{"pageNumber":"1653","pageRowStart":"41300","pageSize":"25","recordCount":184582,"records":[{"id":70118596,"text":"70118596 - 2012 - Temporal and spatial patterns in wind stress and wind stress curl over the central Southern California Bight","interactions":[],"lastModifiedDate":"2017-05-03T13:47:19","indexId":"70118596","displayToPublicDate":"2012-04-15T14:07:02","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial patterns in wind stress and wind stress curl over the central Southern California Bight","docAbstract":"<p>In 2001, the U.S. Geological Survey, together with several other federal and municipal agencies, began a series of field programs to determine along and cross-shelf transport patterns over the continental shelves in the central Southern California Bight. As a part of these programs, moorings that monitor winds were deployed off the Palos Verdes peninsula and within San Pedro Bay for six 3&ndash;4 month summer and winter periods between 2001 and 2008. In addition, nearly continuous records of winds for this 7-year period were obtained from a terrestrial site at the coast and from a basin site offshore of the long-term coastal site. The mean annual winds are downcoast at all sites. The alongshelf components of wind stress, which are the largest part of the low-frequency wind stress fields, are well correlated between basin, shelf and coastal sites. On average, the amplitude of alongshelf fluctuations in wind stress are 3&ndash;4 times larger over the offshore basin, compared to the coastal site, irrespective of whether the fluctuations represent the total, or just the correlated portion of the wind stress field. The curl in the large-scale wind stress tends to be positive, especially in the winter season when the mean wind stress is downcoast and larger at the offshore basin site than at the beach. However, since the fluctuation in wind stress amplitudes are usually larger than the mean, periods of weak negative curl do occur, especially in the summer season when the largest normalized differences in the amplitude of wind stress fluctuations are found in the nearshore region of the coastal ocean. Even though the low-frequency wind stress field is well-correlated over the continental shelf and offshore basins, out to distances of 35 km or more from the coast, winds even 10 km inshore of the beach do not represent the coastal wind field, at least in the summer months. The seasonal changes in the spatial structures in wind stress amplitudes suggest that an assessment of the amplitude of the responses of coastal ocean processes to wind forcing is complex and that the responses may have significant seasonal structures.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2012.03.006","usgsCitation":"Noble, M.A., Rosenberger, K., Rosenfeld, L.K., and Robertson, G.L., 2012, Temporal and spatial patterns in wind stress and wind stress curl over the central Southern California Bight: Continental Shelf Research, v. 38, p. 98-109, https://doi.org/10.1016/j.csr.2012.03.006.","productDescription":"12 p.","startPage":"98","endPage":"109","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026036","costCenters":[],"links":[{"id":291339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291338,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.csr.2012.03.006"}],"country":"United States","state":"California","otherGeospatial":"Southern California Bight","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.223876953125,\n              33.30987251398259\n            ],\n            [\n              -119.08767700195311,\n              33.704920213014425\n            ],\n            [\n              -119.09042358398439,\n              34.098159345215535\n            ],\n            [\n              -118.3941650390625,\n              33.97753113740941\n            ],\n            [\n              -117.68829345703125,\n              33.65120829920497\n            ],\n            [\n              -117.67868041992188,\n              33.305281685899445\n            ],\n            [\n              -118.223876953125,\n              33.30987251398259\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552f8bc9e4b0b22a1580320f","contributors":{"authors":[{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Kurt J.","contributorId":12934,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt J.","affiliations":[],"preferred":false,"id":497116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenfeld, Leslie K.","contributorId":86036,"corporation":false,"usgs":true,"family":"Rosenfeld","given":"Leslie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":497118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, George L.","contributorId":58199,"corporation":false,"usgs":true,"family":"Robertson","given":"George","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":497117,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038053,"text":"sir20115221 - 2012 - Hydrologic, water-quality, and biological characteristics of the North Fork Flathead River, Montana, water years 2007-2008","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"sir20115221","displayToPublicDate":"2012-04-14T00:00:00","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":"2011-5221","title":"Hydrologic, water-quality, and biological characteristics of the North Fork Flathead River, Montana, water years 2007-2008","docAbstract":"In water year 2007, the U.S. Geological Survey, in cooperation with the National Park Service, began a 2-year study to collect hydrologic, water-quality, and biological data to provide a baseline characterization of the North Fork Flathead River from the United States-Canada border to its confluence with the Middle Fork of the Flathead River near Columbia Falls, Montana. Although mining in the Canadian portion of the North Fork Basin was banned in 2010 by a Memorandum of Understanding issued by the Province of British Columbia, baseline characterization was deemed important for the evaluation of any potential future changes in hydrology, water quality, or aquatic biology in the basin. The North Fork Basin above Columbia Falls (including Canada) drains an area of 1,564 square miles, and the study area encompasses the portion of the basin in Montana, which is 1,126 square miles. Seasonal patterns in the hydrology of the North Fork are dominated by the accumulation and melting of seasonal snowpack in the basin. Low-flow conditions occurred during the late-summer, fall, and winter months, and high-flow conditions coincided with the spring snowmelt. Substantial gains in streamflow occurred along the study reach of the North Fork, 85 percent of which were accounted for by tributary inflows during low-flow conditions, indicating unmeasured streamflow inputs along the main stem were 15 percent or less.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115221","collaboration":"In cooperation with the National Park Service","usgsCitation":"Mills, T.J., Schweiger, E.W., Mast, M.A., and Clow, D.W., 2012, Hydrologic, water-quality, and biological characteristics of the North Fork Flathead River, Montana, water years 2007-2008: U.S. Geological Survey Scientific Investigations Report 2011-5221, vii, 46 p.; Appendices, https://doi.org/10.3133/sir20115221.","productDescription":"vii, 46 p.; Appendices","startPage":"i","endPage":"67","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2006-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":254520,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5221.png"},{"id":254519,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5221/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"North Fork Flathead River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a36a0e4b0c8380cd60871","contributors":{"authors":[{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schweiger, E. William","contributorId":53635,"corporation":false,"usgs":true,"family":"Schweiger","given":"E.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":463351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463349,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156340,"text":"70156340 - 2012 - Advancing global marine biogeography research with open-source GIS software and cloud-computing","interactions":[],"lastModifiedDate":"2015-08-19T16:45:40","indexId":"70156340","displayToPublicDate":"2012-04-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3618,"text":"Transactions in GIS","active":true,"publicationSubtype":{"id":10}},"title":"Advancing global marine biogeography research with open-source GIS software and cloud-computing","docAbstract":"<p><span>Across many scientific domains, the ability to aggregate disparate datasets enables more meaningful global analyses. Within marine biology, the Census of Marine Life served as the catalyst for such a global data aggregation effort. Under the Census framework, the Ocean Biogeographic Information System was established to coordinate an unprecedented aggregation of global marine biogeography data. The OBIS data system now contains 31.3 million observations, freely accessible through a geospatial portal. The challenges of storing, querying, disseminating, and mapping a global data collection of this complexity and magnitude are significant. In the face of declining performance and expanding feature requests, a redevelopment of the OBIS data system was undertaken. Following an Open Source philosophy, the OBIS technology stack was rebuilt using PostgreSQL, PostGIS, GeoServer and OpenLayers. This approach has markedly improved the performance and online user experience while maintaining a standards-compliant and interoperable framework. Due to the distributed nature of the project and increasing needs for storage, scalability and deployment flexibility, the entire hardware and software stack was built on a Cloud Computing environment. The flexibility of the platform, combined with the power of the application stack, enabled rapid re-development of the OBIS infrastructure, and ensured complete standards-compliance.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1467-9671.2012.01310.x","usgsCitation":"Fujioka, E., Vanden Berghe, E., Donnelly, B., Castillo, J., Cleary, J., Holmes, C., McKnight, S., and Halpin, P., 2012, Advancing global marine biogeography research with open-source GIS software and cloud-computing: Transactions in GIS, v. 16, no. 2, p. 143-160, https://doi.org/10.1111/j.1467-9671.2012.01310.x.","productDescription":"17 p.","startPage":"143","endPage":"160","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":306977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-13","publicationStatus":"PW","scienceBaseUri":"55d5a8ace4b0518e3546a4aa","contributors":{"authors":[{"text":"Fujioka, Ei","contributorId":146701,"corporation":false,"usgs":false,"family":"Fujioka","given":"Ei","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":568758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanden Berghe, Edward","contributorId":146666,"corporation":false,"usgs":false,"family":"Vanden Berghe","given":"Edward","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":568759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donnelly, Ben","contributorId":146702,"corporation":false,"usgs":false,"family":"Donnelly","given":"Ben","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":568760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castillo, Julio","contributorId":146703,"corporation":false,"usgs":false,"family":"Castillo","given":"Julio","email":"","affiliations":[],"preferred":false,"id":568761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cleary, Jesse","contributorId":146704,"corporation":false,"usgs":false,"family":"Cleary","given":"Jesse","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":568762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holmes, Chris","contributorId":146705,"corporation":false,"usgs":false,"family":"Holmes","given":"Chris","email":"","affiliations":[],"preferred":false,"id":568763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKnight, Sean","contributorId":146706,"corporation":false,"usgs":false,"family":"McKnight","given":"Sean","email":"","affiliations":[],"preferred":false,"id":568764,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Halpin, patrick","contributorId":146707,"corporation":false,"usgs":false,"family":"Halpin","given":"patrick","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":568765,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70038045,"text":"sir20125058 - 2012 - Integration of new geologic mapping and satellite-derived quartz mapping yields insights into the structure of the Roberts Mountains allochthon applicable to assessments for concealed Carlin-type gold deposits","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"sir20125058","displayToPublicDate":"2012-04-13T00:00:00","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":"2012-5058","title":"Integration of new geologic mapping and satellite-derived quartz mapping yields insights into the structure of the Roberts Mountains allochthon applicable to assessments for concealed Carlin-type gold deposits","docAbstract":"Geologic mapping and remote sensing across north-central Nevada enable recognition of a thick sheet of Middle and Upper Ordovician Valmy Formation quartzite that structurally overlies folded and faulted Ordovician through Devonian stratigraphic units of the Roberts Mountains allochthon. In the northern Independence Mountains and nearby Double Mountain area, the Valmy Formation is in fault contact with Ordovician through Silurian, predominantly clastic, sedimentary rocks of the Roberts Mountains allochthon that were deformed prior to, or during, emplacement of the Valmy thrust sheet. Similar structural relations are recognized discontinuously for 200 kilometers along the strike of the Roberts Mountains allochthon in mapping guided by regional remote-sensing-based (ASTER) quartz maps. Overall thicknesses of deformed Roberts Mountains allochthon units between the base of the Valmy and the top of underlying carbonate rocks that host large Carlin-type gold deposits varies on the order of hundreds of meters but is not known to exceed 700 meters. The base of the Valmy thrust sheet is a complimentary datum in natural resource exploration and mineral resource assessment for concealed Carlin-type gold deposits.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125058","usgsCitation":"Holm-Denoma, C.S., Hofstra, A.H., Rockwell, B.W., and Noble, P.J., 2012, Integration of new geologic mapping and satellite-derived quartz mapping yields insights into the structure of the Roberts Mountains allochthon applicable to assessments for concealed Carlin-type gold deposits: U.S. Geological Survey Scientific Investigations Report 2012-5058, iv, 5 p., https://doi.org/10.3133/sir20125058.","productDescription":"iv, 5 p.","startPage":"i","endPage":"5","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":254515,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5058.gif"},{"id":254511,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5058/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c8ce4b0c8380cd62e1f","contributors":{"authors":[{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, Paula J.","contributorId":40455,"corporation":false,"usgs":true,"family":"Noble","given":"Paula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463338,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038044,"text":"ds672 - 2012 - Geochemical and hydrologic data for San Marcos Springs recharge characterization near San Marcos, Texas, November 2008--December 2010","interactions":[],"lastModifiedDate":"2016-08-08T09:08:15","indexId":"ds672","displayToPublicDate":"2012-04-13T00:00:00","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":"672","title":"Geochemical and hydrologic data for San Marcos Springs recharge characterization near San Marcos, Texas, November 2008--December 2010","docAbstract":"<p>During 2008&ndash;10, the U.S. Geological Survey, in cooperation with the San Antonio Water System, collected geochemical and hydrologic data in Bexar, Comal, and Hays Counties, Texas, to define and characterize the sources of recharge to San Marcos Springs. Precipitation samples were collected for stable isotope analysis at 1 site and water-quality samples were collected at 7 springs, 21 wells, and 9 stream sites in the study area between November 2008 and December 2010. Continuous water-quality monitors were installed in three springs, two wells, and at one stream site. Three continuous stream-gaging stations were installed to measure gage height and a stagedischarge rating was developed at two of the three sites. Depth to water below land surface was continuously measured in two wells.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds672","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Crow, C.L., 2012, Geochemical and hydrologic data for San Marcos Springs recharge characterization near San Marcos, Texas, November 2008--December 2010: U.S. Geological Survey Data Series 672, Report: vi, 19 p.; Appendixes, https://doi.org/10.3133/ds672.","productDescription":"Report: vi, 19 p.; Appendixes","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":254513,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_672.gif"},{"id":254510,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/672/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"San Marcos","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a15d5e4b0c8380cd54f69","contributors":{"authors":[{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463334,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038050,"text":"ofr20121059 - 2012 - Foraging ecology of least terns and piping plovers nesting on Central Platte River sandpits and sandbars","interactions":[],"lastModifiedDate":"2018-01-05T11:19:07","indexId":"ofr20121059","displayToPublicDate":"2012-04-13T00:00:00","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":"2012-1059","title":"Foraging ecology of least terns and piping plovers nesting on Central Platte River sandpits and sandbars","docAbstract":"Federally listed least terns (<i>Sternula antillarum</i>) and piping plovers (<i>Charadrius melodus</i>) nest on riverine sandbars on many major midcontinent river systems. On the Central Platte River, availability of sandbar habitat is limited, and both species nest on excavated sandpits in the river's floodplain. However, the extent to which sandpit-nesting birds use riverine habitats for foraging is unknown. We evaluated use of foraging habitats by least terns and piping plovers by collecting data on movements, behavior, foraging habitat, and productivity. We radiomarked 16 piping plovers and 23 least terns in 2009-2010 and monitored their movements using a network of fixed telemetry dataloggers. Piping plovers were detected primarily by the datalogger located in their nesting sandpit, whereas least terns were more frequently detected on dataloggers outside of the nesting sandpit. Telemetry data and behavioral observations showed that least terns tended to concentrate at the Kearney Canal Diversion Gates, where forage fish were apparently readily available. Fish sampling data suggested that forage fish were more abundant in riverine than in sandpit habitats, and behavioral observations showed that least terns foraged more frequently in riverine than in sandpit habitats. Piping plovers tended to forage in wet substrates along sandpit shorelines, but also used dry substrates and sandpit interior habitats. The greater mobility of least terns makes a wider range of potential foraging habitats available during brood rearing, making them able to exploit concentrations of fish outside the nesting colony. Thus, our data suggest that different spatial scales should be considered in managing nesting and foraging habitat complexes for piping plovers and least terns.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121059","collaboration":"Prepared in cooperation with the Platte River Recovery Implementation Program","usgsCitation":"Sherfy, M.H., Anteau, M.J., Shaffer, T.L., Sovada, M.A., and Stucker, J.H., 2012, Foraging ecology of least terns and piping plovers nesting on Central Platte River sandpits and sandbars: U.S. Geological Survey Open-File Report 2012-1059, vii, 41 p.; Appendices, https://doi.org/10.3133/ofr20121059.","productDescription":"vii, 41 p.; Appendices","onlineOnly":"Y","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":254518,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1059.gif"},{"id":254516,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1059/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator, Zone 14","country":"United States","state":"Nebraska","city":"Lexington;Chapman","otherGeospatial":"Central Platte River Valley;Bluehole Pit;Johnson Pit;Lexington Pit;Dyer Pit;Dinan Tract;Dipple Tract","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.83333333333333,40.333333333333336 ], [ -99.83333333333333,40.833333333333336 ], [ -98.5,40.833333333333336 ], [ -98.5,40.333333333333336 ], [ -99.83333333333333,40.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a12fce4b0c8380cd54491","contributors":{"authors":[{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sovada, Marsha A. msovada@usgs.gov","contributorId":2601,"corporation":false,"usgs":true,"family":"Sovada","given":"Marsha","email":"msovada@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":463344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463345,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038047,"text":"tm3A23 - 2012 - Computing discharge using the index velocity method","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"tm3A23","displayToPublicDate":"2012-04-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-A23","title":"Computing discharge using the index velocity method","docAbstract":"Application of the index velocity method for computing continuous records of discharge has become increasingly common, especially since the introduction of low-cost acoustic Doppler velocity meters (ADVMs) in 1997. Presently (2011), the index velocity method is being used to compute discharge records for approximately 470 gaging stations operated and maintained by the U.S. Geological Survey. The purpose of this report is to document and describe techniques for computing discharge records using the index velocity method. Computing discharge using the index velocity method differs from the traditional stage-discharge method by separating velocity and area into two ratings&mdash;the index velocity rating and the stage-area rating. The outputs from each of these ratings, mean channel velocity (V) and cross-sectional area (A), are then multiplied together to compute a discharge. For the index velocity method, V is a function of such parameters as streamwise velocity, stage, cross-stream velocity, and velocity head, and A is a function of stage and cross-section shape. The index velocity method can be used at locations where stage-discharge methods are used, but it is especially appropriate when more than one specific discharge can be measured for a specific stage. After the ADVM is selected, installed, and configured, the stage-area rating and the index velocity rating must be developed. A standard cross section is identified and surveyed in order to develop the stage-area rating. The standard cross section should be surveyed every year for the first 3 years of operation and thereafter at a lesser frequency, depending on the susceptibility of the cross section to change. Periodic measurements of discharge are used to calibrate and validate the index rating for the range of conditions experienced at the gaging station. Data from discharge measurements, ADVMs, and stage sensors are compiled for index-rating analysis. Index ratings are developed by means of regression techniques in which the mean cross-sectional velocity for the standard section is related to the measured index velocity. Most ratings are simple-linear regressions, but more complex ratings may be necessary in some cases. Once the rating is established, validation measurements should be made periodically. Over time, validation measurements may provide additional definition to the rating or result in the creation of a new rating. The computation of discharge is the last step in the index velocity method, and in some ways it is the most straight-forward step. This step differs little from the steps used to compute discharge records for stage-discharge gaging stations. The ratings are entered into database software used for records computation, and continuous records of discharge are computed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3A23","usgsCitation":"Levesque, V.A., and Oberg, K.A., 2012, Computing discharge using the index velocity method: U.S. Geological Survey Techniques and Methods 3-A23, ix, 65 p.; Glossary; Appendices; PDF Download of Report and Appendices in High and Low Resolutions; ZIP Download of Appendices, https://doi.org/10.3133/tm3A23.","productDescription":"ix, 65 p.; Glossary; Appendices; PDF Download of Report and Appendices in High and Low Resolutions; ZIP Download of Appendices","startPage":"i","endPage":"148","numberOfPages":"157","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":426,"text":"National Hydroacoustics Coordinator","active":false,"usgs":true}],"links":[{"id":254514,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_3_A23.gif"},{"id":254512,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/3a23/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f976e4b0c8380cd4d602","contributors":{"authors":[{"text":"Levesque, Victor A. levesque@usgs.gov","contributorId":4335,"corporation":false,"usgs":true,"family":"Levesque","given":"Victor","email":"levesque@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":463340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":463339,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193784,"text":"70193784 - 2012 - Combining lake and watershed characteristics with Landsat TM data for remote estimation of regional lake clarity","interactions":[],"lastModifiedDate":"2017-11-08T14:35:14","indexId":"70193784","displayToPublicDate":"2012-04-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Combining lake and watershed characteristics with Landsat TM data for remote estimation of regional lake clarity","docAbstract":"<p><span>Water clarity is a reliable indicator of lake productivity and an ideal metric of regional water quality. Clarity is an indicator of other water quality variables including chlorophyll-a, total phosphorus and trophic status; however, unlike these metrics, clarity can be accurately and efficiently estimated remotely on a regional scale. Remote sensing is useful in regions containing a large number of lakes that are cost prohibitive to monitor regularly using traditional field methods. Field-assessed lakes generally are easily accessible and may represent a spatially irregular, non-random sample of a region. We developed a remote monitoring program for Maine lakes &gt;</span><span>8</span><span>&nbsp;</span><span>ha (1511 lakes) to supplement existing field monitoring programs. We combined Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) brightness values for TM bands 1 (blue) and 3 (red) to estimate water clarity (secchi disk depth) during 1990–2010. Although similar procedures have been applied to Minnesota and Wisconsin lakes, neither state incorporates physical lake variables or watershed characteristics that potentially affect clarity into their models. Average lake depth consistently improved model fitness, and the proportion of wetland area in lake watersheds also explained variability in clarity in some cases. Nine regression models predicted water clarity (R</span><sup>2</sup><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>0.69–0.90) during 1990–2010, with separate models for eastern (TM path 11; four models) and western Maine (TM path 12; five models that captured differences in topography and landscape disturbance. Average absolute difference between model-estimated and observed secchi depth ranged 0.65–1.03</span><span>&nbsp;</span><span>m. Eutrophic and mesotrophic lakes consistently were estimated more accurately than oligotrophic lakes. Our results show that TM bands 1 and 3 can be used to estimate regional lake water clarity outside the Great Lakes Region and that the accuracy of estimates is improved with additional model variables that reflect physical lake characteristics and watershed conditions.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.rse.2012.03.006","usgsCitation":"McCullough, I.M., Loftin, C., and Sader, S., 2012, Combining lake and watershed characteristics with Landsat TM data for remote estimation of regional lake clarity: Remote Sensing of Environment, v. 123, p. 109-115, https://doi.org/10.1016/j.rse.2012.03.006.","productDescription":"7 p.","startPage":"109","endPage":"115","ipdsId":"IP-033562","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.32373046875,\n              48.980216985374994\n            ],\n            [\n              -72.94921875,\n              43.56447158721811\n            ],\n            [\n              -69.169921875,\n              42.147114459220994\n            ],\n            [\n              -65.6103515625,\n              47.84265762816538\n            ],\n            [\n              -69.32373046875,\n              48.980216985374994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425f1e4b0dc0b45b456e5","contributors":{"authors":[{"text":"McCullough, Ian M.","contributorId":149952,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sader, Steven A.","contributorId":112282,"corporation":false,"usgs":true,"family":"Sader","given":"Steven A.","affiliations":[],"preferred":false,"id":721312,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191498,"text":"70191498 - 2012 - Forward","interactions":[],"lastModifiedDate":"2022-02-23T17:41:52.714535","indexId":"70191498","displayToPublicDate":"2012-04-12T11:40:19","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Forward","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reconstructing Earth's climate history","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","usgsCitation":"Cronin, T.M., 2012, Forward, chap. <i>of</i> Reconstructing Earth's climate history.","productDescription":"1 p.","startPage":"xiv","ipdsId":"IP-030174","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":396367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":712448,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044851,"text":"70044851 - 2012 - US nonfuel mineral exploration: Selected findings for 1995-2009 from the USGS","interactions":[],"lastModifiedDate":"2013-06-04T11:19:53","indexId":"70044851","displayToPublicDate":"2012-04-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"US nonfuel mineral exploration: Selected findings for 1995-2009 from the USGS","docAbstract":"The U.S. Geological Survey (USGS) has been systematically monitoring global nonfuel mineral exploration activities to anticipate the location and quantity of future nonfuel minerals supply for about 100 commodities, with an emphasis on precious and base metals.  Since 1995, the USGS has developed an annual list of 100 noteworthy prospects that were considered to have a high level of potential for near-term development based on such criteria as intensity of drilling, level of capital investment, and size of resource.  This study reviews the status of the U.S. sites included on these lists as of July 2011 and addresses domestic prospects not included on the lists that have come into production since 1995.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Mining","usgsCitation":"Wilburn, D.R., and Bleiwas, D.I., 2012, US nonfuel mineral exploration: Selected findings for 1995-2009 from the USGS: Mining Engineering, 18 p.","productDescription":"18 p.","ipdsId":"IP-033633","costCenters":[{"id":134,"text":"BRD Resources Central Regional Office","active":false,"usgs":true}],"links":[{"id":273196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273195,"type":{"id":11,"text":"Document"},"url":"https://me.smenet.org/reader.cfm?webArticleID=301"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c72e4b08a3322c2c37a","contributors":{"authors":[{"text":"Wilburn, David R. 0000-0002-5371-7617 wilburn@usgs.gov","orcid":"https://orcid.org/0000-0002-5371-7617","contributorId":1755,"corporation":false,"usgs":true,"family":"Wilburn","given":"David","email":"wilburn@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bleiwas, Donald I. bleiwas@usgs.gov","contributorId":1434,"corporation":false,"usgs":true,"family":"Bleiwas","given":"Donald","email":"bleiwas@usgs.gov","middleInitial":"I.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476405,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038031,"text":"ofr20121060 - 2012 - Alaska Geochemical Database - Mineral Exploration Tool for the 21st Century - PDF of presentation","interactions":[],"lastModifiedDate":"2018-08-19T21:25:20","indexId":"ofr20121060","displayToPublicDate":"2012-04-12T00:00:00","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":"2012-1060","title":"Alaska Geochemical Database - Mineral Exploration Tool for the 21st Century - PDF of presentation","docAbstract":"The U.S. Geological Survey has created a geochemical database of geologic material samples collected in Alaska. This database is readily accessible to anyone with access to the Internet. Designed as a tool for mineral or environmental assessment, land management, or mineral exploration, the initial version of the Alaska Geochemical Database - U.S. Geological Survey Data Series 637 - contains geochemical, geologic, and geospatial data for 264,158 samples collected from 1962-2009: 108,909 rock samples; 92,701 sediment samples; 48,209 heavy-mineral-concentrate samples; 6,869 soil samples; and 7,470 mineral samples. In addition, the Alaska Geochemical Database contains mineralogic data for 18,138 nonmagnetic-fraction heavy mineral concentrates, making it the first U.S. Geological Survey database of this scope that contains both geochemical and mineralogic data. Examples from the Alaska Range will illustrate potential uses of the Alaska Geochemical Database in mineral exploration. Data from the Alaska Geochemical Database have been extensively checked for accuracy of sample media description, sample site location, and analytical method using U.S. Geological Survey sample-submittal archives and U.S. Geological Survey publications (plus field notebooks and sample site compilation base maps from the Alaska Technical Data Unit in Anchorage, Alaska). The database is also the repository for nearly all previously released U.S. Geological Survey Alaska geochemical datasets. Although the Alaska Geochemical Database is a fully relational database in Microsoft&reg; Access 2003 and 2010 formats, these same data are also provided as a series of spreadsheet files in Microsoft&reg; Excel 2003 and 2010 formats, and as ASCII text files. A DVD version of the Alaska Geochemical Database was released in October 2011, as U.S. Geological Survey Data Series 637, and data downloads are available at <i>http://pubs.usgs.gov/ds/637/</i>. Also, all Alaska Geochemical Database data have been incorporated into the interactive U.S. Geological Survey Mineral Resource Data web portal, available at <i>http://mrdata.usgs.gov/</i>.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121060","usgsCitation":"Granitto, M., Schmidt, J.M., Labay, K., Shew, N.B., and Gamble, B.M., 2012, Alaska Geochemical Database - Mineral Exploration Tool for the 21st Century - PDF of presentation: U.S. Geological Survey Open-File Report 2012-1060, iii, 33 p., https://doi.org/10.3133/ofr20121060.","productDescription":"iii, 33 p.","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":254505,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1060/","linkFileType":{"id":5,"text":"html"}},{"id":254506,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1060.gif"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173,54.666666666666664 ], [ 173,71.83333333333333 ], [ -130,71.83333333333333 ], [ -130,54.666666666666664 ], [ 173,54.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e931e4b0c8380cd4814e","contributors":{"authors":[{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":463306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Jeanine M. jschmidt@usgs.gov","contributorId":3138,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jeanine","email":"jschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":463307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":463309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":463308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamble, Bruce M. bgamble@usgs.gov","contributorId":560,"corporation":false,"usgs":true,"family":"Gamble","given":"Bruce","email":"bgamble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":463305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038041,"text":"fs20123030 - 2012 - Assessment of undiscovered oil and gas resources of the South Africa Coastal Province, Africa","interactions":[],"lastModifiedDate":"2018-03-23T14:39:58","indexId":"fs20123030","displayToPublicDate":"2012-04-12T00:00:00","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":"2012-3030","title":"Assessment of undiscovered oil and gas resources of the South Africa Coastal Province, Africa","docAbstract":"The South Africa Coastal Province along the South Africa coast recently was assessed for undiscovered, technically recoverable oil, natural gas, and natural gas liquids resources as part of the U.S. Geological Survey's (USGS) World Oil and Gas Assessment. Using a geology-based assessment methodology, the USGS estimated mean volumes of 2.13 billion barrels of oil, 35.96 trillion cubic feet of natural gas, and 1,115 million barrels of natural gas liquids.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123030","collaboration":"World Petroleum Resources Project","usgsCitation":"Brownfield, M.E., Schenk, C.J., Charpentier, R., Klett, T., Cook, T.A., and Pollastro, R.M., 2012, Assessment of undiscovered oil and gas resources of the South Africa Coastal Province, Africa: U.S. Geological Survey Fact Sheet 2012-3030, 2 p., https://doi.org/10.3133/fs20123030.","productDescription":"2 p.","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":254503,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3030/","linkFileType":{"id":5,"text":"html"}},{"id":254508,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3030.png"}],"country":"South Africa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 16,-38 ], [ 16,-28 ], [ 34,-28 ], [ 34,-38 ], [ 16,-38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee7ce4b0c8380cd49da5","contributors":{"authors":[{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":463322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":463323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":463321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463325,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038040,"text":"sir20125057 - 2012 - Approximating tasseled cap values to evaluate brightness, greenness, and wetness for the Advanced Land Imager (ALI)","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"sir20125057","displayToPublicDate":"2012-04-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5057","title":"Approximating tasseled cap values to evaluate brightness, greenness, and wetness for the Advanced Land Imager (ALI)","docAbstract":"The Tasseled Cap transformation is a method of image band conversion to enhance spectral information. It primarily is used to detect vegetation using the derived brightness, greenness, and wetness bands. An approximation of Tasseled Cap values for the Advanced Land Imager was investigated and compared to the Landsat Thematic Mapper Tasseled Cap values. Despite sharing similar spectral, temporal, and spatial resolution, the two systems are not interchangeable with regard to Tasseled Cap matrices.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125057","usgsCitation":"Yamamoto, K.H., and Finn, M.P., 2012, Approximating tasseled cap values to evaluate brightness, greenness, and wetness for the Advanced Land Imager (ALI): U.S. Geological Survey Scientific Investigations Report 2012-5057, iv, 10 p., https://doi.org/10.3133/sir20125057.","productDescription":"iv, 10 p.","onlineOnly":"Y","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":254507,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5057.gif"},{"id":254502,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5057/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California;Colorado;Georgia;Missouri;West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130,27 ], [ -130,40 ], [ -70,40 ], [ -70,27 ], [ -130,27 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed02e4b0c8380cd49581","contributors":{"authors":[{"text":"Yamamoto, Kristina H. khyamamoto@usgs.gov","contributorId":4490,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Kristina","email":"khyamamoto@usgs.gov","middleInitial":"H.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":463320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":463319,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038043,"text":"fs20123039 - 2012 - Assessment of undiscovered oil and gas resources of four East Africa Geologic Provinces","interactions":[],"lastModifiedDate":"2018-03-23T14:39:36","indexId":"fs20123039","displayToPublicDate":"2012-04-12T00:00:00","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":"2012-3039","title":"Assessment of undiscovered oil and gas resources of four East Africa Geologic Provinces","docAbstract":"Four geologic provinces along the east coast of Africa recently were assessed for undiscovered, technically recoverable oil, natural gas, and natural gas liquids resources as part of the U.S. Geological Survey's (USGS) World Oil and Gas Assessment. Using a geology-based assessment methodology, the USGS estimated mean volumes of 27.6 billion barrels of oil, 441.1 trillion cubic feet of natural gas, and 13.77 billion barrels of natural gas liquids.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123039","collaboration":"World Petroleum Resources Project","usgsCitation":"Brownfield, M.E., Schenk, C.J., Charpentier, R., Klett, T., Cook, T.A., Pollastro, R.M., and Tennyson, M., 2012, Assessment of undiscovered oil and gas resources of four East Africa Geologic Provinces: U.S. Geological Survey Fact Sheet 2012-3039, 4 p., https://doi.org/10.3133/fs20123039.","productDescription":"4 p.","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":254504,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3039/","linkFileType":{"id":5,"text":"html"}},{"id":254509,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3039.png"}],"otherGeospatial":"Morondava Province, Mozambique Coastal Province, Seychelles Province, Tanzania Coastal Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 30,-34 ], [ 30,-2 ], [ 64,-2 ], [ 64,-34 ], [ 30,-34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee78e4b0c8380cd49d86","contributors":{"authors":[{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":463329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":463327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463332,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":1433,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":463330,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044441,"text":"70044441 - 2012 - Shifts in identity and activity of methanotrophs in arctic lake sediments in response to temperature changes","interactions":[],"lastModifiedDate":"2025-04-10T14:58:32.516599","indexId":"70044441","displayToPublicDate":"2012-04-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in identity and activity of methanotrophs in arctic lake sediments in response to temperature changes","docAbstract":"<p><span>Methane (CH</span><sub>4</sub><span>) flux to the atmosphere is mitigated via microbial CH</span><sub>4</sub><span>&nbsp;oxidation in sediments and water. As arctic temperatures increase, understanding the effects of temperature on the activity and identity of methanotrophs in arctic lake sediments is important to predicting future CH</span><sub>4</sub><span>&nbsp;emissions. We used DNA-based stable-isotope probing (SIP), quantitative PCR (Q-PCR), and pyrosequencing analyses to identify and characterize methanotrophic communities active at a range of temperatures (4°C, 10°C, and 21°C) in sediments (to a depth of 25 cm) sampled from Lake Qalluuraq on the North Slope of Alaska. CH</span><sub>4</sub><span>&nbsp;oxidation activity was measured in microcosm incubations containing sediments at all temperatures, with the highest CH</span><sub>4</sub><span>&nbsp;oxidation potential of 37.5 μmol g</span><sup>−1</sup><span>&nbsp;day</span><sup>−1</sup><span>&nbsp;in the uppermost (depth, 0 to 1 cm) sediment at 21°C after 2 to 5 days of incubation. Q-PCR of&nbsp;</span><i>pmoA</i><span>&nbsp;and of the 16S rRNA genes of type I and type II methanotrophs, and pyrosequencing of 16S rRNA genes in&nbsp;</span><sup>13</sup><span>C-labeled DNA obtained by SIP demonstrated that the type I methanotrophs&nbsp;</span><span class=\"named-content\" data-type=\"genus-species\">Methylobacter</span><span>,&nbsp;</span><span class=\"named-content\" data-type=\"genus-species\">Methylomonas</span><span>, and&nbsp;</span><span class=\"named-content\" data-type=\"genus-species\">Methylosoma</span><span>&nbsp;dominated carbon acquisition from CH</span><sub>4</sub><span>&nbsp;in the sediments. The identity and relative abundance of active methanotrophs differed with the incubation temperature. Methylotrophs were also abundant in the microbial community that derived carbon from CH</span><sub>4</sub><span>, especially in the deeper sediments (depth, 15 to 20 cm) at low temperatures (4°C and 10°C), and showed a good linear relationship (</span><i>R</i><span>&nbsp;= 0.82) with the relative abundances of methanotrophs in pyrosequencing reads. This study describes for the first time how methanotrophic communities in arctic lake sediments respond to temperature variations.</span></p>","language":"English","publisher":"American Society of Microbiology","doi":"10.1128/AEM.00853-12","usgsCitation":"He, R., Wooller, M., Pohlman, J., Quensen, J., Tiedje, J.M., and Leigh, M.B., 2012, Shifts in identity and activity of methanotrophs in arctic lake sediments in response to temperature changes: Applied and Environmental Microbiology, v. 78, no. 13, p. 4715-4723, https://doi.org/10.1128/AEM.00853-12.","productDescription":"9 p.","startPage":"4715","endPage":"4723","numberOfPages":"9","ipdsId":"IP-038473","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":271667,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":474522,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.00853-12","text":"Publisher Index Page"}],"country":"United States","state":"Alaska","otherGeospatial":"Brooks Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -142.07760444140533,\n              69.35557196411926\n            ],\n            [\n              -145.46519318137828,\n              69.5585579341055\n            ],\n            [\n              -151.87517978114988,\n              68.62896953532697\n            ],\n            [\n              -157.12226395989708,\n              68.27890754507365\n            ],\n            [\n              -157.07316102517655,\n              66.97554841451588\n            ],\n            [\n              -154.81291480985988,\n              66.65818896518846\n            ],\n            [\n              -147.80754164130246,\n              66.86006548648308\n            ],\n            [\n              -142.07760444140533,\n              69.35557196411926\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"78","issue":"13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180e7ece4b0df838b924dab","contributors":{"authors":[{"text":"He, Ruo","contributorId":53222,"corporation":false,"usgs":true,"family":"He","given":"Ruo","email":"","affiliations":[],"preferred":false,"id":475597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wooller, Matthew J.","contributorId":24213,"corporation":false,"usgs":true,"family":"Wooller","given":"Matthew J.","affiliations":[],"preferred":false,"id":475593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, John W.","contributorId":95288,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":475598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quensen, John","contributorId":24214,"corporation":false,"usgs":true,"family":"Quensen","given":"John","email":"","affiliations":[],"preferred":false,"id":475594,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedje, James M.","contributorId":37591,"corporation":false,"usgs":true,"family":"Tiedje","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leigh, Mary Beth","contributorId":25028,"corporation":false,"usgs":true,"family":"Leigh","given":"Mary","email":"","middleInitial":"Beth","affiliations":[],"preferred":false,"id":475595,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038022,"text":"70038022 - 2012 - Water quality and the composition of fish and macroinvertebrate communities in the Devils and Pecos Rivers within and upstream from the Amistad National Recreation Area, Texas, 2005-7","interactions":[],"lastModifiedDate":"2016-08-08T09:11:06","indexId":"70038022","displayToPublicDate":"2012-04-11T00:00:00","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":"2012-5038","title":"Water quality and the composition of fish and macroinvertebrate communities in the Devils and Pecos Rivers within and upstream from the Amistad National Recreation Area, Texas, 2005-7","docAbstract":"<p>To gain a better understanding of the water quality and status of fish and macroinvertebrate communities, the U.S. Geological Survey, in cooperation with the National Park Service and Amistad National Recreation Area, completed a reconnaissance-level survey of the water quality and fish and macroinvertebrate communities in the Devils and Pecos Rivers in and upstream from the Amistad National Recreation Area in southwest Texas during 2005&ndash;7. Water-quality conditions during the spring and summer months of 2005 in the Devils and Pecos Rivers were assessed at locations just upstream from the Amistad National Recreation Area, and the composition of fish and macroinvertebrate communities were assessed during 2006 and 2007 in and upstream from the Amistad National Recreation Area and Amistad Reservoir. Water-quality samples were collected at one site on both the Devils and Pecos Rivers. Fish and macroinvertebrates were collected at the water-quality sampling site on each river and at three additional sites on each river. The water-quality constituents of primary concern were total dissolved solids, chloride, sulfate, ammonia plus organic nitrogen, nitrate plus nitrite, orthophosphate, phosphorus, selenium, and selected pesticides. During the spring and summer of 2005, the concentrations of total dissolved solids ranged from 208 to 232 milligrams per liter (mg/L) in samples from the Devils River compared to 1,460 to 2,390 mg/L in samples from the Pecos River. Total dissolved solid concentrations measured in samples collected from the Devils River and Pecos River did not exceed the proposed State of Texas water-quality standard applicable for the segments of each river where samples were collected. During the spring and summer of 2005, chloride concentrations measured in samples collected in 2005 from the Devils River ranged from 11.6 to 12.9 mg/L, compared to chloride concentrations measured in samples collected from the Pecos River, which ranged from 519 to 879 mg/L. Chloride concentrations in samples collected from the Devils River in 2005 were less than the lower quartile (25th percentile) value of 14.0 mg/L reported for chloride concentrations in water-quality samples collected at the same sampling location during 1978&ndash;95 by the U.S. Geological Survey as part of the Hydrologic Benchmark Network program. The chloride concentrations measured in samples collected from the Pecos River during the spring and summer of 2005 represented a range of values similar to the interquartile range of 548 to 942 mg/L reported for samples collected during 1974&ndash;2007 at the same sampling location by the U.S. Geological Survey as part of the National Stream Quality Accounting Network program. None of the chloride concentrations measured in samples collected from the Devils or Pecos Rivers in 2005 exceeded applicable proposed State of Texas water-quality standards for chloride. Sulfate concentrations ranged from 7.55 to 8.20 mg/L in samples from the Devils River compared to 298 to 503 mg/L in samples from the Pecos River. Concentrations of sulfate did not exceed applicable proposed State of Texas water-quality standards. Ammonia plus organic nitrogen concentrations were reported as nitrogen ranged from 0.12 to 0.14 mg/L of nitrogen in samples collected from the Devils River compared to 0.15 to 0.32 mg/L of nitrogen in samples collected from the Pecos River. Ammonia plus organic nitrogen concentrations measured in samples collected from the Devils River in 2005 were less than the lower quartile (25th percentile) value of 0.23 mg/L of nitrogen for concentrations in water-quality samples collected at the same sampling location during 1978&ndash;95 by the U.S. Geological Survey as part of the Hydrologic Benchmark Network program. Ammonia plus nitrogen concentrations measured in samples collected from the Pecos River were similar to the range of historical concentrations measured in samples collected from the same Pecos River sampling location by the U.S. Geological Survey National Stream Quality Accounting Network program. Nitrate plus nitrite concentrations in samples from the Devils River and Pecos Rivers were within the historical range of concentrations for samples collected at the same locations on each river. Total phosphorous and orthophosphate concentrations were less than the laboratory reporting levels in the water samples from the Devils and Pecos Rivers. None of the selenium concentrations measured in samples collected during the spring and summer of 2005 from the Devils or Pecos Rivers exceeded the Texas Surface Water Quality Standards (chronic criterion of 5 &mu;g/L or the acute criterion of 20 &mu;g/L) established by the State for the protection of aquatic life. Concentrations of pesticides in the samples collected from the Devils and Pecos Rivers during March&ndash;August 2005 were very low and not present in detectable amounts (all reported concentrations were below laboratory reporting levels).</p>\n<p>The total number of fish species collected was the same in the Devils River and Pecos River, but the species found in the two rivers varied slightly. The number of fish species generally increased from the site farthest upstream to the site farthest downstream in the Devils River, and decreased between the site farthest upstream and site farthest downstream in the Pecos River. The redbreast sunfish was the most abundant species collected in the Devils River, and the blacktail shiner was the most abundant species collected in the Pecos River. Comparing the species from each river, the percentage of omnivorous fish species was larger at the more downstream sites closer to Amistad Reservoir, and the percentage of species tolerant of environmental stressors was larger in the Pecos River. The fish community, assessed on the basis of the number of shared species among the sites sampled, was more similar to the fish community at the other sites on the same river than it was to the fish community from any other site in the other river. More macroinvertebrate taxa were collected in the Devils River than in the Pecos River. The largest number of macroinvertebrate taxa were from the site second farthest downstream on the Devils River, and the smallest numbers of macroinvertebrate taxa were from the farthest downstream site on the Pecos River. Mayflies were more common in the Devils River, and caddisflies were less common than mayflies at most sites. Net-spinning caddisflies were more common at the Devils River sites. The combined percent of mayfly, caddisfly, and stonefly taxa was generally larger at the Pecos River sites. Riffle beetles were the most commonly collected beetle taxon among all sites, and water-penny beetles were only collected at the Pecos River sites. A greater number of true midge taxa were collected more than any other taxa at the genus and species taxonomic level. Non-insect macroinvertebrate taxa were more common at the Devils River sites. <i>Corbicula</i> sp. (presumably the introduced Asian clam) was found at sites in both rivers, and amphipods were more abundant in the Devils River. The Margalef species richness index, based on aquatic insect taxa only, was larger at the Devils River sites than at the Pecos River sites. The Hilsenhoff's biotic index was largest at the site farthest downstream in the Devils River and smallest at the site second farthest downstream in the Pecos River. Overall similarity among sites based on the number of shared macroinvertebrate taxa indicated that each site is more similar to other sites on the same river than to sites on the other river.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70038022","collaboration":"Prepared in cooperation with the National Park Service and Amistad National Recreation Area","usgsCitation":"Moring, J., 2012, Water quality and the composition of fish and macroinvertebrate communities in the Devils and Pecos Rivers within and upstream from the Amistad National Recreation Area, Texas, 2005-7: U.S. Geological Survey Scientific Investigations Report 2012-5038, vi, 70 p., https://doi.org/10.3133/70038022.","productDescription":"vi, 70 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":254484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5038.gif"},{"id":254481,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5038/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Amistad National Recreation Area","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc888e4b08c986b32c99e","contributors":{"authors":[{"text":"Moring, J. Bruce","contributorId":53372,"corporation":false,"usgs":true,"family":"Moring","given":"J. Bruce","affiliations":[],"preferred":false,"id":463262,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038023,"text":"ofr20121058 - 2012 - Evaluation of fault-normal/fault-parallel directions rotated ground motions for response history analysis of an instrumented six-story building","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"ofr20121058","displayToPublicDate":"2012-04-11T00:00:00","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":"2012-1058","title":"Evaluation of fault-normal/fault-parallel directions rotated ground motions for response history analysis of an instrumented six-story building","docAbstract":"According to regulatory building codes in United States (for example, 2010 California Building Code), at least two horizontal ground-motion components are required for three-dimensional (3D) response history analysis (RHA) of buildings. For sites within 5 km of an active fault, these records should be rotated to fault-normal/fault-parallel (FN/FP) directions, and two RHA analyses should be performed separately (when FN and then FP are aligned with the transverse direction of the structural axes). It is assumed that this approach will lead to two sets of responses that envelope the range of possible responses over all nonredundant rotation angles. This assumption is examined here using a 3D computer model of a six-story reinforced-concrete instrumented building subjected to an ensemble of bidirectional near-fault ground motions. Peak responses of engineering demand parameters (EDPs) were obtained for rotation angles ranging from 0&deg; through 180&deg; for evaluating the FN/FP directions. It is demonstrated that rotating ground motions to FN/FP directions (1) does not always lead to the maximum responses over all angles, (2) does not always envelope the range of possible responses, and (3) does not provide maximum responses for all EDPs simultaneously even if it provides a maximum response for a specific EDP.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121058","collaboration":"In cooperation with the University of California Berkeley","usgsCitation":"Kalkan, E., and Kwong, N.S., 2012, Evaluation of fault-normal/fault-parallel directions rotated ground motions for response history analysis of an instrumented six-story building: U.S. Geological Survey Open-File Report 2012-1058, iv, 11 p.; Tables; Figures, https://doi.org/10.3133/ofr20121058.","productDescription":"iv, 11 p.; Tables; Figures","startPage":"i","endPage":"30","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":254486,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1058.gif"},{"id":254482,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1058/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c71e4b0c8380cd52b53","contributors":{"authors":[{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":463263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwong, Neal S.","contributorId":26279,"corporation":false,"usgs":true,"family":"Kwong","given":"Neal","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":463264,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038017,"text":"sir20115216 - 2012 - Status and understanding of groundwater quality in the Tahoe-Martis, Central Sierra, and Southern Sierra study units, 2006-2007--California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115216","displayToPublicDate":"2012-04-11T00:00:00","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":"2011-5216","title":"Status and understanding of groundwater quality in the Tahoe-Martis, Central Sierra, and Southern Sierra study units, 2006-2007--California GAMA Priority Basin Project","docAbstract":"Groundwater quality in the Tahoe-Martis, Central Sierra, and Southern Sierra study units was investigated as part of the Priority Basin Project of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. The three study units are located in the Sierra Nevada region of California in parts of Nevada, Placer, El Dorado, Madera, Tulare, and Kern Counties. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board, in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory. The project was designed to provide statistically robust assessments of untreated groundwater quality within the primary aquifer systems used for drinking water. The primary aquifer systems (hereinafter, primary aquifers) for each study unit are defined by the depth of the screened or open intervals of the wells listed in the California Department of Public Health (CDPH) database of wells used for municipal and community drinking-water supply. The quality of groundwater in shallower or deeper water-bearing zones may differ from that in the primary aquifers; shallower groundwater may be more vulnerable to contamination from the surface. The assessments for the Tahoe-Martis, Central Sierra, and Southern Sierra study units were based on water-quality and ancillary data collected by the USGS from 132 wells in the three study units during 2006 and 2007 and water-quality data reported in the CDPH database. Two types of assessments were made: (1) status, assessment of the current quality of the groundwater resource, and (2) understanding, identification of the natural and human factors affecting groundwater quality. The assessments characterize untreated groundwater quality, not the quality of treated drinking water delivered to consumers by water purveyors. Relative-concentrations (sample concentrations divided by benchmark concentrations) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or non-regulatory benchmarks for drinking-water quality. A relative-concentration (RC) greater than (>) 1.0 indicates a concentration above a benchmark. RCs for organic constituents (volatile organic compounds and pesticides) and special-interest constituents were classified as \"high\" (RC > 1.0), \"moderate\" (1.0 &ge; RC > 0.1), or \"low\" (RC &le; 0.1). For inorganic constituents (major ions, trace elements, nutrients, and radioactive constituents), the boundary between low and moderate RCs was set at 0.5. A new metric, aquifer-scale proportion, was used in the status assessment as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the percentage of the area of the primary aquifers with RC > 1.0 for a particular constituent or class of constituents; moderate and low aquifer-scale proportions are defined as the percentages of the area of the primary aquifer with moderate and low RCs, respectively. Percentages are based on an areal rather than a volumetric basis. Two statistical approaches&mdash;grid-based, which used one value per grid cell, and spatially weighted, which used multiple values per grid cell&mdash;were used to calculate aquifer-scale proportions for individual constituents and classes of constituents. The spatially weighted estimates of high aquifer-scale proportions were within the 90-percent (%) confidence intervals of the grid-based estimates in all cases. The status assessment showed that inorganic constituents had greater high and moderate aquifer-scale proportions than did organic constituents in all three study units. In the Tahoe-Martis study unit, RCs for inorganic constituents with health-based benchmarks (primarily arsenic) were high in 20% of the primary aquifer, moderate in 13%, and low in 67%. In the Central Sierra study unit, aquifer-scale proportions for inorganic constituents with health-based benchmarks (primarily arsenic, uranium, fluoride, and molybdenum) were 41% high, 36% moderate, and 23% low. In the Southern Sierra study unit, 32, 34, and 34% of the primary aquifer had high, moderate, and low RCs of inorganic constituents with health-based benchmarks (primarily arsenic, uranium, fluoride, boron, and nitrate). The high aquifer-scale proportions for inorganic constituents with non-health-based benchmarks were 14, 34, and 24% for the Tahoe-Martis, Central Sierra, and Southern Sierra study units, respectively, and the primary constituent was manganese for all three study units. Organic constituents with health-based benchmarks were not present at high RCs in the primary aquifers of the Central Sierra and Southern Sierra study units, and were present at high RCs in only 1% of the Tahoe-Martis study unit. Moderate aquifer-scale proportions for organic constituents were < 5% in all three study units. Of the 173 organic constituents analyzed, 22 were detected, and of those 22, 17 have health-based benchmarks. Organic constituents were detected in 20, 27, and 40% of the primary aquifers in the Tahoe-Martis, Central Sierra, and Southern Sierra study units, respectively. Four organic constituents had study-unit detection frequencies of > 10%: the trihalomethane chloroform in the Tahoe-Martis study unit; chloroform and the herbicide simazine in the Central Sierra study unit; and chloroform, simazine, the herbicide atrazine, and the solvent perchloroethene in the Southern Sierra study unit. The second component of this study, the understanding assessment, identified the natural and human factors that may have affected groundwater quality in the three study units by evaluating statistical correlations between water-quality constituents and potential explanatory factors. The potential explanatory factors evaluated were land use, septic tank density, climate, relative position in the regional flow system, aquifer lithology, geographic location, well depth and depth to the top of the screened or open interval in the well, groundwater age distribution, pH, and dissolved oxygen concentration. Results of the statistical evaluations were used to explain the occurrence and distribution of constituents in the study units. Aquifer lithology (granitic, metamorphic, sedimentary, or volcanic rocks), groundwater age distribution [modern (recharged since 1952), pre-modern (recharged before 1952), or mixed (containing both modern and pre-modern recharge)], geographic location, pH, and dissolved oxygen were the most significant factors explaining the occurrence patterns of most inorganic constituents. High and moderate RCs of arsenic were associated with pre-modern and mixed-age groundwater and two distinct sets of geochemical conditions: (1) oxic, high-pH conditions, particularly in volcanic rocks, and (2) low-oxygen to anoxic conditions and low- to neutral-pH conditions, particularly in granitic rocks. In granitic and metamorphic rocks, high and moderate RCs of uranium were associated with pre-modern and mixed-age groundwater, low-oxygen to anoxic conditions, and location within parts of the Central Sierra and Southern Sierra study units known to have rocks with anomalously high uranium content compared to other parts of the Sierra Nevada. High and moderate RCs of uranium in sedimentary rocks were associated with pre-modern-age groundwater, oxic and high-pH conditions, and location in the Tahoe Valley South subbasin within the Tahoe-Martis study unit. Land use within 500 meters of the well and groundwater age were the most significant factors explaining occurrence patterns of organic constituents. Herbicide detections were most strongly associated with modern- and mixed-age groundwater from wells with agricultural land use. Trihalomethane detections were most strongly associated with modern- and mixed-age groundwater from wells with > 10% urban land use and (or) septic tank density > 7 tanks per square kilometer. Solvent detections were not significantly related to groundwater age. Eighty-three percent of the wells with modern- or mixed-age groundwater, and 86% of wells with detections of herbicides and (or) THMs had depths to the top of the screened or open interval of < 170 feet. These observations suggest that modern groundwater has infiltrated to depths of approximately 170 feet below land surface. Land use and occurrence of herbicides and solvents were the most significant factors explaining the occurrence of nitrate. Wells with > 5% agricultural land use and detection of a herbicide or solvent had the highest nitrate concentrations. Comparison between observed and predicted detection frequencies of perchlorate suggests that the perchlorate detected at concentrations < 1 microgram per liter likely reflects the distribution of perchlorate under natural conditions, and that the perchlorate detected at higher concentrations may reflect redistribution of originally natural perchlorate salts by irrigation in the agricultural areas of the Southern Sierra study unit.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115216","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Belitz, K., 2012, Status and understanding of groundwater quality in the Tahoe-Martis, Central Sierra, and Southern Sierra study units, 2006-2007--California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2011-5216, xiv, 164 p.; Appendices;, https://doi.org/10.3133/sir20115216.","productDescription":"xiv, 164 p.; Appendices;","startPage":"i","endPage":"222","numberOfPages":"236","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":254483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5216.jpg"},{"id":254479,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5216/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b979ce4b08c986b31bb7a","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463257,"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463256,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038021,"text":"ofr20121045 - 2012 - Groundwater quality in the Upper Susquehanna River Basin, New York, 2009","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"ofr20121045","displayToPublicDate":"2012-04-11T00:00:00","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":"2012-1045","title":"Groundwater quality in the Upper Susquehanna River Basin, New York, 2009","docAbstract":"Water samples were collected from 16 production wells and 14 private residential wells in the Upper Susquehanna River Basin from August through December 2009 and were analyzed to characterize the groundwater quality in the basin. Wells at 16 of the sites were completed in sand and gravel aquifers, and 14 were finished in bedrock aquifers. In 2004&ndash;2005, six of these wells were sampled in the first Upper Susquehanna River Basin study. Water samples from the 2009 study were analyzed for 10 physical properties and 137 constituents that included nutrients, organic carbon, major inorganic ions, trace elements, radionuclides, pesticides, volatile organic compounds, and 4 types of bacterial analyses. Results of the water-quality analyses are presented in tabular form for individual wells, and summary statistics for specific constituents are presented by aquifer type. The results are compared with Federal and New York State drinking-water standards, which typically are identical. The results indicate that groundwater genrally is of acceptable quality, although concentrations of some constituents exceeded at least one drinking-water standard at 28 of the 30 wells. These constituents include: pH, sodium, aluminum, manganese, iron, arsenic, radon-222, residue on evaporation, total and fecal coliform including Escherichia coli and heterotrophic plate count.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121045","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation","usgsCitation":"Reddy, J.E., and Risen, A.J., 2012, Groundwater quality in the Upper Susquehanna River Basin, New York, 2009: U.S. Geological Survey Open-File Report 2012-1045, v, 12 p.; Appendix, https://doi.org/10.3133/ofr20121045.","productDescription":"v, 12 p.; Appendix","startPage":"i","endPage":"30","numberOfPages":"35","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":254485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1045.gif"},{"id":254480,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1045/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Susquehanna River Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2dbbe4b0c8380cd5bfdb","contributors":{"authors":[{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Risen, Amy J.","contributorId":88070,"corporation":false,"usgs":true,"family":"Risen","given":"Amy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463261,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038015,"text":"fs20123011 - 2012 - Groundwater quality in the Southern Sierra Nevada, California","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"fs20123011","displayToPublicDate":"2012-04-10T00:00:00","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":"2012-3011","title":"Groundwater quality in the Southern Sierra Nevada, California","docAbstract":"Groundwater provides more than 40 percent of California's drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State's groundwater quality and increases public access to groundwater-quality information. The Tehachapi-Cummings Valley and Kern River Valley basins and surrounding watersheds in the Southern Sierra Nevada constitute one of the study units being evaluated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123011","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Belitz, K., 2012, Groundwater quality in the Southern Sierra Nevada, California: U.S. Geological Survey Fact Sheet 2012-3011, 4 p., https://doi.org/10.3133/fs20123011.","productDescription":"4 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":254478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3011.jpg"},{"id":254474,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3011/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Tehachapi-cummings Valley;Kern River Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2db9e4b0c8380cd5bfd2","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463253,"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","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":463252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038018,"text":"fs20113143 - 2012 - Groundwater quality in the Tahoe and Martis Basins, California","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"fs20113143","displayToPublicDate":"2012-04-10T00:00:00","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":"2011-3143","title":"Groundwater quality in the Tahoe and Martis Basins, California","docAbstract":"Groundwater provides more than 40 percent of California's drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State's groundwater quality and increases public access to groundwater-quality information. The Tahoe and Martis Basins and surrounding watersheds constitute one of the study units being evaluated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113143","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Belitz, K., 2012, Groundwater quality in the Tahoe and Martis Basins, California: U.S. Geological Survey Fact Sheet 2011-3143, 4 p., https://doi.org/10.3133/fs20113143.","productDescription":"4 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":254477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3143.jpg"},{"id":254475,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3143/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Lake Tahoe;Martis Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2db9e4b0c8380cd5bfd5","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463259,"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":376,"text":"Massachusetts 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":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463258,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038016,"text":"fs20123010 - 2012 - Groundwater quality in the Central Sierra Nevada, California","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"fs20123010","displayToPublicDate":"2012-04-10T00:00:00","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":"2012-3010","title":"Groundwater quality in the Central Sierra Nevada, California","docAbstract":"Groundwater provides more than 40 percent of California's drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State's groundwater quality and increases public access to groundwater-quality information. Two small watersheds of the Fresno and San Joaquin Rivers in the Central Sierra Nevada constitute one of the study units being evaluated.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123010","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Belitz, K., 2012, Groundwater quality in the Central Sierra Nevada, California: U.S. Geological Survey Fact Sheet 2012-3010, 4 p., https://doi.org/10.3133/fs20123010.","productDescription":"4 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":254476,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3010.jpg"},{"id":254473,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3010/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Fresno River;Hensley Lake;Willow Creek;San Joaquin River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2dafe4b0c8380cd5bfaf","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463255,"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":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},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":463254,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037956,"text":"70037956 - 2012 - The effect of swab sample choice on the detection of avian influenza in apparently healthy wild ducks","interactions":[],"lastModifiedDate":"2022-11-04T15:22:50.199491","indexId":"70037956","displayToPublicDate":"2012-04-09T16:13:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":948,"text":"Avian Diseases","active":true,"publicationSubtype":{"id":10}},"title":"The effect of swab sample choice on the detection of avian influenza in apparently healthy wild ducks","docAbstract":"<p>Historically, avian influenza viruses have been isolated from cloacal swab specimens, but recent data suggest that the highly pathogenic avian influenza (HPAI) H5N1 virus can be better detected from respiratory tract specimens. To better understand how swab sample type affects the detection ability of low pathogenic avian influenza (LPAI) viruses we collected and tested four swab types: oropharyngeal swabs (OS), cloacal swabs (CS), the two swab types combined in the laboratory (LCS), and the two swab types combined in the field (FCS). A total of 1968 wild waterfowl were sampled by each of these four methods and tested for avian influenza virus using matrix gene reverse-transcription (RT)-PCR. The highest detection rate occurred with the FCS (4.3%) followed by the CS (4.0%). Although this difference did not achieve traditional statistical significance, Bayesian analysis indicated that FCS was superior to CS with an 82% probability. The detection rates for both the LCS (2.4%) and the OS (0.4%) were significantly different from the FCS. In addition, every swab type that was matrix RT-PCR positive was also tested for recovery of viable influenza virus. This protocol reduced the detection rate, but the ordering of swab types remained the same: 1.73% FCS, 1.42% CS, 0.81% LCS, and 0% OS. Our data suggest that the FCS performed at least as well as any other swab type for detecting LPAI viruses in the wild ducks tested. When considering recent studies showing that HPAI H5N1 can be better detected in the respiratory tract, the FCS is the most appropriate sample to collect for HPAI H5N1 surveillance while not compromising LPAI studies.</p>","language":"English","publisher":"American Association of Avian Pathologists","publisherLocation":"Jacksonville, FL","doi":"10.1637/9832-061311-Reg.1","usgsCitation":"Ip, S., Dusek, R., and Heisey, D.M., 2012, The effect of swab sample choice on the detection of avian influenza in apparently healthy wild ducks: Avian Diseases, v. 56, no. 1, p. 114-119, https://doi.org/10.1637/9832-061311-Reg.1.","productDescription":"6 p.","startPage":"114","endPage":"119","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":254472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, North Dakota","otherGeospatial":"Delevan National Wildlife Refuge, J. Clark Salyer National Wildlife Refuge, Monte Vista National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.11921691894531,\n              39.34412196864768\n            ],\n            [\n              -122.11887359619139,\n              39.33469574877604\n            ],\n            [\n              -122.12865829467772,\n              39.334828521261365\n            ],\n            [\n              -122.12900161743164,\n              39.321682822112805\n            ],\n            [\n              -122.12900161743164,\n              39.31769878905631\n            ],\n            [\n              -122.11801528930664,\n              39.31716756750504\n            ],\n            [\n              -122.11801528930664,\n              39.27372656321117\n            ],\n            [\n              -122.08110809326172,\n              39.27319500791644\n            ],\n            [\n              -122.07733154296875,\n              39.27704869244068\n            ],\n            [\n              -122.07767486572266,\n              39.284489690283785\n            ],\n            [\n              -122.07286834716795,\n              39.285154026653785\n            ],\n            [\n              -122.07286834716795,\n              39.33150913348649\n            ],\n            [\n              -122.08110809326172,\n              39.33217302364838\n            ],\n            [\n              -122.08145141601561,\n              39.34359094779544\n            ],\n            [\n              -122.11921691894531,\n              39.34412196864768\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.05468776960139,\n              37.480597666970866\n            ],\n            [\n              -106.05468776960139,\n              37.47295956804537\n            ],\n            [\n              -106.04243825242341,\n              37.47295956804537\n            ],\n            [\n              -106.04243825242341,\n              37.480597666970866\n            ],\n            [\n              -106.05468776960139,\n              37.480597666970866\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100.91689643902382,\n              48.807075742439\n            ],\n            [\n              -100.91689643902382,\n              48.78301305457373\n            ],\n            [\n              -100.87075637724375,\n              48.78301305457373\n            ],\n            [\n              -100.87075637724375,\n              48.807075742439\n            ],\n            [\n              -100.91689643902382,\n              48.807075742439\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bab53e4b08c986b322d81","contributors":{"authors":[{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":463146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":2397,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert J.","email":"rdusek@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":463147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heisey, Dennis M. dheisey@usgs.gov","contributorId":2455,"corporation":false,"usgs":true,"family":"Heisey","given":"Dennis","email":"dheisey@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":463148,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037966,"text":"70037966 - 2012 - Bayesian shared frailty models for regional inference about wildlife survival","interactions":[],"lastModifiedDate":"2023-10-13T11:01:50.321221","indexId":"70037966","displayToPublicDate":"2012-04-09T16:01:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian shared frailty models for regional inference about wildlife survival","docAbstract":"One can joke that 'exciting statistics' is an oxymoron, but it is neither a joke nor an exaggeration to say that these are exciting times to be involved in statistical ecology. As Halstead <i>et al.</i>'s (2012) paper nicely exemplifies, recently developed Bayesian analyses can now be used to extract insights from data using techniques that would have been unavailable to the ecological researcher just a decade ago. Some object to this, implying that the subjective priors of the Bayesian approach is the pathway to perdition (e.g. Lele & Dennis, 2009). It is reasonable to ask whether these new approaches are really giving us anything that we could not obtain with traditional tried-and-true frequentist approaches. I believe the answer is a clear yes.","language":"English","publisher":"The Zoological Society of London","publisherLocation":"London, England","doi":"10.1111/j.1469-1795.2012.00532.x","usgsCitation":"Heisey, D., 2012, Bayesian shared frailty models for regional inference about wildlife survival: Animal Conservation, v. 15, no. 2, p. 127-128, https://doi.org/10.1111/j.1469-1795.2012.00532.x.","productDescription":"2 p.","startPage":"127","endPage":"128","numberOfPages":"8","ipdsId":"IP-036681","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474523,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1469-1795.2012.00532.x","text":"Publisher Index Page"},{"id":254471,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-19","publicationStatus":"PW","scienceBaseUri":"5059f02de4b0c8380cd4a61a","contributors":{"authors":[{"text":"Heisey, D.M.","contributorId":77496,"corporation":false,"usgs":true,"family":"Heisey","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":463181,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70037992,"text":"sir20125053 - 2012 - Hydrogeologic framework of the Wood River Valley aquifer system, south-central Idaho","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125053","displayToPublicDate":"2012-04-09T15:24:00","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":"2012-5053","title":"Hydrogeologic framework of the Wood River Valley aquifer system, south-central Idaho","docAbstract":"<p>The Wood River Valley contains most of the population of Blaine County and the cities of Sun Valley, Ketchum, Hailey, and Bellevue. This mountain valley is underlain by the alluvial Wood River Valley aquifer system, which consists primarily of a single unconfined aquifer that underlies the entire valley, an underlying confined aquifer that is present only in the southernmost valley, and the confining unit that separates them. The entire population of the area depends on groundwater for domestic supply, either from domestic or municipal-supply wells, and rapid population growth since the 1970s has caused concern about the long-term sustainability of the groundwater resource. As part of an ongoing U.S. Geological Survey effort to characterize the groundwater resources of the Wood River Valley, this report describes the hydrogeologic framework of the Wood River Valley aquifer system.</p>\r\n<p>Although most of the Wood River Valley aquifer system is composed of Quaternary-age sediments and basalts of the Wood River Valley and its tributaries, older igneous, sedimentary, or metamorphic rocks that underlie these Quaternary deposits also are used for water supply. It is unclear to what extent these rocks are hydraulically connected to the main part of Wood River Valley aquifer system and thus whether they constitute separate aquifers. Paleozoic sedimentary rocks in and near the study area that produce water to wells and springs are the Phi Kappa and Trail Creek Formations (Ordovician and Silurian), the Milligen Formation (Devonian), and the Sun Valley Group including the Wood River Formation (Pennsylvanian-Permian) and the Dollarhide Formation (Permian). These sedimentary rocks are intruded by granitic rocks of the Late Cretaceous Idaho batholith. Eocene Challis Volcanic Group rocks overlie all of the older rocks (except where removed by erosion). Miocene Idavada Volcanics are found in the southern part of the study area. Most of these rocks have been folded, faulted, and metamorphosed to some degree, thus rock types and their relationships vary over distance.</p>\r\n<p>Quaternary-age sediment and basalt compose the primary source of groundwater in the Wood River Valley aquifer system. These Quaternary deposits can be divided into three units: a coarse-grained sand and gravel unit, a fine-grained silt and clay unit, and a single basalt unit. The fine- and coarse-grained units were primarily deposited as alluvium derived from glaciation in the surrounding mountains and upper reaches of tributary canyons. The basalt unit is found in the southeastern Bellevue fan area and is composed of two flows of different ages. Most of the groundwater produced from the Wood River Valley aquifer system is from the coarse-grained deposits.</p>\r\n<p>The altitude of the pre-Quaternary bedrock surface in the Wood River Valley was compiled from about 1,000 well-driller reports for boreholes drilled to bedrock and about 70 Horizontal-to-Vertical Spectral Ratio (HVSR) ambient-noise measurements. The bedrock surface generally mimics the land surface by decreasing down tributary canyons and the main valley from north to south; it ranges from more than 6,700 feet in Baker Creek to less than 4,600 feet in the central Bellevue fan. Most of the south-central portion of the Bellevue fan is underlain by an apparent topographically closed area on the bedrock surface that appears to drain to the southwest towards Stanton Crossing. Quaternary sediment thickness ranges from less than a foot on main and tributary valley margins to about 350 feet in the central Bellevue fan.</p>\r\n<p>Hydraulic conductivity for 81 wells in the study area was estimated from well-performance tests reported on well-driller reports. Estimated hydraulic conductivity for 79 wells completed in alluvium ranges from 1,900 feet per day (ft/d) along Warm Springs Creek to less than 1 ft/d in upper Croy Canyon. A well completed in bedrock had an estimated hydraulic conductivity value of 10 ft/d, one well completed in basalt had a value of 50 ft/d, and three wells completed in the confined system had values ranging from 32 to 52 ft/d.</p>\r\n<p>Subsurface outflow of groundwater from the Wood River Valley aquifer system into the eastern Snake River Plain aquifer was estimated to be 4,000 acre-feet per year. Groundwater outflow beneath Stanton Crossing to the Camas Prairie was estimated to be 300 acre-feet per year.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125053","collaboration":"Prepared in cooperation with Blaine County, City of Hailey, City of Ketchum, The Nature Conservancy, City of Sun Valley, Sun Valley Water and Sewer District, Blaine Soil Conservation District, and City of Bellevue","usgsCitation":"Bartolino, J.R., and Adkins, C.B., 2012, Hydrogeologic framework of the Wood River Valley aquifer system, south-central Idaho: U.S. Geological Survey Scientific Investigations Report 2012-5053, vi, 36 p.; Glossary; Appendices Downloads; Plate: 22.00 x 28.02 inches, https://doi.org/10.3133/sir20125053.","productDescription":"vi, 36 p.; Glossary; Appendices Downloads; Plate: 22.00 x 28.02 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":254462,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5053/","linkFileType":{"id":5,"text":"html"}},{"id":254463,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5053.jpg"}],"country":"United States","state":"Idaho","county":"Blaine","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.65,42.266666666666666 ], [ -114.65,43.833333333333336 ], [ -114,43.833333333333336 ], [ -114,42.266666666666666 ], [ -114.65,42.266666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a33dde4b0c8380cd5f32a","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adkins, Candice B.","contributorId":34234,"corporation":false,"usgs":true,"family":"Adkins","given":"Candice","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":463226,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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