diaz, Ximena","contributorId":71286,"corporation":false,"usgs":true,"family":"Diaz","given":"Ximena","email":"","affiliations":[],"preferred":false,"id":301808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, VeeAnn A.","contributorId":103311,"corporation":false,"usgs":true,"family":"Cross","given":"VeeAnn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301810,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97350,"text":"pp1759 - 2009 - Post-Miocene Right Separation on the San Gabriel and Vasquez Creek Faults, with Supporting Chronostratigraphy, Western San Gabriel Mountains, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"pp1759","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1759","title":"Post-Miocene Right Separation on the San Gabriel and Vasquez Creek Faults, with Supporting Chronostratigraphy, Western San Gabriel Mountains, California","docAbstract":"The right lateral San Gabriel Fault Zone in southern California extends from the northwestern corner of the Ridge Basin southeastward to the eastern end of the San Gabriel Mountains. It bifurcates to the southeast in the northwestern San Gabriel Mountains. The northern and older branch curves eastward in the range interior. The southern younger branch, the Vasquez Creek Fault, curves southeastward to merge with the Sierra Madre Fault Zone, which separates the San Gabriel Mountains from the northern Los Angeles Basin margin. An isolated exposure of partly macrofossiliferous nearshore shallow-marine sandstone, designated the Gold Canyon beds, is part of the southwest wall of the fault zone 5.5 km northwest of the bifurcation. These beds contain multiple subordinate breccia-conglomerate lenses and are overlain unconformably by folded Pliocene-Pleistocene Saugus Formation fanglomerate. The San Gabriel Fault Zone cuts both units. \r\n\r\nMarine macrofossils from the Gold Canyon beds give an age of 5.2+-0.3 Ma by 87Sr/86Sr analyses. Magnetic polarity stratigraphy dates deposition of the overlying Saugus Formation to between 2.6 Ma and 0.78 Ma. Distinctive metaplutonic rocks of the Mount Lowe intrusive suite in the San Gabriel Range are the source of certain clasts in both the Gold Canyon beds and Saugus Formation. Angular clasts of nondurable Paleocene sandstone also occur in the Gold Canyon beds. The large size and angularity of some of the largest of both clast types in breccia-conglomerate lenses of the beds suggest landslides or debris flows from steep terrain. Sources of Mount Lowe clasts, originally to the north or northeast, are now displaced southeastward by faulting and are located between the San Gabriel and Vasquez Creek faults, indicating as much as 12+-2 km of post-Miocene Vasquez Creek Fault right separation, in accord with some prior estimates. Post-Miocene right slip thus transferred onto the Vasquez Creek Fault southeast of the bifurcation. The right separation on the Vasquez Creek Fault adds to the generally accepted 22-23 km of middle-late Miocene right separation established for the San Gabriel Fault east of the bifurcation, resulting in total right separation of 34-35 km northwest of the bifurcation. \r\n\r\nClast sizes and lithologies in Saugus Formation deformed alluvial fan deposits in the Gold and Little Tujunga Canyons area indicate that alluvial stream flow was from the north or north-northeast. The alluvial fan complex is beheaded at the San Gabriel Fault Zone, and no correlative deposits have been found north of the fault zone. Likely sources of several distinctive clast types are east of the bifurcation and north of the Vasquez Creek Fault. Combining these data with right slip caused by the 34 deg +-6 deg of clockwise local block rotation suggests that post-Saugus Formation (<2.6 to 0.78 Ma) right separation along the fault zone is 4+-2 km. \r\n\r\nThe fossils, lithology, and age of the Gold Canyon beds correlate with the basal Pico Formation. The beds presumably connected southward or southwestward to a more open marine setting. A search for correlative strata to the south and southwest found that some strata previously mapped as Towsley Formation correlate with the Modelo Formation. Oyster spat in some Modelo Formation beds are the first recorded fossil occurrences and are especially remarkable because of associations with Miocene bathyal benthic foraminifers, planktonic calcareous nannofossils, and diatoms. Topanga Group basalt resting on basement rocks between Little and Big Tujunga Canyons gives an age of 16.14+-0.05 Ma from 40Ar/39Ar analysis. Improved understanding of the upper Miocene stratigraphy indicates large early movement on the eastern Santa Susana Fault at about 7-6 Ma.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1759","isbn":"9781411323308","usgsCitation":"Beyer, L.A., McCulloh, T.H., Denison, R.E., Morin, R.W., Enrico, R.J., Barron, J.A., and Fleck, R.J., 2009, Post-Miocene Right Separation on the San Gabriel and Vasquez Creek Faults, with Supporting Chronostratigraphy, Western San Gabriel Mountains, California (Version 1.0): U.S. Geological Survey Professional Paper 1759, iv, 44 p., https://doi.org/10.3133/pp1759.","productDescription":"iv, 44 p.","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":196336,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1759.jpg"},{"id":12409,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1759/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119,34 ], [ -119,35 ], [ -117.5,35 ], [ -117.5,34 ], [ -119,34 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683afc","contributors":{"authors":[{"text":"Beyer, Larry A. lbeyer@usgs.gov","contributorId":2819,"corporation":false,"usgs":true,"family":"Beyer","given":"Larry","email":"lbeyer@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":301790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCulloh, Thane H.","contributorId":100450,"corporation":false,"usgs":true,"family":"McCulloh","given":"Thane","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":301793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denison, Rodger E.","contributorId":42994,"corporation":false,"usgs":true,"family":"Denison","given":"Rodger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":301791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morin, Ronald W.","contributorId":106182,"corporation":false,"usgs":true,"family":"Morin","given":"Ronald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":301794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enrico, Roy J.","contributorId":53913,"corporation":false,"usgs":true,"family":"Enrico","given":"Roy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":301792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":301789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":301788,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":97355,"text":"sir20095045 - 2009 - Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003","interactions":[],"lastModifiedDate":"2018-05-13T12:11:41","indexId":"sir20095045","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-5045","title":"Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003","docAbstract":"<p>Aerial surveys of all known sea otter (Enhydra lutris) habitat in Southeast Alaska (SE AK) in 2002-2003 indicated a population size of 8,949 otters [Standard Error (SE) = 899] at an average density of 0.92 otters per square kilometer. These findings on sea otter distribution and abundance were compared to results from several previous surveys. Sea otters have expanded their range beyond the outer coast of SE AK and currently occupy inside waters such as Glacier Bay and Sumner Strait. This range expansion, along with archeological evidence, supports the hypothesis that sea otters are capable of colonizing inside waters in SE AK. Inside Glacier Bay National Park and Preserve, in northern SE AK, sea otter abundance has increased from 5 in 1995 to 1,266 (SE = 196) in 2002, more than doubling on an average annual basis, indicating immigration and reproduction as factors contributing to population growth. In the remainder of northern SE AK, the estimated abundance has declined from 2,295 in 1987 to 1,838 (SE = 307) in 2002. In southern SE AK, the abundance of sea otters increased from 2,167 in 1988 to 5,845 (SE = 821) in 2003. Overall, population growth rates for sea otters in SE AK between 1987 and 2003 are much lower than rates from previous studies and were unexpected given the amount of unoccupied habitat available in SE AK. Divergent population trajectories were evident between the southern (6.6 percent per year) and northern areas of SE AK (2.0 percent per year). These differences suggest variation in reproductive or survival rates between the areas. Harvest levels between 1989 and 2003 may have had a measurable effect on sea otter populations in SE AK. Available data on age and sex specific fecundity and survival rates could be used to develop age- and sex-structured population matrix models to help guide management and conservation of sea otter populations.</p>","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095045","issn":"2328-031X","collaboration":"Jointly supported by the U.S. Geological Survey, U.S. Fish and Wildlife Service, and Glacier Bay National Park and Preserve","usgsCitation":"Esslinger, G.G., and Bodkin, J.L., 2009, Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003: U.S. Geological Survey Scientific Investigations Report 2009-5045, 19 p., https://doi.org/10.3133/sir20095045.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":124867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5045.jpg"},{"id":12414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5045/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6976ce","contributors":{"authors":[{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":301805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":301804,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97348,"text":"ofr20091043 - 2009 - Spring and Summer Spatial Distribution of Endangered Juvenile Lost River and Shortnose Suckers in Relation to Environmental Variables in Upper Klamath Lake, Oregon: 2007 Annual Report","interactions":[],"lastModifiedDate":"2012-02-02T00:14:25","indexId":"ofr20091043","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-1043","title":"Spring and Summer Spatial Distribution of Endangered Juvenile Lost River and Shortnose Suckers in Relation to Environmental Variables in Upper Klamath Lake, Oregon: 2007 Annual Report","docAbstract":"Lost River sucker Deltistes luxatus and shortnose sucker Chasmistes brevirostris were listed as endangered in 1988 for a variety of reasons including apparent recruitment failure. Upper Klamath Lake, Oregon, and its tributaries are considered the most critical remaining habitat for these two species. Age-0 suckers are often abundant in Upper Klamath Lake throughout the summer months, but catches decline dramatically between late August and early September each year, and age-1 and older subadult suckers are rare. These rapid declines in catch rates and a lack of substantial recruitment into adult sucker populations in recent years suggests sucker populations experience high mortality between their first summer and first spawn. A lack of optimal rearing habitat may exacerbate juvenile sucker mortality or restrict juvenile growth or development. \r\n\r\nIn 2007, we continued research on juvenile sucker habitat use begun by the U.S. Geological Survey (USGS) in 2001. Age-0 catch rates in 2006 were more than an order of magnitude greater than in previous years, which prompted us to refocus our research from age-0 suckers to age-1 sucker distributions and habitat use. We took a two-phased approach to our research in 2007 that included preliminary spring sampling and intense summer sampling components. Spring sampling was a pilot study designed to gather baseline data on the distribution of age-1 suckers as they emerge from winter in shoreline environments throughout Upper Klamath Lake (Chapter 1). Whereas, summer sampling was designed to quantitatively estimate the influence of environmental variables on age-0 and age-1 sucker distribution throughout Upper Klamath Lake, while accounting for imperfect detection (Chapter 2). In addition to these two components, we began a project to evaluate passive integrated transponder (PIT) tag loss and the effects of PIT tags on mortality of age-1 Lost River suckers (Chapter 3).\r\n\r\nThe spring pilot study built the foundation for future research on post-wintering juvenile sucker distribution and habitat use studies. Only 34 percent of nets set during spring sampling (April 2 to May 29) caught juvenile suckers and catch rates were low (0.038 to 0.405 suckers/hour) and widely distributed throughout shoreline areas. Of 13 suckers sacrificed for identification, only one was determined to be a Lost River sucker. All others were either shortnose suckers or Klamath largescale Catostomus snyderi suckers, but were not identified to species. Suckers caught during the spring averaged 93 +- 2 millimeter (mm) standard length (SL; mean +- SE) and were all estimated to be a year old. Spring catches did not vary in respect to nearness to tributary streams or rivers, substrate type, area of the lake, or distance from shore. On the other hand, a higher percentage of nets caught at least one sucker when they were set within 50 meters (m) of a wetland edge (60 percent) compared to nets set 200 m from a wetland (30 percent) or in other shoreline areas (29 percent). Our results also suggest that in the spring age-1 suckers use habitats less than 2 m deep at a greater frequency than deeper environments, a trend that was reversed in the summer. \r\n\r\nTemporal trends in summer catch rates of age-0 suckers generally were similar to those in previous years, with a peak during the week of August 5. In contrast, age-1 sucker catches were relatively high until the week of July 16, but rapidly declined each week for the rest of the sampling season. Age-0 suckers were caught at higher rates than age-1 suckers though the summer, but both age groups were captured at a similar percentage of sites (age-0, 26.5 percent and age-1, 27.4 percent). Age-0 catches were composed of slightly more Lost River suckers (53.2 percent) than shortnose suckers (42.1 percent). In contrast, most age-1 suckers were shortnose suckers (72.7 percent). \r\n\r\nOur summer sampling indicates age-0 suckers within Upper Klamath Lake primarily are habitat generalists, whe","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091043","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Burdick, S.M., VanderKooi, S., and Anderson, G.O., 2009, Spring and Summer Spatial Distribution of Endangered Juvenile Lost River and Shortnose Suckers in Relation to Environmental Variables in Upper Klamath Lake, Oregon: 2007 Annual Report: U.S. Geological Survey Open-File Report 2009-1043, iv, 57 p., https://doi.org/10.3133/ofr20091043.","productDescription":"iv, 57 p.","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":195758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12406,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1043/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4a00","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":301779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanderKooi, Scott P.","contributorId":106584,"corporation":false,"usgs":true,"family":"VanderKooi","given":"Scott P.","affiliations":[],"preferred":false,"id":301781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Greer O.","contributorId":24459,"corporation":false,"usgs":true,"family":"Anderson","given":"Greer","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":301780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97347,"text":"sir20085184 - 2009 - Processing, Analysis, and General Evaluation of Well-Driller Logs for Estimating Hydrogeologic Parameters of the Glacial Sediments in a Ground-Water Flow Model of the Lake Michigan Basin","interactions":[],"lastModifiedDate":"2016-05-09T11:15:34","indexId":"sir20085184","displayToPublicDate":"2009-03-14T00:00:00","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":"2008-5184","title":"Processing, Analysis, and General Evaluation of Well-Driller Logs for Estimating Hydrogeologic Parameters of the Glacial Sediments in a Ground-Water Flow Model of the Lake Michigan Basin","docAbstract":"<p>In 2005, the U.S. Geological Survey began a pilot study for the National Assessment of Water Availability and Use Program to assess the availability of water and water use in the Great Lakes Basin. Part of the study involves constructing a ground-water flow model for the Lake Michigan part of the Basin. Most ground-water flow occurs in the glacial sediments above the bedrock formations; therefore, adequate representation by the model of the horizontal and vertical hydraulic conductivity of the glacial sediments is important to the accuracy of model simulations. This work processed and analyzed well records to provide the hydrogeologic parameters of horizontal and vertical hydraulic conductivity and ground-water levels for the model layers used to simulated ground-water flow in the glacial sediments. The methods used to convert (1) lithology descriptions into assumed values of horizontal and vertical hydraulic conductivity for entire model layers, (2) aquifer-test data into point values of horizontal hydraulic conductivity, and (3) static water levels into water-level calibration data are presented. A large data set of about 458,000 well driller well logs for monitoring, observation, and water wells was available from three statewide electronic data bases to characterize hydrogeologic parameters. More than 1.8 million records of lithology from the well logs were used to create a lithologic-based representation of horizontal and vertical hydraulic conductivity of the glacial sediments. Specific-capacity data from about 292,000 well logs were converted into horizontal hydraulic conductivity values to determine specific values of horizontal hydraulic conductivity and its aerial variation. About 396,000 well logs contained data on ground-water levels that were assembled into a water-level calibration data set. A lithology-based distribution of hydraulic conductivity was created by use of a computer program to convert well-log lithology descriptions into aquifer or nonaquifer categories and to calculate equivalent horizontal and vertical hydraulic conductivities (K and KZ, respectively) for each of the glacial layers of the model. The K was based on an assumed value of 100 ft/d (feet per day) for aquifer materials and 1 ft/d for nonaquifer materials, whereas the equivalent KZ was based on an assumed value of 10 ft/d for aquifer materials and 0.001 ft/d for nonaquifer materials. These values were assumed for convenience to determine a relative contrast between aquifer and nonaquifer materials. The point values of K and KZ from wells that penetrate at least 50 percent of a model layer were interpolated into a grid of values. The K distribution was based on an inverse distance weighting equation that used an exponent of 2. The KZ distribution used inverse distance weighting with an exponent of 4 to represent the abrupt change in KZ that commonly occurs between aquifer and nonaquifer materials. The values of equivalent hydraulic conductivity for aquifer sediments needed to be adjusted to actual values in the study area for the ground-water flow modeling. The specific-capacity data (discharge, drawdown, and time data) from the well logs were input to a modified version of the Theis equation to calculate specific capacity based horizontal hydraulic conductivity values (KSC). The KSC values were used as a guide for adjusting the assumed value of 100 ft/d for aquifer deposits to actual values used in the model. Water levels from well logs were processed to improve reliability of water levels for comparison to simulated water levels in a model layer during model calibration. Water levels were interpolated by kriging to determine a composite water-level surface. The difference between the kriged surface and individual water levels was used to identify outlier water levels. Examination of the well-log lithology data in map form revealed that the data were not only useful for model input, but also were useful for understanding th</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085184","isbn":"9781411323025","usgsCitation":"Arihood, L.D., 2009, Processing, Analysis, and General Evaluation of Well-Driller Logs for Estimating Hydrogeologic Parameters of the Glacial Sediments in a Ground-Water Flow Model of the Lake Michigan Basin: U.S. Geological Survey Scientific Investigations Report 2008-5184, vi, 26 p., https://doi.org/10.3133/sir20085184.","productDescription":"vi, 26 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":195103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20085184.GIF"},{"id":12405,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5184/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.5,41.5 ], [ -90.5,47 ], [ -82,47 ], [ -82,41.5 ], [ -90.5,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64aedb","contributors":{"authors":[{"text":"Arihood, Leslie D. 0000-0001-5792-3699 larihood@usgs.gov","orcid":"https://orcid.org/0000-0001-5792-3699","contributorId":2357,"corporation":false,"usgs":true,"family":"Arihood","given":"Leslie","email":"larihood@usgs.gov","middleInitial":"D.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301778,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97369,"text":"sir20095057 - 2009 - Tritium/Helium-3 Apparent Ages of Shallow Ground Water, Portland Basin, Oregon, 1997-98","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20095057","displayToPublicDate":"2009-03-14T00:00:00","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":"2009-5057","title":"Tritium/Helium-3 Apparent Ages of Shallow Ground Water, Portland Basin, Oregon, 1997-98","docAbstract":"Water samples for tritium/helium-3 age dating were collected from 12 shallow monitoring wells in the Portland basin, Oregon, in 1997, and again in 1998. Robust tritium/helium-3 apparent (piston-flow) ages were obtained for water samples from 10 of the 12 wells; apparent ages ranged from 1.1 to 21.2 years. Method precision was demonstrated by close agreement between data collected in 1997 and 1998. Tritium/helium-3 apparent ages generally increase with increasing depth below the water table, and agree well with age/depth relations based on assumptions of effects of recharge rate on vertical ground-water movement.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095057","collaboration":"Prepared in cooperation with the City of Portland Bureau of Environmental Services","usgsCitation":"Hinkle, S.R., 2009, Tritium/Helium-3 Apparent Ages of Shallow Ground Water, Portland Basin, Oregon, 1997-98: U.S. Geological Survey Scientific Investigations Report 2009-5057, iv, 9 p., https://doi.org/10.3133/sir20095057.","productDescription":"iv, 9 p.","additionalOnlineFiles":"Y","temporalStart":"1997-01-01","temporalEnd":"1998-12-31","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":195401,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5057/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.83333333333333,45.416666666666664 ], [ -122.83333333333333,45.666666666666664 ], [ -122.5,45.666666666666664 ], [ -122.5,45.416666666666664 ], [ -122.83333333333333,45.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db6243a2","contributors":{"authors":[{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301875,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259264,"text":"tm11A3 - 2009 - Federal standards and procedures for the National Watershed Boundary Dataset (WBD)","interactions":[],"lastModifiedDate":"2026-04-27T19:38:11.952423","indexId":"tm11A3","displayToPublicDate":"2009-03-11T11:09:46","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-A3","displayTitle":"Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)","title":"Federal standards and procedures for the National Watershed Boundary Dataset (WBD)","docAbstract":"<p>The Watershed Boundary Dataset (WBD) is a seamless, national hydrologic unit dataset developed using the guidelines and specifications outlined in this document. A hydrologic unit defines the areal extent of surface-water drainage to an outlet point on a dendritic stream network or to outlet points where the stream network is not dendritic. A hydrologic unit may represent all or only part of the total drainage area to the outlet point so that multiple hydrologic units may be required to define the entire drainage area for a given outlet. Hydrologic unit boundaries in the WBD are determined on the basis of topographic, hydrologic, and other relevant landscape characteristics without regard for administrative, political, or jurisdictional boundaries. The WBD seamlessly represents hydrologic units at six required and two optional hierarchical levels mapped at a minimum of 1:24,000-scale in the United States, except for in Hawaii, the Caribbean, and the Pacific Islands, which are at 1:25,000-scale, and in Alaska, where the data range from the minimum required 1:24,000-scale to 1:63,360-scale. Hydrologic units in the WBD provide a standardized base for water-resources organizations to locate, store, retrieve, and exchange hydrologic data; to index and inventory hydrologic data and information; to catalog water-data acquisition activities; and to use in a variety of other applications.</p><p>The specifications and procedures established in this document are intended to provide guidelines and best practices to local, regional, and national partners for delineating and updating the hydrologic units of the WBD. Maintaining the WBD using consistent practices improves watershed management through efficient sharing of information and resources and by ensuring that digital geographic data can be used with other related geographic information system data. Edits and additions to the hydrologic units are reviewed against this specification prior to inclusion to the national WBD.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11A3","usgsCitation":"Jones, K.A., Niknami, L.S., Buto, S.G., and Decker, D., 2022, Federal standards and procedures for the national Watershed Boundary Dataset (WBD) (5 ed.): U.S. Geological Survey Techniques and Methods 11-A3, 54 p., https://doi.org/10.3133/tm11A3.","productDescription":"x, 54 p.","numberOfPages":"54","onlineOnly":"Y","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":462486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/11/a3/images/covrthb.jpg"},{"id":503575,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113613.htm","text":"2022 edition","linkFileType":{"id":5,"text":"html"}},{"id":503574,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95288.htm","text":"2011 edition","linkFileType":{"id":5,"text":"html"}},{"id":483473,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/11/a3/versionHist.txt","size":"5.60 KB","linkFileType":{"id":2,"text":"txt"}},{"id":462488,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/a3/pdf/tm11-a3_5ed.pdf","text":"Fifth Edition","size":"9.37 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":462487,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11/a3/"}],"edition":"1st edition: March 2009; 2nd edition: August 2011; 3rd edition: May 2012; 4th edition: August 2014; 5th edition: October 2022","contact":"<p><a href=\"mailto:dc_ut@usgs.gov\" data-mce-href=\"mailto:dc_ut@usgs.gov\">Director</a>,&nbsp;<a title=\"Utah Water Science Center\" href=\"https://www.usgs.gov/centers/utah-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/utah-water-science-center\">Utah Water Science Center</a><br><a title=\"U.S. Geological Survey\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2329 West Orton Circle<br>West Valley City, Utah 84119<br>(801) 908–5000</p>","tableOfContents":"<ul><li class=\"gmail-indent0\">Acknowledgments</li><li class=\"gmail-indent0\">Abstract</li><li class=\"gmail-indent0\">Introduction</li><li class=\"gmail-indent0\">Purpose</li><li class=\"gmail-indent0\">History and Governance</li><li class=\"gmail-indent0\">Program Management and Stewardship</li><li class=\"gmail-indent0\">Geospatial Data Structure</li><li class=\"gmail-indent0\">Metadata</li><li class=\"gmail-indent0\">Data Access</li><li class=\"gmail-indent0\">Specifications for Hydrologic Unit Boundary Delineations for the Watershed Boundary Dataset</li><li class=\"gmail-indent0\">Data Editing and Quality Assurance</li><li class=\"gmail-indent0\">References Cited</li><li class=\"gmail-indent0\">Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2009-03-11","revisedDate":"2022-10-07","noUsgsAuthors":false,"publicationDate":"2009-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Kimberly A. kjones@usgs.gov","contributorId":937,"corporation":false,"usgs":true,"family":"Jones","given":"Kimberly","email":"kjones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":931129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niknami, Lily S.","contributorId":297445,"corporation":false,"usgs":false,"family":"Niknami","given":"Lily S.","affiliations":[],"preferred":false,"id":931130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buto, Susan G. 0000-0002-1107-9549 sbuto@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9549","contributorId":1057,"corporation":false,"usgs":true,"family":"Buto","given":"Susan","email":"sbuto@usgs.gov","middleInitial":"G.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, Drew ddecker@usgs.gov","contributorId":5513,"corporation":false,"usgs":true,"family":"Decker","given":"Drew","email":"ddecker@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":931132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97346,"text":"sir20085095 - 2009 - Derivation of Nationally Consistent Indices Representing Urban Intensity Within and Across Nine Metropolitan Areas of the Conterminous United States","interactions":[],"lastModifiedDate":"2017-01-17T10:04:26","indexId":"sir20085095","displayToPublicDate":"2009-03-11T00:00:00","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":"2008-5095","title":"Derivation of Nationally Consistent Indices Representing Urban Intensity Within and Across Nine Metropolitan Areas of the Conterminous United States","docAbstract":"Two nationally consistent multimetric indices of urban intensity were developed to support studies of the effects of urbanization on streams in nine metropolitan areas of the conterminous United States: Atlanta, Georgia; Birmingham, Alabama; Boston, Massachusetts; Dallas-Fort Worth, Texas; Denver, Colorado; Milwaukee-Green Bay, Wisconsin; Portland, Oregon; Raleigh, North Carolina; and Salt Lake City, Utah. These studies were conducted as a part of the U.S. Geological Survey's National Water-Quality Assessment Program. These urban intensity indices were used to define gradients of urbanization and to interpret biological, physical, and chemical changes along these gradients. Ninety census, land-cover, and infrastructure variables obtained from nationally available databases were evaluated. Only variables that exhibited a strong and consistent linear relation with 2000 population density were considered for use in the indices. Housing-unit density (HUDEN), percentage of basin area in developed land (P_NLCD1_2), and road density (ROADDEN) were selected as the best representatives of census, land-cover, and infrastructure variables. The metropolitan area national urban intensity index (MA-NUII) was scaled to represent urban intensity within each metropolitan area and ranged from 0 (little or no urban) to 100 (maximum urban) for sites within each metropolitan area. The national urban intensity index (NUII) was scaled to represent urban intensity across all nine metropolitan areas and ranged from 0 to 100 for all sites. The rates at which HUDEN, P_NLCD1_2, and ROADDEN changed with changes in population density varied among metropolitan areas. Therefore, these variables were adjusted to obtain a more uniform rate of response across metropolitan areas in the derivation of the NUII. The NUII indicated that maximum levels of urban intensity occurred in the West and Midwest rather than in the East primarily because small inner-city streams in eastern metropolitan areas are buried and converted to storm drains or sewers and because of higher density development in the Western and Central United States. The national indices (MA-NUII, NUII) were compared to indices that were derived independently for each metropolitan area (MA-UII) based on variables that were of local interest. The MA-UIIs, which were based on 5 to 40 variables, tended to overestimate urban intensity relative to the national indices particularly when the MA-UII was composed of large numbers of variables that were not linearly related to population density as in Denver, Dallas-Fort Worth, and Milwaukee-Green Bay.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085095","usgsCitation":"Cuffney, T.F., and Falcone, J., 2009, Derivation of Nationally Consistent Indices Representing Urban Intensity Within and Across Nine Metropolitan Areas of the Conterminous United States: U.S. Geological Survey Scientific Investigations Report 2008-5095, viii, 37 p., https://doi.org/10.3133/sir20085095.","productDescription":"viii, 37 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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States\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab1e4b07f02db66e612","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falcone, James A.","contributorId":24044,"corporation":false,"usgs":true,"family":"Falcone","given":"James A.","affiliations":[],"preferred":false,"id":301777,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97344,"text":"fs20093002 - 2009 - Integrated Science: Florida Manatees and Everglades Hydrology","interactions":[],"lastModifiedDate":"2012-02-02T00:15:07","indexId":"fs20093002","displayToPublicDate":"2009-03-11T00:00:00","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":"2009-3002","title":"Integrated Science: Florida Manatees and Everglades Hydrology","docAbstract":"Predicting and monitoring restoration effects on Florida manatees, which are known to make extended movements, will be incomplete if modeling and monitoring are limited to the smaller areas defined by the various res-toration components. U.S. Geological Survey (USGS) efforts, thus far, have focused on (1) collecting manatee movement data throughout the Ten Thousand Islands (TTI) region, and (2) developing an individual-based model for manatees to illustrate manatee responses to changes in hydrology related to the Picayune Strand Restoration Project (PSRP).\r\n\r\nIn 2006, new regional research was begun to extend an Everglades hydrology model into the TTI region; extend the manatee movement model into the southern estuaries of Everglades National Park (ENP); and integrate hydrology and manatee data, models, and monitoring across the TTI region and ENP. Currently (2008), three research tasks are underway to develop the necessary modeling components to assess restoration efforts across the Greater Everglades Ecosystem.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093002","usgsCitation":"Langtimm, C.A., Swain, E.D., Stith, B., Reid, J.P., Slone, D., Decker, J., Butler, S., Doyle, T., and Snow, R., 2009, Integrated Science: Florida Manatees and Everglades Hydrology: U.S. Geological Survey Fact Sheet 2009-3002, 4 p., https://doi.org/10.3133/fs20093002.","productDescription":"4 p.","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":121093,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3002.jpg"},{"id":12402,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3002/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b2e4b07f02db5c94d5","contributors":{"authors":[{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":301766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":301768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":301767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":301765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Decker, Jeremy","contributorId":99662,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","affiliations":[],"preferred":false,"id":301772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butler, Susan M. 0000-0003-3676-9332","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":46650,"corporation":false,"usgs":true,"family":"Butler","given":"Susan M.","affiliations":[],"preferred":false,"id":301771,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doyle, Terry","contributorId":28666,"corporation":false,"usgs":true,"family":"Doyle","given":"Terry","affiliations":[],"preferred":false,"id":301769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Snow, R.W.","contributorId":38672,"corporation":false,"usgs":true,"family":"Snow","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":301770,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":97341,"text":"ds396 - 2009 - Ground-water quality data in the San Francisco Bay study unit, 2007: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-07-11T19:35:29.565625","indexId":"ds396","displayToPublicDate":"2009-03-06T00:00:00","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":"396","title":"Ground-water quality data in the San Francisco Bay study unit, 2007: Results from the California GAMA Program","docAbstract":"<p>Ground-water quality in the approximately 620-square-mile San Francisco Bay study unit (SFBAY) was investigated from April through June 2007 as part of the Priority Basin project of the Ground-Water 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 raw ground-water quality, as well as a statistically consistent basis for comparing water quality throughout California. Samples in SFBAY were collected from 79 wells in San Francisco, San Mateo, Santa Clara, Alameda, and Contra Costa Counties. Forty-three of the wells sampled were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells). Thirty-six wells were sampled to aid in evaluation of specific water-quality issues (understanding wells).</p><p><span>The ground-water samples were analyzed for a large number of synthetic organic constituents (volatile organic compounds [VOC], pesticides and pesticide degradates, pharmaceutical compounds, and potential wastewater-indicator compounds), constituents of special interest (perchlorate and N-nitrosodimethylamine [NDMA]), naturally occurring inorganic constituents (nutrients, major and minor ions, trace elements, chloride and bromide isotopes, and uranium and strontium isotopes), radioactive constituents, and microbial indicators. Naturally occurring isotopes (tritium, carbon-14 isotopes, and stable isotopes of hydrogen, oxygen, nitrogen, boron, and carbon), and dissolved noble gases (noble gases were analyzed in collaboration with Lawrence Livermore National Laboratory) also were measured to help identify the source and age of the sampled ground water.</span></p><p><br></p><p>Quality-control samples (blank samples, replicate samples, matrix spike samples) were collected for approximately one-third of the wells, and the results for these samples were used to evaluate the quality of the data for the ground-water samples. Assessment of the quality-control information from the field blanks resulted in applying “V” codes to approximately 0.1 percent of the data collected for ground-water samples (meaning a constituent was detected in blanks as well as the corresponding environmental data). See the Appendix section “Quality-Control-Sample Results.”</p><p>This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, water typically is treated, disinfected, and (or) blended with other waters to maintain acceptable water quality. Regulatory thresholds apply to treated water that is delivered to the consumer, not to raw ground water. However, to provide some context for the results, concentrations of constituents measured in the raw ground water were compared with regulatory and non-regulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and California Department of Public Health (CDPH) and thresholds established for aesthetic concerns (secondary maximum contaminant levels, SMCL-CA) by CDPH.</p><p>VOCs were detected in about one-half of the grid wells, while pesticides were detected in about one-fifth of the grid wells. Concentrations of all VOCs and pesticides detected in samples from all SFBAY wells were below health-based thresholds. No pharmaceutical compounds were detected in any SFBAY well. One potential wastewater-indicator compound, caffeine, was detected in one grid well in SFBAY. Concentrations of most trace elements and nutrients detected in samples from all SFBAY wells were below health-based thresholds. Exceptions include nitrate, detected above the USEPA maximum contaminant level (MCL-US) in 3samples; arsenic, above the USEPA maximum contaminant level (MCL-US) in 3 samples; cadmium, above the MCL-US in 1 sample; boron, above the CDPH notification level (NL-CA) in 2 samples; and strontium, above the USEPA lifetime health advisory level (HAL-US) in 2 samples. The radioactive constituent radon-222 was detected above the proposed MCL-US in two grid wells, but no wells had detections above the proposed alternative MCL-US. Most of the samples from all SFBAY wells had concentrations of major ions, total dissolved solids, and trace elements below the non-enforceable thresholds set for aesthetic concerns. Six or fewer samples contained chloride, sulfate, or iron at concentrations above the SMCL-CA thresholds. No microbial indicators were detected in SFBAY grid wells.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds396","collaboration":"Prepared in cooperation with California State Water Resources Control Board","usgsCitation":"Ray, M.C., Kulongoski, J., and Belitz, K., 2009, Ground-water quality data in the San Francisco Bay study unit, 2007: Results from the California GAMA Program: U.S. Geological Survey Data Series 396, x, 93 p., https://doi.org/10.3133/ds396.","productDescription":"x, 93 p.","temporalStart":"2007-04-01","temporalEnd":"2007-06-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":195172,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403431,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86426.htm","linkFileType":{"id":5,"text":"html"}},{"id":12396,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/396/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.84912109375,\n              37.3002752813443\n            ],\n            [\n              -121.28906250000001,\n              37.3002752813443\n            ],\n            [\n              -121.28906250000001,\n              38.09998264736481\n            ],\n            [\n              -122.84912109375,\n              38.09998264736481\n            ],\n            [\n              -122.84912109375,\n              37.3002752813443\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d528","contributors":{"authors":[{"text":"Ray, Mary C.","contributorId":65945,"corporation":false,"usgs":true,"family":"Ray","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":301758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":301759,"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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":301757,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97342,"text":"sir20085234 - 2009 - Development of a Flood-Warning System and Flood-Inundation Mapping for the Blanchard River in Findlay, Ohio","interactions":[],"lastModifiedDate":"2012-02-02T00:14:26","indexId":"sir20085234","displayToPublicDate":"2009-03-06T00:00:00","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":"2008-5234","title":"Development of a Flood-Warning System and Flood-Inundation Mapping for the Blanchard River in Findlay, Ohio","docAbstract":"Digital flood-inundation maps of the Blanchard River in Findlay, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Findlay, Ohio. The maps, which correspond to water levels at the USGS streamgage at Findlay (04189000), were provided to the National Weather Service (NWS) for incorporation into a Web-based flood-warning system that can be used in conjunction with NWS flood-forecast data to show areas of predicted flood inundation associated with forecasted flood-peak stages.\r\n\r\nThe USGS reestablished one streamgage and added another on the Blanchard River upstream of Findlay. Additionally, the USGS established one streamgage each on Eagle and Lye Creeks, tributaries to the Blanchard River. The stream-gage sites were equipped with rain gages and multiple forms of telemetry. Data from these gages can be used by emergency management personnel to determine a course of action when flooding is imminent.\r\n\r\nFlood profiles computed by means of a step-backwater model were prepared and calibrated to a recent flood with a return period exceeding 100 years. The hydraulic model was then used to determine water-surface-elevation profiles for 11 flood stages with corresponding streamflows ranging from approximately 2 to 100 years in recurrence interval. The simulated flood profiles were used in combination with digital elevation data to delineate the flood-inundation areas. Maps of Findlay showing flood-inundation areas overlain on digital orthophotographs are presented for the selected floods.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085234","collaboration":"Prepared in cooperation with the City of Findlay, Ohio","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2009, Development of a Flood-Warning System and Flood-Inundation Mapping for the Blanchard River in Findlay, Ohio: U.S. Geological Survey Scientific Investigations Report 2008-5234, Report: iv, 9 p.; 11 Plates, https://doi.org/10.3133/sir20085234.","productDescription":"Report: iv, 9 p.; 11 Plates","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195658,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12397,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5234/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db667079","contributors":{"authors":[{"text":"Whitehead, Matthew T. mtwhiteh@usgs.gov","contributorId":2158,"corporation":false,"usgs":true,"family":"Whitehead","given":"Matthew","email":"mtwhiteh@usgs.gov","middleInitial":"T.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostheimer, Chad J. ostheime@usgs.gov","contributorId":2160,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"ostheime@usgs.gov","middleInitial":"J.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97343,"text":"sir20085242 - 2009 - Evaluation of the effects of precipitation on ground-water levels from wells in selected alluvial aquifers in Utah and Arizona, 1936-2005","interactions":[],"lastModifiedDate":"2017-01-27T09:07:57","indexId":"sir20085242","displayToPublicDate":"2009-03-06T00:00:00","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":"2008-5242","title":"Evaluation of the effects of precipitation on ground-water levels from wells in selected alluvial aquifers in Utah and Arizona, 1936-2005","docAbstract":"Increased withdrawals from alluvial aquifers of the southwestern United States during the last half-century have intensified the effects of drought on ground-water levels in valleys where withdrawal for irrigation is greatest. Furthermore, during wet periods, reduced withdrawals coupled with increased natural recharge cause rising ground-water levels. In order to manage water resources more effectively, analysis of ground-water levels under the influence of natural and anthropogenic stresses is useful.\r\n\r\nThis report evaluates the effects of precipitation patterns on ground-water levels in areas of Utah and Arizona that have experienced different amounts of ground-water withdrawal. This includes a comparison of water-level records from basins that are hydrogeologically and climatologically similar but have contrasting levels of ground-water development. Hydrologic data, including records of ground-water levels, basin-wide annual ground-water withdrawals, and precipitation were examined from two basins in Utah (Milford and central Sevier) and three in Arizona (Aravaipa Canyon, Willcox, and Douglas). Most water-level records examined in this study from basins experiencing substantial ground-water development (Milford, Douglas, and Willcox) showed strong trends of declining water levels. Other water-level records, generally from the less-developed basins (central Sevier and Aravaipa Canyon) exhibited trends of increasing water levels. These trends are likely the result of accumulating infiltration of unconsumed irrigation water.\r\n\r\nWater-level records that had significant trends were detrended by subtraction of a low-order polynomial in an attempt to eliminate the variation in the water-level records that resulted from ground-water withdrawal or the application of water for irrigation. After detrending, water-level residuals were correlated with 2- to 10-year moving averages of annual precipitation from representative stations for the individual basins. The water-level residual time series for each well was matched with the 2- to 10-year moving average of annual precipitation with which it was best correlated and the results were compared across basins and hydrologic settings.\r\n\r\nAnalysis of water-level residuals and moving averages of annual precipitation indicate that ground-water levels in the Utah basins respond more slowly to precipitation patterns than those from the Arizona basins. This is attributed to the dominant mechanism of recharge that most directly influences the respective valley aquifers. Substantial recharge in the Utah basins likely originates as infiltrating snowmelt in the mountain block far from the valley aquifer, whereas mountain-front recharge and streambed infiltration of runoff are the dominant recharge mechanisms operating in the Arizona basins. It was determined that the fraction of water-level variation caused by local precipitation patterns becomes more difficult to resolve with increasing effects of ground-water pumping, especially from incomplete records. As the demand for ground water increases in the southwestern United States, long-term records of ground-water levels have the potential to provide valuable information about the precipitation-driven variation in water levels, which has implications to water management related to water availability.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085242","usgsCitation":"Gardner, P.M., and Heilweil, V.M., 2009, Evaluation of the effects of precipitation on ground-water levels from wells in selected alluvial aquifers in Utah and Arizona, 1936-2005: U.S. Geological Survey Scientific Investigations Report 2008-5242, vi, 28 p., https://doi.org/10.3133/sir20085242.","productDescription":"vi, 28 p.","numberOfPages":"38","temporalStart":"1936-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":610,"text":"Utah Water Science 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa5e7","contributors":{"authors":[{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301762,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201198,"text":"70201198 - 2009 - Titan's surface at 2.2-cm wavelength imaged by the Cassini RADAR radiometer: Calibration and first results","interactions":[],"lastModifiedDate":"2018-12-05T11:39:06","indexId":"70201198","displayToPublicDate":"2009-03-01T11:37:25","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Titan's surface at 2.2-cm wavelength imaged by the Cassini RADAR radiometer: Calibration and first results","docAbstract":"<p><span>The first comprehensive calibration and mapping of the thermal&nbsp;</span>microwave emission<span>&nbsp;from&nbsp;Titan's&nbsp;surface is reported based on radiometric data obtained at 2.2-cm wavelength by the passive&nbsp;radiometer&nbsp;included in the Cassini Radar instrument. The data reported were accumulated from 69 separate observational segments in Titan passes from Ta (October 2004) through T30 (May 2007) and include emission from 94% of Titan's surface. They are diverse in the key observing parameters of emission angle, polarization, and&nbsp;spatial resolution, and their reduction into calibrated global mosaic maps involved several steps. Analysis of the&nbsp;polarimetry&nbsp;obtained at low to moderate resolution (50+ km) enabled integration of the radiometry into a single mosaic of the equivalent&nbsp;brightness temperature&nbsp;at normal incidence with a relative precision of about 1 K. The&nbsp;Huygens probe&nbsp;measurement of Titan's&nbsp;surface temperature&nbsp;and radiometry obtained on Titan's&nbsp;dune fields&nbsp;allowed us to infer an absolute calibration estimated to be accurate to a level approaching 1 K. The results provide evidence for a surface that is complex and varied on large scales. The radiometry primarily constrains physical properties of the surface, where we see strong evidence for subsurface (volume) scattering as a dominant mechanism that determines the&nbsp;emissivity, with the possibility of a fluffy or graded-density&nbsp;surface layer&nbsp;in many regions. The results are consistent with, but not necessarily definitive of a surface composition resulting from the slow deposition and processing of&nbsp;organic compounds&nbsp;from the atmosphere.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2008.10.017","usgsCitation":"Janssen, M., Lorenz, R.D., West, R., Paganelli, F., Lopes, R., Kirk, R.L., Elachi, C., Wall, S.D., Johnson, W., Anderson, Y., Boehmer, R., Callahan, P., Gim, Y., Hamilton, G., Kelleher, K., Roth, L., Stiles, B., Le Gall, A., and The Cassini Radar Team, 2009, Titan's surface at 2.2-cm wavelength imaged by the Cassini RADAR radiometer: Calibration and first results: Icarus, v. 200, no. 1, p. 222-239, https://doi.org/10.1016/j.icarus.2008.10.017.","productDescription":"18 p.","startPage":"222","endPage":"239","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Saturn; Titan","volume":"200","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c08f1c7e4b0815414d0bc07","contributors":{"authors":[{"text":"Janssen, M.A.","contributorId":28345,"corporation":false,"usgs":true,"family":"Janssen","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":753168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, R. 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,{"id":70156891,"text":"70156891 - 2009 - Mapping Hurricane Rita inland storm tide","interactions":[],"lastModifiedDate":"2021-10-27T16:43:38.80973","indexId":"70156891","displayToPublicDate":"2009-03-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2289,"text":"Journal of Flood Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Mapping Hurricane Rita inland storm tide","docAbstract":"<p><span>Flood‐inundation data are most useful for decision makers when presented in the context of maps of affected communities and (or) areas. But because the data are scarce and rarely cover the full extent of the flooding, interpolation and extrapolation of the information are needed. Many geographic information systems provide various interpolation tools, but these tools often ignore the effects of the topographic and hydraulic features that influence flooding. A barrier mapping method was developed to improve maps of storm tide produced by Hurricane Rita. Maps were developed for the maximum storm tide and at 3‐h intervals from midnight (00:00 hours) through noon (12:00 hours) on 24 September 2005. The improved maps depict storm‐tide elevations and the extent of flooding. The extent of storm‐tide inundation from the improved maximum storm‐tide map was compared with the extent of flood inundation from a map prepared by the Federal Emergency Management Agency (FEMA). The boundaries from these two maps generally compared quite well especially along the Calcasieu River. Also a cross‐section profile that parallels the Louisiana coast was developed from the maximum storm‐tide map and included FEMA high‐water marks.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1753-318X.2009.01019.x","usgsCitation":"Berenbrock, C., Mason, and Blanchard, S.F., 2009, Mapping Hurricane Rita inland storm tide: Journal of Flood Risk Management, v. 2, no. 1, p. 76-82, https://doi.org/10.1111/j.1753-318X.2009.01019.x.","productDescription":"7 p.","startPage":"76","endPage":"82","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-005603","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":476090,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.1392","text":"External Repository"},{"id":391016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Louisiana","otherGeospatial":"southern Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.40277099609375,\n              29.537619205973428\n            ],\n            [\n              -92.01324462890625,\n              29.537619205973428\n            ],\n            [\n              -92.01324462890625,\n              30.071470887901302\n            ],\n            [\n              -94.40277099609375,\n              30.071470887901302\n            ],\n            [\n              -94.40277099609375,\n              29.537619205973428\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-02-26","publicationStatus":"PW","scienceBaseUri":"560bb6c7e4b058f706e53d53","contributors":{"authors":[{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":571008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":571009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Stephen F.","contributorId":54966,"corporation":false,"usgs":true,"family":"Blanchard","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":571010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208387,"text":"70208387 - 2009 - New satellite observations and rainfall forecasts help provide earlier warning of African drought","interactions":[],"lastModifiedDate":"2020-02-20T10:15:12","indexId":"70208387","displayToPublicDate":"2009-02-28T13:39:27","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5927,"text":"Earth Observer","active":true,"publicationSubtype":{"id":10}},"title":"New satellite observations and rainfall forecasts help provide earlier warning of African drought","docAbstract":"<p>The poor nations of sub-Saharan Africa face a constant struggle against weather and climate. The outcome of that struggle profoundly influences these nations’ economic growth, health, and social stability. Advances in climate monitoring and forecasting can help African nations and international aid organizations reduce the impact of these natural hazards. Satellites play a crucial role in this effort as they enable scientists to track climate conditions over data-sparse land and ocean areas. In this article, I discuss how a multi-organizational group of scientists use satellite data and statistical forecasts to provide earlier and more accurate early warning of potential drought conditions. We frame our discussion in a specific, timely context—that of probable dramatic food insecurity in Zimbabwe, Eastern Kenya, and Somalia. As this article was being prepared in mid-December, very warm conditions in the Indian Ocean appear likely to produce below normal December–January–February rainfall in both Eastern Kenya/Somalia and Zimbabwe.</p>","language":"English","publisher":"NASA","usgsCitation":"Funk, C., 2009, New satellite observations and rainfall forecasts help provide earlier warning of African drought: Earth Observer, v. 21, no. 1, p. 23-27.","productDescription":"5 p.","startPage":"23","endPage":"27","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372118,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eospso.gsfc.nasa.gov/earthobserver/jan-feb-2009"}],"country":"Kenya, Somalia, Zimbabwe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n  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,{"id":97336,"text":"ds379 - 2009 - Biosolids, Crop, and Ground-Water Data for a Biosolids-Application Area Near Deer Trail, Colorado, 2004 Through 2006","interactions":[],"lastModifiedDate":"2025-05-14T19:30:53.902352","indexId":"ds379","displayToPublicDate":"2009-02-28T00:00:00","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":"379","title":"Biosolids, Crop, and Ground-Water Data for a Biosolids-Application Area Near Deer Trail, Colorado, 2004 Through 2006","docAbstract":"From 2004 through 2006, the U.S. Geological Survey monitored the chemical composition of biosolids, crops, dust, and ground water related to biosolids applications near Deer Trail, Colorado, in cooperation with the Metro Wastewater Reclamation District. This monitoring effort was a continuation of the monitoring program begun in 1999 in cooperation with the Metro Wastewater Reclamation District and the North Kiowa Bijou Groundwater Management District. The monitoring program addresses concerns from the public about the chemical effects from applications of biosolids to farmland in the Deer Trail, Colorado, area. This report presents chemical data from 2004 through 2006 for biosolids, crops, and alluvial and bedrock ground water. The chemical data include the constituents of highest concern to the public (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, zinc, and plutonium) in addition to many other constituents. The ground-water section also includes climate and water-level data.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds379","collaboration":"Prepared in cooperation with the Metro Wastewater Reclamation District","usgsCitation":"Yager, T., Smith, D., and Crock, J.G., 2009, Biosolids, Crop, and Ground-Water Data for a Biosolids-Application Area Near Deer Trail, Colorado, 2004 Through 2006: U.S. Geological Survey Data Series 379, vi, 57 p., https://doi.org/10.3133/ds379.","productDescription":"vi, 57 p.","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":12390,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/379/","linkFileType":{"id":5,"text":"html"}},{"id":195657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,39.416666666666664 ], [ -104,39.73444444444444 ], [ -103.7,39.73444444444444 ], [ -103.7,39.416666666666664 ], [ -104,39.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a3be4b07f02db61ec92","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":301738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":301737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":301736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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