{"pageNumber":"227","pageRowStart":"5650","pageSize":"25","recordCount":16506,"records":[{"id":70035066,"text":"70035066 - 2009 - Evaluation of a moderate resolution, satellite-based impervious surface map using an independent, high-resolution validation data set","interactions":[],"lastModifiedDate":"2012-03-12T17:21:53","indexId":"70035066","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a moderate resolution, satellite-based impervious surface map using an independent, high-resolution validation data set","docAbstract":"Given the relatively high cost of mapping impervious surfaces at regional scales, substantial effort is being expended in the development of moderate-resolution, satellite-based methods for estimating impervious surface area (ISA). To rigorously assess the accuracy of these data products high quality, independently derived validation data are needed. High-resolution data were collected across a gradient of development within the Mid-Atlantic region to assess the accuracy of National Land Cover Data (NLCD) Landsat-based ISA estimates. Absolute error (satellite predicted area - \"reference area\") and relative error [satellite (predicted area - \"reference area\")/ \"reference area\"] were calculated for each of 240 sample regions that are each more than 15 Landsat pixels on a side. The ability to compile and examine ancillary data in a geographic information system environment provided for evaluation of both validation and NLCD data and afforded efficient exploration of observed errors. In a minority of cases, errors could be explained by temporal discontinuities between the date of satellite image capture and validation source data in rapidly changing places. In others, errors were created by vegetation cover over impervious surfaces and by other factors that bias the satellite processing algorithms. On average in the Mid-Atlantic region, the NLCD product underestimates ISA by approximately 5%. While the error range varies between 2 and 8%, this underestimation occurs regardless of development intensity. Through such analyses the errors, strengths, and weaknesses of particular satellite products can be explored to suggest appropriate uses for regional, satellite-based data in rapidly developing areas of environmental significance. ?? 2009 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1084-0699(2009)14:4(369)","issn":"10840699","usgsCitation":"Jones, J.W., and Jarnagin, T., 2009, Evaluation of a moderate resolution, satellite-based impervious surface map using an independent, high-resolution validation data set: Journal of Hydrologic Engineering, v. 14, no. 4, p. 369-376, https://doi.org/10.1061/(ASCE)1084-0699(2009)14:4(369).","startPage":"369","endPage":"376","numberOfPages":"8","costCenters":[],"links":[{"id":215176,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1084-0699(2009)14:4(369)"},{"id":242958,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c32e4b0c8380cd52a8a","contributors":{"authors":[{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":449125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnagin, T.","contributorId":15422,"corporation":false,"usgs":true,"family":"Jarnagin","given":"T.","email":"","affiliations":[],"preferred":false,"id":449124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035050,"text":"70035050 - 2009 - Stimulating a Great Lakes coastal wetland seed bank using portable cofferdams: implications for habitat rehabilitation","interactions":[],"lastModifiedDate":"2012-03-12T17:21:56","indexId":"70035050","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Stimulating a Great Lakes coastal wetland seed bank using portable cofferdams: implications for habitat rehabilitation","docAbstract":"Coastal wetland seed banks exposed by low lake levels or through management actions fuel the reestablishment of emergent plant assemblages (i.e., wetland habitat) critical to Great Lakes aquatic biota. This project explored the effectiveness of using portable, water-filled cofferdams as a management tool to promote the natural growth of emergent vegetation from the seed bank in a Lake Erie coastal wetland. A series of dams stretching approximately 450??m was installed temporarily to isolate hydrologically a 10-ha corner of the Crane Creek wetland complex from Lake Erie. The test area was dewatered in 2004 to mimic a low-water year, and vegetation sampling characterized the wetland seed bank response at low, middle, and high elevations in areas open to and protected from bird and mammal herbivory. The nearly two-month drawdown stimulated a rapid seed-bank-driven response by 45 plant taxa. Herbivory had little effect on plant species richness, regardless of the location along an elevation gradient. Inundation contributed to the replacement of immature emergent plant species with submersed aquatic species after the dams failed and were removed prematurely. This study revealed a number of important issues that must be considered for effective long-term implementation of portable cofferdam technology to stimulate wetland seed banks, including duration of dewatering, product size, source of clean water, replacement of damaged dams, and regular maintenance. This technology is a potentially important tool in the arsenal used by resource managers seeking to rehabilitate the functions and values of Great Lakes coastal wetland habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jglr.2008.12.005","issn":"03801330","usgsCitation":"Kowalski, K., Wilcox, D., and Wiley, M., 2009, Stimulating a Great Lakes coastal wetland seed bank using portable cofferdams: implications for habitat rehabilitation: Journal of Great Lakes Research, v. 35, no. 2, p. 206-214, https://doi.org/10.1016/j.jglr.2008.12.005.","startPage":"206","endPage":"214","numberOfPages":"9","costCenters":[],"links":[{"id":476526,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/20.500.12648/2292","text":"External Repository"},{"id":215386,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2008.12.005"},{"id":243185,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9840e4b08c986b31bf22","contributors":{"authors":[{"text":"Kowalski, K.P.","contributorId":8975,"corporation":false,"usgs":true,"family":"Kowalski","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":449046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox, D.A.","contributorId":55382,"corporation":false,"usgs":true,"family":"Wilcox","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":449047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, M.J.","contributorId":68976,"corporation":false,"usgs":true,"family":"Wiley","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":449048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193765,"text":"70193765 - 2009 - Near‐surface evaluation of Ball Mountain Dam, Vermont, using multi‐channel analysis of surface waves (MASW) and refraction tomography seismic methods on land‐streamer data","interactions":[],"lastModifiedDate":"2020-03-10T14:45:03","indexId":"70193765","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Near‐surface evaluation of Ball Mountain Dam, Vermont, using multi‐channel analysis of surface waves (MASW) and refraction tomography seismic methods on land‐streamer data","docAbstract":"<p><span>A limited seismic investigation of Ball Mountain Dam, an earthen dam near Jamaica, Vermont, was conducted using multiple seismic methods including multi‐channel analysis of surface waves (MASW), refraction tomography, and vertical seismic profiling (VSP). The refraction and MASW data were efficiently collected in one survey using a towed land streamer containing vertical‐displacement geophones and two seismic sources, a 9‐kg hammer at the beginning of the spread and a 40‐kg accelerated weight drop one spread length from the geophones, to obtain near‐ and far‐offset data sets. The quality of the seismic data for the purposes of both refraction and MASW analyses was good for near offsets, decreasing in quality at farther offsets, thus limiting the depth of investigation to about 12 m. Refraction tomography and MASW analyses provided 2D compressional (Vp) and shear‐wave (Vs) velocity sections along the dam crest and access road, which are consistent with the corresponding VSP seismic velocity estimates from nearby wells. The velocity sections helped identify zonal variations in both Vp and Vs (rigidity) properties, indicative of material heterogeneity or dynamic processes (e.g. differential settlement) at specific areas of the dam. The results indicate that refraction tomography and MASW methods are tools with significant potential for economical, non‐invasive characterization of construction materials at earthen dam sites.</span><span></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts 2009","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3255123","usgsCitation":"Ivanov, J.M., Johnson, C.D., Lane, J.W., Miller, R.D., and Clemens, D., 2009, Near‐surface evaluation of Ball Mountain Dam, Vermont, using multi‐channel analysis of surface waves (MASW) and refraction tomography seismic methods on land‐streamer data, <i>in</i> SEG Technical Program Expanded Abstracts 2009, p. 1454-1458, https://doi.org/10.1190/1.3255123.","productDescription":"5 p.","startPage":"1454","endPage":"1458","ipdsId":"IP-012980","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":350794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","city":"Jamaica","otherGeospatial":"Ball Mountain Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.77790069580078,\n              43.124416717277235\n            ],\n            [\n              -72.77064800262451,\n              43.124416717277235\n            ],\n            [\n              -72.77064800262451,\n              43.12992925820256\n            ],\n            [\n              -72.77790069580078,\n              43.12992925820256\n            ],\n            [\n              -72.77790069580078,\n              43.124416717277235\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2009-10-14","publicationStatus":"PW","scienceBaseUri":"5a719271e4b0a9a2e9dbde2a","contributors":{"authors":[{"text":"Ivanov, Julian M.","contributorId":80844,"corporation":false,"usgs":true,"family":"Ivanov","given":"Julian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":720306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":720307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Richard D.","contributorId":56406,"corporation":false,"usgs":false,"family":"Miller","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720310,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Clemens, Drew","contributorId":199902,"corporation":false,"usgs":false,"family":"Clemens","given":"Drew","email":"","affiliations":[],"preferred":false,"id":720308,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70192572,"text":"70192572 - 2009 - Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes","interactions":[],"lastModifiedDate":"2018-10-12T09:41:12","indexId":"70192572","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes","docAbstract":"<p>The importance of lotic systems as sinks for nitrogen inputs is well recognized. A fraction of nitrogen in streamflow is removed to the atmosphere via denitrification with the remainder exported in streamflow as nitrogen loads. At the watershed scale, there is a keen interest in understanding the factors that control the fate of nitrogen throughout the stream channel network, with particular attention to the processes that deliver large nitrogen loads to sensitive coastal ecosystems. We use a dynamic stream transport model to assess biogeochemical (nitrate loadings, concentration, temperature) and hydrological (discharge, depth, velocity) effects on reach-scale denitrification and nitrate removal in the river networks of two watersheds having widely differing levels of nitrate enrichment but nearly identical discharges. Stream denitrification is estimated by regression as a nonlinear function of nitrate concentration, streamflow, and temperature, using more than 300 published measurements from a variety of US streams. These relations are used in the stream transport model to characterize nitrate dynamics related to denitrification at a monthly time scale in the stream reaches of the two watersheds. Results indicate that the nitrate removal efficiency of streams, as measured by the percentage of the stream nitrate flux removed via denitrification per unit length of channel, is appreciably reduced during months with high discharge and nitrate flux and increases during months of low-discharge and flux. Biogeochemical factors, including land use, nitrate inputs, and stream concentrations, are a major control on reach-scale denitrification, evidenced by the disproportionately lower nitrate removal efficiency in streams of the highly nitrate-enriched watershed as compared with that in similarly sized streams in the less nitrate-enriched watershed. Sensitivity analyses reveal that these important biogeochemical factors and physical hydrological factors contribute nearly equally to seasonal and stream-size related variations in the percentage of the stream nitrate flux removed in each watershed.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-008-9274-8","usgsCitation":"Alexander, R.B., Bohlke, J., Boyer, E.W., David, M.B., Harvey, J.W., Mulholland, P.J., Seitzinger, S.P., Tobias, C., Tonitto, C., and Wollheim, W.M., 2009, Dynamic modeling of nitrogen losses in river networks unravels the coupled effects of hydrological and biogeochemical processes: Biogeochemistry, v. 93, no. 1-2, p. 91-116, https://doi.org/10.1007/s10533-008-9274-8.","productDescription":"26 p.","startPage":"91","endPage":"116","ipdsId":"IP-006213","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-008-9274-8","text":"Publisher Index Page"},{"id":347471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1-2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-01-07","publicationStatus":"PW","scienceBaseUri":"5a07f85fe4b09af898c8ce16","contributors":{"authors":[{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":716342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":716343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":716344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David, Mark B.","contributorId":43255,"corporation":false,"usgs":false,"family":"David","given":"Mark","email":"","middleInitial":"B.","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":716345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":716346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulholland, Patrick J.","contributorId":112634,"corporation":false,"usgs":false,"family":"Mulholland","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":32968,"text":"Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":716347,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seitzinger, Sybil P.","contributorId":198506,"corporation":false,"usgs":false,"family":"Seitzinger","given":"Sybil","email":"","middleInitial":"P.","affiliations":[{"id":35252,"text":"Rutgers University, NJ","active":true,"usgs":false}],"preferred":false,"id":716348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tobias, Craig R.","contributorId":23410,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig R.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":716349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tonitto, Christina","contributorId":22168,"corporation":false,"usgs":false,"family":"Tonitto","given":"Christina","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":716350,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wollheim, Wilfred M.","contributorId":139742,"corporation":false,"usgs":false,"family":"Wollheim","given":"Wilfred","email":"","middleInitial":"M.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":716351,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70179749,"text":"70179749 - 2009 - High-frequency in situ optical measurements during a storm event: Assessing relationships between dissolved organic matter, sediment concentrations, and hydrologic processes","interactions":[],"lastModifiedDate":"2017-04-25T16:40:38","indexId":"70179749","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2308,"text":"Journal of Geological Research","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency in situ optical measurements during a storm event: Assessing relationships between dissolved organic matter, sediment concentrations, and hydrologic processes","docAbstract":"<p><span>Dissolved organic matter (DOM) dynamics during storm events has received considerable attention in forested watersheds, but the extent to which storms impart rapid changes in DOM concentration and composition in highly disturbed agricultural watersheds remains poorly understood. In this study, we used identical in situ optical sensors for DOM fluorescence (FDOM) with and without filtration to continuously evaluate surface water DOM dynamics in a 415 km</span><sup>2</sup><span>agricultural watershed over a 4 week period containing a short-duration rainfall event. Peak turbidity preceded peak discharge by 4 h and increased by over 2 orders of magnitude, while the peak filtered FDOM lagged behind peak turbidity by 15 h. FDOM values reported using the filtered in situ fluorometer increased nearly fourfold and were highly correlated with dissolved organic carbon (DOC) concentrations (r</span><sup>2</sup><span> = 0.97), providing a highly resolved proxy for DOC throughout the study period. Discrete optical properties including specific UV absorbance (SUVA</span><sub>254</sub><span>), spectral slope (S</span><sub>290–350</sub><span>), and fluorescence index (FI) were also strongly correlated with in situ FDOM and indicate a shift toward aromatic, high molecular weight DOM from terrestrially derived sources during the storm. The lag of the peak in FDOM behind peak discharge presumably reflects the draining of watershed soils from natural and agricultural landscapes. Field and experimental evidence showed that unfiltered FDOM measurements underestimated filtered FDOM concentrations by up to ∼60% at particle concentrations typical of many riverine systems during hydrologic events. Together, laboratory and in situ data provide insights into the timing and magnitude of changes in DOM quantity and quality during storm events in an agricultural watershed, and indicate the need for sample filtration in systems with moderate to high suspended sediment loads.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1029/2009JG000989","usgsCitation":"Saraceno, J.F., Pellerin, B.A., Downing, B.D., Boss, E., Bachand, P., and Bergamaschi, B., 2009, High-frequency in situ optical measurements during a storm event: Assessing relationships between dissolved organic matter, sediment concentrations, and hydrologic processes: Journal of Geological Research, v. 114, no. G4, Article G00F09; 11 p., https://doi.org/10.1029/2009JG000989.","productDescription":"Article G00F09; 11 p.","ipdsId":"IP-012904","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":476419,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jg000989","text":"Publisher Index Page"},{"id":333240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"G4","noUsgsAuthors":false,"publicationDate":"2009-12-29","publicationStatus":"PW","scienceBaseUri":"587f3db9e4b0d96de256455d","contributors":{"authors":[{"text":"Saraceno, John Franco 0000-0003-0064-1820 saraceno@usgs.gov","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":2328,"corporation":false,"usgs":true,"family":"Saraceno","given":"John","email":"saraceno@usgs.gov","middleInitial":"Franco","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":658524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boss, Emmanuel","contributorId":10143,"corporation":false,"usgs":true,"family":"Boss","given":"Emmanuel","affiliations":[],"preferred":false,"id":658526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, Philip A. M.","contributorId":139733,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip A. M.","affiliations":[{"id":12895,"text":"Bachand & Associates, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":658527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":658528,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193767,"text":"70193767 - 2009 - Investigation of aquifer-estuary interaction using wavelet analysis of fiber-optic temperature data","interactions":[],"lastModifiedDate":"2019-10-21T12:30:46","indexId":"70193767","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Investigation of aquifer-estuary interaction using wavelet analysis of fiber-optic temperature data","docAbstract":"<p>Fiber-optic distributed temperature sensing (FODTS) provides sub-minute temporal and meter-scale spatial resolution over kilometer-long cables. Compared to conventional thermistor or thermocouple-based technologies, which measure temperature at discrete (and commonly sparse) locations, FODTS offers nearly continuous spatial coverage, thus providing hydrologic information at spatiotemporal scales previously impossible. Large and information-rich FODTS datasets, however, pose challenges for data exploration and analysis. To date, FODTS analyses have focused on time-series variance as the means to discriminate between hydrologic phenomena. Here, we demonstrate the continuous wavelet transform (CWT) and cross-wavelet transform (XWT) to analyze FODTS in the context of related hydrologic time series. We apply the CWT and XWT to data from Waquoit Bay, Massachusetts to identify the location and timing of tidal pumping of submarine groundwater.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2008GL036926","usgsCitation":"Henderson, R., Day-Lewis, F.D., and Harvey, C.F., 2009, Investigation of aquifer-estuary interaction using wavelet analysis of fiber-optic temperature data: Geophysical Research Letters, v. 36, no. 6, L06403; 6 p., https://doi.org/10.1029/2008GL036926.","productDescription":"L06403; 6 p.","ipdsId":"IP-010693","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":488185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008gl036926","text":"Publisher Index Page"},{"id":348717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2009-03-31","publicationStatus":"PW","scienceBaseUri":"5a610cfde4b06e28e9c25765","contributors":{"authors":[{"text":"Henderson, R.D.","contributorId":14269,"corporation":false,"usgs":true,"family":"Henderson","given":"R.D.","email":"","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":720318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":720317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Charles F.","contributorId":199836,"corporation":false,"usgs":false,"family":"Harvey","given":"Charles","email":"","middleInitial":"F.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":720319,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70187395,"text":"70187395 - 2009 - Dust emission at Franklin Lake Playa, Mojave Desert (USA): Response to meteorological and hydrologic changes 2005-2008","interactions":[],"lastModifiedDate":"2017-05-01T15:36:44","indexId":"70187395","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2834,"text":"Natural Resources and Environmental Issues","active":true,"publicationSubtype":{"id":10}},"title":"Dust emission at Franklin Lake Playa, Mojave Desert (USA): Response to meteorological and hydrologic changes 2005-2008","docAbstract":"<p><span>Playa type, size, and setting; playa hydrology; and surface-sediment characteristics are important controls on the type and amount of atmospheric dust emitted from playas. Soft, evaporite-rich sediment develops on the surfaces of some Mojave Desert (USA) playas (wet playas), where the water table is shallow (&lt; 4 m). These areas are sources of atmospheric dust because of continuous or episodic replenishment of wind-erodible salts and disruption of the ground surface during salt formation by evaporation of ground water. Dust emission at Franklin Lake playa was monitored between March 2005 and April 2008. The dust record, based on day-time remote digital camera images captured during high wind, and compared with a nearby precipitation record, shows that aridity suppresses dust emission. High frequency of dust generation appears to be associated with relatively wet periods, identified as either heavy precipitation events or sustained regional precipitation over a few months. Several factors may act separately or in combination to account for this relation. Dust emission may respond rapidly to heavy precipitation when the dissolution of hard, wind-resistant evaporite mineral crusts is followed by the development of soft surfaces with thin, newly formed crusts that are vulnerable to wind erosion and (or) the production of loose aggregates of evaporite minerals that are quickly removed by even moderate winds. Dust loading may also increase when relatively high regional precipitation leads to decreasing depth to the water table, thereby increasing rates of vapor discharge, development of evaporite minerals, and temporary softening of playa surfaces. The seasonality of wind strength was not a major factor in dust-storm frequency at the playa. The lack of major dust emissions related to flood-derived sediment at Franklin Lake playa contrasts with some dry-lake systems elsewhere that may produce large amounts of dust from flood sediments. Flood sediments do not commonly accumulate on the surface of Franklin Lake playa because through-going drainage prevents frequent inundation and deposition of widespread flood sediment.</span></p>","language":"English","publisher":"Utah State University","usgsCitation":"Reynolds, R.L., Bogle, R., Vogel, J., Goldstein, H.L., and Yount, J., 2009, Dust emission at Franklin Lake Playa, Mojave Desert (USA): Response to meteorological and hydrologic changes 2005-2008: Natural Resources and Environmental Issues, v. 15, Article 18; 11 p,.","productDescription":"Article 18; 11 p,","ipdsId":"IP-007852","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340701,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.usu.edu/nrei/vol15/iss1/18"},{"id":340702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084936e4b0fc4e448ffda4","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogle, Rian rbogle@usgs.gov","contributorId":1915,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian","email":"rbogle@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":693824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, John","contributorId":99825,"corporation":false,"usgs":true,"family":"Vogel","given":"John","affiliations":[],"preferred":false,"id":693825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":147881,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yount, James","contributorId":65172,"corporation":false,"usgs":true,"family":"Yount","given":"James","affiliations":[],"preferred":false,"id":693827,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192799,"text":"70192799 - 2009 - CO2 storage resources, reserves, and reserve growth: Toward a methodology for integrated assessment of the storage capacity of oil and gas reservoirs and saline formations","interactions":[],"lastModifiedDate":"2021-03-18T17:19:52.796545","indexId":"70192799","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5215,"text":"Energy Procedia","onlineIssn":"1876-6102","active":true,"publicationSubtype":{"id":10}},"displayTitle":"CO<sub>2</sub> storage resources, reserves, and reserve growth: Toward a methodology for integrated assessment of the storage capacity of oil and gas reservoirs and saline formations","title":"CO2 storage resources, reserves, and reserve growth: Toward a methodology for integrated assessment of the storage capacity of oil and gas reservoirs and saline formations","docAbstract":"<p><span>Geologically based methodologies to assess the possible volumes of subsurface CO</span><sub>2</sub><span>&nbsp;storage must apply clear and uniform definitions of resource and reserve concepts to each assessment unit (AU). Application of the current state of knowledge of geologic, hydrologic, geochemical, and geophysical parameters (contingencies) that control storage volume and injectivity allows definition of the contingent resource (CR) of storage. The parameters known with the greatest certainty are based on observations on known traps (KTs) within the AU that produced oil, gas, and water. The aggregate volume of KTs within an AU defines the most conservation volume of contingent resource. Application of the concept of reserve growth to CR volume provides a logical path for subsequent reevaluation of the total resource as knowledge of CO</span><sub>2</sub><span>&nbsp;storage processes increases during implementation of storage projects. Increased knowledge of storage performance over time will probably allow the volume of the contingent resource of storage to grow over time, although negative growth is possible.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2009.02.036","usgsCitation":"Burruss, R., 2009, CO2 storage resources, reserves, and reserve growth: Toward a methodology for integrated assessment of the storage capacity of oil and gas reservoirs and saline formations: Energy Procedia, v. 1, no. 1, p. 2679-2683, https://doi.org/10.1016/j.egypro.2009.02.036.","productDescription":"5 p.","startPage":"2679","endPage":"2683","ipdsId":"IP-009941","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":476308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2009.02.036","text":"Publisher Index Page"},{"id":348700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610cfee4b06e28e9c2576f","contributors":{"authors":[{"text":"Burruss, Robert 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":146833,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":716977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190436,"text":"70190436 - 2009 - Geochemical evolution of a high arsenic, alkaline pit-lake in the Mother Lode Gold District, California","interactions":[],"lastModifiedDate":"2017-08-31T11:17:18","indexId":"70190436","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evolution of a high arsenic, alkaline pit-lake in the Mother Lode Gold District, California","docAbstract":"<p id=\"p-1\">The Harvard orebody at the Jamestown gold mine, located along the Melones fault zone in the southern Mother Lode gold district, California, was mined in an open-pit operation from 1987 to 1994. Dewatering during mining produced a hydrologic cone of depression; recovery toward the premining ground-water configuration produced a monomictic pit lake with alkaline Ca-Mg-HCO<sub>3</sub>-SO<sub>4</sub>–type pit water, concentrations of As up to 1,200<span>&nbsp;</span><i>μ</i>g/L, and total dissolved solids (TDS) up to 2,000 mg/L. In this study, pit-wall rocks were mapped and chemically analyzed to provide a context for evaluating observed variability in the composition of the pit-lake waters in relationship to seasonal weather patterns. An integrated hydrogeochemical model of pit-lake evolution based on observations of pit-lake volume, water composition (samples collected between 1998–2000, 2004), and processes occurring on pit walls was developed in three stages using the computer code PHREEQC. Stage 1 takes account of seasonally variable water fluxes from precipitation, evaporation, springs, and ground water, as well as lake stratification and mixing processes. Stage 2 adds CO<sub>2</sub>fluxes and wall-rock interactions, and stage 3 assesses the predictive capability of the model.</p><p id=\"p-2\">Two major geologic units in fault contact comprise the pit walls. The hanging wall is composed of interlayered slate, metavolcanic and metavolcaniclastic rocks, and schists; the footwall rocks are chlorite-actinolite and talc-tremolite schists generated by metasomatism of greenschist-facies mafic and ultramafic igneous rocks. Alteration in the ore zone provides evidence for mineralizing fluids that introduced CO<sub>2</sub>, S, and K<sub>2</sub>O, and redistributed SiO<sub>2</sub>. Arsenian pyrite associated with the alteration weathers to produce goethite and jarosite on pit walls and in joints, as well as copiapite and hexahydrite efflorescences that accumulate on wall-rock faces during dry California summers. All of these pyrite weathering products incorporate arsenic at concentrations from &lt;100 up to 1,200 ppm. In the pit lake, pH and TDS reach seasonal highs in the summer epilimnion; pH is lowest in the summer hypolimnion. Arsenic and bicarbonate covary in the hypolimnion, rising as stratification proceeds and declining during winter rains. The computational model suggests that water fluxes alone do not account for this seasonal variability. Loss of CO<sub>2</sub><span>&nbsp;</span>to the atmosphere, interaction with pit walls including washoff of efflorescent salts during the first flush and seasonal rainfall, and arsenic sorption appear to contribute to the observed pit-lake characteristics.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.104.8.1171","usgsCitation":"Savage, K.S., Ashley, R.P., and Bird, D.K., 2009, Geochemical evolution of a high arsenic, alkaline pit-lake in the Mother Lode Gold District, California: Economic Geology, v. 104, no. 8, p. 1171-1211, https://doi.org/10.2113/gsecongeo.104.8.1171.","productDescription":"41 p.","startPage":"1171","endPage":"1211","ipdsId":"IP-012322","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":345385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mother Lode Gold District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.44079780578613,\n              37.94027155343197\n            ],\n            [\n              -120.43006896972655,\n              37.94027155343197\n            ],\n            [\n              -120.43006896972655,\n              37.94852933714952\n            ],\n            [\n              -120.44079780578613,\n              37.94852933714952\n            ],\n            [\n              -120.44079780578613,\n              37.94027155343197\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"104","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-12","publicationStatus":"PW","scienceBaseUri":"59a92042e4b07e1a023ccdb0","contributors":{"authors":[{"text":"Savage, Kaye S.","contributorId":196059,"corporation":false,"usgs":false,"family":"Savage","given":"Kaye","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":709155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashley, Roger P. ashley@usgs.gov","contributorId":2749,"corporation":false,"usgs":true,"family":"Ashley","given":"Roger","email":"ashley@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":709156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Dennis K.","contributorId":9339,"corporation":false,"usgs":true,"family":"Bird","given":"Dennis","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":709157,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189184,"text":"70189184 - 2009 - Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function","interactions":[],"lastModifiedDate":"2018-04-03T11:20:23","indexId":"70189184","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function","docAbstract":"<p><span>We evaluate the utility of three interrelated means of using data to calibrate the fully distributed rainfall‐runoff model TOPKAPI as applied to the Maggia Valley drainage area in Switzerland. The use of error‐based weighting of observation and prior information data, local sensitivity analysis, and single‐objective function nonlinear regression provides quantitative evaluation of sensitivity of the 35 model parameters to the data, identification of data types most important to the calibration, and identification of correlations among parameters that contribute to nonuniqueness. Sensitivity analysis required only 71 model runs, and regression required about 50 model runs. The approach presented appears to be ideal for evaluation of models with long run times or as a preliminary step to more computationally demanding methods. The statistics used include composite scaled sensitivities, parameter correlation coefficients, leverage, Cook's D, and DFBETAS. Tests suggest predictive ability of the calibrated model typical of hydrologic models.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008WR007255","usgsCitation":"Foglia, L., Hill, M.C., Mehl, S.W., and Burlando, P., 2009, Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function: Water Resources Research, v. 45, no. 6, Article W06427; 18 p., https://doi.org/10.1029/2008WR007255.","productDescription":"Article W06427; 18 p.","ipdsId":"IP-011230","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2009-06-24","publicationStatus":"PW","scienceBaseUri":"595f4c49e4b0d1f9f057e395","contributors":{"authors":[{"text":"Foglia, L.","contributorId":6251,"corporation":false,"usgs":true,"family":"Foglia","given":"L.","affiliations":[],"preferred":false,"id":703397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mehl, Steffen W. swmehl@usgs.gov","contributorId":975,"corporation":false,"usgs":true,"family":"Mehl","given":"Steffen","email":"swmehl@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":703396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burlando, P.","contributorId":29209,"corporation":false,"usgs":true,"family":"Burlando","given":"P.","affiliations":[],"preferred":false,"id":703398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194451,"text":"70194451 - 2009 - Distributed geospatial model sharing based on open interoperability standards","interactions":[],"lastModifiedDate":"2017-11-29T12:59:09","indexId":"70194451","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5571,"text":"Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Distributed geospatial model sharing based on open interoperability standards","docAbstract":"<p>Numerous geospatial computational models have been developed based on sound principles and published in journals or presented in conferences. However modelers have made few advances in the development of computable modules that facilitate sharing during model development or utilization. Constraints hampering development of model sharing technology includes limitations on computing, storage, and connectivity; traditional stand-alone and closed network systems cannot fully support sharing and integrating geospatial models. To address this need, we have identified methods for sharing geospatial computational models using Service Oriented Architecture (SOA) techniques and open geospatial standards. The service-oriented model sharing service is accessible using any tools or systems compliant with open geospatial standards, making it possible to utilize vast scientific resources available from around the world to solve highly sophisticated application problems. The methods also allow model services to be empowered by diverse computational devices and technologies, such as portable devices and GRID computing infrastructures. Based on the generic and abstract operations and data structures required for Web Processing Service (WPS) standards, we developed an interactive interface for model sharing to help reduce interoperability problems for model use. Geospatial computational models are shared on model services, where the computational processes provided by models can be accessed through tools and systems compliant with WPS. We developed a platform to help modelers publish individual models in a simplified and efficient way. Finally, we illustrate our technique using wetland hydrological models we developed for the prairie pothole region of North America.</p>","language":"English","publisher":"Journal of Remote Sensing","usgsCitation":"Feng, M., Liu, S., Euliss, N.H., and Fang, Y., 2009, Distributed geospatial model sharing based on open interoperability standards: Journal of Remote Sensing, v. 13, no. 6, p. 1060-1066.","productDescription":"7 p.","startPage":"1060","endPage":"1066","ipdsId":"IP-014691","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":349530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610cfbe4b06e28e9c25753","contributors":{"authors":[{"text":"Feng, Min","contributorId":75370,"corporation":false,"usgs":true,"family":"Feng","given":"Min","email":"","affiliations":[],"preferred":false,"id":723906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":723905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":723904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fang, Yin","contributorId":200996,"corporation":false,"usgs":false,"family":"Fang","given":"Yin","email":"","affiliations":[],"preferred":false,"id":724033,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176158,"text":"70176158 - 2009 - U.S. Geological Survey research in Handcart Gulch, Colorado—An alpine watershed with natural acid-rock drainage","interactions":[{"subject":{"id":70176158,"text":"70176158 - 2009 - U.S. Geological Survey research in Handcart Gulch, Colorado—An alpine watershed with natural acid-rock drainage","indexId":"70176158","publicationYear":"2009","noYear":false,"title":"U.S. Geological Survey research in Handcart Gulch, Colorado—An alpine watershed with natural acid-rock drainage"},"predicate":"IS_PART_OF","object":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"id":1}],"isPartOf":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"lastModifiedDate":"2017-09-26T09:56:11","indexId":"70176158","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S. Geological Survey research in Handcart Gulch, Colorado—An alpine watershed with natural acid-rock drainage","docAbstract":"<p>Handcart Gulch is an alpine watershed along the Continental Divide in the Colorado Rocky Mountain Front Range. It contains an unmined mineral deposit typical of many hydrothermal mineral deposits in the intermountain west, composed primarily of pyrite with trace metals including copper and molybdenum. Springs and the trunk stream have a natural pH value of 3 to 4. The U.S. Geological Survey began integrated research activities at the site in 2003 with the objective of better understanding geologic, geochemical, and hydrologic controls on naturally occurring acid-rock drainage in alpine watersheds. Characterizing the role of groundwater was of particular interest because mountain watersheds containing metallic mineral deposits are often underlain by complexly deformed crystalline rocks in which groundwater flow is poorly understood. Site infrastructure currently includes 4 deep monitoring wells high in the watershed (300&ndash; 1,200 ft deep), 4 bedrock (100&ndash;170 ft deep) and 5 shallow (10&ndash;30 ft deep) monitoring wells along the trunk stream, a stream gage, and a meteorological station. Work to date at the site includes: geologic mapping and structural analysis; surface sample and drill core mineralogic characterization; geophysical borehole logging; aquifer testing; monitoring of groundwater hydraulic heads and streamflows; a stream tracer dilution study; repeated sampling of surface and groundwater for geochemical analyses, including major and trace elements, several isotopes, and groundwater age dating; and construction of groundwater flow&nbsp;models. The unique dataset collected at Handcart Gulch has yielded several important findings about bedrock groundwater flow at the site. Most importantly, we find that bedrock bulk permeability is nontrivial and that bedrock groundwater apparently constitutes a substantial fraction of the hydrologic budget. This means that bedrock groundwater commonly may be an underappreciated component of the hydrologic system in studies of alpine watersheds. Additionally, despite the complexity of the fracture controlled aquifer system, it appears that it can be represented with a relatively simple conceptual model and can be treated as an equivalent porous medium at the watershed scale. Interpretation of existing data, collection of new monitoring data, and efforts to link geochemical and hydrologic processes through modeling are ongoing at the site.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"Third interagency conference on research in the watersheds","conferenceDate":"September 8-11, 2008","conferenceLocation":"Estes Park, CO","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Manning, A.H., Caine, J.S., Verplanck, P.L., Bove, D.J., and Kahn, K., 2009, U.S. Geological Survey research in Handcart Gulch, Colorado—An alpine watershed with natural acid-rock drainage, <i>in</i> Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049), Estes Park, CO, September 8-11, 2008, p. 97-102.","productDescription":"6 p.","startPage":"97","endPage":"102","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":328060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328059,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5049/pdf/Manning.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Handcart Gulch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.79267501831055,\n              39.4925165621885\n            ],\n            [\n              -105.7964515686035,\n              39.47688306187988\n            ],\n            [\n              -105.75525283813477,\n              39.46124604730335\n            ],\n            [\n              -105.74907302856444,\n              39.479533055046645\n            ],\n            [\n              -105.79267501831055,\n              39.4925165621885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6b1b2e4b0f2f0cebe7361","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":647515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bove, Dana J. dbove@usgs.gov","contributorId":4855,"corporation":false,"usgs":true,"family":"Bove","given":"Dana","email":"dbove@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":647517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kahn, Katherine G.","contributorId":174149,"corporation":false,"usgs":false,"family":"Kahn","given":"Katherine G.","affiliations":[],"preferred":false,"id":647518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176155,"text":"70176155 - 2009 - Evaluating hydrological response to forecasted land-use change—scenario testing with the automated geospatial watershed assessment (AGWA) tool","interactions":[{"subject":{"id":70176155,"text":"70176155 - 2009 - Evaluating hydrological response to forecasted land-use change—scenario testing with the automated geospatial watershed assessment (AGWA) tool","indexId":"70176155","publicationYear":"2009","noYear":false,"title":"Evaluating hydrological response to forecasted land-use change—scenario testing with the automated geospatial watershed assessment (AGWA) tool"},"predicate":"IS_PART_OF","object":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"id":1}],"isPartOf":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"lastModifiedDate":"2016-08-30T13:29:02","indexId":"70176155","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating hydrological response to forecasted land-use change—scenario testing with the automated geospatial watershed assessment (AGWA) tool","docAbstract":"<p>Envisioning and evaluating future scenarios has emerged as a critical component of both science and social decision-making. The ability to assess, report, map, and forecast the life support functions of ecosystems is absolutely critical to our capacity to make informed decisions to maintain the sustainable nature of our ecosystem services now and into the future. During the past two decades, important advances in the integration of remote imagery, computer processing, and spatial-analysis technologies have been used to develop landscape information that can be integrated with hydrologic models to determine long-term change and make predictive inferences about the future. Two diverse case studies in northwest Oregon (Willamette River basin) and southeastern Arizona (San Pedro River) were examined in regard to future land use scenarios relative to their impact on surface water conditions (e.g., sediment yield and surface runoff) using hydrologic models associated with the Automated Geospatial Watershed Assessment (AGWA) tool. The base reference grid for land cover was modified in both study locations to reflect stakeholder&nbsp;preferences 20 to 60 yrs into the future, and the consequences of landscape change were evaluated relative to the selected future scenarios. The two studies provide examples of integrating hydrologic modeling with a scenario analysis framework to evaluate plausible future forecasts and to understand the potential impact of landscape change on ecosystem services.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"Third interagency conference on research in the watersheds","conferenceDate":"September 8-11, 2008","conferenceLocation":"Estes Park, CO","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Kepner, W.G., Semmens, D.J., Hernandez, M., and Goodrich, D.C., 2009, Evaluating hydrological response to forecasted land-use change—scenario testing with the automated geospatial watershed assessment (AGWA) tool, <i>in</i> Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049), Estes Park, CO, September 8-11, 2008, p. 79-84.","productDescription":"6 p.","startPage":"79","endPage":"84","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":328055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328054,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5049/pdf/Kepner.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6af4ae4b0f2f0cebe4b6e","contributors":{"authors":[{"text":"Kepner, William G.","contributorId":174144,"corporation":false,"usgs":false,"family":"Kepner","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":647497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":647498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez, Mariano","contributorId":174145,"corporation":false,"usgs":false,"family":"Hernandez","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":647499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodrich, David C.","contributorId":65552,"corporation":false,"usgs":false,"family":"Goodrich","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":647500,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156371,"text":"70156371 - 2009 - After the disaster: The hydrogeomorphic, ecological, and biological responses to the 1980 eruption of Mount St. Helens, Washington","interactions":[],"lastModifiedDate":"2021-10-21T14:34:03.726485","indexId":"70156371","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"After the disaster: The hydrogeomorphic, ecological, and biological responses to the 1980 eruption of Mount St. Helens, Washington","docAbstract":"<p><span>The 1980 eruption of Mount St. Helens caused instantaneous landscape disturbance on a grand scale. On 18 May 1980, an ensemble of volcanic processes, including a debris avalanche, a directed pyroclastic density current, voluminous lahars, and widespread tephra fall, abruptly altered landscape hydrology and geomorphology, and created distinctive disturbance zones having varying impacts on regional biota. Response to the geological and ecological disturbances has been varied and complex. In general, eruption-induced alterations in landscape hydrology and geomorphology led to enhanced stormflow discharge and sediment transport. Although the hydrological response to landscape perturbation has diminished, enhanced sediment transport persists in some basins. In the nearly 30 years since the eruption, 350 million (metric) tons of suspended sediment has been delivered from the Toutle River watershed to the Cowlitz River (roughly 40 times the average annual preeruption suspended-sediment discharge of the Columbia River). Such prodigious sediment loading has wreaked considerable socioeconomic havoc, causing significant channel aggradation and loss of flood conveyance capacity. Significant and ongoing engineering efforts have been required to mitigate these problems. The overall biological evolution of the eruption-impacted landscape can be viewed in terms of a framework of survivor legacies. Despite appearances to the contrary, a surprising number of species survived the eruption, even in the most heavily devastated areas. With time, survivor &ldquo;hotspots&rdquo; have coalesced into larger patches, and have served as stepping stones for immigrant colonization. The importance of biological legacies will diminish with time, but the intertwined trajectories of geophysical and biological successions will influence the geological and biological responses to the 1980 eruption for decades to come.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Volcanoes to vineyards: Geologic field trips through the dynamic landscape of the Pacific Northwest","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","usgsCitation":"Major, J.J., Crisafulli, C., and Bishop, J., 2009, After the disaster: The hydrogeomorphic, ecological, and biological responses to the 1980 eruption of Mount St. Helens, Washington, chap. <i>of</i> Volcanoes to vineyards: Geologic field trips through the dynamic landscape of the Pacific Northwest, p. 111-134.","productDescription":"24 p.","startPage":"111","endPage":"134","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014552","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":307024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.28813171386719,\n              46.043212267295026\n            ],\n            [\n              -122.28813171386719,\n              46.28717293114449\n            ],\n            [\n              -121.99012756347658,\n              46.28717293114449\n            ],\n            [\n              -121.99012756347658,\n              46.043212267295026\n            ],\n            [\n              -122.28813171386719,\n              46.043212267295026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8487e4b0824b2d1490b4","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":568924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crisafulli, Charlie","contributorId":92140,"corporation":false,"usgs":true,"family":"Crisafulli","given":"Charlie","affiliations":[],"preferred":false,"id":568925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, John","contributorId":146771,"corporation":false,"usgs":false,"family":"Bishop","given":"John","email":"","affiliations":[],"preferred":false,"id":568926,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176169,"text":"70176169 - 2009 - Primary factors affecting water quality and quantity in four watersheds in Eastern Puerto Rico","interactions":[{"subject":{"id":70176169,"text":"70176169 - 2009 - Primary factors affecting water quality and quantity in four watersheds in Eastern Puerto Rico","indexId":"70176169","publicationYear":"2009","noYear":false,"title":"Primary factors affecting water quality and quantity in four watersheds in Eastern Puerto Rico"},"predicate":"IS_PART_OF","object":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"id":1}],"isPartOf":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"lastModifiedDate":"2016-08-30T16:14:16","indexId":"70176169","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Primary factors affecting water quality and quantity in four watersheds in Eastern Puerto Rico","docAbstract":"<p>As part of the U.S. Geological Survey (USGS) Water, Energy, and Biogeochemical Budgets (WEBB) program, four small watersheds in eastern Puerto Rico were monitored to identify and evaluate the effects of geology, landcover, atmospheric deposition, and other factors on stream water quality and quantity. Two catchments are located on coarse-grained granitic plutonic rocks, which weather to quartz- and clay-rich, sandy soils, and two are located on fine-grained volcanic rocks and volcaniclastic sediments, which weather to quartz-poor, fine-grained soils. These differing soil materials result in different hydrologic regimes. Soils on the granitic rocks have greater permeability than those developed on the volcaniclastic rocks, allowing more water infiltration and potentially greater landslide erosion rates. For each bedrock type, one catchment was covered with mature rainforest, and the other catchment was affected by agricultural practices typical of eastern Puerto Rico. These practices led to the erosion of much of the original surface soil in the agricultural watersheds, which introduced large quantities of sediment to stream channels. The agricultural watersheds are undergoing natural reforestation, like much of Puerto Rico. Eastern Puerto Rico receives large atmospheric inputs of marine salts, pollutants from the Northern Hemisphere, and Saharan Desert dust. Marine salts contribute over 80 percent of the ionic charge in precipitation, with peak inputs in January. Intense storms, mostly hurricanes, are associated with exceptionally high chloride concentrations in stream waters. Temperate pollution contributes nitrate, ammonia, and sulfate, with maximum inputs during northern cold fronts in January, April, and May. Pollution inputs have increased through time. Desert dust peaks in June and July, during times of maximum dust transport from the Saharan Desert across the Atlantic Ocean.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"Third interagency conference on research in the watersheds","conferenceDate":"September 8-11, 2008","conferenceLocation":"Estes Park, CO","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Murphy, S.F., and Stallard, R.F., 2009, Primary factors affecting water quality and quantity in four watersheds in Eastern Puerto Rico, <i>in</i> Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049), Estes Park, CO, September 8-11, 2008, p. 251-256.","productDescription":"6 p.","startPage":"251","endPage":"256","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":5044,"text":"National Research Program - 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,{"id":70176166,"text":"70176166 - 2009 - Responses of benthic macroinvertebrates to urbanization in nine metropolitan areas of the conterminous United States","interactions":[{"subject":{"id":70176166,"text":"70176166 - 2009 - Responses of benthic macroinvertebrates to urbanization in nine metropolitan areas of the conterminous United States","indexId":"70176166","publicationYear":"2009","noYear":false,"title":"Responses of benthic macroinvertebrates to urbanization in nine metropolitan areas of the conterminous United States"},"predicate":"IS_PART_OF","object":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"id":1}],"isPartOf":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"lastModifiedDate":"2016-08-30T15:49:46","indexId":"70176166","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Responses of benthic macroinvertebrates to urbanization in nine metropolitan areas of the conterminous United States","docAbstract":"<p>The effects of urbanization on benthic macroinvertebrates were investigated in nine metropolitan areas (Boston, MA; Raleigh, NC; Atlanta, GA; Birmingham, AL; Milwaukee&ndash;Green Bay, WI; Denver, CO; Dallas&ndash;Fort Worth, TX; Salt Lake City, UT; and Portland, OR) as a part of the U.S. Geological Survey National Water Quality Assessment Program. Several invertebrate metrics showed strong, linear responses to urbanization when forest or shrublands were developed. Responses were difficult to discern in areas where urbanization was occurring on agricultural lands because invertebrate assemblages were already severely degraded. There was no evidence that assemblages showed any initial resistance to urbanization. Ordination scores, EPT taxa richness, and the average tolerance of organisms were the best indicators of changes in assemblage condition at a site. Richness metrics were better indicators than abundance metrics, and qualitative samples were as good as quantitative samples. A common set of landscape variables (population density, housing density, developed landcover, impervious surface, and roads) were strongly correlated with urbanization and invertebrate responses in all non-agricultural areas. The instream environmental variables (hydrology, water chemistry, habitat, and temperature) that were strongly correlated with urbanization and invertebrate responses were influenced by environmental setting (e.g., dominant ecoregion) and varied widely among metropolitan areas. Multilevel hierarchical regression&nbsp;models were developed that predicted invertebrate responses using only two landcover variables&mdash;basinscale landcover (percentage of basin area in developed land) and regional-scale landcover (antecedent agricultural land).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"Third interagency conference on research in the watersheds","conferenceDate":"September 8-11, 2008","conferenceLocation":"Estes Park, CO","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Cuffney, T., McMahon, G., Kashuba, R., May, J., and Waite, I., 2009, Responses of benthic macroinvertebrates to urbanization in nine metropolitan areas of the conterminous United States, <i>in</i> Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049), Estes Park, CO, September 8-11, 2008, p. 187-194.","productDescription":"8 p.","startPage":"187","endPage":"194","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":328073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328072,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5049/pdf/Cuffney.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6b108e4b0f2f0cebe676b","contributors":{"authors":[{"text":"Cuffney, T. F.","contributorId":108134,"corporation":false,"usgs":true,"family":"Cuffney","given":"T. F.","affiliations":[],"preferred":false,"id":647532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, G.","contributorId":87263,"corporation":false,"usgs":true,"family":"McMahon","given":"G.","email":"","affiliations":[],"preferred":false,"id":647533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kashuba, R.","contributorId":104726,"corporation":false,"usgs":true,"family":"Kashuba","given":"R.","email":"","affiliations":[],"preferred":false,"id":647534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, J. T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":72505,"corporation":false,"usgs":true,"family":"May","given":"J. T.","affiliations":[],"preferred":false,"id":647535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waite, I.R.","contributorId":41039,"corporation":false,"usgs":true,"family":"Waite","given":"I.R.","email":"","affiliations":[],"preferred":false,"id":647536,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176165,"text":"70176165 - 2009 - Flowpath contributions of weathering products to stream fluxes at the Panola Mountain Research Watershed, Georgia","interactions":[{"subject":{"id":70176165,"text":"70176165 - 2009 - Flowpath contributions of weathering products to stream fluxes at the Panola Mountain Research Watershed, Georgia","indexId":"70176165","publicationYear":"2009","noYear":false,"title":"Flowpath contributions of weathering products to stream fluxes at the Panola Mountain Research Watershed, Georgia"},"predicate":"IS_PART_OF","object":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"id":1}],"isPartOf":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"lastModifiedDate":"2016-08-30T15:39:46","indexId":"70176165","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Flowpath contributions of weathering products to stream fluxes at the Panola Mountain Research Watershed, Georgia","docAbstract":"<p>Short-term weathering rates (chemical denudation) of primary weathering products were derived from an analysis of fluxes in precipitation and streamwater. Rainfall, streamflow (runoff), and related water quality have been monitored at the Panola Mountain Research Watershed (PMRW) since 1985. Regression relations of stream solute concentration of major ions including weathering products [sodium (Na), magnesium (Mg), calcium (Ca) and silica (H4SiO4)] were derived from weekly and storm-based sampling from October 1986 through September 1998; runoff, seasonality, and hydrologic state were the primary independent variables. The regression relations explained from 74 to 90 percent of the variations in solute concentration. Chloride (Cl) fluxes for the study period were used to estimate dry atmospheric deposition (DAD) by subtracting the precipitation flux from the stream flux; net Cl flux varied from years of net retention during dry years to &gt;3 times more exported during wet years. On average, DAD was 56 percent of the total atmospheric deposition (also assumed for the other solutes); average annual net cation and H4SiO4 fluxes were 50.6 and 85.9 mmol m-2, respectively. The annual cumulative density functions of solute flux as a function of runoff were evaluated and compared among solutes to evaluate relative changes in solute sources during stormflows. Stream flux of weathering solutes is primarily associated with groundwater discharge. During stormflow, Ca and Mg contributions increase relative to Na and H4SiO4, particularly during wet years when the contribution is 10 percent of the annual flux. The higher Ca and Mg contributions to the stream during stormflow are consistent with increased contribution from shallow soil horizons where these solutes dominate.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"Third interagency conference on research in the watersheds","conferenceDate":"September 8-11, 2008","conferenceLocation":"Estes Park, CO","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Peters, N.E., and Aulenbach, B.T., 2009, Flowpath contributions of weathering products to stream fluxes at the Panola Mountain Research Watershed, Georgia, <i>in</i> Planning for an uncertain future - Monitoring, integration, and adaptation (SIR 2009-5049), Estes Park, CO, September 8-11, 2008, p. 177-185.","productDescription":"9 p.","startPage":"177","endPage":"185","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":328071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328070,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5049/pdf/Peters.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6af81e4b0f2f0cebe4e15","contributors":{"authors":[{"text":"Peters, Norman E. nepeters@usgs.gov","contributorId":1324,"corporation":false,"usgs":true,"family":"Peters","given":"Norman","email":"nepeters@usgs.gov","middleInitial":"E.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647531,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176163,"text":"70176163 - 2009 - Using a coupled groundwater/surfacewater model to predict climate-change impacts to lakes in the Trout Lake watershed, Northern Wisconsin","interactions":[{"subject":{"id":70176163,"text":"70176163 - 2009 - Using a coupled groundwater/surfacewater model to predict climate-change impacts to lakes in the Trout Lake watershed, Northern Wisconsin","indexId":"70176163","publicationYear":"2009","noYear":false,"title":"Using a coupled groundwater/surfacewater model to predict climate-change impacts to lakes in the Trout Lake watershed, Northern Wisconsin"},"predicate":"IS_PART_OF","object":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"id":1}],"isPartOf":{"id":97928,"text":"sir20095049 - 2009 - Planning for an uncertain future - Monitoring, integration, and adaptation","indexId":"sir20095049","publicationYear":"2009","noYear":false,"title":"Planning for an uncertain future - Monitoring, integration, and adaptation"},"lastModifiedDate":"2016-08-30T15:24:37","indexId":"70176163","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using a coupled groundwater/surfacewater model to predict climate-change impacts to lakes in the Trout Lake watershed, Northern Wisconsin","docAbstract":"<p>A major focus of the U.S. Geological Survey&rsquo;s Trout Lake Water, Energy, and Biogeochemical Budgets (WEBB) project is the development of a watershed model to allow predictions of hydrologic response to future conditions including land-use and climate change. The coupled groundwater/surface-water model GSFLOW was chosen for this purpose because it could easily incorporate an existing groundwater flow model and it provides for simulation of surface-water processes. The Trout Lake watershed in northern Wisconsin is underlain by a highly conductive outwash sand aquifer. In this area, streamflow is dominated by groundwater contributions; however, surface runoff occurs during intense rainfall periods and spring snowmelt. Surface runoff also occurs locally near stream/lake areas where the unsaturated zone is thin. A diverse data set, collected from 1992 to 2007 for the Trout Lake WEBB project and the co-located and NSF-funded North Temperate Lakes LTER project, includes snowpack, solar radiation, potential evapotranspiration, lake levels, groundwater levels, and streamflow. The timeseries processing software TSPROC (Doherty 2003) was used to distill the large time series data set to a smaller set of observations and summary statistics that captured the salient hydrologic information. The timeseries processing reduced hundreds of thousands of observations to less than 5,000. Model calibration included specific predictions for several lakes in the study area using the PEST parameter estimation suite of software (Doherty 2007). The calibrated model was used to simulate the hydrologic response in the study&nbsp;lakes to a variety of climate change scenarios culled from the IPCC Fourth Assessment Report of the Intergovernmental Panel on Climate Change (Solomon et al. 2007). Results from the simulations indicate climate change could result in substantial changes to the lake levels and components of the hydrologic budget of a seepage lake in the flow system. For a drainage lake lower in the flow system, the impacts of climate change are diminished.&nbsp;</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Planning for an uncertain future - Monitoring, integration, and adaptation (SIR2009-5049)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"conferenceTitle":"Third interagency conference on research in the watersheds","conferenceDate":"September 8-11, 2008","conferenceLocation":"Estes Park, CO","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Walker, J.F., Hunt, R.J., Markstrom, S., Hay, L.E., and Doherty, J., 2009, Using a coupled groundwater/surfacewater model to predict climate-change impacts to lakes in the Trout Lake watershed, Northern Wisconsin, <i>in</i> Planning for an uncertain future - Monitoring, integration, and adaptation (SIR2009-5049), Estes Park, CO, September 8-11, 2008, p. 155-161.","productDescription":"6 p.","startPage":"155","endPage":"161","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":328067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328066,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5049/pdf/Walker.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c6b1b6e4b0f2f0cebe73c4","contributors":{"authors":[{"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":647522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":647523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":647524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doherty, John","contributorId":43843,"corporation":false,"usgs":true,"family":"Doherty","given":"John","affiliations":[],"preferred":false,"id":647526,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173864,"text":"70173864 - 2009 - Interactions between soil thermal and hydrological dynamics in the response of Alaska ecosystems to fire disturbance","interactions":[],"lastModifiedDate":"2021-03-22T15:19:37.031321","indexId":"70173864","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between soil thermal and hydrological dynamics in the response of Alaska ecosystems to fire disturbance","docAbstract":"<p><span>Soil temperature and moisture are important factors that control many ecosystem processes. However, interactions between soil thermal and hydrological processes are not adequately understood in cold regions, where the frozen soil, fire disturbance, and soil drainage play important roles in controlling interactions among these processes. These interactions were investigated with a new ecosystem model framework, the dynamic organic soil version of the Terrestrial Ecosystem Model, that incorporates an efficient and stable numerical scheme for simulating soil thermal and hydrological dynamics within soil profiles that contain a live moss horizon, fibrous and amorphous organic horizons, and mineral soil horizons. The performance of the model was evaluated for a tundra burn site that had both preburn and postburn measurements, two black spruce fire chronosequences (representing space-for-time substitutions in well and intermediately drained conditions), and a poorly drained black spruce site. Although space-for-time substitutions present challenges in model-data comparison, the model demonstrates substantial ability in simulating the dynamics of evapotranspiration, soil temperature, active layer depth, soil moisture, and water table depth in response to both climate variability and fire disturbance. Several differences between model simulations and field measurements identified key challenges for evaluating/improving model performance that include (1) proper representation of discrepancies between air temperature and ground surface temperature; (2) minimization of precipitation biases in the driving data sets; (3) improvement of the measurement accuracy of soil moisture in surface organic horizons; and (4) proper specification of organic horizon depth/properties, and soil thermal conductivity.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008JG000841","usgsCitation":"Yi, S., McGuire, A.D., Harden, J., Kasischke, E., Manies, K.L., Hinzman, L., Liljedahl, A.K., Randerson, J., Liu, H., Romanovsky, V.E., Marchenko, S., and Kim, Y., 2009, Interactions between soil thermal and hydrological dynamics in the response of Alaska ecosystems to fire disturbance: Journal of Geophysical Research: Biogeosciences, v. 114, no. 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,{"id":70193768,"text":"70193768 - 2009 - Combined use of frequency‐domain electromagnetic and electrical resistivity surveys to delineate the freshwater/saltwater interface near saline lakes in the Nebraska Sand Hills, Nebraska, USA","interactions":[],"lastModifiedDate":"2020-03-10T14:48:26","indexId":"70193768","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5547,"text":"Proceedings of SAGEEP (Symposium on the Application of Geophysics to Engineering and Environmental Problems)","printIssn":"1554-8015","active":true,"publicationSubtype":{"id":19}},"title":"Combined use of frequency‐domain electromagnetic and electrical resistivity surveys to delineate the freshwater/saltwater interface near saline lakes in the Nebraska Sand Hills, Nebraska, USA","docAbstract":"<div>We investigate the use of frequency‐domain electromagnetic (FDEM) and electrical resistivity (ER) surveys for rapid and detailed characterization of the direction of lake‐aquifer fluxes and the configuration of salt plumes generated from saline lakes. This methodology was developed and applied at several lakes in the Nebraska Sand Hills, Nebraska, in an area with both freshwater and saline lakes hydraulically connected to the freshwater surficial aquifer. The FDEM survey was conducted by mounting the instrument on a fiberglass cart towed by an all‐terrain vehicle. The towed FDEM surveys covered about 25 km per day and served as a reconnaissance method for choosing locations for the more quantitative and detailed ER surveys. Around the saline lakes, areas with high electrical conductivity are consistent with the regional direction of ground‐water flow. Lower electrical conductivity was measured around the freshwater lakes with anomalies correlating to a paleovalley axis inferred from previous studies. The efficacy of this geophysical approach is attributed to: (1) significant contrast in electrical conductivity between freshwater and saltwater, (2) near‐surface location of the freshwater/saltwater interface, (3) minimal cultural interference, and (4) relative homogeneity of the aquifer materials.<span></span><br></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009","conferenceDate":"March 29 - April 2, 2009","conferenceLocation":"Fort Worth, TX","language":"English","publisher":"Environment and Engineering Geophysical Society","doi":"10.4133/1.3176693","issn":"1554-8015","isbn":"9781615670512","usgsCitation":"Ong, J., White, E.A., Lane, J.W., Halihan, T., and Zlotnik, V., 2009, Combined use of frequency‐domain electromagnetic and electrical resistivity surveys to delineate the freshwater/saltwater interface near saline lakes in the Nebraska Sand Hills, Nebraska, USA, <i>in</i> Proceedings of the Symposium on the Application of Geophysics to Engineering and Environmental Problems 2009, Fort Worth, TX, March 29 - April 2, 2009, p. 178-187, https://doi.org/10.4133/1.3176693.","productDescription":"10 p.","startPage":"178","endPage":"187","ipdsId":"IP-010920","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":348553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Nebraska Sand 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,{"id":70037105,"text":"70037105 - 2009 - Polybrominated diphenyl ether flame retardants in eggs may reduce reproductive success of ospreys in Oregon and Washington, USA","interactions":[],"lastModifiedDate":"2026-01-07T17:10:08.942389","indexId":"70037105","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Polybrominated diphenyl ether flame retardants in eggs may reduce reproductive success of ospreys in Oregon and Washington, USA","docAbstract":"<p><span>Spatial and temporal assessments and reports of polybrominated diphenyl ether (PBDE) flame retardants in birds remain sparse. In the present study, PBDEs were detected in all 120 osprey (</span><i>Pandion haliaetus</i><span>) eggs collected. The eggs were collected from nests along the Columbia, Willamette and Yakima rivers of Oregon (OR) and Washington (WA) and in Puget Sound (WA) between 2002 and 2007. PBDE congeners: 17, 28, 47, 49, 66, 85, 99, 100, 138, 153, 154 (possible coelution with brominated biphenyl 153 [BB153]), 183, 190 (detected in one egg), 209 (not detected), and BB101 (only detected in 2006 and 2007) and total-α-hexabromocyclododecane (only detected in five eggs) were analyzed for in the egg samples. Eggs from reservoirs in the forested headwaters of the Willamette River (2002) contained the lowest concentrations of ΣPBDEs (geometric mean [range], 98 [55.2–275] ng/g wet weight [ww]), while those from the middle Willamette River (2006) contained the highest (897 [507–1,880] ng/g ww). Concentrations in eggs from the Columbia River progressively increased downstream from Umatilla, OR (River Mile [RM] 286) to Skamokoa, WA (RM 29), which indicated additive PBDE sources along the river. In general, regardless of the year of egg collection, differences in PBDE concentrations reported in osprey eggs along the three major rivers studied (Columbia, Willamette and Yakima) seem to reflect differences in river flow (dilution effect) and the extent of human population and industry (source inputs) along the rivers. PBDE concentrations increased over time at two locations (Seattle, WA; Columbia River, RM 29-84) where temporal patterns could be evaluated. Only during 2006 (on the middle Willamette River, RM 61–157) and 2007 (on the lower Columbia River, RM 29–84) did ΣPBDE concentrations in osprey eggs exceed 1,000&nbsp;ng/g ww with negative relationships indicated at both locations between productivity and ΣPBDE concentrations in eggs (</span><i>P</i><span>&nbsp;=&nbsp;0.008,&nbsp;</span><i>P</i><span>&nbsp;=&nbsp;0.057). Osprey eggs from Everett, WA contained nearly twice the ΣPBDE concentration (geometric mean 239 vs. 141&nbsp;ng/g ww, range 124–384 vs. 22.2–819&nbsp;ng/g ww,&nbsp;</span><i>P</i><span>&nbsp;≤&nbsp;0.05) as double-crested cormorant (</span><i>Phalacrocorax auritus</i><span>) eggs collected at the same location and time, which is likely due to dietary differences. No significant relationship (all&nbsp;</span><i>P</i><span>s&nbsp;&gt;&nbsp;0.147) was indicated between PBDE congeners (including ΣPBDEs) and eggshell thickness at the concentrations observed in this study.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-009-0323-4","issn":"09639292","usgsCitation":"Henny, C.J., Kaiser, J.L., Grove, R.A., Johnson, B.L., and Letcher, R.J., 2009, Polybrominated diphenyl ether flame retardants in eggs may reduce reproductive success of ospreys in Oregon and Washington, USA: Ecotoxicology, v. 18, no. 7, p. 802-813, https://doi.org/10.1007/s10646-009-0323-4.","productDescription":"12 p.","startPage":"802","endPage":"813","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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L.","contributorId":27602,"corporation":false,"usgs":true,"family":"Kaiser","given":"J.","middleInitial":"L.","affiliations":[],"preferred":false,"id":459391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grove, R. A.","contributorId":6546,"corporation":false,"usgs":false,"family":"Grove","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":459388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Branden L. 0000-0002-8018-6452 branden_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8018-6452","contributorId":257446,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden","email":"branden_johnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":459392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, R. J.","contributorId":8062,"corporation":false,"usgs":true,"family":"Letcher","given":"R.","middleInitial":"J.","affiliations":[],"preferred":false,"id":459389,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036875,"text":"70036875 - 2009 - Occurrence of transformation products in the environment","interactions":[],"lastModifiedDate":"2018-09-04T10:36:25","indexId":"70036875","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":1876,"text":"The Handbook of Environmental Chemistry series","active":true,"publicationSubtype":{"id":24}},"chapter":"11","title":"Occurrence of transformation products in the environment","docAbstract":"Historically, most environmental occurrence research has focused on the parent compounds of organic contaminants. Research, however, has documented that the environmental transport of chemicals, such as pesticides and emerging contaminants, are substantially underestimated if transformation products are not considered. Although most examples described herein were drawn from research conducted by the U.S. Geological Survey, such results are generally reflective of those found in other parts of the world. Results from a study of 51 streams in the Midwestern United States found that transformation products were seven of the ten most frequently detected pesticide compounds in late spring runoff (after application of pre-emergent herbicides), and nine of the ten most frequently detected compounds in fall season runoff (during and after harvest). In fact, 70% of the total herbicide concentration in water from the Mississippi River Basin was from transformation products. Results from a study of 86 municipal wells in Iowa found the frequency of detection increased from 17%, when pesticide parent compounds were considered, to 53%, when both parents and transformation products were considered. Transformation products were 12 of the 15 most frequently detected compounds for this groundwater study. Although studies on transformation products of synthetic organic compounds other than pesticides are not as common, wastewater treatment plant discharges have repeatedly been shown to contribute such transformation products to streams. In addition, select detergent transformation products have been commonly found in solid waste in the 1000's mg/kg. These findings and many others document that transformation products must be considered to fully assess the potential environmental occurrence of chemical contaminants and their transport and fate in various compartments of the hydrologic system. ?? 2008 Springer-Verlag Berlin Heidelberg.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Transformation products of synthetic chemicals in the environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/698_2_011","isbn":"978-3-540-88272-5 ","usgsCitation":"Kolpin, D.W., Battaglin, W.A., Conn, K., Furlong, E.T., Glassmeyer, S., Kalkhoff, S.J., Meyer, M.T., and Schnoebelen, D.J., 2009, Occurrence of transformation products in the environment, chap. 11 <i>of</i> Transformation products of synthetic chemicals in the environment: The Handbook of Environmental Chemistry series, v. 2P, p. 83-100, https://doi.org/10.1007/698_2_011.","productDescription":"18 p.","startPage":"83","endPage":"100","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245410,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2P","noUsgsAuthors":false,"publicationDate":"2008-03-27","publicationStatus":"PW","scienceBaseUri":"505a6c47e4b0c8380cd74b44","contributors":{"editors":[{"text":"Boxall, Alistair B.A.","contributorId":187614,"corporation":false,"usgs":false,"family":"Boxall","given":"Alistair","email":"","middleInitial":"B.A.","affiliations":[],"preferred":false,"id":536670,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":458250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glassmeyer, Susan T.","contributorId":72924,"corporation":false,"usgs":true,"family":"Glassmeyer","given":"Susan T.","affiliations":[],"preferred":false,"id":458252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":458249,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schnoebelen, Douglas J.","contributorId":87514,"corporation":false,"usgs":true,"family":"Schnoebelen","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":458251,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70036576,"text":"70036576 - 2009 - Detection and attribution of streamflow timing changes to climate change in the Western United States","interactions":[],"lastModifiedDate":"2012-03-12T17:22:01","indexId":"70036576","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Detection and attribution of streamflow timing changes to climate change in the Western United States","docAbstract":"This article applies formal detection and attribution techniques to investigate the nature of observed shifts in the timing of streamflow in the western United States. Previous studies have shown that the snow hydrology of the western United States has changed in the second half of the twentieth century. Such changes manifest themselves in the form of more rain and less snow, in reductions in the snow water contents, and in earlier snowmelt and associated advances in streamflow \"center\" timing (the day in the \"water-year\" on average when half the water-year flow at a point has passed). However, with one exception over a more limited domain, no other study has attempted to formally attribute these changes to anthropogenic increases of greenhouse gases in the atmosphere. Using the observations together with a set of global climate model simulations and a hydrologic model (applied to three major hydrological regions of the western United States_the California region, the upper Colorado River basin, and the Columbia River basin), it is found that the observed trends toward earlier \"center\" timing of snowmelt-driven streamflows in the western United States since 1950 are detectably different from natural variability (significant at the p < 0.05 level). Furthermore, the nonnatural parts of these changes can be attributed confidently to climate changes induced by anthropogenic greenhouse gases, aerosols, ozone, and land use. The signal from the Columbia dominates the analysis, and it is the only basin that showed a detectable signal when the analysis was performed on individual basins. It should be noted that although climate change is an important signal, other climatic processes have also contributed to the hydrologic variability of large basins in the western United States. ?? 2009 American Meteorological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Climate","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2009JCLI2470.1","issn":"08948755","usgsCitation":"Hidalgo, H., Das, T., Dettinger, M.D., Cayan, D., Pierce, D., Barnett, T., Bala, G., Mirin, A., Wood, A., Bonfils, C., Santer, B., and Nozawa, T., 2009, Detection and attribution of streamflow timing changes to climate change in the Western United States: Journal of Climate, v. 22, no. 13, p. 3838-3855, https://doi.org/10.1175/2009JCLI2470.1.","startPage":"3838","endPage":"3855","numberOfPages":"18","costCenters":[],"links":[{"id":476205,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2009jcli2470.1","text":"Publisher Index Page"},{"id":217524,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2009JCLI2470.1"},{"id":245477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"13","noUsgsAuthors":false,"publicationDate":"2009-07-01","publicationStatus":"PW","scienceBaseUri":"5059ff65e4b0c8380cd4f179","contributors":{"authors":[{"text":"Hidalgo, H.G.","contributorId":81229,"corporation":false,"usgs":true,"family":"Hidalgo","given":"H.G.","email":"","affiliations":[],"preferred":false,"id":456818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, T.","contributorId":99383,"corporation":false,"usgs":true,"family":"Das","given":"T.","email":"","affiliations":[],"preferred":false,"id":456823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":456821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":456814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pierce, D.W.","contributorId":23342,"corporation":false,"usgs":true,"family":"Pierce","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":456813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnett, T.P.","contributorId":54763,"corporation":false,"usgs":true,"family":"Barnett","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":456817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bala, G.","contributorId":86983,"corporation":false,"usgs":true,"family":"Bala","given":"G.","email":"","affiliations":[],"preferred":false,"id":456820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mirin, A.","contributorId":104294,"corporation":false,"usgs":true,"family":"Mirin","given":"A.","affiliations":[],"preferred":false,"id":456824,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, A.W.","contributorId":43542,"corporation":false,"usgs":true,"family":"Wood","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":456815,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bonfils, Celine","contributorId":51542,"corporation":false,"usgs":true,"family":"Bonfils","given":"Celine","email":"","affiliations":[],"preferred":false,"id":456816,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Santer, B.D.","contributorId":95702,"corporation":false,"usgs":true,"family":"Santer","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":456822,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nozawa, T.","contributorId":83345,"corporation":false,"usgs":true,"family":"Nozawa","given":"T.","email":"","affiliations":[],"preferred":false,"id":456819,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":97042,"text":"sir20085105 - 2008 - Estimating selected streamflow statistics representative of 1930–2002 in West Virginia","interactions":[],"lastModifiedDate":"2021-07-15T09:56:30.736534","indexId":"sir20085105","displayToPublicDate":"2021-07-14T13:05:00","publicationYear":"2008","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":"2008-5105","displayTitle":"Estimating Selected Streamflow Statistics Representative of 1930–2002 in West Virginia","title":"Estimating selected streamflow statistics representative of 1930–2002 in West Virginia","docAbstract":"Regional equations and procedures were developed for estimating 1-, 3-, 7-, 14-, and 30-day 2-year; 1-, 3-, 7-, 14-, and 30-day 5-year; and 1-, 3-, 7-, 14-, and 30-day 10-year hydrologically based low-flow frequency values for unregulated streams in West Virginia. Regional equations and procedures also were developed for estimating the 1-day, 3-year and 4-day, 3-year biologically based low-flow frequency values; the U.S. Environmental Protection Agency harmonic-mean flows; and the 10-, 25-, 50-, 75-, and 90-percent flow-duration values.\r\n\r\nRegional equations were developed using ordinary least-squares regression using statistics from 117 U.S. Geological Survey continuous streamflow-gaging stations as dependent variables and basin characteristics as independent variables. Equations for three regions in West Virginia - North, South-Central, and Eastern Panhandle - were determined. Drainage area, precipitation, and longitude of the basin centroid are significant independent variables in one or more of the equations.\r\n\r\nEstimating procedures are presented for determining statistics at a gaging station, a partial-record station, and an ungaged location. Examples of some estimating procedures are presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085105","isbn":"9781411322608","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection, Division of Water and Waste Management","usgsCitation":"Wiley, J.B., 2008, Estimating selected streamflow statistics representative of 1930–2002 in West Virginia (Version 1.1: July 2021; Version 1.0: 2008): U.S. Geological Survey Scientific Investigations Report 2008-5105, Report: viii, 24 p.; Version History; HTML Document, https://doi.org/10.3133/sir20085105.","productDescription":"Report: viii, 24 p.; Version History; HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":386955,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2008/5105/versionHist.txt","size":"759 B","linkFileType":{"id":2,"text":"txt"}},{"id":386954,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5105/sir20085105.pdf","text":"Report","size":"22.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2010-5105"},{"id":195371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2008/5105/coverthb3.jpg"},{"id":12012,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5105/index.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83,37 ], [ -83,41 ], [ -77,41 ], [ -77,37 ], [ -83,37 ] ] ] } } ] }","edition":"Version 1.1: July 2021; Version 1.0: 2008","contact":"<p><a href=\"mailto:dc_va@usgs.gov;%20dc_wv@usgs.gov\" data-mce-href=\"mailto:dc_va@usgs.gov;%20dc_wv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/va-wv-water\" data-mce-href=\"https://www.usgs.gov/centers/va-wv-water\">Virginia and West Virginia Water Science Center</a><br>U.S. Geological Survey<br>1730 E. Parham Road<br>Richmond, VA 23228</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Selected Streamflow Statistics</li><li>Development of Equations for Estimating Selected Streamflow Statistics</li><li>Procedures for Estimating Selected Streamflow Statistics</li><li>Example Applications of Estimating Procedures</li><li>Accuracy and Limitations of Estimating Procedures</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Transferring Flood Statistics to Ungaged Locations</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"revisedDate":"2021-07-14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc9b1","contributors":{"authors":[{"text":"Wiley, Jeffrey B.","contributorId":59746,"corporation":false,"usgs":true,"family":"Wiley","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":300869,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":81004,"text":"ofr20081087 - 2008 - Basin characteristics for selected streamflow-gaging stations in and near West Virginia","interactions":[],"lastModifiedDate":"2021-07-15T09:59:06.667856","indexId":"ofr20081087","displayToPublicDate":"2021-07-14T12:30:00","publicationYear":"2008","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":"2008-1087","displayTitle":"Basin Characteristics for Selected Streamflow-Gaging Stations In and Near West Virginia","title":"Basin characteristics for selected streamflow-gaging stations in and near West Virginia","docAbstract":"Basin characteristics have long been used to develop equations describing streamflow. In the past, flow equations used in West Virginia were based on a few hand-calculated basin characteristics. More recently, the use of a Geographic Information System (GIS) to generate basin characteristics from existing datasets has refined the process for developing equations to describe flow values in the Mountain State. These basin characteristics are described in this document for streamflow-gaging stations in and near West Virginia. The GIS program developed in ArcGIS Workstation by Environmental Systems Research Institute (ESRI?) used data that included National Elevation Dataset (NED) at 1:24,000 scale, climate data from the National Oceanic and Atmospheric Agency (NOAA), streamlines from the National Hydrologic Dataset (NHD), and LandSat-based land-cover data (NLCD) for the period 1999-2003. Full automation of data generation was not achieved due to some inaccuracies in the elevation dataset, as well as inaccuracies in the streamflow-gage locations retrieved from the National Water Information System (NWIS). A Pearson?s correlation examination of the data indicates that several of the basin characteristics are correlated with drainage area. However, the GIS-generated data provide a consistent and documented set of basin characteristics for resource managers and researchers to use.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081087","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection, Division of Water and Waste Management and the West Virginia Department of Transportation, Division of Highways","usgsCitation":"Paybins, K.S., 2008, Basin characteristics for selected streamflow-gaging stations in and near West Virginia (Version 1.1: July 2021; Version 1.0: 2008): U.S. Geological Survey Open-File Report 2008-1087, Report: iv, 9 p.; 1 Table; Version History; HTML Document, https://doi.org/10.3133/ofr20081087.","productDescription":"Report: iv, 9 p.; 1 Table; Version History; HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":10867,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1087/index.html","linkFileType":{"id":5,"text":"html"}},{"id":195013,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2008/1087/coverthb3.jpg"},{"id":386965,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2008/1087/ofr20081087_table1.xlsx","text":"Table 1","size":"223 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Basin characteristics for selected streamflow-gaging stations in West Virginia and adjacent areas of Virginia, Maryland, Ohio, Pennsylvania, and Kentucky"},{"id":386966,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2008/1087/ofr20081087_table1.csv","text":"Table 1","size":"95.4 KB","linkFileType":{"id":7,"text":"csv"}},{"id":386963,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1087/ofr20081087.pdf","text":"Report","size":"1.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2008-1087"},{"id":386964,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2008/1087/versionHist.txt","size":"849 B","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84,37 ], [ -84,41 ], [ -76,41 ], [ -76,37 ], [ -84,37 ] ] ] } } ] }","edition":"Version 1.1: July 2021; Version 1.0: 2008","contact":"<p><a href=\"mailto:dc_va@usgs.gov;%20dc_wv@usgs.gov\" data-mce-href=\"mailto:dc_va@usgs.gov;%20dc_wv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/va-wv-water\" data-mce-href=\"https://www.usgs.gov/centers/va-wv-water\">Virginia and West Virginia Water Science Center</a><br>U.S. Geological Survey<br>1730 E. Parham Road<br>Richmond, VA 23228</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Basin Characteristics</li><li>Uses and Limitations of the Basin Characteristics Data</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"revisedDate":"2021-07-14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6fe4b07f02db640b91","contributors":{"authors":[{"text":"Paybins, Katherine S. 0000-0002-3967-5043 kpaybins@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-5043","contributorId":2805,"corporation":false,"usgs":true,"family":"Paybins","given":"Katherine","email":"kpaybins@usgs.gov","middleInitial":"S.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294114,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}