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,{"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":"<p><span>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.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2009.12.002","usgsCitation":"Milici, R.C., Hatch, J.R., and Pawlewicz, M.J., 2010, Coalbed methane resources of the Appalachian Basin, eastern USA: International Journal of Coal Geology, v. 82, no. 3-4, p. 160-174, https://doi.org/10.1016/j.coal.2009.12.002.","productDescription":"14 p.","startPage":"160","endPage":"174","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014321","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":307178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, Maryland, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, West Virginia","otherGeospatial":"Appalachia basin, Black Warrior basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.1772349848587,\n              32.60617351765971\n            ],\n            [\n              -85.19488316523514,\n              33.00638865401339\n            ],\n            [\n              -84.13304691552142,\n              34.44850870017865\n            ],\n            [\n              -82.28585557789057,\n              35.655033116716126\n            ],\n            [\n              -81.79319852391995,\n              36.73030802315243\n            ],\n            [\n              -80.3761254402848,\n              37.44233148830088\n            ],\n            [\n              -79.68042218212922,\n              38.50698634259359\n            ],\n            [\n              -78.34080155565464,\n              40.02403541761586\n            ],\n            [\n              -76.83060794686116,\n              41.192717003786925\n            ],\n            [\n              -78.24409936484965,\n              41.25247290987559\n            ],\n            [\n              -80.23785620019234,\n              41.342335351640884\n            ],\n            [\n              -81.41805273922962,\n              40.76739882672112\n            ],\n            [\n              -82.47726615944153,\n              39.63755342984686\n            ],\n            [\n              -83.56715666160146,\n              38.15773576754589\n            ],\n            [\n              -84.22984964199225,\n              37.07700800351755\n            ],\n            [\n              -84.06720954251827,\n              36.37648676643913\n            ],\n            [\n              -84.17600881138497,\n              35.91346082996118\n            ],\n            [\n              -84.66790032633628,\n              35.832765049113746\n            ],\n            [\n              -86.02615909547431,\n              34.428290075469775\n            ],\n            [\n              -87.300130820564,\n              34.25491952298243\n            ],\n            [\n              -87.71813488405401,\n              33.49819489038315\n            ],\n            [\n              -87.31792649864902,\n              32.90952614970911\n            ],\n            [\n              -86.1772349848587,\n              32.60617351765971\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"82","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84bb2e4b0518e3546efee","contributors":{"authors":[{"text":"Milici, Robert C. rmilici@usgs.gov","contributorId":563,"corporation":false,"usgs":true,"family":"Milici","given":"Robert","email":"rmilici@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":569269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatch, Joseph R. 0000-0001-9257-0278 jrhatch@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-0278","contributorId":722,"corporation":false,"usgs":true,"family":"Hatch","given":"Joseph","email":"jrhatch@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":569270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pawlewicz, Mark J. pawlewicz@usgs.gov","contributorId":752,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"Mark","email":"pawlewicz@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":569271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":"<p><span>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.</span></p>","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, <i>in</i> 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":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":"<p><span>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 (</span><i class=\"EmphasisTypeItalic\">F</i><span>&nbsp;</span><span>ST<i class=\"EmphasisTypeItalic\">msat</i>&nbsp;</span><span>&nbsp;=&nbsp;0.43, &Phi;</span><span>STmtDNA</span><span>&nbsp;=&nbsp;0.98). Past range-wide bottlenecks are indicated by several genetic signals, including low diversity for microsatellites (1.1&ndash;3.9 alleles/locus;&nbsp;</span><i class=\"EmphasisTypeItalic\">H</i><span>&nbsp;</span><span>e</span><span>&nbsp;=&nbsp;0.06&ndash;0.53) and mtDNA (</span><i class=\"EmphasisTypeItalic\">h</i><span>&nbsp;=&nbsp;0.00 for most drainages;&nbsp;</span><i class=\"EmphasisTypeItalic\">&pi;</i><span>&nbsp;=&nbsp;0.000&ndash;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.</span></p>","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":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":"<p><span>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</span><span>&nbsp;</span><span>years of Kirtland’s Warbler (</span><i>Dendroica kirtlandii</i><span>) 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</span><span>&nbsp;</span><span>years, respectively), but plantations were abandoned at earlier ages (13.9</span><span>&nbsp;</span><span>years) than wildfire areas (16.4</span><span>&nbsp;</span><span>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.</span></p>","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":"<p><span>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, SiO</span><sub>2</sub><span>, Cl, F, HCO</span><sub>3</sub><span>, SO</span><sub>4</sub><span>, NO</span><sub>3</sub><span>, and NH</span><sub>4</sub><span>) 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, SO</span><sub>4</sub><span>, and N loads (35–58%) in the Gibbon River. The largest source of HCO</span><sub>3</sub><span><span>&nbsp;</span>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 NH</span><sub>4</sub><span>, which decreased substantially downstream from Gibbon Geyser Basin, and SiO</span><sub>2</sub><span>, 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.</span></p>","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. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":704320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. 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":"<p><span>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.</span></p>","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":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":"<p><span>The polar layered deposits of Mars contain the planet’s largest known reservoir of water ice</span><sup>1,2</sup><span>&nbsp;and the prospect of revealing a detailed Martian palaeoclimate record</span><sup>3,4</sup><span>, 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 water</span><sup>5</sup><span>, protracted basal melting</span><sup>6</sup><span>, erosional undercutting</span><sup>7</sup><span>, aeolian downcutting</span><sup>7,8,9</sup><span>&nbsp;and a combination of these processes</span><sup>10</sup><span>. 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.</span></p>","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":"<p>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.</p>","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":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":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":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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon 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":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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,{"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":"<p><span>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.</span></p>","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. 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,{"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. The method is not quantitative because sub-pixel mixing and layering effects are not considered, which are necessary to make a quantitative volume estimate of oil.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101101","usgsCitation":"Clark, R.N., Swayze, G.A., Leifer, I., Livo, K., Lundeen, S., Eastwood, M., Green, R., Kokaly, R., Hoefen, T., Sarture, C., McCubbin, I., Roberts, D., Steele, D., Ryan, T., Dominguez, R., Pearson, N., and The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Team, 2010, A Method for Qualitative Mapping of Thick Oil Spills Using Imaging Spectroscopy : U.S. Geological Survey Open-File Report 2010-1101, https://doi.org/10.3133/ofr20101101.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":198018,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13646,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1101/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd495be4b0b290850ef17d","contributors":{"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leifer, Ira","contributorId":57988,"corporation":false,"usgs":true,"family":"Leifer","given":"Ira","email":"","affiliations":[],"preferred":false,"id":305188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livo, K. 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,{"id":98401,"text":"ofr20101030 - 2010 - Geophysical surveys of the San Andreas and Crystal Springs Reservoir system, including seismic-reflection profiles and swath bathymetry, San Mateo County, California","interactions":[],"lastModifiedDate":"2022-06-29T18:48:08.28907","indexId":"ofr20101030","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":"2010-1030","title":"Geophysical surveys of the San Andreas and Crystal Springs Reservoir system, including seismic-reflection profiles and swath bathymetry, San Mateo County, California","docAbstract":"<p>This report describes geophysical data acquired by the U.S. Geological Survey (USGS) in San Andreas Reservoir and Upper and Lower Crystal Springs Reservoirs, San Mateo County, California, as part of an effort to refine knowledge of the location of traces of the San Andreas Fault within the reservoir system and to provide improved reservoir bathymetry for estimates of reservoir water volume. The surveys were conducted by the Western Coastal and Marine Geology (WCMG) Team of the USGS for the San Francisco Public Utilities Commission (SFPUC). The data were acquired in three separate surveys: (1) in June 2007, personnel from WCMG completed a three-day survey of San Andreas Reservoir, collecting approximately 50 km of high-resolution Chirp subbottom seismic-reflection data; (2) in November 2007, WCMG conducted a swath-bathymetry survey of San Andreas reservoir; and finally (3) in April 2008, WCMG conducted a swath-bathymetry survey of both the upper and lower Crystal Springs Reservoir system.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101030","usgsCitation":"Finlayson, D.P., Triezenberg, P., and Hart, P.E., 2010, Geophysical surveys of the San Andreas and Crystal Springs Reservoir system, including seismic-reflection profiles and swath bathymetry, San Mateo County, California: U.S. Geological Survey Open-File Report 2010-1030, HTML Document, https://doi.org/10.3133/ofr20101030.","productDescription":"HTML Document","costCenters":[{"id":646,"text":"Western Coastal and Marine Geology Team of the USGS for the San Francisco Public Utilities Commission","active":false,"usgs":true}],"links":[{"id":197733,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402706,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93240.htm","linkFileType":{"id":5,"text":"html"}},{"id":13652,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1030/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"San Mateo County","otherGeospatial":"San Andreas and Crystal Springs Reservoir system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.41790771484375,\n              37.32976463711538\n            ],\n            [\n              -122.16110229492186,\n              37.32976463711538\n            ],\n            [\n              -122.16110229492186,\n              37.60335225883687\n            ],\n            [\n              -122.41790771484375,\n              37.60335225883687\n            ],\n            [\n              -122.41790771484375,\n              37.32976463711538\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e9b5","contributors":{"authors":[{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":305209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305208,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":98400,"text":"ds503 - 2010 - Oblique Aerial Photography of the Arctic Coast of Alaska, Cape Sabine to Milne Point, July 16-19, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"ds503","displayToPublicDate":"2010-05-18T00:00:00","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":"503","title":"Oblique Aerial Photography of the Arctic Coast of Alaska, Cape Sabine to Milne Point, July 16-19, 2009","docAbstract":"The Arctic Coastal Plain of northern Alaska, an area of strategic economic importance to the United States, is home to remote Native American communities and encompasses unique habitats of global significance. Coastal erosion along the Arctic coast is chronic and widespread; recent evidence suggests that erosion rates are among the highest in the world (as high as ~16 m/yr) and may be accelerating. Coastal erosion adversely impacts energy-related infrastructure, natural shoreline habitats, and Native American communities. Climate change is thought to be a key component of recent environmental changes in the Arctic. Reduced sea-ice cover in the Arctic Ocean is one of the probable mechanisms responsible for increasing coastal exposure to wave attack and the resulting increase in erosion. Extended periods of permafrost melting and associated decreases in bluff cohesion and stability are another possible source of the increase in erosion. \r\n\r\nSeveral studies of selected areas on the Alaska coast document past shoreline positions and coastal change, but none have examined the entire North coast systematically. Results from these studies indicate high rates of coastal retreat that vary spatially along the coast. To address the need for a comprehensive and regionally consistent evaluation of shoreline change along the North coast of Alaska, the U.S. Geological Survey (USGS), as part of their Coastal and Marine Geology Program's (CMGP) National Assessment of Shoreline Change Study, is evaluating shoreline change from Peard Bay to the United States/Canadian border, using historical maps and photography and a standardized methodology that is consistent with other shoreline-change studies along the Nation's coastlines (see, for example, http://coastal.er.usgs.gov/shoreline-change/, last accessed February 12, 2010). \r\n\r\nThis is the second in a series of publications containing photographs collected during reconnaissance surveys conducted in support of the National Assessment of Shoreline Change Study. An accompanying ESRI ArcGIS shape file (and plaintext copy) indicates the position of the aircraft and time when each photograph was taken. The USGS-CMGP Field Activity ID for the survey is A-5-09-AK, and more information on the survey and how to view the photographs using Google Earth software is available online at http://walrus.wr.usgs.gov/infobank/a/a509ak/html/a-5-09-ak.photos.kmz (last accessed February 12, 2010). The initial report ?Oblique aerial photography of the Arctic coast of Alaska, Nulavik to Demarcation Point, August 7-10, 2006? is available online at http://pubs.usgs.gov/ds/436/, and the associated Google Earth .kmz file is available at http://walrus.wr.usgs.gov/infobank/a/a106ak/html/a-1-06-ak.photos.kmz (last accessed February 12, 2010). \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds503","usgsCitation":"Gibbs, A.E., and Richmond, B.M., 2010, Oblique Aerial Photography of the Arctic Coast of Alaska, Cape Sabine to Milne Point, July 16-19, 2009: U.S. Geological Survey Data Series 503, iv, 4 p., https://doi.org/10.3133/ds503.","productDescription":"iv, 4 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":125550,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_503.jpg"},{"id":13651,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/503/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -170,66 ], [ -170,72 ], [ -141,72 ], [ -141,66 ], [ -170,66 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db604503","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":"<p>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.&nbsp;&nbsp;</p><p>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&nbsp;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&nbsp;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).</p><p>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.&nbsp;&nbsp;&nbsp;&nbsp;</p><p>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.&nbsp;&nbsp;&nbsp;&nbsp;</p><p>&nbsp;“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.</p>","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":98391,"text":"ofr20091028 - 2010 - A Review of Land-Cover Mapping Activities in Coastal Alabama and Mississippi","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20091028","displayToPublicDate":"2010-05-15T00:00:00","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":"2009-1028","title":"A Review of Land-Cover Mapping Activities in Coastal Alabama and Mississippi","docAbstract":"INTRODUCTION\r\nLand-use and land-cover (LULC) data provide important information for environmental management. Data pertaining to land-cover and land-management activities are a common requirement for spatial analyses, such as watershed modeling, climate change, and hazard assessment. In coastal areas, land development, storms, and shoreline modification amplify the need for frequent and detailed land-cover datasets. The northern Gulf of Mexico coastal area is no exception. The impact of severe storms, increases in urban area, dramatic changes in land cover, and loss of coastal-wetland habitat all indicate a vital need for reliable and comparable land-cover data. \r\n\r\nFour main attributes define a land-cover dataset: the date/time of data collection, the spatial resolution, the type of classification, and the source data. The source data are the foundation dataset used to generate LULC classification and are typically remotely sensed data, such as aerial photography or satellite imagery. These source data have a large influence on the final LULC data product, so much so that one can classify LULC datasets into two general groups: LULC data derived from aerial photography and LULC data derived from satellite imagery. The final LULC data can be converted from one format to another (for instance, vector LULC data can be converted into raster data for analysis purposes, and vice versa), but each subsequent dataset maintains the imprint of the source medium within its spatial accuracy and data features. The source data will also influence the spatial and temporal resolution, as well as the type of classification.\r\n\r\nThe intended application of the LULC data typically defines the type of source data and methodology, with satellite imagery being selected for large landscapes (state-wide, national data products) and repeatability (environmental monitoring and change analysis). The coarse spatial scale and lack of refined land-use categories are typical drawbacks to satellite-based land-use classifications. Aerial photography is typically selected for smaller landscapes (watershed-basin scale), for greater definition of the land-use categories, and for increased spatial resolution. Disadvantages of using photography include time-consuming digitization, high costs for imagery collection, and lack of seasonal data. Recently, the availability of high-resolution satellite imagery has generated a new category of LULC data product. These new datasets have similar strengths to the aerial-photo-based LULC in that they possess the potential for refined definition of land-use categories and increased spatial resolution but also have the benefit of satellite-based classifications, such as repeatability for change analysis. LULC classification based on high-resolution satellite imagery is still in the early stages of development but merits greater attention because environmental-monitoring and landscape-modeling programs rely heavily on LULC data.\r\n\r\nThis publication summarizes land-use and land-cover mapping activities for Alabama and Mississippi coastal areas within the U.S. Geological Survey (USGS) Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility Project boundaries. Existing LULC datasets will be described, as well as imagery data sources and ancillary data that may provide ground-truth or satellite training data for a forthcoming land-cover classification. Finally, potential areas for a high-resolution land-cover classification in the Alabama-Mississippi region will be identified.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091028","usgsCitation":"Smith, K., Nayegandhi, A., and Brock, J., 2010, A Review of Land-Cover Mapping Activities in Coastal Alabama and Mississippi: U.S. Geological Survey Open-File Report 2009-1028, iv, 19 p. , https://doi.org/10.3133/ofr20091028.","productDescription":"iv, 19 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":118680,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1028.jpg"},{"id":13642,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1028/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.33333333333333,29.666666666666668 ], [ -90.33333333333333,31.416666666666668 ], [ -87,31.416666666666668 ], [ -87,29.666666666666668 ], [ -90.33333333333333,29.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4967e4b0b290850ef21d","contributors":{"authors":[{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":305167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":305168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":305166,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98383,"text":"ofr20101080 - 2010 - Chemistry of selected core samples, concentrate, tailings, and tailings pond waters: Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri","interactions":[],"lastModifiedDate":"2022-06-10T19:06:01.12288","indexId":"ofr20101080","displayToPublicDate":"2010-05-15T00:00:00","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":"2010-1080","title":"Chemistry of selected core samples, concentrate, tailings, and tailings pond waters: Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri","docAbstract":"The Minerals at Risk and for Emerging Technologies Project of the U.S. Geological Survey (USGS) Mineral Resources Program is examining potential sources of lanthanide elements (rare earth elements) as part of its objective to provide up-to-date geologic information regarding mineral commodities likely to have increased demand in the near term. As part of the examination effort, a short visit was made to the Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri in October 2008. The deposit, currently owned by Wings Enterprises, Inc. of St. Louis, Missouri (Wings), contains concentrations of lanthanides that may be economic as a primary product or as a byproduct of iron ore production. This report tabulates the results of chemical analyses of the Pea Ridge samples and compares rare earth elements contents for world class lanthanide deposits with those of the Pea Ridge deposit. The data presented for the Pea Ridge deposit are preliminary and include some company data that have not been verified by the USGS or by the Missouri Department of Natural Resources, Division of Geology and Land Survey (DGLS), Geological Survey Program (MGS). The inclusion of company data is for comparative purposes only and does not imply an endorsement by either the USGS or MGS.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101080","usgsCitation":"Grauch, R.I., Verplanck, P.L., Seeger, C.M., Budahn, J.R., and Van Gosen, B.S., 2010, Chemistry of selected core samples, concentrate, tailings, and tailings pond waters: Pea Ridge iron (-lanthanide-gold) deposit, Washington County, Missouri: U.S. Geological Survey Open-File Report 2010-1080, Report: iii, 15 p.; Downloads Directory, https://doi.org/10.3133/ofr20101080.","productDescription":"Report: iii, 15 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-10-01","temporalEnd":"2008-10-31","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":118666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1080.jpg"},{"id":402064,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93118.htm"},{"id":13634,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1080/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","county":"Washington County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.0489,\n              38.1261\n            ],\n            [\n              -91.0475,\n              38.1261\n            ],\n            [\n              -91.0475,\n              38.1283\n            ],\n            [\n              -91.0489,\n              38.1283\n            ],\n            [\n              -91.0489,\n              38.1261\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dee4b07f02db5e280c","contributors":{"authors":[{"text":"Grauch, Richard I. 0000-0002-1763-0813 rgrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-1763-0813","contributorId":1193,"corporation":false,"usgs":true,"family":"Grauch","given":"Richard","email":"rgrauch@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":305145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seeger, Cheryl M.","contributorId":63848,"corporation":false,"usgs":true,"family":"Seeger","given":"Cheryl","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98388,"text":"sir20105076 - 2010 - Polychlorinated Biphenyls in suspended-sediment samples from outfalls to Meandering Road Creek at Air Force Plant 4, Fort Worth, Texas, 2003-08","interactions":[],"lastModifiedDate":"2016-08-11T16:32:48","indexId":"sir20105076","displayToPublicDate":"2010-05-15T00:00:00","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":"2010-5076","title":"Polychlorinated Biphenyls in suspended-sediment samples from outfalls to Meandering Road Creek at Air Force Plant 4, Fort Worth, Texas, 2003-08","docAbstract":"<p>Meandering Road Creek is an intermittent stream and tributary to Lake Worth, a reservoir on the West Fork Trinity River on the western edge of Fort Worth, Texas. U.S. Air Force Plant 4 (AFP4) is on the eastern shore of Woods Inlet, an arm of Lake Worth. Meandering Road Creek gains inflow from several stormwater outfalls as it flows across AFP4. Several studies have characterized polychlorinated biphenyls (PCBs) in the water and sediments of Lake Worth and Meandering Road Creek; sources of PCBs are believed to originate primarily from AFP4. Two previous U.S. Geological Survey (USGS) reports documented elevated PCB concentrations in surficial sediment samples from Woods Inlet relative to concentrations in surficial sediment samples from other parts of Lake Worth. The second of these two previous reports also identified some of the sources of PCBs to Lake Worth. These reports were followed by a third USGS report that documented the extent of PCB contamination in Meandering Road Creek and Woods Inlet and identified runoff from outfalls 4 and 5 at AFP4 as prominent sources of these PCBs. This report describes the results of a fourth study by the USGS, in cooperation with the Lockheed Martin Corporation, to investigate PCBs in suspended-sediment samples in storm runoff from outfalls 4 and 5 at AFP4 following the implementation of engineering controls designed to potentially alleviate PCB contamination in the drainage areas of these outfalls. Suspended-sediment samples collected from outfalls 4 and 5 during storms on March 2 and November 10, 2008, were analyzed for selected PCBs. Sums of concentrations of 18 reported PCB congeners (Sigma PCBc) in suspended-sediment samples collected before and after implementation of engineering controls are compared. At both outfalls, the Sigma PCBc before engineering controls was higher than the Sigma PCBc after engineering controls. The Sigma PCBc in suspended-sediment samples collected at AFP4 before and after implementation of engineering controls also is compared to the threshold effect concentration (TEC), the concentration below which adverse effects to benthic biota rarely occur. Sigma PCBc exceeded the TEC for 75 percent of the samples collected at outfall 4 and 67 percent of the samples collected at outfall 5 before the implementation of engineering controls. Sigma PCBc did not exceed the TEC in samples collected at either outfall 4 or outfall 5 after the implementation of engineering controls. The relative prominence of 10 selected PCB congeners was evaluated by graphical analysis of ratios of individual concentrations of the 10 PCB congeners to the sum of these PCB congeners. An overall decrease in concentrations of PCB congeners at outfalls 4 and 5 after implementation of engineering controls, as well as a shift in prominence from lighter, less chlorinated congeners to a heavier, more chlorinated congener might have resulted from the implementation of engineering controls. Because of the small number of samples collected and lack of runoff and precipitation data to evaluate comparability of sampling conditions before and after implementation of engineering controls, all conclusions are preliminary.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105076","collaboration":"In cooperation with the Lockheed Martin Corporation","usgsCitation":"Braun, C.L., and Wilson, J.T., 2010, Polychlorinated Biphenyls in suspended-sediment samples from outfalls to Meandering Road Creek at Air Force Plant 4, Fort Worth, Texas, 2003-08: U.S. Geological Survey Scientific Investigations Report 2010-5076, vi, 20 p. , https://doi.org/10.3133/sir20105076.","productDescription":"vi, 20 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-03-02","temporalEnd":"2010-11-10","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126290,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5076.jpg"},{"id":13639,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5076/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.45083333333334,32.75 ], [ -97.45083333333334,32.78388888888889 ], [ -97.40138888888889,32.78388888888889 ], [ -97.40138888888889,32.75 ], [ -97.45083333333334,32.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683992","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305159,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98389,"text":"ofr20101058 - 2010 - Preliminary Investigation of Paleochannels and Groundwater Specific Conductance using Direct-Current Resistivity and Surface-Wave Seismic Geophysical Surveys at the Standard Chlorine of Delaware, Inc., Superfund Site, Delaware City, Delaware, 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"ofr20101058","displayToPublicDate":"2010-05-15T00:00:00","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":"2010-1058","title":"Preliminary Investigation of Paleochannels and Groundwater Specific Conductance using Direct-Current Resistivity and Surface-Wave Seismic Geophysical Surveys at the Standard Chlorine of Delaware, Inc., Superfund Site, Delaware City, Delaware, 2008","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with Region III of the U.S. Environmental Protection Agency (USEPA) and the State of Delaware, is conducting an ongoing study of the water-quality and hydrogeologic properties of the Columbia and Potomac aquifers and the extent of cross-aquifer contamination with benzene; chlorobenzene; 1,2-dichlorobenzene; 1,4-dichlorobenzene; and hydrogen chloride (hydrochloric acid when dissolved in water) in the vicinity of the Standard Chlorine of Delaware, Inc. (SCD), Superfund Site, Delaware City, Delaware. Surface geophysical surveys and well data were used to identify and correlate low-permeability units (clays) across the site and to search for sand and gravel filled paleochannels that are potential conduits and receptors of contaminated groundwater and (or) Dense Non-Aqueous Phase Liquid (DNAPL) contaminants. The combined surveys and well data were also used to characterize areas of the site that have groundwater with elevated (greater than 1,000 microsiemens per centimeter) specific conductance (SC) as a result of contamination.\r\n\r\nThe most electrically conductive features measured with direct-current (DC) resistivity at the SCD site are relatively impermeable clays and permeable sediment that are associated with elevated SC in groundwater. Many of the resistive features include paleochannel deposits consisting of coarse-grained sediments that are unsaturated, have low (less than 200 microsiemens per centimeter) SC pore water, or are cemented. Groundwater in uncontaminated parts of the Columbia aquifer and of the Potomac aquifer has a low SC. Specific-conductance data from monitoring wells at the site were used to corroborate the DC-resistivity survey results. For comparison with DC-resistivity surveys, multi-channel analysis of surface wave (MASW) surveys were used and were able to penetrate deep enough to measure the Columbia aquifer, which is known to have elevated SC in some places. MASW survey results respond to solid material stiffness; clays and cemented sediments will have a higher velocity than silts, sands, and gravels (in order of increasing hydraulic conductivity).\r\n\r\nGeophysical surveys detected elevated SC associated with contamination of the surficial Columbia aquifer. Groundwater with elevated SC over ambient (by an order of magnitude) produced a decrease in measured resistivity at the SCD site. Where SC data are not available from wells, it is not known if a low resistivity value measured with DC resistivity alone results from the geologic material (clay) or elevated SC in groundwater (in sand or gravel). Seismic surface waves used as part of the MASW technique are not affected by water content or quality and are used herein to distinguish between sand and clay when SC is high. Through concurrent interpretation of MASW and DC-resistivity surveys, information was gained about water quality and lithology over large areas at the SCD site.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101058","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., and Brayton, M.J., 2010, Preliminary Investigation of Paleochannels and Groundwater Specific Conductance using Direct-Current Resistivity and Surface-Wave Seismic Geophysical Surveys at the Standard Chlorine of Delaware, Inc., Superfund Site, Delaware City, Delaware, 2008: U.S. Geological Survey Open-File Report 2010-1058, viii, 27 p. , https://doi.org/10.3133/ofr20101058.","productDescription":"viii, 27 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":118458,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1058.jpg"},{"id":13640,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1058/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,38.333333333333336 ], [ -76,40 ], [ -74.33333333333333,40 ], [ -74.33333333333333,38.333333333333336 ], [ -76,38.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e4ef","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brayton, Michael J. mbrayton@usgs.gov","contributorId":2993,"corporation":false,"usgs":true,"family":"Brayton","given":"Michael","email":"mbrayton@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305161,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}