{"pageNumber":"788","pageRowStart":"19675","pageSize":"25","recordCount":46706,"records":[{"id":70034690,"text":"70034690 - 2009 - Sources of uncertainty in flood inundation maps","interactions":[],"lastModifiedDate":"2014-07-08T15:42:25","indexId":"70034690","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2289,"text":"Journal of Flood Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Sources of uncertainty in flood inundation maps","docAbstract":"Flood inundation maps typically have been used to depict inundated areas for floods having specific exceedance levels. The uncertainty associated with the inundation boundaries is seldom quantified, in part, because all of the sources of uncertainty are not recognized and because data available to quantify uncertainty seldom are available. Sources of uncertainty discussed in this paper include hydrologic data used for hydraulic model development and validation, topographic data, and the hydraulic model. The assumption of steady flow, which typically is made to produce inundation maps, has less of an effect on predicted inundation at lower flows than for higher flows because more time typically is required to inundate areas at high flows than at low flows. Difficulties with establishing reasonable cross sections that do not intersect and that represent water-surface slopes in tributaries contribute additional uncertainties in the hydraulic modelling. As a result, uncertainty in the flood inundation polygons simulated with a one-dimensional model increases with distance from the main channel.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Flood Risk Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley-Blackwell Publishing Ltd.","publisherLocation":"Oxford, England","doi":"10.1111/j.1753-318X.2009.01029.x","usgsCitation":"Bales, J., and Wagner, C.R., 2009, Sources of uncertainty in flood inundation maps: Journal of Flood Risk Management, v. 2, no. 2, p. 139-147, https://doi.org/10.1111/j.1753-318X.2009.01029.x.","productDescription":"9 p.","startPage":"139","endPage":"147","numberOfPages":"9","costCenters":[],"links":[{"id":476446,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1753-318x.2009.01029.x","text":"Publisher Index Page"},{"id":215601,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1753-318X.2009.01029.x"},{"id":243415,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-05-26","publicationStatus":"PW","scienceBaseUri":"505b9397e4b08c986b31a59d","contributors":{"authors":[{"text":"Bales, J. D.","contributorId":21569,"corporation":false,"usgs":true,"family":"Bales","given":"J. D.","affiliations":[],"preferred":false,"id":447051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, C. R.","contributorId":102881,"corporation":false,"usgs":true,"family":"Wagner","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":447052,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035383,"text":"70035383 - 2009 - Postimpact heat conduction and compaction-driven fluid flow in the Chesapeake Bay impact structure based on downhole vitrinite reflectance data, ICDP-USGS Eyreville deep core holes and Cape Charles test holes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035383","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Postimpact heat conduction and compaction-driven fluid flow in the Chesapeake Bay impact structure based on downhole vitrinite reflectance data, ICDP-USGS Eyreville deep core holes and Cape Charles test holes","docAbstract":"Vitrinite reflectance data from the International Continental Scientific Drilling Program (ICDP)-U.S. Geological Survey (USGS) Eyreville deep cores in the centralcrater moat of the Chesapeake Bay impact structure and the Cape Charles test holes on the central uplift show patterns of postimpact maximum-temperature distribution that result from a combination of conductive and advective heat flow. Within the crater-fill sediment-clast breccia sequence at Eyreville, an isoreflectance (-0.44% Ro) section (525-1096 m depth) is higher than modeled background coastal-plain maturity and shows a pattern typical of advective fluid flow. Below an intervening granite slab, a short interval of sediment-clast breccia (1371-1397 m) shows a sharp increase in reflectance (0.47%-0.91% Ro) caused by conductive heat from the underlying suevite (1397-1474 m). Refl ectance data in the uppermost suevite range from 1.2% to 2.1% Ro. However, heat conduction alone is not sufficient to affect the temperature of sediments more than 100 m above the suevite. Thermal modeling of the Eyreville suevite as a 390 ??C cooling sill-like hot rock layer supplemented by compaction- driven vertical fluid flow (0.046 m/a) of cooling suevitic fluids and deeper basement brines (120 ??C) upward through the sediment breccias closely reproduces the measured reflectance data. This scenario would also replace any marine water trapped in the crater fill with more saline brine, similar to that currently in the crater, and it would produce temperatures sufficient to kill microbes in sediment breccias within 450 m above the synimsuevite. A similar downhole maturity pattern is present in the sediment-clast breccia over the central uplift. High-reflectance (5%-9%) black shale and siltstone clasts in the suevite and sediment-clast breccia record a pre-impact (Paleozoic?) metamorphic event. Previously published maturity data in the annular trough indicate no thermal effect there from impact-related processes. ?? 2009 The Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Special Paper of the Geological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/2009.2458(38)","issn":"00721077","usgsCitation":"Malinconico, M., Sanford, W., and Wright, H.W., 2009, Postimpact heat conduction and compaction-driven fluid flow in the Chesapeake Bay impact structure based on downhole vitrinite reflectance data, ICDP-USGS Eyreville deep core holes and Cape Charles test holes: Special Paper of the Geological Society of America, no. 458, p. 905-930, https://doi.org/10.1130/2009.2458(38).","startPage":"905","endPage":"930","numberOfPages":"26","costCenters":[],"links":[{"id":215496,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2009.2458(38)"},{"id":243306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"458","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7e92e4b0c8380cd7a604","contributors":{"authors":[{"text":"Malinconico, M.L.","contributorId":10689,"corporation":false,"usgs":true,"family":"Malinconico","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":450398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, W. E. 0000-0002-6624-0280","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":102112,"corporation":false,"usgs":true,"family":"Sanford","given":"W. E.","affiliations":[],"preferred":false,"id":450400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Horton W.J.J. Jr.","contributorId":87428,"corporation":false,"usgs":true,"family":"Wright","given":"Horton","suffix":"Jr.","email":"","middleInitial":"W.J.J.","affiliations":[],"preferred":false,"id":450399,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032459,"text":"70032459 - 2009 - Titan's surface at 2.2-cm wavelength imaged by the Cassini RADAR radiometer: Calibration and first results","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032459","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Titan's surface at 2.2-cm wavelength imaged by the Cassini RADAR radiometer: Calibration and first results","docAbstract":"The first comprehensive calibration and mapping of the thermal microwave emission from Titan's surface is reported based on radiometric data obtained at 2.2-cm wavelength by the passive radiometer included in the Cassini Radar instrument. The data reported were accumulated from 69 separate observational segments in Titan passes from Ta (October 2004) through T30 (May 2007) and include emission from 94% of Titan's surface. They are diverse in the key observing parameters of emission angle, polarization, and spatial resolution, and their reduction into calibrated global mosaic maps involved several steps. Analysis of the polarimetry obtained at low to moderate resolution (50+ km) enabled integration of the radiometry into a single mosaic of the equivalent brightness temperature at normal incidence with a relative precision of about 1 K. The Huygens probe measurement of Titan's surface temperature and radiometry obtained on Titan's dune fields allowed us to infer an absolute calibration estimated to be accurate to a level approaching 1 K. The results provide evidence for a surface that is complex and varied on large scales. The radiometry primarily constrains physical properties of the surface, where we see strong evidence for subsurface (volume) scattering as a dominant mechanism that determines the emissivity, with the possibility of a fluffy or graded-density surface layer in many regions. The results are consistent with, but not necessarily definitive of a surface composition resulting from the slow deposition and processing of organic compounds from the atmosphere. ?? 2008 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2008.10.017","issn":"00191","usgsCitation":"Janssen, M., Lorenz, R.D., West, R., Paganelli, F., Lopes, R., Kirk, R.L., Elachi, C., Wall, S.D., Johnson, W., Anderson, Y., Boehmer, R., Callahan, P., Gim, Y., Hamilton, G., Kelleher, K., Roth, L., Stiles, B., and Le, G.A., 2009, Titan's surface at 2.2-cm wavelength imaged by the Cassini RADAR radiometer: Calibration and first results: Icarus, v. 200, no. 1, p. 222-239, https://doi.org/10.1016/j.icarus.2008.10.017.","startPage":"222","endPage":"239","numberOfPages":"18","costCenters":[],"links":[{"id":213882,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2008.10.017"},{"id":241548,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"200","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb41de4b08c986b3261b3","contributors":{"authors":[{"text":"Janssen, M.A.","contributorId":28345,"corporation":false,"usgs":true,"family":"Janssen","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":436267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, R. D.","contributorId":90441,"corporation":false,"usgs":false,"family":"Lorenz","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":436277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, R.","contributorId":26996,"corporation":false,"usgs":true,"family":"West","given":"R.","email":"","affiliations":[],"preferred":false,"id":436265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paganelli, F.","contributorId":17353,"corporation":false,"usgs":true,"family":"Paganelli","given":"F.","email":"","affiliations":[],"preferred":false,"id":436263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopes, R.M.","contributorId":56444,"corporation":false,"usgs":true,"family":"Lopes","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":436269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirk, R. L.","contributorId":94698,"corporation":false,"usgs":true,"family":"Kirk","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":436278,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elachi, C.","contributorId":104606,"corporation":false,"usgs":false,"family":"Elachi","given":"C.","affiliations":[],"preferred":false,"id":436279,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wall, S. D.","contributorId":86468,"corporation":false,"usgs":false,"family":"Wall","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":436275,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, W.T.K.","contributorId":27174,"corporation":false,"usgs":true,"family":"Johnson","given":"W.T.K.","email":"","affiliations":[],"preferred":false,"id":436266,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Anderson, Y.","contributorId":60369,"corporation":false,"usgs":true,"family":"Anderson","given":"Y.","email":"","affiliations":[],"preferred":false,"id":436272,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Boehmer, R.A.","contributorId":59254,"corporation":false,"usgs":true,"family":"Boehmer","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":436270,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Callahan, P.","contributorId":22889,"corporation":false,"usgs":true,"family":"Callahan","given":"P.","email":"","affiliations":[],"preferred":false,"id":436264,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gim, Y.","contributorId":14934,"corporation":false,"usgs":true,"family":"Gim","given":"Y.","affiliations":[],"preferred":false,"id":436262,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hamilton, G.A.","contributorId":88963,"corporation":false,"usgs":true,"family":"Hamilton","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":436276,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kelleher, K.D.","contributorId":67739,"corporation":false,"usgs":true,"family":"Kelleher","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":436273,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Roth, L.","contributorId":70978,"corporation":false,"usgs":true,"family":"Roth","given":"L.","email":"","affiliations":[],"preferred":false,"id":436274,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stiles, B.","contributorId":59547,"corporation":false,"usgs":true,"family":"Stiles","given":"B.","email":"","affiliations":[],"preferred":false,"id":436271,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Le, Gall A.","contributorId":36764,"corporation":false,"usgs":true,"family":"Le","given":"Gall","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":436268,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70035004,"text":"70035004 - 2009 - Acoustic estimates of abundance and distribution of spawning lake trout on Sheboygan Reef in Lake Michigan","interactions":[],"lastModifiedDate":"2012-12-19T14:15:36","indexId":"70035004","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic estimates of abundance and distribution of spawning lake trout on Sheboygan Reef in Lake Michigan","docAbstract":"Efforts to restore self-sustaining lake trout (<i>Salvelinus namaycush</i>) populations in the Laurentian Great Lakes have had widespread success in Lake Superior; but in other Great Lakes, populations of lake trout are maintained by stocking. Recruitment bottlenecks may be present at a number of stages of the reproduction process. To study eggs and fry, it is necessary to identify spawning locations, which is difficult in deep water. Acoustic sampling can be used to rapidly locate aggregations of fish (like spawning lake trout), describe their distribution, and estimate their abundance. To assess these capabilities for application to lake trout, we conducted an acoustic survey covering 22 km<sup>2</sup> at Sheboygan Reef, a deep reef (&lt;40 m summit) in southern Lake Michigan during fall 2005. Data collected with remotely operated vehicles (ROV) confirmed that fish were large lake trout, that lake trout were 1&ndash;2 m above bottom, and that spawning took place over specific habitat. Lake trout density exhibited a high degree of spatial structure (autocorrelation) up to a range of ~190 m, and highest lake trout and egg densities occurred over rough substrates (rubble and cobble) at the shallowest depths sampled (36&ndash;42 m). Mean lake trout density in the area surveyed (~2190 ha) was 5.8 fish/ha and the area surveyed contained an estimated 9500&ndash;16,000 large lake trout. Spatial aggregation in lake trout densities, similarity of depths and substrates at which high lake trout and egg densities occurred, and relatively low uncertainty in the lake trout density estimate indicate that acoustic sampling can be a useful complement to other sampling tools used in lake trout restoration research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jglr.2008.11.005","issn":"03801330","usgsCitation":"Warner, D., Claramunt, R., Janssen, J., Jude, D., and Wattrus, N., 2009, Acoustic estimates of abundance and distribution of spawning lake trout on Sheboygan Reef in Lake Michigan: Journal of Great Lakes Research, v. 35, no. 1, p. 147-153, https://doi.org/10.1016/j.jglr.2008.11.005.","startPage":"147","endPage":"153","numberOfPages":"7","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":215203,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2008.11.005"},{"id":242988,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e69de4b0c8380cd47529","contributors":{"authors":[{"text":"Warner, D.M.","contributorId":40412,"corporation":false,"usgs":true,"family":"Warner","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":448814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claramunt, R.M.","contributorId":38760,"corporation":false,"usgs":true,"family":"Claramunt","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":448812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janssen, J.","contributorId":97303,"corporation":false,"usgs":true,"family":"Janssen","given":"J.","email":"","affiliations":[],"preferred":false,"id":448815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jude, D.J.","contributorId":13016,"corporation":false,"usgs":true,"family":"Jude","given":"D.J.","affiliations":[],"preferred":false,"id":448811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wattrus, N.","contributorId":39567,"corporation":false,"usgs":true,"family":"Wattrus","given":"N.","affiliations":[],"preferred":false,"id":448813,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035444,"text":"70035444 - 2009 - Bird population density estimated from acoustic signals","interactions":[],"lastModifiedDate":"2012-03-12T17:21:54","indexId":"70035444","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Bird population density estimated from acoustic signals","docAbstract":"Many animal species are detected primarily by sound. Although songs, calls and other sounds are often used for population assessment, as in bird point counts and hydrophone surveys of cetaceans, there are few rigorous methods for estimating population density from acoustic data. 2. The problem has several parts - distinguishing individuals, adjusting for individuals that are missed, and adjusting for the area sampled. Spatially explicit capture-recapture (SECR) is a statistical methodology that addresses jointly the second and third parts of the problem. We have extended SECR to use uncalibrated information from acoustic signals on the distance to each source. 3. We applied this extension of SECR to data from an acoustic survey of ovenbird Seiurus aurocapilla density in an eastern US deciduous forest with multiple four-microphone arrays. We modelled average power from spectrograms of ovenbird songs measured within a window of 0??7 s duration and frequencies between 4200 and 5200 Hz. 4. The resulting estimates of the density of singing males (0??19 ha <sup>-1</sup> SE 0??03 ha<sup>-1</sup>) were consistent with estimates of the adult male population density from mist-netting (0??36 ha<sup>-1</sup> SE 0??12 ha<sup>-1</sup>). The fitted model predicts sound attenuation of 0??11 dB m<sup>-1</sup> (SE 0??01 dB m<sup>-1</sup>) in excess of losses from spherical spreading. 5.Synthesis and applications. Our method for estimating animal population density from acoustic signals fills a gap in the census methods available for visually cryptic but vocal taxa, including many species of bird and cetacean. The necessary equipment is simple and readily available; as few as two microphones may provide adequate estimates, given spatial replication. The method requires that individuals detected at the same place are acoustically distinguishable and all individuals vocalize during the recording interval, or that the per capita rate of vocalization is known. We believe these requirements can be met, with suitable field methods, for a significant number of songbird species. ?? 2009 British Ecological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2664.2009.01731.x","issn":"00218901","usgsCitation":"Dawson, D., and Efford, M., 2009, Bird population density estimated from acoustic signals: Journal of Applied Ecology, v. 46, no. 6, p. 1201-1209, https://doi.org/10.1111/j.1365-2664.2009.01731.x.","startPage":"1201","endPage":"1209","numberOfPages":"9","costCenters":[],"links":[{"id":487254,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2009.01731.x","text":"Publisher Index Page"},{"id":215499,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2009.01731.x"},{"id":243309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-11-26","publicationStatus":"PW","scienceBaseUri":"5059f1b0e4b0c8380cd4ada8","contributors":{"authors":[{"text":"Dawson, D.K. 0000-0001-7531-212X","orcid":"https://orcid.org/0000-0001-7531-212X","contributorId":94752,"corporation":false,"usgs":true,"family":"Dawson","given":"D.K.","affiliations":[],"preferred":false,"id":450715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Efford, M.G.","contributorId":13352,"corporation":false,"usgs":true,"family":"Efford","given":"M.G.","affiliations":[],"preferred":false,"id":450714,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035010,"text":"70035010 - 2009 - How does landscape structure influence catchment transit time across different geomorphic provinces?","interactions":[],"lastModifiedDate":"2012-03-12T17:21:56","indexId":"70035010","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"How does landscape structure influence catchment transit time across different geomorphic provinces?","docAbstract":"Despite an increasing number of empirical investigations of catchment transit times (TTs), virtually all are based on individual catchments and there are few attempts to synthesize understanding across different geographical regions. Uniquely, this paper examines data from 55 catchments in five geomorphic provinces in northern temperate regions (Scotland, United States of America and Sweden). The objective is to understand how the role of catchment topography as a control on the TTs differs in contrasting geographical settings. Catchment inverse transit time proxies (ITTPs) were inferred by a simple metric of isotopic tracer damping, using the ratio of standard deviation of ??<sup>18</sup>O in streamwater to the standard deviation of ??<sup>18</sup>O in precipitation. Quantitative landscape analysis was undertaken to characterize the catchments according to hydrologically relevant topographic indices that could be readily determined from a digital terrain model (DTM). The nature of topographic controls on transit times varied markedly in different geomorphic regions. In steeper montane regions, there are stronger gravitational influences on hydraulic gradients and TTs tend to be lower in the steepest catchments. In provinces where terrain is more subdued, direct topographic control weakened; in particular, where flatter areas with less permeable soils give rise to overland flow and lower TTs. The steeper slopes within this flatter terrain appear to have a greater coverage of freely draining soils, which increase sub-surface flow, therefore increasing TTs. Quantitative landscape analysis proved a useful tool for intercatchment comparison. However, the critical influence of sub-surface permeability and connectivity may limit the transferability of predictive tools of hydrological function based on topographic parameters alone. Copyright ?? 2009 John Wiley &amp; Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.7240","issn":"08856087","usgsCitation":"Tetzlaff, D., Seibert, J., McGuire, K., Laudon, H., Burns, D.A., Dunn, S., and Soulsby, C., 2009, How does landscape structure influence catchment transit time across different geomorphic provinces?: Hydrological Processes, v. 23, no. 6, p. 945-953, https://doi.org/10.1002/hyp.7240.","startPage":"945","endPage":"953","numberOfPages":"9","costCenters":[],"links":[{"id":215291,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7240"},{"id":243085,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-01-28","publicationStatus":"PW","scienceBaseUri":"505a3249e4b0c8380cd5e6a0","contributors":{"authors":[{"text":"Tetzlaff, D.","contributorId":106622,"corporation":false,"usgs":true,"family":"Tetzlaff","given":"D.","email":"","affiliations":[],"preferred":false,"id":448870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seibert, J.","contributorId":37513,"corporation":false,"usgs":true,"family":"Seibert","given":"J.","email":"","affiliations":[],"preferred":false,"id":448865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, K.J.","contributorId":88943,"corporation":false,"usgs":true,"family":"McGuire","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":448868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laudon, H.","contributorId":82444,"corporation":false,"usgs":false,"family":"Laudon","given":"H.","email":"","affiliations":[],"preferred":false,"id":448867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":29450,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":448864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunn, S.M.","contributorId":93177,"corporation":false,"usgs":true,"family":"Dunn","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":448869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Soulsby, C.","contributorId":40713,"corporation":false,"usgs":true,"family":"Soulsby","given":"C.","affiliations":[],"preferred":false,"id":448866,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032457,"text":"70032457 - 2009 - Case study of a full-scale evapotranspiration cover","interactions":[],"lastModifiedDate":"2018-10-12T09:47:52","indexId":"70032457","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Case study of a full-scale evapotranspiration cover","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>The design, construction, and performance analyses of a 6.1ha evapotranspiration (ET) landfill cover at the semiarid U.S. Army Fort Carson site, near Colorado Springs, Colo. are presented. Initial water-balance model simulations, using literature reported soil hydraulic data, aided selection of borrow-source soil type(s) that resulted in predictions of negligible annual drainage (⩽1mm∕year). Final construction design was based on refined water-balance simulations using laboratory determined soil hydraulic values from borrow area natural soil horizons that were described with USDA soil classification methods. Cover design components included a 122cm thick clay loam (USDA), compaction ⩽80% of the standard Proctor maximum dry density (dry bulk density ∼1.3Mg/m3), erosion control measures, top soil amended with biosolids, and seeding with native grasses. Favorable hydrologic performance for a 5year period was documented by lysimeter-measured and Richards’-based calculations of annual drainage that were all &lt;0.4mm∕year. Water potential data suggest that ET removed water that infiltrated the cover and contributed to a persistent driving force for upward flow and removal of water from below the base of the cover.</p></div>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)1090-0241(2009)135:3(316)","usgsCitation":"McGuire, P.E., Andraski, B.J., and Archibald, R.E., 2009, Case study of a full-scale evapotranspiration cover: Journal of Geotechnical and Geoenvironmental Engineering, v. 135, no. 3, p. 316-332, https://doi.org/10.1061/(ASCE)1090-0241(2009)135:3(316).","productDescription":"17 p.","startPage":"316","endPage":"332","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241512,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f38ce4b0c8380cd4b88a","contributors":{"authors":[{"text":"McGuire, Patrick E.","contributorId":71008,"corporation":false,"usgs":false,"family":"McGuire","given":"Patrick","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":436257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":436256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archibald, Ryan E.","contributorId":27277,"corporation":false,"usgs":false,"family":"Archibald","given":"Ryan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":436255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035666,"text":"70035666 - 2009 - Constraining earthquake source inversions with GPS data: 2. A two-step approach to combine seismic and geodetic data sets","interactions":[],"lastModifiedDate":"2012-03-12T17:21:52","indexId":"70035666","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Constraining earthquake source inversions with GPS data: 2. A two-step approach to combine seismic and geodetic data sets","docAbstract":"We present a new method to combine static and wavefield data to image earthquake ruptures. Our combined inversion is a two-step procedure, following the work of Hernandez et al. (1999), and takes into account the differences between the resolutions of the two data sets. The first step consists of an inversion of the static field, which yields a map of slip amplitude. This inversion exploits a special irregular grid that takes into account the resolution of the static data. The second step is an inversion of the radiated wavefield; it results in the determination of the time evolution of slip on the fault. In the second step, the slip amplitude is constrained to resemble the static slip amplitude map inferred from the GPS inversion. Using this combined inversion, we study the source process of the 2004 M6 Parkfield, California, earthquake. We conclude that slip occurred in two main regions of the fault, each of which displayed distinct rupture behaviors. Slip initiated at the hypocenter with a very strong bilateral burst of energy. Here, slip was localized in a narrow area approximately 10 km long, the rupture velocity was very fast (???3.5 km/s), and slip only lasted a short period of time (<1 s). Then the rupture proceeded to a wider region 12-20 km northwest of the hypocenter. Here, the earthquake developed in a more moderated way: the rupture velocity slowed to ???3.0 km/s and slip lasted longer (1-2 s). The maximum slip amplitude was 0.45 m. Copyright 2009 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008JB005746","issn":"01480227","usgsCitation":"Custodio, S., Page, M., and Archuleta, R., 2009, Constraining earthquake source inversions with GPS data: 2. A two-step approach to combine seismic and geodetic data sets: Journal of Geophysical Research B: Solid Earth, v. 114, no. 1, https://doi.org/10.1029/2008JB005746.","costCenters":[],"links":[{"id":487265,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jb005746","text":"Publisher Index Page"},{"id":216217,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JB005746"},{"id":244074,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-27","publicationStatus":"PW","scienceBaseUri":"5059fa08e4b0c8380cd4d8b3","contributors":{"authors":[{"text":"Custodio, S.","contributorId":81714,"corporation":false,"usgs":true,"family":"Custodio","given":"S.","email":"","affiliations":[],"preferred":false,"id":451774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, M.T.","contributorId":36771,"corporation":false,"usgs":true,"family":"Page","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":451772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archuleta, R.J.","contributorId":79245,"corporation":false,"usgs":true,"family":"Archuleta","given":"R.J.","affiliations":[],"preferred":false,"id":451773,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035018,"text":"70035018 - 2009 - Ultraviolet absorbance as a proxy for total dissolved mercury in streams","interactions":[],"lastModifiedDate":"2018-10-05T08:54:20","indexId":"70035018","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Ultraviolet absorbance as a proxy for total dissolved mercury in streams","docAbstract":"<p>Stream water samples were collected over a range of hydrologic and seasonal conditions at three forested watersheds in the northeastern USA. Samples were analyzed for dissolved total mercury (THg<sub>d</sub>), DOC concentration and DOC composition, and UV<sub>254</sub> absorbance across the three sites over different seasons and flow conditions. Pooling data from all sites, we found a strong positive correlation of THg<sub>d</sub> to DOC (r<sup>2</sup> = 0.87), but progressively stronger correlations of THg<sub>d</sub> with the hydrophobic acid fraction (HPOA) of DOC (r<sup>2</sup> = 0.91) and with UV<sub>254</sub> absorbance (r<sup>2</sup> = 0.92). The strength of the UV<sub>254</sub> absorbance-THg<sub>d</sub> relationship suggests that optical properties associated with dissolved organic matter may be excellent proxies for THg<sub>d</sub> concentration in these streams. Ease of sample collection and analysis, the potential application of in-situ optical sensors, and the possibility for intensive monitoring over the hydrograph make this an effective, inexpensive approach to estimate THg<sub>d</sub> flux in drainage waters.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2009.01.031","issn":"02697491","usgsCitation":"Dittman, J., Shanley, J.B., Driscoll, C.T., Aiken, G., Chalmers, A., and Towse, J., 2009, Ultraviolet absorbance as a proxy for total dissolved mercury in streams: Environmental Pollution, v. 157, no. 6, p. 1953-1956, https://doi.org/10.1016/j.envpol.2009.01.031.","productDescription":"4 p.","startPage":"1953","endPage":"1956","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243250,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215443,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2009.01.031"}],"volume":"157","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbc0be4b08c986b3289c4","contributors":{"authors":[{"text":"Dittman, J.A.","contributorId":67745,"corporation":false,"usgs":true,"family":"Dittman","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, J. B.","contributorId":52226,"corporation":false,"usgs":true,"family":"Shanley","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":448903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, C. T.","contributorId":47530,"corporation":false,"usgs":false,"family":"Driscoll","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":448902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, G. R. 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":14452,"corporation":false,"usgs":true,"family":"Aiken","given":"G. R.","affiliations":[],"preferred":false,"id":448900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chalmers, A.T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":63576,"corporation":false,"usgs":true,"family":"Chalmers","given":"A.T.","affiliations":[],"preferred":false,"id":448904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Towse, J.E.","contributorId":46788,"corporation":false,"usgs":true,"family":"Towse","given":"J.E.","affiliations":[],"preferred":false,"id":448901,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034696,"text":"70034696 - 2009 - Developmental toxicity in white leghorn chickens following in ovo exposure to perfluorooctane sulfonate (PFOS)","interactions":[],"lastModifiedDate":"2017-05-17T09:29:46","indexId":"70034696","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3261,"text":"Reproductive Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Developmental toxicity in white leghorn chickens following in ovo exposure to perfluorooctane sulfonate (PFOS)","docAbstract":"Studies show that perfluorinated compounds cause various toxicological effects; nevertheless, effects on immune function and developmental endpoints have not been addressed at length. This study examined the effects of perfluorooctane sulfonate (PFOS) in white leghorn hatchlings on various developmental, immunological, and clinical health parameters. In addition, serum PFOS concentrations were determined by LC/MS/MS. Embryonic day (ED) 0 eggs were injected with either safflower oil/10% DMSO (control, 0 mg/kg egg wt) or PFOS in safflower oil/10% DMSO at 1, 2.5, or 5 mg/kg egg wt, and the chicks were grown to post-hatch day (PHD) 14. Treatment with PFOS did not affect hatch rate. Following in ovo exposure chicks exhibited increases in spleen mass at all treatment levels, in liver mass at 2.5 and 5 mg/kg egg wt, and in body length (crown-rump length) at the 5 mg/kg treatment. Right wings were shorter in all treatments compared to control. Increases in the frequency of brain asymmetry were evident in all treatment groups. SRBC-specific immunoglobulin (IgM and IgY combined) titers were decreased significantly at all treatment levels, while plasma lysozyme activity was increased at all treatment levels. The PHA skin test response decreased in relation to increasing PFOS dose. Serum concentrations where significant immunological, morphological, and neurological effects were observed at the lowest dose (1 mg/kg egg wt) averaged 154 ng PFOS/g serum. These concentrations fall within environmental ranges reported in blood samples from wild caught avian species; thereby, verifying that the environmental egg concentrations used for the injections do indeed relate to serum levels in hatchlings that are also environmentally relevant. These data indicate that immune alterations and brain asymmetry can occur in birds following in ovo exposure to environmentally relevant concentrations of PFOS and demonstrates the need for further research on the developmental effects of perfluorinated compounds in various species. ?? 2009 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reproductive Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.reprotox.2008.10.009","issn":"08906238","usgsCitation":"Peden-Adams, M.M., Stuckey, J.E., Gaworecki, K., Berger-Ritchie, J., Bryant, K., Jodice, P., Scott, T., Ferrario, J., Guan, B., Vigo, C., Boone, J., McGuinn, W., DeWitt, J., and Keil, D., 2009, Developmental toxicity in white leghorn chickens following in ovo exposure to perfluorooctane sulfonate (PFOS): Reproductive Toxicology, v. 27, no. 3-4, p. 307-318, https://doi.org/10.1016/j.reprotox.2008.10.009.","startPage":"307","endPage":"318","numberOfPages":"12","ipdsId":"IP-008257","costCenters":[],"links":[{"id":243516,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215695,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.reprotox.2008.10.009"}],"volume":"27","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0084e4b0c8380cd4f798","contributors":{"authors":[{"text":"Peden-Adams, M. M.","contributorId":16281,"corporation":false,"usgs":true,"family":"Peden-Adams","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":447077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuckey, Joyce E.","contributorId":106761,"corporation":false,"usgs":true,"family":"Stuckey","given":"Joyce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":447089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaworecki, K.M.","contributorId":74253,"corporation":false,"usgs":true,"family":"Gaworecki","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":447082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger-Ritchie, J.","contributorId":105608,"corporation":false,"usgs":true,"family":"Berger-Ritchie","given":"J.","email":"","affiliations":[],"preferred":false,"id":447088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryant, K.","contributorId":19043,"corporation":false,"usgs":true,"family":"Bryant","given":"K.","email":"","affiliations":[],"preferred":false,"id":447078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, P.G.","contributorId":67371,"corporation":false,"usgs":true,"family":"Jodice","given":"P.G.","email":"","affiliations":[],"preferred":false,"id":447081,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scott, T.R.","contributorId":76195,"corporation":false,"usgs":true,"family":"Scott","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":447084,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ferrario, J.B.","contributorId":96163,"corporation":false,"usgs":true,"family":"Ferrario","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":447087,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guan, B.","contributorId":80974,"corporation":false,"usgs":true,"family":"Guan","given":"B.","affiliations":[],"preferred":false,"id":447085,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vigo, C.","contributorId":9134,"corporation":false,"usgs":true,"family":"Vigo","given":"C.","email":"","affiliations":[],"preferred":false,"id":447076,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Boone, J.S.","contributorId":41708,"corporation":false,"usgs":true,"family":"Boone","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":447080,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McGuinn, W.D.","contributorId":80975,"corporation":false,"usgs":true,"family":"McGuinn","given":"W.D.","email":"","affiliations":[],"preferred":false,"id":447086,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"DeWitt, J.C.","contributorId":28490,"corporation":false,"usgs":true,"family":"DeWitt","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":447079,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Keil, D.E.","contributorId":75823,"corporation":false,"usgs":true,"family":"Keil","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":447083,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70035610,"text":"70035610 - 2009 - Using U.S. Geological Survey data in material flow analysis: An introduction","interactions":[],"lastModifiedDate":"2013-03-25T16:01:48","indexId":"70035610","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2351,"text":"Journal of Industrial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using U.S. Geological Survey data in material flow analysis: An introduction","docAbstract":"A few sources of basic data on worldwide raw materials production and consumption exist that are independently developed and freely available to the public. This column is an introduction to the types of information available from the U.S. Geological Survey (USGS), and explains how the data are assembled. The kind of information prepared by the USGS is essential to U.S. materials flow studies because the data make it possible to conduct these studies within a global context. The data include primary and secondary (scrap) production, consumption and stocks (mostly limited to the United States unless calculated), trade (not readily available for all countries), and prices for more than 80 mineral commodities. Materials flow studies by USGS specialists using these data are continuing (http://minerals.usgs.gov/minerals/mflow/). Figure 1 shows from where the data are collected and where they are used. Minerals information was downloaded by users 5.8 million times from USGS minerals information Web pages in 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Industrial Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1530-9290.2009.00160.x","issn":"10881980","usgsCitation":"Sibley, S., 2009, Using U.S. Geological Survey data in material flow analysis: An introduction: Journal of Industrial Ecology, v. 13, no. 5, p. 670-673, https://doi.org/10.1111/j.1530-9290.2009.00160.x.","productDescription":"4 p.","startPage":"670","endPage":"673","costCenters":[{"id":390,"text":"Minerals Information Team","active":false,"usgs":true}],"links":[{"id":476397,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1530-9290.2009.00160.x","text":"Publisher Index Page"},{"id":216340,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1530-9290.2009.00160.x"},{"id":244204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc01fe4b08c986b329f3b","contributors":{"authors":[{"text":"Sibley, S.F.","contributorId":72152,"corporation":false,"usgs":true,"family":"Sibley","given":"S.F.","email":"","affiliations":[],"preferred":false,"id":451443,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035222,"text":"70035222 - 2009 - Migration patterns and wintering range of common loons breeding in the Northeastern United States","interactions":[],"lastModifiedDate":"2012-03-12T17:21:57","indexId":"70035222","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Migration patterns and wintering range of common loons breeding in the Northeastern United States","docAbstract":"A study, using satellite telemetry, was conducted to determine the precise migration patterns and wintering locations of Common Loons (Gavia immer) breeding in the northeastern United States. Transmitters were implanted in 17 loons (16 adults and one juvenile) that were captured on breeding lakes in New York, New Hampshire, and Maine during the summers of 2003, 2004, and 2005. Transmitters from ten of the birds provided adequate location data to document movement to wintering areas. Most adult loons appeared to travel non-stop from breeding lakes, or neighboring lakes (within 15 km), to the Atlantic coast. Adult loons marked in New Hampshire and Maine wintered 152 to 239 km from breeding lakes, along the Maine coast. Adult loons marked in the Adirondack Park of New York wintered along the coasts of Massachusetts (414 km from breeding lake), Rhode Island (362 km), and southern New Jersey (527 km). Most of the loons remained relatively stationary throughout the winter, but the size of individual wintering areas of adult loons ranged from 43 to 1,159 km <sup>2</sup>, based on a 95% fixed kernel utilization distribution probability. A juvenile bird from New York made a number of stops at lakes and reservoirs en route to Long Island Sound (325 km from breeding lake). Maximum functional life of transmitters was about 12 months, providing an opportunity to document spring migration movements as well. This work provides essential information for development and implementation of regional Common Loon conservation strategies in the Northeastern U.S.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.032.0204","issn":"15244695","usgsCitation":"Kenow, K., Adams, D., Schoch, N., Evers, D., Hanson, W., Yates, D., Savoy, L., Fox, T., Major, A., Kratt, R., and Ozard, J., 2009, Migration patterns and wintering range of common loons breeding in the Northeastern United States: Waterbirds, v. 32, no. 2, p. 234-247, https://doi.org/10.1675/063.032.0204.","startPage":"234","endPage":"247","numberOfPages":"14","costCenters":[],"links":[{"id":215516,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.032.0204"},{"id":243327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5714e4b0c8380cd6da3c","contributors":{"authors":[{"text":"Kenow, K.P.","contributorId":18302,"corporation":false,"usgs":true,"family":"Kenow","given":"K.P.","affiliations":[],"preferred":false,"id":449792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, D.","contributorId":22963,"corporation":false,"usgs":true,"family":"Adams","given":"D.","affiliations":[],"preferred":false,"id":449794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoch, N.","contributorId":18196,"corporation":false,"usgs":true,"family":"Schoch","given":"N.","email":"","affiliations":[],"preferred":false,"id":449791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evers, D.C.","contributorId":36501,"corporation":false,"usgs":true,"family":"Evers","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":449797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, W.","contributorId":19797,"corporation":false,"usgs":true,"family":"Hanson","given":"W.","email":"","affiliations":[],"preferred":false,"id":449793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, D.","contributorId":42391,"corporation":false,"usgs":true,"family":"Yates","given":"D.","email":"","affiliations":[],"preferred":false,"id":449798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Savoy, L.","contributorId":28448,"corporation":false,"usgs":true,"family":"Savoy","given":"L.","email":"","affiliations":[],"preferred":false,"id":449795,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, T.J.","contributorId":50477,"corporation":false,"usgs":true,"family":"Fox","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":449799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Major, A.","contributorId":9846,"corporation":false,"usgs":true,"family":"Major","given":"A.","email":"","affiliations":[],"preferred":false,"id":449790,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kratt, R.","contributorId":100998,"corporation":false,"usgs":true,"family":"Kratt","given":"R.","affiliations":[],"preferred":false,"id":449800,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ozard, J.","contributorId":32006,"corporation":false,"usgs":true,"family":"Ozard","given":"J.","email":"","affiliations":[],"preferred":false,"id":449796,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70035992,"text":"70035992 - 2009 - Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands","interactions":[],"lastModifiedDate":"2017-10-25T12:27:03","indexId":"70035992","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands","docAbstract":"<p><span>Interferometric Synthetic Aperture Radar (InSAR) has been used to detect relative water level changes in wetlands. We developed an innovative method to integrate InSAR and satellite radar altimetry for measuring absolute or geocentric water level changes and applied the methodology to remote areas of swamp forest in coastal Louisiana. Coherence analysis of InSAR pairs suggested that the HH polarization is preferred for this type of observation, and polarimetric analysis can help to identify double-bounce backscattering areas in the wetland. ENVISAT radar altimeter-measured 18-Hz (along-track sampling of 417&nbsp;m) water level data processed with regional </span><i>stackfile</i><span> method have been used to provide vertical references for water bodies separated by levees. The high-resolution (~&nbsp;40&nbsp;m) relative water changes measured from ALOS PALSAR L-band and Radarsat-1 C-band InSAR are then integrated with ENVISAT radar altimetry to obtain absolute water level. The resulting water level time series were validated with </span><i>in situ</i><span> gauge observations within the swamp forest. We anticipate that this new technique will allow retrospective reconstruction and concurrent monitoring of water conditions and flow dynamics in wetlands, especially those lacking gauge networks.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2009.06.014","issn":"00344257","usgsCitation":"Kim, J., Lu, Z., Lee, H., Shum, C., Swarzenski, C., Doyle, T., and Baek, S., 2009, Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands: Remote Sensing of Environment, v. 113, no. 11, p. 2356-2365, https://doi.org/10.1016/j.rse.2009.06.014.","productDescription":"10 p.","startPage":"2356","endPage":"2365","numberOfPages":"10","ipdsId":"IP-017650","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":244379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216504,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2009.06.014"}],"volume":"113","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c59e4b0c8380cd62c8f","contributors":{"authors":[{"text":"Kim, J.-W.","contributorId":75731,"corporation":false,"usgs":true,"family":"Kim","given":"J.-W.","email":"","affiliations":[],"preferred":false,"id":453515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":453518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, H.","contributorId":40739,"corporation":false,"usgs":true,"family":"Lee","given":"H.","affiliations":[],"preferred":false,"id":453513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shum, C. K.","contributorId":85373,"corporation":false,"usgs":true,"family":"Shum","given":"C. K.","affiliations":[],"preferred":false,"id":453517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, C.M.","contributorId":74856,"corporation":false,"usgs":true,"family":"Swarzenski","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":453514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doyle, T.W. 0000-0001-5754-0671","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":16783,"corporation":false,"usgs":true,"family":"Doyle","given":"T.W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":453512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baek, S.-H.","contributorId":84187,"corporation":false,"usgs":true,"family":"Baek","given":"S.-H.","email":"","affiliations":[],"preferred":false,"id":453516,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035133,"text":"70035133 - 2009 - Quality assurance and quality control in light stable isotope laboratories: A case study of Rio Grande, Texas, water samples","interactions":[],"lastModifiedDate":"2018-10-15T07:07:59","indexId":"70035133","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2114,"text":"Isotopes in Environmental and Health Studies","active":true,"publicationSubtype":{"id":10}},"title":"Quality assurance and quality control in light stable isotope laboratories: A case study of Rio Grande, Texas, water samples","docAbstract":"<div class=\"hlFld-Abstract test\"><div class=\"abstractSection abstractInFull\"><p>New isotope laboratories can achieve the goal of reporting the same isotopic composition within analytical uncertainty for the same material analysed decades apart by (1) writing their own acceptance testing procedures and putting them into their mass spectrometric or laser-based isotope-ratio equipment procurement contract, (2) requiring a manufacturer to demonstrate acceptable performance using all sample ports provided with the instrumentation, (3) for each medium to be analysed, prepare two local reference materials substantially different in isotopic composition to encompass the range in isotopic composition expected in the laboratory and calibrated them with isotopic reference materials available from the International Atomic Energy Agency (IAEA) or the US National Institute of Standards and Technology (NIST), (4) using the optimum storage containers (for water samples, sealing in glass ampoules that are sterilised after sealing is satisfactory), (5) interspersing among sample unknowns local laboratory isotopic reference materials daily (internationally distributed isotopic reference materials can be ordered at three-year intervals, and can be used for elemental analyser analyses and other analyses that consume less than 1 mg of material) – this process applies to H, C, N, O, and S isotope ratios, (6) calculating isotopic compositions of unknowns by normalising isotopic data to that of local reference materials, which have been calibrated to internationally distributed isotopic reference materials, (7) reporting results on scales normalised to internationally distributed isotopic reference materials (where they are available) and providing to sample submitters the isotopic compositions of internationally distributed isotopic reference materials of the same substance had they been analysed with unknowns, (8) providing an audit trail in the laboratory for analytical results – this trail commonly will be in electronic format and might include a laboratory information management system, (9) making at regular intervals a complete backup of laboratory analytical data (both of samples logged into the laboratory and of mass spectrometric analyses), being sure to store one copy of this backup offsite, and (10) participating in interlaboratory comparison exercises sponsored by the IAEA and other agencies at regular intervals.</p></div></div><div class=\"abstractKeywords\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10256010902871952","issn":"10256016","usgsCitation":"Coplen, T., and Qi, H., 2009, Quality assurance and quality control in light stable isotope laboratories: A case study of Rio Grande, Texas, water samples: Isotopes in Environmental and Health Studies, v. 45, no. 2, p. 126-134, https://doi.org/10.1080/10256010902871952.","productDescription":"9 p.","startPage":"126","endPage":"134","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":215180,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10256010902871952"},{"id":242962,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-06-08","publicationStatus":"PW","scienceBaseUri":"505a9084e4b0c8380cd7fdad","contributors":{"authors":[{"text":"Coplen, T.B.","contributorId":34147,"corporation":false,"usgs":true,"family":"Coplen","given":"T.B.","affiliations":[],"preferred":false,"id":449439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, H.","contributorId":107910,"corporation":false,"usgs":true,"family":"Qi","given":"H.","affiliations":[],"preferred":false,"id":449440,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036926,"text":"70036926 - 2009 - Fate of sulfamethoxazole, 4-nonylphenol, and 17β-estradiol in groundwater contaminated by wastewater treatment plant effluent","interactions":[],"lastModifiedDate":"2018-10-10T09:38:44","indexId":"70036926","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Fate of sulfamethoxazole, 4-nonylphenol, and 17β-estradiol in groundwater contaminated by wastewater treatment plant effluent","docAbstract":"<p><span>Organic wastewater contaminants (OWCs) were measured in samples collected from monitoring wells located along a 4.5-km transect of a plume of groundwater contaminated by 60 years of continuous rapid infiltration disposal of wastewater treatment plant effluent. Fifteen percent of the 212 OWCs analyzed were detected, including the antibiotic sulfamethoxazole (SX), the nonionic surfactant degradation product 4-nonylphenol (NP), the solvent tetrachloroethene (PCE), and the disinfectant 1,4-dichlorobenzene (DCB). Comparison of the 2005 sampling results to data collected from the same wells in 1985 indicates that PCE and DCB are transported more rapidly in the aquifer than NP, consistent with predictions based on compound hydrophobicity. Natural gradient in situ tracer experiments were conducted to evaluate the subsurface behavior of SX, NP, and the female sex hormone 17&beta;-estradiol (E2) in two oxic zones in the aquifer: (1) a downgradient transition zone at the interface between the contamination plume and the overlying uncontaminated groundwater and (2) a contaminated zone located beneath the infiltration beds, which have not been loaded for 10 years. In both zones, breakthrough curves for the conservative tracer bromide (Br</span><sup><span>&minus;</span></sup><span>) and SX were nearly coincident, whereas NP and E2 were retarded relative to Br</span><span>&minus;</span><span>&nbsp;and showed mass loss. Retardation was greater in the contaminated zone than in the transition zone. Attenuation of NP and E2 in the aquifer was attributed to biotransformation, and oxic laboratory microcosm experiments using sediments from the transition and contaminated zones show that uniform-ring-labeled&nbsp;</span><sup><span>14</span></sup><span>C 4-normal-NP was biodegraded more rapidly (30&minus;60% recovered as&nbsp;</span><sup><span>14</span></sup><span>CO</span><sub><span>2</span></sub><span>&nbsp;in 13 days) than 4-</span><span>14</span><span>C E2 (20&minus;90% recovered as&nbsp;</span><sup><span>14</span></sup><span>CO</span><sub><span>2</span></sub><span>in 54 days). There was little difference in mineralization potential between sites.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/es803292v","issn":"0013936X","usgsCitation":"Barber, L.B., Keefe, S.H., LeBlanc, D.R., Bradley, P.M., Chapelle, F.H., Meyer, M.T., Loftin, K.A., Koplin, D.W., and Rubio, F., 2009, Fate of sulfamethoxazole, 4-nonylphenol, and 17β-estradiol in groundwater contaminated by wastewater treatment plant effluent: Environmental Science & Technology, v. 43, no. 13, p. 4843-4850, https://doi.org/10.1021/es803292v.","productDescription":"8 p.","startPage":"4843","endPage":"4850","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217775,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es803292v"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.8673095703125,\n              41.52091689636249\n            ],\n            [\n              -70.8673095703125,\n              42.0125705565935\n            ],\n            [\n              -70.24108886718749,\n              42.0125705565935\n            ],\n            [\n              -70.24108886718749,\n              41.52091689636249\n            ],\n            [\n              -70.8673095703125,\n              41.52091689636249\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"13","noUsgsAuthors":false,"publicationDate":"2009-05-20","publicationStatus":"PW","scienceBaseUri":"505a0f13e4b0c8380cd53753","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":458491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keefe, Steffanie H. 0000-0002-3805-6101 shkeefe@usgs.gov","orcid":"https://orcid.org/0000-0002-3805-6101","contributorId":2843,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie","email":"shkeefe@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":458487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":458494,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":458488,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koplin, Dana W.","contributorId":82174,"corporation":false,"usgs":true,"family":"Koplin","given":"Dana","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":458493,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rubio, Fernando","contributorId":92371,"corporation":false,"usgs":true,"family":"Rubio","given":"Fernando","affiliations":[],"preferred":false,"id":458490,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70036745,"text":"70036745 - 2009 - Spatial and temporal patterns of chronic wasting disease: Fine-scale mapping of a wildlife epidemic in Wisconsin","interactions":[],"lastModifiedDate":"2015-06-17T16:23:04","indexId":"70036745","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal patterns of chronic wasting disease: Fine-scale mapping of a wildlife epidemic in Wisconsin","docAbstract":"<p>Emerging infectious diseases threaten wildlife populations and human health. Understanding the spatial distributions of these new diseases is important for disease management and policy makers; however, the data are complicated by heterogeneities across host classes, sampling variance, sampling biases, and the space-time epidemic process. Ignoring these issues can lead to false conclusions or obscure important patterns in the data, such as spatial variation in disease prevalence. Here, we applied hierarchical Bayesian disease mapping methods to account for risk factors and to estimate spatial and temporal patterns of infection by chronic wasting disease (CWD) in white-tailed deer (Odocoileus virginianus) of Wisconsin, USA. We found significant heterogeneities for infection due to age, sex, and spatial location. Infection probability increased with age for all young deer, increased with age faster for young males, and then declined for some older animals, as expected from disease-associated mortality and age-related changes in infection risk. We found that disease prevalence was clustered in a central location, as expected under a simple spatial epidemic process where disease prevalence should increase with time and expand spatially. However, we could not detect any consistent temporal or spatiotemporal trends in CWD prevalence. Estimates of the temporal trend indicated that prevalence may have decreased or increased with nearly equal posterior probability, and the model without temporal or spatiotemporal effects was nearly equivalent to models with these effects based on deviance information criteria. For maximum interpretability of the role of location as a disease risk factor, we used the technique of direct standardization for prevalence mapping, which we develop and describe. These mapping results allow disease management actions to be employed with reference to the estimated spatial distribution of the disease and to those host classes most at risk. Future wildlife epidemiology studies should employ hierarchical Bayesian methods to smooth estimated quantities across space and time, account for heterogeneities, and then report disease rates based on an appropriate standardization. ?? 2009 by the Ecological Society of America.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-0578.1","issn":"10510761","usgsCitation":"Osnas, E., Heisey, D., Rolley, R., and Samuel, M., 2009, Spatial and temporal patterns of chronic wasting disease: Fine-scale mapping of a wildlife epidemic in Wisconsin: Ecological Applications, v. 19, no. 5, p. 1311-1322, 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M.D.","contributorId":13910,"corporation":false,"usgs":true,"family":"Samuel","given":"M.D.","affiliations":[],"preferred":false,"id":457623,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036831,"text":"70036831 - 2009 - Atmospheric correction at AERONET locations: A new science and validation data set","interactions":[],"lastModifiedDate":"2012-03-12T17:21:59","indexId":"70036831","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Atmospheric correction at AERONET locations: A new science and validation data set","docAbstract":"This paper describes an Aerosol Robotic Network (AERONET)-based Surface Reflectance Validation Network (ASRVN) and its data set of spectral surface bidirectional reflectance and albedo based on Moderate Resolution Imaging Spectroradiometer (MODIS) TERRA and AQUA data. The ASRVN is an operational data collection and processing system. It receives 50 ?? 50 km<sup>2</sup>; subsets of MODIS level 1B (L1B) data from MODIS adaptive processing system and AERONET aerosol and water-vapor information. Then, it performs an atmospheric correction (AC) for about 100 AERONET sites based on accurate radiative-transfer theory with complex quality control of the input data. The ASRVN processing software consists of an L1B data gridding algorithm, a new cloud-mask (CM) algorithm based on a time-series analysis, and an AC algorithm using ancillary AERONET aerosol and water-vapor data. The AC is achieved by fitting the MODIS top-of-atmosphere measurements, accumulated for a 16-day interval, with theoretical reflectance parameterized in terms of the coefficients of the Li SparseRoss Thick (LSRT) model of the bidirectional reflectance factor (BRF). The ASRVN takes several steps to ensure high quality of results: 1) the filtering of opaque clouds by a CM algorithm; 2) the development of an aerosol filter to filter residual semitransparent and subpixel clouds, as well as cases with high inhomogeneity of aerosols in the processing area; 3) imposing the requirement of the consistency of the new solution with previously retrieved BRF and albedo; 4) rapid adjustment of the 16-day retrieval to the surface changes using the last day of measurements; and 5) development of a seasonal backup spectral BRF database to increase data coverage. The ASRVN provides a gapless or near-gapless coverage for the processing area. The gaps, caused by clouds, are filled most naturally with the latest solution for a given pixel. The ASRVN products include three parameters of the LSRT model (kL, kG, and kV), surface albedo, normalized BRF (computed for a standard viewing geometry, VZA = 0, SZA = 45??), and instantaneous BRF (or one-angle BRF value derived from the last day of MODIS measurement for specific viewing geometry) for the MODIS 500-m bands 17. The results are produced daily at a resolution of 1 km in gridded format. We also provide a cloud mask, a quality flag, and a browse bitmap image. The ASRVN data set, including 6 years of MODIS TERRA and 1.5 years of MODIS AQUA data, is available now as a standard MODIS product (MODASRVN) which can be accessed through the Level 1 and Atmosphere Archive and Distribution System website ( http://ladsweb.nascom.nasa.gov/data/search.html). It can be used for a wide range of applications including validation analysis and science research. ?? 2006 IEEE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1109/TGRS.2009.2016334","issn":"01962892","usgsCitation":"Wang, Y., Lyapustin, A., Privette, J., Morisette, J., and Holben, B., 2009, Atmospheric correction at AERONET locations: A new science and validation data set: IEEE Transactions on Geoscience and Remote Sensing, v. 47, no. 8, p. 2450-2466, https://doi.org/10.1109/TGRS.2009.2016334.","startPage":"2450","endPage":"2466","numberOfPages":"17","costCenters":[],"links":[{"id":217685,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2009.2016334"},{"id":245645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eebfe4b0c8380cd49f10","contributors":{"authors":[{"text":"Wang, Y.","contributorId":64213,"corporation":false,"usgs":true,"family":"Wang","given":"Y.","affiliations":[],"preferred":false,"id":458050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyapustin, A.I.","contributorId":40452,"corporation":false,"usgs":true,"family":"Lyapustin","given":"A.I.","email":"","affiliations":[],"preferred":false,"id":458048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Privette, J.L.","contributorId":67759,"corporation":false,"usgs":true,"family":"Privette","given":"J.L.","affiliations":[],"preferred":false,"id":458051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morisette, J.T.","contributorId":57029,"corporation":false,"usgs":true,"family":"Morisette","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":458049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holben, B.","contributorId":75762,"corporation":false,"usgs":true,"family":"Holben","given":"B.","affiliations":[],"preferred":false,"id":458052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036027,"text":"70036027 - 2009 - Hydrochemical analysis of groundwater using multivariate statistical methods - The Volta region, Ghana","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70036027","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2578,"text":"KSCE Journal of Civil Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Hydrochemical analysis of groundwater using multivariate statistical methods - The Volta region, Ghana","docAbstract":"Q and R-mode multivariate statistical analyses were applied to groundwater chemical data from boreholes and wells in the northern section of the Volta region Ghana. The objective was to determine the processes that affect the hydrochemistry and the variation of these processes in space among the three main geological terrains: the Buem formation, Voltaian System and the Togo series that underlie the area. The analyses revealed three zones in the groundwater flow system: recharge, intermediate and discharge regions. All three zones are clearly different with respect to all the major chemical parameters, with concentrations increasing from the perceived recharge areas through the intermediate regions to the discharge areas. R-mode HCA and factor analysis (using varimax rotation and Kaiser Criterion) were then applied to determine the significant sources of variation in the hydrochemistry. This study finds that groundwater hydrochemistry in the area is controlled by the weathering of silicate and carbonate minerals, as well as the chemistry of infiltrating precipitation. This study finds that the ??D and ??<sup>18</sup>O data from the area fall along the Global Meteoric Water Line (GMWL). An equation of regression derived for the relationship between ??D and ??<sup>18</sup>O bears very close semblance to the equation which describes the GMWL. On the basis of this, groundwater in the study area is probably meteoric and fresh. The apparently low salinities and sodicities of the groundwater seem to support this interpretation. The suitability of groundwater for domestic and irrigation purposes is related to its source, which determines its constitution. A plot of the sodium adsorption ratio (SAR) and salinity (EC) data on a semilog axis, suggests that groundwater serves good irrigation quality in the area. Sixty percent (60%), 20% and 20% of the 67 data points used in this study fall within the medium salinity - low sodicity (C2-S1), low salinity -low sodicity (C1-S1) and high salinity - low sodicity (C3-S1) fields, which ascribe good irrigation quality to groundwater from this area. Salinities range from 28.1 to 1956 ??S/cm, whilst SAR values fall within the range 0-3. Extremely low sodicity waters of this kind, with salinities lower than 600 ??S/cm, have the tendency to affect the dispersive properties of irrigation soils when used for irrigation. About 50% of the groundwater in the study area fall within this category and need prior treatment before usage. ?? 2009 Korean Society of Civil Engineers and Springer-Verlag Berlin Heidelberg GmbH.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"KSCE Journal of Civil Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12205-009-0055-2","issn":"12267988","usgsCitation":"Banoeng-Yakubo, B., Yidana, S., and Nti, E., 2009, Hydrochemical analysis of groundwater using multivariate statistical methods - The Volta region, Ghana: KSCE Journal of Civil Engineering, v. 13, no. 1, p. 55-63, https://doi.org/10.1007/s12205-009-0055-2.","startPage":"55","endPage":"63","numberOfPages":"9","costCenters":[],"links":[{"id":476120,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12205-009-0055-2","text":"Publisher Index Page"},{"id":246137,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218152,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12205-009-0055-2"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a332be4b0c8380cd5edb5","contributors":{"authors":[{"text":"Banoeng-Yakubo, B.","contributorId":75332,"corporation":false,"usgs":true,"family":"Banoeng-Yakubo","given":"B.","email":"","affiliations":[],"preferred":false,"id":453678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yidana, S.M.","contributorId":59554,"corporation":false,"usgs":true,"family":"Yidana","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":453676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nti, E.","contributorId":73044,"corporation":false,"usgs":true,"family":"Nti","given":"E.","email":"","affiliations":[],"preferred":false,"id":453677,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189184,"text":"70189184 - 2009 - Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function","interactions":[],"lastModifiedDate":"2018-04-03T11:20:23","indexId":"70189184","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function","docAbstract":"<p><span>We evaluate the utility of three interrelated means of using data to calibrate the fully distributed rainfall‐runoff model TOPKAPI as applied to the Maggia Valley drainage area in Switzerland. The use of error‐based weighting of observation and prior information data, local sensitivity analysis, and single‐objective function nonlinear regression provides quantitative evaluation of sensitivity of the 35 model parameters to the data, identification of data types most important to the calibration, and identification of correlations among parameters that contribute to nonuniqueness. Sensitivity analysis required only 71 model runs, and regression required about 50 model runs. The approach presented appears to be ideal for evaluation of models with long run times or as a preliminary step to more computationally demanding methods. The statistics used include composite scaled sensitivities, parameter correlation coefficients, leverage, Cook's D, and DFBETAS. Tests suggest predictive ability of the calibrated model typical of hydrologic models.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008WR007255","usgsCitation":"Foglia, L., Hill, M.C., Mehl, S.W., and Burlando, P., 2009, Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function: Water Resources Research, v. 45, no. 6, Article W06427; 18 p., https://doi.org/10.1029/2008WR007255.","productDescription":"Article W06427; 18 p.","ipdsId":"IP-011230","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2009-06-24","publicationStatus":"PW","scienceBaseUri":"595f4c49e4b0d1f9f057e395","contributors":{"authors":[{"text":"Foglia, L.","contributorId":6251,"corporation":false,"usgs":true,"family":"Foglia","given":"L.","affiliations":[],"preferred":false,"id":703397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mehl, Steffen W. swmehl@usgs.gov","contributorId":975,"corporation":false,"usgs":true,"family":"Mehl","given":"Steffen","email":"swmehl@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":703396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burlando, P.","contributorId":29209,"corporation":false,"usgs":true,"family":"Burlando","given":"P.","affiliations":[],"preferred":false,"id":703398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037485,"text":"70037485 - 2009 - Seismic analysis of clinoform depositional sequences and shelf-margin trajectories in Lower Cretaceous (Albian) strata, Alaska North Slope","interactions":[],"lastModifiedDate":"2018-09-25T16:33:21","indexId":"70037485","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Seismic analysis of clinoform depositional sequences and shelf-margin trajectories in Lower Cretaceous (Albian) strata, Alaska North Slope","docAbstract":"<p><span>Lower Cretaceous strata beneath the Alaska North Slope include clinoform depositional sequences that filled the western Colville foreland basin and overstepped the Beaufort rift shoulder. Analysis of Albian clinoform sequences with two‐dimensional (2D) seismic data resulted in the recognition of seismic facies inferred to represent lowstand, transgressive and highstand systems tracts. These are stacked to produce shelf‐margin trajectories that appear in low‐resolution seismic data to alternate between aggradational and progradational. Higher‐resolution seismic data reveal shelf‐margin trajectories that are more complex, particularly in net‐aggradational areas, where three patterns commonly are observed: (1) a negative (downward) step across the sequence boundary followed by mostly aggradation in the lowstand systems tract (LST), (2) a positive (upward) step across the sequence boundary followed by mostly progradation in the LST and (3) an upward backstep across a mass‐failure décollement. These different shelf‐margin trajectories are interpreted as (1) fall of relative sea level below the shelf edge, (2) fall of relative sea level to above the shelf edge and (3) mass‐failure removal of shelf‐margin sediment. Lowstand shelf margins mapped using these criteria are oriented north–south in the foreland basin, indicating longitudinal filling from west to east. The shelf margins turn westward in the north, where the clinoform depositional system overstepped the rift shoulder, and turn eastward in the south, suggesting progradation of depositional systems from the ancestral Brooks Range into the foredeep. Lowstand shelf‐margin orientations are consistently perpendicular to clinoform‐foreset‐dip directions. Although the Albian clinoform sequences of the Alaska North Slope are generally similar in stratal geometry to clinoform sequences elsewhere, they are significantly thicker. Clinoform‐sequence thickness ranges from 600–1000 m in the north to 1700–2000 m in the south, reflecting increased accommodation from the rift shoulder into the foredeep. The unusually thick clinoform sequences suggest significant subsidence followed by rapid sediment influx.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2117.2008.00392.x","issn":"0950091X","usgsCitation":"Houseknecht, D.W., Bird, K.J., and Schenk, C.J., 2009, Seismic analysis of clinoform depositional sequences and shelf-margin trajectories in Lower Cretaceous (Albian) strata, Alaska North Slope: Basin Research, v. 21, no. 5, p. 644-654, https://doi.org/10.1111/j.1365-2117.2008.00392.x.","productDescription":"11 p.","startPage":"644","endPage":"654","ipdsId":"IP-012915","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":244978,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217066,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2117.2008.00392.x"}],"volume":"21","issue":"5","noUsgsAuthors":false,"publicationDate":"2009-09-18","publicationStatus":"PW","scienceBaseUri":"505b8aede4b08c986b317481","contributors":{"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":461280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":461281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":461282,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035769,"text":"70035769 - 2009 - Tracking magma volume recovery at Okmok Volcano using GPS and an unscented kalman filter","interactions":[],"lastModifiedDate":"2019-04-15T11:25:11","indexId":"70035769","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Tracking magma volume recovery at Okmok Volcano using GPS and an unscented kalman filter","docAbstract":"<p><span class=\"paraNumber\"><span>&nbsp;</span></span><span>Changes beneath a volcano can be observed through position changes in a GPS network, but distinguishing the source of site motion is not always straightforward. The records of continuous GPS sites provide a favorable data set for tracking magma migration. Dense campaign observations usually provide a better spatial picture of the overall deformation field, at the expense of an episodic temporal record. Combining these observations provides the best of both worlds. A Kalman filter provides a means for integrating discrete and continuous measurements and for interpreting subtle signals. The unscented Kalman filter (UKF) is a nonlinear method for time‐dependent observations. We demonstrate the application of this technique to deformation data by applying it to GPS data collected at Okmok volcano. Seven years of GPS observations at Okmok are analyzed using a Mogi source model and the UKF. The deformation source at Okmok is relatively stable at 2.5 km depth below sea level, located beneath the center of the caldera, which means the surface deformation is caused by changes in the strength of the source. During the 7 years of GPS observations more than 0.5 m of uplift has occurred, a majority of that during the time period January 2003 to July 2004. The total volume recovery at Okmok since the last eruption in 1997 is ∼60–80%. The UKF allows us to solve simultaneously for the time‐dependence of the source strength and for the location without a priori information about the source.</span> 2009 by the American Geophysical Union.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008JB005837","issn":"01480227","usgsCitation":"Fournier, T., Freymueller, J., and Cervelli, P., 2009, Tracking magma volume recovery at Okmok Volcano using GPS and an unscented kalman filter: Journal of Geophysical Research B: Solid Earth, v. 114, no. 2, https://doi.org/10.1029/2008JB005837.","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":476359,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jb005837","text":"Publisher Index Page"},{"id":244145,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216282,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JB005837"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.3709716796875,\n              53.342353115548796\n            ],\n            [\n              -167.83538818359375,\n              53.342353115548796\n            ],\n            [\n              -167.83538818359375,\n              53.54357161755108\n            ],\n            [\n              -168.3709716796875,\n              53.54357161755108\n            ],\n            [\n              -168.3709716796875,\n              53.342353115548796\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"114","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-02-27","publicationStatus":"PW","scienceBaseUri":"505bb6a1e4b08c986b326db0","contributors":{"authors":[{"text":"Fournier, T.","contributorId":78964,"corporation":false,"usgs":true,"family":"Fournier","given":"T.","email":"","affiliations":[],"preferred":false,"id":452259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freymueller, Jeffrey T.","contributorId":96841,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffrey T.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":452260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cervelli, Peter 0000-0001-6765-1009","orcid":"https://orcid.org/0000-0001-6765-1009","contributorId":46724,"corporation":false,"usgs":true,"family":"Cervelli","given":"Peter","affiliations":[],"preferred":false,"id":452258,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034694,"text":"70034694 - 2009 - GIS applications for military operations in coastal zones","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034694","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"GIS applications for military operations in coastal zones","docAbstract":"In order to successfully support current and future US military operations in coastal zones, geospatial information must be rapidly integrated and analyzed to meet ongoing force structure evolution and new mission directives. Coastal zones in a military-operational environment are complex regions that include sea, land and air features that demand high-volume databases of extreme detail within relatively narrow geographic corridors. Static products in the form of analog maps at varying scales traditionally have been used by military commanders and their operational planners. The rapidly changing battlefield of 21st Century warfare, however, demands dynamic mapping solutions. Commercial geographic information system (GIS) software for military-specific applications is now being developed and employed with digital databases to provide customized digital maps of variable scale, content and symbolization tailored to unique demands of military units. Research conducted by the Center for Remote Sensing and Mapping Science at the University of Georgia demonstrated the utility of GIS-based analysis and digital map creation when developing large-scale (1:10,000) products from littoral warfare databases. The methodology employed-selection of data sources (including high resolution commercial images and Lidar), establishment of analysis/modeling parameters, conduct of vehicle mobility analysis, development of models and generation of products (such as a continuous sea-land DEM and geo-visualization of changing shorelines with tidal levels)-is discussed. Based on observations and identified needs from the National Geospatial-Intelligence Agency, formerly the National Imagery and Mapping Agency, and the Department of Defense, prototype GIS models for military operations in sea, land and air environments were created from multiple data sets of a study area at US Marine Corps Base Camp Lejeune, North Carolina. Results of these models, along with methodologies for developing large-scale littoral warfare databases, aid the National Geospatial-Intelligence Agency in meeting littoral warfare analysis, modeling and map generation requirements for US military organizations. ?? 2008 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"ISPRS Journal of Photogrammetry and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.isprsjprs.2008.10.004","issn":"09242716","usgsCitation":"Fleming, S., Jordan, T., Madden, M., Usery, E., and Welch, R., 2009, GIS applications for military operations in coastal zones: ISPRS Journal of Photogrammetry and Remote Sensing, v. 64, no. 2, p. 213-222, https://doi.org/10.1016/j.isprsjprs.2008.10.004.","startPage":"213","endPage":"222","numberOfPages":"10","costCenters":[],"links":[{"id":215663,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.isprsjprs.2008.10.004"},{"id":243482,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1465e4b0c8380cd54a08","contributors":{"authors":[{"text":"Fleming, S.","contributorId":90954,"corporation":false,"usgs":true,"family":"Fleming","given":"S.","email":"","affiliations":[],"preferred":false,"id":447070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordan, T.","contributorId":18197,"corporation":false,"usgs":true,"family":"Jordan","given":"T.","email":"","affiliations":[],"preferred":false,"id":447068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madden, M.","contributorId":18068,"corporation":false,"usgs":true,"family":"Madden","given":"M.","email":"","affiliations":[],"preferred":false,"id":447067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Usery, E.L.","contributorId":45355,"corporation":false,"usgs":true,"family":"Usery","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":447069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welch, R.","contributorId":6996,"corporation":false,"usgs":true,"family":"Welch","given":"R.","email":"","affiliations":[],"preferred":false,"id":447066,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032627,"text":"70032627 - 2009 - Thallium isotope evidence for a permanent increase in marine organic carbon export in the early Eocene","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032627","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Thallium isotope evidence for a permanent increase in marine organic carbon export in the early Eocene","docAbstract":"The first high resolution thallium (Tl) isotope records in two ferromanganese crusts (Fe-Mn crusts), CD29 and D11 from the Pacific Ocean are presented. The crusts record pronounced but systematic changes in 205Tl/203Tl that are unlikely to reflect diagenetic overprinting or changes in isotope fractionation between seawater and Fe-Mn crusts. It appears more likely that the Fe-Mn crusts track the Tl isotope composition of seawater over time. The present-day oceanic residence time of Tl is estimated to be about 20,000??yr, such that the isotopic composition should reflect ocean-wide events. New and published Os isotope data are used to construct age models for these crusts that are consistent with each other and significantly different from previous age models. Application of these age models reveals that the Tl isotope composition of seawater changed systematically between ~ 55??Ma and ~ 45??Ma. Using a simple box model it is shown that the present day Tl isotope composition of seawater depends almost exclusively on the ratio between the two principal output fluxes of marine Tl. These fluxes are the rate of removal of Tl from seawater via scavenging by authigenic Fe-Mn oxyhydroxide precipitation and the uptake rate of Tl during low temperature alteration of oceanic crust. It is highly unlikely that the latter has changed greatly. Therefore, assuming that the marine Tl budget has also not changed significantly during the Cenozoic, the low 205Tl/203Tl during the Paleocene is best explained by a more than four-fold higher sequestration of Tl by Fe-Mn oxyhydroxides compared with at the present day. The calculated Cenozoic Tl isotopic seawater curve displays a striking similarity to that of S, providing evidence that both systems may have responded to the same change in the marine environment. A plausible explanation is a marked and permanent increase in organic carbon export from ~ 55??Ma to ~ 45??Ma, which led to higher pyrite burial rates and a significantly reduced flux of Fe-Mn oxide removal as a result of increased biological uptake of Fe and Mn. ?? 2008 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.epsl.2008.12.010","issn":"00128","usgsCitation":"Nielsen, S., Mar-Gerrison, S., Gannoun, A., LaRowe, D., Klemm, V., Halliday, A.N., Burton, K., and Hein, J., 2009, Thallium isotope evidence for a permanent increase in marine organic carbon export in the early Eocene: Earth and Planetary Science Letters, v. 278, no. 3-4, p. 297-307, https://doi.org/10.1016/j.epsl.2008.12.010.","startPage":"297","endPage":"307","numberOfPages":"11","costCenters":[],"links":[{"id":487769,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1480213","text":"External Repository"},{"id":213826,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2008.12.010"},{"id":241487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba608e4b08c986b320e43","contributors":{"authors":[{"text":"Nielsen, S.G.","contributorId":49171,"corporation":false,"usgs":true,"family":"Nielsen","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":437118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mar-Gerrison, S.","contributorId":63629,"corporation":false,"usgs":true,"family":"Mar-Gerrison","given":"S.","email":"","affiliations":[],"preferred":false,"id":437120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannoun, A.","contributorId":39204,"corporation":false,"usgs":true,"family":"Gannoun","given":"A.","email":"","affiliations":[],"preferred":false,"id":437116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaRowe, D.","contributorId":74210,"corporation":false,"usgs":true,"family":"LaRowe","given":"D.","email":"","affiliations":[],"preferred":false,"id":437121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klemm, V.","contributorId":43898,"corporation":false,"usgs":true,"family":"Klemm","given":"V.","email":"","affiliations":[],"preferred":false,"id":437117,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Halliday, A. N.","contributorId":87663,"corporation":false,"usgs":true,"family":"Halliday","given":"A.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":437122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burton, K.W.","contributorId":101399,"corporation":false,"usgs":true,"family":"Burton","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":437123,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hein, J.R. 0000-0002-5321-899X","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":61429,"corporation":false,"usgs":true,"family":"Hein","given":"J.R.","affiliations":[],"preferred":false,"id":437119,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035690,"text":"70035690 - 2009 - Untangling the biological contributions to soil stability in semiarid shrublands","interactions":[],"lastModifiedDate":"2013-01-10T15:23:11","indexId":"70035690","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Untangling the biological contributions to soil stability in semiarid shrublands","docAbstract":"Communities of plants, biological soil crusts (BSCs), and arbuscular mycorrhizal (AM) fungi are known to influence soil stability individually, but their relative contributions, interactions, and combined effects are not well understood, particularly in arid and semiarid ecosystems. In a landscape-scale field study we quantified plant, BSC, and AM fungal communities at 216 locations along a gradient of soil stability levels in southern Utah, USA. We used multivariate modeling to examine the relative influences of plants, BSCs, and AM fungi on surface and subsurface stability in a semiarid shrubland landscape. Models were found to be congruent with the data and explained 35% of the variation in surface stability and 54% of the variation in subsurface stability. The results support several tentative conclusions. While BSCs, plants, and AM fungi all contribute to surface stability, only plants and AM fungi contribute to subsurface stability. In both surface and subsurface models, the strongest contributions to soil stability are made by biological components of the system. Biological soil crust cover was found to have the strongest direct effect on surface soil stability (0.60; controlling for other factors). Surprisingly, AM fungi appeared to influence surface soil stability (0.37), even though they are not generally considered to exist in the top few millimeters of the soil. In the subsurface model, plant cover appeared to have the strongest direct influence on soil stability (0.42); in both models, results indicate that plant cover influences soil stability both directly (controlling for other factors) and indirectly through influences on other organisms. Soil organic matter was not found to have a direct contribution to surface or subsurface stability in this system. The relative influence of AM fungi on soil stability in these semiarid shrublands was similar to that reported for a mesic tallgrass prairie. Estimates of effects that BSCs, plants, and AM fungi have on soil stability in these models are used to suggest the relative amounts of resources that erosion control practitioners should devote to promoting these communities. This study highlights the need for system approaches in combating erosion, soil degradation, and arid-land desertification.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/07-2076.1","issn":"10510761","usgsCitation":"Chaudhary, V.B., Bowker, M.A., O’Dell, T.E., Grace, J.B., Redman, A.E., Rillig, M.C., and Johnson, N.C., 2009, Untangling the biological contributions to soil stability in semiarid shrublands: Ecological Applications, v. 19, no. 1, p. 110-122, https://doi.org/10.1890/07-2076.1.","productDescription":"13 p.","startPage":"110","endPage":"122","numberOfPages":"13","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":476133,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://ecommons.luc.edu/ies_facpubs/4","text":"External Repository"},{"id":243916,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216074,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/07-2076.1"}],"country":"United States","state":"Utah","city":"Cannonville;Escalante","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.114,37.351 ], [ -112.114,37.973 ], [ -111.325,37.973 ], [ -111.325,37.351 ], [ -112.114,37.351 ] ] ] } } ] }","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbcf6e4b08c986b328e73","contributors":{"authors":[{"text":"Chaudhary, V. Bala","contributorId":101483,"corporation":false,"usgs":true,"family":"Chaudhary","given":"V.","email":"","middleInitial":"Bala","affiliations":[],"preferred":false,"id":451913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":451909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Dell, Thomas E.","contributorId":36518,"corporation":false,"usgs":true,"family":"O’Dell","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":451910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":451908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Redman, Andrea E.","contributorId":96506,"corporation":false,"usgs":true,"family":"Redman","given":"Andrea","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":451912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rillig, Matthias C.","contributorId":54427,"corporation":false,"usgs":true,"family":"Rillig","given":"Matthias","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":451911,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nancy C.","contributorId":107524,"corporation":false,"usgs":true,"family":"Johnson","given":"Nancy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":451914,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036344,"text":"70036344 - 2009 - Determination of diffusion coefficients of hydrogen in fused silica between 296 and 523 K by Raman spectroscopy and application of fused silica capillaries in studying redox reactions","interactions":[],"lastModifiedDate":"2017-10-24T12:51:15","indexId":"70036344","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Determination of diffusion coefficients of hydrogen in fused silica between 296 and 523 K by Raman spectroscopy and application of fused silica capillaries in studying redox reactions","docAbstract":"<p>Diffusion coefficients (<i>D</i>) of hydrogen in fused silica capillaries (FSC) were determined between 296 and 523&nbsp;K by Raman spectroscopy using CO<sub>2</sub><span>&nbsp;</span>as an internal standard. FSC capsules (3.25&nbsp;×&nbsp;10<sup>−4</sup>&nbsp;m OD, 9.9&nbsp;×&nbsp;10<sup>−5</sup>&nbsp;m ID, and ∼0.01&nbsp;m long) containing CO<sub>2</sub><span>&nbsp;</span>and H<sub>2</sub>were prepared and the initial relative concentrations of hydrogen in these capsules were derived from the Raman peak-height ratios between H<sub>2</sub><span>&nbsp;</span>(near 587&nbsp;cm<sup>−1</sup>) and CO<sub>2</sub><span>&nbsp;</span>(near 1387&nbsp;cm<sup>−1</sup>). The sample capsules were then heated at a fixed temperature (<i>T</i>) at one atmosphere to let H<sub>2</sub><span>&nbsp;</span>diffuse out of the capsule, and the changes of hydrogen concentration were monitored by Raman spectroscopy after quench. This process was repeated using different heating durations at 296 (room<span>&nbsp;</span><i>T</i>), 323, 375, 430, 473, and 523&nbsp;K; the same sample capsule was used repeatedly at each temperature. The values of<span>&nbsp;</span><i>D</i><span>&nbsp;</span>(in m<sup>2</sup>&nbsp;s<sup>−1</sup>) in FSC were obtained by fitting the observed changes of hydrogen concentration in the FSC capsule to an equation based on Fick’s law. Our<span>&nbsp;</span><i>D</i><span>&nbsp;</span>values are in good agreement with the more recent of the two previously reported experimental data sets, and both can be represented by:<span class=\"display\"></span></p><div class=\"formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi mathvariant=&quot;normal&quot; is=&quot;true&quot;>ln</mi><mi is=&quot;true&quot;>D</mi><mo is=&quot;true&quot;>=</mo><mo is=&quot;true&quot;>-</mo><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mn is=&quot;true&quot;>16.471</mn><mo is=&quot;true&quot;>&amp;#xB1;</mo><mn is=&quot;true&quot;>0.035</mn><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo><mo is=&quot;true&quot;>-</mo><mfrac is=&quot;true&quot;><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>44589</mn><mo is=&quot;true&quot;>&amp;#xB1;</mo><mn is=&quot;true&quot;>139</mn></mrow><mrow is=&quot;true&quot;><mi mathvariant=&quot;italic&quot; is=&quot;true&quot;>RT</mi></mrow></mfrac><mspace width=&quot;2em&quot; is=&quot;true&quot; /><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><msup is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>R</mi></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow></msup><mo is=&quot;true&quot;>=</mo><mn is=&quot;true&quot;>0.99991</mn><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></math>\"><span class=\"MJX_Assistive_MathML\">lnD=-(16.471±0.035)-44589±139RT(R2=0.99991)</span></span></div><p><span class=\"display\"></span>where<span>&nbsp;</span><i>R</i><span>&nbsp;</span>is the gas constant (8.3145&nbsp;J/mol&nbsp;K),<span>&nbsp;</span><i>T</i><span>&nbsp;</span>in Kelvin, and errors at 1<i>σ</i><span>&nbsp;</span>level. The slope corresponds to an activation energy of 44.59&nbsp;±&nbsp;0.14&nbsp;kJ/mol.</p><p>The<span>&nbsp;</span><i>D</i><span>&nbsp;</span>in FSC determined at 296&nbsp;K is about an order of magnitude higher than that in platinum at 723&nbsp;K, indicating that FSC is a suitable membrane for hydrogen at temperature between 673&nbsp;K and room temperature, and has a great potential for studying redox reactions at these temperatures, especially for systems containing organic material and/or sulphur.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2009.06.001","issn":"00167037","usgsCitation":"Shang, L., Chou, I., Lu, W., Burruss, R., and Zhang, Y., 2009, Determination of diffusion coefficients of hydrogen in fused silica between 296 and 523 K by Raman spectroscopy and application of fused silica capillaries in studying redox reactions: Geochimica et Cosmochimica Acta, v. 73, no. 18, p. 5435-5443, https://doi.org/10.1016/j.gca.2009.06.001.","productDescription":"9 p.","startPage":"5435","endPage":"5443","numberOfPages":"9","ipdsId":"IP-010606","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":246186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218200,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2009.06.001"}],"volume":"73","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ff9fe4b0c8380cd4f2c1","contributors":{"authors":[{"text":"Shang, L.","contributorId":57672,"corporation":false,"usgs":true,"family":"Shang","given":"L.","email":"","affiliations":[],"preferred":false,"id":455659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chou, I-Ming 0000-0001-5233-6479 imchou@usgs.gov","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":882,"corporation":false,"usgs":true,"family":"Chou","given":"I-Ming","email":"imchou@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":455657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, W.","contributorId":47576,"corporation":false,"usgs":true,"family":"Lu","given":"W.","email":"","affiliations":[],"preferred":false,"id":455658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burruss, Robert 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":146833,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":455661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Y.","contributorId":59969,"corporation":false,"usgs":true,"family":"Zhang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":455660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}