{"pageNumber":"2028","pageRowStart":"50675","pageSize":"25","recordCount":184717,"records":[{"id":97382,"text":"ds404 - 2009 - Ground-Water Quality Data in the Upper Santa Ana Watershed Study Unit, November 2006-March 2007: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"ds404","displayToPublicDate":"2009-03-18T00:00:00","publicationYear":"2009","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":"404","title":"Ground-Water Quality Data in the Upper Santa Ana Watershed Study Unit, November 2006-March 2007: Results from the California GAMA Program","docAbstract":"Ground-water quality in the approximately 1,000-square-mile Upper Santa Ana Watershed study unit (USAW) was investigated from November 2006 through March 2007 as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin project was developed in response to the Groundwater Quality Monitoring Act of 2001, and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB).\r\n\r\nThe Upper Santa Ana Watershed study was designed to provide a spatially unbiased assessment of raw ground-water quality within USAW, as well as a statistically consistent basis for comparing water quality throughout California. Samples were collected from 99 wells in Riverside and San Bernardino Counties. Ninety of the wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells). Nine wells were selected to provide additional understanding of specific water-quality issues identified within the basin (understanding wells).\r\n\r\nThe ground-water samples were analyzed for a large number of organic constituents (volatile organic compounds [VOCs], pesticides and pesticide degradates, pharmaceutical compounds, and potential wastewater-indicator compounds), constituents of special interest (perchlorate, N-nitrosodimethylamine [NDMA], 1,4-dioxane, and 1,2,3-trichloropropane [1,2,3-TCP]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), radioactive constituents, and microbial indicators. Naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen and oxygen in water) and dissolved noble gases also were measured to help identify sources and ages of the sampled ground water. Dissolved gases, and isotopes of nitrogen gas and of dissolved nitrate also were measured in order to investigate the sources and occurrence of nitrate in the study unit. In total, nearly 400 constituents and water-quality indicators were investigated for this study.\r\n\r\nThis study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, water typically is treated, disinfected, and (or) blended with other waters to maintain acceptable water quality. Regulatory thresholds apply to treated water that is served to the consumer, not to raw ground water. However, to provide some context for the results, concentrations of constituents measured in the raw ground water were compared with regulatory and non-regulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and the California Department of Public Health (CDPH) and thresholds established for aesthetic concerns (secondary maximum contaminant levels, SMCL-CA) by CDPH.\r\n\r\nVolatile organic compounds (VOCs) were detected in more than 80 percent of USAW grid wells. Most VOCs detected were at concentrations far less than thresholds established for drinking water to protect human health; however, six wells had VOC concentrations above health-based thresholds. Twenty-four of the 85 VOCs investigated were detected in the study unit;11 were detected in more than 10 percent of the wells. The VOCs detected above health-based thresholds in at least one well were dibromochloropropane (DBCP), tetrachloroethene (PCE), trichloroethene (TCE), carbon tetrachloride, and 1,1-dichoroethene. \r\n\r\nPesticide compounds were detected in more than 75 percent of the grid wells. However, of the 134 different pesticide compounds investigated, 13 were detected at concentrations greater than their respective long-term method detection limits, and only 7 compounds (all herbicides or herbicide degradates) were detected in more than 10 percent of the wells. No pesticide compound was detected above its health-based threshold, although thresholds exist for fewer than half of the pesticide compounds investigat","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds404","collaboration":"Prepared in cooperation with the California State Water Resources Control Board; A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","usgsCitation":"Kent, R., and Belitz, K., 2009, Ground-Water Quality Data in the Upper Santa Ana Watershed Study Unit, November 2006-March 2007: Results from the California GAMA Program: U.S. Geological Survey Data Series 404, x, 116 p., https://doi.org/10.3133/ds404.","productDescription":"x, 116 p.","temporalStart":"2006-11-01","temporalEnd":"2007-03-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":196082,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12438,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/404/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,32 ], [ -125,42 ], [ -114,42 ], [ -114,32 ], [ -125,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d568","contributors":{"authors":[{"text":"Kent, Robert 0000-0003-4174-9467","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":20005,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","affiliations":[],"preferred":false,"id":301926,"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97379,"text":"ofr20081347 - 2009 - The performance of nearshore dredge disposal at Ocean Beach, San Francisco, California, 2005-2007","interactions":[],"lastModifiedDate":"2022-07-13T19:01:41.588416","indexId":"ofr20081347","displayToPublicDate":"2009-03-17T00:00:00","publicationYear":"2009","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":"2008-1347","title":"The performance of nearshore dredge disposal at Ocean Beach, San Francisco, California, 2005-2007","docAbstract":"Ocean Beach, California, contains an erosion hot spot in the shadow of the San Francisco ebb tidal delta that threatens valuable public infrastructure as well as the safe recreational use of the beach. In an effort to reduce the erosion at this location a new plan for the management of sediment dredged annually from the main shipping channel at the mouth of San Francisco Bay was implemented in May 2005 by the United States Army Corps of Engineers, San Francisco District (USACE). The USACE designated a temporary nearshore dredge disposal site for the annual disposal of about 230,000 m3 (300,000 yd3) of sand about 750 m offshore and slightly south of the erosion hot spot, in depths between approximately 9 and 14 m. The site has now been used three times for a total sediment disposal of about 690,000 m3 (about 900,000 yds3). The disposal site was chosen because it is in a location where strong tidal currents and open-ocean waves can potentially feed sediment toward the littoral zone in the reach of the beach that is experiencing critical erosion, as well as prevent further scour on an exposed outfall pipe. The onshore migration of sediment from the target disposal location might feed the primary longshore bar or the nearshore zone, and provide a buffer to erosion that peaks during winter months when large waves impact the region. The United States Geological Survey (USGS) has been monitoring and modeling the bathymetric evolution of the test dredge disposal site and the adjacent coastal region since inception in May 2005. This paper reports on the first 2.5 years of this monitoring program effort (May 2005 to December 2007) and assesses the short-term coastal response. Here are the key findings of this report: \r\n\r\n*Approximately half of the sediment that has been placed in the nearshore dredge-disposal site during the 2.5 years of this study remains within the dredge focus area. \r\n\r\n*In the winter of 2006-7, large waves transported the dredge-mound material onshore. \r\n\r\n*High rates of seasonal cross-shore sediment transport mask any potential profile change in the Coastal Profiling System data due to dredge placement. \r\n\r\n*Pockets of accretion have been recorded by topographic surveying adjacent to the dredge site, but it is unclear if the accretion is linked to the nourishment. \r\n\r\n*Cross-shore profile modeling suggests that dredge material must be placed in water depths no greater than 5 m to drive a positive shoreline response. \r\n\r\n*Area modeling demonstrates that the new dredge site increases wave dissipation and modifies local sediment-transport patterns, although the effect on the nearshore morphology is largely negligible. \r\n\r\n*Any increase in beach width or wave energy-dissipation related to the nourishment is likely to be realized only in the vicinity directly onshore of the nourishment site, which is several hundred meters south of the area of critical erosion. \r\n\r\n*Larger waves from the northwest and smaller waves from the west or southwest contribute most to the sediment transport from the dredge mound onshore.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081347","usgsCitation":"Barnard, P., Erikson, L., Hansen, J., and Elias, E., 2009, The performance of nearshore dredge disposal at Ocean Beach, San Francisco, California, 2005-2007 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1347, vi, 93 p., https://doi.org/10.3133/ofr20081347.","productDescription":"vi, 93 p.","onlineOnly":"Y","temporalStart":"2005-05-01","temporalEnd":"2007-12-31","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195173,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403669,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86450.htm","linkFileType":{"id":5,"text":"html"}},{"id":12435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1347/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Ocean Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.5564,\n              37.7117\n            ],\n            [\n              -122.5033,\n              37.7117\n            ],\n            [\n              -122.5033,\n              37.7786\n            ],\n            [\n              -122.5564,\n              37.7786\n            ],\n            [\n              -122.5564,\n              37.7117\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67ae7c","contributors":{"authors":[{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":301918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H.","contributorId":10880,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","affiliations":[],"preferred":false,"id":301916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jeff E.","contributorId":60339,"corporation":false,"usgs":true,"family":"Hansen","given":"Jeff E.","affiliations":[],"preferred":false,"id":301919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":301917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179327,"text":"70179327 - 2009 - Physiological development and vulnerability to Ceratomyxa shasta of fall-run Chinook Salmon in the Upper Klamath River Watershed","interactions":[],"lastModifiedDate":"2016-12-28T14:55:57","indexId":"70179327","displayToPublicDate":"2009-03-17T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Physiological development and vulnerability to Ceratomyxa shasta of fall-run Chinook Salmon in the Upper Klamath River Watershed","docAbstract":"<p><span>We evaluated a stock for restoring runs of fall Chinook salmon </span><i>Oncorhynchus tshawytscha</i><span> in the Upper Klamath River basin by monitoring its development in Iron Gate Hatchery and in net-pens in the Williamson River and Upper Klamath Lake in Oregon. We transferred age-1 hatchery fall Chinook salmon to net-pens in October 2005 and age-0 fall Chinook salmon in May 2006. Indices of smolt development were assessed in the hatchery and after 3 and 14 d in net-pens. Based on gill Na</span><sup>+</sup><span>, K</span><sup>+</sup><span>-ATPase activity and plasma thyroxine (T4) concentration, age-1 Chinook salmon were not developing smolt characteristics in the hatchery during October. Fish transferred to the river or lake had increased plasma cortisol in response to stress and increased T4 accompanying the change in water, but they did not have altered development. Variables in the age-0 Chinook salmon indicated that the fish in the hatchery were smolting. The fish in the river net-pens lost mass and had gill ATPase activity similar to that of the fish in the hatchery, whereas the fish transferred to the lake gained mass and length, had reduced condition factor, and had higher gill ATPase than the fish in the river. These results, along with environmental variables, suggest that the conditions in the lake were more conducive to smoltification than those in the river and thus accelerated the development of Chinook salmon. No Chinook salmon in the hatchery or either net-pen became infected with the myxosporean parasite </span><i>Ceratomyxa shasta</i><span> (the presence of which in the river and lake was confirmed) during either trial or when held for 90 d after a 10-d exposure in net-pens (2006 group). We concluded that that there is little evidence of physiological impairment or significant upriver vulnerability to </span><i>C. shasta</i><span> among this stock of fall Chinook salmon that would preclude them from being reintroduced into the Upper Klamath River basin.</span></p>","language":"English","publisher":"Taylor & Francis ","doi":"10.1577/M08-230.1","usgsCitation":"Maule, A.G., Vanderkooi, S.P., Hamilton, J.B., Stocking, R., and Bartholomew, J., 2009, Physiological development and vulnerability to Ceratomyxa shasta of fall-run Chinook Salmon in the Upper Klamath River Watershed: North American Journal of Fisheries Management, v. 29, no. 6, p. 1743-1756, https://doi.org/10.1577/M08-230.1.","productDescription":"14 p. ","startPage":"1743","endPage":"1756","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-12-01","publicationStatus":"PW","scienceBaseUri":"5864dd55e4b0cd2dabe7c1e7","contributors":{"authors":[{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanderkooi, Scott P. svanderkooi@usgs.gov","contributorId":3319,"corporation":false,"usgs":true,"family":"Vanderkooi","given":"Scott","email":"svanderkooi@usgs.gov","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamilton, John B","contributorId":174701,"corporation":false,"usgs":false,"family":"Hamilton","given":"John","email":"","middleInitial":"B","affiliations":[{"id":27499,"text":"U.S. Fish and Wildlife Service, Yreka Fish and Wildlife Office 1829 S. Oregon St., Yreka, CA  96097","active":true,"usgs":false}],"preferred":false,"id":656795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stocking, Richard","contributorId":177720,"corporation":false,"usgs":false,"family":"Stocking","given":"Richard","email":"","affiliations":[],"preferred":false,"id":656796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartholomew, Jerri","contributorId":177721,"corporation":false,"usgs":false,"family":"Bartholomew","given":"Jerri","affiliations":[],"preferred":false,"id":656797,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97376,"text":"sir20095011 - 2009 - Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004","interactions":[],"lastModifiedDate":"2019-08-30T07:00:35","indexId":"sir20095011","displayToPublicDate":"2009-03-17T00:00:00","publicationYear":"2009","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":"2009-5011","title":"Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004","docAbstract":"The Nebraska Department of Natural Resources approved instream-flow appropriations on the Platte River to maintain fish communities, whooping crane roost habitat, and wet meadows used by several wild bird species. In the lower Platte River region, the Nebraska Game and Parks Commission owns an appropriation filed to maintain streamflow for fish communities between the Platte River confluence with the Elkhorn River and the mouth of the Platte River. Because Elkhorn River flow is an integral part of the flow in the reach addressed by this appropriation, the Upper Elkhorn and Lower Elkhorn Natural Resources Districts are involved in overall management of anthropogenic effects on the availability of surface water for instream requirements.\r\n\r\nThe Physical Habitat Simulation System (PHABSIM) and other estimation methodologies were used previously to determine instream requirements for Platte River biota, which led to the filing of five water appropriations applications with the Nebraska Department of Natural Resources in 1993 by the Nebraska Game and Parks Commission. One of these requested instream-flow appropriations of 3,700 cubic feet per second was for the reach from the Elkhorn River to the mouth of the Platte River. Four appropriations were granted with modifications in 1998, by the Nebraska Department of Natural Resources.\r\n\r\nDaily streamflow data for the periods of record were summarized for 17 streamflow-gaging stations in Nebraska to evaluate streamflow characteristics, including low-flow intervals for consecutive durations of 1, 3, 7, 14, 30, 60, and 183 days. Temporal trends in selected streamflow statistics were not adjusted for variability in precipitation. Results indicated significant positive temporal trends in annual flow for the period of record at eight streamflow-gaging stations - Platte River near Duncan (06774000), Platte River at North Bend (06796000), Elkhorn River at Neligh (06798500), Logan Creek near Uehling (06799500), Maple Creek near Nickerson (06800000), Elkhorn River at Waterloo (06800500), Salt Creek at Greenwood (06803555), and Platte River at Louisville (06805500). In general, sites in the Elkhorn River Basin upstream from Norfolk showed fewer significant trends than did sites downstream from Norfolk and sites in the Platte River and Salt Creek basins, where trends in low flows also were positive.\r\n\r\nHistorical Platte River streamflow records for the streamflow-gaging station at Louisville, Nebraska, were used to determine the number of days per water year (Sept. 30 to Oct. 1) when flows failed to satisfy the minimum criteria of the instream-flow appropriation prior to its filing in 1993. Before 1993, the median number of days the criteria were not satisfied was about 120 days per water year. During 1993 through 2004, daily mean flows at Louisville, Nebraska, have failed to satisfy the criteria for 638 days total (median value equals 21.5 days per year). Most of these low-flow intervals occurred in summer through early fall. For water years 1953 through 2004, of the discrete intervals when flow was less that the criteria levels, 61 percent were 3 days or greater in duration, and 38 percent were 7 days or greater in duration. The median duration of intervals of flow less than the criteria levels was 4 consecutive days during 1953 through 2004.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095011","collaboration":"Prepared in cooperation with the Upper Elkhorn Natural Resources District and the Lower Elkhorn Natural Resources District","usgsCitation":"Dietsch, B.J., Godberson, J.A., and Steele, G.V., 2009, Trends in streamflow characteristics of selected sites in the Elkhorn River, Salt Creek, and Lower Platte River Basins, Eastern Nebraska, 1928-2004, and evaluation of streamflows in relation to instream-flow criteria, 1953-2004: U.S. Geological Survey Scientific Investigations Report 2009-5011, iv, 94 p., https://doi.org/10.3133/sir20095011.","productDescription":"iv, 94 p.","temporalStart":"1928-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":126722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5011.jpg"},{"id":12562,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5011/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,40.75 ], [ -100,43 ], [ -95.5,43 ], [ -95.5,40.75 ], [ -100,40.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f127d","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godberson, Julie A.","contributorId":27574,"corporation":false,"usgs":true,"family":"Godberson","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97375,"text":"sim3070 - 2009 - Potentiometric Surface of the Upper Floridan Aquifer in the St. Johns River Water Management District and Vicinity, Florida, September 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"sim3070","displayToPublicDate":"2009-03-17T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3070","title":"Potentiometric Surface of the Upper Floridan Aquifer in the St. Johns River Water Management District and Vicinity, Florida, September 2008","docAbstract":"This map depicts the potentiometric surface of the Upper Floridan aquifer in the St. Johns River Water Management District and vicinity for September 2008. Potentiometric contours are based on water-level measurements collected at 589 wells during the period September 15-25, near the end of the wet season. Some contours are inferred from previous potentiometric-surface maps with larger well networks. The potentiometric surface of the carbonate Upper Floridan aquifer responds mainly to rainfall, and more locally, to ground-water withdrawals and spring flow. Potentiometric-surface highs generally correspond to topographic highs where the aquifer is recharged. Springs and areas of diffuse upward leakage naturally discharge water from the aquifer and are most prevalent along the St. Johns River. Areas of discharge are reflected by depressions in the potentiometric surface. Ground-water withdrawals locally have lowered the potentiometric surface. Ground water in the Upper Floridan aquifer generally flows from potentiometric highs to potentiometric lows in a direction perpendicular to the contours.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3070","collaboration":"Prepared in cooperation with the St. Johns River Water Management District, the South Florida Water Management District, and the Southwest Florida Water Management District","usgsCitation":"Kinnaman, S.L., and Dixon, J.F., 2009, Potentiometric Surface of the Upper Floridan Aquifer in the St. Johns River Water Management District and Vicinity, Florida, September 2008: U.S. Geological Survey Scientific Investigations Map 3070, Map Sheet: 36 x 52 inches, https://doi.org/10.3133/sim3070.","productDescription":"Map Sheet: 36 x 52 inches","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-09-15","temporalEnd":"2008-09-25","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":195926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12434,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3070/","linkFileType":{"id":5,"text":"html"}}],"projection":"State Plane Florida East","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.5,26.25 ], [ -83.5,31.5 ], [ -79.75,31.5 ], [ -79.75,26.25 ], [ -83.5,26.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b16e0","contributors":{"authors":[{"text":"Kinnaman, Sandra L. 0000-0003-0271-6187 kinnaman@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-6187","contributorId":1757,"corporation":false,"usgs":true,"family":"Kinnaman","given":"Sandra","email":"kinnaman@usgs.gov","middleInitial":"L.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":301897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Joann F. 0000-0001-9200-6407 jdixon@usgs.gov","orcid":"https://orcid.org/0000-0001-9200-6407","contributorId":1756,"corporation":false,"usgs":true,"family":"Dixon","given":"Joann","email":"jdixon@usgs.gov","middleInitial":"F.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301896,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156081,"text":"70156081 - 2009 - Does mobility explain variation in colonisation and population recovery among stream fishes?","interactions":[],"lastModifiedDate":"2015-08-18T11:24:42","indexId":"70156081","displayToPublicDate":"2009-03-16T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Does mobility explain variation in colonisation and population recovery among stream fishes?","docAbstract":"<div class=\"para\">\n<p>1. Colonisation and population recovery are crucial to species persistence in environmentally variable ecosystems, but are poorly understood processes. After documenting movement rates for several species of stream fish, we predicted that this variable would influence colonisation rates more strongly than local abundance, per cent occupancy, body size and taxonomic family. We also predicted that populations of species with higher movement rates would recover more rapidly than species with lower movement rates and that assemblage structure would change accordingly.</p>\n</div>\n<div class=\"para\">\n<p>2. To test these predictions, we removed fishes from a headwater and a mainstem creek in southwest Virginia and monitored colonisation over a 2-year period. Using an information&ndash;theoretic approach, we evaluated the relative plausibility of 15 alternative models containing different combinations of our predictor variables. Our best-supported model contained movement rate and abundance and was 41 times more likely to account for observed patterns in colonisation rates than the next-best model. Movement rate and abundance were both positively related to colonisation rates and explained 88% of the variation in colonisation rates among species.</p>\n</div>\n<div class=\"para\">\n<p>3. Population recovery, measured as the per cent of initial abundance restored, was also positively associated with movement rate. One species recovered within 3&nbsp;months, most recovered within 2&nbsp;years, but two species still had not recovered after 2&nbsp;years. Despite high variation in recovery, the removal had only a slight impact on assemblage structure because species that were abundant in pre-removal samples were also abundant in post-removal samples.</p>\n</div>\n<div class=\"para\">\n<p>4. The significance of interspecific variation in colonisation and recovery rates has been underappreciated because of the widely documented recovery of stream fish assemblages following fish kills and small-scale experimental defaunations. Our results indicate that recovery of the overall assemblage does not imply recovery of each component species. Populations of species that are rare and less mobile will recover more slowly and will be more vulnerable to extinction in systems where chemical spills, hydrological alteration, extreme droughts and other impacts are frequent.</p>\n</div>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2009.02194.x","usgsCitation":"Angermeier, P.L., Albanese, B., and Peterson, J., 2009, Does mobility explain variation in colonisation and population recovery among stream fishes?: Freshwater Biology, v. 54, no. 7, p. 1444-1460, https://doi.org/10.1111/j.1365-2427.2009.02194.x.","productDescription":"16 p.","startPage":"1444","endPage":"1460","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009604","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.61654663085938,\n              37.475675484318714\n            ],\n            [\n              -79.61654663085938,\n              37.54566616715801\n            ],\n            [\n              -79.5303726196289,\n              37.54566616715801\n            ],\n            [\n              -79.5303726196289,\n              37.475675484318714\n            ],\n            [\n              -79.61654663085938,\n              37.475675484318714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-06-03","publicationStatus":"PW","scienceBaseUri":"55d4572ee4b0518e354694b4","contributors":{"authors":[{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":567834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albanese, Brett","contributorId":146590,"corporation":false,"usgs":false,"family":"Albanese","given":"Brett","email":"","affiliations":[],"preferred":false,"id":568397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":568398,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198250,"text":"70198250 - 2009 - The length of channelized lava flows: Insight from the 1859 eruption of Mauna Loa Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2018-07-23T11:27:38","indexId":"70198250","displayToPublicDate":"2009-03-16T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The length of channelized lava flows: Insight from the 1859 eruption of Mauna Loa Volcano, Hawai‘i","docAbstract":"<p><span>The 1859 eruption of Mauna Loa Volcano, Hawai'i, produced paired 'a'ā and pāhoehoe flows of exceptional length (51&nbsp;km). The 'a'ā flow field is distinguished by a long (&gt;</span><span>&nbsp;</span><span>36&nbsp;km) and well-defined pāhoehoe-lined channel, indicating that channelized lava remained fluid to great distances from the vent. The 1859 eruption was further unusual in initiating at a radial vent on the volcano's northwest flank, instead of along the well-defined rift zone that has been the source of most historic activity. As such, it presents an opportunity both to examine controls on the emplacement of long lava channels and to assess hazards posed by future flank eruptions of Mauna Loa. Here we combine evidence from historical chronicles with analysis of bulk compositions, glass geothermometry, and microlite textures of samples collected along the 1859 lava flows to constrain eruption and flow emplacement conditions. The bulk compositions of samples from the 'a'ā and pāhoehoe flow fields are bimodally distributed and indicate tapping of two discrete magma bodies during eruption. Samples from the pāhoehoe flow field have bulk compositions similar to those of historically-erupted lavas (&lt;</span><span>&nbsp;</span><span>8&nbsp;wt.% MgO); lava that fed the 'a'ā channel is more primitive (&gt;</span><span>&nbsp;</span><span>8&nbsp;wt.% MgO), nearly aphyric, and was erupted at high temperatures (1194–1216&nbsp;°C). We suggest that the physical properties of proximal channel-fed lava (i.e., high-temperature, low crystallinity, and low bulk viscosity) promoted both rapid flow advance and development of long pāhoehoe-lined channels. Critical for the latter was the large temperature decrease (~</span><span>&nbsp;</span><span>50&nbsp;°C) required to reach the point at which plagioclase and pyroxene started to crystallize; the importance of phase constraints are emphasized by our difficulty in replicating patterns of cooling and crystallization recorded by high-temperature field samples using common models of flow emplacement. Placement of the 1859 eruption within the context of historic activity at Mauna Loa suggests that the formation of radial vents and eruptions of high-temperature magma may not only be linked, but may also be a consequence of periods of high magma supply (e.g., 1843–1877). Flank eruptions could therefore warrant special consideration in models and hazard mitigation efforts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2009.03.002","usgsCitation":"Riker, J.M., Cashman, K.V., Kauahikaua, J.P., and Montierth, C.M., 2009, The length of channelized lava flows: Insight from the 1859 eruption of Mauna Loa Volcano, Hawai‘i: Journal of Volcanology and Geothermal Research, v. 183, no. 3-4, https://doi.org/10.1016/j.jvolgeores.2009.03.002.","productDescription":"18 p.","endPage":"139","numberOfPages":"156","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":355907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hawai'i Volcanoes National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.665283203125,\n              18.904987289157642\n            ],\n            [\n              -155.57876586914062,\n              18.97513000046634\n            ],\n            [\n              -155.57052612304688,\n              18.999802829053262\n            ],\n            [\n              -155.54443359374997,\n              19.036156118717336\n            ],\n            [\n              -155.5389404296875,\n              19.05692585554252\n            ],\n            [\n              -155.5389404296875,\n              19.066011797810056\n            ],\n            [\n              -155.533447265625,\n              19.08158654022563\n            ],\n            [\n              -155.52520751953125,\n              19.094564373653768\n            ],\n            [\n              -155.50186157226562,\n              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19.24762580585515\n            ],\n            [\n              -155.16952514648435,\n              19.257997699830604\n            ],\n            [\n              -155.12969970703125,\n              19.257997699830604\n            ],\n            [\n              -155.10360717773438,\n              19.269665296502332\n            ],\n            [\n              -155.09124755859375,\n              19.28262831864838\n            ],\n            [\n              -155.06378173828125,\n              19.294294161374822\n            ],\n            [\n              -155.04318237304688,\n              19.296886457967965\n            ],\n            [\n              -155.0006103515625,\n              19.321511226817176\n            ],\n            [\n              -154.97451782226562,\n              19.34094921327487\n            ],\n            [\n              -154.93743896484375,\n              19.359089245934307\n            ],\n            [\n              -154.90997314453125,\n              19.38240918011228\n            ],\n            [\n              -154.86328125,\n              19.42644883261674\n            ],\n            [\n              -155.12832641601562,\n              19.519669847423703\n            ],\n            [\n              -155.3192138671875,\n              19.52484721904625\n            ],\n            [\n              -155.53619384765625,\n              19.53390722018251\n            ],\n            [\n              -155.65292358398435,\n              19.518375478601566\n            ],\n            [\n              -155.72845458984375,\n              19.452348936859018\n            ],\n            [\n              -155.79299926757812,\n              19.35001948171314\n            ],\n            [\n              -155.8135986328125,\n              19.269665296502332\n            ],\n            [\n              -155.8355712890625,\n              19.230770079948247\n            ],\n            [\n              -155.81771850585938,\n              19.182786626300352\n            ],\n            [\n              -155.85479736328125,\n              19.146465526304357\n            ],\n            [\n              -155.84518432617188,\n              19.088075584093136\n            ],\n            [\n              -155.84243774414062,\n              19.017980467662962\n            ],\n            [\n              -155.82321166992188,\n              19.01538378379675\n            ],\n            [\n              -155.80398559570312,\n              18.999802829053262\n            ],\n            [\n              -155.78750610351562,\n              18.98941471523932\n            ],\n            [\n              -155.77377319335938,\n              18.981623204500767\n            ],\n            [\n              -155.76278686523435,\n              18.971233956586723\n            ],\n            [\n              -155.74768066406247,\n              18.966039089744722\n            ],\n            [\n              -155.73257446289062,\n              18.96214283338193\n            ],\n            [\n              -155.71197509765625,\n              18.955648870479035\n            ],\n            [\n              -155.7037353515625,\n              18.94266018631978\n            ],\n            [\n              -155.6982421875,\n              18.933567506038145\n            ],\n            [\n              -155.6982421875,\n              18.92187618976372\n            ],\n            [\n              -155.69412231445312,\n              18.907585692574216\n            ],\n            [\n              -155.69412231445312,\n              18.90108960836388\n            ],\n            [\n              -155.665283203125,\n              18.904987289157642\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"183","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98ba10e4b0702d0e8452ef","contributors":{"authors":[{"text":"Riker, Jenny M.","contributorId":206488,"corporation":false,"usgs":false,"family":"Riker","given":"Jenny","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":740734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Katharine V.","contributorId":199542,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine","email":"","middleInitial":"V.","affiliations":[{"id":13025,"text":"Department of Geological Sciences, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":740735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Montierth, Charlene M.","contributorId":206489,"corporation":false,"usgs":false,"family":"Montierth","given":"Charlene","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":740737,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97347,"text":"sir20085184 - 2009 - Processing, Analysis, and General Evaluation of Well-Driller Logs for Estimating Hydrogeologic Parameters of the Glacial Sediments in a Ground-Water Flow Model of the Lake Michigan Basin","interactions":[],"lastModifiedDate":"2016-05-09T11:15:34","indexId":"sir20085184","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2008-5184","title":"Processing, Analysis, and General Evaluation of Well-Driller Logs for Estimating Hydrogeologic Parameters of the Glacial Sediments in a Ground-Water Flow Model of the Lake Michigan Basin","docAbstract":"<p>In 2005, the U.S. Geological Survey began a pilot study for the National Assessment of Water Availability and Use Program to assess the availability of water and water use in the Great Lakes Basin. Part of the study involves constructing a ground-water flow model for the Lake Michigan part of the Basin. Most ground-water flow occurs in the glacial sediments above the bedrock formations; therefore, adequate representation by the model of the horizontal and vertical hydraulic conductivity of the glacial sediments is important to the accuracy of model simulations. This work processed and analyzed well records to provide the hydrogeologic parameters of horizontal and vertical hydraulic conductivity and ground-water levels for the model layers used to simulated ground-water flow in the glacial sediments. The methods used to convert (1) lithology descriptions into assumed values of horizontal and vertical hydraulic conductivity for entire model layers, (2) aquifer-test data into point values of horizontal hydraulic conductivity, and (3) static water levels into water-level calibration data are presented. A large data set of about 458,000 well driller well logs for monitoring, observation, and water wells was available from three statewide electronic data bases to characterize hydrogeologic parameters. More than 1.8 million records of lithology from the well logs were used to create a lithologic-based representation of horizontal and vertical hydraulic conductivity of the glacial sediments. Specific-capacity data from about 292,000 well logs were converted into horizontal hydraulic conductivity values to determine specific values of horizontal hydraulic conductivity and its aerial variation. About 396,000 well logs contained data on ground-water levels that were assembled into a water-level calibration data set. A lithology-based distribution of hydraulic conductivity was created by use of a computer program to convert well-log lithology descriptions into aquifer or nonaquifer categories and to calculate equivalent horizontal and vertical hydraulic conductivities (K and KZ, respectively) for each of the glacial layers of the model. The K was based on an assumed value of 100 ft/d (feet per day) for aquifer materials and 1 ft/d for nonaquifer materials, whereas the equivalent KZ was based on an assumed value of 10 ft/d for aquifer materials and 0.001 ft/d for nonaquifer materials. These values were assumed for convenience to determine a relative contrast between aquifer and nonaquifer materials. The point values of K and KZ from wells that penetrate at least 50 percent of a model layer were interpolated into a grid of values. The K distribution was based on an inverse distance weighting equation that used an exponent of 2. The KZ distribution used inverse distance weighting with an exponent of 4 to represent the abrupt change in KZ that commonly occurs between aquifer and nonaquifer materials. The values of equivalent hydraulic conductivity for aquifer sediments needed to be adjusted to actual values in the study area for the ground-water flow modeling. The specific-capacity data (discharge, drawdown, and time data) from the well logs were input to a modified version of the Theis equation to calculate specific capacity based horizontal hydraulic conductivity values (KSC). The KSC values were used as a guide for adjusting the assumed value of 100 ft/d for aquifer deposits to actual values used in the model. Water levels from well logs were processed to improve reliability of water levels for comparison to simulated water levels in a model layer during model calibration. Water levels were interpolated by kriging to determine a composite water-level surface. The difference between the kriged surface and individual water levels was used to identify outlier water levels. Examination of the well-log lithology data in map form revealed that the data were not only useful for model input, but also were useful for understanding th</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085184","isbn":"9781411323025","usgsCitation":"Arihood, L.D., 2009, Processing, Analysis, and General Evaluation of Well-Driller Logs for Estimating Hydrogeologic Parameters of the Glacial Sediments in a Ground-Water Flow Model of the Lake Michigan Basin: U.S. Geological Survey Scientific Investigations Report 2008-5184, vi, 26 p., https://doi.org/10.3133/sir20085184.","productDescription":"vi, 26 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":195103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20085184.GIF"},{"id":12405,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5184/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.5,41.5 ], [ -90.5,47 ], [ -82,47 ], [ -82,41.5 ], [ -90.5,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64aedb","contributors":{"authors":[{"text":"Arihood, Leslie D. 0000-0001-5792-3699 larihood@usgs.gov","orcid":"https://orcid.org/0000-0001-5792-3699","contributorId":2357,"corporation":false,"usgs":true,"family":"Arihood","given":"Leslie","email":"larihood@usgs.gov","middleInitial":"D.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301778,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97355,"text":"sir20095045 - 2009 - Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003","interactions":[],"lastModifiedDate":"2018-05-13T12:11:41","indexId":"sir20095045","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5045","title":"Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003","docAbstract":"<p>Aerial surveys of all known sea otter (Enhydra lutris) habitat in Southeast Alaska (SE AK) in 2002-2003 indicated a population size of 8,949 otters [Standard Error (SE) = 899] at an average density of 0.92 otters per square kilometer. These findings on sea otter distribution and abundance were compared to results from several previous surveys. Sea otters have expanded their range beyond the outer coast of SE AK and currently occupy inside waters such as Glacier Bay and Sumner Strait. This range expansion, along with archeological evidence, supports the hypothesis that sea otters are capable of colonizing inside waters in SE AK. Inside Glacier Bay National Park and Preserve, in northern SE AK, sea otter abundance has increased from 5 in 1995 to 1,266 (SE = 196) in 2002, more than doubling on an average annual basis, indicating immigration and reproduction as factors contributing to population growth. In the remainder of northern SE AK, the estimated abundance has declined from 2,295 in 1987 to 1,838 (SE = 307) in 2002. In southern SE AK, the abundance of sea otters increased from 2,167 in 1988 to 5,845 (SE = 821) in 2003. Overall, population growth rates for sea otters in SE AK between 1987 and 2003 are much lower than rates from previous studies and were unexpected given the amount of unoccupied habitat available in SE AK. Divergent population trajectories were evident between the southern (6.6 percent per year) and northern areas of SE AK (2.0 percent per year). These differences suggest variation in reproductive or survival rates between the areas. Harvest levels between 1989 and 2003 may have had a measurable effect on sea otter populations in SE AK. Available data on age and sex specific fecundity and survival rates could be used to develop age- and sex-structured population matrix models to help guide management and conservation of sea otter populations.</p>","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095045","issn":"2328-031X","collaboration":"Jointly supported by the U.S. Geological Survey, U.S. Fish and Wildlife Service, and Glacier Bay National Park and Preserve","usgsCitation":"Esslinger, G.G., and Bodkin, J.L., 2009, Status and Trends of Sea Otter Populations in Southeast Alaska, 1969-2003: U.S. Geological Survey Scientific Investigations Report 2009-5045, 19 p., https://doi.org/10.3133/sir20095045.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":124867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5045.jpg"},{"id":12414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5045/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6976ce","contributors":{"authors":[{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":301805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":301804,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97348,"text":"ofr20091043 - 2009 - Spring and Summer Spatial Distribution of Endangered Juvenile Lost River and Shortnose Suckers in Relation to Environmental Variables in Upper Klamath Lake, Oregon: 2007 Annual Report","interactions":[],"lastModifiedDate":"2012-02-02T00:14:25","indexId":"ofr20091043","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-1043","title":"Spring and Summer Spatial Distribution of Endangered Juvenile Lost River and Shortnose Suckers in Relation to Environmental Variables in Upper Klamath Lake, Oregon: 2007 Annual Report","docAbstract":"Lost River sucker Deltistes luxatus and shortnose sucker Chasmistes brevirostris were listed as endangered in 1988 for a variety of reasons including apparent recruitment failure. Upper Klamath Lake, Oregon, and its tributaries are considered the most critical remaining habitat for these two species. Age-0 suckers are often abundant in Upper Klamath Lake throughout the summer months, but catches decline dramatically between late August and early September each year, and age-1 and older subadult suckers are rare. These rapid declines in catch rates and a lack of substantial recruitment into adult sucker populations in recent years suggests sucker populations experience high mortality between their first summer and first spawn. A lack of optimal rearing habitat may exacerbate juvenile sucker mortality or restrict juvenile growth or development. \r\n\r\nIn 2007, we continued research on juvenile sucker habitat use begun by the U.S. Geological Survey (USGS) in 2001. Age-0 catch rates in 2006 were more than an order of magnitude greater than in previous years, which prompted us to refocus our research from age-0 suckers to age-1 sucker distributions and habitat use. We took a two-phased approach to our research in 2007 that included preliminary spring sampling and intense summer sampling components. Spring sampling was a pilot study designed to gather baseline data on the distribution of age-1 suckers as they emerge from winter in shoreline environments throughout Upper Klamath Lake (Chapter 1). Whereas, summer sampling was designed to quantitatively estimate the influence of environmental variables on age-0 and age-1 sucker distribution throughout Upper Klamath Lake, while accounting for imperfect detection (Chapter 2). In addition to these two components, we began a project to evaluate passive integrated transponder (PIT) tag loss and the effects of PIT tags on mortality of age-1 Lost River suckers (Chapter 3).\r\n\r\nThe spring pilot study built the foundation for future research on post-wintering juvenile sucker distribution and habitat use studies. Only 34 percent of nets set during spring sampling (April 2 to May 29) caught juvenile suckers and catch rates were low (0.038 to 0.405 suckers/hour) and widely distributed throughout shoreline areas. Of 13 suckers sacrificed for identification, only one was determined to be a Lost River sucker. All others were either shortnose suckers or Klamath largescale Catostomus snyderi suckers, but were not identified to species. Suckers caught during the spring averaged 93 +- 2 millimeter (mm) standard length (SL; mean +- SE) and were all estimated to be a year old. Spring catches did not vary in respect to nearness to tributary streams or rivers, substrate type, area of the lake, or distance from shore. On the other hand, a higher percentage of nets caught at least one sucker when they were set within 50 meters (m) of a wetland edge (60 percent) compared to nets set 200 m from a wetland (30 percent) or in other shoreline areas (29 percent). Our results also suggest that in the spring age-1 suckers use habitats less than 2 m deep at a greater frequency than deeper environments, a trend that was reversed in the summer. \r\n\r\nTemporal trends in summer catch rates of age-0 suckers generally were similar to those in previous years, with a peak during the week of August 5. In contrast, age-1 sucker catches were relatively high until the week of July 16, but rapidly declined each week for the rest of the sampling season. Age-0 suckers were caught at higher rates than age-1 suckers though the summer, but both age groups were captured at a similar percentage of sites (age-0, 26.5 percent and age-1, 27.4 percent). Age-0 catches were composed of slightly more Lost River suckers (53.2 percent) than shortnose suckers (42.1 percent). In contrast, most age-1 suckers were shortnose suckers (72.7 percent). \r\n\r\nOur summer sampling indicates age-0 suckers within Upper Klamath Lake primarily are habitat generalists, whe","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091043","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Burdick, S.M., VanderKooi, S., and Anderson, G.O., 2009, Spring and Summer Spatial Distribution of Endangered Juvenile Lost River and Shortnose Suckers in Relation to Environmental Variables in Upper Klamath Lake, Oregon: 2007 Annual Report: U.S. Geological Survey Open-File Report 2009-1043, iv, 57 p., https://doi.org/10.3133/ofr20091043.","productDescription":"iv, 57 p.","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":195758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12406,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1043/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4a00","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":301779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanderKooi, Scott P.","contributorId":106584,"corporation":false,"usgs":true,"family":"VanderKooi","given":"Scott P.","affiliations":[],"preferred":false,"id":301781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Greer O.","contributorId":24459,"corporation":false,"usgs":true,"family":"Anderson","given":"Greer","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":301780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97352,"text":"sir20095003 - 2009 - Ground-water-withdrawal component of the Michigan water-withdrawal screening tool","interactions":[],"lastModifiedDate":"2017-01-23T10:38:47","indexId":"sir20095003","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5003","title":"Ground-water-withdrawal component of the Michigan water-withdrawal screening tool","docAbstract":"<p>A water-withdrawal assessment process and Internet-based screening tool have been developed to evaluate proposed new or increased high-capacity water withdrawals in Michigan. Michigan legislation defines high capacity withdrawals as those capable of removing an average of 100,000 gallons per day for a consecutive 30-day period. This report describes the ground-water component of the screening tool, provides background information used to develop the screening tool, and documents how this component of the screening tool is implemented. The screening tool is based on application of an analytical model to estimate streamflow depletion by a proposed pumping well. The screening tool is designed to evaluate intermittent pumping, to account for the dynamics of stream-aquifer interaction, and to apportion streamflow depletion among neighboring streams. The tool is to be used for an initial screening of a proposed new or increased high-capacity withdrawal in order to identify withdrawals that may cause adverse resource impacts. The screening tool is not intended to be a site-specific design tool. Results of an example application of the screening tool in Kalamazoo County, Mich., are compared to streamflow depletion estimated by use of a regional ground-water-flow model to demonstrate its performance.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095003","collaboration":"Prepared in cooperation with the Michigan Department of Environmental Quality, Michigan Department of Natural Resources, University of Michigan-Institute for Fisheries Research, and Michigan State University-Institute for Water Research","usgsCitation":"Reeves, H.W., Hamilton, D.A., Seelbach, P.W., and Asher, A., 2009, Ground-water-withdrawal component of the Michigan water-withdrawal screening tool (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2009-5003, v, 36 p., https://doi.org/10.3133/sir20095003.","productDescription":"v, 36 p.","onlineOnly":"Y","costCenters":[{"id":382,"text":"Michigan Water Science 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 \"}}]}\n","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d480","contributors":{"authors":[{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, David A.","contributorId":102172,"corporation":false,"usgs":true,"family":"Hamilton","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seelbach, Paul W. pseelbach@usgs.gov","contributorId":3937,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","email":"pseelbach@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":301799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asher, A. Jeremiah","contributorId":34098,"corporation":false,"usgs":true,"family":"Asher","given":"A. Jeremiah","affiliations":[],"preferred":false,"id":301800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97354,"text":"sir20095014 - 2009 - Hydrogeologic Framework and Occurrence and Movement of Ground Water in the Upper Humboldt River Basin, Northeastern Nevada","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20095014","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5014","title":"Hydrogeologic Framework and Occurrence and Movement of Ground Water in the Upper Humboldt River Basin, Northeastern Nevada","docAbstract":"The upper Humboldt River basin encompasses 4,364 square miles in northeastern Nevada, and it comprises the headwaters area of the Humboldt River. Nearly all flow of the river originates in this area. The upper Humboldt River basin consists of several structural basins, in places greater than 5,000 feet deep, in which basin-fill deposits of Tertiary and Quaternary age and volcanic rocks of Tertiary age have accumulated. The bedrock of each structural basin and adjacent mountains is composed of carbonate and clastic sedimentary rocks of Paleozoic age and crystalline rocks of Paleozoic, Mesozoic and Cenozoic age. The permeability of bedrock generally is very low except for carbonate rocks, which can be very permeable where circulating ground water has widened fractures through geologic time.\r\n\r\nThe principal aquifers in the upper Humboldt River basin occur within the water-bearing strata of the extensive older basin-fill deposits and the thinner, younger basin-fill deposits that underlie stream flood plains. Ground water in these aquifers moves from recharge areas along mountain fronts to discharge areas along stream flood plains, the largest of which is the Humboldt River flood plain. The river gains flow from ground-water seepage to its channel from a few miles west of Wells, Nevada, to the west boundary of the study area.\r\n\r\nWater levels in the upper Humboldt River basin fluctuate annually in response to the spring snowmelt and to the distribution of streamflow diverted for irrigation of crops and meadows. Water levels also have responded to extended periods (several years) of above or below average precipitation. As a result of infiltration from the South Fork Reservoir during the past 20 years, ground-water levels in basin-fill deposits have risen over an area as much as one mile beyond the reservoir and possibly even farther away in Paleozoic bedrock.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095014","collaboration":"Prepared in cooperation with Elko County, Nevada","usgsCitation":"Plume, R.W., 2009, Hydrogeologic Framework and Occurrence and Movement of Ground Water in the Upper Humboldt River Basin, Northeastern Nevada: U.S. Geological Survey Scientific Investigations Report 2009-5014, iv, 23 p., https://doi.org/10.3133/sir20095014.","productDescription":"iv, 23 p.","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":195521,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12413,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5014/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.5,39.75 ], [ -116.5,42 ], [ -114.5,42 ], [ -114.5,39.75 ], [ -116.5,39.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628d90","contributors":{"authors":[{"text":"Plume, Russell W. rwplume@usgs.gov","contributorId":2303,"corporation":false,"usgs":true,"family":"Plume","given":"Russell","email":"rwplume@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":301803,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97365,"text":"fs20083100 - 2009 - Fort Collins Science Center Ecosystem Dynamics Branch","interactions":[],"lastModifiedDate":"2012-02-02T00:14:24","indexId":"fs20083100","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2008-3100","title":"Fort Collins Science Center Ecosystem Dynamics Branch","docAbstract":"Complex natural resource issues require understanding a web of interactions among ecosystem components that are (1) interdisciplinary, encompassing physical, chemical, and biological processes; (2) spatially complex, involving movements of animals, water, and airborne materials across a range of landscapes and jurisdictions; and (3) temporally complex, occurring over days, weeks, or years, sometimes involving response lags to alteration or exhibiting large natural variation. Scientists in the Ecosystem Dynamics Branch of the U.S. Geological Survey, Fort Collins Science Center, investigate a diversity of these complex natural resource questions at the landscape and systems levels. This Fact Sheet describes the work of the Ecosystems Dynamics Branch, which is focused on energy and land use, climate change and long-term integrated assessments, herbivore-ecosystem interactions, fire and post-fire restoration, and environmental flows and river restoration.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20083100","usgsCitation":"Wilson, J., Melcher, C., and Bowen, Z., 2009, Fort Collins Science Center Ecosystem Dynamics Branch: U.S. Geological Survey Fact Sheet 2008-3100, 4 p., https://doi.org/10.3133/fs20083100.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":121097,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3100.jpg"},{"id":12424,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3100/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48ece4b07f02db556349","contributors":{"authors":[{"text":"Wilson, Jim","contributorId":10503,"corporation":false,"usgs":false,"family":"Wilson","given":"Jim","affiliations":[],"preferred":false,"id":301853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melcher, C.","contributorId":26267,"corporation":false,"usgs":true,"family":"Melcher","given":"C.","email":"","affiliations":[],"preferred":false,"id":301854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Z.","contributorId":51867,"corporation":false,"usgs":true,"family":"Bowen","given":"Z.","email":"","affiliations":[],"preferred":false,"id":301855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97356,"text":"sir20085069 - 2009 - Estimation of selenium loads entering the south arm of Great Salt Lake, Utah, from May 2006 through March 2008","interactions":[],"lastModifiedDate":"2017-01-25T11:55:21","indexId":"sir20085069","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2008-5069","title":"Estimation of selenium loads entering the south arm of Great Salt Lake, Utah, from May 2006 through March 2008","docAbstract":"Discharge and water-quality data collected from six streamflow-gaging stations were used in combination with the LOADEST software to provide an estimate of total (dissolved + particulate) selenium (Se) load to the south arm of Great Salt Lake (GSL) from May 2006 through March 2008. Total estimated Se load to GSL during this time period was 2,370 kilograms (kg). The 12-month estimated Se load to GSL for May 1, 2006, to April 30, 2007, was 1,560 kg. During the 23-month monitoring period, inflows from the Kennecott Utah Copper Corporation (KUCC) Drain and Bear River outflow contributed equally to the largest proportion of total Se load to GSL, accounting for 49 percent of the total Se load. Five instantaneous discharge measurements at three sites along the railroad causeway indicate a consistent net loss of Se mass from the south arm to the north arm of GSL (mean = 2.4 kg/day, n = 5). Application of the average daily loss rate equates to annual Se loss rate to the north arm of 880 kg (56 percent of the annual Se input to the south arm). The majority of Se in water entering GSL is in the dissolved (less than 0.45 micron) state and ranges in concentration from 0.06 to 35.7 micrograms per liter (ug/L). Particulate Se concentration ranged from less than 0.05 to 2.5 ug/L. Except for the KUCC Drain streamflow-gaging station, dissolved (less than 0.45 um) inflow samples contain an average of 21 percent selenite (SeO32-) during two sampling events (May 2006 and 2007).\r\n\r\nSelenium concentration in water samples collected from four monitoring sites within GSL during May 2006 through August 2007 were used to understand how the cumulative Se load was being processed by various biogeochemical processes within the lake. On the basis of the Mann-Kendall test results, changes in dissolved Se concentration at the four monitoring sites indicate a statistically significant (90-percent confidence interval) upward trend in Se concentration over the 16-month monitoring period. Furthermore, the upward trend at three of the four GSL sites also was significant at the 95-percent confidence interval. Given the large amount of Se removal from GSL of greater than 1,900 kg/year by gaseous flux and permanent sedimentation, the observed increase in both dissolved (less than 0.45 micron) and total (dissolved + particulate) Se in the open-water monitoring sites indicates additional, unquantified source(s) of Se are contributing substantial masses of Se load to the south arm of GSL. Potential source(s) of this unmeasured Se load could include (1) Se loads entering GSL from unmeasured surface inflows; (2) ground-water discharge to GSL; (3) wind-blown dust that is deposited directly on the lake surface; (4) wet and dry atmospheric deposition falling directly on the lake surface; and (5) lake sediment pore-water diffusion into the overlying water column. Electrical resistivity surveys in the south part of GSL indicate areas of potential ground-water discharge to the open water of GSL and elevated (exceeding 10,000 ug/L) Se concentrations have been previously measured in ground water within 1.6 kilometers of the south shore of GSL.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085069","collaboration":"Prepared in cooperation with the Utah Department of Environmental Quality/Division of Water Quality, Utah Department of Natural Resources/Division of Wildlife Resources, and the University of Utah","usgsCitation":"Naftz, D.L., Johnson, W.P., Freeman, M.L., Beisner, K., Diaz, X., and Cross, V.A., 2009, Estimation of selenium loads entering the south arm of Great Salt Lake, Utah, from May 2006 through March 2008: U.S. Geological Survey Scientific Investigations Report 2008-5069, Report: vi, 41 p.; Appendix A (ZIP file), https://doi.org/10.3133/sir20085069.","productDescription":"Report: vi, 41 p.; Appendix A (ZIP file)","numberOfPages":"50","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-05-01","temporalEnd":"2008-03-31","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":195540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12415,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5069/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113,40.5 ], [ -113,41.5 ], [ -111.75,41.5 ], [ -111.75,40.5 ], [ -113,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbcc2","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":301811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Michael L. mfreeman@usgs.gov","contributorId":1042,"corporation":false,"usgs":true,"family":"Freeman","given":"Michael","email":"mfreeman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":301807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beisner, Kimberly","contributorId":85284,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","affiliations":[],"preferred":false,"id":301809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diaz, Ximena","contributorId":71286,"corporation":false,"usgs":true,"family":"Diaz","given":"Ximena","email":"","affiliations":[],"preferred":false,"id":301808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, VeeAnn A.","contributorId":103311,"corporation":false,"usgs":true,"family":"Cross","given":"VeeAnn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301810,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97350,"text":"pp1759 - 2009 - Post-Miocene Right Separation on the San Gabriel and Vasquez Creek Faults, with Supporting Chronostratigraphy, Western San Gabriel Mountains, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"pp1759","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1759","title":"Post-Miocene Right Separation on the San Gabriel and Vasquez Creek Faults, with Supporting Chronostratigraphy, Western San Gabriel Mountains, California","docAbstract":"The right lateral San Gabriel Fault Zone in southern California extends from the northwestern corner of the Ridge Basin southeastward to the eastern end of the San Gabriel Mountains. It bifurcates to the southeast in the northwestern San Gabriel Mountains. The northern and older branch curves eastward in the range interior. The southern younger branch, the Vasquez Creek Fault, curves southeastward to merge with the Sierra Madre Fault Zone, which separates the San Gabriel Mountains from the northern Los Angeles Basin margin. An isolated exposure of partly macrofossiliferous nearshore shallow-marine sandstone, designated the Gold Canyon beds, is part of the southwest wall of the fault zone 5.5 km northwest of the bifurcation. These beds contain multiple subordinate breccia-conglomerate lenses and are overlain unconformably by folded Pliocene-Pleistocene Saugus Formation fanglomerate. The San Gabriel Fault Zone cuts both units. \r\n\r\nMarine macrofossils from the Gold Canyon beds give an age of 5.2+-0.3 Ma by 87Sr/86Sr analyses. Magnetic polarity stratigraphy dates deposition of the overlying Saugus Formation to between 2.6 Ma and 0.78 Ma. Distinctive metaplutonic rocks of the Mount Lowe intrusive suite in the San Gabriel Range are the source of certain clasts in both the Gold Canyon beds and Saugus Formation. Angular clasts of nondurable Paleocene sandstone also occur in the Gold Canyon beds. The large size and angularity of some of the largest of both clast types in breccia-conglomerate lenses of the beds suggest landslides or debris flows from steep terrain. Sources of Mount Lowe clasts, originally to the north or northeast, are now displaced southeastward by faulting and are located between the San Gabriel and Vasquez Creek faults, indicating as much as 12+-2 km of post-Miocene Vasquez Creek Fault right separation, in accord with some prior estimates. Post-Miocene right slip thus transferred onto the Vasquez Creek Fault southeast of the bifurcation. The right separation on the Vasquez Creek Fault adds to the generally accepted 22-23 km of middle-late Miocene right separation established for the San Gabriel Fault east of the bifurcation, resulting in total right separation of 34-35 km northwest of the bifurcation. \r\n\r\nClast sizes and lithologies in Saugus Formation deformed alluvial fan deposits in the Gold and Little Tujunga Canyons area indicate that alluvial stream flow was from the north or north-northeast. The alluvial fan complex is beheaded at the San Gabriel Fault Zone, and no correlative deposits have been found north of the fault zone. Likely sources of several distinctive clast types are east of the bifurcation and north of the Vasquez Creek Fault. Combining these data with right slip caused by the 34 deg +-6 deg of clockwise local block rotation suggests that post-Saugus Formation (<2.6 to 0.78 Ma) right separation along the fault zone is 4+-2 km. \r\n\r\nThe fossils, lithology, and age of the Gold Canyon beds correlate with the basal Pico Formation. The beds presumably connected southward or southwestward to a more open marine setting. A search for correlative strata to the south and southwest found that some strata previously mapped as Towsley Formation correlate with the Modelo Formation. Oyster spat in some Modelo Formation beds are the first recorded fossil occurrences and are especially remarkable because of associations with Miocene bathyal benthic foraminifers, planktonic calcareous nannofossils, and diatoms. Topanga Group basalt resting on basement rocks between Little and Big Tujunga Canyons gives an age of 16.14+-0.05 Ma from 40Ar/39Ar analysis. Improved understanding of the upper Miocene stratigraphy indicates large early movement on the eastern Santa Susana Fault at about 7-6 Ma.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1759","isbn":"9781411323308","usgsCitation":"Beyer, L.A., McCulloh, T.H., Denison, R.E., Morin, R.W., Enrico, R.J., Barron, J.A., and Fleck, R.J., 2009, Post-Miocene Right Separation on the San Gabriel and Vasquez Creek Faults, with Supporting Chronostratigraphy, Western San Gabriel Mountains, California (Version 1.0): U.S. Geological Survey Professional Paper 1759, iv, 44 p., https://doi.org/10.3133/pp1759.","productDescription":"iv, 44 p.","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":196336,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1759.jpg"},{"id":12409,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1759/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119,34 ], [ -119,35 ], [ -117.5,35 ], [ -117.5,34 ], [ -119,34 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683afc","contributors":{"authors":[{"text":"Beyer, Larry A. lbeyer@usgs.gov","contributorId":2819,"corporation":false,"usgs":true,"family":"Beyer","given":"Larry","email":"lbeyer@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":301790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCulloh, Thane H.","contributorId":100450,"corporation":false,"usgs":true,"family":"McCulloh","given":"Thane","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":301793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denison, Rodger E.","contributorId":42994,"corporation":false,"usgs":true,"family":"Denison","given":"Rodger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":301791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morin, Ronald W.","contributorId":106182,"corporation":false,"usgs":true,"family":"Morin","given":"Ronald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":301794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enrico, Roy J.","contributorId":53913,"corporation":false,"usgs":true,"family":"Enrico","given":"Roy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":301792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":301789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":301788,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":97349,"text":"ds434 - 2009 - RESIS-II: An Updated Version of the Original Reservoir Sedimentation Survey Information System (RESIS) Database","interactions":[],"lastModifiedDate":"2012-02-02T00:15:10","indexId":"ds434","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"434","title":"RESIS-II: An Updated Version of the Original Reservoir Sedimentation Survey Information System (RESIS) Database","docAbstract":"The Reservoir Sedimentation Survey Information System (RESIS) database, originally compiled by the Soil Conservation Service (now the Natural Resources Conservation Service) in collaboration with the Texas Agricultural Experiment Station, is the most comprehensive compilation of data from reservoir sedimentation surveys throughout the conterminous United States (U.S.). The database is a cumulative historical archive that includes data from as early as 1755 and as late as 1993. The 1,823 reservoirs included in the database range in size from farm ponds to the largest U.S. reservoirs (such as Lake Mead). Results from 6,617 bathymetric surveys are available in the database. \r\n\r\nThis Data Series provides an improved version of the original RESIS database, termed RESIS-II, and a report describing RESIS-II. The RESIS-II relational database is stored in Microsoft Access and includes more precise location coordinates for most of the reservoirs than the original database but excludes information on reservoir ownership. RESIS-II is anticipated to be a template for further improvements in the database.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds434","usgsCitation":"Ackerman, K.V., Mixon, D.M., Sundquist, E.T., Stallard, R.F., Schwarz, G., and Stewart, D.W., 2009, RESIS-II: An Updated Version of the Original Reservoir Sedimentation Survey Information System (RESIS) Database (Version 1.0): U.S. Geological Survey Data Series 434, Report: iv, 22 p.; Database (mdb), https://doi.org/10.3133/ds434.","productDescription":"Report: iv, 22 p.; Database (mdb)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/ds434/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db649edd","contributors":{"authors":[{"text":"Ackerman, Katherine V.","contributorId":22061,"corporation":false,"usgs":true,"family":"Ackerman","given":"Katherine","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":301786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mixon, David M.","contributorId":62704,"corporation":false,"usgs":true,"family":"Mixon","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":301787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sundquist, Eric T. 0000-0002-1449-8802 esundqui@usgs.gov","orcid":"https://orcid.org/0000-0002-1449-8802","contributorId":1922,"corporation":false,"usgs":true,"family":"Sundquist","given":"Eric","email":"esundqui@usgs.gov","middleInitial":"T.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":301783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":301784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":301782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, David W. dwstewar@usgs.gov","contributorId":2390,"corporation":false,"usgs":true,"family":"Stewart","given":"David","email":"dwstewar@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":301785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97353,"text":"cir1196Z - 2009 - Nickel recycling in the United States in 2004","interactions":[],"lastModifiedDate":"2012-11-29T09:46:32","indexId":"cir1196Z","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1196","chapter":"Z","title":"Nickel recycling in the United States in 2004","docAbstract":"As one of a series of reports that describe the recycling of metal commodities in the United States, this report discusses the flow of nickel from production through distribution and use, with particular emphasis on the recycling of industrial scrap (new scrap) and used products (old scrap) in 2004. This materials flow study includes a description of nickel supply and demand for the United States to illustrate the extent of nickel recycling and to identify recycling trends. Understanding how materials flow from a source through disposition can aid in improving the management of natural resource delivery systems. In 2004, the old scrap recycling efficiency for nickel was estimated to be 56.2 percent. In 2004, nickel scrap consumption in the United States was as follows: new scrap containing 13,000 metric tons (t) of nickel (produced during the manufacture of products), 12 percent; and old scrap containing 95,000 t of nickel (articles discarded after serving a useful purpose), 88 percent. The recycling rate for nickel in 2004 was 40.9 percent, and the percentage of nickel in products attributed to nickel recovered from nickel-containing scrap was 51.6 percent. Furthermore, U.S. nickel scrap theoretically generated in 2004 had the following distribution: scrap to landfills, 24 percent; recovered and used scrap, 50 percent; and unaccounted for scrap, 26 percent. Of the 50 percent of old scrap generated in the United States that was recovered and then used in 2004, about one-third was exported and two-thirds was consumed in the domestic production of nickel-containing products.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1196Z","collaboration":"Chapter Z in Flow studies for recycling metal commodities in the United States; Sibley, Scott F., ed.","usgsCitation":"Goonan, T.G., 2009, Nickel recycling in the United States in 2004: U.S. Geological Survey Circular 1196, vi, 30 p., https://doi.org/10.3133/cir1196Z.","productDescription":"vi, 30 p.","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":197941,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1196_Z.gif"},{"id":12412,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/circ1196-Z/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6974d9","contributors":{"authors":[{"text":"Goonan, Thomas G. goonan@usgs.gov","contributorId":2761,"corporation":false,"usgs":true,"family":"Goonan","given":"Thomas","email":"goonan@usgs.gov","middleInitial":"G.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":301802,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97351,"text":"b2209N - 2009 - Mineral Resource Assessment of Marine Sand Resources in Cape- and Ridge-Associated Marine Sand Deposits in Three Tracts, New York and New Jersey, United States Atlantic Continental Shelf","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"b2209N","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2209","chapter":"N","title":"Mineral Resource Assessment of Marine Sand Resources in Cape- and Ridge-Associated Marine Sand Deposits in Three Tracts, New York and New Jersey, United States Atlantic Continental Shelf","docAbstract":"Demand is growing in the United States and worldwide for information about the geology of offshore continental shelf regions, the character of the seafloor, and sediments comprising the seafloor and subbottom. Interest in locating sand bodies or high quality deposits that have potential as sources for beach nourishment and ecosystem restoration is especially great in some regions of the country. The Atlantic coast, particularly New York and New Jersey, has been the focus of these studies for the past 40 years with widely varying results. This study is the first attempt at applying probability statistics to modeling Holocene-age cape-and ridge-associated sand deposits and thus focuses on distinct sand body morphology. This modeling technique may have application for other continental shelf regions that have similar geologic character and late Quaternary sea-level transgression history. \r\n\r\nAn estimated volume of 3.9 billion m3 of marine sand resources is predicted in the cape-and ridge-associated marine sand deposits in three representative regions or tracts on the continental shelf offshore of New York and New Jersey. These estimates are taken from probabilistic distributions of sand resources and are produced using deposit models and Monte Carlo Simulation (MCS) techniques. The estimated sand resources presented here are for only three tracts as described below and for Holocene age sand resources contained in cape-and ridge-associated marine sand deposit types within this area. Other areas may qualify as tracts for this deposit type and other deposit types and geologic ages (for example, paleo-stream channels, blanket and outwash deposits, ebb-tide shoals, and lower sea level-stand deltas), which are present on the New Jersey and New York continental shelf area but are not delineated and modeled in this initial evaluation. \r\n\r\nAdmittedly, only a portion of these probable sand resources will ultimately be available and suitable for production, dependent largely on geographic, economic, preemptive use, environmental, geologic and political factors. In addition, offshore sand resources should only be considered if the area is seaward of the active zone of significant nearshore sediment transport, about 10 to 12 m in depth, and in sufficiently shallow water so that sand can be extracted within U.S. dredging equipment limits, currently about 40 m in depth. If the material is to be used for beach nourishment, material must be of an appropriate sediment texture and character (grain size, sorting, shape, and color) to match the native beach and have mineralogical properties important to its use. Extraction of sand can disturb or alter the benthic habitat and seafloor ecology, so these factors and other site-specific effects will need to be evaluated for any intended use. These and other factors are not considered in this report but can be expected to reduce the total net volume of sand resources available for production. The purpose of this report is to describe and present results from a probabilistic mineral modeling technique previously applied to onshore mineral resources. This modeling and assessment procedure is being used for the first time to assess and estimate offshore aggregate resources; this study is part of the U.S. Geological Survey (USGS) Marine Aggregates Resources and Processes Project (http://woodshole.er.usgs.gov/project-pages/aggregates/). ","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Contributions to Industrial-Minerals Research","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/b2209N","usgsCitation":"Bliss, J.D., Williams, S.J., and Arsenault, M.A., 2009, Mineral Resource Assessment of Marine Sand Resources in Cape- and Ridge-Associated Marine Sand Deposits in Three Tracts, New York and New Jersey, United States Atlantic Continental Shelf (Version 1.0): U.S. Geological Survey Bulletin 2209, iii, 6 p., https://doi.org/10.3133/b2209N.","productDescription":"iii, 6 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":196373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12410,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/b2209-n/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5,38 ], [ -75.5,41 ], [ -72,41 ], [ -72,38 ], [ -75.5,38 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635796","contributors":{"authors":[{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":301796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, S. Jeffress 0000-0002-1326-7420 jwilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-1326-7420","contributorId":2063,"corporation":false,"usgs":true,"family":"Williams","given":"S.","email":"jwilliams@usgs.gov","middleInitial":"Jeffress","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":301795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arsenault, Matthew A.","contributorId":22872,"corporation":false,"usgs":true,"family":"Arsenault","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97374,"text":"ofr20091039 - 2009 - Photomosaics and logs of trenches on the San Andreas Fault near Coachella, California","interactions":[],"lastModifiedDate":"2022-08-22T20:05:33.794724","indexId":"ofr20091039","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-1039","title":"Photomosaics and logs of trenches on the San Andreas Fault near Coachella, California","docAbstract":"<p>The Coachella paleoseismic site is located on the San Andreas Fault along the northeast edge of the Coachella Valley in southern California east of Dillon Road and south of Avenue 44. Three benched trenches, a total of more than 950 m, were excavated across the fault zone as part of an Alquist-Priolo fault investigation study. These trenches exposed a thick section of latest Holocene lacustrine, fluvial, and shoreline deposits. Only the central and eastern trenches exposed faulting so we confined our investigations to those two trenches.</p><p>In the central trench, we photographed and logged in detail both walls of about 70 m of the trench where it spanned several zones of complex faulting which form a 15-m-wide depression. After carefully cleaning the trench walls, we put up a 1- by 0.5-m string- and nail-grid. We photographed each 1- by 0.5-m panel individually and then photologged features directly on these unrectified photos. The photos were digitally rectified later to remove distortion caused by irregularities in the trench walls and to correct the slight distortion introduced by the camera lens. The rectified photos were spliced together to make photomosaics of the trench walls. Most of the field linework and descriptions were then transferred to the rectified photomosaics.</p><p>For the eastern trench, we took a set of overview photographs of the full length (about 200 m) of each wall. These photographs were taken from the top of the trench towards the opposite wall. Because the photographs were taken at a downward angle, there is significant distortion. We logged directly on these photos in the field, recording significant contacts, primarily between lacustrine and subaerial deposits, along with descriptions. For this report, we spliced together these unrectified overview photos and transfered field linework and some descriptions.</p><p>For both trenches, contacts and lithologhic descriptions of stratigraphic units, faults and carbon sample locations are indicated on the photomosaics. Lacustrine deposits are tinted to better show deformation across the fault zones. Evidence for six paleoearthquakes rated as “probable” is indicated with red stars that contain the sequential event number (1 is most recent event). Evidence for two additional “possible” paleoearthquakes is indicated with blue stars. The sedimentary deposits contain abundant dateable material which includes detrital charcoal, lenses of organic material formed in-situ, and shells. Two organic fractions, humic acids and acid-alkali-acid-pretreated (AAA), were dated for 13 of 15 samples taken from organic layers and both dates are shown for these samples on the photomosaics and tables 1 and 2. All radiocarbon dates are in<span>&nbsp;</span><sup>14</sup>C years B.P. (considered to be A.D. 1950). Horizontal distance is measured along the trenches from the southwest ends of the logged exposures (marked as 0 m), and depth is measured from the highest points on the ground surface within the logged exposures. Bench locations are indicated by white lines and gaps in the photomosaics. Note that faults and contacts that are somewhat oblique to the trench walls occasionally appear disconnected owing to the approximately 1 m width of the benches.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091039","usgsCitation":"Philibosian, B., Fumal, T.E., Weldon, R.J., Kendrick, K.J., Scharer, K.M., Bemis, S.P., Burgette, R.J., and Wisely, B.A., 2009, Photomosaics and logs of trenches on the San Andreas Fault near Coachella, California (Version 1.0): U.S. Geological Survey Open-File Report 2009-1039, 2 Sheets: 96.00 × 40.00 inches and 84.00 × 36.00 inches, https://doi.org/10.3133/ofr20091039.","productDescription":"2 Sheets: 96.00 × 40.00 inches and 84.00 × 36.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195877,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":405403,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86446.htm","linkFileType":{"id":5,"text":"html"}},{"id":12433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1039/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Coachella","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.17801666259764,\n              33.72034189899486\n            ],\n            [\n              -116.16703033447267,\n              33.72034189899486\n            ],\n            [\n              -116.16703033447267,\n              33.72576738903661\n            ],\n            [\n              -116.17801666259764,\n              33.72576738903661\n            ],\n            [\n              -116.17801666259764,\n              33.72034189899486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db6860f3","contributors":{"authors":[{"text":"Philibosian, Belle","contributorId":57179,"corporation":false,"usgs":true,"family":"Philibosian","given":"Belle","affiliations":[],"preferred":false,"id":301894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fumal, Thomas E.","contributorId":67882,"corporation":false,"usgs":true,"family":"Fumal","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":301895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weldon, Ray J. II","contributorId":47859,"corporation":false,"usgs":true,"family":"Weldon","given":"Ray","suffix":"II","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":301893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendrick, Katherine J. 0000-0002-9839-6861 kendrick@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-6861","contributorId":2716,"corporation":false,"usgs":true,"family":"Kendrick","given":"Katherine","email":"kendrick@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":301888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":301889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bemis, Sean P.","contributorId":30709,"corporation":false,"usgs":true,"family":"Bemis","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":301890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burgette, Reed J.","contributorId":34221,"corporation":false,"usgs":true,"family":"Burgette","given":"Reed","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":301891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wisely, Beth A.","contributorId":41532,"corporation":false,"usgs":true,"family":"Wisely","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301892,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":97368,"text":"ofr20091035 - 2009 - Development of a probabilistic assessment methodology for evaluation of carbon dioxide storage","interactions":[],"lastModifiedDate":"2019-08-20T08:25:16","indexId":"ofr20091035","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-1035","title":"Development of a probabilistic assessment methodology for evaluation of carbon dioxide storage","docAbstract":"<p>This report describes a probabilistic assessment methodology developed by the U.S. Geological Survey (USGS) for evaluation of the resource potential for storage of carbon dioxide (CO<sub>2</sub>) in the subsurface of the United States as authorized by the Energy Independence and Security Act (Public Law 110-140, 2007). The methodology is based on USGS assessment methodologies for oil and gas resources created and refined over the last 30 years. The resource that is evaluated is the volume of pore space in the subsurface in the depth range of 3,000 to 13,000 feet that can be described within a geologically defined storage assessment unit consisting of a storage formation and an enclosing seal formation. Storage assessment units are divided into physical traps (PTs), which in most cases are oil and gas reservoirs, and the surrounding saline formation (SF), which encompasses the remainder of the storage formation. The storage resource is determined separately for these two types of storage. Monte Carlo simulation methods are used to calculate a distribution of the potential storage size for individual PTs and the SF. To estimate the aggregate storage resource of all PTs, a second Monte Carlo simulation step is used to sample the size and number of PTs. The probability of successful storage for individual PTs or the entire SF, defined in this methodology by the likelihood that the amount of CO<sub>2</sub> stored will be greater than a prescribed minimum, is based on an estimate of the probability of containment using present-day geologic knowledge. The report concludes with a brief discussion of needed research data that could be used to refine assessment methodologies for CO<sub>2</sub> sequestration.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091035","usgsCitation":"Burruss, R.A., Brennan, S.T., Freeman, P., Merrill, M., Ruppert, L.F., Becker, M.F., Herkelrath, W.N., Kharaka, Y.K., Neuzil, C.E., Swanson, S.M., Cook, T.A., Klett, T., Nelson, P.H., and Schenk, C.J., 2009, Development of a probabilistic assessment methodology for evaluation of carbon dioxide storage: U.S. Geological Survey Open-File Report 2009-1035, viii, 81 p., https://doi.org/10.3133/ofr20091035.","productDescription":"viii, 81 p.","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196381,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12427,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1035/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697530","contributors":{"authors":[{"text":"Burruss, Robert A. 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":558,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":301861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan, Sean T. 0000-0002-7102-9359 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":559,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":301871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":48256,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[],"preferred":false,"id":301873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Becker, Mark F.","contributorId":40180,"corporation":false,"usgs":true,"family":"Becker","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":301872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herkelrath, William N. 0000-0002-6149-5524 wnherkel@usgs.gov","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":2612,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","email":"wnherkel@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":301870,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":301868,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":301869,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Swanson, Sharon M. 0000-0002-4235-1736 smswanson@usgs.gov","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":590,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","email":"smswanson@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301863,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301874,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":301865,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301867,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":301866,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":97367,"text":"sir20095019 - 2009 - Water-Level Changes in the High Plains Aquifer, Predevelopment to 2007, 2005-06, and 2006-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095019","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5019","title":"Water-Level Changes in the High Plains Aquifer, Predevelopment to 2007, 2005-06, and 2006-07","docAbstract":"The High Plains aquifer underlies 111.6 million acres (174,000 square miles) in parts of eight States - Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines began in parts of the High Plains aquifer soon after the beginning of substantial irrigation with ground water in the aquifer area. This report presents water-level changes in the High Plains aquifer from the time before substantial ground-water irrigation development had occurred (about 1950 and termed 'predevelopment' in this report) to 2007, from 2005-06, and from 2006-07. The report also presents the percentage change in saturated thickness of the aquifer, from predevelopment to 2007.\r\n\r\nMeasured water-level changes from predevelopment to 2007 ranged from a rise of 84 feet in Nebraska to a decline of 234 feet in Texas. The area-weighted, average water-level changes in the aquifer were a decline of 14.0 feet from predevelopment to 2007, a decline of 0.4 foot during 2005-06, and a decline of 0.6 foot during 2006-07. Total water in storage in the aquifer in 2007 was about 2.9 billion acre-feet, which was a decline of about 270 million acre-feet since predevelopment.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095019","usgsCitation":"McGuire, V., 2009, Water-Level Changes in the High Plains Aquifer, Predevelopment to 2007, 2005-06, and 2006-07: U.S. Geological Survey Scientific Investigations Report 2009-5019, iv, 10 p., https://doi.org/10.3133/sir20095019.","productDescription":"iv, 10 p.","onlineOnly":"Y","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":121086,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5019.jpg"},{"id":12426,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5019/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,31.5 ], [ -106,44 ], [ -96,44 ], [ -96,31.5 ], [ -106,31.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6986bc","contributors":{"authors":[{"text":"McGuire, V. L. 0000-0002-3962-4158","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":94702,"corporation":false,"usgs":true,"family":"McGuire","given":"V. L.","affiliations":[],"preferred":false,"id":301860,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97366,"text":"sir20095015 - 2009 - Estimating Locations of Perennial Streams in Idaho Using a Generalized Least-Squares Regression Model of 7-Day, 2-Year Low Flows","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20095015","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5015","title":"Estimating Locations of Perennial Streams in Idaho Using a Generalized Least-Squares Regression Model of 7-Day, 2-Year Low Flows","docAbstract":"Many State and Federal agencies use information regarding the locations of streams having intermittent or perennial flow when making management and regulatory decisions. For example, the application of some Idaho water quality standards depends on whether streams are intermittent. Idaho Administrative Code defines an intermittent stream as one having a 7-day, 2-year low flow (7Q2) less than 0.1 ft3/s. However, there is a general recognition that the cartographic representation of perennial/intermittent status of streams on U.S. Geological Survey (USGS) topographic maps is not as accurate or consistent as desirable from one map to another, which makes broad management and regulatory assessments difficult and inconsistent. To help resolve this problem, the USGS has developed a methodology for predicting the locations of perennial streams based on regional generalized least-squares (GLS) regression equations for Idaho streams for the 7Q2 low-flow statistic. Using these regression equations, the 7Q2 streamflow may be estimated for naturally flowing streams in most areas in Idaho. The use of these equations in conjunction with a geographic information system (GIS) technique known as weighted flow accumulation allows for an automated and continuous estimation of 7Q2 streamflow at all points along stream reaches. The USGS has developed a GIS-based map of the locations of streams in Idaho with perennial flow based on a 7Q2 of 0.1 ft3/s and a transition zone of plus or minus 1 standard error. Idaho State cooperators plan to use this information to make regulatory and water-quality management decisions.\r\n\r\nOriginally, 7Q2 equations were developed for eight regions of similar hydrologic characteristics in the study area, using long-term data from 234 streamflow-gaging stations. Equations in five of the regions were revised based on spatial patterns observed in the initial perennial streams map and unrealistic behavior of the equations in extrapolation. The standard errors of prediction for the final equations ranged from a minimum of +75.0 to -42.9 percent in the central part of the study area to a maximum of +277 to -73.5 percent in the southern part of the study area. The equations are applicable only to unregulated, naturally-flowing streams and may produce unreliable results outside the range of explanatory variables used for equation development. Extrapolation outside the range of available data was necessary, however, to predict perennial flow initiation points and transition zones along stream reaches.\r\n\r\nThe map of perennial streams was evaluated by comparing predicted stream classifications with four independent datasets, including field observations by other government agencies. Overall, 81 percent of the comparison data points agreed with the USGS perennial streams model. Regions with the highest number of disagreements had a high percentage of mountainous and forested area with potential mountain front recharge zones, and regions with the highest agreements had a high percentage of low gradient, low elevation area. As a whole, the USGS model predicted a higher number of perennial streams than predictions made with the independent datasets. Some disagreements were due to poor site location coordinates, timing of the comparison site visits during unusually wet or dry years, discrepancies in classification criteria, and variable ground water contributions to flow in some areas.\r\n\r\nThe Idaho Department of Environmental Quality Beneficial Use Reconnaissance Program (BURP) dataset is considered the most representative dataset for comparison because it covered a range of climate conditions and the number of sites visited were consistent from year to year during the study period. Eighty-five percent of BURP comparison data points agreed with the USGS perennial streams model. Although site-specific flow data may be needed to correctly classify streams in some areas, this information rarely is available and is not always practical to o","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095015","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality and the Bureau of Reclamation","usgsCitation":"Wood, M.S., Rea, A., Skinner, K.D., and Hortness, J., 2009, Estimating Locations of Perennial Streams in Idaho Using a Generalized Least-Squares Regression Model of 7-Day, 2-Year Low Flows: U.S. Geological Survey Scientific Investigations Report 2009-5015, vi, 27 p., https://doi.org/10.3133/sir20095015.","productDescription":"vi, 27 p.","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":195400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12425,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5015/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,40.5 ], [ -120,49 ], [ -108,49 ], [ -108,40.5 ], [ -120,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc9e2","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":301856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rea, Alan","contributorId":41018,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","affiliations":[],"preferred":false,"id":301859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hortness, Jon 0000-0002-9809-2876 hortness@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-2876","contributorId":3601,"corporation":false,"usgs":true,"family":"Hortness","given":"Jon","email":"hortness@usgs.gov","affiliations":[],"preferred":true,"id":301858,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97373,"text":"sir20095067 - 2009 - Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"sir20095067","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5067","title":"Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03","docAbstract":"In 2002-03, the U.S. Geological Survey collected samples of streambed sediment at 18 sites in the lower Chena River watershed for analysis of selected nutrients, traces elements, and organic compounds. The purpose of the project was to provide Federal, State, and local agencies as well as neighborhood committees, with information for consideration in plans to improve environmental conditions in the watershed. The exploratory sampling program included analysis of streambed sediment from the Chena River and Chena Slough, a tributary to the Chena River. Results were compared to streambed-sediment guidelines for the protection of aquatic life and to 2001-02 sediment data from Noyes Slough, a side channel of the lower Chena River.\r\n\r\nThe median total phosphorus concentration in Chena Slough sediment samples, 680 milligrams per kilogram (mg/kg), was two orders of magnitude greater than median total phosphorus concentration in Chena River sediment samples of 5.2 mg/kg. Median concentrations of chloride and sulfate also were greater in Chena Slough samples. Low concentrations of nitrate were detected in most of the Chena Slough samples; nitrate concentrations were below method reporting limits or not detected in Chena River sediment samples.\r\n\r\nStreambed-sediment samples were analyzed for 24 trace elements. Arsenic, nickel, and zinc were the only trace elements detected in concentrations that exceeded probable-effect levels for the protection of aquatic life. Concentrations of arsenic in Chena Slough samples ranged from 11 to 70 mg/kg and concentrations in most of the samples exceeded the probable-effect guideline for arsenic of 17 mg/kg. Arsenic concentrations in samples from the Chena River ranged from 9 to 12 mg/kg. The background level for arsenic in the lower Chena River watershed is naturally elevated because of significant concentrations of arsenic in local bedrock and ground water. Sources of elevated concentrations of zinc in one sample, and of nickel in two samples, are unknown. With the exception of elevated arsenic levels in samples from Chena Slough, the occurrence and concentration of trace elements in the streambed sediments of Chena Slough and Chena River were similar to those in Noyes Slough sediment.\r\n\r\nSediment samples were analyzed for 78 semivolatile organic compounds and 32 organochlorine pesticides and polychlorinated biphenyls (PCBs). Low concentrations of dimethylnaphthalene and p-Cresol were detected in most Chena Slough and Chena River sediment samples. The number of semivolatile organic compounds detected ranged from 5 to 21 in most Chena Slough sediment samples. In contrast, three or fewer semivolatile organic compounds were detected in Chena River sediment samples, most likely because chemical-matrix interference resulted in elevated reporting limits for organochlorine compounds in the Chena River samples. Low concentrations of fluoranthene, pyrene, and phenanthrene were detected in Chena Slough sediment. Relatively low concentrations of DDT or its degradation products, DDD and DDE, were detected in all Chena Slough samples. Concentrations of total DDT (DDT+DDD+DDE) in two Chena Slough sediment samples exceeded the effectsrange median aquatic-life criteria of 46.1 micrograms per kilogram (ug/kg). DDT concentrations in Chena River streambed-sediment samples were less than 20 ug/kg. Low concentrations of PCB were detected in two Chena Slough streambed-sediment samples. None of the concentrations of the polychlorinated biphenyls or semivolatile organic compounds for which the samples were analyzed exceeded available guidelines for the protection of aquatic life. With the exception of elevated total DDT in two Chena Slough samples, the occurrence and concentration of organochlorine compounds in Chena Slough and Chena River sediment were similar to those in samples collected from Noyes Slough in 2001-02.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095067","collaboration":"Prepared in cooperation with the Fairbanks Soil and Water Conservation District","usgsCitation":"Kennedy, B., and Hall, C.C., 2009, Occurrence of Selected Nutrients, Trace Elements, and Organic Compounds in Streambed Sediment in the Lower Chena River Watershed near Fairbanks, Alaska, 2002-03: U.S. Geological Survey Scientific Investigations Report 2009-5067, vi, 29 p., https://doi.org/10.3133/sir20095067.","productDescription":"vi, 29 p.","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":195737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12432,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5067/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.66666666666666,64.5 ], [ -147.66666666666666,65 ], [ -147,65 ], [ -147,64.5 ], [ -147.66666666666666,64.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b066","contributors":{"authors":[{"text":"Kennedy, Ben W.","contributorId":104519,"corporation":false,"usgs":true,"family":"Kennedy","given":"Ben W.","affiliations":[],"preferred":false,"id":301887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Cassidee C.","contributorId":66372,"corporation":false,"usgs":true,"family":"Hall","given":"Cassidee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":301886,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97372,"text":"fs20093006 - 2009 - Pesticides in Ground Water of Wyoming, 1995-2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"fs20093006","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-3006","title":"Pesticides in Ground Water of Wyoming, 1995-2006","docAbstract":"In 1991, members of local, State, and Federal governments, as well as industry and interest groups, formed the Ground-water and Pesticides Strategy Committee (GPSC) to prepare the State of Wyoming Generic Management Plan for Pesticides in Ground Water. Little existing information was available describing pesticide occurrence in ground water; therefore, statewide baseline ground-water sampling was considered a high priority by the GPSC.\r\n\r\nThe GPSC identified 20 pesticides and degradates for baseline ground-water sampling (referred to herein as focal pesticides). Sampling focused on the State's most vulnerable ground water (Wyoming Ground-water and Pesticides Strategy Committee, 1999) as determined by Hamerlinck and Arneson (1998; fig. 1). Ground-water vulnerability is based on inherent sensitivity of the hydrogeology (such as a shallow water table or highly permeable aquifer materials) and overlying land use.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093006","collaboration":"Prepared in cooperation with the Wyoming Department of Agriculture and the Wyoming Department of Environmental Quality, on behalf of the Wyoming Ground-water and Pesticides Strategy Committee","usgsCitation":"Eddy-Miller, C., Bartos, T.T., and Hallberg, L.L., 2009, Pesticides in Ground Water of Wyoming, 1995-2006: U.S. Geological Survey Fact Sheet 2009-3006, 4 p., https://doi.org/10.3133/fs20093006.","productDescription":"4 p.","temporalStart":"1995-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":122572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3006.jpg"},{"id":12431,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3006/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,45 ], [ -104,45 ], [ -104,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6986db","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":301885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":301884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallberg, Laura L. 0000-0001-9983-8003 lhallber@usgs.gov","orcid":"https://orcid.org/0000-0001-9983-8003","contributorId":1825,"corporation":false,"usgs":true,"family":"Hallberg","given":"Laura","email":"lhallber@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301883,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97371,"text":"sir20095009 - 2009 - Estimation of Streamflow Characteristics for Charles M. Russell National Wildlife Refuge, Northeastern Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20095009","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2009","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":"2009-5009","title":"Estimation of Streamflow Characteristics for Charles M. Russell National Wildlife Refuge, Northeastern Montana","docAbstract":"Charles M. Russell National Wildlife Refuge (CMR) encompasses about 1.1 million acres (including Fort Peck Reservoir on the Missouri River) in northeastern Montana. To ensure that sufficient streamflow remains in the tributary streams to maintain the riparian corridors, the U.S. Fish and Wildlife Service is negotiating water-rights issues with the Reserved Water Rights Compact Commission of Montana. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, conducted a study to gage, for a short period, selected streams that cross CMR, and analyze data to estimate long-term streamflow characteristics for CMR. The long-term streamflow characteristics of primary interest include the monthly and annual 90-, 80-, 50-, and 20-percent exceedance streamflows and mean streamflows (Q.90, Q.80, Q.50, Q.20, and QM, respectively), and the 1.5-, 2-, and 2.33- year peak flows (PK1.5, PK2, and PK2.33, respectively).\r\n\r\nThe Regional Adjustment Relationship (RAR) was investigated for estimating the monthly and annual Q.90, Q.80, Q.50, Q.20, and QM, and the PK1.5, PK2, and PK2.33 for the short-term CMR gaging stations (hereinafter referred to as CMR stations). The RAR was determined to provide acceptable results for estimating the long-term Q.90, Q.80, Q.50, Q.20, and QM on a monthly basis for the months of March through June, and also on an annual basis. For the months of September through January, the RAR regression equations did not provide acceptable results for any long-term streamflow characteristic. For the month of February, the RAR regression equations provided acceptable results for the long-term Q.50 and QM, but poor results for the long-term Q.90, Q.80, and Q.20. For the months of July and August, the RAR provided acceptable results for the long-term Q.50, Q.20, and QM, but poor results for the long-term Q.90 and Q.80. Estimation coefficients were developed for estimating the long-term streamflow characteristics for which the RAR did not provide acceptable results. The RAR also was determined to provide acceptable results for estimating the PK1.5., PK2, and PK2.33 for the three CMR stations that lacked suitable peak-flow records.\r\n\r\nMethods for estimating streamflow characteristics at ungaged sites also were derived. Regression analyses that relate individual streamflow characteristics to various basin and climatic characteristics for gaging stations were performed to develop regression equations to estimate streamflow characteristics at ungaged sites. Final equations for the annual Q.50, Q.20, and QM are reported. Acceptable equations also were developed for estimating QM for the months of February, March, April, June, and July, and Q.50, Q.20, and QM on an annual basis. However, equations for QM for the months of February, March, April, June, and July were determined to be less consistent and reliable than the use of estimation coefficients applied to the regression equation results for the annual QM. Acceptable regression equations also were developed for the PK1.5, PK2, and PK2.33.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095009","isbn":"9781411323520","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Sando, S.K., Morgan, T.J., Dutton, D., and McCarthy, P., 2009, Estimation of Streamflow Characteristics for Charles M. Russell National Wildlife Refuge, Northeastern Montana: U.S. Geological Survey Scientific Investigations Report 2009-5009, vi, 60 p., https://doi.org/10.3133/sir20095009.","productDescription":"vi, 60 p.","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":195034,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12430,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5009/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,46 ], [ -111,49 ], [ -104,49 ], [ -104,46 ], [ -111,46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fbba8","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Timothy J. tmorgan@usgs.gov","contributorId":2505,"corporation":false,"usgs":true,"family":"Morgan","given":"Timothy","email":"tmorgan@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":301881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutton, DeAnn M. ddutton@usgs.gov","contributorId":20762,"corporation":false,"usgs":true,"family":"Dutton","given":"DeAnn M.","email":"ddutton@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarthy, Peter 0000-0002-2396-7463 pmccarth@usgs.gov","orcid":"https://orcid.org/0000-0002-2396-7463","contributorId":2504,"corporation":false,"usgs":true,"family":"McCarthy","given":"Peter","email":"pmccarth@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301880,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}