{"pageNumber":"818","pageRowStart":"20425","pageSize":"25","recordCount":46730,"records":[{"id":81820,"text":"cir1320 - 2008 - Report of the Federal Advisory Committee on the Bird Banding Laboratory","interactions":[],"lastModifiedDate":"2012-02-02T00:14:30","indexId":"cir1320","displayToPublicDate":"2008-06-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1320","title":"Report of the Federal Advisory Committee on the Bird Banding Laboratory","docAbstract":"In the fall of 2005, the Directors of the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (FWS) determined that to ensure that the Bird Banding Laboratory (BBL) of the USGS maintains and continues its important support of conservation and management of birds, it should be guided by a clear vision for the future. In order to carry out this task, they impaneled a fourteen-member Federal Advisory Committee (FAC) on the Bird Banding Laboratory. It was made up of representatives of the broad bird-banding community, public and private, and was cochaired by a senior representative from each agency. The Committee met four times and a writing subgroup met three times over the course of its work.\r\n\r\nThe Committee identified a new vision and mission for the BBL and identified six goals that it believes should be integral to the development of a strategic plan to achieve them. Those goals are:\r\n\r\n1. Facilitate the identification of individual birds through marking. \r\n2. Create automated, electronic systems that efficiently verify, accept, store, and manage data associated with individually marked birds. \r\n3. Facilitate access to and use of data from marked birds for science, conservation, and management. \r\n4. Administer permits in an efficient, timely, and modern manner, and use them to ensure that bird welfare and data quality remain top priorities. \r\n5. Work closely with national and international partners to achieve the mission of the BBL. \r\n6. Manage the BBL in an efficient, cost-effective manner to maximize use of available resources.\r\n\r\nMost of the report is structured around these goals.\r\n\r\nThe Committee made 2 programmatic recommendations and identified 23 objectives and 58 specific recommendations. The programmatic recommendations are: (1) that the primary role of the BBL is and should continue to be to support the use of banding and banding data by researchers and managers engaged in science, conservation, and management of birds, and not to play a lead role in original research; and (2) that the BBL be managed nationally by USGS headquarters as a research and operational support unit and provided with the resources appropriate to its national and international\r\nfunctions and responsibilities; it should continue to be located physically at the Patuxent Wildlife Research Center (PWRC).\r\n\r\nIn order to achieve its vision and mission, the Committee believes that the BBL must work towards achieving all of the recommendations in this report. Nevertheless, it identified five objectives\r\nthat stand out as high priority, and they are as follows:\r\n\r\n*Objective 1.1?to ensure a continuing, adequate supply of high-quality, Federally issued numeric bands of required sizes, materials, and types; \r\n*Objective 2.1?to improve mechanisms for verifying, accepting, storing, and managing bird-banding data; \r\n*Objective 2.3?to accommodate recapture data; \r\n*Objective 4.1?to ensure through the permitting process that banders know how to safely handle birds, collect data accurately, and maintain birds in humane and healthful conditions; and \r\n*Objective 5.3?to encourage the development of banding programs in Latin America and the Caribbean.\r\n\r\nFinally, this Committee believes that the BBL will be well served if it continues to support a Federal Advisory Committee, composed similarly to this one, to continue offering guidance and direction from the broad bird-banding community.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/cir1320","isbn":"9781411320321","collaboration":"Prepared in cooperation with The Association of Fish and Wildlife Agencies, National Flyway Council, Cornell Laboratory of Ornithology, The Institute for Bird Populations, Colorado State University, Canadian Wildlife Service, National Audubon Society, Ducks Unlimited, The Wildlife Society, The Ornithological Council, North American Banding Council, The Conservation Fund, U.S. Fish and Wildlife Service, and Pheasants Forever","usgsCitation":"Haseltine, S.D., Schmidt, P.R., Bales, B.D., Bonter, D.N., DeSante, D.F., Doherty, P., Francis, C., Green, P.T., Howes, L., James, D.L., Lament, J.J., Lancia, R.A., Paul, E.I., Ralph, C.J., Rogers, J.G., and Young, R.E., 2008, Report of the Federal Advisory Committee on the Bird Banding Laboratory: U.S. Geological Survey Circular 1320, iv, 20 p., https://doi.org/10.3133/cir1320.","productDescription":"iv, 20 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195280,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11381,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/circ1320/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c668","contributors":{"authors":[{"text":"Haseltine, Susan D.","contributorId":76837,"corporation":false,"usgs":true,"family":"Haseltine","given":"Susan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":295748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Paul R.","contributorId":73298,"corporation":false,"usgs":true,"family":"Schmidt","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":295747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bales, Bradley D.","contributorId":61119,"corporation":false,"usgs":true,"family":"Bales","given":"Bradley","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":295744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonter, David N.","contributorId":87645,"corporation":false,"usgs":true,"family":"Bonter","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":295749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeSante, David F.","contributorId":49065,"corporation":false,"usgs":true,"family":"DeSante","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":295743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doherty, Paul F.","contributorId":107000,"corporation":false,"usgs":true,"family":"Doherty","given":"Paul F.","affiliations":[],"preferred":false,"id":295752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Francis, Charles M.","contributorId":14529,"corporation":false,"usgs":true,"family":"Francis","given":"Charles M.","affiliations":[],"preferred":false,"id":295740,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, Paul T.","contributorId":98406,"corporation":false,"usgs":true,"family":"Green","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":295751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howes, Lesley-Anne","contributorId":68846,"corporation":false,"usgs":true,"family":"Howes","given":"Lesley-Anne","email":"","affiliations":[],"preferred":false,"id":295745,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"James, Daniel L.","contributorId":93987,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":295750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lament, J. Jasper","contributorId":11296,"corporation":false,"usgs":true,"family":"Lament","given":"J.","email":"","middleInitial":"Jasper","affiliations":[],"preferred":false,"id":295737,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lancia, Richard A.","contributorId":14073,"corporation":false,"usgs":true,"family":"Lancia","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":295739,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Paul, Ellen I.","contributorId":19248,"corporation":false,"usgs":true,"family":"Paul","given":"Ellen","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":295741,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ralph, C. John","contributorId":71284,"corporation":false,"usgs":true,"family":"Ralph","given":"C.","email":"","middleInitial":"John","affiliations":[],"preferred":false,"id":295746,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rogers, John G.","contributorId":11297,"corporation":false,"usgs":true,"family":"Rogers","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":295738,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Young, Richard E.","contributorId":41102,"corporation":false,"usgs":true,"family":"Young","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":295742,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":81822,"text":"ofr20081172 - 2008 - Analytical Results for Municipal Biosolids Samples from a Monitoring Program Near Deer Trail, Colorado (USA), 1999 through 2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ofr20081172","displayToPublicDate":"2008-06-04T00:00:00","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":"2008-1172","title":"Analytical Results for Municipal Biosolids Samples from a Monitoring Program Near Deer Trail, Colorado (USA), 1999 through 2006","docAbstract":"Since late 1993, Metro Wastewater Reclamation District of Denver (Metro District), a large wastewater treatment plant in Denver, Colorado, has applied Grade I, Class B biosolids to about 52,000 acres of non-irrigated farmland and rangeland near Deer Trail, Colorado. In cooperation with the Metro District in 1993, the U.S. Geological Survey (USGS) began monitoring ground water at part of this site (Yager and Arnold, 2003). In 1999, the USGS began a more comprehensive monitoring study of the entire site to address stakeholder concerns about the potential chemical effects of biosolids applications. This more comprehensive monitoring program has recently been extended through 2010. Monitoring components of the more comprehensive study include biosolids collected at the wastewater treatment plant, soil, crops, dust, alluvial and bedrock ground water, and stream bed sediment. Streams at the site are dry most of the year, so samples of stream bed sediment deposited after rain were used to indicate surface-water effects. This report will present only analytical results for the biosolids samples collected at the Metro District wastewater treatment plant in Denver and analyzed during 1999 through 2006. More information about the other monitoring components is presented elsewhere in the literature (e.g., Yager and others, 2004a, 2004b, 2004c, 2004d). Priority parameters for biosolids identified by the stakeholders and also regulated by Colorado when used as an agricultural soil amendment include the total concentrations of nine trace elements (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, and zinc), plutonium isotopes, and gross alpha and beta activity. Nitrogen and chromium also were priority parameters for ground water and sediment components.\r\nIn general, the objective of each component of the study was to determine whether concentrations of priority parameters (1) were higher than regulatory limits, (2) were increasing with time, or (3) were significantly higher in biosolids-applied areas than in a similar farmed area where biosolids were not applied.\r\nAnalytical results indicate that the elemental composition of the biosolids from the Denver plant was consistent during 1999-2006, and total concentrations of regulated trace elements were consistently lower than the regulatory limits. Plutonium isotopes were not detected in any of the biosolids samples for the entire sampling period. Analytical results for gross and were highly imprecise and erratic. As a result of the cancelation of regulation requiring their monitoring in biosolids, the determination of both was discontinued mid-study.\r\nData from this study were used to compile an inorganic-chemical biosolids signature that can be contrasted with the geochemical signature for this site. The biosolids signature and an understanding of the geology and hydrology of the site can be used to separate biosolids effects from natural geochemical effects. Elements of particular interest for a biosolids signature include bismuth, copper, silver, mercury, and phosphorus.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081172","usgsCitation":"Crock, J., Smith, D.B., Yager, T.J., Brown, Z.A., and Adams, M.G., 2008, Analytical Results for Municipal Biosolids Samples from a Monitoring Program Near Deer Trail, Colorado (USA), 1999 through 2006 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1172, iv, 67 p., https://doi.org/10.3133/ofr20081172.","productDescription":"iv, 67 p.","onlineOnly":"Y","temporalStart":"1999-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195240,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11385,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1172/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,39.43333333333333 ], [ -104,39.75 ], [ -103.7,39.75 ], [ -103.7,39.43333333333333 ], [ -104,39.43333333333333 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e8f1","contributors":{"authors":[{"text":"Crock, J.G.","contributorId":58236,"corporation":false,"usgs":true,"family":"Crock","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":295756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, D. B. davidsmith@usgs.gov","contributorId":12840,"corporation":false,"usgs":true,"family":"Smith","given":"D.","email":"davidsmith@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":295755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yager, T. J. B.","contributorId":77256,"corporation":false,"usgs":true,"family":"Yager","given":"T.","email":"","middleInitial":"J. B.","affiliations":[],"preferred":false,"id":295757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Z. A.","contributorId":82708,"corporation":false,"usgs":true,"family":"Brown","given":"Z.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":295758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, M. G.","contributorId":84812,"corporation":false,"usgs":true,"family":"Adams","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":295759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":81823,"text":"fs20083033 - 2008 - Watershed influences and in-lake processes - A regional-scale approach to monitoring a water-supply reservoir, Lake Houston near Houston, Texas","interactions":[],"lastModifiedDate":"2022-08-25T19:04:31.491389","indexId":"fs20083033","displayToPublicDate":"2008-06-04T00:00:00","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":"2008-3033","title":"Watershed influences and in-lake processes - A regional-scale approach to monitoring a water-supply reservoir, Lake Houston near Houston, Texas","docAbstract":"

Created in 1954 by an impoundment on the San Jacinto River, Lake Houston currently (2008) supplies about 20 percent of the total source water for the city of Houston. Houston historically has relied on ground water as the major source of supply. As a result of regulations to limit ground-water withdrawals because of associated land subsidence (effective in 2010), the lake will become the primary source of water supply for the city in the future. Since 1983 the U.S. Geological Survey (USGS), in cooperation with the City of Houston, has collected water-quality and lake-level data at Lake Houston, as well as discharge and intermittent water-quality data at its major inflowing tributaries. Previous studies indicate that Lake Houston is shallow, eutrophic, light limited and has a variable hydrologic regime with water residence times ranging from 12 hours to 400 days. Spring Creek, a tributary that drains the western, more urban, part of the Lake Houston watershed, contributes more sediment and nutrients than East Fork San Jacinto River, a tributary that drains the more rural, eastern part of the watershed. This fact sheet explains the importance of monitoring for management of the resource and describes ongoing research in the Lake Houston watershed by the USGS and the City.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083033","collaboration":"Prepared in cooperation with the City of Houston","usgsCitation":"Oden, T., and Graham, J.L., 2008, Watershed influences and in-lake processes - A regional-scale approach to monitoring a water-supply reservoir, Lake Houston near Houston, Texas (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3033, 2 p., https://doi.org/10.3133/fs20083033.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":124334,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3033.jpg"},{"id":11386,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3033/","linkFileType":{"id":5,"text":"html"}},{"id":405617,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83694.htm","linkFileType":{"id":5,"text":"html"}},{"id":327670,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3033/pdf/fs2008-3033.pdf","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","city":"Houston","otherGeospatial":"Lake Houston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.9417,\n 29.9\n ],\n [\n -95,\n 29.9\n ],\n [\n -95,\n 30.7167\n ],\n [\n -95.9417,\n 30.7167\n ],\n [\n -95.9417,\n 29.9\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687cf2","contributors":{"authors":[{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":295760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":82117,"text":"sir20075090 - 2008 - Trends In Nutrient and Sediment Concentrations and Loads In Major River Basins of the South-Central United States, 1993-2004","interactions":[],"lastModifiedDate":"2012-02-02T00:14:25","indexId":"sir20075090","displayToPublicDate":"2008-06-04T00:00:00","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":"2007-5090","title":"Trends In Nutrient and Sediment Concentrations and Loads In Major River Basins of the South-Central United States, 1993-2004","docAbstract":"Nutrient and sediment data collected at 115 sites by Federal and State agencies from 1993 to 2004 were analyzed by the U.S. Geological Survey to determine trends in concentrations and loads for selected rivers and streams that drain into the northwestern Gulf of Mexico from the south-central United States, specifically from the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf Basins. Trends observed in the study area were compared to determine potential regional patterns and to determine cause-effect relations with trends in hydrologic and human-induced factors such as nutrient sources, streamflow, and implementation of best management practices. Secondary objectives included calculation of loads and yields for the study period as a basis for comparing the delivery of nutrients and sediment to the northwestern Gulf of Mexico from the various rivers within the study area. In addition, loads were assessed at seven selected sites for the period 1980-2004 to give hydrologic perspective to trends in loads observed during 1993-2004.\r\n\r\nMost study sites (about 64 percent) either had no trends or decreasing trends in streamflow during the study period. The regional pattern of decreasing trends in streamflow during the study period appeared to correspond to moist conditions at the beginning of the study period and the influence of three drought periods during the study period, of which the most extreme was in 2000. Trend tests were completed for ammonia at 49 sites, for nitrite plus nitrate at 69 sites, and for total nitrogen at 41 sites. For all nitrogen constituents analyzed, no trends were observed at half or more of the sites. No regional trend patterns could be confirmed because there was poor spatial representation of the trend sites. Decreasing trends in flow-adjusted concentrations of ammonia were observed at 25 sites. No increasing trends in concentrations of ammonia were noted at any sites. Flow-adjusted concentrations of nitrite plus nitrate decreased at 7 sites and increased at14 sites. Flow-adjusted concentrations of total nitrogen decreased at 2 sites and increased at 12 sites. Improvements to municipal wastewater treatment facilities contributed to the decline of ammonia concentrations at selected sites. Notable increasing trends in nitrite plus nitrate and total nitrogen at selected study sites were attributed to both point and nonpointsources. Trend patterns in total nitrogen generally followed trend patterns in nitrite plus nitrate, which was understandable given that nitrite plus nitrate loads generally were 70-90 percent of the total nitrogen loads at most sites. Population data were used as a surrogate to understand the relation between changes in point sources and nutrient trends because data from wastewater treatment plants were inconsistent for this study area. Although population increased throughout the study area during the study period, there was no observed relation between increasing trends in nitrogen in study area streams and increasing trends in population. With respect to other nitrogen sources, statistical results did suggest that increasing trends in nitrogen could be related to increasing trends in nitrogen from either commercial fertilizer use and/or land application of manure.\r\n\r\nLoads of ammonia, nitrite plus nitrate, and total nitrogen decreased during the study period, but some trends in nitrogen loads were part of long-term decreases since 1980. For example, ammonia loads were shown to decrease at nearly all sites over the past decade, but at selected sites, these decreasing trends were part of much longer trends since 1980. The Mississippi and Atchafalaya Rivers contributed the highest nitrogen loads to the northwestern Gulf of Mexico as expected; however, nitrogen yields from smaller rivers had similar or higher yields than yields from the Mississippi River.\r\n\r\nTrend tests were completed for orthophosphorus at 34 sites and for total phosphorus at 52 sites. No trends were observed in abo","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075090","usgsCitation":"Rebich, R.A., and Demcheck, D.K., 2008, Trends In Nutrient and Sediment Concentrations and Loads In Major River Basins of the South-Central United States, 1993-2004 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5090, x, 112 p., https://doi.org/10.3133/sir20075090.","productDescription":"x, 112 p.","temporalStart":"1993-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5090.jpg"},{"id":11390,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5090/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db62670b","contributors":{"authors":[{"text":"Rebich, Richard A. 0000-0003-4256-7171 rarebich@usgs.gov","orcid":"https://orcid.org/0000-0003-4256-7171","contributorId":2315,"corporation":false,"usgs":true,"family":"Rebich","given":"Richard","email":"rarebich@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":295775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demcheck, Dennis K. 0000-0003-2981-078X ddemchec@usgs.gov","orcid":"https://orcid.org/0000-0003-2981-078X","contributorId":3273,"corporation":false,"usgs":true,"family":"Demcheck","given":"Dennis","email":"ddemchec@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":295776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211028,"text":"70211028 - 2008 - Use of body mass, footpad length, and wing chord to determine sex in Swainson's Hawks","interactions":[],"lastModifiedDate":"2020-07-10T14:51:39.220169","indexId":"70211028","displayToPublicDate":"2008-06-01T09:49:10","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of body mass, footpad length, and wing chord to determine sex in Swainson's Hawks","docAbstract":"

Many studies of avian ecology require an expedient means to determine sex, and the use of molecular techniques has provided an effective and accurate means to determine sex of raptors in the field (Sarasola and Negro 2004, Donohue and Dufty 2006). Sometimes investigators need to rely on morphometric measurements to determine sex of monochromatic species such as Swainson's Hawks (Buteo swainsoni) because they lack funds or facilities to use molecular techniques or they are analyzing extant data. Discriminant analyses conducted on morphometric measurements have been effective for sexing many raptor species (e.g., Edwards and Kochert 1986, Bavoux et al. 2006, Donohue and Dufty 2006). Sarasola and Negro (2004) recently reported on the effectiveness of seven morphometric measurements as means to identify sex of Swainson's Hawks on the hawk's austral summer areas in Argentina. They proposed a combination of the length of forearm, wing chord, and tail as an effective means to determine sex, with an overall accuracy of 93%. However, Sarasola and Negro (2004) did not assess the effectiveness of using footpad length (sometimes called toe-pad) to classify sex of these hawks. Footpad length and mass were quite effective in sexing Golden Eagles (Aquila chrysaetos), a species with a degree of dimorphism similar to that of Swainson's Hawks (Snyder and Wiley 1976), with an overall accuracy of 98% (Edwards and Kochert 1986). We here report the utility of using footpad length and mass, as well as wing chord length, as a means of sexing Swainson's Hawks on the nesting grounds.

","language":"English","publisher":"BioOne","doi":"10.3356/JRR-07-33.1","usgsCitation":"Kochert, M.N., and McKinley, J.O., 2008, Use of body mass, footpad length, and wing chord to determine sex in Swainson's Hawks: Journal of Raptor Research, v. 42, no. 2, p. 138-141, https://doi.org/10.3356/JRR-07-33.1.","productDescription":"4 p.","startPage":"138","endPage":"141","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":476604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-07-33.1","text":"Publisher Index Page"},{"id":376261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","city":"Boise","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.36306762695312,\n 43.442948806351396\n ],\n [\n -116.026611328125,\n 43.442948806351396\n ],\n [\n -116.026611328125,\n 43.71156424665851\n ],\n [\n -116.36306762695312,\n 43.71156424665851\n ],\n [\n -116.36306762695312,\n 43.442948806351396\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":792481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinley, James O.","contributorId":176823,"corporation":false,"usgs":false,"family":"McKinley","given":"James","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":792482,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179525,"text":"70179525 - 2008 - Spatial elements of mortality risk in old-growth forests","interactions":[],"lastModifiedDate":"2017-01-04T11:36:02","indexId":"70179525","displayToPublicDate":"2008-06-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial elements of mortality risk in old-growth forests","docAbstract":"

For many species of long-lived organisms, such as trees, survival appears to be the most critical vital rate affecting population persistence. However, methods commonly used to quantify tree death, such as relating tree mortality risk solely to diameter growth, almost certainly do not account for important spatial processes. Our goal in this study was to detect and, if present, to quantify the relevance of such processes. For this purpose, we examined purely spatial aspects of mortality for four species, Abies concolor, Abies magnifica, Calocedrus decurrens, and Pinus lambertiana, in an old-growth conifer forest in the Sierra Nevada of California, USA. The analysis was performed using data from nine fully mapped long-term monitoring plots.

In three cases, the results unequivocally supported the inclusion of spatial information in models used to predict mortality. For Abies concolor, our results suggested that growth rate may not always adequately capture increased mortality risk due to competition. We also found evidence of a facilitative effect for this species, with mortality risk decreasing with proximity to conspecific neighbors. For Pinus lambertiana, mortality risk increased with density of conspecific neighbors, in keeping with a mechanism of increased pathogen or insect pressure (i.e., a Janzen-Connell type effect). Finally, we found that models estimating risk of being crushed were strongly improved by the inclusion of a simple index of spatial proximity.

Not only did spatial indices improve models, those improvements were relevant for mortality prediction. For P. lambertiana, spatial factors were important for estimation of mortality risk regardless of growth rate. For A. concolor, although most of the population fell within spatial conditions in which mortality risk was well described by growth, trees that died occurred outside those conditions in a disproportionate fashion. Furthermore, as stands of A. concolor become increasingly dense, such spatial factors are likely to become increasingly important. In general, models that fail to account for spatial pattern are at risk of failure as conditions change.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/07-0524.1","usgsCitation":"Das, A., Battles, J., van Mantgem, P.J., and Stephenson, N.L., 2008, Spatial elements of mortality risk in old-growth forests: Ecology, v. 89, no. 6, p. 1744-1756, https://doi.org/10.1890/07-0524.1.","productDescription":"13 p.","startPage":"1744","endPage":"1756","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586e182fe4b0f5ce109fcb19","contributors":{"authors":[{"text":"Das, Adrian","contributorId":73935,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","affiliations":[],"preferred":false,"id":657566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battles, John","contributorId":21064,"corporation":false,"usgs":true,"family":"Battles","given":"John","email":"","affiliations":[],"preferred":false,"id":657567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657569,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70142180,"text":"70142180 - 2008 - Spawning Cisco investigations in Canada waters of Lake Superior during 2007","interactions":[],"lastModifiedDate":"2017-05-18T12:10:26","indexId":"70142180","displayToPublicDate":"2008-06-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Spawning Cisco investigations in Canada waters of Lake Superior during 2007","docAbstract":"

Cisco Coregonus artedi form pre-spawning aggregations in Lake Superior during November with the bulk of spawning occurring during late November through early December (Dryer and Beil 1964). Eggs are broadcast into open water (Smith 1956) with fertilized eggs settling to the lakebed (Dryer and Beil 1964). Peak hatching occurs the following May (United States Geological Survey – Great Lakes Science Center, GLSC, unpublished data). Interannual variability in year class strength is high, but tends to be synchronous across different regions of Lake Superior (Bronte et al. 2003). November 2005 sampling of Thunder Bay showed 14 year-classes were present with the oldest fish being from the 1984 year-class (Yule et al. 2008). The ciscoes sampled were predominantly from five year classes that hatched during 1988, 1989, 1990, 1998, and 2003. These same strong year-classes were found in the western arm of Lake Superior during November 2006 (GLSC, unpublished data). Growth is rapid in the first few years of life with minimal growth after age-8 (Yule et al. 2008). Ciscoes exceeding 250 mm total length (TL) are typically sexually mature (Yule et al. 2006b, 2008). Thunder Bay ciscoes have high annual survival with rates for females and males averaging 0.80 and 0.75, respectively; females have higher rates of fishing-induced mortality compared to males but lower rates of natural mortality (Yule et al. 2008). Some Lake Superior stocks are currently commercially fished with the bulk of harvest occurring during November when fishers target females for their roe. The bulk of fish are harvested from Thunder Bay using suspended gillnets with mesh sizes ranging from 79-89 mm stretch measure. Ciscoes younger then age-5 make up a very small proportion (<0.1%) of the harvest (Yule, et al. 2008).

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70142180","usgsCitation":"Yule, D.L., Evrard, L.M., Cholwek, G.A., Addison, P.A., and Cullis, K.I., 2008, Spawning Cisco investigations in Canada waters of Lake Superior during 2007, 32 p., https://doi.org/10.3133/70142180.","productDescription":"32 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-006929","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"Canada","otherGeospatial":"Thunder Bay; Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.04006958007812,\n 48.268569112964336\n ],\n [\n -89.04693603515625,\n 48.26034139584532\n ],\n [\n -89.03182983398438,\n 48.25119793455411\n ],\n [\n -88.9013671875,\n 48.26765498757743\n ],\n [\n -88.93844604492188,\n 48.30146673770983\n ],\n [\n -88.93020629882812,\n 48.323386716330916\n ],\n [\n -88.90548706054686,\n 48.356249029540706\n ],\n [\n -88.89724731445311,\n 48.36811076994179\n ],\n [\n -88.87390136718749,\n 48.36811076994179\n ],\n [\n -88.86428833007812,\n 48.36811076994179\n ],\n [\n -88.88076782226562,\n 48.379969748170524\n ],\n [\n -88.8519287109375,\n 48.39729713260604\n ],\n [\n -88.86154174804688,\n 48.40550278187468\n ],\n [\n -88.8299560546875,\n 48.45561965661709\n ],\n [\n -88.83956909179688,\n 48.45835188280866\n ],\n [\n -88.77365112304688,\n 48.52933815687993\n ],\n [\n -88.75717163085936,\n 48.5611586716714\n ],\n [\n -88.76953125,\n 48.574789910928864\n ],\n [\n -88.83544921874999,\n 48.558431982894355\n ],\n [\n -88.8958740234375,\n 48.544796334285266\n ],\n [\n -88.94393920898436,\n 48.521152504948994\n ],\n [\n -89.00985717773438,\n 48.506596968085894\n ],\n [\n -89.08126831054688,\n 48.48475582205773\n ],\n [\n -89.132080078125,\n 48.4829353018258\n ],\n [\n -89.16778564453125,\n 48.463815894066066\n ],\n [\n -89.18563842773436,\n 48.446511173983296\n ],\n [\n -89.22271728515625,\n 48.43011178780492\n ],\n [\n -89.21173095703125,\n 48.372672242291294\n ],\n [\n -89.20486450195312,\n 48.32612605157941\n ],\n [\n -89.20623779296875,\n 48.306947615160176\n ],\n [\n -89.22958374023438,\n 48.302380258156205\n ],\n [\n -89.23782348632812,\n 48.30146673770983\n ],\n [\n -89.23919677734375,\n 48.28227903170258\n ],\n [\n -89.25430297851562,\n 48.263998322520365\n ],\n [\n -89.2694091796875,\n 48.227417282332794\n ],\n [\n -89.176025390625,\n 48.2347355834968\n ],\n [\n -89.15267944335938,\n 48.25942712329832\n ],\n [\n -89.12521362304688,\n 48.265826687750916\n ],\n [\n -89.110107421875,\n 48.26948322200042\n ],\n [\n -89.07577514648438,\n 48.27405352192057\n ],\n [\n -89.04830932617188,\n 48.26765498757743\n ],\n [\n -89.04006958007812,\n 48.268569112964336\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d4e4b0da412f4fb59b","contributors":{"authors":[{"text":"Yule, Daniel L. dyule@usgs.gov","contributorId":139525,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":541689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evrard, Lori M. 0000-0001-8582-5818 levrard@usgs.gov","orcid":"https://orcid.org/0000-0001-8582-5818","contributorId":2720,"corporation":false,"usgs":true,"family":"Evrard","given":"Lori","email":"levrard@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":541691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cholwek, Gary A. gcholwek@usgs.gov","contributorId":2719,"corporation":false,"usgs":true,"family":"Cholwek","given":"Gary","email":"gcholwek@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":541690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Addison, Peter A.","contributorId":105987,"corporation":false,"usgs":true,"family":"Addison","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":583042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cullis, Ken I.","contributorId":150786,"corporation":false,"usgs":false,"family":"Cullis","given":"Ken","email":"","middleInitial":"I.","affiliations":[{"id":13173,"text":"Ontario Ministry of Natural Resources, Upper Great Lakes Management Unit","active":true,"usgs":false}],"preferred":false,"id":583043,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":81326,"text":"ds322 - 2008 - Estuarine River Data for the Ten Thousand Islands Area, Florida, Water Year 2005","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"ds322","displayToPublicDate":"2008-05-30T00:00:00","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":"322","title":"Estuarine River Data for the Ten Thousand Islands Area, Florida, Water Year 2005","docAbstract":"The U.S. Geological Survey collected stream discharge, stage, salinity, and water-temperature data near the mouths of 11 tributaries flowing into the Ten Thousand Islands area of Florida from October 2004 to June 2005. Maximum positive discharge from Barron River and Faka Union River was 6,000 and 3,200 ft3/s, respectively; no other tributary exceeded 2,600 ft3/s. Salinity variation was greatest at Barron River and Faka Union River, ranging from 2 to 37 ppt, and from 3 to 34 ppt, respectively. Salinity maximums were greatest at Wood River and Little Wood River, each exceeding 40 ppt. All data were collected prior to the commencement of the Picayune Strand Restoration Project, which is designed to establish a more natural flow regime to the tributaries of the Ten Thousand Islands area.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds322","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science Initiative;\r\nPrepared in cooperation with the South Florida Water Management District","usgsCitation":"Byrne, M., and Patino, E., 2008, Estuarine River Data for the Ten Thousand Islands Area, Florida, Water Year 2005: U.S. Geological Survey Data Series 322, iv, 10 p., https://doi.org/10.3133/ds322.","productDescription":"iv, 10 p.","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":195585,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11375,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/322/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.83333333333333,25.8 ], [ -81.83333333333333,26.183333333333334 ], [ -81.25,26.183333333333334 ], [ -81.25,25.8 ], [ -81.83333333333333,25.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db6593b9","contributors":{"authors":[{"text":"Byrne, Michael J.","contributorId":8550,"corporation":false,"usgs":true,"family":"Byrne","given":"Michael J.","affiliations":[],"preferred":false,"id":295218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Eduardo 0000-0003-1016-3658 epatino@usgs.gov","orcid":"https://orcid.org/0000-0003-1016-3658","contributorId":1743,"corporation":false,"usgs":true,"family":"Patino","given":"Eduardo","email":"epatino@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":295217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81327,"text":"ds348 - 2008 - Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002","interactions":[],"lastModifiedDate":"2023-12-07T17:34:01.825081","indexId":"ds348","displayToPublicDate":"2008-05-30T00:00:00","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":"348","title":"Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002","docAbstract":"In July of 2002, the U.S. Geological Survey and St. Johns River Water Management District (SJRWMD) conducted geophysical surveys in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, central Florida, as part of the USGS Lakes and Coastal Aquifers (LCA) study. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) files, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report.\r\n\r\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.\r\n\r\nThe USGS Florida Integrated Science Center (FISC) - St. Petersburg assigns a unique identifier to each cruise or field activity. For example, 02LCA02 tells us the data were collected in 2002 for the Lakes and Coastal Aquifers (LCA) study and the data were collected during the second field activity for that study in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.\r\n\r\nThe boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and when discharged emits a short acoustic pulse, or shot, which propagates through the water, sediment column, or rock beneath. The acoustic energy is reflected at density boundaries (such as the seafloor, sediment, or rock layers beneath the seafloor), detected by the receiver, and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2-D) vertical profile of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters. Table 2 lists trackline statistics.\r\n\r\nThe unprocessed seismic data are stored in SEG-Y format (Barry and others, 1975). For a detailed description of the data format, refer to the SEG-Y Format page. See the How To Download SEG-Y Data page for download instructions. The printable profiles provided here are GIF images that were filtered and gained using Seismic Unix software. Refer to the Software page for details about the processing and examples of the processing scripts. The processed SEG-Y data were exported to Chesapeake Technology, Inc. (CTI) SonarWeb software to produce an interactive Web page of the profile, which allows the user to obtain a geographic location and depth from the profile for a curser position. This information is displayed in the status bar of the browser.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds348","usgsCitation":"Harrison, A.S., Dadisman, S.V., Davis, J.B., and Wiese, D.S., 2008, Archive of digital boomer seismic reflection data collected during USGS field activity 02LCA02 in Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan, Central Florida, July 2002: U.S. Geological Survey Data Series 348, HTML Document; CD-ROM, https://doi.org/10.3133/ds348.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2002-07-01","temporalEnd":"2002-07-31","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":11376,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/348/","linkFileType":{"id":5,"text":"html"}},{"id":195738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lakes Ada, Crystal, Jennie, Mary, Rice, and Sylvan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.79041119577676,\n 28.414380994317753\n ],\n [\n -81.79041119577676,\n 27.778433363478257\n ],\n [\n -81.14375039865179,\n 27.778433363478257\n ],\n [\n -81.14375039865179,\n 28.414380994317753\n ],\n [\n -81.79041119577676,\n 28.414380994317753\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679d78","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":295221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":295219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jeffrey B.","contributorId":50168,"corporation":false,"usgs":true,"family":"Davis","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":295222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":81325,"text":"ds345 - 2008 - Environmental and Biological Data of the Nutrient Enrichment Effects on Stream Ecosystems Project of the National Water Quality Assessment Program, 2003-04","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"ds345","displayToPublicDate":"2008-05-30T00:00:00","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":"345","title":"Environmental and Biological Data of the Nutrient Enrichment Effects on Stream Ecosystems Project of the National Water Quality Assessment Program, 2003-04","docAbstract":"In 2000, the U.S. Environmental Protection Agency began the process of developing regional nutrient criteria for streams and rivers. In response to concerns about nutrients by the U.S. Environmental Protection Agency and others, the U.S. Geological Survey National Water Quality Assessment Program began studying the effects of nutrient enrichment on agricultural stream ecosystems to aid in the understanding of how nutrients affect the biota in agricultural streams. Streams within five study areas were sampled either in 2003 or 2004. These five study areas were located within six NAWQA study units: the combined Apalachicola-Chattahoochee-Flint River Basin (ACFB) and Georgia-Florida Coastal Plain Drainages (GAFL), Central Columbia Plateau?Yakima River Basin (CCYK), Central Nebraska Basins (CNBR), Potomac River?Delmarva Peninsula (PODL), and the White-Miami River Basin (WHMI). Data collected included nutrients (nitrogen and phosphorous) and other chemical parameters, biological samples (chlorophyll, algal assemblages, invertebrate assemblages, and some fish assemblages), stream habitat, and riparian and basin information. This report describes and presents the data collected from these study areas.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds345","usgsCitation":"Brightbill, R.A., and Munn, M.D., 2008, Environmental and Biological Data of the Nutrient Enrichment Effects on Stream Ecosystems Project of the National Water Quality Assessment Program, 2003-04: U.S. Geological Survey Data Series 345, Report: vi, 13 p.; Appendixes (ZIP File), https://doi.org/10.3133/ds345.","productDescription":"Report: vi, 13 p.; Appendixes (ZIP File)","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":195627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11374,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/345/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602513","contributors":{"authors":[{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81322,"text":"ofr20081138 - 2008 - Inventory and review of existing PRISM hydrogeologic data for the Islamic Republic of Mauritania, Africa","interactions":[],"lastModifiedDate":"2017-05-23T13:44:57","indexId":"ofr20081138","displayToPublicDate":"2008-05-30T00:00:00","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":"2008-1138","title":"Inventory and review of existing PRISM hydrogeologic data for the Islamic Republic of Mauritania, Africa","docAbstract":"The USGS entered into an agreement with the Mauritania Ministry of Mines and Industry to inventory and review the quality of information collected as part of the Project for Strengthening of the Institutions in the Mining Sector (PRISM). Whereas the PRISM program collected geophysical, geochemical, geological, satellite, and hydrogeologic information, this report focuses on an inventory and review of available hydrogeologic data provided to the USGS in multiple folders, files, and formats. Most of the information pertained to the hydrogeologic setting and the water budget of evaporation, evapotranspiration, and precipitation in the Choum-Zouerate area in northwestern Mauritania, and the country of Mauritania itself. Other information about the quantity and quality of groundwater was found in the relational Access database. In its present form, the limited hydrogeologic information was not amenable to conducting water balance, geostatistical, and localized numerical modeling studies in support of mineral exploration and development. Suggestions are provided to remedy many of the data's shortcomings, such as performing quality assurance on all SIPPE2 data tables and sending questionnaires to appropriate agencies, mining and other companies to populate the database with additional meteorology, hydrology, and groundwater data.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081138","collaboration":"Prepared in cooperation with the World Bank, the Mauritania Ministry of Mines and Industry, and Futures Group","usgsCitation":"Friedel, M.J., 2008, Inventory and review of existing PRISM hydrogeologic data for the Islamic Republic of Mauritania, Africa (Version 1.0): U.S. Geological Survey Open-File Report 2008-1138, vii, 69 p., https://doi.org/10.3133/ofr20081138.","productDescription":"vii, 69 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":341593,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1138/pdf/OF08-1138.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":11371,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1138/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4824e4b07f02db4e2cd0","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295206,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":81328,"text":"ds346 - 2008 - Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996","interactions":[],"lastModifiedDate":"2023-12-07T17:28:25.035558","indexId":"ds346","displayToPublicDate":"2008-05-30T00:00:00","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":"346","title":"Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996","docAbstract":"In August of 1996, the U.S. Geological Survey conducted geophysical surveys of Lakes Mabel and Starr, central Florida, as part of the Central Highlands Lakes project, which is part of a larger USGS Lakes and Coastal Aquifers (LCA) study. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) files, observer's logbook; and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report. For detailed information about the hydrologic setting of Lake Starr and the interpretation of some of these seismic reflection data, see Swancar and others (2000) at http://fl.water.usgs.gov/publications/Abstracts/wri00_4030_swancar.html.\r\n\r\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.\r\n\r\nThe USGS Florida Integrated Science Center (FISC) - St. Petersburg assigns a unique identifier to each cruise or field activity. For example, 96LCA04 tells us the data were collected in 1996 for the Lakes and Coastal Aquifers (LCA) study and the data were collected during the fourth field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.\r\n\r\nThe boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and when discharged emits a short acoustic pulse, or shot, which propagates through the water and sediment column. The acoustic energy is reflected at density boundaries (such as the seafloor or sediment layers beneath the lake bottom), detected by the receiver (a hydrophone streamer), and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2-D) vertical image of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters. Table 2 lists trackline statistics. Scanned images of the handwritten cruise logbook (1,020-KB PDF) is also provided as a PDF file.\r\n\r\nThe unprocessed seismic data are stored in SEG-Y format (Barry and others, 1975). For a detailed description of the data format, refer to the SEG-Y Format page. See the How To Download SEG-Y Data page for download instructions. The printable profiles provided here are GIF images that were filtered and gained using Seismic Unix software. Refer to the Software page for details about the processing and examples of the processing scripts. The processed SEG-Y data were exported to Chesapeake Technology, Inc. (CTI) SonarWeb software to produce an interactive version of the seismic profile that allows the user to obtain a geographic location and depth from the profile for a curser position. This information is displayed in the status bar of the browser.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds346","usgsCitation":"Harrison, A.S., Dadisman, S.V., Swancar, A., Tihansky, A.B., Flocks, J.G., and Wiese, D.S., 2008, Archive of digital boomer seismic reflection data collected during USGS field activity 96LCA04 in Lakes Mabel and Starr, Central Florida, August 1996: U.S. Geological Survey Data Series 346, HTML Document; CD-ROM, https://doi.org/10.3133/ds346.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1996-08-01","temporalEnd":"1996-08-31","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":11377,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/346/","linkFileType":{"id":5,"text":"html"}},{"id":195655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lakes Mabel and Starr","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.59542715701335,\n 27.975348069350403\n ],\n [\n -81.59542715701335,\n 27.95108887051552\n ],\n [\n -81.58101971481496,\n 27.95108887051552\n ],\n [\n -81.58101971481496,\n 27.975348069350403\n ],\n [\n -81.59542715701335,\n 27.975348069350403\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679da8","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":295228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":295225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":295223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tihansky, Ann B. tihansky@usgs.gov","contributorId":2477,"corporation":false,"usgs":true,"family":"Tihansky","given":"Ann","email":"tihansky@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":295227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":81320,"text":"ofr20081136 - 2008 - Hydrogeology of the Islamic Republic of Mauritania","interactions":[],"lastModifiedDate":"2023-07-19T18:51:18.467584","indexId":"ofr20081136","displayToPublicDate":"2008-05-30T00:00:00","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":"2008-1136","title":"Hydrogeology of the Islamic Republic of Mauritania","docAbstract":"Hydrogeologic maps were constructed for the Islamic Republic of Mauritania. The ground-water flow system in the country can best be described as two interconnected regional systems: the porous Continental Terminal coastal system and the interior, fractured sedimentary Taoudeni Basin system. In these systems, ground-water flow occurs in fill deposits and carbonate, clastic, metasedimentary, and metavolcanic rocks. Based on an evaluation of the potentiometric surface, there are three areas of ground-water recharge in the Taoudeni Basin system. One region occurs in the northwest at the edge of the Shield, one occurs to the south overlying the Tillites, and one is centered at the city of Tidjikdja. In contrast to the flow system in the Taoudeni Basin, the potentiometric surfaces reveal two areas of discharge in the Continental Terminal system but no localized recharge areas; the recharge is more likely to be areal. In addition to these recharge and discharge areas, ground water flows across the country's borders. Specifically, ground water from the Atlantic Ocean flows into Mauritania, transporting dissolved sodium from the west as a salt water intrusion, whereas fresh ground water discharges from the east into Mali. To the north, there is a relatively low gradient with inflow of fresh water to Mauritania, whereas ground-water flow discharges to the Senegal River to the south.\r\nA geographical information system (GIS) was used to digitize, manage, store, and analyze geologic data used to develop the hydrogeologic map. The data acquired for map development included existing digital GIS files, published maps, tabulated data in reports and public-access files, and the SIPPE2 Access database. Once in digital formats, regional geologic and hydrologic features were converted to a common coordinate system and combined into one map. The 42 regional geologic map units were then reclassified into 13 hydrogeologic units, each having considerable lateral extent and distinct hydrologic properties. Because the hydrologic properties of these units are also influenced by depth and degree of fracturing, the hydraulic conductivity values of these hydrogeologic units can range over many orders of magnitude.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081136","collaboration":"Prepared in cooperation with the World Bank, the Islamic Republic of Mauritania, and Futures Group","usgsCitation":"Friedel, M.J., and Finn, C.A., 2008, Hydrogeology of the Islamic Republic of Mauritania (Version 1.0): U.S. Geological Survey Open-File Report 2008-1136, vi, 32 p., https://doi.org/10.3133/ofr20081136.","productDescription":"vi, 32 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194447,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11369,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1136/","linkFileType":{"id":5,"text":"html"}}],"country":"Mauritania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -19,14 ], [ -19,28 ], [ -2,28 ], [ -2,14 ], [ -19,14 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeb4b","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":295204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81319,"text":"sir20085070 - 2008 - Modeling Water Temperature in the Yakima River, Washington, from Roza Diversion Dam to Prosser Dam, 2005-06","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20085070","displayToPublicDate":"2008-05-29T00:00:00","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":"2008-5070","title":"Modeling Water Temperature in the Yakima River, Washington, from Roza Diversion Dam to Prosser Dam, 2005-06","docAbstract":"A mechanistic water-temperature model was constructed by the U.S. Geological Survey for use by the Bureau of Reclamation for studying the effect of potential water management decisions on water temperature in the Yakima River between Roza and Prosser, Washington. Flow and water temperature data for model input were obtained from the Bureau of Reclamation Hydromet database and from measurements collected by the U.S. Geological Survey during field trips in autumn 2005. Shading data for the model were collected by the U.S. Geological Survey in autumn 2006. The model was calibrated with data collected from April 1 through October 31, 2005, and tested with data collected from April 1 through October 31, 2006. Sensitivity analysis results showed that for the parameters tested, daily maximum water temperature was most sensitive to changes in air temperature and solar radiation. Root mean squared error for the five sites used for model calibration ranged from 1.3 to 1.9 degrees Celsius (?C) and mean error ranged from ?1.3 to 1.6?C. The root mean squared error for the five sites used for testing simulation ranged from 1.6 to 2.2?C and mean error ranged from 0.1 to 1.3?C.\r\n\r\nThe accuracy of the stream temperatures estimated by the model is limited by four errors (model error, data error, parameter error, and user error).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085070","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Voss, F.D., Curran, C.A., and Mastin, M.C., 2008, Modeling Water Temperature in the Yakima River, Washington, from Roza Diversion Dam to Prosser Dam, 2005-06: U.S. Geological Survey Scientific Investigations Report 2008-5070, vi, 43 p., https://doi.org/10.3133/sir20085070.","productDescription":"vi, 43 p.","additionalOnlineFiles":"Y","temporalStart":"2005-04-01","temporalEnd":"2006-10-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":195159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11367,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5070/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,45.916666666666664 ], [ -121.75,47.75 ], [ -119,47.75 ], [ -119,45.916666666666664 ], [ -121.75,45.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db6999d6","contributors":{"authors":[{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295202,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81316,"text":"ofr20081015 - 2008 - Methods of Data Collection, Sample Processing, and Data Analysis for Edge-of-Field, Streamgaging, Subsurface-Tile, and Meteorological Stations at Discovery Farms and Pioneer Farm in Wisconsin, 2001-7","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"ofr20081015","displayToPublicDate":"2008-05-28T01:00:00","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":"2008-1015","title":"Methods of Data Collection, Sample Processing, and Data Analysis for Edge-of-Field, Streamgaging, Subsurface-Tile, and Meteorological Stations at Discovery Farms and Pioneer Farm in Wisconsin, 2001-7","docAbstract":"The University of Wisconsin (UW)-Madison Discovery Farms (Discovery Farms) and UW-Platteville Pioneer Farm (Pioneer Farm) programs were created in 2000 to help Wisconsin farmers meet environmental and economic challenges. As a partner with each program, and in cooperation with the Wisconsin Department of Natural Resources and the Sand County Foundation, the U.S. Geological Survey (USGS) Wisconsin Water Science Center (WWSC) installed, maintained, and operated equipment to collect water-quantity and water-quality data from 25 edge-offield, 6 streamgaging, and 5 subsurface-tile stations at 7 Discovery Farms and Pioneer Farm. The farms are located in the southern half of Wisconsin and represent a variety of landscape settings and crop- and animal-production enterprises common to Wisconsin agriculture. Meteorological stations were established at most farms to measure precipitation, wind speed and direction, air and soil temperature (in profile), relative humidity, solar radiation, and soil moisture (in profile). Data collection began in September 2001 and is continuing through the present (2008). This report describes methods used by USGS WWSC personnel to collect, process, and analyze water-quantity, water-quality, and meteorological data for edge-of-field, streamgaging, subsurface-tile, and meteorological stations at Discovery Farms and Pioneer Farm from September 2001 through October 2007. Information presented includes equipment used; event-monitoring and samplecollection procedures; station maintenance; sample handling and processing procedures; water-quantity, waterquality, and precipitation data analyses; and procedures for determining estimated constituent concentrations for unsampled runoff events.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081015","collaboration":"Prepared in cooperation with the University of Wisconsin-Madison Discovery Farms program and the University of Wisconsin-Platteville Pioneer Farm program","usgsCitation":"Stuntebeck, T.D., Komiskey, M.J., Owens, D., and Hall, D.W., 2008, Methods of Data Collection, Sample Processing, and Data Analysis for Edge-of-Field, Streamgaging, Subsurface-Tile, and Meteorological Stations at Discovery Farms and Pioneer Farm in Wisconsin, 2001-7 (Revised Dec 2008): U.S. Geological Survey Open-File Report 2008-1015, viii, 52 p., https://doi.org/10.3133/ofr20081015.","productDescription":"viii, 52 p.","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":94361,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/publication/ofr20081015","linkFileType":{"id":1,"text":"pdf"}},{"id":11352,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1015/","linkFileType":{"id":5,"text":"html"}},{"id":194995,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Revised Dec 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62bb36","contributors":{"authors":[{"text":"Stuntebeck, Todd D. 0000-0002-8405-7295 tdstunte@usgs.gov","orcid":"https://orcid.org/0000-0002-8405-7295","contributorId":902,"corporation":false,"usgs":true,"family":"Stuntebeck","given":"Todd","email":"tdstunte@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owens, David W. dwowens@usgs.gov","contributorId":3745,"corporation":false,"usgs":true,"family":"Owens","given":"David W.","email":"dwowens@usgs.gov","affiliations":[{"id":676,"text":"Wisconsin Water Resource Division","active":false,"usgs":true}],"preferred":false,"id":295191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, David W.","contributorId":39362,"corporation":false,"usgs":true,"family":"Hall","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":295192,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":81315,"text":"sir20085008 - 2008 - A comparison of runoff quantity and quality from two small basins undergoing implementation of conventional- and low-impact-development (LID) strategies: Cross Plains, Wisconsin, water years 1999–2005","interactions":[],"lastModifiedDate":"2022-01-26T20:45:31.97544","indexId":"sir20085008","displayToPublicDate":"2008-05-28T00:00:00","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":"2008-5008","title":"A comparison of runoff quantity and quality from two small basins undergoing implementation of conventional- and low-impact-development (LID) strategies: Cross Plains, Wisconsin, water years 1999–2005","docAbstract":"

Environmental managers are often faced with the task of designing strategies to accommodate development while minimizing adverse environmental impacts. Low-impact development (LID) is one such strategy that attempts to mitigate environmental degradation commonly associated with impervious surfaces. The U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources, studied two residential basins in Cross Plains, Wis., during water years 1999–2005. A paired-basin study design was used to compare runoff quantity and quality from the two basins, one of which was developed in a conventional way and the other was developed with LID. The conventional-developed basin (herein called “conventional basin”) consisted of curb and gutter, 40-foot street widths, and a fully connected stormwater-conveyance system. The LID basin consisted of grassed swales, reduced impervious area (32-foot street widths), street inlets draining to grass swales, a detention pond, and an infiltration basin. Data collected in the LID basin represented predevelopment through near-complete build-out conditions.

Smaller, more frequent precipitation events that produced stormwater discharge from the conventional basin were retained in the LID basin. Only six events with precipitation depths less than or equal to 0.4 inch produced measurable discharge from the LID basin. Of these six events, five occurred during winter months when underlying soils are commonly frozen, and one was likely a result of saturated soil from a preceding storm. In the conventional basin, the number of discharge events, using the same threshold of precipitation depth, was 180, with nearly one-half of those resulting from precipitation depths less than 0.2 inch. Precipitation events capable of producing appreciable discharge in the LID basin were typically those of high intensity or precipitation depth or those that occurred after soils were already saturated. Total annual discharge volume measured from the conventional basin ranged from 1.3 to 9.2 times that from the LID basin.

Development of the LID basin did not appreciably alter the hydrologic response to precipitation characterized during predevelopment conditions. Ninety-five percent or more of precipitation in the LID basin was retained during each year of construction from predevelopment through near-complete build-out, surpassing the 90-percent benchmark established for new development by the Wisconsin Department of Natural Resources. The amount of precipitation retained in the conventional basin did not exceed 94 percent and fell below the 90-percent standard 2 of the 6 years monitored.

Much of the runoff in the LID basin was retained by an infiltration basin, the largest control structure used to mitigate storm-runoff quantity and quality. The infiltration basin also was the last best-management practice (BMP) used to treat runoff before it left the LID basin as discharge. From May 25, 2002, to September 30, 2005, only 24 of 155 precipitation events exceeded the retention/ infiltrative capacity of the infiltration basin. The overall reduction in runoff volume from these few events was 51 percent. The effectiveness of the infiltration basin decreased as precipitation intensities exceeded 0.5 inch per hour.

Annual loads were estimated to characterize the overall effectiveness of low-impact design practices for mitigating delivery of total solids, total suspended solids, and total phosphorus. Annual loads of these three constituents were greater in the LID basin than in the conventional basin in 2000 and 2004. Seventy percent or more of all constituent annual loads were associated with two discharge events in 2000, and a single discharge event produced 50 percent or more of constituent annual loads in 2004. Each of these discharge events was associated with considerable precipitation depths and (or) intensities, ranging from 4.89 to 6.21 inches and from 1.13 to 1.2 inches per hour, respectively. These same storms did not contribute as much of the annual load in the conventional basin. With large storms and saturated soils, the ability of low-impact design techniques to reduce runoff, and thus constituent loads, can be greatly diminished.

For both the LID and conventional basins, the temperature of runoff was largely affected by ambient air temperatures. However, the temperature of discharge from the LID basin increased upon runoff cessation. This increase is likely due to solar heating of water that is temporarily stored in the detention pond and infiltration basin.

","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085008","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Selbig, W.R., and Bannerman, R.T., 2008, A comparison of runoff quantity and quality from two small basins undergoing implementation of conventional- and low-impact-development (LID) strategies: Cross Plains, Wisconsin, water years 1999–2005: U.S. Geological Survey Scientific Investigations Report 2008-5008, viii, 57 p., https://doi.org/10.3133/sir20085008.","productDescription":"viii, 57 p.","temporalStart":"1998-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":121145,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5008.jpg"},{"id":11351,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5008/","linkFileType":{"id":5,"text":"html"}},{"id":394914,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83685.htm"}],"country":"United States","state":"Wisconsin","city":"Cross Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.6692,\n 43.0981\n ],\n [\n -89.6528,\n 43.0981\n ],\n [\n -89.6528,\n 43.1125\n ],\n [\n -89.6692,\n 43.1125\n ],\n [\n -89.6692,\n 43.0981\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd494fe4b0b290850ef0af","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81318,"text":"sir20085071 - 2008 - Conceptual Model of Hydrologic and Thermal Conditions of the Eastbank Aquifer System near Rocky Reach Dam, Douglas County, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085071","displayToPublicDate":"2008-05-28T00:00:00","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":"2008-5071","title":"Conceptual Model of Hydrologic and Thermal Conditions of the Eastbank Aquifer System near Rocky Reach Dam, Douglas County, Washington","docAbstract":"The Lower and Combined Aquifers of the Eastbank Aquifer system, located in a river-terrace deposit along the Columbia River near Rocky Reach Dam, Washington, are primarily recharged by the Columbia River and provide water to the Eastbank Hatchery and the regional water system servicing the cities of Wenatchee, East Wenatchee, and parts of unincorporated Chelan and Douglas Counties. In 2006, mean annual pumpage from the aquifers by the hatchery and regional water system was about 43 and 16 cubic feet per second, respectively. Reportedly, temperatures of ground water pumped by the hatchery have been increasing, thereby making water potentially too warm for salmonid fish production. An evaluation of hourly ground-water and river temperatures from January 1991 through August 2007 indicates increasing interannual trends in temperatures in most of the Lower and Combined Aquifers from 1999 through 2006 that correspond to increasing trends in the annual mean and annual maximum river temperatures during the same period of 0.07 and 0.17?C per year, respectively. There were no trends in the annual minimum river temperatures from 1999 through 2006, and there were no trends in the annual minimum, mean, and maximum river temperatures from 1991 through 1998 and from 1991 through 2007. Increases in river temperatures from 1999 through 2006 are within the natural variability of the river temperatures. \r\n\r\nMost of the Lower and Combined Aquifers reached thermal equilibrium?defined by constant time lags between changes in river temperatures and subsequent changes in ground-water temperatures?during 1991?98. The only exceptions are the Combined Aquifer north of the well field of the regional water system, which had not reached thermal equilibrium by 2006, and the Lower Aquifer west of the well fields of the hatchery and the regional water system, which reached thermal equilibrium prior to 1991. Because most of the Lower and Combined Aquifers were in thermal equilibrium from 1999 through 2006 and seasonal pumpage patterns were relatively stable, reported trends of increasing temperatures of water pumped by the hatchery well field are most likely explained by increasing trends in river temperatures. Most of the water pumped by the hatchery well field recharges in an area west to southwest of the well field about 2 months prior to the time it is pumped from the aquifer. The northern extent of the hatchery well field may pump some colder water from a bedrock depression to the north and west of the well field. The conceptual model of hydrologic and thermal conditions is supported by analyses of historical water temperatures, water-level data collected on July 18, 2007, and dissolved-constituent and bacterial concentrations in samples collected on August 20?22, 2007.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085071","collaboration":"Prepared in cooperation with Public Utility District No. 1 of Chelan County","usgsCitation":"van Heeswijk, M., Cox, S.E., Huffman, R.L., and Curran, C.A., 2008, Conceptual Model of Hydrologic and Thermal Conditions of the Eastbank Aquifer System near Rocky Reach Dam, Douglas County, Washington: U.S. Geological Survey Scientific Investigations Report 2008-5071, viii, 67 p., https://doi.org/10.3133/sir20085071.","productDescription":"viii, 67 p.","additionalOnlineFiles":"Y","temporalStart":"1991-01-01","temporalEnd":"2007-08-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125705,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5071.jpg"},{"id":11354,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5071/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.41666666666667,47.333333333333336 ], [ -120.41666666666667,48 ], [ -119.75,48 ], [ -119.75,47.333333333333336 ], [ -120.41666666666667,47.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698453","contributors":{"authors":[{"text":"van Heeswijk, Marijke heeswijk@usgs.gov","contributorId":1537,"corporation":false,"usgs":true,"family":"van Heeswijk","given":"Marijke","email":"heeswijk@usgs.gov","affiliations":[],"preferred":true,"id":295196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Stephen E. 0000-0001-6614-8225 secox@usgs.gov","orcid":"https://orcid.org/0000-0001-6614-8225","contributorId":1642,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen","email":"secox@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":81314,"text":"sir20085040 - 2008 - Elements in Mud and Snow in the Vicinity of the DeLong Mountain Regional Transportation System Road, Red Dog Mine, and Cape Krusenstern National Monument, Alaska, 2005-06","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"sir20085040","displayToPublicDate":"2008-05-24T00:00:00","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":"2008-5040","title":"Elements in Mud and Snow in the Vicinity of the DeLong Mountain Regional Transportation System Road, Red Dog Mine, and Cape Krusenstern National Monument, Alaska, 2005-06","docAbstract":"A small number of mud, road bed soil, and snow samples were collected in 2005 and 2006 to assess metal concentrations and loadings to areas adjacent to the DeLong Mountain Regional Transportation System (DMTS) road in northwest Alaska. The DMTS road is used by large trucks to transport lead and zinc concentrates from Red Dog Mine to the shipping facility at Red Dog Port; it traverses 32 kilometers of land in Cape Krusenstern National Monument (CAKR). Mud collected in the summer of 2005 from wheel-wells of two passenger vehicles used for transport between Red Dog Mine and the port facility were enriched in cadmium, lead, and zinc by factors of about 200 to 800 as compared with mud collected from a vehicle stationed in Kotzebue, Alaska, whereas DMTS road bed soil samples were enriched by factors of 6 to 12. Thus, as of 2005, dispersal of mine ore wastes or concentrates by vehicles appeared to remain a potential source of metals along the DMTS road.\r\n\r\nCompared to snow samples obtained near a gravel road located near Kotzebue, Alaska, metal loadings estimated from individual snow samples collected in CAKR in April 2006 near three creeks, 13 to 50 meters from the road, were greater by factors of 13 to 316 for cadmium, 28 to 589 for lead, and 8 to 195 for zinc. When averaged for all three creek locations, mean loadings of cadmium, lead, and zinc calculated from snow samples collected at a nominal distance of 15 meters to the north of the road were 0.63, 34, and 89 milligrams of metal per square meter, respectively. Variability of particulate and metal loadings between individual samples and the three creek locations probably was affected by localized meteorological conditions and micro-topography on the snow drift and scour patterns, but road orientation on attainable truck speeds also might have been a factor. Results indicated that the ?port effect?, previously attributed to fugitive metal-enriched dusts stemming from concentrate transfer operations at the port facility, was not necessarily an important factor affecting spatial differences of metals deposition in snow along the road in CAKR during winter 2005?06.\r\n\r\nThe average metal content of particulates in 2005?06 snow samples was slightly less than that of snow samples collected by the U.S. Geological Survey in CAKR at three near-road locations in April 2003. Mean metals concentrations in 2006 snow particulates were about three times greater than in the road bed soils that were sampled in 2005; however, the fraction of annual metals loadings occurring in winter as compared to the remainder of the year was not readily determined by these data. Although procedures have been implemented in recent years to reduce the quantities of metal-enriched fugitive dusts, particulates dispersed near the road during the winter of 2005?06 were enriched in metals and these particulates contributed considerable metal loadings to the nearby terrain.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085040","collaboration":"Prepared in cooperation with the National Park Service, Western Arctic National Parklands, Kotzebue, Alaska","usgsCitation":"Brumbaugh, W.J., and May, T.W., 2008, Elements in Mud and Snow in the Vicinity of the DeLong Mountain Regional Transportation System Road, Red Dog Mine, and Cape Krusenstern National Monument, Alaska, 2005-06: U.S. Geological Survey Scientific Investigations Report 2008-5040, vi, 31 p., https://doi.org/10.3133/sir20085040.","productDescription":"vi, 31 p.","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":195170,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11350,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5040/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -164.5,67.41666666666667 ], [ -164.5,68.08333333333333 ], [ -162.75,68.08333333333333 ], [ -162.75,67.41666666666667 ], [ -164.5,67.41666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db606974","contributors":{"authors":[{"text":"Brumbaugh, William J.","contributorId":60734,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":295186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":295185,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81312,"text":"ds335 - 2008 - Ground-water quality data in the Central Sierra study unit, 2006— Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2021-09-09T11:26:24.632886","indexId":"ds335","displayToPublicDate":"2008-05-23T00:00:00","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":"335","title":"Ground-water quality data in the Central Sierra study unit, 2006— Results from the California GAMA Program","docAbstract":"Ground-water quality in the approximately 950 square kilometer (370 square mile) Central Sierra study unit (CENSIE) was investigated in May 2006 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 Ground-Water 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\nThis study was designed to provide a spatially unbiased assessment of the quality of raw ground water used for drinking-water supplies within CENSIE, and to facilitate statistically consistent comparisons of ground-water quality throughout California. Samples were collected from thirty wells in Madera County. Twenty-seven of the wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study area (grid wells), and three were selected to aid in evaluation of specific water-quality issues (understanding wells). \r\n\r\nGround-water samples were analyzed for a large number of synthetic organic constituents (volatile organic compounds [VOCs], gasoline oxygenates and degradates, pesticides and pesticide degradates), constituents of special interest (N-nitrosodimethylamine, perchlorate, and 1,2,3-trichloropropane), 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, nitrogen, and carbon], and dissolved noble gases also were measured to help identify the sources and ages of the sampled ground water. In total, over 250 constituents and water-quality indicators were investigated.\r\n\r\nQuality-control samples (blanks, replicates, and samples for matrix spikes) were collected at approximately one-sixth of the wells, and the results for these samples were used to evaluate the quality of the data for the ground-water samples. Results from field blanks indicated contamination was not a noticeable source of bias in the data for ground-water samples. Differences between replicate samples were within acceptable ranges, indicating acceptably low variability. Matrix spike recoveries were within acceptable ranges for most constituents.\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 water quality. Regulatory thresholds apply to 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. Therefore, any comparisons of the results of this study to drinking-water standards only is for illustrative purposes and is not indicative of compliance or non-compliance to those standards.\r\n\r\nMost constituents that were detected in ground-water samples were found at concentrations below drinking-water standards or thresholds. Six constituents? fluoride, arsenic, molybdenum, uranium, gross-alpha radioactivity, and radon-222?were detected at concentrations higher than thresholds set for health-based regulatory purposes. Three additional constituents?pH, iron and manganese?were detected at concentrations above thresholds set for aesthetic concerns. Volatile organic compounds (VOCs) and pesticides, were detected in less than one-third of the samples and generally at less than one one-hundredth of a health-based threshold.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds335","usgsCitation":"Ferrari, M., Fram, M.S., and Belitz, K., 2008, Ground-water quality data in the Central Sierra study unit, 2006— Results from the California GAMA Program: U.S. Geological Survey Data Series 335, x, 61 p., https://doi.org/10.3133/ds335.","productDescription":"x, 61 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":190758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11348,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/335/","linkFileType":{"id":5,"text":"html"}},{"id":388953,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83679.htm"}],"country":"United States","state":"California","otherGeospatial":"Central Sierra study unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.8981,\n 37.0917\n ],\n [\n -119.4,\n 37.0917\n ],\n [\n -119.4,\n 37.5\n ],\n [\n -119.8981,\n 37.5\n ],\n [\n -119.8981,\n 37.0917\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d580","contributors":{"authors":[{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":295181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":295179,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81311,"text":"sim3019 - 2008 - Land area change in coastal Louisiana: A multidecadal perspective (from 1956 to 2006)","interactions":[],"lastModifiedDate":"2023-04-13T21:37:04.041548","indexId":"sim3019","displayToPublicDate":"2008-05-23T00:00:00","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":"3019","title":"Land area change in coastal Louisiana: A multidecadal perspective (from 1956 to 2006)","docAbstract":"The U.S. Geological Survey (USGS) analyzed changes in the configuration of land and water in coastal Louisiana by using a sequential series of 14 data sets summarizing land and water areas from 1956 to 2006. The purpose of this study is to provide a spatially and temporally consistent source of quantitative information on land area across coastal Louisiana, broken into three physiographic provinces (the term 'coastal Louisiana' is used to present data on the collective area).\r\n\r\nThe land-water data sets used in this study are interpreted through spatial analysis and by linear regression analysis. The spatial depictions of land area change reveal a complex and interwoven mosaic of loss and gain patterns caused by natural and human-induced processes operating at varied temporal and spatial scales, resulting in fluctuating contributions to coastal loss. The linear regression analysis provides a robust estimate of recent change trends by comparing land area over time for all data sets from 1985 to 2004 and from 1985 to 2006 by physiographic province across coastal Louisiana.\r\n\r\nThe 1956 to 2006 map showing multidecadal changes, along with the linear regressions of land area change presented in this study, provide a comprehensive and concise presentation of historical trends and rates of land area change in coastal Louisiana. Taking a broad historical view provides an in-depth understanding of land area changes over time. For example, one observation provided by our historical review is that the majority of the widespread, nontransitory land gains depicted on the map over the past 50 years, with the exception of the progradation of the Atchafafalaya River and Wax Lake deltas, are primarily related to sediment placement and landward migration of barrier islands. Another point revealed by our historical approach is that recent land losses caused by hurricanes sometimes commingled with or exacerbated older losses formed during the 1956 to 1978 period. Furthermore, our analyses also show how the immediate impacts of extreme storms can alter the long-term, time-averaged trends of landscape change, thus limiting the range of projections for the future. For this reason, this study does not include trend projections beyond 2015 because of uncertainties related to recovery from the 2005 hurricane season and the potential for other episodic events that could skew future rates of change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3019","usgsCitation":"Barras, J., Bernier, J., and Morton, R., 2008, Land area change in coastal Louisiana: A multidecadal perspective (from 1956 to 2006) (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3019, Report: iv, 9 p.; 1 Plate: 80.00 x 42.00 inches, https://doi.org/10.3133/sim3019.","productDescription":"Report: iv, 9 p.; 1 Plate: 80.00 x 42.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1956-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":11347,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3019/","linkFileType":{"id":5,"text":"html"}},{"id":365480,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3019/downloads/SIM3019_Pamphlet.pdf"},{"id":110772,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83676.htm","linkFileType":{"id":5,"text":"html"},"description":"83676"},{"id":195040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"250000","country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.34399064181497,\n 29.995429621021884\n ],\n [\n -89.81314388852411,\n 30.571416152674246\n ],\n [\n -90.4765550831388,\n 30.478174177232816\n ],\n [\n -91.2518184571681,\n 30.558805200758414\n ],\n [\n -91.59226370679289,\n 30.08671821560452\n ],\n [\n -92.18280674805897,\n 30.08385103388764\n ],\n [\n -93.18548262159902,\n 30.151780956733617\n ],\n [\n -93.68575265556393,\n 30.064954003792167\n ],\n [\n -93.96882624889315,\n 29.547429022798426\n ],\n [\n -92.51572718726482,\n 29.452104781342243\n ],\n [\n -91.56712725042843,\n 29.359880057419744\n ],\n [\n -90.84696478945125,\n 29.025586997827943\n ],\n [\n -89.92536945227153,\n 28.979921361856285\n ],\n [\n -88.8011241897795,\n 28.824836810823996\n ],\n [\n -89.34399064181497,\n 29.995429621021884\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b10eb","contributors":{"authors":[{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":295176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":295178,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81309,"text":"sim2963 - 2008 - Geologic Map of the San Luis Quadrangle, Costilla County, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"sim2963","displayToPublicDate":"2008-05-23T00:00:00","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":"2963","title":"Geologic Map of the San Luis Quadrangle, Costilla County, Colorado","docAbstract":"The map area includes San Luis and the primarily rural surrounding area. San Luis, the county seat of Costilla County, is the oldest surviving settlement in Colorado (1851). West of the town are San Pedro and San Luis mesas (basalt-covered tablelands), which are horsts with the San Luis fault zone to the east and the southern Sangre de Cristo fault zone to the west. The map also includes the Sanchez graben (part of the larger Culebra graben), a deep structural basin that lies between the San Luis fault zone (on the west) and the central Sangre de Cristo fault zone (on the east). The oldest rocks exposed in the map area are the Pliocene to upper Oligocene basin-fill sediments of the Santa Fe Group, and Pliocene Servilleta Basalt, a regional series of 3.7?4.8 Ma old flood basalts. Landslide deposits and colluvium that rest on sediments of the Santa Fe Group cover the steep margins of the mesas. Rare exposures of the sediment are comprised of siltstones, sandstones, and minor fluvial conglomerates. Most of the low ground surrounding the mesas and in the graben is covered by surficial deposits of Quaternary age. The alluvial deposits are subdivided into three Pleistocene-age units and three Holocene-age units. The oldest Pleistocene gravel (unit Qao) forms extensive coalesced alluvial fan and piedmont surfaces, the largest of which is known as the Costilla Plain. This surface extends west from San Pedro Mesa to the Rio Grande. The primary geologic hazards in the map area are from earthquakes, landslides, and localized flooding. There are three major fault zones in the area (as discussed above), and they all show evidence for late Pleistocene to possible Holocene movement. The landslides may have seismogenic origins; that is, they may be stimulated by strong ground shaking during large earthquakes. Machette and Thompson based this geologic map entirely on new mapping, whereas Drenth supplied geophysical data and interpretations.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sim2963","isbn":"9781411321304","usgsCitation":"Machette, M., Thompson, R.A., and Drenth, B.J., 2008, Geologic Map of the San Luis Quadrangle, Costilla County, Colorado (Version 1.0): U.S. Geological Survey Scientific Investigations Map 2963, Map Sheet: 44 x 29 inches; Downloads Directory, https://doi.org/10.3133/sim2963.","productDescription":"Map Sheet: 44 x 29 inches; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":111117,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83674.htm","linkFileType":{"id":5,"text":"html"}},{"id":195468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11345,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2963/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Polyconic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5,37.1175 ], [ -105.5,37.25 ], [ -105.36749999999999,37.25 ], [ -105.36749999999999,37.1175 ], [ -105.5,37.1175 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf49","contributors":{"authors":[{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":295173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":295171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":295172,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81308,"text":"sir20085074 - 2008 - Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12-16, 2008","interactions":[],"lastModifiedDate":"2018-08-15T16:27:55","indexId":"sir20085074","displayToPublicDate":"2008-05-23T00:00:00","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":"2008-5074","title":"Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12-16, 2008","docAbstract":"

The U.S. Geological Survey (USGS) Seventh Biennial Geographic Information Science (GIS) Workshop (USGS-GIS 2008) on May 12 through 16, 2008, at the Denver Federal Center in Denver, Colorado, is unique in that it brings together GIS professionals from all of the USGS disciplines across all regions, and focuses primarily on the needs and accomplishments of the USGS.

The theme for the 2008 workshop, “GIS for Tomorrow’s Challenges,” provides an opportunity for USGS GIS professionals to demonstrate how they have responded to the challenges set forth in the USGS Science Strategy (http://www.usgs.gov/science_ strategy/). During this workshop, attendees will have an opportunity to present or demonstrate their work; develop their knowledge by attending hands-on workshops and presentations given by professionals from the USGS and other Federal agencies, GIS-related companies, and academia; and to network with other professionals to develop collaborative opportunities.

In addition to participation in numerous workshops and presentations, attendees will have opportunities to listen to top-level managers from the USGS present updates and goals concerning the future of several USGS programs. Monday evening’s Star Guest presentation by Thomas Wagner, NSF Office of Polar Programs, and Paul Morin, Antarctic Geospatial Information Center, entitled “Mapping all that is White: Antarctic Science and Operations Viewed Though Geospatial Data,” will be one of many valuable presentations.

This Proceedings volume will serve as an activity reference for workshop attendees, as well as an archive of technical abstracts presented at the workshop. Author, co-author, and presenter names, affiliations, and contact information are listed with presentation titles with the abstracts. Some hands-on sessions are offered twice; in these instances, abstracts submitted for publication are presented in the proceedings on both days on which they are offered. All acronyms used in these proceedings are explained in the text of each abstract.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085074","usgsCitation":"2008, Proceedings of the U.S. Geological Survey Seventh Biennial Geographic Information Science Workshop, Denver, Colorado, May 12-16, 2008: U.S. Geological Survey Scientific Investigations Report 2008-5074, xii, 66 p., https://doi.org/10.3133/sir20085074.","productDescription":"xii, 66 p.","temporalStart":"2008-05-12","temporalEnd":"2008-05-16","costCenters":[{"id":383,"text":"Mid-Continent Geographic Science Center","active":true,"usgs":true}],"links":[{"id":195215,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":356545,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5074/pdf/SIR2008-5074.pdf","text":"Report","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":11344,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5074/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660410","contributors":{"editors":[{"text":"Helterbrand, Steve whelterbrand@usgs.gov","contributorId":2497,"corporation":false,"usgs":true,"family":"Helterbrand","given":"Steve","email":"whelterbrand@usgs.gov","affiliations":[],"preferred":true,"id":742790,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sieverling, Jennifer B. jbsiever@usgs.gov","contributorId":4806,"corporation":false,"usgs":true,"family":"Sieverling","given":"Jennifer","email":"jbsiever@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":742791,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":81281,"text":"ofr20051082A - 2008 - Ground-water levels in Huron County, Michigan, 2002-03","interactions":[],"lastModifiedDate":"2017-02-06T13:23:44","indexId":"ofr20051082A","displayToPublicDate":"2008-05-18T00:00:00","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":"2005-1082","chapter":"A","title":"Ground-water levels in Huron County, Michigan, 2002-03","docAbstract":"

In 1990, the U.S. Geological Survey (USGS) completed a study of the hydrogeology of Huron County, Michigan (Sweat, 1991). In 1993, Huron County and the USGS entered into a continuing agreement to collect water-level altitudes (hereafter referred to as water levels) at selected wells throughout Huron County. As part of the agreement, USGS has operated four continuous water-level recorders, installed from 1988 to 1991 on wells in Bingham, Fairhaven, Grant, and Lake Townships (fig. 1) and summarized the data collected in an annual or bi-annual report. The agreement was altered in 2003, and beginning January 1, 2004, only the wells in Fairhaven and Lake Townships will have continuous water-level recorders, while the wells in Grant and Bingham Townships will revert to quarterly measurement status. USGS has also provided training for County or Huron Conservation District personnel to measure the water level, on a quarterly basis, in 23 wells. USGS personnel regularly accompany County or Huron Conservation District personnel to provide a quality assurance/quality control check of all measurements being made. Water-level data collected from the 23 quarterly-measured wells is also summarized in the annual or bi-annual report. In 1998, the USGS also completed a temporal and spatial analysis of the monitoring well network in Huron County (Holtschlag and Sweat, 1998).

The altitude of Lake Huron and precipitation are good indicators of general climatic conditions and, therefore, provide an environmental context for groundwater levels in Huron County. Figure 2 shows the mean-monthly water-level altitude of Lake Huron, averaged from measurements made by the U.S. Army Corps of Engineers at sites near Essexville and Harbor Beach, and monthly precipitation measured in Bad Axe (National Oceanic and Atmospheric Administration [NOAA], 2002-04; Danny Costello, NOAA hydrologist, written commun., 2003-04). In March 2003, a new low-water level for the period of this study was measured in Lake Huron (National Oceanic and Atmospheric Administration, 2003; 2004). The net decline in the water level of Lake Huron from January 1, 2002 to December 31, 2003 was about 0.3 ft. Annual precipitation in 2002 was about 0.3 inches above normal, with much of it occurring during summer months. The provisional precipitation total for 2003 is about an inch below normal (NOAA, 2003, 2004; Danny Costello, NOAA hydrologist, written commun., 2003, 2004).

Four wells equipped with continuous-data recorders are completed in the glacial, Saginaw, and Marshall aquifers. Water levels in three of the four wells equipped with continuous-data recorders experienced a net decline over the period from January 2002 to December 2003, while the level in well H9r, completed in the Saginaw aquifer in Fairhaven Township adjacent to Saginaw Bay (Lake Huron), rose about 1.3 ft over the same period. Interestingly, the water level in Saginaw Bay declined about 0.3 ft over the same period. A period-ofrecord maximum depth to water was recorded in September 2003 in well H25Ar, completed in the Marshall aquifer in Lake Township. Hydrographs showing altitude of the water surface are presented for each of four wells equipped with continuous-data recorders.

Twenty three wells were measured on a quarterly basis in 2002-03. These wells are completed in the Saginaw and Marshall aquifers, and Coldwater confining unit. Although each quarterly measurement only provides a “snapshot” water level, the data adequately define the “generalized” water-level trend in the aquifer near the well. The water level in one quarterly-measured well completed in the Saginaw aquifer near Saginaw Bay, had a net rise for the period from January 2002 to December 2003, while levels in the other 22 quarterly-measured wells declined about 0.5 to 2.0 ft during the same period. A period-of-record minimum depth to water (high) was measured in 2002 in two quarterly-measured wells completed in the Saginaw aquifer, although the level in one of those wells had a net decline over the period from January 2002 through December 2003. Conversely, period-of-record maximum depths to water (low) were measured in 2002 in one well completed in the Saginaw aquifer and two wells completed in the Marshall aquifer; and in 2003, in 6 of 16 wells completed in the Marshall aquifer. Near period-ofrecord maximum depths to water were measured in 2003 in two additional wells completed in the Marshall aquifer. No period-of-record minimum or maximum depths to water were measured in 2002-03 in wells completed in the Coldwater confining unit. Hydrographs showing water levels measured in each well are presented for the 23 wells measured on a quarterly basis.

Water-level trends measured in 2002-03 in other wells in Lower Michigan have similarities to those measured in Huron County wells. Several external factors appear to influence water-level trends including proximity to nearby production wells, amount and timing of precipitation events, evapotranspiration and type of prevalent ground cover, proximity of aquifer to the surface, and hydraulic characteristics of overlying geologic materials.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Lansing, MI","doi":"10.3133/ofr20051082A","collaboration":"Prepared in cooperation with the with Huron County, Michigan","usgsCitation":"Weaver, T.L., Blumer, S.P., and Crowley, S.L., 2008, Ground-water levels in Huron County, Michigan, 2002-03: U.S. Geological Survey Open-File Report 2005-1082, iv, 18 p., https://doi.org/10.3133/ofr20051082A.","productDescription":"iv, 18 p.","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":195489,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20051082A.JPG"},{"id":11322,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1082a/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","county":"Huron County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"1259\",\"properties\":{\"name\":\"Huron\",\"state\":\"MI\"},\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-82.9219,44.0668],[-82.9138,44.0639],[-82.9081,44.0628],[-82.8963,44.0584],[-82.8914,44.0537],[-82.8877,44.0522],[-82.8753,44.0464],[-82.8626,44.0452],[-82.8482,44.0402],[-82.8419,44.0405],[-82.8262,44.0359],[-82.8179,44.0353],[-82.8161,44.0347],[-82.8136,44.0324],[-82.8118,44.0314],[-82.8068,44.0295],[-82.7967,44.0274],[-82.7919,44.0231],[-82.7888,44.0212],[-82.7877,44.018],[-82.7824,44.0101],[-82.7805,44.0091],[-82.7735,44.0103],[-82.7678,44.0097],[-82.7659,44.0087],[-82.7622,44.0068],[-82.7543,44.0011],[-82.7483,43.9945],[-82.7408,43.9916],[-82.7384,43.9893],[-82.7314,43.9776],[-82.726,43.9716],[-82.7233,43.9633],[-82.7222,43.9592],[-82.7192,43.9559],[-82.7089,43.9474],[-82.7073,43.9423],[-82.7005,43.9376],[-82.6979,43.9288],[-82.6936,43.926],[-82.6925,43.9218],[-82.6897,43.9154],[-82.6855,43.9112],[-82.686,43.9021],[-82.6843,43.8984],[-82.6755,43.8858],[-82.6659,43.8755],[-82.6561,43.8688],[-82.6549,43.8674],[-82.6546,43.8619],[-82.6482,43.8522],[-82.6458,43.8485],[-82.6453,43.8471],[-82.6453,43.8462],[-82.648,43.844],[-82.6481,43.8431],[-82.6469,43.8417],[-82.6438,43.8393],[-82.6358,43.8345],[-82.6356,43.8277],[-82.6338,43.8258],[-82.6302,43.8102],[-82.6248,43.8046],[-82.6259,43.7973],[-82.6247,43.7959],[-82.6232,43.7886],[-82.6166,43.7824],[-82.6143,43.7774],[-82.6171,43.7733],[-82.6176,43.7533],[-82.6108,43.7385],[-82.6099,43.7225],[-82.6072,43.7138],[-82.6099,43.6998],[-82.6072,43.6906],[-82.6403,43.6893],[-82.7601,43.6854],[-82.8794,43.6815],[-83.0005,43.6788],[-83.1184,43.675],[-83.2357,43.6725],[-83.3536,43.6686],[-83.4664,43.6657],[-83.4668,43.7409],[-83.4624,43.7417],[-83.4543,43.7529],[-83.4509,43.7569],[-83.4438,43.7609],[-83.4428,43.7672],[-83.4341,43.7793],[-83.432,43.7838],[-83.4222,43.7886],[-83.4188,43.7935],[-83.4161,43.798],[-83.4146,43.8039],[-83.41,43.8075],[-83.4118,43.8102],[-83.4117,43.8112],[-83.4104,43.812],[-83.4034,43.8119],[-83.4028,43.8123],[-83.3981,43.8177],[-83.3891,43.8339],[-83.3864,43.837],[-83.3901,43.8403],[-83.3897,43.8485],[-83.3903,43.8498],[-83.3883,43.8516],[-83.3825,43.8542],[-83.3652,43.8561],[-83.3594,43.8587],[-83.3494,43.8685],[-83.3421,43.8765],[-83.3284,43.8848],[-83.3301,43.8881],[-83.3273,43.8944],[-83.3264,43.8989],[-83.3314,43.9027],[-83.3445,43.9062],[-83.3686,43.9086],[-83.3824,43.9112],[-83.3907,43.9091],[-83.4027,43.9112],[-83.4018,43.9166],[-83.3747,43.9137],[-83.3326,43.9177],[-83.314,43.9209],[-83.301,43.9265],[-83.2938,43.9314],[-83.2853,43.9366],[-83.2832,43.9407],[-83.2754,43.9451],[-83.2783,43.9492],[-83.2783,43.9501],[-83.2756,43.9533],[-83.2714,43.9605],[-83.2642,43.979],[-83.2636,43.979],[-83.2443,43.9831],[-83.2366,43.9847],[-83.1939,43.9873],[-83.1793,43.986],[-83.1787,43.986],[-83.1722,43.9886],[-83.1478,43.9925],[-83.1264,44.002],[-83.1211,44.005],[-83.1172,44.0063],[-83.1039,44.006],[-83.0906,44.0052],[-83.0823,44.005],[-83.0709,44.0042],[-83.0671,44.0037],[-83.0554,44.0084],[-83.0548,44.0079],[-83.0427,44.0217],[-83.0418,44.0253],[-83.0396,44.0312],[-83.0341,44.0402],[-83.0307,44.0433],[-83.0305,44.0474],[-83.0299,44.0474],[-83.0159,44.0479],[-83.0101,44.0487],[-82.996,44.0506],[-82.9843,44.0548],[-82.9684,44.0681],[-82.9607,44.0692],[-82.9594,44.0687],[-82.9602,44.066],[-82.9596,44.0656],[-82.9507,44.0639],[-82.9411,44.0664],[-82.9275,44.0706],[-82.9256,44.0706],[-82.9237,44.0701],[-82.9231,44.0682],[-82.9219,44.0668]]],[[[-83.4078,43.8275],[-83.4099,43.8225],[-83.4159,43.8167],[-83.4303,43.8202],[-83.4361,43.8199],[-83.4425,43.8173],[-83.444,43.8119],[-83.4511,43.8102],[-83.4617,43.8132],[-83.4602,43.8187],[-83.4579,43.8282],[-83.4531,43.8349],[-83.4512,43.8367],[-83.4442,43.8361],[-83.4445,43.8306],[-83.4415,43.8255],[-83.4365,43.824],[-83.4388,43.8286],[-83.436,43.8345],[-83.4389,43.84],[-83.4402,43.841],[-83.4444,43.8452],[-83.4449,43.8488],[-83.448,43.8512],[-83.4496,43.8567],[-83.4476,43.8603],[-83.4444,43.8611],[-83.4335,43.8618],[-83.4295,43.8535],[-83.4327,43.8513],[-83.4386,43.8487],[-83.4268,43.8411],[-83.41,43.8344],[-83.4096,43.8302],[-83.4078,43.8275]]],[[[-83.4138,43.8773],[-83.4164,43.8764],[-83.4214,43.8779],[-83.4277,43.8785],[-83.4295,43.8808],[-83.4319,43.8827],[-83.4319,43.8841],[-83.4299,43.8858],[-83.4311,43.8877],[-83.4291,43.8886],[-83.4255,43.8848],[-83.4205,43.8824],[-83.4194,43.8801],[-83.4156,43.8782],[-83.4138,43.8773]]],[[[-83.4892,43.7656],[-83.4911,43.7647],[-83.4924,43.7656],[-83.4942,43.767],[-83.4954,43.768],[-83.496,43.7694],[-83.4959,43.7721],[-83.4913,43.7752],[-83.4895,43.7733],[-83.4883,43.7724],[-83.4871,43.771],[-83.4872,43.7687],[-83.4879,43.7669],[-83.4892,43.7656]]],[[[-83.4212,43.8123],[-83.418,43.8113],[-83.4174,43.8117],[-83.4175,43.8095],[-83.4189,43.8068],[-83.4215,43.805],[-83.4228,43.805],[-83.4246,43.806],[-83.4252,43.8065],[-83.4239,43.8087],[-83.4238,43.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L.","contributorId":24339,"corporation":false,"usgs":true,"family":"Weaver","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":295058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blumer, S. P.","contributorId":23938,"corporation":false,"usgs":true,"family":"Blumer","given":"S.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":295057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crowley, S. L.","contributorId":77614,"corporation":false,"usgs":true,"family":"Crowley","given":"S.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":295059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81280,"text":"sim3021 - 2008 - Sedimentation Survey of Lago La Plata, Puerto Rico, July 2006","interactions":[],"lastModifiedDate":"2023-08-23T21:40:16.608166","indexId":"sim3021","displayToPublicDate":"2008-05-18T00:00:00","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":"3021","displayTitle":"Sedimentation survey of Lago La Plata, Puerto Rico, July 2006","title":"Sedimentation Survey of Lago La Plata, Puerto Rico, July 2006","docAbstract":"Lago La Plata dam is located between the municipalities of Naranjito and Toa Alta in north central Puerto Rico, about 5 kilometers south of the town of Toa Alta and about 5 kilometers north of the town of Naranjito.\r\n\r\nThe reservoir impounds the waters of the Rio de La Plata, the Rio Guadiana, and the Rio Ca?as, and is part of the San Juan Metropolitan Water District, which provides about 35 percent of the total water demand for the area (Soler-Lopez and others, 2000). The reservoir has a drainage area of about 469 square kilometers. The dam was constructed in 1974 and is a concrete gravity structure with a normal pool elevation of 52.00 meters above mean sea level (Puerto Rico Electric Power Authority, 1979).\r\n\r\nDuring October 1998, the U.S. Geological Survey (USGS), Caribbean Water Science Center, in cooperation with the Puerto Rico Aqueduct and Sewer Authority (PRASA) conducted a bathymetric survey of Lago La Plata to assess the impact of Hurricane Georges on the storage capacity of the reservoir. Between July 17 and 20, 2006, the USGS and the PRASA conducted an additional bathymetric survey of Lago La Plata to update the reservoir storage capacity and determine the reservoir sedimentation rate by comparing the 2006 survey data with the 1998 survey data..\r\n\r\nThe purpose of this report is to update the reservoir storage capacity, sedimentation rates, and areas of substantial sediment accumulation since 1998. 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To assist them in developing a better understanding of the factors involved in consumptive use, the U.S. Geological Survey (USGS) has completed an inventory of consumptive-use coefficients for the Great Lakes Basin. This fact sheet highlights findings and data from a comprehensive report resulting from that inventory. \r\n\r\nThis fact sheet includes information on water-use categories used to compile and organize consumptive-use coefficients, summary statistics for consumptive-use coefficients by category, and estimated water withdrawals and consumptive-use amounts for the Great Lakes States for 2000.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083032","usgsCitation":"Shaffer, K., 2008, Consumptive Water Use in the Great Lakes Basin: U.S. Geological Survey Fact Sheet 2008-3032, 6 p., https://doi.org/10.3133/fs20083032.","productDescription":"6 p.","costCenters":[{"id":448,"text":"National Water Availability and Use Program","active":false,"usgs":true}],"links":[{"id":121221,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3032.jpg"},{"id":11318,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3032/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,33 ], [ -100,52 ], [ -65,52 ], [ -65,33 ], [ -100,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697d7b","contributors":{"authors":[{"text":"Shaffer, Kimberly H.","contributorId":98275,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly H.","affiliations":[],"preferred":false,"id":295042,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}