{"pageNumber":"1622","pageRowStart":"40525","pageSize":"25","recordCount":184606,"records":[{"id":70039695,"text":"70039695 - 2012 - Effect of 17β-trenbolone on male and female reproduction in Japanese quail (Coturnix japonica)","interactions":[],"lastModifiedDate":"2012-08-28T01:01:57","indexId":"70039695","displayToPublicDate":"2012-08-22T14:02:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":946,"text":"Avian Biology Research","active":true,"publicationSubtype":{"id":10}},"title":"Effect of 17β-trenbolone on male and female reproduction in Japanese quail (Coturnix japonica)","docAbstract":"The anabolic steroid 17β trenbolone (17β-TB), a known endocrine disrupting chemical, may influence reproductive functions in avian wildlife. We evaluated the effects of dietary exposure to 17β-TB at 5 and 20 ppm on reproductive functional endpoints in Japanese quail during and after sexual maturation. In the male, 5 and 20 ppm treatments revealed no differences in body and testes weight, testes histology, plasma testosterone concentrations, or size and weight of the foam glands. However, the onset of foam production was significantly earlier (days of age) in the 20 ppm males. In females, dietary 17β-TB at 20 ppm caused a reduction in the number of maturing yellow yolk follicles and overall egg production. Plasma testosterone concentrations were reduced compared to controls. Histology of the oviductal sperm storage tubules was normal in all treatments. The number of sperm holes, sites on the perivitelline layer (PVL) where sperm bound and hydrolyzed a path through the PVL, was significantly greater in the 10th egg laid compared to the 1st egg laid in the 20 ppm treatment. Potential effects, albeit transient, on endpoints associated with male maturation warrant further investigation into the sensitivity of these measures in the event of embryonic and/or trans-generational exposure to 17β-TB.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Avian Biology Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science Reviews 2000 Ltd","publisherLocation":"London, U.K.","doi":"10.3184/175815512X13350167598421","usgsCitation":"Henry, P.F., Akuffo, V.G., Chen, Y., Karouna-Renier, N., Sprague, D.T., and Bakst, M.R., 2012, Effect of 17β-trenbolone on male and female reproduction in Japanese quail (Coturnix japonica): Avian Biology Research, v. 5, no. 2, p. 61-68, https://doi.org/10.3184/175815512X13350167598421.","productDescription":"8 p.","startPage":"61","endPage":"68","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259813,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259788,"rank":200,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3184/175815512X13350167598421","linkFileType":{"id":5,"text":"html"}}],"volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-01","publicationStatus":"PW","scienceBaseUri":"505a05b2e4b0c8380cd50eee","contributors":{"authors":[{"text":"Henry, Paula F.P.","contributorId":12311,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"","middleInitial":"F.P.","affiliations":[],"preferred":false,"id":466756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akuffo, Valorie G.","contributorId":21024,"corporation":false,"usgs":true,"family":"Akuffo","given":"Valorie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":466758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Yu","contributorId":77785,"corporation":false,"usgs":true,"family":"Chen","given":"Yu","email":"","affiliations":[],"preferred":false,"id":466761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie K. 0000-0001-7127-033X","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":17357,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":466757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sprague, Daniel T.","contributorId":43219,"corporation":false,"usgs":true,"family":"Sprague","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":466760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bakst, Murray R.","contributorId":38830,"corporation":false,"usgs":true,"family":"Bakst","given":"Murray","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466759,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039693,"text":"70039693 - 2012 - C<sub>3</sub> and C<sub>4</sub> biomass allocation responses to elevated CO<sub>2</sub> and nitrogen: contrasting resource capture strategies","interactions":[],"lastModifiedDate":"2012-08-24T01:02:05","indexId":"70039693","displayToPublicDate":"2012-08-22T13:46:56","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"C<sub>3</sub> and C<sub>4</sub> biomass allocation responses to elevated CO<sub>2</sub> and nitrogen: contrasting resource capture strategies","docAbstract":"Plants alter biomass allocation to optimize resource capture. Plant strategy for resource capture may have important implications in intertidal marshes, where soil nitrogen (N) levels and atmospheric carbon dioxide (CO<sub>2</sub>) are changing. We conducted a factorial manipulation of atmospheric CO<sub>2</sub> (ambient and ambient + 340 ppm) and soil N (ambient and ambient + 25 g m<sup>-2</sup> year<sup>-1</sup>) in an intertidal marsh composed of common North Atlantic C<sub>3</sub> and C<sub>4</sub> species. Estimation of C<sub>3</sub> stem turnover was used to adjust aboveground C<sub>3</sub> productivity, and fine root productivity was partitioned into C<sub>3</sub>-C<sub>4</sub> functional groups by isotopic analysis. The results suggest that the plants follow resource capture theory. The C<sub>3</sub> species increased aboveground productivity under the added N and elevated CO<sub>2</sub> treatment (<i>P</i> < 0.0001), but did not under either added N or elevated CO<sub>2</sub> alone. C<sub>3</sub> fine root production decreased with added N (<i>P</i> < 0.0001), but fine roots increased under elevated CO<sub>2</sub> (<i>P</i> = 0.0481). The C<sub>4</sub> species increased growth under high N availability both above- and belowground, but that stimulation was diminished under elevated CO<sub>2</sub>. The results suggest that the marsh vegetation allocates biomass according to resource capture at the individual plant level rather than for optimal ecosystem viability in regards to biomass influence over the processes that maintain soil surface elevation in equilibrium with sea level.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-012-9500-4","usgsCitation":"White, K., Langley, J., Cahoon, D.R., and Megonigal, J., 2012, C<sub>3</sub> and C<sub>4</sub> biomass allocation responses to elevated CO<sub>2</sub> and nitrogen: contrasting resource capture strategies: Estuaries and Coasts, v. 35, no. 4, p. 1028-1035, https://doi.org/10.1007/s12237-012-9500-4.","productDescription":"8 p.","startPage":"1028","endPage":"1035","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259792,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-012-9500-4","linkFileType":{"id":5,"text":"html"}}],"volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-05-01","publicationStatus":"PW","scienceBaseUri":"5059f2c2e4b0c8380cd4b347","contributors":{"authors":[{"text":"White, K.P.","contributorId":41692,"corporation":false,"usgs":true,"family":"White","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":466753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langley, J.A.","contributorId":89246,"corporation":false,"usgs":true,"family":"Langley","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":466755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":65424,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":466754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Megonigal, J.P.","contributorId":22545,"corporation":false,"usgs":true,"family":"Megonigal","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":466752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039677,"text":"sir20125114 - 2012 - Evaluating prediction uncertainty of areas contributing recharge to well fields of multiple water suppliers in the Hunt-Annaquatucket-Pettaquamscutt River Basins, Rhode Island","interactions":[],"lastModifiedDate":"2012-08-28T15:38:33","indexId":"sir20125114","displayToPublicDate":"2012-08-22T00:00:00","publicationYear":"2012","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":"2012-5114","title":"Evaluating prediction uncertainty of areas contributing recharge to well fields of multiple water suppliers in the Hunt-Annaquatucket-Pettaquamscutt River Basins, Rhode Island","docAbstract":"Three river basins in central Rhode Island-the Hunt River, the Annaquatucket River, and the Pettaquamscutt River-contain 15 production wells clustered in 4 pumping centers from which drinking water is withdrawn. These high-capacity production wells, operated by three water suppliers, are screened in coarse-grained deposits of glacial origin. The risk of contaminating water withdrawn by these well centers may be reduced if the areas contributing recharge to the well centers are delineated and these areas protected from land uses that may affect the water quality. The U.S. Geological Survey, in cooperation with the Rhode Island Department of Health, began an investigation in 2009 to improve the understanding of groundwater flow and delineate areas contributing recharge to the well centers as part of an effort to protect the source of water to these well centers. A groundwater-flow model was calibrated by inverse modeling using nonlinear regression to obtain the optimal set of parameter values, which provide a single, best representation of the area contributing recharge to a well center. Summary statistics from the calibrated model were used to evaluate the uncertainty associated with the predicted areas contributing recharge to the well centers. This uncertainty analysis was done so that the contributing areas to the well centers would not be underestimated, thereby leaving the well centers inadequately protected. The analysis led to contributing areas expressed as a probability distribution (probabilistic contributing areas) that differ from a single or deterministic contributing area. Groundwater flow was simulated in the surficial deposits and the underlying bedrock in the 47-square-mile study area. Observations (165 groundwater levels and 7 base flows) provided sufficient information to estimate parameters representing recharge and horizontal hydraulic conductivity of the glacial deposits and hydraulic conductance of streambeds. The calibrated value for recharge to valley-fill deposits was 27.3 inches per year (in/yr) and to upland till deposits was 18.7 in/yr. Calibrated values for horizontal hydraulic conductivity of the valley-fill deposits ranged from 20 to 480 feet per day (ft/d) and of the upland till deposits was 16.2 ft/d. Calibrated values of streambed hydraulic conductance ranged from 10,000 to 52,000 feet squared per day. Values of recharge and horizontal hydraulic conductivity of the valley-fill deposits were the most precisely estimated, whereas the horizontal hydraulic conductivity of till deposits was the least precisely estimated. Simulated areas contributing recharge to the well centers on the basis of the calibrated model ranged from 0.19 to 1.12 square miles (mi<sup>2</sup>) and covered a total area of 2.79 mi<sup>2</sup> for average well center withdrawal rates during 2004-08 (235 to 1,858 gallons per minute (gal/min)). Simulated areas contributing recharge for the maximum well center pumping capacities (800 to 8,500 gal/min) ranged from 0.37 to 3.53 mi2 and covered a total area of 7.99 mi2 in the modeled area. Simulated areas contributing recharge extend upgradient of the well centers to upland till and to groundwater divides. Some areas contributing recharge include small, isolated areas remote from the well centers. Relatively short groundwater traveltimes from recharging locations to discharging wells indicated the wells are vulnerable to contamination from land-surface activities: median traveltimes ranged from 2.9 to 5.0 years for the well centers, and 78 to 93 percent of the traveltimes were 10 years or less for the well centers. Land cover in the areas contributing recharge includes a substantial amount of urban land use for the two well centers in the Hunt River Basin, agriculture and sand and gravel mining uses for the well center in the Annaquatucket River Basin, and, for the well center in the Pettaquamscutt River Basin, land use is primarily undeveloped. Model-prediction uncertainty was evaluated using a Monte Carlo analysis. The parameter variance-covariance matrix from nonlinear regression was used to create parameter sets that reflect the uncertainty of the parameter estimates and the correlation among parameters. The remaining parameters representing the glacial deposits (vertical anisotropy of valley-fill deposits and of till deposits, maximum groundwater evapotranspiration, and hydraulic conductance for headdependent cells representing a groundwater divide) that could not be estimated with nonlinear regression were incorporated into the variance-covariance matrix using prior information on parameters. Thus the uncertainty analysis was an outcome of calibrating the parameters to available observations and to information that the modeler provided. A water budget and model-fit statistical criteria were used to assess parameter sets so that prediction uncertainty was not overestimated. Because of the effects of parameter uncertainty, the size of the probabilistic contributing areas for each well center for both average and maximum pumping rates was larger than the size of the deterministic contributing areas for the well center. Thus, some areas not in the deterministic contributing area may actually be in the contributing area, including additional areas of urban and agricultural land use. Generally, areas closest to the well centers with short groundwater traveltimes are associated with higher probabilities, whereas areas distant from the well centers with long groundwater traveltimes are associated with lower probabilities. The deterministic contributing areas generally corresponded to areas associated with high probabilities (greater than 50 percent). Areas associated with low probabilities extended long distances along groundwater divides in the uplands remote from the well centers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125114","collaboration":"Prepared in cooperation with the Rhode Island Department of Health","usgsCitation":"Friesz, P.J., 2012, Evaluating prediction uncertainty of areas contributing recharge to well fields of multiple water suppliers in the Hunt-Annaquatucket-Pettaquamscutt River Basins, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2012-5114, vii, 46 p., https://doi.org/10.3133/sir20125114.","productDescription":"vii, 46 p.","numberOfPages":"53","onlineOnly":"Y","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":259772,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5114/pdf/sir2012-5114_report_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259773,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5114/","linkFileType":{"id":5,"text":"html"}},{"id":259777,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125114.gif"}],"scale":"24000","projection":"Rhode Island State Plane","datum":"North American Datum of 1983","country":"United States","state":"Rhode Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.56666666666666,41.5 ], [ -71.56666666666666,41.666666666666664 ], [ -71.4,41.666666666666664 ], [ -71.4,41.5 ], [ -71.56666666666666,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0beee4b0c8380cd52950","contributors":{"authors":[{"text":"Friesz, Paul J. 0000-0002-4660-2336 pfriesz@usgs.gov","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":1075,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul","email":"pfriesz@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466709,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039676,"text":"sir20125160 - 2012 - A science plan for a comprehensive assessment of water supply in the region underlain by fractured rock in Maryland","interactions":[],"lastModifiedDate":"2023-03-09T20:18:33.990287","indexId":"sir20125160","displayToPublicDate":"2012-08-22T00:00:00","publicationYear":"2012","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":"2012-5160","title":"A science plan for a comprehensive assessment of water supply in the region underlain by fractured rock in Maryland","docAbstract":"The fractured rock region of Maryland, which includes land areas north and west of the Interstate 95 corridor, is the source of water supply for approximately 4.4 million Marylanders, or approximately 76 percent of the State's population. Whereas hundreds of thousands of residents rely on wells (both domestic and community), millions rely on surface-water sources. In this region, land use, geology, topography, water withdrawals, impoundments, and other factors affect water-flow characteristics. The unconfined groundwater systems are closely interconnected with rivers and streams, and are affected by seasonal and climatic variations. During droughts, groundwater levels drop, thereby decreasing well yields, and in some cases, wells have gone dry. Low ground-water levels contribute to reduced streamflows, which in turn, can lead to reduced habitat for aquatic life. Increased demand, over-allocation, population growth, and climate change can affect the future sustainability of water supplies in the region of Maryland underlain by fractured rock. In response to recommendations of the 2008 Advisory Committee on the Management and Protection of the State's Water Resources report, the Maryland Department of the Environment's Water Supply Program, the Maryland Geological Survey, the Maryland Department of Natural Resources, Monitoring and Non-Tidal Assessment (MANTA) Division, and the U.S. Geological Survey have developed a science plan for a comprehensive assessment that will provide new scientific information, new data analysis, and new tools for the State to better manage water resources in the fractured rock region of Maryland. The science plan lays out five goals for the comprehensive assessment: (1) develop tools for the improved management and investigation of groundwater and surface-water resources; (2) characterize factors affecting reliable yields of individual groundwater and surface-water supplies; (3) investigate impacts on nearby water withdrawal users caused by groundwater and surface-water withdrawals; (4) assess the role of streamflow and water withdrawals on the ecological integrity of streams; and (5) improve understanding of the distribution of water-quality conditions in fractured rock aquifers. To accomplish these goals, accurate data collection, review, and analysis are needed, including the study of \"Research Watersheds\" that can provide detailed information about the potential effects that climate change and water withdrawals may have on groundwater, streamflow, and aquatic life. The assessment planning started in 2009 and is being conducted with close interagency coordination. A Fractured Rock Aquifer Information System is currently (2012) undergoing initial development. Other major tasks that will be performed include the development of work plans for each science goal, the estimation of daily streamflow at ungaged streams, and the design and implementation of Research Watersheds. Finally, scenarios will be modeled to evaluate current water allocation permitting methodologies, investigate effects on nearby water withdrawal users caused by groundwater and surface-water withdrawals, and assess the potential impacts of climate change on water resources. Desktop and Web-based tools will be developed in order to meet the diverse research needs of the assessment. These tools, including the Fractured Rock Aquifer Information System will be continuously improved during the assessment to store relevant groundwater and surface-water data in spatially referenced databases, estimate streamflows, locate higher-yielding wells, estimate the impacts of withdrawals on nearby users, and assess the cumulative impacts of withdrawals on the aquatic resource. Tools will be developed to serve the needs of many audiences, including water resource managers, water suppliers, planners, policymakers, and other scientific investigators.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125160","collaboration":"Prepared in cooperation with the Maryland Department of the Environment and the Maryland Department of Natural Resources","usgsCitation":"Fleming, B.J., Hammond, P.A., Stranko, S.A., Duigon, M.T., and Kasraei, S., 2012, A science plan for a comprehensive assessment of water supply in the region underlain by fractured rock in Maryland: U.S. Geological Survey Scientific Investigations Report 2012-5160, vi, 29 p., https://doi.org/10.3133/sir20125160.","productDescription":"vi, 29 p.","numberOfPages":"29","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":259770,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5160/pdf/sir2012-5160-508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259771,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5160/","linkFileType":{"id":5,"text":"html"}},{"id":259775,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5160.gif"}],"scale":"100000","projection":"Maryland State Plane Lambert Conformal Conic","datum":"North American Datum of 1983","country":"United States","state":"Maryl","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.55,39 ], [ -79.55,39.71666666666667 ], [ -75.75,39.71666666666667 ], [ -75.75,39 ], [ -79.55,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e57ae4b0c8380cd46d62","contributors":{"authors":[{"text":"Fleming, Brandon J. 0000-0001-9649-7485 bjflemin@usgs.gov","orcid":"https://orcid.org/0000-0001-9649-7485","contributorId":4115,"corporation":false,"usgs":true,"family":"Fleming","given":"Brandon","email":"bjflemin@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, Patrick A.","contributorId":32390,"corporation":false,"usgs":true,"family":"Hammond","given":"Patrick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stranko, Scott A.","contributorId":100675,"corporation":false,"usgs":true,"family":"Stranko","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duigon, Mark T.","contributorId":79947,"corporation":false,"usgs":true,"family":"Duigon","given":"Mark","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":466707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kasraei, Saeid","contributorId":44252,"corporation":false,"usgs":true,"family":"Kasraei","given":"Saeid","email":"","affiliations":[],"preferred":false,"id":466706,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039671,"text":"sir20125072 - 2012 - Effects of groundwater withdrawals associated with combined-cycle combustion turbine plants in west Tennessee and northern Mississippi","interactions":[],"lastModifiedDate":"2012-08-28T15:38:24","indexId":"sir20125072","displayToPublicDate":"2012-08-22T00:00:00","publicationYear":"2012","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":"2012-5072","title":"Effects of groundwater withdrawals associated with combined-cycle combustion turbine plants in west Tennessee and northern Mississippi","docAbstract":"The Mississippi Embayment Regional Aquifer Study groundwater-flow model was used to simulate the potential effects on future groundwater withdrawals at five powerplant sites-Gleason, Weakley County, Tennessee; Tenaska, Haywood County, Tennessee; Jackson, Madison County, Tennessee; Southaven, DeSoto County, Mississippi; and Magnolia, Benton County, Mississippi. The scenario used in the simulation consisted of a 30-year average water-use period followed by a 30-day peak water-demand period. Effects of the powerplants on the aquifer system were evaluated by comparing the difference in simulated water levels in the aquifers at the end of the scenario (30 years plus 30 days) with and without the combined-cycle-plant withdrawals. Simulated potentiometric surface declines in source aquifers at potential combined-cycle-plant sites ranged from 56 feet in the upper Wilcox aquifer at the Magnolia site to 20 feet in the Memphis aquifer at the Tenaska site. The affected areas in the source aquifers at the sites delineated by the 4-foot potentiometric surface-decline contour ranged from 11,362 acres at Jackson to 535,143 acres at Southaven. The extent of areas affected by potentiometric surface declines was similar at the Gleason and Magnolia sites. The affected area at the Tenaska site was smaller than the affected areas at the other sites, most likely as a result of lower withdrawal rates and greater aquifer thickness. The extent of effect was smallest at the Jackson site, where the nearby Middle Fork Forked Deer River may act as a recharge boundary. Additionally, the Jackson site lies in the Memphis aquifer outcrop area where model-simulated recharge rates are higher than in areas where the Memphis aquifer underlies less permeable deposits. The potentiometric surface decline in aquifers overlying or underlying a source aquifer was generally 2 feet or less at all the sites except Gleason. At the Gleason site, withdrawals from the Memphis aquifer resulted in declines of as much as 9 feet in the underlying Fort Pillow aquifer. The simulated potentiometric surface change occurring in the Fort Pillow aquifer appears to be the result of leakage through the Flour Island Formation separating the Memphis and Fort Pillow aquifers where this confining unit is thin, sandy, or absent.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125072","collaboration":"Prepared in cooperation with the Tennessee Valley Authority","usgsCitation":"Haugh, C.J., 2012, Effects of groundwater withdrawals associated with combined-cycle combustion turbine plants in west Tennessee and northern Mississippi: U.S. Geological Survey Scientific Investigations Report 2012-5072, iv, 22 p., https://doi.org/10.3133/sir20125072.","productDescription":"iv, 22 p.","numberOfPages":"26","onlineOnly":"Y","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":259766,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5072.gif"},{"id":259762,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5072/pdf/sir20125072_book_08132012.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259763,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5072/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas;Kentucky;Mississippi;Missouri;Tennessee","county":"Benton;De Soto;Haywood;Madison;Shelby;Weakley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.7,34.5 ], [ -91.7,36.916666666666664 ], [ -87.8,36.916666666666664 ], [ -87.8,34.5 ], [ -91.7,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0706e4b0c8380cd51512","contributors":{"authors":[{"text":"Haugh, Connor J. 0000-0002-5204-8271 cjhaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":3932,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor","email":"cjhaugh@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466699,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039674,"text":"70039674 - 2012 - Ills in the pipeline: Emerging infectious diseases and wildlife","interactions":[],"lastModifiedDate":"2024-03-19T15:33:31.978217","indexId":"70039674","displayToPublicDate":"2012-08-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Ills in the pipeline: Emerging infectious diseases and wildlife","docAbstract":"<p>In the recent film Contagion, a medical thriller released in fall 2011, the fictitious MEV-1 virus&mdash;passed from bat to pig to humans&mdash;spreads across the globe as easily as the common cold, killing millions of humans and causing mass hysteria as medical researchers race to find a cure. Though it's Hollywood hyperbole, the film holds a kernel of truth: Researchers believe that the close proximity of Malaysian hog farms to forested areas&mdash;the natural habitat for fruit bats&mdash;allowed the previously unknown Nipah virus to spill from bats into pigs and subsequently into people, resulting in more than 100 human deaths (Epstein et al. 2006). There is no doubt that in recent times we have seen an unprecedented number of emerging infectious diseases, defined by the Institute for Medicine as new, reemerging, or drug-resistant infections whose incidence has increased or whose incidence threatens to increase in the near future. Many of these have a wildlife origin (Taylor et al. 2001). While this jump may be due, in part, to increased vigilance and reporting, there is a general consensus that current global conditions are creating a situation that is very favorable to the transmission of microbes that cause diseases. (For reviews, see Daszak et al. 2001 and Keesing et al. 2010). Likewise, it's increasingly important that wildlife professionals become aware of how and why new infectious diseases spread and what, if anything, can be done to minimize impacts on wildlife.</p>","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","usgsCitation":"Sleeman, J.M., and Gillin, C., 2012, Ills in the pipeline: Emerging infectious diseases and wildlife: The Wildlife Professional, v. 6, no. 1, p. 28-32.","productDescription":"5 p.","startPage":"28","endPage":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035371","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":259774,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3870e4b0c8380cd61587","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":466702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillin, Colin","contributorId":87400,"corporation":false,"usgs":true,"family":"Gillin","given":"Colin","affiliations":[],"preferred":false,"id":466703,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039659,"text":"ofr20121149 - 2012 - Water-quality and geophysical data for three study sites within the Williston Basin and Prairie Pothole Region","interactions":[],"lastModifiedDate":"2012-08-22T01:01:58","indexId":"ofr20121149","displayToPublicDate":"2012-08-21T00:00:00","publicationYear":"2012","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":"2012-1149","title":"Water-quality and geophysical data for three study sites within the Williston Basin and Prairie Pothole Region","docAbstract":"This report is a data release for water geochemical sample analyses and geophysical surveys for three sites within the Williston Basin and Prairie Pothole Region of Montana and North Dakota. The data collection sites and procedures are described.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121149","usgsCitation":"Preston, T.M., Smith, B.D., Thamke, J., and Chesley-Preston, T.L., 2012, Water-quality and geophysical data for three study sites within the Williston Basin and Prairie Pothole Region: U.S. Geological Survey Open-File Report 2012-1149, iv; 17 p.; Table 1-1 XLS; Table 1-2 XLS; Table 1-3 XLS; Table 1-4 XLS, https://doi.org/10.3133/ofr20121149.","productDescription":"iv; 17 p.; Table 1-1 XLS; Table 1-2 XLS; Table 1-3 XLS; Table 1-4 XLS","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":259751,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1149.gif"},{"id":259749,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1149/OF12-1149.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259748,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1149/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic","country":"Canada;United States","state":"Alberta;Iowa;Manitoba;Minnesota;Montana;North Dakota;Saskatchewan;South Dakota","otherGeospatial":"Williston Basin;Bakken Formation;Prairie Pothole Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,40 ], [ -116,55 ], [ -89,55 ], [ -89,40 ], [ -116,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcd92e4b08c986b32e066","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":466688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":466686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":466687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chesley-Preston, Tara L. tchesley-preston@usgs.gov","contributorId":5557,"corporation":false,"usgs":true,"family":"Chesley-Preston","given":"Tara","email":"tchesley-preston@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":466689,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039655,"text":"sir20125167 - 2012 - Creation of digital contours that approach the characteristics of cartographic contours","interactions":[],"lastModifiedDate":"2018-02-23T12:39:34","indexId":"sir20125167","displayToPublicDate":"2012-08-21T00:00:00","publicationYear":"2012","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":"2012-5167","title":"Creation of digital contours that approach the characteristics of cartographic contours","docAbstract":"The capability to easily create digital contours using commercial off-the-shelf (COTS) software has existed for decades. Out-of-the-box raw contours are suitable for many scientific applications without pre- or post-processing; however, cartographic applications typically require additional improvements. For example, raw contours generally require smoothing before placement on a map. Cartographic contours must also conform to certain spatial/logical rules; for example, contours may not cross waterbodies. The objective was to create contours that match as closely as possible the cartographic contours produced by manual methods on the 1:24,000-scale, 7.5-minute Topographic Map series. This report outlines the basic approach, describes a variety of problems that were encountered, and discusses solutions. Many of the challenges described herein were the result of imperfect input raster elevation data and the requirement to have the contours integrated with hydrographic features from the National Hydrography Dataset (NHD).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125167","usgsCitation":"Tyler, D., and Greenlee, S.K., 2012, Creation of digital contours that approach the characteristics of cartographic contours: U.S. Geological Survey Scientific Investigations Report 2012-5167, iv, 31 p., https://doi.org/10.3133/sir20125167.","productDescription":"iv, 31 p.","numberOfPages":"40","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":259750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5167.gif"},{"id":259744,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5167/","linkFileType":{"id":5,"text":"html"}},{"id":259745,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5167/sir2012-5167.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fc9fe4b0c8380cd4e352","contributors":{"authors":[{"text":"Tyler, Dean J. 0000-0002-1542-7539","orcid":"https://orcid.org/0000-0002-1542-7539","contributorId":96142,"corporation":false,"usgs":true,"family":"Tyler","given":"Dean J.","affiliations":[],"preferred":false,"id":466680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenlee, Susan K. sgreenlee@usgs.gov","contributorId":3326,"corporation":false,"usgs":true,"family":"Greenlee","given":"Susan","email":"sgreenlee@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":466679,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039663,"text":"fs20123107 - 2012 - Assessment of undiscovered oil and gas resources of the Central Burma Basin and the Irrawaddy-Andaman and Indo-Burman Geologic Provinces, Myanmar","interactions":[],"lastModifiedDate":"2012-08-22T01:01:58","indexId":"fs20123107","displayToPublicDate":"2012-08-21T00:00:00","publicationYear":"2012","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":"2012-3107","title":"Assessment of undiscovered oil and gas resources of the Central Burma Basin and the Irrawaddy-Andaman and Indo-Burman Geologic Provinces, Myanmar","docAbstract":"The Irrawaddy-Andaman and Indo-Burman Geologic Provinces were recently assessed for undiscovered technically recoverable oil, natural gas, and natural gas liquids resources as part of the U.S. Geological Survey's (USGS) World Oil and Gas Assessment. Using a geology-based assessment methodology, the USGS estimated mean volumes of 2.3 billion barrels of oil, 79.6 trillion cubic feet of gas, and 2.1 billion barrels of natrual gas liquids.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123107","collaboration":"World Petroleum Resources Project","usgsCitation":"Wandrey, C.J., Schenk, C.J., Klett, T., Brownfield, M.E., Charpentier, R., Cook, T.A., Pollastro, R.M., and Tennyson, M., 2012, Assessment of undiscovered oil and gas resources of the Central Burma Basin and the Irrawaddy-Andaman and Indo-Burman Geologic Provinces, Myanmar: U.S. Geological Survey Fact Sheet 2012-3107, 2 p., https://doi.org/10.3133/fs20123107.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3107.gif"},{"id":259755,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3107/","linkFileType":{"id":5,"text":"html"}},{"id":259756,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3107/FS12-3107.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"Myanmar","state":"Indo-Burman;Irrawaddy-Andaman","otherGeospatial":"Central Burma Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 86,6 ], [ 86,30 ], [ 104,30 ], [ 104,6 ], [ 86,6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee79e4b0c8380cd49d91","contributors":{"authors":[{"text":"Wandrey, Craig J. cwandrey@usgs.gov","contributorId":1590,"corporation":false,"usgs":true,"family":"Wandrey","given":"Craig","email":"cwandrey@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":466695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":466691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":466690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":466694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":466692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":466696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":1433,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":466693,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70039658,"text":"ofr20121134 - 2012 - Hydrologic data for an investigation of the Smith River Watershed through water year 2010","interactions":[],"lastModifiedDate":"2012-08-22T01:01:58","indexId":"ofr20121134","displayToPublicDate":"2012-08-21T00:00:00","publicationYear":"2012","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":"2012-1134","title":"Hydrologic data for an investigation of the Smith River Watershed through water year 2010","docAbstract":"Hydrologic data collected through water year 2010 and compiled as part of a U.S. Geological Survey study of the water resources of the Smith River watershed in west-central Montana are presented in this report. Tabulated data presented in this report were collected at 173 wells and 65 surface-water sites. Figures include location maps of data-collection sites and hydrographs of streamflow. Digital data files used to construct the figures, hydrographs, and data tables are included in the report. Data collected by the USGS are also stored in the USGS National Water Information System database and are available through the USGS National Water Information System Water Data for Montana Web page at <i>http://waterdata.usgs.gov/mt/nwis/</i>.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121134","collaboration":"Prepared in cooperation with Meagher County Conservation District","usgsCitation":"Nilges, H.L., and Caldwell, R.R., 2012, Hydrologic data for an investigation of the Smith River Watershed through water year 2010: U.S. Geological Survey Open-File Report 2012-1134, vii; 44 p.; README.TXT; Appendix 1-10 XLS, https://doi.org/10.3133/ofr20121134.","productDescription":"vii; 44 p.; README.TXT; Appendix 1-10 XLS","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":259752,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1134.gif"},{"id":259746,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1134/","linkFileType":{"id":5,"text":"html"}},{"id":259747,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1134/OF12-1134.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Lambert Conformal Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"Montana","county":"Cascade;Meagher","city":"Fort Logan","otherGeospatial":"Smith River;Eagle Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,46 ], [ -112,47.5 ], [ -110.5,47.5 ], [ -110.5,46 ], [ -112,46 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a35bfe4b0c8380cd60180","contributors":{"authors":[{"text":"Nilges, Hannah L. hnilges@usgs.gov","contributorId":4678,"corporation":false,"usgs":true,"family":"Nilges","given":"Hannah","email":"hnilges@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":466685,"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":466684,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039666,"text":"ofr20121167 - 2012 - Superposed epoch analysis and storm statistics from 25 years of the global geomagnetic disturbance index, USGS-Dst","interactions":[],"lastModifiedDate":"2012-08-22T01:01:58","indexId":"ofr20121167","displayToPublicDate":"2012-08-21T00:00:00","publicationYear":"2012","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":"2012-1167","title":"Superposed epoch analysis and storm statistics from 25 years of the global geomagnetic disturbance index, USGS-Dst","docAbstract":"Statistics on geomagnetic storms with minima below -50 nanoTesla are compiled using a 25-year span of the 1-minute resolution disturbance index, U.S. Geological Survey Dst. A sudden commencement, main phase minimum, and time between the two has a magnitude of 35 nanoTesla, -100 nanoTesla, and 12 hours, respectively, at the 50th percentile level. The cumulative distribution functions for each of these features are presented. Correlation between sudden commencement magnitude and main phase magnitude is shown to be low. Small, medium, and large storm templates at the 33rd, 50th, and 90th percentile are presented and compared to real examples. In addition, the relative occurrence of rates of change in Dst are presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121167","usgsCitation":"Gannon, J., 2012, Superposed epoch analysis and storm statistics from 25 years of the global geomagnetic disturbance index, USGS-Dst: U.S. Geological Survey Open-File Report 2012-1167, iv; 15 p., https://doi.org/10.3133/ofr20121167.","productDescription":"iv; 15 p.","numberOfPages":"19","onlineOnly":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":259760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1167.gif"},{"id":259757,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1167/","linkFileType":{"id":5,"text":"html"}},{"id":259758,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1167/OF12-1167.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9f5ae4b08c986b31e505","contributors":{"authors":[{"text":"Gannon, J.L.","contributorId":78275,"corporation":false,"usgs":true,"family":"Gannon","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":466698,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039647,"text":"ofr20121180 - 2012 - Preliminary juvenile Lost River and shortnose sucker investigations in Clear Lake, California--2011 pilot study summary","interactions":[],"lastModifiedDate":"2012-08-21T01:02:01","indexId":"ofr20121180","displayToPublicDate":"2012-08-20T00:00:00","publicationYear":"2012","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":"2012-1180","title":"Preliminary juvenile Lost River and shortnose sucker investigations in Clear Lake, California--2011 pilot study summary","docAbstract":"Poor recruitment appears to limit the recovery of Lost River and shortnose sucker populations in Clear Lake Reservoir, California, but the cause is unknown. Adult suckers migrate up Willow Creek and its tributaries to spawn in some years, but low flow in Willow Creek may inhibit spawning migrations in other years. It is unclear whether spawning is successful, larvae survive, or juveniles persist to adulthood. Environmental variables associated with successful spawning or young-of-year survival have not been identified and early life history for these populations is poorly understood. The U.S. Geological Survey in cooperation with the U.S. Fish and Wildlife Service and Ruby Pipeline L.L.C. Corporation (El Paso, Tex.) initiated a study in 2011 to better understand juvenile sucker life history in Clear Lake Reservoir, and to identify constraints in the early life history that may limit recruitment to the adult spawning populations. This is a report on the 2011 pilot study for this project.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121180","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Burdick, S.M., and Rasmussen, J., 2012, Preliminary juvenile Lost River and shortnose sucker investigations in Clear Lake, California--2011 pilot study summary: U.S. Geological Survey Open-File Report 2012-1180, iv, 18 p.; ill.; map, https://doi.org/10.3133/ofr20121180.","productDescription":"iv, 18 p.; ill.; map","startPage":"i","endPage":"18","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":259741,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1180.jpg"},{"id":259732,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1180/","linkFileType":{"id":5,"text":"html"}},{"id":259733,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1180/pdf/ofr20121180.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8866e4b0c8380cd7d8c8","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":466667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Josh","contributorId":47634,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Josh","affiliations":[],"preferred":false,"id":466668,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039651,"text":"ofr20111286 - 2012 - Simulated flow of groundwater and brine from a flooded salt mine in Livingston County, New York, and effects of remedial pumping on an overlying aquifer","interactions":[],"lastModifiedDate":"2012-08-21T01:02:01","indexId":"ofr20111286","displayToPublicDate":"2012-08-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1286","title":"Simulated flow of groundwater and brine from a flooded salt mine in Livingston County, New York, and effects of remedial pumping on an overlying aquifer","docAbstract":"Two ceiling collapses in the Retsof salt mine near Geneseo in upstate New York in spring 1994 resulted in the upward propagation of two columns of rubble through 600 feet of overlying shale and carbonate bedrock. This upward propagation formed a hydraulic connection between the lower confined aquifer (LCA) and the mine and allowed water from the aquifer and bedrock fracture zones that intersected the rubble columns to flow into the mine at a rate of 18,000 gallons per minute (gal/min) . All salt mining ceased in September 1995, and the mine was completely flooded by January 1996. The flow of water from the lower confined aquifer into the mine caused widespread drawdowns, and water levels in the aquifer declined by as much as 400 feet near the collapse area and by more than 50 feet at wells 7 miles to the north and south. Within 3 to 4 weeks of the collapses, water levels in about a dozen domestic and industrial wells had declined severely, and some wells went dry. Water levels in at least 58 wells in the lower and middle confined aquifers were affected by mine flooding. Groundwater in the upper unconfined aquifer and surface water in streams were unaffected by water-level drawdown, but channels of the Genesee River and Beards Creek were altered by land subsidence related to the mine collapse. Water levels recovered from 1996 through 2006, but the mine is now filled with about 15 billion gallons of saturated halite brine. The weight of the overlying rock and sediment is expected to cause the salt beds to deform and fill the mine cavity during the next several hundred years; this in turn could displace as much as 80 percent of the brine and cause it to move upward through the rubble chimneys, rendering the LCA unusable as a source of water supply. Saline water was detected in the LCA in 2002 but was found to be derived primarily from fractures in the limestone and shale units between the mine and the LCA, rather than from the mine. In September 2006, the mine company began a brine-mitigation project that entailed pumping five wells finished in limestone and shale units within the collapse areas to alter the flow gradient and thereby prevent further movement of brine and saline water into the LCA. The pumped brine was routed to an onsite desalination plant. At the same time, the U.S. Geological Survey (USGS) began a study in cooperation with the New York State Office of the Attorney General to construct numerical models to analyze the groundwater chemistry and delineate the directions of flow. Specific objectives of the study were to: * Assess the sources of salinity within the collapse area and identify the factors that control the movement and mixing of freshwater, saline waters from fracture zones, and brine; * Evaluate the likelihood that the pumping will induce anhydrite dissolution and lead to continued land subsidence; * Construct variable-density groundwater flow models to predict the effect of remedial pumping on salinity within the LCA; * Evaluate the effectiveness of remedial pumping in preventing the movement of saline water into the LCA; and * Predict the extent of brine migration 8 years after a hypothetical shutdown of all pumping in 2008. This report (1) summarizes the hydrogeologic setting and effects of mine flooding, (2) describes the geochemical and variable-density model simulations and their principal results, (3) discusses the implications of (a) continued pumping and desalination to protect the LCA and (b) a full shutdown of pumping after 2008, and (4) suggests further research that could lead to refinement of model predictions. Additional information may be found in Yager and others (2001 and 2009). These reports can be accessed at http://pubs.usgs.gov/pp/pp1611/ and http://pubs.usgs.gov/pp/pp1767/, respectively. A summary of simulation results can be accessed at http://ny.water.usgs.gov/projects/Coram/seawat/seawat.html.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111286","collaboration":"Prepared in cooperation with the New York State Office of the Attorney General","usgsCitation":"Yager, R.M., Miller, T.S., Kappel, W.M., Misut, P.E., Langevin, C.D., Parkhurst, D.L., and deVries, M.P., 2012, Simulated flow of groundwater and brine from a flooded salt mine in Livingston County, New York, and effects of remedial pumping on an overlying aquifer: U.S. Geological Survey Open-File Report 2011-1286, 15 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20111286.","productDescription":"15 p.; col. ill.; maps (col.)","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":259743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1286.gif"},{"id":259738,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1286/","linkFileType":{"id":5,"text":"html"}},{"id":259739,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1286/pdf/ofr2011-1286_yager_retsof_508_081712.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"New York","city":"Livingston County","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8fabe4b08c986b319081","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466673,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":466672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":466675,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"deVries, M. Peter pdevries@usgs.gov","contributorId":1555,"corporation":false,"usgs":true,"family":"deVries","given":"M.","email":"pdevries@usgs.gov","middleInitial":"Peter","affiliations":[],"preferred":true,"id":466677,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039650,"text":"sir20125110 - 2012 - Estimating basin lagtime and hydrograph-timing indexes used to characterize stormflows for runoff-quality analysis","interactions":[],"lastModifiedDate":"2012-08-21T01:02:01","indexId":"sir20125110","displayToPublicDate":"2012-08-20T00:00:00","publicationYear":"2012","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":"2012-5110","title":"Estimating basin lagtime and hydrograph-timing indexes used to characterize stormflows for runoff-quality analysis","docAbstract":"A nationwide study to better define triangular-hydrograph statistics for use with runoff-quality and flood-flow studies was done by the U.S. Geological Survey (USGS) in cooperation with the Federal Highway Administration. Although the triangular hydrograph is a simple linear approximation, the cumulative distribution of stormflow with a triangular hydrograph is a curvilinear S-curve that closely approximates the cumulative distribution of stormflows from measured data. The temporal distribution of flow within a runoff event can be estimated using the basin lagtime, (which is the time from the centroid of rainfall excess to the centroid of the corresponding runoff hydrograph) and the hydrograph recession ratio (which is the ratio of the duration of the falling limb to the rising limb of the hydrograph). This report documents results of the study, methods used to estimate the variables, and electronic files that facilitate calculation of variables. Ten viable multiple-linear regression equations were developed to estimate basin lagtimes from readily determined drainage basin properties using data published in 37 stormflow studies. Regression equations using the basin lag factor (BLF, which is a variable calculated as the main-channel length, in miles, divided by the square root of the main-channel slope in feet per mile) and two variables describing development in the drainage basin were selected as the best candidates, because each equation explains about 70 percent of the variability in the data. The variables describing development are the USGS basin development factor (BDF, which is a function of the amount of channel modifications, storm sewers, and curb-and-gutter streets in a basin) and the total impervious area variable (IMPERV) in the basin. Two datasets were used to develop regression equations. The primary dataset included data from 493 sites that have values for the BLF, BDF, and IMPERV variables. This dataset was used to develop the best-fit regression equation using the BLF and BDF variables. The secondary dataset included data from 896 sites that have values for the BLF and IMPERV variables. This dataset was used to develop the best-fit regression equation using the BLF and IMPERV variables. Analysis of hydrograph recession ratios and basin characteristics for 41 sites indicated that recession ratios are random variables. Thus, recession ratios cannot be estimated quantitatively using multiple linear regression equations developed using the data available for these sites. The minimums of recession ratios for different streamgages are well characterized by a value of one. The most probable values and maximum values of recession ratios for different streamgages are, however, more variable than the minimums. The most probable values of recession ratios for the 41 streamgages analyzed ranged from 1.0 to 3.52 and had a median of 1.85. The maximum values ranged from 2.66 to 11.3 and had a median of 4.36.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125110","collaboration":"Prepared in cooperation with the Department of Transportation Federal Highway Administration","usgsCitation":"Granato, G., 2012, Estimating basin lagtime and hydrograph-timing indexes used to characterize stormflows for runoff-quality analysis: U.S. Geological Survey Scientific Investigations Report 2012-5110, vi, 47 p.; col. ill.; map (col.); Digital Media Directory; ISO Download of CD-ROM; GI Download of CD-ROM; PDF Download of Disk-Face Label; PDF Download of Door Card, https://doi.org/10.3133/sir20125110.","productDescription":"vi, 47 p.; col. ill.; map (col.); Digital Media Directory; ISO Download of CD-ROM; GI Download of CD-ROM; PDF Download of Disk-Face Label; PDF Download of Door Card","startPage":"i","endPage":"47","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":259742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5110.gif"},{"id":259736,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5110/pdf/sir2012-5110_text.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259737,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5110/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b0de4b0c8380cd5253d","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466670,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039646,"text":"sir20125170 - 2012 - Variability in stream chemistry in relation to urban development and biological condition in seven metropolitan areas of the United States, 1999-2004","interactions":[],"lastModifiedDate":"2012-08-21T01:02:01","indexId":"sir20125170","displayToPublicDate":"2012-08-20T00:00:00","publicationYear":"2012","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":"2012-5170","title":"Variability in stream chemistry in relation to urban development and biological condition in seven metropolitan areas of the United States, 1999-2004","docAbstract":"Beginning in 1999, the U.S. Geological Survey National Water Quality Assessment Program investigated the effects of urban development on stream ecosystems in nine metropolitan study areas across the United States. In seven of these study areas, stream-chemistry samples were collected every other month for 1 year at 6 to 10 sites. Within a study area, the sites collectively represented a gradient of urban development from minimally to highly developed watersheds, based on the percentage of urban land cover; depending on study area, the land cover before urban development was either forested or agricultural. The stream-chemistry factors measured in the samples were total nitrogen, total phosphorus, chloride, and pesticide toxicity. These data were used to characterize the stream-chemistry factors in four ways (hereafter referred to as characterizations)&mdash;seasonal high-flow value, seasonal low-flow value, the median value (representing a single integrated value of the factor over the year), and the standard deviation of values (representing the variation of the factor over the year). Aquatic macroinvertebrate communities were sampled at each site to infer the biological condition of the stream based on the relative sensitivity of the community to environmental stressors. A Spearman correlation analysis was used to evaluate relations between (1) urban development and each characterization of the stream-chemistry factors and (2) the biological condition of a stream and the different characterizations of chloride and pesticide toxicity. Overall, the study areas where the land cover before urban development was primarily forested had a greater number of moderate and strong relations compared with the study areas where the land cover before urban development was primarily agriculture; this was true when urban development was correlated with the stream-chemistry factors (except chloride) and when chloride and pesticide toxicity was correlated with the biological condition. Except for primarily phosphorus in two study areas, stream-chemistry factors generally increased with urban development, and among the different characterizations, the median value typically indicated the strongest relations. The variation in stream-chemistry factors throughout the year generally increased with urban development, indicating that water quality became less consistent as watersheds were developed. In study areas with high annual snow fall, the variation in chloride concentrations throughout the year was particularly strongly related to urban development, likely a result of road salt applications during the winter. The relations of the biological condition to chloride and pesticide toxicity were calculated irrespective of urban development, but the overall results indicated that the relations were still stronger in the study areas that had been forested before urban development. The weaker relations in the study areas that had been agricultural before urban development were likely the results of biological communities having been degraded from agricultural practices in the watersheds. Collectively, these results indicated that, compared with sampling a stream at a single point in time, sampling at regular intervals during a year may provide a more representative measure of water quality, especially in the areas of high urban development where water quality fluctuated more widely between samples. Furthermore, the use of \"integrated\" values of stream chemistry factors may be more appropriate when assessing relations to the biological condition of a stream because the taxa composition of a biological community typically reflects the water-quality conditions over time.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125170","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Beaulieu, K., Bell, A.H., and Coles, J.F., 2012, Variability in stream chemistry in relation to urban development and biological condition in seven metropolitan areas of the United States, 1999-2004: U.S. Geological Survey Scientific Investigations Report 2012-5170, vi, 27 p.; col. ill.; maps (col.); Appendix, https://doi.org/10.3133/sir20125170.","productDescription":"vi, 27 p.; col. ill.; maps (col.); Appendix","startPage":"i","endPage":"27","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":259731,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5170.gif"},{"id":259730,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5170/pdf/sir2012-5170_beaulieu_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259729,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5170/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc12fe4b08c986b32a48f","contributors":{"authors":[{"text":"Beaulieu, Karen M. kmbeauli@usgs.gov","contributorId":2241,"corporation":false,"usgs":true,"family":"Beaulieu","given":"Karen M.","email":"kmbeauli@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coles, James F. 0000-0002-1953-012X jcoles@usgs.gov","orcid":"https://orcid.org/0000-0002-1953-012X","contributorId":2239,"corporation":false,"usgs":true,"family":"Coles","given":"James","email":"jcoles@usgs.gov","middleInitial":"F.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039648,"text":"ofr20121115 - 2012 - Measurements of seepage losses and gains, East Maui Irrigation diversion system, Maui, Hawai&#699;i","interactions":[],"lastModifiedDate":"2012-08-21T01:02:01","indexId":"ofr20121115","displayToPublicDate":"2012-08-19T13:45:35","publicationYear":"2012","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":"2012-1115","title":"Measurements of seepage losses and gains, East Maui Irrigation diversion system, Maui, Hawai&#699;i","docAbstract":"The U.S. Geological Survey conducted a field study from March to October 2011 to identify ditch characteristics and quantify seepage losses and gains in the East Maui Irrigation (EMI) diversion system, east Maui, Hawai&#699;i. The EMI diversion system begins at Makapipi Stream in the east and ends at M&#257;liko Gulch in the west. It consists of four primary ditches known as the Wailoa, New H&#257;m&#257;kua, Lowrie, and Ha&#699;ik&#363; Ditches. Additional ditches that connect to the four primary ditches include the Ko&#699;olau, Spreckels, Kauhikoa, Spreckels at P&#257;pa&#699;a&#699;ea, Manuel Luis, and Center Ditches. Ditch characteristics for about 63 miles of the EMI diversion system, excluding abandoned ditches and stream conveyances, were identified. About 46 miles (73 percent) of the surveyed diversion system are tunnels and 17 miles are open ditches&mdash;in which 11 miles are unlined, 3.5 miles are lined, and 2.5 miles are partially lined. The Wailoa, Kauhikoa, and Ha&#699;ik&#363; Ditches have greater than 96 percent of their total lengths as tunnels, whereas more than half of the Lowrie Ditch and Spreckels Ditch at P&#257;pa&#699;a&#699;ea are open ditches. About 70 percent of the total length of lined open ditches in the EMI diversion system is located along the Ko&#699;olau Ditch, whereas about 67 percent of the total length of unlined open ditches in the diversion system is located along the Lowrie Ditch. Less than 4 percent of the EMI diversion system is partially lined open ditches, and about half of the total partially lined open-ditch length is in the Spreckels Ditch. EMI regularly maintains and repairs the diversion system; therefore, ditch characteristics documented in this report are representative of conditions existing during the period of this study. Discharge measurements were made along 26 seepage-run measurement reaches that are a total of about 15 miles in length. The seepage-run measurement reaches represent 23 percent of the total length of ditches in the EMI diversion system. Discharge measurements were made along the measurement reaches during periods of stable ditch flow in the months of June, August, and September 2011. The discharge measurements indicate that Ko&#699;olau Ditch and Spreckels Ditch at P&#257;pa&#699;a&#699;ea generally had seepage losses, whereas Wailoa, Kauhikoa, and New H&#257;m&#257;kua Ditches had seepage gains within the measured reaches. The Manuel Luis, Center, Lowrie, and Ha&#699;ik&#363; Ditches had variable seepage losses and gains within the seepage-run measurement reaches. Open-ditch measurement reaches generally had seepage losses that ranged from 0.1 cubic feet per second per mile of ditch at the Lowrie Ditch to 3.0 cubic feet per second per mile at the Ko&#699;olau Ditch. Tunnel measurement reaches generally had seepage gains that ranged from 0.1 cubic feet per second per mile at the Manuel Luis Ditch to 5.2 cubic feet per second per mile at the Wailoa Ditch.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121115","collaboration":"Prepared in cooperation with the State of Hawai&#699;i Commission on Water Resource Management","usgsCitation":"Cheng, C.L., 2012, Measurements of seepage losses and gains, East Maui Irrigation diversion system, Maui, Hawai&#699;i: U.S. Geological Survey Open-File Report 2012-1115, iv, 23 p.; col. ill.; maps (col.); Appendix, https://doi.org/10.3133/ofr20121115.","productDescription":"iv, 23 p.; col. ill.; maps (col.); Appendix","startPage":"i","endPage":"23","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":259735,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1115/","linkFileType":{"id":5,"text":"html"}},{"id":259734,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1115/of2012-1115.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259740,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1115.gif"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Maui","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5331e4b0c8380cd6c927","contributors":{"authors":[{"text":"Cheng, Chui Ling 0000-0003-2396-2571 ccheng@usgs.gov","orcid":"https://orcid.org/0000-0003-2396-2571","contributorId":3926,"corporation":false,"usgs":true,"family":"Cheng","given":"Chui","email":"ccheng@usgs.gov","middleInitial":"Ling","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466669,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032442,"text":"70032442 - 2012 - Migratory flyway and geographical distance are barriers to the gene flow of influenza virus among North American birds","interactions":[],"lastModifiedDate":"2020-11-13T20:34:18.822002","indexId":"70032442","displayToPublicDate":"2012-08-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Migratory flyway and geographical distance are barriers to the gene flow of influenza virus among North American birds","docAbstract":"<p><span>Despite the importance of migratory birds in the ecology and evolution of avian influenza virus (AIV), there is a lack of information on the patterns of AIV spread at the intra‐continental scale. We applied a variety of statistical phylogeographic techniques to a plethora of viral genome sequence data to determine the strength, pattern and determinants of gene flow in AIV sampled from wild birds in North America. These analyses revealed a clear isolation‐by‐distance of AIV among sampling localities. In addition, we show that phylogeographic models incorporating information on the avian flyway of sampling proved a better fit to the observed sequence data than those specifying homogeneous or random rates of gene flow among localities. In sum, these data strongly suggest that the intra‐continental spread of AIV by migratory birds is subject to major ecological barriers, including spatial distance and avian flyway.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1461-0248.2011.01703.x","issn":"1461023X","usgsCitation":"Lam, T.T., Ip, S., Ghedin, E., Wentworth, D.E., Halpin, R., Stockwell, T.B., Dusek, R.J., Bortner, J.B., Hoskins, J., Bales, B.D., Yparraguirre, D.R., and Holmes, E.C., 2012, Migratory flyway and geographical distance are barriers to the gene flow of influenza virus among North American birds: Ecology Letters, v. 15, no. 1, p. 24-33, https://doi.org/10.1111/j.1461-0248.2011.01703.x.","productDescription":"10 p.","startPage":"24","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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E.","contributorId":24180,"corporation":false,"usgs":true,"family":"Ghedin","given":"E.","affiliations":[],"preferred":false,"id":804874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wentworth, David E.","contributorId":7956,"corporation":false,"usgs":true,"family":"Wentworth","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":804875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halpin, Rebecca A.","contributorId":48427,"corporation":false,"usgs":true,"family":"Halpin","given":"Rebecca A.","affiliations":[],"preferred":false,"id":804876,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stockwell, T. B.","contributorId":120764,"corporation":false,"usgs":true,"family":"Stockwell","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":804877,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":804878,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bortner, James B.","contributorId":83381,"corporation":false,"usgs":true,"family":"Bortner","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":804879,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hoskins, Jenny","contributorId":44026,"corporation":false,"usgs":true,"family":"Hoskins","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":804880,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bales, Bradley D.","contributorId":61119,"corporation":false,"usgs":true,"family":"Bales","given":"Bradley","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":804881,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yparraguirre, Daniel R.","contributorId":62476,"corporation":false,"usgs":true,"family":"Yparraguirre","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":804882,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holmes, E. C.","contributorId":116588,"corporation":false,"usgs":true,"family":"Holmes","given":"E.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":804883,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70032285,"text":"70032285 - 2012 - A modeling framework for integrated harvest and habitat management of North American waterfowl: Case-study of northern pintail metapopulation dynamics","interactions":[],"lastModifiedDate":"2020-11-13T21:00:17.113683","indexId":"70032285","displayToPublicDate":"2012-08-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A modeling framework for integrated harvest and habitat management of North American waterfowl: Case-study of northern pintail metapopulation dynamics","docAbstract":"<p><span>We developed and evaluated the performance of a metapopulation model enabling managers to examine, for the first time, the consequences of alternative management strategies involving habitat conditions and hunting on both harvest opportunity and carrying capacity (i.e., equilibrium population size in the absence of harvest) for migratory waterfowl at a continental scale. Our focus is on the northern pintail (</span><i>Anas acuta</i><span>; hereafter, pintail), which serves as a useful model species to examine the potential for integrating waterfowl harvest and habitat management in North America. We developed submodel structure capturing important processes for pintail populations during breeding, fall migration, winter, and spring migration while encompassing spatial structure representing three core breeding areas and two core nonbreeding areas. A number of continental-scale predictions from our baseline parameterization (e.g., carrying capacity of 5.5 million, equilibrium population size of 2.9 million and harvest rate of 12% at maximum sustained yield [MSY]) were within 10% of those from the pintail harvest strategy under current use by the U.S. Fish and Wildlife Service. To begin investigating the interaction of harvest and habitat management, we examined equilibrium population conditions for pintail at the continental scale across a range of harvest rates while perturbing model parameters to represent: (1) a 10% increase in breeding habitat quality in the Prairie Pothole population (PR); and (2) a 10% increase in nonbreeding habitat quantity along in the Gulf Coast (GC). Based on our model and analysis, a greater increase in carrying capacity and sustainable harvest was seen when increasing a proxy for habitat quality in the Prairie Pothole population. This finding and underlying assumptions must be critically evaluated, however, before specific management recommendations can be made. To make such recommendations, we require (1) extended, refined submodels with additional parameters linking influences of habitat management and environmental conditions to key life-history parameters; (2) a formal sensitivity analysis of the revised model; (3) an integrated population model that incorporates empirical data for estimating key vital rates; and (4) cost estimates for changing these additional parameters through habitat management efforts. We foresee great utility in using an integrated modeling approach to predict habitat and harvest management influences on continental-scale population responses while explicitly considering putative effects of climate change. Such a model could be readily adapted for management of many habitat-limited species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2011.10.028","issn":"03043800","usgsCitation":"Mattsson, B.J., Runge, M.C., Devries, J., Boomer, G., Eadie, J., Haukos, D., Fleskes, J., Koons, D.N., Thogmartin, W.E., and Clark, R., 2012, A modeling framework for integrated harvest and habitat management of North American waterfowl: Case-study of northern pintail metapopulation dynamics: Ecological Modelling, v. 225, p. 146-158, https://doi.org/10.1016/j.ecolmodel.2011.10.028.","productDescription":"13 p.","startPage":"146","endPage":"158","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":242481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214731,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2011.10.028"}],"volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e482e4b0c8380cd46698","contributors":{"authors":[{"text":"Mattsson, Brady J.","contributorId":197269,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":435433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Devries, J.H.","contributorId":84175,"corporation":false,"usgs":true,"family":"Devries","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":435437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boomer, G.S.","contributorId":48682,"corporation":false,"usgs":true,"family":"Boomer","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":435432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eadie, J.M.","contributorId":8034,"corporation":false,"usgs":true,"family":"Eadie","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":435429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haukos, D.A.","contributorId":17188,"corporation":false,"usgs":true,"family":"Haukos","given":"D.A.","affiliations":[],"preferred":false,"id":435430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleskes, J. P.","contributorId":98661,"corporation":false,"usgs":true,"family":"Fleskes","given":"J. P.","affiliations":[],"preferred":false,"id":435438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koons, D. N.","contributorId":68093,"corporation":false,"usgs":false,"family":"Koons","given":"D.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":435434,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":435431,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, R. G.","contributorId":81446,"corporation":false,"usgs":false,"family":"Clark","given":"R. G.","affiliations":[],"preferred":false,"id":435435,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70045545,"text":"70045545 - 2012 - Results of paleoflood investigations for Spring, Rapid, Boxedler, and Elk Creeks, Black Hills, western South Dakota","interactions":[],"lastModifiedDate":"2017-10-14T11:26:15","indexId":"70045545","displayToPublicDate":"2012-08-17T15:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Results of paleoflood investigations for Spring, Rapid, Boxedler, and Elk Creeks, Black Hills, western South Dakota","docAbstract":"<p>Flood-frequency analyses for the Black Hills area are especially important because of severe flooding of June 9&ndash;10, 1972, that was caused by a large mesoscale convective system and resulted in at least 238 deaths. This paper summarizes results of paleoflood investigations for six study reaches in the central Black Hills. Stratigraphic records and resulting long-term flood chronologies, locally extending more than 2,000 years, were combined with observed and historical flood information to derive flood-frequency estimates. Results indicate that floods as large as and even substantially larger than 1972 have affected most of the study reaches. Results of the paleoflood investigations provide better physically based information on low-probability floods than has been previously available, substantially improving estimates of the magnitude and frequency of large floods in the central Black Hills and reducing associated uncertainties. Collectively, the results provide insights regarding regional flood-generation processes and their spatial controls, enable approaches for extrapolation of results for hazard assessment beyond specific study reaches, and provide a millennial-scale perspective on the 1972 flooding.</p>","publisher":"South Dakota Academy of Science","publisherLocation":"Reston, VA","usgsCitation":"Driscoll, D.G., O'Connor, J., and Harden, T., 2012, Results of paleoflood investigations for Spring, Rapid, Boxedler, and Elk Creeks, Black Hills, western South Dakota, v. 91, 19 p.","productDescription":"19 p.","startPage":"49","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034576","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":324377,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sdaos.org/proceedings/"},{"id":324378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.04602050781249,\n              43.27320591705845\n            ],\n            [\n              -104.04602050781249,\n              44.49846441646551\n            ],\n            [\n              -102.69195556640625,\n              44.49846441646551\n            ],\n            [\n              -102.69195556640625,\n              43.27320591705845\n            ],\n            [\n              -104.04602050781249,\n              43.27320591705845\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576e59b2e4b07657d1a43ca2","contributors":{"authors":[{"text":"Driscoll, Daniel G. dgdrisco@usgs.gov","contributorId":1558,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138997,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":640718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Tessa M. 0000-0001-9854-1347","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":85690,"corporation":false,"usgs":false,"family":"Harden","given":"Tessa M.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":640719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039631,"text":"sir20125120 - 2012 - Comparison of TOPMODEL streamflow simulations using NEXRAD-based and measured rainfall data, McTier Creek watershed, South Carolina","interactions":[],"lastModifiedDate":"2017-01-17T17:47:11","indexId":"sir20125120","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","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":"2012-5120","title":"Comparison of TOPMODEL streamflow simulations using NEXRAD-based and measured rainfall data, McTier Creek watershed, South Carolina","docAbstract":"Rainfall is an important forcing function in most watershed models. As part of a previous investigation to assess interactions among hydrologic, geochemical, and ecological processes that affect fish-tissue mercury concentrations in the Edisto River Basin, the topography-based hydrological model (TOPMODEL) was applied in the McTier Creek watershed in Aiken County, South Carolina. Measured rainfall data from six National Weather Service (NWS) Cooperative (COOP) stations surrounding the McTier Creek watershed were used to calibrate the McTier Creek TOPMODEL. Since the 1990s, the next generation weather radar (NEXRAD) has provided rainfall estimates at a finer spatial and temporal resolution than the NWS COOP network. For this investigation, NEXRAD-based rainfall data were generated at the NWS COOP stations and compared with measured rainfall data for the period June 13, 2007, to September 30, 2009. Likewise, these NEXRAD-based rainfall data were used with TOPMODEL to simulate streamflow in the McTier Creek watershed and then compared with the simulations made using measured rainfall data. NEXRAD-based rainfall data for non-zero rainfall days were lower than measured rainfall data at all six NWS COOP locations. The total number of concurrent days for which both measured and NEXRAD-based data were available at the COOP stations ranged from 501 to 833, the number of non-zero days ranged from 139 to 209, and the total difference in rainfall ranged from -1.3 to -21.6 inches. With the calibrated TOPMODEL, simulations using NEXRAD-based rainfall data and those using measured rainfall data produce similar results with respect to matching the timing and shape of the hydrographs. Comparison of the bias, which is the mean of the residuals between observed and simulated streamflow, however, reveals that simulations using NEXRAD-based rainfall tended to underpredict streamflow overall. Given that the total NEXRAD-based rainfall data for the simulation period is lower than the total measured rainfall at the NWS COOP locations, this bias would be expected. Therefore, to better assess the use of NEXRAD-based rainfall estimates as compared to NWS COOP rainfall data on the hydrologic simulations, TOPMODEL was recalibrated and updated simulations were made using the NEXRAD-based rainfall data. Comparisons of observed and simulated streamflow show that the TOPMODEL results using measured rainfall data and NEXRAD-based rainfall are comparable. Nonetheless, TOPMODEL simulations using NEXRAD-based rainfall still tended to underpredict total streamflow volume, although the magnitude of differences were similar to the simulations using measured rainfall. The McTier Creek watershed was subdivided into 12 subwatersheds and NEXRAD-based rainfall data were generated for each subwatershed. Simulations of streamflow were generated for each subwatershed using NEXRAD-based rainfall and compared with subwatershed simulations using measured rainfall data, which unlike the NEXRAD-based rainfall were the same data for all subwatersheds (derived from a weighted average of the six NWS COOP stations surrounding the basin). For the two simulations, subwatershed streamflow were summed and compared to streamflow simulations at two U.S. Geological Survey streamgages. The percentage differences at the gage near Monetta, South Carolina, were the same for simulations using measured rainfall data and NEXRAD-based rainfall. At the gage near New Holland, South Carolina, the percentage differences using the NEXRAD-based rainfall were twice as much as those using the measured rainfall. Single-mass curve comparisons showed an increase in the total volume of rainfall from north to south. Similar comparisons of the measured rainfall at the NWS COOP stations showed similar percentage differences, but the NEXRAD-based rainfall variations occurred over a much smaller distance than the measured rainfall. Nonetheless, it was concluded that in some cases, using NEXRAD-based rainfall data in TOPMODEL streamflow simulations may provide an effective alternative to using measured rainfall data. For this investigation, however, TOPMODEL streamflow simulations using NEXRAD-based rainfall data for both calibration and simulations did not show significant improvements with respect to matching observed streamflow over simulations generated using measured rainfall data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125120","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Feaster, T., Westcott, N.E., Hudson, R.J., Conrads, P., and Bradley, P.M., 2012, Comparison of TOPMODEL streamflow simulations using NEXRAD-based and measured rainfall data, McTier Creek watershed, South Carolina: U.S. Geological Survey Scientific Investigations Report 2012-5120, x, 33 p., https://doi.org/10.3133/sir20125120.","productDescription":"x, 33 p.","numberOfPages":"48","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":259706,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5120.gif"},{"id":259702,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5120/","linkFileType":{"id":5,"text":"html"}},{"id":259703,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5120/sir2012-5120.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Albers Equal Area","datum":"North American Datum 1983","country":"United States","state":"South Carolina","county":"Aiken County","otherGeospatial":"McTier Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.65,33.7 ], [ -81.65,33.88333333333333 ], [ -81.5,33.88333333333333 ], [ -81.5,33.7 ], [ -81.65,33.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f848e4b0c8380cd4cfbc","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westcott, Nancy E.","contributorId":95318,"corporation":false,"usgs":true,"family":"Westcott","given":"Nancy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":466640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Robert J.M.","contributorId":101135,"corporation":false,"usgs":true,"family":"Hudson","given":"Robert","email":"","middleInitial":"J.M.","affiliations":[],"preferred":false,"id":466641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466637,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039628,"text":"sir20125067 - 2012 - Geologic and mineralogic controls on acid and metal-rich rock drainage in an alpine watershed, Handcart Gulch, Colorado","interactions":[],"lastModifiedDate":"2017-09-26T09:45:08","indexId":"sir20125067","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","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":"2012-5067","title":"Geologic and mineralogic controls on acid and metal-rich rock drainage in an alpine watershed, Handcart Gulch, Colorado","docAbstract":"The surface and subsurface geology, hydrothermal alteration, and mineralogy of the Handcart Gulch area was studied using map and drill core data as part of a multidisciplinary approach to understand the hydrology and affects of geology on acid-rock drainage in a mineralized alpine watershed. Handcart Gulch was the locus of intense hydrothermal alteration that affected an area of nearly 3 square kilometers. Hydrothermal alteration and accompanied weak mineralization are spatially and genetically associated with small dacite to low-silica rhyolite stocks and plugs emplaced about 37-36 Ma. Felsic lithologies are commonly altered to a quartz-sericite-pyrite mineral assemblage at the surface, but alteration is more variable in the subsurface, ranging from quartz-sericite-pyrite-dominant in upper core sections to a propylitic variant that is more typical in deeper drill core intervals. Late-stage, hydrothermal argillic alteration [kaolinite and(or) smectite] was superimposed over earlier-formed alteration assemblages in the felsic rocks. Smectite in this late stage assemblage is mostly neoformed resulting from dissolution of chlorite, plagioclase, and minor illite in more weakly altered rocks. Hydrothermally altered amphibolites are characterized by biotitic alteration of amphibole, and subsequent alteration of both primary and secondary biotite to chlorite. Whereas pyrite is present both as disseminations and in small veinlets in the felsic lithologies, it is mostly restricted to small veinlets in the amphibolites. Base-metal sulfides including molybdenite, chalcopyrite, sphalerite, and galena are present in minor to trace amounts in the altered rocks. However, geologic data in conjunction with water geochemical studies indicate that copper mineralization may be present in unknown abundance in two distinct areas. The altered rocks contain an average of 8 weight percent fine pyrite that is largely devoid of metals in the crystal structure, which can be a significant source of trace metals in other areas with acid rock drainage. Thus, elevated base-metal concentrations in the trunk stream and discrete springs in the study area, as determined in previous studies, are likely derived from discrete metal-rich sources, rather than the abundant pyrite veins or disseminations. Pyrite is oxidized in nearly all outcrops examined. Drill core data show that zones of pyrite oxidation range in depth from 100 meters below the surface at higher elevations to just a few meters depth at the lowest elevations in the study area. However, discrete pyrite oxidation zones are present in drill core to depths of several hundred meters below the pervasive near-surface oxidation zones. These deeper discrete oxidation zones, which are present where fresh pyrite predominates, are spatially associated with fractures, small faults, and breccias. Quartz-sericite-pyrite-altered rocks containing unoxidized pyrite likely have the highest acid-generating capacity of all alteration assemblages in the study area. Hydrothermal alteration has left these rocks base-cation leached and thus acid-neutralizing potential is negligible. In contrast, propylitic-altered felsic rocks commonly contain trace to minor calcite and abundant chlorite, which provide some amount of acid-neutralization despite the presence of a few percent pyrite.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125067","usgsCitation":"Bove, D.J., Caine, J.S., and Lowers, H., 2012, Geologic and mineralogic controls on acid and metal-rich rock drainage in an alpine watershed, Handcart Gulch, Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5067, vi, 121 p.; col. ill.; maps (col.); Appendices; Downloads Directory, https://doi.org/10.3133/sir20125067.","productDescription":"vi, 121 p.; col. ill.; maps (col.); Appendices; Downloads Directory","startPage":"i","endPage":"121","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":259695,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5067.gif"},{"id":259688,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5067/","linkFileType":{"id":5,"text":"html"}},{"id":259689,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5067/SIR12-5067_508.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Colorado","otherGeospatial":"Handcart Gulch","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a18ffe4b0c8380cd5586f","contributors":{"authors":[{"text":"Bove, Dana J. dbove@usgs.gov","contributorId":4855,"corporation":false,"usgs":true,"family":"Bove","given":"Dana","email":"dbove@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":466626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":466627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":466625,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039641,"text":"sir20125135 - 2012 - Estimation of natural historical flows for the Manitowish River near Manitowish Waters, Wisconsin","interactions":[],"lastModifiedDate":"2018-02-06T12:26:43","indexId":"sir20125135","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","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":"2012-5135","title":"Estimation of natural historical flows for the Manitowish River near Manitowish Waters, Wisconsin","docAbstract":"The Wisconsin Department of Natural Resources is charged with oversight of dam operations throughout Wisconsin and is considering modifications to the operating orders for the Rest Lake Dam in Vilas County, Wisconsin. State law requires that the operation orders be tied to natural low flows at the dam. Because the presence of the dam confounds measurement of natural flows, the U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources, installed streamflow-gaging stations and developed two statistical methods to improve estimates of natural flows at the Rest Lake Dam. Two independent methods were used to estimate daily natural flow for the Manitowish River approximately 1 mile downstream of the Rest Lake Dam. The first method was an adjusted drainage-area ratio method, which used a regression analysis that related measured water yield (flow divided by watershed area) from short-term (2009&ndash;11) gaging stations upstream of the Manitowish Chain of Lakes to the water yield from two nearby long-term gaging stations in order to extend the flow record (1991&ndash;2011). In this approach, the computed flows into the Chain of Lakes at the upstream gaging stations were multiplied by a coefficient to account for the monthly hydrologic contributions (precipitation, evaporation, groundwater, and runoff) associated with the additional watershed area between the upstream gaging stations and the dam at the outlet of the Chain of Lakes (Rest Lake Dam). The second method used to estimate daily natural flow at the Rest Lake Dam was a water-budget approach, which used lake stage and dam outflow data provided by the dam operator. A water-budget model was constructed and then calibrated with an automated parameter-estimation program by matching simulated flow-duration statistics with measured flow-duration statistics at the upstream gaging stations. After calibration of the water-budget model, the model was used to compute natural flow at the dam from 1973 to 2011. Daily natural flows at the dam, as computed by the adjusted drainage-area ratio method and the water-budget method, were used to compute monthly flow-duration values for the period of historical data available for each method. Monthly flow-durations provide a means for evaluating the frequency and range in flows that have been observed for each month over the course of many years. Both methods described the pattern and timing of measured high-flow and low-flow events at the upstream gaging stations. The adjusted drainage-area ratio method generally had smaller residual errors across the full range of observed flows and had smaller monthly biases than the water-budget method. Although it is not possible to evaluate which method may be more \"correct\" for estimating monthly natural flows at the dam, comparisons between the results of each method indicate that the adjusted drainage-area ratio method may be susceptible to biases at high flows due to isolated storms outside of the Manitowish River watershed. Conversely, it appears that the water-budget method may be susceptible to biases at low flows because of its sensitivity to the accuracy of reported lake stage and outflows, as well as effects of upstream diversions that could not be fully compensated for with this method. Results from both methods are useful for understanding the natural flow patterns at the dam. Flows for both methods have similar patterns, with high median flows in spring and low median flows in late summer. Similarly, the range from monthly high-flow durations to low-flow durations increases during spring, decreases during summer, and increases again during fall. These seasonal patterns illustrate a challenge with interpreting a single value of natural low flow. That is, a natural low flow computed for September is not representative of a natural low flow in April. Moreover, alteration of natural flows caused by storing water in the Chain of Lakes during spring and releasing it in fall causes a change in the timing of high and low flows compared with natural conditions. That is, the lowest reported dam outflows occurred in spring and highest reported outflows occurred in fall, which is opposite the natural patterns.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125135","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Juckem, P.F., Reneau, P.C., and Robertson, D.M., 2012, Estimation of natural historical flows for the Manitowish River near Manitowish Waters, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2012-5135, vi, 32 p.; col. ill.; map (col.); Appendix, https://doi.org/10.3133/sir20125135.","productDescription":"vi, 32 p.; col. ill.; map (col.); Appendix","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":259724,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5135.jpg"},{"id":259716,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5135/","linkFileType":{"id":5,"text":"html"}},{"id":259717,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5135/pdf/sir2012-5135_web.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Manitowish River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b99e4b0c8380cd527c1","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042555,"text":"70042555 - 2012 - Tectonic setting of the Wooded Island earthquake swarm, eastern Washington","interactions":[],"lastModifiedDate":"2013-03-01T15:12:19","indexId":"70042555","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic setting of the Wooded Island earthquake swarm, eastern Washington","docAbstract":"Magnetic anomalies provide insights into the tectonic implications of a swarm of ~1500 shallow (~1 km deep) earthquakes that occurred in 2009 on the Hanford site,Washington. Epicenters were concentrated in a 2 km2 area nearWooded Island in the Columbia River. The largest earthquake (M 3.0) had first motions consistent with slip on a northwest-striking reverse fault. The swarm was accompanied by 35 mm of vertical surface deformation, seen in satellite interferometry (InSAR), interpreted to be caused by ~50 mm of slip on a northwest-striking reverse fault and associated bedding-plane fault in the underlying Columbia River Basalt Group (CRBG). A magnetic anomaly over exposed CRBG at Yakima Ridge 40 km northwest of Wooded Island extends southeastward beyond the ridge to the Columbia River, suggesting that the Yakima Ridge anticline and its associated thrust fault extend southeastward in the subsurface. In map view, the concealed anticline passes through the earthquake swarm and lies parallel to reverse faults determined from first motions and InSAR data. A forward model of the magnetic anomaly near Wooded Island is consistent with uplift of concealed CRBG, with the top surface <200 m below the surface. The earthquake swarm and the thrust and bedding-plane faults modeled from interferometry all fall within the northeastern limb of the faulted anticline. Although fluids may be responsible for triggering the Wooded Island earthquake swarm, the seismic and aseismic deformation are consistent with regional-scale tectonic compression across the concealed Yakima Ridge anticline.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GeoScienceWorld","publisherLocation":"Alexandria, VA","doi":"10.1785/0120110189","usgsCitation":"Blakely, R.J., Sherrod, B.L., Weaver, C.S., Rohay, A.C., and Wells, R., 2012, Tectonic setting of the Wooded Island earthquake swarm, eastern Washington: Bulletin of the Seismological Society of America, v. 102, no. 4, p. 1786-1795, https://doi.org/10.1785/0120110189.","productDescription":"10 p.","startPage":"1786","endPage":"1795","numberOfPages":"10","ipdsId":"IP-029586","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":268633,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110189"},{"id":268634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01611111111111111,0.0011111111111111111 ] ] ] } } ] }","volume":"102","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-08","publicationStatus":"PW","scienceBaseUri":"5131dc12e4b0140546f53c3a","contributors":{"authors":[{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","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":471804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L.","contributorId":16874,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohay, Alan C.","contributorId":8743,"corporation":false,"usgs":true,"family":"Rohay","given":"Alan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":2692,"corporation":false,"usgs":true,"family":"Wells","given":"Ray E.","email":"rwells@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":471806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039629,"text":"ofr20121165 - 2012 - Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California: 2011","interactions":[],"lastModifiedDate":"2012-08-18T01:01:45","indexId":"ofr20121165","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","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":"2012-1165","title":"Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California: 2011","docAbstract":"Trace-metal concentrations in sediment and in the clam Macoma petalum (formerly reported as Macoma balthica), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in South San Francisco Bay, Calif. This report includes the data collected by U.S. Geological Survey (USGS) scientists for the period January 2011 to December 2011. These data serve as the basis for the City of Palo Alto's Near-Field Receiving Water Monitoring Program, initiated in 1994. Following significant reductions in the late 1980s, silver (Ag) and copper (Cu) concentrations in sediment and M. petalum appear to have stabilized. Data for other metals, including chromium, mercury, nickel, selenium, and zinc, have been collected since 1994. Over this period, concentrations of these elements have remained relatively constant, aside from seasonal variation that is common to all elements. In 2011, concentrations of Ag and Cu in M. petalum varied seasonally in response to a combination of site-specific metal exposures and annual growth and reproduction, as reported previously. Seasonal patterns for other elements, including Cr, Hg, Ni, Se, and Zn, were generally similar in timing and magnitude as those for Ag and Cu. In 2011, metal concentrations in both sediments and clam tissue were among the lowest concentrations on record. This record suggests that regional-scale factors now largely control sedimentary and bioavailable concentrations of Ag and Cu, as well as other elements of regulatory interest, at the Palo Alto site. Analyses of the benthic community structure of a mudflat in South San Francisco Bay over a 38-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam, M. petalum, from the same area. Analysis of the M. petalum community shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable (2011), with almost all animals initiating reproduction in the fall and spawning the following spring. The community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that indicates a more stable community that is subjected to fewer stressors. In addition, two of the opportunistic species (Ampelisca abdita and Streblospio benedicti) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals; both species had short-lived rebounds in abundance in 2008, 2009, and 2010. Heteromastus filiformis (a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed a concurrent increase in dominance and, in the last several years before 2008, showed a stable population. H. filiformis abundance increased slightly in 2011. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for those deep-dwelling animals like Macoma petalum. Animals immediately returned to the mudflat in 2008, which was the first indication that the disturbance was not due to a persistent toxin or to anoxia. The reproductive mode of most species present in 2011 is reflective of the species that were available either as pelagic larvae or as mobile adults. Although egg layers were lower in number in this group, the authors hypothesize that these species will return slowly as more species move back into the area. The use of functional ecology was highlighted in the 2011 benthic community data, which show that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of animals that consume the sediment, filter feed, have pelagic larvae that must survive landing on the sediment, and brood their young. USGS scientists continue to observe the community's response to the 2008 defaunation event because it allows them to examine the response of the community to a natural disturbance (possible causes include sediment accretion or freshwater inundation) and compare this recovery to the long-term recovery observed in the 1970s when the decline in sediment pollutants was the dominating factor.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121165","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Dyke, J., Thompson, J.K., Cain, D.J., Kleckner, A.E., Parcheso, F., Luoma, S.N., and Hornberger, M.I., 2012, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California: 2011: U.S. Geological Survey Open-File Report 2012-1165, vii, 108 p.; col. ill.; Appendices; XLSX Download of Appendices 1-11, https://doi.org/10.3133/ofr20121165.","productDescription":"vii, 108 p.; col. ill.; Appendices; XLSX Download of Appendices 1-11","startPage":"i","endPage":"108","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":259694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1165.gif"},{"id":259691,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1165/of2012-1165_text.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259690,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1165/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a63f5e4b0c8380cd727b4","contributors":{"authors":[{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":466629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":466628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":466631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleckner, Amy E. kleckner@usgs.gov","contributorId":4258,"corporation":false,"usgs":true,"family":"Kleckner","given":"Amy","email":"kleckner@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":466634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":466633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":466632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":466630,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039624,"text":"70039624 - 2012 - Foraminiferal repopulation of the late Eocene Chesapeake Bay impact crater","interactions":[],"lastModifiedDate":"2012-08-18T01:01:45","indexId":"70039624","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Foraminiferal repopulation of the late Eocene Chesapeake Bay impact crater","docAbstract":"The Chickahominy Formation is the initial postimpact deposit in the 85km-diameter Chesapeake Bay impact crater, which is centered under the town of Cape Charles, Virginia, USA. The formation comprises dominantly microfossil-rich, silty, marine clay, which accumulated during the final ~1.6myr of late Eocene time. At cored sites, the Chickahominy Formation is 16.8-93.7m thick, and fills a series of small troughs and subbasins, which subdivide the larger Chickahominy basin. Nine coreholes drilled through the Chickahominy Formation (five inside the crater, two near the crater margin, and two ~3km outside the crater) record the stratigraphic and paleoecologic succession of 301 indigenous species of benthic foraminifera, as well as associated planktonic foraminifera and bolboformids. Two hundred twenty of these benthic species are described herein, and illustrated with scanning electron photomicrographs. Absence of key planktonic foraminiferal and Bolboforma species in early Chickahominy sediments indicates that detrimental effects of the impact also disturbed the upper oceanic water column for at least 80-100kyr postimpact. After an average of ~73kyr of stressed, rapidly fluctuating paleoenvironments, which were destabilized by after-effects of the impact, most of the cored Chickahominy subbasins maintained stable, nutrient-rich, low-oxygen bottom waters and interstitial microhabitats for the remaining ~1.3myr of late Eocene time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Micropaleontology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","publisherLocation":"Flushing, NY","usgsCitation":"Poag, C.W., 2012, Foraminiferal repopulation of the late Eocene Chesapeake Bay impact crater: Micropaleontology, v. 58, no. 1-2, 206 p.","productDescription":"206 p.","numberOfPages":"206","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259693,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryl;Virginia","otherGeospatial":"Chesapeake Bay","volume":"58","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a130ae4b0c8380cd544c9","contributors":{"authors":[{"text":"Poag, C. Wylie 0000-0002-6240-4065 wpoag@usgs.gov","orcid":"https://orcid.org/0000-0002-6240-4065","contributorId":2565,"corporation":false,"usgs":true,"family":"Poag","given":"C.","email":"wpoag@usgs.gov","middleInitial":"Wylie","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466616,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}