On June 6-7, 2008, heavy rainfall of 2 to more than 10 inches fell upon saturated soils and added to already high streamflows from a wetter than normal spring in central and southern Indiana. The heavy rainfall resulted in severe flooding on many streams within the White River Basin during June 7-9, causing three deaths, evacuation of thousands of residents, and hundreds of millions of dollars of damage to residences, businesses, infrastructure, and agricultural lands. In all, 39 Indiana counties were declared Federal disaster areas. U.S. Geological Survey (USGS) streamgages at nine locations recorded new record peak streamflows for the respective periods of record as a result of the heavy rainfall. Recurrence intervals of flood-peak streamflows were estimated to be greater than 100 years at five streamgages and 50-100 years at two streamgages. Peak-gage-height data, peak-streamflow data, and recurrence intervals are tabulated for 19 USGS streamgages in central and southern Indiana. Peak-streamflow estimates are tabulated for four ungaged locations, and estimated recurrence intervals are tabulated for three ungaged locations. The estimated recurrence interval for an ungaged location on Haw Creek in Columbus was greater than 100 years and for an ungaged location on Hurricane Creek in Franklin was 50-100 years. Because flooding was particularly severe in the communities of Columbus, Edinburgh, Franklin, Paragon, Seymour, Spencer, Martinsville, Newberry, and Worthington, high-water-mark data collected after the flood were tabulated for those communities. Flood peak inundation maps and water-surface profiles for selected streams were made in a geographic information system by combining the high-water-mark data with the highest-resolution digital elevation model data available.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081322","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and the Indiana Department of Natural Resources, Division of Water","usgsCitation":"Morlock, S.E., Menke, C.D., Arvin, D.V., and Kim, M.H., 2008, Flood of June 7-9, 2008, in Central and Southern Indiana: U.S. Geological Survey Open-File Report 2008-1322, Report: iv, 15 p.; 3 Appendixes, https://doi.org/10.3133/ofr20081322.","productDescription":"Report: iv, 15 p.; 3 Appendixes","startPage":"1","endPage":"15","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-06-06","temporalEnd":"2008-06-09","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":195652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12002,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1322/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88,38 ], [ -88,40.5 ], [ -85,40.5 ], [ -85,38 ], [ -88,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e7065","contributors":{"authors":[{"text":"Morlock, Scott E. smorlock@usgs.gov","contributorId":3212,"corporation":false,"usgs":true,"family":"Morlock","given":"Scott","email":"smorlock@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":300852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":300849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvin, Donald V. dvarvin@usgs.gov","contributorId":3210,"corporation":false,"usgs":true,"family":"Arvin","given":"Donald","email":"dvarvin@usgs.gov","middleInitial":"V.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":300850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":300851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97026,"text":"sir20085165 - 2008 - Streamflow conditions in the Guadalupe River Basin, south-central Texas, water years 1987-2006— An assessment of streamflow gains and losses and relative contribution of major springs to streamflow","interactions":[],"lastModifiedDate":"2021-12-14T20:46:24.385163","indexId":"sir20085165","displayToPublicDate":"2008-10-18T00:00:00","publicationYear":"2008","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":"2008-5165","title":"Streamflow conditions in the Guadalupe River Basin, south-central Texas, water years 1987-2006— An assessment of streamflow gains and losses and relative contribution of major springs to streamflow","docAbstract":"The U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, assessed available streamflow data in the Guadalupe River Basin to determine streamflow gains and losses and the relative contribution of flow from major springs - Comal Springs, San Marcos Springs, and Hueco Springs - to streamflow in reaches of the Guadalupe River and its tributaries. The assessment is based primarily on long-term (1987-2006) and short-term (January 1999, August 1999, August 2000, and August 2006) streamflow conditions. For each analysis period, the ratio of flow from the major springs (measured at the spring source) to the sum of inflows (measured at the source of inflow to the river system) is computed for reaches of the Comal River and San Marcos River that include springflows from major springs, and for Guadalupe River reaches downstream from Canyon Dam. The ratio of springflow to the sum of inflows to the reach is an estimate of the contribution of flows from major springs to streamflow. For 1987-2006, the ratio of springflow from the major springs to the sum of inflows for the most upstream reach that includes inflow from all three major springs, Guadalupe River - above Comal River to Gonzales, is 27 percent. At the lowermost downstream reach, Guadalupe River - Bloomington to the San Antonio River, the percentage of the sum of inflows attributed to springflow is 18 percent. At that lowermost reach, the ratio of Canyon Lake releases to the sum of inflows was 20 percent. For the short-term periods August 2000 and August 2006 (periods of relatively low flow), springflow in the reach Guadalupe River - above Comal River to Gonzales accounted for 77 and 78 percent, respectively, of the sum of inflows in that reach. At the lowermost reach Guadalupe River - Bloomington to San Antonio River, springflow was 52 and 53 percent of the sum of inflows, respectively, during August 2000 and August 2006 (compared with 18 percent during 1987-2006); and during August 2000 and August 2006, the ratios of Canyon Lake releases to the sum of inflows were less than 10 percent (compared with 20 percent during 1987-2006)
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085165","collaboration":"Prepared in cooperation with the Edwards Aquifer Authority","usgsCitation":"Ockerman, D.J., and Slattery, R.N., 2008, Streamflow conditions in the Guadalupe River Basin, south-central Texas, water years 1987-2006— An assessment of streamflow gains and losses and relative contribution of major springs to streamflow (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5165, 22 p., https://doi.org/10.3133/sir20085165.","productDescription":"22 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1987-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":124705,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5165.jpg"},{"id":392883,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84942.htm"},{"id":11995,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5165/","linkFileType":{"id":5,"text":"html"}},{"id":327658,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5165/pdf/sir2008-5165.pdf","size":"15.97 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","otherGeospatial":"Guadalupe River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.7,\n 28.4833\n ],\n [\n -96.8833,\n 28.4833\n ],\n [\n -96.8833,\n 30.25\n ],\n [\n -99.7,\n 30.25\n ],\n [\n -99.7,\n 28.4833\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4f8d","contributors":{"authors":[{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":300821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":300822,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97033,"text":"ds356 - 2008 - Ground-water quality data in the San Fernando-San Gabriel study unit, 2005— Results from the California GAMA program","interactions":[],"lastModifiedDate":"2021-09-16T11:56:15.261554","indexId":"ds356","displayToPublicDate":"2008-10-18T00:00:00","publicationYear":"2008","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":"356","title":"Ground-water quality data in the San Fernando-San Gabriel study unit, 2005— Results from the California GAMA program","docAbstract":"Ground-water quality in the approximately 460 square mile San Fernando-San Gabriel study unit (SFSG) was investigated between May and July 2005 as part of the Priority Basin Assessment Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Assessment 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).\r\n\r\nThe San Fernando-San Gabriel study was designed to provide a spatially unbiased assessment of raw ground-water quality within SFSG, as well as a statistically consistent basis for comparing water quality throughout California. Samples were collected from 52 wells in Los Angeles County. Thirty-five of the wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study area (grid wells), and seventeen wells were selected to aid in the evaluation of specific water-quality issues or changes in water chemistry along a historic ground-water flow path (understanding wells).\r\n\r\nThe ground-water samples were analyzed for a large number of synthetic organic constituents [volatile organic compounds (VOCs), pesticides and pesticide degradates], constituents of special interest [perchlorate, N-nitrosodimethylamine (NDMA), 1,2,3-trichloropropane (1,2,3-TCP), and 1,4-dioxane], naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), radioactive constituents, and microbial indicators. Naturally occurring isotopes (tritium, and carbon-14, and stable isotopes of hydrogen, oxygen, and carbon), and dissolved noble gases also were measured to help identify the source and age of the sampled ground water. \r\n\r\nQuality-control samples (blanks, replicates, samples for matrix spikes) were collected at approximately one-fifth (11 of 52) 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 results showed that the data had very little bias or variability and resulted in censoring of less than 0.7 percent (32 of 4,484 measurements) of the data collected for ground-water samples.\r\n\r\nThis study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, water typically is treated, disinfected, or blended with other waters to maintain acceptable water quality. Regulatory thresholds apply to treated water that is served 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 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.\r\n\r\nVOCs were detected in more than 90 percent (33 of 35) of grid wells. For all wells sampled for SFSG, nearly all VOC detections were below health-based thresholds, and most were less than one-tenth of the threshold values. Samples from seven wells had at least one detection of PCE, TCE, tetrachloromethane, NDMA, or 1,2,3-TCP at or above a health-based threshold. Pesticides were detected in about 90 percent (31 of 35) grid wells and all detections in samples from SFSG wells were below health-based thresholds.\r\n\r\nMajor ions, trace elements, and nutrients in samples from 17 SFSG wells were all below health-based thresholds, with the exception of one detection of nitrate that was above the USEPA maximum contaminant level (MCL-US). With the exception of 14 samples having radon-222 above the proposed MCL-US, radioactive constituents were below health-based thresholds for 16 of the SFSG wells sampled. Total dissolved solids in 6 of the 24 SFSG wells that were sampled ha","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds356","usgsCitation":"Land, M., and Belitz, K., 2008, Ground-water quality data in the San Fernando-San Gabriel study unit, 2005— Results from the California GAMA program: U.S. Geological Survey Data Series 356, viii, 84 p., https://doi.org/10.3133/ds356.","productDescription":"viii, 84 p.","temporalStart":"2005-05-01","temporalEnd":"2005-07-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":195370,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12003,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/356/","linkFileType":{"id":5,"text":"html"}},{"id":389289,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_85057.htm"}],"country":"United States","state":"California","otherGeospatial":"San Fernando-San Gabriel Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.6667,\n 34\n ],\n [\n -117.6667,\n 34\n ],\n [\n -117.6667,\n 34.3333\n ],\n [\n -118.6667,\n 34.3333\n ],\n [\n -118.6667,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d522","contributors":{"authors":[{"text":"Land, Michael 0000-0001-5141-0307","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":56613,"corporation":false,"usgs":true,"family":"Land","given":"Michael","affiliations":[],"preferred":false,"id":300854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":300853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97029,"text":"fs20083083 - 2008 - Isotope and Chemical Methods in Support of the U.S. Geological Survey Science Strategy, 2003-2008","interactions":[],"lastModifiedDate":"2012-02-02T00:15:06","indexId":"fs20083083","displayToPublicDate":"2008-10-18T00:00:00","publicationYear":"2008","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":"2008-3083","title":"Isotope and Chemical Methods in Support of the U.S. Geological Survey Science Strategy, 2003-2008","docAbstract":"Principal functions of the Mineral Resources Program are providing information to decision-makers related to mineral deposits on federal lands and predicting the environmental consequences of the mining or natural weathering of those deposits. Performing these functions requires that predictions be made of the likelihood of undiscovered deposits. The predictions are based on geologic and geoenvironmental models that are constructed for the various types of mineral deposits from detailed descriptions of actual deposits and detailed understanding of the processes that formed them. Over the past three decades the understanding of ore-forming processes has benefitted greatly from the integration of laboratory-based geochemical tools with field observations and other data sources. Under the aegis of the Evolution of Ore Deposits and Technology Transfer Project (EODTTP), a five-year effort that terminated in 2008, the Mineral Resources Program provided state-of-the-art analytical capabilities to support applications of several related geochemical tools.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Evolution of Ore Deposits and Technology Transfer Project","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083083","usgsCitation":"Rye, R.O., Johnson, C.A., Landis, G.P., Hofstra, A., Emsbo, P., Stricker, C.A., Hunt, A., and Rusk, B., 2008, Isotope and Chemical Methods in Support of the U.S. Geological Survey Science Strategy, 2003-2008 (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3083, 6 p., https://doi.org/10.3133/fs20083083.","productDescription":"6 p.","temporalStart":"2003-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":124714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3083.jpg"},{"id":11998,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3083/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db667035","contributors":{"authors":[{"text":"Rye, R. O.","contributorId":66208,"corporation":false,"usgs":true,"family":"Rye","given":"R.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":300832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, C. A. 0000-0002-1334-2996","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":27492,"corporation":false,"usgs":true,"family":"Johnson","given":"C.","middleInitial":"A.","affiliations":[],"preferred":false,"id":300827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landis, G. P.","contributorId":102846,"corporation":false,"usgs":true,"family":"Landis","given":"G.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":300834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, A. H. 0000-0002-2450-1593","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":41426,"corporation":false,"usgs":true,"family":"Hofstra","given":"A. H.","affiliations":[],"preferred":false,"id":300828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emsbo, P.","contributorId":59901,"corporation":false,"usgs":true,"family":"Emsbo","given":"P.","affiliations":[],"preferred":false,"id":300831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stricker, C. A.","contributorId":56758,"corporation":false,"usgs":true,"family":"Stricker","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":300830,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, A.G.","contributorId":68691,"corporation":false,"usgs":true,"family":"Hunt","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":300833,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rusk, B.G.","contributorId":48667,"corporation":false,"usgs":true,"family":"Rusk","given":"B.G.","affiliations":[],"preferred":false,"id":300829,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":97024,"text":"sir20085073 - 2008 - Wyoming Landscape Conservation Initiative Science Workshop Proceedings, May 15-17, 2007","interactions":[],"lastModifiedDate":"2018-09-24T10:15:04","indexId":"sir20085073","displayToPublicDate":"2008-10-16T00:00:00","publicationYear":"2008","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":"2008-5073","title":"Wyoming Landscape Conservation Initiative Science Workshop Proceedings, May 15-17, 2007","docAbstract":"The U.S. Geological Survey (USGS) hosted a Wyoming Landscape Conservation Initiative (WLCI) Science Workshop at the University of Wyoming on May 15, 16, and 17, 2007. The goal of the workshop was to gather information from stakeholders about research needs and existing data resources to help develop the USGS WLCI science plan.\r\n\r\nThe workshop focused on six research and management needs identified by WLCI partners prior to the workshop: \r\n*evaluate the cumulative effects of development activities; \r\n*identify key drivers of change; \r\n*identify condition and distribution of key wildlife species, habitat, and species habitat requirements; \r\n*evaluate wildlife and livestock responses to development; \r\n*develop an integrated inventory and monitoring strategy; and \r\n*develop a data clearinghouse and an information-management framework.\r\n\r\nThese topics correlated to six plenary panels and discussions and six breakout sessions. Several collective needs were identified: \r\n*create a long-term, accessible information database; \r\n*identify key habitats, indicator species; \r\n*collect and research missing critical baseline data; \r\n*begin on-the-ground projects as soon as possible; and \r\n*implement a monitoring program to assist with adaptive management techniques.\r\n\r\nSeveral concerns were expressed repeatedly: \r\n*secure adequate and long-term funding; \r\n*meeting the WLCI workload with agencies that are already understaffed; \r\n*assess cumulative effects as an analysis approach; \r\n*perform offsite mitigation in a way that is valuable and effective; \r\n*focus all research on providing practical applications; and \r\n*involve the public in WLCI proceedings.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085073","collaboration":"With contributions by the Wyoming Landscape Conservation Initiative Participants","usgsCitation":"D’Erchia, F., 2008, Wyoming Landscape Conservation Initiative Science Workshop Proceedings, May 15-17, 2007 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5073, vi, 96 p., https://doi.org/10.3133/sir20085073.","productDescription":"vi, 96 p.","temporalStart":"2007-05-15","temporalEnd":"2007-05-17","costCenters":[{"id":172,"text":"Central Region","active":false,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":11993,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5073/","linkFileType":{"id":5,"text":"html"}},{"id":124704,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5073.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a34e4b07f02db619ce7","contributors":{"authors":[{"text":"D’Erchia, Frank fderchia@usgs.gov","contributorId":1161,"corporation":false,"usgs":true,"family":"D’Erchia","given":"Frank","email":"fderchia@usgs.gov","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":300818,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97022,"text":"ofr20081174 - 2008 - Enhanced sidescan-sonar imagery, north-central Long Island Sound","interactions":[],"lastModifiedDate":"2025-09-10T16:19:41.707421","indexId":"ofr20081174","displayToPublicDate":"2008-10-16T00:00:00","publicationYear":"2008","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":"2008-1174","title":"Enhanced sidescan-sonar imagery, north-central Long Island Sound","docAbstract":"The U.S. Geological Survey, National Oceanic and Atmospheric Administration (NOAA), and Connecticut Department of Environmental Protection have been working cooperatively to map the sea-floor geology within Long Island Sound. Sidescan-sonar imagery collected during three NOAA hydrographic surveys (H11043, H11044, and H11045) was used to interpret the surficial-sediment distribution and sedimentary environments within the Sound. The original sidescan-sonar imagery generated by NOAA was used to evaluate hazards to navigation, which does not require consistent tonal matching throughout the survey. In order to fully utilize these data for geologic interpretation, artifacts within the imagery, primarily due to sidescan-system settings (for example, gain changes), processing techniques (for example, lack of across-track normalization) and environmental noise (for example, sea state), need to be minimized. Sidescan-sonar imagery from surveys H11043, H11044, and H11045 in north-central Long Island Sound was enhanced by matching the grayscale tones between adjacent sidescan-sonar lines to decrease the patchwork effect caused by numerous artifacts and to provide a more coherent sidescan-sonar image for use in geologic interpretation.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081174","usgsCitation":"McMullen, K., Poppe, L., Schattgen, P., and Doran, E.F., 2008, Enhanced sidescan-sonar imagery, north-central Long Island Sound: U.S. Geological Survey Open-File Report 2008-1174, HTML Document, https://doi.org/10.3133/ofr20081174.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-007293","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11990,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1174/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York, Connecticut","otherGeospatial":"north-central Long Island Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,40.5 ], [ -74,41.666666666666664 ], [ -72,41.666666666666664 ], [ -72,40.5 ], [ -74,40.5 ] ] ] } } ] }","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602829","contributors":{"authors":[{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":300814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":300815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schattgen, P.T.","contributorId":16525,"corporation":false,"usgs":true,"family":"Schattgen","given":"P.T.","email":"","affiliations":[],"preferred":false,"id":300812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doran, E. F.","contributorId":31066,"corporation":false,"usgs":true,"family":"Doran","given":"E.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":300813,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97023,"text":"sir20085164 - 2008 - An evaluation of selected extraordinary floods in the United States reported by the U.S. Geological Survey and implications for future advancement of flood science","interactions":[],"lastModifiedDate":"2021-01-04T13:19:32.50796","indexId":"sir20085164","displayToPublicDate":"2008-10-16T00:00:00","publicationYear":"2008","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":"2008-5164","displayTitle":"An Evaluation of Selected Extraordinary Floods in the United States Reported by the U.S. Geological Survey and Implications for Future Advancement of Flood Science","title":"An evaluation of selected extraordinary floods in the United States reported by the U.S. Geological Survey and implications for future advancement of flood science","docAbstract":"Thirty flood peak discharges determine the envelope curve of maximum floods documented in the United States by the U.S. Geological Survey. These floods occurred from 1927 to 1978 and are extraordinary not just in their magnitude, but in their hydraulic and geomorphic characteristics. The reliability of the computed discharge of these extraordinary floods was reviewed and evaluated using current (2007) best practices. Of the 30 flood peak discharges investigated, only 7 were measured at daily streamflow-gaging stations that existed when the flood occurred, and 23 were measured at miscellaneous (ungaged) sites. Methods used to measure these 30 extraordinary flood peak discharges consisted of 21 slope-area measurements, 2 direct current-meter measurements, 1 culvert measurement, 1 rating-curve extension, and 1 interpolation and rating-curve extension. The remaining four peak discharges were measured using combinations of culvert, slope-area, flow-over-road, and contracted-opening measurements. The method of peak discharge determination for one flood is unknown.
Changes to peak discharge or rating are recommended for 20 of the 30 flood peak discharges that were evaluated. Nine floods retained published peak discharges, but their ratings were downgraded. For two floods, both peak discharge and rating were corrected and revised. Peak discharges for five floods that are subject to significant uncertainty due to complex field and hydraulic conditions, were re-rated as estimates. This study resulted in 5 of the 30 peak discharges having revised values greater than about 10 percent different from the original published values. Peak discharges were smaller for three floods (North Fork Hubbard Creek, Texas; El Rancho Arroyo, New Mexico; South Fork Wailua River, Hawaii), and two peak discharges were revised upward (Lahontan Reservoir tributary, Nevada; Bronco Creek, Arizona). Two peak discharges were indeterminate because they were concluded to have been debris flows with peak discharges that were estimated by an inappropriate method (slope-area) (Big Creek near Waynesville, North Carolina; Day Creek near Etiwanda, California). Original field notes and records could not be found for three of the floods, however, some data (copies of original materials, records of reviews) were available for two of these floods. A rating was assigned to each of seven peak discharges that had no rating.
Errors identified in the reviews include misidentified flow processes, incorrect drainage areas for very small basins, incorrect latitude and longitude, improper field methods, arithmetic mistakes in hand calculations, omission of measured high flows when developing rating curves, and typographical errors. Common problems include use of two-section slope-area measurements, poor site selection, uncertainties in Manning’s n-values, inadequate review, lost data files, and insufficient and inadequately described high-water marks. These floods also highlight the extreme difficulty in making indirect discharge measurements following extraordinary floods. Significantly, none of the indirect measurements are rated better than fair, which indicates the need to improve methodology to estimate peak discharge. Highly unsteady flow and resulting transient hydraulic phenomena, two-dimensional flow patterns, debris flows at streamflow-gaging stations, and the possibility of disconnected flow surfaces are examples of unresolved problems not well handled by current indirect discharge methodology. On the basis of a comprehensive review of 50,000 annual peak discharges and miscellaneous floods in California, problems with individual flood peak discharges would be expected to require a revision of discharge or rating curves at a rate no greater than about 0.10 percent of all floods.
Many extraordinary floods create complex flow patterns and processes that cannot be adequately documented with quasi-steady, uniform one-dimensional analyses. These floods are most accurately described by multidimensional flow analysis.
Within the U.S. Geological Survey, new approaches are needed to collect more accurate data for floods, particularly extraordinary floods. In recent years, significant progress has been made in instrumentation for making direct discharge measurements. During this same period, very little has been accomplished in advancing methods to improve indirect discharge measurements. Greater use of paleoflood hydrology could fill many shortcomings of U.S. Geological Survey flood science today, such as enhanced knowledge of flood frequency. Additional links among flood runoff, storm structure, and storm motion would provide more insight to flood hazards. Significant improvement in understanding flood processes and characteristics could be gained from linking radar rainfall estimation and hydrologic modeling. Additionally, more could be done to provide real-time flood-hazard warnings with linked rainfall/runoff and flow models.
Several important recommendations are made to improve the flood-documentation capability of the U.S. Geological Survey. When very large discharges are measured by current meter or hydroacoustics, water-surface slope should be measured as well. This measurement would allow validation of roughness values that can significantly extend the discharge range of verified Manning’s n for 1-dimensional and 2-dimensional flow analyses. At least two of the floods investigated may have had flow so unstable that large waves affected the interpretation of high-water marks. Instability criteria should be considered for hydraulic analysis of large flows in high-gradient, smooth channels.
The U.S. Geological Survey needs to modernize its toolbox of field and office practices for making future indirect discharge measurements. These practices could include, first and foremost, a new peak-flow file database that allows greater description and interpretation of flow events, such as stability criteria in high-gradient, smooth channels, debris flow documentation, and details of flood genesis (hurricane, snowmelt, rain-on-snow, dam failure, and the like). Other modernized practices could include (a) establishment of calibrated stream reaches in chronic flash flood basins to expedite indirect computation of flow; (b) development of process-based theoretical rating curves for streamflow-gaging stations; (c) adoption of step-backwater models as the standard surface-water modeling tool for U.S. Geological Survey field offices; (d) development and support for multidimensional flow models capable of describing flood characteristics in complex terrain and high-gradient channels; (e) greater use of the critical-depth method in appropriate locations; (f) deployment of non-contact instruments to directly measure large floods, rather than attempting to reconstruct them; (g) increased use of paleoflood hydrology; and (h) assurance that future collection of hydro-climatic data meets the needs of more robust watershed models.
Big Bend National Park (BBNP), Tex., covers 801,163 acres (3,242 km2) and was established in 1944 through a transfer of land from the State of Texas to the United States. The park is located along a 118-mile (190-km) stretch of the Rio Grande at the United States-Mexico border. The park is in the Chihuahuan Desert, an ecosystem with high mountain ranges and basin environments containing a wide variety of native plants and animals, including more than 1,200 species of plants, more than 450 species of birds, 56 species of reptiles, and 75 species of mammals. In addition, the geology of BBNP, which varies widely from high mountains to broad open lowland basins, also enhances the beauty of the park. For example, the park contains the Chisos Mountains, which are dominantly composed of thick outcrops of Tertiary extrusive and intrusive igneous rocks that reach an altitude of 7,832 ft (2,387 m) and are considered the southernmost mountain range in the United States. Geologic features in BBNP provide opportunities to study the formation of mineral deposits and their environmental effects; the origin and formation of sedimentary and igneous rocks; Paleozoic, Mesozoic, and Cenozoic fossils; and surface and ground water resources. Mineral deposits in and around BBNP contain commodities such as mercury (Hg), uranium (U), and fluorine (F), but of these, the only significant mining has been for Hg. Because of the biological and geological diversity of BBNP, more than 350,000 tourists visit the park each year. The U.S. Geological Survey (USGS) has been investigating a number of broad and diverse geologic, geochemical, and geophysical topics in BBNP to provide fundamental information needed by the National Park Service (NPS) to address resource management goals in this park. Scientists from the USGS Mineral Resources and National Cooperative Geologic Mapping Programs have been working cooperatively with the NPS and several universities on several research studies within BBNP. Because the last geologic map of the entire BBNP was published in the 1960s, one of the primary goals of the USGS is to provide a new geologic map of BBNP at a scale 1:100,000; this work is ongoing among the USGS, NPS, the Texas Bureau of Economic Geology, and university scientists. This USGS Circular summarizes eight studies funded and primarily carried out by the USGS, but it is not intended to be a comprehensive reference of work conducted in BBNP. This Circular describes topical research of the recently completed interdisciplinary USGS project, which has provided information leading to a more complete understanding of the following topics in BBNP:
Additional information and the geochemical and geophysical data of the USGS studies in BBNP are available on line at http://minerals.cr.usgs.gov/projects/big_bend/index.html.
The occurrence and potential effects of current-use pesticides are of concern in the San Francisco Estuary watershed but our understanding of the spatial and temporal distribution of contamination is limited. This paper summarizes almost two decades of historical data and uses it to describe our current knowledge of the processes controlling the occurrence of current-use pesticides in the watershed. Monitoring studies analyze fewer than half of the pesticides applied in the watershed and most of our knowledge is about inputs of dissolved pesticides in the upper watershed. The four major seasonal patterns of riverine inputs of pesticides to the estuary can be identified by usage and transport mechanism. Dormant spray insecticides applied to orchards and herbicides applied to a variety of crops are transported by rainfall during the winter. Alfalfa pesticides are detected following rainfall and irrigation return flow in the spring, and rice pesticides are detected following release of rice field water in the summer. Irrigation return flows transport a variety of herbicides during the summer. In addition, pesticides applied on Delta islands can cause elevated pesticide concentrations in localized areas. Although not as well characterized, urban creeks appear to have their own patterns of insecticide concentrations causing toxicity throughout most of the year. Current-use pesticides have also been detected on suspended and bed sediments throughout the watershed but limited data make it difficult to determine occurrence patterns. Data gaps include the lack of analysis of many pesticides (or degradates), changing pesticide use, limited information on pesticide transport within the Delta, and an incomplete understanding of the transport and persistence of sediment-associated pesticides. Future monitoring programs should be designed to address these data gaps.
","language":"English","publisher":"John Muir Institute of the Environment","usgsCitation":"Kuivila, K., and Hladik, M., 2008, Understanding the occurrence and transport of current-use pesticides in the San Francisco estuary watershed: San Francisco Estuary and Watershed Science, v. 6, no. 3, 19 p.","productDescription":"19 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":357600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357599,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://escholarship.org/uc/item/06n8b36k"}],"country":"United States","state":"California","volume":"6","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10d19de4b034bf6a7f9207","contributors":{"authors":[{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86672,"text":"ofr20081254 - 2008 - Potential effects of a scenario earthquake on the economy of southern California: Intraregional commuter, worker, and earnings flow analysis","interactions":[],"lastModifiedDate":"2022-06-10T20:59:52.441809","indexId":"ofr20081254","displayToPublicDate":"2008-10-11T00:00:00","publicationYear":"2008","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":"2008-1254","title":"Potential effects of a scenario earthquake on the economy of southern California: Intraregional commuter, worker, and earnings flow analysis","docAbstract":"The Multi-Hazards Demonstration Project (MHDP) is a collaboration between the U.S. Geological Survey (USGS) and various partners from the public and private sectors and academia, meant to improve Southern California's resiliency to natural hazards (Jones and others, 2007). In support of the MHDP objectives, the ShakeOut Scenario was developed. It describes a magnitude 7.8 (M7.8) earthquake along the southernmost 300 kilometers (200 miles) of the San Andreas Fault, identified by geoscientists as a plausible event that will cause moderate to strong shaking over much of the eight-county (Imperial, Kern, Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura) Southern California region (Jones and others, 2008). This report uses selected datasets from the U.S. Census Bureau and the State of California's Employment Development Department to develop preliminary estimates of the number and spatial distribution of commuters who cross the San Andreas Fault and to characterize these commuters by the industries in which they work and their total earnings. The analysis concerns the relative exposure of the region's economy to the effects of the earthquake as described by the location, volume, and earnings of those commuters who work in each of the region's economic sectors. It is anticipated that damage to transportation corridors traversing the fault would lead to at least short-term disruptions in the ability of commuters to travel between their places of residence and work.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081254","usgsCitation":"Sherrouse, B.C., and Hester, D.J., 2008, Potential effects of a scenario earthquake on the economy of southern California: Intraregional commuter, worker, and earnings flow analysis (Version 1.0): U.S. Geological Survey Open-File Report 2008-1254, iv, 14 p., https://doi.org/10.3133/ofr20081254.","productDescription":"iv, 14 p.","onlineOnly":"Y","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":194990,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402075,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84934.htm"},{"id":11883,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1254/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.1950,\n 32.5344\n ],\n [\n -114.1306,\n 32.5344\n ],\n [\n -114.1306,\n 35.7883\n ],\n [\n -120.1950,\n 35.7883\n ],\n [\n -120.1950,\n 32.5344\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683946","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":297455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hester, D. J. 0000-0003-0249-7164 dhester@usgs.gov","orcid":"https://orcid.org/0000-0003-0249-7164","contributorId":2447,"corporation":false,"usgs":true,"family":"Hester","given":"D.","email":"dhester@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86671,"text":"sim3042 - 2008 - Base of principal aquifer for the Elkhorn-Loup model area, North-Central Nebraska","interactions":[],"lastModifiedDate":"2020-03-19T09:17:03","indexId":"sim3042","displayToPublicDate":"2008-10-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3042","title":"Base of principal aquifer for the Elkhorn-Loup model area, North-Central Nebraska","docAbstract":"In Nebraska, the water managers in the Natural Resources Districts and the Nebraska Department of Natural Resources are concerned with the effect of ground-water withdrawal on the availability of surface water and the long-term effects of ground-water withdrawal on ground- and surface-water resources. In north-central Nebraska, in the Elkhorn and Loup River Basins, ground water is used for irrigation, domestic supply, and public supply; surface water is used in this area for irrigation, recreation, and hydropower production. In recognition of these sometimes competing ground- and surface-water uses in the Elkhorn and Loup River Basins, the U.S. Geological Survey, the Lewis and Clark Natural Resources District, the Lower Elkhorn Natural Resources District, the Lower Loup Natural Resources District, the Lower Niobrara Natural Resources District, the Lower Platte North Natural Resources District, the Middle Niobrara Natural Resources District, the Upper Elkhorn Natural Resources District, and the Upper Loup Natural Resources District agreed to cooperatively study water resources in the Elkhorn and Loup River Basins. The goals of the overall study were to construct and calibrate a regional ground-water flow model of the area and to use that flow model as a tool to assess current and future effects of ground-water irrigation on stream base flow and to help develop long-term water-resource management strategies for this area, hereafter referred to as the Elkhorn-Loup model area. \r\n\r\nThe Elkhorn-Loup model area covers approximately 30,800 square miles, and extends from the Niobrara River in the north to the Platte River in the south. The western boundary of the Elkhorn-Loup model area coincides with the western boundary of the Middle Niobrara, Twin Platte, and Upper Loup Natural Resources Districts; the eastern boundary coincides with the approximate location of the western extent of glacial till in eastern Nebraska. The principal aquifer in most of the Elkhorn-Loup model area is the High Plains aquifer; the principal aquifer in the remaining part of the Elkhorn-Loup model area is an unnamed alluvial aquifer. The upper surface of the geologic units that directly underlie the aquifer is called the 'base of aquifer' in this report. The geologic unit that forms the base of aquifer in the Elkhorn-Loup model area varies by location. The Tertiary-age Brule Formation generally is the base of aquifer in the west; the Cretaceous-age Pierre Shale generally is the base of aquifer in the east. \r\n\r\nThe purpose of this report is to update the altitude and configuration of the base of the principal aquifer in the Elkhorn-Loup model area and a 2-mile buffer area around the Elkhorn-Loup model area, using base-of-aquifer data from test holes, registered water wells, and oil and gas wells within the Elkhorn-Loup model area and a 20-mile buffer area around the Elkhorn-Loup model area that have become available since the publication of earlier maps of the base of aquifer for this area. The base-of-aquifer map is important for the Elkhorn-Loup ground-water flow model because it defines the model's lower boundary. The accuracy of the Elkhorn-Loup ground-water flow model and the accuracy of the model's predictions about the effects of ground-water irrigation on stream base flow are directly related to the accuracy of the model's lower boundary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3042","collaboration":"Prepared in cooperation with Lewis and Clark NRD, Lower Elkhorn NRD, Lower Loup NRD, Lower Niobrara NRD, Lower Platte North NRD, Middle Niobrara NRD, Upper Elkhorn NRD, and Upper Loup NRD","usgsCitation":"McGuire, V., and Peterson, S.M., 2008, Base of principal aquifer for the Elkhorn-Loup model area, North-Central Nebraska (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3042, Map Sheet: 74.0 x 38.0 inches, https://doi.org/10.3133/sim3042.","productDescription":"Map Sheet: 74.0 x 38.0 inches","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":190496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":333478,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3042/pdf/plate.pdf"},{"id":11882,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3042/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.5,40.5 ], [ -102.5,43 ], [ -98.91666666666667,43 ], [ -98.91666666666667,40.5 ], [ -102.5,40.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47a3e4b07f02db4963e9","contributors":{"authors":[{"text":"McGuire, V. L. 0000-0002-3962-4158","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":94702,"corporation":false,"usgs":true,"family":"McGuire","given":"V. L.","affiliations":[],"preferred":false,"id":297453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86667,"text":"ds378 - 2008 - Selected Water- and Sediment-Quality, Aquatic Biology, and Mine-Waste Data from the Ely Copper Mine Superfund Site, Vershire, VT, 1998-2007","interactions":[],"lastModifiedDate":"2018-10-29T10:47:47","indexId":"ds378","displayToPublicDate":"2008-10-11T00:00:00","publicationYear":"2008","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":"378","title":"Selected Water- and Sediment-Quality, Aquatic Biology, and Mine-Waste Data from the Ely Copper Mine Superfund Site, Vershire, VT, 1998-2007","docAbstract":"The data contained in this report are a compilation of selected water- and sediment-quality, aquatic biology, and mine-waste data collected at the Ely Copper Mine Superfund site in Vershire, VT, from August 1998 through May 2007. The Ely Copper Mine Superfund site is in eastern, central Vermont (fig. 1) within the Vermont Copper Belt (Hammarstrom and others, 2001). The Ely Copper Mine site was placed on the U.S. Environmental Protection Agency (USEPA) National Priorities List in 2001. Previous investigations conducted at the site documented that the mine is contributing metals and highly acidic waters to local streams (Hammarstrom and others, 2001; Holmes and others, 2002; Piatak and others, 2003, 2004, and 2006). The U.S. Geological Survey (USGS), in cooperation with the USEPA, compiled selected data from previous investigations into uniform datasets that will be used to help characterize the extent of contamination at the mine. The data may be used to determine the magnitude of biological impacts from the contamination and in the development of remediation activities. \r\n\r\nThis report contains analytical data for samples collected from 98 stream locations, 6 pond locations, 21 surface-water seeps, and 29 mine-waste locations. The 98 stream locations are within 3 streams and their tributaries. Ely Brook flows directly through the Ely Copper Mine then into Schoolhouse Brook (fig. 2), which joins the Ompompanoosuc River (fig. 1). The six pond locations are along Ely Brook Tributary 2 (fig. 2). The surface-water seeps and mine-waste locations are near the headwaters of Ely Brook (fig. 2 and fig. 3). The datasets 'Site_Directory' and 'Coordinates' contain specific information about each of the sample locations including stream name, number of meters from the mouth of stream, geographic coordinates, types of samples collected (matrix of sample), and the figure on which the sample location is depicted. \r\n\r\nData have been collected at the Ely Copper Mine Superfund site by the USEPA, the Vermont Department of Environmental Conservation (VTDEC), and the USGS. Data also have been collected on behalf of USEPA by the following agencies: Arthur D. Little Incorporated (ADL), U.S. Army Cold Region Research and Engineering Laboratory (CRREL), URS Corporation (URS), USEPA, and USGS. These data provide information about the aquatic communities and their habitats, including chemical analyses of surface water, pore water, sediments, and fish tissue; assessments of macroinvertebrate and fish assemblages; physical characteristics of sediments; and chemical analyses of soil and soil leachate collected in and around the piles of mine waste.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds378","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Argue, D.M., Kiah, R.G., Piatak, N., Seal, R., Hammarstrom, J.M., Hathaway, E., and Coles, J.F., 2008, Selected Water- and Sediment-Quality, Aquatic Biology, and Mine-Waste Data from the Ely Copper Mine Superfund Site, Vershire, VT, 1998-2007: U.S. Geological Survey Data Series 378, Available online only, https://doi.org/10.3133/ds378.","productDescription":"Available online only","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1998-08-01","temporalEnd":"2007-05-31","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195684,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11878,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/378/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.33333333333333,43.78333333333333 ], [ -72.33333333333333,43.95 ], [ -72.16666666666667,43.95 ], [ -72.16666666666667,43.78333333333333 ], [ -72.33333333333333,43.78333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4cb3","contributors":{"authors":[{"text":"Argue, Denise M. 0000-0002-1096-5362 dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":297438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M.","contributorId":23621,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","affiliations":[],"preferred":false,"id":297440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":297435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":297436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hathaway, Edward","contributorId":63495,"corporation":false,"usgs":true,"family":"Hathaway","given":"Edward","email":"","affiliations":[],"preferred":false,"id":297441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coles, James F. 0000-0002-1953-012X jcoles@usgs.gov","orcid":"https://orcid.org/0000-0002-1953-012X","contributorId":2239,"corporation":false,"usgs":true,"family":"Coles","given":"James","email":"jcoles@usgs.gov","middleInitial":"F.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297437,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":86664,"text":"ofr20081252 - 2008 - Mercury Deposition Network Site Operator Training for the System Blank and Blind Audit Programs","interactions":[],"lastModifiedDate":"2012-02-02T00:14:29","indexId":"ofr20081252","displayToPublicDate":"2008-10-09T00:00:00","publicationYear":"2008","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":"2008-1252","title":"Mercury Deposition Network Site Operator Training for the System Blank and Blind Audit Programs","docAbstract":"The U.S. Geological Survey operates the external quality assurance project for the National Atmospheric Deposition Program/Mercury Deposition Network. The project includes the system blank and blind audit programs for assessment of total mercury concentration data quality for wet-deposition samples. This presentation was prepared to train new site operators and to refresh experienced site operators to successfully process and submit system blank and blind audit samples for chemical analysis. Analytical results are used to estimate chemical stability and contamination levels of National Atmospheric Deposition Program/Mercury Deposition Network samples and to evaluate laboratory variability and bias.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081252","collaboration":"In association with The National Atmospheric Deposition Program","usgsCitation":"Wetherbee, G.A., and Lehmann, C.M., 2008, Mercury Deposition Network Site Operator Training for the System Blank and Blind Audit Programs (Version 1.0): U.S. Geological Survey Open-File Report 2008-1252, Available online and on CD-ROM;\r\nDownloads Directory: ReadMe & Windows Media Video file, https://doi.org/10.3133/ofr20081252.","productDescription":"Available online and on CD-ROM;\r\nDownloads Directory: ReadMe & Windows Media Video file","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":11873,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1252/","linkFileType":{"id":5,"text":"html"}},{"id":195224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db613dfe","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":297428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehmann, Christopher M.B.","contributorId":84859,"corporation":false,"usgs":true,"family":"Lehmann","given":"Christopher","email":"","middleInitial":"M.B.","affiliations":[],"preferred":false,"id":297429,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86665,"text":"fs20083069 - 2008 - U.S.-Mexico Border Geographic Information System","interactions":[],"lastModifiedDate":"2016-08-23T12:58:16","indexId":"fs20083069","displayToPublicDate":"2008-10-09T00:00:00","publicationYear":"2008","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":"2008-3069","title":"U.S.-Mexico Border Geographic Information System","docAbstract":"Geographic Information Systems (GIS) and the development of extensive geodatabases have become invaluable tools for addressing a variety of contemporary societal issues and for making predictions about the future. The United States-Mexico Geographic Information System (USMX-GIS) is based on fundamental datasets that are produced and/or approved by the national geography agencies of each country, the U.S. Geological Survey (USGS) and the Instituto Nacional de Estadistica Y Geografia (INEGI) of Mexico, and the International Boundary and Water Commission (IBWC). The data are available at various scales to allow both regional and local analysis. The USGS and the INEGI have an extensive history of collaboration for transboundary mapping including exchanging digital technology and developing methods for harmonizing seamless national level geospatial datasets for binational environmental monitoring, urban growth analysis, and other scientific applications.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083069","usgsCitation":"Parcher, J.W., 2008, U.S.-Mexico Border Geographic Information System (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3069, 4 p., https://doi.org/10.3133/fs20083069.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":121184,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3069.jpg"},{"id":327663,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3069/pdf/fs2008-3069_english.pdf","text":"Fact Sheet English version","size":"996 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":327664,"rank":102,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3069/pdf/fs2008-3069_spanish.pdf","text":"Fact Sheet Spanish version","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":11874,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3069/","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.5,30 ], [ -112.5,34 ], [ -107.5,34 ], [ -107.5,30 ], [ -112.5,30 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611e3b","contributors":{"authors":[{"text":"Parcher, Jean W. jwparcher@usgs.gov","contributorId":2209,"corporation":false,"usgs":true,"family":"Parcher","given":"Jean","email":"jwparcher@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":297430,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86663,"text":"sim3045 - 2008 - Three-Dimensional Geologic Map of the Hayward Fault Zone, San Francisco Bay Region, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"sim3045","displayToPublicDate":"2008-10-09T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3045","title":"Three-Dimensional Geologic Map of the Hayward Fault Zone, San Francisco Bay Region, California","docAbstract":"A three-dimensional (3D) geologic map of the Hayward Fault zone was created by integrating the results from geologic mapping, potential field geophysics, and seismology investigations. The map volume is 100 km long, 20 km wide, and extends to a depth of 12 km below sea level. The map volume is oriented northwest and is approximately bisected by the Hayward Fault. The complex geologic structure of the region makes it difficult to trace many geologic units into the subsurface. Therefore, the map units are generalized from 1:24,000-scale geologic maps. Descriptions of geologic units and structures are offered, along with a discussion of the methods used to map them and incorporate them into the 3D geologic map. The map spatial database and associated viewing software are provided. Elements of the map, such as individual fault surfaces, are also provided in a non-proprietary format so that the user can access the map via open-source software. The sheet accompanying this manuscript shows views taken from the 3D geologic map for the user to access. The 3D geologic map is designed as a multi-purpose resource for further geologic investigations and process modeling.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sim3045","usgsCitation":"Phelps, G.A., Graymer, R., Jachens, R., Ponce, D., Simpson, R., and Wentworth, C., 2008, Three-Dimensional Geologic Map of the Hayward Fault Zone, San Francisco Bay Region, California (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3045, Report: 34 p.; Map: 46 x 36 inches, https://doi.org/10.3133/sim3045.","productDescription":"Report: 34 p.; Map: 46 x 36 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":110793,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84766.htm","linkFileType":{"id":5,"text":"html"},"description":"84766"},{"id":195683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11872,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3045/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.6,37.2 ], [ -122.6,38.4 ], [ -121.6,38.4 ], [ -121.6,37.2 ], [ -122.6,37.2 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa88e","contributors":{"authors":[{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graymer, R. W.","contributorId":21174,"corporation":false,"usgs":true,"family":"Graymer","given":"R. W.","affiliations":[],"preferred":false,"id":297422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jachens, R.C.","contributorId":55433,"corporation":false,"usgs":true,"family":"Jachens","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":297423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ponce, D. A. 0000-0003-4785-7354","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":104019,"corporation":false,"usgs":true,"family":"Ponce","given":"D. A.","affiliations":[],"preferred":false,"id":297426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simpson, R.W.","contributorId":76738,"corporation":false,"usgs":true,"family":"Simpson","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":297425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wentworth, C. M. 0000-0003-2569-569X","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":106466,"corporation":false,"usgs":true,"family":"Wentworth","given":"C. M.","affiliations":[],"preferred":false,"id":297427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":86668,"text":"fs20083067 - 2008 - StreamStats: A water resources web application","interactions":[{"subject":{"id":86668,"text":"fs20083067 - 2008 - StreamStats: A water resources web application","indexId":"fs20083067","publicationYear":"2008","noYear":false,"displayTitle":"StreamStats: A Water Resources Web Application","title":"StreamStats: A water resources web application"},"predicate":"SUPERSEDED_BY","object":{"id":70188553,"text":"fs20173046 - 2017 - StreamStats, version 4","indexId":"fs20173046","publicationYear":"2017","noYear":false,"title":"StreamStats, version 4"},"id":1}],"supersededBy":{"id":70188553,"text":"fs20173046 - 2017 - StreamStats, version 4","indexId":"fs20173046","publicationYear":"2017","noYear":false,"title":"StreamStats, version 4"},"lastModifiedDate":"2023-03-09T20:31:52.998038","indexId":"fs20083067","displayToPublicDate":"2008-10-08T09:45:00","publicationYear":"2008","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":"2008-3067","displayTitle":"StreamStats: A Water Resources Web Application","title":"StreamStats: A water resources web application","docAbstract":"Streamflow statistics, such as the 1-percent flood, the mean flow, and the 7-day 10-year low flow, are used by engineers, land managers, biologists, and many others to help guide decisions in their everyday work. For example, estimates of the 1-percent flood (the flow that is exceeded, on average, once in 100 years and has a 1-percent chance of being exceeded in any year, sometimes referred to as the 100-year flood) are used to create flood-plain maps that form the basis for setting insurance rates and land-use zoning. This and other streamflow statistics also are used for dam, bridge, and culvert design; water-supply planning and management; water-use appropriations and permitting; wastewater and industrial discharge permitting; hydropower facility design and regulation; and the setting of minimum required streamflows to protect freshwater ecosystems. In addition, researchers, planners, regulators, and others often need to know the physical and climatic characteristics of the drainage basins (basin characteristics) and the influence of human activities, such as dams and water withdrawals, on streamflow upstream from locations of interest to understand the mechanisms that control water availability and quality at those locations. Knowledge of the streamflow network and downstream human activities also is necessary to adequately determine whether an upstream activity, such as a water withdrawal, can be allowed without adversely affecting downstream activities.
Streamflow statistics could be needed at any location along a stream. Most often, streamflow statistics are needed at ungaged sites, where no streamflow data are available to compute the statistics. At U.S. Geological Survey (USGS) streamflow data-collection stations, which include streamgaging stations, partial-record stations, and miscellaneous-measurement stations, streamflow statistics can be computed from available data for the stations. Streamflow data are collected continuously at streamgaging stations. Streamflow measurements are collected systematically over a period of years at partial-record stations to estimate peak-flow or low-flow statistics. Streamflow measurements usually are collected at miscellaneous-measurement stations for specific hydrologic studies with various objectives.
StreamStats is a Web-based Geographic Information System (GIS) application (fig. 1) that was created by the USGS, in cooperation with Environmental Systems Research Institute, Inc. (ESRI)1, to provide users with access to an assortment of analytical tools that are useful for water-resources planning and management. StreamStats functionality is based on ESRI's ArcHydro Data Model and Tools, described on the Web at http://support.esri.com/index.cfm?fa=downloads.dataModels.filteredGateway&dmid=15. StreamStats allows users to easily obtain streamflow statistics, basin characteristics, and descriptive information for USGS data-collection stations and user-selected ungaged sites. It also allows users to identify stream reaches that are upstream and downstream from user-selected sites, and to identify and obtain information for locations along the streams where activities that may affect streamflow conditions are occurring. This functionality can be accessed through a map-based user interface that appears in the user’s Web browser (fig. 1), or individual functions can be requested remotely as Web services by other Web or desktop computer applications. StreamStats can perform these analyses much faster than historically used manual techniques.
StreamStats was designed so that each state would be implemented as a separate application, with a reliance on local partnerships to fund the individual applications, and a goal of eventual full national implementation. Idaho became the first state to implement StreamStats in 2003. By mid-2008, 14 states had applications available to the public, and 18 other states were in various stages of implementation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083067","usgsCitation":"Ries, K.G., III, Guthrie, J.D., Rea, A.H., Steeves, P.A., Stewart, D.W., 2008, StreamStats: A water resources web application: U.S. Geological Survey Fact Sheet 2008-3067, 6 p.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":124592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3067.jpg"},{"id":347702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3067/pdf/fs-2008-3067-508.pdf","text":"Report","size":"716 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2008-3067"}],"contact":"StreamStats
MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
Analysts and managers of surface-water resources have interest in annual mean and annual harmonic mean statistics of daily mean streamflow for U.S. Geological Survey (USGS) streamflow-gaging stations in Texas. The mean streamflow represents streamflow volume, whereas the harmonic mean streamflow represents an appropriate statistic for assessing constituent concentrations that might adversely affect human health. In 2008, the USGS, in cooperation with the Texas Commission on Environmental Quality, conducted a large-scale documentation of mean and harmonic mean streamflow for 620 active and inactive, continuous-record, streamflow-gaging stations using period of record data through water year 2007. About 99 stations within the Texas USGS streamflow-gaging network are part of the larger national Hydroclimatic Data Network and are identified. The graphical depictions of annual mean and annual harmonic mean statistics in this report provide a historical perspective of streamflow at each station. Each figure consists of three time-series plots, two flow-duration curves, and a statistical summary of the mean annual and annual harmonic mean streamflow statistics for available data for each station.The first time-series plot depicts daily mean streamflow for the period 1900-2007. Flow-duration curves follow and are a graphical depiction of streamflow variability. Next, the remaining two time-series plots depict annual mean and annual harmonic mean streamflow and are augmented with horizontal lines that depict mean and harmonic mean for the period of record. Monotonic trends for the annual mean streamflow and annual harmonic mean streamflow also are identified using Kendall's tau, and the slope of the trend is depicted using the nonparametric (linear) Theil-Sen line, which is only drawn for p-values less than .10 of tau. The history of annual mean and annual harmonic mean streamflow of one or more streamflow-gaging stations could be used in a watershed, river basin, or other regional context by analysts and managers of surface-water resources to guide scientific, regulatory, or other inquiries of streamflow conditions in Texas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds372","collaboration":"Prepared in cooperation with the Texas Commission on Environmental Quality","usgsCitation":"Asquith, W.H., and Heitmuller, F.T., 2008, Summary of annual mean and annual harmonic mean statistics of daily mean streamflow for 620 U.S. Geological Survey streamflow-gaging stations in Texas through water year 2007 (Version 1.0): U.S. Geological Survey Data Series 372, Report: xxviii, 1259 p.; Downloads Directory, https://doi.org/10.3133/ds372.","productDescription":"Report: xxviii, 1259 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":190698,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds372.png"},{"id":327660,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/372/pdf/ds372.pdf","size":"204 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":327661,"rank":102,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/372/downloads/","text":"Downloads Directory"},{"id":11857,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/372/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.66666666666667,25.833333333333332 ], [ -106.66666666666667,36.5 ], [ -93.5,36.5 ], [ -93.5,25.833333333333332 ], [ -106.66666666666667,25.833333333333332 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db69955d","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heitmuller, Franklin T.","contributorId":67476,"corporation":false,"usgs":true,"family":"Heitmuller","given":"Franklin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":297359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86278,"text":"ofr20081310 - 2008 - A Bernoulli Formulation of the Land-Use Portfolio Model","interactions":[],"lastModifiedDate":"2012-02-02T00:14:26","indexId":"ofr20081310","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","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":"2008-1310","title":"A Bernoulli Formulation of the Land-Use Portfolio Model","docAbstract":"Decision making for natural-hazards mitigation can be sketched as knowledge available in advance (a priori), knowledge available later (a posteriori), and how consequences of the mitigation decision might be viewed once future outcomes are known. Two outcomes - mitigating for a hazard event that will occur, and not mitigating for a hazard event that will not occur - can be considered narrowly correct. Two alternative outcomes - mitigating for a hazard event that will not occur, and not mitigating for a hazard event that will occur - can be considered narrowly incorrect. The dilemma facing the decision maker is that mitigation choices must be made before the event, and often must be made with imperfect statistical techniques and imperfect data.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081310","usgsCitation":"Champion, R.A., 2008, A Bernoulli Formulation of the Land-Use Portfolio Model (Version 1.0): U.S. Geological Survey Open-File Report 2008-1310, iii, 25 p., https://doi.org/10.3133/ofr20081310.","productDescription":"iii, 25 p.","onlineOnly":"Y","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":11862,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1310/","linkFileType":{"id":5,"text":"html"}},{"id":195661,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd494ce4b0b290850ef07e","contributors":{"authors":[{"text":"Champion, Richard A. rchampio@usgs.gov","contributorId":2537,"corporation":false,"usgs":true,"family":"Champion","given":"Richard","email":"rchampio@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":297387,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86277,"text":"ofr20081308 - 2008 - Description of Existing Data for Integrated Landscape Monitoring in the Puget Sound Basin, Washington","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ofr20081308","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","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":"2008-1308","title":"Description of Existing Data for Integrated Landscape Monitoring in the Puget Sound Basin, Washington","docAbstract":"This report summarizes existing geospatial data and monitoring programs for the Puget Sound Basin in northwestern Washington. This information was assembled as a preliminary data-development task for the U.S. Geological Survey (USGS) Puget Sound Integrated Landscape Monitoring (PSILM) pilot project. The PSILM project seeks to support natural resource decision-making by developing a 'whole system' approach that links ecological processes at the landscape level to the local level (Benjamin and others, 2008). Part of this effort will include building the capacity to provide cumulative information about impacts that cross jurisdictional and regulatory boundaries, such as cumulative effects of land-cover change and shoreline modification, or region-wide responses to climate change. \r\n\r\nThe PSILM project study area is defined as the 23 HUC-8 (hydrologic unit code) catchments that comprise the watersheds that drain into Puget Sound and their near-shore environments. The study area includes 13 counties and more than four million people. One goal of the PSILM geospatial database is to integrate spatial data collected at multiple scales across the Puget Sound Basin marine and terrestrial landscape. \r\n\r\nThe PSILM work plan specifies an iterative process that alternates between tasks associated with data development and tasks associated with research or strategy development. For example, an initial work-plan goal was to delineate the study area boundary. Geospatial data required to address this task included data from ecological regions, watersheds, jurisdictions, and other boundaries. This assemblage of data provided the basis for identifying larger research issues and delineating the study-area boundary based on these research needs. Once the study-area boundary was agreed upon, the next iteration between data development and research activities was guided by questions about data availability, data extent, data abundance, and data types.\r\n\r\nThis report is not intended as an exhaustive compilation of all available geospatial data, rather, it is a collection of information about geospatial data that can be used to help answer the suite of questions posed after the study-area boundary was defined. This information will also be useful to the PSILM team for future project tasks, such as assessing monitoring gaps, exploring monitoring-design strategies, identifying and deriving landscape indicators and metrics, and visual geographic communication.\r\n\r\nThe two main geospatial data types referenced in this report - base-reference layers and monitoring data - originated from numerous and varied sources. In addition to collecting information and metadata about the base-reference layers, the data also were collected for project needs, such as developing maps for visual communication among team members and with outside groups. In contrast, only information about the data was typically required for the monitoring data. The information on base-reference layers and monitoring data included in this report is only as detailed as what was readily available from the sources themselves. Although this report may appear to lack consistency between data records, the varying degree of details contained in this report are merely a reflection of varying source detail.\r\n\r\nThis compilation is just a beginning. All data listed also are being catalogued in spreadsheets and knowledge-management systems. Our efforts are continual as we develop a geospatial catalog for the PSILM pilot project.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081308","usgsCitation":"Aiello, D., Torregrosa, A.A., Jason, A.L., Fuentes, T.L., and Josberger, E.G., 2008, Description of Existing Data for Integrated Landscape Monitoring in the Puget Sound Basin, Washington (Version 1.0): U.S. Geological Survey Open-File Report 2008-1308, ix, 105 p., https://doi.org/10.3133/ofr20081308.","productDescription":"ix, 105 p.","onlineOnly":"Y","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":11861,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1308/","linkFileType":{"id":5,"text":"html"}},{"id":195167,"rank":0,"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\": [ [ [ -124.5,44 ], [ -124.5,49 ], [ -119,49 ], [ -119,44 ], [ -124.5,44 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66da10","contributors":{"authors":[{"text":"Aiello, Danielle P.","contributorId":107243,"corporation":false,"usgs":true,"family":"Aiello","given":"Danielle P.","affiliations":[],"preferred":false,"id":297386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":297383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jason, Allyson L. ajason@usgs.gov","contributorId":5754,"corporation":false,"usgs":true,"family":"Jason","given":"Allyson","email":"ajason@usgs.gov","middleInitial":"L.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":297384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuentes, Tracy L.","contributorId":8952,"corporation":false,"usgs":true,"family":"Fuentes","given":"Tracy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":297385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Josberger, Edward G. ejosberg@usgs.gov","contributorId":1710,"corporation":false,"usgs":true,"family":"Josberger","given":"Edward","email":"ejosberg@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":297382,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86281,"text":"ofr20081305 - 2008 - Mormon cricket control in Utah's west desert - Evaluation of impacts of the pesticide Diflubenzuron on nontarget arthropod communities","interactions":[],"lastModifiedDate":"2017-04-11T09:51:55","indexId":"ofr20081305","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","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":"2008-1305","title":"Mormon cricket control in Utah's west desert - Evaluation of impacts of the pesticide Diflubenzuron on nontarget arthropod communities","docAbstract":"Grasshopper and Mormon cricket (Orthoptera) populations periodically build to extremely high numbers and can cause significant economic damage in rangelands and agricultural fields of the Great Plains and Intermountain West. A variety of insecticides have been applied to control population outbreaks, with recent efforts directed at minimizing impacts to nontarget fauna in treated ecosystems. A relatively new insecticide for control of Orthoptera is diflubenzuron, which acts to inhibit chitin production, ultimately causing death during the molt following ingestion of the insecticide. All arthropods, including insects, mites, and crustaceans, use chitin to build their exoskeletons and will die if they are unable to produce it during the next molt. Diflubenzuron is not taxon specific—it affects all arthropods that ingest it, except adult insects, which do not molt. Consequently, application of this pesticide has the potential to significantly reduce not only target populations but all terrestrial and aquatic arthropods within treatment zones.
Some research has been done in the Great Plains on the impact of diflubenzuron on nontarget arthropods in the context of grasshopper-control programs, but no work has been done in the Great Basin in Mormon cricket-control areas. This study was instigated in anticipation of the need for extensive control of Orthoptera outbreaks in Utah’s west desert during 2005, and it was designed to sample terrestrial and aquatic arthropod communities in both treated and untreated zones. Three areas were sampled: Grouse Creek, Ibapah, and Vernon. High mortality of Mormon cricket eggs in the wet, cool spring of 2005 restricted the need to control Mormon crickets to Grouse Creek. Diflubenzuron was applied (aerial reduced agent-area treatment) in May 2005. Terrestrial and aquatic arthropod communities were sampled before and after application of diflubenzuron in the Grouse Creek area of northwestern Utah in May and June of 2005. In July 2005, U.S. Geological Survey scientists sampled areas in Ibapah and Vernon that had been treated with diflubenzuron in 2004, along with adjacent untreated areas. Pitfall traps at four treated and four untreated sites were used to collect ground-dwelling terrestrial arthropods. Semiquantitative sweep surveys of aquatic habitats were made before treatment, 2 weeks after treatment, and 4 months after treatment (after leaf fall) at Grouse Creek. One-year post-treatment samples were collected by using the same methods for terrestrial and aquatic arthropods at Ibapah and Vernon in July 2005 (treatments applied in June 2004).
More than 124,000 terrestrial arthropods were collected from the three study areas, and more than 200,000 aquatic invertebrates were collected in the aquatic samples. Direct effects of diflubenzuron on aquatic and terrestrial arthropod communities were not apparent in our data from Grouse Creek. The treatment was designed to avoid spraying pesticide on water bodies, and no measurable effects on aquatic communities from either springs or streams were observed, with the exception of the reduction of taxa richness at Vernon (a result confounded by elevational differences in the treatment and nontreatment zones). Some trends indicate diflubenzuron may affect some terrestrial taxa. Ant communities showed some differences, with possible lag effects at Ibapah and Vernon. Forelius was more abundant, while Tapinoma and, perhaps, Formica declined in treated zones in these two study areas. Solenopsis also was more numerous at treated Ibapah sites but varied without pattern at Vernon. Scorpions were abundant at Grouse Creek and Ibapah but rare at Vernon. Numbers did not change during several weeks at Grouse Creek, but at Ibapah, numbers at treated sites were much lower than at untreated sites. The Lygaeidae (in the order Hemiptera) were more abundant in the untreated zones at Ibapah and Vernon, although significantly so only at Ibapah. Lygaeidae were absent from the treated zone at Grouse Creek (before and after treatment) but were present after treatment in the untreated zone. Additional research is recommended to determine more explicitly whether these taxa are sensitive to diflubenzuron applications in the Great Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081305","usgsCitation":"Graham, T.B., Brasher, A., and Close, R.N., 2008, Mormon cricket control in Utah's west desert - Evaluation of impacts of the pesticide Diflubenzuron on nontarget arthropod communities: U.S. Geological Survey Open-File Report 2008-1305, vi, 82 p., https://doi.org/10.3133/ofr20081305.","productDescription":"vi, 82 p.","numberOfPages":"92","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":194837,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":339522,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1305/of2008-1305.pdf"},{"id":11865,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1305/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Grouse Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,38 ], [ -114,42 ], [ -112,42 ], [ -112,38 ], [ -114,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b474d","contributors":{"authors":[{"text":"Graham, Tim B.","contributorId":105003,"corporation":false,"usgs":true,"family":"Graham","given":"Tim","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":297397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":297396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Close, Rebecca N.","contributorId":16803,"corporation":false,"usgs":true,"family":"Close","given":"Rebecca","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":297395,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86274,"text":"ds371 - 2008 - Relational database for the geology of the northern Rocky Mountains— Idaho, Montana, and Washington","interactions":[],"lastModifiedDate":"2021-09-20T11:43:44.330816","indexId":"ds371","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","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":"371","title":"Relational database for the geology of the northern Rocky Mountains— Idaho, Montana, and Washington","docAbstract":"A relational database was created to prepare and organize geologic map-unit and lithologic descriptions for input into a spatial database for the geology of the northern Rocky Mountains, a compilation of forty-three geologic maps for parts of Idaho, Montana, and Washington in U.S. Geological Survey Open File Report 2005-1235. Not all of the information was transferred to and incorporated in the spatial database due to physical file limitations. This report releases that part of the relational database that was completed for that earlier product. In addition to descriptive geologic information for the northern Rocky Mountains region, the relational database contains a substantial bibliography of geologic literature for the area. \r\n\r\nThe relational database nrgeo.mdb (linked below) is available in Microsoft Access version 2000, a proprietary database program. The relational database contains data tables and other tables used to define terms, relationships between the data tables, and hierarchical relationships in the data; forms used to enter data; and queries used to extract data.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds371","usgsCitation":"Causey, J.D., Zientek, M.L., Bookstrom, A.A., Frost, T.P., Evans, K.V., Wilson, A.B., Van Gosen, B.S., Boleneus, D.E., and Pitts, R.A., 2008, Relational database for the geology of the northern Rocky Mountains— Idaho, Montana, and Washington (Version 1.0): U.S. Geological Survey Data Series 371, Report: vi, 37 p.; Database, https://doi.org/10.3133/ds371.","productDescription":"Report: vi, 37 p.; Database","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":195788,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":389456,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84762.htm"},{"id":11858,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/371/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho, Montana, Washington","otherGeospatial":"northern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 42.9167\n ],\n [\n -109,\n 42.9167\n ],\n [\n -109,\n 49\n ],\n [\n -118,\n 49\n ],\n [\n -118,\n 42.9167\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db6349db","contributors":{"authors":[{"text":"Causey, J. Douglas","contributorId":41398,"corporation":false,"usgs":true,"family":"Causey","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":297367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":297365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bookstrom, Arthur A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":297363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frost, Thomas P. 0000-0001-8348-8432 tfrost@usgs.gov","orcid":"https://orcid.org/0000-0001-8348-8432","contributorId":203,"corporation":false,"usgs":true,"family":"Frost","given":"Thomas","email":"tfrost@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":297361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Karl V. kvevans@usgs.gov","contributorId":194,"corporation":false,"usgs":true,"family":"Evans","given":"Karl","email":"kvevans@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":297360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":297364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":297362,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boleneus, David E.","contributorId":87167,"corporation":false,"usgs":true,"family":"Boleneus","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297368,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pitts, Rebecca A.","contributorId":16119,"corporation":false,"usgs":true,"family":"Pitts","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297366,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}