Water resources data are published annually for use by engineers, scientists, managers, educators, and the general public. These archival products supplement direct access to current and historical water data provided by NWISWeb. Beginning with Water Year 2006, annual water data reports are available as individual electronic Site Data Sheets for the entire Nation for retrieval, download, and localized printing on demand. National distribution includes tabular and map interfaces for search, query, display and download of data. From 1962 until 2005, reports were published by State as paper documents, although most reports since the mid-1990s are also available in electronic form through this web page. Reports prior to 1962 were published in occasional USGS Water-Supply Papers and other reports.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdr2010","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Water-resources data for the United States: water year 2010: U.S. Geological Survey Water Data Report 2010, HTML Document, https://doi.org/10.3133/wdr2010.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":269341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wdr2010.jpg"},{"id":269339,"type":{"id":15,"text":"Index Page"},"url":"https://wdr.water.usgs.gov/wy2010/search.jsp","text":"Water-resources data for the United States Water Year 2010"},{"id":269340,"type":{"id":7,"text":"Companion Files"},"url":"https://wdr.water.usgs.gov/","text":"Annual Water Data Reports"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142f18ce4b073a963ff6625","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045899,"text":"70045899 - 2010 - Mineral resource of the month: lead","interactions":[],"lastModifiedDate":"2013-05-08T16:54:57","indexId":"70045899","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: lead","docAbstract":"The article discusses the properties and uses lead as a mineral resource. According to the author, lead is a corrosion-resistant, dense, ductile, and malleable blue-gray metal that has been used by humans for 5,000 years. Lead was first used in decorative, fixtures, roofs, pipes, and windows. The author says that lead is the fifth-most consumed metal based on tonnage after iron, aluminum, copper and zinc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Guberman, D.E., 2010, Mineral resource of the month: lead: Earth, v. 55, no. 11, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73eee4b0037667dbc871","contributors":{"authors":[{"text":"Guberman, David E. dguberman@usgs.gov","contributorId":2660,"corporation":false,"usgs":true,"family":"Guberman","given":"David","email":"dguberman@usgs.gov","middleInitial":"E.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":478504,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045102,"text":"70045102 - 2010 - Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","interactions":[],"lastModifiedDate":"2018-04-02T15:21:41","indexId":"70045102","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","docAbstract":"An airborne transient electromagnetic (TEM) survey was completed in the Upper San Pedro Basin in southeastern Arizona to map resistivity distributions within the alluvial aquifer. This investigation evaluated the utility of 1D vertical resistivity models of the TEM data to infer lithologic distributions in an alluvial aquifer. Comparisons of the resistivity values and layers in the 1D resistivity models of airborne TEM data to 1D resistivity models of ground TEM data, borehole resistivity logs, and lithologic descriptions in drill logs indicated that the airborne TEM identified thick conductive fine-grained sediments that result in semiconfined groundwater conditions. One-dimensional models of ground-based TEM surveys and subsurface lithology at three sites were used to determine starting models and constraints to invert airborne TEM data using a constrained Marquardt-styleunderparameterized method. A maximum structural resolution of six layers underlain by a half-space was determined from the resistivity structure of the 1D models of the ground TEM data. The 1D resistivity models of the airborne TEM data compared well with the control data to depths of approximately 100 m in areas of thick conductive silt and clay and to depths of 200 m in areas of resistive sand and gravel. Comparison of a 3D interpolation of the 1D resistivity models to drill logs indicated resistive (mean of 65 ohm-m ) coarse-grained sediments along basin margins and conductive (mean of 8 ohm-m ) fine-grained sediments at the basin center. Extents of hydrologically significant thick silt and clay were well mapped by the 1D resistivity models of airborne TEM data. Areas of uncertain lithology remain below conductive fine-grained sediments where the 1D resistivity structure is not resolved: in areas where multiple lithologies have similar resistivity values and in areas of high salinity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3464325","usgsCitation":"Dickinson, J.E., Pool, D.R., Groom, R., and Davis, L., 2010, Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys: Geophysics, v. 75, no. 4, p. WA149-WA161, https://doi.org/10.1190/1.3464325.","productDescription":"13 p.","startPage":"WA149","endPage":"WA161","ipdsId":"IP-014910","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":273425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273424,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3464325"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"75","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e4e4b01368e589e3d5","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, D. R.","contributorId":75581,"corporation":false,"usgs":true,"family":"Pool","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groom, R.W.","contributorId":59634,"corporation":false,"usgs":true,"family":"Groom","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":476799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, L.J.","contributorId":99454,"corporation":false,"usgs":true,"family":"Davis","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":476801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70045050,"text":"70045050 - 2010 - Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration","interactions":[],"lastModifiedDate":"2013-05-14T10:11:09","indexId":"70045050","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration","docAbstract":"Shallow rainfall-induced landslides commonly occur under conditions of transient infiltration into initially unsaturated soils. In an effort to predict the timing and location of such landslides, we developed a model of the infiltration process using a two-layer system that consists of an unsaturated zone above a saturated zone and implemented this model in a geographic information system (GIS) framework. The model links analytical solutions for transient, unsaturated, vertical infiltration above the water table to pressure-diffusion solutions for pressure changes below the water table. The solutions are coupled through a transient water table that rises as water accumulates at the base of the unsaturated zone. This scheme, though limited to simplified soil-water characteristics and moist initial conditions, greatly improves computational efficiency over numerical models in spatially distributed modeling applications. Pore pressures computed by these coupled models are subsequently used in one-dimensional slope-stability computations to estimate the timing and locations of slope failures. Applied over a digital landscape near Seattle, Washington, for an hourly rainfall history known to trigger shallow landslides, the model computes a factor of safety for each grid cell at any time during a rainstorm. The unsaturated layer attenuates and delays the rainfall-induced pore-pressure response of the model at depth, consistent with observations at an instrumented hillside near Edmonds, Washington. This attenuation results in realistic estimates of timing for the onset of slope instability (7 h earlier than observed landslides, on average). By considering the spatial distribution of physical properties, the model predicts the primary source areas of landslides.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2009JF001321","usgsCitation":"Baum, R.L., Godt, J.W., and Savage, W.Z., 2010, Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration: Journal of Geophysical Research F: Earth Surface, v. 115, no. F3, F03013, https://doi.org/10.1029/2009JF001321.","productDescription":"F03013","ipdsId":"IP-012858","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272206,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009JF001321"}],"volume":"115","issue":"F3","noUsgsAuthors":false,"publicationDate":"2010-07-31","publicationStatus":"PW","scienceBaseUri":"53cd5816e4b0b290850f7ddd","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savage, William Z.","contributorId":107686,"corporation":false,"usgs":true,"family":"Savage","given":"William","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":476695,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045912,"text":"70045912 - 2010 - Mineral resource of the month: platinum group metals","interactions":[],"lastModifiedDate":"2013-05-08T17:55:36","indexId":"70045912","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: platinum group metals","docAbstract":"The article focuses on platinum group metals (PGMs) and their properties. According to the author, PGMs, which include iridium, osmium, palladium, platinum, rhodium, and ruthenium, are among the rarest mineral commodities in the Earth's crust. PGMs are primarily used as catalytic converters that clean harmful exhaust from vehicle engines. They are also used in the chemical industry as catalysts in the production of nitric acid and in the petroleum refining industry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Loferski, P.J., 2010, Mineral resource of the month: platinum group metals: Earth, v. 55, no. 7, p. 28-29.","productDescription":"2 p.","startPage":"28","endPage":"29","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f0e4b0037667dbc88b","contributors":{"authors":[{"text":"Loferski, Patricia J. ploferski@usgs.gov","contributorId":4096,"corporation":false,"usgs":true,"family":"Loferski","given":"Patricia","email":"ploferski@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":478526,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045913,"text":"70045913 - 2010 - Mineral resource of the month: sulfur","interactions":[],"lastModifiedDate":"2013-05-08T17:58:13","indexId":"70045913","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: sulfur","docAbstract":"The article presents information on sulfur. Sulfur is said to be among the few solid elements found in elemental form in nature and has industrial uses. Changes in the sulfur production process over the years are discussed as well as the mining process developed by German engineer Herman Frasch that involves melting the sulfur underground and pumping it to the surface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Mineral resource of the month: sulfur: Earth, v. 55, no. 6, p. 26-27.","productDescription":"2 p.","startPage":"26","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f3e4b0037667dbc8a6","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044780,"text":"70044780 - 2010 - Exploration review","interactions":[],"lastModifiedDate":"2013-04-29T08:36:33","indexId":"70044780","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Exploration review","docAbstract":"This summary of international mineral exploration activities for the year 2009 draws upon information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on industry exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities by the mineral industry based upon these data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., and Bourget, M., 2010, Exploration review: Mining Engineering, v. 62, no. 5, p. 39-52.","productDescription":"14 p.","startPage":"39","endPage":"52","ipdsId":"IP-020844","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f9668e4b0e41721f7a34c","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":476305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourget, M.R.","contributorId":91000,"corporation":false,"usgs":true,"family":"Bourget","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":476304,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044779,"text":"70044779 - 2010 - Lithium","interactions":[],"lastModifiedDate":"2013-04-28T21:05:24","indexId":"70044779","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Lithium","docAbstract":"In 2009, lithium consumption in the United States was estimated to have been about 1.2 kt (1,300 st) of contained lithium, a 40-percent decrease from 2008. The United States was estimated to be the fourth largest consumer of lithium, and remained the leading importer of lithium carbonate and the leading producer of value-added lithium materials. Only one company, Chemetall Foote Corp. (a subsidiary of Chemetall GmbH of Germany), produced lithium compounds from domestic resources. In 2009, world lithium consumption was estimated to have been about 18.7 kt (20,600 st) of lithium contained in minerals and compounds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Jaskula, B., 2010, Lithium: Mining Engineering, v. 62, no. 6, p. 61-62.","productDescription":"2 p.","startPage":"61","endPage":"62","ipdsId":"IP-020788","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517e44ebe4b0eff6bc0031d1","contributors":{"authors":[{"text":"Jaskula, B.W.","contributorId":62496,"corporation":false,"usgs":true,"family":"Jaskula","given":"B.W.","affiliations":[],"preferred":false,"id":476303,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044778,"text":"70044778 - 2010 - Bromine","interactions":[],"lastModifiedDate":"2013-04-19T22:31:22","indexId":"70044778","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Bromine","docAbstract":"The entire U.S. production of bromine in 2009 came from underground brines in Arkansas, where it was the leading mineral commodity produced in terms of value. Two companies, Albermarle Corp. and Chemtura Corp., were responsible for bromine recovery. Worldwide, the United States is still the leading producer. However, U.S. dominance has decreased, as countries like China, Israel, Japan and Jordan have strengthened their positions as world producers of elemental bromine.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Apodaca, L.E., 2010, Bromine: Mining Engineering, v. 62, no. 6, p. 41-42.","productDescription":"2 p.","startPage":"41","endPage":"42","ipdsId":"IP-020419","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5172676ce4b0c173799e7953","contributors":{"authors":[{"text":"Apodaca, Lori E. lapodaca@usgs.gov","contributorId":1844,"corporation":false,"usgs":true,"family":"Apodaca","given":"Lori","email":"lapodaca@usgs.gov","middleInitial":"E.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476302,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044273,"text":"70044273 - 2010 - Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry","interactions":[],"lastModifiedDate":"2021-03-31T15:35:16.846487","indexId":"70044273","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry","title":"Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry","docAbstract":"Measurements of δ(13C) determined on CO2 with an isotope-ratio mass spectrometer (IRMS) must be corrected for the amount of 17O in the CO2. For data consistency, this must be done using identical methods by different laboratories. This report aims at unifying data treatment for CO2 IRMS by proposing (i) a unified set of numerical values, and (ii) a unified correction algorithm, based on a simple, linear approximation formula. Because the oxygen of natural CO2 is derived mostly from the global water pool, it is recommended that a value of 0.528 be employed for the factor λ, which relates differences in 17O and 18O abundances. With the currently accepted N(13C)/N(12C) of 0.011 180(28) in VPDB (Vienna Peedee belemnite) reevaluation of data yields a value of 0.000 393(1) for the oxygen isotope ratio N(17O)/N(16O) of the evolved CO2. The ratio of these quantities, a ratio of isotope ratios, is essential for the 17O abundance correction: [N(17O)/N(16O)]/[N(13C)/N(12C)] = 0.035 16(8). The equation [δ(13C) ≈ 45δVPDB-CO2 + 2 17R/13R (45δVPDB-CO2 – λ46δVPDB-CO2)] closely approximates δ(13C) values with less than 0.010 ‰ deviation for normal oxygen-bearing materials and no more than 0.026 ‰ in extreme cases. Other materials containing oxygen of non-mass-dependent isotope composition require a more specific data treatment. A similar linear approximation is also suggested for δ(18O). The linear approximations are easy to implement in a data spreadsheet, and also help in generating a simplified uncertainty budget.","language":"English","publisher":"IUPAC","publisherLocation":"Research Triangle Park, NC","doi":"10.1351/PAC-REP-09-01-05","usgsCitation":"Brand, W., Assonov, S.S., and Coplen, T.B., 2010, Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry: Pure and Applied Chemistry, v. 82, no. 8, p. 1719-1733, https://doi.org/10.1351/PAC-REP-09-01-05.","productDescription":"15 p.","startPage":"1719","endPage":"1733","ipdsId":"IP-010248","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":475469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1351/pac-rep-09-01-05","text":"Publisher Index Page"},{"id":271349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-05-26","publicationStatus":"PW","scienceBaseUri":"51765be5e4b0f989f99e00c8","contributors":{"authors":[{"text":"Brand, Willi A.","contributorId":38866,"corporation":false,"usgs":true,"family":"Brand","given":"Willi A.","affiliations":[],"preferred":false,"id":475226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assonov, Sergey S.","contributorId":13511,"corporation":false,"usgs":true,"family":"Assonov","given":"Sergey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":475225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":475224,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044771,"text":"70044771 - 2010 - Industrial garnet","interactions":[],"lastModifiedDate":"2013-04-27T19:43:50","indexId":"70044771","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Industrial garnet","docAbstract":"In 2009, U.S. production of crude garnet concentrate for industrial use was estimated to be 56.5 kt (62,300 st), valued at about $8.85 million. This was a 10-percent decrease in quantity compared with 2008 production. Refined garnet material sold or used was 28 kt (31,000 st) valued at $7.96 million.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Olson, D., 2010, Industrial garnet: Mining Engineering, v. 62, no. 6, p. 55-56.","productDescription":"2 p.","startPage":"55","endPage":"56","ipdsId":"IP-020642","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517cf372e4b0d8907b288227","contributors":{"authors":[{"text":"Olson, D.W.","contributorId":82369,"corporation":false,"usgs":true,"family":"Olson","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":476298,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044453,"text":"70044453 - 2010 - A proposed lexicon of terms and concepts for human-bear management in North America","interactions":[],"lastModifiedDate":"2013-04-09T23:47:48","indexId":"70044453","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"A proposed lexicon of terms and concepts for human-bear management in North America","docAbstract":"We believe that communication within and among agency personnel in the United States and Canada about the successes and failures of their human–bear (Ursidae) management programs will increase the effectiveness of these programs and of bear research. To communicate more effectively, we suggest agencies clearly define terms and concepts used in human–bear management and use them in a consistent manner. We constructed a human–bear management lexicon of terms and concepts using a modified Delphi method to provide a resource that facilitates more effective communication among human–bear management agencies. Specifically, we defined 40 terms and concepts in human–bear management and suggest definitions based on discussions with 13 other professionals from the United States and Canada. Although new terms and concepts will emerge in the future and definitions will evolve as we learn more about bear behavior and ecology, our purpose is to suggest working definitions for terms and concepts to help guide human–bear management and research activities in North America. Applications or revisions of these definitions may be useful outside of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ursus","publisherLocation":"http://www.bearbiology.com","doi":"10.2192/URSUS-D-10-00005.1","usgsCitation":"Hopkins, J.B., Herrero, S., Shideler, R.T., Gunther, K.A., Schwartz, C.C., and Kalinowski, S.T., 2010, A proposed lexicon of terms and concepts for human-bear management in North America: Ursus, v. 21, no. 2, p. 154-168, https://doi.org/10.2192/URSUS-D-10-00005.1.","productDescription":"15 p.","startPage":"154","endPage":"168","ipdsId":"IP-020665","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":270764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270763,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-10-00005.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"21","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5165385fe4b077fa94dadf57","contributors":{"authors":[{"text":"Hopkins, John B. III","contributorId":42112,"corporation":false,"usgs":true,"family":"Hopkins","given":"John","suffix":"III","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":475650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrero, Stephen","contributorId":39269,"corporation":false,"usgs":true,"family":"Herrero","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":475649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shideler, Richard T.","contributorId":7979,"corporation":false,"usgs":true,"family":"Shideler","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":475648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunther, Kerry A.","contributorId":84621,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5118,"text":"Yellowstone National Park, Yellowstone Center for Resources, Bear Management Office, P.O. Box 168, Yellowstone National Park, WY 82190","active":true,"usgs":false}],"preferred":false,"id":475653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":475651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalinowski, Steven T.","contributorId":78465,"corporation":false,"usgs":true,"family":"Kalinowski","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":475652,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70044774,"text":"70044774 - 2010 - Industrial diamond","interactions":[],"lastModifiedDate":"2013-04-27T19:50:15","indexId":"70044774","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Industrial diamond","docAbstract":"A general overview of the industrial diamond industry in 2009 is presented. Topics discussed are consumption, prices, imports and exports, government stockpiles, and the outlook for 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Olson, D., 2010, Industrial diamond: Mining Engineering, v. 62, no. 6, p. 54-55.","productDescription":"2 p.","startPage":"54","endPage":"55","ipdsId":"IP-020871","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517cf370e4b0d8907b288207","contributors":{"authors":[{"text":"Olson, D.W.","contributorId":82369,"corporation":false,"usgs":true,"family":"Olson","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":476300,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045705,"text":"70045705 - 2010 - Model-based evaluation of highly and low pathogenic avian influenza dynamics in wild birds","interactions":[],"lastModifiedDate":"2013-04-30T10:54:26","indexId":"70045705","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Model-based evaluation of highly and low pathogenic avian influenza dynamics in wild birds","docAbstract":"There is growing interest in avian influenza (AI) epidemiology to predict disease risk in wild and domestic birds, and prevent transmission to humans. However, understanding the epidemic dynamics of highly pathogenic (HPAI) viruses remains challenging because they have rarely been detected in wild birds. We used modeling to integrate available scientific information from laboratory and field studies, evaluate AI dynamics in individual hosts and waterfowl populations, and identify key areas for future research. We developed a Susceptible-Exposed-Infectious-Recovered (SEIR) model and used published laboratory challenge studies to estimate epidemiological parameters (rate of infection, latency period, recovery and mortality rates), considering the importance of age classes, and virus pathogenicity. Infectious contact leads to infection and virus shedding within 1–2 days, followed by relatively slower period for recovery or mortality. We found a shorter infectious period for HPAI than low pathogenic (LP) AI, which may explain that HPAI has been much harder to detect than LPAI during surveillance programs. Our model predicted a rapid LPAI epidemic curve, with a median duration of infection of 50–60 days and no fatalities. In contrast, HPAI dynamics had lower prevalence and higher mortality, especially in young birds. Based on field data from LPAI studies, our model suggests to increase surveillance for HPAI in post-breeding areas, because the presence of immunologically naïve young birds is predicted to cause higher HPAI prevalence and bird losses during this season. Our results indicate a better understanding of the transmission, infection, and immunity-related processes is required to refine predictions of AI risk and spread, improve surveillance for HPAI in wild birds, and develop disease control strategies to reduce potential transmission to domestic birds and/or humans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","usgsCitation":"Hénaux, V., Samuel, M.D., and Bunck, C.M., 2010, Model-based evaluation of highly and low pathogenic avian influenza dynamics in wild birds: PLoS ONE, v. 5, no. 6, e10997.","productDescription":"e10997","costCenters":[{"id":675,"text":"Wisconsin Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":271638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180e7e8e4b0df838b924d75","contributors":{"authors":[{"text":"Hénaux, Viviane","contributorId":47670,"corporation":false,"usgs":true,"family":"Hénaux","given":"Viviane","affiliations":[],"preferred":false,"id":478120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":478119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunck, Christine M. cbunck@usgs.gov","contributorId":731,"corporation":false,"usgs":true,"family":"Bunck","given":"Christine","email":"cbunck@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":478118,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043234,"text":"70043234 - 2010 - A procedure for radiometric recalibration of Landsat 5 TM reflective-band data","interactions":[],"lastModifiedDate":"2013-02-27T17:49:39","indexId":"70043234","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A procedure for radiometric recalibration of Landsat 5 TM reflective-band data","docAbstract":"From the Landsat program's inception in 1972 to the present, the Earth science user community has been benefiting from a historical record of remotely sensed data. The multispectral data from the Landsat 5 (L5) Thematic Mapper (TM) sensor provide the backbone for this extensive archive. Historically, the radiometric calibration procedure for the L5 TM imagery used the detectors' response to the internal calibrator (IC) on a scene-by-scene basis to determine the gain and offset for each detector. The IC system degraded with time, causing radiometric calibration errors up to 20%. In May 2003, the L5 TM data processed and distributed by the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center through the National Landsat Archive Production System (NLAPS) were updated to use a lifetime lookup-table (LUT) gain model to radiometrically calibrate TM data instead of using scene-specific IC gains. Further modification of the gain model was performed in 2007. The L5 TM data processed using IC prior to the calibration update do not benefit from the recent calibration revisions. A procedure has been developed to give users the ability to recalibrate their existing level-1 products. The best recalibration results are obtained if the work-order report that was included in the original standard data product delivery is available. However, if users do not have the original work-order report, the IC trends can be used for recalibration. The IC trends were generated using the radiometric gain trends recorded in the NLAPS database. This paper provides the details of the recalibration procedure for the following: 1) data processed using IC where users have the work-order file; 2) data processed using IC where users do not have the work-order file; 3) data processed using prelaunch calibration parameters; and 4) data processed using the previous version of the LUT (e.g., LUT03) that was released before April 2, 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2009.2026166","usgsCitation":"Chander, G., Haque, M., Micijevic, E., and Barsi, J., 2010, A procedure for radiometric recalibration of Landsat 5 TM reflective-band data: IEEE Transactions on Geoscience and Remote Sensing, v. 48, no. 1, p. 556-574, https://doi.org/10.1109/TGRS.2009.2026166.","productDescription":"19 p.","startPage":"556","endPage":"574","ipdsId":"IP-010187","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268395,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2009.2026166"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"512f38f3e4b0cad81a732d8e","contributors":{"authors":[{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":473203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, M.O. 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":73087,"corporation":false,"usgs":true,"family":"Haque","given":"M.O.","affiliations":[],"preferred":false,"id":473205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Micijevic, E. 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":59939,"corporation":false,"usgs":true,"family":"Micijevic","given":"E.","affiliations":[],"preferred":false,"id":473204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":473202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043675,"text":"70043675 - 2010 - Distribution of an invasive aquatic pathogen (viral hemorrhagic septicemia virus) in the Great Lakes and its relationship to shipping","interactions":[],"lastModifiedDate":"2013-05-02T13:59:46","indexId":"70043675","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of an invasive aquatic pathogen (viral hemorrhagic septicemia virus) in the Great Lakes and its relationship to shipping","docAbstract":"Viral hemorrhagic septicemia virus (VHSV) is a rhabdovirus found in fish from oceans of the northern hemisphere and freshwaters of Europe. It has caused extensive losses of cultured and wild fish and has become established in the North American Great Lakes. Large die-offs of wild fish in the Great Lakes due to VHSV have alarmed the public and provoked government attention on the introduction and spread of aquatic animal pathogens in freshwaters. We investigated the relations between VHSV dispersion and shipping and boating activity in the Great Lakes by sampling fish and water at sites that were commercial shipping harbors, recreational boating centers, and open shorelines. Fish and water samples were individually analyzed for VHSV using quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and cell culture assays. Of 1,221 fish of 17 species, 55 were VHSV positive with highly varied qRT-PCR titers (1 to 5,950,000 N gene copies). The detections of VHSV in fish and water samples were closely associated and the virus was detected in 21 of 30 sites sampled. The occurrence of VHSV was not related to type of site or shipping related invasion hotspots. Our results indicate that VHSV is widely dispersed in the Great Lakes and is both an enzootic and epizootic pathogen. We demonstrate that pathogen distribution information could be developed quickly and is clearly needed for aquatic ecosystem conservation, management of affected populations, and informed regulation of the worldwide trade of aquatic organisms.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0010156","usgsCitation":"Bain, M.B., Cornwell, E., Hope, K.M., Eckerlin, G.E., Casey, R.N., Groocock, G.H., Getchell, R.G., Bowser, P., Winton, J.R., Batts, W.N., Cangelosi, A., and Casey, J.W., 2010, Distribution of an invasive aquatic pathogen (viral hemorrhagic septicemia virus) in the Great Lakes and its relationship to shipping: PLoS ONE, v. 5, no. 4, e10156, https://doi.org/10.1371/journal.pone.0010156.","productDescription":"e10156","ipdsId":"IP-019986","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":475473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0010156","text":"Publisher Index Page"},{"id":271762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271761,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0010156"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.18 ], [ -92.11,49.1 ], [ -75.8,49.1 ], [ -75.8,41.18 ], [ -92.11,41.18 ] ] ] } } ] }","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-13","publicationStatus":"PW","scienceBaseUri":"51838ae4e4b0a21483941a83","contributors":{"authors":[{"text":"Bain, Mark B.","contributorId":10084,"corporation":false,"usgs":true,"family":"Bain","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":474027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornwell, Emily R.","contributorId":64526,"corporation":false,"usgs":true,"family":"Cornwell","given":"Emily R.","affiliations":[],"preferred":false,"id":474032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hope, Kristine M.","contributorId":66986,"corporation":false,"usgs":true,"family":"Hope","given":"Kristine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckerlin, Geofrey E.","contributorId":106771,"corporation":false,"usgs":true,"family":"Eckerlin","given":"Geofrey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, Rufina N.","contributorId":104364,"corporation":false,"usgs":true,"family":"Casey","given":"Rufina","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":474035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Groocock, Geoffrey H.","contributorId":13878,"corporation":false,"usgs":true,"family":"Groocock","given":"Geoffrey","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Getchell, Rodman G.","contributorId":32416,"corporation":false,"usgs":true,"family":"Getchell","given":"Rodman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bowser, Paul R.","contributorId":10391,"corporation":false,"usgs":true,"family":"Bowser","given":"Paul R.","affiliations":[],"preferred":false,"id":474028,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":474025,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":474026,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cangelosi, Allegra","contributorId":42506,"corporation":false,"usgs":true,"family":"Cangelosi","given":"Allegra","affiliations":[],"preferred":false,"id":474031,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Casey, James W.","contributorId":92941,"corporation":false,"usgs":true,"family":"Casey","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":474034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70046093,"text":"70046093 - 2010 - Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA","interactions":[],"lastModifiedDate":"2018-10-11T17:47:42","indexId":"70046093","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA","docAbstract":"A three-dimensional model of the aquifer system of the Eastern Shore of Virginia, USA was calibrated to reproduce historical water levels and forecast the potential for saltwater intrusion. Future scenarios were simulated with two pumping schemes to predict potential areas of saltwater intrusion. Simulations suggest that only a few wells would be threatened with detectable salinity increases before 2050. The objective was to examine whether salinity increases can be accurately forecast for individual wells with such a model, and to address what the challenges are in making such model forecasts given current (2009) simulation capabilities. The analysis suggests that even with current computer capabilities, accurate simulations of concentrations within a regional-scale (many km) transition zone are computationally prohibitive. The relative paucity of data that is typical for such regions relative to what is needed for accurate transport simulations suggests that even with an infinitely powerful computer, accurate forecasting for a single well would still be elusive. Useful approaches may include local-grid refinement near wells and geophysical surveys, but it is important to keep expectations for simulated forecasts at wells in line with chloride concentration and other data that can be obtained at that local scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0513-4","usgsCitation":"Sanford, W.E., and Pope, J.P., 2010, Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA: Hydrogeology Journal, v. 18, no. 1, p. 73-93, https://doi.org/10.1007/s10040-009-0513-4.","productDescription":"21 p.","startPage":"73","endPage":"93","ipdsId":"IP-011118","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":272784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-009-0513-4"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.5408 ], [ -83.6754,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -83.6754,36.5408 ] ] ] } } ] }","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-08-25","publicationStatus":"PW","scienceBaseUri":"51a08be0e4b0e42455806566","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046391,"text":"70046391 - 2010 - Functional linear models to test for differences in prairie wetland hydraulic gradients","interactions":[],"lastModifiedDate":"2013-06-11T10:30:49","indexId":"70046391","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Functional linear models to test for differences in prairie wetland hydraulic gradients","docAbstract":"Functional data analysis provides a framework for analyzing multiple time series measured frequently in time, treating each series as a continuous function of time. Functional linear models are used to test for effects on hydraulic gradient functional responses collected from three types of land use in Northeastern Montana at fourteen locations. Penalized regression-splines are used to estimate the underlying continuous functions based on the discretely recorded (over time) gradient measurements. Permutation methods are used to assess the statistical significance of effects. A method for accommodating missing observations in each time series is described. Hydraulic gradients may be an initial and fundamental ecosystem process that responds to climate change. We suggest other potential uses of these methods for detecting evidence of climate change.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Environmental Modelling and Software Society","publisherLocation":"Manno, Switzerland","usgsCitation":"Greenwood, M.C., Sojda, R.S., and Preston, T.M., 2010, Functional linear models to test for differences in prairie wetland hydraulic gradients, in 2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada, 8 p.","productDescription":"8 p.","ipdsId":"IP-020004","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":273587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273586,"type":{"id":11,"text":"Document"},"url":"https://www.iemss.org/iemss2010/papers/W01/W.01.02.Functional%20linear%20models%20to%20test%20for%20differences%20in%20prairie%20wetland%20hydraulic%20gradients%20-%20RICHARD%20S.%20SOJDA.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b846e7e4b03203c522b1d3","contributors":{"editors":[{"text":"Swayne, David A.","contributorId":111728,"corporation":false,"usgs":true,"family":"Swayne","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":509336,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Yang, Wanhong","contributorId":111437,"corporation":false,"usgs":true,"family":"Yang","given":"Wanhong","email":"","affiliations":[],"preferred":false,"id":509335,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Voinov, A.A.","contributorId":113598,"corporation":false,"usgs":true,"family":"Voinov","given":"A.A.","affiliations":[],"preferred":false,"id":509338,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rizzoli, A.","contributorId":113599,"corporation":false,"usgs":true,"family":"Rizzoli","given":"A.","affiliations":[],"preferred":false,"id":509339,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Filatova, T.","contributorId":112264,"corporation":false,"usgs":true,"family":"Filatova","given":"T.","email":"","affiliations":[],"preferred":false,"id":509337,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Greenwood, Mark C.","contributorId":87844,"corporation":false,"usgs":false,"family":"Greenwood","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":479604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479603,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042314,"text":"70042314 - 2010 - 230Th/U dating of a late Pleistocene alluvial fan along the southern San Andreas fault","interactions":[],"lastModifiedDate":"2020-09-24T17:44:17.008675","indexId":"70042314","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"230Th/U dating of a late Pleistocene alluvial fan along the southern San Andreas fault","title":"230Th/U dating of a late Pleistocene alluvial fan along the southern San Andreas fault","docAbstract":"U-series dating of pedogenic carbonate-clast coatings provides a reliable, precise minimum age of 45.1 ± 0.6 ka (2σ) for the T2 geomorphic surface of the Biskra Palms alluvial fan, Coachella Valley, California. Concordant ages for multiple subsamples from individual carbonate coatings provide evidence that the 238U-234U-230Th system has remained closed since carbonate formation. The U-series minimum age is used to assess previously published 10Be exposure ages of cobbles and boulders. All but one cobble age and some boulder 10Be ages are younger than the U-series minimum age, indicating that surface cobbles and some boulders were partially shielded after deposition of the fan and have been subsequently exhumed by erosion of fine-grained matrix to expose them on the present fan surface. A comparison of U-series and 10Be ages indicates that the interval between final alluvial deposition on the T2 fan surface and accumulation of dateable carbonate is not well resolved at Biskra Palms; however, the “time lag” inherent to dating via U-series on pedogenic carbonate can be no larger than ∼10 k.y., the uncertainty of the 10Be-derived age of the T2 fan surface. Dating of the T2 fan surface via U-series on pedogenic carbonate (minimum age, 45.1 ± 0.6 ka) and 10Be on boulder-top samples using forward modeling (preferred age, 50 ± 5 ka) provides broadly consistent constraints on the age of the fan surface and helps to elucidate its postdepositional development.","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B30018.1","usgsCitation":"Fletcher, K.E., Sharp, W.D., Kendrick, K.J., Behr, W.M., Hudnut, K.W., and Hanks, T.C., 2010, 230Th/U dating of a late Pleistocene alluvial fan along the southern San Andreas fault: GSA Bulletin, v. 122, no. 9-10, p. 1347-1359, https://doi.org/10.1130/B30018.1.","productDescription":"13 p.","startPage":"1347","endPage":"1359","ipdsId":"IP-012684","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":268372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.13510131835938,\n 33.46696235807553\n ],\n [\n -116.04995727539064,\n 33.58144708224173\n ],\n [\n -116.07879638671874,\n 33.65806700735442\n ],\n [\n -116.07879638671874,\n 33.720913019358676\n ],\n [\n -116.24633789062499,\n 33.863573814253485\n ],\n [\n -116.51550292968749,\n 34.00144280255186\n ],\n [\n -116.58416748046875,\n 33.99575015925125\n ],\n [\n -116.62399291992186,\n 33.93310591314123\n ],\n [\n -116.54434204101561,\n 33.84190469789482\n ],\n [\n -116.42074584960936,\n 33.78827853625996\n ],\n [\n -116.30538940429688,\n 33.71977077483141\n ],\n [\n -116.26419067382811,\n 33.610044573695646\n ],\n [\n -116.21612548828124,\n 33.571149664447326\n ],\n [\n -116.18453979492186,\n 33.52193393882357\n ],\n [\n -116.17218017578124,\n 33.49445251114959\n ],\n [\n -116.13510131835938,\n 33.46696235807553\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2010-05-10","publicationStatus":"PW","scienceBaseUri":"539a2a23e4b0a59b26497040","contributors":{"authors":[{"text":"Fletcher, Kathryn E.K.","contributorId":25050,"corporation":false,"usgs":true,"family":"Fletcher","given":"Kathryn","email":"","middleInitial":"E.K.","affiliations":[],"preferred":false,"id":471261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharp, Warren D.","contributorId":72272,"corporation":false,"usgs":true,"family":"Sharp","given":"Warren","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":471262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendrick, Katherine J. 0000-0002-9839-6861 kendrick@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-6861","contributorId":2716,"corporation":false,"usgs":true,"family":"Kendrick","given":"Katherine","email":"kendrick@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Behr, Whitney M.","contributorId":21040,"corporation":false,"usgs":true,"family":"Behr","given":"Whitney","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471259,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70042315,"text":"70042315 - 2010 - Low-altitude aerial color digital photographic survey of the San Andreas Fault","interactions":[],"lastModifiedDate":"2019-06-03T13:30:12","indexId":"70042315","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Low-altitude aerial color digital photographic survey of the San Andreas Fault","docAbstract":"Ever since 1858, when Gaspard-Félix Tournachon (pen name Félix Nadar) took the first aerial photograph (Professional Aerial Photographers Association 2009), the scientific value and popular appeal of such pictures have been widely recognized. Indeed, Nadar patented the idea of using aerial photographs in mapmaking and surveying. Since then, aerial imagery has flourished, eventually making the leap to space and to wavelengths outside the visible range. Yet until recently, the availability of such surveys has been limited to technical organizations with significant resources. Geolocation required extensive time and equipment, and distribution was costly and slow. While these situations still plague older surveys, modern digital photography and lidar systems acquire well-calibrated and easily shared imagery, although expensive, platform-specific software is sometimes still needed to manage and analyze the data. With current consumer-level electronics (cameras and computers) and broadband internet access, acquisition and distribution of large imaging data sets are now possible for virtually anyone. In this paper we demonstrate a simple, low-cost means of obtaining useful aerial imagery by reporting two new, high-resolution, low-cost, color digital photographic surveys of selected portions of the San Andreas fault in California. All pictures are in standard jpeg format. The first set of imagery covers a 92-km-long section of the fault in Kern and San Luis Obispo counties and includes the entire Carrizo Plain. The second covers the region from Lake of the Woods to Cajon Pass in Kern, Los Angeles, and San Bernardino counties (151 km) and includes Lone Pine Canyon soon after the ground was largely denuded by the Sheep Fire of October 2009. The first survey produced a total of 1,454 oblique digital photographs (4,288 x 2,848 pixels, average 6 Mb each) and the second produced 3,762 nadir images from an elevation of approximately 150 m above ground level (AGL) on the southeast leg and 300 m AGL on the northwest leg. Spatial resolution (pixel size or ground sample distance) is a few centimeters. Time and geographic coordinates of the aircraft were automatically written into the exchangeable image file format (EXIF) data within each jpeg photograph. A few hours after acquisition and validation, the photographs were uploaded to a publicly accessible Web page. The goal was to obtain quick-turnaround, low-cost, high-resolution, overlapping, and contiguous imagery for use in planning field operations, and to provide imagery for a wide variety of land use and educational studies. This work was carried out in support of ongoing geological research on the San Andreas fault, but the technique is widely applicable beyond geology.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SSA","doi":"10.1785/gssrl.81.3.453","usgsCitation":"Lynch, D.K., Hudnut, K.W., and Dearborn, D.S., 2010, Low-altitude aerial color digital photographic survey of the San Andreas Fault: Seismological Research Letters, v. 81, no. 3, p. 453-459, https://doi.org/10.1785/gssrl.81.3.453.","productDescription":"7 p.","startPage":"453","endPage":"459","ipdsId":"IP-018453","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":274098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274097,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/gssrl.81.3.453"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"81","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-05-13","publicationStatus":"PW","scienceBaseUri":"51c96a69e4b0a50a6e8f5825","contributors":{"authors":[{"text":"Lynch, David K.","contributorId":88600,"corporation":false,"usgs":true,"family":"Lynch","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":471265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":471263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dearborn, David S.P.","contributorId":27343,"corporation":false,"usgs":true,"family":"Dearborn","given":"David","email":"","middleInitial":"S.P.","affiliations":[],"preferred":false,"id":471264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045703,"text":"70045703 - 2010 - Prevalence of antibodies to type A influenza virus in wild avian species using two serologic assays","interactions":[],"lastModifiedDate":"2018-01-03T14:46:56","indexId":"70045703","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of antibodies to type A influenza virus in wild avian species using two serologic assays","docAbstract":"Serologic testing to detect antibodies to avian influenza (AI) virus has been an underused tool for the study of these viruses in wild bird populations, which traditionally has relied on virus isolation and reverse transcriptase-polymerase chain reaction (RT-PCR). In a preliminary study, a recently developed commercial blocking enzyme-linked immunosorbent assay (bELISA) had sensitivity and specificity estimates of 82% and 100%, respectively, for detection of antibodies to AI virus in multiple wild bird species after experimental infection. To further evaluate the efficacy of this commercial bELISA and the agar gel immunodiffusion (AGID) test for AI virus antibody detection in wild birds, we tested 2,249 serum samples collected from 62 wild bird species, representing 10 taxonomic orders. Overall, the bELISA detected 25.4% positive samples, whereas the AGID test detected 14.8%. At the species level, the bELISA detected as many or more positive serum samples than the AGID in all 62 avian species. The majority of positive samples, detected by both assays, were from species that use aquatic habitats, with the highest prevalence from species in the orders Anseriformes and Charadriiformes. Conversely, antibodies to AI virus were rarely detected in the terrestrial species. The serologic data yielded by both assays are consistent with the known epidemiology of AI virus in wild birds and published reports of host range based on virus isolation and RT-PCR. The results of this research are also consistent with the aforementioned study, which evaluated the performance of the bELISA and AGID test on experimental samples. Collectively, the data from these two studies indicate that the bELISA is a more sensitive serologic assay than the AGID test for detecting prior exposure to AI virus in wild birds. Based on these results, the bELISA is a reliable species-independent assay with potentially valuable applications for wild bird AI surveillance.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-46.3.896","usgsCitation":"Brown, J.D., Luttrell, M.P., Berghaus, R., Kistler, W., Keeler, S.P., Howey, A., Wilcox, B., Hall, J.S., Niles, L., Dey, A., Knutsen, G., Fritz, K., and Stallknecht, D.E., 2010, Prevalence of antibodies to type A influenza virus in wild avian species using two serologic assays: Journal of Wildlife Diseases, v. 46, no. 3, p. 896-911, https://doi.org/10.7589/0090-3558-46.3.896.","productDescription":"16 p.","startPage":"896","endPage":"911","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475474,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-46.3.896","text":"Publisher Index Page"},{"id":271637,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, California, Delaware, Georgia, Michigan, Minnesota, Mississippi, New Jersey, New York, North Carolina, Texas, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.6953125,\n 69.16255790810501\n ],\n [\n -165.05859375,\n 69.47296854140573\n ],\n [\n -158.02734375,\n 71.85622888185527\n ],\n [\n -141.15234374999997,\n 70.31873847853122\n ],\n [\n -139.921875,\n 61.01572481397616\n ],\n [\n -134.296875,\n 60.06484046010452\n ],\n [\n -128.32031249999997,\n 55.97379820507658\n ],\n [\n -129.55078125,\n 53.64463782485651\n ],\n [\n -132.1875,\n 54.36775852406841\n ],\n [\n -134.82421875,\n 54.470037612805754\n ],\n [\n -138.69140625,\n 58.53959476664049\n ],\n [\n -145.546875,\n 59.62332522313024\n ],\n [\n -152.9296875,\n 56.26776108757582\n ],\n [\n -168.92578125,\n 51.508742458803326\n ],\n [\n -179.47265625,\n 50.84757295365389\n ],\n [\n -178.06640625,\n 52.802761415419674\n ],\n [\n -171.03515625,\n 53.33087298301704\n ],\n [\n -159.2578125,\n 58.17070248348609\n ],\n [\n -163.4765625,\n 58.63121664342478\n ],\n [\n -165.76171875,\n 59.265880628258095\n ],\n [\n -168.3984375,\n 59.5343180010956\n ],\n [\n -168.3984375,\n 61.438767493682825\n ],\n [\n -166.2890625,\n 63.23362741232569\n ],\n [\n -170.15625,\n 62.67414334669093\n ],\n [\n -173.32031249999997,\n 63.54855223203644\n ],\n [\n -171.03515625,\n 64.0914075226231\n ],\n [\n -168.046875,\n 64.0914075226231\n ],\n [\n -168.92578125,\n 66.01801815922045\n ],\n [\n -166.11328125,\n 66.79190947341796\n ],\n [\n -168.046875,\n 68.26938680456564\n ],\n [\n -167.6953125,\n 69.16255790810501\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.89257812499999,\n 42.342305278572816\n ],\n [\n -79.87060546875,\n 41.934976500546604\n ],\n [\n -75.34423828125,\n 41.86956082699455\n ],\n [\n -75.08056640625,\n 41.42625319507272\n ],\n [\n -74.90478515625,\n 41.36031866306708\n ],\n [\n -75.30029296875,\n 40.81380923056961\n ],\n [\n -75.0146484375,\n 40.22921818870117\n ],\n [\n -75.60791015625,\n 39.926588421909436\n ],\n [\n -75.95947265625,\n 39.87601941962116\n ],\n [\n -75.9375,\n 38.496593518947556\n ],\n [\n -74.8828125,\n 38.35888785866677\n ],\n [\n -75.30029296875,\n 39.198205348894795\n ],\n [\n -74.92675781249999,\n 38.8225909761771\n ],\n [\n -74.02587890625,\n 39.605688178320804\n ],\n [\n -73.8720703125,\n 40.44694705960048\n ],\n [\n -71.71875,\n 41.0130657870063\n ],\n [\n -72.2021484375,\n 41.22824901518532\n ],\n [\n -73.30078125,\n 41.04621681452063\n ],\n [\n -73.388671875,\n 41.22824901518532\n ],\n [\n -73.14697265625,\n 42.81152174509788\n ],\n [\n -73.30078125,\n 45.120052841530516\n ],\n [\n -74.94873046875,\n 45.120052841530516\n ],\n [\n -76.0693359375,\n 44.512176171071054\n ],\n [\n -76.61865234374999,\n 44.213709909702054\n ],\n [\n -76.44287109375,\n 43.67581809328344\n ],\n [\n -77.47558593749999,\n 43.34116005412307\n ],\n [\n -77.9150390625,\n 43.46886761482925\n ],\n [\n -79.1455078125,\n 43.34116005412307\n ],\n [\n -79.1015625,\n 43.004647127794435\n ],\n [\n -78.9697265625,\n 42.827638636242284\n ],\n [\n -79.89257812499999,\n 42.342305278572816\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.42041015625,\n 39.487084981687495\n ],\n [\n -77.95898437499999,\n 39.2832938689385\n ],\n [\n -77.58544921874999,\n 39.436192999314095\n ],\n [\n -76.66259765625,\n 38.8225909761771\n ],\n [\n -76.4208984375,\n 38.11727165830543\n ],\n [\n -75.1025390625,\n 38.08268954483802\n ],\n [\n -75.87158203125,\n 37.055177106660814\n ],\n [\n -75.65185546874999,\n 36.491973470593685\n ],\n [\n -75.34423828125,\n 35.639441068973916\n ],\n [\n -75.234375,\n 35.04798673426734\n ],\n [\n -76.11328125,\n 34.70549341022544\n ],\n [\n -77.16796875,\n 34.21634468843465\n ],\n [\n -78.31054687499999,\n 33.63291573870476\n ],\n [\n -79.73876953125,\n 34.72355492704219\n ],\n [\n -80.9033203125,\n 34.813803317113155\n ],\n [\n -81.40869140625,\n 34.97600151317591\n ],\n [\n -82.37548828125,\n 35.06597313798418\n ],\n [\n -83.03466796874999,\n 34.88593094075317\n ],\n [\n -83.14453125,\n 34.66935854524543\n ],\n [\n -82.68310546875,\n 34.43409789359469\n ],\n [\n -82.30957031249999,\n 33.8339199536547\n ],\n [\n -81.80419921875,\n 33.55970664841198\n ],\n [\n -81.27685546875,\n 32.76880048488168\n ],\n [\n -80.9033203125,\n 32.15701248607008\n ],\n [\n -80.74951171875,\n 31.952162238024975\n ],\n [\n -81.10107421874999,\n 31.372399104880525\n ],\n [\n -81.34277343749999,\n 30.58117925738696\n ],\n [\n -81.82617187499999,\n 30.675715404167743\n ],\n [\n -81.93603515625,\n 30.259067203213018\n ],\n [\n -82.353515625,\n 30.29701788337205\n ],\n [\n -82.353515625,\n 30.50548389892728\n ],\n [\n -84.990234375,\n 30.600093873550072\n ],\n [\n -85.166015625,\n 30.996445897426373\n ],\n [\n -85.31982421875,\n 31.728167146023935\n ],\n [\n -85.1220703125,\n 32.342841356393045\n ],\n [\n -85.71533203125,\n 35.06597313798418\n ],\n [\n -84.48486328124999,\n 35.137879119634185\n ],\n [\n -84.19921875,\n 35.51434313431818\n ],\n [\n -83.3203125,\n 35.782170703266075\n ],\n [\n -82.46337890625,\n 36.29741818650811\n ],\n [\n -82.02392578125,\n 36.38591277287651\n ],\n [\n -82.08984375,\n 36.56260003738548\n ],\n [\n -83.95751953125,\n 36.56260003738548\n ],\n [\n -83.29833984375,\n 36.84446074079564\n ],\n [\n -82.68310546875,\n 37.3002752813443\n ],\n [\n -81.93603515625,\n 37.64903402157866\n ],\n [\n -81.62841796875,\n 37.42252593456307\n ],\n [\n -80.9033203125,\n 37.50972584293751\n ],\n [\n -80.2880859375,\n 37.82280243352756\n ],\n [\n -79.78271484375,\n 38.70265930723801\n ],\n [\n -79.40917968749999,\n 38.70265930723801\n ],\n [\n -78.64013671875,\n 39.13006024213511\n ],\n [\n -78.42041015625,\n 39.487084981687495\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.50537109375,\n 35.06597313798418\n ],\n [\n -87.978515625,\n 35.08395557927643\n ],\n [\n -88.26416015625,\n 30.183121842195515\n ],\n [\n -89.71435546875,\n 30.05007652169871\n ],\n [\n -89.9560546875,\n 30.86451022625836\n ],\n [\n -91.82373046875,\n 30.92107637538488\n ],\n [\n -91.60400390625,\n 31.89621446335144\n ],\n [\n -91.23046875,\n 32.2313896627376\n ],\n [\n -91.42822265625,\n 33.33970700424026\n ],\n [\n -90.50537109375,\n 35.06597313798418\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.90185546874999,\n 41.72213058512578\n ],\n [\n -83.408203125,\n 41.60722821271717\n ],\n [\n -82.177734375,\n 43.14909399920127\n ],\n [\n -82.72705078125,\n 44.213709909702054\n ],\n [\n -83.34228515625,\n 45.44471679159555\n ],\n [\n -83.8916015625,\n 45.89000815866184\n ],\n [\n -83.84765625,\n 46.22545288226939\n ],\n [\n -84.96826171874999,\n 46.830133640447386\n ],\n [\n -86.8359375,\n 46.73986059969267\n ],\n [\n -87.9345703125,\n 47.08508535995384\n ],\n [\n -87.47314453125,\n 47.45780853075031\n ],\n [\n -88.39599609375,\n 48.23930899024905\n ],\n [\n -89.14306640625,\n 48.122101028190805\n ],\n [\n -89.67041015625,\n 48.04870994288686\n ],\n [\n -90.615234375,\n 48.3416461723746\n ],\n [\n -91.62597656249999,\n 48.356249029540706\n ],\n [\n -93.2080078125,\n 48.83579746243093\n ],\n [\n -94.130859375,\n 48.864714761802794\n ],\n [\n -94.94384765625,\n 49.52520834197442\n ],\n [\n -95.29541015625,\n 49.453842594330744\n ],\n [\n -95.29541015625,\n 49.06666839558117\n ],\n [\n -97.49267578125,\n 49.10983779052439\n ],\n [\n -97.27294921875,\n 47.931066347509784\n ],\n [\n -96.70166015624999,\n 46.057985244793024\n ],\n [\n -96.9873046875,\n 45.598665689820656\n ],\n [\n -96.591796875,\n 45.259422036351694\n ],\n [\n -96.56982421875,\n 43.40504748787035\n ],\n [\n -91.03271484375,\n 43.40504748787035\n ],\n [\n -91.2744140625,\n 44.008620115415354\n ],\n [\n -92.17529296875,\n 44.5278427984555\n ],\n [\n -92.63671875,\n 44.91813929958515\n ],\n [\n -92.63671875,\n 45.767522962149904\n ],\n [\n -92.17529296875,\n 46.027481852486645\n ],\n [\n -92.1533203125,\n 46.70973594407157\n ],\n [\n -89.736328125,\n 47.87214396888731\n ],\n [\n -89.05517578125,\n 47.76886840424207\n ],\n [\n -90.37353515625,\n 46.63435070293566\n ],\n [\n -90.28564453124999,\n 46.37725420510028\n ],\n [\n -88.9453125,\n 45.98169518512228\n ],\n [\n -88.154296875,\n 45.84410779560204\n ],\n [\n -87.95654296875,\n 45.598665689820656\n ],\n [\n -87.86865234374999,\n 45.166547157856016\n ],\n [\n -87.78076171875,\n 44.96479793033104\n ],\n [\n -87.51708984375,\n 45.089035564831036\n ],\n [\n -87.099609375,\n 45.537136680398596\n ],\n [\n -86.5283203125,\n 45.5679096098613\n ],\n [\n -85.7373046875,\n 45.72152152227954\n ],\n [\n -86.28662109375,\n 44.94924926661153\n ],\n [\n -86.41845703124999,\n 44.32384807250689\n ],\n [\n -86.63818359375,\n 44.02442151965934\n ],\n [\n -86.572265625,\n 43.229195113965005\n ],\n [\n -86.484375,\n 42.779275360241904\n ],\n [\n -86.50634765625,\n 42.35854391749705\n ],\n [\n -86.90185546874999,\n 41.72213058512578\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.875,\n 32.175612478499325\n ],\n [\n -103.35937499999999,\n 32.24997445586331\n ],\n [\n -103.35937499999999,\n 36.66841891894786\n ],\n [\n -99.7119140625,\n 36.73888412439431\n ],\n [\n -99.6240234375,\n 34.70549341022544\n ],\n [\n -94.0869140625,\n 34.016241889667015\n ],\n [\n -93.7353515625,\n 33.247875947924385\n ],\n [\n -93.33984375,\n 29.878755346037977\n ],\n [\n -93.33984375,\n 29.22889003019423\n ],\n [\n -94.7021484375,\n 28.767659105691255\n ],\n [\n -96.591796875,\n 27.566721430409707\n ],\n [\n -96.6357421875,\n 25.760319754713887\n ],\n [\n -98.6572265625,\n 25.720735134412106\n ],\n [\n -100.0634765625,\n 27.01998400798257\n ],\n [\n -101.4697265625,\n 29.305561325527698\n ],\n [\n -103.53515625,\n 28.767659105691255\n ],\n [\n -105.8203125,\n 30.751277776257812\n ],\n [\n -106.962890625,\n 31.840232667909365\n ],\n [\n -106.875,\n 32.175612478499325\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.541015625,\n 42.06560675405716\n ],\n [\n -119.83886718750001,\n 42.22851735620852\n ],\n [\n -119.61914062499999,\n 39.198205348894795\n ],\n [\n -114.345703125,\n 35.17380831799959\n ],\n [\n -113.818359375,\n 34.016241889667015\n ],\n [\n -114.12597656249999,\n 32.91648534731439\n ],\n [\n -114.697265625,\n 32.47269502206151\n ],\n [\n -117.2900390625,\n 32.24997445586331\n ],\n [\n -118.38867187500001,\n 33.54139466898275\n ],\n [\n -120.62988281249999,\n 33.43144133557529\n ],\n [\n -121.1572265625,\n 34.52466147177172\n ],\n [\n -120.9814453125,\n 35.06597313798418\n ],\n [\n -122.4755859375,\n 36.73888412439431\n ],\n [\n -123.134765625,\n 37.996162679728116\n ],\n [\n -124.1015625,\n 38.95940879245423\n ],\n [\n -124.71679687499999,\n 40.44694705960048\n ],\n [\n -124.541015625,\n 42.06560675405716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180e7eae4b0df838b924d8c","contributors":{"authors":[{"text":"Brown, Justin D.","contributorId":87838,"corporation":false,"usgs":false,"family":"Brown","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":478110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luttrell, M. Page","contributorId":23378,"corporation":false,"usgs":true,"family":"Luttrell","given":"M.","email":"","middleInitial":"Page","affiliations":[],"preferred":false,"id":478103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berghaus, Roy D.","contributorId":19862,"corporation":false,"usgs":true,"family":"Berghaus","given":"Roy D.","affiliations":[],"preferred":false,"id":478101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kistler, Whitney","contributorId":7591,"corporation":false,"usgs":true,"family":"Kistler","given":"Whitney","email":"","affiliations":[],"preferred":false,"id":478100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keeler, Shamus P.","contributorId":42118,"corporation":false,"usgs":true,"family":"Keeler","given":"Shamus","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":478107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howey, Andrea","contributorId":66572,"corporation":false,"usgs":true,"family":"Howey","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":478108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilcox, Benjamin","contributorId":30890,"corporation":false,"usgs":true,"family":"Wilcox","given":"Benjamin","affiliations":[],"preferred":false,"id":478104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":478112,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Niles, Larry","contributorId":94189,"corporation":false,"usgs":true,"family":"Niles","given":"Larry","email":"","affiliations":[],"preferred":false,"id":478111,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dey, Amanda","contributorId":38451,"corporation":false,"usgs":true,"family":"Dey","given":"Amanda","affiliations":[],"preferred":false,"id":478105,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knutsen, Gregory","contributorId":76203,"corporation":false,"usgs":true,"family":"Knutsen","given":"Gregory","affiliations":[],"preferred":false,"id":478109,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fritz, Kristen","contributorId":40105,"corporation":false,"usgs":true,"family":"Fritz","given":"Kristen","email":"","affiliations":[],"preferred":false,"id":478106,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":478102,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70044408,"text":"70044408 - 2010 - Chemical fractionation of Cu and Zn in stormwater, roadway dust and stormwater pond sediments","interactions":[],"lastModifiedDate":"2018-10-10T10:44:19","indexId":"70044408","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Chemical fractionation of Cu and Zn in stormwater, roadway dust and stormwater pond sediments","docAbstract":"This study evaluated the chemical fractionation of Cu and Zn from source to deposition in a stormwater system. Cu and Zn concentrations and chemical fractionation were determined for roadway dust, roadway runoff and pond sediments. Stormwater Cu and Zn concentrations were used to generate cumulative frequency distributions to characterize potential exposure to pond-dwelling organisms. Dissolved stormwater Zn exceeded USEPA acute and chronic water quality criteria in approximately 20% of storm samples and 20% of the storm duration sampled. Dissolved Cu exceeded the previously published chronic criterion in 75% of storm samples and duration and exceeded the acute criterion in 45% of samples and duration. The majority of sediment Cu (92–98%) occurred in the most recalcitrant phase, suggesting low bioavailability; Zn was substantially more available (39–62% recalcitrant). Most sediment concentrations for Cu and Zn exceeded published threshold effect concentrations and Zn often exceeded probable effect concentrations in surface sediments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.envpol.2010.02.024","usgsCitation":"Camponelli, K.M., Lev, S.M., Snodgrass, J.W., Landa, E.R., and Casey, R.E., 2010, Chemical fractionation of Cu and Zn in stormwater, roadway dust and stormwater pond sediments: Environmental Pollution, v. 158, no. 6, p. 2143-2149, https://doi.org/10.1016/j.envpol.2010.02.024.","productDescription":"7 p.","startPage":"2143","endPage":"2149","ipdsId":"IP-016905","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":271303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"158","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e4e4b0e619a5806ed2","contributors":{"authors":[{"text":"Camponelli, Kimberly M.","contributorId":18649,"corporation":false,"usgs":true,"family":"Camponelli","given":"Kimberly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lev, Steven M.","contributorId":28880,"corporation":false,"usgs":true,"family":"Lev","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snodgrass, Joel W.","contributorId":61318,"corporation":false,"usgs":true,"family":"Snodgrass","given":"Joel","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":475535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landa, Edward R. erlanda@usgs.gov","contributorId":2112,"corporation":false,"usgs":true,"family":"Landa","given":"Edward","email":"erlanda@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":475532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, Ryan E.","contributorId":85485,"corporation":false,"usgs":true,"family":"Casey","given":"Ryan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475536,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}