Past and present Missouri River management practices have resulted in native fishes being identified as in jeopardy. In 1995, the Missouri River Benthic Fishes Study was initiated to provide improved information on Missouri River fish populations and how alterations might affect them. The study produced a baseline against which to evaluate future changes in Missouri River operating criteria. The objective was to evaluate population structure and habitat use of benthic fishes along the entire mainstem Missouri River, exclusive of reservoirs. Here we use the data from this study to provide a recent-past baseline for on-going Missouri River fish population monitoring programmes along with a more powerful method for analysing data containing large percentages of zero values. This is carried out by describing the distribution and habitat use of 21 species of Missouri River benthic fishes based on catch-per-unit area data from multiple gears. We employ a Bayesian zero-inflated Poisson model expanded to include continuous measures of habitat quality (i.e. substrate composition, depth, velocity, temperature, turbidity and conductivity). Along with presenting the method, we provide a relatively complete picture of the Missouri River benthic fish community and the relationship between their relative population numbers and habitat conditions. We demonstrate that our single model provides all the information that is often obtained by a myriad of analytical techniques. An important advantage of the present approach is reliable inference for patterns of relative abundance using multiple gears without using gear efficiencies.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.1559","usgsCitation":"Wildhaber, M., Gladish, D., and Arab, A., 2011, Distribution and habitat use of the Missouri River and Lower Yellowstone River benthic fishes from 1996 to 1998: A baseline for fish community recovery: River Research and Applications, v. 28, no. 10, p. 1780-1803, https://doi.org/10.1002/rra.1559.","productDescription":"24 p.","startPage":"1780","endPage":"1803","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":438823,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RIFWBM","text":"USGS data release","linkHelpText":"Captures and habitat classification of benthic fishes along the Missouri and Lower Yellowstone Rivers, 1996-1998"},{"id":204159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-07-31","publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a18e","contributors":{"authors":[{"text":"Wildhaber, M. L. 0000-0002-6538-9083","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":62961,"corporation":false,"usgs":true,"family":"Wildhaber","given":"M. L.","affiliations":[],"preferred":false,"id":352084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gladish, D. W.","contributorId":68445,"corporation":false,"usgs":false,"family":"Gladish","given":"D. W.","affiliations":[],"preferred":false,"id":352085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arab, A.","contributorId":71770,"corporation":false,"usgs":true,"family":"Arab","given":"A.","email":"","affiliations":[],"preferred":false,"id":352086,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005836,"text":"ofr20111272 - 2011 - Joint Ecosystem Modeling (JEM) ecological model documentation volume 1: Estuarine prey fish biomass availability v1.0.0","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"ofr20111272","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","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":"2011-1272","title":"Joint Ecosystem Modeling (JEM) ecological model documentation volume 1: Estuarine prey fish biomass availability v1.0.0","docAbstract":"Estuarine fish serve as an important prey base in the Greater Everglades ecosystem for key fauna such as wading birds, crocodiles, alligators, and piscivorous fishes. Human-made changes to freshwater flow across the Greater Everglades have resulted in less freshwater flow into the fringing estuaries and coasts. These changes in freshwater input have altered salinity patterns and negatively affected primary production of the estuarine fish prey base. Planned restoration projects should affect salinity and water depth both spatially and temporally and result in an increase in appropriate water conditions in areas occupied by estuarine fish. To assist in restoration planning, an ecological model of estuarine prey fish biomass availability was developed as an evaluation tool to aid in the determination of acceptable ranges of salinity and water depth. Comparisons of model output to field data indicate that the model accurately predicts prey biomass in the estuarine regions of the model domain. This model can be used to compare alternative restoration plans and select those that provide suitable conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111272","collaboration":"Prepared as part of the U.S. Geological Survey Priority Ecosystems Science Initiative","usgsCitation":"Romañach, S., Conzelmann, C., Daugherty, A., Lorenz, J.L., Hunnicutt, C., and Mazzotti, F., 2011, Joint Ecosystem Modeling (JEM) ecological model documentation volume 1: Estuarine prey fish biomass availability v1.0.0: U.S. Geological Survey Open-File Report 2011-1272, iv, 20 p., https://doi.org/10.3133/ofr20111272.","productDescription":"iv, 20 p.","startPage":"i","endPage":"20","numberOfPages":"24","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":94484,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1272/","linkFileType":{"id":5,"text":"html"}},{"id":116479,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1272.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a56e4b07f02db62dd2a","contributors":{"authors":[{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":353339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":353340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daugherty, Adam","contributorId":92417,"corporation":false,"usgs":true,"family":"Daugherty","given":"Adam","email":"","affiliations":[],"preferred":false,"id":353343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorenz, Jerome L.","contributorId":62738,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jerome","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":353342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunnicutt, Christina 0000-0001-8624-6420","orcid":"https://orcid.org/0000-0001-8624-6420","contributorId":52312,"corporation":false,"usgs":true,"family":"Hunnicutt","given":"Christina","affiliations":[],"preferred":false,"id":353341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":353344,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237834,"text":"70237834 - 2011 - Thematic accuracy of the National Land Cover Database (NLCD) 2001 land cover for Alaska","interactions":[],"lastModifiedDate":"2024-09-24T16:16:09.519994","indexId":"70237834","displayToPublicDate":"2011-10-26T07:24:41","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Thematic accuracy of the National Land Cover Database (NLCD) 2001 land cover for Alaska","docAbstract":"The National Land Cover Database (NLCD) 2001 Alaska land cover classification is the first 30-m resolution land cover product available covering the entire state of Alaska. The accuracy assessment of the NLCD 2001 Alaska land cover classification employed a geographically stratified three-stage sampling design to select the reference sample of pixels. Reference land cover class labels were determined via fixed wing aircraft, as the high resolution imagery used for determining the reference land cover classification in the conterminous U.S. was not available for most of Alaska. Overall thematic accuracy for the Alaska NLCD was 76.2% (s.e. 2.8%) at Level II (12 classes evaluated) and 83.9% (s.e. 2.1%) at Level I (6 classes evaluated) when agreement was defined as a match between the map class and either the primary or alternate reference class label. When agreement was defined as a match between the map class and primary reference label only, overall accuracy was 59.4% at Level II and 69.3% at Level I. The majority of classification errors occurred at Level I of the classification hierarchy (i.e., misclassifications were generally to a different Level I class, not to a Level II class within the same Level I class). Classification accuracy was higher for more abundant land cover classes and for pixels located in the interior of homogeneous land cover patches.
The U.S. Geological Survey (USGS), in cooperation with the Goliad County Groundwater Conservation District, Victoria County Groundwater Conservation District, Pecan Valley Groundwater Conservation District, Guadalupe-Blanco River Authority, and San Antonio River Authority, did a study to examine the hydrology and stream-aquifer interactions in the upper Coleto Creek watershed. Findings of the study will enhance the scientific understanding of the study-area hydrology and be used to support water-management decisions to help ensure protection of the Evangeline aquifer and surface-water resources in the study area. This report describes the results of streamflow measurements, groundwater-level measurements, and water quality (from both surface-water and groundwater sites) collected from three sampling events (July–August 2009, January 2010, and June 2010) designed to characterize groundwater (from the Evangeline aquifer) and surface water, and the interaction between them, in the upper Coleto Creek watershed upstream from Coleto Creek Reservoir in southeast Texas. This report also provides a baseline level of water quality for the upper Coleto Creek watershed. Three surface-water gain-loss surveys—July 29–30, 2009, January 11–13, 2010, and June 21–22, 2010—were done under differing hydrologic conditions to determine the locations and amounts of streamflow recharging or discharging from the Evangeline aquifer. During periods when flow in the reaches of the upper Coleto Creek watershed was common (such as June 2010, when 12 of 25 reaches were flowing) or probable (such as January 2010, when 22 of 25 reaches were flowing), most of the reaches appeared to be gaining (86 percent in January 2010 and 92 percent in June 2010); however, during drought conditions (July 2009), streamflow was negligible in the entire upper Coleto Creek watershed; streamflow was observed in only two reaches during this period, one that receives inflow directly from Audilet Spring and another reach immediately downstream from Audilet Spring. Water levels in the aquifer at this time declined to the point that the aquifer could no longer provide sufficient water to the streams to sustain flow. Groundwater-level altitudes were measured at as many as 33 different wells in the upper Coleto Creek watershed during three different survey events: August 4–7 and 12, 2009; January 12–14 and 22, 2010; and June 21–24, 2010. These data were used in conjunction with groundwater-level altitudes from three continuously monitored wells to generate potentiometric surface maps for each of the three sampling events to help characterize the groundwater hydrology of the Evangeline aquifer. The altitudes of potentiometric surface contours from all three sampling events are highest in the northeast part of the study area and lowest in the southwest part of the study area. Groundwater flow direction shifts from southeast to east across the watershed, roughly coinciding with the general flow direction of the main stem of Coleto Creek. Groundwater-level altitudes increased an average of 2.35 inches between the first and third sampling events as drought conditions in summer 2009 were followed by consistent rains the subsequent fall and winter, an indication that the aquifer responds relatively quickly to both the absence and relative abundance of precipitation. A total of 44 water-quality samples were collected at 21 different sites over the course of the three sampling events (August 4–7, 2009, January 12–14, 2010, and June 21–24, 2010). In most cases, samples from each site were analyzed for the following constituents: dissolved solids, major ions, alkalinity, nutrients, trace elements, and stable isotopes (hydrogen, oxygen, and strontium). Major-ion compositions were relatively consistent among most of the samples from the upper Coleto Creek watershed (generally calcium bicarbonate waters, with chloride often making a major contribution). Of the 23 trace elements that were analyzed in water samples as part of this study, only arsenic (in two samples) and manganese (in seven samples) had concentrations that exceeded public drinking-water standards or guidelines. At 3 of the 19 sites sampled—State wells 79-06-411, 79-14-204, and Audilet Spring—nitrate concentrations exceeded the threshold (2.0 milligrams per liter) associated with anthropogenic contributions. The majority of the water samples (36 out of 44) that were analyzed for stable isotopes of hydrogen and oxygen during the three sampling events plotted in a relatively tight cluster centered near the global meteoric water line. The eight remaining samples, which include the four surface-water samples collected in June 2010, the sample collected from Coleto Creek Reservoir in January 2010, and all three samples collected at State well 79-15-904, deviate from the global meteoric water line in a way that indicates evaporative losses. The isotopic signatures of the three samples collected at State well 79-15-904, when taken in conjunction with its proximity to Coleto Creek Reservoir, indicate that there is likely a hydraulic connection between the two. When all of the sites are examined as a whole, there is a general pattern in strontium concentrations across the entire watershed that indicates that both the surface-water and groundwater samples derive from a single source (the Evangeline aquifer) with relatively uniform water-rock interactions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115157","collaboration":"In cooperation with the Goliad County Groundwater Conservation District, the Victoria County Groundwater Conservation District, the Pecan Valley Groundwater Conservation District, the Guadalupe-Blanco River Authority, and the San Antonio River Authority","usgsCitation":"Braun, C.L., and Lambert, R.B., 2011, Streamflow, groundwater hydrology, and water quality in the upper Coleto Creek watershed in southeast Texas, 2009–10: U.S. Geological Survey Scientific Investigations Report 2011-5157, vi, 46 p.; Appendices, https://doi.org/10.3133/sir20115157.","productDescription":"vi, 46 p.; Appendices","startPage":"i","endPage":"53","numberOfPages":"59","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-07-01","temporalEnd":"2010-06-30","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5157.jpg"},{"id":94433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5157/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection, Zone 14","datum":"NAD83","country":"United States","state":"Texas","otherGeospatial":"Upper Coleto Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.7,28.666666666666668 ], [ -97.7,29.116666666666667 ], [ -97,29.116666666666667 ], [ -97,28.666666666666668 ], [ -97.7,28.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4cbd","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005808,"text":"fs20113103 - 2011 - Volunteer map data collection at the USGS","interactions":[],"lastModifiedDate":"2012-02-02T00:15:57","indexId":"fs20113103","displayToPublicDate":"2011-10-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3103","title":"Volunteer map data collection at the USGS","docAbstract":"Since 1994, citizen volunteers have helped the U.S. Geological Survey (USGS) improve its topographic maps. Through the Earth Science Corps program, citizens were able to \"adopt a quad\" and collect new information and update existing map features. Until its conclusion in 2001, as many as 300 volunteers annotated paper maps which were incorporated into the USGS topographic-map revision process.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113103","usgsCitation":"Eric, B.W., Poore, B.S., Caro, H.K., and Matthews, G.D., 2011, Volunteer map data collection at the USGS: U.S. Geological Survey Fact Sheet 2011-3103, 2 p., https://doi.org/10.3133/fs20113103.","productDescription":"2 p.","startPage":"1","endPage":"2","numberOfPages":"2","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":116506,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3103.gif"},{"id":94435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3103/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a1e4b07f02db5be0dd","contributors":{"authors":[{"text":"Eric, B. Wolf","contributorId":30347,"corporation":false,"usgs":true,"family":"Eric","given":"B.","email":"","middleInitial":"Wolf","affiliations":[],"preferred":false,"id":353288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poore, Barbara S. bspoore@usgs.gov","contributorId":2541,"corporation":false,"usgs":true,"family":"Poore","given":"Barbara","email":"bspoore@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":353286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caro, Holly K.","contributorId":59548,"corporation":false,"usgs":true,"family":"Caro","given":"Holly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":353289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, Greg D. 0000-0002-5287-3888 gdmatthews@usgs.gov","orcid":"https://orcid.org/0000-0002-5287-3888","contributorId":4922,"corporation":false,"usgs":true,"family":"Matthews","given":"Greg","email":"gdmatthews@usgs.gov","middleInitial":"D.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":353287,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005807,"text":"ofr20111264 - 2011 - Audiomagnetotelluric data, Taos Plateau Volcanic Field, New Mexico","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ofr20111264","displayToPublicDate":"2011-10-24T00:00:00","publicationYear":"2011","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":"2011-1264","title":"Audiomagnetotelluric data, Taos Plateau Volcanic Field, New Mexico","docAbstract":"The U.S. Geological Survey is conducting a series of multidisciplinary studies of the San Luis Basin as part of the Geologic framework of the Rio Grande Basins project. Detailed geologic mapping, high-resolution airborne magnetic surveys, gravity surveys, audiomagnetotelluric surveys, and hydrologic and lithologic data are being used to better understand the aquifers. This report describes a regional east-west audiomagnetotelluric sounding profile acquired in late July 2009 across the Taos Plateau Volcanic Field. No interpretation of the data is included.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111264","usgsCitation":"Ailes, C.E., and Rodriguez, B.D., 2011, Audiomagnetotelluric data, Taos Plateau Volcanic Field, New Mexico: U.S. Geological Survey Open-File Report 2011-1264, iv, 8 p.; Appendix, https://doi.org/10.3133/ofr20111264.","productDescription":"iv, 8 p.; Appendix","startPage":"i","endPage":"65","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-07-01","temporalEnd":"2009-07-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":438824,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72F7MQ7","text":"USGS data release","linkHelpText":"Audiomagnetotelluric sounding data, stations 1-9, Taos Plateau Volcanic Field, New Mexico, 2009"},{"id":94434,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1264/","linkFileType":{"id":5,"text":"html"}},{"id":116355,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1264.png"}],"country":"United States","state":"New Mexico","otherGeospatial":"Taos Plateau Volcanic Field","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,36.6175 ], [ -106,36.8675 ], [ -105.5,36.8675 ], [ -105.5,36.6175 ], [ -106,36.6175 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db668132","contributors":{"authors":[{"text":"Ailes, Chad E. cailes@usgs.gov","contributorId":3995,"corporation":false,"usgs":true,"family":"Ailes","given":"Chad","email":"cailes@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":353285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":353284,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70129410,"text":"70129410 - 2011 - Results and evaluation of a survey to estimate Pacific walrus population size, 2006","interactions":[],"lastModifiedDate":"2018-06-16T17:51:24","indexId":"70129410","displayToPublicDate":"2011-10-22T09:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Results and evaluation of a survey to estimate Pacific walrus population size, 2006","docAbstract":"In spring 2006, we conducted a collaborative U.S.-Russia survey to estimate abundance of the Pacific walrus (Odobenus rosmarus divergens). The Bering Sea was partitioned into survey blocks, and a systematic random sample of transects within a subset of the blocks was surveyed with airborne thermal scanners using standard strip-transect methodology. Counts of walruses in photographed groups were used to model the relation between thermal signatures and the number of walruses in groups, which was used to estimate the number of walruses in groups that were detected by the scanner but not photographed. We also modeled the probability of thermally detecting various-sized walrus groups to estimate the number of walruses in groups undetected by the scanner. We used data from radio-tagged walruses to adjust on-ice estimates to account for walruses in the water during the survey. The estimated area of available habitat averaged 668,000 km2 and the area of surveyed blocks was 318,204 km2. The number of Pacific walruses within the surveyed area was estimated at 129,000 with 95% confidence limits of 55,000 to 507,000 individuals. This value can be used by managers as a minimum estimate of the total population size.","language":"English","publisher":"Society for Marine Mammalogy","doi":"10.1111/j.1748-7692.2010.00419.x","usgsCitation":"Speckman, S.G., Chernook, V.I., Burn, D., Udevitz, M.S., Kochnev, A.A., Vasilev, A., Jay, C.V., Lisovsky, A., Fischbach, A.S., and Benter, R., 2011, Results and evaluation of a survey to estimate Pacific walrus population size, 2006: Marine Mammal Science, v. 27, no. 3, p. 514-553, https://doi.org/10.1111/j.1748-7692.2010.00419.x.","productDescription":"40 p.","startPage":"514","endPage":"553","ipdsId":"IP-017489","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":295601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Bering Sea","volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-09-30","publicationStatus":"PW","scienceBaseUri":"5448c71fe4b0f888a81b87b0","contributors":{"authors":[{"text":"Speckman, Suzann G.","contributorId":83044,"corporation":false,"usgs":true,"family":"Speckman","given":"Suzann","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":503696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chernook, Vladimir I.","contributorId":56988,"corporation":false,"usgs":true,"family":"Chernook","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":503694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burn, Douglas M.","contributorId":65022,"corporation":false,"usgs":true,"family":"Burn","given":"Douglas M.","affiliations":[],"preferred":false,"id":503695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kochnev, Anatoly A.","contributorId":50096,"corporation":false,"usgs":true,"family":"Kochnev","given":"Anatoly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasilev, Alexander","contributorId":19891,"corporation":false,"usgs":true,"family":"Vasilev","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":503690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lisovsky, Alexander","contributorId":47313,"corporation":false,"usgs":true,"family":"Lisovsky","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":503692,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":503687,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Benter, R. Bradley","contributorId":21482,"corporation":false,"usgs":true,"family":"Benter","given":"R. Bradley","affiliations":[],"preferred":false,"id":503691,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70005798,"text":"ofr20111113 - 2011 - Summary of oceanographic and water–quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009–2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20111113","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-1113","title":"Summary of oceanographic and water–quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009–2010","docAbstract":"This data report presents oceanographic and water-quality observations made at six locations in West Falmouth Harbor and Buzzards Bay, Massachusetts, from August 2009 to September 2010. Both Buzzards Bay and West Falmouth Harbor are estuarine embayments; the input of freshwater on the eastern margin of Buzzards Bay adjacent to Cape Cod and West Falmouth Harbor is largely due to groundwater. In West Falmouth Harbor, the groundwater that seeps into the harbor is characterized by relatively high levels of nitrate. This high nitrate load has modified the ecology of the harbor (Howes and others, 2006) and may be a significant source of nitrate to Buzzards Bay during seasons with low biological nitrate uptake. The U.S. Geological Survey undertook these measurements to improve understanding of circulation, residence time, and water quality in the harbor and bay. We set up and monitored multiple sites in both Buzzards Bay and West Falmouth Harbor, measuring depth, water velocity,salinity, pH, dissolved oxygen, chlorophyll-a, and nitrate concentration. In this report we present the processed time-series data at these locations and provide access to the data and metadata. The results will be used to understand circulation mechanisms and verify numerical models of hydrodynamics and biogeochemistry.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111113","usgsCitation":"Ganju, N., Dickhudt, P., Thomas, J., Borden, J., Sherwood, C.R., Montgomery, E., Twomey, E.R., and Martini, M.A., 2011, Summary of oceanographic and water–quality measurements in West Falmouth Harbor and Buzzards Bay, Massachusetts, 2009–2010: U.S. Geological Survey Open-File Report 2011-1113, HTML Document, https://doi.org/10.3133/ofr20111113.","productDescription":"HTML Document","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1113.gif"},{"id":94432,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1113/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"West Falmouth Harbor;Buzzards Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.01666666666667,14.066666666666666 ], [ -71.01666666666667,41.13333333333333 ], [ -70.06666666666666,41.13333333333333 ], [ -70.06666666666666,14.066666666666666 ], [ -71.01666666666667,14.066666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698c5b","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":353260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickhudt, Patrick J.","contributorId":48302,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","affiliations":[],"preferred":false,"id":353258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Jennifer A.","contributorId":16153,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer A.","affiliations":[],"preferred":false,"id":353256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borden, Jonathan 0000-0001-6844-3340 jborden@usgs.gov","orcid":"https://orcid.org/0000-0001-6844-3340","contributorId":3098,"corporation":false,"usgs":true,"family":"Borden","given":"Jonathan","email":"jborden@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montgomery, Ellyn T.","contributorId":78038,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","affiliations":[],"preferred":false,"id":353259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twomey, Erin R.","contributorId":44860,"corporation":false,"usgs":true,"family":"Twomey","given":"Erin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353253,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70005796,"text":"sir20115158 - 2011 - Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009","interactions":[],"lastModifiedDate":"2019-07-19T09:08:37","indexId":"sir20115158","displayToPublicDate":"2011-10-21T00:00:00","publicationYear":"2011","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":"2011-5158","title":"Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009","docAbstract":"The former Chlor-Alkali Facility in Berlin, New Hampshire, was listed on the U.S. Environmental Protection Agency National Priorities List in 2005 as a Superfund site. The Chlor-Alkali Facility lies on the east bank of the Androscoggin River. Elemental mercury currently discharges from that bank into the Androscoggin River. The nature, extent, and the speciation of mercury and the production of methyl mercury contamination in the adjacent Androscoggin River is the subject of continuing investigations. The U.S. Geological Survey, in cooperation with Region I of the U.S. Environmental Protection Agency, used geophysical methods to determine the distribution, thickness, and physical properties of sediments in the Androscoggin River channel at a small area of an upstream reference reach and downstream from the site to the New Hampshire–Maine State border. Separate reaches of the Androscoggin River in the study area were surveyed with surface geophysical methods including ground-penetrating radar and step-frequency electromagnetics. Results were processed to assess sediment characteristics including grain size, electrical conductivity, and pore-water specific conductance. Specific conductance measured during surface- and pore-water sampling was used to help interpret the results of the geophysical surveys. The electrical resistivity of sediment samples was measured in the laboratory with intact pore water for comparison with survey results. In some instances, anthropogenic features and land uses, such as roads and power lines affected the detection of riverbed properties using geophysical methods; when this occurred, the data were removed. Through combining results, detailed riverbed sediment characterizations were made. Results from ground-penetrating radar surveys were used to image and measure the depth to the riverbed, depth to buried riverbeds, riverbed thickness and to interpret material-type variations in terms of relative grain size. Fifty two percent of the riverbed in the study area was covered with gravel and finer sediments. The electrically resistive river water and sediment in this study area were conducive to the penetration of the ground-penetrating radar and step-frequency electromagnetic signals and allowed for effective sediment characterization by geophysical methods. The reach between the former Chlor-Alkali Facility and the Riverside Dam, had small areas of fine sediment (estimated 11 percent of riverbed area), found on the upstream left bank and the downstream right bank, with an electromagnetic conductivity (31.4 millisiemens per meter (mS/m) maximum) that was higher than the upstream reference reach. The greatest electromagnetic conductivity (195 mS/m), pore-water specific conductance (324 mS/m) and lab measured sediment conductivity of (76.8 mS/m, measured with a direct-current resistivity test box) in the study were measured approximately 1 mile (mi) downstream of the site from a sandbar on the left bank. Reaches adjacent to and within 2 mi downstream from the site had elevated electromagnetic conductivity despite having lower estimated percentages of riverbed area covered in sediment (11, 25, and 61 percent, respectively) than the reference reach (97). Typically finer grained sediment with similar mineralogy will be more conductive. The Shelburne Reservoir is approximately 8 mi downstream from the site had the second greatest pore-water specific conductance measured, 45.8 mS/m. Many of the locations with the largest step-frequency electromagnetic values have not been sampled for pore water and sediment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115158","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., Teeple, A., Johnston, C.M., Marvin-DiPasquale, M.C., and Luce, D., 2011, Geophysical bed sediment characterization of the Androscoggin River from the former Chlor-Alkali Facility Superfund Site, Berlin, New Hampshire, to the state border with Maine, August 2009: U.S. Geological Survey Scientific Investigations Report 2011-5158, vii, 27 p., https://doi.org/10.3133/sir20115158.","productDescription":"vii, 27 p.","startPage":"i","endPage":"27","numberOfPages":"34","additionalOnlineFiles":"N","temporalStart":"2009-08-01","temporalEnd":"2009-08-31","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":116503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5158.gif"},{"id":94431,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5158/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","otherGeospatial":"Androscoggin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.23416666666667,44.48416666666667 ], [ -71.23416666666667,44.350833333333334 ], [ -70.98333333333333,44.350833333333334 ], [ -70.98333333333333,44.48416666666667 ], [ -71.23416666666667,44.48416666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a824c","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew 0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Craig M. cmjohnst@usgs.gov","contributorId":1814,"corporation":false,"usgs":true,"family":"Johnston","given":"Craig","email":"cmjohnst@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":353250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luce, Darryl","contributorId":72520,"corporation":false,"usgs":true,"family":"Luce","given":"Darryl","email":"","affiliations":[],"preferred":false,"id":353252,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005547,"text":"ofr20111155 - 2011 - PRISM: Processing routines in IDL for spectroscopic measurements (installation manual and user's guide, version 1.0)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"ofr20111155","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-1155","title":"PRISM: Processing routines in IDL for spectroscopic measurements (installation manual and user's guide, version 1.0)","docAbstract":"This report describes procedures for installing and using the U.S. Geological Survey Processing Routines in IDL for Spectroscopic Measurements (PRISM) software. PRISM provides a framework to conduct spectroscopic analysis of measurements made using laboratory, field, airborne, and space-based spectrometers. Using PRISM functions, the user can compare the spectra of materials of unknown composition with reference spectra of known materials. This spectroscopic analysis allows the composition of the material to be identified and characterized. Among its other functions, PRISM contains routines for the storage of spectra in database files, import/export of ENVI spectral libraries, importation of field spectra, correction of spectra to absolute reflectance, arithmetic operations on spectra, interactive continuum removal and comparison of spectral features, correction of imaging spectrometer data to ground-calibrated reflectance, and identification and mapping of materials using spectral feature-based analysis of reflectance data. This report provides step-by-step instructions for installing the PRISM software and running its functions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111155","usgsCitation":"Kokaly, R., 2011, PRISM: Processing routines in IDL for spectroscopic measurements (installation manual and user's guide, version 1.0): U.S. Geological Survey Open-File Report 2011-1155, xiv, 432 p.; PRISM Software; PRISM Support Files, https://doi.org/10.3133/ofr20111155.","productDescription":"xiv, 432 p.; PRISM Software; PRISM Support Files","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":116471,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1155.gif"},{"id":94210,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1155","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689ea7","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":352764,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005745,"text":"sir20115147 - 2011 - Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"sir20115147","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-5147","title":"Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world","docAbstract":"The Third USGS Modeling Conference was held June 7th-11, 2010, in Broomfield, Colorado. The conference focused on the development and application of analytical and theoretical models and data availability that support managing the Nation's resources and help protect lives and property. Participants at the conference included scientists and managers from Department of the Interior (DOI) Bureaus; national and international Federal, State, and local agencies; academic institutions; and nongovernmental organizations. The conference was organized according to DOI priorities and the strategic directions of the USGS Science Strategy; the following themes were emphasized: (1) Understanding Ecosystems and Restoring America's Treasured Landscapes; (2) Climate Change and Impact; (3) New Energy Frontier and Minerals for America; (4) A National Hazards, Risk, and Resilience Assessment Program; (5) Role of Environment and Wildlife in Human Health; (6) A Water Census of the United States; and (7) New Methods of Investigation and Discovery. The conference theme-\"Understanding and Predicting for a Changing World\"-focused on the following goals: advance development and application of models; provide tools that address management issues; present state-of-the-art models ranging from individual phenomena to integrated systems; and foster a working community among scientists and managers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115147","usgsCitation":"Brady, S.R., 2011, Proceedings of the third USGS modeling conference, June 7-11, 2010, Broomfield, Colorado-Understanding and predicting for a changing world: U.S. Geological Survey Scientific Investigations Report 2011-5147, x, 80 p.; Appendices, https://doi.org/10.3133/sir20115147.","productDescription":"x, 80 p.; Appendices","temporalStart":"2010-06-07","temporalEnd":"2010-06-11","costCenters":[{"id":261,"text":"Energy and Minerals and Environmental Health","active":false,"usgs":true}],"links":[{"id":116470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5147.gif"},{"id":94427,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5147/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660353","contributors":{"authors":[{"text":"Brady, Shailaja R. srbrady@usgs.gov","contributorId":1762,"corporation":false,"usgs":true,"family":"Brady","given":"Shailaja","email":"srbrady@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":353150,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005790,"text":"sir20115150 - 2011 - Quantifying viruses and bacteria in wastewater—Results, interpretation methods, and quality control","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20115150","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","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":"2011-5150","title":"Quantifying viruses and bacteria in wastewater—Results, interpretation methods, and quality control","docAbstract":"Membrane bioreactors (MBR), used for wastewater treatment in Ohio and elsewhere in the United States, have pore sizes small enough to theoretically reduce concentrations of protozoa and bacteria, but not viruses. Sampling for viruses in wastewater is seldom done and not required. Instead, the bacterial indicators Escherichia coli (E. coli) and fecal coliforms are the required microbial measures of effluents for wastewater-discharge permits. Information is needed on the effectiveness of MBRs in removing human enteric viruses from wastewaters, particularly as compared to conventional wastewater treatment before and after disinfection.\r\nA total of 73 regular and 28 quality-control (QC) samples were collected at three MBR and two conventional wastewater plants in Ohio during 23 regular and 3 QC sampling trips in 2008-10. Samples were collected at various stages in the treatment processes and analyzed for bacterial indicators E. coli, fecal coliforms, and enterococci by membrane filtration; somatic and F-specific coliphage by the single agar layer (SAL) method; adenovirus, enterovirus, norovirus GI and GII, rotavirus, and hepatitis A virus by molecular methods; and viruses by cell culture. While addressing the main objective of the study-comparing removal of viruses and bacterial indicators in MBR and conventional plants-it was realized that work was needed to identify data analysis and quantification methods for interpreting enteric virus and QC data. Therefore, methods for quantifying viruses, qualifying results, and applying QC data to interpretations are described in this report.\r\nDuring each regular sampling trip, samples were collected (1) before conventional or MBR treatment (post-preliminary), (2) after secondary or MBR treatment (post-secondary or post-MBR), (3) after tertiary treatment (one conventional plant only), and (4) after disinfection (post-disinfection). Glass-wool fiber filtration was used to concentrate enteric viruses from large volumes, and small volume grab samples were collected for direct-plating analyses for bacterial indicators and coliphage. After filtration, the viruses were eluted from the filter and further concentrated. The final concentrated sample volume (FCSV) was used for enteric virus analysis by use of two methods-cell culture and a molecular method, polymerase chain reaction (PCR). Quantitative PCR (qPCR) for DNA viruses and quantitative reverse-transcriptase PCR (qRT-PCR) for RNA viruses were used in this study.\r\nTo support data interpretations, the assay limit of detection (ALOD) was set for each virus assay and used to determine sample reporting limits (SRLs). For qPCR and qRT-PCR the ALOD was an estimated value because it was not established according to established method detection limit procedures. The SRLs were different for each sample because effective sample volumes (the volume of the original sample that was actually used in each analysis) were different for each sample. Effective sample volumes were much less than the original sample volumes because of reductions from processing steps and (or) from when dilutions were made to minimize the effects from PCR-inhibiting substances. Codes were used to further qualify the virus data and indicate the level of uncertainty associated with each measurement.\r\nQuality-control samples were used to support data interpretations. Field and laboratory blanks for bacteria, coliphage, and enteric viruses were all below detection, indicating that it was unlikely that samples were contaminated from equipment or processing procedures. The absolute value log differences (AVLDs) between concurrent replicate pairs were calculated to identify the variability associated with each measurement. For bacterial indicators and coliphage, the AVLD results indicated that concentrations <10 colony-forming units or plaque-forming units per 100 mL can differ between replicates by as much as 1 log, whereas higher concentrations can differ by as much as 0.3 log. The AVLD results for viruses indicated that differences between replicates can be as great as 1.2 log genomic copies per liter, regardless of the concentration of virus. Relatively large differences in molecular results for viruses between replicate pairs were likely due to lack of precision for samples with small effective volumes.\r\nConcentrations of E. coli, fecal coliforms, enterococci, and somatic and F-specific coliphage in post-secondary and post-tertiary samples in conventional plants were higher than those in post-MBR samples. In post-MBR and post-secondary samples, concentrations of somatic coliphage were higher than F-specific coliphage. In post-disinfection samples from two MBR plants (the third MBR plant had operational issues) and the ultraviolet conventional plant, concentrations for all bacterial indicators and coliphage were near or below detection; from the chlorine conventional plant, concentrations in post-disinfection samples were in the single or double digits. All of the plants met the National Pollutant Discharge Elimination System required effluent limits established for fecal coliforms.\r\nNorovirus GII and hepatitis A virus were not detected in any samples, and rotavirus was detected in one sample but could not be quantified. Adenovirus was found in 100 percent, enterovirus in over one-half, and norovirus GI in about one-half of post-preliminary wastewater samples. Adenovirus and enterovirus were detected throughout the treatment processes, and norovirus GI was detected less often than the other two enteric viruses. Culturable viruses were detected in post-preliminary samples and in only two post-treatment samples from the plant with operational issues.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115150","collaboration":"Prepared in cooperation with Ohio Water Development Authority and City of Delphos, Ohio","usgsCitation":"Francy, D.S., Stelzer, E.A., Bushon, R.N., Brady, A., Mailot, B.E., Spencer, S., Borchardt, M., Elber, A.G., Riddell, K.R., and Gellner, T.M., 2011, Quantifying viruses and bacteria in wastewater—Results, interpretation methods, and quality control: U.S. Geological Survey Scientific Investigations Report 2011-5150, viii, 44 p., https://doi.org/10.3133/sir20115150.","productDescription":"viii, 44 p.","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":116502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5150.jpg"},{"id":94428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5150/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64b05f","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bushon, Rebecca N. rnbushon@usgs.gov","contributorId":2304,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":353234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mailot, Brian E. bemailot@usgs.gov","contributorId":2569,"corporation":false,"usgs":true,"family":"Mailot","given":"Brian","email":"bemailot@usgs.gov","middleInitial":"E.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":353236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borchardt, Mark A.","contributorId":106255,"corporation":false,"usgs":true,"family":"Borchardt","given":"Mark A.","affiliations":[],"preferred":false,"id":353238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elber, Ashley G.","contributorId":38704,"corporation":false,"usgs":true,"family":"Elber","given":"Ashley","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":353235,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riddell, Kimberly R.","contributorId":66836,"corporation":false,"usgs":true,"family":"Riddell","given":"Kimberly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353237,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gellner, Terry M.","contributorId":29563,"corporation":false,"usgs":true,"family":"Gellner","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":353233,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70156802,"text":"70156802 - 2011 - Developing a regional canopy fuels assessment strategy using multi-scale lidar","interactions":[],"lastModifiedDate":"2017-04-25T16:30:43","indexId":"70156802","displayToPublicDate":"2011-10-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing a regional canopy fuels assessment strategy using multi-scale lidar","docAbstract":"Accurate assessments of canopy fuels are needed by fire scientists to understand fire behavior and to predict future fire occurrence. A key descriptor for canopy fuels is canopy bulk density (CBD). CBD is closely linked to the structure of the canopy; therefore, lidar measurements are particularly well suited to assessments of CBD. LANDFIRE scientists are exploring methods to integrate airborne and spaceborne lidar datasets into a national mapping effort. In this study, airborne lidar, spaceborne lidar, and field data are used to map CBD in the Yukon Flats Ecoregion, with the airborne lidar serving as a bridge between the field data and the spaceborne observations. The field-based CBD was positively correlated with airborne lidar observations (R2=0.78). Mapped values of CBD using the airborne lidar dataset were significantly correlated with spaceborne lidar observations when analyzed by forest type (R2=0.62, evergreen and R2=0.71, mixed). Though continued research is necessary to validate these results, they do support the feasibility of airborne and, most importantly, spaceborne lidar data for canopy fuels assessment.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of SilviLaser 2011, 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems, University of Tasmania, Australia, 16-20 October 2011","conferenceTitle":"SilviLaser 2011: 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems","conferenceDate":"October 16-20, 2011","conferenceLocation":"Hobart, Australia","language":"English","publisher":"Conference Secretariat","usgsCitation":"Peterson, B.E., and Nelson, K., 2011, Developing a regional canopy fuels assessment strategy using multi-scale lidar, in Proceedings of SilviLaser 2011, 11th International Conference on LiDAR Applications for Assessing Forest Ecosystems, University of Tasmania, Australia, 16-20 October 2011, Hobart, Australia, October 16-20, 2011, p. 1-8.","productDescription":"8 p.","startPage":"1","endPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032199","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307673,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cabdirect.org/abstracts/20123184013.html;jsessionid=2A9EBB7BD755B5E2B3826298C971B69B;jsessionid=DEFDDB98C3791DFED8A609AC28CBDF1B"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon flats eco-region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -144.0966796875,\n 67.35678538806071\n ],\n [\n -149.996337890625,\n 66.58321725728175\n ],\n [\n -148.88671874999997,\n 65.49474141843486\n ],\n [\n -142.88818359375,\n 66.31986144668052\n ],\n [\n -144.0966796875,\n 67.35678538806071\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f63be4b0bc0bec0a1b3c","contributors":{"authors":[{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":570597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":570598,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005780,"text":"ds637 - 2011 - Alaska Geochemical Database (AGDB)-Geochemical data for rock, sediment, soil, mineral, and concentrate sample media","interactions":[],"lastModifiedDate":"2018-08-19T21:35:00","indexId":"ds637","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","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":"637","title":"Alaska Geochemical Database (AGDB)-Geochemical data for rock, sediment, soil, mineral, and concentrate sample media","docAbstract":"The Alaska Geochemical Database (AGDB) was created and designed to compile and integrate geochemical data from Alaska in order to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, environmental impact assessments, and studies in medical geology. This Microsoft Access database serves as a data archive in support of present and future Alaskan geologic and geochemical projects, and contains data tables describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 85 laboratory and field analytical methods on 264,095 rock, sediment, soil, mineral and heavy-mineral concentrate samples. Most samples were collected by U.S. Geological Survey (USGS) personnel and analyzed in USGS laboratories or, under contracts, in commercial analytical laboratories. These data represent analyses of samples collected as part of various USGS programs and projects from 1962 to 2009. In addition, mineralogical data from 18,138 nonmagnetic heavy mineral concentrate samples are included in this database. The AGDB includes historical geochemical data originally archived in the USGS Rock Analysis Storage System (RASS) database, used from the mid-1960s through the late 1980s and the USGS PLUTO database used from the mid-1970s through the mid-1990s. All of these data are currently maintained in the Oracle-based National Geochemical Database (NGDB). Retrievals from the NGDB were used to generate most of the AGDB data set. These data were checked for accuracy regarding sample location, sample media type, and analytical methods used. This arduous process of reviewing, verifying and, where necessary, editing all USGS geochemical data resulted in a significantly improved Alaska geochemical dataset. USGS data that were not previously in the NGDB because the data predate the earliest USGS geochemical databases, or were once excluded for programmatic reasons, are included here in the AGDB and will be added to the NGDB. The AGDB data provided here are the most accurate and complete to date, and should be useful for a wide variety of geochemical studies. The AGDB data provided in the linked database may be updated or changed periodically. The data on the DVD and in the data downloads provided with this report are current as of date of publication.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds637","collaboration":"This publication will be available on DVD at the USGS Online Store.","usgsCitation":"Granitto, M., Bailey, E.A., Schmidt, J.M., Shew, N.B., Gamble, B.M., and Labay, K., 2011, Alaska Geochemical Database (AGDB)-Geochemical data for rock, sediment, soil, mineral, and concentrate sample media: U.S. Geological Survey Data Series 637, iv, 11 p.; Appendices; Metadata files; Data files Download, https://doi.org/10.3133/ds637.","productDescription":"iv, 11 p.; Appendices; Metadata files; Data files Download","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116499,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_637.png"},{"id":94421,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/637/","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db6886f5","contributors":{"authors":[{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":353191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Elizabeth A.","contributorId":104005,"corporation":false,"usgs":true,"family":"Bailey","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Jeanine M. jschmidt@usgs.gov","contributorId":3138,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jeanine","email":"jschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":353192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":353193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamble, Bruce M. bgamble@usgs.gov","contributorId":560,"corporation":false,"usgs":true,"family":"Gamble","given":"Bruce","email":"bgamble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":353190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":353195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70005776,"text":"ofr20111262 - 2011 - Location and age of foraminifer samples examined by Chevron Petroleum Company paleontologists from more than 2,500 oil test wells in California","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20111262","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","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":"2011-1262","title":"Location and age of foraminifer samples examined by Chevron Petroleum Company paleontologists from more than 2,500 oil test wells in California","docAbstract":"Chevron Petroleum Company in 2001 donated an estimated 50,000 foraminifer slides, 5,000 well logs, geologic and surface locality maps, and paleontologic reports to the California Academy of Sciences and Stanford University for safekeeping, because they stopped or cut back exploration for petroleum deposits in California. The material was loaned to Earl Brabb temporarily so that information useful to the U.S. Geological Survey could be extracted. Among the estimated 5,000 well logs, more than 2,500 were printed on fragile Ozalid paper that had deteriorated by turning brown and hardening so that they could be easily damaged. These 2,516 well logs were scanned to provide a digital copy of the information. The 2,516 wells extend over an area from Eureka in Humboldt County south to the Imperial Valley and from the Pacific Ocean east to the eastern side of the Great Valley and the Los Angeles Basin. The wells are located in 410 7.5-minute quadrangle maps in 42 counties. The digital information herein preserves the data, makes the logs easily distributed to others interested in subsurface geology, and makes previously proprietary information widely available to the public for the first time.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111262","usgsCitation":"Brabb, E.E., 2011, Location and age of foraminifer samples examined by Chevron Petroleum Company paleontologists from more than 2,500 oil test wells in California: U.S. Geological Survey Open-File Report 2011-1262, iii, 4 p.; Readme TXT; Data Set 1 folder; Data Set 2 folder, https://doi.org/10.3133/ofr20111262.","productDescription":"iii, 4 p.; Readme TXT; Data Set 1 folder; Data Set 2 folder","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":116501,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1262.gif"},{"id":94423,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1262/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,33 ], [ -125,42 ], [ -115,42 ], [ -115,33 ], [ -125,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a68e4b07f02db63b763","contributors":{"authors":[{"text":"Brabb, Earl E.","contributorId":48939,"corporation":false,"usgs":true,"family":"Brabb","given":"Earl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353189,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005773,"text":"pp1784C - 2011 - Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska","interactions":[{"subject":{"id":70005773,"text":"pp1784C - 2011 - Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska","indexId":"pp1784C","publicationYear":"2011","noYear":false,"chapter":"C","title":"Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska"},"predicate":"IS_PART_OF","object":{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","indexId":"pp1784","publicationYear":"2011","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2010"},"id":1}],"isPartOf":{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","indexId":"pp1784","publicationYear":"2011","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2010"},"lastModifiedDate":"2018-11-01T15:22:11","indexId":"pp1784C","displayToPublicDate":"2011-10-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1784","chapter":"C","title":"Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska","docAbstract":"The Copper River Highway traverses a dynamic and complex network of braided and readily erodible channels that constitute the Copper River Delta, Alaska, by way of 11 bridges. Over the past decade, several of these bridges and the highway have sustained serious damage from both high and low flows and channel instability. This investigation studying the impact of channel migration on the highway incorporates data from scour monitoring, lidar surveys, bathymetry, hydrology, and time-lapse photography.\nThe distribution of the Copper River's discharge through the bridges was relatively stable until sometime between 1969-70 and 1982-85. The majority of the total Copper River discharge in 1969-70 passed through three bridges on the western side of the delta, but by 1982-1985, 25 to 62 percent of the flow passed through bridge 342 on the eastern side of the Copper River Delta. In 2004, only 8 percent of the flow passed through the western bridges, while 90 percent of the discharge flowed through two bridges on the eastern side of the delta. Migration of the river across the delta and redistribution of discharge has resulted in streambed scour at some bridges, overtopping of the road during high flows, prolonged highway closures, and formation of new channels through forests. Scour monitoring at the eastern bridges has recorded as much as 44 feet of fill at one pier and 33 feet of scour at another. In 2009, flow distribution began to shift from the larger bridge 342 to bridge 339. In 2010, flow in excess of four times the design discharge scoured the streambed at bridge 339 to a level such that constant on-site monitoring was required to evaluate the potential need for bridge closure. In 2010, instantaneous flow through bridge 339 was never less than 30 percent and was as high as 49 percent of the total Copper River discharge. The percentage of flow through bridge 339 decreased when the overall Copper River discharge increased. The increased discharge through bridge 339 is attributed to a shift in the approach channel 3,500 feet upstream. Bridge channel alignment and analysis of flow distribution as of October 2010 indicate these hydrologic hazards will persist in 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1784C","collaboration":"Studies by the U.S. Geological Survey in Alaska, 2010","usgsCitation":"Conaway, J.S., and Brabets, T.P., 2011, Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska: U.S. Geological Survey Professional Paper 1784, iv, 10 p.; Figures; Tables, https://doi.org/10.3133/pp1784C.","productDescription":"iv, 10 p.; Figures; Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":116497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1784_C.gif"},{"id":94419,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1784/c/","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4ee4","contributors":{"authors":[{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":353188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":353187,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005765,"text":"sir20115170 - 2011 - Bathymetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"sir20115170","displayToPublicDate":"2011-10-18T00:00:00","publicationYear":"2011","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":"2011-5170","title":"Bathymetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, 2010","docAbstract":"Bathymetric surveys were conducted by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, on the Missouri and Mississippi Rivers in the vicinity of 12 bridges at 7 highway crossings near St. Louis, Missouri, in October 2010. A multibeam echo sounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 3,280 to 4,590 feet long and extending across the active channel of the Missouri and Mississippi Rivers. These bathymetric scans provide a snapshot of the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be used by the Missouri Department of Transportation to assess the bridges for stability and integrity issues with respect to bridge scour.\nBathymetric data were collected around every pier that was in water, except those at the edge of water or in extremely shallow water, and one pier that was surrounded by a large debris raft. Scour holes were present at most piers for which bathymetry could be obtained, and ranged from 0 to 16 feet deep except at piers on channel banks or those near or embedded in rock dikes. Scour holes observed at the surveyed bridges were examined with respect to frontal slope and shape, and scour holes near railroad bridges in the vicinity of the highway bridges also were examined. Although exposure of parts of foundational support elements was observed at several piers, the exposure likely can be considered minimal compared to the overall substructure that remains buried at these piers.\nAt piers with well-defined scour holes, the frontal slopes of the holes ranged from 1.70 to 2.94 feet per foot (computed as run over rise), which were similar to recommended values in the literature (generally ranging from 1.0 to 2.0), and the shapes of the scour holes were not substantially affected by the movement of sand waves into the holes. Spur dikes near several of the piers caused localized flow disturbances that caused the resultant scour holes to display characteristics of skewed approach flow. The channel bed in the 2010 surveys was as much as 16 feet lower than the channel bed at the time of construction at the two oldest surveyed bridges, and the range varied with age of the structure, indicating the channel-bed elevations have lowered with time. However, other research has indicated the extremely dynamic nature of the channel bed on the Mississippi River.\nThe size of the scour holes observed at the surveyed sites likely was affected by the low to moderate flow conditions on the Missouri and Mississippi Rivers at the time of the surveys. The scour holes likely would be larger during conditions of increased flow. Artifacts of horizontal positioning errors were present in the data, but an analysis of the surveys indicated that most of the bathymetric data have a total propagated error of less than 0.33 foot.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115170","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2011, Bathymetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, 2010: U.S. Geological Survey Scientific Investigations Report 2011-5170, viii, 75 p., https://doi.org/10.3133/sir20115170.","productDescription":"viii, 75 p.","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":116495,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5170.jpg"},{"id":94414,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5170/","linkFileType":{"id":5,"text":"html"}}],"state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.66666666666667,38.416666666666664 ], [ -90.66666666666667,38.916666666666664 ], [ -90.08333333333333,38.916666666666664 ], [ -90.08333333333333,38.416666666666664 ], [ -90.66666666666667,38.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db635538","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353165,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}