Daytime use by wintering waterfowl at Wetlands Reserve Program (WRP) sites within the northern Central Valley of California (CVC) increased dramatically after wetland restoration and was sustained for up to 8 years post-restoration. The magnitude of the increase in waterfowl density at WRP sites after wetland restoration was greater with greater densities of birds in the local area before restoration, lower amount of surrounding wetland habitat within a 1.5-km radius, greater increase in flooding after restoration, and closer proximity to flooded rice fields. Estimates of waterfowl distribution within areas sampled by weather surveillance radar suggest that 18 percent of wintering waterfowl use the more than 67,900 acres of restored and unrestored land enrolled in the WRP. Restored wetland habitat within WRP sites made up about 8 percent (30,360 acres) of the total wetland habitat within the CVC in 2007. Waterfowl use of flooded rice fields during the daytime and during wetter winters nearly tripled from 1995 to 2007 relative to use of natural wetland habitats. Recommendations An additional 104,000 acres of seasonal wetland restoration are needed to meet waterfowl conservation objectives in the CVC ( Central Valley Joint Venture 2006). Active restoration of hydrology and moist-soil management on WRP sites can help meet this objective. Waterfowl use of WRP sites can also be improved by locating sites close to flooded rice fields within local landscapes that have high pre-existing waterfowl abundance and relatively little wetland habitat. The assessment team developed spatially explicit decision support tools for prioritizing future WRP enrollments. The tools map the predicted post-restoration magnitude of waterfowl use based on site and local landscape variables.
","language":"English","publisher":"CEAP Conservation Insight (NRCS)","publisherLocation":"Reston, VA","usgsCitation":"Buler, J.J., Barrow, W., and Randall, L.A., 2012, Wintering waterfowl respond to Wetlands Reserve Program lands in the Central Valley of California: CEAP Conservation Insight, 7 p.","productDescription":"7 p.","ipdsId":"IP-033833","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":366966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366965,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1048508.pdf"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.95349121093749,\n 37.79676317682161\n ],\n [\n -120.7672119140625,\n 37.79676317682161\n ],\n [\n -120.7672119140625,\n 40.451127265872316\n ],\n [\n -122.95349121093749,\n 40.451127265872316\n ],\n [\n -122.95349121093749,\n 37.79676317682161\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buler, Jeffrey J.","contributorId":194648,"corporation":false,"usgs":false,"family":"Buler","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":769368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrow, Wylie C. Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":769369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":769370,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042217,"text":"sir20125262 - 2012 - Assessing potential effects of changes in water use with a numerical groundwater-flow model of Carson Valley, Douglas County, Nevada, and Alpine County, California","interactions":[],"lastModifiedDate":"2012-12-28T13:48:13","indexId":"sir20125262","displayToPublicDate":"2012-12-28T00:00:00","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":"2012-5262","title":"Assessing potential effects of changes in water use with a numerical groundwater-flow model of Carson Valley, Douglas County, Nevada, and Alpine County, California","docAbstract":"Rapid growth and development within Carson Valley in Douglas County, Nevada, and Alpine County, California, has caused concern over the continued availability of groundwater, and whether the increased municipal demand could either impact the availability of water or result in decreased flow in the Carson River. Annual pumpage of groundwater has increased from less than 10,000 acre feet per year (acre-ft/yr) in the 1970s to about 31,000 acre-ft/yr in 2004, with most of the water used in agriculture. Municipal use of groundwater totaled about 10,000 acre-feet in 2000. In comparison, average streamflow entering the valley from 1940 to 2006 was 344,100 acre-ft/yr, while average flow exiting the valley was 297,400 acre-ft/yr. Carson Valley is underlain by semi-consolidated Tertiary sediments that are exposed on the eastern side and dip westward. Quaternary fluvial and alluvial deposits overlie the Tertiary sediments in the center and western side of the valley. The hydrology of Carson Valley is dominated by the Carson River, which supplies irrigation water for about 39,000 acres of farmland and maintains the water table less than 5 feet (ft) beneath much of the valley floor. Perennial and ephemeral watersheds drain the Carson Range and the Pine Nut Mountains, and mountain-front recharge to the groundwater system from these watersheds is estimated to average 36,000 acre-ft/yr. Groundwater in Carson Valley flows toward the Carson River and north toward the outlet of the Carson Valley. An upward hydraulic gradient exists over much of the valley, and artesian wells flow at land surface in some areas. Water levels declined as much as 15 ft since 1980 in some areas on the eastern side of the valley. Median estimated transmissivities of Quaternary alluvial-fan and fluvial sediments, and Tertiary sediments are 316; 3,120; and 110 feet squared per day (ft2/d), respectively, with larger transmissivity values in the central part of the valley and smaller values near the valley margins. A groundwater-flow model of Quaternary and Tertiary sediments in Carson Valley was developed using MODFLOW and calibrated to simulate historical conditions from water years 1971 through 2005. The 35-year transient simulation represented quarterly changes in precipitation, streamflow, pumping and irrigation. Inflows to the groundwater system simulated in the model include mountain-front recharge from watersheds in the Carson Range and Pine Nut Mountains, valley recharge from precipitation and land application of wastewater, agricultural recharge from irrigation, and septic-tank discharge. Outflows from the groundwater system simulated in the model include evapotranspiration from the water table and groundwater withdrawals for municipal, domestic, irrigation and other water supplies. The exchange of water between groundwater, the Carson River, and the irrigation system was represented with a version of the Streamflow Routing (SFR) package that was modified to apply diversions from the irrigation network to irrigated areas as recharge. The groundwater-flow model was calibrated through nonlinear regression with UCODE to measured water levels and streamflow to estimate values of hydraulic conductivity, recharge and streambed hydraulic-conductivity that were represented by 18 optimized parameters. The aquifer system was simulated as confined to facilitate numerical convergence, and the hydraulic conductivity of the top active model layers that intersect the water table was multiplied by a factor to account for partial saturation. Storage values representative of specific yield were specified in parts of model layers where unconfined conditions are assumed to occur. The median transmissivity (T) values (11,000 and 800 ft2/d for the fluvial and alluvial-fan sediments, respectively) are both within the third quartile of T values estimated from specific-capacity data, but T values for Tertiary sediments are larger than the third quartile estimated from specific-capacity data. The estimated vertical anisotropy for the Quaternary fluvial sediments (9,000) is comparable to the value estimated for a previous model of Carson Valley. The estimated total volume of mountain-front recharge is equivalent to a previous estimate from the Precipitation-Runoff Modeling System (PRMS) watershed models, but less recharge is estimated for the Carson Range and more recharge is estimated for the Pine Nut Mountains than the previous estimate. Simulated flow paths indicate that groundwater flows faster through the center of Carson Valley and slower through the lower hydraulic-conductivity Tertiary sediments to the east. Shallow flow in the center of the valley is towards drainage channels, but deeper flow is generally directed toward the basin outlet to the north. The aquifer system is in a dynamic equilibrium with large inflows from storage in dry years and large outflows to storage in wet years. Pumping has historically been less than 10 percent of outflows from the groundwater system, and agricultural recharge has been less than 10 percent of inflows to the groundwater system. Three principal sources of uncertainty that affect model results are: (1) the hydraulic characteristics of the Tertiary sediments on the eastern side of the basin, (2) the composition of sediments beneath the alluvial fans and (3) the extent of the confining unit represented within fluvial sediments in the center of the basin. The groundwater-flow model was used in five 55-year predictive simulations to evaluate the long-term effects of different water-use scenarios on water-budget components, groundwater levels, and streamflow in the Carson River. The predictive simulations represented water years 2006 through 2060 using quarterly stress periods with boundary conditions that varied cyclically to represent the transition from wet to dry conditions observed from water years 1995 through 2004. The five scenarios included a base scenario with 2005 pumping rates held constant throughout the simulation period and four other scenarios using: (1) pumping rates increased by 70 percent, including an additional 1,340 domestic wells, (2A) pumping rates more than doubled with municipal pumping increased by a factor of four over the base scenario, (2B) pumping rates of 2A with 2,040 fewer domestic wells, and (3) pumping rates of 2A with 3,700 acres removed from irrigation. The 55-year predictive simulations indicate that increasing groundwater withdrawals under the scenarios considered would result in as much as 40 ft and 60 ft of water-table decline on the west and east sides of Carson Valley, respectively. The water table in the central part of the valley would remain essentially unchanged, but water-level declines of as much as 30 ft are predicted for the deeper, confined aquifer. The increased withdrawals would reduce the volume of groundwater storage and decrease the mean downstream flow in the Carson River by as much as 16,500 acre-ft/yr. If, in addition, 3,700 acres were removed from irrigation, the reduction in mean downstream flow in the Carson River would be only 6,500 acre-ft/yr. The actual amount of flow reduction is uncertain because of potential changes in irrigation practices that may not be accounted for in the model. The projections of the predictive simulations are sensitive to rates of mountain-front recharge specified for the Carson Range and the Pine Nut Mountains. The model provides a tool that can be used to aid water managers and planners in making informed decisions. A prudent management approach would include continued monitoring of water levels on both the east and west sides of Carson Valley to either verify the predictions of the groundwater-flow model or to provide additional data for recalibration of the model if the predictions prove inaccurate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125262","collaboration":"Prepared in cooperation with the Carson Water Subconservancy District","usgsCitation":"Yager, R.M., Maurer, D.K., and Mayers, C., 2012, Assessing potential effects of changes in water use with a numerical groundwater-flow model of Carson Valley, Douglas County, Nevada, and Alpine County, California: U.S. Geological Survey Scientific Investigations Report 2012-5262, x, 84 p., https://doi.org/10.3133/sir20125262.","productDescription":"x, 84 p.","numberOfPages":"98","additionalOnlineFiles":"N","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":264890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5262.jpg"},{"id":264888,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5262/"},{"id":264889,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5262/pdf/sir2012-5262.pdf"}],"country":"United States","state":"California;Nevada","county":"Alpine;Churchill;Douglas;Storey;Washoe","otherGeospatial":"Carson River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,38.25 ], [ -120.0,40.5 ], [ -118.0,40.5 ], [ -118.0,38.25 ], [ -120.0,38.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe1e4b0a4aa5bb0ae7d","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":471008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maurer, Douglas K. dkmaurer@usgs.gov","contributorId":2308,"corporation":false,"usgs":true,"family":"Maurer","given":"Douglas","email":"dkmaurer@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":471009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayers, C.J.","contributorId":17410,"corporation":false,"usgs":true,"family":"Mayers","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":471010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041991,"text":"70041991 - 2012 - Thermal and hydrologic suitability of Lake Erie and its major tributaries for spawning of Asian carps","interactions":[],"lastModifiedDate":"2012-12-26T14:35:57","indexId":"70041991","displayToPublicDate":"2012-12-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Thermal and hydrologic suitability of Lake Erie and its major tributaries for spawning of Asian carps","docAbstract":"Bighead carp Hypophthalmichthys nobilis, silver carp H. molitrix, and grass carp Ctenopharyngodon idella (hereafter Asian carps) have expanded throughout the Mississippi River basin and threaten to invade Lakes Michigan and Erie. Adult bighead carp and grass carp have been captured in Lake Erie, but self-sustaining populations probably do not exist. We examined thermal conditions within Lake Erie to determine if Asian carps would mature, and to estimate time of year when fish would reach spawning condition. We also examined whether thermal and hydrologic conditions in the largest tributaries to western and central Lake Erie were suitable for spawning of Asian carps. We used length of undammed river, predicted summer temperatures, and predicted water velocity during flood events to determine whether sufficient lengths of river are available for spawning of Asian carps. Most rivers we examined have at least 100 km of passable river and summer temperatures suitable (> 21 C) for rapid incubation of eggs of Asian carps. Predicted water velocity and temperature were sufficient to ensure that incubating eggs, which drift in the water column, would hatch before reaching Lake Erie for most flood events in most rivers if spawned far enough upstream. The Maumee, Sandusky, and Grand Rivers were predicted to be the most likely to support spawning of Asian carps. The Black, Huron, Portage, and Vermilion Rivers were predicted to be less suitable. The weight of the evidence suggests that the largest western and central Lake Erie tributaries are thermally and hydrologically suitable to support spawning of Asian carps.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2011.11.015","usgsCitation":"Kocovsky, P., Chapman, D., and McKenna, J., 2012, Thermal and hydrologic suitability of Lake Erie and its major tributaries for spawning of Asian carps: Journal of Great Lakes Research, v. 38, no. 1, p. 159-166, https://doi.org/10.1016/j.jglr.2011.11.015.","productDescription":"8 p.","startPage":"159","endPage":"166","ipdsId":"IP-033299","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264791,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.11.015"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.48,41.4 ], [ -83.48,43.26 ], [ -78.85,43.26 ], [ -78.85,41.4 ], [ -83.48,41.4 ] ] ] } } ] }","volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e54cf0e4b0a4aa5bb0114e","contributors":{"authors":[{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":470545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":470543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":470544,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042089,"text":"70042089 - 2012 - Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses","interactions":[],"lastModifiedDate":"2012-12-25T17:04:40","indexId":"70042089","displayToPublicDate":"2012-12-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses","docAbstract":"Much is known about invertebrate community traits in basins across Europe, but no comprehensive description of traits exists for the continental US. Little is known about the trait composition of invertebrates in reference or least-disturbed basins of the US, how trait composition varies among ecoregions, or how consistently traits respond to land use. These elements are essential to development of trait-based tools for conservation and assessment of biological integrity. We compared invertebrate traits of least-disturbed basins among ecoregions of the US. Benthic invertebrate data (presence/absence) from 1987 basins were translated into 56 binary traits (e.g., bivoltine, clinger). Basins were classified as least-disturbed, agricultural, or urban, and grouped into 9 ecoregions. Landuse, climatic, physiographic, and hydrologic data were used to describe ecoregions and to evaluate least-disturbed basin quality. The unique habitat template of each ecoregion selected for trait compositions in least-disturbed basins that differed among ecoregions. Among the traits examined, life-history (e.g., voltinism, development) and ecological traits (e.g., rheophily, thermal preference) differed most among ecoregions. Agricultural and urban land uses selected for trait compositions that differed from least-disturbed, but the extent of the differences depended on ecoregion and quality of the least-disturbed basins. No trait compositions unique to specific land uses were found. However, a disturbance syndrome was observed in that the magnitude and direction of trait responses to urban and agricultural land uses were consistent among ecoregions. Each ecoregion had a unique trait composition, but trait compositions could be used to aggregate ecoregions into 3 broad regions: Western Mountains, Plains and Lowlands, and Eastern Highlands. Our results indicate that large-scale trait-based assessment tools for the US will require calibration to account for regional differences in the trait composition of basins and in the quality of least-disturbed basins.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Freshwater Science","publisherLocation":"Waco, TX","doi":"10.1899/11-150.1","usgsCitation":"Zuellig, R.E., and Schmidt, T., 2012, Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses: Freshwater Science, v. 31, no. 4, p. 1042-1056, https://doi.org/10.1899/11-150.1.","productDescription":"15 p.","startPage":"1042","endPage":"1056","ipdsId":"IP-029576","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":474190,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/11-150.1","text":"External Repository"},{"id":264774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264772,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-150.1"},{"id":264773,"type":{"id":11,"text":"Document"},"url":"https://www.bioone.org/doi/pdf/10.1899/11-150.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe7e4b0a4aa5bb0ae9c","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":470756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042065,"text":"70042065 - 2012 - Estimating seasonal evapotranspiration from temporal satellite images","interactions":[],"lastModifiedDate":"2012-12-23T22:33:39","indexId":"70042065","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2110,"text":"Irrigation Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating seasonal evapotranspiration from temporal satellite images","docAbstract":"Estimating seasonal evapotranspiration (ET) has many applications in water resources planning and management, including hydrological and ecological modeling. Availability of satellite remote sensing images is limited due to repeat cycle of satellite or cloud cover. This study was conducted to determine the suitability of different methods namely cubic spline, fixed, and linear for estimating seasonal ET from temporal remotely sensed images. Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC) model in conjunction with the wet METRIC (wMETRIC), a modified version of the METRIC model, was used to estimate ET on the days of satellite overpass using eight Landsat images during the 2001 crop growing season in Midwest USA. The model-estimated daily ET was in good agreement (R2 = 0.91) with the eddy covariance tower-measured daily ET. The standard error of daily ET was 0.6 mm (20%) at three validation sites in Nebraska, USA. There was no statistically significant difference (P > 0.05) among the cubic spline, fixed, and linear methods for computing seasonal (July–December) ET from temporal ET estimates. Overall, the cubic spline resulted in the lowest standard error of 6 mm (1.67%) for seasonal ET. However, further testing of this method for multiple years is necessary to determine its suitability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Irrigation Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00271-011-0287-z","usgsCitation":"Singh, R.K., Liu, S., Tieszen, L.L., Suyker, A.E., and Verma, S., 2012, Estimating seasonal evapotranspiration from temporal satellite images: Irrigation Science, v. 30, no. 4, p. 303-313, https://doi.org/10.1007/s00271-011-0287-z.","productDescription":"11 p.","startPage":"303","endPage":"313","ipdsId":"IP-021931","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264759,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00271-011-0287-z"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-30","publicationStatus":"PW","scienceBaseUri":"50db870de4b061270600c358","contributors":{"authors":[{"text":"Singh, Ramesh K. 0000-0002-8164-3483 rsingh@usgs.gov","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":3895,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"rsingh@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":470726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":470725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suyker, Andrew E.","contributorId":46857,"corporation":false,"usgs":true,"family":"Suyker","given":"Andrew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verma, Shashi B.","contributorId":76202,"corporation":false,"usgs":true,"family":"Verma","given":"Shashi B.","affiliations":[],"preferred":false,"id":470728,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042120,"text":"tm4F4 - 2012 - Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-in","interactions":[],"lastModifiedDate":"2022-04-26T19:05:49.744279","indexId":"tm4F4","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-F4","title":"Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-in","docAbstract":"Water-level modeling is used for multiple-well aquifer tests to reliably differentiate pumping responses from natural water-level changes in wells, or “environmental fluctuations.” Synthetic water levels are created during water-level modeling and represent the summation of multiple component fluctuations, including those caused by environmental forcing and pumping. Pumping signals are modeled by transforming step-wise pumping records into water-level changes by using superimposed Theis functions. Water-levels can be modeled robustly with this Theis-transform approach because environmental fluctuations and pumping signals are simulated simultaneously. Water-level modeling with Theis transforms has been implemented in the program SeriesSEE, which is a Microsoft® Excel add-in. Moving average, Theis, pneumatic-lag, and gamma functions transform time series of measured values into water-level model components in SeriesSEE. Earth tides and step transforms are additional computed water-level model components. Water-level models are calibrated by minimizing a sum-of-squares objective function where singular value decomposition and Tikhonov regularization stabilize results. Drawdown estimates from a water-level model are the summation of all Theis transforms minus residual differences between synthetic and measured water levels. The accuracy of drawdown estimates is limited primarily by noise in the data sets, not the Theis-transform approach. Drawdowns much smaller than environmental fluctuations have been detected across major fault structures, at distances of more than 1 mile from the pumping well, and with limited pre-pumping and recovery data at sites across the United States. In addition to water-level modeling, utilities exist in SeriesSEE for viewing, cleaning, manipulating, and analyzing time-series data.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section F: Groundwater in Book 4:Hydrologic Analysis and Interpretation","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4F4","collaboration":"U. S. Department of Energy, National Nuclear Security Administration, Environmental Restoration Program, Underground Test Area Project","usgsCitation":"Halford, K., Garcia, C.A., Fenelon, J., and Mirus, B., 2012, Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-In, (ver. 1.1, July, 2016): U.S. Geological Survey Techniques and Methods 4–F4, 28 p., https://dx.doi.org/10.3133/tm4F4.","productDescription":"Report: viii, 29 p.; Report Package; 5 Appendixes","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":399696,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98010.htm"},{"id":264743,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixE_PahuteMesaExample.zip","text":"Appendix E Pahute Mesa Example","size":"18.7","linkFileType":{"id":6,"text":"zip"}},{"id":264742,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixD_HypotheticalAquifer.zip","text":"Appendix D Hypothetical Aquifer","size":"15.1","linkFileType":{"id":6,"text":"zip"}},{"id":264741,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixC_Verification.zip","text":"Appendix C Verification","size":"3.2 MB","linkFileType":{"id":6,"text":"zip"}},{"id":325395,"rank":10,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/tm4-F4/versionHist.txt"},{"id":264736,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm4-F4/"},{"id":264737,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/tm4-F4.pdf","text":"Report PDF","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":264738,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/Release.v1.20_T+M_SeriesSEE_Appendixes.zip","text":"Complete Report Package","size":"83.1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264740,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixB_Codes-SeriesSEE.v1.20.zip","text":"Appendix B Codes-Series SEE.v1.20","size":"8.1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264739,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/tm4-F4/pdf/AppendixA_SeriesSEE.v.1.20.zip","text":"Appendix A Series SEE.v.1.20","size":"30.9 MB","linkFileType":{"id":6,"text":"zip"}},{"id":264744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/tm4-F4/images/coverthb.jpg"}],"edition":"Version 1.0: Originally posted December 2012; Version 1.1: July 2016","publicComments":"This report is Chapter 4 of Section F: Groundwater in Book 4:Hydrologic Analysis and Interpretation.","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 89701
http://nevada.usgs.gov/
USGS Techniques and Methods 4-F4: Advanced Methods for Modeling Water-Levels and Estimating Drawdowns with SeriesSEE, an Excel Add-In
\n","publishedDate":"2012-12-21","revisedDate":"2016-07-18","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"50e5cfdee4b0a4aa5bb0ae68","contributors":{"authors":[{"text":"Halford, Keith 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":74845,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","affiliations":[],"preferred":false,"id":470799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenelon, Joe","contributorId":70266,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joe","email":"","affiliations":[],"preferred":false,"id":470798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mirus, Benjamin B.","contributorId":12348,"corporation":false,"usgs":false,"family":"Mirus","given":"Benjamin","email":"","middleInitial":"B.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":470797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042112,"text":"sir20125278 - 2012 - Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11","interactions":[],"lastModifiedDate":"2016-08-05T16:22:41","indexId":"sir20125278","displayToPublicDate":"2012-12-22T00:00:00","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":"2012-5278","title":"Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11","docAbstract":"
The U.S. Geological Survey, in cooperation with the San Antonio Water System, examined groundwater-level altitudes (groundwater levels) and water-quality data pertaining to the Austin Group in Bexar County, Texas, during 2009–11. Hydrologic data collected included daily mean groundwater levels collected at seven sites in the study area. Water-quality samples were collected at six sites in the study area and analyzed for major ions, nutrients, trace elements, organic carbon, and stable isotopes. The resulting datasets were examined for similarities between sites as well as similarities to data from the Edwards aquifer in Bexar County, Tex. Similarities in the groundwater levels between sites completed in the Austin Group and site J (State well AY-68-37-203; hereafter referred to as the “Bexar County index well”) which is completed in the Edwards aquifer might be indicative of groundwater interactions between the two hydrologic units as a result of nearby faulting or conduit flow. The groundwater levels measured at the sites in the study area exhibited varying degrees of similarity to the Bexar County index well. Groundwater levels at site A (State well AY-68-36-136) exhibited similar patterns as those at the Bexar County index well, but the hydrographs of groundwater levels were different in shape and magnitude in response to precipitation and groundwater pumping, and at times slightly offset in time. The groundwater level patterns measured at sites C, D, and E (State wells AY-68-29-513, AY-68-29-514, and AY-68-29-512, respectively) were not similar to those measured at the Bexar County index well. Groundwater levels at site F (State well AY-68-29-819) exhibited general similarities as those observed at the Bexar County index well; however, there were several periods of notable groundwater-level drawdowns at site F that were not evident at the Bexar County index well. These drawdowns were likely because of pumping from the well at site F. The groundwater levels at sites H and I (State wells AY-68-37-205 and AY-68-29-932, respectively) exhibited similar patterns as those at the Bexar County index well (coefficient of determination [R2] of 0.99 at both wells), indicating there might be some degree of hydrologic connectivity to the Edwards aquifer.
\nIn general, the water-quality data indicated that the samples were representative of a calcium carbonate dominated system. The major ion chemistry and relations between magnesium to calcium molar ratios and 87Sr/86Sr isotopic ratios of samples collected from sites H and I indicated that the groundwater from these sites was most geochemically similar to groundwater collected from site B (State well AY-68-36-134), which is representative of groundwater in the Edwards aquifer. Of the sites sampled in this study, there appears to be varying hydrologic connectivity between groundwater from wells completed in the Austin Group and the Edwards aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125278","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Banta, J., and Clark, A., 2012, Groundwater levels and water-quality observations pertaining to the Austin Group, Bexar County, Texas, 2009-11: U.S. Geological Survey Scientific Investigations Report 2012-5278, Document: iv, 18 p.; Appendix, https://doi.org/10.3133/sir20125278.","productDescription":"Document: iv, 18 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042184","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5278.png"},{"id":264722,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5278/"},{"id":264723,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5278/pdf/sir2012-5278.pdf"},{"id":264729,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5278/downloads/sir2012-5278_app.xlsx"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8056,29.1104 ], [ -98.8056,29.7606 ], [ -98.1193,29.7606 ], [ -98.1193,29.1104 ], [ -98.8056,29.1104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50de68d3e4b0e31bb02a2995","contributors":{"authors":[{"text":"Banta, J.R.","contributorId":26598,"corporation":false,"usgs":true,"family":"Banta","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":470782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Allan K. 0000-0003-0099-1521","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":79775,"corporation":false,"usgs":true,"family":"Clark","given":"Allan K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470783,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041973,"text":"tm7C7 - 2012 - Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization","interactions":[],"lastModifiedDate":"2012-12-20T09:12:25","indexId":"tm7C7","displayToPublicDate":"2012-12-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C7","title":"Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization","docAbstract":"The TSPROC (Time Series PROCessor) computer software uses a simple scripting language to process and analyze time series. It was developed primarily to assist in the calibration of environmental models. The software is designed to perform calculations on time-series data commonly associated with surface-water models, including calculation of flow volumes, transformation by means of basic arithmetic operations, and generation of seasonal and annual statistics and hydrologic indices. TSPROC can also be used to generate some of the key input files required to perform parameter optimization by means of the PEST (Parameter ESTimation) computer software. Through the use of TSPROC, the objective function for use in the model-calibration process can be focused on specific components of a hydrograph.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C7","collaboration":"Great Lakes Restoration Initiative","usgsCitation":"Westenbroek, S.M., Doherty, J., Walker, J.F., Kelson, V.A., Hunt, R.J., and Cera, T.B., 2012, Approaches in highly parameterized inversion: TSPROC, a general time-series processor to assist in model calibration and result summarization: U.S. Geological Survey Techniques and Methods 7-C7, Report: viii, 101 p.; Download Software, https://doi.org/10.3133/tm7C7.","productDescription":"Report: viii, 101 p.; Download Software","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":264662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_c7.gif"},{"id":264659,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7c7/"},{"id":264661,"type":{"id":7,"text":"Companion Files"},"url":"https://wi.water.usgs.gov/models/tsproc/index.html"},{"id":264660,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm7c7/pdf/TM7_C7_112712.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391b7e4b062c7914ebd82","contributors":{"authors":[{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, John","contributorId":43843,"corporation":false,"usgs":true,"family":"Doherty","given":"John","affiliations":[],"preferred":false,"id":470515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelson, Victor A.","contributorId":41713,"corporation":false,"usgs":true,"family":"Kelson","given":"Victor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cera, Timothy B.","contributorId":79771,"corporation":false,"usgs":true,"family":"Cera","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":470516,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70041934,"text":"sir20125122 - 2012 - Simulation of groundwater flow and hydrologic effects of groundwater withdrawals from the Kirkwood-Cohansey aquifer system in the Pinelands of southern New Jersey","interactions":[],"lastModifiedDate":"2012-12-19T13:01:59","indexId":"sir20125122","displayToPublicDate":"2012-12-19T00:00:00","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":"2012-5122","title":"Simulation of groundwater flow and hydrologic effects of groundwater withdrawals from the Kirkwood-Cohansey aquifer system in the Pinelands of southern New Jersey","docAbstract":"The Kirkwood-Cohansey aquifer system is an important source of present and future water supply in southern New Jersey. Because this unconfined aquifer system also supports sensitive wetland and aquatic habitats within the New Jersey Pinelands (Pinelands), water managers and policy makers need up-to-date information, data, and projections that show the effects of potential increases in groundwater withdrawals on these habitats. Finite-difference groundwater flow models (MODFLOW) were constructed for three drainage basins (McDonalds Branch Basin, 14.3 square kilometers (km2); Morses Mill Stream Basin, 21.63 km2; and Albertson Brook Basin, 52.27 km2) to estimate the effects of potential increases in groundwater withdrawals on water levels and the base-flow portion of streamflow, in wetland and aquatic habitats. Three models were constructed for each drainage basin: a transient model consisting of twenty-four 1-month stress periods (October 2004 through September 2006); a transient model to simulate the 5- to 10-day aquifer tests that were performed as part of the study; and a high-resolution, steady-state model used to assess long-term effects of increased groundwater withdrawals on water levels in wetlands and on base flow. All models were constructed with the same eight-layer structure. The smallest horizontal cell dimensions among the three model areas were 150 meters (m) for the 24-month transient models, 10 m for the steady-state models, and 3 m for the transient aquifer-test models. Boundary flows of particular interest to this study and represented separately are those for wetlands, streams, and evapotranspiration. The final variables calibrated from both transient models were then used in steady-state models to assess the long-term effects of increased groundwater withdrawals on water levels in wetlands and on base flow. Results of aquifer tests conducted in the three study areas illustrate the effects of withdrawals on water levels in wetlands and on base flow. Pumping stresses at aquifer-test sites resulted in measurable drawdown in each observation well installed for the tests. The magnitude of drawdown in shallow wetland observation wells at the end of pumping ranged from 5.5 to 16.7 centimeters (cm). The stresses induced by the respective tests reduced the flow of the smallest stream (McDonalds Branch) by 75 percent and slightly reduced flow in a side channel of Morses Mill Stream, but did not measurably affect the flow of Morses Mill Stream or Albertson Brook. Results of aquifer-test simulations were used to refine the estimates of hydraulic properties used in the models and to confirm the ability of the model to replicate observed hydrologic responses to pumping. Steady-state sensitivity simulation results for a variety of single well locations and depths were used to define overall “best-case” (smallest effect on wetland water levels and base flow) and “worst-case” (greatest effect on wetland water levels and base flow) groundwater withdrawal configurations. “Best-case” configurations are those for which the extent of the wetland areas within a 1-kilometer (km) radius of the withdrawal well is minimized, the well is located at least 100 m and as far from wetland boundaries as possible, and the withdrawal is from a deep well (50–90 m deep). “Worst-case” configurations are those for which the extent of wetlands within a 1-km radius of the withdrawal well is maximized, the well is located 100 m or less from a wetland boundary, and the withdrawal is from a relatively shallow well (30–67 m deep). “Best-” and “worst-case” simulations were applied by locating hypothetical wells across the study areas and assigning groundwater withdrawals so that the sum of the withdrawals for the basin is equal to 5, 10, 15, and 30 percent of overall recharge. The results were compared to the results of simulations of no groundwater withdrawals. Results for withdrawals of 5 percent of recharge show that the area of wetland water-level decline that exceeded 15 cm was as much as 1.5 percent of the total wetland area for the “best-case” simulations and as much as 9.7 percent of the total wetland area for the “worst-case” simulations. For the same withdrawals, base-flow reduction was as much as 5.1 percent for the “best-case” simulations and as much as 8.6 percent for the “worst-case” simulations. Results for withdrawals of 30 percent of recharge show that the area of wetland water-level decline that exceeded 15 cm was as much as 70 percent of the total wetland area for the “best-case” simulations and as much as 84 percent of the total wetland area for the “worst-case” simulations. For the same withdrawals, base-flow reduction was as much as 30 percent for the “best-case” simulations and as much as 51 percent for the “worst-case” simulations. Results for withdrawals of 10 and 15 percent of recharge show decreased water levels and base flow that are intermediate between those simulated for 5 and 30 percent of recharge. Several approaches for applying the results of this study to other parts of the Pinelands were explored. An analytical-modeling technique based on the Thiem equation and image-well theory was developed to estimate local drawdown distributions resulting from withdrawals in other areas within the Pinelands. Results of example applications of this technique were compared with those of the numerical simulations used in this study and were shown to be useful. Differences among the three basins in the simulated percentage of basin wetlands affected by drawdown were found to be related to the proximity of wetlands to streams, the proximity of wetlands to pumped wells, and the vertical conductance of the aquifer system. These factors formed the basis for an index of wetland vulnerability to drawdown. An empirically-derived model based on the Gompertz function and the wetland vulnerability index was developed, tested, and shown to be an effective means to evaluate potential drawdown in wetlands at a basin scale throughout the Pinelands. Base-flow reduction can be estimated from generalized results of the numerical models, estimates of evapotranspiration reduction, or available regional groundwater flow models. These approaches could be used to evaluate alternative water-supply strategies and, in conjunction with ecological-modeling results, to determine maximum basin withdrawal rates within the limits of acceptable ecological change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125122","collaboration":"Prepared in cooperation with the New Jersey Pinelands Commission","usgsCitation":"Charles, E.G., and Nicholson, R.S., 2012, Simulation of groundwater flow and hydrologic effects of groundwater withdrawals from the Kirkwood-Cohansey aquifer system in the Pinelands of southern New Jersey: U.S. Geological Survey Scientific Investigations Report 2012-5122, xviii, 219 p.; col. ill.; maps (col.); Apendices: 1-2, https://doi.org/10.3133/sir20125122.","productDescription":"xviii, 219 p.; col. ill.; maps (col.); Apendices: 1-2","startPage":"i","endPage":"219","numberOfPages":"242","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":264138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5122.png"},{"id":264136,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5122/"},{"id":264137,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5122/support/sir2012-5122.pdf"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5598,38.9286 ], [ -75.5598,41.3574 ], [ -73.9025,41.3574 ], [ -73.9025,38.9286 ], [ -75.5598,38.9286 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d391d5e4b062c7914ebd9d","contributors":{"authors":[{"text":"Charles, Emmanuel G. 0000-0002-3338-4958 echarles@usgs.gov","orcid":"https://orcid.org/0000-0002-3338-4958","contributorId":4280,"corporation":false,"usgs":true,"family":"Charles","given":"Emmanuel","email":"echarles@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Robert S. rnichol@usgs.gov","contributorId":2283,"corporation":false,"usgs":true,"family":"Nicholson","given":"Robert","email":"rnichol@usgs.gov","middleInitial":"S.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041949,"text":"70041949 - 2012 - Contemporary seismicity in and around the Yakima-Fold-and-Thrust Belt in eastern Washington","interactions":[],"lastModifiedDate":"2020-09-11T17:51:07.660356","indexId":"70041949","displayToPublicDate":"2012-12-19T00:00:00","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":"Contemporary seismicity in and around the Yakima-Fold-and-Thrust Belt in eastern Washington","docAbstract":"We examined characteristics of routinely cataloged seismicity from 1970 to the present in and around the Yakima fold‐and‐thrust belt (YFTB) in eastern Washington to determine if the characteristics of contemporary seismicity provide clues about regional‐scale active tectonics or about more localized, near‐surface processes. We employed new structural and hydrologic models of the Columbia River basalts (CRB) and found that one‐third to one‐half of the cataloged earthquakes occur within the CRB and that these CRB earthquakes exhibit significantly more clustered, and swarmlike, behavior than those outside. These results and inferences from published studies led us to hypothesize that clustered seismicity is likely associated with hydrologic changes in the CRB, which hosts the regional aquifer system. While some general features of the regional groundwater system support this hypothesis, seismicity patterns and mapped long‐term changes in groundwater levels and present‐day irrigation neither support nor refute it. Regional tectonic processes and crustal‐scale structures likely influence the distribution of earthquakes both outside and within the CRB as well. We based this inference on qualitatively assessed alignments between the dominant northwest trends in the geologic structure and the seismicity generally and between specific faults and characteristics of the 2009 Wooded Island swarm and aseismic slip, which is the only cluster studied in detail and the most vigorous since regional monitoring began.
","language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110065","usgsCitation":"Gomberg, J., Sherrod, B., Trautman, M., Burns, E., and Snyder, D., 2012, Contemporary seismicity in and around the Yakima-Fold-and-Thrust Belt in eastern Washington: Bulletin of the Seismological Society of America, v. 102, no. 1, p. 309-320, https://doi.org/10.1785/0120110065.","productDescription":"12 p.","startPage":"309","endPage":"320","ipdsId":"IP-028004","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":474197,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2152/43250","text":"External Repository"},{"id":264648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.431884765625,\n 46.0465484463062\n ],\n [\n -118.71276855468749,\n 46.0465484463062\n ],\n [\n -118.71276855468749,\n 47.212105775622426\n ],\n [\n -121.431884765625,\n 47.212105775622426\n ],\n [\n -121.431884765625,\n 46.0465484463062\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"102","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-15","publicationStatus":"PW","scienceBaseUri":"50d391c4e4b062c7914ebd8e","contributors":{"authors":[{"text":"Gomberg, J.","contributorId":95994,"corporation":false,"usgs":true,"family":"Gomberg","given":"J.","email":"","affiliations":[],"preferred":false,"id":470452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, B.","contributorId":98510,"corporation":false,"usgs":true,"family":"Sherrod","given":"B.","email":"","affiliations":[],"preferred":false,"id":470453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trautman, M.","contributorId":44059,"corporation":false,"usgs":true,"family":"Trautman","given":"M.","email":"","affiliations":[],"preferred":false,"id":470450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, E. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":25434,"corporation":false,"usgs":true,"family":"Burns","given":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":470449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Snyder, Diane","contributorId":60388,"corporation":false,"usgs":true,"family":"Snyder","given":"Diane","email":"","affiliations":[],"preferred":false,"id":470451,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70041920,"text":"sir20125236 - 2012 - Numerical simulation of groundwater movement and managed aquifer recharge from Sand Hollow Reservoir, Hurricane Bench area, Washington County, Utah","interactions":[],"lastModifiedDate":"2017-01-04T10:28:36","indexId":"sir20125236","displayToPublicDate":"2012-12-18T00:00:00","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":"2012-5236","title":"Numerical simulation of groundwater movement and managed aquifer recharge from Sand Hollow Reservoir, Hurricane Bench area, Washington County, Utah","docAbstract":"The Hurricane Bench area of Washington County, Utah, is a 70 square-mile area extending south from the Virgin River and encompassing Sand Hollow basin. Sand Hollow Reservoir, located on Hurricane Bench, was completed in March 2002 and is operated primarily as a managed aquifer recharge project by the Washington County Water Conservancy District. The reservoir is situated on a thick sequence of the Navajo Sandstone and Kayenta Formation. Total recharge to the underlying Navajo aquifer from the reservoir was about 86,000 acre-feet from 2002 to 2009. Natural recharge as infiltration of precipitation was approximately 2,100 acre-feet per year for the same period. Discharge occurs as seepage to the Virgin River, municipal and irrigation well withdrawals, and seepage to drains at the base of reservoir dams. Within the Hurricane Bench area, unconfined groundwater-flow conditions generally exist throughout the Navajo Sandstone. Navajo Sandstone hydraulic-conductivity values from regional aquifer testing range from 0.8 to 32 feet per day. The large variability in hydraulic conductivity is attributed to bedrock fractures that trend north-northeast across the study area.
A numerical groundwater-flow model was developed to simulate groundwater movement in the Hurricane Bench area and to simulate the movement of managed aquifer recharge from Sand Hollow Reservoir through the groundwater system. The model was calibrated to combined steady- and transient-state conditions. The steady-state portion of the simulation was developed and calibrated by using hydrologic data that represented average conditions for 1975. The transient-state portion of the simulation was developed and calibrated by using hydrologic data collected from 1976 to 2009. Areally, the model grid was 98 rows by 76 columns with a variable cell size ranging from about 1.5 to 25 acres. Smaller cells were used to represent the reservoir to accurately simulate the reservoir bathymetry and nearby monitoring wells; larger cells were used in the northern and southern portions of the model where water-level data were limited. Vertically, the aquifer system was divided into 10 layers, which incorporated the Navajo Sandstone and Kayenta Formation. The model simulated recharge to the groundwater system as natural infiltration of precipitation and as infiltration of managed aquifer recharge from Sand Hollow Reservoir. Groundwater discharge was simulated as well withdrawals, shallow drains at the base of reservoir dams, and seepage to the Virgin River. During calibration, variables were adjusted within probable ranges to minimize differences among model-simulated and observed water levels, groundwater travel times, drain discharges, and monthly estimated reservoir recharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125236","collaboration":"Prepared in cooperation with the Washington County Water Conservancy District","usgsCitation":"Marston, T.M., and Heilweil, V.M., 2012, Numerical simulation of groundwater movement and managed aquifer recharge from Sand Hollow Reservoir, Hurricane Bench area, Washington County, Utah: U.S. Geological Survey Scientific Investigations Report 2012-5236, vi, 34 p., https://doi.org/10.3133/sir20125236.","productDescription":"vi, 34 p.","numberOfPages":"44","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":264131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5236.jpg"},{"id":264129,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5236/"},{"id":264130,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5236/pdf/sir20125236.pdf"}],"country":"United States","state":"Utah","county":"Washington County","otherGeospatial":"Sand Hollow Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.39374,37.101658 ], [ -113.39374,37.127394 ], [ -113.35936,37.127394 ], [ -113.35936,37.101658 ], [ -113.39374,37.101658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20bace4b08b071e771b34","contributors":{"authors":[{"text":"Marston, Thomas M. 0000-0003-1053-4172 tmarston@usgs.gov","orcid":"https://orcid.org/0000-0003-1053-4172","contributorId":3272,"corporation":false,"usgs":true,"family":"Marston","given":"Thomas","email":"tmarston@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041900,"text":"ds715 - 2012 - Hydrologic and geochemical data collected near Skewed Reservoir, an impoundment for coal-bed natural gas produced water, Powder River Basin, Wyoming","interactions":[],"lastModifiedDate":"2012-12-18T17:35:33","indexId":"ds715","displayToPublicDate":"2012-12-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"715","title":"Hydrologic and geochemical data collected near Skewed Reservoir, an impoundment for coal-bed natural gas produced water, Powder River Basin, Wyoming","docAbstract":"The Powder River Structural Basin is one of the largest producers of coal-bed natural gas (CBNG) in the United States. An important environmental concern in the Basin is the fate of groundwater that is extracted during CBNG production. Most of this produced water is disposed of in unlined surface impoundments. A 6-year study of groundwater flow and subsurface water and soil chemistry was conducted at one such impoundment, Skewed Reservoir. Hydrologic and geochemical data collected as part of that study are contained herein. Data include chemistry of groundwater obtained from a network of 21 monitoring wells and three suction lysimeters and chemical and physical properties of soil cores including chemistry of water/soil extracts, particle-size analyses, mineralogy, cation-exchange capacity, soil-water content, and total carbon and nitrogen content of soils.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds715","collaboration":"Prepared in cooperation with the Bureau of Land Management. The Downloads Directory contains 16 appendixes, numbering 1-5, 6A-6F, 7-11. Please see the \"View companion files\" link above for access to these appendixes.","usgsCitation":"Healy, R.W., Rice, C.A., and Bartos, T.T., 2012, Hydrologic and geochemical data collected near Skewed Reservoir, an impoundment for coal-bed natural gas produced water, Powder River Basin, Wyoming: U.S. Geological Survey Data Series 715, Report: iv, 6 p.; Downloads Directory, https://doi.org/10.3133/ds715.","productDescription":"Report: iv, 6 p.; Downloads Directory","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-07-01","temporalEnd":"2005-05-31","costCenters":[{"id":440,"text":"National Research Program Water Resources","active":false,"usgs":true}],"links":[{"id":264124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_715.gif"},{"id":264121,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/715/"},{"id":264123,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/715/downloads/"},{"id":264122,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/715/DS715_508.pdf"}],"country":"United States","state":"Wyoming","otherGeospatial":"Poweder River;Skewed Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.120833,44.113611 ], [ -106.120833,44.120833 ], [ -106.113889,44.120833 ], [ -106.113889,44.113611 ], [ -106.120833,44.113611 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d20b8ee4b08b071e771b1d","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":470340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Cynthia A.","contributorId":87140,"corporation":false,"usgs":true,"family":"Rice","given":"Cynthia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":470341,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041332,"text":"70041332 - 2012 - Identifying bubble collapse in a hydrothermal system using hiddden Markov models","interactions":[],"lastModifiedDate":"2019-06-25T10:49:41","indexId":"70041332","displayToPublicDate":"2012-12-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Identifying bubble collapse in a hydrothermal system using hiddden Markov models","docAbstract":"Beginning in July 2003 and lasting through September 2003, the Norris Geyser Basin in Yellowstone National Park exhibited an unusual increase in ground temperature and hydrothermal activity. Using hidden Markov model theory, we identify over five million high-frequency (>15 Hz) seismic events observed at a temporary seismic station deployed in the basin in response to the increase in hydrothermal activity. The source of these seismic events is constrained to within ~100 m of the station, and produced ~3500–5500 events per hour with mean durations of ~0.35–0.45 s. The seismic event rate, air temperature, hydrologic temperatures, and surficial water flow of the geyser basin exhibited a marked diurnal pattern that was closely associated with solar thermal radiance. We interpret the source of the seismicity to be due to the collapse of small steam bubbles in the hydrothermal system, with the rate of collapse being controlled by surficial temperatures and daytime evaporation rates.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011GL049901","usgsCitation":"Dawson, P.B., Benitez, M., Lowenstern, J.B., and Chouet, B.A., 2012, Identifying bubble collapse in a hydrothermal system using hiddden Markov models: Geophysical Research Letters, v. 39, L01304; 5 p., https://doi.org/10.1029/2011GL049901.","productDescription":"L01304; 5 p.","ipdsId":"IP-034503","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474203,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049901","text":"Publisher Index Page"},{"id":264047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264046,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049901"}],"country":"United States","state":"Wyoming","otherGeospatial":"Norris Geyser Basin, Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.75180053710938,\n 44.69611500685269\n ],\n [\n -110.65292358398438,\n 44.69611500685269\n ],\n [\n -110.65292358398438,\n 44.757582949615994\n ],\n [\n -110.75180053710938,\n 44.757582949615994\n ],\n [\n -110.75180053710938,\n 44.69611500685269\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-01-06","publicationStatus":"PW","scienceBaseUri":"50cc4a79e4b00ab7c548c672","contributors":{"authors":[{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benitez, M.C.","contributorId":82144,"corporation":false,"usgs":true,"family":"Benitez","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":469543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469542,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041751,"text":"70041751 - 2012 - Role of surface-water and groundwater interactions on projected summertime streamflow in snow dominated regions : An integrated modeling approach","interactions":[],"lastModifiedDate":"2021-01-05T19:02:47.72027","indexId":"70041751","displayToPublicDate":"2012-12-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Role of surface-water and groundwater interactions on projected summertime streamflow in snow dominated regions : An integrated modeling approach","docAbstract":"Previous studies indicate predominantly increasing trends in precipitation across the Western United States, while at the same time, historical streamflow records indicate decreasing summertime streamflow and 25th percentile annual flows. These opposing trends could be viewed as paradoxical, given that several studies suggest that increased annual precipitation will equate to increased annual groundwater recharge, and therefore increased summertime flow. To gain insight on mechanisms behind these potential changes, we rely on a calibrated, integrated surface and groundwater model to simulate climate impacts on surface water/groundwater interactions using 12 general circulation model projections of temperature and precipitation from 2010 to 2100, and evaluate the interplay between snowmelt timing and other hydrologic variables, including streamflow, groundwater recharge, storage, groundwater discharge, and evapotranspiration. Hydrologic simulations show that the timing of peak groundwater discharge to the stream is inversely correlated to snowmelt runoff and groundwater recharge due to the bank storage effect and reversal of hydraulic gradients between the stream and underlying groundwater. That is, groundwater flow to streams peaks following the decrease in stream depth caused by snowmelt recession, and the shift in snowmelt causes a corresponding shift in groundwater discharge to streams. Our results show that groundwater discharge to streams is depleted during the summer due to earlier drainage of shallow aquifers adjacent to streams even if projected annual precipitation and groundwater recharge increases. These projected changes in surface water/groundwater interactions result in more than a 30% decrease in the projected ensemble summertime streamflow. Our findings clarify causality of observed decreasing summertime flow, highlight important aspects of potential climate change impacts on groundwater resources, and underscore the need for integrated hydrologic models in climate change studies.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012WR012319","usgsCitation":"Huntington, J., and Niswonger, R., 2012, Role of surface-water and groundwater interactions on projected summertime streamflow in snow dominated regions : An integrated modeling approach: Water Resources Research, v. 48, no. 11, 20 p., https://doi.org/10.1029/2012WR012319.","productDescription":"20 p.","ipdsId":"IP-036216","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":381891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.000,39.208 ], [ -120.000,39.375 ], [ -119.833,39.375 ], [ -119.833,39.208 ], [ -120.000,39.208 ] ] ] } } ] }","volume":"48","issue":"11","noUsgsAuthors":false,"publicationDate":"2012-11-17","publicationStatus":"PW","scienceBaseUri":"50cb5822e4b09e092d6f0426","contributors":{"authors":[{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":470160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":470161,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041739,"text":"70041739 - 2012 - Spatial patterns of March and September streamflow trends in Pacific Northwest Streams, 1958-2008","interactions":[],"lastModifiedDate":"2012-12-11T21:51:03","indexId":"70041739","displayToPublicDate":"2012-12-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1769,"text":"Geographical Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of March and September streamflow trends in Pacific Northwest Streams, 1958-2008","docAbstract":"Summer streamflow is a vital water resource for municipal and domestic water supplies, irrigation, salmonid habitat, recreation, and water-related ecosystem services in the Pacific Northwest (PNW) in the United States. This study detects significant negative trends in September absolute streamflow in a majority of 68 stream-gauging stations located on unregulated streams in the PNW from 1958 to 2008. The proportion of March streamflow to annual streamflow increases in most stations over 1,000 m elevation, with a baseflow index of less than 50, while absolute March streamflow does not increase in most stations. The declining trends of September absolute streamflow are strongly associated with seven-day low flow, January–March maximum temperature trends, and the size of the basin (19–7,260 km2), while the increasing trends of the fraction of March streamflow are associated with elevation, April 1 snow water equivalent, March precipitation, center timing of streamflow, and October–December minimum temperature trends. Compared with ordinary least squares (OLS) estimated regression models, spatial error regression and geographically weighted regression (GWR) models effectively remove spatial autocorrelation in residuals. The GWR model results show spatial gradients of local R 2 values with consistently higher local R 2 values in the northern Cascades. This finding illustrates that different hydrologic landscape factors, such as geology and seasonal distribution of precipitation, also influence streamflow trends in the PNW. In addition, our spatial analysis model results show that considering various geographic factors help clarify the dynamics of streamflow trends over a large geographical area, supporting a spatial analysis approach over aspatial OLS-estimated regression models for predicting streamflow trends. Results indicate that transitional rain–snow surface water-dominated basins are likely to have reduced summer streamflow under warming scenarios. Consequently, a better understanding of the relationships among summer streamflow, precipitation, snowmelt, elevation, and geology can help water managers predict the response of regional summer streamflow to global warming.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geographical Analysis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1538-4632.2012.00847.x","usgsCitation":"Chang, H., Jung, I., Steele, M., and Gannett, M., 2012, Spatial patterns of March and September streamflow trends in Pacific Northwest Streams, 1958-2008: Geographical Analysis, v. 44, no. 3, p. 177-201, https://doi.org/10.1111/j.1538-4632.2012.00847.x.","productDescription":"25 p.","startPage":"177","endPage":"201","ipdsId":"IP-027578","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":263966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263965,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1538-4632.2012.00847.x"}],"country":"United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-07-11","publicationStatus":"PW","scienceBaseUri":"50c85637e4b03bc63bd679c2","contributors":{"authors":[{"text":"Chang, Heejun","contributorId":14705,"corporation":false,"usgs":true,"family":"Chang","given":"Heejun","email":"","affiliations":[],"preferred":false,"id":470134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jung, Il-Won","contributorId":38865,"corporation":false,"usgs":true,"family":"Jung","given":"Il-Won","email":"","affiliations":[],"preferred":false,"id":470135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, Madeline","contributorId":59702,"corporation":false,"usgs":true,"family":"Steele","given":"Madeline","affiliations":[],"preferred":false,"id":470136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gannett, Marshall","contributorId":61723,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","affiliations":[],"preferred":false,"id":470137,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041730,"text":"sir20125238 - 2012 - Characterization of the hydrologic resources of San Miguel County, New Mexico, and identification of hydrologic data gaps, 2011","interactions":[],"lastModifiedDate":"2012-12-11T14:46:08","indexId":"sir20125238","displayToPublicDate":"2012-12-11T00:00:00","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":"2012-5238","title":"Characterization of the hydrologic resources of San Miguel County, New Mexico, and identification of hydrologic data gaps, 2011","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with San Miguel County, New Mexico, conducted a study to assess publicly available information regarding the hydrologic resources of San Miguel County and to identify data gaps in that information and hydrologic information that could aid in the management of available water resources. The USGS operates four continuous annual streamgages in San Miguel County. Monthly discharge at these streamgages is generally bimodally distributed, with most runoff corresponding to spring runoff and to summer monsoonal rains. Data compiled since 1951 on the geology and groundwater resources of San Miguel County are generally consistent with the original characterization of depth and availability of groundwater resources and of source aquifers. Subsequent exploratory drilling identified deep available groundwater in some locations. Most current (2011) development of groundwater resources is in western San Miguel County, particularly in the vicinity of El Creston hogback, the hogback ridge just west of Las Vegas, where USGS groundwater-monitoring wells indicate that groundwater levels are declining. \n\nRegarding future studies to address identified data gaps, the ability to evaluate and quantify surface-water resources, both as runoff and as potential groundwater recharge, could be enhanced by expanding the network of streamgages and groundwater-monitoring wells throughout the county. A series of seepage surveys along the lengths of the rivers could help to determine locations of surface-water losses to and gains from the local groundwater system and could help to quantify the component of streamflow attributable to irrigation return flow; associated synoptic water-quality sampling could help to identify potential effects to water quality attributable to irrigation return flow. Effects of groundwater withdrawals on streamflow could be assessed by constructing monitoring wells along transects between production wells and stream reaches of interest to monitor decline or recovery of the water table, to quantify the timing and extent of water-table response, and to identify the spatial extent of capture zones. Assessment of groundwater potential could be aided by a county-wide distribution of water-level information and by a series of maps of groundwater potential, compiled for each individual aquifer, including saline aquifers, for which the potential for municipal use through desalination could be explored. A county-wide geographic information system hydrologic geodatabase could provide a comprehensive picture of water use in San Miguel County and could be used by San Miguel County as a decision-support tool for future management decisions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125238","collaboration":"Prepared in cooperation with San Miguel County, New Mexico","usgsCitation":"Matherne, A.M., and Stewart, A.M., 2012, Characterization of the hydrologic resources of San Miguel County, New Mexico, and identification of hydrologic data gaps, 2011: U.S. Geological Survey Scientific Investigations Report 2012-5238, Report: viii, 44 p.; XLSX Table 5, https://doi.org/10.3133/sir20125238.","productDescription":"Report: viii, 44 p.; XLSX Table 5","numberOfPages":"56","additionalOnlineFiles":"Y","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":263943,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5238/sir2012-5238.pdf"},{"id":263944,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5238/sir2012-5238_table5.xlsx"},{"id":263945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5238.gif"},{"id":263942,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5238/"}],"country":"United States","state":"New Mexico","county":"San Miguel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.7222,35.0416 ], [ -105.7222,35.871 ], [ -103.637,35.871 ], [ -103.637,35.0416 ], [ -105.7222,35.0416 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c855fce4b03bc63bd67992","contributors":{"authors":[{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Anne M. astewart@usgs.gov","contributorId":3938,"corporation":false,"usgs":true,"family":"Stewart","given":"Anne","email":"astewart@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470115,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70041723,"text":"sir20115118 - 2012 - Low-flow characteristics of streams under natural and diversion conditions, Waipiʻo Valley, Island of Hawaiʻi, Hawaiʻi","interactions":[],"lastModifiedDate":"2012-12-11T14:34:07","indexId":"sir20115118","displayToPublicDate":"2012-12-11T00:00:00","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":"2011-5118","title":"Low-flow characteristics of streams under natural and diversion conditions, Waipiʻo Valley, Island of Hawaiʻi, Hawaiʻi","docAbstract":"Over the past 100 years, natural streamflow in Waipiʻo Valley has been reduced by the transfer of water out of the valley by Upper and Lower Hāmākua Ditches. The physical condition and diversion practices along the two ditch systems have varied widely over the years, and as a result, so have their effects on natural streamflow in Waipiʻo Valley. Recent renovation and improvements to Lower Hāmākua Ditch system, along with proposals for its future operation and water-diversion strategies, have unknown implications. The purpose of this report is to quantify the availability of streamflow and to determine the effects of current and proposed diversion strategies on the low-flow hydrology in Waipiʻo Valley. In this report, the low-flow hydrology of Waipiʻo Valley is described in terms of flow-duration statistics. Flow-duration statistics were computed for three locations in the Waipiʻo Valley study area where long-term surface-water gaging stations have been operated. Using a variety of streamflow record-extension techniques, flow-duration statistics were estimated at an additional 13 locations where only few historical data are available or where discharge measurements were made as part of this study. Flow-duration statistics were computed to reflect natural conditions, current (2000-2005) diversion conditions, and proposed future diversion conditions at the 16 locations. At the downstream limit of the study area, on Wailoa Stream at an altitude of 190 feet, a baseline for evaluating the availability of streamflow is provided by computed flow-duration statistics that are representative of natural, no-diversion conditions. At the Wailoa gaging station, 95- and 50-percentile discharges under natural conditions were determined to be 86 and 112 cubic feet per second, respectively. Under 1965-1969 diversion conditions, natural 95- and 50-percentile discharges were reduced by 52 and 53 percent, to 41 and 53 cubic feet per second, respectively. Under current (2000-2005) diversion conditions, natural 95- and 50-percentile discharges were reduced by 21 and 24 percent, to 68 and 85 cubic feet per second, respectively. Under proposed future diversion conditions, natural 95- and 50-percentile discharges would be reduced by 33 and 24 percent, to 58 and 85 cubic feet per second, respectively. Compared to discharges that reflect current (2000-2005) diversion conditions, proposed future diversion conditions would reduce 95-percentile discharges, which are representative of moderate drought levels in the stream, by 15 percent. No change would be expected in 50-percentile discharges, which are representative of normal conditions. The effects of current (2000-2005) and proposed future diversion conditions on the natural flow of streams in the Waipiʻo Valley study area differ, depending on the location. Under current (2000-2005) diversion conditions, reductions in natural 95- or 50-percentile discharges of greater than 30 percent were found in Kawainui Stream downstream from Upper Hamakua Ditch to an altitude of about 1,435 feet and in the reach of Waimā Stream between Upper and Lower Hāmākua Ditches. Under proposed future diversion conditions, reductions in natural 95- or 50-percentile discharges of greater than 30 percent were found in Kawainui Stream downstream from Upper Hamakua Ditch to an altitude of about 1,435 feet, in the reach of Waimā Stream between Upper and Lower Hāmākua Ditches, and along most stream reaches downstream from Lower Hāmākua Ditch, except for Waimā Stream.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115118","collaboration":"Prepared in cooperation with the State of Hawaiʻi Office of Hawaiian Affairs","usgsCitation":"Fontaine, R.A., 2012, Low-flow characteristics of streams under natural and diversion conditions, Waipiʻo Valley, Island of Hawaiʻi, Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2011-5118, ix, 80 p., https://doi.org/10.3133/sir20115118.","productDescription":"ix, 80 p.","numberOfPages":"94","onlineOnly":"Y","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":263941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5118.gif"},{"id":263939,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5118/"},{"id":263940,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5118/sir2011-5118.pdf"}],"scale":"24000","projection":"Transverse Mercator projection","datum":"North American Datum 1983","country":"United States","city":"Hawai?i","otherGeospatial":"Waipi?o Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 155.70,20.00 ], [ 155.70,20.15 ], [ 155.56,20.15 ], [ 155.56,20.00 ], [ 155.70,20.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c85615e4b03bc63bd679a6","contributors":{"authors":[{"text":"Fontaine, Richard A. rfontain@usgs.gov","contributorId":2379,"corporation":false,"usgs":true,"family":"Fontaine","given":"Richard","email":"rfontain@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":470109,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041622,"text":"ofr20121242 - 2012 - Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington","interactions":[],"lastModifiedDate":"2012-12-08T15:28:14","indexId":"ofr20121242","displayToPublicDate":"2012-12-08T00:00:00","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":"2012-1242","title":"Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington","docAbstract":"A study of the geomorphology of rivers draining Mount Rainier, Washington, was completed to identify sources of sediment to the river network; to identify important processes in the sediment delivery system; to assess current sediment loads in rivers draining Mount Rainier; to evaluate if there were trends in streamflow or sediment load since the early 20th century; and to assess how rates of sedimentation might continue into the future using published climate-change scenarios.\n\nRivers draining Mount Rainier carry heavy sediment loads sourced primarily from the volcano that cause acute aggradation in deposition reaches as far away as the Puget Lowland. Calculated yields ranged from 2,000 tonnes per square kilometer per year [(tonnes/km2)/yr] on the upper Nisqually River to 350 (tonnes/km2)/yr on the lower Puyallup River, notably larger than sediment yields of 50–200 (tonnes/km2)/yr typical for other Cascade Range rivers. These rivers can be assumed to be in a general state of sediment surplus. As a result, future aggradation rates will be largely influenced by the underlying hydrology carrying sediment downstream. The active-channel width of rivers directly draining Mount Rainier in 2009, used as a proxy for sediment released from Mount Rainier, changed little between 1965 and 1994 reflecting a climatic period that was relatively quiet hydrogeomorphically. From 1994 to 2009, a marked increase in geomorphic disturbance caused the active channels in many river reaches to widen. Comparing active-channel widths of glacier-draining rivers in 2009 to the distance of glacier retreat between 1913 and 1994 showed no correlation, suggesting that geomorphic disturbance in river reaches directly downstream of glaciers is not strongly governed by the degree of glacial retreat. In contrast, there was a correlation between active-channel width and the percentage of superglacier debris mantling the glacier, as measured in 1971. A conceptual model of sediment delivery processes from the mountain indicates that rockfalls, glaciers, debris flows, and main-stem flooding act sequentially to deliver sediment from Mount Rainier to river reaches in the Puget Lowland over decadal time scales. Greater-than-normal runoff was associated with cool phases of the Pacific Decadal Oscillation. Streamflow-gaging station data from four unregulated rivers directly draining Mount Rainier indicated no statistically significant trends of increasing peak flows over the course of the 20th century.\n\nThe total sediment load of the upper Nisqually River from 1945 to 2011 was determined to be 1,200,000±180,000 tonnes/yr. The suspended-sediment load in the lower Puyallup River at Puyallup, Washington, was 860,000±300,000 tonnes/yr between 1978 and 1994, but the long-term load for the Puyallup River likely is about 1,000,000±400,000 tonnes/yr. Using a coarse-resolution bedload transport relation, the long-term average bedload was estimated to be about 30,000 tonnes/yr in the lower White River near Auburn, Washington, which was four times greater than bedload in the Puyallup River and an order of magnitude greater than bedload in the Carbon River. Analyses indicate a general increase in the sediment loads in Mount Rainier rivers in the 1990s and 2000s relative to the time period from the 1960s to 1980s. Data are insufficient, however, to determine definitively if post-1990 increases in sediment production and transport from Mount Rainier represent a statistically significant increase relative to sediment-load values typical from Mount Rainier during the entire 20th century.\n\nOne-dimensional river-hydraulic and sediment-transport models simulated the entrainment, transport, attrition, and deposition of bed material. Simulations showed that bed-material loads were largest for the Nisqually River and smallest for the Carbon River. The models were used to simulate how increases in sediment supply to rivers transport through the river systems and affect lowland reaches. For each simulation, the input sediment pulse evolved through a combination of translation, dispersion, and attrition as it moved downstream. The characteristic transport times for the median sediment-size pulse to arrive downstream for the Nisqually, Carbon, Puyallup, and White Rivers were approximately 70, 300, 80, and 60 years, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121242","collaboration":"Prepared in cooperation with Pierce County Public Works and Utilities, Surface Water Management; and King County Department of Natural Resources and Parks, Water and Land Resources Division","usgsCitation":"Czuba, J., Magirl, C.S., Czuba, C.R., Curran, C.A., Johnson, K.H., Olsen, T.D., Kimball, H.K., and Gish, C.C., 2012, Geomorphic analysis of the river response to sedimentation downstream of Mount Rainier, Washington: U.S. Geological Survey Open-File Report 2012-1242, xii, 134 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121242.","productDescription":"xii, 134 p.; col. ill.; maps (col.)","startPage":"i","endPage":"134","numberOfPages":"150","additionalOnlineFiles":"N","ipdsId":"IP-040356","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":263870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1242.jpg"},{"id":263868,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1242/"},{"id":263869,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1242/pdf/ofr20121242.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,45.54 ], [ -124.79,49.0 ], [ -116.92,49.0 ], [ -116.92,45.54 ], [ -124.79,45.54 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c46187e4b0e44331d07168","contributors":{"authors":[{"text":"Czuba, Jonathan A.","contributorId":19917,"corporation":false,"usgs":true,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469990,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kimball, Halley K.","contributorId":36431,"corporation":false,"usgs":true,"family":"Kimball","given":"Halley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469996,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gish, Casey C.","contributorId":55245,"corporation":false,"usgs":true,"family":"Gish","given":"Casey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469997,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70041519,"text":"sir20125227 - 2012 - Flood-inundation maps for a nine-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois","interactions":[],"lastModifiedDate":"2012-12-07T11:39:03","indexId":"sir20125227","displayToPublicDate":"2012-12-07T00:00:00","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":"2012-5227","title":"Flood-inundation maps for a nine-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois","docAbstract":"Digital flood-inundation maps for a 9-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois, were created by the U.S. Geological Survey (USGS) in cooperation with the Lake County Stormwater Management Commission and the Villages of Lincolnshire and Riverwoods. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water levels (gage heights) at the USGS streamgage at Des Plaines River at Lincolnshire, Illinois (station no. 05528100). Current conditions at the USGS streamgage may be obtained on the Internet at http://waterdata.usgs.gov/usa/nwis/uv?05528100. In addition, this streamgage is incorporated into the Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/) by the National Weather Service (NWS). The NWS forecasts flood hydrographs at many places that are often co-located at USGS streamgages. The NWS forecasted peak-stage information, also shown on the Des Plaines River at Lincolnshire inundation Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was then used to determine seven water-surface profiles for flood stages at roughly 1-ft intervals referenced to the streamgage datum and ranging from the 50- to 0.2-percent annual exceedance probability flows. The simulated water-surface profiles were then combined with a Geographic Information System (GIS) Digital Elevation Model (DEM) (derived from Light Detection And Ranging (LiDAR) data) in order to delineate the area flooded at each water level. These maps, along with information on the Internet regarding current gage height from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125227","collaboration":"Prepared in cooperation with the Lake County Stormwater Management Commission and the Villages of Lincolnshire and Riverwoods","usgsCitation":"Murphy, E., Soong, D., and Sharpe, J.B., 2012, Flood-inundation maps for a nine-mile reach of the Des Plaines River from Riverwoods to Mettawa, Illinois: U.S. Geological Survey Scientific Investigations Report 2012-5227, Report: iv, 17 p.; Downloads Directory; 7 Sheets: 11.1 x 17 inches or smaller, https://doi.org/10.3133/sir20125227.","productDescription":"Report: iv, 17 p.; Downloads Directory; 7 Sheets: 11.1 x 17 inches or smaller","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":263812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5227.gif"},{"id":263804,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5227/Downloads"},{"id":263802,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5227/"},{"id":263803,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5227/pdf/SIR20125227_DesPlainesRiver_floodinundation.pdf"},{"id":263805,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_1.pdf"},{"id":263806,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_2.pdf"},{"id":263807,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_3.pdf"},{"id":263808,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_4.pdf"},{"id":263809,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_5.pdf"},{"id":263810,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_6.pdf"},{"id":263811,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5227/MapSheets/SIR20125227%20Map_Sheet_7.pdf"}],"country":"United States","state":"Illinois","city":"Lincolnshire;Mettawa;Riverwoods","otherGeospatial":"Des Plaines River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.95,42.15 ], [ -87.95,42.25 ], [ -87.9,42.25 ], [ -87.9,42.15 ], [ -87.95,42.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c31024e4b0b57f2415d192","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":469896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":469897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469895,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041508,"text":"sir20125212 - 2012 - Ohio River backwater flood-inundation maps for the Saline and Wabash Rivers in southern Illinois","interactions":[],"lastModifiedDate":"2014-09-18T17:22:01","indexId":"sir20125212","displayToPublicDate":"2012-12-06T00:00:00","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":"2012-5212","title":"Ohio River backwater flood-inundation maps for the Saline and Wabash Rivers in southern Illinois","docAbstract":"Digital flood-inundation maps for the Saline and Wabash Rivers referenced to elevations on the Ohio River in southern Illinois were created by the U.S. Geological Survey (USGS). The inundation maps, accessible through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water levels (gage heights) at the USGS streamgage at Ohio River at Old Shawneetown, Illinois-Kentucky (station number 03381700). Current gage height and flow conditions at this USGS streamgage may be obtained on the Internet at http://waterdata.usgs.gov/usa/nwis/uv?03381700. In addition, this streamgage is incorporated into the Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/) by the National Weather Service (NWS). The NWS forecasts flood hydrographs at many places that are often co-located at USGS streamgages. That NWS forecasted peak-stage information, also shown on the Ohio River at Old Shawneetown inundation Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.
\nIn this study, eight water-surface elevations were mapped at 5-foot (ft) intervals referenced to the streamgage datum ranging from just above the NWS Action Stage (31 ft) to above the maximum historical gage height (66 ft). The elevations of the water surfaces were compared to a Digital Elevation Model (DEM) by using a Geographic Information System (GIS) in order to delineate the area flooded at each water level.
\nThese maps, along with information on the Internet regarding current gage heights from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125212","usgsCitation":"Murphy, E., Sharpe, J.B., and Soong, D., 2012, Ohio River backwater flood-inundation maps for the Saline and Wabash Rivers in southern Illinois (First posted December 5, 2012; Revised and reposted September 18, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2012-5212, Report: iv, 20 p.; Downloads Directory; 8 Sheets: 16.99 x 11 inches, https://doi.org/10.3133/sir20125212.","productDescription":"Report: iv, 20 p.; Downloads Directory; 8 Sheets: 16.99 x 11 inches","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":263749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125212.jpg"},{"id":263741,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet1_final.pdf"},{"id":263739,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5212/"},{"id":263740,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5212/Downloads"},{"id":263742,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet2_final.pdf"},{"id":263743,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet3_final.pdf"},{"id":263744,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet4_final.pdf"},{"id":263745,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet5_final.pdf"},{"id":263746,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet6_final.pdf"},{"id":263747,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet7_final.pdf"},{"id":263748,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/map_sheet8_final.pdf"},{"id":263754,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5212/pdf/SIR20125212_salineriver_web.pdf"}],"country":"United States","state":"Illinois;Kentucky","city":"Old Shawneetown","otherGeospatial":"Ohio River;Saline River;Wabash River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.666667,37.5 ], [ -88.666667,37.916667 ], [ -88.0,37.916667 ], [ -88.0,37.5 ], [ -88.666667,37.5 ] ] ] } } ] }","edition":"First posted December 5, 2012; Revised and reposted September 18, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1be86e4b09fd40bb0eb23","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":469875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":469876,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041511,"text":"fs20123133 - 2012 - Wetland fire remote sensing research--The Greater Everglades example","interactions":[],"lastModifiedDate":"2012-12-06T21:52:54","indexId":"fs20123133","displayToPublicDate":"2012-12-06T00:00:00","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":"2012-3133","title":"Wetland fire remote sensing research--The Greater Everglades example","docAbstract":"Fire is a major factor in the Everglades ecosystem. For thousands of years, lightning-strike fires from summer thunderstorms have helped create and maintain a dynamic landscape suited both to withstand fire and recover quickly in the wake of frequent fires. Today, managers in the Everglades National Park are implementing controlled burns to promote healthy, sustainable vegetation patterns and ecosystem functions. The U.S. Geological Survey (USGS) is using remote sensing to improve fire-management databases in the Everglades, gain insights into post-fire land-cover dynamics, and develop spatially and temporally explicit fire-scar data for habitat and hydrologic modeling.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123133","usgsCitation":"Jones, J., 2012, Wetland fire remote sensing research--The Greater Everglades example: U.S. Geological Survey Fact Sheet 2012-3133, 2 p.; maps (col.), https://doi.org/10.3133/fs20123133.","productDescription":"2 p.; maps (col.)","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3133.gif"},{"id":263767,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3133/"},{"id":263768,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3133/pdf/fs2012-3133.pdf"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5183,24.85 ], [ -81.5183,25.8899 ], [ -80.3887,25.8899 ], [ -80.3887,24.85 ], [ -81.5183,24.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c1bea4e4b09fd40bb0eb3e","contributors":{"authors":[{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":469886,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041307,"text":"sir20125156 - 2012 - Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","interactions":[],"lastModifiedDate":"2016-08-10T15:53:54","indexId":"sir20125156","displayToPublicDate":"2012-12-04T00:00:00","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":"2012-5156","title":"Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","docAbstract":"Probabilities of arsenic occurrence in groundwater from bedrock aquifers at concentrations of 1, 5, and 10 micrograms per liter (µg/L) were estimated during 2011 using multivariate logistic regression. These estimates were developed for use by the New Hampshire Environmental Public Health Tracking Program. About 39 percent of New Hampshire bedrock groundwater was identified as having at least a 50 percent chance of containing an arsenic concentration greater than or equal to 1 µg/L. This compares to about 7 percent of New Hampshire bedrock groundwater having at least a 50 percent chance of containing an arsenic concentration equaling or exceeding 5 µg/L and about 5 percent of the State having at least a 50 percent chance for its bedrock groundwater to contain concentrations at or above 10 µg/L. The southeastern counties of Merrimack, Strafford, Hillsborough, and Rockingham have the greatest potential for having arsenic concentrations above 5 and 10 µg/L in bedrock groundwater.
\nSignificant predictors of arsenic in groundwater from bedrock aquifers for all three thresholds analyzed included geologic, geochemical, land use, hydrologic, topographic, and demographic factors. Among the three thresholds evaluated, there were some differences in explanatory variables, but many variables were the same. More than 250 individual predictor variables were assembled for this study and tested as potential predictor variables for the models. More than 1,700 individual measurements of arsenic concentration from a combination of public and private water-supply wells served as the dependent (or predicted) variable in the models.
\nThe statewide maps generated by the probability models are not designed to predict arsenic concentration in any single well, but they are expected to provide useful information in areas of the State that currently contain little to no data on arsenic concentration. They also may aid in resource decision making, in determining potential risk for private wells, and in ecological-level analysis of disease outcomes. The approach for modeling arsenic in groundwater could also be applied to other environmental contaminants that have potential implications for human health, such as uranium, radon, fluoride, manganese, volatile organic compounds, nitrate, and bacteria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125156","collaboration":"Prepared in cooperation with the New Hampshire Department of Health and Human Services and the New Hampshire Department of Environmental Services","usgsCitation":"Ayotte, J., Cahillane, M., Hayes, L., and Robinson, K.W., 2012, Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011: U.S. Geological Survey Scientific Investigations Report 2012-5156, Report: vi, 25 p.; Geospatial Data, https://doi.org/10.3133/sir20125156.","productDescription":"Report: vi, 25 p.; Geospatial Data","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":263642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5156.gif"},{"id":263592,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5156/"},{"id":263632,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5156/pdf/sir2012-5156_ayotte_508.pdf","text":"Report","size":"2.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":263633,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5156/pdf/usgs_nh_as.zip","text":"Geospatial data","size":"122 MB","linkFileType":{"id":6,"text":"zip"},"description":"Geospatial data"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-72.4521,43.161414],[-72.452556,43.172117],[-72.443405,43.179729],[-72.45028,43.192485],[-72.437719,43.20275],[-72.4405,43.219049],[-72.433796,43.232999],[-72.438937,43.24424],[-72.438693,43.252905],[-72.435221,43.258483],[-72.421583,43.263442],[-72.41545,43.271374],[-72.407842,43.282892],[-72.401666,43.303395],[-72.395462,43.312994],[-72.410353,43.331675],[-72.400981,43.345775],[-72.390103,43.356926],[-72.403949,43.358098],[-72.413377,43.362741],[-72.415978,43.376531],[-72.413154,43.384302],[-72.403811,43.391935],[-72.395659,43.438541],[-72.390567,43.451225],[-72.3925,43.467364],[-72.382951,43.476],[-72.381723,43.480091],[-72.380894,43.493394],[-72.384773,43.500259],[-72.396305,43.508062],[-72.398563,43.513435],[-72.394218,43.5274],[-72.389097,43.528266],[-72.380383,43.54088],[-72.382783,43.562459],[-72.37944,43.574069],[-72.373126,43.579419],[-72.349926,43.587726],[-72.328514,43.600805],[-72.328232,43.606839],[-72.3327,43.610313],[-72.334401,43.61925],[-72.33236,43.62507],[-72.327236,43.630534],[-72.32966,43.634648],[-72.314083,43.64281],[-72.31402,43.656158],[-72.304322,43.669507],[-72.303092,43.678078],[-72.30602,43.683061],[-72.305326,43.69577],[-72.299715,43.706558],[-72.292215,43.711333],[-72.27118,43.734138],[-72.264245,43.734158],[-72.232713,43.748286],[-72.218099,43.765729],[-72.205193,43.770952],[-72.2053,43.784474],[-72.195552,43.791492],[-72.190754,43.800807],[-72.184847,43.804698],[-72.183333,43.808177],[-72.18857,43.821153],[-72.182203,43.834032],[-72.182864,43.845109],[-72.187916,43.856126],[-72.184788,43.863393],[-72.182956,43.865335],[-72.167476,43.86915],[-72.173576,43.87967],[-72.170604,43.886388],[-72.160819,43.887223],[-72.151324,43.901704],[-72.121002,43.918956],[-72.118013,43.923292],[-72.116767,43.933923],[-72.118985,43.943225],[-72.117839,43.946828],[-72.105875,43.94937],[-72.098689,43.95766],[-72.100543,43.962478],[-72.090357,43.965409],[-72.104972,43.96995],[-72.110945,43.966959],[-72.114273,43.967513],[-72.111756,43.984943],[-72.116985,43.99448],[-72.103765,44.002837],[-72.105292,44.012663],[-72.102475,44.014882],[-72.098897,44.015477],[-72.093384,44.01045],[-72.090059,44.009903],[-72.090504,44.012736],[-72.095193,44.016666],[-72.0951,44.021831],[-72.09203,44.024459],[-72.084871,44.021308],[-72.082432,44.022154],[-72.081357,44.028529],[-72.075004,44.032789],[-72.079397,44.039531],[-72.078989,44.042886],[-72.06215,44.049931],[-72.068405,44.054021],[-72.067612,44.058034],[-72.057173,44.058646],[-72.048289,44.069136],[-72.051602,44.075193],[-72.042088,44.077008],[-72.036641,44.073999],[-72.031898,44.076241],[-72.048781,44.087141],[-72.046235,44.089538],[-72.03429,44.090138],[-72.031878,44.093359],[-72.03124,44.100101],[-72.039674,44.103371],[-72.042943,44.097636],[-72.048334,44.096905],[-72.052391,44.101088],[-72.054831,44.110137],[-72.052342,44.119891],[-72.041948,44.125653],[-72.037506,44.124708],[-72.033703,44.131541],[-72.041983,44.137165],[-72.042867,44.151288],[-72.040167,44.157023],[-72.042387,44.160817],[-72.047593,44.161801],[-72.053021,44.167903],[-72.057496,44.179444],[-72.066166,44.189773],[-72.064577,44.196949],[-72.058987,44.202114],[-72.058605,44.208215],[-72.053233,44.216876],[-72.053582,44.22604],[-72.047889,44.238493],[-72.050112,44.244046],[-72.059782,44.256018],[-72.061174,44.263377],[-72.05874,44.270005],[-72.064544,44.267997],[-72.067774,44.270976],[-72.065434,44.277235],[-72.053355,44.290501],[-72.046302,44.291983],[-72.033465,44.301878],[-72.033136,44.320365],[-72.029061,44.322398],[-72.01913,44.320383],[-72.009977,44.321951],[-71.988306,44.329768],[-71.984617,44.336243],[-71.98112,44.3375],[-71.945163,44.337744],[-71.935395,44.33577],[-71.92911,44.337577],[-71.917434,44.346535],[-71.906909,44.348284],[-71.872472,44.336628],[-71.852628,44.340873],[-71.833261,44.350136],[-71.814351,44.354541],[-71.812206,44.357356],[-71.816157,44.367559],[-71.812424,44.372532],[-71.815251,44.374594],[-71.814388,44.381932],[-71.800316,44.384276],[-71.803488,44.39189],[-71.793924,44.399271],[-71.778613,44.399799],[-71.761966,44.407027],[-71.756091,44.406401],[-71.749533,44.401955],[-71.743104,44.401657],[-71.735923,44.410062],[-71.715087,44.41049],[-71.699434,44.416069],[-71.67995,44.427908],[-71.679933,44.434062],[-71.66183,44.440293],[-71.653348,44.460499],[-71.645068,44.460545],[-71.640404,44.464186],[-71.647864,44.469976],[-71.64589,44.475141],[-71.639312,44.477836],[-71.632795,44.48389],[-71.627655,44.484207],[-71.622089,44.481387],[-71.617614,44.485715],[-71.609568,44.484348],[-71.59948,44.486455],[-71.594303,44.500749],[-71.586972,44.498526],[-71.586648,44.502873],[-71.577643,44.502692],[-71.577068,44.504041],[-71.583233,44.508268],[-71.594259,44.52168],[-71.582505,44.524403],[-71.574456,44.53366],[-71.573083,44.53798],[-71.575193,44.540859],[-71.596804,44.553424],[-71.598116,44.555412],[-71.596137,44.560898],[-71.59017,44.565694],[-71.569599,44.562777],[-71.559846,44.564119],[-71.557972,44.570451],[-71.552629,44.569543],[-71.548728,44.571873],[-71.5533,44.576924],[-71.5532,44.580683],[-71.544922,44.579278],[-71.537724,44.584785],[-71.536251,44.588441],[-71.553447,44.593451],[-71.556014,44.601383],[-71.553873,44.607069],[-71.55656,44.616988],[-71.55576,44.624119],[-71.551722,44.627598],[-71.554634,44.632197],[-71.562124,44.63658],[-71.562636,44.639505],[-71.558859,44.640122],[-71.558571,44.644373],[-71.566144,44.653863],[-71.570235,44.650483],[-71.575145,44.650612],[-71.57571,44.654574],[-71.586578,44.659478],[-71.584574,44.665351],[-71.585645,44.669277],[-71.581983,44.673533],[-71.596304,44.679083],[-71.594224,44.683815],[-71.598042,44.692818],[-71.59436,44.695996],[-71.600162,44.698919],[-71.59975,44.705318],[-71.604912,44.70815],[-71.613094,44.718933],[-71.618355,44.72261],[-71.617431,44.72805],[-71.624922,44.729032],[-71.62518,44.743978],[-71.626909,44.747224],[-71.631109,44.748689],[-71.631883,44.752463],[-71.617941,44.755883],[-71.614238,44.758664],[-71.611767,44.764345],[-71.604615,44.767738],[-71.596035,44.775422],[-71.596949,44.778987],[-71.592966,44.782776],[-71.580005,44.78548],[-71.573247,44.791882],[-71.571706,44.79483],[-71.573129,44.797947],[-71.569216,44.808813],[-71.572864,44.810383],[-71.5755,44.816058],[-71.567907,44.823832],[-71.562256,44.824632],[-71.557672,44.834421],[-71.552218,44.837775],[-71.556805,44.848808],[-71.548345,44.85553],[-71.550176,44.861609],[-71.545901,44.866134],[-71.534588,44.869698],[-71.529154,44.873559],[-71.528889,44.876928],[-71.512292,44.890246],[-71.51387,44.894648],[-71.501088,44.904433],[-71.495844,44.90498],[-71.49392,44.910923],[-71.500788,44.914535],[-71.515189,44.927317],[-71.516949,44.939704],[-71.514843,44.958741],[-71.516223,44.964569],[-71.52237,44.966308],[-71.527163,44.973668],[-71.531605,44.976023],[-71.538592,44.988182],[-71.53698,44.994177],[-71.530091,44.999656],[-71.514609,45.003957],[-71.507767,45.00817],[-71.487565,45.000936],[-71.479611,45.002905],[-71.476168,45.009054],[-71.464555,45.013637],[-71.502487,45.013367],[-71.500069,45.014212],[-71.499945,45.026323],[-71.494009,45.034345],[-71.491085,45.043671],[-71.49315,45.045772],[-71.500874,45.04511],[-71.505222,45.048791],[-71.505091,45.051465],[-71.500545,45.051943],[-71.497738,45.054751],[-71.496105,45.065082],[-71.498399,45.069629],[-71.489145,45.072308],[-71.486345,45.078503],[-71.480219,45.081316],[-71.480897,45.08303],[-71.471382,45.084199],[-71.467447,45.086851],[-71.464837,45.093023],[-71.449257,45.104522],[-71.445613,45.113367],[-71.440577,45.114464],[-71.428828,45.123881],[-71.426755,45.129672],[-71.437216,45.142333],[-71.433179,45.149166],[-71.42675,45.153257],[-71.423616,45.161096],[-71.424616,45.165872],[-71.419058,45.170488],[-71.414853,45.184908],[-71.408777,45.18797],[-71.405636,45.198139],[-71.39781,45.203553],[-71.403267,45.215348],[-71.415553,45.218001],[-71.417233,45.221293],[-71.44288,45.234799],[-71.443883,45.237061],[-71.438546,45.239004],[-71.433014,45.237656],[-71.429326,45.234228],[-71.420335,45.232719],[-71.402638,45.242589],[-71.394422,45.241216],[-71.391901,45.237216],[-71.385629,45.233214],[-71.37763,45.244203],[-71.363013,45.248205],[-71.357253,45.253336],[-71.356835,45.257175],[-71.363218,45.266429],[-71.360664,45.269835],[-71.353446,45.268695],[-71.347622,45.272125],[-71.344029,45.271167],[-71.336392,45.273066],[-71.331733,45.279969],[-71.320922,45.282324],[-71.314318,45.287033],[-71.309008,45.287238],[-71.301107,45.296563],[-71.284396,45.302434],[-71.28074,45.295188],[-71.27232,45.296694],[-71.264939,45.293446],[-71.266754,45.29123],[-71.262136,45.276098],[-71.250393,45.269191],[-71.245503,45.26887],[-71.239346,45.261925],[-71.236271,45.261126],[-71.231122,45.249712],[-71.221994,45.253543],[-71.220634,45.251121],[-71.2118,45.250457],[-71.203033,45.254302],[-71.198276,45.254257],[-71.194878,45.250515],[-71.183785,45.244932],[-71.180905,45.239858],[-71.173367,45.246348],[-71.162845,45.250332],[-71.148165,45.242412],[-71.13943,45.242958],[-71.131953,45.245423],[-71.127962,45.253672],[-71.124517,45.25527],[-71.119914,45.262287],[-71.120112,45.265738],[-71.116332,45.272322],[-71.107339,45.278612],[-71.105691,45.282498],[-71.109349,45.282222],[-71.110743,45.284576],[-71.105151,45.294635],[-71.097772,45.301906],[-71.085564,45.305476],[-71.076914,45.246912],[-71.059004,45.004918],[-71.037518,44.755607],[-71.012749,44.340784],[-70.992842,43.916269],[-70.989067,43.79244],[-70.982083,43.715043],[-70.972716,43.570255],[-70.957234,43.561358],[-70.955017,43.554239],[-70.950838,43.551026],[-70.955252,43.540887],[-70.962153,43.541036],[-70.963531,43.536756],[-70.95822,43.531586],[-70.957214,43.524994],[-70.954066,43.52261],[-70.956856,43.512719],[-70.954755,43.509802],[-70.957958,43.508041],[-70.959185,43.499351],[-70.969572,43.486201],[-70.967968,43.480783],[-70.974245,43.47742],[-70.970946,43.4739],[-70.964542,43.473262],[-70.961428,43.469696],[-70.96045,43.466592],[-70.9669,43.450458],[-70.96164,43.443039],[-70.96115,43.438321],[-70.968782,43.434891],[-70.968359,43.429283],[-70.971039,43.425606],[-70.982898,43.419332],[-70.986812,43.414264],[-70.986677,43.403541],[-70.982565,43.39778],[-70.982876,43.394808],[-70.98739,43.393457],[-70.987649,43.389521],[-70.985205,43.386745],[-70.985965,43.380023],[-70.974156,43.362925],[-70.974863,43.357969],[-70.967229,43.343777],[-70.960439,43.341048],[-70.956528,43.334691],[-70.953034,43.333257],[-70.93711,43.337367],[-70.932735,43.33676],[-70.930783,43.329569],[-70.916421,43.320279],[-70.912004,43.319821],[-70.91246,43.308289],[-70.907405,43.304782],[-70.90231,43.304872],[-70.900386,43.301358],[-70.907405,43.293582],[-70.906005,43.291682],[-70.896304,43.285282],[-70.886504,43.282783],[-70.882804,43.273183],[-70.86323,43.265109],[-70.858207,43.256286],[-70.855082,43.255191],[-70.852015,43.256808],[-70.843302,43.254321],[-70.839213,43.251224],[-70.841059,43.249699],[-70.838678,43.242931],[-70.817865,43.237911],[-70.815453,43.229023],[-70.811852,43.228306],[-70.80964,43.225407],[-70.813119,43.217252],[-70.816903,43.214604],[-70.820763,43.19978],[-70.819344,43.193036],[-70.827201,43.189485],[-70.828301,43.186685],[-70.823501,43.174585],[-70.828301,43.168985],[-70.829101,43.157886],[-70.8338,43.146886],[-70.8268,43.127086],[-70.78388,43.100867],[-70.779098,43.095887],[-70.766398,43.092688],[-70.756397,43.079988],[-70.741897,43.077388],[-70.737897,43.073488],[-70.708896,43.074989],[-70.704696,43.070989],[-70.703799,43.059574],[-70.71363,43.056006],[-70.71355,43.042077],[-70.718936,43.03235],[-70.730426,43.025392],[-70.734363,43.013307],[-70.743793,43.008027],[-70.749969,42.991689],[-70.756701,42.991337],[-70.761474,42.986681],[-70.765222,42.975349],[-70.7718,42.968064],[-70.769673,42.964419],[-70.771729,42.961321],[-70.775597,42.957213],[-70.780383,42.955798],[-70.793996,42.93989],[-70.797806,42.930037],[-70.798153,42.920926],[-70.805971,42.916549],[-70.810069,42.909549],[-70.810999,42.892375],[-70.81586,42.88625],[-70.817296,42.87229],[-70.830795,42.868918],[-70.848625,42.860939],[-70.886136,42.88261],[-70.902768,42.88653],[-70.914886,42.886564],[-70.930799,42.884589],[-70.9665,42.868989],[-71.031201,42.859089],[-71.044401,42.848789],[-71.047501,42.844089],[-71.064201,42.806289],[-71.132503,42.821389],[-71.165603,42.808689],[-71.186104,42.790689],[-71.181803,42.73759],[-71.223904,42.746689],[-71.245504,42.742589],[-71.267905,42.72589],[-71.278929,42.711258],[-71.294205,42.69699],[-71.981402,42.713294],[-72.458519,42.726853],[-72.461001,42.733209],[-72.473071,42.745916],[-72.477615,42.761245],[-72.484878,42.76554],[-72.491122,42.772465],[-72.497949,42.772918],[-72.50069,42.767657],[-72.507985,42.764414],[-72.513105,42.763822],[-72.516082,42.765949],[-72.514836,42.771436],[-72.508372,42.77461],[-72.508858,42.779919],[-72.515838,42.78856],[-72.542784,42.808482],[-72.54855,42.842021],[-72.557247,42.853019],[-72.554232,42.860038],[-72.556214,42.86695],[-72.552834,42.884968],[-72.540708,42.889379],[-72.532777,42.896076],[-72.530218,42.911576],[-72.52443,42.915575],[-72.527431,42.943148],[-72.534554,42.949894],[-72.532186,42.954945],[-72.518422,42.96317],[-72.492597,42.967648],[-72.481706,42.973985],[-72.473827,42.972045],[-72.461627,42.982906],[-72.465335,42.989558],[-72.46294,42.996943],[-72.456936,43.001306],[-72.448714,43.001169],[-72.443762,43.006245],[-72.444635,43.010566],[-72.457035,43.017285],[-72.462397,43.02556],[-72.460252,43.040671],[-72.465896,43.047505],[-72.467363,43.052648],[-72.463812,43.057404],[-72.445202,43.071352],[-72.435316,43.083536],[-72.435191,43.086622],[-72.443051,43.100841],[-72.440587,43.106145],[-72.433129,43.112637],[-72.432972,43.119655],[-72.442933,43.130192],[-72.44078,43.131472],[-72.440905,43.135793],[-72.451986,43.138924],[-72.45689,43.146558],[-72.45714,43.148493],[-72.451802,43.153486],[-72.4521,43.161414]]]},\"properties\":{\"name\":\"New Hampshire\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfb93ee4b01744973f779e","contributors":{"authors":[{"text":"Ayotte, Joseph D. jayotte@usgs.gov","contributorId":1802,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph D.","email":"jayotte@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahillane, Matthew","contributorId":90615,"corporation":false,"usgs":true,"family":"Cahillane","given":"Matthew","affiliations":[],"preferred":false,"id":469512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Keith W. kwrobins@usgs.gov","contributorId":2969,"corporation":false,"usgs":true,"family":"Robinson","given":"Keith","email":"kwrobins@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":469511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","interactions":[{"subject":{"id":99012,"text":"sir20105239 - 2011 - Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas","indexId":"sir20105239","publicationYear":"2011","noYear":false,"title":"Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas"},"predicate":"SUPERSEDED_BY","object":{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","indexId":"sir20125246","publicationYear":"2012","noYear":false,"title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10"},"id":1}],"lastModifiedDate":"2012-12-04T11:23:00","indexId":"sir20125246","displayToPublicDate":"2012-12-04T00:00:00","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":"2012-5246","title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","docAbstract":"Lake Maumelle, located in central Arkansas northwest of the cities of Little Rock and North Little Rock, is one of two principal drinking-water supplies for the Little Rock, and North Little Rock, Arkansas, metropolitan areas. Lake Maumelle and the Maumelle River (its primary tributary) are more pristine than most other reservoirs and streams in the region with 80 percent of the land area in the entire watershed being forested. However, as the Lake Maumelle watershed becomes increasingly more urbanized and timber harvesting becomes more extensive, concerns about the sustainability of the quality of the water supply also have increased.\n\nTwo hydrodynamic and water-quality models were developed to examine the hydrology and water quality in the Lake Maumelle watershed and changes that might occur as the watershed becomes more urbanized and timber harvesting becomes more extensive. A Hydrologic Simulation Program–FORTRAN watershed model was developed using continuous streamflow and discreet suspended-sediment and water-quality data collected from January 2004 through 2010. A CE–QUAL–W2 model was developed to simulate reservoir hydrodynamics and selected water-quality characteristics using the simulated output from the Hydrologic Simulation Program–FORTRAN model from January 2004 through 2010.\n\nThe calibrated Hydrologic Simulation Program–FORTRAN model and the calibrated CE–QUAL–W2 model were developed to simulate three land-use scenarios and to examine the potential effects of these land-use changes, as defined in the model, on the water quality of Lake Maumelle during the 2004 through 2010 simulation period. These scenarios included a scenario that simulated conversion of most land in the watershed to forest (scenario 1), a scenario that simulated conversion of potentially developable land to low-intensity urban land use in part of the watershed (scenario 2), and a scenario that simulated timber harvest in part of the watershed (scenario 3). Simulated land-use changes for scenarios 1 and 3 resulted in little (generally less than 10 percent) overall effect on the simulated water quality in the Hydrologic Simulation Program–FORTRAN model. The land-use change of scenario 2 affected subwatersheds that include Bringle, Reece, and Yount Creek tributaries and most other subwatersheds that drain into the northern side of Lake Maumelle; large percent increases in loading rates (generally between 10 and 25 percent) included dissolved nitrite plus nitrate nitrogen, dissolved orthophosphate, total phosphorus, suspended sediment, dissolved ammonia nitrogen, total organic carbon, and fecal coliform bacteria.\n\nFor scenario 1, the simulated changes in nutrient, suspended sediment, and total organic carbon loads from the Hydrologic Simulation Program–FORTRAN model resulted in very slight (generally less than 10 percent) changes in simulated water quality for Lake Maumelle, relative to the baseline condition. Following lake mixing in the falls of 2006 and 2007, phosphorus and nitrogen concentrations were higher than the baseline condition and chlorophyll a responded accordingly. The increased nutrient and chlorophyll a concentrations in late October and into 2007 were enough to increase concentrations, on average, for the entire simulation period (2004–10). For scenario 2, the simulated changes in nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from the Lake Maumelle watershed resulted in slight changes in simulated water quality for Lake Maumelle, relative to the baseline condition (total nitrogen decreased by 0.01 milligram per liter; dissolved orthophosphate increased by 0.001 milligram per liter; chlorophyll a decreased by 0.1 microgram per liter). The differences in these concentrations are approximately an order of magnitude less than the error between measured and simulated concentrations in the baseline model. During the driest summer in the simulation period (2006), phosphorus and nitrogen concentrations were lower than the baseline condition and chlorophyll a concentrations decreased during the same summer season. The decrease in nitrogen and chlorophyll a concentrations during the dry summer in 2006 was enough to decrease concentrations of these constituents very slightly, on average, for the entire simulation period (2004–10). For scenario 3, the changes in simulated nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from Lake Maumelle watershed resulted in very slight changes in simulated water quality within Lake Maumelle, relative to the baseline condition, for most of the reservoir.\n\nAmong the implications of the results of the modeling described in this report are those related to scale in both space and time. Spatial scales include limited size and location of land-use changes, their effects on loading rates, and resultant effects on water quality of Lake Maumelle. Temporally, the magnitude of the water-quality changes simulated by the land-use change scenarios over the 7-year period (2004–10) are not necessarily indicative of the changes that could be expected to occur with similar land-use changes persisting over a 20-, 30-, or 40- year period, for example. These implications should be tempered by realization of the described model limitations.\n\nThe Hydrologic Simulation Program–FORTRAN watershed model was calibrated to streamflow and water-quality data from five streamflow-gaging stations, and in general, these stations characterize a range of subwatershed areas with varying land-use types. The CE–QUAL–W2 reservoir model was calibrated to water-quality data collected during January 2004 through December 2010 at three reservoir stations, representing the upper, middle, and lower sections of the reservoir.\n\nIn general, the baseline simulation for the Hydrologic Simulation Program–FORTRAN and the CE–QUAL–W2 models matched reasonably well to the measured data. Simulated and measured suspended-sediment concentrations during periods of base flow (streamflows not substantially influenced by runoff) agree reasonably well for Maumelle River at Williams Junction, the station representing the upper end of the watershed (with differences—simulated minus measured value—generally ranging from -15 to 41 milligrams per liter, and percent difference—relative to the measured value—ranging from -99 to 182 percent) and Maumelle River near Wye, the station just above the reservoir at the lower end (differences generally ranging from -20 to 22 milligrams per liter, and percent difference ranging from -100 to 194 percent). In general, water temperature and dissolved-oxygen concentration simulations followed measured seasonal trends for all stations with the largest differences occurring during periods of lowest temperatures or during the periods of lowest measured dissolved-oxygen concentrations.\n\nFor the CE–QUAL–W2 model, simulated vertical distributions of water temperatures and dissolved-oxygen concentrations agreed with measured vertical distributions over time, even for the most complex water-temperature profiles. Considering the oligotrophic-mesotrophic (low to intermediate primary productivity and associated low nutrient concentrations) condition of Lake Maumelle, simulated algae, phosphorus, and nitrogen concentrations compared well with generally low measured concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125246","collaboration":"Prepared in cooperation with Central Arkansas Water","usgsCitation":"Hart, R.M., Green, W.R., Westerman, D.A., Petersen, J., and DeLanois, J.L., 2012, Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10: U.S. Geological Survey Scientific Investigations Report 2012-5246, ix, 119 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125246.","productDescription":"ix, 119 p.; col. ill.; maps (col.)","startPage":"i","endPage":"119","numberOfPages":"132","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":263666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5246.gif"},{"id":263664,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5246/"},{"id":263665,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5246/sir2012-5246.pdf"}],"country":"United States","state":"Arkansas","otherGeospatial":"Lake Maumelle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.65,36.5 ], [ -89.65,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfba04e4b01744973f77ae","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":469614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, James C. petersen@usgs.gov","contributorId":2437,"corporation":false,"usgs":true,"family":"Petersen","given":"James C.","email":"petersen@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLanois, Jeanne L.","contributorId":58531,"corporation":false,"usgs":true,"family":"DeLanois","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469613,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70118123,"text":"70118123 - 2012 - The genetic structure of a relict population of wood frogs","interactions":[],"lastModifiedDate":"2014-09-11T09:59:24","indexId":"70118123","displayToPublicDate":"2012-12-01T15:51:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"The genetic structure of a relict population of wood frogs","docAbstract":"Habitat fragmentation and the associated reduction in connectivity between habitat patches are commonly cited causes of genetic differentiation and reduced genetic variation in animal populations. We used eight microsatellite markers to investigate genetic structure and levels of genetic diversity in a relict population of wood frogs (Lithobates sylvatica) in Rocky Mountain National Park, Colorado, where recent disturbances have altered hydrologic processes and fragmented amphibian habitat. We also estimated migration rates among subpopulations, tested for a pattern of isolation-by-distance, and looked for evidence of a recent population bottleneck. The results from the clustering algorithm in Program STRUCTURE indicated the population is partitioned into two genetic clusters (subpopulations), and this result was further supported by factorial component analysis. In addition, an estimate of FST (FST = 0.0675, P value \\0.0001) supported the genetic differentiation of the two clusters. Estimates of migration rates among the two subpopulations were low, as were estimates of genetic variability. Conservation of the population of wood frogs may be improved by increasing the spatial distribution of the population and improving gene flow between the subpopulations. Construction or restoration of wetlands in the landscape between the clusters has the potential to address each of these objectives.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer Netherlands","doi":"10.1007/s10592-012-0395-1","usgsCitation":"Scherer, R., Muths, E., Noon, B., and Oyler-McCance, S., 2012, The genetic structure of a relict population of wood frogs: Conservation Genetics, v. 13, no. 6, p. 1521-1530, https://doi.org/10.1007/s10592-012-0395-1.","productDescription":"10 p.","startPage":"1521","endPage":"1530","numberOfPages":"10","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":291049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291048,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-012-0395-1"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.913714,40.158067 ], [ -105.913714,40.553787 ], [ -105.493583,40.553787 ], [ -105.493583,40.158067 ], [ -105.913714,40.158067 ] ] ] } } ] }","volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-08-18","publicationStatus":"PW","scienceBaseUri":"5412b9c0e4b0239f1986bb1b","contributors":{"authors":[{"text":"Scherer, Rick","contributorId":67427,"corporation":false,"usgs":true,"family":"Scherer","given":"Rick","affiliations":[],"preferred":false,"id":496395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":14012,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","affiliations":[],"preferred":false,"id":496393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noon, Barry","contributorId":64934,"corporation":false,"usgs":true,"family":"Noon","given":"Barry","affiliations":[],"preferred":false,"id":496394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara","contributorId":96820,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","affiliations":[],"preferred":false,"id":496396,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042778,"text":"70042778 - 2012 - High-resolution tephrochronology of the Wilson Creek Formation (Mono Lake, California) and Laschamp event using 238U-230Th SIMS dating of accessory mineral rims","interactions":[],"lastModifiedDate":"2019-05-31T08:28:34","indexId":"70042778","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution tephrochronology of the Wilson Creek Formation (Mono Lake, California) and Laschamp event using 238U-230Th SIMS dating of accessory mineral rims","docAbstract":"Sediments of the Wilson Creek Formation surrounding Mono Lake preserve a high-resolution archive of glacial and pluvial responses along the eastern Sierra Nevada due to late Pleistocene climate change. An absolute chronology for the Wilson Creek stratigraphy is critical for correlating the paleoclimate record to other archives in the western U.S. and the North Atlantic region. However, multiple attempts to date the Wilson Creek stratigraphy using carbonates and tephras yield discordant results due to open-system effects and radiocarbon reservoir uncertainties as well as abundant xenocrysts. New ion microprobe 238U-230Th dating of the final increments of crystallization recorded by allanite and zircon autocrysts from juvenile pyroclasts yield ages that effectively date eruption of key tephra beds and delimit the timing of basal Wilson Creek sedimentation to the interval between 26.8±2.1 and 61.7±1.9 ka. Tephra (Ash 15) erupted during the geomagnetic excursion originally designated the Mono Lake excursion yields an age of 40.8±1.9 ka, indicating that the event is instead the Laschamp excursion. The new ages support a depositional chronology from magnetostratigraphy that indicates quasi-synchronous glacial and hydrologic responses in the Sierra Nevada and Mono Basin to regional climate change, with intervals of lake filling and glacial-snowpack melting that are in phase with peaks in spring insolation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.09.013","usgsCitation":"Vazquez, J.A., and Lidzbarski, M.I., 2012, High-resolution tephrochronology of the Wilson Creek Formation (Mono Lake, California) and Laschamp event using 238U-230Th SIMS dating of accessory mineral rims: Earth and Planetary Science Letters, v. 357-358, p. 54-67, https://doi.org/10.1016/j.epsl.2012.09.013.","productDescription":"14 p.","startPage":"54","endPage":"67","ipdsId":"IP-042979","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":273020,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.09.013"},{"id":273021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Wilson Creek;Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.15,37.94 ], [ -119.15,38.07 ], [ -118.91,38.07 ], [ -118.91,37.94 ], [ -119.15,37.94 ] ] ] } } ] }","volume":"357-358","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a874e5e4b082d85d5ed89d","contributors":{"authors":[{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":472238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lidzbarski, Marsha I. mlidzbarski@usgs.gov","contributorId":5346,"corporation":false,"usgs":true,"family":"Lidzbarski","given":"Marsha","email":"mlidzbarski@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":472239,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}