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CBP scientists and managers have worked since 1983 to improve water quality in the bay. In 2010, the U.S. Environmental Protection Agency (USEPA) established a Total Maximum Daily Load (TMDL) for the Chesapeake Bay. The TMDL specifies nutrient and sediment load allocations that need to be achieved in the watershed to improve dissolved oxygen, water-clarity, and chlorophyll conditions in the bay. The USEPA, USGS, and state and local jurisdictions in the watershed operate a CBP nontidal water-quality monitoring network and associated database that are used to update load and trend information to help assess progress toward reducing nutrient and sediment inputs to the bay. Data collected from the CBP nontidal network were used to estimate loads and trends for two time periods: a long-term period (1985-2010) at 31 \"primary\" sites (with storm sampling) and a 10-year period (2001-10) at 33 primary sites and 16 \"secondary\" sites (without storm sampling). In addition, loads at 64 primary sites were estimated for the period 2006 to 2010. Results indicate improving flow-adjusted trends for nitrogen and phosphorus for 1985 to 2010 at most of the sites in the network. For nitrogen, 21 of the 31 sites showed downward (improving) trends, whereas 2 sites showed upward (degrading) trends, and 8 sites showed no trends. The results for phosphorus were similar: 22 sites showed improving trends, 4 sites showed degrading trends, and 5 sites indicated no trends. For sediment, no trend was found at 40 percent of the sites, with 10 sites showing improving trends and 8 sites showing degrading trends. The USGS, working with CBP partners, developed a new water-quality indicator that combines the results of the 10-year trend analysis with results from a greater number of sites (64 primary sites) where loads and yields of total nitrogen and phosphorus and sediment could be calculated. The new indicator shows fewer significant trends for the 10-year time period than for the long-term time period (1985-2010). For 2001-10, total nitrogen trends were downward (improving) at 14 sites and upward (degrading) at 2 sites; no trend was found at 17 sites. For total phosphorus, 12 sites showed improving trends, 4 sites showed degrading trends, and 17 sites showed no trend. For total sediment, most sites (21) did not exhibit a significant trend; 3 sites showed improving trends, and 10 sites showed degrading trends. Few significant trends were seen at the 16 secondary sites: improving trends for total nitrogen at 4 sites, improving trends for total phosphorus at 2 sites, and a degrading trend for sediment at 1 site. Total streamflow to the Chesapeake Bay was 20 percent higher in 2010 than in 2009 and is considered to be within the normal range of flow, whereas annual streamflow at 28 sites was greater in 2010 than in 2009. No trends in daily streamflow were detected at the 31 long-term sites. Combined loads for the farthest downstream nontidal monitoring sites (called \"River Input Monitoring sites\") increased 33 percent for total nitrogen, 120 percent for total phosphorus, and 330 percent for total sediment from 2009 to 2010. The large increase in phosphorus and sediment loads in 2010 was caused in large part by two large storm events that occurred during the spring in the Potomac River Basin. Yields (load per watershed area) of total nitrogen in the Chesapeake Bay watershed decreased from north to south (New York to Virginia). No spatial patterns were discernible for total phosphorus or sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125093","usgsCitation":"Langland, M., Blomquist, J., Moyer, D., and Hyer, K., 2012, Nutrient and suspended-sediment trends, loads, and yields and development of an indicator of streamwater quality at nontidal sites in the Chesapeake Bay watershed, 1985-2010: U.S. Geological Survey Scientific Investigations Report 2012-5093, v, 26 p., https://doi.org/10.3133/sir20125093.","productDescription":"v, 26 p.","onlineOnly":"Y","temporalStart":"1985-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":258030,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5093.png"},{"id":258010,"rank":100,"type":{"id":15,"text":"Index 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,{"id":70038852,"text":"fs20123088 - 2012 - National Enhanced Elevation Assessment at a glance","interactions":[],"lastModifiedDate":"2012-06-28T01:01:38","indexId":"fs20123088","displayToPublicDate":"2012-06-27T00:00:00","publicationYear":"2012","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":"2012-3088","title":"National Enhanced Elevation Assessment at a glance","docAbstract":"Elevation data are essential for hazards mitigation, conservation, infrastructure development, national security, and many other applications. Under the leadership of the U.S. Geological Survey and the member States of the National Digital Elevation Program (NDEP), Federal agencies, State agencies, and others work together to acquire high-quality elevation data for the United States and its territories. New elevation data are acquired using modern technology to replace elevation data that are, on average, more than 30 years old. Through the efforts of the NDEP, a project-by-project data acquisition approach resulted in improved, publicly available data for 28 percent of the conterminous United States and 15 percent of Alaska over the past 15 years. Although the program operates efficiently, the rate of data collection and the typical project specifications are currently insufficient to address the needs of government, the private sector, and other organizations. The National Enhanced Elevation Assessment was conducted to (1) document national-level requirements for improved elevation data, (2) estimate the benefits and costs of meeting those requirements, and (3) evaluate multiple national-level program-implementation scenarios. The assessment was sponsored by the NDEP's member agencies. The study participants came from 34 Federal agencies, agencies from all 50 States, selected local government and Tribal offices, and private and not-for-profit organizations. A total of 602 mission-critical activities were identified that need significantly more accurate data than are currently available. The results of the assessment indicate that a national-level enhanced-elevation-data program has the potential to generate from $1.2 billion to $13 billion in new benefits annually.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123088","usgsCitation":"Snyder, G., 2012, National Enhanced Elevation Assessment at a glance: U.S. Geological Survey Fact Sheet 2012-3088, 2 p., https://doi.org/10.3133/fs20123088.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":258037,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3088.gif"},{"id":258012,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3088/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a61d0e4b0c8380cd71b9c","contributors":{"authors":[{"text":"Snyder, Gregory I. gsnyder@usgs.gov","contributorId":4069,"corporation":false,"usgs":true,"family":"Snyder","given":"Gregory I.","email":"gsnyder@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":465080,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038846,"text":"sir20115114 - 2012 - Nutrient concentrations and loads in the northeastern United States - Status and trends, 1975-2003","interactions":[],"lastModifiedDate":"2017-11-10T18:53:32","indexId":"sir20115114","displayToPublicDate":"2012-06-27T00:00:00","publicationYear":"2012","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":"2011-5114","title":"Nutrient concentrations and loads in the northeastern United States - Status and trends, 1975-2003","docAbstract":"The U.S. Geological Survey (USGS) National Water-Quality Assessment Program (NAWQA) began regional studies in 2003 to synthesize information on nutrient concentrations, trends, stream loads, and sources. In the northeastern United States, a study area that extends from Maine to central Virginia, nutrient data were evaluated for 130 USGS water-quality monitoring stations. Nutrient data were analyzed for trends in flow-adjusted concentrations, modeled instream (non-flow-adjusted) concentrations, and stream loads for 32 stations with 22 to 29 years of water-quality and daily mean streamflow record during 1975-2003 (termed the long-term period), and for 46 stations during 1993-2003 (termed the recent period), by using a coupled statistical model of streamflow and water quality developed by the USGS. Recent trends in flow-adjusted concentrations of one or more nutrients also were analyzed for 90 stations by using Tobit regression. Annual stream nutrient loads were estimated, and annual nutrient yields were calculated, for 47 stations for the long-term and recent periods, and for 37 additional stations that did not have a complete streamflow and water-quality record for 1993-2003. Nutrient yield information was incorporated for 9 drainage basins evaluated in a national NAWQA study, for a total of 93 stations evaluated for nutrient yields. Long-term downward trends in flow-adjusted concentrations of total nitrogen and total phosphorus (18 and 19 of 32 stations, respectively) indicate regional improvements in nutrient-related water-quality conditions. Most of the recent trends detected for total phosphorus were upward (17 of 83 stations), indicating possible reversals to the long-term improvements. Concentrations of nutrients in many streams persist at levels that are likely to affect aquatic habitat adversely and promote freshwater or coastal eutrophication. Recent trends for modeled instream concentrations, and modeled reference concentrations, were evaluated relative to ecoregion-based nutrient criteria proposed by the U.S. Environmental Protection Agency. Instream concentrations of total nitrogen and total phosphorus persist at levels higher than proposed criteria at more than one-third and about one-half, respectively, of the 46 stations analyzed. Long-term trends in nutrient loads were primarily downward, with downward trends in total nitrogen and total phosphorus loads detected at 12 and 17 of 32 stations, respectively. Upward trends were rare, with one upward trend for total nitrogen loads and none for total phosphorus. Trends in loads of nitrite-plus-nitrate nitrogen included 7 upward and 8 downward trends among 32 stations. Downward trends in loads of ammonia nitrogen and total Kjeldahl nitrogen were detected at all six stations evaluated. Long-term downward trends detected in four of the five largest drainage basins evaluated include: total nitrogen loads for the Connecticut, Delaware, and James Rivers; total Kjeldahl nitrogen and ammonia nitrogen loads for the Susquehanna River; ammonia nitrogen and nitrite-plus-nitrate nitrogen loads for the James River; and total phosphorus loads for the Connecticut and Delaware Rivers. No trends in load were detected for the Potomac River. Nutrient yields were evaluated relative to the extent of land development in 93 drainage basins. The undeveloped land-use category included forested drainage basins with undeveloped land ranging from 75 to 100 percent of basin area. Median total nitrogen yields for the 27 undeveloped drainage basins evaluated, including 9 basins evaluated in a national NAWQA study, ranged from 290 to 4,800 pounds per square mile per year (lb/mi<sup>2</sup>/yr). Total nitrogen yields even in the most pristine drainage basins may be elevated relative to natural conditions, because of high rates of atmospheric deposition of nitrogen in parts of the northeastern United States. Median total phosphorus yields ranged from 12 to 330 lb/mi<sup>2</sup>/yr for the 26 undeveloped basins evaluated. The undeveloped category includes some large drainage basins with point-source discharges and small percentages of developed land; in these basins, streamflow from undeveloped headwater areas dilutes streamflow in more urbanized reaches, and dampens but does not eliminate the point-source \"signal\" of higher nutrient loads. Median total nitrogen yields generally do not exceed 1,700 lb/mi<sup>2</sup>/yr, and median total phosphorus yields generally do not exceed 100 lb/mi<sup>2</sup>/yr, in the drainage basins that are least affected by human land-use and waste-disposal practices. Agricultural and urban land use has increased nutrient yields substantially relative to undeveloped drainage basins. Median total nitrogen yields for 24 agricultural basins ranged from 1,700 to 26,000 lb/mi<sup>2</sup>/yr, and median total phosphorus yields ranged from 94 to 1,000 lb/mi<sup>2</sup>/yr. The maximum estimated total nitrogen and total phosphorus yields, 32,000 and 16,000 lb/mi<sup>2</sup>/yr, respectively, for all stations in the region were in small (less than 50 square miles (mi<sup>2</sup>)) agricultural drainage basins. Median total nitrogen yields ranged from 1,400 to 17,000 lb/mi<sup>2</sup>/yr in 26 urbanized drainage basins, and median total phosphorus yields ranged from 43 to 1,900 lb/mi<sup>2</sup>/yr. Urbanized drainage basins with the highest nutrient yields are generally small (less than 300 mi2) and are drained by streams that receive major point-source discharges. Instream nutrient loads were evaluated relative to loads from point-source discharges in four drainage basins: the Quinebaug River Basin in Connecticut, Massachusetts, and Rhode Island; the Raritan River Basin in New Jersey; the Patuxent River Basin in Maryland; and the James River Basin in Virginia. Long-term downward trends in nutrient loads, coupled with similar trends in flow-adjusted nutrient concentrations, indicate long-term reductions in the delivery of most nutrients to these streams. However, the absence of recent downward trends in load for most nutrients, coupled with instream concentrations that exceed proposed nutrient criteria in several of these waste-receiving streams, indicates that challenges remain in reducing delivery of nutrients to streams from point sources. During dry years, the total nutrient load from point sources in some of the drainage basins approached or equaled the nutrient load transported by the stream.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115114","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Trench, E.C., Moore, R.B., Ahearn, E.A., Mullaney, J.R., Hickman, R.E., and Schwarz, G., 2012, Nutrient concentrations and loads in the northeastern United States - Status and trends, 1975-2003: U.S. Geological Survey Scientific Investigations Report 2011-5114, xi, 134 p.; Tables: pgs. 135-148; Appendices: pgs. 149-169; Excel Tables 1-10; Excel Tables 11-27; Appendix index page with contents and file downloads, https://doi.org/10.3133/sir20115114.","productDescription":"xi, 134 p.; Tables: pgs. 135-148; Appendices: pgs. 149-169; Excel Tables 1-10; Excel Tables 11-27; Appendix index page with contents and file downloads","temporalStart":"1975-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":258027,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5114.jpg"},{"id":258009,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5114/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"1990 Albers Equal-Area Projection","datum":"North American Datum of 1983","country":"United States","state":"Connecticut;Delaware;Maine;Maryl;Massachusetts;New Hampshire;New Jersey;New York;Pennsylvania;Rhode Island;Vermont;Virginia;Washington D.C.;West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,36 ], [ -82,48 ], [ -66,48 ], [ -66,36 ], [ -82,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a697be4b0c8380cd73d48","contributors":{"authors":[{"text":"Trench, Elaine C. Todd etrench@usgs.gov","contributorId":4557,"corporation":false,"usgs":true,"family":"Trench","given":"Elaine","email":"etrench@usgs.gov","middleInitial":"C. Todd","affiliations":[],"preferred":true,"id":465075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Richard B. rmoore@usgs.gov","contributorId":1464,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hickman, R. Edward 0000-0001-5160-3723 whickman@usgs.gov","orcid":"https://orcid.org/0000-0001-5160-3723","contributorId":3153,"corporation":false,"usgs":true,"family":"Hickman","given":"R.","email":"whickman@usgs.gov","middleInitial":"Edward","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":465070,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038476,"text":"70038476 - 2012 - The new IASPEI standards for determining magnitudes from digital data and their relation to classical magnitudes","interactions":[],"lastModifiedDate":"2014-04-24T14:55:19","indexId":"70038476","displayToPublicDate":"2012-06-26T16:47:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The new IASPEI standards for determining magnitudes from digital data and their relation to classical magnitudes","docAbstract":"<p>Why there is a need for measurement standards of magnitudes:</p>\n<br/>\n<p>In October 2005, the Commission on Seismic Observation and Interpretation of the\nInternational Association of Seismology and Physics of the Earth´s Interior (IASPEI) adopted\nthe summary recommendations made by the IASPEI Working Group on Magnitudes on new\nmeasurement standards for widely used local, regional and teleseismic magnitude scales\n(IASPEI, 2005). These recommendations have recently been refined and detailed (IASPEI,\n2013) and a final scientific report, to be published in a reputable international journal, is\ncurrently under preparation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New Manual of Seismological Observatory Practice 2 (NMSOP-2)","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","doi":"10.2312/GFZ.NMSOP-2_IS_3.3","usgsCitation":"Bormann, P., and Dewey, J.W., 2012, The new IASPEI standards for determining magnitudes from digital data and their relation to classical magnitudes, chap. <i>of</i> New Manual of Seismological Observatory Practice 2 (NMSOP-2), p. 1-44, https://doi.org/10.2312/GFZ.NMSOP-2_IS_3.3.","productDescription":"44 p.","startPage":"1","endPage":"44","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257916,"rank":200,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2312/GFZ.NMSOP-2_IS_3.3","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bae12e4b08c986b323eee","contributors":{"editors":[{"text":"Bormann, Peter","contributorId":52079,"corporation":false,"usgs":true,"family":"Bormann","given":"Peter","email":"","affiliations":[],"preferred":false,"id":508960,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bormann, Peter","contributorId":52079,"corporation":false,"usgs":true,"family":"Bormann","given":"Peter","email":"","affiliations":[],"preferred":false,"id":464330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":464329,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168411,"text":"70168411 - 2012 - Brook trout movement in response to temperature, flow, and thermal refugia within a complex Appalachian riverscape","interactions":[],"lastModifiedDate":"2016-02-15T14:24:52","indexId":"70168411","displayToPublicDate":"2012-06-26T15:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Brook trout movement in response to temperature, flow, and thermal refugia within a complex Appalachian riverscape","docAbstract":"<p>We quantified movements of brook trout <i>Salvelinus fontinalis</i> and brown trout <i>Salmo trutta</i> in a complex riverscape characterized by a large, open-canopy main stem and a small, closed-canopy tributary in eastern West Virginia, USA. Our objectives were to quantify the overall rate of trout movement and relate movement behaviors to variation in streamflow, water temperature, and access to coldwater refugia. The study area experienced extremely high seasonal, yearly, and among-stream variability in water temperature and flow. The relative mobility of brook trout within the upper Shavers Fork watershed varied significantly depending on whether individuals resided within the larger main stem or the smaller tributary. The movement rate of trout inhabiting the main stem during summer months (50 m/d) was an order of magnitude higher than that of tributary fish (2 m/d). Movement rates of main-stem-resident brook trout during summer were correlated with the maximum water temperature experienced by the fish and with the fish's initial distance from a known coldwater source. For main-stem trout, use of microhabitats closer to cover was higher during extremely warm periods than during cooler periods; use of microhabitats closer to cover during warm periods was also greater for main-stem trout than for tributary inhabitants. Main-stem-resident trout were never observed in water exceeding 19.5&deg;C. Our study provides some of the first data on brook trout movements in a large Appalachian river system and underscores the importance of managing trout fisheries in a riverscape context. Brook trout conservation in this region will depend on restoration and protection of coldwater refugia in larger river main stems as well as removal of barriers to trout movement near tributary and main-stem confluences.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2012.681102","usgsCitation":"Petty, J.T., Hansbarger, J.L., Huntsman, B.M., and Mazik, P.M., 2012, Brook trout movement in response to temperature, flow, and thermal refugia within a complex Appalachian riverscape: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1060-1073, https://doi.org/10.1080/00028487.2012.681102.","productDescription":"14 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Todd","contributorId":166749,"corporation":false,"usgs":false,"family":"Petty","given":"J.","email":"","middleInitial":"Todd","affiliations":[{"id":24497,"text":"West Virginia University, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":619979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansbarger, Jeff L.","contributorId":166750,"corporation":false,"usgs":false,"family":"Hansbarger","given":"Jeff","email":"","middleInitial":"L.","affiliations":[{"id":24498,"text":"West Virginia Division of Natural Resources, Point Pleasant, WV","active":true,"usgs":false}],"preferred":false,"id":619980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntsman, Brock M. 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":166748,"corporation":false,"usgs":false,"family":"Huntsman","given":"Brock","email":"","middleInitial":"M.","affiliations":[{"id":24497,"text":"West Virginia University, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":619978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038836,"text":"tm8C2 - 2012 - Design and maintenance of a network for collecting high-resolution suspended-sediment data at remote locations on rivers, with examples from the Colorado River","interactions":[],"lastModifiedDate":"2018-03-21T15:46:20","indexId":"tm8C2","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"8-C2","title":"Design and maintenance of a network for collecting high-resolution suspended-sediment data at remote locations on rivers, with examples from the Colorado River","docAbstract":"Management of sand and finer sediment in fluvial settings has become increasingly important for reasons ranging from endangered-species habitat to transport of sediment-associated contaminants. In all rivers, some fraction of the suspended load is transported as washload, and some as suspended bed material. Typically, the washload is composed of silt-and-clay-size sediment, and the suspended bed material is composed of sand-size sediment. In most rivers, as a result of changes in the upstream supply of silt and clay, large, systematic changes in the concentration of the washload occur over time, independent of changes in water discharge. Recent work has shown that large, systematic, discharge-independent changes in the concentration of the suspended bed material are also present in many rivers. In bedrock canyon rivers, such as the Colorado River in Grand Canyon National Park, changes in the upstream tributary supply of sand may cause large changes in the grain-size distribution of the bed sand, resulting in changes in both the concentration and grain-size distribution of the sand in suspension. Large discharge-independent changes in suspended-sand concentration coupled to discharge-independent changes in the grain-size distribution of the suspended sand are not unique to bedrock canyon rivers, but also occur in large alluvial rivers, such as the Mississippi River. These systematic changes in either suspended-silt-and-clay concentration or suspended-sand concentration may not be detectable by using conventional equal-discharge- or equal-width-increment measurements, which may be too infrequently collected relative to the time scale over which these changes in the sediment load are occurring. Furthermore, because large discharge-independent changes in both suspended-silt-and-clay and suspended-sand concentration are possible in many rivers, methods using water discharge as a proxy for suspended-sediment concentration (such as sediment rating curves) may not produce sufficiently accurate estimates of sediment loads. Finally, conventional suspended-sediment measurements are both labor and cost intensive and may not be possible at the resolution required to resolve discharge-independent changes in suspended-sediment concentration, especially in more remote locations. For these reasons, the U.S. Geological Survey has pursued the use of surrogate technologies (such as acoustic and laser diffraction) for providing higher-resolution measurements of suspended-sediment concentration and grain size than are possible by using conventional suspended-sediment measurements alone. These factors prompted the U.S. Geological Survey's Grand Canyon Monitoring and Research Center to design and construct a network to automatically measure suspended-sediment transport at 15-minute intervals by using acoustic and laser-diffraction surrogate technologies at remote locations along the Colorado River within Marble and Grand Canyons in Grand Canyon National Park. Because of the remoteness of the Colorado River in this reach, this network also included the design of a broadband satellite-telemetry system to communicate with the instruments deployed at each station in this network. Although the sediment-transport monitoring network described in this report was developed for the Colorado River in Grand Canyon National Park, the design of this network can easily be adapted for use on other rivers, no matter how remote.  In the Colorado River case-study example described in this report, suspended-sediment concentration and grain size are measured at five remote stations. At each of these stations, surrogate measurements of suspended-sediment concentration and grain size are made at 15-minute intervals using an array of different single-frequency acoustic-Doppler side-looking profilers. Laser-diffraction instruments are also used at two of these stations to measure both suspended-sediment concentrations and grain-size distributions. Cross-section calibrations of these instruments have been constructed and verified by using either equal-discharge-increment (EDI) or equal-width-increment (EWI) measurements of the velocity-weighted suspended-sediment concentration and grain-size distribution. The suspended-silt-and-clay concentration parts of these calibration relations have also included information from EDI- or EWI-calibrated samples collected by automatic pump samplers. Three of the monitoring stations are equipped with two-way satellite broadband telemetry systems that operate once a day to remotely monitor and program the instruments and download data. Data from these stations are typically downloaded twice per month; data from stations without satellite-telemetry systems are downloaded during site visits, which occur every 2 months or semiannually, depending on the remoteness of the site. Upon downloading and processing, suspended-silt-and-clay concentration, suspended-sand concentration, and suspended-sand median grain size are posted on the World Wide Web. Satellite telemetry in combination with the high-resolution sediment surrogate measurements can generate near-real-time suspended-sediment-concentration and grain-size data (limited only by the time required to download the instruments and process the data). The approach for measuring suspended-sediment concentration and grain size using this monitoring network is more practical, and can be done at a much lower cost and with higher temporal resolution, than any other method.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 2 of Section C, Instruments for Measurement of Suspended Sediment, Book 8, Instrumentation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm8C2","usgsCitation":"Griffiths, R.E., Topping, D.J., Andrews, T., Bennett, G., Sabol, T., and Melis, T., 2012, Design and maintenance of a network for collecting high-resolution suspended-sediment data at remote locations on rivers, with examples from the Colorado River: U.S. Geological Survey Techniques and Methods 8-C2, v, 26 p.; Appendices: pgs. 27-44; 3 Figures; Figure 2-1: 11 inches x 17 inches, Figure 2-2: 11 inches x 17 inches, Figure 3-1: 11 inches x 17 inches, https://doi.org/10.3133/tm8C2.","productDescription":"v, 26 p.; Appendices: pgs. 27-44; 3 Figures; Figure 2-1: 11 inches x 17 inches, Figure 2-2: 11 inches x 17 inches, Figure 3-1: 11 inches x 17 inches","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":257900,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_8_C2.gif"},{"id":257893,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm8c2/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona;Nevada;Utah","otherGeospatial":"Colorado River;Grand Canyon National Park;Marble Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35 ], [ -114.5,37.5 ], [ -111,37.5 ], [ -111,35 ], [ -114.5,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ff37e4b0c8380cd4f09a","contributors":{"authors":[{"text":"Griffiths, Ronald E.","contributorId":76426,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":465056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":465054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Timothy tandrews@usgs.gov","contributorId":4420,"corporation":false,"usgs":true,"family":"Andrews","given":"Timothy","email":"tandrews@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":465053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Glenn E. gbennett@usgs.gov","contributorId":4153,"corporation":false,"usgs":true,"family":"Bennett","given":"Glenn E.","email":"gbennett@usgs.gov","affiliations":[],"preferred":true,"id":465052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sabol, Thomas A.","contributorId":67186,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas A.","affiliations":[],"preferred":false,"id":465055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":465051,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038839,"text":"fs20123078 - 2012 - Preserving science for the ages--USGS data rescue","interactions":[],"lastModifiedDate":"2012-06-27T01:01:43","indexId":"fs20123078","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2012","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":"2012-3078","title":"Preserving science for the ages--USGS data rescue","docAbstract":"The U.S. Geological Survey (USGS) is a steward for over 130 years of rich, diverse natural science and information resources. We document one-of-a-kind observations of natural phenomena and cultural impacts on our changing world. In order for society to deal with national and global trends, the USGS must enable access and use of legacy, inaccessible information by including these data in our digital archives and databases. The USGS has conducted scientific assessments on the quality and quantity of the Nation's water resources, provided access to geospatial and natural resource data, and conducted multi-purpose natural science studies. All of these have generated records that need to be accessible and integrated in order to be examined for new information and interpretations that were never intended by the original collector. The Federal Records Act of 1950 mandates that the USGS preserve Federal records containing evidence of the agency's organization, functions, policies, decisions, procedures, and essential transactions. At the USGS, the goal of Open Government is to improve and increase access to scientific information. Therefore, it is incumbent upon the USGS to preserve, make available, and provide accountability for the data that it creates from our scientific projects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123078","usgsCitation":"Wippich, C., 2012, Preserving science for the ages--USGS data rescue: U.S. Geological Survey Fact Sheet 2012-3078, 4 p., https://doi.org/10.3133/fs20123078.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":103,"text":"Administration and Enterprise Information","active":false,"usgs":true}],"links":[{"id":257921,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3078.gif"},{"id":257905,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3078/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8b54e4b0c8380cd7e202","contributors":{"authors":[{"text":"Wippich, Carol","contributorId":26922,"corporation":false,"usgs":true,"family":"Wippich","given":"Carol","email":"","affiliations":[],"preferred":false,"id":465063,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038835,"text":"ofr20121026 - 2012 - Hydrologic and landscape database for the Cache and White River National Wildlife Refuges and contributing watersheds in Arkansas, Missouri, and Oklahoma","interactions":[],"lastModifiedDate":"2012-06-27T01:01:43","indexId":"ofr20121026","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2012","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":"2012-1026","title":"Hydrologic and landscape database for the Cache and White River National Wildlife Refuges and contributing watersheds in Arkansas, Missouri, and Oklahoma","docAbstract":"A hydrologic and landscape database was developed by the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, for the Cache River and White River National Wildlife Refuges and their contributing watersheds in Arkansas, Missouri, and Oklahoma. The database is composed of a set of ASCII files, Microsoft Access&reg; files, Microsoft Excel&reg; files, an Environmental Systems Research Institute (ESRI) ArcGIS&reg; geodatabase, ESRI ArcGRID&reg; raster datasets, and an ESRI ArcReader&reg; published map. The database was developed as an assessment and evaluation tool to use in examining refuge-specific hydrologic patterns and trends as related to water availability for refuge ecosystems, habitats, and target species; and includes hydrologic time-series data, statistics, and hydroecological metrics that can be used to assess refuge hydrologic conditions and the availability of aquatic and riparian habitat. Landscape data that describe the refuge physiographic setting and the locations of hydrologic-data collection stations are also included in the database. Categories of landscape data include land cover, soil hydrologic characteristics, physiographic features, geographic and hydrographic boundaries, hydrographic features, regional runoff estimates, and gaging-station locations. The database geographic extent covers three hydrologic subregions&mdash;the Lower Mississippi&ndash;St Francis (0802), the Upper White (1101), and the Lower Arkansas (1111)&mdash;within which human activities, climatic variation, and hydrologic processes can potentially affect the hydrologic regime of the refuges and adjacent areas. Database construction has been automated to facilitate periodic updates with new data. The database report (1) serves as a user guide for the database, (2) describes the data-collection, data-reduction, and data-analysis methods used to construct the database, (3) provides a statistical and graphical description of the database, and (4) provides detailed information on the development of analytical techniques designed to assess water availability for ecological needs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121026","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Buell, G.R., Wehmeyer, L.L., and Calhoun, D.L., 2012, Hydrologic and landscape database for the Cache and White River National Wildlife Refuges and contributing watersheds in Arkansas, Missouri, and Oklahoma: U.S. Geological Survey Open-File Report 2012-1026, viii, 27 p.; Tables 2-13: pgs. 29-73; Appendices: pgs. 75-79, https://doi.org/10.3133/ofr20121026.","productDescription":"viii, 27 p.; Tables 2-13: pgs. 29-73; Appendices: pgs. 75-79","startPage":"i","endPage":"79","numberOfPages":"87","additionalOnlineFiles":"Y","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":257926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1026.jpg"},{"id":257906,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1026/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas;Missouri;Oklahoma","otherGeospatial":"Cace River National Wildlife Refuge;White River National Wildlife Refuge","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3554e4b0c8380cd5fe1d","contributors":{"authors":[{"text":"Buell, Gary R. grbuell@usgs.gov","contributorId":3107,"corporation":false,"usgs":true,"family":"Buell","given":"Gary","email":"grbuell@usgs.gov","middleInitial":"R.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038842,"text":"sir20125043 - 2012 - Assessment of total nitrogen and total phosphorus in selected surface water of the National Park Service Northern Colorado Plateau Network, Colorado, Utah, and Wyoming, from 1972 through 2007","interactions":[],"lastModifiedDate":"2012-06-27T01:01:43","indexId":"sir20125043","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2012","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":"2012-5043","title":"Assessment of total nitrogen and total phosphorus in selected surface water of the National Park Service Northern Colorado Plateau Network, Colorado, Utah, and Wyoming, from 1972 through 2007","docAbstract":"Nutrients are a nationally recognized concern for water quality of streams, rivers, groundwater, and water bodies. Nutrient impairment is documented by the U.S. Environmental Protection Agency as a primary cause of degradation in lakes and reservoirs, and nutrients are related to organic enrichment and oxygen depletion, which is an important cause of degradation in streams. Recently (2011), an effort to develop State-based numeric nutrient criteria has resulted in renewed emphasis on nutrients in surface water throughout the Nation. In response to this renewed emphasis and to investigate nutrient water quality for Northern Colorado Plateau Network streams, the U.S. Geological Survey, in cooperation with the National Park Service, assessed total nitrogen and total phosphorus concentration data for 93 sites in or near 14 National Park units for the time period 1972 through 2007.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125043","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Brown, J., and Thoma, D.P., 2012, Assessment of total nitrogen and total phosphorus in selected surface water of the National Park Service Northern Colorado Plateau Network, Colorado, Utah, and Wyoming, from 1972 through 2007: U.S. Geological Survey Scientific Investigations Report 2012-5043, x, 112 p., https://doi.org/10.3133/sir20125043.","productDescription":"x, 112 p.","onlineOnly":"Y","temporalStart":"1972-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":257952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5043.gif"},{"id":257940,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5043/","linkFileType":{"id":5,"text":"html"}}],"scale":"200000","country":"United States","state":"Arizona;Colorado;Idaho;New Mexico;Utah;Wyoming","otherGeospatial":"Northern Colorado Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,36 ], [ -114,42.25 ], [ -106.5,42.25 ], [ -106.5,36 ], [ -114,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee6be4b0c8380cd49d4a","contributors":{"authors":[{"text":"Brown, Juliane B.","contributorId":74040,"corporation":false,"usgs":true,"family":"Brown","given":"Juliane B.","affiliations":[],"preferred":false,"id":465068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoma, David P.","contributorId":45975,"corporation":false,"usgs":true,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465067,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004058,"text":"70004058 - 2012 - Rotenone persistence model for montane streams","interactions":[],"lastModifiedDate":"2012-06-26T01:01:35","indexId":"70004058","displayToPublicDate":"2012-06-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Rotenone persistence model for montane streams","docAbstract":"The efficient and effective use of rotenone is hindered by its unknown persistence in streams. Environmental conditions degrade rotenone, but current label instructions suggest fortifying the chemical along a stream based on linear distance or travel time rather than environmental conditions. Our objective was to develop models that use measurements of environmental conditions to predict rotenone persistence in streams. Detailed measurements of ultraviolet radiation, water temperature, dissolved oxygen, total dissolved solids (TDS), conductivity, pH, oxidation&ndash;reduction potential (ORP), substrate composition, amount of organic matter, channel slope, and travel time were made along stream segments located between rotenone treatment stations and cages containing bioassay fish in six streams. The amount of fine organic matter, biofilm, sand, gravel, cobble, rubble, small boulders, slope, pH, TDS, ORP, light reaching the stream, energy dissipated, discharge, and cumulative travel time were each significantly correlated with fish death. By using logistic regression, measurements of environmental conditions were paired with the responses of bioassay fish to develop a model that predicted the persistence of rotenone toxicity in streams. This model was validated with data from two additional stream treatment reaches. Rotenone persistence was predicted by a model that used travel time, rubble, and ORP. When this model predicts a probability of less than 0.95, those who apply rotenone can expect incomplete eradication and should plan on fortifying rotenone concentrations. The significance of travel time has been previously identified and is currently used to predict rotenone persistence. However, rubble substrate, which may be associated with the degradation of rotenone by adsorption and volatilization in turbulent environments, was not previously considered.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadephia, PA","doi":"10.1080/00028487.2012.670186","usgsCitation":"Brown, P., and Zale, A.V., 2012, Rotenone persistence model for montane streams: Transactions of the American Fisheries Society, v. 141, no. 2, p. 560-569, https://doi.org/10.1080/00028487.2012.670186.","productDescription":"10 p.","startPage":"560","endPage":"569","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":257885,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257872,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.670186","linkFileType":{"id":5,"text":"html"}}],"volume":"141","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-27","publicationStatus":"PW","scienceBaseUri":"505aae9fe4b0c8380cd87135","contributors":{"authors":[{"text":"Brown, Peter J.","contributorId":63661,"corporation":false,"usgs":true,"family":"Brown","given":"Peter J.","affiliations":[],"preferred":false,"id":350382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":350381,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004519,"text":"70004519 - 2012 - Regional moisture balance control of landslide motion: implications for landslide forecasting in a changing climate","interactions":[],"lastModifiedDate":"2012-06-26T01:01:35","indexId":"70004519","displayToPublicDate":"2012-06-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Regional moisture balance control of landslide motion: implications for landslide forecasting in a changing climate","docAbstract":"I correlated 12 years of annual movement of 18 points on a large, continuously moving, deep-seated landslide with a regional moisture balance index (moisture balance drought index, MBDI). I used MBDI values calculated from a combination of historical precipitation and air temperature data from A.D. 1895 to 2010, and downscaled climate projections using the Intergovernmental Panel on Climate Change A2 emissions scenario for 2011&ndash;2099. At the landslide, temperature is projected to increase ~0.5 &deg;C/10 yr between 2011 and 2099, while precipitation decreases at a rate of ~2 mm/10 yr. Landslide movement correlated with the MBDI with integration periods of 12 and 48 months. The correlation between movement and MBDI suggests that the MBDI functions as a proxy for groundwater pore pressures and landslide mobility. I used the correlation to forecast decreasing landslide movement between 2011 and 2099, with the head of the landslide expected to stop moving in the mid-21st century. The MBDI, or a similar moisture balance index that accounts for evapotranspiration, has considerable potential as a tool for forecasting the magnitude of ongoing deep-seated landslide movement, and for assessing the onset or likelihood of regional, deep-seated landslide activity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CA","doi":"10.1130/G32897.1","usgsCitation":"Coe, J.A., 2012, Regional moisture balance control of landslide motion: implications for landslide forecasting in a changing climate: Geology, v. 40, no. 4, p. 323-326, https://doi.org/10.1130/G32897.1.","productDescription":"4 p.","startPage":"323","endPage":"326","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257861,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32897.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-02-14","publicationStatus":"PW","scienceBaseUri":"50e4a53be4b0e8fec6cdbda5","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":350556,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038825,"text":"sim3189 - 2012 - Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia","interactions":[],"lastModifiedDate":"2017-01-11T12:38:52","indexId":"sim3189","displayToPublicDate":"2012-06-25T00:00:00","publicationYear":"2012","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":"3189","title":"Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia","docAbstract":"Digital flood-inundation maps for a 5.5-mile reach of the Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, were developed by the U.S. Geological Survey (USGS) in cooperation with the City of Atlanta, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Peachtree Creek at Atlanta, Georgia (02336300) and the USGS streamgage at Chattahoochee River at Georgia 280, near Atlanta, Georgia (02336490). Current water level (stage) at these USGS streamgages may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood warning system (http:/water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that commonly are collocated at USGS streamgages. The forecasted peak-stage information for the USGS streamgage at Peachtree Creek, which is available through the AHPS Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers HEC&ndash;RAS software for a 6.5-mile reach of Peachtree Creek and was used to compute flood profiles for a 5.5-mile reach of the creek. The model was calibrated using the most current stage-discharge relations at the Peachtree Creek at Atlanta, Georgia, streamgage (02336300), and the Chattahoochee River at Georgia 280, near Atlanta, Georgia, streamgage (02336490) as well as high water marks collected during the 2010 annual peak flow event. The hydraulic model was then used to determine 50 water-surface profiles. The profiles are for 10 flood stages at the Peachtree Creek streamgage at 1-foot intervals referenced to the streamgage datum and ranging from just above bankfull stage (15.0 feet) to approximately the highest recorded water level at the streamgage (24.0 feet). At each stage on Peachtree Creek, five stages at the Chattahoochee River streamgage, from 26.4 feet to 38.4 feet in 3-foot intervals, were used to determine backwater effects. The simulated water-surface profiles were then combined with a geographic information system digital elevation model&mdash;derived from Light Detection and Ranging (LiDAR) data having a 0.3-foot vertical and 16.4-foot horizontal resolution&mdash;to delineate the area flooded for each 1-foot increment of stream stage. The availability of these maps, when combined with real-time information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with critical information during flood response activities, such as evacuations and road closures as well as for postflood-recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3189","collaboration":"Prepared in cooperation with the City of Atlanta, Georgia","usgsCitation":"Musser, J.W., 2012, Flood-inundation maps for Peachtree Creek from the Norfolk Southern Railway bridge to the Moores Mill Road NW bridge, Atlanta, Georgia: U.S. Geological Survey Scientific Investigations Map 3189, v [vi], 9 p.; PDF and JPG Downloads of Sheets 1-50: 35.00 x 24.00 inches; Downloads Directory, https://doi.org/10.3133/sim3189.","productDescription":"v [vi], 9 p.; PDF and JPG Downloads of Sheets 1-50: 35.00 x 24.00 inches; Downloads Directory","startPage":"i","endPage":"9","numberOfPages":"15","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":257880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3189.png"},{"id":257877,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3189/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Atlanta","otherGeospatial":"Peachtree Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.45,33.800555555555555 ], [ -84.45,33.81777777777778 ], [ -84.36694444444444,33.81777777777778 ], [ -84.36694444444444,33.800555555555555 ], [ -84.45,33.800555555555555 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1165e4b0c8380cd53f9d","contributors":{"authors":[{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465024,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003674,"text":"70003674 - 2012 - Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","interactions":[],"lastModifiedDate":"2020-01-11T12:00:43","indexId":"70003674","displayToPublicDate":"2012-06-23T19:24:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","docAbstract":"In the regulatory context, bioaccumulation assessment is often hampered by substantial data uncertainty as well as by the poorly understood differences often observed between results from laboratory and field bioaccumulation studies. Bioaccumulation is a complex, multifaceted process, which calls for accurate error analysis. Yet, attempts to quantify and compare propagation of error in bioaccumulation metrics across species and chemicals are rare. Here, we quantitatively assessed the combined influence of physicochemical, physiological, ecological, and environmental parameters known to affect bioaccumulation for 4 species and 2 chemicals, to assess whether uncertainty in these factors can explain the observed differences among laboratory and field studies. The organisms evaluated in simulations including mayfly larvae, deposit-feeding polychaetes, yellow perch, and little owl represented a range of ecological conditions and biotransformation capacity. The chemicals, pyrene and the polychlorinated biphenyl congener PCB-153, represented medium and highly hydrophobic chemicals with different susceptibilities to biotransformation. An existing state of the art probabilistic bioaccumulation model was improved by accounting for bioavailability and absorption efficiency limitations, due to the presence of black carbon in sediment, and was used for probabilistic modeling of variability and propagation of error. Results showed that at lower trophic levels (mayfly and polychaete), variability in bioaccumulation was mainly driven by sediment exposure, sediment composition and chemical partitioning to sediment components, which was in turn dominated by the influence of black carbon. At higher trophic levels (yellow perch and the little owl), food web structure (i.e., diet composition and abundance) and chemical concentration in the diet became more important particularly for the most persistent compound, PCB-153. These results suggest that variation in bioaccumulation assessment is reduced most by improved identification of food sources as well as by accounting for the chemical bioavailability in food components. Improvements in the accuracy of aqueous exposure appear to be less relevant when applied to moderate to highly hydrophobic compounds, because this route contributes only marginally to total uptake. The determination of chemical bioavailability and the increase in understanding and qualifying the role of sediment components (black carbon, labile organic matter, and the like) on chemical absorption efficiencies has been identified as a key next steps.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.217","usgsCitation":"Selck, H., Drouillard, K., Eisenreich, K., Koelmans, A.A., Palmqvist, A., Ruus, A., Salvito, D., Schultz, I., Stewart, A.R., Weisbrod, A., van den Brink, N.W., and van den Heuvel-Greve, M., 2012, Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach: Integrated Environmental Assessment and Management, v. 8, no. 1, p. 42-63, https://doi.org/10.1002/ieam.217.","productDescription":"22 p.","startPage":"42","endPage":"63","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":499906,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/explaining-differences-between-bioaccumulation-measurements-in-la","text":"External Repository"},{"id":257848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-01","publicationStatus":"PW","scienceBaseUri":"505a0e03e4b0c8380cd53280","contributors":{"authors":[{"text":"Selck, Henriette","contributorId":28475,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":348278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drouillard, Ken","contributorId":38001,"corporation":false,"usgs":true,"family":"Drouillard","given":"Ken","affiliations":[],"preferred":false,"id":348280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eisenreich, Karen","contributorId":18221,"corporation":false,"usgs":true,"family":"Eisenreich","given":"Karen","affiliations":[],"preferred":false,"id":348277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koelmans, Albert A.","contributorId":51594,"corporation":false,"usgs":true,"family":"Koelmans","given":"Albert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmqvist, Annemette","contributorId":53224,"corporation":false,"usgs":true,"family":"Palmqvist","given":"Annemette","email":"","affiliations":[],"preferred":false,"id":348283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruus, Anders","contributorId":36413,"corporation":false,"usgs":true,"family":"Ruus","given":"Anders","email":"","affiliations":[],"preferred":false,"id":348279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salvito, Daniel","contributorId":14687,"corporation":false,"usgs":true,"family":"Salvito","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":348276,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schultz, Irv","contributorId":81745,"corporation":false,"usgs":true,"family":"Schultz","given":"Irv","email":"","affiliations":[],"preferred":false,"id":348285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":348275,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weisbrod, Annie","contributorId":107976,"corporation":false,"usgs":true,"family":"Weisbrod","given":"Annie","email":"","affiliations":[],"preferred":false,"id":348286,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van den Brink, Nico W.","contributorId":39229,"corporation":false,"usgs":true,"family":"van den Brink","given":"Nico","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348281,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van den Heuvel-Greve, Martine","contributorId":80136,"corporation":false,"usgs":true,"family":"van den Heuvel-Greve","given":"Martine","affiliations":[],"preferred":false,"id":348284,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70038817,"text":"sim3205 - 2012 - Flood-inundation maps for the St. Marys River at Fort Wayne, Indiana","interactions":[],"lastModifiedDate":"2014-02-07T13:40:51","indexId":"sim3205","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","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":"3205","title":"Flood-inundation maps for the St. Marys River at Fort Wayne, Indiana","docAbstract":"Digital flood-inundation maps for a 9-mile reach of the St. Marys River that extends from South Anthony Boulevard to Main Street at Fort Wayne, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Fort Wayne. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at the USGS streamgage 04182000 St. Marys River near Fort Wayne, Ind. Current conditions at the USGS streamgages in Indiana may be obtained from the National Water Information System: Web Interface. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system. The NWS forecasts flood hydrographs at many places that are often collocated at USGS streamgages. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, water-surface profiles were simulated for the stream reach by means of a hydraulic one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the USGS streamgage 04182000 St. Marys River near Fort Wayne, Ind. The hydraulic model was then used to simulate 11 water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. A flood inundation map was generated for each water-surface profile stage (11 maps in all) so that for any given flood stage users will be able to view the estimated area of inundation. The availability of these maps along with current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3205","collaboration":"Prepared in Cooperation with the City of Fort Wayne, Indiana","usgsCitation":"Menke, C.D., Kim, M.H., and Fowler, K.K., 2012, Flood-inundation maps for the St. Marys River at Fort Wayne, Indiana: U.S. Geological Survey Scientific Investigations Map 3205, iv, 7 p.; Data Files; Dataset Directory, README, Vector Metadata, Raster Metadata; 11 Sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches; 11 low resolution sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 11: 17.03 inches x 22.00 inches, https://doi.org/10.3133/sim3205.","productDescription":"iv, 7 p.; Data Files; Dataset Directory, README, Vector Metadata, Raster Metadata; 11 Sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches; 11 low resolution sheets; Sheet 1: 17.03 inches x 22.00 inches, Sheet 2: 17.03 inches x 22.00 inches, Sheet 3: 17.03 inches x 22.00 inches, Sheet 4: 17.03 inches x 22.00 inches, Sheet 5: 17.00 inches x 22.00 inches, Sheet 6: 17.03 inches x 22.00 inches, Sheet 7: 17.03 inches x 22.00 inches, Sheet 8: 17.03 inches x 22.00 inches, Sheet 9: 17.03 inches x 22.00 inches, Sheet 10: 17.03 inches x 22.00 inches, Sheet 11: 17.03 inches x 22.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":257835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3205.jpg"},{"id":257828,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3205/","linkFileType":{"id":5,"text":"html"}},{"id":282118,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3205/contents/SIM3205_pamphlet.pdf"}],"scale":"36000","projection":"Transverse Mercator","datum":"North American Vertical Datum 1988","country":"United States","state":"Indiana","city":"Fort Wayne","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.2,40.96666666666667 ], [ -85.2,41.1 ], [ -85.1,41.1 ], [ -85.1,40.96666666666667 ], [ -85.2,40.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1168e4b0c8380cd53fae","contributors":{"authors":[{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":464991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038818,"text":"ofr20121124 - 2012 - Endocrine disrupting chemicals in Minnesota lakes - Water-quality and hydrological data from 2008 and 2010","interactions":[],"lastModifiedDate":"2012-06-26T01:01:35","indexId":"ofr20121124","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","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":"2012-1124","title":"Endocrine disrupting chemicals in Minnesota lakes - Water-quality and hydrological data from 2008 and 2010","docAbstract":"Understanding the sources, fate, and effects of endocrine disrupting chemicals in aquatic ecosystems is important for water-resource management. This study was conducted during 2008 and 2010 to establish a framework for assessing endocrine disrupting chemicals, and involved a statewide survey of their occurrence in 14 Minnesota lakes and a targeted study of different microhabitats on a single lake. The lakes ranged in size from about 0.1 to 100 square kilometers, varied in trophic status from oligotrophic to eutrophic, and spanned a range of land-uses from wetlands and forest to agricultural and urban use. Water and sediment samples were collected from the near-shore littoral environment and analyzed for endocrine disrupting chemicals, including trace elements, acidic organic compounds, neutral organic compounds, and steroidal hormones. In addition, polar organic compound integrative samplers were deployed for 21 days and analyzed for the same organic compounds. One lake was selected for a detailed microhabitat study of multiple near-shore environments. This report compiles the results from the field measurements and laboratory chemical analysis of water, sediment, and polar organic compound integrative sampler samples collected during 2008 and 2010. Most of the organic compounds measured were not detected in any of the water samples, although a few compounds were detected in several of the lakes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121124","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Barber, L.B., Writer, J.H., Keefe, S., Brown, G.K., Ferrey, M.L., Jahns, N.D., Kiesling, R.L., Lundy, J.R., Poganski, B.H., Rosenberry, D.O., Taylor, H.E., Woodruff, O., and Schoenfuss, H.L., 2012, Endocrine disrupting chemicals in Minnesota lakes - Water-quality and hydrological data from 2008 and 2010: U.S. Geological Survey Open-File Report 2012-1124, viii, 13 p.; Figures: pgs. 14-16; Tables: pgs. 17-53, https://doi.org/10.3133/ofr20121124.","productDescription":"viii, 13 p.; Figures: pgs. 14-16; Tables: pgs. 17-53","startPage":"i","endPage":"53","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":257836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1124.jpg"},{"id":257853,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1124/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.2,43.56666666666667 ], [ -97.2,49.38333333333333 ], [ -89.56666666666666,49.38333333333333 ], [ -89.56666666666666,43.56666666666667 ], [ -97.2,43.56666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0926e4b0c8380cd51e1b","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - 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,{"id":70038816,"text":"sim3213 - 2012 - Bathymetric contours of Breckenridge Reservoir, Quantico, Virginia","interactions":[],"lastModifiedDate":"2021-12-07T21:50:37.848155","indexId":"sim3213","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","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":"3213","title":"Bathymetric contours of Breckenridge Reservoir, Quantico, Virginia","docAbstract":"Breckenridge Reservoir, built in 1938, is fed by Chopawamsic Creek and South Branch Chopawamsic Creek. The Reservoir is a main source of drinking water for the U.S. Marine Corps (USMC) Base in Quantico, Virginia. The U.S. Geological Survey (USGS), in cooperation with the USMC, conducted a bathymetric survey of Breckenridge Reservoir in March 2009. The survey was conducted to provide the USMC Natural Resources and Environmental Affairs (NREA) with information regarding reservoir storage capacity and general bathymetric properties. The bathymetric survey can provide a baseline for future work on sediment loads and deposition rates for the reservoir. Bathymetric data were collected using a boat-mounted Wide Area Augmentation System (WAAS) differential global positioning system (DGPS), echo depth-sounding equipment, and computer software. Data were exported into a geographic information system (GIS) for mapping and calculating area and volume. Reservoir storage volume at the time of the survey was about 22,500,000 cubic feet (517 acre-feet) with a surface area of about 1,820,000 square feet (41.9 acres).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3213","collaboration":"Prepared in cooperation with the U.S. Marine Corps, Quantico, Virginia","usgsCitation":"Wicklein, S., Lotspeich, R., and Banks, R., 2012, Bathymetric contours of Breckenridge Reservoir, Quantico, Virginia: U.S. Geological Survey Scientific Investigations Map 3213, Sheet: 36 inches x 36 inches, https://doi.org/10.3133/sim3213.","productDescription":"Sheet: 36 inches x 36 inches","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":257834,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3213.jpg"},{"id":257825,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3213/","linkFileType":{"id":5,"text":"html"}},{"id":392613,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3213/pdf/SIM3213.pdf","text":"SIM 3213","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.4,38.53361111111111 ], [ -77.4,38.55 ], [ -77.38416666666667,38.55 ], [ -77.38416666666667,38.53361111111111 ], [ -77.4,38.53361111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f001e4b0c8380cd4a56a","contributors":{"authors":[{"text":"Wicklein, S.M.","contributorId":74420,"corporation":false,"usgs":true,"family":"Wicklein","given":"S.M.","affiliations":[],"preferred":false,"id":464989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lotspeich, R.R.","contributorId":38002,"corporation":false,"usgs":true,"family":"Lotspeich","given":"R.R.","email":"","affiliations":[],"preferred":false,"id":464987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banks, R.B. III","contributorId":45177,"corporation":false,"usgs":true,"family":"Banks","given":"R.B.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":464988,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038287,"text":"70038287 - 2012 - Vulnerability of recently recharged groundwater in principal aquifers of the United States to nitrate contamination","interactions":[],"lastModifiedDate":"2012-06-23T01:01:40","indexId":"70038287","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of recently recharged groundwater in principal aquifers of the United States to nitrate contamination","docAbstract":"Recently recharged water (defined here as <60 years old) is generally the most vulnerable part of a groundwater resource to nonpoint-source nitrate contamination. Understanding at the appropriate scale the interactions of natural and anthropogenic controlling factors that influence nitrate occurrence in recently recharged groundwater is critical to support best management and policy decisions that are often made at the aquifer to subaquifer scale. New logistic regression models were developed using data from the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) program and National Water Information System for 17 principal aquifers of the U.S. to identify important source, transport, and attenuation factors that control nonpoint source nitrate concentrations greater than relative background levels in recently recharged groundwater and were used to predict the probability of detecting elevated nitrate in areas beyond the sampling network. Results indicate that dissolved oxygen, crops and irrigated cropland, fertilizer application, seasonally high water table, and soil properties that affect infiltration and denitrification are among the most important factors in predicting elevated nitrate concentrations. Important differences in controlling factors and spatial predictions were identified in the principal aquifer and national-scale models and support the conclusion that similar spatial scales are needed between informed groundwater management and model development.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Washington, D.C.","doi":"10.1021/es300688b","usgsCitation":"Gurdak, J., and Qi, S.L., 2012, Vulnerability of recently recharged groundwater in principal aquifers of the United States to nitrate contamination: Environmental Science & Technology, v. 46, no. 11, p. 6004-6012, https://doi.org/10.1021/es300688b.","productDescription":"9 p.","startPage":"6004","endPage":"6012","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"links":[{"id":257829,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es300688b"},{"id":257830,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"46","issue":"11","noUsgsAuthors":false,"publicationDate":"2012-05-24","publicationStatus":"PW","scienceBaseUri":"505bc381e4b08c986b32b202","contributors":{"authors":[{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":463803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463802,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038078,"text":"70038078 - 2012 - Variance of discharge estimates sampled using acoustic Doppler current profilers from moving boats","interactions":[],"lastModifiedDate":"2012-06-23T01:01:40","indexId":"70038078","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Variance of discharge estimates sampled using acoustic Doppler current profilers from moving boats","docAbstract":"This paper presents a model for quantifying the random errors (i.e., variance) of acoustic Doppler current profiler (ADCP) discharge measurements from moving boats for different sampling times. The model focuses on the random processes in the sampled flow field and has been developed using statistical methods currently available for uncertainty analysis of velocity time series. Analysis of field data collected using ADCP from moving boats from three natural rivers of varying sizes and flow conditions shows that, even though the estimate of the integral time scale of the actual turbulent flow field is larger than the sampling interval, the integral time scale of the sampled flow field is on the order of the sampling interval. Thus, an equation for computing the variance error in discharge measurements associated with different sampling times, assuming uncorrelated flow fields is appropriate. The approach is used to help define optimal sampling strategies by choosing the exposure time required for ADCPs to accurately measure flow discharge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)HY.1943-7900.0000558","usgsCitation":"Garcia, C.M., Tarrab, L., Oberg, K., Szupiany, R., and Cantero, M.I., 2012, Variance of discharge estimates sampled using acoustic Doppler current profilers from moving boats: Journal of Hydraulic Engineering, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000558.","numberOfPages":"39","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":257832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257827,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000558"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc14de4b08c986b32a500","contributors":{"authors":[{"text":"Garcia, Carlos M.","contributorId":71432,"corporation":false,"usgs":true,"family":"Garcia","given":"Carlos","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tarrab, Leticia","contributorId":64116,"corporation":false,"usgs":true,"family":"Tarrab","given":"Leticia","email":"","affiliations":[],"preferred":false,"id":463415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oberg, Kevin","contributorId":89385,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","affiliations":[],"preferred":false,"id":463417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szupiany, Ricardo","contributorId":42494,"corporation":false,"usgs":true,"family":"Szupiany","given":"Ricardo","affiliations":[],"preferred":false,"id":463414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cantero, Mariano I.","contributorId":37609,"corporation":false,"usgs":true,"family":"Cantero","given":"Mariano","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":463413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007520,"text":"70007520 - 2012 - Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis","interactions":[],"lastModifiedDate":"2012-06-23T01:01:39","indexId":"70007520","displayToPublicDate":"2012-06-21T20:06:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis","docAbstract":"<p>Introduction</p>\n<p>Evaluating the environmental impacts of climate change on water resources and biological components of the landscape is an integral part of hydrologic and ecological investigations, and the resultant land and resource management in the twenty-first century. Impacts of both climate and simulated hydrologic parameters on ecological processes are relevant at scales that reflect the heterogeneity and complexity of landscapes. At present, simulations of climate change available from global climate models [GCMs] require downscaling for hydrologic or ecological applications.</p>\n<p>Methods</p>\n<p>Using statistically downscaled future climate projections developed using constructed analogues, a methodology was developed to further downscale the projections spatially using a gradient-inverse-distance-squared approach for application to hydrologic modeling at 270-m spatial resolution.</p>\n<p>Results</p>\n<p>This paper illustrates a methodology to downscale and bias-correct national GCMs to subkilometer scales that are applicable to fine-scale environmental processes. Four scenarios were chosen to bracket the range of future emissions put forth by the Intergovernmental Panel on Climate Change. Fine-scale applications of downscaled datasets of ecological and hydrologic correlations to variation in climate are illustrated.</p>\n<p>Conclusions</p>\n<p>The methodology, which includes a sequence of rigorous analyses and calculations, is intended to reduce the addition of uncertainty to the climate data as a result of the downscaling while providing the fine-scale climate information necessary for ecological analyses. It results in new but consistent data sets for the US at 4 km, the southwest US at 270 m, and California at 90 m and illustrates the utility of fine-scale downscaling to analyses of ecological processes influenced by topographic complexity.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1186/2192-1709-1-2","usgsCitation":"Flint, L.E., and Flint, A.L., 2012, Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis: Ecological Processes, v. 1, no. 1, 15 p.; Article 2, https://doi.org/10.1186/2192-1709-1-2.","productDescription":"15 p.; Article 2","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474445,"rank":201,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2192-1709-1-2","text":"Publisher Index Page"},{"id":257796,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257794,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1186/2192-1709-1-2","linkFileType":{"id":5,"text":"html"}}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-10","publicationStatus":"PW","scienceBaseUri":"505a03b3e4b0c8380cd50601","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":356602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003911,"text":"70003911 - 2012 - Frequency-dependent attenuation of the Hispaniola Island region of the Caribbean Sea","interactions":[],"lastModifiedDate":"2012-06-23T01:01:39","indexId":"70003911","displayToPublicDate":"2012-06-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Frequency-dependent attenuation of the Hispaniola Island region of the Caribbean Sea","docAbstract":"We determine frequency-dependent attenuation 1/Q(<i>f</i>) for the Hispaniola region using direct <i>S</i> and <i>Lg</i> waves over five distinct passbands from 0.5 to 16 Hz. Data consist of 832 high-quality vertical and horizontal component waveforms recorded on short-period and broadband seismometers from the devastating 12 January 2010 <b>M</b> 7.0 Haiti earthquake and the rich sequence of aftershocks. For the distance range 250&ndash;700 km, we estimate an average frequency-dependent Q(<i>f</i>)=224(&plusmn;27)<i>f</i><sup>0.64(&plusmn;0.073)</sup> using horizontal components of motion and note that Q(<i>f</i>) estimated with <i>Lg</i> at regional distances is very consistent across vertical and horizontal components. We also determine a Q(<i>f</i>)=142(&plusmn;21)<i>f</i><sup>0.71(&plusmn;0.11)</sup> for direct <i>S</i> waves at local distances, &le;100 km. The strong attenuation observed on both vertical and horizontal components of motion is consistent with expectations for a tectonically active region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110137","usgsCitation":"McNamara, D., Meremonte, M., Maharrey, J., Mildor, S., Altidore, J., Anglade, D., Hough, S., Given, D., Benz, H., Gee, L., and Frankel, A., 2012, Frequency-dependent attenuation of the Hispaniola Island region of the Caribbean Sea: Bulletin of the Seismological Society of America, v. 102, no. 2, p. 773-782, https://doi.org/10.1785/0120110137.","productDescription":"10 p.","startPage":"773","endPage":"782","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257782,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257781,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110137","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Caribbean Sea;Hispaniola","volume":"102","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","scienceBaseUri":"505a13d5e4b0c8380cd547ca","contributors":{"authors":[{"text":"McNamara, D.","contributorId":81743,"corporation":false,"usgs":true,"family":"McNamara","given":"D.","email":"","affiliations":[],"preferred":false,"id":349439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meremonte, M.","contributorId":22915,"corporation":false,"usgs":true,"family":"Meremonte","given":"M.","affiliations":[],"preferred":false,"id":349432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maharrey, J.Z.","contributorId":27726,"corporation":false,"usgs":true,"family":"Maharrey","given":"J.Z.","email":"","affiliations":[],"preferred":false,"id":349434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mildor, S-L.","contributorId":25814,"corporation":false,"usgs":true,"family":"Mildor","given":"S-L.","email":"","affiliations":[],"preferred":false,"id":349433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Altidore, J.R.","contributorId":65711,"corporation":false,"usgs":true,"family":"Altidore","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":349438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anglade, D.","contributorId":87012,"corporation":false,"usgs":true,"family":"Anglade","given":"D.","email":"","affiliations":[],"preferred":false,"id":349440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hough, S. E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":7316,"corporation":false,"usgs":true,"family":"Hough","given":"S. E.","affiliations":[],"preferred":false,"id":349431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Given, D.","contributorId":30403,"corporation":false,"usgs":true,"family":"Given","given":"D.","email":"","affiliations":[],"preferred":false,"id":349435,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Benz, H.","contributorId":61953,"corporation":false,"usgs":true,"family":"Benz","given":"H.","email":"","affiliations":[],"preferred":false,"id":349437,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gee, L.","contributorId":101066,"corporation":false,"usgs":true,"family":"Gee","given":"L.","email":"","affiliations":[],"preferred":false,"id":349441,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Frankel, A. 0000-0001-9119-6106","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":41593,"corporation":false,"usgs":true,"family":"Frankel","given":"A.","affiliations":[],"preferred":false,"id":349436,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70038809,"text":"ofr20121130 - 2012 - Assessing native and introduced fish predation on migrating juvenile salmon in Priest Rapids and Wanapum Reservoirs, Columbia River, Washington, 2009--11","interactions":[],"lastModifiedDate":"2016-05-03T12:19:51","indexId":"ofr20121130","displayToPublicDate":"2012-06-21T00:00:00","publicationYear":"2012","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":"2012-1130","title":"Assessing native and introduced fish predation on migrating juvenile salmon in Priest Rapids and Wanapum Reservoirs, Columbia River, Washington, 2009--11","docAbstract":"<p>Hydroelectric development on the mainstem Columbia River has created a series of impoundments that promote the production of native and non-native piscivores. Reducing the effects of fish predation on migrating juvenile salmonids has been a major component of mitigating the effects of hydroelectric development in the Columbia River basin. Extensive research examining juvenile salmon predation has been conducted in the lower Columbia River. Fewer studies of predation have been done in the Columbia River upstream of its confluence with the Snake River; the most comprehensive predation study being from the early 1990s. The Public Utility District No. 2 of Grant County, Washington initiated a northern pikeminnow removal program in 1995 in an attempt to reduce predation on juvenile salmonids. However, there has been no assessment of the relative predation within the Priest Rapids Project since the removal program began. Further, there is concern about the effects of piscivores other than northern pikeminnow (<i>Ptychocheilus oregonensis</i>), such as channel catfish (<i>Ictalurus punctatus</i>), smallmouth bass (<i>Micropterus dolomieu</i>), and walleye (<i>Sander vitreus</i>, formerly<i>Stizostedion vitreum</i>). The Public Utility District No. 2 of Grant County, Washington and the Priest Rapids Coordinating Committee requested that the U.S. Geological Survey, in collaboration with the Washington Department of Fish and Wildlife, assist them in evaluating the effects of native and introduced predatory fish on migrating juvenile salmon. From 2009 to 2010, we conducted sampling in the 103 kilometers (64 river miles) of the Columbia River from the tailrace of Rock Island Dam downstream to the tailrace of Priest Rapids Dam. To assess predation, we used electrofishing to collect northern pikeminnow, smallmouth bass, and walleye to analyze their diets during 2009 and 2010. In 2009, we used methods to allow comparisons to a previous study conducted in 1993. During 2009, we also used an alternate sampling strategy using habitat data and geographic information system software to select sites and allocate samples. In 2010, we used the data collected during 2009 to further refine our sampling design, with the intent of using the data collected during 2010 to formulate a design strategy for implementation during 2011. Based on the results of 2011, we would then propose a strategy for future studies. However, during 2011, our efforts were redirected to specifically address factors that may be affecting steelhead trout survival in the Priest Rapids Reservoir, Columbia River.</p>\n<p>We used the catch and diet data collected in 2009 and 2010 to estimate relative abundance, consumption, and predation indices for northern pikeminnow and smallmouth bass. Despite extensive sampling in the study area in 2009 and 2010, very few channel catfish and walleye were captured. The mean total lengths of northern pikeminnow were much lower than those observed in 1993; suggesting that efforts to remove northern pikeminnow in the study area may be shifting the population towards smaller fish. The northern pikeminnow predation index values were lower in 2009 than in the 1993 study. The reduced predation levels observed may be due to the prevalence of smaller pikeminnow in our catches than in catches reported in 1993. Predation by smallmouth bass was lower in 2009 than in 2010, and generally was greater than predation for northern pikeminnow. Predation for northern pikeminnow was concentrated in the tailrace areas of Priest Rapids, Wanapum, and Rock Island Dams; predation for smallmouth bass was concentrated in the forebay and mid-reservoir sections of the study area. Our results indicate areas where control measures for smallmouth bass could be concentrated to reduce predation in the Priest Rapids Project.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121130","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife","usgsCitation":"Counihan, T.D., Hardiman, J.M., Burgess, D.S., Simmons, K.E., Holmberg, G.S., Rogala, J.A., and Polacek, R.R., 2012, Assessing native and introduced fish predation on migrating juvenile salmon in Priest Rapids and Wanapum Reservoirs, Columbia River, Washington, 2009--11: U.S. Geological Survey Open-File Report 2012-1130, viii, 28 p.; Figures: pgs. 29-61; Tables: pgs. 62-68, https://doi.org/10.3133/ofr20121130.","productDescription":"viii, 28 p.; Figures: pgs. 29-61; Tables: pgs. 62-68","startPage":"i","endPage":"68","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":257785,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1130.jpg"},{"id":257784,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1130/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River, Priest Rapids Reservoir, Wanapum Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.1849365234375,\n              46.50973514453879\n            ],\n            [\n              -120.1849365234375,\n              47.32393057095941\n            ],\n            [\n              -119.69604492187499,\n              47.32393057095941\n            ],\n            [\n              -119.69604492187499,\n              46.50973514453879\n            ],\n            [\n              -120.1849365234375,\n              46.50973514453879\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eddbe4b0c8380cd49a65","contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, Dave S.","contributorId":8714,"corporation":false,"usgs":true,"family":"Burgess","given":"Dave","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":464976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Katrina E.","contributorId":50395,"corporation":false,"usgs":true,"family":"Simmons","given":"Katrina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmberg, Glen S. gholmberg@usgs.gov","contributorId":4342,"corporation":false,"usgs":true,"family":"Holmberg","given":"Glen","email":"gholmberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":464975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogala, Josh A.","contributorId":97369,"corporation":false,"usgs":true,"family":"Rogala","given":"Josh","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464979,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Polacek, Rochelle R.","contributorId":45173,"corporation":false,"usgs":true,"family":"Polacek","given":"Rochelle","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70038827,"text":"ofr20121126 - 2012 - 234U/238U isotope data from groundwater and solid-phase leachate samples near Tuba City Open Dump, Tuba City, Arizona","interactions":[],"lastModifiedDate":"2021-10-13T18:48:08.260831","indexId":"ofr20121126","displayToPublicDate":"2012-06-20T14:53:00","publicationYear":"2012","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":"2012-1126","displayTitle":"<sup>234</sup>U/<sup>238</sup>U isotope data from groundwater and solid-phase leachate samples near Tuba City Open Dump, Tuba City, Arizona","title":"234U/238U isotope data from groundwater and solid-phase leachate samples near Tuba City Open Dump, Tuba City, Arizona","docAbstract":"This report releases <sup>234</sup>U/<sup>238</sup>U isotope data, expressed as activity ratios, and uranium concentration data from analyses completed at Northern Arizona University for groundwater and solid-phase leachate samples that were collected in and around Tuba City Open Dump, Tuba City, Arizona, in 2008.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121126","collaboration":"Prepared in cooperation with the Bureau of Indian Affairs","usgsCitation":"Johnson, R.H., Horton, R., Otton, J.K., and Ketterer, M.K., 2012, 234U/238U isotope data from groundwater and solid-phase leachate samples near Tuba City Open Dump, Tuba City, Arizona: U.S. Geological Survey Open-File Report 2012-1126, iii, 2 p.; 2 Appendices; PDF Download of Table 1; XLSX Download of Table 1, https://doi.org/10.3133/ofr20121126.","productDescription":"iii, 2 p.; 2 Appendices; PDF Download of Table 1; XLSX Download of Table 1","startPage":"i","endPage":"2","numberOfPages":"5","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":390484,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1126/AppendixB.pdf","text":"Appendix B","linkFileType":{"id":1,"text":"pdf"}},{"id":390481,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1126/Table1.pdf","text":"Table 1","linkFileType":{"id":1,"text":"pdf"}},{"id":390483,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2012/1126/Table1.xlsx","text":"Table 1","linkFileType":{"id":3,"text":"xlsx"}},{"id":390480,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1126/OF12-1126.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":257874,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1126/","linkFileType":{"id":5,"text":"html"}},{"id":390482,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1126/AppendixA.pdf","text":"Appendix A","linkFileType":{"id":1,"text":"pdf"}},{"id":257882,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1126.gif"}],"country":"United States","state":"Arizona","city":"Tuba City","otherGeospatial":"Tuba City Open Dump","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd493ae4b0b290850eeffc","contributors":{"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":465029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, Robert 0000-0001-5578-3733 rhorton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-3733","contributorId":612,"corporation":false,"usgs":true,"family":"Horton","given":"Robert","email":"rhorton@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":465028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otton, James K. jkotton@usgs.gov","contributorId":1170,"corporation":false,"usgs":true,"family":"Otton","given":"James","email":"jkotton@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":465030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ketterer, Michael K.","contributorId":93756,"corporation":false,"usgs":true,"family":"Ketterer","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":465031,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003765,"text":"70003765 - 2012 - Characterization of intrabasin faulting and deformation for earthquake hazards in southern Utah Valley, Utah, from high-resolution seismic imaging","interactions":[],"lastModifiedDate":"2012-07-27T01:01:50","indexId":"70003765","displayToPublicDate":"2012-06-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of intrabasin faulting and deformation for earthquake hazards in southern Utah Valley, Utah, from high-resolution seismic imaging","docAbstract":"We conducted active and passive seismic imaging investigations along a 5.6-km-long, east&ndash;west transect ending at the mapped trace of the Wasatch fault in southern Utah Valley. Using two-dimensional (2D) P-wave seismic reflection data, we imaged basin deformation and faulting to a depth of 1.4 km and developed a detailed interval velocity model for prestack depth migration and 2D ground-motion simulations. Passive-source microtremor data acquired at two sites along the seismic reflection transect resolve S-wave velocities of approximately 200 m/s at the surface to about 900 m/s at 160 m depth and confirm a substantial thickening of low-velocity material westward into the valley. From the P-wave reflection profile, we interpret shallow (100&ndash;600 m) bedrock deformation extending from the surface trace of the Wasatch fault to roughly 1.5 km west into the valley. The bedrock deformation is caused by multiple interpreted fault splays displacing fault blocks downward to the west of the range front. Further west in the valley, the P-wave data reveal subhorizontal horizons from approximately 90 to 900 m depth that vary in thickness and whose dip increases with depth eastward toward the Wasatch fault. Another inferred fault about 4 km west of the mapped Wasatch fault displaces horizons within the valley to as shallow as 100 m depth. The overall deformational pattern imaged in our data is consistent with the Wasatch fault migrating eastward through time and with the abandonment of earlier synextensional faults, as part of the evolution of an inferred 20-km-wide half-graben structure within Utah Valley. Finite-difference 2D modeling suggests the imaged subsurface basin geometry can cause fourfold variation in peak ground velocity over distances of 300 m.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110053","usgsCitation":"Stephenson, W.J., Odum, J.K., Williams, R., McBride, J.H., and Tomlinson, I., 2012, Characterization of intrabasin faulting and deformation for earthquake hazards in southern Utah Valley, Utah, from high-resolution seismic imaging: Bulletin of the Seismological Society of America, v. 102, no. 2, p. 524-540, https://doi.org/10.1785/0120110053.","productDescription":"17 p.","startPage":"524","endPage":"540","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257769,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110053","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Utah Valley","volume":"102","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","scienceBaseUri":"5059f4cde4b0c8380cd4bf17","contributors":{"authors":[{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":348770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Odum, Jack K. 0000-0002-3162-0355","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":97900,"corporation":false,"usgs":true,"family":"Odum","given":"Jack","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":348774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Robert A. rawilliams@usgs.gov","contributorId":1357,"corporation":false,"usgs":true,"family":"Williams","given":"Robert A.","email":"rawilliams@usgs.gov","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":false,"id":348771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McBride, John H.","contributorId":80535,"corporation":false,"usgs":true,"family":"McBride","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":348773,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tomlinson, Iris","contributorId":21816,"corporation":false,"usgs":true,"family":"Tomlinson","given":"Iris","email":"","affiliations":[],"preferred":false,"id":348772,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038752,"text":"sir20115218 - 2012 - Status and understanding of groundwater quality in the two southern San Joaquin Valley study units, 2005-2006 - California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2012-06-21T01:01:41","indexId":"sir20115218","displayToPublicDate":"2012-06-20T00:00:00","publicationYear":"2012","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":"2011-5218","title":"Status and understanding of groundwater quality in the two southern San Joaquin Valley study units, 2005-2006 - California GAMA Priority Basin Project","docAbstract":"Groundwater quality in the southern San Joaquin Valley was investigated from October 2005 through March 2006 as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project is conducted by the U.S. Geological Survey (USGS) in collaboration with the California State Water Resources Control Board and the Lawrence Livermore National Laboratory. There are two study units located in the southern San Joaquin Valley: the Southeast San Joaquin Valley (SESJ) study unit and the Kern County Subbasin (KERN) study unit. The GAMA Priority Basin Project in the SESJ and KERN study units was designed to provide a statistically unbiased, spatially distributed assessment of untreated groundwater quality within the primary aquifers. The status assessment is based on water-quality and ancillary data collected in 2005 and 2006 by the USGS from 130 wells on a spatially distributed grid, and water-quality data from the California Department of Public Health (CDPH) database. Data was collected from an additional 19 wells for the understanding assessment. The aquifer systems (hereinafter referred to as primary aquifers) were defined as that part of the aquifer corresponding to the perforation interval of wells listed in the CDPH database for the SESJ and KERN study units. The status assessment of groundwater quality used data from samples analyzed for anthropogenic constituents such as volatile organic compounds (VOCs) and pesticides, as well as naturally occurring inorganic constituents such as major ions and trace elements. The status assessment is intended to characterize the quality of untreated groundwater resources within the primary aquifers in the SESJ and KERN study units, not the quality of drinking water delivered to consumers. Although the status assessment applies to untreated groundwater, Federal and California regulatory and non-regulatory water-quality benchmarks that apply to drinking water are used to provide context for the results. Relative-concentrations (sample concentration divided by benchmark concentration) were used for evaluating groundwater. A relative-concentration greater than 1.0 indicates a concentration greater than the benchmark and is classified as high. The relative-concentration threshold for classifying inorganic constituents as moderate or low was 0.5; for organic constituents the threshold between moderate and low was 0.1. Aquifer-scale proportion was used as the primary metric for assessing the quality of untreated groundwater for the study units. High aquifer-scale proportion is defined as the areal percentage of the primary aquifers with a high relative-concentration for a particular constituent or class of constituents. Moderate and low aquifer-scale proportions were defined as the areal percentage of the primary aquifers with moderate and low relative-concentrations, respectively. Two statistical approaches&mdash;grid-based and spatially weighted&mdash;were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable for the two study units in the southern San Joaquin Valley (within 90 percent confidence intervals). The status assessment showed that inorganic constituents were more prevalent than organic constituents and that relative-concentrations were higher for inorganic constituents than for organic constituents. For inorganic constituents with human-health benchmarks, the relative-concentration of at least one constituent in the SESJ study unit was high in 30 percent of the primary aquifers. In the KERN study unit, the relative-concentration of at least one constituent was high in 23 percent of the primary aquifers. In the SESJ and KERN study units, the inorganic constituents with human-health benchmarks detected at high relative-concentrations in more than 2 percent of the primary aquifers were arsenic, boron, vanadium, nitrate, uranium, and gross alpha radioactivity. Additional constituents with human-health benchmarks&mdash;antimony, radium, and fluoride&mdash;were detected at high relative-concentrations in the KERN study unit. For inorganic constituents with aesthetic benchmarks (secondary maximum contaminant levels, SMCLs), the relative-concentration of at least one constituent in the SESJ study unit was high in 6.6 percent of the primary aquifers. In the KERN study unit, the relative-concentration of at least one constituent was high in 22 percent of the primary aquifers. Inorganic constituents with aesthetic benchmarks detected at high relative-concentrations in the primary aquifers in the SESJ and KERN study units were iron and manganese. Additional constituents with aesthetic benchmarks&mdash;total dissolved solids (TDS), sulfate, and chloride&mdash;were detected at high relative-concentrations in the KERN study unit. In contrast, the status assessment for organic constituents with human-health benchmarks showed that relative-concentrations were high in 4.8 percent and 2.1 percent of the primary aquifers in the SESJ and KERN study units, respectively. The special-interest constituent, perchlorate, was detected at high relative-concentrations in 1.2 percent of the primary aquifers in the SESJ study unit. Twenty-eight of the 78 VOCs (not including fumigants) analyzed were detected. Of these 28 VOCs, benzene had high relative-concentrations in the SESJ study unit, and relative-concentrations for the other 27 VOCs were moderate and low. Five of the 10 fumigants were detected; 1,2-dibromo-3-chloropropane (DBCP) was the only fumigant with high relative-concentrations in the SESJ and KERN study units. Of the 136 pesticides and pesticide degradates analyzed, 33 were detected. Human-health benchmarks were established for eighteen of the detected pesticides. Dieldrin was detected at moderate relative-concentrations in the SESJ and KERN study units. All other pesticides detected with human-health benchmarks were present at low relative-concentrations. The detection frequencies for two of these pesticides&mdash;simazine and atrazine&mdash;were greater than or equal to 10 percent in the SESJ and KERN study units. The understanding assessment of groundwater quality included an analysis of correlations of selected water-quality constituents or classes of constituents with potential explanatory factors. The understanding assessment indicated that the concentrations of many trace elements and major ions were correlated to well depth, groundwater age, and/or geochemical conditions. Many trace elements were positively correlated with depth. Arsenic, boron, vanadium, fluoride, manganese, and iron concentrations increased with well depth or depth to top-of-perforations. The concentrations for these trace elements also were higher in older (pre-modern) groundwater. In contrast, uranium concentrations decreased with increasing depth and groundwater age. Most trace elements were correlated to geochemical conditions. Arsenic, antimony, boron, fluoride, manganese, and iron concentrations generally were higher wherever the pH of the groundwater was greater than 7.6. Concentrations for these constituents generally were higher at low concentrations of dissolved oxygen (DO). Uranium was the exception; uranium concentrations generally were lower at high pH and at high concentrations of DO. Nitrate concentrations generally were lower in deeper wells. Nitrate concentrations also were higher in groundwater with higher DO. Total dissolved solids, sulfate, and chloride concentrations were higher in the KERN study unit than in the SESJ study unit. Total dissolved solids were negatively correlated with pH in the KERN study unit. Total dissolved solids and sulfate were higher in areas with more agricultural land use. Chloride concentrations increased with depth to top-of-perforations in the KERN study unit. Organic constituents and constituents of special interest, like many inorganic constituents, were correlated with well depth, groundwater age, and DO. Unlike most trace elements, however, solvent and pesticide detections, and total trihalomethanes (THM), DBCP, and perchlorate concentrations decreased with increasing well depth. Volatile organic compound, solvent, and pesticide detections, and THM concentrations also were lower in older (pre-modern) groundwater than in modern-age groundwater. Solvent detections and total THM, DBCP, and perchlorate concentrations increased with increasing DO concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115218","collaboration":"Prepared in cooperation with the California State Water Resources Control Board. A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","usgsCitation":"Burton, C., Shelton, J.L., and Belitz, K., 2012, Status and understanding of groundwater quality in the two southern San Joaquin Valley study units, 2005-2006 - California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2011-5218, xii, 106 p.; Appendices, https://doi.org/10.3133/sir20115218.","productDescription":"xii, 106 p.; Appendices","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":257733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5218.jpg"},{"id":257730,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5218/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area Conic","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,34.833333333333336 ], [ -121,37 ], [ -118,37 ], [ -118,34.833333333333336 ], [ -121,34.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b979de4b08c986b31bb84","contributors":{"authors":[{"text":"Burton, Carmen A. 0000-0002-6381-8833","orcid":"https://orcid.org/0000-0002-6381-8833","contributorId":41793,"corporation":false,"usgs":true,"family":"Burton","given":"Carmen A.","affiliations":[],"preferred":false,"id":464866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464865,"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":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","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":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":464864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038743,"text":"ds684 - 2012 - A seamless, high-resolution digital elevation model (DEM) of the north-central California coast","interactions":[],"lastModifiedDate":"2015-01-06T16:32:07","indexId":"ds684","displayToPublicDate":"2012-06-19T00:00:00","publicationYear":"2012","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":"684","title":"A seamless, high-resolution digital elevation model (DEM) of the north-central California coast","docAbstract":"<p>A seamless, 2-meter resolution digital elevation model (DEM) of the north-central California coast has been created from the most recent high-resolution bathymetric and topographic datasets available. The DEM extends approximately 150 kilometers along the California coastline, from Half Moon Bay north to Bodega Head. Coverage extends inland to an elevation of +20 meters and offshore to at least the 3 nautical mile limit of state waters. 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