We have compiled a global geological map of Ganymede that represents the most recent understanding of the satellite based on Galileo mission results. This contribution builds on important previous accomplishments in the study of Ganymede utilizing Voyager data and incorporates the many new discoveries that were brought about by examination of Galileo data. We discuss the material properties of geological units defined utilizing a global mosaic of the surface with a nominal resolution of 1 km/pixel assembled by the USGS with the best available Voyager and Galileo regional coverage and high resolution imagery (100–200 m/pixel) of characteristic features and terrain types obtained by the Galileo spacecraft. We also use crater density measurements obtained from our mapping efforts to examine age relationships amongst the various defined units. These efforts have resulted in a more complete understanding of the major geological processes operating on Ganymede, especially the roles of cryovolcanic and tectonic processes in the formation of might materials. They have also clarified the characteristics of the geological units that comprise the satellite’s surface, the stratigraphic relationships of those geological units and structures, and the geological history inferred from those relationships. For instance, the characteristics and stratigraphic relationships of dark lineated material and reticulate material suggest they represent an intermediate stage between dark cratered material and light material units.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.11.035","usgsCitation":"Patterson, G.W., Collins, G.C., Head, J.W., Pappalardo, R.T., Prockter, L.M., Lucchitta, B.K., and Kay, J.P., 2010, Global geological mapping of Ganymede: Icarus, v. 207, no. 2, p. 845-867, https://doi.org/10.1016/j.icarus.2009.11.035.","productDescription":"23 p.","startPage":"845","endPage":"867","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"207","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c6f2e4b034bf6a7f4c4e","contributors":{"authors":[{"text":"Patterson, G. Wesley","contributorId":29302,"corporation":false,"usgs":true,"family":"Patterson","given":"G.","email":"","middleInitial":"Wesley","affiliations":[],"preferred":false,"id":750493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Geoffrey C.","contributorId":40512,"corporation":false,"usgs":true,"family":"Collins","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":750494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Head, James W.","contributorId":70772,"corporation":false,"usgs":false,"family":"Head","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7002,"text":"Department of Earth, Environmental, and Planetary Sciences, Brown University","active":true,"usgs":false}],"preferred":false,"id":750495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pappalardo, Robert T.","contributorId":102380,"corporation":false,"usgs":true,"family":"Pappalardo","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":750496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prockter, Louise M.","contributorId":36850,"corporation":false,"usgs":true,"family":"Prockter","given":"Louise","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":750497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":750498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kay, Jonathan P.","contributorId":210339,"corporation":false,"usgs":false,"family":"Kay","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":750499,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70114634,"text":"ofr20091072 - 2010 - Geophysical and sampling data from the inner continental shelf: Duxbury to Hull, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:27:27","indexId":"ofr20091072","displayToPublicDate":"2010-06-01T12:32:21","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1072","title":"Geophysical and sampling data from the inner continental shelf: Duxbury to Hull, Massachusetts","docAbstract":"The U.S. Geological Survey (USGS) and the Massachusetts Office of Coastal Zone Management (CZM) have cooperated to map approximately 200 km² of the Massachusetts inner continental shelf between Duxbury and Hull. This report contains geophysical and geological data collected by the USGS on three cruises between 2006 and 2007. These USGS data are supplemented with a National Oceanic and Atmospheric Administration (NOAA) hydrographic survey conducted in 2003 to update navigation charts. The geophysical data include (1) swath bathymetry from interferometric sonar and multibeam echosounders, (2) acoustic backscatter from sidescan sonar and multibeam echosounders, and (3) subsurface stratigraphy and structure from seismic-reflection profilers. The geological data include sediment samples, seafloor photographs, and bottom videos. These spatial data support research on the influence sea-level change and sediment supply have on coastal evolution, and on efforts to understand the type, distribution, and quality of subtidal marine habitats in the Massachusetts coastal ocean.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091072","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Barnhardt, W., Ackerman, S.D., Andrews, B., and Baldwin, W.E., 2010, Geophysical and sampling data from the inner continental shelf: Duxbury to Hull, Massachusetts: U.S. Geological Survey Open-File Report 2009-1072, HTML Document, https://doi.org/10.3133/ofr20091072.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":289080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20091072.jpg"},{"id":289079,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1072/title_page.html"},{"id":289078,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1072/"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.78167703927289, 42.26594054308327], [-70.81895584008204, 42.26485905082643], [-70.82370896316127, 42.26787684931167], [-70.82052214136814, 42.272405609332175], [-70.82750519532038, 42.27088119624965], [-70.82478279110302, 42.27405559321806], [-70.82564863217482, 42.34878565735807], [-70.80097657886824, 42.33562025264728], [-70.78750306546061, 42.3345256324182], [-70.73741472785917, 42.295667064456936], [-70.73598872536519, 42.300123322250656], [-70.72287132802893, 42.298922005391645], [-70.60589020751091, 42.20820908113818], [-70.59704260735691, 42.208110511325785], [-70.59722287569411, 42.08067714263482], [-70.61807433016685, 42.08061423039673], [-70.62044811220066, 42.08404497258078], [-70.62181481198644, 42.0815825548348], [-70.62468095714827, 42.08853420325009], [-70.63157537951327, 42.083329121064914], [-70.63303734467206, 42.09427108581133], [-70.64003438729651, 42.096109602592605], [-70.65276385903655, 42.113666940941116], [-70.664417747843, 42.11571324657221], [-70.71086169864378, 42.18005692143486], [-70.70626504620292, 42.20539753483665], [-70.74878476112009, 42.23615172523561], [-70.75302517919353, 42.24515504451862], [-70.74431497027392, 42.24757723101977], [-70.74717330986721, 42.25054300920509], [-70.74293723075891, 42.25912928524051], [-70.75017751751574, 42.26446932746604], [-70.78167703927289, 42.26594054308327]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.82750519532038, 42.0803625889854, -70.5950818539277, 42.34878565735807], \"type\": \"Feature\", \"id\": \"3091909\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad40f1e4b0729c154181c7","contributors":{"authors":[{"text":"Barnhardt, Walter A.","contributorId":80656,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","affiliations":[],"preferred":false,"id":495374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":138513,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495371,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236352,"text":"70236352 - 2010 - Upper mantle rheology from GRACE and GPS postseismic deformation after the 2004 Sumatra-Andaman earthquake","interactions":[],"lastModifiedDate":"2022-09-02T17:43:28.635127","indexId":"70236352","displayToPublicDate":"2010-06-01T11:58:51","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Upper mantle rheology from GRACE and GPS postseismic deformation after the 2004 Sumatra-Andaman earthquake","docAbstract":"Mantle rheology is one of the essential, yet least understood, material properties of our planet, controlling the dynamic processes inside the Earth's mantle and the Earth's response to various forces. With the advent of GRACE satellite gravity, measurements of mass displacements associated with many processes are now available. In the case of mass displacements related to postseismic deformation, these data may provide new constraints on the mantle rheology. We consider the postseismic deformation due to the Mw = 9.2 Sumatra 26 December 2004 and Mw = 8.7 Nias 28 March 2005 earthquakes. Applying wavelet analyses to enhance those local signals in the GRACE time varying geoids up to September 2007, we detect a clear postseismic gravity signal. We supplement these gravity variations with GPS measurements of postseismic crustal displacements to constrain postseismic relaxation processes throughout the upper mantle. The observed GPS displacements and gravity variations are well explained by a model of viscoelastic relaxation plus a small amount of afterslip at the downdip extension of the coseismically ruptured fault planes. Our model uses a 60 km thick elastic layer above a viscoelastic asthenosphere with Burgers body rheology. The mantle below depth 220 km has a Maxwell rheology. Assuming a low transient viscosity in the 60–220 km depth range, the GRACE data are best explained by a constant steady state viscosity throughout the ductile portion of the upper mantle (e.g., 60–660 km). This suggests that the localization of relatively low viscosity in the asthenosphere is chiefly in the transient viscosity rather than the steady state viscosity. We find a 8.1018 Pa s mantle viscosity in the 220–660 km depth range. This may indicate a transient response of the upper mantle to the high amount of stress released by the earthquakes. To fit the remaining misfit to the GRACE data, larger at the smaller spatial scales, cumulative afterslip of about 75 cm at depth should be added over the period spanned by the GRACE models. It produces only small crustal displacements. Our results confirm that satellite gravity data are an essential complement to ground geodetic and geophysical networks in order to understand the seismic cycle and the Earth's inner structure.
New three-dimensional (3D) lithologic and stratigraphic models of the Santa Rosa Plain (California, USA) delineate the thickness, extent, and distribution of subsurface geologic units and allow integration of diverse data sets to produce a lithologic, stratigraphic, and structural architecture for the region. This framework can be used to predict pathways of groundwater flow beneath the Santa Rosa Plain and potential areas of enhanced or focused seismic shaking.
Lithologic descriptions from 2683 wells were simplified to 19 internally consistent lithologic classes. These distinctive lithologic classes were used to construct a 3D model of lithologic variations within the basin by extrapolating data away from drill holes using a nearest-neighbor approach. Subsurface stratigraphy was defined through the identification of distinctive lithologic packages tied, where possible, to high-quality well control and to surface exposures. The 3D stratigraphic model consists of three bounding components: fault surfaces, stratigraphic surfaces, and a surface representing the top of pre-Cenozoic basement, derived from inversion of regional gravity data.
The 3D lithologic model displays a west to east transition from dominantly marine sands to heterogeneous continental sediments. In contrast to previous stratigraphic studies, the new models emphasize the prevalence of the clay-rich Petaluma Formation and its heterogeneous nature. Isopach maps of the Glen Ellen Formation and the 3D stratigraphic model show the influence of the Trenton Ridge, a concealed basement ridge that bisects the plain, on sedimentation; the thickest deposits of the Glen Ellen Formation are confined to north of the Trenton Ridge.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00513.1","usgsCitation":"Sweetkind, D.S., Taylor, E.M., McCabe, C.A., Langenheim, V., and McLaughlin, R.J., 2010, Three-dimensional geologic modeling of the Santa Rosa Plain, California : Geosphere, v. 6, no. 3, p. 237-274, https://doi.org/10.1130/GES00513.1.","productDescription":"38 p.","startPage":"237","endPage":"274","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":475718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00513.1","text":"Publisher Index Page"},{"id":374232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Rosa Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.97134399414061,\n 38.21444607848999\n ],\n [\n -122.4755859375,\n 38.21444607848999\n ],\n [\n -122.4755859375,\n 38.634036452919226\n ],\n [\n -122.97134399414061,\n 38.634036452919226\n ],\n [\n -122.97134399414061,\n 38.21444607848999\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Emily M. 0000-0003-1152-5761 emtaylor@usgs.gov","orcid":"https://orcid.org/0000-0003-1152-5761","contributorId":127802,"corporation":false,"usgs":true,"family":"Taylor","given":"Emily","email":"emtaylor@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Craig A.","contributorId":69256,"corporation":false,"usgs":true,"family":"McCabe","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":787811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":206978,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":787812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":787813,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148185,"text":"70148185 - 2010 - Interactive effects of senescence and natural disturbance on the annual survival probabilities of snail kites","interactions":[],"lastModifiedDate":"2015-05-26T10:23:44","indexId":"70148185","displayToPublicDate":"2010-06-01T11:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of senescence and natural disturbance on the annual survival probabilities of snail kites","docAbstract":"Individuals in wild populations face risks associated with both intrinsic (i.e. aging) and external (i.e. environmental) sources of mortality. Condition-dependent mortality occurs when there is an interaction between such factors; however, few studies have clearly demonstrated condition-dependent mortality and some have even argued that condition-dependent mortality does not occur in wild avian populations. Using large sample sizes (2084 individuals, 3746 re-sights) of individual-based longitudinal data collected over a 33 year period (1976-2008) on multiple cohorts, we used a capture-mark-recapture framework to model age-dependent survival in the snail kite Rostrhamus sociabilis plumbeus population in Florida. Adding to the growing amount of evidence for actuarial senescence in wild populations, we found evidence of senescent declines in survival probabilities in adult kites. We also tested the hypothesis that older kites experienced condition-dependent mortality during a range-wide drought event (2000-2002). The results provide convincing evidence that the annual survival probability of senescent kites was disproportionately affected by the drought relative to the survival probability of prime-aged adults. To our knowledge, this is the first evidence of condition-dependent mortality to be demonstrated in a wild avian population, a finding which challenges recent conclusions drawn in the literature. Our study suggests that senescence and condition-dependent mortality can affect the demography of wild avian populations. Accounting for these sources of variation may be particularly important to appropriately compute estimates of population growth rate, and probabilities of quasi-extinctions.
","language":"English","publisher":"Scandinavian Society Oikos","publisherLocation":"Copenhagen","doi":"10.1111/j.1600-0706.2010.18366.x","collaboration":"US Army Corps of Engineers; US Fish and Wildlife Service; St Johns River Water Management District; USGS","usgsCitation":"Reichert, B.E., Martin, J., Kendall, W.L., Cattau, C.E., and Kitchens, W.M., 2010, Interactive effects of senescence and natural disturbance on the annual survival probabilities of snail kites: Oikos, v. 119, no. 6, p. 972-979, https://doi.org/10.1111/j.1600-0706.2010.18366.x.","productDescription":"8 p.","startPage":"972","endPage":"979","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015221","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-03-19","publicationStatus":"PW","scienceBaseUri":"5565994be4b0d9246a9eb62d","contributors":{"authors":[{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, J.","contributorId":18871,"corporation":false,"usgs":true,"family":"Martin","given":"J.","affiliations":[],"preferred":false,"id":547593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":547594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cattau, Christopher E.","contributorId":54406,"corporation":false,"usgs":true,"family":"Cattau","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":547595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156643,"text":"70156643 - 2010 - Comparison of turbidity to multi-frequency sideways-looking acoustic-Doppler data and suspended-sediment data in the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2021-10-26T15:44:59.093627","indexId":"70156643","displayToPublicDate":"2010-06-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Comparison of turbidity to multi-frequency sideways-looking acoustic-Doppler data and suspended-sediment data in the Colorado River in Grand Canyon","docAbstract":"Water clarity is important to biologists when studying fish and other fluvial fauna and flora. Turbidity is an indicator of the cloudiness of water, or reduced water clarity, and is commonly measured using nephelometric sensors that record the scattering and absorption of light by particles in the water. Unfortunately, nephelometric sensors only operate over a narrow range of the conditions typically encountered in rivers dominated by suspended-sediment transport. For example, sediment inputs into the Colorado River in Grand Canyon caused by tributary floods often result in turbidity levels that exceed the maximum recording level of nephelometric turbidity sensors. The limited range of these sensors is one reason why acoustic Doppler profiler instrument data, not turbidity, has been used as a surrogate for suspended sediment concentration and load of the Colorado River in Grand Canyon. However, in addition to being an important water-quality parameter to biologists, turbidity of the Colorado River in Grand Canyon has been used to strengthen the suspended-sediment record through the process of turbidity-threshold sampling; high turbidity values trigger a pump sampler to collect samples of the river at critical times for gathering suspended-sediment data. Turbidity depends on several characteristics of suspended sediment including concentration, particle size, particle shape, color, and the refractive index of particles. In this paper, turbidity is compared with other parameters coupled to suspended sediment, namely suspended-silt and clay concentration and multifrequency acoustic attenuation. These data have been collected since 2005 at four stations with different sediment-supply characteristics on the Colorado River in Grand Canyon. These comparisons reveal that acoustic attenuation is a particularly useful parameter, because it is strongly related to turbidity and it can be measured by instruments that experience minimal fouling and record over the entire range of turbidity encountered in the Colorado River in Grand Canyon. Relating turbidity to acoustic attenuation and suspended-silt and clay concentration provides an additional benefit in that data outliers are revealed that likely identify inflow events from anomalous sources with unusual sediment characteristics.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Voichick, N., and Topping, D.J., 2010, Comparison of turbidity to multi-frequency sideways-looking acoustic-Doppler data and suspended-sediment data in the Colorado River in Grand Canyon, in Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 10 p.","productDescription":"10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019563","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":307422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0380859375,\n 35.65729624809628\n ],\n [\n -111.11572265625,\n 35.65729624809628\n ],\n [\n -111.11572265625,\n 36.96744946416934\n ],\n [\n -114.0380859375,\n 36.96744946416934\n ],\n [\n -114.0380859375,\n 35.65729624809628\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91afe4b0518e354dd13d","contributors":{"authors":[{"text":"Voichick, Nicholas nvoichick@usgs.gov","contributorId":5015,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":569775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":569776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173541,"text":"70173541 - 2010 - Patch dynamics and the timing of colonization-abandonment events by male Kirtland’s Warblers in an early succession habitat","interactions":[],"lastModifiedDate":"2021-03-31T15:00:34.272554","indexId":"70173541","displayToPublicDate":"2010-06-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Patch dynamics and the timing of colonization-abandonment events by male Kirtland’s Warblers in an early succession habitat","docAbstract":"Habitat colonization and abandonment affects the distribution of a species in space and time, ultimately influencing the duration of time habitat is used and the total area of habitat occupied in any given year. Both aspects have important implications to long-term conservation planning. The importance of patch isolation and area to colonization–extinction events is well studied, but little information exists on how changing regional landscape structure and population dynamics influences the variability in the timing of patch colonization and abandonment events. We used 26 years of Kirtland’s Warbler (Dendroica kirtlandii) population data taken during a habitat restoration program (1979–2004) across its historical breeding range to examine the influence of patch attributes and temporal large-scale processes, specifically the rate of habitat turnover and fraction of occupied patches, on the year-to-year timing of patch colonization and abandonment since patch origin. We found the timing of patch colonization and abandonment was influenced by patch and large-scale regional factors. In this system, larger patches were typically colonized earlier (i.e., at a younger age) and abandoned later than smaller patches. Isolated patches (i.e., patches farther from another occupied patch) were generally colonized later and abandoned earlier. Patch habitat type affected colonization and abandonment; colonization occurred at similar patch ages between plantation and wildfire areas (9 and 8.5 years, respectively), but plantations were abandoned at earlier ages (13.9 years) than wildfire areas (16.4 years) resulting in shorter use. As the fraction of occupied patches increased, patches were colonized and abandoned at earlier ages. Patches were abandoned at older ages when the influx of new habitat patches was at low and high rates. Our results provide empirical support for the temporal influence of patch dynamics (i.e., patch destruction, creation, and succession) on local colonization and extinction processes that help explain large-scale patterns of habitat occupancy. Results highlight the need for practitioners to consider the timing of habitat restoration as well as total amount and spatial arrangement of habitat to sustain populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.02.023","usgsCitation":"Donner, D.M., Ribic, C., and Probst, J.R., 2010, Patch dynamics and the timing of colonization-abandonment events by male Kirtland’s Warblers in an early succession habitat: Biological Conservation, v. 143, no. 5, p. 1159-1167, https://doi.org/10.1016/j.biocon.2010.02.023.","productDescription":"9 p.","startPage":"1159","endPage":"1167","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016822","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913e2e4b07657d19ff206","contributors":{"authors":[{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Probst, John R.","contributorId":171826,"corporation":false,"usgs":false,"family":"Probst","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638798,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189349,"text":"70189349 - 2010 - Source and fate of inorganic solutes in the Gibbon River, Yellowstone National Park, Wyoming, USA: I. Low-flow discharge and major solute chemistry","interactions":[],"lastModifiedDate":"2018-10-10T13:17:22","indexId":"70189349","displayToPublicDate":"2010-06-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Source and fate of inorganic solutes in the Gibbon River, Yellowstone National Park, Wyoming, USA: I. Low-flow discharge and major solute chemistry","docAbstract":"The Gibbon River in Yellowstone National Park (YNP) is an important natural resource and habitat for fisheries and wildlife. However, the Gibbon River differs from most other mountain rivers because its chemistry is affected by several geothermal sources including Norris Geyser Basin, Chocolate Pots, Gibbon Geyser Basin, Beryl Spring, and Terrace Spring. Norris Geyser Basin is one of the most dynamic geothermal areas in YNP, and the water discharging from Norris is much more acidic (pH 3) than other geothermal basins in the upper-Madison drainage (Gibbon and Firehole Rivers). Water samples and discharge data were obtained from the Gibbon River and its major tributaries near Norris Geyser Basin under the low-flow conditions of September 2006. Surface inflows from Norris Geyser Basin were sampled to identify point sources and to quantify solute loading to the Gibbon River. The source and fate of the major solutes (Ca, Mg, Na, K, SiO2, Cl, F, HCO3, SO4, NO3, and NH4) in the Gibbon River were determined in this study and these results may provide an important link in understanding the health of the ecosystem and the behavior of many trace solutes. Norris Geyser Basin is the primary source of Na, K, Cl, SO4, and N loads (35–58%) in the Gibbon River. The largest source of HCO3 and F is in the lower Gibbon River reach. Most of the Ca and Mg originate in the Gibbon River upstream from Norris Geyser Basin. All the major solutes behave conservatively except for NH4, which decreased substantially downstream from Gibbon Geyser Basin, and SiO2, small amounts of which precipitated on mixing of thermal drainage with the river. As much as 9–14% of the river discharge at the gage is from thermal flows during this period.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2010.03.014","usgsCitation":"McCleskey, R.B., Nordstrom, D.K., Susong, D.D., Ball, J.W., and Holloway, J.M., 2010, Source and fate of inorganic solutes in the Gibbon River, Yellowstone National Park, Wyoming, USA: I. Low-flow discharge and major solute chemistry: Journal of Volcanology and Geothermal Research, v. 193, no. 34-4, p. 189-202, https://doi.org/10.1016/j.jvolgeores.2010.03.014.","productDescription":"14 p.","startPage":"189","endPage":"202","ipdsId":"IP-016033","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.89324951171875,\n 44.6334823448553\n ],\n [\n -110.65292358398438,\n 44.6334823448553\n ],\n [\n -110.65292358398438,\n 44.75356026127114\n ],\n [\n -110.89324951171875,\n 44.75356026127114\n ],\n [\n -110.89324951171875,\n 44.6334823448553\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"193","issue":"34-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965bff1e4b0d1f9f05b392d","contributors":{"authors":[{"text":"McCleskey, R. 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Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","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":false,"id":704318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, James W.","contributorId":38946,"corporation":false,"usgs":true,"family":"Ball","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":704319,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":704321,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188016,"text":"70188016 - 2010 - Soil quality assessment using weighted fuzzy association rules","interactions":[],"lastModifiedDate":"2017-05-26T13:38:04","indexId":"70188016","displayToPublicDate":"2010-06-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3025,"text":"Pedosphere","active":true,"publicationSubtype":{"id":10}},"title":"Soil quality assessment using weighted fuzzy association rules","docAbstract":"Fuzzy association rules (FARs) can be powerful in assessing regional soil quality, a critical step prior to land planning and utilization; however, traditional FARs mined from soil quality database, ignoring the importance variability of the rules, can be redundant and far from optimal. In this study, we developed a method applying different weights to traditional FARs to improve accuracy of soil quality assessment. After the FARs for soil quality assessment were mined, redundant rules were eliminated according to whether the rules were significant or not in reducing the complexity of the soil quality assessment models and in improving the comprehensibility of FARs. The global weights, each representing the importance of a FAR in soil quality assessment, were then introduced and refined using a gradient descent optimization method. This method was applied to the assessment of soil resources conditions in Guangdong Province, China. The new approach had an accuracy of 87%, when 15 rules were mined, as compared with 76% from the traditional approach. The accuracy increased to 96% when 32 rules were mined, in contrast to 88% from the traditional approach. These results demonstrated an improved comprehensibility of FARs and a high accuracy of the proposed method.
","language":"English","publisher":"Elsevier","doi":"10.1016/S1002-0160(10)60022-7","usgsCitation":"Xue, Y., Liu, S., Hu, Y., and Yang, J., 2010, Soil quality assessment using weighted fuzzy association rules: Pedosphere, v. 20, no. 3, p. 334-341, https://doi.org/10.1016/S1002-0160(10)60022-7.","productDescription":"8 p.","startPage":"334","endPage":"341","ipdsId":"IP-010167","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e9ae4b016f7a9407718","contributors":{"authors":[{"text":"Xue, Yue-Ju","contributorId":44346,"corporation":false,"usgs":true,"family":"Xue","given":"Yue-Ju","email":"","affiliations":[],"preferred":false,"id":696187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hu, Yue-Ming","contributorId":192310,"corporation":false,"usgs":false,"family":"Hu","given":"Yue-Ming","affiliations":[],"preferred":false,"id":696189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Jing","contributorId":192311,"corporation":false,"usgs":false,"family":"Yang","given":"Jing","affiliations":[],"preferred":false,"id":696190,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148694,"text":"70148694 - 2010 - Conservation genetics of the alligator snapping turtle: cytonuclear evidence of range-wide bottleneck effects and unusually pronounced geographic structure","interactions":[],"lastModifiedDate":"2015-07-01T13:28:44","indexId":"70148694","displayToPublicDate":"2010-06-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Conservation genetics of the alligator snapping turtle: cytonuclear evidence of range-wide bottleneck effects and unusually pronounced geographic structure","docAbstract":"A previous mtDNA study indicated that female-mediated gene flow was extremely rare among alligator snapping turtle populations in different drainages of the Gulf of Mexico. In this study, we used variation at seven microsatellite DNA loci to assess the possibility of male-mediated gene flow, we augmented the mtDNA survey with additional sampling of the large Mississippi River System, and we evaluated the hypothesis that the consistently low within-population mtDNA diversity reflects past population bottlenecks. The results show that dispersal between drainages of the Gulf of Mexico is rare (F STmsat = 0.43, ΦSTmtDNA = 0.98). Past range-wide bottlenecks are indicated by several genetic signals, including low diversity for microsatellites (1.1–3.9 alleles/locus; H e = 0.06–0.53) and mtDNA (h = 0.00 for most drainages; π = 0.000–0.001). Microsatellite data reinforce the conclusion from mtDNA that the Suwannee River population might eventually be recognized as a distinct taxonomic unit. It was the only population showing fixation or near fixation for otherwise rare microsatellite alleles. Six evolutionarily significant units are recommended on the basis of reciprocal mtDNA monophyly and high levels of microsatellite DNA divergence.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-009-9966-1","usgsCitation":"Echelle, A., Hackler, J., Lack, J., Ballard, S.R., Roman, J., Fox, S.F., Leslie, D.M., and Van Den Bussche, R.A., 2010, Conservation genetics of the alligator snapping turtle: cytonuclear evidence of range-wide bottleneck effects and unusually pronounced geographic structure: Conservation Genetics, v. 11, no. 4, p. 1375-1387, https://doi.org/10.1007/s10592-009-9966-1.","productDescription":"13 p.","startPage":"1375","endPage":"1387","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013033","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.537109375,\n 28.613459424004414\n ],\n [\n -95.537109375,\n 34.08906131584996\n ],\n [\n -82.24365234375,\n 34.08906131584996\n ],\n [\n -82.24365234375,\n 28.613459424004414\n ],\n [\n -95.537109375,\n 28.613459424004414\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2009-08-04","publicationStatus":"PW","scienceBaseUri":"55950f2ee4b0b6d21dd6cbdb","contributors":{"authors":[{"text":"Echelle, A.A.","contributorId":61981,"corporation":false,"usgs":true,"family":"Echelle","given":"A.A.","affiliations":[],"preferred":false,"id":564060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackler, J.C.","contributorId":105835,"corporation":false,"usgs":true,"family":"Hackler","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":564061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lack, Justin B.","contributorId":82038,"corporation":false,"usgs":true,"family":"Lack","given":"Justin B.","affiliations":[],"preferred":false,"id":564062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ballard, S. R.","contributorId":145446,"corporation":false,"usgs":false,"family":"Ballard","given":"S.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roman, J.","contributorId":145447,"corporation":false,"usgs":false,"family":"Roman","given":"J.","email":"","affiliations":[],"preferred":false,"id":564064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fox, S. F.","contributorId":100984,"corporation":false,"usgs":true,"family":"Fox","given":"S.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":564065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leslie, David M. Jr. 0000-0002-3884-1484 cleslie@usgs.gov","orcid":"https://orcid.org/0000-0002-3884-1484","contributorId":2483,"corporation":false,"usgs":true,"family":"Leslie","given":"David","suffix":"Jr.","email":"cleslie@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":549061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Den Bussche, Ronald A.","contributorId":41121,"corporation":false,"usgs":true,"family":"Van Den Bussche","given":"Ronald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":564066,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156473,"text":"70156473 - 2010 - Coalbed methane resources of the Appalachian Basin, eastern USA","interactions":[],"lastModifiedDate":"2022-11-08T19:49:11.743877","indexId":"70156473","displayToPublicDate":"2010-06-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Coalbed methane resources of the Appalachian Basin, eastern USA","docAbstract":"In 2002, the U.S. Geological Survey (USGS) assessed the technically recoverable, undiscovered coalbed-gas resources in the Appalachian basin and Black Warrior basin Assessment Provinces as about 15.5 trillion cubic feet. Although these resources are almost equally divided between the two areas, most of the production occurs within relatively small areas within these Provinces, where local geological and geochemical attributes have resulted in the generation and retention of large amounts of methane within the coal beds and have enhanced the producibility of the gas from the coal. In the Appalachian basin, coalbed methane (CBM) tests are commonly commercial where the cumulative coal thickness completed in wells is greater than three meters (10 ft), the depth of burial of the coal beds is greater than 100 m (350 ft), and the coal is in the thermogenic gas window. In addition to the ubiquitous cleating within the coal beds, commercial production may be enhanced by secondary fracture porosity related to supplemental fracture systems within the coal beds. In order to release the methane from microporus coal matrix, most wells are dewatered prior to commercial production of gas. Two Total Petroleum Systems (TPS) were defined by the USGS during the assessment: the Pottsville Coal-bed gas TPS in Alabama, and the Carboniferous Coal-bed Gas TPS in Pennsylvania, Ohio, West Virginia, eastern Kentucky, Virginia, Tennessee, and Alabama. These were divided into seven assessment units, of which three had sufficient data to be assessed. Production rates are higher in most horizontal wells drilled into relatively thick coal beds, than in vertical wells; recovery per unit area is greater, and potential adverse environmental impact is decreased.
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,{"id":70138811,"text":"70138811 - 2010 - A comparison of methods for estimating open-water evaporation in small wetlands","interactions":[],"lastModifiedDate":"2018-10-10T10:25:27","indexId":"70138811","displayToPublicDate":"2010-06-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of methods for estimating open-water evaporation in small wetlands","docAbstract":"We compared evaporation measurements from a floating pan, land pan, chamber, and the Priestley-Taylor (PT) equation. Floating pan, land pan, and meteorological data were collected from June 6 to July 21, 2005, at a small wetland in the Canadian River alluvium in central Oklahoma, USA. Evaporation measured with the floating pan compared favorably to 12 h chamber measurements. Differences between chamber and floating pan rates ranged from −0.2 to 0.3 mm, mean of 0.1 mm. The difference between chamber and land pan rates ranged from 0.8 to 2.0 mm, mean of 1.5 mm. The mean chamber-to-floating pan ratio was 0.97 and the mean chamber-to-land pan ratio was 0.73. The chamber-to-floating pan ratio of 0.97 indicates the use of a floating pan to measure evaporation in small limited-fetch water bodies is an appropriate and accurate method for the site investigated. One-sided Paired t-Tests indicate daily floating pan rates were significantly less than land pan and PT rates. A two-sided Paired t-Test indicated there was no significant difference between land pan and PT values. The PT equation tends to overestimate evaporation during times when the air is of low drying power and tends to underestimate as drying power increases.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-010-0041-y","usgsCitation":"Masoner, J.R., and Stannard, D.I., 2010, A comparison of methods for estimating open-water evaporation in small wetlands: Wetlands, v. 30, no. 3, p. 513-524, https://doi.org/10.1007/s13157-010-0041-y.","productDescription":"12 p.","startPage":"513","endPage":"524","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013356","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Canadian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.919921875,\n 37.020098201368114\n ],\n [\n -94.2626953125,\n 36.914764288955936\n ],\n [\n -94.4384765625,\n 33.43144133557529\n ],\n [\n -100.107421875,\n 34.415973384481866\n ],\n [\n -102.919921875,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-19","publicationStatus":"PW","scienceBaseUri":"54dd2b17e4b08de9379b3235","contributors":{"authors":[{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":538919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stannard, David I. distanna@usgs.gov","contributorId":562,"corporation":false,"usgs":true,"family":"Stannard","given":"David","email":"distanna@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":538918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201010,"text":"70201010 - 2010 - The construction of Chasma Boreale on Mars","interactions":[],"lastModifiedDate":"2018-11-20T16:36:05","indexId":"70201010","displayToPublicDate":"2010-05-27T10:43:24","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"The construction of Chasma Boreale on Mars","docAbstract":"The polar layered deposits of Mars contain the planet’s largest known reservoir of water ice1,2 and the prospect of revealing a detailed Martian palaeoclimate record3,4, but the mechanisms responsible for the formation of the dominant features of the north polar layered deposits (NPLD) are unclear, despite decades of debate. Stratigraphic analyses of the exposed portions of Chasma Boreale—a large canyon 500 km long, up to 100 km wide, and nearly 2 km deep—have led most researchers to favour an erosional process for its formation following initial NPLD accumulation. Candidate mechanisms include the catastrophic outburst of water5, protracted basal melting6, erosional undercutting7, aeolian downcutting7,8,9 and a combination of these processes10. Here we use new data from the Mars Reconnaissance Orbiter to show that Chasma Boreale is instead a long-lived, complex feature resulting primarily from non-uniform accumulation of the NPLD. The initial valley that later became Chasma Boreale was matched by a second, equally large valley that was completely filled in by subsequent deposition, leaving no evidence on the surface to indicate its former presence. We further demonstrate that topography existing before the NPLD began accumulating influenced successive episodes of deposition and erosion, resulting in most of the present-day topography. Long-term and large-scale patterns of mass balance achieved through sedimentary processes, rather than catastrophic events, ice flow or highly focused erosion, have produced the largest geomorphic anomaly in the north polar ice of Mars.
","language":"English","publisher":"Nature","doi":"10.1038/nature09050","usgsCitation":"Holt, J., Fishbaugh, K.E., Byrne, S., Christian, S., Tanaka, K.L., Russell, P., Herkenhoff, K.E., Safaeinili, A., Putzig, N.E., and Phillips, R., 2010, The construction of Chasma Boreale on Mars: Nature, v. 465, p. 446-449, https://doi.org/10.1038/nature09050.","productDescription":"4 p.","startPage":"446","endPage":"449","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"465","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf52b6be4b045bfcae28022","contributors":{"authors":[{"text":"Holt, J.W.","contributorId":74121,"corporation":false,"usgs":true,"family":"Holt","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":751684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fishbaugh, Kathryn E.","contributorId":210540,"corporation":false,"usgs":false,"family":"Fishbaugh","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":751685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, S.","contributorId":105083,"corporation":false,"usgs":true,"family":"Byrne","given":"S.","email":"","affiliations":[],"preferred":false,"id":751686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christian, S.","contributorId":210753,"corporation":false,"usgs":false,"family":"Christian","given":"S.","email":"","affiliations":[{"id":13127,"text":"Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":751687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":751688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, P.S.","contributorId":100987,"corporation":false,"usgs":true,"family":"Russell","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":751689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":751690,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Safaeinili, A.","contributorId":98025,"corporation":false,"usgs":true,"family":"Safaeinili","given":"A.","affiliations":[],"preferred":false,"id":751691,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Putzig, Nathaniel E. 0000-0003-4485-6321","orcid":"https://orcid.org/0000-0003-4485-6321","contributorId":208684,"corporation":false,"usgs":true,"family":"Putzig","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":751692,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Phillips, R.J.","contributorId":93174,"corporation":false,"usgs":true,"family":"Phillips","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":751693,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70210253,"text":"70210253 - 2010 - Comparative analysis of Mourning Dove population change in North America","interactions":[],"lastModifiedDate":"2020-05-27T12:11:47.772599","indexId":"70210253","displayToPublicDate":"2010-05-26T14:00:55","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparative analysis of Mourning Dove population change in North America","docAbstract":"Mourning doves (Zenaida macroura) are surveyed in North America with a Call-Count Survey (CCS) and the North American Breeding Bird Survey (BBS). Analyses in recent years have identified inconsistencies in results between surveys, and a need exists to analyze the surveys using modern methods and examine possible causes of differences in survey results. Call-Count Survey observers collect separate information on number of doves heard and number of doves seen during counting, whereas BBS observers record one index containing all doves observed. We used hierarchical log-linear models to estimate trend and annual indices of abundance for 1966–2007 from BBS data, CCS-heard data, and CCS-seen data. Trend estimates from analyses provided inconsistent results for several states and for eastern and central dovemanagement units. We examined differential effects of change in land use and noise-related disturbance on the CCS indices. Changes in noiserelated disturbance along CCS routes had a larger influence on the heard index than on the seen index, but association analyses among states of changes in temperature and of amounts of developed land suggest that CCS indices are differentially influenced by changes in these environmental features. Our hierarchical model should be used to estimate population change from dove surveys, because it provides an efficient framework for estimating population trends from dove indices while controlling for environmental features that differentially influence the indices.
","language":"English","publisher":"BioOne","doi":"10.2193/2008-459","usgsCitation":"Sauer, J.R., Link, W.A., Kendall, W.L., and Dolton, D., 2010, Comparative analysis of Mourning Dove population change in North America: Journal of Wildlife Management, v. 74, no. 5, p. 1059-1069, https://doi.org/10.2193/2008-459.","productDescription":"11 p.","startPage":"1059","endPage":"1069","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":375039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":789767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":789768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":789769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dolton, David D.","contributorId":100452,"corporation":false,"usgs":true,"family":"Dolton","given":"David D.","affiliations":[],"preferred":false,"id":789770,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98413,"text":"ofr20071024 - 2010 - Biological, Physical and Chemical Data From Gulf of Mexico Gravity and Box Core MRD05-04","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ofr20071024","displayToPublicDate":"2010-05-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1024","title":"Biological, Physical and Chemical Data From Gulf of Mexico Gravity and Box Core MRD05-04","docAbstract":"This paper presents the benthic foraminiferal census data, magnetic susceptibility measurements, vanadium and organic geochemistry (carbon isotope, sterols, and total organic carbon) data from the MRD05-04 gravity and box cores. The MRD05-04 cores were obtained from the Louisiana continental shelf in an on-going initiative to examine the geographic and temporal extent of hypoxia, low-oxygen bottom-water content, and geochemical transport. The development of low-oxygen bottom water conditions in coastal waters is dependent upon a new source of bio-available nutrients introduced into a well-stratified water column. A number of studies have concluded that the development of the current seasonal hypoxia (dissolved oxygen < 2 mg L-1) in subsurface waters of the northern Gulf of Mexico is related to increased transport of nutrients (primarily nitrogen, but possibly also phosphorous) by the Mississippi River. However, the development of earlier episodes of seasonal low-oxygen subsurface water on the Louisiana shelf may be related to Mississippi River discharge.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071024","usgsCitation":"Osterman, L.E., Campbell, P.L., Swarzenski, P.W., and Ricardo, J.P., 2010, Biological, Physical and Chemical Data From Gulf of Mexico Gravity and Box Core MRD05-04: U.S. Geological Survey Open-File Report 2007-1024, 18 p., https://doi.org/10.3133/ofr20071024.","productDescription":"18 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2007_1024.jpg"},{"id":13665,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1024/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db623379","contributors":{"authors":[{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Pamela L.","contributorId":76719,"corporation":false,"usgs":true,"family":"Campbell","given":"Pamela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricardo, John P.","contributorId":73307,"corporation":false,"usgs":true,"family":"Ricardo","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":305235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98412,"text":"ofr20061012 - 2010 - Biological, Physical, And Chemical Data From Gulf of Mexico Core PE0305-GC1","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ofr20061012","displayToPublicDate":"2010-05-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1012","title":"Biological, Physical, And Chemical Data From Gulf of Mexico Core PE0305-GC1","docAbstract":"This paper presents benthic foraminiferal census data, and magnetic susceptibility, 210Pb , radiocarbon, and geochemical measurements from gravity core PE0305-GC1 (=GC1). Core GC1 was collected from the Louisiana continental shelf as part of an initiative to investigate the geographic and temporal extent of hypoxia, low-oxygen water, in the Gulf of Mexico. Hypoxia (<1.4 ml/l or <2 ppm oxygen concentration) in Gulf of Mexico waters can eventually lead to death of marine species. The development of hypoxia off the Mississippi delta has increased steadily since routine and systematic measurements were begun in 1985 and has been linked to the use of fertilizer in the Mississippi basin. Benthic foraminifers provide a proxy to track the development of hypoxia prior to 1985. Previous work determined that the relative occurrence of three low-oxygen-tolerant species is highest in the hypoxia zone. The cumulative percentage of these three species (% Pseudononion atlanticum + % Epistominella vitrea, + % Buliminella morgani = PEB index of hypoxia) was used to investigate fluctuation in paleohypoxia in four cores, including the upper 60 cm of GC1. In this report, we compile all available data from GC1 as the basis for further publications.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20061012","usgsCitation":"Osterman, L.E., Swarzenski, P.W., and Hollander, D., 2010, Biological, Physical, And Chemical Data From Gulf of Mexico Core PE0305-GC1: U.S. Geological Survey Open-File Report 2006-1012, 28 p., https://doi.org/10.3133/ofr20061012.","productDescription":"28 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118462,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2006_1012.jpg"},{"id":13664,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1012/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db62339b","contributors":{"authors":[{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollander, David","contributorId":19255,"corporation":false,"usgs":true,"family":"Hollander","given":"David","affiliations":[],"preferred":false,"id":305232,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98415,"text":"ds510 - 2010 - Soil geochemical data for the Wyoming Landscape Conservation Initiative study area","interactions":[],"lastModifiedDate":"2025-05-15T14:05:26.739767","indexId":"ds510","displayToPublicDate":"2010-05-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"510","title":"Soil geochemical data for the Wyoming Landscape Conservation Initiative study area","docAbstract":"In 2008, soil samples were collected at 139 sites throughout the Wyoming Landscape Conservation Initiative study area in southwest Wyoming. These samples, representing a density of 1 site per 440 square kilometers, were collected from a depth of 0-5 cm and analyzed for a suite of more than 40 major and trace elements following a near-total multi-acid extraction. In addition, soil pH, electrical conductivity, total nitrogen, total and organic carbon, and sodium adsorption ratio were determined. The resulting data set provides a baseline for detecting changes in soil composition that might result from natural processes or anthropogenic activities. This report describes the sampling and analytical protocols used, and makes available all the soil geochemical data generated in the study.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds510","usgsCitation":"Smith, D., and Ellefsen, K.J., 2010, Soil geochemical data for the Wyoming Landscape Conservation Initiative study area: U.S. Geological Survey Data Series 510, iv, 10 p., https://doi.org/10.3133/ds510.","productDescription":"iv, 10 p.","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118460,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_510.jpg"},{"id":13667,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/510/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,43.5 ], [ -106.5,43.5 ], [ -106.5,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a34e4b07f02db619ce9","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":305241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":305240,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98408,"text":"cir1346 - 2010 - The quality of our Nation’s waters: Quality of water from public-supply wells in the United States, 1993–2007: Overview of major findings","interactions":[],"lastModifiedDate":"2021-08-24T20:54:15.794125","indexId":"cir1346","displayToPublicDate":"2010-05-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1346","title":"The quality of our Nation’s waters: Quality of water from public-supply wells in the United States, 1993–2007: Overview of major findings","docAbstract":"Summary of Major Findings and Implications\r\nAbout 105 million people in the United States-more than one-third of the Nation's population-receive their drinking water from about 140,000 public water systems that use groundwater as their source. Although the quality of finished drinking water (after treatment and before distribution) from these public water systems is regulated by the U.S. Environmental Protection Agency (USEPA) under the Safe Drinking Water Act (SDWA), long-term protection and management of groundwater, a vital source of drinking water, requires an understanding of the occurrence of contaminants in untreated source water. Sources of drinking water are potentially vulnerable to a wide range of man-made and naturally occurring contaminants, including many that are not regulated in drinking water under the SDWA. \r\n\r\nIn this study by the National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey (USGS), chemical water-quality conditions were assessed in source (untreated) groundwater from 932 public-supply wells, hereafter referred to as public wells, and in source and finished water from a subset of 94 wells. The public wells are located in selected parts of 41 states and withdraw water from parts of 30 regionally extensive water-supply aquifers, which constitute about one-half of the principal aquifers in the United States. Although the wells sampled in this study represent less than 1 percent of all groundwater-supplied public water systems in the United States, they are widely distributed nationally and were randomly selected within the sampled hydrogeologic settings to represent typical aquifer conditions. All source-water samples were collected prior to any treatment or blending that potentially could alter contaminant concentrations. As a result, the sampled groundwater represents the quality of the source water and not necessarily the quality of finished water ingested by the people served by these public wells.\r\n\r\nA greater number of chemical contaminants-as many as 337-both naturally occurring and man-made, were assessed in this study than in any previous national study of public wells (Appendixes 1 and 2). Consistent with the terminology used in the SDWA, all constituents analyzed in water samples in this study are referred to as 'contaminants,' regardless of their source, concentration, or potential for health effects (see sidebar on page 3). Eighty-three percent (279) of the contaminants analyzed in this study are not regulated in drinking water under the SDWA. The USEPA uses USGS data on the occurrence of unregulated contaminants to fulfill part of the SDWA requirements for determining whether specific contaminants should be regulated in drinking water in the future. By focusing primarily on source-water quality, and by analyzing many contaminants that are not regulated in drinking water by USEPA, this study complements the extensive sampling of public water systems that is routinely conducted for the purposes of regulatory compliance monitoring by federal, state, and local drinking-water programs. \r\n\r\nThe objectives of this study were to evaluate (1) the occurrence of contaminants in source water from public wells and their potential significance to human health, (2) whether contaminants that occur in source water also occur in finished water after treatment, and (3) the occurrence and characteristics of contaminant mixtures. To evaluate the potential significance of contaminant occurrence to human health, contaminant concentrations were compared to regulatory Maximum Contaminant Levels (MCLs) or non-regulatory Health-Based Screening Levels (HBSLs)-collectively referred to as human-health benchmarks in this study (see sidebars on pages 4 and 19).\r\n\r\nThe major findings and implications of this study are summarized below and the results are described in greater detail in the remainder of the report. These findings build upon water-quality data from previous public-well studies and","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1346","usgsCitation":"Toccalino, P., and Hopple, J.A., 2010, The quality of our Nation’s waters: Quality of water from public-supply wells in the United States, 1993–2007: Overview of major findings: U.S. Geological Survey Circular 1346, v, 58 p., https://doi.org/10.3133/cir1346.","productDescription":"v, 58 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1993-01-01","temporalEnd":"1997-12-31","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":125409,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1346.jpg"},{"id":388458,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93249.htm"},{"id":13659,"rank":100,"type":{"id":15,"text":"Index 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L.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":305228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopple, Jessica A. 0000-0003-3180-2252 jahopple@usgs.gov","orcid":"https://orcid.org/0000-0003-3180-2252","contributorId":992,"corporation":false,"usgs":true,"family":"Hopple","given":"Jessica","email":"jahopple@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305227,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98407,"text":"sir20105024 - 2010 - Quality of Source Water from Public-Supply Wells in the United States, 1993-2007","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"sir20105024","displayToPublicDate":"2010-05-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5024","title":"Quality of Source Water from Public-Supply Wells in the United States, 1993-2007","docAbstract":"More than one-third of the Nation's population receives their drinking water from public water systems that use groundwater as their source. The U.S. Geological Survey (USGS) sampled untreated source water from 932 public-supply wells, hereafter referred to as public wells, as part of multiple groundwater assessments conducted across the Nation during 1993-2007. The objectives of this study were to evaluate (1) contaminant occurrence in source water from public wells and the potential significance of contaminant concentrations to human health, (2) national and regional distributions of groundwater quality, and (3) the occurrence and characteristics of contaminant mixtures. Treated finished water was not sampled. \r\n\r\nThe 932 public wells are widely distributed nationally and include wells in selected parts of 41 states and withdraw water from parts of 30 regionally extensive aquifers used for public water supply. These wells are distributed among 629 unique public water systems-less than 1 percent of all groundwater-supplied public water systems in the United States-but the wells were randomly selected within the sampled hydrogeologic settings to represent typical aquifer conditions. Samples from the 629 systems represent source water used by one-quarter of the U.S. population served by groundwater-supplied public water systems, or about 9 percent of the entire U.S. population in 2008. \r\n\r\nOne groundwater sample was collected prior to treatment or blending from each of the 932 public wells and analyzed for as many as six water-quality properties and 215 contaminants. Consistent with the terminology used in the Safe Drinking Water Act (SDWA), all constituents analyzed in water samples in this study are referred to as 'contaminants'. More contaminant groups were assessed in this study than in any previous national study of public wells and included major ions, nutrients, radionuclides, trace elements, pesticide compounds, volatile organic compounds (VOCs), and fecal-indicator microorganisms. Contaminant mixtures were assessed in subsets of samples in which most contaminants were analyzed. \r\n\r\nContaminant concentrations were compared to human-health benchmarks-regulatory U.S. Environmental Protection Agency (USEPA) Maximum Contaminant Levels (MCLs) for contaminants regulated in drinking water under the SDWA or non-regulatory USGS Health-Based Screening Levels (HBSLs) for unregulated contaminants, when available. Nearly three-quarters of the contaminants assessed in this study are unregulated in drinking water, and the USEPA uses USGS data on the occurrence of unregulated contaminants in water resources to fulfill part of the SDWA requirements for determining whether specific contaminants should be regulated in drinking water in the future.\r\n\r\nMore than one in five (22 percent) source-water samples from public wells contained one or more naturally occurring or man-made contaminants at concentrations greater than human-health benchmarks, and 80 percent of samples contained one or more contaminants at concentrations greater than one-tenth of benchmarks. Most individual contaminant detections, however, were less than one-tenth of human-health benchmarks. Public wells yielding water with contaminant concentrations greater than benchmarks, as well as those with concentrations greater than one-tenth of benchmarks, were distributed throughout the United States and included wells that withdraw water from all principal aquifer rock types included in this study. \r\n\r\nTen contaminants individually were detected at concentrations greater than human-health benchmarks in at least 1 percent of source-water samples and collectively accounted for most concentrations greater than benchmarks. Seven of these 10 contaminants occur naturally, including three radionuclides (radon, radium, and gross alpha-particle radioactivity) and four trace elements (arsenic, manganese, strontium, and boron); three of these 10 contaminants (dieldrin, nitrate, and perchl","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105024","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Toccalino, P., Norman, J.E., and Hitt, K.J., 2010, Quality of Source Water from Public-Supply Wells in the United States, 1993-2007: U.S. Geological Survey Scientific Investigations Report 2010-5024, Report: xiv, 126 p.; Appendixes, https://doi.org/10.3133/sir20105024.","productDescription":"Report: xiv, 126 p.; Appendixes","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":125407,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5024.jpg"},{"id":13658,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5024/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db696895","contributors":{"authors":[{"text":"Toccalino, Patricia L. 0000-0003-1066-1702","orcid":"https://orcid.org/0000-0003-1066-1702","contributorId":41089,"corporation":false,"usgs":true,"family":"Toccalino","given":"Patricia L.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":305225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Julia E. 0000-0002-2820-6225 jnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2820-6225","contributorId":3832,"corporation":false,"usgs":true,"family":"Norman","given":"Julia","email":"jnorman@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Kerie J.","contributorId":54565,"corporation":false,"usgs":true,"family":"Hitt","given":"Kerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305226,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98405,"text":"ofr20101023 - 2010 - Geophysical Logs, Specific Capacity, and Water Quality of Four Wells at Rogers Mechanical (former Tate Andale) Property, North Penn Area 6 Superfund Site, Lansdale, Pennsylvania, 2006-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"ofr20101023","displayToPublicDate":"2010-05-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1023","title":"Geophysical Logs, Specific Capacity, and Water Quality of Four Wells at Rogers Mechanical (former Tate Andale) Property, North Penn Area 6 Superfund Site, Lansdale, Pennsylvania, 2006-07","docAbstract":"As part of technical assistance to the U.S. Environmental Protection Agency (USEPA) in the remediation of properties on the North Penn Area 6 Superfund Site in Lansdale, Pa., the U.S. Geological Survey (USGS) in 2006-07 collected data in four monitor wells at the Rogers Mechanical (former Tate Andale) property. During this period, USGS collected and analyzed borehole geophysical and video logs of three new monitor wells (Rogers 4, Rogers 5, and Rogers 6) ranging in depth from 80 to 180 feet, a borehole video log and additional heatpulse-flowmeter measurements (to quantify vertical borehole flow) in one existing 100-foot deep well (Rogers 3S), and water-level data during development of two wells (Rogers 5 and Rogers 6) to determine specific capacity. USGS also summarized results of passive-diffusion bag sampling for volatile organic compounds (VOCs) in the four wells. These data were intended to help understand the groundwater system and the distribution of VOC contaminants in groundwater at the property.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101023","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Senior, L.A., and Bird, P.H., 2010, Geophysical Logs, Specific Capacity, and Water Quality of Four Wells at Rogers Mechanical (former Tate Andale) Property, North Penn Area 6 Superfund Site, Lansdale, Pennsylvania, 2006-07: U.S. Geological Survey Open-File Report 2010-1023, vi, 17 p., https://doi.org/10.3133/ofr20101023.","productDescription":"vi, 17 p.","onlineOnly":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":125401,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1023.jpg"},{"id":13656,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1023/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.31666666666666,40.21666666666667 ], [ -75.31666666666666,40.266666666666666 ], [ -75.25,40.266666666666666 ], [ -75.25,40.21666666666667 ], [ -75.31666666666666,40.21666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c45e","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bird, Philip H. 0000-0003-2088-8644 phbird@usgs.gov","orcid":"https://orcid.org/0000-0003-2088-8644","contributorId":2085,"corporation":false,"usgs":true,"family":"Bird","given":"Philip","email":"phbird@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305220,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209741,"text":"70209741 - 2010 - Flood hazard awareness and hydrologic modelling at Ambos Nogales, United States–Mexico border","interactions":[],"lastModifiedDate":"2020-04-23T15:46:51.335573","indexId":"70209741","displayToPublicDate":"2010-05-18T10:40:25","publicationYear":"2010","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":"Flood hazard awareness and hydrologic modelling at Ambos Nogales, United States–Mexico border","docAbstract":"Appropriate land‐use, watershed‐management, and flood‐attenuation plans are critical in the cross‐border urban environment known collectively as Ambos Nogales. This paper summarizes methodologies for predicting the watershed response associated with land‐use change within a spatial and temporal context through the use of a hydrological model in a cross‐border setting. The KINEROS2 model is implemented via the Automated Geospatial Watershed Assessment 2.0 geographic information system interface to evaluate the watershed of Nogales, Arizona, and Nogales, Sonora, Mexico, to assess flood vulnerability by quantifying volumes of runoff and peak flow, based on alternative land‐use scenarios. Cross‐border geospatial data acquisition and input to models are described. Discussions about the KINEROS2 model results identify flood‐prone areas, simulate the impact of land‐use change, and evaluate the impact of potential flood‐control interventions in the Ambos Nogales watershed. Products from this research are being used in a comprehensive plan for sustainable development in Ambos Nogales.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1753-318X.2010.01066.x","usgsCitation":"Norman, L.M., Huth, H., Levick, L., Burns, I.S., Guertin, D.P., Lara-Valencia, F., and Semmens, D.J., 2010, Flood hazard awareness and hydrologic modelling at Ambos Nogales, United States–Mexico border: Journal of Flood Risk Management, v. 3, no. 2, p. 151-165, https://doi.org/10.1111/j.1753-318X.2010.01066.x.","productDescription":"15 p.","startPage":"151","endPage":"165","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","city":"Ambos Nogales watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.14593505859375,\n 31.09998179374943\n ],\n [\n -110.48675537109375,\n 31.09998179374943\n ],\n [\n -110.48675537109375,\n 31.468496379205966\n ],\n [\n -111.14593505859375,\n 31.468496379205966\n ],\n [\n -111.14593505859375,\n 31.09998179374943\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":787774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huth, H.","contributorId":224328,"corporation":false,"usgs":false,"family":"Huth","given":"H.","email":"","affiliations":[],"preferred":false,"id":787775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levick, L.","contributorId":224329,"corporation":false,"usgs":false,"family":"Levick","given":"L.","email":"","affiliations":[],"preferred":false,"id":787776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, I. Shea","contributorId":224330,"corporation":false,"usgs":false,"family":"Burns","given":"I.","email":"","middleInitial":"Shea","affiliations":[],"preferred":false,"id":787777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guertin, D. Phillip","contributorId":46062,"corporation":false,"usgs":false,"family":"Guertin","given":"D.","email":"","middleInitial":"Phillip","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":787778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lara-Valencia, Francisco","contributorId":77409,"corporation":false,"usgs":true,"family":"Lara-Valencia","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":787779,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787780,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98396,"text":"sir20105020 - 2010 - Application of AFINCH as a tool for evaluating the effects of streamflow-gaging-network size and composition on the accuracy and precision of streamflow estimates at ungaged locations in the southeast Lake Michigan hydrologic subregion","interactions":[],"lastModifiedDate":"2023-03-20T20:09:14.851195","indexId":"sir20105020","displayToPublicDate":"2010-05-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5020","title":"Application of AFINCH as a tool for evaluating the effects of streamflow-gaging-network size and composition on the accuracy and precision of streamflow estimates at ungaged locations in the southeast Lake Michigan hydrologic subregion","docAbstract":"Bootstrapping techniques employing random subsampling were used with the AFINCH (Analysis of Flows In Networks of CHannels) model to gain insights into the effects of variation in streamflow-gaging-network size and composition on the accuracy and precision of streamflow estimates at ungaged locations in the 0405 (Southeast Lake Michigan) hydrologic subregion. AFINCH uses stepwise-regression techniques to estimate monthly water yields from catchments based on geospatial-climate and land-cover data in combination with available streamflow and water-use data. Calculations are performed on a hydrologic-subregion scale for each catchment and stream reach contained in a National Hydrography Dataset Plus (NHDPlus) subregion. Water yields from contributing catchments are multiplied by catchment areas and resulting flow values are accumulated to compute streamflows in stream reaches which are referred to as flow lines. AFINCH imposes constraints on water yields to ensure that observed streamflows are conserved at gaged locations.
Data from the 0405 hydrologic subregion (referred to as Southeast Lake Michigan) were used for the analyses. Daily streamflow data were measured in the subregion for 1 or more years at a total of 75 streamflow-gaging stations during the analysis period which spanned water years 1971–2003. The number of streamflow gages in operation each year during the analysis period ranged from 42 to 56 and averaged 47. Six sets (one set for each censoring level), each composed of 30 random subsets of the 75 streamflow gages, were created by censoring (removing) approximately 10, 20, 30, 40, 50, and 75 percent of the streamflow gages (the actual percentage of operating streamflow gages censored for each set varied from year to year, and within the year from subset to subset, but averaged approximately the indicated percentages).
Streamflow estimates for six flow lines each were aggregated by censoring level, and results were analyzed to assess (a) how the size and composition of the streamflow-gaging network affected the average apparent errors and variability of the estimated flows and (b) whether results for certain months were more variable than for others. The six flow lines were categorized into one of three types depending upon their network topology and position relative to operating streamflow-gaging stations.
Statistical analysis of the model results indicates that (1) less precise (that is, more variable) estimates resulted from smaller streamflow-gaging networks as compared to larger streamflow-gaging networks, (2) precision of AFINCH flow estimates at an ungaged flow line is improved by operation of one or more streamflow gages upstream and (or) downstream in the enclosing basin, (3) no consistent seasonal trend in estimate variability was evident, and (4) flow lines from ungaged basins appeared to exhibit the smallest absolute apparent percent errors (APEs) and smallest changes in average APE as a function of increasing censoring level. The counterintuitive results described in item (4) above likely reflect both the nature of the base-streamflow estimate from which the errors were computed and insensitivity in the average model-derived estimates to changes in the streamflow-gaging-network size and composition. Another analysis demonstrated that errors for flow lines in ungaged basins have the potential to be much larger than indicated by their APEs if measured relative to their true (but unknown) flows.
“Missing gage” analyses, based on examination of censoring subset results where the streamflow gage of interest was omitted from the calibration data set, were done to better understand the true error characteristics for ungaged flow lines as a function of network size. Results examined for 2 water years indicated that the probability of computing a monthly streamflow estimate within 10 percent of the true value with AFINCH decreased from greater than 0.9 at about a 10-percent network-censoring level to less than 0.6 as the censoring level approached 75 percent. In addition, estimates for typically dry months tended to be characterized by larger percent errors than typically wetter months.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105020","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Koltun, G., and Holtschlag, D.J., 2010, Application of AFINCH as a tool for evaluating the effects of streamflow-gaging-network size and composition on the accuracy and precision of streamflow estimates at ungaged locations in the southeast Lake Michigan hydrologic subregion: U.S. Geological Survey Scientific Investigations Report 2010-5020, iv, 14 p., https://doi.org/10.3133/sir20105020.","productDescription":"iv, 14 p.","onlineOnly":"N","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":125548,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5020.jpg"},{"id":414378,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93244.htm","linkFileType":{"id":5,"text":"html"}},{"id":13647,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5020/","linkFileType":{"id":5,"text":"html"}}],"scale":"0","country":"United States","state":"Indiana, Michigan","otherGeospatial":"southeast Lake Michigan hydrologic subregion","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.5667,\n 43.5417\n ],\n [\n -86.5667,\n 41.2944\n ],\n [\n -84,\n 41.2944\n ],\n [\n -84,\n 43.5417\n ],\n [\n -86.5667,\n 43.5417\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67abfa","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":305198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holtschlag, David J. 0000-0001-5185-4928 dholtschlag@usgs.gov","orcid":"https://orcid.org/0000-0001-5185-4928","contributorId":5447,"corporation":false,"usgs":true,"family":"Holtschlag","given":"David","email":"dholtschlag@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305197,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98398,"text":"ofr20101076 - 2010 - Distribution of potential hydrothermally altered rocks in central Colorado derived from Landsat Thematic Mapper data: A geographic information system data set","interactions":[],"lastModifiedDate":"2022-06-08T20:55:51.969595","indexId":"ofr20101076","displayToPublicDate":"2010-05-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1076","title":"Distribution of potential hydrothermally altered rocks in central Colorado derived from Landsat Thematic Mapper data: A geographic information system data set","docAbstract":"As part of the Central Colorado Mineral Resource Assessment Project, the digital image data for four Landsat Thematic Mapper scenes covering central Colorado between Wyoming and New Mexico were acquired and band ratios were calculated after masking pixels dominated by vegetation, snow, and terrain shadows. Ratio values were visually enhanced by contrast stretching, revealing only those areas with strong responses (high ratio values). A color-ratio composite mosaic was prepared for the four scenes so that the distribution of potentially hydrothermally altered rocks could be visually evaluated. To provide a more useful input to a Geographic Information System-based mineral resource assessment, the information contained in the color-ratio composite raster image mosaic was converted to vector-based polygons after thresholding to isolate the strongest ratio responses and spatial filtering to reduce vector complexity and isolate the largest occurrences of potentially hydrothermally altered rocks.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101076","usgsCitation":"Knepper, D.H., 2010, Distribution of potential hydrothermally altered rocks in central Colorado derived from Landsat Thematic Mapper data: A geographic information system data set: U.S. Geological Survey Open-File Report 2010-1076, iv, 14 p., https://doi.org/10.3133/ofr20101076.","productDescription":"iv, 14 p.","onlineOnly":"Y","costCenters":[{"id":170,"text":"Central Mineral and Environmental","active":false,"usgs":true}],"links":[{"id":125552,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1076.jpg"},{"id":401951,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93235.htm"},{"id":13649,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1076/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.617,\n 37\n ],\n [\n -105.8972,\n 37\n ],\n [\n -105.8972,\n 41\n ],\n [\n -106.617,\n 41\n ],\n [\n -106.617,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648753","contributors":{"authors":[{"text":"Knepper, Daniel H. dknepper@usgs.gov","contributorId":1242,"corporation":false,"usgs":true,"family":"Knepper","given":"Daniel","email":"dknepper@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":305203,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98395,"text":"ofr20101101 - 2010 - A Method for Qualitative Mapping of Thick Oil Spills Using Imaging Spectroscopy ","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"ofr20101101","displayToPublicDate":"2010-05-18T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1101","title":"A Method for Qualitative Mapping of Thick Oil Spills Using Imaging Spectroscopy ","docAbstract":"A method is described to create qualitative images of thick oil in oil spills on water using near-infrared imaging spectroscopy data. The method uses simple 'three-point-band depths' computed for each pixel in an imaging spectrometer image cube using the organic absorption features due to chemical bonds in aliphatic hydrocarbons at 1.2, 1.7, and 2.3 microns. 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