The former Alabama Plating site in Vincent, Alabama, includes the location where the Alabama Plating Company operated an electroplating facility from 1956 until 1986. The operation of the facility generated waste containing cyanide, arsenic, cadmium, chromium, copper, lead, zinc, and other heavy metals. Contamination resulting from the site operations was identified in groundwater, soil, and sediment. Vincent Spring, used as a public water supply by the city of Vincent, Alabama, is located about ½ mile southwest of the site. The U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, conducted an investigation at Vincent Spring and the Alabama Plating site, Vincent, Alabama, during 2007–2008 to evaluate the groundwater quality and evaluate the potential effect of contaminated groundwater on the water quality of Vincent Spring. The results of the investigation will provide scientific data and information on the occurrence, fate, and transport of contaminants in the water resources of the area and aid in the evaluation of the vulnerability of the public water supply to contamination.
\nSamples were analyzed to evaluate the water quality at the former plating site, investigate the presence of possible contaminant indicators at Vincent Spring, and determine the usefulness of stable isotopes and geochemical properties in understanding groundwater flow and contaminant transport in the area. Samples collected from 16 monitor wells near the plating site and Vincent Spring were analyzed for major constituents, trace metals, nutrients, and the stable isotopes for hydrogen (2H/H) and oxygen (18O/16O).
\nGroundwater collected from Vincent Spring was characterized as a calcium-magnesium-bicarbonate water type with total dissolved solids concentrations ranging from 110 to 120 milligrams per liter and pH ranging from about 7.5 to 7.9 units. Groundwater chemistry at the monitor wells at the Alabama Plating site was highly variable by location and depth. Dissolved solids concentrations ranged from 28 to 2,880 milligrams per liter, and the water types varied from calcium-magnesium-bicarbonate-chloride, to calcium-sulfate or calcium-magnesium-sulfate, to sodium-chloride water types. The stable isotope ratios for hydrogen (2H/H) and oxygen (18O/16O) for water from the monitor wells and from Vincent Spring, based on a single sampling event, can be separated into three groups: (1) Vincent Spring, (2) monitor wells MW03 and MW28, and (3) the remaining Alabama Plating monitor wells.
\nThe geochemical and stable isotope analyses indicate that water from Vincent Spring is distinct from water from the Alabama Plating monitor wells; however, this evaluation is based on a single sampling event. Although the water from Vincent Spring, for this sampling event, is different and does not seem to be affected by contaminated groundwater from the Alabama Plating site, additional hydrologic and water-quality data are needed to fully identify flow paths, the potential for contaminant transport, and water-quality changes through time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131298","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region 4","usgsCitation":"Bradley, M., and Gill, A.C., 2014, Groundwater quality at Alabama Plating and Vincent Spring, Vincent, Alabama, 2007–2008: U.S. Geological Survey Open-File Report 2013-1298, Report: iv, 20 p.; Plate: 17 x 11 inches, https://doi.org/10.3133/ofr20131298.","productDescription":"Report: iv, 20 p.; Plate: 17 x 11 inches","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-043797","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":282860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131298.jpg"},{"id":282855,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1298/pdf/of2013-1298_Al_plating_plate_1.pdf"},{"id":282853,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1298/"},{"id":282858,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1298/pdf/of2013-1298.pdf"}],"country":"United States","state":"Alabama","city":"Vincent","otherGeospatial":"Vincent Spring","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.456545,33.349857 ], [ -86.456545,33.422296 ], [ -86.368698,33.422296 ], [ -86.368698,33.349857 ], [ -86.456545,33.349857 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5fe9e4b0b290850fc98b","contributors":{"authors":[{"text":"Bradley, Mike 0000-0002-2979-265X mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Amy C. 0000-0002-5738-9390 acgill@usgs.gov","orcid":"https://orcid.org/0000-0002-5738-9390","contributorId":220,"corporation":false,"usgs":true,"family":"Gill","given":"Amy","email":"acgill@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":488009,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074398,"text":"sir20145008 - 2014 - Water movement through the unsaturated zone of the High Plains Aquifer in the Central Platte Natural Resources District, Nebraska, 2008-12","interactions":[],"lastModifiedDate":"2014-02-26T09:13:23","indexId":"sir20145008","displayToPublicDate":"2014-02-26T07:23:00","publicationYear":"2014","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":"2014-5008","title":"Water movement through the unsaturated zone of the High Plains Aquifer in the Central Platte Natural Resources District, Nebraska, 2008-12","docAbstract":"Uncertainty about the effects of land use and climate on water movement in the unsaturated zone and on groundwater recharge rates can lead to uncertainty in water budgets used for groundwater-flow models. To better understand these effects, a cooperative study between the U.S. Geological Survey and the Central Platte Natural Resources District was initiated in 2007 to determine field-based estimates of recharge rates in selected land-use areas of the Central Platte Natural Resources District in Nebraska. Measured total water potential and unsaturated-zone profiles of tritium, chloride, nitrate as nitrogen, and bromide, along with groundwater-age dates, were used to evaluate water movement in the unsaturated zone and groundwater recharge rates in the central Platte River study area. Eight study sites represented an east-west precipitation contrast across the study area—four beneath groundwater-irrigated cropland (sites 2, 5, and 6 were irrigated corn and site 7 was irrigated alfalfa/corn rotation), three beneath rangeland (sites 1, 4, and 8), and one beneath nonirrigated cropland, or dryland (site 3).
\nMeasurements of transient vertical gradients in total water potential indicated that periodic wetting fronts reached greater mean maximum depths beneath the irrigated sites than beneath the rangeland sites, in part, because of the presence of greater and constant antecedent moisture. Beneath the rangeland sites, greater temporal variation in antecedent moisture and total water potential existed and was, in part, likely a result of local precipitation and evapotranspiration. Moreover, greater variability was noticed in the total water potential profiles beneath the western sites than the corresponding eastern sites, which was attributed to less mean annual precipitation in the west.
\nThe depth of the peak post-bomb tritium concentration or the interface between the pre-bomb/post-bomb tritium, along with a tritium mass balance, within sampled soil profiles were used to estimate water fluxes in the unsaturated zone at three of the eight study sites: site 2 (irrigated), site 3 (dryland), and site 8 (rangeland). Estimates for recharge were about 68 millimeters per year [(mm/yr), post-bomb peak], 133 to 159 mm/yr (tritium interface), and 137 mm/yr (mass balance) at site 2 (irrigated); about 63 mm/yr (tritium interface) and 12 mm/yr (mass balance) at site 3 (dryland); and about 53 mm/yr (tritium interface) and 10 mm/yr (mass balance) at site 8 (rangeland). Recharge values from the mass balance at site 2 were more than an order of magnitude greater than recharge values at site 3, suggesting irrigation is an important control on water movement through the unsaturated zone. For the remaining five sites, the post-bomb tritium had flushed through the system and recharge was considered modern (within 10 years of sampling).
\nThe chloride mass-balance method was used to determine water fluxes below the root zone (less than 2 meters below land surface) at the rangeland sites: sites 1, 4, and 8. At these rangeland sites, water fluxes ranged from 1.8 to 96 mm/yr at site 1, 1.1 to 9.6 mm/yr at site 4, and 1.1 to 68 mm/yr at site 8, with mean rates of 21, 4.3, and 13 mm/yr, respectively. Site 1 had a greater mean water flux, which was consistent with the greater precipitation in the east than at site 8 in the west. Chloride mass balance was not calculated at the irrigated and dryland sites because of uncertainty about additional sources of chloride.
\nConcentrations of nitrate as nitrogen in pore water in the unsaturated zone were larger beneath the irrigated and dryland (agricultural) sites compared with the rangeland sites. The larger concentrations at the agricultural sites are consistent with the application of nitrogen fertilizer at the agricultural sites and no substantial accumulation at the rangeland sites.\nThe shape of the nitrate as nitrogen and chloride concentration\nprofiles at site 1 (rangeland) indicate a reasonably larger and\nmore consistent water flux in the UZ than beneath the other\ntwo rangeland sites (sites 4 or 8). Excluding site 7, the general\nshape of the nitrate as nitrogen profiles was similar beneath\nthe agricultural sites and supports the estimates of water\nmovement and recharge rates determined from the tritium and\nchloride methods.
\nMovement of bromide through the unsaturated zone\nindicated greater water fluxes are found beneath irrigated lands\nthan beneath rangeland. Bromide profiles in the unsaturated\nzone, determined from center of mass and peak displacement\nmethods, document water fluxes ranged from 58\nto 394\nmm/yr beneath irrigated sites and 9 to 201 mm/yr beneath rangeland\nsites. Water-flux estimates from the potassium bromide tests at\nmost sites did not represent overall recharge rates because the\nbromide remained primarily in the root zone.
\nApparent groundwater age was used to determine the\ngroundwater residence time at the eight sites and to estimate recharge rates. Groundwater ages in the study area\nranged from old water (defined here as groundwater that was\nrecharged more than 50 years ago) to modern (defined here\nas groundwater that has recharged within the past 10 years).\nGroundwater ages indicated that the shallow monitoring wells\ngenerally had younger residence times, whereas the deeper\nmonitoring wells generally had the older residence times.\nGroundwater dates from the shallowest monitoring wells were\nused to determine recharge rates at the water table. These\nrates generally were similar to recharge rates determined from\ntritium and chloride mass-balance methods. Groundwater\nrecharge rates generally increased with well depth, and the\ndeeper monitoring wells likely do not represent local recharge\nconditions but recharge from a regional flow system that\nreceives recharge from distant sources.
\nOverall, these data generally indicate that water movement within the unsaturated zone primarily is affected by spatial contrasts in mean annual precipitation and by the land use\nor land cover. The eight unsaturated-zone sites each generated\nunique, valuable datasets that likely will improve the understanding of water movement and recharge rates in the central\nPlatte River valley.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145008","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District","usgsCitation":"Steele, G.V., Gurdak, J., and Hobza, C.M., 2014, Water movement through the unsaturated zone of the High Plains Aquifer in the Central Platte Natural Resources District, Nebraska, 2008-12: U.S. Geological Survey Scientific Investigations Report 2014-5008, Report: x, 54 p., https://doi.org/10.3133/sir20145008.","productDescription":"Report: x, 54 p.","onlineOnly":"Y","ipdsId":"IP-045594","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":282796,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5008/pdf/sir2014-5008.pdf"},{"id":282797,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5008/downloads/Tables.xlsx"},{"id":282798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145008.jpg"},{"id":282791,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5008/"}],"scale":"1000000","projection":"Universal Transverse Mercator","datum":"NAD 83","country":"United States","state":"Nebraska","otherGeospatial":"Central Platte Natural Resources District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,40.5 ], [ -100.0,41.0 ], [ -98.5,41.0 ], [ -98.5,40.5 ], [ -100.0,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7c15e4b0b2908510e880","contributors":{"authors":[{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":489563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489562,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70073492,"text":"ofr20141007 - 2014 - Capacitively coupled and direct-current resistivity surveys of selected reaches of Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals in Nebraska, 2012-13","interactions":[],"lastModifiedDate":"2014-02-26T09:11:38","indexId":"ofr20141007","displayToPublicDate":"2014-02-26T07:00:00","publicationYear":"2014","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":"2014-1007","title":"Capacitively coupled and direct-current resistivity surveys of selected reaches of Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals in Nebraska, 2012-13","docAbstract":"Understanding the spatial characteristics of leakage from canals is critical to effectively managing and utilizing water resources for irrigation and hydroelectric purposes. Canal leakage in some parts of Nebraska is the primary source of water for groundwater recharge and helps maintain the base flow of streams. Because surface-water supplies depend on the streamflow of the Platte River and the available water stored in upstream reservoirs, water managers seek to minimize conveyance losses, which can include canal leakage. The U.S. Geological Survey, in cooperation with the Central Platte Natural Resources District and Nebraska Public Power District, used capacitively coupled (CC) and direct-current (DC) resistivity techniques for continuous resistivity profiling to map near-surface lithologies near and underlying the Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals. Approximately 84 kilometers (km) of CC-resistivity data were collected along the five canals.
\nThe CC-resistivity data were compared with results from continuous sediment cores and electrical conductivity logs. Generally, the highest resistivities were recorded at the upstream reaches of the Cozad, Thirty-Mile, and Orchard-Alfalfa canals where flood-plain deposits of silt and clay mantle coarser channel deposits of sand and gravel. The finer grained deposits gradually thicken with increasing distance away from the Platte River. Consequently, for many surveyed reaches the thickness of fine-grained deposits exceeded the 8-meter depth of investigation.
\nA detailed geophysical investigation along a 5-km reach of the Outlet Canal southwest of North Platte, Nebraska, used CC and DC resistivity to examine the condition of a compacted-core bank structure and characterized other potential controls on areas of focused seepage. CC-resistivity data, collected along the 5-km study reach, were compared with continuous sediment cores and DC-resistivity data collected near a selected seep near Outlet Canal mile post 15.55 along 5 separate profiles. DC-resistivity results were compared to a schematic cross section of the Outlet Canal north embankment that include the original surfaces and modifications to the compacted-core bank structure.
\nAlong the canal road south line, there is a transition from high resistivity at land surface to much lower resistivity near the estimated depth of the northern slope of the original compacted-core bank; however, the surveyed elevation of the water surface in the canal also is at this elevation. Along the canal road north line, there is a transition from high resistivity near land surface to lower resistivity at depth. Although the transition is rapid near the estimated depth of the first-modified bank slope, it also is coincident with the groundwater level measured in piezometer PZ-4. Currently (2013), it is unknown if the indicated changes in resistivity at these elevations was the effect of saturation of the underlying sediments or caused by the compacted-core bank.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141007","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District and Nebraska Public Power District","usgsCitation":"Hobza, C.M., Burton, B., Lucius, J.E., and Tompkins, R.E., 2014, Capacitively coupled and direct-current resistivity surveys of selected reaches of Cozad, Thirty-Mile, Orchard-Alfalfa, Kearney, and Outlet Canals in Nebraska, 2012-13: U.S. Geological Survey Open-File Report 2014-1007, Report: vi, 48 p., https://doi.org/10.3133/ofr20141007.","productDescription":"Report: vi, 48 p.","onlineOnly":"Y","ipdsId":"IP-045699","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":282795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141007.jpg"},{"id":282794,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1007/downloads/"},{"id":282790,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1007/"},{"id":282793,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1007/pdf/of2014-1007.pdf"}],"projection":"Lambert Conformal Conic","datum":"NAD 83","country":"United States","state":"Nebraska","city":"Cozad;Kearney","otherGeospatial":"Orchard Alfalfa Canal;Thirty Mile Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101.0,40.5 ], [ -101.0,41.3 ], [ -99.0,41.3 ], [ -99.0,40.5 ], [ -101.0,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5023e4b0b290850f3273","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":488803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucius, Jeffrey E. lucius@usgs.gov","contributorId":817,"corporation":false,"usgs":true,"family":"Lucius","given":"Jeffrey","email":"lucius@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":488802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tompkins, Ryan E.","contributorId":20851,"corporation":false,"usgs":true,"family":"Tompkins","given":"Ryan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":488805,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074472,"text":"sim3287 - 2014 - Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges","interactions":[],"lastModifiedDate":"2023-05-26T13:44:29.25989","indexId":"sim3287","displayToPublicDate":"2014-02-25T12:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3287","title":"Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges","docAbstract":"The Cambria 30´ x 60´ quadrangle comprises southwestern Monterey County and northwestern San Luis Obispo County. The land area includes rugged mountains of the Santa Lucia Range extending from the northwest to the southeast part of the map; the southern part of the Big Sur coast in the northwest; broad marine terraces along the southwest coast; and broadvalleys, rolling hills, and modest mountains in the northeast.
\nThis report contains geologic, gravity anomaly, and aeromagnetic anomaly maps of the eastern three-fourths of the 1:100,000-scale Cambria quadrangle and the associated geologic and geophysical databases (ArcMap databases), as well as complete descriptions of the geologic map units and the structural relations in the mapped area. A cross section is based on both the geologic map and potential-field geophysical data.
\nThe maps are presented as an interactive, multilayer PDF, rather than more traditional pre-formatted map-sheet PDFs. Various geologic, geophysical, paleontological, and base map elements are placed on separate layers, which allows the user to combine elements interactively to create map views beyond the traditional map sheets. Four traditional map sheets (geologic map, gravity map, aeromagnetic map, paleontological locality map) are easily compiled by choosing the associated data layers or by choosing the desired map under Bookmarks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3287","usgsCitation":"Graymer, R., Langenheim, V., Roberts, M.A., and McDougall, K., 2014, Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges: U.S. Geological Survey Scientific Investigations Map 3287, Pamphlet: iii, 47 p.; 1 Plate: 44.0 x 32.0 inches; Readme; Metadata; Database, https://doi.org/10.3133/sim3287.","productDescription":"Pamphlet: iii, 47 p.; 1 Plate: 44.0 x 32.0 inches; Readme; Metadata; Database","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040960","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282774,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":398951,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99614.htm"},{"id":282768,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3287/"},{"id":282769,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_map.pdf"},{"id":282771,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_readme.pdf"},{"id":282770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_pamphlet.pdf"},{"id":282772,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3287/downloads/SIM3287_metadata.txt"},{"id":282773,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3287/downloads/SIM3287_database.zip"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum 1983","country":"United States","state":"California","county":"Monterey County, San Luis Obispo County","otherGeospatial":"Big Sur, California Coast Ranges","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.625,35.5 ], [ -121.625,36.0 ], [ -121.0,36.0 ], [ -121.0,35.5 ], [ -121.625,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b98e4b0b290850fa008","contributors":{"authors":[{"text":"Graymer, R. W.","contributorId":21174,"corporation":false,"usgs":true,"family":"Graymer","given":"R. W.","affiliations":[],"preferred":false,"id":489593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":489594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. A.","contributorId":63720,"corporation":false,"usgs":true,"family":"Roberts","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDougall, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":85610,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":489596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074485,"text":"ofr20141013 - 2014 - Investigations into near-real-time surveying for geophysical data collection using an autonomous ground vehicle","interactions":[],"lastModifiedDate":"2023-05-26T13:59:21.176192","indexId":"ofr20141013","displayToPublicDate":"2014-02-24T07:59:00","publicationYear":"2014","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":"2014-1013","title":"Investigations into near-real-time surveying for geophysical data collection using an autonomous ground vehicle","docAbstract":"The U.S. Geological Survey and the National Aeronautics and Space Administration are cooperatively investigating the utility of unmanned vehicles for near-real-time autonomous surveys of geophysical data collection. Initially focused on unmanned ground vehicle collection of magnetic data, this cooperative effort has brought unmanned surveying, precision guidance, near-real-time communication, on-the-fly data processing, and near-real-time data interpretation into the realm of ground geophysical surveying, all of which offer advantages over current methods of manned collection of ground magnetic data. An unmanned ground vehicle mission has demonstrated that these vehicles can successfully complete missions to collect geophysical data, and add advantages in data collection, processing, and interpretation. We view the current experiment as an initial phase in further unmanned vehicle data-collection missions, including aerial surveying.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, GA","doi":"10.3133/ofr20141013","collaboration":"In cooperation with the National Aeronautics and Space Administration Ames Research Center","usgsCitation":"Phelps, G.A., Ippolito, C., Lee, R., Spritzer, R., and Yeh, Y., 2014, Investigations into near-real-time surveying for geophysical data collection using an autonomous ground vehicle: U.S. Geological Survey Open-File Report 2014-1013, iv, 12 p., https://doi.org/10.3133/ofr20141013.","productDescription":"iv, 12 p.","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-044480","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282658,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141013.jpg"},{"id":282657,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1013/pdf/ofr2014-1013.pdf"},{"id":282652,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1013/"}],"country":"United States","state":"California","city":"Menlo Park","otherGeospatial":"Flood Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.1751655,37.4732472 ], [ -122.1751655,37.4768635 ], [ -122.1690321,37.4768635 ], [ -122.1690321,37.4732472 ], [ -122.1751655,37.4732472 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6322e4b0b290850fe9c3","contributors":{"authors":[{"text":"Phelps, Geoffrey A. gphelps@usgs.gov","contributorId":1179,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":489597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ippolito, C.","contributorId":47686,"corporation":false,"usgs":true,"family":"Ippolito","given":"C.","email":"","affiliations":[],"preferred":false,"id":489598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, R.","contributorId":97153,"corporation":false,"usgs":true,"family":"Lee","given":"R.","affiliations":[],"preferred":false,"id":489601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spritzer, R.","contributorId":85497,"corporation":false,"usgs":true,"family":"Spritzer","given":"R.","email":"","affiliations":[],"preferred":false,"id":489600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yeh, Y.","contributorId":59345,"corporation":false,"usgs":true,"family":"Yeh","given":"Y.","email":"","affiliations":[],"preferred":false,"id":489599,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175910,"text":"70175910 - 2014 - Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR","interactions":[],"lastModifiedDate":"2016-08-20T16:14:44","indexId":"70175910","displayToPublicDate":"2014-02-22T06:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1235,"text":"Chinese Science Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR","docAbstract":"High-precision and high-resolution topography are the fundamental data for active fault research. Light detection and ranging (LiDAR) presents a new approach to build detailed digital elevation models effectively. We take the Haiyuan fault in Gansu Province as an example of how LiDAR data may be used to improve the study of active faults and the risk assessment of related hazards. In the eastern segment of the Haiyuan fault, the Shaomayin site has been comprehensively investigated in previous research because of its exemplary tectonic topographic features. Based on unprecedented LiDAR data, the horizontal and vertical coseismic offsets at the Shaomayin site are described. The measured horizontal value is about 8.6 m, and the vertical value is about 0.8 m. Using prior dating ages sampled from the same location, we estimate the horizontal slip rate as 4.0 ± 1.0 mm/a with high confidence and define that the lower bound of the vertical slip rate is 0.4 ± 0.1 mm/a since the Holocene. LiDAR data can repeat the measurements of field work on quantifying offsets of tectonic landform features quite well. The offset landforms are visualized on an office computer workstation easily, and specialized software may be used to obtain displacement quantitatively. By combining precious chronological results, the fundamental link between fault activity and large earthquakes is better recognized, as well as the potential risk for future earthquake hazards.
","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s11434-014-0199-4","usgsCitation":"Chen, T., Zhang, P., Liu, J., Li, C.Y., Ren, Z.K., and Hudnut, K.W., 2014, Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR: Chinese Science Bulletin, v. 59, no. 20, p. 2396-2409, https://doi.org/10.1007/s11434-014-0199-4.","productDescription":"14 p.","startPage":"2396","endPage":"2409","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064507","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":327124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Gansu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 91.845703125,\n 30.56226095049944\n ],\n [\n 91.845703125,\n 42.908160071960566\n ],\n [\n 108.369140625,\n 42.908160071960566\n ],\n [\n 108.369140625,\n 30.56226095049944\n ],\n [\n 91.845703125,\n 30.56226095049944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-22","publicationStatus":"PW","scienceBaseUri":"57b97f28e4b03fd6b7db87d7","contributors":{"authors":[{"text":"Chen, Tao","contributorId":173898,"corporation":false,"usgs":false,"family":"Chen","given":"Tao","email":"","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Pei Zhen","contributorId":173899,"corporation":false,"usgs":false,"family":"Zhang","given":"Pei Zhen","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jing","contributorId":173900,"corporation":false,"usgs":false,"family":"Liu","given":"Jing","email":"","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Chuan You","contributorId":173901,"corporation":false,"usgs":false,"family":"Li","given":"Chuan","email":"","middleInitial":"You","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ren, Zhi Kun","contributorId":173902,"corporation":false,"usgs":false,"family":"Ren","given":"Zhi","email":"","middleInitial":"Kun","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":646536,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70094493,"text":"70094493 - 2014 - Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands","interactions":[],"lastModifiedDate":"2014-09-05T08:21:58","indexId":"70094493","displayToPublicDate":"2014-02-20T16:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands","docAbstract":"Accelerated soil erosion occurs when anthropogenic processes modify soil, vegetation or climatic conditions causing erosion rates at a location to exceed their natural variability. Identifying where and when accelerated erosion occurs is a critical first step toward its effective management. Here we explore how erosion assessments structured in the context of ecological sites (a land classification based on soils, landscape setting and ecological potential) and their vegetation states (plant assemblages that may change due to management) can inform systems for reducing accelerated soil erosion in rangelands. We evaluated aeolian horizontal sediment flux and fluvial sediment erosion rates for five ecological sites in southern New Mexico, USA, using monitoring data and rangeland-specific wind and water erosion models. Across the ecological sites, plots in shrub-encroached and shrub-dominated vegetation states were consistently susceptible to aeolian sediment flux and fluvial sediment erosion. Both processes were found to be highly variable for grassland and grass-succulent states across the ecological sites at the plot scale (0.25 Ha). We identify vegetation thresholds that define cover levels below which rapid (exponential) increases in aeolian sediment flux and fluvial sediment erosion occur across the ecological sites and vegetation states. Aeolian sediment flux and fluvial erosion in the study area can be effectively controlled when bare ground cover is <20% of a site or the cover of canopy interspaces >100 cm in length is less than ~35%. Land use and management activities that alter cover levels such that they cross thresholds, and/or drive vegetation state changes, may increase the susceptibility of areas to erosion. Land use impacts that are constrained within the range of natural variability should not result in accelerated soil erosion. Evaluating land condition against the erosion thresholds identified here will enable identification of areas susceptible to accelerated soil erosion and the development of practical management solutions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1175.1","usgsCitation":"Webb, N., Herrick, J.E., and Duniway, M.C., 2014, Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands: Ecological Applications, v. 24, no. 6, p. 1405-1420, https://doi.org/10.1890/13-1175.1.","productDescription":"16 p.","startPage":"1405","endPage":"1420","numberOfPages":"16","ipdsId":"IP-050767","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282604,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-1175.1"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.2048,32.1 ], [ -106.2048,32.7018 ], [ -105.4578,32.7018 ], [ -105.4578,32.1 ], [ -106.2048,32.1 ] ] ] } } ] }","volume":"24","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd564de4b0b290850f6d50","contributors":{"authors":[{"text":"Webb, Nicholas P.","contributorId":81409,"corporation":false,"usgs":true,"family":"Webb","given":"Nicholas P.","affiliations":[],"preferred":false,"id":490651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":490650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":490649,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70058590,"text":"ofr20131288 - 2014 - Borehole geophysical data for the East Poplar oil field area, Fort Peck Indian Reservation, northeastern Montana, 1993, 2004, and 2005","interactions":[],"lastModifiedDate":"2020-11-18T14:50:50.90687","indexId":"ofr20131288","displayToPublicDate":"2014-02-20T16:15:00","publicationYear":"2014","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":"2013-1288","displayTitle":"Borehole Geophysical Data for the East Poplar Oil Field Area, Fort Peck Indian Reservation, Northeastern Montana, 1993, 2004, and 2005","title":"Borehole geophysical data for the East Poplar oil field area, Fort Peck Indian Reservation, northeastern Montana, 1993, 2004, and 2005","docAbstract":"Areas of high electrical conductivity in shallow aquifers in the East Poplar oil field area were delineated by the U.S. Geological Survey (USGS), in cooperation with the Fort Peck Assiniboine and Sioux Tribes, in order to interpret areas of saline-water contamination. Ground, airborne, and borehole geophysical data were collected in the East Poplar oil field area from 1992 through 2005 as part of this delineation. This report presents borehole geophysical data for thirty-two wells that were collected during 1993, 2004, and 2005 in the East Poplar oil field study area. Natural-gamma and induction instruments were used to provide information about the lithology and conductivity of the soil, rock, and water matrix adjacent to and within the wells. The well logs were also collected to provide subsurface controls for interpretation of a helicopter electromagnetic survey flown over most of the East Poplar oil field in 2004. The objective of the USGS studies was to improve understanding of aquifer hydrogeology particularly in regard to variations in water quality.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131288","collaboration":"Prepared in cooperation with the Office of Environmental Protection of the Fort Peck Tribes","usgsCitation":"Smith, B.D., Thamke, J.N, and Tyrrell, Christa, 2014, Borehole geophysical data for the East Poplar oil field area, Fort Peck Indian Reservation, northeastern Montana, 1993, 2004, and 2005 (ver. 1.1, November 2020): U.S. Geological Survey Open-File Report 2013–1288, 11 p., https://doi.org/10.3133/ofr20131288.","productDescription":"Report: iv, 11 p.; Appendix","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045027","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":379880,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1288/pdf/ofr2013-1288_Revised.pdf","text":"Report","size":"2.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2013–1288"},{"id":379881,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1288/ofr20131288_appendix_1","text":"Appendix 1","linkHelpText":"— Plots of Digital Geophysical Logs"},{"id":282603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1288/images/coverthb3.jpg"},{"id":379882,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2013/1288/versionHist.txt","size":"2.96 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2013–1288 Version History"}],"country":"United States","state":"Montana","otherGeospatial":"Fort Peck Indian Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.0,48.0 ], [ -106.0,48.5 ], [ -105.0,48.5 ], [ -105.0,48.0 ], [ -106.0,48.0 ] ] ] } } ] }","edition":"Version 1.0: February 20, 2014; Version 1.1: November 18, 2020","contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS 964
Denver, CO 80225
Elevated concentrations of salinity and selenium in the tributaries and main-stem reaches of the Colorado River are a water-quality concern and have been the focus of remediation efforts for many years. Land-management practices with the objective of limiting the amount of salt and selenium that reaches the stream have focused on improving the methods by which irrigation water is conveyed and distributed. Federal land managers implement improvements in accordance with the Colorado River Basin Salinity Control Act of 1974, which directs Federal land managers to enhance and protect the quality of water available in the Colorado River. In an effort to assist in evaluating and mitigating the detrimental effects of salinity and selenium, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, the Colorado River Water Resources District, and the Bureau of Land Management, analyzed salinity and selenium data collected at sites to develop regression models. The study area and sites are on the Colorado River or in one of three small basins in Western Colorado: the White River Basin, the Lower Gunnison River Basin, and the Dolores River Basin. By using data collected from water years 2009 through 2011, regression models able to estimate concentrations were developed for salinity at six sites and selenium at six sites. At a minimum, data from discrete measurement of salinity or selenium concentration, streamflow, and specific conductance at each of the sites were needed for model development. Comparison of the Adjusted R2 and standard error statistics of the two salinity models developed at each site indicated the models using specific conductance as the explanatory variable performed better than those using streamflow. The addition of multiple explanatory variables improved the ability to estimate selenium concentration at several sites compared with use of solely streamflow or specific conductance. The error associated with the log-transformed salinity and selenium estimates is consistent in log space; however, when the estimates are transformed into non-log values, the error increases as the estimates decrease. Continuous streamflow and specific conductance data collected at study sites provide the means to examine temporal variability in constituent concentration and load. The regression models can estimate continuous concentrations or loads on the basis of continuous specific conductance or streamflow data. Similar estimates are available for other sites at the USGS National Real-Time Water Quality Web page (http://nrtwq.usgs.gov) and provide water-resource managers with a means of improving their general understanding of how constituent concentration or load can change annually, seasonally, or in real time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141015","collaboration":"Prepared in cooperation with the Bureau of Reclamation, the Colorado River Water Resources District, and the Bureau of Land Management","usgsCitation":"Linard, J.I., and Schaffrath, K.R., 2014, Regression models for estimating salinity and selenium concentrations at selected sites in the Upper Colorado River Basin, Colorado, 2009-2012: U.S. Geological Survey Open-File Report 2014-1015, v, 28 p., https://doi.org/10.3133/ofr20141015.","productDescription":"v, 28 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-051865","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":282585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141015.jpg"},{"id":282578,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1015/"},{"id":282584,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1015/pdf/of2014-1015.pdf"}],"datum":"North American Datum 1983","country":"United States","state":"Colorado","otherGeospatial":"Colorado River, Dolores River Basin, Lower Gunnison River Basin, Upper Colorado River Basin, White River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.05,\n 38\n ],\n [\n -109.05,\n 40.5\n ],\n [\n -107.1,\n 40.5\n ],\n [\n -107.1,\n 38\n ],\n [\n -109.05,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd700de4b0b29085106cd2","contributors":{"authors":[{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":489565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094482,"text":"70094482 - 2014 - Cenozoic planktonic marine diatom diversity and correlation to climate change","interactions":[],"lastModifiedDate":"2014-02-20T09:25:19","indexId":"70094482","displayToPublicDate":"2014-02-20T09:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Cenozoic planktonic marine diatom diversity and correlation to climate change","docAbstract":"Marine planktonic diatoms export carbon to the deep ocean, playing a key role in the global carbon cycle. Although commonly thought to have diversified over the Cenozoic as global oceans cooled, only two conflicting quantitative reconstructions exist, both from the Neptune deep-sea microfossil occurrences database. Total diversity shows Cenozoic increase but is sample size biased; conventional subsampling shows little net change. We calculate diversity from a separately compiled new diatom species range catalog, and recalculate Neptune subsampled-in-bin diversity using new methods to correct for increasing Cenozoic geographic endemism and decreasing Cenozoic evenness. We find coherent, substantial Cenozoic diversification in both datasets. Many living cold water species, including species important for export productivity, originate only in the latest Miocene or younger. We make a first quantitative comparison of diatom diversity to the global Cenozoic benthic ∂18O (climate) and carbon cycle records (∂13C, and 20-0 Ma pCO2). Warmer climates are strongly correlated with lower diatom diversity (raw: rho = .92, p<.001; detrended, r = .6, p = .01). Diatoms were 20% less diverse in the early late Miocene, when temperatures and pCO2 were only moderately higher than today. Diversity is strongly correlated to both ∂13C and pCO2 over the last 15 my (for both: r>.9, detrended r>.6, all p<.001), but only weakly over the earlier Cenozoic, suggesting increasingly strong linkage of diatom and climate evolution in the Neogene. Our results suggest that many living marine planktonic diatom species may be at risk of extinction in future warm oceans, with an unknown but potentially substantial negative impact on the ocean biologic pump and oceanic carbon sequestration. We cannot however extrapolate our my-scale correlations with generic climate proxies to anthropogenic time-scales of warming without additional species-specific information on proximate ecologic controls.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0084857","usgsCitation":"Lazarus, D., Barron, J., Renaudie, J., Diver, P., and Turke, A., 2014, Cenozoic planktonic marine diatom diversity and correlation to climate change: PLoS ONE, v. 9, no. 1, 8 p., https://doi.org/10.1371/journal.pone.0084857.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","costCenters":[],"links":[{"id":473169,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084857","text":"Publisher Index Page"},{"id":282560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282559,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084857"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-22","publicationStatus":"PW","scienceBaseUri":"5351702be4b05569d805a18a","contributors":{"authors":[{"text":"Lazarus, David","contributorId":71877,"corporation":false,"usgs":true,"family":"Lazarus","given":"David","email":"","affiliations":[],"preferred":false,"id":490609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barron, John","contributorId":87059,"corporation":false,"usgs":true,"family":"Barron","given":"John","affiliations":[],"preferred":false,"id":490610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renaudie, Johan","contributorId":17908,"corporation":false,"usgs":true,"family":"Renaudie","given":"Johan","email":"","affiliations":[],"preferred":false,"id":490607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diver, Patrick","contributorId":41329,"corporation":false,"usgs":true,"family":"Diver","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":490608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turke, Andreas","contributorId":97419,"corporation":false,"usgs":true,"family":"Turke","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":490611,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048995,"text":"ds804 - 2014 - Magnetic susceptibility data for some exposed bedrock in the western conterminous United States","interactions":[],"lastModifiedDate":"2023-05-26T15:33:36.390647","indexId":"ds804","displayToPublicDate":"2014-02-20T08:19:00","publicationYear":"2014","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":"804","title":"Magnetic susceptibility data for some exposed bedrock in the western conterminous United States","docAbstract":"In-place rock magnetic susceptibility measurements for 746 sites in the western conterminous United States are reported in a database. Of these 746 sites, 408 sites are in the Silverton Caldera area of the San Juan Mountains of southwestern Colorado. Of the 408 sites in the Silverton Caldera area, 106 sites are underground. The remaining 338 sites outside the Silverton Caldera area were on outcropping rock, are distributed from southern Arizona to northwestern Wyoming, and include data from California, Nevada, Utah, Colorado, and New Mexico. Rock-density measurements are included for some sites. These data have been collected by various U.S. Geological Survey studies from 1991 through 2012 and are intended to help improve geophysical modeling of the Earth’s crust in the Western United States. A map-based graphical user interface is included to facilitate use of the data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds804","usgsCitation":"Gettings, M.E., and Bultman, M.W., 2014, Magnetic susceptibility data for some exposed bedrock in the western conterminous United States: U.S. Geological Survey Data Series 804, Report: iv, 5 p.; Graphical User Interface; Magnetic Susceptibility Data, https://doi.org/10.3133/ds804.","productDescription":"Report: iv, 5 p.; Graphical User Interface; Magnetic Susceptibility Data","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-044645","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":417510,"rank":6,"type":{"id":36,"text":"NGMDB Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd654be4b0b290850ffff9","contributors":{"authors":[{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":485961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bultman, Mark W. 0000-0001-8352-101X mbultman@usgs.gov","orcid":"https://orcid.org/0000-0001-8352-101X","contributorId":3348,"corporation":false,"usgs":true,"family":"Bultman","given":"Mark","email":"mbultman@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":485962,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093657,"text":"ofr20141022 - 2014 - Groundwater level and nitrate concentration trends on Mountain Home Air Force Base, southwestern Idaho","interactions":[],"lastModifiedDate":"2014-02-20T09:25:57","indexId":"ofr20141022","displayToPublicDate":"2014-02-20T07:33:00","publicationYear":"2014","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":"2014-1022","title":"Groundwater level and nitrate concentration trends on Mountain Home Air Force Base, southwestern Idaho","docAbstract":"Mountain Home Air Force Base in southwestern Idaho draws most of its drinking water from the regional aquifer. The base is located within the State of Idaho's Mountain Home Groundwater Management Area and is adjacent to the State's Cinder Cone Butte Critical Groundwater Area. Both areas were established by the Idaho Department of Water Resources in the early 1980s because of declining water levels in the regional aquifer. The base also is listed by the Idaho Department of Environmental Quality as a nitrate priority area.
\nThe U.S. Geological Survey, in cooperation with the U.S. Air Force, began monitoring wells on the base in 1985, and currently monitors 25 wells for water levels and 17 wells for water quality, primarily nutrients. This report provides a summary of water-level and nitrate concentration data collected primarily between 2001 and 2013 and examines trends in those data.
\nA Regional Kendall Test was run to combine results from all wells to determine an overall regional trend in water level. Groundwater levels declined at an average rate of about 1.08 feet per year.
\nNitrate concentration trends show that 3 wells (18 percent) are increasing in nitrate concentration trend, 3 wells (18 percent) show a decreasing nitrate concentration trend, and 11 wells (64 percent) show no nitrate concentration trend. Six wells (35 percent) currently exceed the U.S. Environmental Protection Agency's maximum contaminant limit of 10 milligrams per liter for nitrate (nitrite plus nitrate, measured as nitrogen).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141022","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Williams, M.L., 2014, Groundwater level and nitrate concentration trends on Mountain Home Air Force Base, southwestern Idaho: U.S. Geological Survey Open-File Report 2014-1022, Slide Presentation: 49 p., https://doi.org/10.3133/ofr20141022.","productDescription":"Slide Presentation: 49 p.","numberOfPages":"49","onlineOnly":"Y","ipdsId":"IP-044354","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":282549,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1022/"},{"id":282551,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1022/pdf/ofr2014-1022.pdf"},{"id":282552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141022.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.2675,42.7677 ], [ -116.2675,43.6015 ], [ -115.397,43.6015 ], [ -115.397,42.7677 ], [ -116.2675,42.7677 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5fe8e4b0b290850fc979","contributors":{"authors":[{"text":"Williams, Marshall L. mlwilliams@usgs.gov","contributorId":1444,"corporation":false,"usgs":true,"family":"Williams","given":"Marshall","email":"mlwilliams@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490139,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048963,"text":"ds800 - 2014 - Digital representation of oil and natural gas well pad scars in southwest Wyoming","interactions":[],"lastModifiedDate":"2014-02-19T14:41:37","indexId":"ds800","displayToPublicDate":"2014-02-19T14:37:14","publicationYear":"2014","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":"800","title":"Digital representation of oil and natural gas well pad scars in southwest Wyoming","docAbstract":"The recent proliferation of oil and natural gas energy development in southwest Wyoming has stimulated the need to understand wildlife responses to this development. Central to many wildlife assessments is the use of geospatial methods that rely on digital representation of energy infrastructure. Surface disturbance of the well pad scars associated with oil and natural gas extraction has been an important but unavailable infrastructure layer. To provide a digital baseline of this surface disturbance, we extracted visible oil and gas well pad scars from 1-meter National Agriculture Imagery Program imagery (NAIP) acquired in 2009 for a 7.7 million-hectare region of southwest Wyoming. Scars include the pad area where wellheads, pumps, and storage facilities reside, and the surrounding area that was scraped and denuded of vegetation during the establishment of the pad. Scars containing tanks, compressors, and the storage of oil and gas related equipment, and produced-water ponds were also collected on occasion. Our extraction method was a two-step process starting with automated extraction followed by manual inspection and clean up. We used available well-point information to guide manual clean up and to derive estimates of year of origin and duration of activity on a pad scar. We also derived estimates of the proportion of non-vegetated area on a scar using a Normalized Difference Vegetation Index derived using 1-meter NAIP imagery. We extracted 16,973 pad scars of which 15,318 were oil and gas well pads. Digital representation of pad scars along with time-stamps of activity and estimates of non-vegetated area provides important baseline (circa 2009) data for assessments of wildlife responses, land-use trends, and disturbance-mediated pattern assessments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds800","usgsCitation":"Garman, S.L., and McBeth, J.L., 2014, Digital representation of oil and natural gas well pad scars in southwest Wyoming: U.S. Geological Survey Data Series 800, Report: iv, 7 p.; Downloads Directory, https://doi.org/10.3133/ds800.","productDescription":"Report: iv, 7 p.; Downloads Directory","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-039038","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":282545,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/800/"},{"id":282547,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/800/downloads/"},{"id":282546,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/800/pdf/ds800.pdf"},{"id":282548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds800.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5511e4b0b290850f61cb","contributors":{"authors":[{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBeth, Jamie L. 0000-0002-7688-7985 jlmcbeth@usgs.gov","orcid":"https://orcid.org/0000-0002-7688-7985","contributorId":1254,"corporation":false,"usgs":true,"family":"McBeth","given":"Jamie","email":"jlmcbeth@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485884,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094365,"text":"70094365 - 2014 - The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters","interactions":[],"lastModifiedDate":"2018-09-04T16:35:58","indexId":"70094365","displayToPublicDate":"2014-02-19T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters","docAbstract":"Sodium bicarbonate (NaHCO3) is the principal salt in coal bed natural gas produced water from the Powder River Structural Basin, Wyoming, USA, and concentrations of up to 3000 mg NaHCO3/L have been documented at some locations. No adequate studies have been performed to assess the chronic effects of NaHCO3 exposure. The present study was initiated to investigate the chronic toxicity and define sublethal effects at the individual organism level to explain the mechanisms of NaHCO3 toxicity. Three chronic experiments were completed with fathead minnows (Pimephales promelas), 1 with white suckers (Catostomus commersoni), 1 with Ceriodaphnia dubia, and 1 with a freshwater mussel, (Lampsilis siliquoidea). The data demonstrated that approximately 500 mg NaHCO3/L to 1000 mg NaHCO3/L affected all species of experimental aquatic animals in chronic exposure conditions. Freshwater mussels were the least sensitive to NaHCO3 exposure, with a 10-d inhibition concentration that affects 20% of the sample population (IC20) of 952 mg NaHCO3/L. The IC20 for C. dubia was the smallest, at 359 mg NaHCO3/L. A significant decrease in sodium–potassium adenosine triphosphatase (Na+/K+ ATPase) together with the lack of growth effects suggests that Na+/K+ ATPase activity was shut down before the onset of death. Several histological anomalies, including increased incidence of necrotic cells, suggested that fish were adversely affected as a result of exposure to >450 mg NaHCO3/L.","language":"English","publisher":"Wiley","doi":"10.1002/etc.2455","usgsCitation":"Farag, A.M., and Harper, D., 2014, The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters: Environmental Toxicology and Chemistry, v. 33, no. 3, p. 532-540, https://doi.org/10.1002/etc.2455.","productDescription":"9 p.","startPage":"532","endPage":"540","numberOfPages":"9","ipdsId":"IP-045346","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":282541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282540,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2455"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"53517069e4b05569d805a3f9","contributors":{"authors":[{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":490590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harper, David D.","contributorId":102946,"corporation":false,"usgs":true,"family":"Harper","given":"David D.","affiliations":[],"preferred":false,"id":490591,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093835,"text":"ofr20141029 - 2014 - Improving paleoecology studies for future predictions: Role of spatial and temporal scales for understanding ecology of the arid and semiarid landscape of the Southwest","interactions":[],"lastModifiedDate":"2023-05-26T15:34:50.008525","indexId":"ofr20141029","displayToPublicDate":"2014-02-18T15:27:00","publicationYear":"2014","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":"2014-1029","title":"Improving paleoecology studies for future predictions: Role of spatial and temporal scales for understanding ecology of the arid and semiarid landscape of the Southwest","docAbstract":"Paleoecology (or ecological biogeography) describes the past distribution of species or communities and is an informative path used to understand the future in the face of climate change. Paleoecological changes in the Southwest over the past several thousand years happened in the presence of landscape manipulations by humans, a factor that adds relevance but increases difficulty of interpretation. What paleo-records are needed for (1) understanding past climate-driven changes (climate proxies), (2) resolving species sensitivity to and resilience against change (biogeographical data), and (3) understanding past ecosystem function and changes (environmental data)? What information is most urgently needed for ecosystem forecasts, and are there kinds of monitoring we need to start now so that we will have ground truth in the near future? These are major questions. 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Based on these inputs, we obtain estimates for average total LUC emissions of 6.1, 2.2, 1.0, 2.2, and 2.4 gCO2e/MJ for Corn-15 Billion gallons (BG), Miscanthus × giganteus (MxG)-7 BG, Switchgrass (SG)-7 BG, MxG-14 BG, and SG-14 BG scenarios, respectively.
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Michael","contributorId":146742,"corporation":false,"usgs":false,"family":"Glotter","given":"Michael","email":"","affiliations":[],"preferred":false,"id":568857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunn, Jennifer B.","contributorId":146743,"corporation":false,"usgs":false,"family":"Dunn","given":"Jennifer","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":568858,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foster, Ian","contributorId":146744,"corporation":false,"usgs":false,"family":"Foster","given":"Ian","email":"","affiliations":[],"preferred":false,"id":568859,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miguez, Fernando","contributorId":146745,"corporation":false,"usgs":false,"family":"Miguez","given":"Fernando","email":"","affiliations":[],"preferred":false,"id":568860,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Steffen","contributorId":146746,"corporation":false,"usgs":false,"family":"Mueller","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":568861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Michael","contributorId":146747,"corporation":false,"usgs":false,"family":"Wang","given":"Michael","email":"","affiliations":[],"preferred":false,"id":568862,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70094147,"text":"70094147 - 2014 - Health of white sucker within the St. Louis River area of concern associated with habitat usage as assessed using stable isotopes","interactions":[],"lastModifiedDate":"2014-02-18T09:14:29","indexId":"70094147","displayToPublicDate":"2014-02-17T12:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Health of white sucker within the St. Louis River area of concern associated with habitat usage as assessed using stable isotopes","docAbstract":"In Spring 2011, 200 adult white sucker were collected in four areas of the St. Louis River area of concern (AOC), located in Minnesota and Wisconsin, USA. The areas included the upper AOC as a reference area, the upper estuary, St. Louis Bay and Superior Bay. Grossly visible abnormalities were documented and preserved for microscopic analyses, as were five to eight representative pieces of liver tissue. A piece of dorsal muscle was preserved for stable isotope analyses and otoliths removed for age determination. The incidence of raised skin lesions (mucoid plaques) was high (31 %), however, microscopically only 4.5 % of the white suckers had neoplasia (papillomas). The remaining lesions were epidermal hyperplasia. Superior Bay had the lowest percentage of skin/lip lesions (10 %), while St. Louis Bay had the highest (44 %). St. Louis Bay also had the highest incidence of skin neoplasms (12 %). No hepatocellular neoplasms were documented, however bile duct tumors were observed in 4.5 % of the suckers. Foci of cellular alteration were observed in fish from all sites except the upper AOC. Stable isotope data indicated that most of the suckers relied on the St. Louis River AOC for the majority (>75 %) of their diet, indicating they were resident within the AOC and not in Lake Superior. The amount of diet obtained from the upper estuary was a significant predictor of skin lesion incidence. Hence, habitat use within the AOC appears to be an important risk factor for skin and possibly, liver lesions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10646-013-1167-5","usgsCitation":"Blazer, V., Hoffman, J., Walsh, H., Braham, R., Hahn, C., Collins, P., Jorgenson, Z., and Ledder, T., 2014, Health of white sucker within the St. Louis River area of concern associated with habitat usage as assessed using stable isotopes: Ecotoxicology, v. 23, no. 2, p. 236-251, https://doi.org/10.1007/s10646-013-1167-5.","productDescription":"15 p.","startPage":"236","endPage":"251","ipdsId":"IP-052117","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10646-013-1167-5","text":"Publisher Index Page"},{"id":282451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282450,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10646-013-1167-5"}],"country":"United States","state":"Minnesota;Wisconsin","otherGeospatial":"St. Louis River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.465667,46.637474 ], [ -92.465667,46.760165 ], [ -92.000994,46.760165 ], [ -92.000994,46.637474 ], [ -92.465667,46.637474 ] ] ] } } ] }","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-12-27","publicationStatus":"PW","scienceBaseUri":"53033093e4b077b8e0dad962","contributors":{"authors":[{"text":"Blazer, V. S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":56991,"corporation":false,"usgs":true,"family":"Blazer","given":"V. S.","affiliations":[],"preferred":false,"id":490433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, J.","contributorId":71475,"corporation":false,"usgs":true,"family":"Hoffman","given":"J.","affiliations":[],"preferred":false,"id":490435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, H.L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":15927,"corporation":false,"usgs":true,"family":"Walsh","given":"H.L.","email":"hwalsh@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, R.P.","contributorId":65378,"corporation":false,"usgs":true,"family":"Braham","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":490434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hahn, C.","contributorId":41330,"corporation":false,"usgs":true,"family":"Hahn","given":"C.","affiliations":[],"preferred":false,"id":490432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, P.","contributorId":31302,"corporation":false,"usgs":true,"family":"Collins","given":"P.","email":"","affiliations":[],"preferred":false,"id":490430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgenson, Z.","contributorId":35638,"corporation":false,"usgs":true,"family":"Jorgenson","given":"Z.","email":"","affiliations":[],"preferred":false,"id":490431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ledder, T.","contributorId":15517,"corporation":false,"usgs":true,"family":"Ledder","given":"T.","email":"","affiliations":[],"preferred":false,"id":490428,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70074486,"text":"ofr20141010 - 2014 - Gunnison sage-grouse lek site suitability modeling","interactions":[],"lastModifiedDate":"2018-08-10T16:13:06","indexId":"ofr20141010","displayToPublicDate":"2014-02-17T09:22:00","publicationYear":"2014","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":"2014-1010","title":"Gunnison sage-grouse lek site suitability modeling","docAbstract":"In order to better understand and protect species with minimal or decreasing populations, it is imperative to determine their actual existing population size. The focal species for this project is the Gunnison sage-grouse (GUSG), which became a proposed endangered species under the Endangered Species Act, thus confirming the need for better population estimates. Lek site counting during mating season has historically been the primary method for estimating population size since the grouse are very difficult to count at other times of the year. The objective of this project was to use historical data and available technology to identify additional potential lekking sites. This was done by determining areas throughout the study area that have the same landscape characteristics as those where known lekking activities occur. More accurate population counts could be the outcome of locating more lek sites.
\nOne of the remaining seven GUSG populations, the Crawford population (estimated at 128 individuals) exists in an area that includes the Gunnison Gorge National Conservation Area and the northern portion of the Black Canyon of the Gunnison National Park (our study area). While the Crawford population is small, it is still considered a self-sustaining population; the persistence and growth of this population directly contribute to genetic diversity conservation of this declining species. To date, only observational and anecdotal information about the Crawford population’s range, movements, and seasonal habitat use exist.
\nFrom 1978 to the present, GUSG population monitoring has been accomplished through annual lek counts conducted each spring during GUSG mating season. Although this method has provided information on GUSG population trends, it is somewhat limited because counts are based only on known lekking sites and historically minimal efforts have been made to identify additional lek sites. To meet the objective of locating more potential lekking sites, we used a suite of spatial data, geographic information system tools, and maximum entropy species distribution tools. Based on expert knowledge and landscape variables, the modeling process evolved into a hybrid approach for delineating areas that would have a significant probability for supporting GUSG lekking activities. Based on model results, a sampling protocol was developed for model verification. The results of this project provide wildlife managers with a more sophisticated methodology to evaluate GUSG habitat for potential lekking sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141010","issn":"2331–1258","collaboration":"Prepared in cooperation with the National Audubon Society, the Bureau of Land Management, the National Park Service, the U.S. Department of Agriculture Forest Service, Colorado Parks and Wildlife, and the Habitat Partnership Program","usgsCitation":"Ouren, D.S., Ignizio, D., Siders, M., Childers, T., Tucker, K., and Seward, N., 2014, Gunnison sage-grouse lek site suitability modeling: U.S. Geological Survey Open-File Report 2014-1010, iv, 18 p., https://doi.org/10.3133/ofr20141010.","productDescription":"iv, 18 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-045621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":282447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141010.jpg"},{"id":282443,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1010/"},{"id":282446,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1010/pdf/of2014-1010.pdf"}],"country":"United States","state":"Colorado","county":"Delta County;Gunnison County;Montrose County","otherGeospatial":"Black Canyon Of Gunnison National Park;Gunnison Gorge National Conservation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.0,38.25 ], [ -108.0,38.75 ], [ -107.25,38.75 ], [ -107.25,38.25 ], [ -108.0,38.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6011e4b0b290850fcb08","contributors":{"authors":[{"text":"Ouren, Douglas S. ourend@usgs.gov","contributorId":1931,"corporation":false,"usgs":true,"family":"Ouren","given":"Douglas","email":"ourend@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":489602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":489603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siders, Melissa","contributorId":78647,"corporation":false,"usgs":true,"family":"Siders","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":489607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Childers, Theresa","contributorId":62139,"corporation":false,"usgs":true,"family":"Childers","given":"Theresa","affiliations":[],"preferred":false,"id":489605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tucker, Karen","contributorId":50821,"corporation":false,"usgs":true,"family":"Tucker","given":"Karen","affiliations":[],"preferred":false,"id":489604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seward, Nathan","contributorId":66599,"corporation":false,"usgs":true,"family":"Seward","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":489606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70094535,"text":"70094535 - 2014 - Early indicators of change: divergent climate envelopes between tree life stages imply range shifts in the western United States","interactions":[],"lastModifiedDate":"2014-02-21T08:53:03","indexId":"70094535","displayToPublicDate":"2014-02-17T08:42:27","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Early indicators of change: divergent climate envelopes between tree life stages imply range shifts in the western United States","docAbstract":"Aim\nTo determine if differences in climate envelopes for six coniferous tree species and two life stages (trees and seedlings) suggest a potential for species range contractions, expansions or shifts in response to climate change and if these patterns differ between subalpine (i.e. cool-climate) and montane (i.e. warm-climate) species.\n\nLocation\nThe dry domain of the western United States.\n\nMethods\nUsing data from the Forest Inventory and Analysis National Program, we quantified the relationship between probability of occurrence and climate for adults and seedlings of each species with a Bayesian logistic regression. Assuming that distributional differences between life stages highlight shifting regeneration patterns relative to adult trees, we assessed differences between seedlings and adult trees based on predicted probabilities of occurrence and climate envelope boundaries.\n\nResults\nDifferences between occurrence probabilities for seedlings and adults were greatest for montane, as opposed to subalpine, species and along range margins, especially in the southern and western portions of the study area. Climate envelope boundaries of seedlings differed from adult trees most frequently in montane species and often suggested range contractions or range shifts, as opposed to range expansion.\n\nMain conclusions\nOur results indicated that climate-induced contractions and shifts in seedling distribution in response to recent change are already under way and are particularly severe in montane tree species. While adult trees may persist for hundreds of years without significant regeneration, tree species ranges will eventually contract where tree regeneration fails.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Ecology and Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1111/geb.12109","usgsCitation":"Bell, D.M., Bradford, J.B., and Lauenroth, W.K., 2014, Early indicators of change: divergent climate envelopes between tree life stages imply range shifts in the western United States: Global Ecology and Biogeography, v. 23, no. 2, p. 168-180, https://doi.org/10.1111/geb.12109.","productDescription":"13 p.","startPage":"168","endPage":"180","ipdsId":"IP-038981","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282606,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/geb.12109"}],"country":"United States","state":"Colorado;Idaho;Montana;Utah;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.100833333333332,3.1347222222222224 ], [ -11.100833333333332,0.0011111111111111111 ], [ -106.3,0.0011111111111111111 ], [ -106.3,3.1347222222222224 ], [ -11.100833333333332,3.1347222222222224 ] ] ] } } ] }","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-10-13","publicationStatus":"PW","scienceBaseUri":"53517035e4b05569d805a1d3","contributors":{"authors":[{"text":"Bell, David M.","contributorId":34423,"corporation":false,"usgs":true,"family":"Bell","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":490666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":490668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70074060,"text":"ds822 - 2014 - USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011","interactions":[],"lastModifiedDate":"2014-02-15T12:59:01","indexId":"ds822","displayToPublicDate":"2014-02-14T15:54:00","publicationYear":"2014","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":"822","title":"USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011","docAbstract":"During September and November 2011 the (USGS), in cooperation with (USF), conducted geochemical surveys on the west Florida Shelf to investigate the effects of climate change on ocean acidification within the northern Gulf of Mexico, specifically, the effect of ocean acidification on marine organisms and habitats. The first cruise was conducted from September 20 to 28 (11BHM03) and the second was from November 2 to 4 (11BHM04). To view each cruise's survey lines, please see the Trackline page. Each cruise took place aboard the Research Vessel (R/V) Weatherbird II, a ship of opportunity led by Dr. Kendra Daly (USF), which departed from and returned to Saint Petersburg, Florida.
\nData collection included sampling of the surface and water column with lab analysis of pH, dissolved inorganic carbon (DIC) or total carbon dioxide (TCO2), and total alkalinity (TA). lLb analysis was augmented with a continuous flow-through system (referred to as sonde data) with a conductivity-temperature-depth (CTD) sensor, which also recorded salinity and pH. Corroborating the USGS data are the vertical CTD profiles (referred to as station samples) collected by USF. The CTD casts measured continuous vertical profiles of oxygen, chlorophyll fluorescence and optical backscatter. Discrete samples for nutrients, chlorophyll, and particulate organic carbon/nitrogen were also collected during the CTD casts. Two autonomous flow-through (AFT) instruments recorded pH and CO2 every 3-5 minutes on each cruise (referred to as AFT data).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds822","usgsCitation":"Robbins, L.L., Knorr, P.O., Daly, K.L., and Barrera, K.E., 2014, USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011: U.S. Geological Survey Data Series 822, HTML Document, https://doi.org/10.3133/ds822.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-051017","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds822.jpg"},{"id":282445,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0822/"},{"id":282444,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0822/title.html"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.40 ], [ -81.04,30.40 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7a17e4b0b2908510d445","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daly, Kendra L.","contributorId":79018,"corporation":false,"usgs":true,"family":"Daly","given":"Kendra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074059,"text":"ds712 - 2014 - USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011","interactions":[],"lastModifiedDate":"2015-02-02T15:10:14","indexId":"ds712","displayToPublicDate":"2014-02-14T14:37:00","publicationYear":"2014","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":"712","title":"USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011","docAbstract":"During May and June 2011 the (USGS), in cooperation with (USF), conducted geochemical surveys on the west Florida Shelf to investigate the effects of climate change on ocean acidification within the northern Gulf of Mexico, specifically, the effect of ocean acidification on marine organisms and habitats. The first cruise was conducted from May 3 to 9 (11BHM01) and the second was from June 25 to 30 (11BHM02). To view each cruise's survey lines, please see the Trackline page. Each cruise took place aboard the Research Vessel (R/V) Weatherbird II, a ship of opportunity led by Dr. Kendra Daly (USF), which departed from and returned to Saint Petersburg, Florida. Data collection included sampling of the surface and water column with lab analysis of pH, dissolved inorganic carbon (DIC) or total carbon dioxide (TCO2), and total alkalinity (TA). lLb analysis was augmented with a continuous flow-through system (referred to as sonde data) with a conductivity-temperature-depth (CTD) sensor, which also recorded salinity and pH. Corroborating the USGS data are the vertical CTD profiles (referred to as station samples) collected by USF. The CTD casts measured continuous vertical profiles of oxygen, chlorophyll fluorescence and optical backscatter. Discrete samples for nutrients, chlorophyll, and particulate organic carbon/nitrogen were also collected during the CTD casts. Two autonomous flow-through (AFT) instruments recorded pH and CO2 every 3-5 minutes on each cruise (referred to as AFT data).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds712","usgsCitation":"Robbins, L.L., Knorr, P.O., Daly, K.L., Taylor, C.A., and Barrera, K.E., 2014, USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011: U.S. Geological Survey Data Series 712, HTML Document, https://doi.org/10.3133/ds712.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040390","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds712.jpg"},{"id":282432,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0712/"},{"id":282433,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0712/title.html"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.143310546875,\n 27.32297494724568\n ],\n [\n -88.143310546875,\n 30.344435586368462\n ],\n [\n -82.37548828125,\n 30.344435586368462\n ],\n [\n -82.37548828125,\n 27.32297494724568\n ],\n [\n -88.143310546875,\n 27.32297494724568\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7a17e4b0b2908510d443","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daly, Kendra L.","contributorId":79018,"corporation":false,"usgs":true,"family":"Daly","given":"Kendra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Carl A.","contributorId":9960,"corporation":false,"usgs":true,"family":"Taylor","given":"Carl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489357,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048968,"text":"ofr20131107 - 2014 - Field manual for the collection of Navajo Nation streamflow-gage data","interactions":[],"lastModifiedDate":"2014-02-14T10:50:00","indexId":"ofr20131107","displayToPublicDate":"2014-02-14T10:44:00","publicationYear":"2014","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":"2013-1107","title":"Field manual for the collection of Navajo Nation streamflow-gage data","docAbstract":"The Field Manual for the Collection of Navajo Nation Streamflow-Gage Data (Navajo Field Manual) is based on established (standard) U.S. Geological Survey streamflow-gaging methods and provides guidelines specifically designed for the Navajo Department of Water Resources personnel who establish and maintain streamflow gages. The Navajo Field Manual addresses field visits, including essential field equipment and the selection of and routine visits to streamflow-gaging stations, examines surveying methods for determining peak flows (indirect measurements), discusses safety considerations, and defines basic terms.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131107","collaboration":"Prepared in cooperation with the Navajo Nation’s Department of Water Resources, Water Management Branch","usgsCitation":"Hart, R.J., and Fisk, G.G., 2014, Field manual for the collection of Navajo Nation streamflow-gage data: U.S. Geological Survey Open-File Report 2013-1107, vi, 41 p., https://doi.org/10.3133/ofr20131107.","productDescription":"vi, 41 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040678","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":282388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131107.jpg"},{"id":282386,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1107/"},{"id":282387,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1107/pdf/ofr2013-1107.pdf"}],"country":"United States","state":"Arizona;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,35.0 ], [ -112.0,37.5 ], [ -108.0,37.5 ], [ -108.0,35.0 ], [ -112.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5944e4b0b290850f89ae","contributors":{"authors":[{"text":"Hart, Robert J. bhart@usgs.gov","contributorId":598,"corporation":false,"usgs":true,"family":"Hart","given":"Robert","email":"bhart@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisk, Gregory G.","contributorId":51728,"corporation":false,"usgs":true,"family":"Fisk","given":"Gregory","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":485897,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70068726,"text":"sir20135197 - 2014 - A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012","interactions":[],"lastModifiedDate":"2016-08-10T10:58:33","indexId":"sir20135197","displayToPublicDate":"2014-02-13T12:43:00","publicationYear":"2014","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":"2013-5197","title":"A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012","docAbstract":"Velocimetric surveys were made by the U.S. Geological Survey in 2011 and 2012 to provide data for the U.S. Army Corps of Engineers’ ongoing study of bed degradation in the Lower Missouri River. Using Acoustic Doppler Current Profile technology, velocity data were collected at 87 river miles along the Lower Missouri River from Rulo, Nebraska to Waverly, Missouri, from July to October 2011 and in July 2012, for a total of 118 velocimetric surveys. Multiple-repeat velocimetric surveys were done eight times at three river miles from July to October 2011. Synoptic velocimetric surveys spanning 2–4 days were done twice at ten river miles, once in July 2011 and once in October 2011. Additional synoptic velocimetric surveys were done at proximal river miles in October 2011 and July 2012. Main-channel, near-bed, near-bank, and whole-river velocities were extracted from the Acoustic Doppler Current Profile data using AdMap and compiled as an average of reciprocal pairs for each survey. In addition, the mean velocity computed by the Winriver II software for each survey was integrated with the extracted data.
\n\n
Multiple-repeat velocimetric surveys in the vicinity of Kansas City and Waverly, Missouri, in 2011 indicated that main-channel, near-bed, near-bank, and whole-river velocities generally declined with respect to declining daily mean discharges at the St. Joseph and Waverly, Missouri streamgaging stations. Statistical analysis of the four extracted velocity types indicated that multiple-repeat velocimetric surveys were strongly correlated with daily mean discharges at nearby streamgaging stations (coefficient of determination greater than 0.75). Main-channel velocity exceeded whole-river velocity by an average of 25 percent at river mile 357.70, 22 percent at river mile 357.09, and 6.8 percent at river mile 290.20 for all velocimetric surveys at each location, respectively. Mainchannel, near-bed, near-bank, and whole-river velocities declined about 48 percent from July to October 2011 at the Kansas City sites and about 38 percent at the Waverly site. Winriver II mean velocity from multiple-repeat velocimetric surveys indicated that the relation between all velocities was inconsistent from July to October 2011. Percent changes in channel width from July to October 2011 were typically less than concurrent changes in channel area and instantaneous discharge. The combined synoptic and multiple-repeat survey data for July 2011 did not indicate a clear longitudinal trend of velocity as instantaneous discharge increased downstream. Main-channel velocity exceeded whole-river velocity by an average of 22 percent during July 2011 and in some cases by more than 40 percent (river miles 452.50 and 308.80). Evaluation of 10 pairs of synoptic and synoptic-repeat velocimetric surveys with multiple-repeat velocimetric surveys from July to October 2011 indicated that all velocity types and channel width decreased by about one-third. Channel area and instantaneous discharge decreased by more than 50 percent from July to October 2011 and the percent by which main-channel velocity exceeded whole-river velocity decreased slightly from 22 percent in July to 19 percent. Comparing high (July 2011) to low (October 2011) discharge, where the channel width and area expanded by a factor of nearly 3.0 or more at high discharge (river miles 492.38 to 452.50), main-channel, near-bed, near-bank, and whole-river velocities increased by factors in the range of 1.1 to 1.7 and Winriver II mean velocity decreased. At the Kansas City river miles, all velocity types and channel areas nearly doubled at high discharge and channel widths remained similar to those at low discharge. Multiple-repeat and synoptic velocimetric surveys evaluated in October 2011 indicated that main-channel, near-bed, nearbank, and whole-river velocities generally increased downstream from river miles 424.20 to 404.70 and then decreased, until river mile 290.20, where they increased slightly.
\n\n
Of the July 2012 synoptic velocimetric surveys, velocities near St. Joseph, Missouri, indicated no longitudinal trends in the main-channel, near-bed, near-bank, and whole-river velocities. The Kansas City and Waverly synoptic velocimetric surveys indicated a general decrease in these velocities proceeding downstream. For all 2012 surveys, near-bed velocity was closest in magnitude to Winriver II mean velocity and near-bed and whole-river velocities decreased with increasing channel area. For the entire study, variations in near-bank velocity may have been due to the influence of channel structures and their diversion of higher velocities away from the channel edges.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135197","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Kansas City District","usgsCitation":"Armstrong, D., Wilkison, D.H., and Norman, R.D., 2014, A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012: U.S. Geological Survey Scientific Investigations Report 2013-5197, v, 34 p., https://doi.org/10.3133/sir20135197.","productDescription":"v, 34 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-07-01","temporalEnd":"2012-07-31","ipdsId":"IP-043216","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":282348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135197.jpg"},{"id":282346,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5197/"},{"id":282347,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5197/pdf/sir2013-5197.pdf"}],"projection":"Universal Transverse Mercator","country":"United States","state":"Missouri;Nebraska","city":"Kansas City;St. Joseph;Waverly","otherGeospatial":"Lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.04,35.85 ], [ -114.04,49.72 ], [ -89.01,49.72 ], [ -89.01,35.85 ], [ -114.04,35.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4acae4b0b290850effd2","contributors":{"authors":[{"text":"Armstrong, Daniel J. armstron@usgs.gov","contributorId":3823,"corporation":false,"usgs":true,"family":"Armstrong","given":"Daniel J.","email":"armstron@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norman, Richard D. rnorman@usgs.gov","contributorId":4086,"corporation":false,"usgs":true,"family":"Norman","given":"Richard","email":"rnorman@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":488040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}