{"pageNumber":"1609","pageRowStart":"40200","pageSize":"25","recordCount":184582,"records":[{"id":70040209,"text":"fs20123106 - 2012 - Evolution of 3-D geologic framework modeling and its application to groundwater flow studies","interactions":[],"lastModifiedDate":"2025-05-15T13:51:47.6161","indexId":"fs20123106","displayToPublicDate":"2012-10-05T00:00:00","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":"2012-3106","title":"Evolution of 3-D geologic framework modeling and its application to groundwater flow studies","docAbstract":"In this Fact Sheet, the authors discuss the evolution of project 3-D subsurface framework modeling, research in hydrostratigraphy and airborne geophysics, and methodologies used to link geologic and groundwater flow models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123106","usgsCitation":"Blome, C.D., and Smith, D.V., 2012, Evolution of 3-D geologic framework modeling and its application to groundwater flow studies: U.S. Geological Survey Fact Sheet 2012-3106, 4 p., https://doi.org/10.3133/fs20123106.","productDescription":"4 p.","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":262306,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3106/fs12-3106.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3106.gif"},{"id":262305,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3106/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oklahoma,Texas","otherGeospatial":"Arbuckle-Simpson aquifer, Edwards aquifer, Trinity aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.63333333333334,25.833333333333332 ], [ -106.63333333333334,34.666666666666664 ], [ -94.48333333333333,34.666666666666664 ], [ -94.48333333333333,25.833333333333332 ], [ -106.63333333333334,25.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50dcb095e4b0d55926e3f0b0","contributors":{"authors":[{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":467908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040204,"text":"sir20115145 - 2012 - Parking lot runoff quality and treatment efficiencies of a hydrodynamic-settling device in Madison, Wisconsin, 2005-6","interactions":[],"lastModifiedDate":"2012-10-05T17:16:22","indexId":"sir20115145","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5145","title":"Parking lot runoff quality and treatment efficiencies of a hydrodynamic-settling device in Madison, Wisconsin, 2005-6","docAbstract":"A hydrodynamic-settling device was installed in 2004 to treat stormwater runoff from a roof and parking lot located at the Water Utility Administration Building in Madison, Wis. The U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources, the City of Madison, cities in the Waukesha Permit Group, Hydro International, Earth Tech, Inc., National Sanitation Foundation International, and the U.S. Environmental Protection Agency, monitored the device from November 2005 through September 2006 to evaluate it as part of the U.S. Environmental Protection Agency's Environmental Technology Verification Program. Twenty-three runoff events monitored for flow volume and water quality at the device's inlet and outlet were used to calculate the percentage of pollutant reduction for the device. The geometric mean concentrations of suspended sediment (SS), \"adjusted\" total suspended solids (TSS), total phosphorus (TP), dissolved phosphorus (DP), total recoverable zinc (TZn), and total recoverable copper (TCu) measured at the inlet were 107 mg/L (milligrams per liter), 92 mg/L, 0.17 mg/L, 0.05 mg/L, 38 μg/L (micrograms per liter), and 12 μg/L, respectively, and these concentrations are in the range of values observed in stormwater runoff from other parking lots in Wisconsin and Michigan. Efficiency of the settling device was calculated using the efficiency ratio and summation of loads (SOL) methods. Using the efficiency ratio method, the device reduced concentrations of SS, and DP, by 19, and 15, percent, respectively. Using the efficiency ratio method, the device increased \"adjusted\" TSS and TZn concentrations by 5 and 19, respectively. Bypass occurred for 3 of the 23 runoff events used in this assessment, and the bypass flow and water-quality concentrations were used to determine the efficiency of the bypass system. Concentrations of SS, \"adjusted\" TSS, and DP were reduced for the system by 18, 5, and 18, respectively; however, TZn increased by 5 percent. Some of the TSS concentrations were \"adjusted\" to add the particles that remained on the sieves during sample processing. The loads of SS, \"adjusted\" TSS, and DP were reduced using the SOL method for the settling device by 38, 9, and 19 percent, respectively, and TZn increased by 13 percent. For the bypass system, the loads of SS, \"adjusted\" TSS, and DP had percentage reductions of 39, 12, 22, respectively, however TZn increased by 4 percent. The SOL method produced percentage reductions for SS and 'adjusted\" TSS that were twice those for the efficiency ratio method. Removing the two large runoff events on August 23 and 24, 2006, from the SOL calculation brought the reduction for SS down to 16 and increased \"adjusted\" TSS by 4 percent. The two large runoff events were anomalies in that the runoff volumes and dissolved solids concentrations were greatly increased by overflow from an adjacent recycling facility. The SOL method was used to determine the percentage of SS load reduction for six different particle sizes for both the settling device and bypass system. Essentially no load reduction was observed for particles less than 125 micrometers (μm) in diameter, and about a 90-percent reduction occurred for particle sizes greater than 250 μm in diameter. The large removal efficiencies for particle sizes greater than 250 μm in diameter were further supported by the fact that more than 80 percent of the particle sizes trapped in the sump were greater than 250 μm in diameter. These results support the claim by the manufacturer of achieving a large percentage load reduction for particle sizes greater than 250 μm in diameter.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115145","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources, the City of Madison, Cities in the Waukesha Permit Group, Hydro International, Earth Tech Incorporated, National Sanitation Foundation International, and the U.S. Environmental Protection Agency","usgsCitation":"Horwatich, J.A., and Bannerman, R.T., 2012, Parking lot runoff quality and treatment efficiencies of a hydrodynamic-settling device in Madison, Wisconsin, 2005-6: U.S. Geological Survey Scientific Investigations Report 2011-5145, viii, 60 p.; col. ill., https://doi.org/10.3133/sir20115145.","productDescription":"viii, 60 p.; col. ill.","startPage":"i","endPage":"60","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":262308,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5145.jpg"},{"id":262298,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5145/","linkFileType":{"id":5,"text":"html"}},{"id":262297,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5145/pdf/sir2011_5145.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Wisconsin","city":"Madison","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.55,42.983333333333334 ], [ -89.55,43.166666666666664 ], [ -89.23333333333333,43.166666666666664 ], [ -89.23333333333333,42.983333333333334 ], [ -89.55,42.983333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e0ec21e4b0fec3206f1904","contributors":{"authors":[{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040203,"text":"70040203 - 2012 - Shifting foundations and metrics for golden-cheeked warbler recovery","interactions":[],"lastModifiedDate":"2012-10-05T17:16:22","indexId":"70040203","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Shifting foundations and metrics for golden-cheeked warbler recovery","docAbstract":"Using the golden-cheeked warbler (Setophaga chrysoparia) as a case study, this paper discusses what lessons can be learned from the process of the emergency listing and subsequent development of the recovery plan. Are the metrics for recovery in the current warbler plan appropriate, including population size and distribution (recovery units), migration corridors, and wintering habitat? In other words, what happened, what can we learn, and what should happen (in general) in the future for development of such plans? We discuss the number of recovery units required for species persistence and estimate the number of male warblers in protected areas across the breeding range of the species, using newly published density estimates. We also discuss future monitoring strategies to estimate warbler population trends and dispersal rates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/wsb.181","usgsCitation":"Hatfield, J.S., Weckerly, F.W., and Duarte, A., 2012, Shifting foundations and metrics for golden-cheeked warbler recovery: Wildlife Society Bulletin, v. 36, no. 3, p. 415-422, https://doi.org/10.1002/wsb.181.","productDescription":"8 p.","startPage":"415","endPage":"422","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":500045,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/376356ac371f48888d64c28643c681d3","text":"External Repository"},{"id":262407,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262401,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.181"}],"volume":"36","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-08-10","publicationStatus":"PW","scienceBaseUri":"50e4c395e4b0e8fec6ce0945","contributors":{"authors":[{"text":"Hatfield, Jeff S.","contributorId":95187,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff","email":"","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":467890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weckerly, Floyd W.","contributorId":10298,"corporation":false,"usgs":false,"family":"Weckerly","given":"Floyd","email":"","middleInitial":"W.","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":467888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":467889,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040210,"text":"ofr20121203 - 2012 - Biotic, water-quality, and hydrologic metrics calculated for the analysis of temporal trends in National Water Quality Assessment Program Data in the Western United States","interactions":[],"lastModifiedDate":"2019-12-27T10:33:37","indexId":"ofr20121203","displayToPublicDate":"2012-10-05T00:00:00","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":"2012-1203","title":"Biotic, water-quality, and hydrologic metrics calculated for the analysis of temporal trends in National Water Quality Assessment Program Data in the Western United States","docAbstract":"The U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program was established by Congress in 1991 to collect long-term, nationally consistent information on the quality of the Nation's streams and groundwater. The NAWQA Program utilizes interdisciplinary and dynamic studies that link the chemical and physical conditions of streams (such as flow and habitat) with ecosystem health and the biologic condition of algae, aquatic invertebrates, and fish communities. This report presents metrics derived from NAWQA data and the U.S. Geological Survey streamgaging network for sampling sites in the Western United States, as well as associated chemical, habitat, and streamflow properties. The metrics characterize the conditions of algae, aquatic invertebrates, and fish. In addition, we have compiled climate records and basin characteristics related to the NAWQA sampling sites. The calculated metrics and compiled data can be used to analyze ecohydrologic trends over time.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121203","usgsCitation":"Wiele, S.M., Brasher, A., Miller, M.P., May, J., and Carpenter, K., 2012, Biotic, water-quality, and hydrologic metrics calculated for the analysis of temporal trends in National Water Quality Assessment Program Data in the Western United States: U.S. Geological Survey Open-File Report 2012-1203, Report: iv; 11 p.; Appendixes 1-9, https://doi.org/10.3133/ofr20121203.","productDescription":"Report: iv; 11 p.; Appendixes 1-9","numberOfPages":"20","onlineOnly":"Y","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":262400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1203.gif"},{"id":262398,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1203/","linkFileType":{"id":5,"text":"html"}},{"id":332859,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1203/of2012-1203_appendixes/of2012-1203_appendixes.html","text":"Appendixes 1-9","linkHelpText":"Web page with links to download Appendixes 1-9 as xlsx files (up to 1.6 MB each)"},{"id":262399,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1203/of2012-1203_text.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.63964843750001,\n              29.6880527498568\n            ],\n            [\n              -91.0546875,\n              29.6880527498568\n            ],\n            [\n              -91.0546875,\n              49.009050809382046\n            ],\n            [\n              -125.63964843750001,\n              49.009050809382046\n            ],\n            [\n              -125.63964843750001,\n              29.6880527498568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d8a220e4b0af4069e41a1a","contributors":{"authors":[{"text":"Wiele, Stephen M. smwiele@usgs.gov","contributorId":2199,"corporation":false,"usgs":true,"family":"Wiele","given":"Stephen","email":"smwiele@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":467913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, Jason T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":14791,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","affiliations":[],"preferred":false,"id":467912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carpenter, Kurt D. kdcar@usgs.gov","contributorId":1372,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt D.","email":"kdcar@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467909,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040202,"text":"70040202 - 2012 - Tracking climate impacts on the migratory monarch butterfly","interactions":[],"lastModifiedDate":"2012-10-05T17:16:22","indexId":"70040202","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tracking climate impacts on the migratory monarch butterfly","docAbstract":"Understanding the impacts of climate on migratory species is complicated by the fact that these species travel through several climates that may be changing in diverse ways throughout their complete migratory cycle. Most studies are not designed to tease out the direct and indirect effects of climate at various stages along the migration route. We assess the impacts of spring and summer climate conditions on breeding monarch butterflies, a species that completes its annual migration cycle over several generations. No single, broad-scale climate metric can explain summer breeding phenology or the substantial year-to-year fluctuations observed in population abundances. As such, we built a Poisson regression model to help explain annual arrival times and abundances in the Midwestern United States. We incorporated the climate conditions experienced both during a spring migration/breeding phase in Texas as well as during subsequent arrival and breeding during the main recruitment period in Ohio. Using data from a state-wide butterfly monitoring network in Ohio, our results suggest that climate acts in conflicting ways during the spring and summer seasons. High spring precipitation in Texas is associated with the largest annual population growth in Ohio and the earliest arrival to the summer breeding ground, as are intermediate spring temperatures in Texas. On the other hand, the timing of monarch arrivals to the summer breeding grounds is not affected by climate conditions within Ohio. Once in Ohio for summer breeding, precipitation has minimal impacts on overall abundances, whereas warmer summer temperatures are generally associated with the highest expected abundances, yet this effect is mitigated by the average seasonal temperature of each location in that the warmest sites receive no benefit of above average summer temperatures. Our results highlight the complex relationship between climate and performance for a migrating species and suggest that attempts to understand how monarchs will be affected by future climate conditions will be challenging.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-2486.2012.02751.x","usgsCitation":"Zipkin, E., Ries, L., Reeves, R., Regetz, J., and Oberhauser, K.S., 2012, Tracking climate impacts on the migratory monarch butterfly: Global Change Biology, v. 18, no. 10, p. 3039-3049, https://doi.org/10.1111/j.1365-2486.2012.02751.x.","productDescription":"11 p.","startPage":"3039","endPage":"3049","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474326,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1002&context=monarch_pubs","text":"External Repository"},{"id":262406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262402,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2012.02751.x"}],"country":"United States","volume":"18","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-07-18","publicationStatus":"PW","scienceBaseUri":"50e554cfe4b0a4aa5bb0245d","contributors":{"authors":[{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":467887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ries, Leslie","contributorId":50034,"corporation":false,"usgs":true,"family":"Ries","given":"Leslie","affiliations":[],"preferred":false,"id":467885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Rick","contributorId":60492,"corporation":false,"usgs":true,"family":"Reeves","given":"Rick","email":"","affiliations":[],"preferred":false,"id":467886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regetz, James","contributorId":20596,"corporation":false,"usgs":true,"family":"Regetz","given":"James","email":"","affiliations":[],"preferred":false,"id":467883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oberhauser, Karen S.","contributorId":27737,"corporation":false,"usgs":true,"family":"Oberhauser","given":"Karen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467884,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040212,"text":"ds650 - 2012 - Geodatabase of sites, basin boundaries, and topology rules used to store drainage basin boundaries for the U.S. Geological Survey, Colorado Water Science Center","interactions":[],"lastModifiedDate":"2012-10-25T17:16:18","indexId":"ds650","displayToPublicDate":"2012-10-05T00:00:00","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":"650","title":"Geodatabase of sites, basin boundaries, and topology rules used to store drainage basin boundaries for the U.S. Geological Survey, Colorado Water Science Center","docAbstract":"This geodatabase and its component datasets are part of U.S. Geological Survey Digital Data Series 650 and were generated to store basin boundaries for U.S. Geological Survey streamgages and other sites in Colorado. The geodatabase and its components were created by the U.S. Geological Survey, Colorado Water Science Center, and are used to derive the numeric drainage areas for Colorado that are input into the U.S. Geological Survey's National Water Information System (NWIS) database and also published in the Annual Water Data Report and on NWISWeb. The foundational dataset used to create the basin boundaries in this geodatabase was the National Watershed Boundary Dataset. This geodatabase accompanies a U.S. Geological Survey Techniques and Methods report (Book 11, Section C, Chapter 6) entitled \"Digital Database Architecture and Delineation Methodology for Deriving Drainage Basins, and Comparison of Digitally and Non-Digitally Derived Numeric Drainage Areas.\" The Techniques and Methods report details the geodatabase architecture, describes the delineation methodology and workflows used to develop these basin boundaries, and compares digitally derived numeric drainage areas in this geodatabase to non-digitally derived areas.  1. COBasins.gdb: This geodatabase contains site locations and basin boundaries for Colorado. It includes a single feature dataset, called BasinsFD, which groups the component feature classes and topology rules. 2. BasinsFD: This feature dataset in the \"COBasins.gdb\" geodatabase is a digital container that holds the feature classes used to archive site locations and basin boundaries as well as the topology rules that govern spatial relations within and among component feature classes. This feature dataset includes three feature classes: the sites for which basins have been delineated (the \"Sites\" feature class), basin bounding lines (the \"BasinLines\" feature class), and polygonal basin areas (the \"BasinPolys\" feature class). The feature dataset also stores the topology rules (the \"BasinsFD_Topology\") that constrain the relations within and among component feature classes. The feature dataset also forces any feature classes inside it to have a consistent projection system, which is, in this case, an Albers-Equal-Area projection system. 3. BasinsFD_Topology: This topology contains four persistent topology rules that constrain the spatial relations within the \"BasinLines\" feature class and between the \"BasinLines\" feature class and the \"BasinPolys\" feature classes. 4. Sites: This point feature class contains the digital representations of the site locations for which Colorado Water Science Center basin boundaries have been delineated. This feature class includes point locations for Colorado Water Science Center active (as of September 30, 2009) gages and for other sites. 5. BasinLines: This line feature class contains the perimeters of basins delineated for features in the \"Sites\" feature class, and it also contains information regarding the sources of lines used for the basin boundaries. 6. BasinPolys: This polygon feature class contains the polygonal basin areas delineated for features in the \"Sites\" feature class, and it is used to derive the numeric drainage areas published by the Colorado Water Science Center.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds650","usgsCitation":"Dupree, J.A., and Crowfoot, R.M., 2012, Geodatabase of sites, basin boundaries, and topology rules used to store drainage basin boundaries for the U.S. Geological Survey, Colorado Water Science Center: U.S. Geological Survey Data Series 650, HTML Document; Metadata, https://doi.org/10.3133/ds650.","productDescription":"HTML Document; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":262411,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_650.jpg"},{"id":262405,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/650/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.05,36.983333333333334 ], [ -109.05,41 ], [ -102.03333333333333,41 ], [ -102.03333333333333,36.983333333333334 ], [ -109.05,36.983333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"508a5f71e4b07fc5688448cb","contributors":{"authors":[{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowfoot, Richard M. crowfoot@usgs.gov","contributorId":4516,"corporation":false,"usgs":true,"family":"Crowfoot","given":"Richard","email":"crowfoot@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":467915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040183,"text":"70040183 - 2012 - Temperature-dependent growth of Geomyces destructans, the fungus that causes bat white-nose syndrome","interactions":[],"lastModifiedDate":"2016-08-19T17:21:40","indexId":"70040183","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Temperature-dependent growth of Geomyces destructans, the fungus that causes bat white-nose syndrome","docAbstract":"<p><span>White-nose syndrome (WNS) is an emergent disease estimated to have killed over five million North American bats. Caused by the psychrophilic fungus&nbsp;</span><i>Geomyces destructans</i><span>, WNS specifically affects bats during hibernation. We describe temperature-dependent growth performance and morphology for six independent isolates of&nbsp;</span><i>G. destructans</i><span>&nbsp;from North America and Europe. Thermal performance curves for all isolates displayed an intermediate peak with rapid decline in performance above the peak. Optimal temperatures for growth were between 12.5 and 15.8&deg;C, and the upper critical temperature for growth was between 19.0 and 19.8&deg;C. Growth rates varied across isolates, irrespective of geographic origin, and above 12&deg;C all isolates displayed atypical morphology that may have implications for proliferation of the fungus. This study demonstrates that small variations in temperature, consistent with those inherent of bat hibernacula, affect growth performance and physiology of&nbsp;</span><i>G. destructans</i><span>, which may influence temperature-dependent progression and severity of WNS in wild bats.</span></p>","language":"English","publisher":"Public Library of Science (PLoS)","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0046280","usgsCitation":"Verant, M.L., Boyles, J.G., Waldrep, W., Wibbelt, G., and Blehert, D., 2012, Temperature-dependent growth of Geomyces destructans, the fungus that causes bat white-nose syndrome: PLoS ONE, v. 7, no. 9, 7 p.; e46280, https://doi.org/10.1371/journal.pone.0046280.","productDescription":"7 p.; e46280","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474327,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index 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Jr.","contributorId":59287,"corporation":false,"usgs":true,"family":"Waldrep","given":"William","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":467838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wibbelt, Gudrun","contributorId":72640,"corporation":false,"usgs":true,"family":"Wibbelt","given":"Gudrun","affiliations":[],"preferred":false,"id":467839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":467835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038868,"text":"70038868 - 2012 - An experimental evaluation of potential scavenger effects on snake road mortality detections","interactions":[],"lastModifiedDate":"2017-05-05T11:11:18","indexId":"70038868","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"An experimental evaluation of potential scavenger effects on snake road mortality detections","docAbstract":"<p>As road networks expand and collisions between vehicles and wildlife become more common, accurately quantifying mortality rates for the taxa that are most impacted will be critical. Snakes are especially vulnerable to collisions with vehicles because of their physiology and behavior. Reptile road mortality is typically quantified using driving or walking surveys; however, scavengers can rapidly remove carcasses from the road and cause underestimation of mortality. Our objective was to determine the effect that scavengers might have had on our ability to accurately detect reptile road mortality during over 150 h and 4,000 km of driving surveys through arid shrublands in southwest Wyoming, which resulted in only two observations of mortality. We developed unique simulated snake carcasses out of Burbot (Lota lota), a locally invasive fish species, and examined removal rates across three different road types at three study sites. Carcass size was not a significant predictor of time of removal, and carcass removal was comparable during the daytime and nighttime hours. However, removal of simulated carcasses was higher on paved roads than unpaved or two-track roads at all study sites, with an average of 75% of the carcasses missing within 60 h compared to 34% and 31%, respectively. Scavengers may therefore negatively impact the ability of researchers to accurately detect herpetofaunal road mortality, especially for paved roads where road mortality is likely the most prevalent.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Hubbard, K.A., and Chalfoun, A., 2012, An experimental evaluation of potential scavenger effects on snake road mortality detections: Herpetological Conservation and Biology, v. 7, no. 2, p. 150-156.","productDescription":"7 p.","startPage":"150","endPage":"156","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033697","costCenters":[],"links":[{"id":262423,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301281,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol7_issue2.html"}],"country":"United States","state":"Wyoming","volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d7cb44e4b0c5576aef67ce","contributors":{"authors":[{"text":"Hubbard, Kaylan A.","contributorId":11465,"corporation":false,"usgs":true,"family":"Hubbard","given":"Kaylan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D.","contributorId":36794,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna D.","affiliations":[],"preferred":false,"id":465119,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003748,"text":"70003748 - 2012 - Black-footed ferret digging activity in summer","interactions":[],"lastModifiedDate":"2012-10-06T17:16:14","indexId":"70003748","displayToPublicDate":"2012-10-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Black-footed ferret digging activity in summer","docAbstract":"Black-footed ferrets (Mustela nigripes) excavate soil from prairie dog (Cynomys spp.) burrows, thereby creating characteristic soil deposits at burrow openings. These soil deposits have been observed only rarely in summer. We monitored adult ferrets during June&ndash;October of the years 2007 and 2008 on a 452-ha colony of black-tailed prairie dogs (Cynomys ludovicianus) in the Conata Basin, South Dakota. We located and identified ferret excavations during nighttime spotlight surveys for ferrets and daytime sampling of prairie dog burrow openings around locations where ferrets were located via spotlight. We accumulated 48 observations of in-process or recently completed ferret excavations during spotlight surveys (21 in 2007, 27 in 2008) and located 51 diggings during daytime burrow sampling (25 in 2007, 26 in 2008). We located diggings during 5.5% of spotlight observations, most frequently in July&ndash;August. These results collectively suggest ferrets may frequently excavate soil in summer, because prairie dogs frequently use soil to plug burrow openings and tunnels in defense against ferrets. Prairie dogs might frequently destroy soil deposits left by ferrets during summer, thereby reducing detection of diggings by biologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Brigham Young University","publisherLocation":"Provo, UT","doi":"10.3398/064.072.0203","usgsCitation":"Eads, D., Biggins, D.E., Marsh, D., Millspaugh, J.J., and Livieri, T., 2012, Black-footed ferret digging activity in summer: Western North American Naturalist, v. 72, no. 2, p. 140-147, https://doi.org/10.3398/064.072.0203.","productDescription":"8 p.","startPage":"140","endPage":"147","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487997,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol72/iss2/3","text":"External Repository"},{"id":262419,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262425,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.072.0203"}],"country":"United States","state":"South Dakota","otherGeospatial":"Conata Basin","volume":"72","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50788bdee4b0cfc2d59f59f2","contributors":{"authors":[{"text":"Eads, David A.","contributorId":70234,"corporation":false,"usgs":true,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":348680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":348676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, Dustin","contributorId":31620,"corporation":false,"usgs":true,"family":"Marsh","given":"Dustin","email":"","affiliations":[],"preferred":false,"id":348679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millspaugh, Joshua J.","contributorId":22082,"corporation":false,"usgs":true,"family":"Millspaugh","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Livieri, Travis M.","contributorId":16265,"corporation":false,"usgs":true,"family":"Livieri","given":"Travis M.","affiliations":[],"preferred":false,"id":348677,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040215,"text":"sir20125224 - 2012 - Simulation of groundwater and surface-water resources and evaluation of water-management alternatives for the Chamokane Creek basin, Stevens County, Washington","interactions":[],"lastModifiedDate":"2012-10-05T17:16:22","indexId":"sir20125224","displayToPublicDate":"2012-10-05T00:00:00","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":"2012-5224","title":"Simulation of groundwater and surface-water resources and evaluation of water-management alternatives for the Chamokane Creek basin, Stevens County, Washington","docAbstract":"A three-dimensional, transient numerical model of groundwater and surface-water flow was constructed for Chamokane Creek basin to better understand the groundwater-flow system and its relation to surface-water resources. The model described in this report can be used as a tool by water-management agencies and other stakeholders to quantitatively evaluate the effects of potential increases in groundwater pumping on groundwater and surface-water resources in the basin. The Chamokane Creek model was constructed using the U.S. Geological Survey (USGS) integrated model, GSFLOW. GSFLOW was developed to simulate coupled groundwater and surface-water resources. The model uses 1,000-foot grid cells that subdivide the model domain by 102 rows and 106 columns. Six hydrogeologic units in the model are represented using eight model layers. Daily precipitation and temperature were spatially distributed and subsequent groundwater recharge was computed within GSFLOW. Streamflows in Chamokane Creek and its major tributaries are simulated in the model by routing streamflow within a stream network that is coupled to the groundwater-flow system. Groundwater pumpage and surface-water diversions and returns specified in the model were derived from monthly and annual pumpage values previously estimated from another component of this study and new data reported by study partners. The model simulation period is water years 1980-2010 (October 1, 1979, to September 30, 2010), but the model was calibrated to the transient conditions for water years 1999-2010 (October 1, 1998, to September 30, 2010). Calibration was completed by using traditional trial-and-error methods and automated parameter-estimation techniques. The model adequately reproduces the measured time-series groundwater levels and daily streamflows. At well observation points, the mean difference between simulated and measured hydraulic heads is 7 feet with a root-mean-square error divided by the total difference in water levels of 4.7 percent. Simulated streamflow was compared to measured streamflow at the USGS streamflow-gaging station-Chamokane Creek below Falls, near Long Lake (12433200). Annual differences between measured and simulated streamflow for the site ranged from -63 to 22 percent. Calibrated model output includes a 31-year estimate of monthly water budget components for the hydrologic system. Five model applications (scenarios) were completed to obtain a better understanding of the relation between groundwater pumping and surface-water resources. The calibrated transient model was used to evaluate: (1) the connection between the upper- and middle-basin groundwater systems, (2) the effect of surface-water and groundwater uses in the middle basin, (3) the cumulative impacts of claims registry use and permit-exempt wells on Chamokane Creek streamflow, (4) the frequency of regulation due to impacted streamflow, and (5) the levels of domestic and stockwater use that can be regulated. The simulation results indicated that streamflow is affected by existing groundwater pumping in the upper and middle basins. Simulated water-management scenarios show streamflow increased relative to historical conditions as groundwater and surface-water withdrawals decreased.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125224","usgsCitation":"Ely, D.M., and Kahle, S.C., 2012, Simulation of groundwater and surface-water resources and evaluation of water-management alternatives for the Chamokane Creek basin, Stevens County, Washington: U.S. Geological Survey Scientific Investigations Report 2012-5224, viii; 74 p., https://doi.org/10.3133/sir20125224.","productDescription":"viii; 74 p.","numberOfPages":"86","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":262421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5224.jpg"},{"id":262413,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5224/pdf/sir20125224.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262412,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5224/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 11","datum":"North American Datum of 1983","country":"United States","state":"Washington","county":"Stevens County","otherGeospatial":"Chamokane Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.16666666666667,47.75 ], [ -118.16666666666667,48.18333333333333 ], [ -117.58333333333333,48.18333333333333 ], [ -117.58333333333333,47.75 ], [ -118.16666666666667,47.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4c737e4b0e8fec6ce1174","contributors":{"authors":[{"text":"Ely, D. Matthew","contributorId":100052,"corporation":false,"usgs":true,"family":"Ely","given":"D.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":467918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040192,"text":"sir20125201 - 2012 - Aquifer test at well SMW-1 near Moenkopi, Arizona","interactions":[],"lastModifiedDate":"2012-10-04T17:16:38","indexId":"sir20125201","displayToPublicDate":"2012-10-04T00:00:00","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":"2012-5201","title":"Aquifer test at well SMW-1 near Moenkopi, Arizona","docAbstract":"The Hopi villages of Lower Moencopi and Upper Moenkopi are on the Hopi Indian Reservation south of Tuba City in northern Arizona. These adjacent Hopi villages, located west and north of the confluence of Pasture Canyon Wash and Moenkopi Wash, are dependent on groundwater withdrawals from three wells that penetrate the N aquifer and from two springs that discharge from the N aquifer. The N aquifer is the principal aquifer in this region of northern Arizona and is composed of thick beds of sandstone between less permeable layers of siltstone and mudstone. The fine-grained character of the N aquifer inhibits rapid movement of water and large yields to wells; however, the aquifer is moderately productive at yields generally less than 25 gallons per minute in the study area. In recent years, the water level has declined in the three public-supply wells and the flow from the springs has decreased, causing concern that the current water supply will not be able to accommodate peak demand and allow for residential and economic growth. In addition to the challenge imposed by declining groundwater levels, the water-supply wells and springs are located about 2 miles downgradient from the Tuba City Landfill site where studies are ongoing to determine if uranium and other metals in groundwater beneath the landfill are higher than regional concentrations in the N aquifer. In August 2008, the U.S. Geological Survey, in cooperation with the Hopi Tribe, conducted an aquifer test on well SMW-1, designed to help the Hopi Tribe determine the potential yield and water quality of the N aquifer south of Moenkopi Wash as a possible source of additional water supply. Well SMW-1 was drilled south of Moenkopi Wash to a depth of 760 feet below land surface before being backfilled and cased to about 300 feet. The well penetrates, in descending order, the Navajo Sandstone and the Kayenta Formation, both units of the N aquifer. The pre-test water level in the well was 99.15 feet below land surface. A 9.25-hour step-drawdown test and a 72-hour constant-rate test followed by recovery tests were used to investigate the performance of the test well and to estimate the transmissivity and potential yield of the N aquifer south of Moenkopi Wash. The test data were analyzed using the Cooper-Jacob method adjusted for confined conditions, the Papadopulos-Cooper method that accounts for wellbore storage, and the Theis method on the recovery data. Results of the tests indicate that in the vicinity of the well, the N aquifer has a transmissivity of about 50 feet squared per day. The test well, as completed, should yield about 15 gallons per minute with about 75 feet of drawdown (less than half of the available saturated thickness of the aquifer at the well).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125201","collaboration":"Prepared in cooperation with the Hopi Tribe","usgsCitation":"Carruth, R., and Bills, D., 2012, Aquifer test at well SMW-1 near Moenkopi, Arizona: U.S. Geological Survey Scientific Investigations Report 2012-5201, 11 p.; col. ill.; map (col.), https://doi.org/10.3133/sir20125201.","productDescription":"11 p.; col. ill.; map (col.)","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":262287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5201.gif"},{"id":262282,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5201/sir2012-5201.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262281,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5201/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","city":"Moenkopi","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506dba96e4b002b5ec71a847","contributors":{"authors":[{"text":"Carruth, Rob 0000-0001-7008-2927 rlcarr@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-2927","contributorId":1162,"corporation":false,"usgs":true,"family":"Carruth","given":"Rob","email":"rlcarr@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bills, Donald J. djbills@usgs.gov","contributorId":4180,"corporation":false,"usgs":true,"family":"Bills","given":"Donald J.","email":"djbills@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467862,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040189,"text":"70040189 - 2012 - Development and application of downscaled hydroclimatic predictor variables for use in climate vulnerability and assessment studies","interactions":[],"lastModifiedDate":"2012-10-04T17:16:38","indexId":"70040189","displayToPublicDate":"2012-10-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":293,"text":"Technical Paper","active":false,"publicationSubtype":{"id":4}},"title":"Development and application of downscaled hydroclimatic predictor variables for use in climate vulnerability and assessment studies","docAbstract":"This paper outlines the production of 270-meter grid-scale maps for 14 climate and derivative hydrologic variables for a region that encompasses the State of California and all the streams that flow into it. The paper describes the Basin Characterization Model (BCM), a map-based, mechanistic model used to process the hydrological variables. Three historic and three future time periods of 30 years (1911&ndash;1940, 1941&ndash;1970, 1971&ndash;2000, 2010&ndash;2039, 2040&ndash;2069, and 2070&ndash;2099) were developed that summarize 180 years of monthly historic and future climate values. These comprise a standardized set of fine-scale climate data that were shared with 14 research groups, including the U.S. National Park Service and several University of California groups as part of this project. We present three analyses done with the outputs from the Basin Characterization Model: trends in hydrologic variables over baseline, the most recent 30-year period; a calibration and validation effort that uses measured discharge values from 139 streamgages and compares those to Basin Characterization Model-derived projections of discharge for the same basins; and an assessment of the trends of specific hydrological variables that links historical trend to projected future change under four future climate projections. Overall, increases in potential evapotranspiration dominate other influences in future hydrologic cycles. Increased potential evapotranspiration drives decreasing runoff even under forecasts with increased precipitation, and drives increased climatic water deficit, which may lead to conversion of dominant vegetation types across large parts of the study region as well as have implications for rain-fed agriculture. The potential evapotranspiration is driven by air temperatures, and the Basin Characterization Model permits it to be integrated with a water balance model that can be derived for landscapes and summarized by watershed. These results show the utility of using a process-based model with modules representing different hydrological pathways that can be inter-linked.","language":"English","publisher":"California Energy Commission's California Climate Change Center","publisherLocation":"Davis, CA","collaboration":"Public Interest Energy Research (PIER) Program White Paper","usgsCitation":"Thorne, J., Boynton, R., Flint, L., Flint, A., and N’goc Le, T., 2012, Development and application of downscaled hydroclimatic predictor variables for use in climate vulnerability and assessment studies: Technical Paper, vii, 84 p.","productDescription":"vii, 84 p.","numberOfPages":"95","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262296,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://uc-ciee.org/climate-change/3/667/101/nested","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50da2331e4b07a5aecdf1805","contributors":{"authors":[{"text":"Thorne, James","contributorId":52444,"corporation":false,"usgs":true,"family":"Thorne","given":"James","affiliations":[],"preferred":false,"id":467847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boynton, Ryan","contributorId":36403,"corporation":false,"usgs":true,"family":"Boynton","given":"Ryan","affiliations":[],"preferred":false,"id":467846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":467850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":467848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"N’goc Le, Thuy","contributorId":94536,"corporation":false,"usgs":true,"family":"N’goc Le","given":"Thuy","email":"","affiliations":[],"preferred":false,"id":467849,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040191,"text":"ofr20121194 - 2012 - Geology of the Devonian Marcellus Shale--Valley and Ridge province, Virginia and West Virginia--a field trip guidebook for the American Association of Petroleum Geologists Eastern Section Meeting, September 28-29, 2011","interactions":[],"lastModifiedDate":"2012-10-04T17:16:38","indexId":"ofr20121194","displayToPublicDate":"2012-10-04T00:00:00","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":"2012-1194","title":"Geology of the Devonian Marcellus Shale--Valley and Ridge province, Virginia and West Virginia--a field trip guidebook for the American Association of Petroleum Geologists Eastern Section Meeting, September 28-29, 2011","docAbstract":"Detailed and reconnaissance field mapping and the results of geochemical and mineralogical analyses of outcrop samples indicate that the Devonian shales of the Broadtop Synclinorium from central Virginia to southern Pennsylvania have an organic content sufficiently high and a thermal maturity sufficiently moderate to be considered for a shale gas play. The organically rich Middle Devonian Marcellus Shale is present throughout most of the synclinorium, being absent only where it has been eroded from the crests of anticlines. Geochemical analyses of outcrop and well samples indicate that hydrocarbons have been generated and expelled from the kerogen originally in place in the shale. The mineralogical characteristics of the Marcellus Shale samples from the Broadtop Synclinorium are slightly different from the averages of samples from New York, Pennsylvania, northeast Ohio, and northern West Virginia. The Middle Devonian shale interval is moderately to heavily fractured in all areas, but in some areas substantial fault shearing has removed a regular \"cleat\" system of fractures. Conventional anticlinal gas fields in the study area that are productive from the Lower Devonian Oriskany Sandstone suggest that a continuous shale gas system may be in place within the Marcellus Shale interval at least in a portion of the synclinorium. Third-order intraformational deformation is evident within the Marcellus shale exposures. Correlations between outcrops and geophysical logs from exploration wells nearby will be examined by field trip attendees.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121194","usgsCitation":"Enomoto, C.B., Coleman, J.L., Haynes, J.T., Whitmeyer, S.J., McDowell, R.R., Lewis, J.E., Spear, T.P., and Swezey, C., 2012, Geology of the Devonian Marcellus Shale--Valley and Ridge province, Virginia and West Virginia--a field trip guidebook for the American Association of Petroleum Geologists Eastern Section Meeting, September 28-29, 2011: U.S. Geological Survey Open-File Report 2012-1194, v, 48 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121194.","productDescription":"v, 48 p.; col. ill.; maps (col.)","startPage":"i","endPage":"48","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":262288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1194.jpg"},{"id":262277,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1194/","linkFileType":{"id":5,"text":"html"}},{"id":262278,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1194/pdf/ofr2012-1194.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Virginia;West Virginia","otherGeospatial":"Devonian Marcellus Shale","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506dbadae4b002b5ec71a851","contributors":{"authors":[{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, James L. Jr. 0000-0002-5232-5849 jlcoleman@usgs.gov","orcid":"https://orcid.org/0000-0002-5232-5849","contributorId":549,"corporation":false,"usgs":true,"family":"Coleman","given":"James","suffix":"Jr.","email":"jlcoleman@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":467853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haynes, John T.","contributorId":54842,"corporation":false,"usgs":true,"family":"Haynes","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitmeyer, Steven J.","contributorId":105578,"corporation":false,"usgs":true,"family":"Whitmeyer","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDowell, Ronald R.","contributorId":104328,"corporation":false,"usgs":true,"family":"McDowell","given":"Ronald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":467859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lewis, J. Eric","contributorId":97755,"corporation":false,"usgs":true,"family":"Lewis","given":"J.","email":"","middleInitial":"Eric","affiliations":[],"preferred":false,"id":467858,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spear, Tyler P.","contributorId":70232,"corporation":false,"usgs":true,"family":"Spear","given":"Tyler","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":467857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swezey, Christopher S.","contributorId":52640,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher S.","affiliations":[],"preferred":false,"id":467855,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70040193,"text":"sir20125210 - 2012 - Streamflow record extension for selected streams in the Susitna River Basin, Alaska","interactions":[],"lastModifiedDate":"2018-05-06T10:50:54","indexId":"sir20125210","displayToPublicDate":"2012-10-04T00:00:00","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":"2012-5210","title":"Streamflow record extension for selected streams in the Susitna River Basin, Alaska","docAbstract":"Daily streamflow records for water years 1950&ndash;2010 in the Susitna River Basin range in length from 4 to 57 years, and many are distributed within that period in a way that might not adequately represent long-term streamflow conditions. Streamflow in the basin is affected by the Pacific Decadal Oscillation (PDO), a multi-decadal climate pattern that shifted from a cool phase to a warm phase in 1976. Records for many streamgages in the basin fell mostly within one phase of the PDO, such that monthly and annual statistics from observed records might not reflect streamflow conditions over a longer period. Correlations between daily discharge values sufficed for extending streamflow records at 11 of the 14 streamgages in the basin on the basis of relatively long-term records for one or more of the streamgages within the basin, or one outside the basin, that were defined as index stations. Streamflow at the index stations was hydrologically responsive to glacier melt and snowmelt, and correlated well with flow from similar high-elevation, glaciated basins, but flow in low-elevation basins without glaciers could not be correlated to flow at any of the index stations. Kendall-Theil Robust Line multi-segment regression equations developed for one or more index stations were used to extend daily discharge values to the full 61-year period for all 11 streamgages. Monthly and annual statistics prepared for the extended records show shifts in timing of breakup and freeze-up and magnitude of snowmelt peaks largely predicted by the PDO phase.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125210","collaboration":"Prepared in cooperation with the Alaska Energy Authority","usgsCitation":"Curran, J.H., 2012, Streamflow record extension for selected streams in the Susitna River Basin, Alaska: U.S. Geological Survey Scientific Investigations Report 2012-5210, vi, 36 p.; col. ill.; map (col.); Appendix B, https://doi.org/10.3133/sir20125210.","productDescription":"vi, 36 p.; col. ill.; map (col.); Appendix B","numberOfPages":"46","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":262285,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5210.jpg"},{"id":262283,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5210/","linkFileType":{"id":5,"text":"html"}},{"id":262284,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5210/pdf/sir20125210.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alaska","otherGeospatial":"Susitna River Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506dbb05e4b002b5ec71a858","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":467863,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040190,"text":"sir20125200 - 2012 - Suspended-sediment characteristics for the Johnson Creek basin, Oregon, water years 2007-10","interactions":[],"lastModifiedDate":"2012-10-04T17:16:38","indexId":"sir20125200","displayToPublicDate":"2012-10-04T00:00:00","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":"2012-5200","title":"Suspended-sediment characteristics for the Johnson Creek basin, Oregon, water years 2007-10","docAbstract":"Significant Findings An analysis of suspended-sediment transport in the Johnson Creek basin, Oregon, during water years 2007&ndash;10 indicated that: Streamflow characteristics for the 4 years of study were not extremely dry or wet, and represented near-average conditions. Computed average annual suspended-sediment loads were 1,890 and 4,640 tons at the Gresham and Milwaukie stations, respectively. More than 70 percent of suspended-sediment transport in the watershed occurred during the high-flow months of November, December, and January. Less than 10 percent of suspended-sediment transport in the watershed occurred during April&ndash;October. About 50 percent of all suspended-sediment load is transported during the highest 1 percent of streamflows. The January 2009 streamflow peak was the third highest in the 70-year record for Johnson Creek. About 50 percent of suspended-sediment transport in water year 2009 occurred in January. The drainage area upstream of the Gresham streamflow-gaging station constitutes about 30 percent of the drainage area at the Milwaukie station, but accounted for about 40 percent of the suspended sediment and 45 percent of the streamflow at the Milwaukie station. On an annual basis, most of the higher sediment yield at the Gresham station, relative to the Milwaukie station, can be explained by the higher streamflow yield at the Gresham station rather than by higher suspended-sediment concentration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125200","collaboration":"Prepared in cooperation with the Cities of Damascus, Gresham, Happy Valley, Milwaukie, and Portland; Clackamas County Water Environment Services; Multnomah County; and the East Multnomah Soil and Water Conservation District?","usgsCitation":"Stonewall, A., and Bragg, H., 2012, Suspended-sediment characteristics for the Johnson Creek basin, Oregon, water years 2007-10: U.S. Geological Survey Scientific Investigations Report 2012-5200, vi, 32 p.; col. ill.; map (col.); Table of Contents; Figures; Tables, https://doi.org/10.3133/sir20125200.","productDescription":"vi, 32 p.; col. ill.; map (col.); Table of Contents; Figures; Tables","startPage":"i","endPage":"32","numberOfPages":"42","additionalOnlineFiles":"Y","temporalStart":"2007-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":262286,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5200.jpg"},{"id":262279,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5200/pdf/sir20125200.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262280,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5200/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Johnson Creek Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506dbb0de4b002b5ec71a85b","contributors":{"authors":[{"text":"Stonewall, Adam J.","contributorId":6704,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam J.","affiliations":[],"preferred":false,"id":467852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragg, Heather M. hmbragg@usgs.gov","contributorId":428,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather M.","email":"hmbragg@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040123,"text":"70040123 - 2012 - Eleven-year trend in acetanilide pesticide degradates in the Iowa River, Iowa","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"70040123","displayToPublicDate":"2012-10-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Eleven-year trend in acetanilide pesticide degradates in the Iowa River, Iowa","docAbstract":"Trends in concentration and loads of acetochlor, alachlor, and metolachlor and their ethanasulfonic (ESA) and oxanilic (OXA) acid degradates were studied from 1996 through 2006 in the main stem of the Iowa River, Iowa and in the South Fork Iowa River, a small tributary near the headwaters of the Iowa River. Concentration trends were determined using the parametric regression model SEAWAVE-Q, which accounts for seasonal and flow-related variability. Daily estimated concentrations generated from the model were used with daily streamflow to calculate daily and yearly loads. Acetochlor, alachlor, metolachlor, and their ESA and OXA degradates were generally present in &#62;50% of the samples collected from both sites throughout the study. Their concentrations generally decreased from 1996 through 2006, although the rate of decrease was slower after 2001. Concentrations of the ESA and OXA degradates decreased from 3 to about 23% yr<sup>-1</sup>. The concentration trend was related to the decreasing use of these compounds during the study period. Decreasing concentrations and constant runoff resulted in an average reduction of 10 to &#62;3000 kg per year of alachlor and metolachlor ESA and OXA degradates being transported out of the Iowa River watershed. Transport of acetochlor and metolachlor parent compounds and their degradates from the Iowa River watershed ranged from &#60;1% to about 6% of the annual application. These trends were related to the decreasing use of these compounds during the study period, but the year-to-year variability cannot explain changes in loads based on herbicide use alone. The trends were also affected by the timing and amount of precipitation. As expected, increased amounts of water moving through the watershed moved a greater percentage of the applied herbicides, especially the relatively soluble degradates, from the soils into the rivers through surface runoff, shallow groundwater inflow, and subsurface drainage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASA, CSSA, SSSA","publisherLocation":"Madison, WI","doi":"10.2134/jeq2011.0426","usgsCitation":"Kalkhoff, S.J., Vecchia, A.V., Capel, P.D., and Meyer, M.T., 2012, Eleven-year trend in acetanilide pesticide degradates in the Iowa River, Iowa: Journal of Environmental Quality, v. 41, no. 5, p. 1566-1579, https://doi.org/10.2134/jeq2011.0426.","productDescription":"14 p.","startPage":"1566","endPage":"1579","numberOfPages":"14","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":262252,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262224,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2011.0426"}],"country":"United States","state":"Iowa;Minnesota","otherGeospatial":"Cedar River","volume":"41","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d518de4b002b5ec71a82a","contributors":{"authors":[{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":467749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":467747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":467746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040162,"text":"ofr20121186 - 2012 - Disputes over science and dispute resolution approaches - A survey of Bureau of Reclamation employees","interactions":[],"lastModifiedDate":"2012-10-10T17:16:12","indexId":"ofr20121186","displayToPublicDate":"2012-10-03T00:00:00","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":"2012-1186","title":"Disputes over science and dispute resolution approaches - A survey of Bureau of Reclamation employees","docAbstract":"Water resources in parts of the Western United States are over-allocated, which intensifies the pressure to support water management decisions with strong scientific evidence. Because scientific studies sometimes provide uncertain or competing results or recommendations, science can become a source of disputes during decision-making processes. The Bureau of Reclamation (Reclamation) is an important water manager in the Western United States, and Reclamation decision processes are often contested by a variety of affected constituencies. We conducted a Web-based survey of Reclamation employees to determine (1) which types of disputes over science are occurring and how common they are, (2) which approaches have been used by Reclamation to try to resolve these different types of disputes, (3) how useful Reclamation employees find these approaches at resolving these types of disputes, (4) the final outcomes of these disputes and the decision-making processes that were hindered by the disputes over science, and (5) the potential usefulness of several different types of dispute resolution resources that Reclamation could provide for employees that become involved in disputes over science. The calculated minimum response rate for the survey was 59 percent. Twenty-five percent of respondents indicated that they had been involved in a dispute over science while working at Reclamation. Native species and species listed under the Endangered Species Act of 1973 were the most common issue types reported in these disputes over science. Survey respondents indicated that they used a variety of approaches to resolve disputes over science and rated most approaches as either neutral or somewhat helpful in these endeavors. Future research is needed to determine whether there are additional variables underlying these disputes that were not measured in this survey that may identify when dispute resolution methods are most effective, or whether resolving aspects of these disputes, such as differing interpretations of science, is very difficult or impossible regardless of the dispute resolution methods used.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121186","usgsCitation":"Burkardt, N., and Ruell, E.W., 2012, Disputes over science and dispute resolution approaches - A survey of Bureau of Reclamation employees: U.S. Geological Survey Open-File Report 2012-1186, v, 49 p., https://doi.org/10.3133/ofr20121186.","productDescription":"v, 49 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":262250,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1186.JPG"},{"id":262225,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1186/","linkFileType":{"id":5,"text":"html"}},{"id":262226,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1186/OF12-1186.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d5179e4b002b5ec71a824","contributors":{"authors":[{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":467809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruell, Emily W.","contributorId":28465,"corporation":false,"usgs":true,"family":"Ruell","given":"Emily","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":467810,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040171,"text":"sir20125176C - 2012 - Lahar hazard zones for eruption-generated lahars in the Lassen Volcanic Center, California","interactions":[],"lastModifiedDate":"2019-05-30T13:28:20","indexId":"sir20125176C","displayToPublicDate":"2012-10-03T00:00:00","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":"2012-5176","chapter":"C","title":"Lahar hazard zones for eruption-generated lahars in the Lassen Volcanic Center, California","docAbstract":"Lahar deposits are found in drainages that head on or near Lassen Peak in northern California, demonstrating that these valleys are susceptible to future lahars. In general, lahars are uncommon in the Lassen region. Lassen Peak's lack of large perennial snowfields and glaciers limits its potential for lahar development, with the winter snowpack being the largest source of water for lahar generation. The most extensive lahar deposits are related to the May 1915 eruption of Lassen Peak, and evidence for pre-1915 lahars is sparse and spatially limited. The May 1915 eruption of Lassen Peak was a small-volume eruption that generated a snow and hot-rock avalanche, a pyroclastic flow, and two large and four smaller lahars. The two large lahars were generated on May 19 and 22 and inundated sections of Lost and Hat Creeks. We use 80 years of snow depth measurements from Lassen Peak to calculate average and maximum liquid water depths, 2.02 meters (m) and 3.90 m respectively, for the month of May as estimates of the 1915 lahars. These depths are multiplied by the areal extents of the eruptive deposits to calculate a water volume range, 7.05-13.6x10<sup>6</sup> cubic meters (m<sup>3</sup>). We assume the lahars were a 50/50 mix of water and sediment and double the water volumes to provide an estimate of the 1915 lahars, 13.2-19.8x10<sup>6</sup> m<sup>3</sup>. We use a representative volume of 15x106 m<sup>3</sup> in the software program LAHARZ to calculate cross-sectional and planimetric areas for the 1915 lahars. The resultant lahar inundation zone reasonably portrays both of the May 1915 lahars. We use this same technique to calculate the potential for future lahars in basins that head on or near Lassen Peak. LAHARZ assumes that the total lahar volume does not change after leaving the potential energy, <i>H/L</i>, cone (the height of the edifice, <i>H</i>, down to the approximate break in slope at its base, <i>L</i>); therefore, all water available to initiate a lahar is contained inside this cone. Because snow is the primary source of water for lahar generation, we assume that the maximum historical water equivalent, 3.90 m, covers the entire basin area inside the <i>H/L</i> cone. The product of planimetric area of each basin inside the <i>H/L</i> and the maximum historical water equivalent yields the maximum water volume available to generate a lahar. We then double the water volumes to approximate maximum lahar volumes. The maximum lahar volumes and an understanding of the statistical uncertainties inherent to the LAHARZ calculations guided our selection of six hypothetical volumes, 1, 3, 10, 30, 60, and 90x10<sup>6</sup> m<sup>3</sup>, to delineate concentric lahar inundation zones. The lahar inundation zones extend, in general, tens of kilometers away from Lassen Peak. The small, more-frequent lahar inundation zones (1 and 3x10<sup>6</sup> m<sup>3</sup>) are, on average, 10 km long. The exceptions are the zones in Warner Creek and Mill Creek, which extend much further. All but one of the small, more-frequent lahar inundation zones reach outside of the Lassen Volcanic National Park boundary, and the zone in Mill Creek extends well past the park boundary. All of the medium, moderately frequent lahar inundation zones (10 and 30x10<sup>6</sup> m<sup>3</sup>) extend past the park boundary and could potentially impact the communities of Viola and Old Station and State Highways 36 and 44, both north and west of Lassen Peak. The approximately 27-km-long on average, large, less-frequent lahar inundation zones (60 and 90x10<sup>6</sup> m<sup>3</sup>) represent worst-case lahar scenarios that are unlikely to occur. Flood hazards continue downstream from the toes of the lahars, potentially affecting communities in the Sacramento River Valley.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125176C","collaboration":"See also: SIR 2012-5176-A","usgsCitation":"Robinson, J., and Clynne, M.A., 2012, Lahar hazard zones for eruption-generated lahars in the Lassen Volcanic Center, California: U.S. Geological Survey Scientific Investigations Report 2012-5176, iv, 13 p., https://doi.org/10.3133/sir20125176C.","productDescription":"iv, 13 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":262248,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5176_C.gif"},{"id":262241,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5176/c/","linkFileType":{"id":5,"text":"html"}},{"id":262242,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5176/c/sir2012-5176-c.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Lassen Peak","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.16666666666667,40 ], [ -122.16666666666667,41 ], [ -121,41 ], [ -121,40 ], [ -122.16666666666667,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d51afe4b002b5ec71a836","contributors":{"authors":[{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":467830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":467829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040181,"text":"sir20125199 - 2012 - Hydrogeology of the Mammoth Spring groundwater basin and vicinity, Markagunt Plateau, Garfield, Iron, and Kane Counties, Utah","interactions":[],"lastModifiedDate":"2017-01-04T10:35:18","indexId":"sir20125199","displayToPublicDate":"2012-10-03T00:00:00","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":"2012-5199","title":"Hydrogeology of the Mammoth Spring groundwater basin and vicinity, Markagunt Plateau, Garfield, Iron, and Kane Counties, Utah","docAbstract":"The Markagunt Plateau, in southwestern Utah, lies at an altitude of about 9,500 feet, largely within Dixie National Forest. The plateau is capped primarily by Tertiary- and Quaternary-age volcanic rocks that overlie Paleocene- to Eocene-age limestone of the Claron Formation, which forms escarpments on the west and south sides of the plateau. In the southwestern part of the plateau, an extensive area of sinkholes has formed that resulted primarily from dissolution of the underlying limestone and subsequent subsidence and (or) collapse of the basalt, producing sinkholes as large as 1,000 feet across and 100 feet deep. Karst development in the Claron Formation likely has been enhanced by high infiltration rates through the basalt. Numerous large springs discharge from the volcanic rocks and underlying limestone on the Markagunt Plateau, including Mammoth Spring, one of the largest in Utah, with discharge that ranges from less than 5 to more than 300 cubic feet per second (ft<sup>3</sup>/s). In 2007, daily mean peak discharge of Mammoth Spring was bimodal, reaching 54 and 56 ft<sup>3</sup>/s, while daily mean peak discharge of the spring in 2008 and in 2009 was 199 ft<sup>3</sup>/s and 224 ft<sup>3</sup>/s, respectively. In both years, the rise from baseflow, about 6 ft<sup>3</sup>/s, to peak flow occurred over a 4- to 5-week period. Discharge from Mammoth Spring accounted for about 54 percent of the total peak streamflow in Mammoth Creek in 2007 and 2008, and about 46 percent in 2009, and accounted for most of the total streamflow during the remainder of the year. Results of major-ion analyses for water samples collected from Mammoth and other springs on the plateau during 2006 to 2009 indicated calcium-bicarbonate type water, which contained dissolved-solids concentrations that ranged from 91 to 229 milligrams per liter. Concentrations of major ions, trace elements, and nutrients did not exceed primary or secondary drinking-water standards; however, total and fecal coliform bacteria were present in water from Mammoth and other springs. Temperature and specific conductance of water from Mammoth and other springs showed substantial variance and generally were inversely related to changes in discharge during snowmelt runoff and rainfall events. Over the 3-year study period, daily mean temperature and specific conductance of water from Mammoth Spring ranged from 3.4 degrees Celsius (&deg;C) and 112 microsiemens per centimeter (&mu;S/cm) during peak flow from snowmelt runoff to 5.3&deg;C and 203 &mu;S/cm during baseflow conditions. Increases in specific conductance of the spring water prior to an increase in discharge in 2008&ndash;09 were likely the result of drainage of increasingly older water from storage. Variations in these parameters in water from two rise pools upstream from Mammoth Spring were the largest observed in relation to discharge and indicate a likely hydraulic connection to Mammoth Creek. Variations in water quality, discharge, and turbidity indicate a high potential for transport of contaminants from surface sources to Mammoth and other large springs in a matter of days. Results of dye-tracer tests indicated that recharge to Mammoth Spring largely originates from southwest of the spring and outside of the watershed for Mammoth Creek, particularly along the drainages of Midway and Long Valley Creeks, and in the Red Desert, Horse Pasture, and Hancock Peak areas, where karst development is greatest. A significant component of recharge to the spring takes place by both focused and diffuse infiltration through the basalt and into the underlying Claron limestone. Losing reaches along Mammoth Creek are also a source of rapid recharge to the spring. Maximum groundwater travel time to the spring during the snowmelt runoff period was about 7 days from sinking streams as far as 9 miles away and 1,900 feet higher, indicating a velocity of more than a mile per day. Response of the spring to rainfall events in the recharge area, however, indicated potential lag times of only about 1 to 2 days. Samples collected from Mammoth Spring during baseflow conditions and analyzed for tritium and sulfur-35 showed that groundwater in storage is relatively young, with apparent ages ranging from less than 1 year to possibly a few tens of years. Ratios of oxygen-18 and deuterium also showed that water from the spring represents a mixture of waters from different sources and altitudes. On the basis of evaluating results of dye-tracer tests and relations to adjacent basins, the recharge area for Mammoth Spring probably includes about 40 square miles within the Mammoth Creek watershed as well as at least 25 square miles outside and to the south of the watershed. Additional dye-tracer tests are needed to better define boundaries between the groundwater basins for Mammoth Spring and Duck Creek, Cascade, and Asay Springs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125199","collaboration":"Prepared in cooperation with the U.S. Forest Service","usgsCitation":"Spangler, L.E., 2012, Hydrogeology of the Mammoth Spring groundwater basin and vicinity, Markagunt Plateau, Garfield, Iron, and Kane Counties, Utah: U.S. Geological Survey Scientific Investigations Report 2012-5199, Report: vi, 56 p.; Plate: 18.0 x 24.5 inches, https://doi.org/10.3133/sir20125199.","productDescription":"Report: vi, 56 p.; Plate: 18.0 x 24.5 inches","numberOfPages":"66","additionalOnlineFiles":"Y","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":262269,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5199/","linkFileType":{"id":5,"text":"html"}},{"id":262270,"rank":400,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5199/pdf/sir20125199.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262276,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5199.jpg"},{"id":262289,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5199/pdf/sir20125199MammothPlate1.pdf","text":"Plate 1","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah","county":"Garfield County, Iron County, Kane County","otherGeospatial":"Markagunt Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.91666666666667,37.45 ], [ -112.91666666666667,37.75 ], [ -112.5,37.75 ], [ -112.5,37.45 ], [ -112.91666666666667,37.45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d51a7e4b002b5ec71a833","contributors":{"authors":[{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467834,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040141,"text":"70040141 - 2012 - Effects of a non-native biocontrol weevil, Larinus planus, and other emerging threats on populations of the federally threatened Pitcher's thistle, Cirsium pitcheri","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"70040141","displayToPublicDate":"2012-10-03T00:00:00","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":"Effects of a non-native biocontrol weevil, Larinus planus, and other emerging threats on populations of the federally threatened Pitcher's thistle, Cirsium pitcheri","docAbstract":"Larinus planus Frabicius (Curculionidae), is a seed-eating weevil that was inadvertently introduced into the US and was subsequently distributed in the US and Canada for the control of noxious thistle species of rangelands. It has been detected recently in the federally threatened Pitcher's thistle (Cirsium pitcheri). We assayed weevil damage in a natural population of Pitcher's thistle at Whitefish Dunes State Park, Door County, WI and quantified the impact on fecundity. We then estimated the impact of this introduced weevil and other emerging threats on two natural, uninvaded populations of Pitcher's thistle for which we have long-term demographic data for 16 yr (Wilderness State Park, Emmet County, MI) and 23 yr (Miller High Dunes, Indiana Dunes National Lakeshore, Porter County, IN). We used transition matrices to determine growth rates and project the potential effects of weevil damage, inbreeding, goldfinch predation, and vegetative succession on Pitcher's thistle population viability. Based on our models, weevil seed predation reduced population growth rate by 10&ndash;12%, but this reduction was enough to reduce time to extinction from 24 yr to 13 yr and 8 yr to 5 yr in the MI and IN population, respectively. This impact is particularly severe, given most populations of Pitcher's thistle throughout its range hover near or below replacement. This is the first report of unanticipated ecological impacts from a biocontrol agent on natural populations of Cirsium pitcheri.","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.2012.06.010","usgsCitation":"Havens, K., Jolls, C.L., Marik, J.E., Vitt, P., McEachern, A.K., and Kind, D., 2012, Effects of a non-native biocontrol weevil, Larinus planus, and other emerging threats on populations of the federally threatened Pitcher's thistle, Cirsium pitcheri: Biological Conservation, no. 155, p. 202-211, https://doi.org/10.1016/j.biocon.2012.06.010.","productDescription":"10 p.","startPage":"202","endPage":"211","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":262261,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262243,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2012.06.010"}],"country":"United States","issue":"155","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d5185e4b002b5ec71a827","contributors":{"authors":[{"text":"Havens, Kayri","contributorId":103768,"corporation":false,"usgs":true,"family":"Havens","given":"Kayri","email":"","affiliations":[],"preferred":false,"id":467763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jolls, Claudia L.","contributorId":36000,"corporation":false,"usgs":true,"family":"Jolls","given":"Claudia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":467759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marik, Julie E.","contributorId":86214,"corporation":false,"usgs":true,"family":"Marik","given":"Julie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vitt, Pati","contributorId":81602,"corporation":false,"usgs":true,"family":"Vitt","given":"Pati","email":"","affiliations":[],"preferred":false,"id":467760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEachern, A. Kathryn","contributorId":30165,"corporation":false,"usgs":true,"family":"McEachern","given":"A.","email":"","middleInitial":"Kathryn","affiliations":[],"preferred":false,"id":467758,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kind, Darcy","contributorId":92908,"corporation":false,"usgs":true,"family":"Kind","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":467762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040167,"text":"sir20125145 - 2012 - Assessment of the Coal-Bed Gas Total Petroleum System in the Cook Inlet-Susitna region, south-central Alaska","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"sir20125145","displayToPublicDate":"2012-10-03T00:00:00","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":"2012-5145","title":"Assessment of the Coal-Bed Gas Total Petroleum System in the Cook Inlet-Susitna region, south-central Alaska","docAbstract":"The Cook Inlet-Susitna region of south-central Alaska contains large quantities of gas-bearing coal of Tertiary age. The U.S. Geological Survey in 2011 completed an assessment of undiscovered, technically recoverable coal-bed gas resources underlying the Cook Inlet-Susitna region based on the total petroleum system (TPS) concept. The Cook Inlet Coal-Bed Gas TPS covers about 9,600,000 acres and comprises the Cook Inlet basin, Matanuska Valley, and Susitna lowland. The TPS contains one assessment unit (AU) that was evaluated for coal-bed gas resources between 1,000 and 6,000 feet in depth over an area of about 8,500,000 acres. Coal beds, which serve as both the source and reservoir for natural gas in the AU, were deposited during Paleocene-Pliocene time in mires associated with a large trunk-tributary fluvial system. Thickness of individual coal beds ranges from a few inches to more than 50 feet, with cumulative coal thickness of more than 800 feet in the western part of the basin. Coal rank ranges from lignite to subbituminous, with vitrinite reflectance values less than 0.6 percent throughout much of the AU. The AU is considered hypothetical because only a few wells in the Matanuska Valley have tested the coal-bed reservoirs, so the use of analog coal-bed gas production data was necessary for this assessment. In order to estimate reserves that might be added in the next 30 years, coal beds of the Upper Fort Union Formation in the Powder River Basin of Wyoming and Montana were selected as the production analog for Tertiary coal beds in the Cook Inlet-Susitna region. Upper Fort Union coal beds have similar rank (lignite to subbituminous), range of thickness, and coal-quality characteristics as coal beds of the Tertiary Kenai Group. By use of this analog, the mean total estimate of undiscovered coal-bed gas in the Tertiary Coal-Bed Gas AU is 4.674 trillion cubic feet (TCF) of gas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125145","collaboration":"Energy Resources Program","usgsCitation":"Rouse, W.A., and Houseknecht, D.W., 2012, Assessment of the Coal-Bed Gas Total Petroleum System in the Cook Inlet-Susitna region, south-central Alaska: U.S. Geological Survey Scientific Investigations Report 2012-5145, iv, 19 p., https://doi.org/10.3133/sir20125145.","productDescription":"iv, 19 p.","numberOfPages":"28","onlineOnly":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":262263,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5145.png"},{"id":262229,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5145/","linkFileType":{"id":5,"text":"html"}},{"id":262230,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5145/pdf/SIR_CookInlet_20125145.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet-susitna","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154,59 ], [ -154,63 ], [ -148,63 ], [ -148,59 ], [ -154,59 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d5160e4b002b5ec71a81e","contributors":{"authors":[{"text":"Rouse, William A. 0000-0002-0790-370X wrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0790-370X","contributorId":4172,"corporation":false,"usgs":true,"family":"Rouse","given":"William","email":"wrouse@usgs.gov","middleInitial":"A.","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":467817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":467816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040168,"text":"sir20125196 - 2012 - Conceptualization of the predevelopment groundwater flow system and transient water-level responses in Yucca Flat, Nevada National Security Site, Nevada","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"sir20125196","displayToPublicDate":"2012-10-03T00:00:00","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":"2012-5196","title":"Conceptualization of the predevelopment groundwater flow system and transient water-level responses in Yucca Flat, Nevada National Security Site, Nevada","docAbstract":"Contaminants introduced into the subsurface of Yucca Flat, Nevada National Security Site, by underground nuclear testing are of concern to the U.S. Department of Energy and regulators responsible for protecting human health and safety. The potential for contaminant movement away from the underground test areas and into the accessible environment is greatest by groundwater transport. The primary hydrologic control on this transport is evaluated and examined through a set of contour maps developed to represent the hydraulic-head distribution within the two major aquifer systems underlying the area. Aquifers and confining units within these systems were identified and their extents delineated by merging and analyzing hydrostratigraphic framework models developed by other investigators from existing geologic information. Maps of the hydraulic-head distributions in the major aquifer systems were developed from a detailed evaluation and assessment of available water-level measurements. The maps, in conjunction with regional and detailed hydrogeologic cross sections, were used to conceptualize flow within and between aquifer systems. Aquifers and confining units are mapped and discussed in general terms as being one of two aquifer systems: alluvial-volcanic or carbonate. The carbonate aquifers are subdivided and mapped as independent regional and local aquifers, based on the continuity of their component rock. Groundwater flow directions, approximated from potentiometric contours, are indicated on the maps and sections and discussed for the alluvial-volcanic and regional carbonate aquifers. Flow in the alluvial-volcanic aquifer generally is constrained by the bounding volcanic confining unit, whereas flow in the regional carbonate aquifer is constrained by the siliceous confining unit. Hydraulic heads in the alluvial-volcanic aquifer typically range from 2,400 to 2,530 feet and commonly are elevated about 20-100 feet above heads in the underlying regional carbonate aquifer. Flow directions in the alluvial-volcanic aquifer are variable and are controlled by localized areas where small amounts of water can drain into the regional carbonate aquifer. These areas commonly are controlled by geologic structures, such as Yucca fault. Flow in the regional carbonate aquifer generally drains to the center of the basin; from there flow is to the south-southeast out of the study area toward downgradient discharge areas. Southward flow in the regional carbonate aquifer occurs in a prominent potentiometric trough that results from a faulted zone of enhanced permeability centered about Yucca fault. Vertical hydraulic gradients between the aquifer systems are downward throughout the study area; however, flow from the alluvial-volcanic aquifer into the underlying carbonate aquifer is believed to be minor because of the intervening confining unit. Transient water levels were identified and analyzed to understand hydraulic responses to stresses in Yucca Flat. Transient responses have only a minimal influence on the general predevelopment flow directions in the aquifers. The two primary anthropogenic stresses on the groundwater system since about 1950 are nuclear testing and pumping. Most of the potentiometric response in the aquifers to pumping or past nuclear testing is interim and localized. Persistent, long-lasting changes in hydraulic head caused by nuclear testing occur only in confining units where groundwater fluxes are negligible. A third stress on the groundwater system is natural recharge, which can cause minor, short- and long-term changes in water levels. Long-term hydrographs affected by natural recharge, grouped by similar trend, cluster in distinct areas of Yucca Flat and are controlled primarily by spatial differences in local recharge patterns.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125196","collaboration":"Prepared in cooperation with the U.S. Department of Energy Office of Environmental Management, National Nuclear Security Administration, Nevada Site Office, under Interagency Agreement DE-NA0001654","usgsCitation":"Fenelon, J.M., Sweetkind, D., Elliott, P.E., and Laczniak, R.J., 2012, Conceptualization of the predevelopment groundwater flow system and transient water-level responses in Yucca Flat, Nevada National Security Site, Nevada: U.S. Geological Survey Scientific Investigations Report 2012-5196, SIR 2012-5196: vi, 62; Report Package; 4 Plates: 42 x 36.01 inches and 24 x 40 inches; Appendixes 1-3, https://doi.org/10.3133/sir20125196.","productDescription":"SIR 2012-5196: vi, 62; Report Package; 4 Plates: 42 x 36.01 inches and 24 x 40 inches; Appendixes 1-3","numberOfPages":"72","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":262245,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5196.jpg"},{"id":262231,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5196/","linkFileType":{"id":5,"text":"html"}},{"id":262232,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262233,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate01.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262234,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate02.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262235,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate03.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262236,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5196/pdf/sir2012-5196Plate04.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Universal Transverse Mercator Projection, Zone 11","datum":"North Amercian Datum of 1983","country":"United States","state":"Nevada","otherGeospatial":"Yucca Flat","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.83333333333333,36.5 ], [ -116.83333333333333,37.5 ], [ -115.5,37.5 ], [ -115.5,36.5 ], [ -116.83333333333333,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d5171e4b002b5ec71a821","contributors":{"authors":[{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":467820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Peggy E. 0000-0002-7264-664X pelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-7264-664X","contributorId":3805,"corporation":false,"usgs":true,"family":"Elliott","given":"Peggy","email":"pelliott@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":467819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467821,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040166,"text":"sir20125134 - 2012 - Water quality, hydrology, and simulated response to changes in phosphorus loading of Mercer Lake, Iron County, Wisconsin, with special emphasis on the effects of wastewater discharges","interactions":[],"lastModifiedDate":"2018-02-06T12:26:32","indexId":"sir20125134","displayToPublicDate":"2012-10-03T00:00:00","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":"2012-5134","title":"Water quality, hydrology, and simulated response to changes in phosphorus loading of Mercer Lake, Iron County, Wisconsin, with special emphasis on the effects of wastewater discharges","docAbstract":"Mercer Lake is a relatively shallow drainage lake in north-central Wisconsin. The area near the lake has gone through many changes over the past century, including urbanization and industrial development. To try to improve the water quality of the lake, actions have been taken, such as removal of the lumber mill and diversion of all effluent from the sewage treatment plant away from the lake; however, it is uncertain how these actions have affected water quality. Mercer Lake area residents and authorities would like to continue to try to improve the water quality of the lake; however, they would like to place their efforts in the actions that will have the most beneficial effects. To provide a better understanding of the factors affecting the water quality of Mercer Lake, a detailed study of the lake and its watershed was conducted by the U.S. Geological Survey in collaboration with the Mercer Lake Association. The purposes of the study were to describe the water quality of the lake and the composition of its sediments; quantify the sources of water and phosphorus loading to the lake, including sources associated with wastewater discharges; and evaluate the effects of past and future changes in phosphorus inputs on the water quality of the lake using eutrophication models (models that simulate changes in phosphorus and algae concentrations and water clarity in the lake). Based on analyses of sediment cores and monitoring data collected from the lake, the water quality of Mercer Lake appears to have degraded as a result of the activities in its watershed over the past 100 years. The water quality appears to have improved, however, since a sewage treatment plant was constructed in 1965 and its effluent was routed away from the lake in 1995. Since 2000, when a more consistent monitoring program began, the water quality of the lake appears to have changed very little. During the two monitoring years (MY) 2008-09, the average summer near-surface concentration of total phosphorus was 0.023 mg/L, indicating the lake is borderline mesotrophic-eutrophic, or has moderate to high concentrations of phosphorus, whereas the average summer chlorophyll a concentration was 3.3 mg/L and water clarity, as measured with a Secchi depth, was 10.4 ft, both indicating mesotrophic conditions or that the lake has a moderate amount of algae and water clarity. Although actions have been taken to eliminate the wastewater discharges, the bottom sediment still has slightly elevated concentrations of several pollutants from wastewater discharges, lumber operations, and roadway drainage, and a few naturally occurring metals (such as iron). None of the concentrations, however, were high enough above the defined thresholds to be of concern. Based on nitrogen to phosphorus ratios, the productivity (algal growth) in Mercer Lake should typically be limited by phosphorus; therefore, understanding the phosphorus input to the lake is important when management efforts to improve or prevent degradation of the lake water quality are considered. Total inputs of phosphorus to Mercer Lake were directly estimated for MY 2008-09 at about 340 lb/yr and for a recent year with more typical hydrology at about 475 lb/yr. During these years, the largest sources of phosphorus were from Little Turtle Inlet, which contributed about 45 percent, and the drainage area near the lake containing the adjacent urban and residential developments, which contributed about 24 percent. Prior to 1965, when there was no sewage treatment plant and septic systems and other untreated systems contributed nutrients to the watershed, phosphorus loadings were estimated to be about 71 percent higher than during around 2009. In 1965, a sewage treatment plant was built, but its effluent was released in the downstream end of the lake. Depending on various assumptions on how much effluent was retained in the lake, phosphorus inputs from wastewater may have ranged from 0 to 342 lb. Future highway and stormwater improvements have been identified in the Mercer Infrastructure Improvement Project, and if they are done with the proposed best management practices, then phosphorus inputs to the lake may decrease by about 40 lb. Eutrophication models [Canfield and Bachman model (1981) and Carlson Trophic State Index equations (1977)] were used to predict how the water quality of Mercer Lake should respond to changes in phosphorus loading. A relatively linear response was found between phosphorus loading and phosphorus and chlorophyll a concentrations in the lake, with changes in phosphorus concentrations being slightly less (about 80 percent) and changes in chlorophyll a concentrations being slightly more (about 120 percent) than the changes in phosphorus loadings to the lake. Water clarity, indicated by Secchi depths, responded more to decreases in phosphorus loading than to increases in loading. Results from the eutrophication models indicated that the lake should have been negatively affected by the wastewater discharges. Prior to 1965, when there was no sewage treatment plant effluent and inputs from the septic systems and other untreated systems were thought to be high, the lake should have been eutrophic; near the surface, average phosphorus concentrations were almost 0.035 mg/L, chlorophyll a concentrations were about 7 &mu;g/L, and Secchi depths were about 6 ft, which agreed with the shallower Secchi depths during this time estimated from the sediment-core analysis. The models indicated that between 1965 and 1995, when the lake retained some of the effluent from the new sewage treatment plant, water quality should have been between the conditions estimated prior to 1965 and what was expected during typical hydrologic conditions around MY 2008-09. The models also indicated that if the future Mercer Infrastructure Improvement Project is conducted with the best management practices as proposed, the water quality in the lake could improve slightly from that measured during 2006-10. Because of the small amount of phosphorus that is presently input into Mercer Lake any additional phosphorus added to the lake could degrade water quality; therefore, management actions can usefully focus on minimizing future phosphorus inputs. Phosphorus released from the sediments of a degraded lake often delays its response to decreases in external phosphorus loading, especially in shallow, frequently mixed systems. Mercer Lake, however, remains stratified throughout most of the summer, and phosphorus released from the sediments represents only about 6 percent, or a small fraction, of the total phosphorus load to the lake. Therefore, the phosphorus trapped in the sediments should minimally affect the long-term water quality of the lake and should not delay the response in its productivity to future changes in nutrient loading from its watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125134","collaboration":"Prepared in cooperation with the Mercer School District","usgsCitation":"Robertson, D.M., Garn, H.S., Rose, W., Juckem, P.F., and Reneau, P.C., 2012, Water quality, hydrology, and simulated response to changes in phosphorus loading of Mercer Lake, Iron County, Wisconsin, with special emphasis on the effects of wastewater discharges: U.S. Geological Survey Scientific Investigations Report 2012-5134, viii, 58 p., https://doi.org/10.3133/sir20125134.","productDescription":"viii, 58 p.","numberOfPages":"70","onlineOnly":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":262244,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5134.png"},{"id":262227,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5134/","linkFileType":{"id":5,"text":"html"}},{"id":262228,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5134/pdf/MercerLake_SIR20125134.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"40000","country":"United States","state":"Wisconsin","county":"Iron","otherGeospatial":"Mercer Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.11666666666666,46.15 ], [ -90.11666666666666,46.25 ], [ -89.96666666666667,46.25 ], [ -89.96666666666667,46.15 ], [ -90.11666666666666,46.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d51d2e4b002b5ec71a842","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garn, Herbert S. hsgarn@usgs.gov","contributorId":2592,"corporation":false,"usgs":true,"family":"Garn","given":"Herbert","email":"hsgarn@usgs.gov","middleInitial":"S.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, William J. wjrose@usgs.gov","contributorId":2182,"corporation":false,"usgs":true,"family":"Rose","given":"William J.","email":"wjrose@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@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":467812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467815,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040160,"text":"sir20125184 - 2012 - Presence of selected chemicals of emerging concern in water and bottom sediment from the St. Louis River, St. Louis Bay, and Superior Bay, Minnesota and Wisconsin, 2010","interactions":[],"lastModifiedDate":"2012-10-19T17:16:26","indexId":"sir20125184","displayToPublicDate":"2012-10-03T00:00:00","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":"2012-5184","title":"Presence of selected chemicals of emerging concern in water and bottom sediment from the St. Louis River, St. Louis Bay, and Superior Bay, Minnesota and Wisconsin, 2010","docAbstract":"The St. Louis Bay of Lake Superior receives substantial urban runoff, wastewater treatment plant effluent, and industrial effluent. In 1987, the International Joint Commission designated the St. Louis Bay portion of the lower St. Louis River as one of the Great Lakes Areas of Concern. Concerns exist about the potential effects of chemicals of emerging concern on aquatic biota because many of these chemicals, including endocrine active chemicals, have been shown to affect the endocrine systems of fish. To determine the occurrence of chemicals of emerging concern in the St. Louis River, the St. Louis Bay, and Superior Bay, the U.S. Geological Survey in cooperation with the Minnesota Pollution Control Agency and the Wisconsin Department of Natural Resources collected water and bottom-sediment samples from 40 sites from August through October 2010. The objectives of this study were to (1) identify the extent to which chemicals of emerging concern, including pharmaceuticals, hormones, and other organic chemicals, occur in the St. Louis River, St. Louis Bay, and Superior Bay, and (2) identify the extent to which the chemicals may have accumulated in bottom sediment of the study area. Samples were analyzed for selected wastewater indicators, hormones, sterols, bisphenol <i>A</i>, and human-health pharmaceuticals. During this study, 33 of 89 chemicals of emerging concern were detected among all water samples collected and 56 of 104 chemicals of emerging concern were detected in bottom-sediment samples. The chemical <i>N,N</i>-diethyl-<i>meta</i>-toluamide (DEET) was the most commonly detected chemical in water samples and 2,6-dimethylnaphthalene was the most commonly detected chemical in bottom-sediment samples. In general, chemicals of emerging concern were detected at a higher frequency in bottom-sediment samples than in water samples. Estrone (a steroid hormone) and hexahydrohexamethyl cyclopentabensopyran (a synthetic fragrance) were the most commonly detected endocrine active chemicals in water samples; <i>beta</i>-sitosterol (a plant sterol), estrone, and 4-<i>tert</i>-octylphenol (an alkylphenol) were the most commonly detected endocrine active chemicals in bottom-sediment samples. The greater detection frequency of chemicals in bottom-sediment samples compared to the detection frequency in water samples indicates that bottom sediment is an important sink for chemicals of emerging concern. At least one polycyclic aromatic hydrocarbon was detected in every sample; and in most samples, all nine polycyclic aromatic hydrocarbons included in analyses were detected. Bottom sediment collected from Superior Bay had the most polycyclic aromatic hydrocarbon detections of the sediment sampling locations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125184","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency and the Wisconsin Department of Natural Resources","usgsCitation":"Christensen, V.G., Lee, K., Kieta, K.A., and Elliott, S.M., 2012, Presence of selected chemicals of emerging concern in water and bottom sediment from the St. Louis River, St. Louis Bay, and Superior Bay, Minnesota and Wisconsin, 2010: U.S. Geological Survey Scientific Investigations Report 2012-5184, vii, 23 p., https://doi.org/10.3133/sir20125184.","productDescription":"vii, 23 p.","numberOfPages":"23","onlineOnly":"Y","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":262251,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5184.gif"},{"id":262215,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5184/","linkFileType":{"id":5,"text":"html"}},{"id":262216,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5184/sir2012-5184.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Minnesota;Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.25,46.5 ], [ -93.25,48 ], [ -91.5,48 ], [ -91.5,46.5 ], [ -93.25,46.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"506d51bfe4b002b5ec71a83c","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieta, Kristen A. kkieta@usgs.gov","contributorId":5524,"corporation":false,"usgs":true,"family":"Kieta","given":"Kristen","email":"kkieta@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":467806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467803,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040152,"text":"70040152 - 2012 - Geogenic sources of benzene in aquifers used for public supply, California","interactions":[],"lastModifiedDate":"2017-04-04T14:13:26","indexId":"70040152","displayToPublicDate":"2012-10-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Geogenic sources of benzene in aquifers used for public supply, California","docAbstract":"Statistical evaluation of two large statewide data sets from the California State Water Board's Groundwater Ambient Monitoring and Assessment Program (1973 wells) and the California Department of Public Health (12417 wells) reveals that benzene occurs infrequently (1.7%) and at generally low concentrations (median detected concentration of 0.024 &mu;g/L) in groundwater used for public supply in California. When detected, benzene is more often related to geogenic (45% of detections) than anthropogenic sources (27% of detections). Similar relations are evident for the sum of 17 hydrocarbons analyzed. Benzene occurs most frequently and at the highest concentrations in old, brackish, and reducing groundwater; the detection frequency was 13.0% in groundwater with tritium &#60;1 pCi/L, specific conductance &#62;1600 &mu;S/cm, and anoxic conditions. This groundwater is typically deep (&#62;180 m). Benzene occurs somewhat less frequently in recent, shallow, and reducing groundwater; the detection frequency was 2.6% in groundwater with tritium &#8805;1 pCi/L, depth &#60;30 m, and anoxic conditions. Evidence for geogenic sources of benzene include: higher concentrations and detection frequencies with increasing well depth, groundwater age, and proximity to oil and gas fields; and higher salinity and lower chloride/iodide ratios in old groundwater with detections of benzene, consistent with interactions with oil-field brines.","language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es302024c","usgsCitation":"Landon, M.K., and Belitz, K., 2012, Geogenic sources of benzene in aquifers used for public supply, California: Environmental Science & Technology, v. 46, no. 16, p. 8689-8697, https://doi.org/10.1021/es302024c.","productDescription":"8 p.","startPage":"8689","endPage":"8697","numberOfPages":"9","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262249,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262214,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es302024c"}],"country":"United States","state":"California","volume":"46","issue":"16","noUsgsAuthors":false,"publicationDate":"2012-08-09","publicationStatus":"PW","scienceBaseUri":"506d519de4b002b5ec71a830","contributors":{"authors":[{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467777,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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