{"pageNumber":"612","pageRowStart":"15275","pageSize":"25","recordCount":46883,"records":[{"id":70042120,"text":"tm4F4 - 2012 - Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-in","interactions":[],"lastModifiedDate":"2022-04-26T19:05:49.744279","indexId":"tm4F4","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-F4","title":"Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-in","docAbstract":"<p>Water-level modeling is used for multiple-well aquifer tests to reliably differentiate pumping responses from natural water-level changes in wells, or &ldquo;environmental fluctuations.&rdquo; Synthetic water levels are created during water-level modeling and represent the summation of multiple component fluctuations, including those caused by environmental forcing and pumping. Pumping signals are modeled by transforming step-wise pumping records into water-level changes by using superimposed Theis functions. Water-levels can be modeled robustly with this Theis-transform approach because environmental fluctuations and pumping signals are simulated simultaneously. Water-level modeling with Theis transforms has been implemented in the program SeriesSEE, which is a Microsoft&reg; Excel add-in. Moving average, Theis, pneumatic-lag, and gamma functions transform time series of measured values into water-level model components in SeriesSEE. Earth tides and step transforms are additional computed water-level model components. Water-level models are calibrated by minimizing a sum-of-squares objective function where singular value decomposition and Tikhonov regularization stabilize results. Drawdown estimates from a water-level model are the summation of all Theis transforms minus residual differences between synthetic and measured water levels. The accuracy of drawdown estimates is limited primarily by noise in the data sets, not the Theis-transform approach. Drawdowns much smaller than environmental fluctuations have been detected across major fault structures, at distances of more than 1 mile from the pumping well, and with limited pre-pumping and recovery data at sites across the United States. In addition to water-level modeling, utilities exist in SeriesSEE for viewing, cleaning, manipulating, and analyzing time-series data.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section F: Groundwater in Book 4:<i>Hydrologic Analysis and Interpretation</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4F4","collaboration":"U. S. Department of Energy, National Nuclear Security Administration, Environmental Restoration Program, Underground Test Area Project","usgsCitation":"Halford, K., Garcia, C.A., Fenelon, J., and Mirus, B., 2012, Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-In, (ver. 1.1, July, 2016): U.S. Geological Survey Techniques and Methods 4–F4, 28 p., https://dx.doi.org/10.3133/tm4F4.","productDescription":"Report: viii, 29 p.; Report Package; 5 Appendixes","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":399696,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98010.htm"},{"id":264743,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixE_PahuteMesaExample.zip","text":"Appendix E Pahute Mesa Example","size":"18.7","linkFileType":{"id":6,"text":"zip"}},{"id":264742,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixD_HypotheticalAquifer.zip","text":"Appendix D Hypothetical Aquifer","size":"15.1","linkFileType":{"id":6,"text":"zip"}},{"id":264741,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixC_Verification.zip","text":"Appendix C Verification","size":"3.2 MB","linkFileType":{"id":6,"text":"zip"}},{"id":325395,"rank":10,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/tm4-F4/versionHist.txt"},{"id":264736,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm4-F4/"},{"id":264737,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/tm4-F4.pdf","text":"Report PDF","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":264738,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/Release.v1.20_T+M_SeriesSEE_Appendixes.zip","text":"Complete Report Package","size":"83.1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264740,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixB_Codes-SeriesSEE.v1.20.zip","text":"Appendix B Codes-Series SEE.v1.20","size":"8.1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264739,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixA_SeriesSEE.v.1.20.zip","text":"Appendix A Series SEE.v.1.20","size":"30.9 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/tm4-F4/images/coverthb.jpg"}],"edition":"Version 1.0: Originally posted December 2012; Version 1.1: July 2016","publicComments":"This report is Chapter 4 of Section F: Groundwater in Book 4:<i>Hydrologic Analysis and Interpretation</i>.","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, Nevada Water Science Center <br>U.S. Geological Survey<br>2730 N. Deer Run Road<br>Carson City, Nevada 89701<br><a href=\"http://nevada.usgs.gov/\" data-mce-href=\"http://nevada.usgs.gov/\">http://nevada.usgs.gov/</a></p>","tableOfContents":"<p>USGS Techniques and Methods 4-F4: Advanced Methods for Modeling Water-Levels and Estimating Drawdowns with SeriesSEE, an Excel Add-In<!-- Posting Metadata --><!-- End Posting Metadata --></p>\n<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Purpose and Scope</li>\n<li>Environmental Fluctuations</li>\n<li>Water-Level Modeling</li>\n<li>SeriesSEE</li>\n<li>Applications of Water-Level Modeling</li>\n<li>Water-Level Modeling Strategies</li>\n<li>Summary and Conclusions</li>\n<li>References</li>\n</ul>\n<p>&nbsp;</p>","publishedDate":"2012-12-21","revisedDate":"2016-07-18","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"50e5cfdee4b0a4aa5bb0ae68","contributors":{"authors":[{"text":"Halford, Keith 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":74845,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","affiliations":[],"preferred":false,"id":470799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenelon, Joe","contributorId":70266,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joe","email":"","affiliations":[],"preferred":false,"id":470798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mirus, Benjamin B.","contributorId":12348,"corporation":false,"usgs":false,"family":"Mirus","given":"Benjamin","email":"","middleInitial":"B.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":470797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042112,"text":"sir20125278 - 2012 - Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11","interactions":[],"lastModifiedDate":"2016-08-05T16:22:41","indexId":"sir20125278","displayToPublicDate":"2012-12-22T00:00:00","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":"2012-5278","title":"Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the San Antonio Water System, examined groundwater-level altitudes (groundwater levels) and water-quality data pertaining to the Austin Group in Bexar County, Texas, during 2009&ndash;11. Hydrologic data collected included daily mean groundwater levels collected at seven sites in the study area. Water-quality samples were collected at six sites in the study area and analyzed for major ions, nutrients, trace elements, organic carbon, and stable isotopes. The resulting datasets were examined for similarities between sites as well as similarities to data from the Edwards aquifer in Bexar County, Tex. Similarities in the groundwater levels between sites completed in the Austin Group and site J (State well AY-68-37-203; hereafter referred to as the &ldquo;Bexar County index well&rdquo;) which is completed in the Edwards aquifer might be indicative of groundwater interactions between the two hydrologic units as a result of nearby faulting or conduit flow. The groundwater levels measured at the sites in the study area exhibited varying degrees of similarity to the Bexar County index well. Groundwater levels at site A (State well AY-68-36-136) exhibited similar patterns as those at the Bexar County index well, but the hydrographs of groundwater levels were different in shape and magnitude in response to precipitation and groundwater pumping, and at times slightly offset in time. The groundwater level patterns measured at sites C, D, and E (State wells AY-68-29-513, AY-68-29-514, and AY-68-29-512, respectively) were not similar to those measured at the Bexar County index well. Groundwater levels at site F (State well AY-68-29-819) exhibited general similarities as those observed at the Bexar County index well; however, there were several periods of notable groundwater-level drawdowns at site F that were not evident at the Bexar County index well. These drawdowns were likely because of pumping from the well at site F. The groundwater levels at sites H and I (State wells AY-68-37-205 and AY-68-29-932, respectively) exhibited similar patterns as those at the Bexar County index well (coefficient of determination [R<sup>2</sup>] of 0.99 at both wells), indicating there might be some degree of hydrologic connectivity to the Edwards aquifer.</p>\n<p>In general, the water-quality data indicated that the samples were representative of a calcium carbonate dominated system. The major ion chemistry and relations between magnesium to calcium molar ratios and <sup>87</sup>Sr/<sup>86</sup>Sr isotopic ratios of samples collected from sites H and I indicated that the groundwater from these sites was most geochemically similar to groundwater collected from site B (State well AY-68-36-134), which is representative of groundwater in the Edwards aquifer. Of the sites sampled in this study, there appears to be varying hydrologic connectivity between groundwater from wells completed in the Austin Group and the Edwards aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125278","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Banta, J., and Clark, A., 2012, Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5278, Document: iv, 18 p.; Appendix, https://doi.org/10.3133/sir20125278.","productDescription":"Document: iv, 18 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042184","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5278.png"},{"id":264722,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5278/"},{"id":264723,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5278/pdf/sir2012-5278.pdf"},{"id":264729,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5278/downloads/sir2012-5278_app.xlsx"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8056,29.1104 ], [ -98.8056,29.7606 ], [ -98.1193,29.7606 ], [ -98.1193,29.1104 ], [ -98.8056,29.1104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50de68d3e4b0e31bb02a2995","contributors":{"authors":[{"text":"Banta, J.R.","contributorId":26598,"corporation":false,"usgs":true,"family":"Banta","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":470782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Allan K. 0000-0003-0099-1521","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":79775,"corporation":false,"usgs":true,"family":"Clark","given":"Allan K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470783,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042113,"text":"ds740 - 2012 - Quality of surface-water runoff in selected streams in the San Antonio segment of the Edwards aquifer recharge zone, Bexar County, Texas, 1997-2012","interactions":[],"lastModifiedDate":"2016-08-05T14:30:25","indexId":"ds740","displayToPublicDate":"2012-12-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"740","title":"Quality of surface-water runoff in selected streams in the San Antonio segment of the Edwards aquifer recharge zone, Bexar County, Texas, 1997-2012","docAbstract":"<p>During 1997&ndash;2012, the U.S. Geological Survey, in cooperation with the San Antonio Water System, collected and analyzed water-quality constituents in surface-water runoff from five ephemeral stream sites near San Antonio in northern Bexar County, Texas. The data were collected to assess the quality of surface water that recharges the Edwards aquifer. Samples were collected from four stream basins that had small amounts of developed land at the onset of the study but were predicted to undergo substantial development over a period of several decades. Water-quality samples also were collected from a fifth stream basin located on land protected from development to provide reference data by representing undeveloped land cover. Water-quality data included pH, specific conductance, chemical oxygen demand, dissolved solids (filtered residue on evaporation in milligrams per liter, dried at 180 degrees Celsius), suspended solids, major ions, nutrients, trace metals, and pesticides. Trace metal concentration data were compared to the Texas Commission on Environmental Quality established surface water quality standards for human health protection (water and fish). Among all constituents in all samples for which criteria were available for comparison, only one sample had one constituent which exceeded the surface water criteria on one occasion. A single lead concentration (2.76 micrograms per liter) measured in a filtered water sample exceeded the surface water criteria of 1.15 micrograms per liter. The average number of pesticide detections per sample in stream basins undergoing development ranged from 1.8 to 6.0. In contrast, the average number of pesticide detections per sample in the reference stream basin was 0.6. Among all constituents examined in this study, pesticides, dissolved orthophosphate phosphorus, and dissolved total phosphorus demonstrated the largest differences between the four stream basins undergoing development and the reference stream basin with undeveloped land cover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds740","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Opsahl, S.P., 2012, Quality of surface-water runoff in selected streams in the San Antonio segment of the Edwards aquifer recharge zone, Bexar County, Texas, 1997-2012: U.S. Geological Survey Data Series 740, Document: iv, 19 p.; Appendix, https://doi.org/10.3133/ds740.","productDescription":"Document: iv, 19 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042333","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_740.png"},{"id":264725,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/740/"},{"id":264726,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/740/DS740.pdf"},{"id":264728,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/740/Appendixes_DS740.xlsx"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8056,29.1104 ], [ -98.8056,29.7606 ], [ -98.1193,29.7606 ], [ -98.1193,29.1104 ], [ -98.8056,29.1104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e49692e4b0e8fec6cd97f1","contributors":{"authors":[{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470784,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042049,"text":"sir20105090G - 2012 - Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":70042049,"text":"sir20105090G - 2012 - Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in <i>Global mineral resource assessment</i>","indexId":"sir20105090G","publicationYear":"2012","noYear":false,"chapter":"G","title":"Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2019-12-30T14:20:50","indexId":"sir20105090G","displayToPublicDate":"2012-12-21T00:00:00","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":"2010-5090","chapter":"G","title":"Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in <i>Global mineral resource assessment</i>","docAbstract":"<p>The U.S. Geological Survey (USGS) collaborated with the China Geological Survey (CGS) to conduct a mineral resource assessment of Mesozoic porphyry copper deposits in East Asia. This area hosts several very large porphyry deposits, exemplified by the Dexing deposit in eastern China that contains more than 8,000,000 metric tons of copper. In addition, large parts of the area are undergoing active exploration and are likely to contain undiscovered porphyry copper deposits.</p>\n<p>Three tracts were delineated to be permissive for Mesozoic porphyry copper deposits in East Asia: the Manchuride, Coastal Pacific, and East Qinling tracts, all Jurassic through Cretaceous in age. The tracts are based on mapped and inferred subsurface distributions of igneous rocks that define areas where the occurrence of porphyry copper deposits is possible. These tracts range in area from about 170,000 to about 1,400,000 km<sup>2</sup>. Although maps at a variety of scales were used in the assessment, the final tract boundaries are intended for use at a scale of 1:1,000,000.</p>\n<p>These Mesozoic deposits in East Asia all formed in post-subduction environments, environments newly recognized as permissive for the occurrence of porphyry copper deposits. Based on the grade, tonnage, and geologic characteristics of the known deposits, two tracts, Manchuride and Coastal Pacific, were evaluated using the general (Cu-Mo-Au) porphyry copper grade and tonnage model. The East Qinling tract was evaluated using the molybdenum-rich (Cu-Mo) model. Assessment participants estimated numbers of undiscovered deposits at different levels of confidence for each permissive tract. These estimates were then combined with the selected grade and tonnage models using Monte Carlo simulation to generate quantitative probabilistic estimates of undiscovered resources. Resources in future extensions of deposits with identified resources were not specifically evaluated.</p>\n<p>Assessment results, presented in tables and graphs, show mean amounts of metal and rock in undiscovered deposits at different quantile levels, as well as the arithmetic mean for each tract. This assessment estimated a mean total of about 44 undiscovered porphyry copper deposits within the assessed permissive tracts in East Asia. This represents nearly 4 times the 12 known deposits. Predicted mean (arithmetic) resources that could be associated with these undiscovered deposits are about 198,000,000 metric tons (t) of copper and about 3,900 t of gold, as well as byproduct molybdenum and silver. The reported identified resources for those 12 known deposits total about 23,000,000 t of copper and about 850 t of gold. The assessment area is estimated to contain nearly nine times as much copper in undiscovered porphyry copper deposits as has been identified to date.</p>\n<p>This report includes an overview of the assessment results and summary tables. Descriptions of each tract are included in appendixes, with estimates of numbers of undiscovered deposits, and probabilistic estimates of amounts of copper, molybdenum, gold, and silver that could be contained in undiscovered deposits for each permissive tract. A geographic information system that accompanies the report includes tract boundaries and a database of known porphyry copper deposits and prospects.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090G","collaboration":"Prepared in cooperation with the Russian Academy of Sciences, China Geological Survey, Chinese Academy of Geological Sciences, the Coordinating Committee for Geoscience Programs in East and Southeast Asia, and XDM Geological Consultants, Inc.","usgsCitation":"Ludington, S., Mihalasky, M.J., Hammarstrom, J.M., Robinson, G.R., Frost, T.P., Gans, K.D., Light, T., Miller, R.J., and Alexeiev, D.V., 2012, Porphyry copper assessment of the Mesozoic of East Asia: China, Vietnam, North Korea, Mongolia, and Russia: Chapter G in <i>Global mineral resource assessment</i>: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: vii, 53 p.; Appendix D; Appendix E metadata folder; Appendix E GIS 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Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":470688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":470683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":470681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Gilpin R. Jr. 0000-0002-9676-9564 grobinso@usgs.gov","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":172765,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":470685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frost, Thomas P. 0000-0001-8348-8432 tfrost@usgs.gov","orcid":"https://orcid.org/0000-0001-8348-8432","contributorId":203,"corporation":false,"usgs":true,"family":"Frost","given":"Thomas","email":"tfrost@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":470680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gans, Kathleen D. 0000-0002-7545-9655 kgans@usgs.gov","orcid":"https://orcid.org/0000-0002-7545-9655","contributorId":5403,"corporation":false,"usgs":true,"family":"Gans","given":"Kathleen","email":"kgans@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":470684,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Light, Thomas D.","contributorId":46098,"corporation":false,"usgs":true,"family":"Light","given":"Thomas D.","affiliations":[],"preferred":false,"id":470686,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":470682,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alexeiev, Dmitriy V.","contributorId":89425,"corporation":false,"usgs":true,"family":"Alexeiev","given":"Dmitriy","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":470687,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70042044,"text":"ofr20121246 - 2012 - The Mekong Fish Network: expanding the capacity of the people and institutions of the Mekong River Basin to share information and conduct standardized fisheries monitoring","interactions":[],"lastModifiedDate":"2016-05-03T15:34:35","indexId":"ofr20121246","displayToPublicDate":"2012-12-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1246","title":"The Mekong Fish Network: expanding the capacity of the people and institutions of the Mekong River Basin to share information and conduct standardized fisheries monitoring","docAbstract":"<p>The Mekong River is one of the most biologically diverse rivers in the world, and it supports the most productive freshwater fisheries in the world. Millions of people in the Lower Mekong River Basin (LMB) countries of the Union of Myanmar (Burma), Lao People&rsquo;s Democratic Republic, the Kingdom of Thailand, the Kingdom of Cambodia, and the Socialist Republic of Vietnam rely on the fisheries of the basin to provide a source of protein. The Mekong Fish Network Workshop was convened in Phnom Penh, Cambodia, in February 2012 to discuss the potential for coordinating fisheries monitoring among nations and the utility of establishing standard methods for short- and long-term monitoring and data sharing throughout the LMB. The concept for this network developed out of a frequently cited need for fisheries researchers in the LMB to share their knowledge with other scientists and decisionmakers. A fish monitoring network could be a valuable forum for researchers to exchange ideas, store data, or access general information regarding fisheries studies in the LMB region. At the workshop, representatives from governments, nongovernmental organizations, and universities, as well as participating foreign technical experts, cited a great need for more international cooperation and technical support among them. Given the limited staff and resources of many institutions in the LMB, the success of the proposed network would depend on whether it could offer tools that would provide benefits to network participants. A potential tool discussed at the workshop was a user-friendly, Web-accessible portal and database that could help streamline data entry and storage at the institutional level, as well as facilitate communication and data sharing among institutions. The workshop provided a consensus to establish pilot standardized data collection and database efforts that will be further reviewed by the workshop participants. Overall, workshop participants agreed that this is the type of support that is greatly needed to answer their most pressing questions and to enable local researchers and resource managers to monitor and sustain the valuable and diverse aquatic life of the Mekong River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121246","collaboration":"Prepared in cooperation with FISHBIO","usgsCitation":"Patricio, H.C., Ainsley, S.M., Andersen, M.E., Beeman, J.W., and Hewitt, D.A., 2012, The Mekong Fish Network: expanding the capacity of the people and institutions of the Mekong River Basin to share information and conduct standardized fisheries monitoring: U.S. Geological Survey Open-File Report 2012-1246, vi, 36 p., https://doi.org/10.3133/ofr20121246.","productDescription":"vi, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-02-09","temporalEnd":"2012-02-10","ipdsId":"IP-038456","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":264707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1246.gif"},{"id":264705,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1246/"},{"id":264706,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1246/ofr2012-1246.pdf","text":"Report","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"Cambodia, Laos, Thailand, Vietnam","otherGeospatial":"Mekong River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 89.15,8.0 ], [ 89.15,33.0 ], [ 111.12,33.0 ], [ 111.12,8.0 ], [ 89.15,8.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d4967ae4b0c6073c901f59","contributors":{"authors":[{"text":"Patricio, Harmony C.","contributorId":30525,"corporation":false,"usgs":true,"family":"Patricio","given":"Harmony","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":470666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ainsley, Shaara M.","contributorId":107973,"corporation":false,"usgs":true,"family":"Ainsley","given":"Shaara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":470664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":470663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":470665,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042061,"text":"fs20123140 - 2012 - Use of raw materials in the United States from 1900 through 2010","interactions":[{"subject":{"id":97465,"text":"fs20093008 - 2009 - Use of Minerals and Materials in the United States From 1900 Through 2006","indexId":"fs20093008","publicationYear":"2009","noYear":false,"title":"Use of Minerals and Materials in the United States From 1900 Through 2006"},"predicate":"SUPERSEDED_BY","object":{"id":70042061,"text":"fs20123140 - 2012 - Use of raw materials in the United States from 1900 through 2010","indexId":"fs20123140","publicationYear":"2012","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2010"},"id":1},{"subject":{"id":70042061,"text":"fs20123140 - 2012 - Use of raw materials in the United States from 1900 through 2010","indexId":"fs20123140","publicationYear":"2012","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2010"},"predicate":"SUPERSEDED_BY","object":{"id":70190027,"text":"fs20173062 - 2017 - Use of raw materials in the United States from 1900 through 2014","indexId":"fs20173062","publicationYear":"2017","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2014"},"id":2}],"supersededBy":{"id":70190027,"text":"fs20173062 - 2017 - Use of raw materials in the United States from 1900 through 2014","indexId":"fs20173062","publicationYear":"2017","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2014"},"lastModifiedDate":"2017-08-28T14:24:20","indexId":"fs20123140","displayToPublicDate":"2012-12-21T00:00:00","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":"2012-3140","title":"Use of raw materials in the United States from 1900 through 2010","docAbstract":"Since the beginning of the 20th century, the types and quantities of raw materials used by U.S. manufacturers and consumers have changed over time. This fact sheet quantifies the amounts of those materials (other than food and fuel) that have been input into the U.S. economy annually for a period of 111 years, from 1900 through 2010. It provides a broad overview of all materials used but highlights the use and importance of raw nonfuel minerals in particular. This fact sheet supersedes U.S. Geological Survey Fact Sheet 2009–3008, which was published in April 2009 and covered the period 1900 through 2006. These data have been compiled to help the public and policymakers understand the flow of raw materials used in the United States in physical terms. Such information can be helpful in assessing the past and potential effects of the materials on the environment, evaluating the materials’ intensity of use, and examining the role that these materials play in the economy. It can also provide insight into what may happen to the materials at the end of their useful life.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123140","usgsCitation":"Matos, G.R., 2012, Use of raw materials in the United States from 1900 through 2010: U.S. Geological Survey Fact Sheet 2012-3140, 7 p., available only at https://pubs.usgs.gov/fs/2012/3140. (Supersedes Fact Sheet 2009–3008.) \n\n","productDescription":"Fact Sheet: 7 p.: Data Excel File","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1900-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":264714,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/fs/2012/3140/fs2012-3140_data_file.xlsx","size":"61 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Use of Raw Materials in the United States From 1900 Through 2010"},{"id":264715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3140.gif"},{"id":264713,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3140/pdf/fs2012-3140.pdf","text":"Report","size":"1.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2012-3140"},{"id":264712,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3140/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","publicComments":"Supersedes Fact Sheet 2009–3008","contact":"<p><a href=\"http://minerals.usgs.gov/minerals\" data-mce-href=\"http://minerals.usgs.gov/minerals\">National Minerals Information Center</a><br>U.S. Geological Survey<br> 991 National Center<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192</p>","publishedDate":"2012-12-21","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"50d49682e4b0c6073c901f60","contributors":{"authors":[{"text":"Matos, Grecia R. 0000-0002-3285-3070 gmatos@usgs.gov","orcid":"https://orcid.org/0000-0002-3285-3070","contributorId":2656,"corporation":false,"usgs":true,"family":"Matos","given":"Grecia","email":"gmatos@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":515985,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042070,"text":"ofr20121270 - 2012 - Fish population and habitat analysis in Buck Creek, Washington, prior to recolonization by anadromous salmonids after the removal of Condit Dam","interactions":[],"lastModifiedDate":"2012-12-21T12:33:25","indexId":"ofr20121270","displayToPublicDate":"2012-12-21T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1270","title":"Fish population and habitat analysis in Buck Creek, Washington, prior to recolonization by anadromous salmonids after the removal of Condit Dam","docAbstract":"We assessed the physical and biotic conditions in the part of Buck Creek, Washington, potentially accessible to anadromous fishes. This creek is a major tributary to the White Salmon River upstream of Condit Dam, which was breached in October 2011. Habitat and fish populations were characterized in four stream reaches. Reach breaks were based on stream gradient, water withdrawals, and fish barriers. Buck Creek generally was confined, with a single straight channel and low sinuosity. Boulders and cobble were the dominant stream substrate, with limited gravel available for spawning. Large-cobble riffles were 83 percent of the available fish habitat. Pools, comprising 15 percent of the surface area, mostly were formed by bedrock with little instream cover and low complexity. Instream wood averaged 6—10 pieces per 100 meters, 80 percent of which was less than 50 centimeters in diameter. Water temperature in Buck Creek rarely exceeded 16 degrees Celsius and did so for only 1 day at river kilometer (rkm) 3 and 11 days at rkm 0.2 in late July and early August 2009. The maximum temperature recorded was 17.2 degrees Celsius at rkm 0.2 on August 2, 2009. Minimum summer discharge in Buck Creek was 3.3 cubic feet per second downstream of an irrigation diversion (rkm 3.1) and 7.7 cubic feet per second at its confluence with the White Salmon River. Rainbow trout (<i>Oncorhynchus mykiss</i>) was the dominant fish species in all reaches. The abundance of age-1 or older rainbow trout was similar between reaches. However, in 2009 and 2010, the greatest abundance of age-0 rainbow trout (8 fish per meter) was in the most downstream reach. These analyses in Buck Creek are important for understanding the factors that may limit fish abundance and productivity, and they will help identify and prioritize potential restoration actions. The data collected constitute baseline information of pre-dam removal conditions that will allow assessment of changes in fish populations now that Condit Dam has been removed and anadromous fish have an opportunity to recolonize Buck Creek.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121270","collaboration":"Prepared in cooperation with the Yakama Nation","usgsCitation":"Allen, M.B., Burkhardt, J., Munz, C., and Connolly, P., 2012, Fish population and habitat analysis in Buck Creek, Washington, prior to recolonization by anadromous salmonids after the removal of Condit Dam: U.S. Geological Survey Open-File Report 2012-1270, vi, 38 p., https://doi.org/10.3133/ofr20121270.","productDescription":"vi, 38 p.","numberOfPages":"48","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":264718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1270.jpg"},{"id":264717,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1270/pdf/ofr20121270.pdf"},{"id":264716,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1270/"}],"country":"United States","state":"Washington","otherGeospatial":"Buck Creek;Condit Dam;White Salmon River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.57,45.76 ], [ -121.57,45.85 ], [ -121.51,45.85 ], [ -121.51,45.76 ], [ -121.57,45.76 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d4cbcae4b0c6073c902059","contributors":{"authors":[{"text":"Allen, M. Brady","contributorId":18874,"corporation":false,"usgs":true,"family":"Allen","given":"M.","email":"","middleInitial":"Brady","affiliations":[],"preferred":false,"id":470736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkhardt, Jeanette","contributorId":15496,"corporation":false,"usgs":true,"family":"Burkhardt","given":"Jeanette","email":"","affiliations":[],"preferred":false,"id":470735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munz, Carrie","contributorId":98191,"corporation":false,"usgs":true,"family":"Munz","given":"Carrie","affiliations":[],"preferred":false,"id":470737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":470734,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042103,"text":"sir20125223 - 2012 - Sources and sinks of filtered total mercury and concentrations of total mercury of solids and of filtered methylmercury, Sinclair Inlet, Kitsap County, Washington, 2007-10","interactions":[],"lastModifiedDate":"2012-12-21T15:24:23","indexId":"sir20125223","displayToPublicDate":"2012-12-21T00:00:00","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":"2012-5223","title":"Sources and sinks of filtered total mercury and concentrations of total mercury of solids and of filtered methylmercury, Sinclair Inlet, Kitsap County, Washington, 2007-10","docAbstract":"The majority of filtered total mercury in the marine water of Sinclair Inlet originates from salt water flowing from Puget Sound. About 420 grams of filtered total mercury are added to Sinclair Inlet each year from atmospheric, terrestrial, and sedimentary sources, which has increased filtered total mercury concentrations in Sinclair Inlet (0.33 nanograms per liter) to concentrations greater than those of the Puget Sound (0.2 nanograms per liter). The category with the largest loading of filtered total mercury to Sinclair Inlet included diffusion of porewaters from marine sediment to the water column of Sinclair Inlet and discharge through the largest stormwater drain on the Bremerton naval complex, Bremerton, Washington. However, few data are available to estimate porewater and stormwater releases with any certainty. The release from the stormwater drain does not originate from overland flow of stormwater. Rather total mercury on soils is extracted by the chloride ions in seawater as the stormwater is drained and adjacent soils are flushed with seawater by tidal pumping. Filtered total mercury released by an unknown freshwater mechanism also was observed in the stormwater flowing through this drain.\n\nDirect atmospheric deposition on the Sinclair Inlet, freshwater discharge from creek and stormwater basins draining into Sinclair Inlet, and saline discharges from the dry dock sumps of the naval complex are included in the next largest loading category of sources of filtered total mercury. Individual discharges from a municipal wastewater treatment plant and from the industrial steam plant of the naval complex constituted the loading category with the third largest loadings. Stormwater discharge from the shipyard portion of the naval complex and groundwater discharge from the base are included in the loading category with the smallest loading of filtered total mercury.\n\nPresently, the origins of the solids depositing to the sediment of Sinclair Inlet are uncertain, and consequently, concentrations of sediments can be qualitatively compared only to total mercury concentrations of solids suspended in the water column. Concentrations of total mercury of suspended solids from creeks, stormwater, and even wastewater effluent discharging into greater Sinclair Inlet were comparable to concentrations of solids suspended in the water column of Sinclair Inlet. Concentrations of total mercury of suspended solids were significantly lower than those of marine bed sediment of Sinclair Inlet; these suspended solids have been shown to settle in Sinclair Inlet. The settling of suspended solids in the greater Sinclair Inlet and in Operable Unit B Marine of the naval complex likely will result in lower concentrations of total mercury in sediments. Such a decrease in total mercury concentrations was observed in the sediment of Operable Unit B Marine in 2010. However, total mercury concentrations of solids discharged from several sources from the Bremerton naval complex were higher than concentrations in sediment collected from Operable Unit B Marine. The combined loading of solids from these sources is small compared to the amount of solids depositing in OU B Marine. However, total mercury concentration in sediment collected at a monitoring station just offshore one of these sources, the largest stormwater drain on the Bremerton naval complex, increased considerably in 2010.\n\nLow methylmercury concentrations were detected in groundwater, stormwater, and effluents discharged from the Bremerton naval complex. The highest methylmercury concentrations were measured in the porewaters of highly reducing marine sediment in greater Sinclair Inlet. The marine sediment collected off the largest stormwater drain contained low concentrations of methylmercury in porewater because these sediments were not highly reducing.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125223","collaboration":"Prepared in cooperation with the Department of the Navy Naval Facilities Engineering Command, Northwest","usgsCitation":"Paulson, A.J., Dinicola, R., Noble, M.A., Wagner, R.J., Huffman, R.L., Moran, P.W., and DeWild, J.F., 2012, Sources and sinks of filtered total mercury and concentrations of total mercury of solids and of filtered methylmercury, Sinclair Inlet, Kitsap County, Washington, 2007-10: U.S. Geological Survey Scientific Investigations Report 2012-5223, xii, 94 p., https://doi.org/10.3133/sir20125223.","productDescription":"xii, 94 p.","numberOfPages":"110","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":264721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5223.jpg"},{"id":264719,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5223/"},{"id":264720,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5223/pdf/sir20125223.pdf"}],"datum":"North American Datum 1983","country":"United States","state":"Washington","county":"Kitsap","otherGeospatial":"Sinclair Inlet","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -12.035555555555556,8.333333333333334E-4 ], [ -12.035555555555556,0.001388888888888889 ], [ -12.03361111111111,0.001388888888888889 ], [ -12.03361111111111,8.333333333333334E-4 ], [ -12.035555555555556,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4cc6de4b0e8fec6ce1ea0","contributors":{"authors":[{"text":"Paulson, Anthony J. 0000-0002-2358-8834 apaulson@usgs.gov","orcid":"https://orcid.org/0000-0002-2358-8834","contributorId":5236,"corporation":false,"usgs":true,"family":"Paulson","given":"Anthony","email":"apaulson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":470766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dinicola, Richard S. 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":352,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard S.","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":470762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Richard J. rjwagner@usgs.gov","contributorId":3122,"corporation":false,"usgs":true,"family":"Wagner","given":"Richard","email":"rjwagner@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042046,"text":"sir20125259 - 2012 - Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009–10","interactions":[],"lastModifiedDate":"2012-12-21T10:16:44","indexId":"sir20125259","displayToPublicDate":"2012-12-21T00:00:00","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":"2012-5259","title":"Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009–10","docAbstract":"During 2009 and 2010, the U.S. Geological Survey’s Idaho National Laboratory Project Office, in cooperation with the U.S. Department of Energy, collected quarterly, depth-discrete measurements of fluid pressure and temperature in nine boreholes located in the eastern Snake River Plain aquifer. Each borehole was instrumented with a multilevel monitoring system consisting of a series of valved measurement ports, packer bladders, casing segments, and couplers. Multilevel monitoring at the Idaho National Laboratory has been ongoing since 2006. This report summarizes data collected from three multilevel monitoring wells installed during 2009 and 2010 and presents updates to six multilevel monitoring wells. Hydraulic heads (heads) and groundwater temperatures were monitored from 9 multilevel monitoring wells, including 120 hydraulically isolated depth intervals from 448.0 to 1,377.6 feet below land surface.\n\nQuarterly head and temperature profiles reveal unique patterns for vertical examination of the aquifer’s complex basalt and sediment stratigraphy, proximity to aquifer recharge and discharge, and groundwater flow. These features contribute to some of the localized variability even though the general profile shape remained consistent over the period of record. Major inflections in the head profiles almost always coincided with low-permeability sediment layers and occasionally thick sequences of dense basalt. However, the presence of a sediment layer or dense basalt layer was insufficient for identifying the location of a major head change within a borehole without knowing the true areal extent and relative transmissivity of the lithologic unit. Temperature profiles for boreholes completed within the Big Lost Trough indicate linear conductive trends; whereas, temperature profiles for boreholes completed within the axial volcanic high indicate mostly convective heat transfer resulting from the vertical movement of groundwater. Additionally, temperature profiles provide evidence for stratification and mixing of water types along the southern boundary of the Idaho National Laboratory.\n\nVertical head and temperature change were quantified for each of the nine multilevel monitoring systems. The vertical head gradients were defined for the major inflections in the head profiles and were as high as 2.1 feet per foot. Low vertical head gradients indicated potential vertical connectivity and flow, and large gradient inflections indicated zones of relatively low vertical connectivity. Generally, zones that primarily are composed of fractured basalt displayed relatively small vertical head differences. Large head differences were attributed to poor vertical connectivity between fracture units because of sediment layering and/or dense basalt. Groundwater temperatures in all boreholes ranged from 10.2 to 16.3˚C.\n\nNormalized mean hydraulic head values were analyzed for all nine multilevel monitoring wells for the period of record (2007-10). The mean head values suggest a moderately positive correlation among all boreholes, which reflects regional fluctuations in water levels in response to seasonality. However, the temporal trend is slightly different when the location is considered; wells located along the southern boundary, within the axial volcanic high, show a strongly positive correlation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125259","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Twining, B.V., and Fisher, J.C., 2012, Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2009–10: U.S. Geological Survey Scientific Investigations Report 2012-5259, Report: vii, 44 p.; Appendicies A-G, https://doi.org/10.3133/sir20125259.","productDescription":"Report: vii, 44 p.; Appendicies A-G","numberOfPages":"56","additionalOnlineFiles":"Y","ipdsId":"IP-034180","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":264704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5259.jpg"},{"id":264695,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5259/"},{"id":264696,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppA.pdf"},{"id":264697,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259.pdf"},{"id":264698,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppC.pdf"},{"id":264699,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppB.pdf"},{"id":264700,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppD.pdf"},{"id":264701,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppE.pdf"},{"id":264702,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppF.pdf"},{"id":264703,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5259/pdf/sir20125259_AppG.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,49.75 ], [ -112.25,49.75 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d49663e4b0c6073c901f4a","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201641,"text":"70201641 - 2012 - Distribution of regional pressure in the onshore and offshore Gulf of Mexico basin, USA","interactions":[],"lastModifiedDate":"2018-12-21T10:49:12","indexId":"70201641","displayToPublicDate":"2012-12-20T15:55:36","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Distribution of regional pressure in the onshore and offshore Gulf of Mexico basin, USA","docAbstract":"<p><span>The U.S. Geological Survey (USGS) has created a comprehensive geopressure-gradient model of the regional pressure system spanning the onshore and offshore portions of the Gulf of Mexico, USA. The model was used to generate ten maps: five contour maps (Maps 1A - 5A) characterize the depth to the surface defined by the first occurrence of isopressure-gradients ranging from 0.60 psi/ft to 1.00 psi/ft, in 0.10-psi/ft increments, and five supporting maps (Maps 1B - 5B) display the spatial density of the data used to construct the isopressure-gradient maps. The boundary of the geopressure-gradient model represents the maximum extent of the calculated pressure-gradient data. The regional investigation, however, encompassed an area defined by the USGS Upper Jurassic-Cretaceous-Tertiary Composite Total Petroleum System Boundary, and the availability of offshore data. A description of the geopressure-gradient model, including related mathematical derivations, the data-quality control methodology, linear pressure interpolation calculations, and contouring algorithms is provided by Burke et al. (in press [a]; in press [b]); these references, as well as a summary of the geopressure-gradient model, are supplied in the&nbsp;</span><a class=\"internal-link\" title=\"\" href=\"http://www.datapages.com/gis-map-publishing-program/gis-open-files/geographic/files/distributionregionalpressureburke.pdf\" target=\"_self\" data-mce-href=\"http://www.datapages.com/gis-map-publishing-program/gis-open-files/geographic/files/distributionregionalpressureburke.pdf\">online documentation</a><span>. &nbsp;</span></p>","language":"English","publisher":"American Association of Petroleum Geologists ","usgsCitation":"Burke, L.A., Kinney, S.A., Dubiel, R.F., and Pitman, J.K., 2012, Distribution of regional pressure in the onshore and offshore Gulf of Mexico basin, USA, Zip File.","productDescription":"Zip File","ipdsId":"IP-037050","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360555,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.datapages.com/gis-map-publishing-program/gis-open-files/geographic/distribution-of-regional-pressure-in-the-onshore-and-offshore-gulf-of-mexico-basin-usa"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.6904296875,\n              26.07652055985697\n            ],\n            [\n              -87.16552734375,\n              26.07652055985697\n            ],\n            [\n              -87.16552734375,\n              30.600093873550072\n            ],\n            [\n              -97.6904296875,\n              30.600093873550072\n            ],\n            [\n              -97.6904296875,\n              26.07652055985697\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c83838","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042207,"text":"70042207 - 2012 - Genetic structure of lake whitefish, Coregonus clupeaformis, populations in the northern main basin of Lake Huron","interactions":[],"lastModifiedDate":"2023-02-13T21:24:49.247142","indexId":"70042207","displayToPublicDate":"2012-12-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":656,"text":"Advances in Limnology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic structure of lake whitefish, <i>Coregonus clupeaformis</i>, populations in the northern main basin of Lake Huron","title":"Genetic structure of lake whitefish, Coregonus clupeaformis, populations in the northern main basin of Lake Huron","docAbstract":"Genetic analysis of spawning lake whitefish (<i>Coregonus clupeaformis</i>) from six sites in the main basin of Lake Huron was conducted to determine population structure. Samples from fisheryindependent assessment surveys in the northwest main basin were analyzed to determine the relative contributions of lake whitefish genetic populations. Genetic population structure was identified using data from seven microsatellite DNA loci. One population was identified at Manitoulin Island, one to two were observed in the east-central main basin (Fishing Island and Douglas Point), and one to two populations were found in the northwest (Thunder Bay and Duncan Bay). The genetic identity of collections from Duncan Bay and Thunder Bay was not consistent among methods used to analyze population structure. Low genetic distances suggested that they comprised one population, but genic differences indicated that they may constitute separate populations. Simulated data indicated that the genetic origins of samples from a mixed-fishery could be accurately identified, but accuracy could be improved by incorporating additional microsatellite loci. Mixture analysis and individual assignment tests performed on mixed-stock samples collected from the western main basin suggested that genetic populations from the east-central main basin contributed less than those from the western main basin and that the proportional contribution of each baseline population was similar in each assessment sample. Analysis of additional microsatellite DNA loci may be useful to help improve the precision of the estimates, thus increasing our ability to manage and protect this valuable resource.","language":"English","publisher":"Schweizerbart Science Publishers","doi":"10.1127/advlim/63/2012/241","usgsCitation":"Stott, W., Ebener, M.P., Mohr, L., Schaeffer, J., Roseman, E., Harford, W.J., Johnson, J.E., and Fietsch, C., 2012, Genetic structure of lake whitefish, Coregonus clupeaformis, populations in the northern main basin of Lake Huron: Advances in Limnology, v. 63, p. 241-260, https://doi.org/10.1127/advlim/63/2012/241.","productDescription":"20 p.","startPage":"241","endPage":"260","ipdsId":"IP-014526","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":265038,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, 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Wendylee","contributorId":8058,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","affiliations":[],"preferred":false,"id":470979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":470981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohr, Lloyd","contributorId":34001,"corporation":false,"usgs":true,"family":"Mohr","given":"Lloyd","affiliations":[],"preferred":false,"id":470982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, Jeff 0000-0003-3430-0872 jschaeffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3430-0872","contributorId":2041,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeff","email":"jschaeffer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roseman, Edward F.","contributorId":100334,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":470985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harford, William J.","contributorId":71078,"corporation":false,"usgs":true,"family":"Harford","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470984,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, James E.","contributorId":45668,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470983,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fietsch, Cherie-Lee","contributorId":11088,"corporation":false,"usgs":true,"family":"Fietsch","given":"Cherie-Lee","email":"","affiliations":[],"preferred":false,"id":470980,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70041973,"text":"tm7C7 - 2012 - Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization","interactions":[],"lastModifiedDate":"2012-12-20T09:12:25","indexId":"tm7C7","displayToPublicDate":"2012-12-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C7","title":"Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization","docAbstract":"The TSPROC (<u>T</u>ime <u>S</u>eries <u>PROC</u>essor) computer software uses a simple scripting language to process and analyze time series. It was developed primarily to assist in the calibration of environmental models. The software is designed to perform calculations on time-series data commonly associated with surface-water models, including calculation of flow volumes, transformation by means of basic arithmetic operations, and generation of seasonal and annual statistics and hydrologic indices. TSPROC can also be used to generate some of the key input files required to perform parameter optimization by means of the PEST (<u>P</u>arameter <u>EST</u>imation) computer software. Through the use of TSPROC, the objective function for use in the model-calibration process can be focused on specific components of a hydrograph.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C7","collaboration":"Great Lakes Restoration Initiative","usgsCitation":"Westenbroek, S.M., Doherty, J., Walker, J.F., Kelson, V.A., Hunt, R.J., and Cera, T.B., 2012, Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization: U.S. Geological Survey Techniques and Methods 7-C7, Report: viii, 101 p.; Download Software, https://doi.org/10.3133/tm7C7.","productDescription":"Report: viii, 101 p.; Download Software","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":264662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_c7.gif"},{"id":264659,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7c7/"},{"id":264661,"type":{"id":7,"text":"Companion Files"},"url":"https://wi.water.usgs.gov/models/tsproc/index.html"},{"id":264660,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm7c7/pdf/TM7_C7_112712.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391b7e4b062c7914ebd82","contributors":{"authors":[{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John","contributorId":43843,"corporation":false,"usgs":true,"family":"Doherty","given":"John","affiliations":[],"preferred":false,"id":470515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelson, Victor A.","contributorId":41713,"corporation":false,"usgs":true,"family":"Kelson","given":"Victor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cera, Timothy B.","contributorId":79771,"corporation":false,"usgs":true,"family":"Cera","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470516,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042024,"text":"sir20125237 - 2012 - Numerical model simulations of nitrate concentrations in groundwater using various nitrogen input scenarios, mid-Snake region, south-central Idaho","interactions":[],"lastModifiedDate":"2012-12-20T14:00:23","indexId":"sir20125237","displayToPublicDate":"2012-12-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5237","title":"Numerical model simulations of nitrate concentrations in groundwater using various nitrogen input scenarios, mid-Snake region, south-central Idaho","docAbstract":"As part of the U.S. Geological Survey’s National Water Quality Assessment (NAWQA) program nitrate transport in groundwater was modeled in the mid-Snake River region in south-central Idaho to project future concentrations of nitrate. Model simulation results indicated that nitrate concentrations would continue to increase over time, eventually exceeding the U.S. Environmental Protection Agency maximum contaminant level for drinking water of 10 milligrams per liter in some areas. A subregional groundwater model simulated the change of nitrate concentrations in groundwater over time in response to three nitrogen input scenarios: (1) nitrogen input fixed at 2008 levels; (2) nitrogen input increased from 2008 to 2028 using the same rate of increase as the average rate of increase during the previous 10 years (1998 through 2008); after 2028, nitrogen input is fixed at 2028 levels; and (3) nitrogen input related to agriculture completely halted, with only nitrogen input from precipitation remaining. Scenarios 1 and 2 project that nitrate concentrations in groundwater continue to increase from 10 to 50 years beyond the year nitrogen input is fixed, depending on the location in the model area. Projected nitrate concentrations in groundwater increase by as much as 2–4 milligrams per liter in many areas, with nitrate concentrations in some areas reaching 10 milligrams per liter. Scenario 3, although unrealistic, estimates how long (20–50 years) it would take nitrate in groundwater to return to background concentrations—the “flushing time” of the system. The amount of nitrate concentration increase cannot be explained solely by differences in nitrogen input; in fact, some areas with the highest amount of nitrogen input have the lowest increase in nitrate concentration. The geometry of the aquifer and the pattern of regional groundwater flow through the aquifer greatly influence nitrate concentrations. The aquifer thins toward discharge areas along the Snake River which forces upward convergence of good-quality regional groundwater that mixes with the nitrate-laden groundwater in the uppermost parts of the aquifer, which results in lowered nitrate concentrations. A new method of inputting nitrogen to the subregional groundwater model was used that prorates nitrogen input by the probability of detecting nitrate concentrations greater than 2 mg/L. The probability map is based on correlations with physical factors, and prorates an existing nitrogen input dataset providing an estimate of nitrogen flux to the water table that accounts for new factors such as soil properties. The effectiveness of this updated nitrogen input method was evaluated using the software UCODE_2005.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125237","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Skinner, K.D., and Rupert, M.G., 2012, Numerical model simulations of nitrate concentrations in groundwater using various nitrogen input scenarios, mid-Snake region, south-central Idaho: U.S. Geological Survey Scientific Investigations Report 2012-5237, viii, 30 p., https://doi.org/10.3133/sir20125237.","productDescription":"viii, 30 p.","numberOfPages":"42","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":264676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5237.jpg"},{"id":264674,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5237/"},{"id":264675,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5237/pdf/sir20125237.pdf"}],"datum":"North American Datum of 1983","country":"United States","state":"Idaho","otherGeospatial":"Mid-snake Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.50,42.25 ], [ -115.50,43.50 ], [ -112.50,43.50 ], [ -112.50,42.25 ], [ -115.50,42.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391d1e4b062c7914ebd99","contributors":{"authors":[{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470628,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042027,"text":"sir20125220 - 2012 - Use of classes based on redox and groundwater age to characterize the susceptibility of principal aquifers to changes in nitrate concentrations, 1991 to 2010","interactions":[],"lastModifiedDate":"2012-12-20T15:25:15","indexId":"sir20125220","displayToPublicDate":"2012-12-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5220","title":"Use of classes based on redox and groundwater age to characterize the susceptibility of principal aquifers to changes in nitrate concentrations, 1991 to 2010","docAbstract":"The National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey is using multiple approaches to measure and explain trends in concentrations of nitrate in principal aquifers of the United States. Near decadal sampling of selected well networks is providing information on where long-term changes in nitrate concentrations have occurred. Because those studies do not include all the NAWQA well networks, a determination has yet to be made as to what might be expected in networks from which timeseries data have not been collected. Characterizing aquifer susceptibility to changes in nitrate concentrations on the basis of data collected from all the NAWQA well networks would be a step toward extrapolating findings from those studies to broader regions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125220","collaboration":"National Water-Quality Assessment Program","usgsCitation":"McMahon, P., 2012, Use of classes based on redox and groundwater age to characterize the susceptibility of principal aquifers to changes in nitrate concentrations, 1991 to 2010: U.S. Geological Survey Scientific Investigations Report 2012-5220, vii, 40 p., https://doi.org/10.3133/sir20125220.","productDescription":"vii, 40 p.","numberOfPages":"51","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":264679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5220.gif"},{"id":264677,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5220/"},{"id":264678,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5220/sir2012-5220.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391dee4b062c7914ebda5","contributors":{"authors":[{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":470630,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042036,"text":"ds723 - 2012 - Chemicals of emerging concern in water and bottom sediment in Great Lakes areas of concern, 2010 to 2011-Collection methods, analyses methods, quality assurance, and data","interactions":[],"lastModifiedDate":"2012-12-20T16:17:12","indexId":"ds723","displayToPublicDate":"2012-12-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"723","title":"Chemicals of emerging concern in water and bottom sediment in Great Lakes areas of concern, 2010 to 2011-Collection methods, analyses methods, quality assurance, and data","docAbstract":"The U.S. Geological Survey (USGS) cooperated with the U.S. Environmental Protection Agency and the U.S. Fish and Wildlife Service on a study to identify the occurrence of chemicals of emerging concern (CECs) in water and bottom-sediment samples collected during 2010–11 at sites in seven areas of concern (AOCs) throughout the Great Lakes. Study sites include tributaries to the Great Lakes in AOCs located near Duluth, Minn.; Green Bay, Wis.; Roches­ter, N.Y.; Detroit, Mich.; Toledo, Ohio; Milwaukee, Wis.; and Ashtabula, Ohio. This report documents the collection meth­ods, analyses methods, quality-assurance data and analyses, and provides the data for this study. Water and bottom-sediment samples were analyzed at the USGS National Water Quality Laboratory in Denver, Colo., for a broad suite of CECs. During this study, 135 environmental and 23 field dupli­cate samples of surface water and wastewater effluent, 10 field blank water samples, and 11 field spike water samples were collected and analyzed. Sixty-one of the 69 wastewater indicator chemicals (laboratory method 4433) analyzed were detected at concentrations ranging from 0.002 to 11.2 micrograms per liter. Twenty-eight of the 48 pharmaceuticals (research method 8244) analyzed were detected at concentrations ranging from 0.0029 to 22.0 micro­grams per liter. Ten of the 20 steroid hormones and sterols analyzed (research method 4434) were detected at concentrations ranging from 0.16 to 10,000 nanograms per liter. During this study, 75 environmental, 13 field duplicate samples, and 9 field spike samples of bottom sediment were collected and analyzed for a wide variety of CECs. Forty-seven of the 57 wastewater indicator chemicals (laboratory method 5433) analyzed were detected at concentrations ranging from 0.921 to 25,800 nanograms per gram. Seventeen of the 20 steroid hormones and sterols (research method 6434) analyzed were detected at concentrations ranging from 0.006 to 8,921 nanograms per gram. Twelve of the 20 pharmaceuticals (research method 8244) analyzed were detected at concentrations ranging from 2.35 to 453.5 nanograms per gram. Six of the 11 antidepressants (research method 9008) analyzed were detected at concentrations ranging from 2.79 to 91.6 nanograms per gram.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds723","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the U.S. Environmental Protection Agency","usgsCitation":"Lee, K., Langer, S.K., Menheer, M.A., Foreman, W., Furlong, E.T., and Smith, S.G., 2012, Chemicals of emerging concern in water and bottom sediment in Great Lakes areas of concern, 2010 to 2011-Collection methods, analyses methods, quality assurance, and data: U.S. Geological Survey Data Series 723, Report: v, 26 p.; Downloads Directory, https://doi.org/10.3133/ds723.","productDescription":"Report: v, 26 p.; Downloads Directory","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":264683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_723.gif"},{"id":264680,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/723/"},{"id":264682,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/723/downloads/"},{"id":264681,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/723/DS723.pdf"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 0.0025,0.0011111111111111111 ], [ 0.0025,0.001388888888888889 ], [ 0.0019444444444444444,0.001388888888888889 ], [ 0.0019444444444444444,0.0011111111111111111 ], [ 0.0025,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391bce4b062c7914ebd86","contributors":{"authors":[{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":470646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langer, Susan K. slanger@usgs.gov","contributorId":107824,"corporation":false,"usgs":true,"family":"Langer","given":"Susan","email":"slanger@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":false,"id":470648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menheer, Michael A. menheer@usgs.gov","contributorId":3042,"corporation":false,"usgs":true,"family":"Menheer","given":"Michael","email":"menheer@usgs.gov","middleInitial":"A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":470644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":470643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Steven G. sgsmith@usgs.gov","contributorId":1560,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"sgsmith@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":470645,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041934,"text":"sir20125122 - 2012 - Simulation of groundwater flow and hydrologic effects of groundwater withdrawals from the Kirkwood-Cohansey aquifer system in the Pinelands of southern New Jersey","interactions":[],"lastModifiedDate":"2012-12-19T13:01:59","indexId":"sir20125122","displayToPublicDate":"2012-12-19T00:00:00","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":"2012-5122","title":"Simulation of groundwater flow and hydrologic effects of groundwater withdrawals from the Kirkwood-Cohansey aquifer system in the Pinelands of southern New Jersey","docAbstract":"The Kirkwood-Cohansey aquifer system is an important source of present and future water supply in southern New Jersey. Because this unconfined aquifer system also supports sensitive wetland and aquatic habitats within the New Jersey Pinelands (Pinelands), water managers and policy makers need up-to-date information, data, and projections that show the effects of potential increases in groundwater withdrawals on these habitats. Finite-difference groundwater flow models (MODFLOW) were constructed for three drainage basins (McDonalds Branch Basin, 14.3 square kilometers (km<sup>2</sup>); Morses Mill Stream Basin, 21.63 km<sup>2</sup>; and Albertson Brook Basin, 52.27 km<sup>2</sup>) to estimate the effects of potential increases in groundwater withdrawals on water levels and the base-flow portion of streamflow, in wetland and aquatic habitats. Three models were constructed for each drainage basin: a transient model consisting of twenty-four 1-month stress periods (October 2004 through September 2006); a transient model to simulate the 5- to 10-day aquifer tests that were performed as part of the study; and a high-resolution, steady-state model used to assess long-term effects of increased groundwater withdrawals on water levels in wetlands and on base flow. All models were constructed with the same eight-layer structure. The smallest horizontal cell dimensions among the three model areas were 150 meters (m) for the 24-month transient models, 10 m for the steady-state models, and 3 m for the transient aquifer-test models. Boundary flows of particular interest to this study and represented separately are those for wetlands, streams, and evapotranspiration. The final variables calibrated from both transient models were then used in steady-state models to assess the long-term effects of increased groundwater withdrawals on water levels in wetlands and on base flow. Results of aquifer tests conducted in the three study areas illustrate the effects of withdrawals on water levels in wetlands and on base flow. Pumping stresses at aquifer-test sites resulted in measurable drawdown in each observation well installed for the tests. The magnitude of drawdown in shallow wetland observation wells at the end of pumping ranged from 5.5 to 16.7 centimeters (cm). The stresses induced by the respective tests reduced the flow of the smallest stream (McDonalds Branch) by 75 percent and slightly reduced flow in a side channel of Morses Mill Stream, but did not measurably affect the flow of Morses Mill Stream or Albertson Brook. Results of aquifer-test simulations were used to refine the estimates of hydraulic properties used in the models and to confirm the ability of the model to replicate observed hydrologic responses to pumping. Steady-state sensitivity simulation results for a variety of single well locations and depths were used to define overall “best-case” (smallest effect on wetland water levels and base flow) and “worst-case” (greatest effect on wetland water levels and base flow) groundwater withdrawal configurations. “Best-case” configurations are those for which the extent of the wetland areas within a 1-kilometer (km) radius of the withdrawal well is minimized, the well is located at least 100 m and as far from wetland boundaries as possible, and the withdrawal is from a deep well (50–90 m deep). “Worst-case” configurations are those for which the extent of wetlands within a 1-km radius of the withdrawal well is maximized, the well is located 100 m or less from a wetland boundary, and the withdrawal is from a relatively shallow well (30–67 m deep). “Best-” and “worst-case” simulations were applied by locating hypothetical wells across the study areas and assigning groundwater withdrawals so that the sum of the withdrawals for the basin is equal to 5, 10, 15, and 30 percent of overall recharge. The results were compared to the results of simulations of no groundwater withdrawals. Results for withdrawals of 5 percent of recharge show that the area of wetland water-level decline that exceeded 15 cm was as much as 1.5 percent of the total wetland area for the “best-case” simulations and as much as 9.7 percent of the total wetland area for the “worst-case” simulations. For the same withdrawals, base-flow reduction was as much as 5.1 percent for the “best-case” simulations and as much as 8.6 percent for the “worst-case” simulations. Results for withdrawals of 30 percent of recharge show that the area of wetland water-level decline that exceeded 15 cm was as much as 70 percent of the total wetland area for the “best-case” simulations and as much as 84 percent of the total wetland area for the “worst-case” simulations. For the same withdrawals, base-flow reduction was as much as 30 percent for the “best-case” simulations and as much as 51 percent for the “worst-case” simulations. Results for withdrawals of 10 and 15 percent of recharge show decreased water levels and base flow that are intermediate between those simulated for 5 and 30 percent of recharge. Several approaches for applying the results of this study to other parts of the Pinelands were explored. An analytical-modeling technique based on the Thiem equation and image-well theory was developed to estimate local drawdown distributions resulting from withdrawals in other areas within the Pinelands. Results of example applications of this technique were compared with those of the numerical simulations used in this study and were shown to be useful. Differences among the three basins in the simulated percentage of basin wetlands affected by drawdown were found to be related to the proximity of wetlands to streams, the proximity of wetlands to pumped wells, and the vertical conductance of the aquifer system. These factors formed the basis for an index of wetland vulnerability to drawdown. An empirically-derived model based on the Gompertz function and the wetland vulnerability index was developed, tested, and shown to be an effective means to evaluate potential drawdown in wetlands at a basin scale throughout the Pinelands. Base-flow reduction can be estimated from generalized results of the numerical models, estimates of evapotranspiration reduction, or available regional groundwater flow models. These approaches could be used to evaluate alternative water-supply strategies and, in conjunction with ecological-modeling results, to determine maximum basin withdrawal rates within the limits of acceptable ecological change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125122","collaboration":"Prepared in cooperation with the New Jersey Pinelands Commission","usgsCitation":"Charles, E.G., and Nicholson, R.S., 2012, Simulation of groundwater flow and hydrologic effects of groundwater withdrawals from the Kirkwood-Cohansey aquifer system in the Pinelands of southern New Jersey: U.S. Geological Survey Scientific Investigations Report 2012-5122, xviii, 219 p.; col. ill.; maps (col.); Apendices: 1-2, https://doi.org/10.3133/sir20125122.","productDescription":"xviii, 219 p.; col. ill.; maps (col.); Apendices: 1-2","startPage":"i","endPage":"219","numberOfPages":"242","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":264138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5122.png"},{"id":264136,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5122/"},{"id":264137,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5122/support/sir2012-5122.pdf"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5598,38.9286 ], [ -75.5598,41.3574 ], [ -73.9025,41.3574 ], [ -73.9025,38.9286 ], [ -75.5598,38.9286 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391d5e4b062c7914ebd9d","contributors":{"authors":[{"text":"Charles, Emmanuel G. 0000-0002-3338-4958 echarles@usgs.gov","orcid":"https://orcid.org/0000-0002-3338-4958","contributorId":4280,"corporation":false,"usgs":true,"family":"Charles","given":"Emmanuel","email":"echarles@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Robert S. rnichol@usgs.gov","contributorId":2283,"corporation":false,"usgs":true,"family":"Nicholson","given":"Robert","email":"rnichol@usgs.gov","middleInitial":"S.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041944,"text":"70041944 - 2012 - Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds","interactions":[],"lastModifiedDate":"2012-12-19T16:04:24","indexId":"70041944","displayToPublicDate":"2012-12-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds","docAbstract":"Knowledge about the spatial distribution of seabirds at sea is important for conservation.  During marine conservation planning, logistical constraints preclude seabird surveys covering the complete area of interest and spatial distribution of seabirds is frequently inferred from predictive statistical models.  Increasingly complex models are available to relate the distribution and abundance of pelagic seabirds to environmental variables, but a comparison of their usefulness for delineating protected areas for seabirds is lacking.  Here we compare the performance of five modelling techniques (generalised linear models, generalised additive models, Random Forest, boosted regression trees, and maximum entropy) to predict the distribution of Balearic Shearwaters (<i>Puffinus mauretanicus</i>) along the coast of the western Iberian Peninsula.  We used ship transect data from 2004 to 2009 and 13 environmental variables to predict occurrence and density, and evaluated predictive performance of all models using spatially segregated test data.  Predicted distribution varied among the different models, although predictive performance varied little.  An ensemble prediction that combined results from all five techniques was robust and confirmed the existence of marine important bird areas for Balearic Shearwaters in Portugal and Spain.  Our predictions suggested additional areas that would be of high priority for conservation and could be proposed as protected areas.  Abundance data were extremely difficult to predict, and none of five modelling techniques provided a reliable prediction of spatial patterns.  We advocate the use of ensemble modelling that combines the output of several methods to predict the spatial distribution of seabirds, and use these predictions to target separate surveys assessing the abundance of seabirds in areas of regular use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2011.11.013","usgsCitation":"O’Connell, A.F., Gardner, B., Oppel, S., Meirinho, A., Ramírez, I., Miller, P.I., and Louzao, M., 2012, Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds: Biological Conservation, v. 156, p. 94-104, https://doi.org/10.1016/j.biocon.2011.11.013.","productDescription":"11 p.","startPage":"94","endPage":"104","ipdsId":"IP-034010","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474198,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10508/8494","text":"External Repository"},{"id":264652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264651,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2011.11.013"}],"country":"Portugal;Spain","volume":"156","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391c0e4b062c7914ebd8a","contributors":{"authors":[{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":470420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":470426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oppel, Steffen","contributorId":44432,"corporation":false,"usgs":true,"family":"Oppel","given":"Steffen","affiliations":[],"preferred":false,"id":470424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meirinho, Ana","contributorId":54480,"corporation":false,"usgs":true,"family":"Meirinho","given":"Ana","email":"","affiliations":[],"preferred":false,"id":470425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramírez, Iván","contributorId":16724,"corporation":false,"usgs":true,"family":"Ramírez","given":"Iván","affiliations":[],"preferred":false,"id":470421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Peter I.","contributorId":31645,"corporation":false,"usgs":true,"family":"Miller","given":"Peter","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":470423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Louzao, Maite","contributorId":30884,"corporation":false,"usgs":true,"family":"Louzao","given":"Maite","email":"","affiliations":[],"preferred":false,"id":470422,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70041960,"text":"ofr20121254 - 2012 - Vitrinite reflectance data for Cretaceous marine shales and coals in the Bighorn Basin, north-central Wyoming and south-central Montana","interactions":[],"lastModifiedDate":"2012-12-19T16:05:43","indexId":"ofr20121254","displayToPublicDate":"2012-12-19T00:00:00","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":"2012-1254","title":"Vitrinite reflectance data for Cretaceous marine shales and coals in the Bighorn Basin, north-central Wyoming and south-central Montana","docAbstract":"The Bighorn Basin is a large Laramide (Late Cretaceous through Eocene) structural and sedimentary basin that encompasses about 10,400 square miles in north-central Wyoming and south-central Montana. The purpose of this report is to present new vitrinite reflectance data collected from Cretaceous marine shales and coals in the Bighorn Basin to better characterize the thermal maturity and petroleum potential of these rocks. Ninety-eight samples from Lower Cretaceous and lowermost Upper Cretaceous strata were collected from well cuttings from wells stored at the U.S. Geological Survey (USGS) Core Research Center in Lakewood, Colorado.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121254","usgsCitation":"Pawlewicz, M.J., and Finn, T.M., 2012, Vitrinite reflectance data for Cretaceous marine shales and coals in the Bighorn Basin, north-central Wyoming and south-central Montana: U.S. Geological Survey Open-File Report 2012-1254, iii, 11 p.; col. ill.; map (col.), https://doi.org/10.3133/ofr20121254.","productDescription":"iii, 11 p.; col. ill.; map (col.)","startPage":"i","endPage":"11","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":264655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1254.gif"},{"id":264653,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1254/"},{"id":264654,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1254/OF12-1254.pdf"}],"country":"United States","state":"Wyoming;Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,40.9947 ], [ -116.05,49.0 ], [ -104.04,49.0 ], [ -104.04,40.9947 ], [ -116.05,40.9947 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391e2e4b062c7914ebda9","contributors":{"authors":[{"text":"Pawlewicz, Mark J. pawlewicz@usgs.gov","contributorId":752,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"Mark","email":"pawlewicz@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":470478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":470479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041900,"text":"ds715 - 2012 - Hydrologic and geochemical data collected near Skewed Reservoir, an impoundment for coal-bed natural gas produced water, Powder River Basin, Wyoming","interactions":[],"lastModifiedDate":"2012-12-18T17:35:33","indexId":"ds715","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"715","title":"Hydrologic and geochemical data collected near Skewed Reservoir, an impoundment for coal-bed natural gas produced water, Powder River Basin, Wyoming","docAbstract":"The Powder River Structural Basin is one of the largest producers of coal-bed natural gas (CBNG) in the United States. An important environmental concern in the Basin is the fate of groundwater that is extracted during CBNG production. Most of this produced water is disposed of in unlined surface impoundments. A 6-year study of groundwater flow and subsurface water and soil chemistry was conducted at one such impoundment, Skewed Reservoir. Hydrologic and geochemical data collected as part of that study are contained herein. Data include chemistry of groundwater obtained from a network of 21 monitoring wells and three suction lysimeters and chemical and physical properties of soil cores including chemistry of water/soil extracts, particle-size analyses, mineralogy, cation-exchange capacity, soil-water content, and total carbon and nitrogen content of soils.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds715","collaboration":"Prepared in cooperation with the Bureau of Land Management.  The Downloads Directory contains 16 appendixes, numbering 1-5, 6A-6F, 7-11.  Please see the \"View companion files\" link above for access to these appendixes.","usgsCitation":"Healy, R.W., Rice, C.A., and Bartos, T.T., 2012, Hydrologic and geochemical data collected near Skewed Reservoir, an impoundment for coal-bed natural gas produced water, Powder River Basin, Wyoming: U.S. Geological Survey Data Series 715, Report: iv, 6 p.; Downloads Directory, https://doi.org/10.3133/ds715.","productDescription":"Report: iv, 6 p.; Downloads Directory","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-07-01","temporalEnd":"2005-05-31","costCenters":[{"id":440,"text":"National Research Program Water Resources","active":false,"usgs":true}],"links":[{"id":264124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_715.gif"},{"id":264121,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/715/"},{"id":264123,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/715/downloads/"},{"id":264122,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/715/DS715_508.pdf"}],"country":"United States","state":"Wyoming","otherGeospatial":"Poweder River;Skewed Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.120833,44.113611 ], [ -106.120833,44.120833 ], [ -106.113889,44.120833 ], [ -106.113889,44.113611 ], [ -106.120833,44.113611 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20b8ee4b08b071e771b1d","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":470340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Cynthia A.","contributorId":87140,"corporation":false,"usgs":true,"family":"Rice","given":"Cynthia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":470341,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041865,"text":"ofr20121196 - 2012 - Groundwater, surface-water, and water-chemistry data from C-aquifer monitoring program, northeastern Arizona, 2005-11","interactions":[],"lastModifiedDate":"2021-07-14T21:11:24.234624","indexId":"ofr20121196","displayToPublicDate":"2012-12-18T00:00:00","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":"2012-1196","displayTitle":"Groundwater, Surface-Water, and Water-Chemistry Data from C-aquifer Monitoring Program, Northeastern Arizona, 2005-11","title":"Groundwater, surface-water, and water-chemistry data from C-aquifer monitoring program, northeastern Arizona, 2005-11","docAbstract":"<p>The C aquifer is a regionally extensive multiple-aquifer system supplying water for municipal, agricultural, and industrial use in northeastern Arizona, northwestern New Mexico, and southeastern Utah. An increase in groundwater withdrawals from the C aquifer coupled with ongoing drought conditions in the study area increase the potential for drawdown within the aquifer. A decrease in the water table and potentiometric surface of C aquifer is illustrated locally by the drying up of Obed Meadows, a natural peat deposit, and Hugo Meadows, a natural wetland, both south of Joseph City, Arizona. Continual increase in water use from the C aquifer, including a planned increase in pumpage by the City of Flagstaff, is justification for continued monitoring of the C-aquifer system in order to quantify physical and chemical responses to pumping stresses.</p>\n<p>Fifteen of the 35 C-aquifer wells analyzed had water-level data sufficient for percentage difference calculation for 2005&ndash;11. Change in water level as a percentage of the initial water-level measurement for these 15 wells ranged from about -0.2 to about -0.5 percent. For historical water-level data, changes in water levels were greatest around pumping centers, as indicated by a -97.0 feet (percentage difference of -16.5 percent) change over the period of record (1962&ndash;2005) for the Lake Mary 1 Well near Flagstaff, Arizona. In more rural areas of the C aquifer, water levels showed less change for both the temporal focus of this report (2005&ndash;11) and for historical values.</p>\n<p>Continuous records of surface-water discharge from 2005 to 2007 for three discontinued streamflow-gaging stations (Clear Creek near Winslow, AZ, 09399000; Clear Creek below McHood Lake near Winslow, AZ, 09399100; and Chevelon Creek near Winslow, AZ, 09398000) were tabulated. For the period of record, Clear Creek near Winslow, AZ, and Chevelon Creek near Winslow, AZ, showed seasonal discharge distributions indicative of natural streams in the southwestern United States. Clear Creek below McHood Lake near Winslow, AZ, showed discharge distribution indicative of perennial spring flow with little variation annually.</p>\n<p>Physical and chemical data collected during four baseflow investigations (summer 2005, summer 2006, summer 2008, and winter 2010) conducted on Clear Creek, Chevelon Creek, and a portion of the Little Colorado River were compiled and analyzed. Data from 7 sampling sites established on the Little Colorado River, 11 sites along Chevelon Creek, and 14 sites along Clear Creek were included. For the four baseflow investigations presented, a 2,000&ndash;3,000 microsiemens per centimeter increase in specific conductance was measured in Chevelon Creek from near its headwaters to the confluence with the Little Colorado River because of the contribution of highly conductive spring discharge. Clear Creek showed a less consistent pattern of increase in specific conductance with distance, but still exhibited changes on the order of 5,000 microsiemens per centimeter over just a few river miles.</p>\n<p>Water-chemistry data for selected wells and baseflow investigations sites are presented. No well samples analyzed exceeded the U.S. Environmental Protection Agency Maximum Contaminant Level standards for drinking water, but several samples exceeded Secondary Maximum Contaminant Level standards for chloride, fluoride, sulfate, iron, and total dissolved solids.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121196","collaboration":"Prepared in cooperation with the Bureau of Indian Affairs","usgsCitation":"Brown, C.R., and Macy, J.P., 2012, Groundwater, surface-water, and water-chemistry data from C-aquifer monitoring program, northeastern Arizona, 2005-11 (Version 1.0: Originally posted December 2012; Version 1.1: March 2013): U.S. Geological Survey Open-File Report 2012-1196, vi, 38 p., https://doi.org/10.3133/ofr20121196.","productDescription":"vi, 38 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":264092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1196.gif"},{"id":269267,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1196/"},{"id":269268,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1196/of2012-1196.pdf"}],"scale":"100000","projection":"Lambert Conformal Conic projection","country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.7913818359375,\n              34.384246040152206\n            ],\n            [\n              -111.7913818359375,\n              35.98245135784044\n            ],\n            [\n              -109.1766357421875,\n              35.98245135784044\n            ],\n            [\n              -109.1766357421875,\n              34.384246040152206\n            ],\n            [\n              -111.7913818359375,\n              34.384246040152206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted December 2012; Version 1.1: March 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20b86e4b08b071e771b19","contributors":{"authors":[{"text":"Brown, Christopher R. crbrown@usgs.gov","contributorId":4751,"corporation":false,"usgs":true,"family":"Brown","given":"Christopher","email":"crbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041880,"text":"ofr20121251 - 2012 - Updates to watershed modeling in the Potholes Reservoir basin, Washington-a supplement to Scientific Investigation Report 2009-5081","interactions":[],"lastModifiedDate":"2012-12-18T14:27:18","indexId":"ofr20121251","displayToPublicDate":"2012-12-18T00:00:00","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":"2012-1251","title":"Updates to watershed modeling in the Potholes Reservoir basin, Washington-a supplement to Scientific Investigation Report 2009-5081","docAbstract":"A previous collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation resulted in a watershed model for four watersheds that discharge into Potholes Reservoir, Washington. Since the model was constructed, two new meteorological sites have been established that provide more reliable real-time information. The Bureau of Reclamation was interested in incorporating this new information into the existing watershed model developed in 2009, and adding measured snowpack information to update simulated results and to improve forecasts of runoff. This report includes descriptions of procedures to aid a user in making model runs, including a description of the Object User Interface for the watershed model with details on specific keystrokes to generate model runs for the contributing basins. A new real-time, data-gathering computer program automates the creation of the model input files and includes the new meteorological sites. The 2009 watershed model was updated with the new sites and validated by comparing simulated results to measured data. As in the previous study, the updated model (2012 model) does a poor job of simulating individual storms, but a reasonably good job of simulating seasonal runoff volumes. At three streamflow-gaging stations, the January 1 to June 30 retrospective forecasts of runoff volume for years 2010 and 2011 were within 40 percent of the measured runoff volume for five of the six comparisons, ranging from -39.4 to 60.3 percent difference. A procedure for collecting measured snowpack data and using the data in the watershed model for forecast model runs, based on the Ensemble Streamflow Prediction method, is described, with an example that uses 2004 snow-survey data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121251","collaboration":"For additional information see <a href=\"http://pubs.er.usgs.gov/publication/sir20095081\" target=\"_blank\">SIR 2009-5081</a>.","usgsCitation":"Mastin, M., 2012, Updates to watershed modeling in the Potholes Reservoir basin, Washington-a supplement to Scientific Investigation Report 2009-5081: U.S. Geological Survey Open-File Report 2012-1251, vii, 52 p., https://doi.org/10.3133/ofr20121251.","productDescription":"vii, 52 p.","numberOfPages":"59","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":264116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1251.jpg"},{"id":264114,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1251/"},{"id":264115,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1251/pdf/ofr20121251.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Potholes Reservoir Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.50,47.83 ], [ -119.50,48.16 ], [ -117.83,48.16 ], [ -117.83,47.83 ], [ -119.50,47.83 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20bb4e4b08b071e771b3c","contributors":{"authors":[{"text":"Mastin, Mark","contributorId":41312,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","affiliations":[],"preferred":false,"id":470286,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041920,"text":"sir20125236 - 2012 - Numerical simulation of groundwater movement and managed aquifer recharge from Sand Hollow Reservoir, Hurricane Bench area, Washington County, Utah","interactions":[],"lastModifiedDate":"2017-01-04T10:28:36","indexId":"sir20125236","displayToPublicDate":"2012-12-18T00:00:00","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":"2012-5236","title":"Numerical simulation of groundwater movement and managed aquifer recharge from Sand Hollow Reservoir, Hurricane Bench area, Washington County, Utah","docAbstract":"<p>The Hurricane Bench area of Washington County, Utah, is a 70 square-mile area extending south from the Virgin River and encompassing Sand Hollow basin. Sand Hollow Reservoir, located on Hurricane Bench, was completed in March 2002 and is operated primarily as a managed aquifer recharge project by the Washington County Water Conservancy District. The reservoir is situated on a thick sequence of the Navajo Sandstone and Kayenta Formation. Total recharge to the underlying Navajo aquifer from the reservoir was about 86,000 acre-feet from 2002 to 2009. Natural recharge as infiltration of precipitation was approximately 2,100 acre-feet per year for the same period. Discharge occurs as seepage to the Virgin River, municipal and irrigation well withdrawals, and seepage to drains at the base of reservoir dams. Within the Hurricane Bench area, unconfined groundwater-flow conditions generally exist throughout the Navajo Sandstone. Navajo Sandstone hydraulic-conductivity values from regional aquifer testing range from 0.8 to 32 feet per day. The large variability in hydraulic conductivity is attributed to bedrock fractures that trend north-northeast across the study area.</p><p>A numerical groundwater-flow model was developed to simulate groundwater movement in the Hurricane Bench area and to simulate the movement of managed aquifer recharge from Sand Hollow Reservoir through the groundwater system. The model was calibrated to combined steady- and transient-state conditions. The steady-state portion of the simulation was developed and calibrated by using hydrologic data that represented average conditions for 1975. The transient-state portion of the simulation was developed and calibrated by using hydrologic data collected from 1976 to 2009. Areally, the model grid was 98 rows by 76 columns with a variable cell size ranging from about 1.5 to 25 acres. Smaller cells were used to represent the reservoir to accurately simulate the reservoir bathymetry and nearby monitoring wells; larger cells were used in the northern and southern portions of the model where water-level data were limited. Vertically, the aquifer system was divided into 10 layers, which incorporated the Navajo Sandstone and Kayenta Formation. The model simulated recharge to the groundwater system as natural infiltration of precipitation and as infiltration of managed aquifer recharge from Sand Hollow Reservoir. Groundwater discharge was simulated as well withdrawals, shallow drains at the base of reservoir dams, and seepage to the Virgin River. During calibration, variables were adjusted within probable ranges to minimize differences among model-simulated and observed water levels, groundwater travel times, drain discharges, and monthly estimated reservoir recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125236","collaboration":"Prepared in cooperation with the Washington County Water Conservancy District","usgsCitation":"Marston, T.M., and Heilweil, V.M., 2012, Numerical simulation of groundwater movement and managed aquifer recharge from Sand Hollow Reservoir, Hurricane Bench area, Washington County, Utah: U.S. Geological Survey Scientific Investigations Report 2012-5236, vi, 34 p., https://doi.org/10.3133/sir20125236.","productDescription":"vi, 34 p.","numberOfPages":"44","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":264131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5236.jpg"},{"id":264129,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5236/"},{"id":264130,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5236/pdf/sir20125236.pdf"}],"country":"United States","state":"Utah","county":"Washington County","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.39374,37.101658 ], [ -113.39374,37.127394 ], [ -113.35936,37.127394 ], [ -113.35936,37.101658 ], [ -113.39374,37.101658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20bace4b08b071e771b34","contributors":{"authors":[{"text":"Marston, Thomas M. 0000-0003-1053-4172 tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041946,"text":"70041946 - 2012 - Large-scale monitoring of shorebird populations using count data and N-mixture models: Black Oystercatcher (<i>Haematopus bachmani</i>) surveys by land and sea","interactions":[],"lastModifiedDate":"2017-11-21T15:46:12","indexId":"70041946","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale monitoring of shorebird populations using count data and N-mixture models: Black Oystercatcher (<i>Haematopus bachmani</i>) surveys by land and sea","docAbstract":"Large-scale monitoring of bird populations is often based on count data collected across spatial scales that may include multiple physiographic regions and habitat types. Monitoring at large spatial scales may require multiple survey platforms (e.g., from boats and land when monitoring coastal species) and multiple survey methods. It becomes especially important to explicitly account for detection probability when analyzing count data that have been collected using multiple survey platforms or methods. We evaluated a new analytical framework, <i>N</i>-mixture models, to estimate actual abundance while accounting for multiple detection biases. During May 2006, we made repeated counts of Black Oystercatchers (<i>Haematopus bachmani</i>) from boats in the Puget Sound area of Washington (<i>n</i> = 55 sites) and from land along the coast of Oregon (<i>n</i> = 56 sites). We used a Bayesian analysis of N-mixture models to (1) assess detection probability as a function of environmental and survey covariates and (2) estimate total Black Oystercatcher abundance during the breeding season in the two regions. Probability of detecting individuals during boat-based surveys was 0.75 (95% credible interval: 0.42–0.91) and was not influenced by tidal stage. Detection probability from surveys conducted on foot was 0.68 (0.39–0.90); the latter was not influenced by fog, wind, or number of observers but was ~35% lower during rain. The estimated population size was 321 birds (262–511) in Washington and 311 (276–382) in Oregon. N-mixture models provide a flexible framework for modeling count data and covariates in large-scale bird monitoring programs designed to understand population change.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2012.11253","usgsCitation":"Lyons, J., Andrew, R.J., Thomas, S.M., Elliott-Smith, E., Evenson, J.R., Kelly, E.G., Milner, R.L., Nysewander, D.R., and Andres, B.A., 2012, Large-scale monitoring of shorebird populations using count data and N-mixture models: Black Oystercatcher (<i>Haematopus bachmani</i>) surveys by land and sea: The Auk, v. 129, no. 4, p. 645-652, https://doi.org/10.1525/auk.2012.11253.","productDescription":"8 p.","startPage":"645","endPage":"652","ipdsId":"IP-037900","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2012.11253","text":"Publisher Index Page"},{"id":264669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon;Washington","volume":"129","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d4cc56e4b0c6073c90208e","contributors":{"authors":[{"text":"Lyons, James E.","contributorId":35461,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[],"preferred":false,"id":470435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrew, Royle J.","contributorId":69800,"corporation":false,"usgs":true,"family":"Andrew","given":"Royle","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Susan M.","contributorId":15452,"corporation":false,"usgs":true,"family":"Thomas","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":470433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott-Smith, Elise eelliott-smith@usgs.gov","contributorId":3645,"corporation":false,"usgs":true,"family":"Elliott-Smith","given":"Elise","email":"eelliott-smith@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":470432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evenson, Joseph R.","contributorId":62481,"corporation":false,"usgs":true,"family":"Evenson","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Elizabeth G.","contributorId":99847,"corporation":false,"usgs":true,"family":"Kelly","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":470440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Milner, Ruth L.","contributorId":48061,"corporation":false,"usgs":true,"family":"Milner","given":"Ruth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nysewander, David R.","contributorId":23036,"corporation":false,"usgs":true,"family":"Nysewander","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470434,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Andres, Brad A.","contributorId":68811,"corporation":false,"usgs":true,"family":"Andres","given":"Brad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470438,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70041889,"text":"70041889 - 2012 - Mapping anuran habitat suitability to estimate effects of grassland and wetland conservation programs","interactions":[],"lastModifiedDate":"2018-01-04T12:08:46","indexId":"70041889","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Mapping anuran habitat suitability to estimate effects of grassland and wetland conservation programs","docAbstract":"The conversion of the Northern Great Plains of North America to a landscape favoring agricultural commodity production has negatively impacted wildlife habitats. To offset impacts, conservation programs have been implemented by the U.S. Department of Agriculture and other agencies to restore grassland and wetland habitat components. To evaluate effects of these efforts on anuran habitats, we used call survey data and environmental data in ecological niche factor analyses implemented through the program Biomapper to quantify habitat suitability for five anuran species within a 196 km<sup>2</sup> study area. Our amphibian call surveys identified Northern Leopard Frogs (<i>Lithobates pipiens</i>), Wood Frogs (<i>Lithobates sylvaticus</i>), Boreal Chorus Frogs (<i>Pseudacris maculata</i>), Great Plains Toads (<i>Anaxyrus cognatus</i>), and Woodhouse’s Toads (<i>Anaxyrus woodhousii</i>) occurring within the study area. Habitat suitability maps developed for each species revealed differing patterns of suitable habitat among species. The most significant findings of our mapping effort were 1) the influence of deep-water overwintering wetlands on suitable habitat for all species encountered except the Boreal Chorus Frog; 2) the lack of overlap between areas of core habitat for both the Northern Leopard Frog and Wood Frog compared to the core habitat for both toad species; and 3) the importance of conservation programs in providing grassland components of Northern Leopard Frog and Wood Frog habitat. The differences in habitats suitable for the five species we studied in the Northern Great Plains, i.e., their ecological niches, highlight the importance of utilizing an ecosystem based approach that considers the varying needs of multiple species in the development of amphibian conservation and management plans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Ichthyologists and Herpetologists","publisherLocation":"Lawrence, KS","doi":"10.1643/CH-11-119","usgsCitation":"Mushet, D.M., Euliss, N.H., and Stockwell, C., 2012, Mapping anuran habitat suitability to estimate effects of grassland and wetland conservation programs: Copeia, v. 2012, no. 2, p. 321-330, https://doi.org/10.1643/CH-11-119.","productDescription":"10 p.","startPage":"321","endPage":"330","ipdsId":"IP-030690","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":264133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264132,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CH-11-119"}],"volume":"2012","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20ba7e4b08b071e771b30","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":470316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":470317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Craig A.","contributorId":55257,"corporation":false,"usgs":true,"family":"Stockwell","given":"Craig A.","affiliations":[],"preferred":false,"id":470318,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041897,"text":"70041897 - 2012 - Comparing seasonal dynamics of the Lake Huron zooplankton community between 1983-1984 and 2007 and revisiting the impact of <i>Bythotrephes</i> planktivory","interactions":[],"lastModifiedDate":"2012-12-19T15:42:09","indexId":"70041897","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Comparing seasonal dynamics of the Lake Huron zooplankton community between 1983-1984 and 2007 and revisiting the impact of <i>Bythotrephes</i> planktivory","docAbstract":"Zooplankton community composition can be influenced by lake productivity as well as planktivory by fish or invertebrates. Previous analyses based on long-term Lake Huron zooplankton data from August reported a shift in community composition between the 1980s and 2000s: proportional biomass of calanoid copepods increased while that of cyclopoid copepods and herbivorous cladocerans decreased. Herein, we used seasonally collected data from Lake Huron in 1983–1984 and 2007 and reported similar shifts in proportional biomass. We also used a series of generalized additive models to explore differences in seasonal abundance by species and found that all three cyclopoid copepod species (<i>Diacyclops thomasi, Mesocylops edax, Tropocyclops prasinus mexicanus</i>) exhibited higher abundance in 1983–1984 than in 2007. Surprisingly, only one (<i>Epischura lacustris</i>) of seven calanoid species exhibited higher abundance in 2007. The results for cladocerans were also mixed with <i>Bosmina</i> spp. exhibiting higher abundance in 1983–1984, while <i>Daphnia galeata mendotae</i> reached a higher level of abundance in 2007. We used a subset of the 2007 data to estimate not only the vertical distribution of <i>Bythotrephes longimanus</i> and their prey, but also the consumption by <i>Bythotrephes</i> in the top 20 m of water. This epilimnetic layer was dominated by copepod copepodites and nauplii, and consumption either exceeded (Hammond Bay site) or equaled 65% (Detour site) of epilimnetic zooplankton production. The lack of spatial overlap between <i>Bythotrephes</i> and herbivorous cladocerans and cyclopoid copepod prey casts doubt on the hypothesis that <i>Bythotrephes</i> planktivory was the primary driver underlying the community composition changes in the 2000s.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2012.04.007","usgsCitation":"Bunnell, D., Keeler, K.M., Puchala, E.A., Davis, B.M., and Pothoven, S.A., 2012, Comparing seasonal dynamics of the Lake Huron zooplankton community between 1983-1984 and 2007 and revisiting the impact of <i>Bythotrephes</i> planktivory: Journal of Great Lakes Research, v. 38, no. 3, p. 451-462, https://doi.org/10.1016/j.jglr.2012.04.007.","productDescription":"12 p.","startPage":"451","endPage":"462","ipdsId":"IP-038228","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264637,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2012.04.007"}],"country":"United States;Canada","otherGeospatial":"Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6431,42.9928 ], [ -83.6431,45.9218 ], [ -81.2795,45.9218 ], [ -81.2795,42.9928 ], [ -83.6431,42.9928 ] ] ] } } ] }","volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d9742ce4b07a5aecdeb8d6","contributors":{"authors":[{"text":"Bunnell, David B.","contributorId":14360,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","affiliations":[],"preferred":false,"id":470332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeler, Kevin M. 0000-0002-8118-0060 kkeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-8118-0060","contributorId":4377,"corporation":false,"usgs":true,"family":"Keeler","given":"Kevin","email":"kkeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puchala, Elizabeth A.","contributorId":38862,"corporation":false,"usgs":true,"family":"Puchala","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Bruce M. bmdavis@usgs.gov","contributorId":4227,"corporation":false,"usgs":true,"family":"Davis","given":"Bruce","email":"bmdavis@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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