{"pageNumber":"675","pageRowStart":"16850","pageSize":"25","recordCount":46670,"records":[{"id":9001461,"text":"ofr20111067 - 2011 - Trace element, semivolatile organic, and chlorinated organic compound concentrations in bed sediments of selected streams at Fort Gordon, Georgia, February-April 2010","interactions":[],"lastModifiedDate":"2019-07-25T15:35:32","indexId":"ofr20111067","displayToPublicDate":"2011-04-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1067","title":"Trace element, semivolatile organic, and chlorinated organic compound concentrations in bed sediments of selected streams at Fort Gordon, Georgia, February-April 2010","docAbstract":"A spatial survey of streams was conducted from February to April 2010 to assess the concentrations of major ions, selected trace elements, semivolatile organic compounds, organochlorine pesticides, and polychlorinated biphenyls associated with the bed sediments of surface waters at Fort Gordon military installation near Augusta, Georgia. This investigation expanded a previous study conducted in May 1998 by the U.S. Geological Survey, in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon, that evaluated the streambed sediment quality of selected surface waters at Fort Gordon. The data presented in this report are intended to help evaluate bed sediment quality in relation to guidelines for the protection of aquatic life, and identify temporal trends in trace elements and semivolatile organic compound concentrations at streambed sites previously sampled. Concentrations of 34 major ions and trace elements and 102 semivolatile organic, organochlorine pesticide, and polychlorinated biphenyl compounds were determined in the fine-grained fraction of bed sediment samples collected from 13 of the original 29 sites in the previous study, and 22 additional sites at Fort Gordon. Three of the sites were considered reference sites as they were presumed to be located away from potential sources of contaminants and were selected to represent surface waters flowing onto the fort, and the remaining 32 nonreference sites were presumed to be located within the contamination area at the fort. Temporal trends in trace elements and semivolatile organic compound concentrations also were evaluated at 13 of the 32 nonreference sites to provide an assessment of the variability in the number of detections and concentrations of constituents in bed sediment associated with potential sources, accumulation, and attenuation processes. Major ion and trace element concentrations in fine-grained bed sediment samples from most nonreference sites exceeded concentrations in samples from reference sites at Fort Gordon. Bed sediments from one of the nonreference sites sampled contained the highest concentrations of copper and lead with elevated levels of zinc and chromium relative to reference sites. The percentage change of major ions, trace elements, and total organic carbon that had been detected at sites previously sampled in May 1998 and current bed sediment sites ranged from -4 to 8 percent with an average percentage change of less than 1 percent. Concentrations of major ions and trace elements in bed sediments exceeded probable effect levels for aquatic life (based on the amphipod Hyalella azteca) established by the U.S. Environmental Protection Agency at 46 and 69 percent of the current and previously sampled locations, respectively. The greatest frequency of exceedances for major ions and trace elements in bed sediments was observed for lead. Concentrations of semivolatile organic compounds, organochlorine pesticides, and polychlorinated biphenyls were detected in bed sediment samples at 94 percent of the sites currently sampled. Detections of these organic compounds were reported with greater frequency in bed sediments at upstream sampling locations, when compared to downstream locations. The greatest number of detections of these compounds was reported for bed sediment samples collected from two creeks above a lake. The percentage change of semivolatile organic compounds detected at previously sampled and current bed sediment sites ranged from -68 to 100 percent with the greatest percentage increase reported for one of the creeks above the lake. Concentrations of semivolatile organic compounds and polychlorinated biphenyls in bed sediments exceeded aquatic life criteria established by the U.S. Environmental Protection Agency at three sites. Contaminant compounds exceeding aquatic life criteria included fluoranthene, phenanthrene, anthracene, benzo(a)anthracene","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111067","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Thomas, L.K., Journey, C.A., Stringfield, W.J., Clark, J.M., Bradley, P.M., Wellborn, J.B., Ratliff, H., and Abrahamsen, T.A., 2011, Trace element, semivolatile organic, and chlorinated organic compound concentrations in bed sediments of selected streams at Fort Gordon, Georgia, February-April 2010: U.S. Geological Survey Open-File Report 2011-1067, vi, 53 p., https://doi.org/10.3133/ofr20111067.","productDescription":"vi, 53 p.","additionalOnlineFiles":"N","temporalStart":"2010-02-01","temporalEnd":"2010-04-30","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":19254,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1067/","linkFileType":{"id":5,"text":"html"}},{"id":116726,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1067.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.42355346679688,\n              33.247301699949205\n            ],\n            [\n              -82.42355346679688,\n              33.54940663754663\n            ],\n            [\n              -82.01774597167969,\n              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Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":344526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stringfield, Whitney J. wjstring@usgs.gov","contributorId":4513,"corporation":false,"usgs":true,"family":"Stringfield","given":"Whitney","email":"wjstring@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":344527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":344529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ratliff, Hagan","contributorId":86648,"corporation":false,"usgs":true,"family":"Ratliff","given":"Hagan","email":"","affiliations":[],"preferred":false,"id":344532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abrahamsen, Thomas A.","contributorId":79137,"corporation":false,"usgs":true,"family":"Abrahamsen","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344531,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":99207,"text":"ofr20111052 - 2011 - Characterizing the size distribution of particles in urban stormwater by use of fixed-point sample-collection methods","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111052","displayToPublicDate":"2011-04-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1052","title":"Characterizing the size distribution of particles in urban stormwater by use of fixed-point sample-collection methods","docAbstract":"The U.S Geological Survey, in cooperation with the Wisconsin Department of Natural Resources (WDNR) and in collaboration with the Root River Municipal Stormwater Permit Group monitored eight urban source areas representing six types of source areas in or near Madison, Wis. in an effort to improve characterization of particle-size distributions in urban stormwater by use of fixed-point sample collection methods. The types of source areas were parking lot, feeder street, collector street, arterial street, rooftop, and mixed use. This information can then be used by environmental managers and engineers when selecting the most appropriate control devices for the removal of solids from urban stormwater.\r\nMixed-use and parking-lot study areas had the lowest median particle sizes (42 and 54 (u or mu)m, respectively), followed by the collector street study area (70 (u or mu)m). Both arterial street and institutional roof study areas had similar median particle sizes of approximately 95 (u or mu)m. Finally, the feeder street study area showed the largest median particle size of nearly 200 (u or mu)m. Median particle sizes measured as part of this study were somewhat comparable to those reported in previous studies from similar source areas. The majority of particle mass in four out of six source areas was silt and clay particles that are less than 32 (u or mu)m in size.\r\nDistributions of particles ranging from <2 to >500 (u or mu)m were highly variable both within and between source areas. Results of this study suggest substantial variability in data can inhibit the development of a single particle-size distribution that is representative of stormwater runoff generated from a single source area or land use. Continued development of improved sample collection methods, such as the depth-integrated sample arm, may reduce variability in particle-size distributions by mitigating the effect of sediment bias inherent with a fixed-point sampler.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111052","collaboration":"In cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Selbig, W.R., and Bannerman, R.T., 2011, Characterizing the size distribution of particles in urban stormwater by use of fixed-point sample-collection methods: U.S. Geological Survey Open-File Report 2011-1052, iv, 14 p., https://doi.org/10.3133/ofr20111052.","productDescription":"iv, 14 p.","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":14620,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1052/","linkFileType":{"id":5,"text":"html"}},{"id":116724,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1052.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4ca5","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307770,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99204,"text":"ofr20101035 - 2011 - Geophysical data collected from the St. Clair River between Michigan and Ontario, Canada (2008-016-FA)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"ofr20101035","displayToPublicDate":"2011-04-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1035","title":"Geophysical data collected from the St. Clair River between Michigan and Ontario, Canada (2008-016-FA)","docAbstract":"In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port Huron, Mich., and Sarnia, Ontario, Canada. The objectives were to define the Quaternary geologic framework of the riverbed of the St. Clair River to evaluate the relationship between morphologic change of the riverbed and underlying stratigraphy. This report presents the geophysical and sample data collected from the St. Clair River, May 29-June 6, 2008, as part of the International Upper Great Lakes Study, a 5-year project funded by the International Joint Commission of the United States and Canada to examine whether physical changes in the St. Clair River are affecting water levels within upper Great Lakes, to assess regulation plans for outflows from Lake Superior, and to examine the potential effect of climate change on the Great Lakes water levels (http://www.iugls.org). This document makes available the data that were used in a separate report, U.S. Geological Survey Open-File Report 2009-1137, which detailed the interpretations of the Quaternary geologic framework of the region. This report includes a description of the high-resolution acoustic and sediment-sampling systems that were used to map the morphology, surficial sediment distribution, and underlying geology of the Upper St. Clair River during USGS field activity 2008-016-FA (http://quashnet.er.usgs.gov/cgi-bin/datasource/public_ds_info.pl?fa=2008-016-FA). Video and photographs of the riverbed were also collected and are included in this data release. Future analyses will be focused on substrate erosion and its effects on river-channel morphology and geometry. Ultimately, the International Upper Great Lakes Study will attempt to determine where physical changes in the St. Clair River affect water flow and, subsequently, water levels in the Upper Great Lakes.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101035","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Denny, J.F., Foster, D., Worley, C., and Irwin, B.J., 2011, Geophysical data collected from the St. Clair River between Michigan and Ontario, Canada (2008-016-FA): U.S. Geological Survey Open-File Report 2010-1035, iv, 17 p.; title page, https://doi.org/10.3133/ofr20101035.","productDescription":"iv, 17 p.; title page","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116721,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1035.gif"},{"id":14617,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1035/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"MultiPolygon\", \"coordinates\": [[[[-82.50746856894295, 42.66037656312891], [-82.50692778611767, 42.65557711555423], [-82.51372137036064, 42.65550951770109], [-82.51390726445689, 42.660241367422536], [-82.50746856894295, 42.66037656312891]]], [[[-82.45033806491564, 42.92789065332959], [-82.45252189542339, 42.92352299231429], [-82.45911985142537, 42.92654318344186], [-82.45695925315715, 42.93144518596455], [-82.45033806491564, 42.92789065332959]]], [[[-82.42142083725533, 43.01567936650888], [-82.40166713816312, 43.008266878244456], [-82.4220417786807, 42.99833181543964], [-82.41932515994488, 42.98714710801648], [-82.41812208593353, 42.990213006303904], [-82.41521142300242, 42.984314062763474], [-82.41059317115167, 42.9841588274072], [-82.4141635843472, 42.98103859674505], [-82.41129173025526, 42.97692485980252], [-82.40675109608274, 42.97855483104389], [-82.41105887722068, 42.96828601222302], [-82.42413745599106, 42.95658126635622], [-82.41583236442774, 42.96682679987348], [-82.41633687933567, 42.968650815310454], [-82.42627194214047, 42.95545581002278], [-82.41851017432428, 42.97509696348178], [-82.42731978079571, 42.99073692563156], [-82.42142083725533, 43.01567936650888]]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-82.5139917617733, 42.65550951770109, -82.40166713816312, 43.01567936650888], \"type\": \"Feature\", \"id\": \"3091916\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c1ab","contributors":{"authors":[{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, D.S.","contributorId":30641,"corporation":false,"usgs":true,"family":"Foster","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":307746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Worley, C.R.","contributorId":43479,"corporation":false,"usgs":true,"family":"Worley","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":307747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Barry J. birwin@usgs.gov","contributorId":3889,"corporation":false,"usgs":true,"family":"Irwin","given":"Barry","email":"birwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":307745,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99202,"text":"sir20115009 - 2011 - Assessment of nutrient enrichment by use of algal-, invertebrate-, and fish-community attributes in wadeable streams in ecoregions surrounding the Great Lakes","interactions":[],"lastModifiedDate":"2016-05-24T08:59:42","indexId":"sir20115009","displayToPublicDate":"2011-04-16T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5009","title":"Assessment of nutrient enrichment by use of algal-, invertebrate-, and fish-community attributes in wadeable streams in ecoregions surrounding the Great Lakes","docAbstract":"<p>The algal, invertebrate, and fish taxa and community attributes that best reflect the effects of nutrients along a gradient of low to high nutrient concentrations in wadeable, primarily midwestern streams were determined as part of the U.S. Geological Suvey's National Water-Quality Assessment (NAWQA) Program. Nutrient data collected from 64 sampling sites that reflected reference, agricultural, and urban influences between 1993 and 2006 were used to represent the nutrient gradient within Nutrient Ecoregion VI (Cornbelt and Northern Great Plains), VII (Mostly Glaciated Dairy Region), and VIII (Nutrient Poor Largely Glaciated Upper Midwest and Northeast). Nutrient Ecoregions VII and VIII comprise the Glacial North diatom ecoregion (GNE) and Nutrient Ecoregion VI represents the Central and Western Plains diatom ecoregion (CWPE). The diatom-ecoregion groupings were used chiefly for data analysis. The total nitrogen (TN) and total phosphorus (TP) data from 64 sites, where at least 6 nutrient samples were collected within a year at each site, were used to classify the sites into low-, medium-, and high-nutrient categories based upon the 10th and 75th percentiles of for sites within each Nutrient Ecoregion. In general, TN and TP concentrations were 3-5 times greater in Nutrient Ecoregion VI than in Nutrient Ecoregions VII and VIII. A subgroup of 54 of these 64 sites had algal-, invertebrate-, and fish-community data that were collected within the same year as the nutrients; these sites were used to assess the effects of nutrients on the biological communities. Multidimensional scaling was used to determine whether the entire region could be assessed together or whether there were regional differences between the algal, invertebrate, and fish communities. The biological communities were significantly different between the northern sites, primarily in the GNE and the southern sites, primarily in the CWPE. In the higher nutrient concentration gradient in the streams of the CWPE, algae exhibited greater differences than invertebrates and fish between all of the nutrient categories for both TN and TP; however, in the lower nutrient gradient in the streams of the GNE, invertebrates exhibited greater differences between the nutrient categories. Certain species of algae, invertebrates, and fish were more prevalent in low- and high-nutrient categories within each of the diatom ecoregions. Breakpoint analysis was used to identify the concentration at which the relations between the response variable (biological attribute) and the stressor variable (TN and TP) change. There were significant breakpoints for nutrients (TN and TP) and multiple attributes for algae, invertebrates, and fish communities within the CWPE and GNE diatom ecoregions. In general, more significant breakpoints, with lower concentrations, were found in the GNE than the more nutrient-rich CWPE. The breakpoints from all biological communities were generally about 3-5 times higher in the south (CWPE) than the north (GNE). In the north, breakpoints with similar lower concentrations were found for TN from all biological communities (around 0.60 milligram per liter) and for TP (between 0.02 and 0.03 milligram per liter) for the algae and invertebrate communities. The findings from our study suggest that the range in breakpoints for TN and TP from the GNE can be used as oligotrophic and eutrophic boundaries derived from biological response based on this ecoregion having (1) a gradient with sufficiently low to high nutrient concentrations, (2) distinctive differences in the biological communities in the low- to high-nutrient streams, (3) similarity of breakpoints within algal, invertebrate, and fish communities, (4) significant attributes with either direct relations to nutrients or traditional changes in community structure (that is, decreases in sensitive species or increases in tolerant species), and (5) similar breakpoints in other studies in this and other regions. In nutrie</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115009","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Frey, J.W., Bell, A.H., Hambrook Berkman, J.A., and Lorenz, D.L., 2011, Assessment of nutrient enrichment by use of algal-, invertebrate-, and fish-community attributes in wadeable streams in ecoregions surrounding the Great Lakes: U.S. Geological Survey Scientific Investigations Report 2011-5009, vii, 49 p., https://doi.org/10.3133/sir20115009.","productDescription":"vii, 49 p.","startPage":"1","endPage":"49","numberOfPages":"62","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":116596,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5009.jpg"},{"id":14614,"rank":100,"type":{"id":15,"text":"Index 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,{"id":99203,"text":"sir20115028 - 2011 - Geomorphic Classification and Evaluation of Channel Width and Emergent Sandbar Habitat Relations on the Lower Platte River, Nebraska","interactions":[],"lastModifiedDate":"2023-08-18T11:21:18.65496","indexId":"sir20115028","displayToPublicDate":"2011-04-16T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5028","title":"Geomorphic Classification and Evaluation of Channel Width and Emergent Sandbar Habitat Relations on the Lower Platte River, Nebraska","docAbstract":"This report presents a summary of geomorphic characteristics extracted from aerial imagery for three broad segments of the Lower Platte River. This report includes a summary of the longitudinal multivariate classification in Elliott and others (2009) and presents a new analysis of total channel width and habitat variables. Three segments on the lower 102.8 miles of the Lower Platte River are addressed in this report: the Loup River to the Elkhorn River (70 miles long), the Elkhorn River to Salt Creek (6.9 miles long), and Salt Creek to the Missouri River (25.9 miles long). The locations of these segments were determined by the locations of tributaries potentially significant to the hydrology or sediment supply of the Lower Platte River.\r\nThis report summarizes channel characteristics as mapped from July 2006 aerial imagery including river width, valley width, channel curvature, and in-channel habitat features. In-channel habitat measurements were not made under consistent hydrologic conditions and must be considered general estimates of channel condition in late July 2006. Longitudinal patterns in these features are explored and are summarized in the context of the longitudinal multivariate classification in Elliott and others (2009) for the three Lower Platte River segments. Detailed descriptions of data collection and classification methods are described in Elliott and others (2009). Nesting data for the endangered interior least tern (Sternula antillarum) and threatened piping plover (Charadrius melodus) from 2006 through 2009 are examined within the context of the multivariate classification and Lower Platte River segments.\r\nThe widest reaches of the Lower Platte River are located in the segment downstream from the Loup River to the Elkhorn River. This segment also has the widest valley and highest degree of braiding of the three segments and many large vegetated islands. The short segment of river between the Elkhorn River and Salt Creek has a fairly low valley width and high channel sinuosities at larger scales. The segment from Salt Creek to the Missouri River has narrow valleys and generally low channel sinuosity. Tern and plover nest sites from 2006 through 2009 in the multi-scale multivariate classification indicated relative nesting selection of cluster 2 reaches among the four-cluster classification and reaches containing clusters 2, 3, and 6 from the seven-cluster classification. These classes, with the exception of cluster 6 are common downstream from the Elkhorn River.\r\nTrends in total channel width indicated that reaches dominated by dark vegetation (islands) are the widest on the Lower Platte River. Reaches with high percentages of dry sand and dry sand plus light vegetation were the narrowest reaches. This suggests that narrow channel reaches have sufficient transport capacity to maintain sandbars under recent (2006) flow regimes and are likely to be most amenable to maintaining tern and plover habitat in the Lower Platte River. Further investigations into the dynamics of emergent sandbar habitat and the effects of bank stabilization on in-channel habitats will require the collection and analysis of new data, particularly detailed elevation information and an assessment of existing bank stabilization structures.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115028","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Elliott, C.M., 2011, Geomorphic Classification and Evaluation of Channel Width and Emergent Sandbar Habitat Relations on the Lower Platte River, Nebraska: U.S. Geological Survey Scientific Investigations Report 2011-5028, vi, 22 p., https://doi.org/10.3133/sir20115028.","productDescription":"vi, 22 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":116595,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5028.jpg"},{"id":14616,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5028/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110,38 ], [ -110,46 ], [ -96,46 ], [ -96,38 ], [ -110,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c27a","contributors":{"authors":[{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":307743,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9001456,"text":"ds570 - 2011 - Rocky Mountain snowpack physical and chemical data for selected sites, 2010","interactions":[],"lastModifiedDate":"2023-08-31T21:41:00.663699","indexId":"ds570","displayToPublicDate":"2011-04-16T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"570","title":"Rocky Mountain snowpack physical and chemical data for selected sites, 2010","docAbstract":"The Rocky Mountain Snowpack program established a network of snowpack-sampling sites in the Rocky Mountain region, from New Mexico to Montana, to monitor the chemical content of snow and to understand the effects of regional atmospheric deposition on freshwater systems. Scientists with the U.S. Geological Survey, in cooperation with the National Park Service; the U.S. Department of Agriculture Forest Service; the Colorado Department of Public Health and Environment; Teton County, Wyoming; and others, annually collected and analyzed snow-pack samples at 48 or more sites in the Rocky Mountain region during 1993-2010. Sixty-three snowpack-sampling sites were each sampled once in 2010, and those data are presented in this report. Data include acid-neutralization capacity, specific conductance, pH, hydrogen ion concentrations, dissolved concentrations of major constituents (calcium, magnesium, sodium, potassium, ammonium, chloride, sulfate, and nitrate), dissolved organic carbon concentrations, snow-water equivalent, snow depth, total mercury concentrations, and ionic charge balance. Quality-assurance data for field and laboratory blanks and field replicates for 2010 also are included.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds570","collaboration":"In cooperation with the National Park Service, U.S. Department of Agriculture Forest Service, Colorado Department of Public Health and Environment, and Teton County, Wyoming","usgsCitation":"Ingersoll, G.P., Mast, M.A., Swank, J.M., and Campbell, C.D., 2011, Rocky Mountain snowpack physical and chemical data for selected sites, 2010: U.S. Geological Survey Data Series 570, iv, 12 p., https://doi.org/10.3133/ds570.","productDescription":"iv, 12 p.","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":14615,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/570/","linkFileType":{"id":5,"text":"html"}},{"id":116594,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_570.png"},{"id":420390,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95130.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116,\n              48.5\n            ],\n            [\n              -116,\n              36\n            ],\n            [\n              -105,\n              36\n            ],\n            [\n              -105,\n              48.5\n            ],\n            [\n              -116,\n              48.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cd89","contributors":{"authors":[{"text":"Ingersoll, George P. gpingers@usgs.gov","contributorId":1469,"corporation":false,"usgs":true,"family":"Ingersoll","given":"George","email":"gpingers@usgs.gov","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. 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,{"id":70158984,"text":"70158984 - 2011 - Regression models of ecological streamflow characteristics in the Cumberland and Tennessee River Valleys","interactions":[],"lastModifiedDate":"2015-10-09T15:30:29","indexId":"70158984","displayToPublicDate":"2011-04-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Regression models of ecological streamflow characteristics in the Cumberland and Tennessee River Valleys","docAbstract":"<p><span>Predictive equations were developed using stepbackward regression for 19 ecologically relevant streamflow characteristics grouped in five major classes (magnitude, ratio, frequency, variability, and date) for use in the Tennessee and Cumberland River watersheds. Basin characteristics explain 50 percent or more of the variation for 10 of the 19 equations. Independent variables identified through stepbackward regression were statistically significant in 81 of 304 coefficients tested across 19 models (⬚ &lt; 0.0001) and represent four major groups: climate, physical landscape features, regional indicators, and land use. The most influential variables for determining hydrologic response were in the land-use and climate groups: daily temperature range, percent agricultural land use, and monthly mean precipitation. These three variables were major explanatory factors in 17, 15, and 13 models, respectively. The equations and independent datasets were used to explore the broad relation between basin properties and streamflow and its implications for the study of ecological flow requirements. Key results include a high degree of hydrologic variability among least disturbed Blue Ridge streams, similar hydrologic behavior for watersheds with widely varying degrees of forest cover, and distinct hydrologic profiles for streams in different geographic regions.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings from the 21st Tennessee American Water Resources Symposium","conferenceTitle":"21st Tennessee American Water Resources Symposium","conferenceDate":"April 13-15 2011","conferenceLocation":"Burns, Tennessee","language":"English","publisher":"Tennessee Section of the American Water Resources Association","usgsCitation":"Knight, R., Gain, W.S., and Wolfe, W., 2011, Regression models of ecological streamflow characteristics in the Cumberland and Tennessee River Valleys, <i>in</i> Proceedings from the 21st Tennessee American Water Resources Symposium, Burns, Tennessee, April 13-15 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Scott wsgain@usgs.gov","contributorId":346,"corporation":false,"usgs":true,"family":"Gain","given":"W.","email":"wsgain@usgs.gov","middleInitial":"Scott","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":577148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577149,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156666,"text":"70156666 - 2011 - Developing climate data records and essential climate variables from landsat data","interactions":[],"lastModifiedDate":"2017-01-18T13:45:01","indexId":"70156666","displayToPublicDate":"2011-04-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing climate data records and essential climate variables from landsat data","docAbstract":"<p><span>The series of Landsat missions has compiled the longest record of satellite observation of the Earth&rsquo;s land surface, extending for more than 38 years for most areas of the globe. Landsat data are particularly important as long term climate data records because the scale of observation is sufficient to differentiate between natural and human drivers of land cover change. The USGS has established consistent radiometric calibration across the Landsat TM and ETM+ sensors, and have extended the calibration back to the earlier MSS sensors. The USGS is developing capabilities to create fundamental climate data records (FCDRs), thematic climate data records (TCDRs), and essential climate variables (ECVs) from the Landsat data archive. Two high priority TCDRs were identified: surface reflectance and land surface temperature because they have direct application or are required as input to the generation of ECVs. We will focus development on a few of the terrestrial ECVs that have a high potential for being derived from Landsat data, that include land cover, albedo, fire disturbance, surface water, snow and ice, and leaf area index (LAI). We are collaborating with scientists who have demonstrated successful algorithm development and application of these science products to develop a framework of processing capabilities to support research projects and land management applications, along with an independent strategy for product validation. Our goal is to scale the creation and validation of these products from specific sites in the conterminous U.S. and Alaska, for extension to continental and global scales.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"34th International Symposium on Remote Sensing of Environment: the GEOSS era : towards operational environmental monitoring : April 10-15, 2011, Sydney, Australia : proceedings.","conferenceTitle":"34th International Symposium on Remote Sensing of Environment: the GEOSS era : towards operational environmental monitoring","conferenceDate":"April 10-15 2011","conferenceLocation":"Sydney, Australia","language":"English","publisher":"International Symposium for Remote Sensing of the Environment","usgsCitation":"Dwyer, J., Dinardo, T.P., and Muchoney, D.M., 2011, Developing climate data records and essential climate variables from landsat data, <i>in</i> 34th International Symposium on Remote Sensing of Environment: the GEOSS era : towards operational environmental monitoring : April 10-15, 2011, Sydney, Australia : proceedings., Sydney, Australia, April 10-15 2011, 3 p.","productDescription":"3 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307456,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.isprs.org/proceedings/2011/ISRSE-34/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b1e4b0518e354dd14e","contributors":{"authors":[{"text":"Dwyer, John","contributorId":45042,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","affiliations":[],"preferred":false,"id":569862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dinardo, Thomas P. tpdinardo@usgs.gov","contributorId":4165,"corporation":false,"usgs":true,"family":"Dinardo","given":"Thomas","email":"tpdinardo@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":569863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muchoney, Douglas M. dmuchoney@usgs.gov","contributorId":4592,"corporation":false,"usgs":true,"family":"Muchoney","given":"Douglas","email":"dmuchoney@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":569864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9001455,"text":"ofr20111066 - 2011 - Benthic habitat classification in Lignumvitae Key Basin, Florida Bay, using the U.S. Geological Survey Along-Track Reef Imaging System (ATRIS)","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20111066","displayToPublicDate":"2011-04-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1066","title":"Benthic habitat classification in Lignumvitae Key Basin, Florida Bay, using the U.S. Geological Survey Along-Track Reef Imaging System (ATRIS)","docAbstract":"The Comprehensive Everglades Restoration Plan (CERP) funded in partnership between the U.S. Army Corps of Engineers, South Florida Water Management District, and other Federal, local and Tribal members has in its mandate a guideline to protect and restore freshwater flows to coastal environments to pre-1940s conditions (CERP, 1999). Historic salinity data are sparse for Florida Bay, so it is difficult for water managers to decide what the correct quantity, quality, timing, and distribution of freshwater are to maintain a healthy and productive estuarine ecosystem. Proxy records of seasurface temperature (SST) and salinity have proven useful in south Florida. Trace-element chemistry on foraminifera and molluscan shells preserved in shallow-water sediments has provided some information on historical salinity and temperature variability in coastal settings, but little information is available for areas within the main part of Florida Bay (Brewster-Wingard and others, 1996). Geochemistry of coral skeletons can be used to develop subannually resolved proxy records for SST and salinity. Previous studies suggest corals, specifically Solenastrea bournoni, present in the lower section of Florida Bay near Lignumvitae Key, may be suitable for developing records of SST and salinity for the past century, but the distribution and species composition of the bay coral community have not been well documented (Hudson and others, 1989; Swart and others, 1999). Oddly, S. bournoni thrives in the study area because it can grow on a sandy substratum and can tolerate highly turbid water. Solenastrea bournoni coral heads in this area should be ideally located to provide a record (~100-150 years) of past temperature and salinity variations in Florida Bay. The goal of this study was to utilize the U.S. Geological Survey's (USGS) Along-Track Reef Imaging System (ATRIS) capability to further our understanding of the abundance, distribution, and size of corals in the Lignumvitae Key Basin. The study area was subdivided into four areas whereby corals and other benthic habitats were classified based on ATRIS imagery.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111066","usgsCitation":"Reich, C., Zawada, D., Thompson, P., Reynolds, C., Spear, A., Umberger, D., and Poore, R., 2011, Benthic habitat classification in Lignumvitae Key Basin, Florida Bay, using the U.S. Geological Survey Along-Track Reef Imaging System (ATRIS): U.S. Geological Survey Open-File Report 2011-1066, iv, 12 p., https://doi.org/10.3133/ofr20111066.","productDescription":"iv, 12 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116194,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1066.jpg"},{"id":19252,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1066/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,24.5 ], [ -82,30 ], [ -80,30 ], [ -80,24.5 ], [ -82,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b508","contributors":{"authors":[{"text":"Reich, C. 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D.","affiliations":[],"preferred":false,"id":344513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zawada, D.G.","contributorId":8938,"corporation":false,"usgs":true,"family":"Zawada","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":344508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, P.R.","contributorId":101369,"corporation":false,"usgs":true,"family":"Thompson","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":344514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, C.E.","contributorId":31094,"corporation":false,"usgs":true,"family":"Reynolds","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":344511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spear, A.H.","contributorId":14093,"corporation":false,"usgs":true,"family":"Spear","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":344510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Umberger, D.K.","contributorId":13356,"corporation":false,"usgs":true,"family":"Umberger","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":344509,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poore, R.Z.","contributorId":35314,"corporation":false,"usgs":true,"family":"Poore","given":"R.Z.","email":"","affiliations":[],"preferred":false,"id":344512,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189072,"text":"70189072 - 2011 - Sources and physical processes responsible for OH/H2O in the lunarsoil as revealed by the Moon Mineralogy Mapper (M3)","interactions":[],"lastModifiedDate":"2017-06-30T09:09:44","indexId":"70189072","displayToPublicDate":"2011-04-14T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sources and physical processes responsible for OH/H<sub>2</sub>O in the lunarsoil as revealed by the Moon Mineralogy Mapper (M<sup>3</sup>)","title":"Sources and physical processes responsible for OH/H2O in the lunarsoil as revealed by the Moon Mineralogy Mapper (M3)","docAbstract":"<p><span>Analysis of two absorption features near 3&nbsp;</span><i>μ</i><span>m in the lunar reflectance spectrum, observed by the orbiting M</span><sup>3</sup><span><span>&nbsp;</span>spectrometer and interpreted as being due to OH and H</span><sub>2</sub><span>O, is presented, and the results are used to discuss the processes producing these molecules. This analysis focuses on the dependence of the absorptions on lunar physical properties, including composition, illumination, latitude, and temperature. Solar wind proton-induced hydroxylation is proposed as the creation process, and its products could be a source for other reported types of hydrogen-rich material and water. The irregular and damaged fine-grained lunar soil seems especially adapted for trapping solar wind protons and forming OH owing to abundant dangling oxygen bonds. The M</span><sup>3</sup><span>data reveal that the strengths of the two absorptions are correlated and widespread, and both are correlated with lunar composition but in different ways. Feldspathic material seems richer in OH. These results seem to rule out water from the lunar interior and cometary infall as major sources. There appear to be correlations of apparent band strengths with time of day and lighting conditions. However, thermal emission from the Moon reduces the apparent strengths of the M</span><sup>3</sup><span>absorptions, and its removal is not yet completely successful. Further, many of the lunar physical properties are themselves intercorrelated, and so separating these dependencies on the absorptions is difficult, due to the incomplete M</span><sup>3</sup><span><span>&nbsp;</span>data set. This process should also operate on other airless silicate surfaces, such as Mercury and Vesta, which will be visited by the Dawn spacecraft in mid-2011.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1029/2010JE003711","usgsCitation":"McCord, T.B., Taylor, L., Combe, J.#., Kramer, G., C.M. Pieters, Sunshine, J., and Clark, R.N., 2011, Sources and physical processes responsible for OH/H2O in the lunarsoil as revealed by the Moon Mineralogy Mapper (M3): Journal of Geophysical Research E: Planets, v. 116, p. 1-22, https://doi.org/10.1029/2010JE003711.","productDescription":"22 p. ","startPage":"1","endPage":"22","ipdsId":"IP-033520","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003711","text":"Publisher Index Page"},{"id":343205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"116","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-04-14","publicationStatus":"PW","scienceBaseUri":"5957635ae4b0d1f9f051b6b3","contributors":{"authors":[{"text":"McCord, T. 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,{"id":70157553,"text":"70157553 - 2011 - Saline aquifer mapping project in the southeastern United States","interactions":[],"lastModifiedDate":"2022-11-01T18:27:13.572202","indexId":"70157553","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Saline aquifer mapping project in the southeastern United States","docAbstract":"<p><span>In 2009, the U.S. Geological Survey initiated a study of saline aquifers in the southeastern United States to evaluate the potential use of brackish or saline water from the deeper portions of the Floridan aquifer system and the underlying Coastal Plain aquifer system (Fig. 1). The objective of this study is to improve the overall understanding of the available saline water resources for potential future development. Specific tasks are to (1) develop a digital georeferenced database of borehole geophysical data to enable analysis and characterization of saline aquifers (see locations in Fig. 1), (2) identify and map the regional extent of saline aquifer systems and describe the thickness and character of hydrologic units that compose these systems, and (3) delineate salinity variations at key well sites and along section lines to provide a regional depiction of the freshwater-saltwater interfaces. Electrical resistivity and induction logs, coupled with a variety of different porosity logs (sonic, density, and neutron), are the primary types of borehole geophysical logs being used to estimate the water quality in brackish and saline formations. The results from the geophysical log calculations are being compared to available water-quality data obtained from water wells and from drill-stem water samples collected in test wells. Overall, the saline aquifer mapping project is helping to improve the understanding of saline water resources in the area. These aquifers may be sources of large quantities of water that could be treated by using reverse osmosis or similar technologies, or they could be used for aquifer storage and recovery systems.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2011 Georgia Water Resources Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2011 Georgia Water Resources Conference","conferenceDate":"April 11-13, 2011","conferenceLocation":"Athens, Georgia","language":"English","publisher":"University of Georgia Warnell School of Forestry and Natural Resources","usgsCitation":"Williams, L.J., and Spechler, R.M., 2011, Saline aquifer mapping project in the southeastern United States, <i>in</i> Proceedings of the 2011 Georgia Water Resources Conference, Athens, Georgia, April 11-13, 2011.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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spechler@usgs.gov","contributorId":1364,"corporation":false,"usgs":true,"family":"Spechler","given":"Rick","email":"spechler@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":573581,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157327,"text":"70157327 - 2011 - Summary of hydrologic testing of the Floridan aquifer system at Fort Stewart, coastal Georgia, 2009-2010","interactions":[],"lastModifiedDate":"2021-10-29T15:44:23.377691","indexId":"70157327","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Summary of hydrologic testing of the Floridan aquifer system at Fort Stewart, coastal Georgia, 2009-2010","docAbstract":"<p><span>Two test wells were completed at Fort Stewart, coastal Georgia, to investigate the potential for using the Lower Floridan aquifer as a source of water to satisfy anticipated, increased water needs. The U.S. Geological Survey, in cooperation with the U.S. Department of the Army, completed hydrologic testing of the Floridan aquifer system at the study site, including flowmeter surveys, slug tests, and 24- and 72-hour aquifer tests by mid-March 2010. Analytical approaches and model simulation were applied to aquifer-test results to provide estimates of transmissivity and hydraulic conductivity of the multilayered Floridan aquifer system. Data from a 24-hour aquifer test of the Upper Floridan aquifer were evaluated by using the straight-line Cooper-Jacob analytical method. Data from a 72-hour aquifer test of the Lower Floridan aquifer were simulated by using axisymmetric model simulations. Results of aquifer testing indicated that the Upper Floridan aquifer has a transmissivity of 100,000 feet-squared per day, and the Lower Floridan aquifer has a transmissivity of 7,000 feet-squared per day. A specific storage for the Floridan aquifer system as a result of model calibration was 3E-06 ft&ndash;1. Additionally, during a 72-hour aquifer test of the Lower Floridan aquifer, a drawdown response was observed in two Upper Floridan aquifer wells, one of which was more than 1 mile away from the pumped well.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2011 Georgia Water Resources Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Georgia Water Resources Conference 2011","conferenceDate":"April 11-13, 2011","conferenceLocation":"Athens, Georgia","language":"English","publisher":"University of Georgia Warnell School of Forestry and Natural Resources","usgsCitation":"Gonthier, G.J., 2011, Summary of hydrologic testing of the Floridan aquifer system at Fort Stewart, coastal Georgia, 2009-2010, <i>in</i> Proceedings of the 2011 Georgia Water Resources Conference, Athens, Georgia, April 11-13, 2011, 6 p.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025226","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":308289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.60781860351561,\n              31.975463762188678\n            ],\n            [\n              -81.60781860351561,\n              32.002835495405165\n            ],\n            [\n              -81.56455993652344,\n              32.002835495405165\n            ],\n            [\n              -81.56455993652344,\n              31.975463762188678\n            ],\n            [\n              -81.60781860351561,\n              31.975463762188678\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fd35bee4b05d6c4e502c7d","contributors":{"authors":[{"text":"Gonthier, Gerald J.","contributorId":146795,"corporation":false,"usgs":false,"family":"Gonthier","given":"Gerald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":572698,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99197,"text":"ofr20111065 - 2011 - Fossil locations and data for the Taylor Mountains, and parts of the Bethel, Goodnews, and Dillingham quadrangles, southwestern Alaska","interactions":[],"lastModifiedDate":"2018-09-25T13:56:10","indexId":"ofr20111065","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1065","title":"Fossil locations and data for the Taylor Mountains, and parts of the Bethel, Goodnews, and Dillingham quadrangles, southwestern Alaska","docAbstract":"Information about fossils collected by U.S. Geological Survey, State of Alaska, academic, and industry geologists that have been reported in literature or archived in reports from the former U.S. Geological Survey Branch of Paleontology and Stratigraphy are compiled on a plate and table in this report to provide comprehensive paleontologic age data for the Taylor Mountains quadrangle area in southwestern Alaska. The reports used to compile the table in this report were submitted by recognized paleontologic experts. Some of the information is derived from reports that date back almost 100 years. Many of the data are available in more detail in the Alaska Paleontological Database (http://www.alaskafossil.org/). The 287 entries in this table are shown on the accompanying plate, on which symbols representing the entries are color-coded by geologic age. This report represents the most comprehensive and most recently updated compilation of paleontologic data for this area.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111065","usgsCitation":"Karl, S.M., Blodgett, R.B., Labay, K., Box, S.E., Bradley, D.C., Miller, M., Wallace, W.K., and Baichtal, J., 2011, Fossil locations and data for the Taylor Mountains, and parts of the Bethel, Goodnews, and Dillingham quadrangles, southwestern Alaska: U.S. Geological Survey Open-File Report 2011-1065, iv, 2 p.; Table (XLS); Plate (PDF), https://doi.org/10.3133/ofr20111065.","productDescription":"iv, 2 p.; Table (XLS); Plate (PDF)","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":116820,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1065.png"},{"id":14609,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1065/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.3675,59.8 ], [ -159.3675,61 ], [ -156,61 ], [ -156,59.8 ], [ -159.3675,59.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ce4b07f02db6a94fd","contributors":{"authors":[{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":307723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blodgett, R. B.","contributorId":25176,"corporation":false,"usgs":true,"family":"Blodgett","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":307720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":307721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Box, S. E.","contributorId":38567,"corporation":false,"usgs":true,"family":"Box","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, D. C.","contributorId":17634,"corporation":false,"usgs":true,"family":"Bradley","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":307719,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Marti L. 0000-0003-0285-4942","orcid":"https://orcid.org/0000-0003-0285-4942","contributorId":89523,"corporation":false,"usgs":false,"family":"Miller","given":"Marti L.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":307725,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wallace, W. K.","contributorId":31781,"corporation":false,"usgs":true,"family":"Wallace","given":"W.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":307722,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baichtal, J.F.","contributorId":94777,"corporation":false,"usgs":true,"family":"Baichtal","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":307726,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":99199,"text":"sir20105180 - 2011 - Regional groundwater-flow model of the Redwall-Muav, Coconino, and alluvial basin aquifer systems of northern and central Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"sir20105180","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5180","title":"Regional groundwater-flow model of the Redwall-Muav, Coconino, and alluvial basin aquifer systems of northern and central Arizona","docAbstract":"A numerical flow model (MODFLOW) of the groundwater flow system in the primary aquifers in northern Arizona was developed to simulate interactions between the aquifers, perennial streams, and springs for predevelopment and transient conditions during 1910 through 2005. Simulated aquifers include the Redwall-Muav, Coconino, and basin-fill aquifers. Perennial stream reaches and springs that derive base flow from the aquifers were simulated, including the Colorado River, Little Colorado River, Salt River, Verde River, and perennial reaches of tributary streams. Simulated major springs include Blue Spring, Del Rio Springs, Havasu Springs, Verde River headwater springs, several springs that discharge adjacent to major Verde River tributaries, and many springs that discharge to the Colorado River. Estimates of aquifer hydraulic properties and groundwater budgets were developed from published reports and groundwater-flow models. Spatial extents of aquifers and confining units were developed from geologic data, geophysical models, a groundwater-flow model for the Prescott Active Management Area, drill logs, geologic logs, and geophysical logs. Spatial and temporal distributions of natural recharge were developed by using a water-balance model that estimates recharge from direct infiltration. Additional natural recharge from ephemeral channel infiltration was simulated in alluvial basins. Recharge at wastewater treatment facilities and incidental recharge at agricultural fields and golf courses were also simulated. Estimates of predevelopment rates of groundwater discharge to streams, springs, and evapotranspiration by phreatophytes were derived from previous reports and on the basis of streamflow records at gages. Annual estimates of groundwater withdrawals for agriculture, municipal, industrial, and domestic uses were developed from several sources, including reported withdrawals for nonexempt wells, estimated crop requirements for agricultural wells, and estimated per capita water use for exempt wells. Accuracy of the simulated groundwater-flow system was evaluated by using observational control from water levels in wells, estimates of base flow from streamflow records, and estimates of spring discharge.\r\n\r\nMajor results from the simulations include the importance of variations in recharge rates throughout the study area and recharge along ephemeral and losing stream reaches in alluvial basins. Insights about the groundwater-flow systems in individual basins include the hydrologic influence of geologic structures in some areas and that stream-aquifer interactions along the lower part of the Little Colorado River are an effective control on water level distributions throughout the Little Colorado River Plateau basin.\r\n\r\nBetter information on several aspects of the groundwater flow system are needed to reduce uncertainty of the simulated system. Many areas lack documentation of the response of the groundwater system to changes in withdrawals and recharge. Data needed to define groundwater flow between vertically adjacent water-bearing units is lacking in many areas. Distributions of recharge along losing stream reaches are poorly defined. Extents of aquifers and alluvial lithologies are poorly defined in parts of the Big Chino and Verde Valley sub-basins. Aquifer storage properties are poorly defined throughout most of the study area. Little data exist to define the hydrologic importance of geologic structures such as faults and fractures. Discharge of regional groundwater flow to the Verde River is difficult to identify in the Verde Valley sub-basin because of unknown contributions from deep percolation of excess surface water irrigation. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105180","collaboration":"In cooperation with the Arizona Department of Water Resources and Yavapai County","usgsCitation":"Pool, D.R., Blasch, K.W., Callegary, J.B., Leake, S.A., and Graser, L.F., 2011, Regional groundwater-flow model of the Redwall-Muav, Coconino, and alluvial basin aquifer systems of northern and central Arizona (v. 1.1): U.S. Geological Survey Scientific Investigations Report 2010-5180, xii, 101 p.; Appendices, https://doi.org/10.3133/sir20105180.","productDescription":"xii, 101 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":116823,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5180.gif"},{"id":14611,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5180/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,33.5 ], [ -115,35 ], [ -108,35 ], [ -108,33.5 ], [ -115,33.5 ] ] ] } } ] }","edition":"v. 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c59b","contributors":{"authors":[{"text":"Pool, D. R.","contributorId":75581,"corporation":false,"usgs":true,"family":"Pool","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":307732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graser, Leslie F.","contributorId":24876,"corporation":false,"usgs":true,"family":"Graser","given":"Leslie","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":307731,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":99198,"text":"gip126 - 2011 - Forecast Mekong: navigating changing waters","interactions":[],"lastModifiedDate":"2019-04-01T15:51:18","indexId":"gip126","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"126","title":"Forecast Mekong: navigating changing waters","docAbstract":"The U.S. Geological Survey (USGS) is using research and data from the Mekong River Delta in Southeast Asia to compare restoration, conservation, and management efforts there with those done in other major river deltas, such as the Mississippi River Delta in the United States. The project provides a forum to engage regional partners in the Mekong Basin countries to share data and support local research efforts. Ultimately, Forecast Mekong will lead to more informed decisions about how to make the Mekong and Mississippi Deltas resilient in the face of climate change, economic stresses, and other impacts. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip126","usgsCitation":"Powell, J., 2011, Forecast Mekong: navigating changing waters: U.S. Geological Survey General Information Product 126, 8 p., https://doi.org/10.3133/gip126.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":116822,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_126.jpg"},{"id":14610,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/126/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 95,5.5 ], [ 95,30.5 ], [ 110,30.5 ], [ 110,5.5 ], [ 95,5.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de3c5","contributors":{"authors":[{"text":"Powell, Janine 0000-0003-1985-9985 powellj@usgs.gov","orcid":"https://orcid.org/0000-0003-1985-9985","contributorId":192,"corporation":false,"usgs":true,"family":"Powell","given":"Janine","email":"powellj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":307727,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9001449,"text":"ds538 - 2011 - Geophysical logging data from the Mills Gap Road area near Asheville, North Carolina","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"ds538","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"538","title":"Geophysical logging data from the Mills Gap Road area near Asheville, North Carolina","docAbstract":"In September 2009, the U.S. Geological Survey (USGS) was requested to assist the Environmental Protection Agency (EPA) Region 4 Superfund Section in the development of a conceptual groundwater flow model in the area of the Mills Gap Road contaminant investigation near Asheville, North Carolina (Site ID A4P5) through an Interagency Grant and work authorization IAD DW number 14946085. The USGS approach included the application of established and state-of-the-science borehole geophysical tools and methods used to delineate and characterize fracture zones in the regolith-fractured bedrock groundwater system. Borehole geophysical logs were collected in eight wells in the Mills Gap Road project area from January through June 2010. These subsurface data were compared to local surface geologic mapping data collected by the North Carolina Geological Survey (NCGS) from January through May 2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds538","usgsCitation":"Chapman, M.J., and Huffman, B.A., 2011, Geophysical logging data from the Mills Gap Road area near Asheville, North Carolina: U.S. Geological Survey Data Series 538, iv, 49 p. , https://doi.org/10.3133/ds538.","productDescription":"iv, 49 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":116821,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_538.jpg"},{"id":19250,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/538/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.50083333333333,35.48361111111111 ], [ -82.50083333333333,35.500277777777775 ], [ -82.48361111111112,35.500277777777775 ], [ -82.48361111111112,35.48361111111111 ], [ -82.50083333333333,35.48361111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67b8e0","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":344504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huffman, Brad A. 0000-0003-4025-1325 bahuffma@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1325","contributorId":1596,"corporation":false,"usgs":true,"family":"Huffman","given":"Brad","email":"bahuffma@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344503,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001448,"text":"sir20115051 - 2011 - Evaluation of LiDAR-acquired bathymetric and topographic data accuracy in various hydrogeomorphic settings in the Deadwood and South Fork Boise Rivers, West-Central Idaho, 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20115051","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5051","title":"Evaluation of LiDAR-acquired bathymetric and topographic data accuracy in various hydrogeomorphic settings in the Deadwood and South Fork Boise Rivers, West-Central Idaho, 2007","docAbstract":"High-quality elevation data in riverine environments are important for fisheries management applications and the accuracy of such data needs to be determined for its proper application. The Experimental Advanced Airborne Research LiDAR (Light Detection and Ranging)-or EAARL-system was used to obtain topographic and bathymetric data along the Deadwood and South Fork Boise Rivers in west-central Idaho. The EAARL data were post-processed into bare earth and bathymetric raster and point datasets. Concurrently with the EAARL surveys, real-time kinematic global positioning system surveys were made in three areas along each of the rivers to assess the accuracy of the EAARL elevation data in different hydrogeomorphic settings. The accuracies of the EAARL-derived raster elevation values, determined in open, flat terrain, to provide an optimal vertical comparison surface, had root mean square errors ranging from 0.134 to 0.347 m. Accuracies in the elevation values for the stream hydrogeomorphic settings had root mean square errors ranging from 0.251 to 0.782 m. The greater root mean square errors for the latter data are the result of complex hydrogeomorphic environments within the streams, such as submerged aquatic macrophytes and air bubble entrainment; and those along the banks, such as boulders, woody debris, and steep slopes. These complex environments reduce the accuracy of EAARL bathymetric and topographic measurements. Steep banks emphasize the horizontal location discrepancies between the EAARL and ground-survey data and may not be good representations of vertical accuracy. The EAARL point to ground-survey comparisons produced results with slightly higher but similar root mean square errors than those for the EAARL raster to ground-survey comparisons, emphasizing the minimized horizontal offset by using interpolated values from the raster dataset at the exact location of the ground-survey point as opposed to an actual EAARL point within a 1-meter distance. The average error for the wetted stream channel surface areas was -0.5 percent, while the average error for the wetted stream channel volume was -8.3 percent. The volume of the wetted river channel was underestimated by an average of 31 percent in half of the survey areas, and overestimated by an average of 14 percent in the remainder of the survey areas. The EAARL system is an efficient way to obtain topographic and bathymetric data in large areas of remote terrain. The elevation accuracy of the EAARL system varies throughout the area depending upon the hydrogeomorphic setting, preventing the use of a single accuracy value to describe the EAARL system. The elevation accuracy variations should be kept in mind when using the data, such as for hydraulic modeling or aquatic habitat assessments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115051","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Skinner, K.D., 2011, Evaluation of LiDAR-acquired bathymetric and topographic data accuracy in various hydrogeomorphic settings in the Deadwood and South Fork Boise Rivers, West-Central Idaho, 2007: U.S. Geological Survey Scientific Investigations Report 2011-5051, Scientific Investigations Report, https://doi.org/10.3133/sir20115051.","productDescription":"Scientific Investigations Report","numberOfPages":"30","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":116824,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5051.jpg"},{"id":19249,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5051/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","county":"Boise;Elmore;Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.83333333333334,43.166666666666664 ], [ -150.83333333333334,44.333333333333336 ], [ -115.41666666666667,44.333333333333336 ], [ -115.41666666666667,43.166666666666664 ], [ -150.83333333333334,43.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5faff7","contributors":{"authors":[{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344502,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":9000595,"text":"tm7C4 - 2011 - User's manual for the National Water-Quality Assessment Program Invertebrate Data Analysis System (IDAS) software, version 5","interactions":[],"lastModifiedDate":"2017-01-18T13:34:17","indexId":"tm7C4","displayToPublicDate":"2011-04-13T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C4","title":"User's manual for the National Water-Quality Assessment Program Invertebrate Data Analysis System (IDAS) software, version 5","docAbstract":"The Invertebrate Data Analysis System (IDAS) software was developed to provide an accurate, consistent, and efficient mechanism for analyzing invertebrate data collected as part of the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program. The IDAS software is a stand-alone program for personal computers that run Microsoft Windows(Registered). It allows users to read data downloaded from the NAWQA Program Biological Transactional Database (Bio-TDB) or to import data from other sources either as Microsoft Excel(Registered) or Microsoft Access(Registered) files. The program consists of five modules: Edit Data, Data Preparation, Calculate Community Metrics, Calculate Diversities and Similarities, and Data Export. The Edit Data module allows the user to subset data on the basis of taxonomy or sample type, extract a random subsample of data, combine or delete data, summarize distributions, resolve ambiguous taxa (see glossary) and conditional/provisional taxa, import non-NAWQA data, and maintain and create files of invertebrate attributes that are used in the calculation of invertebrate metrics. The Data Preparation module allows the user to select the type(s) of sample(s) to process, calculate densities, delete taxa on the basis of laboratory processing notes, delete pupae or terrestrial adults, combine lifestages or keep them separate, select a lowest taxonomic level for analysis, delete rare taxa on the basis of the number of sites where a taxon occurs and (or) the abundance of a taxon in a sample, and resolve taxonomic ambiguities by one of four methods. The Calculate Community Metrics module allows the user to calculate 184 community metrics, including metrics based on organism tolerances, functional feeding groups, and behavior. The Calculate Diversities and Similarities module allows the user to calculate nine diversity and eight similarity indices. The Data Export module allows the user to export data to other software packages (CANOCO, Primer, PC-ORD, MVSP) and produce tables of community data that can be imported into spreadsheet, database, graphics, statistics, and word-processing programs. The IDAS program facilitates the documentation of analyses by keeping a log of the data that are processed, the files that are generated, and the program settings used to process the data. Though the IDAS program was developed to process NAWQA Program invertebrate data downloaded from Bio-TDB, the Edit Data module includes tools that can be used to convert non-NAWQA data into Bio-TDB format. Consequently, the data manipulation, analysis, and export procedures provided by the IDAS program can be used to process data generated outside of the NAWQA Program.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C4","usgsCitation":"Cuffney, T.F., and Brightbill, R.A., 2011, User's manual for the National Water-Quality Assessment Program Invertebrate Data Analysis System (IDAS) software, version 5: U.S. Geological Survey Techniques and Methods 7-C4, xv, 113 p.; Appendices; Glossary; FTP Link, https://doi.org/10.3133/tm7C4.","productDescription":"xv, 113 p.; Appendices; Glossary; FTP Link","numberOfPages":"126","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116819,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_c4.jpg"},{"id":14605,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/7c4/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a16e4b07f02db603d26","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001447,"text":"sir20115045 - 2011 - Floods of September 2010 in Southern Minnesota","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20115045","displayToPublicDate":"2011-04-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5045","title":"Floods of September 2010 in Southern Minnesota","docAbstract":"During September 22-24, 2010, heavy rainfall ranging from 3 inches to more than 10 inches caused severe flooding across southern Minnesota. The floods were exacerbated by wet antecedent conditions, where summer rainfall totals were as high as 20 inches, exceeding the historical average by more than 4 inches. Widespread flooding that occurred as a result of the heavy rainfall caused evacuations of hundreds of residents, and damages in excess of 64 million dollars to residences, businesses, and infrastructure. In all, 21 counties in southern Minnesota were declared Federal disaster areas.\r\n\r\nPeak-of-record streamflows were recorded at nine U.S. Geological Survey and three Minnesota Department of Natural Resources streamgages as a result of the heavy rainfall. Flood-peak gage heights, peak streamflows, and annual exceedance probabilities were tabulated for 27 U.S. Geological Survey and 5 Minnesota Department of Natural Resources streamgages and 5 ungaged sites. Flood-peak streamflows in 2010 had annual exceedance probabilities estimated to be less than 0.2 percent (recurrence interval greater than 500 years) at 7 streamgages and less than 1 percent (recurrence interval greater than 100 years) at 5 streamgages and 4 ungaged sites. High-water marks were identified and tabulated for the most severely affected communities of Faribault along the Cannon and Straight Rivers, Owatonna along the Straight River and Maple Creek, Pine Island along the North Branch and Middle Fork Zumbro River, and Zumbro Falls along the Zumbro River. The nearby communities of Hammond, Henderson, Millville, Oronoco, Pipestone, and Rapidan also received extensive flooding and damage but were not surveyed for high-water marks. Flood-peak inundation maps and water-surface profiles for the four most severely affected communities were constructed in a geographic information system by combining high-water-mark data with the highest resolution digital elevation model data available. The flood maps and profiles show the extent and height of flooding through the communities and can be used for flood response and recovery efforts by local, county, State, and Federal agencies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115045","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and the Minnesota Department of Natural Resources, Division of Ecological and Water Resources","usgsCitation":"Ellison, C.A., Sanocki, C.A., Lorenz, D.L., Mitton, G.B., and Kruse, G.A., 2011, Floods of September 2010 in Southern Minnesota: U.S. Geological Survey Scientific Investigations Report 2011-5045, vi, 22 p.; Appendices; Appendix 2; Downloads Directory, https://doi.org/10.3133/sir20115045.","productDescription":"vi, 22 p.; Appendices; Appendix 2; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":116782,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5045.jpg"},{"id":14608,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5045/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.5,43.5 ], [ -94.5,45 ], [ -94.83333333333333,45 ], [ -94.83333333333333,43.5 ], [ -94.5,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db68001b","contributors":{"authors":[{"text":"Ellison, Christopher A. 0000-0002-5886-6654 cellison@usgs.gov","orcid":"https://orcid.org/0000-0002-5886-6654","contributorId":4891,"corporation":false,"usgs":true,"family":"Ellison","given":"Christopher","email":"cellison@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":344499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitton, Gregory B.","contributorId":76769,"corporation":false,"usgs":true,"family":"Mitton","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":344500,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kruse, Gregory A.","contributorId":103773,"corporation":false,"usgs":true,"family":"Kruse","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344501,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":9001446,"text":"sir20115030 - 2011 - Estimated loads of suspended sediment and selected trace elements transported through the Clark Fork basin, Montana, in selected periods before and after the breach of Milltown Dam (water years 1985-2009)","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20115030","displayToPublicDate":"2011-04-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5030","title":"Estimated loads of suspended sediment and selected trace elements transported through the Clark Fork basin, Montana, in selected periods before and after the breach of Milltown Dam (water years 1985-2009)","docAbstract":"Milltown Reservoir is a National Priorities List Superfund site in the upper Clark Fork basin of western Montana where sediments enriched in trace elements from historical mining and ore processing have been deposited since the completion of Milltown Dam in 1908. Milltown Dam was breached on March 28, 2008, as part of Superfund remediation activities to remove the dam and excavate contaminated sediment that had accumulated in Milltown Reservoir. In preparation for the breach of Milltown Dam, permanent drawdown of Milltown Reservoir began on June 1, 2006, and lowered the water-surface elevation by about 10 to 12 feet. After the breach of Milltown Dam, the water-surface elevation was lowered an additional 17 feet. Hydrologic data-collection activities were conducted by the U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency to estimate loads of suspended sediment and trace elements transported through the Clark Fork basin before and after the breach of Milltown Dam. This report presents selected results of the data-collection activities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115030","collaboration":"In cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Sando, S.K., and Lambing, J.H., 2011, Estimated loads of suspended sediment and selected trace elements transported through the Clark Fork basin, Montana, in selected periods before and after the breach of Milltown Dam (water years 1985-2009): U.S. Geological Survey Scientific Investigations Report 2011-5030, viii, 64 p., https://doi.org/10.3133/sir20115030.","productDescription":"viii, 64 p.","numberOfPages":"64","additionalOnlineFiles":"N","temporalStart":"1985-10-01","temporalEnd":"2009-09-30","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":116780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5030.gif"},{"id":19248,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5030/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.25,45.833333333333336 ], [ -115.25,48 ], [ -112,48 ], [ -112,45.833333333333336 ], [ -115.25,45.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a118","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambing, John H.","contributorId":64272,"corporation":false,"usgs":true,"family":"Lambing","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":344496,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001441,"text":"sir20115048 - 2011 - Groundwater conditions and studies in Georgia, 2008-2009","interactions":[],"lastModifiedDate":"2017-01-17T10:56:24","indexId":"sir20115048","displayToPublicDate":"2011-04-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5048","title":"Groundwater conditions and studies in Georgia, 2008-2009","docAbstract":"The U.S. Geological Survey collects groundwater data and conducts studies to monitor hydrologic conditions, better define groundwater resources, and address problems related to water supply, water use, and water quality. In Georgia, water levels were monitored continuously at 179 wells during 2008 and 181 wells during 2009. Because of missing data or short periods of record (less than 3 years) for several of these wells, a total of 161 wells are discussed in this report. These wells include 17 in the surficial aquifer system, 19 in the Brunswick aquifer and equivalent sediments, 66 in the Upper Floridan aquifer, 16 in the Lower Floridan aquifer and underlying units, 10 in the Claiborne aquifer, 1 in the Gordon aquifer, 11 in the Clayton aquifer, 12 in the Cretaceous aquifer system, 2 in Paleozoic-rock aquifers, and 7 in crystalline-rock aquifers. Data from the well network indicate that water levels generally rose during the 2008-2009 period, with water levels rising in 135 wells and declining in 26. In contrast, water levels declined over the period of record at 100 wells, increased at 56 wells, and remained relatively constant at 5 wells. In addition to continuous water-level data, periodic water-level measurements were collected and used to construct potentiometric-surface maps for the Upper Floridan aquifer in Camden, Charlton, and Ware Counties, Georgia, and adjacent counties in Florida during September 2008 and May 2009; in the Brunswick, Georgia area during July 2008 and July-August 2009; and in the City of Albany-Dougherty County, Georgia area during November 2008 and November 2009. In general, water levels in these areas were higher during 2009 than during 2008; however, the configuration of the potentiometric surfaces in each of the areas showed little change. Groundwater quality in the Floridan aquifer system is monitored in the Albany, Savannah, Brunswick, and Camden County areas of Georgia. In the Albany area, nitrate as nitrogen concentrations in the Upper Floridan aquifer during 2008-2009 generally increased, with concentrations in two wells above the U.S. Environmental Protection Agency (USEPA) 10-milligrams-per-liter (mg/L) drinking-water standard. In the Savannah area, measurement of specific conductance and chloride concentration in water samples from discrete depths in three wells completed in the Upper Floridan aquifer indicate that chloride concentrations in the Upper Floridan aquifer showed little change and remained below the 250 mg/L USEPA secondary drinking-water standard. Chloride concentrations in the Lower Floridan aquifer increased slightly at Tybee Island and Skidaway Island, remaining above the drinking-water standard. In the Brunswick area, maps showing the chloride concentration of water in the Upper Floridan aquifer were constructed using data collected from 28 wells during July 2008 and from 29 wells during July-August 2009, indicate that chloride concentrations remained above the USEPA secondary drinking-water standard in an approximately 2-square-mile area. During 2008-2009, chloride concentrations decreased, with a maximum decrease of 160 mg/L, in a well located in the northern part of the Brunswick area. In the Camden County area, chloride concentration during 2008-2009 was analyzed in water samples collected from eight wells, six of which were completed in the Upper Floridan aquifer and two in the Lower Floridan aquifer. In most of the wells sampled during this period, chloride concentrations did not appreciably change; however, since the closure of the Durango Paper Company in October 2002, chloride concentrations in the Upper Floridan aquifer near the paper mill decreased from a high of 184 mg/L in May 2002 to 41 mg/L in September 2009. Groundwater studies conducted in Georgia during 2008-2009 include the following: * evaluation of groundwater flow, water-quality, and water-level monitoring in the Augusta-Richmond County area; * evaluation of groundwater flow, water-quality, and water","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115048","usgsCitation":"Peck, M., Leeth, D.C., and Painter, J.A., 2011, Groundwater conditions and studies in Georgia, 2008-2009: U.S. Geological Survey Scientific Investigations Report 2011-5048, iv, 78 p.; Appendix, https://doi.org/10.3133/sir20115048.","productDescription":"iv, 78 p.; Appendix","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":344488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9001439,"text":"ds578 - 2011 - EAARL Coastal Topography-Cape Hatteras National Seashore, North Carolina, Post-Nor'Ida, 2009: Bare Earth","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ds578","displayToPublicDate":"2011-04-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"578","title":"EAARL Coastal Topography-Cape Hatteras National Seashore, North Carolina, Post-Nor'Ida, 2009: Bare Earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the National Park Service Southeast Coast Network's Cape Hatteras National Seashore in North Carolina, acquired post-Nor'Ida (November 2009 nor'easter) on November 27 and 29 and December 1, 2009. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine aircraft, but the instrument was deployed on a Pilatus PC-6. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds578","usgsCitation":"Bonisteel-Cormier, J., Nayegandhi, A., Fredericks, X., Brock, J.C., Wright, C.W., Nagle, D., and Stevens, S., 2011, EAARL Coastal Topography-Cape Hatteras National Seashore, North Carolina, Post-Nor'Ida, 2009: Bare Earth: U.S. Geological Survey Data Series 578, HTML Page-DVD, https://doi.org/10.3133/ds578.","productDescription":"HTML Page-DVD","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116777,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_578.bmp"},{"id":21889,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/578/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,35.06666666666667 ], [ -76,36 ], [ -75.46666666666667,36 ], [ -75.46666666666667,35.06666666666667 ], [ -76,35.06666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db6971ec","contributors":{"authors":[{"text":"Bonisteel-Cormier, J.M.","contributorId":8060,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"J.M.","affiliations":[],"preferred":false,"id":344478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":344481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":344479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brock, J. C.","contributorId":36095,"corporation":false,"usgs":true,"family":"Brock","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":344483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, D.B.","contributorId":40568,"corporation":false,"usgs":true,"family":"Nagle","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":344482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":344484,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":99188,"text":"ds581 - 2011 - Time-domain electromagnetic soundings collected in Dawson County, Nebraska, 2007-09","interactions":[],"lastModifiedDate":"2021-04-23T12:22:10.704398","indexId":"ds581","displayToPublicDate":"2011-04-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"581","title":"Time-domain electromagnetic soundings collected in Dawson County, Nebraska, 2007-09","docAbstract":"Between April 2007 and November 2009, the U.S. Geological Survey, in cooperation with the Central Platte Natural Resources District, collected time-domain electro-magnetic (TDEM) soundings at 14 locations in Dawson County, Nebraska. The TDEM soundings provide information pertaining to the hydrogeology at each of 23 sites at the 14 locations; 30 TDEM surface geophysical soundings were collected at the 14 locations to develop smooth and layered-earth resistivity models of the subsurface at each site. The soundings yield estimates of subsurface electrical resistivity; variations in subsurface electrical resistivity can be correlated with hydrogeologic and stratigraphic units. Results from each sounding were used to calculate resistivity to depths of approximately 90-130 meters (depending on loop size) below the land surface. Geonics Protem 47 and 57 systems, as well as the Alpha Geoscience TerraTEM, were used to collect the TDEM soundings (voltage data from which resistivity is calculated). For each sounding, voltage data were averaged and evaluated statistically before inversion (inverse modeling). Inverse modeling is the process of creating an estimate of the true distribution of subsurface resistivity from the mea-sured apparent resistivity obtained from TDEM soundings. Smooth and layered-earth models were generated for each sounding. A smooth model is a vertical delineation of calculated apparent resistivity that represents a non-unique estimate of the true resistivity. Ridge regression (Interpex Limited, 1996) was used by the inversion software in a series of iterations to create a smooth model consisting of 24-30 layers for each sounding site. Layered-earth models were then generated based on results of smooth modeling. The layered-earth models are simplified (generally 1 to 6 layers) to represent geologic units with depth. Throughout the area, the layered-earth models range from 2 to 4 layers, depending on observed inflections in the raw data and smooth model inversions. The TDEM data collected were considered good results on the basis of root mean square errors calculated after inversion modeling, comparisons with borehole geophysical logging, and repeatability.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds581","collaboration":"In cooperation with the Central Platte Natural Resources District","usgsCitation":"Payne, J., and Teeple, A., 2011, Time-domain electromagnetic soundings collected in Dawson County, Nebraska, 2007-09: U.S. Geological Survey Data Series 581, Report: iv, 12 p.; 1 Appendix, https://doi.org/10.3133/ds581.","productDescription":"Report: iv, 12 p.; 1 Appendix","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_581.gif"},{"id":385248,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/581/ds581_appendix1","text":"Appendix 1"},{"id":14603,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/581/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","county":"Dawson County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.4247,41.0466],[-99.4248,40.9599],[-99.4249,40.8732],[-99.4269,40.7],[-99.4166,40.6995],[-99.4168,40.6686],[-99.4241,40.6718],[-99.4338,40.6728],[-99.4544,40.6752],[-99.4877,40.6757],[-99.518,40.6768],[-99.5446,40.6805],[-99.5555,40.6805],[-99.5834,40.6779],[-99.5986,40.6771],[-99.6228,40.683],[-99.6434,40.6849],[-99.6622,40.6886],[-99.6791,40.6927],[-99.7021,40.7],[-99.77,40.6997],[-99.83,40.7002],[-99.9174,40.6981],[-99.9816,40.6999],[-99.9949,40.7004],[-100.1083,40.7012],[-100.2102,40.702],[-100.2217,40.7015],[-100.224,40.8721],[-100.2243,40.9583],[-100.2215,41.0481],[-100.1984,41.0477],[-100.1064,41.0478],[-99.9955,41.0479],[-99.8926,41.0474],[-99.8804,41.0473],[-99.778,41.0477],[-99.7665,41.0467],[-99.5356,41.0461],[-99.4247,41.0466]]]},\"properties\":{\"name\":\"Dawson\",\"state\":\"NE\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a04e4b07f02db5f85f2","contributors":{"authors":[{"text":"Payne, Jason  0000-0003-4294-7924 jdpayne@usgs.gov","orcid":"https://orcid.org/0000-0003-4294-7924","contributorId":1062,"corporation":false,"usgs":true,"family":"Payne","given":"Jason ","email":"jdpayne@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307714,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99190,"text":"ofr20111038 - 2011 - Vegetation communities at Big Muddy National Fish and Wildlife Refuge, Missouri","interactions":[],"lastModifiedDate":"2016-12-05T12:21:59","indexId":"ofr20111038","displayToPublicDate":"2011-04-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1038","title":"Vegetation communities at Big Muddy National Fish and Wildlife Refuge, Missouri","docAbstract":"New and existing data were used to describe and map vegetation communities at Big Muddy National Fish and Wildlife Refuge. Existing data had been gathered during the growing seasons of 2002, 2003, and 2004. New data were collected in 2007 to describe previously unsampled communities and communities within which insufficient data had been collected. Plot data and field observations were used to describe 17 natural and semi-natural communities at the Association level of the National Vegetation Classification System (NVCS). Four ruderal communities not included in the NVCS are also described. Data were used to inform delineation of communities using aerial photos from 2000, 2002, 2003, 2005, 2006, and 2007. During this process, eleven additional land cover classes including cultural features, managed vegetation communities, and water features were identified. These features were mapped, some were described, but no vegetation data were collected. In 2009, nearly all community polygons were field visited and classified to the Association level. When necessary, polygon boundaries were adjusted based on field observations. The final map includes 482 polygons of 27 land cover classes encompassing 3,174 hectares on 5 units of the refuge. Data and information will inform the development of the refuge Comprehensive Conservation Plan.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111038","usgsCitation":"Struckhoff, M.A., Grabner, K.W., and Stroh, E.D., 2011, Vegetation communities at Big Muddy National Fish and Wildlife Refuge, Missouri: U.S. Geological Survey Open-File Report 2011-1038, viii, 27 p.; Appendices, https://doi.org/10.3133/ofr20111038.","productDescription":"viii, 27 p.; Appendices","additionalOnlineFiles":"Y","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":116779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1038.jpg"},{"id":14604,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1038/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","otherGeospatial":"Big Muddy National Fish and 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,{"id":99187,"text":"sir20115026 - 2011 - River-aquifer exchanges in the Yakima River basin, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"sir20115026","displayToPublicDate":"2011-04-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5026","title":"River-aquifer exchanges in the Yakima River basin, Washington","docAbstract":"Five categories of data are analyzed to enhance understanding of river-aquifer exchanges-the processes by which water moves between stream channels and the adjacent groundwater system-in the Yakima River basin. The five datasets include (1) results of chemical analyses of water for tritium (3H, a radioactive isotope of hydrogen) and the ratios of the stable isotopes of hydrogen (2H/1H) and oxygen (18O/16O), (2) series of stream discharge measurements within specified reaches (seepage investigations or 'runs'), (3) vertical hydraulic gradients (between stream stage and hydraulic heads the underlying aquifer) measured using mini-piezometers, (4) groundwater levels and water temperature in shallow wells near stream channels, and (5) thermal profiles (continuous records of water temperature along river reaches). Exchanges are described in terms of streamflow, vertical hydraulic gradients, groundwater temperature and levels, and streamflow temperature, and where appropriate, the exchanges are discussed in terms of their relevance to and influence on salmonid habitat.\r\n\r\nThe isotope data shows that the ultimate source of surface and groundwater is meteoric water derived from atmospheric precipitation. Water from deep wells has a different isotopic composition than either shallow groundwater or surface water, indicating that the deep groundwater system contributes, at most, only a small component of the surface-water discharge. The isotope data confirms that river-aquifer exchanges involve primarily modern streamflow and modern, shallow groundwater.\r\n\r\nNet exchanges of water for 46 stream sections investigated with seepage runs ranged from nearly zero to 1,071 ft3/s for 28 gaining sections, and -3 to -242 ft3/s for 18 losing sections. The magnitude of the upper 50 percent of the net gains is an order of magnitude larger than those for net losses. The sections have a normalized net exchange (as absolute value) that fully ranged from near 0 to 65.6 (ft3/s)/mi. Gaining-section values ranged from about 0.1 to 65.6 (ft3/s)/mi, and losing section values ranged from about -0.1 to -35.4 (ft3/s)/mi. Gains are much more vigorous than the losses with 55 percent being larger than 3.0 (ft3/s)/ mi, whereas, only 6 percent of the negative net exchanges were larger than 3.0 (ft3/s)/mi. Gains and losses for 167 measured reaches within the 46 sections ranged from about 70 to -75 (ft3/s)/mi, and ranged more than 5 orders of magnitude. The median values for the gains and losses were 5.1 and -4.4 (ft3/s)/mi, respectively. The magnitude of the gains was larger than the losses; more than 40 percent of the gains were greater than 10 (ft3/s)/mi, and only about 25 percent of the losses were greater than 10 (ft3/s)/mi. Reaches with large gains are identified and these reaches represent potentially important areas for various life stages of salmonids and possibly for preservation or restoration of that habitat.\r\n\r\nNinety-nine measurements of vertical hydraulic gradients (VHGs) were made using mini-piezometers. The median for the measurements was -0.35 ft/ft (negative values indicate downward flow), and in terms of absolute values, the median was 0.05 ft/ft. The VHGs tended to be small. Seventy VHG values were negative (indicating streamflow losses), and 29 were positive (indicating streamflow gains). VHGs vary more than 4 orders of magnitude, and in terms of magnitudes, 65 percent were less than 0.1 ft/ft. The negative VHG values are not only more prevalent but are larger than the positive values. The magnitudes of almost 50 percent of the negative VHGs are greater than 0.05 ft/ft and only 33 percent of the positive VHGs are greater than 0.05 ft/ft. The percentile distribution of the VHG data, which is similar to the shape of the seepage data distribution, shows that beyond the 80th percentile, the positive values become much larger, indicating that the largest VHGs have a different controlling mechanism. The VHGs were formulated in terms of fluxes per unit are","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115026","collaboration":"Prepared in cooperation with the Bureau of Reclamation, Washington State Department of Ecology, and the Yakama Nation","usgsCitation":"Vaccaro, J.J., 2011, River-aquifer exchanges in the Yakima River basin, Washington: U.S. Geological Survey Scientific Investigations Report 2011-5026, x, 94 p.; Appendix, https://doi.org/10.3133/sir20115026.","productDescription":"x, 94 p.; Appendix","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":116775,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5026.jpg"},{"id":14602,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5026/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,46 ], [ -121.5,47.666666666666664 ], [ -119,47.666666666666664 ], [ -119,46 ], [ -121.5,46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673ee9","contributors":{"authors":[{"text":"Vaccaro, J. 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