{"pageNumber":"643","pageRowStart":"16050","pageSize":"25","recordCount":46883,"records":[{"id":70037814,"text":"70037814 - 2012 - Nonlinear effects of group size on the success of wolves hunting elk","interactions":[],"lastModifiedDate":"2020-12-29T17:23:18.89978","indexId":"70037814","displayToPublicDate":"2012-03-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear effects of group size on the success of wolves hunting elk","docAbstract":"

Despite the popular view that social predators live in groups because group hunting facilitates prey capture, the apparent tendency for hunting success to peak at small group sizes suggests that the formation of large groups is unrelated to prey capture. Few empirical studies, however, have tested for nonlinear relationships between hunting success and group size, and none have demonstrated why success trails off after peaking. Here, we use a unique dataset of observations of individually known wolves (Canis lupus) hunting elk (Cervus elaphus) in Yellowstone National Park to show that the relationship between success and group size is indeed nonlinear and that individuals withholding effort (free riding) is why success does not increase across large group sizes. Beyond 4 wolves, hunting success leveled off, and individual performance (a measure of effort) decreased for reasons unrelated to interference from inept hunters, individual age, or size. But performance did drop faster among wolves with an incentive to hold back, i.e., nonbreeders with no dependent offspring, those performing dangerous predatory tasks, i.e., grabbing and restraining prey, and those in groups of proficient hunters. These results suggest that decreasing performance was free riding and that was why success leveled off in groups with >4 wolves that had superficially appeared to be cooperating. This is the first direct evidence that nonlinear trends in group hunting success reflect a switch from cooperation to free riding. It also highlights how hunting success per se is unlikely to promote formation and maintenance of large groups.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/beheco/arr159","usgsCitation":"MacNulty, D.R., Smith, D.W., Mech, L.D., Vucetich, J., and Packer, C., 2012, Nonlinear effects of group size on the success of wolves hunting elk: Behavioral Ecology, v. 23, no. 1, p. 75-82, https://doi.org/10.1093/beheco/arr159.","productDescription":"8 p.","startPage":"75","endPage":"82","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/beheco/arr159","text":"Publisher Index Page"},{"id":381728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a6784e4b0c8380cd73385","contributors":{"authors":[{"text":"MacNulty, Daniel R.","contributorId":64069,"corporation":false,"usgs":true,"family":"MacNulty","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":462791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Douglas W.","contributorId":95727,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":462794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":462790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vucetich, John A.","contributorId":70735,"corporation":false,"usgs":true,"family":"Vucetich","given":"John A.","affiliations":[],"preferred":false,"id":462792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packer, Craig","contributorId":78592,"corporation":false,"usgs":true,"family":"Packer","given":"Craig","affiliations":[],"preferred":false,"id":462793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037847,"text":"ds673 - 2012 - EAARL coastal topography--Central Wetlands, Louisiana, 2010","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"ds673","displayToPublicDate":"2012-03-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"673","title":"EAARL coastal topography--Central Wetlands, Louisiana, 2010","docAbstract":"This DVD contains lidar-derived coastal topography GIS datasets of a portion of the Central Wetlands, Louisiana. These datasets were acquired on March 4 and 5, 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds673","collaboration":"In cooperatioin with Jacobs Technology Inc., Coastal and Marine Geology Program, Eastern Geographic Science Center","usgsCitation":"Nayegandhi, A., Fredericks, X., Bonisteel-Cormier, J., Wright, C.W., Brock, J.C., Nagle, D., Vivekanandan, S., and Barras, J., 2012, EAARL coastal topography--Central Wetlands, Louisiana, 2010: U.S. Geological Survey Data Series 673, HTML Document; DVD-ROM; Downloads Directory, https://doi.org/10.3133/ds673.","productDescription":"HTML Document; DVD-ROM; Downloads Directory","temporalStart":"2010-03-04","temporalEnd":"2010-03-05","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":246766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_673.jpg"},{"id":246763,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/673/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Central Wetlands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.01666666666667,29.85 ], [ -90.01666666666667,30.016666666666666 ], [ -89.75,30.016666666666666 ], [ -89.75,29.85 ], [ -90.01666666666667,29.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a044ce4b0c8380cd508b2","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":462873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":462871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":462870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. 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The study was performed in June 2011 using a man-operated boat-mounted multibeam echo sounder integrated with a global positioning system and a terrestrial real-time kinematic global positioning system. The two collected datasets were merged and imported into geographic information system software. A bathymetric map of the reservoir was generated in addition to plots for the stage-area and the stage-volume relations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3203","collaboration":"Prepared in cooperation with the Dolores Water Conservancy District","usgsCitation":"Kohn, M.S., 2012, Bathymetry of Totten Reservoir, Montezuma County, Colorado, 2011: U.S. Geological Survey Scientific Investigations Map 3203, 1 Sheet; Sheet 1: 37.4 inches x 24 inches, https://doi.org/10.3133/sim3203.","productDescription":"1 Sheet; Sheet 1: 37.4 inches x 24 inches","onlineOnly":"Y","temporalStart":"2011-06-01","temporalEnd":"2011-06-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":246777,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3203.png"},{"id":246771,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3203/","linkFileType":{"id":5,"text":"html"}}],"scale":"290","country":"United States","state":"Colorado","county":"Montezuma","city":"Cortez","otherGeospatial":"Totten Reservoir;Rocky Ford Ditch","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.53361111111111,37.350833333333334 ], [ -108.53361111111111,37.3675 ], [ -108.51694444444445,37.3675 ], [ -108.51694444444445,37.350833333333334 ], [ -108.53361111111111,37.350833333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f01ce4b0c8380cd4a5d3","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462887,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037844,"text":"fs20123027 - 2012 - An online database for IHN virus in Pacific Salmonid fish: MEAP-IHNV","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"fs20123027","displayToPublicDate":"2012-03-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3027","title":"An online database for IHN virus in Pacific Salmonid fish: MEAP-IHNV","docAbstract":"The MEAP-IHNV database provides access to detailed data for anyone interested in IHNV molecular epidemiology, such as fish health professionals, fish culture facility managers, and academic researchers. The flexible search capabilities enable the user to generate various output formats, including tables and maps, which should assist users in developing and testing hypotheses about how IHNV moves across landscapes and changes over time. The MEAP-IHNV database is available online at http://gis.nacse.org/ihnv/ (fig. 1). The database contains records that provide background information and genetic sequencing data for more than 1,000 individual field isolates of the fish virus Infectious hematopoietic necrosis virus (IHNV), and is updated approximately annually. It focuses on IHNV isolates collected throughout western North America from 1966 to the present. The database also includes a small number of IHNV isolates from Eastern Russia. By engaging the expertise of the broader community of colleagues interested in IHNV, our goal is to enhance the overall understanding of IHNV epidemiology, including defining sources of disease outbreaks and viral emergence events, identifying virus traffic patterns and potential reservoirs, and understanding how human management of salmonid fish culture affects disease. Ultimately, this knowledge can be used to develop new strategies to reduce the effect of IHN disease in cultured and wild fish.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123027","usgsCitation":"Kurath, G., 2012, An online database for IHN virus in Pacific Salmonid fish: MEAP-IHNV: U.S. Geological Survey Fact Sheet 2012-3027, 4 p., https://doi.org/10.3133/fs20123027.","productDescription":"4 p.","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":246761,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3027.jpg"},{"id":246759,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3027/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eaa1e4b0c8380cd489a5","contributors":{"authors":[{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":462868,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037846,"text":"ds676 - 2012 - Surface Mass Balance of the Columbia Glacier, Alaska, 1978 and 2010 Balance Years","interactions":[],"lastModifiedDate":"2018-07-07T18:00:47","indexId":"ds676","displayToPublicDate":"2012-03-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"676","title":"Surface Mass Balance of the Columbia Glacier, Alaska, 1978 and 2010 Balance Years","docAbstract":"Although Columbia Glacier is one of the largest sources of glacier mass loss in Alaska, surface mass balance measurements are sparse, with only a single data set available from 1978. The dearth of surface mass-balance data prohibits partitioning of the total mass losses between dynamics and surface forcing; however, the accurate inclusion of calving glaciers into predictive models requires both dynamic and climatic forcing of total mass balance. During 2010, the U.S. Geological Survey collected surface balance data at several locations distributed over the surface of Columbia Glacier to estimate the glacier-wide annual balance for balance year 2010 using the 2007 area-altitude distribution. This report also summarizes data collected in 1978, calculates the 1978 annual surface balance, and uses these observations to constrain the 2010 values, particularly the shape of the balance profile. Both years exhibit balances indicative of near-equilibrium surface mass-balance conditions, and demonstrate the importance of dynamic processes during the rapid retreat.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds676","usgsCitation":"O’Neel, S., 2012, Surface Mass Balance of the Columbia Glacier, Alaska, 1978 and 2010 Balance Years: U.S. Geological Survey Data Series 676, iv, 8 p., https://doi.org/10.3133/ds676.","productDescription":"iv, 8 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":246768,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_676.jpg"},{"id":246765,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/676/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Chugach Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.33333333333334,60.916666666666664 ], [ -147.33333333333334,61.5 ], [ -146.5,61.5 ], [ -146.5,60.916666666666664 ], [ -147.33333333333334,60.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9f87e4b08c986b31e651","contributors":{"authors":[{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":462869,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037852,"text":"ds674 - 2012 - EAARL coastal topography--North Shore, Lake Pontchartrain, Louisiana, 2010","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"ds674","displayToPublicDate":"2012-03-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"674","title":"EAARL coastal topography--North Shore, Lake Pontchartrain, Louisiana, 2010","docAbstract":"This DVD contains lidar-derived coastal topography GIS datasets of a portion of the north shore of Lake Pontchartrain, Louisiana. These datasets were acquired on February 28, March 1, and March 5, 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds674","collaboration":"In cooperations with Jacobs Technology Inc., Coastal and Marine Geology Program, Eastern Geographic Science Center","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Fredericks, X., Wright, C.W., Brock, J.C., Nagle, D., Vivekanandan, S., and Barras, J., 2012, EAARL coastal topography--North Shore, Lake Pontchartrain, Louisiana, 2010: U.S. Geological Survey Data Series 674, HTML Document; DVD-ROM; Downloads Directory, https://doi.org/10.3133/ds674.","productDescription":"HTML Document; DVD-ROM; Downloads Directory","temporalStart":"2010-02-28","temporalEnd":"2010-03-05","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":246767,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_674.jpg"},{"id":246764,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/674/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Pontchartrain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.16666666666667,30.2 ], [ -90.16666666666667,30.334166666666665 ], [ -89,30.334166666666665 ], [ -89,30.2 ], [ -90.16666666666667,30.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a044ce4b0c8380cd508b5","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":462878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":462881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":462879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":462884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":462880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":462882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":462885,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barras, J.A.","contributorId":44260,"corporation":false,"usgs":true,"family":"Barras","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":462883,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70037800,"text":"fs20123019 - 2012 - Science to support the understanding of south Texas surface-water and groundwater resources in a changing landscape","interactions":[],"lastModifiedDate":"2016-08-08T09:17:39","indexId":"fs20123019","displayToPublicDate":"2012-03-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3019","title":"Science to support the understanding of south Texas surface-water and groundwater resources in a changing landscape","docAbstract":"

Against a backdrop of constant cycles of extreme hydrologic conditions ranging from oppressive droughts to life-threatening floods, the water-resource landscape of south Texas is undergoing constant change. Demands on water resources are increasing because of changes related to population growth, energy demands, agricultural practices, and other human-related activities. In south Texas, the Nueces, San Antonio, and Guadalupe River Basins cover approximately 50,000 square miles and include all or part of 45 counties. These stream systems transect the faulted and fractured carbonate rocks of the Edwards aquifer recharge zone and provide the largest sources of recharge to the aquifer. As the streams make their way to the Gulf of Mexico, they provide water for communities and ecosystems in south Texas and deliver water, sediment, and nutrients to the south Texas bays and estuaries.

\n

The U.S. Geological Survey (USGS) works in cooperation with other local, State, and Federal agencies to provide timely access to water data, publications, and information to foster a better understanding of the water resources of south Texas. The USGS and our cooperators are involved in a wide variety of programs for collecting hydrologic data and scientific information in the changing landscape of south Texas to help our cooperators effectively address water-resource issues in this part of the State. This fact sheet provides an overview of our collaborative scientific endeavors in the basins of the Nueces, San Antonio, and Guadalupe Rivers and lower Rio Grande. An overview of USGS capabilities pertaining to water resource issues in Texas, including recently completed and ongoing studies in south Texas, is available at http://tx.usgs.gov/Capabilities/index.html.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123019","usgsCitation":"Ockerman, D.J., Garcia, T.J., and Opsahl, S.P., 2012, Science to support the understanding of south Texas surface-water and groundwater resources in a changing landscape: U.S. Geological Survey Fact Sheet 2012-3019, 6 p., https://doi.org/10.3133/fs20123019.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":246674,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3019.gif"},{"id":246671,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3019/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Texas Albers","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"South Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,25.75 ], [ -96,30 ], [ -101,30 ], [ -101,25.75 ], [ -96,25.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b877be4b08c986b3164e0","contributors":{"authors":[{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Travis J.","contributorId":26173,"corporation":false,"usgs":true,"family":"Garcia","given":"Travis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":462757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037809,"text":"sir20115202 - 2012 - Distribution and variation of arsenic in Wisconsin surface soils, with data on other trace elements","interactions":[],"lastModifiedDate":"2013-03-11T15:59:57","indexId":"sir20115202","displayToPublicDate":"2012-03-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5202","title":"Distribution and variation of arsenic in Wisconsin surface soils, with data on other trace elements","docAbstract":"A total of 664 soil samples distributed among different geographic regions and soil types were collected across Wisconsin to describe the distribution of arsenic relative to parent material, soil texture, and drainage class. Soils from 6 inches in depth were composited, digested in aqua regia, and analyzed for 17 trace elements. Observed soil arsenic concentrations range from a high of 39 milligrams per kilogram (mg/kg) to less than the laboratory detection limit of 1 mg/kg. Ten samples with soil arsenic concentrations greater than 8.5 mg/kg were determined to be significantly separate from the main cluster of the dataset. With these outliers removed, overall soil arsenic concentrations in Wisconsin have a median value of 1.8 mg/kg, and the 95-percent upper confidence limit of the mean is 2.4 mg/kg.\nSoils with sandy glacial outwash as a parent material have a lower median arsenic concentration (1.0 mg/kg) than soils forming in other parent materials (1.5 to 3.0 mg/kg). Soil texture and drainage category also influence median arsenic concentration. Finer grained soils have a higher observed range of concentrations. For loamy and loess-dominated soil groups, drainage category influences the median arsenic concentration and observed range of values, but a consistent relationship within the data is not apparent. Statistical analysis of the 16 other elements are presented in this report, but the relationships of concentrations to soil properties or geographic areas were not examined.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115202","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, Natural Resources Conservation Service, Wisconsin Department of Natural Resources, and Wisconsin Department of Health Services","usgsCitation":"Stensvold, K.A., 2012, Distribution and variation of arsenic in Wisconsin surface soils, with data on other trace elements (First posted March 15, 2012; Revised February 25, 2013): U.S. Geological Survey Scientific Investigations Report 2011-5202, v, 13 p.; Appendix, https://doi.org/10.3133/sir20115202.","productDescription":"v, 13 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-09-01","temporalEnd":"2007-11-30","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":246677,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5202.gif"},{"id":246676,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5202/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Copper Falls Formation;Green Bay Lobe;Lake Michigan Lobe;Central Sands;Driftless Area;Des Moines Lobe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93,42 ], [ -93,47.5 ], [ -86,47.5 ], [ -86,42 ], [ -93,42 ] ] ] } } ] }","edition":"First posted March 15, 2012; Revised February 25, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a02aee4b0c8380cd50168","contributors":{"authors":[{"text":"Stensvold, Krista A.","contributorId":48007,"corporation":false,"usgs":true,"family":"Stensvold","given":"Krista","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462781,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037803,"text":"ofr20111246 - 2012 - Moderate-resolution sea surface temperature data and seasonal pattern analysis for the Arctic Ocean ecoregions","interactions":[],"lastModifiedDate":"2016-05-03T16:07:59","indexId":"ofr20111246","displayToPublicDate":"2012-03-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1246","title":"Moderate-resolution sea surface temperature data and seasonal pattern analysis for the Arctic Ocean ecoregions","docAbstract":"

Sea surface temperature (SST) is an important environmental characteristic in determining the suitability and sustainability of habitats for marine organisms. In particular, the fate of the Arctic Ocean, which provides critical habitat to commercially important fish, is in question. This poses an intriguing problem for future research of Arctic environments - one that will require examination of long-term SST records. This publication describes and provides access to an easy-to-use Arctic SST dataset for ecologists, biogeographers, oceanographers, and other scientists conducting research on habitats and/or processes in the Arctic Ocean. The data cover the Arctic ecoregions as defined by the \"Marine Ecoregions of the World\" (MEOW) biogeographic schema developed by The Nature Conservancy as well as the region to the north from approximately 46°N to about 88°N (constrained by the season and data coverage). The data span a 29-year period from September 1981 to December 2009. These SST data were derived from Advanced Very High Resolution Radiometer (AVHRR) instrument measurements that had been compiled into monthly means at 4-kilometer grid cell spatial resolution. The processed data files are available in ArcGIS geospatial datasets (raster and point shapefiles) and also are provided in text (.csv) format. All data except the raster files include attributes identifying latitude/longitude coordinates, and realm, province, and ecoregion as defined by the MEOW classification schema. A seasonal analysis of these Arctic ecoregions reveals a wide range of SSTs experienced throughout the Arctic, both over the course of an annual cycle and within each month of that cycle. Sea ice distribution plays a major role in SST regulation in all Arctic ecoregions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111246","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Payne, M.C., Reusser, D.A., and Lee, H., 2012, Moderate-resolution sea surface temperature data and seasonal pattern analysis for the Arctic Ocean ecoregions: U.S. Geological Survey Open-File Report 2011-1246, iv, 20 p., https://doi.org/10.3133/ofr20111246.","productDescription":"iv, 20 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1981-09-01","temporalEnd":"2009-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":246673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1246.png"},{"id":320934,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1246/OFR2011-1246.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":246670,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1246/","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Arctic Ocean","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c84e4b0c8380cd6fd64","contributors":{"authors":[{"text":"Payne, Meredith C.","contributorId":102993,"corporation":false,"usgs":true,"family":"Payne","given":"Meredith","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":462771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":462769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":462770,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203242,"text":"70203242 - 2012 - Zinc isotope investigation of surface and pore waters in a mountain watershed impacted by acid rock drainage","interactions":[],"lastModifiedDate":"2019-05-01T09:38:29","indexId":"70203242","displayToPublicDate":"2012-03-15T09:34:09","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Zinc isotope investigation of surface and pore waters in a mountain watershed impacted by acid rock drainage","docAbstract":"

The pollution of natural waters with metals derived from the oxidation of sulfide minerals like pyrite is a global environmental problem. However, the metal loading pathways and transport mechanisms associated with acid rock drainage reactions are often difficult to characterize using bulk chemical data alone. In this study, we evaluated the use of zinc (Zn) isotopes to complement traditional geochemical tools in the investigation of contaminated waters at the former Waldorf mining site in the Rocky Mountains, Colorado, U.S.A. Geochemical signatures and statistical analysis helped in identifying two primary metal loading pathways at the Waldorf site. The first was characterized by a circumneutral pH, high alkalinity, and high Zn/Cd ratios. The second was characterized by acidic pHs and low Zn/Cd ratios. Zinc isotope signatures in surface water samples collected across the site were remarkably similar (the δ66Zn, relative to JMC 3-0749-L, for most samples ranged from 0.20 to 0.30‰ ± 0.09‰ 2σ). This probably suggests that the ultimate source of Zn is consistent across the Waldorf site, regardless of the metal loading pathway. The δ66Zn of pore water samples collected within a nearby metal-impacted wetland area, however, were more variable, ranging from 0.20 to 0.80‰ ± 0.09‰ 2σ. Here the Zn isotopes seemed to reflect differences in groundwater flow pathways. However, a host of secondary processes might also have impacted Zn isotopes, including adsorption of Zn onto soil components, complexation of Zn with dissolved organic matter, uptake of Zn into plants, and the precipitation of Zn during the formation of reduced sulfur species. Zinc isotope analysis proved useful in this study; however, the utility of this isotopic tool would improve considerably with the addition of a comprehensive experimental foundation for interpreting the complex isotopic relationships found in soil pore waters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.01.015","usgsCitation":"Aranda, S., Borrok, D.M., Wanty, R.B., and Balistrieri, L.S., 2012, Zinc isotope investigation of surface and pore waters in a mountain watershed impacted by acid rock drainage: Science of the Total Environment, v. 420, p. 202-213, https://doi.org/10.1016/j.scitotenv.2012.01.015.","productDescription":"12 p.","startPage":"202","endPage":"213","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":363423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Clear Creek County","otherGeospatial":"Waldorf Mining Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.98236083984375,\n 39.499802162332884\n ],\n [\n -105.98236083984375,\n 39.80220607474971\n ],\n [\n -105.41107177734375,\n 39.80220607474971\n ],\n [\n -105.41107177734375,\n 39.499802162332884\n ],\n [\n -105.98236083984375,\n 39.499802162332884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"420","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aranda, Suzan","contributorId":215229,"corporation":false,"usgs":false,"family":"Aranda","given":"Suzan","email":"","affiliations":[],"preferred":false,"id":761863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borrok, David M.","contributorId":26056,"corporation":false,"usgs":true,"family":"Borrok","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":761864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":761865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037801,"text":"ds648 - 2012 - Groundwater-quality data for a treated-wastewater plume near the Massachusetts Military Reservation, Ashumet Valley, Cape Cod, Massachusetts, 2006-08","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"ds648","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"648","title":"Groundwater-quality data for a treated-wastewater plume near the Massachusetts Military Reservation, Ashumet Valley, Cape Cod, Massachusetts, 2006-08","docAbstract":"A plume of contaminated groundwater extends from former disposal beds at the Massachusetts Military Reservation's wastewater-treatment plant toward Ashumet Pond, coastal ponds, and Vineyard Sound, Cape Cod, Massachusetts. Treated sewage-derived wastewater was discharged to the rapid-infiltration beds for nearly 60 years before the disposal site was moved to a different location in December 1995. Water-quality samples were collected from monitoring wells, multilevel samplers, and profile borings to characterize the nature and extent of the contaminated groundwater and to observe the water-quality changes after the wastewater disposal ceased. Data are presented here for water samples collected in 2007 from 394 wells (at 121 well-cluster locations) and 780 multilevel-sampler ports (at 42 locations) and in 2006-08 at 306 depth intervals in profile borings (at 20 locations) in and near the treated-wastewater plume. Analyses of these water samples for field parameters (specific conductance, pH, dissolved oxygen and phosphate concentrations, and alkalinity); absorbance of ultraviolet/visible light; and concentrations of nitrous oxide, dissolved organic carbon, methylene blue active substances, selected anions and nutrients, including nitrate and ammonium, and selected inorganic solutes, including cations, anions, and minor elements, are presented in tabular format. The natural restoration of the sand and gravel aquifer after removal of the treated-wastewater source, along with interpretations of the water quality in the treated-wastewater plume, have been documented in several published reports that are listed in the references.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds648","collaboration":"Prepared in cooperation with the Air Force Center for Engineering and the Environment","usgsCitation":"Savoie, J., LeBlanc, D.R., Fairchild, G.M., Smith, R.L., Kent, D.B., Barber, L.B., Repert, D.A., Hart, C.P., Keefe, S.H., and Parsons, L.A., 2012, Groundwater-quality data for a treated-wastewater plume near the Massachusetts Military Reservation, Ashumet Valley, Cape Cod, Massachusetts, 2006-08: U.S. Geological Survey Data Series 648, vii, 11 p.; Virtual CD - PDF, XLSX, & CVS; List of Tables, https://doi.org/10.3133/ds648.","productDescription":"vii, 11 p.; Virtual CD - PDF, XLSX, & CVS; List of Tables","temporalStart":"2006-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":246665,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_648.png"},{"id":246662,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/648/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Polyconic projection","datum":"North American datum 1927","country":"United States","state":"Massachusetts","city":"Cape Cod","otherGeospatial":"Massachusetts Military Reservation;Ashumet Pond;Ashumet Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.56666666666666,41.5675 ], [ -70.56666666666666,41.63472222222222 ], [ -70.53361111111111,41.63472222222222 ], [ -70.53361111111111,41.5675 ], [ -70.56666666666666,41.5675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2dcee4b0c8380cd5c036","contributors":{"authors":[{"text":"Savoie, Jennifer G.","contributorId":52218,"corporation":false,"usgs":true,"family":"Savoie","given":"Jennifer G.","affiliations":[],"preferred":false,"id":462766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairchild, Gillian M. gfairchi@usgs.gov","contributorId":4418,"corporation":false,"usgs":true,"family":"Fairchild","given":"Gillian","email":"gfairchi@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":462765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":462761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":462758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":462762,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hart, Charles P. cphart@usgs.gov","contributorId":2603,"corporation":false,"usgs":true,"family":"Hart","given":"Charles","email":"cphart@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":462763,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keefe, Steffanie H. 0000-0002-3805-6101 shkeefe@usgs.gov","orcid":"https://orcid.org/0000-0002-3805-6101","contributorId":2843,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie","email":"shkeefe@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":462764,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parsons, Luke A.","contributorId":87402,"corporation":false,"usgs":true,"family":"Parsons","given":"Luke","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":462767,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70037793,"text":"sim3202 - 2012 - Bathymetry of Groundhog Reservoir, Dolores County, Colorado, 2011","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"sim3202","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","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":"3202","title":"Bathymetry of Groundhog Reservoir, Dolores County, Colorado, 2011","docAbstract":"In order to better characterize the water supply capacity of Groundhog Reservoir, Dolores County, Colorado, the U.S. Geological Survey, in cooperation with the Dolores Water Conservancy District, conducted a bathymetric survey of Groundhog Reservoir. The study was performed in June 2011 using a man-operated boat-mounted multibeam echo sounder integrated with a global positioning system and a terrestrial real-time kinematic global positioning system. The two collected datasets were merged and imported into geographic information system software. A bathymetric map of the reservoir was generated in addition to plots for the stage-area and the stage-volume relations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3202","collaboration":"Prepared in cooperation with the Dolores Water Conservancy District","usgsCitation":"Kohn, M.S., 2012, Bathymetry of Groundhog Reservoir, Dolores County, Colorado, 2011: U.S. Geological Survey Scientific Investigations Map 3202, Sheet 1: 37.43 x 24.05 inches, https://doi.org/10.3133/sim3202.","productDescription":"Sheet 1: 37.43 x 24.05 inches","onlineOnly":"Y","temporalStart":"2011-06-01","temporalEnd":"2011-06-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":246655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3202.png"},{"id":246653,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3202/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator projection, Zone 12 North","datum":"North American Datum of 1983","country":"United States","state":"Colorado","county":"Dolores County","otherGeospatial":"Groundhog Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.31666666666666,37.78333333333333 ], [ -108.31666666666666,37.801111111111105 ], [ -108.28333333333333,37.801111111111105 ], [ -108.28333333333333,37.78333333333333 ], [ -108.31666666666666,37.78333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f019e4b0c8380cd4a5c9","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462735,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70037788,"text":"ofr20121044 - 2012 - In situ optical water-quality sensor networks - Workshop summary report","interactions":[],"lastModifiedDate":"2012-04-30T16:43:33","indexId":"ofr20121044","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1044","title":"In situ optical water-quality sensor networks - Workshop summary report","docAbstract":"Advanced in situ optical water-quality sensors and new techniques for data analysis hold enormous promise for furthering scientific understanding of aquatic systems. These sensors measure important biogeochemical parameters for long deployments, enabling the capture of data at time scales over which they vary most meaningfully. The high-frequency, real-time water-quality data they generate provide opportunities for early warning of water-quality deterioration, trend detection, and science-based decision support. However, developing networks of optical sensors in freshwater systems that report reliable and comparable data across and between sites remains a challenge to the research and monitoring community. To address this, the U. S. Geological Survey (USGS) and the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) convened a joint 3-day workshop (June 8-10, 2011) at the National Conservation Training Center in Shepardstown, West Virginia, to explore ways to coordinate development of standards and applications for optical sensors, and improve handling, storing, and analyzing the continuous data they produce. The workshop brought together more than 60 scientists, program managers, and vendors from universities, government agencies, and the private sector. Several important outcomes emerged from the presentations and breakout sessions. There was general consensus that making intercalibrated measurements requires that both manufacturers and users better characterize and calibrate the sensors under field conditions. For example, the influence of suspended particles, highly colored water, and temperature on optical sensors remains poorly understood, but consistently accounting for these factors is critical to successful deployment and for interpreting results in different settings. This, in turn, highlights the lack of appropriate standards for sensor calibrations, field checks, and characterizing interferences, as well as methods for data validation, treatment, and analysis of resulting measurements. Participants discussed a wide range of logistical considerations for successful sensor deployments, including key physical infrastructure, data loggers, and remote-communication techniques. Tools to manage, assure, and control quality, and explore large streams of continuous water-quality data are being developed by the USGS, CUAHSI, and other organizations, and will be critical to making full use of these highfrequency data for research and monitoring.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121044","collaboration":"Prepared in cooperation with the Consortium of Universities for the Advancement of Hydrologic Science, Inc., Utah Water Research Laboratory, Utah State University","usgsCitation":"Pellerin, B., Bergamaschi, B., and Horsburgh, J.S., 2012, In situ optical water-quality sensor networks - Workshop summary report: U.S. Geological Survey Open-File Report 2012-1044, iv, 7 p.; Appendices, https://doi.org/10.3133/ofr20121044.","productDescription":"iv, 7 p.; Appendices","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":246668,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1044.png"},{"id":246659,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1044/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a39a8e4b0c8380cd619cc","contributors":{"authors":[{"text":"Pellerin, Brian A.","contributorId":58385,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[],"preferred":false,"id":462729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":462730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horsburgh, Jeffery S.","contributorId":101496,"corporation":false,"usgs":true,"family":"Horsburgh","given":"Jeffery","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":462731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037789,"text":"sir20125050 - 2012 - Groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri, well field","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125050","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5050","title":"Groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri, well field","docAbstract":"Source contributions to monitoring and supply wells, contributing recharge areas, groundwater travel times, and current (2012) understanding of alluvial water quality were used to develop a groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri well field. The plan was designed to evaluate long-term alluvial water quality and assess potential changes in, and threats to, well-field water quality. Source contributions were determined from an existing groundwater flow model in conjunction with particle-tracking analysis and verified with water-quality data collected from 1997 through 2010 from a network of 68 monitoring wells. Three conjunctive factors - well-field pumpage, Missouri River discharge, and aquifer recharge - largely determined groundwater flow and, therefore, source contributions. The predominant source of groundwater to most monitoring wells and supply wells is the Missouri River, and this was reflected, to some extent, in alluvial water quality. To provide an estimate of the maximum potential lead time available for remedial action, monitoring wells where groundwater travel times from the contributing recharge areas are less than 2 years and predominately singular sources (such as the Missouri River or the land surface) were selected for annual sampling. The sample interval of the remaining wells, which have varying travel times and intermediate mixtures of river and land-surface contributions, were staggered on a 2-, 3-, or 4-year rotation. This was done to provide data from similar contributing areas and account for inherent aquifer variability yet minimize sample redundancy.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125050","collaboration":"Prepared in cooperation with the City of Independence, Missouri, Water Department","usgsCitation":"Wilkison, D.H., 2012, Groundwater monitoring plan for the Missouri River alluvial aquifer in the vicinity of the City of Independence, Missouri, well field: U.S. Geological Survey Scientific Investigations Report 2012-5050, vi, 29 p.; Appendix, https://doi.org/10.3133/sir20125050.","productDescription":"vi, 29 p.; Appendix","onlineOnly":"Y","temporalStart":"1997-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":246667,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5050.gif"},{"id":246660,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5050/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 15","country":"United States","state":"Missouri","county":"Clay;Jackson","city":"City Of Independence","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.83333333333333,39.083333333333336 ], [ -94.83333333333333,39.25 ], [ -94.16666666666667,39.25 ], [ -94.16666666666667,39.083333333333336 ], [ -94.83333333333333,39.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2daae4b0c8380cd5bf97","contributors":{"authors":[{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462732,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70191690,"text":"70191690 - 2012 - Multitemporal ALSM change detection, sediment delivery, and process mapping at an active earthflow","interactions":[],"lastModifiedDate":"2017-10-17T17:09:02","indexId":"70191690","displayToPublicDate":"2012-03-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Multitemporal ALSM change detection, sediment delivery, and process mapping at an active earthflow","docAbstract":"

Remote mapping and measurement of surface processes at high spatial resolution is among the frontiers in Earth surface process research. Remote measurements that allow meter-scale mapping of landforms and quantification of landscape change can revolutionize the study of landscape evolution on human timescales. At Mill Gulch in northern California, USA, an active earthflow was surveyed in 2003 and 2007 by airborne laser swath mapping (ALSM), enabling meter-scale quantification of landscape change. We calculate four-year volumetric flux from the earthflow and compare it to long-term catchment average erosion rates from cosmogenic radionuclide inventories from adjacent watersheds. We also present detailed maps of changing features on the earthflow, from which we can derive velocity estimates and infer dominant process. These measurements rely on proper digital elevation model (DEM) generation and a simple surface-matching technique to align the multitemporal data in a manner that eliminates systematic error in either dataset. The mean surface elevation of the earthflow and an opposite slope that was directly influenced by the earthflow decreased 14 ± 1 mm/yr from 2003 to 2007. By making the conservative assumption that these features were the dominant contributor of sediment flux from the entire Mill Gulch drainage basin during this time interval, we calculate a minimum catchment-averaged erosion rate of 0·30 ± 0·02 mm/yr. Analysis of beryllium-10 (10Be) concentrations in fluvial sand from nearby Russian Gulch and the South Fork Gualala River provide catchment averaged erosion rates of 0·21 ± 0·04 and 0·23 ± 0·03 mm/yr respectively. From translated landscape features, we can infer surface velocities ranging from 0·5 m/yr in the wide upper ‘source’ portion of the flow to 5 m/yr in the narrow middle ‘transport’ portion of the flow. This study re-affirms the importance of mass wasting processes in the sediment budgets of uplifting weak lithologies.

","language":"English","publisher":"British Society for Geomorphology","doi":"10.1002/esp.2234","usgsCitation":"DeLong, S.B., Prentice, C.S., Hilley, G.E., and Ebert, Y., 2012, Multitemporal ALSM change detection, sediment delivery, and process mapping at an active earthflow: Earth Surface Processes and Landforms, v. 37, no. 3, p. 262-272, https://doi.org/10.1002/esp.2234.","productDescription":"11 p.","startPage":"262","endPage":"272","ipdsId":"IP-025170","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.56048583984374,\n 38.724090458956965\n ],\n [\n -123.45748901367188,\n 38.724090458956965\n ],\n [\n -123.45748901367188,\n 38.78620445725866\n ],\n [\n -123.56048583984374,\n 38.78620445725866\n ],\n [\n -123.56048583984374,\n 38.724090458956965\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-04","publicationStatus":"PW","scienceBaseUri":"59e71695e4b05fe04cd331fb","contributors":{"authors":[{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilley, George E.","contributorId":197258,"corporation":false,"usgs":false,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebert, Yael","contributorId":197259,"corporation":false,"usgs":false,"family":"Ebert","given":"Yael","email":"","affiliations":[],"preferred":false,"id":713073,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037773,"text":"ds664 - 2012 - Biosolids, crop, and groundwater data for a biosolids-application area near Deer Trail, Colorado, 2009 and 2010","interactions":[],"lastModifiedDate":"2025-05-15T13:54:22.319996","indexId":"ds664","displayToPublicDate":"2012-03-14T08:36:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"664","title":"Biosolids, crop, and groundwater data for a biosolids-application area near Deer Trail, Colorado, 2009 and 2010","docAbstract":"During 2009 and 2010, the U.S. Geological Survey monitored the chemical composition of biosolids, crops, and groundwater related to biosolids applications near Deer Trail, Colorado, in cooperation with the Metro Wastewater Reclamation District. This monitoring effort was a continuation of the monitoring program begun in 1999 in cooperation with the Metro Wastewater Reclamation District and the North Kiowa Bijou Groundwater Management District. The monitoring program addressed concerns from the public about potential chemical effects from applications of biosolids to farmland in the area near Deer Trail, Colo. This report presents chemical data from 2009 and 2010 for biosolids, crops, and alluvial and bedrock groundwater. The chemical data include the constituents of highest concern to the public (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, zinc, and plutonium) in addition to many other constituents. The groundwater section also includes data for precipitation, air temperature, and depth to groundwater at various groundwater-monitoring sites.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds664","collaboration":"Prepared in cooperation with the Metro Wastewater Reclamation District","usgsCitation":"Yager, T., Smith, D., and Crock, J.G., 2012, Biosolids, crop, and groundwater data for a biosolids-application area near Deer Trail, Colorado, 2009 and 2010: U.S. Geological Survey Data Series 664, vi, 11 p., https://doi.org/10.3133/ds664.","productDescription":"vi, 11 p.","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":246642,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/664/","linkFileType":{"id":5,"text":"html"}},{"id":246649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_664.gif"}],"country":"United States","state":"Colorado","city":"Deer Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.33333333333333,38.666666666666664 ], [ -105.33333333333333,40.583333333333336 ], [ -103.16666666666667,40.583333333333336 ], [ -103.16666666666667,38.666666666666664 ], [ -105.33333333333333,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f197e4b0c8380cd4ad12","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":462673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":462672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":462671,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200445,"text":"ofr20111261A - 2012 - Shallow coal exploration drill-hole data—Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas","interactions":[],"lastModifiedDate":"2019-06-03T13:27:46","indexId":"ofr20111261A","displayToPublicDate":"2012-03-13T16:35:47","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1261","chapter":"A","displayTitle":"Shallow Coal Exploration Drill-Hole Data—Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas","title":"Shallow coal exploration drill-hole data—Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas","docAbstract":"

Coal exploration drill-hole data from over 24,000 wells in 10 States are discussed by State in the chapters of this report, and the data are provided in an accompanying spreadsheet. The drill holes were drilled between 1962 and 1984 by Phillips Coal Company, a division of Phillips Petroleum Company (Phillips). The data were donated to the U.S. Geological Survey (USGS) in 2001 by the North American Coal Corporation, which purchased the Phillips assets as part of a larger dataset. Under the terms of the agreement with North American Coal Corporation, the data were deemed proprietary until February 2011, a period of 10 years after the donation (Appendix of Chapter A). Now that the required period of confidentiality has passed, the data have been digitized from tabulated data files to create unified and spatially consistent coal exploration drill-hole maps and reports for the States of Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas. The data are made publicly available by this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20111261A","usgsCitation":"Valentine, B., and Dennen, K., 2012, Shallow coal exploration drill-hole data—Alabama, Georgia, Kentucky, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, and Texas: U.S. Geological Survey Open-File Report 2011-1261, iii, 5 p., https://doi.org/10.3133/ofr20111261A.","productDescription":"iii, 5 p.","numberOfPages":"9","ipdsId":"IP-026343","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":362049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":358501,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1261/"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Brett 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":209829,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":748910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennen, Kristin O.","contributorId":209828,"corporation":false,"usgs":true,"family":"Dennen","given":"Kristin O.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":748909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037750,"text":"sir20115092 - 2012 - Contaminants in stream sediments from seven U.S. metropolitan areas: Data summary of a National Pilot Study","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115092","displayToPublicDate":"2012-03-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5092","title":"Contaminants in stream sediments from seven U.S. metropolitan areas: Data summary of a National Pilot Study","docAbstract":"This report presents data collected as a part of a synoptic survey of stream sediment contaminants, associated watershed characteristics and invertebrate responses in laboratory sediment toxicity tests from 98 streams (sites) in seven metropolitan study areas across the continental United States. The report presents methods, data, and sediment-quality guidelines, including the derivation of a new sediment pyrethroid probable effects concentration, for the purposes of relating measured contaminants to land use and toxicity evaluation. The study evaluated sites that ranged in their degree of relative urbanization within the study areas of Atlanta, Boston, Dallas-Fort Worth, Denver, Milwaukee-Green Bay, Salt Lake City, and Seattle-Tacoma. In all, 108 chemical analytes quantified in the study are presented, by class and number of individual compounds, as follows: polyaromatic hydrocarbons (PAHs) (28), organochlorine pesticides (OCs) (18), polychlorinated biphenyls (Aroclors) (3), pyrethroid insecticides (14), fipronil compounds (4), priority trace and other major elements (41). The potential of these sediments to cause toxicity to sediment-dwelling invertebrates was evaluated using two standard sediment toxicity tests: a 28-day growth and survival toxicity test with the amphipod Hyalella azteca, and a 10-day growth and survival toxicity test with the midge Chironomus dilutus. Further, approximately 95 relevant watershed and reach-level characteristics were generated and are presented to aid in interpretation and explanation of contaminant and toxicity patterns. Interpretation of the findings of this study, including the relationships with urbanization and other factors, the relationship between sediment toxicity and sediment chemistry in the seven study areas, and the sources and occurrence of pyrethroid insecticides, are discussed in detail in a forthcoming series of journal articles.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115092","collaboration":"A joint effort between USGS programs: National Water Quality Assessment (NAWQA), Toxic Substances Hydrology (Toxics), and Contaminant Biology","usgsCitation":"Moran, P.W., Calhoun, D.L., Nowell, L.H., Kemble, N.E., Ingersoll, C.G., Hladik, M., Kuivila, K., Falcone, J., and Gilliom, R.J., 2012, Contaminants in stream sediments from seven U.S. metropolitan areas: Data summary of a National Pilot Study: U.S. Geological Survey Scientific Investigations Report 2011-5092, vi, 66 p., https://doi.org/10.3133/sir20115092.","productDescription":"vi, 66 p.","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":254664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5092.jpg"},{"id":246628,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5092/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","city":"Boston;Atlanta;Milwaukee;Green Bay;Dallas;Fort Worth;Denver;Salt Lake City;Seattle;Tacoma;Everett","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fa40e4b0c8380cd4d9df","contributors":{"authors":[{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Dan L.","contributorId":58502,"corporation":false,"usgs":true,"family":"Calhoun","given":"Dan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":462586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":462583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Chris G.","contributorId":48008,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Chris","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":462585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462581,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":462582,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Falcone, James A.","contributorId":24044,"corporation":false,"usgs":true,"family":"Falcone","given":"James A.","affiliations":[],"preferred":false,"id":462584,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":462578,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70037736,"text":"ofr20121019 - 2012 - Streamflow and water-quality monitoring in response to young-of-year smallmouth bass (micropterus dolomieu) mortality in the Susquehanna River and major tributaries, with comparisons to the Delaware and Allegheny Rivers, Pennsylvania, 2008-10","interactions":[],"lastModifiedDate":"2016-08-19T17:15:51","indexId":"ofr20121019","displayToPublicDate":"2012-03-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1019","title":"Streamflow and water-quality monitoring in response to young-of-year smallmouth bass (micropterus dolomieu) mortality in the Susquehanna River and major tributaries, with comparisons to the Delaware and Allegheny Rivers, Pennsylvania, 2008-10","docAbstract":"

Since 2005, spring hatched young-of-year (YOY) smallmouth bass in Pennsylvania reaches of the Susquehanna River have experienced above-normal mortality when summertime streamflows are near or lower than normal. Stress factors include, but are not limited to, low dissolved oxygen and elevated water temperatures during times critical for survival and development (critical period is May 1 through July 31). At this time (2010), widespread disease and mortality are believed to be more prevalent for YOY smallmouth bass in the Susquehanna River Basin than in the Delaware or Allegheny River Basins.

\n

The U.S. Geological Survey began a study in 2008 to investigate water temperature and dissolved oxygen as possible stressors to the YOY smallmouth bass. Monitoring began in 2008 and continued in 2009 and 2010 in selected reaches. Continuous (30-minute intervals) measurements of dissolved oxygen, water temperature, pH, and specific conductance were made during all or parts of the study at stations including, but not limited to, the Delaware River at Trenton, N.J. (station C1), Susquehanna River at Clemson Island (station C4), Juniata River at Newport, Pa. (station C5), Juniata River at Howe Township Park (station C6), Susquehanna River at Harrisburg, Pa. (station C8), and Allegheny River at Acmetonia, Pa. (station C10). At stations C1, C5, and C8, streamflow data also were collected. Streamflow data were not collected at stations C4, C6, and C10; therefore, data from nearby streamgages on the Susquehanna River at Sunbury, Pa. (station N8), the Juniata River at Newport, Pa (station C5), and the Allegheny River at Natrona, Pa. (station C9), were used to represent flow conditions at these stations.

\n

Streamflow during the critical period of each year influenced dissolved-oxygen concentrations and water temperature, and was associated with the incidence of disease in YOY smallmouth bass. During the critical period of 2009, station C8 had a median daily streamflow of 26,300 cubic feet per second (ft3/s), approximately two times higher than for the critical periods in 2008 and 2010. Diseased YOY smallmouth bass were captured at only 3 sites in 2009 but 19 sites in 2008 and 28 sites in 2010.

\n

During relatively low streamflow in the critical periods of 2008 and 2010, dissolved-oxygen concentrations also were lower (more stressful to aquatic life) than in 2009. During the critical period, median daily minimum dissolved-oxygen concentrations in main-channel habitat of the Susquehanna River at station C8 were lower in 2008 and 2010 by 1.2 milligrams per liter (mg/L) and 1.5 mg/L, respectively, in comparison to the median daily minimum concentrations in 2009. Despite the year-to-year differences in dissolved oxygen, results of a comparison of data for station C8 from each year of the study period with historical data from 1974–79 indicate daily minimum dissolved-oxygen concentrations in all 3 years of the study were significantly lower than those from the historical dataset (p-values less than 0.05). Although lower streamflows for critical periods of 2008–10 may help explain statistical differences in dissolved oxygen between the two time periods, other factors such as long-term streamwater warming trends also may play a role.

\n

Median daily minimum dissolved-oxygen concentration in the microhabitat of the Susquehanna River at Clemson Island (station C4) was 1.6 mg/L lower in 2008 than 2009. No data were collected at station C4 in 2010. For the microhabitat of the Juniata River near Howe Township Park (station C6), median daily minimum dissolved-oxygen concentrations were about 0.6 mg/L lower in 2008 than in 2010. At station C6, no data were collected in 2009.

\n

Nighttime concentrations of dissolved oxygen in microhabitats at stations C4 and C6 were at times lower than the 5.0-mg/L criterion established by the U.S. Environmental Protection Agency for early life stages of warm-water fish. The most frequent occurrence of dissolved oxygen less than 5.0 mg/L was at station C4 (31 of 92 days in the critical period of 2008). The longest duration that dissolved oxygen was lower than 5.0 mg/L was 8.5 hours (station C4; 23:30 on June 10, 2008, to 08:00 on June 11, 2008).

\n

Median daily maximum water temperatures in the main channel of the Susquehanna River at station C8 were 4.0 degrees Celsius (°C) higher in 2008 and 4.3°C warmer in 2010 than in 2009 during the critical periods. At station C8, the water temperatures during the critical periods of all 3 years were significantly warmer (p-values <0.05) than during the critical periods of 1974–79. Year-to-year water-temperature differences in the main-channel habitat of the Juniata River at station C5 were slightly less than year-to-year differences in the Susquehanna River at station C8. During the critical periods, the water temperature at station C5 was 3.5°C warmer in 2008 and 3.3°C warmer in 2010 than in 2009. These results are consistent with warming trends documented in other streams of the northeastern United States with much more robust water-temperature datasets.

\n

For the critical period of each year, dissolved oxygen in the Susquehanna River at station C8 typically was 1.5 to 3.0 mg/L lower than in the Delaware River at station C1 and the Allegheny River at station C10. Median daily maximum water temperatures during the critical period of each year ranged from 1.6 to 2.7°C warmer at station C8 than at stations C1 and C10.

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Kent","contributorId":54176,"corporation":false,"usgs":true,"family":"Crawford","given":"J.","email":"","middleInitial":"Kent","affiliations":[],"preferred":false,"id":462541,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037737,"text":"sir20115205 - 2012 - Comparison of index velocity measurements made with a horizontal acoustic Doppler current profiler","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115205","displayToPublicDate":"2012-03-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5205","title":"Comparison of index velocity measurements made with a horizontal acoustic Doppler current profiler","docAbstract":"The State of Illinois' annual withdrawal from Lake Michigan is limited by a U.S. Supreme Court decree, and the U.S. Geological Survey (USGS) is responsible for monitoring flows in the Chicago Sanitary and Ship Canal (CSSC) near Lemont, Illinois as a part of the Lake Michigan Diversion Accounting overseen by the U.S. Army Corps of Engineers, Chicago District. Every 5 years, a technical review committee consisting of practicing engineers and academics is convened to review the U.S. Geological Survey's streamgage practices in the CSSC near Lemont, Illinois. The sixth technical review committee raised a number of questions concerning the flows and streamgage practices in the CSSC near Lemont and this report provides answers to many of those questions. In addition, it is the purpose of this report to examine the index velocity meters in use at Lemont and determine whether the acoustic velocity meter (AVM), which is now the primary index velocity meter, can be replaced by the horizontal acoustic Doppler current profiler (H-ADCP), which is currently the backup meter. Application of the AVM and H-ADCP to index velocity measurements in the CSSC near Lemont, Illinois, has produced good ratings to date. The site is well suited to index velocity measurements in spite of the large range of velocities and highly unsteady flows at the site. Flow variability arises from a range of sources: operation of the waterway through control structures, lockage-generated disturbances, commercial and recreational traffic, industrial withdrawals and discharges, natural inflows, seiches, and storm events. The influences of these factors on the index velocity measurements at Lemont is examined in detail in this report. Results of detailed data comparisons and flow analyses show that use of bank-mounted instrumentation such as the AVM and H-ADCP appears to be the best option for index velocity measurement in the CSSC near Lemont. Comparison of the rating curves for the AVM and H-ADCP demonstrates that the H-ADCP is a suitable replacement for the AVM as the primary index velocity meter in the CSSC near Lemont. A key component to Lake Michigan Diversion Accounting is the USGS gaging station on the CSSC near Lemont, Illinois. The importance of this gaging station in monitoring withdrawals from Lake Michigan has made it one of the most highly scrutinized gaging stations in the country. Any changes in streamgaging practices at this gaging station requires detailed analysis to ensure the change will not adversely affect the ability of the USGS to accurately monitor flows. This report provides a detailed analysis of the flow structure and index velocity measurements in the CSSC near Lemont, Illinois, to ensure that decisions regarding the future of this streamgage are made with the best possible understanding of the site and the characteristics of the flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115205","collaboration":"Prepared in cooperation with the Chicago District of the U.S. Army Corps of Engineers","usgsCitation":"Jackson, P., Johnson, K.K., and Duncker, J.J., 2012, Comparison of index velocity measurements made with a horizontal acoustic Doppler current profiler: U.S. Geological Survey Scientific Investigations Report 2011-5205, vii, 42 p., https://doi.org/10.3133/sir20115205.","productDescription":"vii, 42 p.","onlineOnly":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":246622,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5205/","linkFileType":{"id":5,"text":"html"}},{"id":246625,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5205.jpg"}],"scale":"100000","projection":"Albers Equal-Area Projection","country":"United States","state":"Illinois","county":"Cook County;Du Page County;Will County","city":"Chicago;Lemont","otherGeospatial":"Des Plaines River;Calumet Sag Channel;Calumet River;Chicago Sanitary And Ship Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.25,41.25111111111111 ], [ -88.25,42.25 ], [ -87.5,42.25 ], [ -87.5,41.25111111111111 ], [ -88.25,41.25111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f86ce4b0c8380cd4d0c2","contributors":{"authors":[{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":462544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70009697,"text":"sir20115236 - 2012 - An analytical method for predicting postwildfire peak discharges","interactions":[],"lastModifiedDate":"2012-03-09T18:33:47","indexId":"sir20115236","displayToPublicDate":"2012-03-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5236","title":"An analytical method for predicting postwildfire peak discharges","docAbstract":"An analytical method presented here that predicts postwildfire peak discharge was developed from analysis of paired rainfall and runoff measurements collected from selected burned basins. Data were collected from 19 mountainous basins burned by eight wildfires in different hydroclimatic regimes in the western United States (California, Colorado, Nevada, New Mexico, and South Dakota). Most of the data were collected for the year of the wildfire and for 3 to 4 years after the wildfire. These data provide some estimate of the changes with time of postwildfire peak discharges, which are known to be transient but have received little documentation. The only required inputs for the analytical method are the burned area and a quantitative measure of soil burn severity (change in the normalized burn ratio), which is derived from Landsat reflectance data and is available from either the U.S. Department of Agriculture Forest Service or the U.S. Geological Survey. The method predicts the postwildfire peak discharge per unit burned area for the year of a wildfire, the first year after a wildfire, and the second year after a wildfire. It can be used at three levels of information depending on the data available to the user; each subsequent level requires either more data or more processing of the data. Level 1 requires only the burned area. Level 2 requires the burned area and the basin average value of the change in the normalized burn ratio. Level 3 requires the burned area and the calculation of the hydraulic functional connectivity, which is a variable that incorporates the sequence of soil burn severity along hillslope flow paths within the burned basin.\r\nMeasurements indicate that the unit peak discharge response increases abruptly when the 30-minute maximum rainfall intensity is greater than about 5 millimeters per hour (0.2 inches per hour). This threshold may relate to a change in runoff generation from saturated-excess to infiltration-excess overland flow. The threshold value was about 7.6 millimeters per hour for the year of the wildfire and the first year after the wildfire, and it was about 11.1 millimeters per hour for the second year after the wildfire.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115236","usgsCitation":"Moody, J.A., 2012, An analytical method for predicting postwildfire peak discharges: U.S. Geological Survey Scientific Investigations Report 2011-5236, vii, 29 p.; Appendices, https://doi.org/10.3133/sir20115236.","productDescription":"vii, 29 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":204874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5236.png"},{"id":204873,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5236/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California;Colorado;Nevada;New Mexico;South Dakota","city":"Los Alamos;Boulder;Denver","otherGeospatial":"San Dimas;Galena;Bear Gulch;Buffalo Creek;Spring Creek;Cerro Grande;Bobcat Gulch;Jug Gulch;Fourmile Canyon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f8e4b0c8380cd48570","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":356870,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70009698,"text":"sir20125028 - 2012 - A water-budget model and estimates of groundwater recharge for Guam","interactions":[],"lastModifiedDate":"2022-04-15T19:33:16.218175","indexId":"sir20125028","displayToPublicDate":"2012-03-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5028","title":"A water-budget model and estimates of groundwater recharge for Guam","docAbstract":"On Guam, demand for groundwater tripled from the early 1970s to 2010. The demand for groundwater is anticipated to further increase in the near future because of population growth and a proposed military relocation to Guam. Uncertainty regarding the availability of groundwater resources to support the increased demand has prompted an investigation of groundwater recharge on Guam using the most current data and accepted methods. For this investigation, a daily water-budget model was developed and used to estimate mean recharge for various land-cover and rainfall conditions. Recharge was also estimated for part of the island using the chloride mass-balance method. \r\nUsing the daily water-budget model, estimated mean annual recharge on Guam is 394.1 million gallons per day, which is 39 percent of mean annual rainfall (999.0 million gallons per day). Although minor in comparison to rainfall on the island, water inflows from water-main leakage, septic-system leachate, and stormwater runoff may be several times greater than rainfall at areas that receive these inflows. Recharge is highest in areas that are underlain by limestone, where recharge is typically between 40 and 60 percent of total water inflow. Recharge is relatively high in areas that receive stormwater runoff from storm-drain systems, but is relatively low in urbanized areas where stormwater runoff is routed to the ocean or to other areas. In most of the volcanic uplands in southern Guam where runoff is substantial, recharge is less than 30 percent of total water inflow. \r\nThe water-budget model in this study differs from all previous water-budget investigations on Guam by directly accounting for canopy evaporation in forested areas, quantifying the evapotranspiration rate of each land-cover type, and accounting for evaporation from impervious areas. For the northern groundwater subbasins defined in Camp, Dresser & McKee Inc. (1982), mean annual baseline recharge computed in this study is 159.1 million gallons per day, which is 50 percent of mean annual rainfall, and is 42 percent greater than the recharge estimate of Camp, Dresser & McKee Inc. (1982). For the northern aquifer sectors defined in Mink (1991), which encompass most of the northern half of the island, mean annual baseline recharge computed in this study is 238.0 million gallons per day, which is 51 percent of mean annual rainfall, and is about 6 percent lower than the recharge estimate of Mink (1991). For the drought simulation performed in this study, recharge for the entire island is 259.3 million gallons per day, which is 34 percent lower than recharge computed for baseline conditions. For all aquifer sectors defined by Mink (1991), total recharge during drought conditions is 32 percent lower than mean baseline recharge. For the future land-cover water-budget simulation, which represents potential land-cover changes owing to the military relocation and population growth, estimated recharge for the entire island is nearly equal to the baseline recharge estimate that was based on 2004 land cover. \r\nUsing the water-budget model, estimated recharge in the northern half of the island is most sensitive to crop coefficients and net precipitation rates—two of the water-budget parameters used in the estimation of total evapotranspiration. Estimated recharge in the southern half of the island is most sensitive to crop coefficients, net precipitation rate, and runoff-to-rainfall ratios. \r\nDuring March 2010 to May 2011, bulk-deposition samples from five rainfall stations on Guam were collected and analyzed for chloride. Additionally, samples from five groundwater sites were collected and analyzed for chloride. Results were used to estimate groundwater recharge using the chloride mass-balance method. Recharge estimates using this method at three bulk-deposition stations on the northern limestone plateau range from about 25 to 48 percent of rainfall. These recharge estimates are similar to the estimate of Ayers (1981) who also used this method. Recharge estimates at each bulk-deposition station, however, are lower than the baseline recharge estimate from the water-budget model used in this study. This may be because no large storms, such as tropical cyclones, passed near Guam during March 2010 to May 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125028","collaboration":"Prepared in cooperation with the United States Marine Corps","usgsCitation":"Johnson, A.G., 2012, A water-budget model and estimates of groundwater recharge for Guam: U.S. Geological Survey Scientific Investigations Report 2012-5028, vi, 53 p., https://doi.org/10.3133/sir20125028.","productDescription":"vi, 53 p.","onlineOnly":"Y","temporalStart":"2010-03-01","temporalEnd":"2011-05-31","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":204879,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5028.gif"},{"id":398862,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96552.htm"},{"id":204876,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5028/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","datum":"WGS84","country":"Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.61666666666667,13.233333333333333 ], [ 144.61666666666667,13.666666666666666 ], [ 144.96666666666667,13.666666666666666 ], [ 144.96666666666667,13.233333333333333 ], [ 144.61666666666667,13.233333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e615e4b0c8380cd47161","contributors":{"authors":[{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356871,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70009696,"text":"fs20123026 - 2012 - Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:20:42","indexId":"fs20123026","displayToPublicDate":"2012-03-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3026","title":"Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas","docAbstract":"

Since December 2005, the U.S. Geological Survey, in cooperation with the City of Houston, Texas, has been assessing the quality of the water flowing into Lake Houston. Continuous in-stream water-quality monitors measured streamflow and other physical water quality properties at stations in Spring Creek near Spring, Tex., and East Fork San Jacinto River near New Caney, Tex. Additionally, discrete water-quality samples were periodically collected on these tributaries and analyzed for selected constituents of concern. Data from the discrete water-quality samples collected during 2005-9, in conjunction with the real-time streamflow data and data from the continuous in-stream water-quality monitors, provided the basis for developing regression equations for the estimation of concentrations of water-quality constituents of these source watersheds to Lake Houston. The output of the regression equations are available through the interactive National Real-Time Water Quality Web site (http://nrtwq.usgs.gov).

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New regulatory restrictions have been placed on the use of some second-generation anticoagulant rodenticides in the United States, and in some situations this action may be offset by expanded use of first-generation compounds. We have recently conducted several studies with captive adult American kestrels and eastern screech-owls examining the toxicity of diphacinone (DPN) using both acute oral and short-term dietary exposure regimens. Diphacinone evoked overt signs of intoxication and lethality in these raptors at exposure doses that were 20 to 30 times lower than reported for traditionally used wildlife test species (mallard and northern bobwhite). Sublethal exposure of kestrels and owls resulted in prolonged clotting time, reduced hematocrit, and/or gross and histological evidence of hemorrhage at daily doses as low as 0.16 mg DPN/kg body weight. Findings also demonstrated that DPN was far more potent in short-term 7-day dietary studies than in single-day acute oral exposure studies. Incorporating these kestrel and owl data into deterministic and probabilistic risk assessments indicated that the risks associated with DPN exposure for raptors are far greater than predicted in analyses using data from mallards and bobwhite. These findings can assist natural resource managers in weighing the costs and benefits of anticoagulant rodenticide use in pest control and eradication programs.

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