{"pageNumber":"636","pageRowStart":"15875","pageSize":"25","recordCount":46677,"records":[{"id":70037737,"text":"sir20115205 - 2012 - Comparison of index velocity measurements made with a horizontal acoustic Doppler current profiler","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115205","displayToPublicDate":"2012-03-12T00:00:00","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":"2011-5205","title":"Comparison of index velocity measurements made with a horizontal acoustic Doppler current profiler","docAbstract":"The State of Illinois' annual withdrawal from Lake Michigan is limited by a U.S. Supreme Court decree, and the U.S. Geological Survey (USGS) is responsible for monitoring flows in the Chicago Sanitary and Ship Canal (CSSC) near Lemont, Illinois as a part of the Lake Michigan Diversion Accounting overseen by the U.S. Army Corps of Engineers, Chicago District. Every 5 years, a technical review committee consisting of practicing engineers and academics is convened to review the U.S. Geological Survey's streamgage practices in the CSSC near Lemont, Illinois. The sixth technical review committee raised a number of questions concerning the flows and streamgage practices in the CSSC near Lemont and this report provides answers to many of those questions. In addition, it is the purpose of this report to examine the index velocity meters in use at Lemont and determine whether the acoustic velocity meter (AVM), which is now the primary index velocity meter, can be replaced by the horizontal acoustic Doppler current profiler (H-ADCP), which is currently the backup meter. Application of the AVM and H-ADCP to index velocity measurements in the CSSC near Lemont, Illinois, has produced good ratings to date. The site is well suited to index velocity measurements in spite of the large range of velocities and highly unsteady flows at the site. Flow variability arises from a range of sources: operation of the waterway through control structures, lockage-generated disturbances, commercial and recreational traffic, industrial withdrawals and discharges, natural inflows, seiches, and storm events. The influences of these factors on the index velocity measurements at Lemont is examined in detail in this report. Results of detailed data comparisons and flow analyses show that use of bank-mounted instrumentation such as the AVM and H-ADCP appears to be the best option for index velocity measurement in the CSSC near Lemont. Comparison of the rating curves for the AVM and H-ADCP demonstrates that the H-ADCP is a suitable replacement for the AVM as the primary index velocity meter in the CSSC near Lemont. A key component to Lake Michigan Diversion Accounting is the USGS gaging station on the CSSC near Lemont, Illinois. The importance of this gaging station in monitoring withdrawals from Lake Michigan has made it one of the most highly scrutinized gaging stations in the country. Any changes in streamgaging practices at this gaging station requires detailed analysis to ensure the change will not adversely affect the ability of the USGS to accurately monitor flows. This report provides a detailed analysis of the flow structure and index velocity measurements in the CSSC near Lemont, Illinois, to ensure that decisions regarding the future of this streamgage are made with the best possible understanding of the site and the characteristics of the flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115205","collaboration":"Prepared in cooperation with the Chicago District of the U.S. Army Corps of Engineers","usgsCitation":"Jackson, P., Johnson, K.K., and Duncker, J.J., 2012, Comparison of index velocity measurements made with a horizontal acoustic Doppler current profiler: U.S. Geological Survey Scientific Investigations Report 2011-5205, vii, 42 p., https://doi.org/10.3133/sir20115205.","productDescription":"vii, 42 p.","onlineOnly":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":246622,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5205/","linkFileType":{"id":5,"text":"html"}},{"id":246625,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5205.jpg"}],"scale":"100000","projection":"Albers Equal-Area Projection","country":"United States","state":"Illinois","county":"Cook County;Du Page County;Will County","city":"Chicago;Lemont","otherGeospatial":"Des Plaines River;Calumet Sag Channel;Calumet River;Chicago Sanitary And Ship Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,41.25111111111111 ], [ -88.25,42.25 ], [ -87.5,42.25 ], [ -87.5,41.25111111111111 ], [ -88.25,41.25111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f86ce4b0c8380cd4d0c2","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":462544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70009698,"text":"sir20125028 - 2012 - A water-budget model and estimates of groundwater recharge for Guam","interactions":[],"lastModifiedDate":"2022-04-15T19:33:16.218175","indexId":"sir20125028","displayToPublicDate":"2012-03-09T00:00:00","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":"2012-5028","title":"A water-budget model and estimates of groundwater recharge for Guam","docAbstract":"On Guam, demand for groundwater tripled from the early 1970s to 2010. The demand for groundwater is anticipated to further increase in the near future because of population growth and a proposed military relocation to Guam. Uncertainty regarding the availability of groundwater resources to support the increased demand has prompted an investigation of groundwater recharge on Guam using the most current data and accepted methods. For this investigation, a daily water-budget model was developed and used to estimate mean recharge for various land-cover and rainfall conditions. Recharge was also estimated for part of the island using the chloride mass-balance method. \r\nUsing the daily water-budget model, estimated mean annual recharge on Guam is 394.1 million gallons per day, which is 39 percent of mean annual rainfall (999.0 million gallons per day). Although minor in comparison to rainfall on the island, water inflows from water-main leakage, septic-system leachate, and stormwater runoff may be several times greater than rainfall at areas that receive these inflows. Recharge is highest in areas that are underlain by limestone, where recharge is typically between 40 and 60 percent of total water inflow. Recharge is relatively high in areas that receive stormwater runoff from storm-drain systems, but is relatively low in urbanized areas where stormwater runoff is routed to the ocean or to other areas. In most of the volcanic uplands in southern Guam where runoff is substantial, recharge is less than 30 percent of total water inflow. \r\nThe water-budget model in this study differs from all previous water-budget investigations on Guam by directly accounting for canopy evaporation in forested areas, quantifying the evapotranspiration rate of each land-cover type, and accounting for evaporation from impervious areas. For the northern groundwater subbasins defined in Camp, Dresser & McKee Inc. (1982), mean annual baseline recharge computed in this study is 159.1 million gallons per day, which is 50 percent of mean annual rainfall, and is 42 percent greater than the recharge estimate of Camp, Dresser & McKee Inc. (1982). For the northern aquifer sectors defined in Mink (1991), which encompass most of the northern half of the island, mean annual baseline recharge computed in this study is 238.0 million gallons per day, which is 51 percent of mean annual rainfall, and is about 6 percent lower than the recharge estimate of Mink (1991). For the drought simulation performed in this study, recharge for the entire island is 259.3 million gallons per day, which is 34 percent lower than recharge computed for baseline conditions. For all aquifer sectors defined by Mink (1991), total recharge during drought conditions is 32 percent lower than mean baseline recharge. For the future land-cover water-budget simulation, which represents potential land-cover changes owing to the military relocation and population growth, estimated recharge for the entire island is nearly equal to the baseline recharge estimate that was based on 2004 land cover. \r\nUsing the water-budget model, estimated recharge in the northern half of the island is most sensitive to crop coefficients and net precipitation rates—two of the water-budget parameters used in the estimation of total evapotranspiration. Estimated recharge in the southern half of the island is most sensitive to crop coefficients, net precipitation rate, and runoff-to-rainfall ratios. \r\nDuring March 2010 to May 2011, bulk-deposition samples from five rainfall stations on Guam were collected and analyzed for chloride. Additionally, samples from five groundwater sites were collected and analyzed for chloride. Results were used to estimate groundwater recharge using the chloride mass-balance method. Recharge estimates using this method at three bulk-deposition stations on the northern limestone plateau range from about 25 to 48 percent of rainfall. These recharge estimates are similar to the estimate of Ayers (1981) who also used this method. Recharge estimates at each bulk-deposition station, however, are lower than the baseline recharge estimate from the water-budget model used in this study. This may be because no large storms, such as tropical cyclones, passed near Guam during March 2010 to May 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125028","collaboration":"Prepared in cooperation with the United States Marine Corps","usgsCitation":"Johnson, A.G., 2012, A water-budget model and estimates of groundwater recharge for Guam: U.S. Geological Survey Scientific Investigations Report 2012-5028, vi, 53 p., https://doi.org/10.3133/sir20125028.","productDescription":"vi, 53 p.","onlineOnly":"Y","temporalStart":"2010-03-01","temporalEnd":"2011-05-31","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":204879,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5028.gif"},{"id":398862,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96552.htm"},{"id":204876,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5028/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","datum":"WGS84","country":"Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.61666666666667,13.233333333333333 ], [ 144.61666666666667,13.666666666666666 ], [ 144.96666666666667,13.666666666666666 ], [ 144.96666666666667,13.233333333333333 ], [ 144.61666666666667,13.233333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e615e4b0c8380cd47161","contributors":{"authors":[{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356871,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70009696,"text":"fs20123026 - 2012 - Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:20:42","indexId":"fs20123026","displayToPublicDate":"2012-03-09T00:00:00","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":"2012-3026","title":"Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas","docAbstract":"<p>Since December 2005, the U.S. Geological Survey, in cooperation with the City of Houston, Texas, has been assessing the quality of the water flowing into Lake Houston. Continuous in-stream water-quality monitors measured streamflow and other physical water quality properties at stations in Spring Creek near Spring, Tex., and East Fork San Jacinto River near New Caney, Tex. Additionally, discrete water-quality samples were periodically collected on these tributaries and analyzed for selected constituents of concern. Data from the discrete water-quality samples collected during 2005-9, in conjunction with the real-time streamflow data and data from the continuous in-stream water-quality monitors, provided the basis for developing regression equations for the estimation of concentrations of water-quality constituents of these source watersheds to Lake Houston. The output of the regression equations are available through the interactive National Real-Time Water Quality Web site (http://nrtwq.usgs.gov).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123026","usgsCitation":"Lee, M.T., 2012, Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas: U.S. Geological Survey Fact Sheet 2012-3026, 4 p., https://doi.org/10.3133/fs20123026.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-12-01","temporalEnd":"2009-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":204875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3026.gif"},{"id":204872,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3026/","linkFileType":{"id":5,"text":"html"}}],"scale":"602933","projection":"Universal Transverse Mercator","country":"United States","state":"Texas","city":"Houston, New Caney, Spring","otherGeospatial":"East Fork San Jacinto River, Lake Houston, Spring Creek,","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,30 ], [ -96,31 ], [ -95,31 ], [ -95,30 ], [ -96,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55b2e4b0c8380cd6d276","contributors":{"authors":[{"text":"Lee, Michael T. 0000-0002-8260-8794 mtlee@usgs.gov","orcid":"https://orcid.org/0000-0002-8260-8794","contributorId":4228,"corporation":false,"usgs":true,"family":"Lee","given":"Michael","email":"mtlee@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356869,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70009697,"text":"sir20115236 - 2012 - An analytical method for predicting postwildfire peak discharges","interactions":[],"lastModifiedDate":"2012-03-09T18:33:47","indexId":"sir20115236","displayToPublicDate":"2012-03-09T00:00:00","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":"2011-5236","title":"An analytical method for predicting postwildfire peak discharges","docAbstract":"An analytical method presented here that predicts postwildfire peak discharge was developed from analysis of paired rainfall and runoff measurements collected from selected burned basins. Data were collected from 19 mountainous basins burned by eight wildfires in different hydroclimatic regimes in the western United States (California, Colorado, Nevada, New Mexico, and South Dakota). Most of the data were collected for the year of the wildfire and for 3 to 4 years after the wildfire. These data provide some estimate of the changes with time of postwildfire peak discharges, which are known to be transient but have received little documentation. The only required inputs for the analytical method are the burned area and a quantitative measure of soil burn severity (change in the normalized burn ratio), which is derived from Landsat reflectance data and is available from either the U.S. Department of Agriculture Forest Service or the U.S. Geological Survey. The method predicts the postwildfire peak discharge per unit burned area for the year of a wildfire, the first year after a wildfire, and the second year after a wildfire. It can be used at three levels of information depending on the data available to the user; each subsequent level requires either more data or more processing of the data. Level 1 requires only the burned area. Level 2 requires the burned area and the basin average value of the change in the normalized burn ratio. Level 3 requires the burned area and the calculation of the hydraulic functional connectivity, which is a variable that incorporates the sequence of soil burn severity along hillslope flow paths within the burned basin.\r\nMeasurements indicate that the unit peak discharge response increases abruptly when the 30-minute maximum rainfall intensity is greater than about 5 millimeters per hour (0.2 inches per hour). This threshold may relate to a change in runoff generation from saturated-excess to infiltration-excess overland flow. The threshold value was about 7.6 millimeters per hour for the year of the wildfire and the first year after the wildfire, and it was about 11.1 millimeters per hour for the second year after the wildfire.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115236","usgsCitation":"Moody, J.A., 2012, An analytical method for predicting postwildfire peak discharges: U.S. Geological Survey Scientific Investigations Report 2011-5236, vii, 29 p.; Appendices, https://doi.org/10.3133/sir20115236.","productDescription":"vii, 29 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":204874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5236.png"},{"id":204873,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5236/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California;Colorado;Nevada;New Mexico;South Dakota","city":"Los Alamos;Boulder;Denver","otherGeospatial":"San Dimas;Galena;Bear Gulch;Buffalo Creek;Spring Creek;Cerro Grande;Bobcat Gulch;Jug Gulch;Fourmile Canyon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f8e4b0c8380cd48570","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":356870,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046254,"text":"70046254 - 2012 - Comparative risk assessment of the first-generation anticoagulant rodenticide diphacinone to raptors","interactions":[],"lastModifiedDate":"2018-08-06T12:45:42","indexId":"70046254","displayToPublicDate":"2012-03-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Comparative risk assessment of the first-generation anticoagulant rodenticide diphacinone to raptors","docAbstract":"<p>New regulatory restrictions have been placed on the use of some second-generation anticoagulant rodenticides in the United States, and in some situations this action may be offset by expanded use of first-generation compounds. We have recently conducted several studies with captive adult American kestrels and eastern screech-owls examining the toxicity of diphacinone (DPN) using both acute oral and short-term dietary exposure regimens. Diphacinone evoked overt signs of intoxication and lethality in these raptors at exposure doses that were 20 to 30 times lower than reported for traditionally used wildlife test species (mallard and northern bobwhite). Sublethal exposure of kestrels and owls resulted in prolonged clotting time, reduced hematocrit, and/or gross and histological evidence of hemorrhage at daily doses as low as 0.16 mg DPN/kg body weight. Findings also demonstrated that DPN was far more potent in short-term 7-day dietary studies than in single-day acute oral exposure studies. Incorporating these kestrel and owl data into deterministic and probabilistic risk assessments indicated that the risks associated with DPN exposure for raptors are far greater than predicted in analyses using data from mallards and bobwhite. These findings can assist natural resource managers in weighing the costs and benefits of anticoagulant rodenticide use in pest control and eradication programs.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 25th Vertebrate Pest Conference","conferenceTitle":"25th Vertebrate Pest Conference","conferenceDate":"March 5-8, 2012","conferenceLocation":"Monterey, California","language":"English","usgsCitation":"Rattner, B.A., Lazarus, R., Eisenreich, K.M., Horak, K., Volker, S.F., Campton, C.M., Eisemann, J.D., Meteyer, C.U., and Johnson, J.J., 2012, Comparative risk assessment of the first-generation anticoagulant rodenticide diphacinone to raptors, <i>in</i> Proceedings of the 25th Vertebrate Pest Conference, Monterey, California, March 5-8, 2012, 7 p.","productDescription":"7 p.","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037162","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":324315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576d082de4b07657d1a3754c","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":640585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Rebecca S.","contributorId":11864,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca S.","affiliations":[],"preferred":false,"id":640586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eisenreich, Karen M.","contributorId":52823,"corporation":false,"usgs":true,"family":"Eisenreich","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horak, Katherine E.","contributorId":58760,"corporation":false,"usgs":true,"family":"Horak","given":"Katherine E.","affiliations":[],"preferred":false,"id":640589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Volker, Steven F.","contributorId":19012,"corporation":false,"usgs":true,"family":"Volker","given":"Steven","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":640590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campton, Christopher M.","contributorId":69400,"corporation":false,"usgs":true,"family":"Campton","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eisemann, John D.","contributorId":37462,"corporation":false,"usgs":true,"family":"Eisemann","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":640592,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":111,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":640593,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, John J.","contributorId":172408,"corporation":false,"usgs":false,"family":"Johnson","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":640588,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70009666,"text":"ofr20111222 - 2012 - Sea-floor geology and sedimentary processes in the vicinity of Cross Rip Channel, Nantucket Sound, offshore southeastern Massachusetts","interactions":[],"lastModifiedDate":"2012-03-07T17:16:31","indexId":"ofr20111222","displayToPublicDate":"2012-03-07T09:46:00","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":"2011-1222","title":"Sea-floor geology and sedimentary processes in the vicinity of Cross Rip Channel, Nantucket Sound, offshore southeastern Massachusetts","docAbstract":"Gridded multibeam bathymetry covers approximately 10.4 square kilometers of sea floor in the vicinity of Cross Rip Channel in Nantucket Sound, offshore southeastern Massachusetts. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic survey H12007, these acoustic data, and the sea-floor sediment sampling and bottom photography stations subsequently occupied to verify them, show the composition and terrain of the seabed and provide information on sediment transport and benthic habitat. This report is part of an expanding series of cooperative studies by the U.S. Geological Survey, National Oceanic and Atmospheric Administration, and Massachusetts Office of Coastal Zone Management that provide a fundamental framework for research and resource-management activities (for example, windfarms, pipelines, and dredging) along the inner continental shelf offshore of Massachusetts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111222","usgsCitation":"Poppe, L., McMullen, K., Ackerman, S., Schaer, J., and Wright, D., 2012, Sea-floor geology and sedimentary processes in the vicinity of Cross Rip Channel, Nantucket Sound, offshore southeastern Massachusetts: U.S. Geological Survey Open-File Report 2011-1222, CD-ROM; Also available online, https://doi.org/10.3133/ofr20111222.","productDescription":"CD-ROM; Also available online","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":204853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1222.gif"},{"id":204851,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1222/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"Nantucket Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.29970946226284, 41.462343365069735], [-70.22339373810621, 41.45363549235282], [-70.228921743935, 41.44243431928992], [-70.23332613672329, 41.43954765644888], [-70.30072128222776, 41.44672959423898], [-70.304542127881, 41.45402676535224], [-70.30421606704812, 41.45524949347542], [-70.30172985319774, 41.45504570545482], [-70.30121727240653, 41.46118274805109], [-70.29970946226284, 41.462343365069735]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.304542127881, 41.43954765644888, -70.22339373810621, 41.462343365069735], \"type\": \"Feature\", \"id\": \"3091967\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8806e4b08c986b316793","contributors":{"authors":[{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":356840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":356839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, S.D.","contributorId":88843,"corporation":false,"usgs":true,"family":"Ackerman","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":356842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaer, J.D.","contributorId":31082,"corporation":false,"usgs":true,"family":"Schaer","given":"J.D.","affiliations":[],"preferred":false,"id":356838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, D.B.","contributorId":88754,"corporation":false,"usgs":true,"family":"Wright","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":356841,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70009665,"text":"ofr20111149 - 2012 - Sea-floor geology of Long Island Sound north of Duck Pond Point, New York","interactions":[],"lastModifiedDate":"2012-03-07T17:16:31","indexId":"ofr20111149","displayToPublicDate":"2012-03-07T09:26:00","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":"2011-1149","title":"Sea-floor geology of Long Island Sound north of Duck Pond Point, New York","docAbstract":"The U.S. Geological Survey, the National Oceanic and Atmospheric Administration (NOAA), and the Connecticut Department of Environmental Protection are mapping the sea floor in coastal areas of the northeastern United States. As part of the project, more than 100 square kilometers of multibeam-echosounder data, 23 sediment samples, bottom video, and 86 still photographs were obtained from an area in Long Island Sound north of Duck Pond Point, New York, in the study area of NOAA survey H11999. This report delineates the sediment types and sea-floor features found within this area in order to better understand the sea-floor processes occurring in this part of Long Island Sound. The sea floor in the study area is dominated by ubiquitous sand-wave fields and three northeast-southwest trending bathymetric depressions. Barchanoid and transverse sand waves, including sinusoidal, bifurcating, arced, and straight-crested morphologies, are variably present. Asymmetrical sand-wave profiles indicate a westward to southwestward direction of sediment transport in most of the study area; current ripples and megaripples on the stoss slopes of the sand waves indicate transport is ongoing. The majority of the sediment on the sea floor is sand, although bouldery, gravelly, and muddy sediments are also present. Gray, cohesive mud crops out on the walls of some of the scour depressions associated with the troughs of large sand waves. Clasts of the muddy sediment scattered on the sea floor around the depressions demonstrate the intensity of the scour and suggest erosion of the underlying distal deltaic sediments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111149","usgsCitation":"McMullen, K., Poppe, L., Danforth, W.W., Blackwood, D., Schaer, J., Glomb, K., and Doran, E.F., 2012, Sea-floor geology of Long Island Sound north of Duck Pond Point, New York: U.S. Geological Survey Open-File Report 2011-1149, DVD-ROM; Also available online, https://doi.org/10.3133/ofr20111149.","productDescription":"DVD-ROM; Also available online","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":204854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1149.gif"},{"id":204850,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1149/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.65078296462872, 41.15310227027316], [-72.40232223501584, 41.15078606779228], [-72.40441172327905, 41.149716946297524], [-72.4037396045544, 41.142431597219726], [-72.400680139918, 41.14015587525237], [-72.40411919492215, 41.13760836181205], [-72.40188692496099, 41.132311509064834], [-72.40378487680005, 41.128895195754396], [-72.40330777697989, 41.110093283865794], [-72.40139241273863, 41.109135601745194], [-72.40288291436644, 41.106454091807414], [-72.46534946479045, 41.10568246548574], [-72.65018268497765, 41.10621311557889], [-72.65030514269142, 41.11750891196602], [-72.65748337621403, 41.11861945578277], [-72.65065113279599, 41.118817491824025], [-72.65312658330981, 41.12699638032133], [-72.65067734597136, 41.12888014560358], [-72.65040431612198, 41.132234999879174], [-72.65232235081471, 41.13232714745338], [-72.65078296462872, 41.15310227027316]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.65748337621403, 41.10568246548574, -72.400680139918, 41.15310227027316], \"type\": \"Feature\", \"id\": \"3091948\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8808e4b08c986b3167a0","contributors":{"authors":[{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":356834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":356836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, W. W.","contributorId":16386,"corporation":false,"usgs":true,"family":"Danforth","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":356831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, D.S.","contributorId":98747,"corporation":false,"usgs":true,"family":"Blackwood","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":356837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaer, J.D.","contributorId":31082,"corporation":false,"usgs":true,"family":"Schaer","given":"J.D.","affiliations":[],"preferred":false,"id":356833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glomb, K.A.","contributorId":67996,"corporation":false,"usgs":true,"family":"Glomb","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":356835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doran, E. F.","contributorId":31066,"corporation":false,"usgs":true,"family":"Doran","given":"E.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":356832,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70182710,"text":"70182710 - 2012 - Effectiveness of seining after electrofishing to characterize stream fish communities","interactions":[],"lastModifiedDate":"2017-02-27T11:57:27","indexId":"70182710","displayToPublicDate":"2012-03-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of seining after electrofishing to characterize stream fish communities","docAbstract":"<p><span>The richness and composition of species collected uniquely to electrofishing and subsequent seining efforts were examined at 271 stream sites across the USA by using wadeable electrofishing methods (backpack or barge electrofishing) or boat electrofishing followed by seining. Seining after wadeable electrofishing resulted in the collection of new species at 42% of sites, whereas seining after boat electrofishing resulted in the collection of new species at 87% of sites. Mean percentage of total observed fish species richness that was collected uniquely by seining was 6% (representing one new species, on average) after wadeable electrofishing compared with 18% (four new species, on average) after boat electrofishing. Shannon–Wiener diversity index values were not significantly different between data from combined sampling (electrofishing and seining) and data from wadeable electrofishing (</span><i>P</i><span> = 0.490) but were significantly different between boat electrofishing and combined sampling (</span><i>P</i><span> = 0.004). Seining efforts after boat electrofishing can provide critical information that allows for a more complete characterization of the fish community. For sampling in wadeable streams, decisions regarding the use of seines should consider the effectiveness of electrofishing at a given site and the use of seines as an alternative primary sampling gear rather than as a supplement to electrofishing.</span></p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/02755947.2012.663458","usgsCitation":"Meador, M., 2012, Effectiveness of seining after electrofishing to characterize stream fish communities: North American Journal of Fisheries Management, v. 32, no. 1, p. 177-185, https://doi.org/10.1080/02755947.2012.663458.","productDescription":"9 p.","startPage":"177","endPage":"185","ipdsId":"IP-028404","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":336249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70173590,"text":"70173590 - 2012 - Fish species of greatest conservation need in wadeable Iowa streams: current status and effectiveness of Aquatic Gap Program distribution models","interactions":[],"lastModifiedDate":"2016-06-07T16:20:04","indexId":"70173590","displayToPublicDate":"2012-03-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Fish species of greatest conservation need in wadeable Iowa streams: current status and effectiveness of Aquatic Gap Program distribution models","docAbstract":"<p><span>Effective conservation of fish species of greatest conservation need (SGCN) requires an understanding of species&ndash;habitat relationships and distributional trends. Thus, modeling the distribution of fish species across large spatial scales may be a valuable tool for conservation planning. Our goals were to evaluate the status of 10 fish SGCN in wadeable Iowa streams and to test the effectiveness of Iowa Aquatic Gap Analysis Project (IAGAP) species distribution models. We sampled fish assemblages from 86 wadeable stream segments in the Mississippi River drainage of Iowa during 2009 and 2010 to provide contemporary, independent fish species presence&ndash;absence data. The frequencies of occurrence in stream segments where species were historically documented varied from 0.0% for redfin shiner&nbsp;</span><i>Lythrurus umbratilis</i><span>&nbsp;to 100.0% for American brook lamprey</span><i>Lampetra appendix</i><span>, with a mean of 53.0%, suggesting that the status of Iowa fish SGCN is highly variable. Cohen's kappa values and other model performance measures were calculated by comparing field-collected presence&ndash;absence data with IAGAP model&ndash;predicted presences and absences for 12 fish SGCN. Kappa values varied from 0.00 to 0.50, with a mean of 0.15. The models only predicted the occurrences of banded darter</span><i>Etheostoma zonale</i><span>, southern redbelly dace&nbsp;</span><i>Phoxinus erythrogaster</i><span>, and longnose dace</span><i>Rhinichthys cataractae</i><span>&nbsp;more accurately than would be expected by chance. Overall, the accuracy of the twelve models was low, with a mean correct classification rate of 58.3%. Poor model performance probably reflects the difficulties associated with modeling the distribution of rare species and the inability of the large-scale habitat variables used in IAGAP models to explain the variation in fish species occurrences. Our results highlight the importance of quantifying the confidence in species distribution model predictions with an independent data set and the need for long-term monitoring to better understand the distributional trends and habitat associations of fish SGCN.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2012.663456","usgsCitation":"Sindt, A.R., Pierce, C., and Quist, M., 2012, Fish species of greatest conservation need in wadeable Iowa streams: current status and effectiveness of Aquatic Gap Program distribution models: North American Journal of Fisheries Management, v. 32, no. 1, p. 135-146, https://doi.org/10.1080/02755947.2012.663456.","productDescription":"12 p.","startPage":"135","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028651","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474552,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1100&context=nrem_pubs","text":"External Repository"},{"id":323228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.54833984375,\n              43.50075243569041\n            ],\n            [\n              -94.779052734375,\n              42.78733853172001\n            ],\n            [\n              -95.00976562499999,\n              42.05745022024682\n            ],\n            [\n              -94.537353515625,\n              41.4509614012039\n            ],\n            [\n              -93.284912109375,\n              40.93841495689795\n            ],\n   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]\n}","volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-03-06","publicationStatus":"PW","scienceBaseUri":"5757f035e4b04f417c24da83","contributors":{"authors":[{"text":"Sindt, Anthony R.","contributorId":171503,"corporation":false,"usgs":false,"family":"Sindt","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":637759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":166707,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","email":"mquist@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637760,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007274,"text":"70007274 - 2012 - Cross-borehole flow analysis to characterize fracture connections in the Melechov Granite, Bohemian-Moravian Highland, Czech Republic","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"70007274","displayToPublicDate":"2012-03-05T15:54:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Cross-borehole flow analysis to characterize fracture connections in the Melechov Granite, Bohemian-Moravian Highland, Czech Republic","docAbstract":"Application of the cross-borehole flow method, in which short pumping cycles in one borehole are used to induce time-transient flow in another borehole, demonstrated that a simple hydraulic model can characterize the fracture connections in the bedrock mass between the two boreholes. The analysis determines the properties of fracture connections rather than those of individual fractures intersecting a single borehole; the model contains a limited number of adjustable parameters so that any correlation between measured and simulated flow test data is significant. The test was conducted in two 200-m deep boreholes spaced 21 m apart in the Melechov Granite in the Bohemian-Moravian Highland, Czech Republic. Transient flow was measured at depth stations between the identified transmissive fractures in one of the boreholes during short-term pumping and recovery periods in the other borehole. Simulated flows, based on simple model geometries, closely matched the measured flows. The relative transmissivity and storage of the inferred fracture connections were corroborated by tracer testing. The results demonstrate that it is possible to assess the properties of a fracture flow network despite being restricted to making measurements in boreholes in which a local population of discrete fractures regulates the hydraulic communication with the larger-scale aquifer system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10040-011-0787-1","usgsCitation":"Paillet, F.L., Williams, J., Urik, J., Lukes, J., Kobr, M., and Mares, S., 2012, Cross-borehole flow analysis to characterize fracture connections in the Melechov Granite, Bohemian-Moravian Highland, Czech Republic: Hydrogeology Journal, v. 20, no. 1, p. 143-154, https://doi.org/10.1007/s10040-011-0787-1.","productDescription":"12 p.","startPage":"143","endPage":"154","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":204829,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204823,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s10040-011-0787-1","linkFileType":{"id":5,"text":"html"}}],"country":"Czech Republic","otherGeospatial":"Bohemian-moravian Highland","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-10-02","publicationStatus":"PW","scienceBaseUri":"5059fcc0e4b0c8380cd4e3f3","contributors":{"authors":[{"text":"Paillet, Frederick L.","contributorId":38191,"corporation":false,"usgs":true,"family":"Paillet","given":"Frederick","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Urik, Joseph","contributorId":89664,"corporation":false,"usgs":true,"family":"Urik","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":356215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukes, Joseph","contributorId":8618,"corporation":false,"usgs":true,"family":"Lukes","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":356211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kobr, Miroslav","contributorId":56376,"corporation":false,"usgs":true,"family":"Kobr","given":"Miroslav","email":"","affiliations":[],"preferred":false,"id":356214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mares, Stanislav","contributorId":28371,"corporation":false,"usgs":true,"family":"Mares","given":"Stanislav","email":"","affiliations":[],"preferred":false,"id":356212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70009624,"text":"70009624 - 2012 - On thinning of chains in MCMC","interactions":[],"lastModifiedDate":"2012-03-07T17:16:31","indexId":"70009624","displayToPublicDate":"2012-03-05T12:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"On thinning of chains in MCMC","docAbstract":"<p><b>1.</b> Markov chain Monte Carlo (MCMC) is a simulation technique that has revolutionised the analysis of ecological data, allowing the fitting of complex models in a Bayesian framework. Since 2001, there have been nearly 200 papers using MCMC in publications of the Ecological Society of America and the British Ecological Society, including more than 75 in the journal <i>Ecology</i> and 35 in the <i>Journal of Applied Ecology</i>.</p>\n<p><b>2.</b> We have noted that many authors routinely 'thin' their simulations, discarding all but every <i>k</i>th sampled value; of the studies we surveyed with details on MCMC implementation, 40% reported thinning.</p>\n<p><b>3.</b> Thinning is often unnecessary and always inefficient, reducing the precision with which features of the Markov chain are summarised. The inefficiency of thinning MCMC output has been known since the early 1990's, long before MCMC appeared in ecological publications.</p>\n<p><b>4.</b> We discuss the background and prevalence of thinning, illustrate its consequences, discuss circumstances when it might be regarded as a reasonable option and recommend against routine thinning of chains unless necessitated by computer memory limitations.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","publisherLocation":"London, England","doi":"10.1111/j.2041-210X.2011.00131.x","usgsCitation":"Link, W., and Eaton, M., 2012, On thinning of chains in MCMC: Methods in Ecology and Evolution, v. 3, no. 1, p. 112-115, https://doi.org/10.1111/j.2041-210X.2011.00131.x.","productDescription":"4 p.","startPage":"112","endPage":"115","numberOfPages":"4","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474553,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2011.00131.x","text":"Publisher Index Page"},{"id":204814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204809,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2011.00131.x","linkFileType":{"id":5,"text":"html"}}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-06-17","publicationStatus":"PW","scienceBaseUri":"505a6e15e4b0c8380cd7549e","contributors":{"authors":[{"text":"Link, William A. wlink@usgs.gov","contributorId":3465,"corporation":false,"usgs":true,"family":"Link","given":"William A.","email":"wlink@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":356757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J.","contributorId":71308,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[],"preferred":false,"id":356758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037755,"text":"ofr20121040 - 2012 - Coastal circulation and potential coral-larval dispersal in Maunalua Bay, O'ahu, Hawaii&mdash;Measurements of waves, currents, temperature, and salinity, June-September 2010","interactions":[],"lastModifiedDate":"2020-09-27T17:40:16.603517","indexId":"ofr20121040","displayToPublicDate":"2012-03-05T10:38:00","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":"2012-1040","title":"Coastal circulation and potential coral-larval dispersal in Maunalua Bay, O'ahu, Hawaii&mdash;Measurements of waves, currents, temperature, and salinity, June-September 2010","docAbstract":"This report presents a summary of fieldwork conducted in Maunalua Bay, O'ahu, Hawaii to address coral-larval dispersal and recruitment from June through September, 2010. The objectives of this study were to understand the temporal and spatial variations in currents, waves, tides, temperature, and salinity in Maunalua Bay during the summer coral-spawning season of Montipora capitata. Short-term vessel surveys and satellite-tracked drifters were deployed to measure currents during the June 2010 spawning event and to supplement the longer-term measurements of currents and water-column properties by fixed, bottom-mounted instruments deployed in Maunalua Bay. These data show that currents at the surface and just below the surface where coral larvae are found are often oriented in opposite directions due primarily to tidal and trade-winds forcing as the primary mechanisms of circulation in the bay. These data extend our understanding of coral-larvae dispersal patterns due to tidal and wind-driven currents and may be applicable to larvae of other Hawaiian corals.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121040","usgsCitation":"Presto, M., Storlazzi, C., Logan, J., Reiss, T.E., and Rosenberger, K., 2012, Coastal circulation and potential coral-larval dispersal in Maunalua Bay, O'ahu, Hawaii&mdash;Measurements of waves, currents, temperature, and salinity, June-September 2010: U.S. Geological Survey Open-File Report 2012-1040, iv, 32 p., https://doi.org/10.3133/ofr20121040.","productDescription":"iv, 32 p.","onlineOnly":"Y","temporalStart":"2010-06-01","temporalEnd":"2010-09-30","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":246636,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1040.gif"},{"id":246630,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1040/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawaii","otherGeospatial":"O'ahu, Maunalua Bay, Koko Head, Diamond Head, Ko'olau Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.8900146484375,\n              21.238182425982313\n            ],\n            [\n              -157.62908935546875,\n              21.238182425982313\n            ],\n            [\n              -157.62908935546875,\n              21.332873489271286\n            ],\n            [\n              -157.8900146484375,\n              21.332873489271286\n            ],\n            [\n              -157.8900146484375,\n              21.238182425982313\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f77ce4b0c8380cd4cb40","contributors":{"authors":[{"text":"Presto, M. Katherine","contributorId":30192,"corporation":false,"usgs":true,"family":"Presto","given":"M. Katherine","affiliations":[],"preferred":false,"id":462603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":462605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":462604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reiss, Thomas E. 0000-0003-0388-7076 treiss@usgs.gov","orcid":"https://orcid.org/0000-0003-0388-7076","contributorId":4149,"corporation":false,"usgs":true,"family":"Reiss","given":"Thomas","email":"treiss@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":462601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberger, Kurt J.","contributorId":12934,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt J.","affiliations":[],"preferred":false,"id":462602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70009638,"text":"sir20115233 - 2012 - Water-quality characteristics of Michigan's inland lakes, 2001-10","interactions":[],"lastModifiedDate":"2016-09-22T16:05:42","indexId":"sir20115233","displayToPublicDate":"2012-03-05T09:59:00","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":"2011-5233","title":"Water-quality characteristics of Michigan's inland lakes, 2001-10","docAbstract":"<p>The U.S. Geological Survey and the Michigan Department of Environmental Quality (MDEQ) jointly monitored for selected water-quality constituents and properties of inland lakes during 2001&ndash;10 as part of Michigan's Lake Water-Quality Assessment program. During 2001&ndash;10, 866 lake basins from 729 inland lakes greater than 25 acres were monitored for baseline water-quality conditions and trophic status. This report summarizes the water-quality characteristics and trophic conditions of the monitored lakes throughout the State; the data include vertical-profile measurements, nutrient measurements at three discrete depths, Secchi-disk transparency (SDT) measurements, and chlorophyll <i>a</i> measurements for the spring and summer, with major ions and other chemical indicators measured during the spring at mid-depth and color during the summer from near-surface samples.</p>\r\n<p>In about 75 percent of inland lake deep basins (index stations), trophic characteristics were associated with oligotrophic or mesotrophic conditions; 5 percent or less were categorized as hypereutrophic, and 80 percent of hypereutrophic lakes had a maximum depth of 30 feet or less. Comparison of spring and summer measurements shows that water clarity based on SDT measurements were clearer in the spring than in the summer for 63 percent of lakes. For near-surface measurements made in spring, 97 percent of lakes can be considered phosphorus limited and less than half a percent nitrogen limited; for summer measurements, 96 percent of lakes can be considered phosphorus limited and less than half a percent nitrogen limited. Spatial patterns of major ions, alkalinity, and hardness measured in the spring at mid-depth all showed lower values in the Upper Peninsula of Michigan and a southward increase toward the southern areas of the Lower Peninsula, though the location of increase varied by constituent. A spatial analysis of the data based on U.S. Environmental Protection Agency Level III Ecoregions separated potassium, sulfate, and chloride concentrations fairly well, with a pattern of lower values in northern ecoregions trending toward higher values in southern ecoregions; lower and higher concentrations of magnesium, hardness, calcium, and alkalinity were well separated, but middle-range concentrations in central Michigan ecoregions were mixed. The highest concentrations of chloride and sodium were in the southeastern area of the Lower Peninsula.</p>\r\n<p>Lakes with multiple basins showed few statistically significant differences in constituent concentrations at the 95-percent confidence level among combinations of depths between basins. The most statistically significant differences were found for water temperature, with significant differences in somewhat less than half the combinations in the spring and just a few combinations in the summer. The lack of significant differences between major basins of multibasin lakes indicates that monitoring of trophic characteristics in all major basins might not be necessary for the majority of constituents in future sampling programs.</p>\r\n<p>Trophic characteristics based on the 2001&ndash;10 dataset were compared to trophic characteristics resulting from other Michigan sampling programs, including the volunteer Cooperative Lakes Monitoring Program coordinated by the MDEQ (measurements on 250 lakes in 2011), trophic-state predictions produced by relating existing measurements to remotely sensed data (measurements for about 3,000 lakes), and the National Lakes Assessment (NLA) statistically valid, probability-designed lakes program (measurements for 50 lakes in Michigan and about 1,100 lakes nationally). A higher percentage of oligotrophic lakes resulted when using SDT from the volunteer data and the 2001&ndash;10 dataset than when using the predicted measurements from remotely sensed data or the NLA. Comparing trophic characteristics from differently designed programs provides multiple interpretations of lake water-quality status in Michigan lakes.</p>\r\n<p>No directional statistically significant difference was found at the 95-percent confidence level among historical nutrients and trophic characteristics when comparing 445 lakes with historical data for 1974&ndash;84 with the 2001&ndash;10 dataset, though SDT did show statistically significant differences at the 95-percent confidence level. Depending on the primary indicator, 50&ndash;66 percent of lakes did not change trophic-status class, 13&ndash;23 percent moved towards the oligotrophic end of the TSI scale, and 20&ndash;25 percent moved a class towards the eutrophic end of the TSI scale.</p>\r\n<p>Increasing percentages of urban-dominant land cover in the drainage areas of lakes had a more positive correlation with chloride concentration than did increased percentages of other land-cover classes; there was also a slight correlation of urban-dominant land cover and calcium concentration. Removing data for lakes in southeastern Lower Michigan, known from previous reports to be higher in chloride, still resulted in a positive relation even though the coefficient of determination (R<sup>2</sup> value) decreased from 0.55 to 0.39. Dominant land-cover drainage areas were not strongly related to nutrients with respect to a linear relation, nor were lake drainage-area sizes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115233","collaboration":"Prepared in cooperation with the Michigan Department of Natural Resources and Environment","usgsCitation":"Fuller, L.M., and Taricska, C., 2012, Water-quality characteristics of Michigan's inland lakes, 2001-10: U.S. Geological Survey Scientific Investigations Report 2011-5233, Report: viii, 53 p.; Appendix, https://doi.org/10.3133/sir20115233.","productDescription":"Report: viii, 53 p.; Appendix","additionalOnlineFiles":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":204806,"rank":100,"type":{"id":15,"text":"Index 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M.","contributorId":97987,"corporation":false,"usgs":true,"family":"Fuller","given":"L.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taricska, C.K.","contributorId":79225,"corporation":false,"usgs":true,"family":"Taricska","given":"C.K.","email":"","affiliations":[],"preferred":false,"id":356798,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70009636,"text":"sir20125022 - 2012 - Quality of water in the White River and Lake Tapps, Pierce County, Washington, May-December 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20125022","displayToPublicDate":"2012-03-05T09:10:00","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":"2012-5022","title":"Quality of water in the White River and Lake Tapps, Pierce County, Washington, May-December 2010","docAbstract":"<p>The White River and Lake Tapps are part of a hydropower system completed in 1911&ndash;12. The system begins with a diversion dam on the White River that routes a portion of White River water into the southeastern end of Lake Tapps, which functioned as a storage reservoir for power generation. The stored water passed through the hydroelectric facilities at the northwestern end of the lake and returned to the White River through the powerhouse tailrace. Power generation ceased in January 2004, which altered the hydrology of the system by reducing volumes of water diverted out of the river, stored, and released through the powerhouse. This study conducted from May to December 2010 created a set of baseline data collected under a new flow regime for selected reaches of the White River, the White River Canal (Inflow), Lake Tapps Diversion (Tailrace) at the powerhouse, and Lake Tapps.</p>\n<p>Three sites, one on the White River at Headworks, one on the White River at R Street, and one on the Tailrace, were equipped for continuous recording of water-quality data, and three sites (Headworks, White River Canal Inflow, and Tailrace) were sampled for discrete water-quality data. Nine lake sites were measured for physical and water-quality properties and samples were collected for analyses of nutrients, suspended solids, and fecal-coliform bacteria concentrations. Samples from the lake also were analyzed for concentrations of chlorophyll a and organic chemicals.</p>\n<p>Discrete samples indicated that water from the White River, White River Canal Inflow, and Tailrace sites generally was turbid, warm, chemically dilute, and well-oxygenated. Exceptions occurred at the sites when flow to the White River Canal was suspended or when little or no flow was released from the lake into the Tailrace. The quality of physical properties and concentrations in water measured continuously at the three sites generally was good and met the freshwater criteria designated by Washington State Department of Ecology for recreational and aquatic-life uses, with several exceptions. The 7-day average of daily maximum temperatures (7&ndash;DADMax) was greater than the freshwater aquatic life criterion of 16 degrees Celsius (&deg;C) for core summer salmonid habitat on 6 days at the Headworks site and 37 days at the R-Street site during the study. The 7-DADMax temperatures were greater than the 13&deg;C criterion for spawning, rearing, and incubation on 6 days at the Headworks site and 20 days at the R-Street site. The freshwater aquatic life criterion for dissolved oxygen of 9.5 milligrams per liter (mg/L) for core summer salmonid habitat was not met at the Headworks and R-Street sites for periods during July and August 2010. Exceptions also occurred at the Headworks site for measurements of pH, which were greater than the aquatic life upper limit of 8.5 pH units during July 2010. Aquatic life pH criteria were not met at the Tailrace site during June, July, and August 2010, when pH was greater than 8.5 pH units, and during August 2010 when pH decreased to less than 6.5 pH units.</p>\n<p>Lake Tapps water near the surface was relatively clear, warm, and well oxygenated. The clearest water of the nine lake sites was at the Deep site with a median Secchi disk transparency measurement of 6.05 m (meters), which represents a two- to six-fold increase over historical measurements of transparency at this location. Median water temperatures were 18.2&ndash;18.9&deg;C and maximums were from 22.9&ndash;25.0&deg;C. Median dissolved oxygen concentrations were greater than 8.42 mg/L and minimums generally were not lower than 7.4 mg/L.</p>\n<p>By early July 2010, weak thermal stratification developed at most lake sites into at least a warm surface layer overlying a small thermocline. A well-defined hypolimnion developed below the thermocline only at the Deep site. With the development of thermal stratification, hypolimnion water became anoxic at several sites (Deep, Tapps Island, Snag Island, and Lake Outlet). By late September 2010, an anoxic layer about 15 m thick had formed in the hypolimnion of the Deep site. Mixing during autumn overturn in late November re-oxygenated the water column of all the sites with about 10&ndash;12 mg/L of dissolved oxygen.</p>\n<p>On the basis of pH and specific conductance measurements, Lake Tapps water is pH neutral and chemically dilute. Median pH values for water in the epilimnion and the hypolimnion ranged from 6.84 to 7.64 pH units and maximums did not exceed 7.8 pH units at any site. Median specific conductance was typically less than 70 microsiemens per centimeter at 25&deg;C for the epilimnion and the hypolimnion.</p>\n<p>Concentrations of nutrients and chlorophyll a in Lake Tapps were low. At most of the sites and in most of the samples from the epilimnion, total phosphorus concentrations were less than the Washington State Department of Ecology phosphorus criterion of 0.01 mg/L for maintaining oligotrophic conditions. Median concentrations of total nitrogen (unfiltered water) ranged from about 0.14 mg/L (Deep, Tapps Island, and Dike 2B sites) to about 0.18 mg/L (Allan Yorke and Lake Inlet sites). Chlorophyll <i>a</i> concentrations were low with median concentrations of 2.16 micrograms per liter (mg/L) or less. The majority of chlorophyll <i>a</i> concentrations were well below the Oregon Department of Environmental Quality action level of 10 mg/L.</p>\n<p>Using the Carlson Trophic-Status Index and average measures of transparency, chlorophyll <i>a</i>, and total phosphorus data from this study, Lake Tapps generally fits within the oligotrophic classification, but with a few exceptions. At Allan Yorke, Lake Inlet, and Southeast Arm sites, the chlorophyll <i>a</i> and total phosphorus indexes of nearly 40 approach the upper limit of oligotrophic conditions. In addition, average concentrations of total phosphorus at Lake Inlet and Southeast Arm are at N&#252;rnberg's (1996) threshold concentration of 0.01 mg/L, which suggests a slight tendency towards mesotrophic conditions at these two sites during summer July&ndash;September.</p>\n<p>On the basis of epilimnetic nitrogen to phosphorus concentration ratios of greater than 17, Lake Tapps primary production is phosphorus limited at all but two study sites. At the Lake Inlet and Southeast Arm sites, ratios of 15 and 16, respectively, for the summer period suggest either nitrogen or phosphorus (or both) may limit algal growth.</p>\n<p>Water samples collected at the Allan Yorke, Snag Island, and Lake Outlet study sites were screened for the presence of more than 250 organic chemicals. A total of 14 compounds were detected in trace amounts (or determined to be present) at one or more of the 3 sites. The Allan Yorke site had 9 detections, the Snag Island site had 10 detections, and the Lake Outlet site had 5 detections of compounds mostly belonging to the group of wastewater indicator chemicals. Compounds detected (or with verified presence) at all three sites included the herbicide 2,4-D, the insecticide and mosquito repellant DEET, the herbicide fluridone used for Eurasian watermilfoil eradication, and the herbicide prometon. The largest concentrations of these compounds were in samples from the Allan Yorke site; the lowest concentrations were from the Lake Outlet site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125022","collaboration":"Prepared in cooperation with Cascade Water Alliance","usgsCitation":"Embrey, S., Wagner, R.J., Huffman, R., Vanderpool-Kimura, A., and Foreman, J., 2012, Quality of water in the White River and Lake Tapps, Pierce County, Washington, May-December 2010: U.S. Geological Survey Scientific Investigations Report 2012-5022, viii, 60 p.; Appendices, https://doi.org/10.3133/sir20125022.","productDescription":"viii, 60 p.; Appendices","numberOfPages":"118","temporalStart":"2010-05-01","temporalEnd":"2010-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":204805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5022.jpg"},{"id":204802,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5022/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","county":"Pierce","otherGeospatial":"White River;Lake Tapps","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a916de4b0c8380cd80281","contributors":{"authors":[{"text":"Embrey, S.S.","contributorId":8448,"corporation":false,"usgs":true,"family":"Embrey","given":"S.S.","affiliations":[],"preferred":false,"id":356792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, R. J.","contributorId":37318,"corporation":false,"usgs":true,"family":"Wagner","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huffman, R.L.","contributorId":44956,"corporation":false,"usgs":true,"family":"Huffman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":356795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderpool-Kimura, A. M.","contributorId":95197,"corporation":false,"usgs":true,"family":"Vanderpool-Kimura","given":"A. M.","affiliations":[],"preferred":false,"id":356796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, J.R.","contributorId":15344,"corporation":false,"usgs":true,"family":"Foreman","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":356793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70009631,"text":"70009631 - 2012 - Ensemble forecasting of potential habitat for three invasive fishes","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"70009631","displayToPublicDate":"2012-03-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble forecasting of potential habitat for three invasive fishes","docAbstract":"Aquatic invasive species pose major ecological and economic threats to aquatic ecosystems worldwide via displacement, predation, or hybridization with native species and the alteration of aquatic habitats and hydrologic cycles. Modeling the habitat suitability of alien aquatic species through spatially explicit mapping is an increasingly important risk assessment tool. Habitat modeling also facilitates identification of key environmental variables influencing invasive species distributions. We compared four modeling methods to predict the potential continental United States distributions of northern snakehead Channa argus (Cantor, 1842), round goby Neogobius melanostomus (Pallas, 1814), and silver carp Hypophthalmichthys molitrix (Valenciennes, 1844) using maximum entropy (Maxent), the genetic algorithm for rule set production (GARP), DOMAIN, and support vector machines (SVM). We used inventory records from the USGS Nonindigenous Aquatic Species Database and a geographic information system of 20 climatic and environmental variables to generate individual and ensemble distribution maps for each species. The ensemble maps from our study performed as well as or better than all of the individual models except Maxent. The ensemble and Maxent models produced significantly higher accuracy individual maps than GARP, one-class SVMs, or DOMAIN. The key environmental predictor variables in the individual models were consistent with the tolerances of each species. Results from this study provide insights into which locations and environmental conditions may promote the future spread of invasive fish in the US.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Helsinki, Finland","usgsCitation":"Poulos, H.M., Chernoff, B., Fuller, P., and Butman, D., 2012, Ensemble forecasting of potential habitat for three invasive fishes: Aquatic Invasions, v. 7, no. 1, p. 59-72.","productDescription":"14 p.","startPage":"59","endPage":"72","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":204800,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":204797,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.aquaticinvasions.net/2012/AI_2012_1_Poulos_etal.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","volume":"7","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a097de4b0c8380cd51f3a","contributors":{"authors":[{"text":"Poulos, Helen M.","contributorId":75271,"corporation":false,"usgs":true,"family":"Poulos","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chernoff, Barry","contributorId":25701,"corporation":false,"usgs":true,"family":"Chernoff","given":"Barry","email":"","affiliations":[],"preferred":false,"id":356772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Pam L. 0000-0002-9389-9144","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":91226,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":356775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":51011,"corporation":false,"usgs":true,"family":"Butman","given":"David","affiliations":[],"preferred":false,"id":356773,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70009618,"text":"sir20125002 - 2012 - Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon","interactions":[],"lastModifiedDate":"2023-06-22T16:23:22.162624","indexId":"sir20125002","displayToPublicDate":"2012-03-02T00:00:00","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":"2012-5002","title":"Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon","docAbstract":"The Mosier area lies along the Columbia River in northwestern Wasco County between the cities of Hood River and The Dalles, Oregon. Major water uses in the area are irrigation, municipal supply for the city of Mosier, and domestic supply for rural residents. The primary source of water is groundwater from the Columbia River Basalt Group (CRBG) aquifers that underlie the area. Concerns regarding this supply of water arose in the mid-1970s, when groundwater levels in the orchard tract area began to steadily decline. In the 1980s, the Oregon Water Resources Department (OWRD) conducted a study of the aquifer system, which resulted in delineation of an administrative area where parts of the Pomona and Priest Rapids aquifers were withdrawn from further appropriations for any use other than domestic supply. Despite this action, water levels continued to drop at approximately the same, nearly constant annual rate of about 4 feet per year, resulting in a current total decline of between 150 and 200 feet in many wells with continued downward trends. In 2005, the Mosier Watershed Council and the Wasco Soil and Water Conservation District began a cooperative investigation of the groundwater system with the U.S. Geological Survey. The objectives of the study were to advance the scientific understanding of the hydrology of the basin, to assess the sustainability of the water supply, to evaluate the causes of persistent groundwater-level declines, and to evaluate potential management strategies. An additional U.S. Geological Survey objective was to advance the understanding of CRBG aquifers, which are the primary source of water across a large part of Oregon, Washington, and Idaho. In many areas, significant groundwater level declines have resulted as these aquifers were heavily developed for agricultural, municipal, and domestic water supplies. Three major factors were identified as possible contributors to the water-level declines in the study area: (1) pumping at rates that are not sustainable, (2) well construction practices that have resulted in leakage from aquifers into springs and streams, and (3) reduction in aquifer recharge resulting from long-term climate variations. Historical well construction practices, specifically open, unlined, uncased boreholes that result in cross-connecting (or commingling) multiple aquifers, allow water to flow between these aquifers. Water flowing along the path of least resistance, through commingled boreholes, allows the drainage of aquifers that previously stored water more efficiently. The study area is in the eastern foothills of the Cascade Range in north central Oregon in a transitional zone between the High Cascades to the west and the Columbia Plateau to the east. The 78-square mile (mi<sup>2</sup>) area is defined by the drainages of three streams - Mosier Creek (51.8 mi<sup>2</sup>), Rock Creek (13.9 mi<sup>2</sup>), and Rowena Creek (6.9 mi<sup>2</sup>) - plus a small area that drains directly to the Columbia River.The three major components of the study are: (1) a 2-year intensive data collection period to augment previous streamflow and groundwater-level measurements, (2) precipitation-runoff modeling of the watersheds to determine the amount of recharge to the aquifer system, and (3) groundwater-flow modeling and analysis to evaluate the cause of groundwater-level declines and to evaluate possible water resource management strategies. Data collection included the following: 1. Water-level measurements were made in 37 wells. Bi-monthly or quarterly measurements were made in 30 wells, and continuous water-level monitoring instruments were installed in 7 wells. The measurements principally were made to capture the seasonal patterns in the groundwater system, and to augment the available long-term record. 2. Groundwater pumping was measured, reported, or estimated from irrigation, municipal and domestic wells. Flowmeters were installed on 74 percent of all high-capacity irrigation wells in the study area. 3. Borehole geophysical data were collected from a known commingling well. These data measured geologic properties and vertical flow through the well. 4. Streamflow measurements were made in Rock, Rowena, and Mosier Creeks. A long-term recording stream-gaging station was reestablished on Mosier Creek to provide a continuous record of streamflow. Streamflow measurements also were made along the creeks periodically to evaluate seasonal patterns of exchange between streams and the groundwater system. Major findings from the study include: 1. Annual average precipitation ranges from 20 to 54 inches across the study area with an average value of about 30 inches. Based on rainfall-runoff modeling, about one-third of this water infiltrates into the aquifer system. 2. Currently, about 3 percent of the water infiltrated into the groundwater system is extracted for municipal, agricultural, and rural residential use. The remainder of the water flows through the aquifer system, discharging into local streams and the Columbia River. About 80 percent of recent pumping supports crop production. The city of Mosier public supply wells account for about 10 percent of total pumping, with the remaining 10 percent being pumped from the private wells of rural residents. 3. Groundwater-flow simulation results indicate that leakage through commingling wells is a significant and likely the dominant cause of water level declines. Leakage patterns can be complex, but most of the leaked water likely flows out the CRBG aquifer system through very permeable sediments into Mosier Creek and its tributary streams in the OWRD administrative area. Model-derived estimates attribute 80-90 percent of the declines to commingling, with pumping accounting for the remaining 10-20 percent. Although decadal trends in precipitation have occurred, associated changes in aquifer recharge are likely not a significant contributor to the current water level declines. 4. As many as 150 wells might be commingling. To evaluate whether or not the local combination of geology and well construction have resulted in aquifer commingling at a particular well, the well needs to be tested by measuring intraborehole flow. During geophysical testing of one known commingling well, the flow rate through the well between aquifers ranged between 70 and 135 gallons per minute (11-22 percent of total annual pumping in the study area). Historically, when aquifer water levels were 150-200 feet higher, this flow rate would have been correspondingly higher. 5. Because aquifer commingling through well boreholes is likely the dominant cause of aquifer declines, flow simulations were conducted to evaluate the benefit of repairing wells in specified locations and the benefit of recharging aquifers using diverted flow from study area creeks. As part of this analysis, maps were generated that show which areas are more vulnerable to commingling. These maps indicate that the value of repairing wells in the area generally coincident with the OWRD administrative area is higher than in areas farther upstream in the watershed. Simulation results also indicate that artificial recharge of the aquifers using diverted creek water will not significantly improve water levels in the aquifer system unless at least some commingling wells are repaired first. Repairs would entail construction of wells in a manner that prevents commingling of multiple aquifers. The value of artificially recharging the aquifers improves as more wells are repaired because the aquifer system more efficiently stores water.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125002","collaboration":"Prepared in cooperation with the Wasco County Soil and Water Conservation District?","usgsCitation":"Burns, E., Morgan, D.S., Lee, K.K., Haynes, J.V., and Conlon, T.D., 2012, Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon: U.S. Geological Survey Scientific Investigations Report 2012-5002, viii, 62 p.; Appendices; Downloadable GIS Data, Table A3, and Appendices A-F, https://doi.org/10.3133/sir20125002.","productDescription":"viii, 62 p.; Appendices; Downloadable GIS Data, Table A3, and Appendices A-F","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":204764,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5002/","linkFileType":{"id":5,"text":"html"}},{"id":204766,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5002.jpg"}],"datum":"North American Datum of 1927","country":"United States","state":"Oregon","city":"Mosier","otherGeospatial":"Mosier Creek, Rock Creek, Rowena Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.55,45.483333333333334 ], [ -121.55,45.75 ], [ -121.16666666666667,45.75 ], [ -121.16666666666667,45.483333333333334 ], [ -121.55,45.483333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c92e4b0c8380cd52bdb","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":84802,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":310,"text":"Geology, Minerals, Energy and Geophysics Science Center","active":false,"usgs":true}],"preferred":false,"id":356736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, David S.","contributorId":73181,"corporation":false,"usgs":true,"family":"Morgan","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":356735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Karl K.","contributorId":41050,"corporation":false,"usgs":true,"family":"Lee","given":"Karl","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":356734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70009617,"text":"ofr20121037 - 2012 - Patterns of larval sucker emigration from the Sprague and lower Williamson Rivers of the Upper Klamath Basin, Oregon, after the removal of Chiloquin Dam - 2009-10 Annual Report","interactions":[],"lastModifiedDate":"2016-05-03T12:43:09","indexId":"ofr20121037","displayToPublicDate":"2012-03-02T00:00:00","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":"2012-1037","title":"Patterns of larval sucker emigration from the Sprague and lower Williamson Rivers of the Upper Klamath Basin, Oregon, after the removal of Chiloquin Dam - 2009-10 Annual Report","docAbstract":"<h1>Executive Summary</h1>\n<p>In 2009 and 2010, drift samples were collected from six sites on the lower Sprague and Williamson Rivers to assess drift patterns of larval Lost River suckers (<i>Deltistes luxatus</i>) (LRS) and shortnose suckers (<i>Chasmistes brevirostris</i>) (SNS). The objective of this study was to characterize the drift timing, relative abundance, and growth stage frequencies of larval suckers emigrating from the Sprague River watershed. These data were used to evaluate changes in spawning distribution of LRS and SNS in the Sprague River after the 2008 removal of Chiloquin Dam. Drift samples were collected at four sites on the Sprague River and one site each on the Williamson and Sycan Rivers.</p>\n<p>Data presented in this report is a continuation of a research project that began in 2004. Larval drift parameters measured in 2009 and 2010 were similar to those measured from 2004 to 2008. Most larvae and eggs were collected at the two drift sites downstream of the former Chiloquin Dam (river kilometer 0.7 on the Sprague River and river kilometer 7.4 on the Williamson River). Mean and peak sample densities increased with proximity to Upper Klamath Lake. Peak larval densities continued to be collected between 1 and 3 hours after sunset at Chiloquin, which is the drift site nearest a known spawning area. Catch distribution of larvae and eggs in the lower Sprague and Williamson Rivers suggests that most SNS and LRS spawning continues to occur downstream of the site of the former Chiloquin Dam. The sizes and growth stages indicate that larval emigration from spawning areas resulting from drift occurs within a few days after swim-up. Larval suckers appear to move downstream quickly until they reach suitable rearing habitat.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121037","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Ellsworth, C.M., and Martin, B.A., 2012, Patterns of larval sucker emigration from the Sprague and lower Williamson Rivers of the Upper Klamath Basin, Oregon, after the removal of Chiloquin Dam - 2009-10 Annual Report: U.S. Geological Survey Open-File Report 2012-1037, iv, 34 p., https://doi.org/10.3133/ofr20121037.","productDescription":"iv, 34 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research 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,{"id":70009629,"text":"ofr20111305 - 2012 - Quality of water and bottom material in Breckenridge Reservoir, Virginia, September 2008 through August 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"ofr20111305","displayToPublicDate":"2012-03-02T00:00:00","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":"2011-1305","title":"Quality of water and bottom material in Breckenridge Reservoir, Virginia, September 2008 through August 2009","docAbstract":"Breckenridge Reservoir is located within the U.S. Marine Corps Base in Quantico, which is in the Potomac River basin and the Piedmont Physiographic Province of northern Virginia. Because it serves as the principal water supply for the U.S. Marine Corps Base in Quantico, an assessment of the water-quality of Breckenridge Reservoir was initiated. Water samples were collected and physical properties were measured by the U.S. Geological Survey at three sites in Breckenridge Reservoir, and physical properties were measured at six additional reservoir sites from September 2008 through August 2009. Water samples were also collected and physical properties were measured in each of the three major tributaries to Breckenridge Reservoir: North Branch Chopawamsic Creek, Middle Branch Chopawamsic Creek, and South Branch Chopawamsic Creek. One site on each tributary was sampled at least five times during the study. Monthly profiles were conducted for water temperature, dissolved-oxygen concentrations, specific conductance, pH, and turbidity measured at 2-foot intervals throughout the water column of the reservoir. These profiles were conducted at nine sites in the reservoir, and data values were measured at these sites from the water surface to the bottom of the reservoir. These profiles were conducted along three cross sections and were used to define the characteristics of the entire water column of the reservoir. The analytical results of reservoir and tributary samples collected and physical properties measured during this study were compared to ambient water-quality standards of the Virginia Department of Environmental Quality and Virginia State Water Control Board. Water temperature, dissolved-oxygen concentration, specific conductance, pH, and turbidity measured in Breckenridge Reservoir generally indicated a lack of stratification in the water column of the reservoir throughout the study period. This is unlike most other reservoirs in the region and may be influenced by the reservoir's relatively short length and the aerators that operate in the reservoir near the spillway. In general, the water-quality of Breckenridge Reservoir is similar to other reservoirs in the region, and the measurements made during this study indicate that the reservoir is healthy and is not in violation of published State Water Control Board ambient water-quality standards. Water samples at three reservoir sites were analyzed for 53 pesticides, but only atrazine was found to be above the laboratory minimum reporting level. Atrazine concentrations of 0.008 and 0.010 microgram per liter near the surface and bottom of the reservoir, respectively, were found at all three sampling locations. Bottom-material samples were collected for analysis of trace elements at all three reservoir sampling sites. Concentrations of arsenic, cadmium, and mercury in bottom material were similar to those analyzed in other reservoirs in the region. However, most other constituents that were collected from Breckenridge Reservoir, especially iron and lead, showed much higher concentrations than the other reservoirs. During the course of the study, increased turbidity and Escherichia coli bacteria counts were observed during or after periods of increased tributary discharge, and Secchi-disk depths decreased during those same periods. These streamflow and water-quality indicators suggest a close relationship between Breckenridge Reservoir and its tributaries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111305","collaboration":"Prepared in cooperation with U.S. Marine Corps, Quantico, Virginia","usgsCitation":"Lotspeich, R., 2012, Quality of water and bottom material in Breckenridge Reservoir, Virginia, September 2008 through August 2009: U.S. Geological Survey Open-File Report 2011-1305, vi, 18 p.; Appendices; PDF Download of Appendices; XLS Download of Appendices, https://doi.org/10.3133/ofr20111305.","productDescription":"vi, 18 p.; Appendices; PDF Download of Appendices; XLS Download of Appendices","startPage":"i","endPage":"19","numberOfPages":"25","additionalOnlineFiles":"Y","temporalStart":"2008-09-01","temporalEnd":"2009-08-31","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":204791,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1305.jpg"},{"id":204767,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1305/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Virginia","otherGeospatial":"Breckenridge Reservoir","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a914ae4b0c8380cd801c8","contributors":{"authors":[{"text":"Lotspeich, Russell","contributorId":88479,"corporation":false,"usgs":true,"family":"Lotspeich","given":"Russell","email":"","affiliations":[],"preferred":false,"id":356769,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70118594,"text":"70118594 - 2012 - Shipboard magnetic field \"noise\" reveals shallow heavy mineral sediment concentrations in Chesapeake Bay","interactions":[],"lastModifiedDate":"2014-07-29T14:01:52","indexId":"70118594","displayToPublicDate":"2012-03-01T13:59:51","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Shipboard magnetic field \"noise\" reveals shallow heavy mineral sediment concentrations in Chesapeake Bay","docAbstract":"Shipboard magnetic field data collected over Chesapeake Bay exhibit low-amplitude, short-wavelength anomalies that most likely indicate shallow concentrations of heavy mineral sediments. Piston core layers and black sand beach samples exhibit enhanced magnetic susceptibilities and carry remanent magnetization, with mineralogical analyses indicating ilmenite and trace magnetite and/or maghemite and hematite. The anomalies are subtle and would be filtered as noise using traditional approaches, but can instead be highlighted using spectral methods, thus providing nearly continuous coverage along survey tracks. The distribution of the anomalies provides constraints on relevant sorting mechanisms. Comparisons to sonar data and previous grab samples show that two of three areas surveyed exhibit short-wavelength anomalies that are clustered over sand-covered areas, suggesting initial sorting through settling mechanisms. This is supported by a correlation between core magnetic susceptibility and grain size. Near the Choptank River, where sediment resuspension is wave-dominated, anomalies show a sharp decrease with seafloor depth that cannot be explained by signal attenuation alone. In Pocomoke Sound, where both tidal currents and wave-action impact sediment resuspension, anomalies show a more gradual decrease with depth. Near the mouth of the bay, where there is a higher influx of sediments from the continental shelf, short-wavelength anomalies are isolated and do not appear to represent heavy mineral sand concentrations. These combined observations suggest the importance of further sorting by erosional processes in certain parts of the bay. Additionally, comparisons of these data to cores sampling pre-Holocene sediments suggest that the sorting of heavy minerals in higher energy, shallow water environments provides a mechanism for correlations between core magnetic susceptibility and sea-level changes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Scientific","publisherLocation":"Amsterdam","doi":"10.1016/j.margeo.2012.02.006","usgsCitation":"Shah, A.K., Vogt, P.R., Rosenbaum, J.G., Newell, W.L., Cronin, T.M., Willard, D.A., Hagen, R.A., Brozena, J., and Hofstra, A., 2012, Shipboard magnetic field \"noise\" reveals shallow heavy mineral sediment concentrations in Chesapeake Bay: Marine Geology, v. 303-306, p. 26-41, https://doi.org/10.1016/j.margeo.2012.02.006.","productDescription":"16 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jrosenbaum@usgs.gov","contributorId":1524,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"Joseph","email":"jrosenbaum@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":497103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newell, Wayne L. wnewell@usgs.gov","contributorId":2512,"corporation":false,"usgs":true,"family":"Newell","given":"Wayne","email":"wnewell@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":497106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience 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,{"id":70074334,"text":"70074334 - 2012 - Spatially variable stage-driven groundwater-surface water interaction inferred from time-frequency analysis of distributed temperature sensing data","interactions":[],"lastModifiedDate":"2014-01-29T11:46:32","indexId":"70074334","displayToPublicDate":"2012-03-01T11:42:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Spatially variable stage-driven groundwater-surface water interaction inferred from time-frequency analysis of distributed temperature sensing data","docAbstract":"Characterization of groundwater-surface water exchange is essential for improving understanding of contaminant transport between aquifers and rivers. Fiber-optic distributed temperature sensing (FODTS) provides rich spatiotemporal datasets for quantitative and qualitative analysis of groundwater-surface water exchange. We demonstrate how time-frequency analysis of FODTS and synchronous river stage time series from the Columbia River adjacent to the Hanford 300-Area, Richland, Washington, provides spatial information on the strength of stage-driven exchange of uranium contaminated groundwater in response to subsurface heterogeneity. Although used in previous studies, the stage-temperature correlation coefficient proved an unreliable indicator of the stage-driven forcing on groundwater discharge in the presence of other factors influencing river water temperature. In contrast, S-transform analysis of the stage and FODTS data definitively identifies the spatial distribution of discharge zones and provided information on the dominant forcing periods (≥2 d) of the complex dam operations driving stage fluctuations and hence groundwater-surface water exchange at the 300-Area.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2011GL050824","usgsCitation":"Mwakanyamale, K., Slater, L., Day-Lewis, F.D., Elwaseif, M., and Johnson, C.D., 2012, Spatially variable stage-driven groundwater-surface water interaction inferred from time-frequency analysis of distributed temperature sensing data: Geophysical Research Letters, v. 39, no. 6, 6 p., https://doi.org/10.1029/2011GL050824.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-035926","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":474563,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl050824","text":"Publisher Index Page"},{"id":281651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281638,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL050824"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Doe Hanford 300 Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.400291,46.259468 ], [ -119.400291,46.370457 ], [ -119.211394,46.370457 ], [ -119.211394,46.259468 ], [ -119.400291,46.259468 ] ] ] } } ] }","volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-20","publicationStatus":"PW","scienceBaseUri":"53cd739ae4b0b290851090b4","contributors":{"authors":[{"text":"Mwakanyamale, Kisa","contributorId":75847,"corporation":false,"usgs":true,"family":"Mwakanyamale","given":"Kisa","email":"","affiliations":[],"preferred":false,"id":489510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":489509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":489507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elwaseif, Mehrez","contributorId":86681,"corporation":false,"usgs":true,"family":"Elwaseif","given":"Mehrez","email":"","affiliations":[],"preferred":false,"id":489511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":489508,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045104,"text":"70045104 - 2012 - GEM Basic Building Taxonomy (Version 1.0)","interactions":[],"lastModifiedDate":"2014-05-30T14:39:28","indexId":"70045104","displayToPublicDate":"2012-03-01T11:31:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"GEM Basic Building Taxonomy (Version 1.0)","docAbstract":"<p>This report documents the development of Global Earthquake Model (GEM) Basic Building Taxonomy and it also provides\nversion 1.0 of this Taxonomy for its immediate application within GEM Physical Risk projects. Criteria for development of\nthe GEM Building Taxonomy required that the Taxonomy be relevant to seismic performance of different construction\ntypes; be comprehensive yet simple; be collapsible; be adhering to principles that are familiar to the range of users; and\nultimately be extensible to non-buildings and other hazards.</p>\n<br>\n<p>The taxonomy is organized as a series of expandable tables, which contain information pertaining to various building\nattributes. Each attribute describes a specific characteristic that could potentially affect the seismic performance of a\nbuilding. This report describes the structure and the content of the Basic Building Taxonomy, which consists of eight\nbasic attributes, in detail. These attributes were selected after a series of interactions/discussions with all the GEM\nPhysical Risk Global Component project teams. In addition, we also tried to gather feedback from a number of participants\noutside the GEM Risk Consortium group. The Basic Taxonomy attributes discussed in this report are: material; lateral\nload-resisting system; roof; floor; building height; date of construction; structural irregularity, and occupancy. A future\nDetailed Building Taxonomy will provide more details related to certain aforementioned attributes in the Basic Building\nTaxonomy. As well, it will also include additional attributes that are necessary for assessing building vulnerability using\nanalytical procedures.</p>\n<br>\n<p>The report also illustrates the practical use of the proposed GEM Basic Building Taxonomy by discussing example case\nstudies, wherein the building-specific characteristics are mapped directly using GEM Taxonomic attributes and a simple\ntaxonomic string is constructed for that building. The building taxonomy data model is highly flexible and it can be easily\nincorporated within the relational database architecture. Due to its ability to represent building typologies using a\nshorthand form, it is also possible to use this taxonomy for non-database applications. Key terms in the taxonomy are\nexplained in an online glossary, which provides both text and graphic descriptions for the attributes and their details.</p>","language":"English","publisher":"GEM Nexus","collaboration":"Report produced in the context of the GEM Ontology and Taxonomy Global Component project","usgsCitation":"Brzev, S., Scawthorn, C., Charleson, A., and Jaiswal, K., 2012, GEM Basic Building Taxonomy (Version 1.0), iii, 39 p.","productDescription":"iii, 39 p.","ipdsId":"IP-037240","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":282395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282394,"type":{"id":15,"text":"Index Page"},"url":"https://www.nexus.globalquakemodel.org/gem-building-taxonomy/posts/updated-gem-basic-building-taxonomy-v1.0"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae76d0e4b0abf75cf2c02e","contributors":{"authors":[{"text":"Brzev, S.","contributorId":47291,"corporation":false,"usgs":true,"family":"Brzev","given":"S.","email":"","affiliations":[],"preferred":false,"id":476803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scawthorn, C.","contributorId":65763,"corporation":false,"usgs":true,"family":"Scawthorn","given":"C.","email":"","affiliations":[],"preferred":false,"id":476804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charleson, A.W.","contributorId":23845,"corporation":false,"usgs":true,"family":"Charleson","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":476802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaiswal, K.","contributorId":89260,"corporation":false,"usgs":true,"family":"Jaiswal","given":"K.","affiliations":[],"preferred":false,"id":476805,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70125654,"text":"70125654 - 2012 - Brain cancer mortality rates increase with <i>Toxoplasma gondii</i> seroprevalence in France","interactions":[],"lastModifiedDate":"2014-09-18T10:20:45","indexId":"70125654","displayToPublicDate":"2012-03-01T10:18:24","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Brain cancer mortality rates increase with <i>Toxoplasma gondii</i> seroprevalence in France","docAbstract":"The incidence of adult brain cancer was previously shown to be higher in countries where the parasite <i>Toxoplasma gondii</i> is common, suggesting that this brain protozoan could potentially increase the risk of tumor formation. Using countries as replicates has, however, several potential confounding factors, particularly because detection rates vary with country wealth. Using an independent dataset entirely within France, we further establish the significance of the association between <i>T. gondii</i> and brain cancer and find additional demographic resolution. In adult age classes 55 years and older, regional mortality rates due to brain cancer correlated positively with the local seroprevalence of <i>T. gondii</i>. This effect was particularly strong for men. While this novel evidence of a significant statistical association between <i>T. gondii</i> infection and brain cancer does not demonstrate causation, these results suggest that investigations at the scale of the individual are merited.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Infection, Genetics and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2012.01.013","usgsCitation":"Vittecoq, M., Elguero, E., Lafferty, K.D., Roche, B., Brodeur, J., Gauthier-Clerc, M., Misse, D., and Thomas, F., 2012, Brain cancer mortality rates increase with <i>Toxoplasma gondii</i> seroprevalence in France: Infection, Genetics and Evolution, v. 12, no. 2, p. 496-498, https://doi.org/10.1016/j.meegid.2012.01.013.","productDescription":"3 p.","startPage":"496","endPage":"498","numberOfPages":"3","ipdsId":"IP-034831","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.meegid.2012.01.013"}],"country":"France","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -5.14,41.34 ], [ -5.14,51.09 ], [ 9.56,51.09 ], [ 9.56,41.34 ], [ -5.14,41.34 ] ] ] } } ] }","volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf41ee4b0e96537ddf651","contributors":{"authors":[{"text":"Vittecoq, Marion","contributorId":34836,"corporation":false,"usgs":true,"family":"Vittecoq","given":"Marion","email":"","affiliations":[],"preferred":false,"id":501556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elguero, Eric","contributorId":80909,"corporation":false,"usgs":true,"family":"Elguero","given":"Eric","email":"","affiliations":[],"preferred":false,"id":501560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roche, Benjamin","contributorId":10344,"corporation":false,"usgs":true,"family":"Roche","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":501554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brodeur, Jacques","contributorId":47987,"corporation":false,"usgs":true,"family":"Brodeur","given":"Jacques","email":"","affiliations":[],"preferred":false,"id":501557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gauthier-Clerc, Michel","contributorId":59639,"corporation":false,"usgs":true,"family":"Gauthier-Clerc","given":"Michel","email":"","affiliations":[],"preferred":false,"id":501559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Misse, Dorothee","contributorId":29227,"corporation":false,"usgs":true,"family":"Misse","given":"Dorothee","email":"","affiliations":[],"preferred":false,"id":501555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomas, Frederic","contributorId":57275,"corporation":false,"usgs":true,"family":"Thomas","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":501558,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70041091,"text":"70041091 - 2012 - Hood River PIT-tag interrogation system efficiency study. Annual report of U.S. Geological Survey activities: November 2010-October 2011","interactions":[],"lastModifiedDate":"2016-05-03T13:38:24","indexId":"70041091","displayToPublicDate":"2012-03-01T06:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Hood River PIT-tag interrogation system efficiency study. Annual report of U.S. Geological Survey activities: November 2010-October 2011","docAbstract":"<h1>Introduction</h1>\n<p>During summer 2010, an agreement was made between the US Geological SurveyColumbia River Research Laboratory (USGS-CRRL) and the Confederated Tribes of the Warm Springs (CTWS) to operate an experimental Passive Integrated Transponder (PIT)-tag interrogation system (PTIS) near the mouth of the Hood River for a year and provide fishdetection efficiency estimates (Bonneville Power Administration (BPA) project number 1988- 053-03, contract number 50150). A previous agreement between Oregon Department of Fish and Wildlife (ODFW) and USGS-CRRL had funded materials acquisition, construction, and installation of the PTIS (BPA project number 1988-053-04, contract number 48684). The primary purpose of the project was to test the efficacy of a PTIS in the lower Hood River for providing data on returning adult salmonids to the Hood River as part of the Hood River Production Monitor and Evaluation project (HRPME).</p>\n<p>Because PIT tags are small, relatively inexpensive, carry no internal battery, and last through the lifespan of most fishes, they are commonly used in long term fish monitoring projects. They have been extensively used in the Columbia River basin to monitor salmonid behavior and survival through life stages and migration routes in the mainstem Columbia River (Skalski et al. 1998; Zabel and Achord 2004). Increasingly, PIT-tag detection equipment has been deployed in streams to investigate salmonid behavior (Zydlewski et al. 2001, 2006; Riley et al. 2003; Bond et al. 2007). Most of the detection systems deployed and evaluated to date have been in much smaller streams than the mainstem of the Hood River (Zydlewski et al. 2001, 2006; Bond et al. 2007; Horton et al. 2007; Connolly et al. 2008), but researchers are attempting to expand detection abilities to larger streams and rivers. Large streams and rivers can prove extremely challenging to monitor. Some systems have showed promise for contributing valuable detection data, others have proved less successful. A detection system in the Klamath River (Beeman et al. 2012), a site similar in size to the Hood River, suffered problems from cables being dislodged and high water that resulted in a detection efficiency estimate for juvenile coho salmon of less than 0.05.</p>\n<p>An additional USGS-CRRL task, under contract number 50150, was to build three antennas for use with Destron-Fearing 2001F-ISO PIT tag readers. These antennas would be 5 used at the East Fork Hood River Acclimation site. They would be placed in the outflow channel to inform managers about the number of PIT tagged steelhead smolts released to the Hood River after a period of acclimation when some mortality and predation might occur.&nbsp;</p>","language":"English","publisher":"Bonneville Power Administration","collaboration":"Report covers work performed under BPA contract #50150","usgsCitation":"Jezorek, I.G., and Connolly, P., 2012, Hood River PIT-tag interrogation system efficiency study. Annual report of U.S. Geological Survey activities: November 2010-October 2011, 29 p.","productDescription":"29 p.","numberOfPages":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034639","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320896,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P126054","text":"Report","size":"330.57 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Oregon","otherGeospatial":"Hood River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.51702880859374,\n              45.675602118969024\n            ],\n            [\n              -121.51702880859374,\n              45.72367868655654\n            ],\n            [\n              -121.4952278137207,\n              45.72367868655654\n            ],\n            [\n              -121.4952278137207,\n              45.675602118969024\n            ],\n            [\n              -121.51702880859374,\n              45.675602118969024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5729cbb5e4b0b13d3919a378","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628546,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040349,"text":"70040349 - 2012 - Biological inventory of anchialine pools in the Pu'uhonua o Hōnaunau National Historical Park and Pu'ukoholā Heiau National Historical Site, Hawaii Island","interactions":[],"lastModifiedDate":"2018-01-05T12:44:38","indexId":"70040349","displayToPublicDate":"2012-03-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"181","title":"Biological inventory of anchialine pools in the Pu'uhonua o Hōnaunau National Historical Park and Pu'ukoholā Heiau National Historical Site, Hawaii Island","docAbstract":"<p>Inventories for major groups of invertebrates were completed at anchialine pool complexes in Pu&lsquo;uhonua o Hōnaunau National Historical Park (PUHO) and Pu&lsquo;ukoholā Heiau National Historic Site (PUHE) on the island of Hawai&lsquo;i. Nine pools within two pool complexes were surveyed at PUHO, along with one extensive pool at the terminus of Makeāhua Gulch at PUHE. At both parks, inventories documented previously unreported diversity, with pool complexes at PUHO exhibiting greater species richness for most taxa than the pool at PUHE. Inventories at PUHO recorded five species of molluscs, four species of crustaceans (including the candidate endangered shrimp Metabetaeus lohena), two species of Orthoptera, four species of Odonata (including the candidate endangered damselfly Megalagrion xanthomelas), fourteen species of Diptera, nine taxa of plankton, and thirteen species of ants; inventories at the PUHE pool produced only one species of mollusc, two species of crustacean, at least one species of Orthoptera, four species of Odonata, thirty species of Diptera, five taxa of plankton, and four species of ants. Further survey work may be necessary to document the full diversity of pool fauna, especially in species-rich groups like the Diptera. Inventory data will be used to generate a network wide database of species presence and distribution, and will aid in developing management plans for anchialine pool resources.</p>","language":"English","publisher":"University of Hawaii at Manoa","publisherLocation":"Honolulu, Hawaii","usgsCitation":"Tango, L.K., Foote, D., Magnacca, K.N., Foltz, S.J., and Cutler, K., 2012, Biological inventory of anchialine pools in the Pu'uhonua o Hōnaunau National Historical Park and Pu'ukoholā Heiau National Historical Site, Hawaii Island: Technical Report 181, ii, 24 p.","productDescription":"ii, 24 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029280","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.91118812561035,\n              19.42244204130599\n            ],\n            [\n              -155.90749740600583,\n              19.423089610232022\n            ],\n            [\n              -155.90161800384521,\n              19.40928773900289\n            ],\n            [\n              -155.90505123138428,\n              19.409247262584064\n            ],\n            [\n              -155.91397762298584,\n              19.418758943963656\n            ],\n            [\n              -155.91500759124756,\n              19.420985001787017\n            ],\n            [\n              -155.91148853302002,\n              19.42244204130599\n            ],\n            [\n              -155.91118812561035,\n              19.42244204130599\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.84303855895993,\n              20.052303063632973\n            ],\n            [\n              -155.83351135253906,\n              20.0573018972901\n            ],\n            [\n              -155.8259582519531,\n              20.062542439024405\n            ],\n            [\n              -155.81565856933594,\n              20.026903305256454\n            ],\n            [\n              -155.8227825164795,\n              20.021822860849916\n            ],\n            [\n              -155.84372520446777,\n              20.05149678523012\n            ],\n            [\n              -155.84303855895993,\n              20.052303063632973\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8b5e4b0ebae89b78866","contributors":{"authors":[{"text":"Tango, Lori K.","contributorId":173503,"corporation":false,"usgs":false,"family":"Tango","given":"Lori","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":644914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foote, David dfoote@usgs.gov","contributorId":375,"corporation":false,"usgs":true,"family":"Foote","given":"David","email":"dfoote@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":644910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnacca, Karl N.","contributorId":173504,"corporation":false,"usgs":false,"family":"Magnacca","given":"Karl","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":644915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foltz, Sarah J.","contributorId":173505,"corporation":false,"usgs":false,"family":"Foltz","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":644916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cutler, Kerry","contributorId":119876,"corporation":false,"usgs":true,"family":"Cutler","given":"Kerry","email":"","affiliations":[],"preferred":false,"id":644917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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