Digital flood-inundation maps for an approximate 8-mile reach of the West Branch Susquehanna River from approximately 2 miles downstream from the Borough of Lewisburg, extending upstream to approximately 1 mile upstream from the Borough of Milton, Pennsylvania, were created by the U.S. Geological Survey (USGS) in cooperation with the Susquehanna River Basin Commission (SRBC). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict the estimated areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 01553500, West Branch Susquehanna River at Lewisburg, Pa. In addition, the information has been provided to the Susquehanna River Basin Commission (SRBC) for incorporation into their Susquehanna Inundation Map Viewer (SIMV) flood warning system (http://maps.srbc.net/simv/). The National Weather Service (NWS) forecasted peak-stage information (http://water.weather.gov/ahps) for USGS streamgage 01553500, West Branch Susquehanna River at Lewisburg, Pa., may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.
\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. Calibration of the model was achieved using the most current stage-discharge relations (rating number 11.1) at USGS streamgage 01553500, West Branch Susquehanna River at Lewisburg, Pa., a documented water-surface profile from the December 2, 2010, flood, and recorded peak stage data. The hydraulic model was then used to determine 26 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum ranging from 14 feet (ft) to 39 ft. Modeled flood stages, as defined by NWS, include Action Stage, 14 ft; Flood Stage, 18 ft; Moderate Flood Stage, 23 ft; and Major Flood Stage, 28 ft. Geographic information system (GIS) technology was then used to combine the simulated water-surface profiles with a digital elevation model (DEM) derived from light detection and ranging (lidar) data to delineate the area flooded at each water level.
\nThe availability of these maps, along with World Wide Web information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145094","collaboration":"Prepared in cooperation with the Susquehanna River Basin Commission","usgsCitation":"Roland, M.A., and Hoffman, S.A., 2014, Flood-inundation maps for the West Branch Susquehanna River near the Boroughs of Lewisburg and Milton, Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2014-5094, Report: v, 13 p.; Downloads Directory, https://doi.org/10.3133/sir20145094.","productDescription":"Report: v, 13 p.; Downloads Directory","numberOfPages":"23","onlineOnly":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-049552","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":291915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145094.jpg"},{"id":291912,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5094/"},{"id":291913,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5094/pdf/sir2014-5094.pdf"},{"id":291914,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5094/downloads"}],"scale":"100000","datum":"North American Datum of 1983","country":"United States","state":"Pennsylvania","otherGeospatial":"Lewisburg;Milton;Susquehanna River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.9,40.95 ], [ -76.9,41.05 ], [ -76.85,41.05 ], [ -76.85,40.95 ], [ -76.9,40.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5d630e4b0b6c2798a65cf","contributors":{"authors":[{"text":"Roland, Mark A. 0000-0002-0268-6507 mroland@usgs.gov","orcid":"https://orcid.org/0000-0002-0268-6507","contributorId":2116,"corporation":false,"usgs":true,"family":"Roland","given":"Mark","email":"mroland@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Scott A. shoffman@usgs.gov","contributorId":2634,"corporation":false,"usgs":true,"family":"Hoffman","given":"Scott","email":"shoffman@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70119733,"text":"70119733 - 2014 - Pink spot, white spot: the pineal skylight of the leatherback turtle (Dermochelys coriacea Vandelli 1761) skull and its possible role in the phenology of feeding migrations","interactions":[],"lastModifiedDate":"2018-02-23T14:51:36","indexId":"70119733","displayToPublicDate":"2014-08-08T12:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Pink spot, white spot: the pineal skylight of the leatherback turtle (Dermochelys coriacea Vandelli 1761) skull and its possible role in the phenology of feeding migrations","docAbstract":"Leatherback turtles, Dermochelys coriacea, which have an irregular pink area on the crown of the head known as the pineal or ‘pink spot’, forage upon jellyfish in cool temperate waters along the western and eastern margins of the North Atlantic during the summer. Our study showed that the skeletal structures underlying the pink spot in juvenile and adult turtles are compatible with the idea of a pineal dosimeter function that would support recognition of environmental light stimuli. We interrogated an extensive turtle sightings database to elucidate the phenology of leatherback foraging during summer months around Great Britain and Ireland and compared the sightings with historical data for sea surface temperatures and day lengths to assess whether sea surface temperature or light periodicity/levels were likely abiotic triggers prompting foraging turtles to turn south and leave their feeding grounds at the end of the summer. We found that sea temperature was too variable and slow changing in the study area to be useful as a trigger and suggest that shortening of day lengths as the late summer equilux is approached provides a credible phenological cue, acting via the pineal, for leatherbacks to leave their foraging areas whether they are feeding close to Nova Scotia or Great Britain and Ireland.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Experimental Marine Biology and Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2014.07.008","usgsCitation":"Davenport, J., Jones, T., Work, T.M., and Balazs, G.H., 2014, Pink spot, white spot: the pineal skylight of the leatherback turtle (Dermochelys coriacea Vandelli 1761) skull and its possible role in the phenology of feeding migrations: Journal of Experimental Marine Biology and Ecology, v. 461, p. 1-6, https://doi.org/10.1016/j.jembe.2014.07.008.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057870","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":291907,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jembe.2014.07.008"},{"id":291910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"461","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5d630e4b0b6c2798a65dc","contributors":{"authors":[{"text":"Davenport, John","contributorId":68643,"corporation":false,"usgs":true,"family":"Davenport","given":"John","email":"","affiliations":[],"preferred":false,"id":497777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, T. Todd","contributorId":61334,"corporation":false,"usgs":true,"family":"Jones","given":"T. Todd","affiliations":[],"preferred":false,"id":497776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":497775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balazs, George H.","contributorId":88195,"corporation":false,"usgs":true,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":497778,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115925,"text":"sir20145125 - 2014 - A precipitation-runoff model for simulating natural streamflow conditions in the Smith River watershed, Montana, water years 1996-2008","interactions":[],"lastModifiedDate":"2014-08-08T12:44:08","indexId":"sir20145125","displayToPublicDate":"2014-08-08T11:55:00","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":"2014-5125","title":"A precipitation-runoff model for simulating natural streamflow conditions in the Smith River watershed, Montana, water years 1996-2008","docAbstract":"This report documents the construction of a precipitation-runoff model for simulating natural streamflow in the Smith River watershed, Montana. This Precipitation-Runoff Modeling System model, constructed in cooperation with the Meagher County Conservation District, can be used to examine the general hydrologic framework of the Smith River watershed, including quantification of precipitation, evapotranspiration, and streamflow; partitioning of streamflow between surface runoff and subsurface flow; and quantifying contributions to streamflow from several parts of the watershed.
\nThe model was constructed by using spatial datasets describing watershed topography, the streams, and the hydrologic characteristics of the basin soils and vegetation. Time-series data (daily total precipitation, and daily minimum and maximum temperature) were input to the model to simulate daily streamflow. The model was calibrated for water years 2002–2007 and evaluated for water years 1996–2001. Though water year 2008 was included in the study period to evaluate water-budget components, calibration and evaluation data were unavailable for that year. During the calibration and evaluation periods, simulated-natural flow values were compared to reconstructed-natural streamflow data. These reconstructed-natural streamflow data were calculated by adding Bureau of Reclamation’s depletions data to the observed streamflows. Reconstructed-natural streamflows represent estimates of streamflows for water years 1996–2007 assuming there was no agricultural water-resources development in the watershed. Additional calibration targets were basin mean monthly solar radiation and potential evapotranspiration.
\nThe model estimated the hydrologic processes in the Smith River watershed during the calibration and evaluation periods. Simulated-natural mean annual and mean monthly flows generally were the same or higher than the reconstructed-natural streamflow values during the calibration period, whereas they were lower during the evaluation period. The shape of the annual hydrographs for the simulated-natural daily streamflow values matched the shape of the hydrographs for the reconstructed-natural values for most of the calibration period, but daily streamflow values were underestimated during the evaluation period for water years 1996–1998.
\nThe model enabled a detailed evaluation of the components of the water budget within the Smith River watershed during the water year 1996–2008 study period. During this study period, simulated mean annual precipitation across the Smith River watershed was 16 inches, out of which 14 inches evaporated or transpired and 2 inches left the basin as streamflow. Per the precipitation-runoff model simulations, during most of the year, surface runoff rarely (less than 2 percent of the time during water years 2002–2008) makes up more than 10 percent of the total streamflow. Subsurface flow (the combination of interflow and groundwater flow) makes up most of the total streamflow (99 or more percent of total streamflow for 71 percent of the time during water years 2002–2008).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145125","collaboration":"Prepared in cooperation with the Meagher County Conservation District","usgsCitation":"Chase, K.J., Caldwell, R.R., and Stanley, A.K., 2014, A precipitation-runoff model for simulating natural streamflow conditions in the Smith River watershed, Montana, water years 1996-2008: U.S. Geological Survey Scientific Investigations Report 2014-5125, vi, 29 p., https://doi.org/10.3133/sir20145125.","productDescription":"vi, 29 p.","numberOfPages":"40","onlineOnly":"Y","temporalStart":"1995-10-01","temporalEnd":"2008-09-30","ipdsId":"IP-055228","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":291909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145125.jpg"},{"id":291908,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5125/pdf/sir2014-5125.pdf"},{"id":291906,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5125/"}],"projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Montana","otherGeospatial":"Smith River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,46.25 ], [ -112.0,47.5 ], [ -110.5,47.5 ], [ -110.5,46.25 ], [ -112.0,46.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5d62ee4b0b6c2798a65b1","contributors":{"authors":[{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":495698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":495699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Andrea K.","contributorId":61353,"corporation":false,"usgs":true,"family":"Stanley","given":"Andrea","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495700,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70116917,"text":"fs20143061 - 2014 - Summary of hydrologic conditions in Kansas, 2013 water year","interactions":[],"lastModifiedDate":"2014-08-08T11:42:36","indexId":"fs20143061","displayToPublicDate":"2014-08-08T11:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3061","title":"Summary of hydrologic conditions in Kansas, 2013 water year","docAbstract":"The U.S. Geological Survey (USGS) Kansas Water Science Center (KSWSC), in cooperation with local, State, and other Federal agencies, maintains a long-term network of hydrologic monitoring gages in the State of Kansas. These include 195 real-time streamflow-gaging stations (herein gages) and 12 real-time reservoir-level monitoring stations. These data and associated analysis, accumulated for many years, provide a unique overview of hydrologic conditions and help improve our understanding of our water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143061","usgsCitation":"Peters, A.J., and Rasmussen, T.J., 2014, Summary of hydrologic conditions in Kansas, 2013 water year: U.S. Geological Survey Fact Sheet 2014-3061, 6 p., https://doi.org/10.3133/fs20143061.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","temporalStart":"2012-10-01","temporalEnd":"2013-09-30","ipdsId":"IP-055523","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":291905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143061.jpg"},{"id":291903,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3061/"},{"id":291904,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3061/pdf/fs2014-3061.pdf"}],"country":"United States","state":"Kansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0518,36.993 ], [ -102.0518,40.0045 ], [ -94.5884,40.0045 ], [ -94.5884,36.993 ], [ -102.0518,36.993 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5d630e4b0b6c2798a65e4","contributors":{"authors":[{"text":"Peters, Arin J. ajpeters@usgs.gov","contributorId":5862,"corporation":false,"usgs":true,"family":"Peters","given":"Arin","email":"ajpeters@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":495894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":495893,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70116228,"text":"ofr20141139 - 2014 - Land processes distributed active archive center product lifecycle plan","interactions":[],"lastModifiedDate":"2014-08-21T09:43:16","indexId":"ofr20141139","displayToPublicDate":"2014-08-08T08:53:00","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":"2014-1139","title":"Land processes distributed active archive center product lifecycle plan","docAbstract":"The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center and the National Aeronautics and Space Administration (NASA) Earth Science Data System Program worked together to establish, develop, and operate the Land Processes (LP) Distributed Active Archive Center (DAAC) to provide stewardship for NASA’s land processes science data. These data are critical science assets that serve the land processes science community with potential value beyond any immediate research use, and therefore need to be accounted for and properly managed throughout their lifecycle. A fundamental LP DAAC objective is to enable permanent preservation of these data and information products. The LP DAAC accomplishes this by bridging data producers and permanent archival resources while providing intermediate archive services for data and information products.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141139","usgsCitation":"Daucsavage, J., and Bennett, S.D., 2014, Land processes distributed active archive center product lifecycle plan: U.S. Geological Survey Open-File Report 2014-1139, vi, 20 p., https://doi.org/10.3133/ofr20141139.","productDescription":"vi, 20 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-055812","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":292737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141139.jpg"},{"id":291876,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1139/"},{"id":291883,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1139/pdf/ofr2014-1139.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5d630e4b0b6c2798a65d6","contributors":{"authors":[{"text":"Daucsavage, John C.","contributorId":64577,"corporation":false,"usgs":true,"family":"Daucsavage","given":"John C.","affiliations":[],"preferred":false,"id":495727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Stacie D.","contributorId":29323,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":495726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70111236,"text":"sim3302 - 2014 - California State Waters Map Series: Offshore of Coal Oil Point, California","interactions":[],"lastModifiedDate":"2022-04-18T18:54:40.14922","indexId":"sim3302","displayToPublicDate":"2014-08-08T08:21:00","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":"3302","title":"California State Waters Map Series: Offshore of Coal Oil Point, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.
\nThe Offshore of Coal Oil Point map area lies within the central Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and geodetic studies indicate that the region is presently undergoing north-south shortening. Uplift rates (as much as 2.0 mm/yr) that are based on studies of onland marine terraces provide further evidence of significant shortening.
\nThe cities of Goleta and Isla Vista, the main population centers in the map area, are in the western part of a contiguous urban area that extends eastward through Santa Barbara to Carpinteria. This urban area is on the south flank of the east-west-trending Santa Ynez Mountains, on coalescing alluvial fans and uplifted marine terraces underlain by folded and faulted Miocene bedrock. In the map area, the relatively low-relief, elevated coastal bajada narrows from about 2.5 km wide in the east to less than 500 m wide in the west. Several beaches line the actively utilized coastal zone, including Isla Vista County Park beach, Coal Oil Point Reserve, and Goleta Beach County Park. The beaches are subject to erosion each winter during storm-wave attack, and then they undergo gradual recovery or accretion during the more gentle wave climate of the late spring, summer, and fall months.
\nThe Offshore of Coal Oil Point map area lies in the central part of the Santa Barbara littoral cell, which is characterized by littoral drift to the east-southeast. Longshore drift rates have been reported to range from about 160,000 to 800,000 tons/yr, averaging 400,000 tons/yr. Sediment supply to the western and central parts of the littoral cell, including the map area, is largely from relatively small transverse coastal watersheds. Within the map area, these coastal watersheds include (from east to west) Las Llagas Canyon, Gato Canyon, Las Varas Canyon, Dos Pueblos Canyon, Eagle Canyon, Tecolote Canyon, Winchester Canyon, Ellwood Canyon, Glen Annie Canyon, and San Jose Creek. The Santa Ynez and Santa Maria Rivers, the mouths of which are about 100 to 140 km northwest of the map area, are not significant sediment sources because Point Conception and Point Arguello provide obstacles to downcoast sediment transport and also because much of their sediment load is trapped in dams. The Ventura and Santa Clara Rivers, the mouths of which are about 45 to 55 km southeast of the map area, are much larger sediment sources. Still farther east, eastward-moving sediment in the littoral cell is trapped by Hueneme and Mugu Canyons and then transported to the deep-water Santa Monica Basin.
\nThe offshore part of the map area consists of a relatively flat and shallow continental shelf, which dips gently seaward (about 0.8° to 1.0°) so that water depths at the shelf break, roughly coincident with the California’s State Waters limit, are about 90 m. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. The shelf is underlain by variable amounts of upper Quaternary marine and fluvial sediments deposited as sea level fluctuated in the late Pleistocene.
\nThe large (130 km2) Goleta landslide complex lies along the shelf break in the southern part of the map area. This compound slump complex may have been initiated more than 200,000 years ago, but it also includes three recent failures that may have been generated between 8,000 to 10,000 years ago. A local, 5- to 10-m-high tsunami may have been generated from these failure events.
\nThe map area has had a long history of hydrocarbon development, which began in 1928 with discovery of the Ellwood oil field. Subsequent discoveries in the offshore include South Ellwood offshore oil field, Coal Oil Point oil field, and Naples oil and gas field. Development of South Ellwood offshore field began in 1966 from platform “Holly,” the last platform to be installed in California’s State Waters. The area also is known for “the world’s most spectacular marine hydrocarbon seeps,” and large tar seeps are exposed on beaches east of the mouth of Goleta Slough. Offshore seeps adjacent to South Ellwood oil field release about 40 tons per day of methane and about 19 tons per day of ethane, propane, butane, and higher hydrocarbons.
\nSeafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Coal Oil Point map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats, which lie primarily within the Shelf (continental shelf) but also partly within the Flank (basin flank or continental slope) megahabitats, range from soft, unconsolidated sediment to hard sedimentary bedrock. This heterogeneous seafloor provides promising habitat for rockfish, groundfish, crabs, shrimp, and other marine benthic organisms.
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2014 - Technical review of managed underground storage of water study of the upper Catherine Creek watershed, Union County, northeastern Oregon","interactions":[],"lastModifiedDate":"2014-08-08T12:33:24","indexId":"ofr20141164","displayToPublicDate":"2014-08-07T16:35:00","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":"2014-1164","title":"Technical review of managed underground storage of water study of the upper Catherine Creek watershed, Union County, northeastern Oregon","docAbstract":"Because of water diversions during summer, flow in Catherine Creek, a tributary to the Grande Ronde River in northeastern Oregon, is insufficient to sustain several aquatic species for which the stream is listed as critical habitat. A feasibility study for managed underground storage (MUS) in the upper Catherine Creek watershed in Union County, Oregon, was undertaken by Anderson Perry and Associates, Inc., to address the issue of low flows in summer. The results of the study were released as a report titled “Upper Catherine Creek Storage Feasibility Study for Grande Ronde Model Watershed,” which evaluated the possibility of diverting Catherine Creek streamflow during winter (when stream discharge is high), storing the water by infiltration or injection into an aquifer adjacent to the stream, and discharging the water back to the stream in summer to augment low flows. The method of MUS would be accomplished using either (1) aquifer storage and recovery (ASR) that allows for the injection of water that meets drinking-water-quality standards into an aquifer for later recovery and use, or (2) artificial recharge (AR) that involves the intentional addition of water diverted from another source to a groundwater reservoir.
\nConcerns by resource managers that the actions taken to improve water availability for upper Catherine Creek be effective, cost-efficient, long-term, and based on sound analysis led the National Fish and Wildlife Foundation to request that the U.S. Geological Survey conduct an independent review and evaluation of the feasibility study. This report contains the results of that review.
\nThe primary objectives of the Anderson Perry and Associates study reviewed here included (1) identifying potentially fatal flaws with the concept of using AR and (or) ASR to augment the streamflow of Catherine Creek, (2) identifying potentially favorable locations for augmenting streamflow, (3) developing and evaluating alternatives for implementing AR and (or) ASR, and (4) identifying next steps and estimated costs for implementation. The Anderson Perry study was not intended as a comprehensive evaluation of feasibility, but, rather, an effort to develop a concept and preliminary evaluation of feasibility. Additionally, the feasibility study was limited to using existing data from which additional data needs were to be identified. The feasibility study mostly accomplished the goals of identifying potential fatal flaws and developing a project implementation plan. However, a more practical discussion of conclusions regarding the feasibility, likelihood for success, achievement of goals, and overall project costs could have received greater emphasis and would be of value to decision makers. With regard to objective (2), the subject report analyzed information from several possible sites examined for an MUS system. Sufficient cause is provided in the subject report to identify the basalt aquifer in the Milk Creek sub-area as having the greatest potential for MUS. Therefore, this review is primarily focused on the Milk Creek sub-area and the basalt aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141164","collaboration":"Prepared in cooperation with the National Fish and Wildlife Foundation","usgsCitation":"Snyder, D.T., 2014, Technical review of managed underground storage of water study of the upper Catherine Creek watershed, Union County, northeastern Oregon: U.S. Geological Survey Open-File Report 2014-1164, iv, 38 p., https://doi.org/10.3133/ofr20141164.","productDescription":"iv, 38 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-049469","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":291874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":291872,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1164/"},{"id":291873,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1164/pdf/ofr2014-1164.pdf"}],"country":"United States","state":"Oregon","county":"Union County","otherGeospatial":"Upper Catherine Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.00,45.125 ], [ -118.00,45.375 ], [ -117.625,45.375 ], [ -117.625,45.125 ], [ -118.00,45.125 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f097e4b0bc0bec09f855","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":497340,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70114985,"text":"ds867 - 2014 - Characterization of selected bed-sediment-bound organic and inorganic contaminants and toxicity, Barnegat Bay and major tributaries, New Jersey, 2012","interactions":[],"lastModifiedDate":"2014-08-07T16:11:35","indexId":"ds867","displayToPublicDate":"2014-08-07T15:43:00","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":"867","title":"Characterization of selected bed-sediment-bound organic and inorganic contaminants and toxicity, Barnegat Bay and major tributaries, New Jersey, 2012","docAbstract":"A study of bed-sediment toxicity and organic and inorganic contaminants was conducted by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). Bed-sediment samples were collected once from 22 sites in Barnegat Bay and selected major tributaries during August–September 2012 and analyzed for toxicity and a suite of organic and inorganic contaminants by the USGS and the U.S. Army Corps of Engineers. Sampling sites were selected to coincide with an existing water-quality monitoring network used by the NJDEP and others in order to evaluate water-quality conditions in Barnegat Bay and the surrounding watershed. Two of the 22 sites are reference sites and are within or adjacent to the study area; bed-sediment samples from reference sites allow for comparisons of results for the Barnegat Bay watershed to results from less affected settings within the region. Toxicity testing was conducted by exposing the estuarine amphipod Leptocheirus plumulosus and the freshwater amphipod Hyalella azteca to sediments for 28 days, and the percent survival, difference in biomass, and individual dry weights were measured. Reproductive effects also were evaluated for estuarine samples. Bed-sediment samples from four sites within Barnegat Bay were subjected to a toxicity identification evaluation to determine probable causes of toxicity. Samples were analyzed for a suite of 94 currently-used pesticides, 21 legacy pesticides, 24 trace elements, 40 polycyclic aromatic hydrocarbons, 7 polychlorinated biphenyls (PCBs) as Arochlor mixtures, and 145 individual PCB congeners. Concentrations of detected compounds were compared to sediment-quality guidelines, where appropriate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds867","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Romanok, K., Reilly, T.J., Lopez, A.R., Trainor, J.J., Hladik, M., Stanley, J.K., and Farrar, D., 2014, Characterization of selected bed-sediment-bound organic and inorganic contaminants and toxicity, Barnegat Bay and major tributaries, New Jersey, 2012: U.S. Geological Survey Data Series 867, Report: x, 51 p.; Appendix 1, https://doi.org/10.3133/ds867.","productDescription":"Report: x, 51 p.; Appendix 1","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-08-01","temporalEnd":"2012-09-30","ipdsId":"IP-051089","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":291867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds867.jpg"},{"id":291865,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0867/pdf/ds867.pdf"},{"id":291866,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0867/pdf/ds867-appendix1.pdf"},{"id":291864,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0867/"}],"datum":"North American Datum of 1983","country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.833333,39.333333 ], [ -74.833333,40.25 ], [ -74.0,40.25 ], [ -74.0,39.333333 ], [ -74.833333,39.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e484b2e4b0fff4042801c1","contributors":{"authors":[{"text":"Romanok, Kristin M.","contributorId":6523,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[],"preferred":false,"id":495457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez, Anthony R.","contributorId":21471,"corporation":false,"usgs":true,"family":"Lopez","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":495458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trainor, John J. 0000-0002-6603-2684 jtrainor@usgs.gov","orcid":"https://orcid.org/0000-0002-6603-2684","contributorId":5408,"corporation":false,"usgs":true,"family":"Trainor","given":"John","email":"jtrainor@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanley, Jacob K.","contributorId":96590,"corporation":false,"usgs":true,"family":"Stanley","given":"Jacob","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farrar, Daniel","contributorId":21871,"corporation":false,"usgs":true,"family":"Farrar","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":495459,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70117567,"text":"ofr20141156 - 2014 - Karst in the United States: A digital map compilation and database","interactions":[],"lastModifiedDate":"2020-03-27T06:28:59","indexId":"ofr20141156","displayToPublicDate":"2014-08-07T10:26:00","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":"2014-1156","title":"Karst in the United States: A digital map compilation and database","docAbstract":"This report describes new digital maps delineating areas of the United States, including Puerto Rico and the U.S. Virgin Islands, having karst or the potential for development of karst and pseudokarst. These maps show areas underlain by soluble rocks and also by volcanic rocks, sedimentary deposits, and permafrost that have potential for karst or pseudokarst development. All 50 States contain rocks with potential for karst development, and about 18 percent of their area is underlain by soluble rocks having karst or the potential for development of karst features. The areas of soluble rocks shown are based primarily on selection from State geologic maps of rock units containing significant amounts of carbonate or evaporite minerals. Areas underlain by soluble rocks are further classified by general climate setting, degree of induration, and degree of exposure. Areas having potential for volcanic pseudokarst are those underlain chiefly by basaltic-flow rocks no older than Miocene in age. Areas with potential for pseudokarst features in sedimentary rocks are in relatively unconsolidated rocks from which pseudokarst features, such as piping caves, have been reported. Areas having potential for development of thermokarst features, mapped exclusively in Alaska, contain permafrost in relatively thick surficial deposits containing ground ice. This report includes a GIS database with links from the map unit polygons to online geologic unit descriptions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141156","usgsCitation":"Weary, D.J., and Doctor, D.H., 2014, Karst in the United States: A digital map compilation and database: U.S. Geological Survey Open-File Report 2014-1156, Report: iv, 23 p.; 6 Figures; Downloads Directory, https://doi.org/10.3133/ofr20141156.","productDescription":"Report: iv, 23 p.; 6 Figures; Downloads Directory","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-052217","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":291826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141156.jpg"},{"id":373540,"rank":11,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2014/1156/downloads/README.txt","linkFileType":{"id":2,"text":"txt"}},{"id":291823,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1156/"},{"id":291825,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":291824,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1156/downloads","text":"Downloads Directory"},{"id":373534,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_1.pdf","text":"Figure 1","linkFileType":{"id":1,"text":"pdf"}},{"id":373535,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_2.pdf","text":"Figure 2","linkFileType":{"id":1,"text":"pdf"}},{"id":373539,"rank":10,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_6.pdf","text":"Figure 6","linkFileType":{"id":1,"text":"pdf"}},{"id":373536,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_3.pdf","text":"Figure 3","linkFileType":{"id":1,"text":"pdf"}},{"id":373537,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_4.pdf","text":"Figure 4","linkFileType":{"id":1,"text":"pdf"}},{"id":373538,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2014/1156/pdf/of2014-1156_hi-res-pdfs/of2014-1156_figure_5.pdf","text":"Figure 5","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e484b6e4b0fff4042801c5","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":496021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":496022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118860,"text":"ofr20141162 - 2014 - Preliminary simulation of chloride transport in the Equus Beds aquifer and simulated effects of well pumping and artificial recharge on groundwater flow and chloride transport near the city of Wichita, Kansas, 1990 through 2008","interactions":[],"lastModifiedDate":"2014-08-07T10:26:26","indexId":"ofr20141162","displayToPublicDate":"2014-08-07T10:18:00","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":"2014-1162","title":"Preliminary simulation of chloride transport in the Equus Beds aquifer and simulated effects of well pumping and artificial recharge on groundwater flow and chloride transport near the city of Wichita, Kansas, 1990 through 2008","docAbstract":"The Equus Beds aquifer in south-central Kansas is a primary water-supply source for the city of Wichita. Water-level declines because of groundwater pumping for municipal and irrigation needs as well as sporadic drought conditions have caused concern about the adequacy of the Equus Beds aquifer as a future water supply for Wichita. In March 2006, the city of Wichita began construction of the Equus Beds Aquifer Storage and Recovery project, a plan to artificially recharge the aquifer with excess water from the Little Arkansas River. Artificial recharge will raise groundwater levels, increase storage volume in the aquifer, and deter or slow down a plume of chloride brine approaching the Wichita well field from the Burrton, Kansas area caused by oil production activities in the 1930s. Another source of high chloride water to the aquifer is the Arkansas River. This study was prepared in cooperation with the city of Wichita as part of the Equus Beds Aquifer Storage and Recovery project.
\nChloride transport in the Equus Beds aquifer was simulated between the Arkansas and Little Arkansas Rivers near the Wichita well field. Chloride transport was simulated for the Equus Beds aquifer using SEAWAT, a computer program that combines the groundwater-flow model MODFLOW-2000 and the solute-transport model MT3DMS. The chloride-transport model was used to simulate the period from 1990 through 2008 and the effects of five well pumping scenarios and one artificial recharge scenario. The chloride distribution in the aquifer for the beginning of 1990 was interpolated from groundwater samples from around that time, and the chloride concentrations in rivers for the study period were interpolated from surface water samples.
\nFive well-pumping scenarios and one artificial-recharge scenario were assessed for their effects on simulated chloride transport and water levels in and around the Wichita well field. The scenarios were: (1) existing 1990 through 2008 pumping conditions, to serve as a baseline scenario for comparison with the hypothetical scenarios; (2) no pumping in the model area, to demonstrate the chloride movement without the influence of well pumping; (3) double municipal pumping from the Wichita well field with existing irrigation pumping; (4) existing municipal pumping with no irrigation pumping in the model area; (5) double municipal pumping in the Wichita well field and no irrigation pumping in the model area; and (6) increasing artificial recharge to the Phase 1 Artificial Storage and Recovery project sites by 2,300 acre-feet per year.
\nThe effects of the hypothetical pumping and artificial recharge scenarios on simulated chloride transport were measured by comparing the rate of movement of the 250-milligrams-per-liter-chloride front for each hypothetical scenario with the baseline scenario at the Arkansas River area near the southern part of the Wichita well field and the Burrton plume area. The scenarios that increased the rate of movement the most compared to the baseline scenario of existing pumping between the Arkansas River and the southern boundary of the well field were those that doubled the city of Wichita’s pumping from the well field (scenarios 3 and 5), increasing the rate of movement by 50 to 150 feet per year, with the highest rate increases in the shallow layer and the lowest rate increases in the deepest layer. The no pumping and no irrigation pumping scenarios (2 and 4) slowed the rate of movement in this area by 150 to 210 feet per year and 40 to 70 feet per year, respectively. In the double Wichita pumping scenario (3), the rate of movement in the shallow layer of the Burrton area decreased by about 50 feet per year. Simulated chloride rate of movement in the deeper layers of the Burrton area was decreased in the no pumping and no irrigation scenarios (2 and 4) by 80 to 120 feet per year and 50 feet per year, respectively, and increased in the scenarios that double Wichita’s pumping (3 and 5) from the well field by zero to 130 feet per year, with the largest increases in the deepest layer. In the increased Phase 1 artificial recharge scenario (6), the rate of chloride movement in the Burrton area increased in the shallow layer by about 30 feet per year, and decreased in the middle and deepest layer by about 10 and 60 feet per year, respectively. Comparisons of the rate of movement of the simulated 250-milligrams-per-liter-chloride front in the hypothetical scenarios to the baseline scenario indicated that, in general, increases to pumping in the well field area increased the rate of simulated chloride movement toward the well field area by as much as 150 feet per year. Reductions in pumping slowed the advance of chloride toward the well field by as much as 210 feet per year, although reductions did not stop the movement of chloride toward the well field, including when pumping rates were eliminated. If pumping is completely discontinued, the rate of chloride movement is about 500 to 600 feet per year in the area between the Arkansas River and the southern part of the Wichita well field, and 70 to 500 feet per year in the area near Burrton with the highest rate of movement in the shallow aquifer layer.
\nThe averages of simulated water-levels in index monitoring wells in the Wichita well field at the end of 2008 were calculated for each scenario. Compared to the baseline scenario, the average simulated water level was 5.05 feet higher for the no pumping scenario, 4.72 feet lower for the double Wichita pumping with existing irrigation scenario, 2.49 feet higher for the no irrigation pumping with existing Wichita pumping scenario, 1.53 feet lower for the double Wichita pumping with no irrigation scenario, and 0.48 feet higher for the increased Phase 1 artificial recharge scenario.
\nThe groundwater flow was simulated with a preexisting groundwater-flow model, which was not altered to calibrate the solute-transport model to observed chloride-concentration data. Therefore, some areas in the model had poor fit between simulated chloride concentrations and observed chloride concentrations, including the area between Arkansas River and the southern part of the Wichita well field, and the Hollow-Nikkel area about 6 miles north of Burrton. Compared to the interpreted location of the 250-milligrams per liter-chloride front based on data collected in 2011, in the Arkansas River area the simulated 250-milligrams per liter-chloride front moved from the river toward the well field about twice the rate of the actual 250-milligrams per liter-chloride front in the shallow layer and about four times the rate of the actual 250-milligrams per liter-chloride front in the deep layer. Future groundwater-flow and chloride-transport modeling efforts may achieve better agreement between observed and simulated chloride concentrations in these areas by taking the chloride-transport model fit into account when adjusting parameters such as hydraulic conductivity, riverbed conductance, and effective porosity during calibration.
\nResults of the hypothetical scenarios simulated indicate that the Burrton chloride plume will continue moving toward the well field regardless of pumping in the area and that one alternative may be to increase pumping from within the plume area to reverse the groundwater-flow gradients and remove the plume. Additionally, the results of modeling these scenarios indicate that eastward movement of the Burrton plume could be slowed by the additional artificial recharge at the Phase 1 sites and that decreasing pumping along the Arkansas River or increasing water levels could retard the movement of chloride and may prevent further encroachment into the southern part of the well field area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141162","collaboration":"In cooperation with the City of Wichita","usgsCitation":"Klager, B.J., Kelly, B.P., and Ziegler, A., 2014, Preliminary simulation of chloride transport in the Equus Beds aquifer and simulated effects of well pumping and artificial recharge on groundwater flow and chloride transport near the city of Wichita, Kansas, 1990 through 2008: U.S. Geological Survey Open-File Report 2014-1162, Report: viii, 76 p.; Appendix 1, https://doi.org/10.3133/ofr20141162.","productDescription":"Report: viii, 76 p.; Appendix 1","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1990-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-052749","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":291822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141162.jpg"},{"id":291821,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1162/downloads/"},{"id":291819,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1162/pdf/ofr2014-1162.pdf"},{"id":291804,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1162/"}],"projection":"Universal Transverse Mercator projection, Zone 14","datum":"North American Datum of 1983","country":"United States","state":"Kansas","city":"Wichita","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.333333,37.633333 ], [ -98.333333,38.5 ], [ -97.0,38.5 ], [ -97.0,37.633333 ], [ -98.333333,37.633333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e484b6e4b0fff4042801cd","contributors":{"authors":[{"text":"Klager, Brian J. 0000-0001-8361-6043 bklager@usgs.gov","orcid":"https://orcid.org/0000-0001-8361-6043","contributorId":5543,"corporation":false,"usgs":true,"family":"Klager","given":"Brian","email":"bklager@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":497338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":497337,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70116610,"text":"ofr20141148 - 2014 - Updated estimates of long-term average dissolved-solids loading in streams and rivers of the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2016-04-12T15:44:04","indexId":"ofr20141148","displayToPublicDate":"2014-08-06T12:02:00","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":"2014-1148","title":"Updated estimates of long-term average dissolved-solids loading in streams and rivers of the Upper Colorado River Basin","docAbstract":"The Colorado River and its tributaries supply water to more than 35 million people in the United States and 3 million people in Mexico, irrigating over 4.5 million acres of farmland, and annually generating about 12 billion kilowatt hours of hydroelectric power. The Upper Colorado River Basin, part of the Colorado River Basin, encompasses more than 110,000 mi2 and is the source of much of more than 9 million tons of dissolved solids that annually flows past the Hoover Dam. High dissolved-solids concentrations in the river are the cause of substantial economic damages to users, primarily in reduced agricultural crop yields and corrosion, with damages estimated to be greater than 300 million dollars annually. In 1974, the Colorado River Basin Salinity Control Act created the Colorado River Basin Salinity Control Program to investigate and implement a broad range of salinity control measures. A 2009 study by the U.S. Geological Survey, supported by the Salinity Control Program, used the Spatially Referenced Regressions on Watershed Attributes surface-water quality model to examine dissolved-solids supply and transport within the Upper Colorado River Basin. Dissolved-solids loads developed for 218 monitoring sites were used to calibrate the 2009 Upper Colorado River Basin Spatially Referenced Regressions on Watershed Attributes dissolved-solids model. This study updates and develops new dissolved-solids loading estimates for 323 Upper Colorado River Basin monitoring sites using streamflow and dissolved-solids concentration data through 2012, to support a planned Spatially Referenced Regressions on Watershed Attributes modeling effort that will investigate the contributions to dissolved-solids loads from irrigation and rangeland practices.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141148","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Tillman, F., and Anning, D.W., 2014, Updated estimates of long-term average dissolved-solids loading in streams and rivers of the Upper Colorado River Basin: U.S. Geological Survey Open-File Report 2014-1148, Report: v, 10 p.; Appendixes 1-2, https://doi.org/10.3133/ofr20141148.","productDescription":"Report: v, 10 p.; Appendixes 1-2","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051915","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":291789,"type":{"id":15,"text":"Index 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Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70110586,"text":"sim3300 - 2014 - An expanded model: flood-inundation maps for the Leaf River at Hattiesburg, Mississippi, 2013","interactions":[],"lastModifiedDate":"2014-08-08T14:12:01","indexId":"sim3300","displayToPublicDate":"2014-08-06T11:21:00","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":"3300","title":"An expanded model: flood-inundation maps for the Leaf River at Hattiesburg, Mississippi, 2013","docAbstract":"Digital flood-inundation maps for a 6.8-mile reach of the Leaf River at Hattiesburg, Mississippi (Miss.), were created by the U.S. Geological Survey (USGS) in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Leaf River at Hattiesburg, Miss. (station no. 02473000). Current conditions for estimating near-real-time areas of inundation by use of USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.
\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relations at the Leaf River at Hattiesburg, Miss. streamgage (02473000) and documented high-water marks from recent and historical floods. The hydraulic model was then used to determine 13 water-surface profiles for flood stages at 1.0-foot intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system (GIS) digital elevation model (DEM, derived from light detection and ranging (lidar) data having a 0.6-foot vertical and 9.84-foot horizontal resolution) in order to delineate the area flooded at each water level.
\nDevelopment of the estimated flood inundation maps as described in this report update previously published inundation estimates by including reaches of the Bouie and Leaf Rivers above their confluence. The availability of these maps along with Internet information regarding current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3300","collaboration":"Prepared in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District and Prepared in collaboration with the National Weather Service","usgsCitation":"Storm, J.B., 2014, An expanded model: flood-inundation maps for the Leaf River at Hattiesburg, Mississippi, 2013: U.S. Geological Survey Scientific Investigations Map 3300, Report: vi, 8 p.; 13 Plates: 18.00 x 22.83 inches; Downloads Directory, https://doi.org/10.3133/sim3300.","productDescription":"Report: vi, 8 p.; 13 Plates: 18.00 x 22.83 inches; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045674","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":291773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3300.jpg"},{"id":291775,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet11.pdf"},{"id":291774,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet1.pdf"},{"id":291779,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet2.pdf"},{"id":291780,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet3.pdf"},{"id":291781,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet4.pdf"},{"id":291782,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet5.pdf"},{"id":291776,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet10.pdf"},{"id":291777,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet12.pdf"},{"id":291778,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet13.pdf"},{"id":291783,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet6.pdf"},{"id":291784,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet7.pdf"},{"id":291785,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet9.pdf"},{"id":291786,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet8.pdf"},{"id":291770,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3300/"},{"id":291771,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3300/pdf/sim3300_pamphlet.pdf"},{"id":291772,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3300/downloads"}],"projection":"Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Mississippi","city":"Hattiesburg","otherGeospatial":"Leaf River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.314293,31.295882 ], [ -89.314293,31.363778 ], [ -89.243122,31.363778 ], [ -89.243122,31.295882 ], [ -89.314293,31.295882 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e3332ee4b0567f276f7cf8","contributors":{"authors":[{"text":"Storm, John B. 0000-0002-5657-536X jbstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-5657-536X","contributorId":3684,"corporation":false,"usgs":true,"family":"Storm","given":"John","email":"jbstorm@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494070,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70112364,"text":"sir20105090R - 2014 - Sandstone copper assessment of the Teniz Basin, Kazakhstan","interactions":[{"subject":{"id":70112364,"text":"sir20105090R - 2014 - Sandstone copper assessment of the Teniz Basin, Kazakhstan","indexId":"sir20105090R","publicationYear":"2014","noYear":false,"chapter":"R","title":"Sandstone copper assessment of the Teniz Basin, Kazakhstan"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2020-07-01T19:58:33.657374","indexId":"sir20105090R","displayToPublicDate":"2014-08-06T09:16:00","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":"2010-5090","chapter":"R","title":"Sandstone copper assessment of the Teniz Basin, Kazakhstan","docAbstract":"The U.S. Geological Survey (USGS) conducts national and global resource assessments (mineral, energy, water, and biological) to provide data and scientific analyses to support decision making. Three-part mineral resource assessments result in informed, unbiased, quantitative, and probabilistic estimates of undiscovered mineral resources and deposits. In particular, mineral assessment results inform decisions concerning land-use and mineral-resource development. A probabilistic mineral resource assessment of the sandstone subtype of sediment-hosted stratabound copper deposits in the Teniz Basin, Kazakhstan, was undertaken by the USGS.
\nThe Teniz Basin is located in Akmola Oblast, central and western Kazakhstan. With an areal extent of almost 78,000 km2, the basin contains many sediment-hosted stratabound copper prospects, none of which are well described, and the majority of which may belong to the sandstone subtype of sediment-hosted copper deposits. There are no known locations within the Teniz Basin currently mined for copper. Within the basin, however, map units permissive for the sandstone subtype of sediment-hosted stratabound copper deposits include (from oldest to youngest): the Middle Carboniferous Kiery Suite; the Middle to Upper Carboniferous Vladimirov Suite (a stratigraphic equivalent of the Dzhezkazgan Suite, Chu-Sarysu Basin); and the Upper Carboniferous or lowest Permian Kayraktin Suite. The multicolored sedimentary rocks of the Vladimirov Suite, in which 14 potentially ore-bearing horizons of gray beds have been recorded, have the greatest potential for undiscovered, sandstone subtype, sediment-hosted stratabound copper deposits.
\nA quantitative mineral resource assessment has been completed that (1) delineates one 49,714 km2 tract permissive for undiscovered, sandstone subtype, sediment-hosted stratabound copper deposits, and (2) provides probabilistic estimates of numbers of undiscovered deposits and probable amounts of copper resource contained in those deposits. The permissive tract delineated in this assessment encompasses no previously known sandstone subtype, sediment-hosted stratabound copper deposits. However, this assessment estimates (with 30 percent probability) that a mean of nine undiscovered sandstone subtype copper deposits may be present in the Teniz Basin and could contain a mean total of 8.9 million metric tons of copper and 7,500 metric tons of silver.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090R","usgsCitation":"Cossette, P.M., Bookstrom, A.A., Hayes, T.S., Robinson, G.R., Wallis, J., and Zientek, M.L., 2014, Sandstone copper assessment of the Teniz Basin, Kazakhstan: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: vi, 42 p.; Tabloid Figure 3; GIS package, https://doi.org/10.3133/sir20105090R.","productDescription":"Report: vi, 42 p.; Tabloid Figure 3; GIS package","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050799","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":291755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090r.jpg"},{"id":291754,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/downloads/sir2010-5090R_GIS.zip","text":"GIS package","size":"824 KB","linkFileType":{"id":6,"text":"zip"},"description":"GIS package"},{"id":291753,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/pdf/sir2010-5090R_fig3.pdf","text":"Tabloid Figure 3","size":"615 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Tabloid Figure 3"},{"id":291752,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/pdf/sir2010-5090R.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":291745,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/"}],"projection":"Asia North Albers Equal Area Projection","country":"Kazakhstan","otherGeospatial":"Teniz Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 65.0,42.0 ], [ 65.0,53.0 ], [ 80.0,53.0 ], [ 80.0,42.0 ], [ 65.0,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e33331e4b0567f276f7cfc","contributors":{"authors":[{"text":"Cossette, Pamela M. 0000-0002-9608-6595 pcossette@usgs.gov","orcid":"https://orcid.org/0000-0002-9608-6595","contributorId":1458,"corporation":false,"usgs":true,"family":"Cossette","given":"Pamela","email":"pcossette@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bookstrom, Arthur A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":494718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Gilpin R. Jr. grobinso@usgs.gov","contributorId":3083,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":494721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallis, John C.","contributorId":45755,"corporation":false,"usgs":true,"family":"Wallis","given":"John C.","affiliations":[],"preferred":false,"id":494722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494720,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70103394,"text":"ds844 - 2014 - Land cover trends dataset, 1973-2000","interactions":[],"lastModifiedDate":"2017-03-29T12:37:51","indexId":"ds844","displayToPublicDate":"2014-08-06T08:44:00","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":"844","title":"Land cover trends dataset, 1973-2000","docAbstract":"The U.S. Geological Survey Land Cover Trends Project is releasing a 1973–2000 time-series land-use/land-cover dataset for the conterminous United States. The dataset contains 5 dates of land-use/land-cover data for 2,688 sample blocks randomly selected within 84 ecological regions. The nominal dates of the land-use/land-cover maps are 1973, 1980, 1986, 1992, and 2000. The land-use/land-cover maps were classified manually from Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper Plus imagery using a modified Anderson Level I classification scheme. The resulting land-use/land-cover data has a 60-meter resolution and the projection is set to Albers Equal-Area Conic, North American Datum of 1983. The files are labeled using a standard file naming convention that contains the number of the ecoregion, sample block, and Landsat year. The downloadable files are organized by ecoregion, and are available in the ERDAS IMAGINETM (.img) raster file format.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds844","usgsCitation":"Soulard, C.E., Acevedo, W., Auch, R.F., Sohl, T.L., Drummond, M.A., Sleeter, B.M., Sorenson, D.G., Kambly, S., Wilson, T.S., Taylor, J., Sayler, K., Stier, M.P., Barnes, C., Methven, S.C., Loveland, T., Headley, R., and Brooks, M.S., 2014, Land cover trends dataset, 1973-2000: U.S. Geological Survey Data Series 844, Report: v, 10 p.; National data, https://doi.org/10.3133/ds844.","productDescription":"Report: v, 10 p.; National data","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049832","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":438748,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DJ5CNT","text":"USGS data 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mbrooks@usgs.gov","contributorId":5296,"corporation":false,"usgs":true,"family":"Brooks","given":"Mark","email":"mbrooks@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":493301,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70104555,"text":"70104555 - 2014 - Simulating soil-water movement through loess-veneered landscapes using nonconsilient saturated hydraulic conductivity measurements","interactions":[],"lastModifiedDate":"2015-01-27T11:46:22","indexId":"70104555","displayToPublicDate":"2014-08-06T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Simulating soil-water movement through loess-veneered landscapes using nonconsilient saturated hydraulic conductivity measurements","docAbstract":"Soil Survey Geographic Database (SSURGO) data are available for the entire United States, so are incorporated in many regional and national models of hydrology and environmental management. However, SSURGO does not provide an understanding of spatial variability and only includes saturated hydraulic conductivity (Ksat) values estimated from particle size analysis (PSA). This study showed model sensitivity to the substitution of SSURGO data with locally described soil properties or alternate methods of measuring Ksat. Incorporation of these different soil data sets significantly changed the results of hydrologic modeling as a consequence of the amount of space available to store soil water and how this soil water is moved downslope. Locally described soil profiles indicated a difference in Ksat when measured in the field vs. being estimated from PSA. This, in turn, caused a difference in which soil layers were incorporated in the hydrologic simulations using TOPMODEL, ultimately affecting how soil water storage was simulated. Simulations of free-flowing soil water, the amount of water traveling through pores too large to retain water against gravity, were compared with field observations of water in wells at five slope positions along a catena. Comparison of the simulated data with the observed data showed that the ability to model the range of conditions observed in the field varied as a function of three soil data sets (SSURGO and local field descriptions using PSA-derived Ksat or field-measured Ksat) and that comparison of absolute values of soil water storage are not valid if different characterizations of soil properties are used.
","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2014.01.0045","usgsCitation":"Williamson, T., Lee, B.D., Schoeneberger, P.J., McCauley, W.M., Indorante, S.J., and Owens, P.R., 2014, Simulating soil-water movement through loess-veneered landscapes using nonconsilient saturated hydraulic conductivity measurements: Soil Science Society of America Journal, v. 78, no. 4, p. 1320-1331, https://doi.org/10.2136/sssaj2014.01.0045.","productDescription":"12 p.","startPage":"1320","endPage":"1331","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051268","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":297589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-08-06","publicationStatus":"PW","scienceBaseUri":"54dd2c58e4b08de9379b373e","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":518851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Brad D.","contributorId":138937,"corporation":false,"usgs":false,"family":"Lee","given":"Brad","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":539372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoeneberger, Philip J.","contributorId":138938,"corporation":false,"usgs":false,"family":"Schoeneberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[{"id":6688,"text":"National Soil Survey Center, Natural Resources Conservation Service – United States Department of Agriculture. 100 Centennial Mall North, Lincoln, NE 68508, USA","active":true,"usgs":false}],"preferred":false,"id":539373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCauley, W. M.","contributorId":138939,"corporation":false,"usgs":false,"family":"McCauley","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":539374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Indorante, Samuel J.","contributorId":138940,"corporation":false,"usgs":false,"family":"Indorante","given":"Samuel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":539375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owens, Phillip R.","contributorId":119740,"corporation":false,"usgs":false,"family":"Owens","given":"Phillip","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":518854,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70100418,"text":"fs20143029 - 2014 - Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T12:19:58","indexId":"fs20143029","displayToPublicDate":"2014-08-05T16:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3029","title":"Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas","docAbstract":"The Edwards-Trinity aquifer, a major aquifer in the Pecos County region of western Texas, is a vital groundwater resource for agricultural, industrial, and public supply uses. Resource managers would like to better understand the future availability of water in the Edwards-Trinity aquifer in the Pecos County region and the effects of the possible increase or temporal redistribution of groundwater withdrawals. To that end, the U.S. Geological Survey (USGS), in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1, completed a comprehensive, integrated analysis of available hydrogeologic data to develop a groundwater-flow model of the Edwards-Trinity and related aquifers in parts of Brewster, Jeff Davis, Pecos, and Reeves Counties. Following calibration, the model was used to evaluate the sustainability of recent (2008) and projected water-use demands on groundwater resources in the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143029","collaboration":"Prepared in cooperation with Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1","usgsCitation":"Thomas, J.V., 2014, Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas: U.S. Geological Survey Fact Sheet 2014-3029, 6 p., https://doi.org/10.3133/fs20143029.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054256","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":291744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143029.jpg"},{"id":291742,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3029/pdf/fs2014-3029.pdf"},{"id":291743,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3029/"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Pecos County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.50,30.25 ], [ -104.50,31.50 ], [ -101.50,31.50 ], [ -101.50,30.25 ], [ -104.50,30.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1b5e4b0fe532be24a97","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492194,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70099988,"text":"fs20143025 - 2014 - A multiphased approach to groundwater investigations for the Edwards-Trinity and related aquifers in the Pecos County region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T12:21:45","indexId":"fs20143025","displayToPublicDate":"2014-08-05T16:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3025","title":"A multiphased approach to groundwater investigations for the Edwards-Trinity and related aquifers in the Pecos County region, Texas","docAbstract":"The Edwards-Trinity aquifer is a vital groundwater resource for agricultural, industrial, and public supply uses in the Pecos County region of western Texas. Resource managers would like to understand the future availability of water in the Edwards-Trinity aquifer in the Pecos County region and the effects of the possible increase or temporal redistribution of groundwater withdrawals. To provide resource managers with that information, the U.S. Geological Survey (USGS), in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1, completed a three-phase study of the Edwards-Trinity and related aquifers in parts of Brewster, Jeff Davis, Pecos, and Reeves Counties. The first phase was to collect groundwater, surface-water, geochemical, geophysical, and geologic data in the study area and develop a geodatabase of historical and collected data. Data compiled in the first phase of the study were used to develop the conceptual model in the second phase of the study. The third phase of the study involved the development and calibration of a numerical groundwater-flow model of the Edwards-Trinity aquifer to simulate groundwater conditions based on various groundwater-withdrawal scenarios. Analysis of well, geophysical, geochemical, and hydrologic data contributed to the development of the conceptual model in phase 1. Lithologic information obtained from well reports and geophysical data was used to describe the hydrostratigraphy and structural features of the groundwater-flow system, and aquifer-test data were used to estimate aquifer hydraulic properties. Geochemical data were used to evaluate groundwater-flow paths, water-rock interaction, aquifer interaction, and the mixing of water from different sources in phase 2. Groundwater-level data also were used to evaluate aquifer interaction, as well as to develop a potentiometric-surface map, delineate regional groundwater divides, and describe regional groundwater-flow paths. During phase 3, the data collected and compiled along with the conceptual information in the study area were incorporated into a numerical groundwater-flow model to evaluate the sustainability of recent (2008) and projected water-use demands on groundwater resources in the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143025","collaboration":"Prepared in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1","usgsCitation":"Thomas, J.V., 2014, A multiphased approach to groundwater investigations for the Edwards-Trinity and related aquifers in the Pecos County region, Texas: U.S. Geological Survey Fact Sheet 2014-3025, 6 p., https://doi.org/10.3133/fs20143025.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054855","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":291741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143025.jpg"},{"id":291739,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3025/"},{"id":291740,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3025/pdf/fs2014-3025.pdf"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Pecos County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.00,30.25 ], [ -104.00,31.50 ], [ -102.00,31.50 ], [ -102.00,30.25 ], [ -104.00,30.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1aee4b0fe532be24a4e","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492101,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70119249,"text":"70119249 - 2014 - Density-stratified flow events in Great Salt Lake, Utah, USA: implications for mercury and salinity cycling","interactions":[],"lastModifiedDate":"2018-09-14T16:03:01","indexId":"70119249","displayToPublicDate":"2014-08-05T14:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Density-stratified flow events in Great Salt Lake, Utah, USA: implications for mercury and salinity cycling","docAbstract":"Density stratification in saline and hypersaline water bodies from throughout the world can have large impacts on the internal cycling and loading of salinity, nutrients, and trace elements. High temporal resolution hydroacoustic and physical/chemical data were collected at two sites in Great Salt Lake (GSL), a saline lake in the western USA, to understand how density stratification may influence salinity and mercury (Hg) distributions. The first study site was in a causeway breach where saline water from GSL exchanges with less saline water from a flow restricted bay. Near-surface-specific conductance values measured in water at the breach displayed a good relationship with both flow and wind direction. No diurnal variations in the concentration of dissolved (<0.45 μm) methylmercury (MeHg) were observed during the 24-h sampling period; however, the highest proportion of particulate Hgtotal and MeHg loadings was observed during periods of elevated salinity. The second study site was located on the bottom of GSL where movement of a high-salinity water layer, referred to as the deep brine layer (DBL), is restricted to a naturally occurring 1.5-km-wide “spillway” structure. During selected time periods in April/May, 2012, wind-induced flow reversals in a railroad causeway breach, separating Gunnison and Gilbert Bays, were coupled with high-velocity flow pulses (up to 55 cm/s) in the DBL at the spillway site. These flow pulses were likely driven by a pressure response of highly saline water from Gunnison Bay flowing into the north basin of Gilbert Bay. Short-term flow reversal events measured at the railroad causeway breach have the ability to move measurable amounts of salt and Hg from Gunnison Bay into the DBL. Future disturbance to the steady state conditions currently imposed by the railroad causeway infrastructure could result in changes to the existing chemical balance between Gunnison and Gilbert Bays. Monitoring instruments were installed at six additional sites in the DBL during October 2012 to assess impacts from any future modifications to the railroad causeway.","language":"English","publisher":"Springer","doi":"10.1007/s10498-014-9237-8","usgsCitation":"Naftz, D.L., Carling, G.T., Angeroth, C., Freeman, M., Rowland, R., and Pazmino, E., 2014, Density-stratified flow events in Great Salt Lake, Utah, USA: implications for mercury and salinity cycling: Aquatic Geochemistry, v. 20, no. 6, p. 547-571, https://doi.org/10.1007/s10498-014-9237-8.","productDescription":"25 p.","startPage":"547","endPage":"571","ipdsId":"IP-042028","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":291724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291721,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10498-014-9237-8"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.9012,40.6237 ], [ -112.9012,41.299 ], [ -111.8002,41.299 ], [ -111.8002,40.6237 ], [ -112.9012,40.6237 ] ] ] } } ] }","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-07-26","publicationStatus":"PW","scienceBaseUri":"53e1e1b3e4b0fe532be24a70","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carling, Gregory T.","contributorId":11964,"corporation":false,"usgs":true,"family":"Carling","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeroth, Cory","contributorId":75070,"corporation":false,"usgs":true,"family":"Angeroth","given":"Cory","affiliations":[],"preferred":false,"id":497626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Michael","contributorId":51222,"corporation":false,"usgs":true,"family":"Freeman","given":"Michael","affiliations":[],"preferred":false,"id":497624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowland, Ryan","contributorId":43685,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","affiliations":[],"preferred":false,"id":497623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pazmino, Eddy","contributorId":62531,"corporation":false,"usgs":true,"family":"Pazmino","given":"Eddy","email":"","affiliations":[],"preferred":false,"id":497625,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70111856,"text":"ofr20141111 - 2014 - Report of the River Master of the Delaware River for the period December 1, 2007-November 30, 2008","interactions":[],"lastModifiedDate":"2014-08-05T12:55:00","indexId":"ofr20141111","displayToPublicDate":"2014-08-05T12:43:00","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":"2014-1111","title":"Report of the River Master of the Delaware River for the period December 1, 2007-November 30, 2008","docAbstract":"A Decree of the Supreme Court of the United States, entered June 7, 1954, established the position of Delaware River Master within the U.S. Geological Survey (USGS). In addition, the Decree authorizes diversions of water from the Delaware River Basin and requires compensating releases from certain reservoirs, owned by New York City, to be made under the supervision and direction of the River Master. The Decree stipulates that the River Master will furnish reports to the Court, not less frequently than annually. This report is the 55th Annual Report of the River Master of the Delaware River. It covers the 2008 River Master report year, the period from December 1, 2007, to November 30, 2008.
\nDuring the report year, precipitation in the upper Delaware River Basin was 49.79 inches (in.) or 114 percent of the 67 report-year average. Combined storage in Pepacton, Cannonsville, and Neversink Reservoirs remained high from December 2007 to May 2008. Reservoir storage decreased seasonally from June to late October, then increased gradually through the end of November. Delaware River operations during the year were conducted as stipulated by the Decree.
\nDiversions from the Delaware River Basin by New York City and New Jersey were in full compliance with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 107 days during the report year. Releases were made at conservation rates—rates designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs—on all other days.
\nDuring the report year, New York City and New Jersey complied fully with the terms of the Decree, and directives and requests of the River Master.
\nAs part of a long-term program, the quality of water in the Delaware Estuary between Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at various locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites. Data on water temperature and specific conductance were collected intermittently at one site. In addition, selected water-quality data were collected at 19 sites on a twice-monthly basis and at 3 sites on a monthly basis.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141111","usgsCitation":"Krejmas, B.E., Paulachok, G.N., and Blanchard, S.F., 2014, Report of the River Master of the Delaware River for the period December 1, 2007-November 30, 2008: U.S. Geological Survey Open-File Report 2014-1111, vi, 78 p., https://doi.org/10.3133/ofr20141111.","productDescription":"vi, 78 p.","numberOfPages":"88","onlineOnly":"N","temporalStart":"2007-12-01","temporalEnd":"2008-11-30","ipdsId":"IP-053666","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":291694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141111.jpg"},{"id":291692,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1111/"},{"id":291693,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1111/pdf/of2014-1111.pdf"}],"country":"United States","state":"Delaware;New Jersey;New York;Pennsylvania","city":"New York City","otherGeospatial":"Delaware River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,39.75 ], [ -76.5,42.5 ], [ -74.0,42.5 ], [ -74.0,39.75 ], [ -76.5,39.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1b5e4b0fe532be24a92","contributors":{"authors":[{"text":"Krejmas, Bruce E.","contributorId":102501,"corporation":false,"usgs":true,"family":"Krejmas","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":494485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paulachok, Gary N. gnpaulac@usgs.gov","contributorId":3500,"corporation":false,"usgs":true,"family":"Paulachok","given":"Gary","email":"gnpaulac@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":true,"id":494483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Stephen F.","contributorId":54966,"corporation":false,"usgs":true,"family":"Blanchard","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":494484,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70119135,"text":"70119135 - 2014 - Autonomous bed-sediment imaging-systems for revealing temporal variability of grain size","interactions":[],"lastModifiedDate":"2014-08-05T11:53:44","indexId":"70119135","displayToPublicDate":"2014-08-05T11:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"Autonomous bed-sediment imaging-systems for revealing temporal variability of grain size","docAbstract":"We describe a remotely operated video microscope system, designed to provide high-resolution images of seabed sediments. Two versions were developed, which differ in how they raise the camera from the seabed. The first used hydraulics and the second used the energy associated with wave orbital motion. Images were analyzed using automated frequency-domain methods, which following a rigorous partially supervised quality control procedure, yielded estimates to within 20% of the true size as determined by on-screen manual measurements of grains. Long-term grain-size variability at a sandy inner shelf site offshore of Santa Cruz, California, USA, was investigated using the hydraulic system. Eighteen months of high frequency (min to h), high-resolution (μm) images were collected, and grain size distributions compiled. The data constitutes the longest known high-frequency record of seabed-grain size at this sample frequency, at any location. Short-term grain-size variability of sand in an energetic surf zone at Praa Sands, Cornwall, UK was investigated using the ‘wave-powered’ system. The data are the first high-frequency record of grain size at a single location of a highly mobile and evolving bed in a natural surf zone. Using this technology, it is now possible to measure bed-sediment-grain size at a time-scale comparable with flow conditions. Results suggest models of sediment transport at sandy, wave-dominated, nearshore locations should allow for substantial changes in grain-size distribution over time-scales as short as a few hours.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnology and Oceanography: Methods","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Limnology and Oceanography","publisherLocation":"Waco, TX","doi":"10.4319/lom.2014.12.390","usgsCitation":"Buscombe, D., Rubin, D.M., Lacy, J.R., Storlazzi, C., Hatcher, G., Chezar, H., Wyland, R., and Sherwood, C.R., 2014, Autonomous bed-sediment imaging-systems for revealing temporal variability of grain size: Limnology and Oceanography: Methods, v. 12, p. 390-406, https://doi.org/10.4319/lom.2014.12.390.","productDescription":"17 p.","startPage":"390","endPage":"406","numberOfPages":"17","ipdsId":"IP-045183","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":291683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291617,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4319/lom.2014.12.390"}],"country":"United Kingdom;United States","state":"California","county":"Cornwall","city":"Praa Sands;Santa Cruz","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.033333,36.933333 ], [ -122.033333,50.111704 ], [ -5.369593,50.111704 ], [ -5.369593,36.933333 ], [ -122.033333,36.933333 ] ] ] } } ] }","volume":"12","noUsgsAuthors":false,"publicationDate":"2014-06-24","publicationStatus":"PW","scienceBaseUri":"53e1e1b0e4b0fe532be24a55","contributors":{"authors":[{"text":"Buscombe, Daniel","contributorId":99414,"corporation":false,"usgs":true,"family":"Buscombe","given":"Daniel","affiliations":[],"preferred":false,"id":497587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":497586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatcher, Gerald","contributorId":10346,"corporation":false,"usgs":true,"family":"Hatcher","given":"Gerald","email":"","affiliations":[],"preferred":false,"id":497585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chezar, Henry hchezar@usgs.gov","contributorId":2964,"corporation":false,"usgs":true,"family":"Chezar","given":"Henry","email":"hchezar@usgs.gov","affiliations":[],"preferred":true,"id":497582,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wyland, Robert","contributorId":99485,"corporation":false,"usgs":true,"family":"Wyland","given":"Robert","email":"","affiliations":[],"preferred":false,"id":497588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497581,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70110608,"text":"ds854 - 2014 - A comprehensive list and photographic collection of the vascular flora of Caddo Lake National Wildlife Refuge, Texas, March 2011-March 2012","interactions":[],"lastModifiedDate":"2014-08-04T10:02:27","indexId":"ds854","displayToPublicDate":"2014-08-04T09:51:00","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":"854","title":"A comprehensive list and photographic collection of the vascular flora of Caddo Lake National Wildlife Refuge, Texas, March 2011-March 2012","docAbstract":"A floristics inventory was conducted to identify and photograph the vascular plants occurring at Caddo Lake National Wildlife Refuge (NWR), Texas, from March 2011 to March 2012 by the U.S. Geological Survey in cooperation with the U.S. Fish and Wildlife Service. This research resulted in the identification of 511 taxa of vascular plants representing 111 families and 317 genera. Despite the degree of development of the refuge at the time it was transferred to the U.S. Fish and Wildlife Service, plant diversity was high. Of the 511 species identified in this study, 346 species are new records for Harrison County, and 3 species are new discoveries for Texas. Caddo Lake NWR is primarily forested with 55 tree species and 35 shrub species identified in this study. Of the species identified, 289 are associated with wetlands having a wetland classification of facultative or wetter, possibly reflecting the proximity of Caddo Lake to the refuge and the three streams that intersect the refuge. Sixty-two of the species found on the refuge are introduced. Chinese tallow tree (Triadica sebifera) is one of the more common invasive tree species on the refuge and is actively controlled by refuge staff. Chinese privet (Ligustrum sinense), sacred bamboo (Nandina domestica), and King’s Ranch bluestem (Bothriochloa ischaemum var. songarica) are present on the refuge and have the potential to become invasive. More than 10,000 photographs were taken of the plants found on the refuge in an effort to document general appearance and capture diagnostic characters of each plant species. Photographs were also taken of many of the animals and landscapes encountered during the project. Select images of each of the plants and animals are included in the collection of more than 1,600 photographs (all photographs by Larry Allain).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds854","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Allain, L., 2014, A comprehensive list and photographic collection of the vascular flora of Caddo Lake National Wildlife Refuge, Texas, March 2011-March 2012: U.S. Geological Survey Data Series 854, Report: iv, 41 p.; Photograph collection, https://doi.org/10.3133/ds854.","productDescription":"Report: iv, 41 p.; Photograph collection","numberOfPages":"49","onlineOnly":"Y","temporalStart":"2011-03-01","temporalEnd":"2012-03-01","ipdsId":"IP-042560","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":291570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds854.jpg"},{"id":291567,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/854/pdf/ds854.pdf"},{"id":291569,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/854/Photograph_collection/"},{"id":291566,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/854/"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Caddo Lake National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.5,32.5 ], [ -94.5,33.0 ], [ -94.0,33.0 ], [ -94.0,32.5 ], [ -94.5,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e0902ee4b0beb42bdc0406","contributors":{"authors":[{"text":"Allain, Larry 0000-0002-7717-9761","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":63108,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","affiliations":[],"preferred":false,"id":494095,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70100259,"text":"70100259 - 2014 - Spatial extent and dissipation of the deep chlorophyll layer in Lake Ontario during the Lake Ontario lower foodweb assessment, 2003 and 2008","interactions":[],"lastModifiedDate":"2017-10-20T11:03:46","indexId":"70100259","displayToPublicDate":"2014-08-01T15:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial extent and dissipation of the deep chlorophyll layer in Lake Ontario during the Lake Ontario lower foodweb assessment, 2003 and 2008","docAbstract":"Increasing water clarity in Lake Ontario has led to a vertical redistribution of phytoplankton and an increased importance of the deep chlorophyll layer in overall primary productivity. We used in situ fluorometer profiles collected in lakewide surveys of Lake Ontario in 2008 to assess the spatial extent and intensity of the deep chlorophyll layer. In situ fluorometer data were corrected with extracted chlorophyll data using paired samples from Lake Ontario collected in August 2008. The deep chlorophyll layer was present offshore during the stratified conditions of late July 2008 with maximum values from 4-13 μg l-1 corrected chlorophyll a at 10 to 17 m depth within the metalimnion. Deep chlorophyll layer was closely associated with the base of the thermocline and a subsurface maximum of dissolved oxygen, indicating the feature's importance as a growth and productivity maximum. Crucial to the deep chlorophyll layer formation, the photic zone extended deeper than the surface mixed layer in mid-summer. The layer extended through most of the offshore in July 2008, but was not present in the easternmost transect that had a deeper surface mixed layer. By early September 2008, the lakewide deep chlorophyll layer had dissipated. A similar formation and dissipation was observed in the lakewide survey of Lake Ontario in 2003.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/14634988.2014.937316","usgsCitation":"Watkins, J., Weidel, B.M., Rudstam, L., and Holek, K.T., 2014, Spatial extent and dissipation of the deep chlorophyll layer in Lake Ontario during the Lake Ontario lower foodweb assessment, 2003 and 2008: Aquatic Ecosystem Health & Management, v. 18, no. 1, p. 18-27, https://doi.org/10.1080/14634988.2014.937316.","productDescription":"10 p.","startPage":"18","endPage":"27","ipdsId":"IP-050791","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":294944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.1956787109375,\n 44.16250418310723\n ],\n [\n -75.73974609375,\n 44.35920579433503\n ],\n [\n -75.6683349609375,\n 44.50042343601631\n ],\n [\n -75.7342529296875,\n 44.59046718130883\n ],\n [\n -76.0089111328125,\n 44.55916341529182\n ],\n [\n -76.26708984375,\n 44.36313311380771\n ],\n [\n -76.83837890625,\n 44.27273816279087\n ],\n [\n -77.135009765625,\n 44.22158376545796\n ],\n [\n -77.49755859375,\n 44.146739625584985\n ],\n [\n -77.8216552734375,\n 44.040218713142146\n ],\n [\n -78.409423828125,\n 43.957236472025635\n ],\n [\n -78.7664794921875,\n 43.92163712834673\n ],\n [\n -79.0576171875,\n 43.854335770789575\n ],\n [\n -79.376220703125,\n 43.76315996157264\n ],\n [\n -79.617919921875,\n 43.560491112629286\n ],\n [\n -79.9200439453125,\n 43.35713822211053\n ],\n [\n -79.991455078125,\n 43.205175817237304\n ],\n [\n -79.859619140625,\n 43.201171681272456\n ],\n [\n -79.5849609375,\n 43.15710884095329\n ],\n [\n -79.4036865234375,\n 43.1450861841603\n ],\n [\n -79.112548828125,\n 43.193162620926074\n ],\n [\n -78.8543701171875,\n 43.249203966977845\n ],\n [\n -78.607177734375,\n 43.297198404646366\n ],\n [\n -78.299560546875,\n 43.30919109985686\n ],\n [\n -78.046875,\n 43.30919109985686\n ],\n [\n -77.947998046875,\n 43.27320591705845\n ],\n [\n -77.706298828125,\n 43.23719944365308\n ],\n [\n -77.53051757812499,\n 43.18915769654922\n ],\n [\n -77.3162841796875,\n 43.213183300738876\n ],\n [\n -77.069091796875,\n 43.241201214257885\n ],\n [\n -76.9207763671875,\n 43.241201214257885\n ],\n [\n -76.6845703125,\n 43.30119623257966\n ],\n [\n -76.4373779296875,\n 43.44893105587766\n ],\n [\n -76.2451171875,\n 43.48481212891603\n ],\n [\n -76.09130859375,\n 43.54058479482877\n ],\n [\n -76.0693359375,\n 43.68773584519811\n ],\n [\n -76.1627197265625,\n 43.854335770789575\n ],\n [\n -76.025390625,\n 43.96119063892024\n ],\n [\n -76.014404296875,\n 44.09153051045218\n ],\n [\n -76.1956787109375,\n 44.16250418310723\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542fbaade4b092f17df61de9","contributors":{"authors":[{"text":"Watkins, J. 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This work improves upon previous derivations of intensity prediction equations by including additional intensity data, correcting magnitudes in the intensity datasets to moment magnitude, and accounting for the spatial and temporal population distributions. The new relation leads to moment magnitude estimates for the New Madrid earthquakes that are toward the lower range of previous studies. Depending on the intensity dataset to which the new macroseismic intensity prediction equation is applied, mean estimates for the 16 December 1811, 23 January 1812, and 7 February 1812 mainshocks, and 16 December 1811 dawn aftershock range from 6.9 to 7.1, 6.8 to 7.1, 7.3 to 7.6, and 6.3 to 6.5, respectively. One‐sigma uncertainties on any given estimate could be as high as 0.3–0.4 magnitude units. We also estimate a magnitude of 6.9±0.3 for the 1886 Charleston, South Carolina, earthquake. We find a greater range of magnitude estimates when also accounting for multiple macroseismic intensity prediction equations. The inability to accurately and precisely ascertain magnitude from intensities increases the uncertainty of the central United States earthquake hazard by nearly a factor of two. Relative to the 2008 national seismic hazard maps, our range of possible 1811–1812 New Madrid earthquake magnitudes increases the coefficient of variation of seismic hazard estimates for Memphis, Tennessee, by 35%–42% for ground motions expected to be exceeded with a 2% probability in 50 years and by 27%–35% for ground motions expected to be exceeded with a 10% probability in 50 years.
","language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford, CA","doi":"10.1785/0120120352","usgsCitation":"Boyd, O.S., and Cramer, C.H., 2014, Estimating earthquake magnitudes from reported intensities in the central and eastern United States: Bulletin of the Seismological Society of America, v. 104, no. 4, p. 1709-1722, https://doi.org/10.1785/0120120352.","productDescription":"14 p.","startPage":"1709","endPage":"1722","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055669","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":306314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-15","publicationStatus":"PW","scienceBaseUri":"55c090ade4b033ef52104293","contributors":{"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":565106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cramer, Chris H.","contributorId":32196,"corporation":false,"usgs":true,"family":"Cramer","given":"Chris","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":565107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70123176,"text":"70123176 - 2014 - Synthesis of thirty years of surface water quality and aquatic biota data in Shenandoah National Park: Collaboration between the US Geological Survey and the National Park Service","interactions":[],"lastModifiedDate":"2017-03-27T13:57:08","indexId":"70123176","displayToPublicDate":"2014-08-01T11:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of thirty years of surface water quality and aquatic biota data in Shenandoah National Park: Collaboration between the US Geological Survey and the National Park Service","docAbstract":"The eastern United States has been the recipient of acidic atmospheric deposition (hereinafter, “acid rain”) for many decades. Deleterious effects of acid rain on natural resources have been well documented for surface water (e.g., Likens et al. 1996; Stoddard et al. 2001), soils (Bailey et al. 2005), forest health (Long et al. 2009), and habitat suitability for stream biota (Baker et al. 1993). Shenandoah National Park (SNP) is located in northern and central Virginia and consists of a long, narrow strip of land straddling the Blue Ridge Mountains (Figure 1). The park’s elevated topography and location downwind of the Ohio River valley, where many acidic emissions to the atmosphere are generated (NSTC 2005), have made it a target for acid rain. Characterizing the link between air quality and water quality as related to acid rain, contaminants, soil conditions, and forest health is a high priority for research and monitoring in SNP. The US Geological Survey (USGS) and SNP have had a long history of collaboration on documenting acid rain effects on the park’s natural resources, starting in 1985 and continuing to the present (Lynch and Dise 1985; Rice et al. 2001, 2004, 2005, 2007; Deviney et al. 2006, 2012; Jastram et al. 2013).","language":"English","publisher":"George Wright Society","issn":"0732-4715","usgsCitation":"Rice, K.C., Jastram, J.D., Wofford, J.E., and Schaberl, J.P., 2014, Synthesis of thirty years of surface water quality and aquatic biota data in Shenandoah National Park: Collaboration between the US Geological Survey and the National Park Service: The George Wright Forum, v. 31, no. 2, p. 198-204.","productDescription":"7 p.","startPage":"198","endPage":"204","ipdsId":"IP-055092","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":293454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295626,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/9643"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.20068359374999,\n 38.6275996886131\n ],\n [\n -78.1512451171875,\n 38.7283759182398\n ],\n [\n -78.12103271484375,\n 38.76693348394693\n ],\n [\n -78.1182861328125,\n 38.86109762182888\n ],\n [\n -78.19244384765625,\n 38.92522904714054\n ],\n [\n -78.25286865234375,\n 38.86965182408357\n ],\n [\n -78.24188232421875,\n 38.83756825896614\n ],\n [\n -78.30230712890624,\n 38.841846903808985\n ],\n [\n -78.3929443359375,\n 38.77121637244273\n ],\n [\n -78.4259033203125,\n 38.713375686254714\n ],\n [\n -78.3984375,\n 38.638327308061875\n ],\n [\n -78.4918212890625,\n 38.55031345037904\n ],\n [\n -78.5577392578125,\n 38.567495358827344\n ],\n [\n -78.59344482421875,\n 38.51378825951165\n ],\n [\n -78.55224609374999,\n 38.436379603\n ],\n [\n -78.607177734375,\n 38.41271038284709\n ],\n [\n -78.71429443359375,\n 38.33088431959971\n ],\n [\n -78.80218505859375,\n 38.272688535980976\n ],\n [\n -78.826904296875,\n 38.21012996629426\n ],\n [\n -78.82965087890625,\n 38.13239618602294\n ],\n [\n -78.82415771484375,\n 38.07404145941957\n ],\n [\n -78.70330810546875,\n 38.1237539824224\n ],\n [\n -78.695068359375,\n 38.201496974020806\n ],\n [\n -78.56597900390625,\n 38.28131307922966\n ],\n [\n -78.45611572265625,\n 38.34381037525605\n ],\n [\n -78.37921142578125,\n 38.371808917147554\n ],\n [\n -78.3544921875,\n 38.44498466889473\n ],\n [\n -78.31054687499999,\n 38.50948995925553\n ],\n [\n -78.23638916015625,\n 38.55031345037904\n ],\n [\n -78.23638916015625,\n 38.59326051987162\n ],\n [\n -78.20068359374999,\n 38.6275996886131\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"540ace53e4b023c1f29d5913","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":499925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jastram, John D. 0000-0002-9416-3358 jdjastra@usgs.gov","orcid":"https://orcid.org/0000-0002-9416-3358","contributorId":3531,"corporation":false,"usgs":true,"family":"Jastram","given":"John","email":"jdjastra@usgs.gov","middleInitial":"D.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wofford, John E. 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Recent advances in the blending of com-plementary, remotely sensed data could provide public lands managers with the needed information.We applied the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) to five Landsat TMand concurrent Terra MODIS scenes, and used pixel-based regression and difference image analyses toevaluate the quality of synthetic reflectance and NDVI products associated with semi-arid rangeland. Pre-dicted red reflectance data consistently demonstrated higher accuracy, less bias, and stronger correlationwith observed data than did analogous near-infrared (NIR) data. The accuracy of both bands tended todecline as the lag between base and prediction dates increased; however, mean absolute errors (MAE)were typically ≤10%. The quality of area-wide NDVI estimates was less consistent than either spectra lband, although the MAE of estimates predicted using early season base pairs were ≤10% throughout the growing season. Correlation between known and predicted NDVI values and agreement with the 1:1regression line tended to decline as the prediction lag increased. Further analyses of NDVI predictions,based on a 22 June base pair and stratified by land cover/land use (LCLU), revealed accurate estimates through the growing season; however, inter-class performance varied. This work demonstrates the successful application of the STARFM algorithm to semi-arid rangeland; however, we encourage evaluation of STARFM’s performance on a per product basis, stratified by LCLU, with attention given to the influence of base pair selection and the impact of the time lag.
","language":"English","publisher":"Elsevier, Inc.","publisherLocation":"Amsterdam, Holland","doi":"10.1016/j.jag.2014.01.008","usgsCitation":"Olexa, E.M., and Lawrence, R.L., 2014, Performance and effects of land cover type on synthetic surface reflectance data and NDVI estimates for assessment and monitoring of semi-arid rangeland: International Journal of Applied Earth Observation and Geoinformation, v. 30, p. 30-41, https://doi.org/10.1016/j.jag.2014.01.008.","productDescription":"12 p.","startPage":"30","endPage":"41","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050870","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.87353515625,\n 41.4509614012039\n ],\n [\n -110.379638671875,\n 40.455307212131494\n ],\n [\n -109.302978515625,\n 42.439674178149424\n ],\n [\n -111.90673828125,\n 43.5326204268101\n ],\n [\n -112.87353515625,\n 41.4509614012039\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d635e4b04d4b7dbd662b","contributors":{"authors":[{"text":"Olexa, Edward M. 0000-0002-2000-6798 eolexa@usgs.gov","orcid":"https://orcid.org/0000-0002-2000-6798","contributorId":4448,"corporation":false,"usgs":true,"family":"Olexa","given":"Edward","email":"eolexa@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Rick L","contributorId":127018,"corporation":false,"usgs":false,"family":"Lawrence","given":"Rick","email":"","middleInitial":"L","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":522881,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}