Organizations responsible for the management of water resources, such as the U.S. Army Corps of Engineers (USACE), are tasked with estimation of evaporation for water-budgeting and planning purposes. The USACE has historically used Class A pan evaporation data (pan data) to estimate evaporation from reservoirs but many USACE Districts have been experimenting with other techniques for an alternative to collecting pan data. The energy-budget method generally is considered the preferred method for accurate estimation of open-water evaporation from lakes and reservoirs. Complex equations to estimate evaporation, such as the Penman, DeBruin-Keijman, and Priestley-Taylor, perform well when compared with energy-budget method estimates when all of the important energy terms are included in the equations and ideal data are collected. However, sometimes nonideal data are collected and energy terms, such as the change in the amount of stored energy and advected energy, are not included in the equations. When this is done, the corresponding errors in evaporation estimates are not quantifiable. Much simpler methods, such as the Hamon method and a method developed by the U.S. Weather Bureau (USWB) (renamed the National Weather Service in 1970), have been shown to provide reasonable estimates of evaporation when compared to energy-budget method estimates. Data requirements for the Hamon and USWB methods are minimal and sometimes perform well with remotely collected data. The Hamon method requires average daily air temperature, and the USWB method requires daily averages of air temperature, relative humidity, wind speed, and solar radiation. Estimates of annual lake evaporation from pan data are frequently within 20 percent of energy-budget method estimates. Results of evaporation estimates from the Hamon method and the USWB method were compared against historical pan data at five selected reservoirs in Texas (Benbrook Lake, Canyon Lake, Granger Lake, Hords Creek Lake, and Sam Rayburn Lake) to evaluate their performance and to develop coefficients to minimize bias for the purpose of estimating reservoir evaporation with accuracies similar to estimates of evaporation obtained from pan data. The modified Hamon method estimates of reservoir evaporation were similar to estimates of reservoir evaporation from pan data for daily, monthly, and annual time periods. The modified Hamon method estimates of annual reservoir evaporation were always within 20 percent of annual reservoir evaporation from pan data. Unmodified and modified USWB method estimates of annual reservoir evaporation were within 20 percent of annual reservoir evaporation from pan data for about 91 percent of the years compared. Average daily differences between modified USWB method estimates and estimates from pan data as a percentage of the average amount of daily evaporation from pan data were within 20 percent for 98 percent of the months. Without any modification to the USWB method, average daily differences as a percentage of the average amount of daily evaporation from pan data were within 20 percent for 73 percent of the months. Use of the unmodified USWB method is appealing because it means estimates of average daily reservoir evaporation can be made from air temperature, relative humidity, wind speed, and solar radiation data collected from remote weather stations without the need to develop site-specific coefficients from historical pan data. Site-specific coefficients would need to be developed for the modified version of the Hamon method.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125202","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Fort Worth District","usgsCitation":"Harwell, G.R., 2012, Estimation of evaporation from open water - A review of selected studies, summary of U.S. Army Corps of Engineers data collection and methods, and evaluation of two methods for estimation of evaporation from five reservoirs in Texas: U.S. Geological Survey Scientific Investigations Report 2012-5202, vii, 96 p., https://doi.org/10.3133/sir20125202.","productDescription":"vii, 96 p.","numberOfPages":"107","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":262142,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5202.gif"},{"id":262140,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5202/pdf/sir2012-5202.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262139,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5202/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area","datum":"North American Datum of 1983","country":"United States","state":"Texas","city":"Austin, Dallas, Fort Worth, Houston, San Angelo, San Antonio, Waco","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.83333333333333,29 ], [ -100.83333333333333,34.333333333333336 ], [ -93.33333333333333,34.333333333333336 ], [ -93.33333333333333,29 ], [ -100.83333333333333,29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662510e4b053bff18e1bf5","contributors":{"authors":[{"text":"Harwell, Glenn R. gharwell@usgs.gov","contributorId":3789,"corporation":false,"usgs":true,"family":"Harwell","given":"Glenn","email":"gharwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467703,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040086,"text":"ofr20121049 - 2012 - Test drilling and data collection in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, California, December 2009-June 2011","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"ofr20121049","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1049","title":"Test drilling and data collection in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, California, December 2009-June 2011","docAbstract":"Two multiple-well monitoring sites were drilled in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, about 100 miles east of San Francisco, California, during December 2009 and January 2010. Site 3N/9E-12G1-4 was drilled to a depth of 503 feet below land surface (bls), and four wells were installed. Site 4N/9E-36A1-3 was drilled to a depth of 400 feet bls, and three wells were installed. Lithologic and geophysical data collected during test drilling indicated the presence of volcanic sands interspersed with lahar deposits that are characteristic of the Mehrten Formation to about 420 feet bls at site 12G1-4, and the presence of volcanic sands interspersed with clay that are characteristic of the Valley Springs Formation at site 36A1-3. In January 2010, water levels at site 12G1-4 ranged from 120 to 127 feet bls (the shallowest well at the site, 12G4, screened from 90 to 110 feet bls, was dry). Between May and November 2010, water levels declined as much as 22 feet in wells 12G1 and 12G2, the deepest wells at this site, and declined about 6 feet in shallower well 12G3. During this same period, water-levels declined less than 8 feet in the three wells at site 36A1-3. Water levels in all monitoring wells recovered to near-May-2010 levels by mid-spring 2011. Dissolved solids in the six sampled monitoring wells (residue on evaporation) ranged from 154 to 239 milligrams per liter (mg/L); arsenic concentrations ranged from 1.8 to 13 micrograms per liter (μg/L), and were greater than the U.S. Environmental Protection Agency Maximum Contaminant Level (MCL) for arsenic of 10 μg/L in well 36A2. The oxygen-18 (δ18O) and deuterium (δD) stable-isotopic composition of water from the six monitoring wells and from nine domestic and public-supply wells sampled as part of this study ranged from -6.7 to -8.2 per mil (δ18O), and -50 to -60 per mil (δD), and was consistent with values expected for water recharged in the lower altitudes of the Sierra Nevada. Well 36A3, the shallowest well at site 36A1-3, was the only well that contained measurable tritium - indicative of water recharged after 1952. Carbon-14 activities from the six monitoring wells ranged from 76.0 to 18.9 percent modern carbon, and groundwater ages (time since recharge), not corrected for chemical reactions, ranged from 2,200 to 13,400 years before present.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121049","collaboration":"Prepared in cooperation with the Calaveras County Water District and the California Department of Water Resources","usgsCitation":"Metzger, L.F., Izbicki, J., and Nawikas, J., 2012, Test drilling and data collection in the Calaveras County portion of the Eastern San Joaquin Groundwater Subbasin, California, December 2009-June 2011: U.S. Geological Survey Open-File Report 2012-1049, iv, 26 p., https://doi.org/10.3133/ofr20121049.","productDescription":"iv, 26 p.","numberOfPages":"30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262138,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1049.jpg"},{"id":262132,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1049/","linkFileType":{"id":5,"text":"html"}},{"id":262133,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1049/pdf/ofr20121049.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"Calaveras","otherGeospatial":"Eastern San Joaquin Groundwater Subbasin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.08333333333333,38 ], [ -121.08333333333333,38.25 ], [ -120.8,38.25 ], [ -120.8,38 ], [ -121.08333333333333,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662515e4b053bff18e1c10","contributors":{"authors":[{"text":"Metzger, Loren F. 0000-0003-2454-2966 lmetzger@usgs.gov","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":1378,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","email":"lmetzger@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":467699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nawikas, Joseph M. 0000-0001-9061-6674","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":96528,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph M.","affiliations":[],"preferred":false,"id":467700,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040081,"text":"ofr20121099 - 2012 - Summary of oceanographic and water-quality measurements near the Blackwater National Wildlife Refuge, Maryland, 2011","interactions":[],"lastModifiedDate":"2012-10-08T17:16:12","indexId":"ofr20121099","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1099","title":"Summary of oceanographic and water-quality measurements near the Blackwater National Wildlife Refuge, Maryland, 2011","docAbstract":"Suspended-sediment transport is a critical element governing the geomorphology of tidal marshes. Marshes rely on both organic material and inorganic sediment deposition to maintain their elevation relative to sea level. In wetlands near the Blackwater National Wildlife Refuge, Maryland, portions of the salt marsh have been subsiding relative to sea level since the early 20th century. Other portions of the marsh have been successful at maintaining elevation. The U.S. Geological Survey performed observational deployments to measure suspended-sediment concentration in the tidal channels in order to understand the magnitude of suspended-sediment concentrations, the sediment-transport mechanisms, and differences between two marsh areas, one that subsided and one that maintained elevation. We deployed optical turbidity sensors and acoustic velocity meters at multiple sites over two periods in 2011. This report presents the time-series of oceanographic data collected during those field studies, including velocity, depth, turbidity, salinity, water temperature, and pH.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121099","usgsCitation":"Ganju, N., Dickhudt, P., Montgomery, E., Brennand, P., Derby, R.K., Brooks, T.W., Guntenspergen, G.R., Martini, M.A., Borden, J., and Baldwin, S., 2012, Summary of oceanographic and water-quality measurements near the Blackwater National Wildlife Refuge, Maryland, 2011: U.S. Geological Survey Open-File Report 2012-1099, HTML Document, https://doi.org/10.3133/ofr20121099.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262137,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1099.jpg"},{"id":262130,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1099/","linkFileType":{"id":5,"text":"html"}},{"id":262131,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1099/title_page.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryl","otherGeospatial":"Blackwater River;Transquaking River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.1,38.3 ], [ -76.1,38.4 ], [ -76,38.4 ], [ -76,38.3 ], [ -76.1,38.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662514e4b053bff18e1c0d","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":467697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickhudt, Patrick J.","contributorId":48302,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","affiliations":[],"preferred":false,"id":467693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montgomery, Ellyn T.","contributorId":78038,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","affiliations":[],"preferred":false,"id":467696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brennand, Patrick","contributorId":62095,"corporation":false,"usgs":true,"family":"Brennand","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":467694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derby, R. Kyle","contributorId":24643,"corporation":false,"usgs":true,"family":"Derby","given":"R.","email":"","middleInitial":"Kyle","affiliations":[],"preferred":false,"id":467692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Thomas W. 0000-0002-0555-3398 wallybrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-0555-3398","contributorId":5989,"corporation":false,"usgs":true,"family":"Brooks","given":"Thomas","email":"wallybrooks@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":467689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467688,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Borden, Jonathan 0000-0001-6844-3340 jborden@usgs.gov","orcid":"https://orcid.org/0000-0001-6844-3340","contributorId":3098,"corporation":false,"usgs":true,"family":"Borden","given":"Jonathan","email":"jborden@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467690,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baldwin, Sandra M. sbrosnahan@usgs.gov","contributorId":75620,"corporation":false,"usgs":true,"family":"Baldwin","given":"Sandra M.","email":"sbrosnahan@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":467695,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70040072,"text":"sir20125204 - 2012 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River in and into Missouri during summer flooding, July-August 2011","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"sir20125204","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5204","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River in and into Missouri during summer flooding, July-August 2011","docAbstract":"Bathymetric and velocimetric surveys were conducted by the U.S. Geological Survey, in cooperation with the Kansas and Missouri Departments of Transportation, in the vicinity of 36 bridges at 27 highway crossings of the Missouri River between Brownville, Nebraska and St. Louis, Missouri, from July 13 through August 3, 2011, during a summer flood. A multibeam echo sounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 1,350 to 1,860 feet and extending across the active channel of the Missouri River. These bathymetric scans provide a \"snapshot\" of the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be used by the Kansas and Missouri Departments of Transportation to assess the bridges for stability and integrity issues with respect to bridge scour during floods. Bathymetric data were collected around every pier that was in water, except those at the edge of water, in extremely shallow water, or surrounded by debris rafts. Scour holes were present at most piers for which bathymetry could be obtained, except at piers on channel banks, those near or embedded in lateral or longitudinal spur dikes, and those on exposed bedrock outcrops. Scour holes observed at the surveyed bridges were examined with respect to depth and shape. Although exposure of parts of foundational support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in bed material; however, there were several notable exceptions where the bed material thickness between the bottom of the scour hole and bedrock was less than 6 feet. Such substantial exposure of usually buried substructural elements may warrant special observation in future flood events. Previous bathymetric surveys had been done at several of the sites, and comparisons between bathymetric surfaces from the previous surveys and those of this study indicate substantial variability in the response of the channel bed to the 2011 summer flood conditions. At sites in Kansas City, there was no consistent deepening of the channel or increase in the size of scour holes, despite substantially more discharge and a higher water-surface elevation in the 2011 surveys, which implies the high-flow conditions during the 2011 surveys created a similar scour scenario to the previous surveys. At Jefferson City and the St. Louis sites, there was a consistent deepening of the channel, and a slight to substantial increase in the depth of scour holes in the 2011 surveys compared to previous surveys, although the effects of the higher flow appeared to be mitigated by the shape and alignment of the piers at most sites in St. Louis. Construction activities related to a new bridge at the Atchison, Kansas, site likely have contributed to the substantial additional scour observed there in a previous survey during the 2010 flooding, and the subsequent aggradation of the channel bed observed in the 2011 survey. Pier size, nose shape, and alignment to flow also had a profound effect on the size of the scour hole observed for a given pier.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125204","collaboration":"Prepared in cooperation with the Kansas and Missouri Departments of Transportation","usgsCitation":"Huizinga, R.J., 2012, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River in and into Missouri during summer flooding, July-August 2011: U.S. Geological Survey Scientific Investigations Report 2012-5204, xii; 166 p., https://doi.org/10.3133/sir20125204.","productDescription":"xii; 166 p.","numberOfPages":"182","onlineOnly":"Y","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":262127,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5204.gif"},{"id":262124,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5204/","linkFileType":{"id":5,"text":"html"}},{"id":262125,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5204/sir12-5204.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Missouri;Nebraska","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,38.333333333333336 ], [ -96,41 ], [ -90,41 ], [ -90,38.333333333333336 ], [ -96,38.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5066250be4b053bff18e1bdd","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467676,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040070,"text":"sir20125175 - 2012 - Method for estimating potential wetland extent by utilizing streamflow statistics and flood-inundation mapping techniques: Pilot study for land along the Wabash River near Terre Haute, Indiana","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"sir20125175","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5175","title":"Method for estimating potential wetland extent by utilizing streamflow statistics and flood-inundation mapping techniques: Pilot study for land along the Wabash River near Terre Haute, Indiana","docAbstract":"Potential wetland extents were estimated for a 14-mile reach of the Wabash River near Terre Haute, Indiana. This pilot study was completed by the U.S. Geological Survey in cooperation with the U.S. Department of Agriculture, Natural Resources Conservation Service (NRCS). The study showed that potential wetland extents can be estimated by analyzing streamflow statistics with the available streamgage data, calculating the approximate water-surface elevation along the river, and generating maps by use of flood-inundation mapping techniques. Planning successful restorations for Wetland Reserve Program (WRP) easements requires a determination of areas that show evidence of being in a zone prone to sustained or frequent flooding. Zone determinations of this type are used by WRP planners to define the actively inundated area and make decisions on restoration-practice installation. According to WRP planning guidelines, a site needs to show evidence of being in an \"inundation zone\" that is prone to sustained or frequent flooding for a period of 7 consecutive days at least once every 2 years on average in order to meet the planning criteria for determining a wetland for a restoration in agricultural land. By calculating the annual highest 7-consecutive-day mean discharge with a 2-year recurrence interval (7MQ2) at a streamgage on the basis of available streamflow data, one can determine the water-surface elevation corresponding to the calculated flow that defines the estimated inundation zone along the river. By using the estimated water-surface elevation (\"inundation elevation\") along the river, an approximate extent of potential wetland for a restoration in agricultural land can be mapped. As part of the pilot study, a set of maps representing the estimated potential wetland extents was generated in a geographic information system (GIS) application by combining (1) a digital water-surface plane representing the surface of inundation elevation that sloped in the downstream direction of flow and (2) land-surface elevation data. These map products from the pilot study will aid the NRCS and its partners with the onsite inundation-zone verification in agricultural land for a potential restoration and will assist in determining at what elevation to plant hardwood trees for increased survivability on ground above frequently flooded terraces.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125175","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, Natural Resources Conservation Service","usgsCitation":"Kim, M.H., Ritz, C.T., and Arvin, D.V., 2012, Method for estimating potential wetland extent by utilizing streamflow statistics and flood-inundation mapping techniques: Pilot study for land along the Wabash River near Terre Haute, Indiana: U.S. Geological Survey Scientific Investigations Report 2012-5175, Report: vi, 15 p.; Figures A1-1, A1-2, A2-1, A2-2, A3-1, A3-2: 17 x 12 inches, https://doi.org/10.3133/sir20125175.","productDescription":"Report: vi, 15 p.; Figures A1-1, A1-2, A2-1, A2-2, A3-1, A3-2: 17 x 12 inches","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":262120,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5175.bmp"},{"id":262110,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5175/","linkFileType":{"id":5,"text":"html"}},{"id":262111,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/sir2012-5175_092012.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262112,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA1-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262117,"rank":405,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA3-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262113,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA1-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262114,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA2-1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262115,"rank":403,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA2-2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262116,"rank":404,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5175/pdf/figA3-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Terre Haute","otherGeospatial":"Wabash River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.5175,39.38333333333333 ], [ -87.5175,39.50083333333333 ], [ -87.36749999999999,39.50083333333333 ], [ -87.36749999999999,39.38333333333333 ], [ -87.5175,39.38333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662512e4b053bff18e1bfe","contributors":{"authors":[{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritz, Christian T.","contributorId":46352,"corporation":false,"usgs":true,"family":"Ritz","given":"Christian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvin, Donald V. dvarvin@usgs.gov","contributorId":3210,"corporation":false,"usgs":true,"family":"Arvin","given":"Donald","email":"dvarvin@usgs.gov","middleInitial":"V.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467672,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040071,"text":"sim3218 - 2012 - Storage capacity and sedimentation trends of Lago Garzas, Puerto Rico, 1996-2007","interactions":[],"lastModifiedDate":"2012-09-28T17:16:18","indexId":"sim3218","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3218","title":"Storage capacity and sedimentation trends of Lago Garzas, Puerto Rico, 1996-2007","docAbstract":"Lago Garzas is located in west-central Puerto Rico, about 3.5 kilometers southwest of the town of Adjuntas, in the confluence of the Río Vacas and three other unnamed tributaries (fig. 1). The dam is owned and operated by the Puerto Rico Electric Power Authority (PREPA), and was constructed in 1943 for hydroelectric power generation and municipal water use along the southern coast. The dam is a semi-hydraulic earthfill embankment lined with boulders, and has a height of 61.57 meters, a top width of 9.14 meters, a base width of 365.76 meters, and a crest length of 227.37 meters; State Road PR-518 crosses the top of the dam. A morning-glory-type spillway is located near the west abutment of the dam at an elevation of 736.12 meters above mean sea level (Puerto Rico Water Resources Authority, 1969). Figure 2 shows an aerial photograph of the Lago Garzas earthfill dam and the morning-glory spillway section. Additional information and operational procedures are provided in Soler-López and others (1999). During July 17-18, 2007, the U.S. Geological Survey (USGS) Caribbean Water Science Center, in cooperation with the Puerto Rico Aqueduct and Sewer Authority, conducted a bathymetric survey of Lago Garzas to update the reservoir storage capacity and update the reservoir sedimentation rate by comparing the 2007 data with the previous 1996 bathymetric survey results. The purpose of this report is to describe and document the USGS sedimentation survey conducted at Lago Garzas during July 2007, including the methods used to update the reservoir storage capacity, sedimentation rates, and areas of substantial sediment accumulation since 1996.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3218","collaboration":"Prepared in cooperation with the Puerto Rico Aqueduct and Sewer Authority","usgsCitation":"Soler-Lopez, L., 2012, Storage capacity and sedimentation trends of Lago Garzas, Puerto Rico, 1996-2007: U.S. Geological Survey Scientific Investigations Map 3218, Map; 29 x 29 inches, https://doi.org/10.3133/sim3218.","productDescription":"Map; 29 x 29 inches","numberOfPages":"1","onlineOnly":"Y","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":262123,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3218/pdf/SIM3218.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262122,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3218/","linkFileType":{"id":5,"text":"html"}},{"id":262126,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3218.jpg"}],"country":"Puerto Rico","otherGeospatial":"Lago Garzas Basin Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.83333333333333,18 ], [ -66.83333333333333,18.5 ], [ -66.5,18.5 ], [ -66.5,18 ], [ -66.83333333333333,18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662514e4b053bff18e1c0a","contributors":{"authors":[{"text":"Soler-Lopez, L.R.","contributorId":66306,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"L.R.","affiliations":[],"preferred":false,"id":467675,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040067,"text":"ofr20121201 - 2012 - Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida","interactions":[],"lastModifiedDate":"2012-09-27T17:16:16","indexId":"ofr20121201","displayToPublicDate":"2012-09-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1201","title":"Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida","docAbstract":"This study was initiated in cooperation with the St. Johns River Water Management District (SJRWMD) to investigate groundwater and surface-water interaction in designated sentinel lakes in central Florida. Sentinel lakes are a SJRWMD established set of priority water bodies (lakes) for which minimum flows and levels (MFLs) are determined. Understanding both the structure and lithology beneath these lakes can ultimately lead to a better understanding of the MFLs and why water levels fluctuate in certain lakes more so than in other lakes. These sentinel lakes have become important water bodies to use as water-fluctuation indicators in the SJRWMD Minimum Flows and Levels program and will be used to define long-term hydrologic and ecologic performance measures. Geologic control on lake hydrology remains poorly understood in this study area. Therefore, the U.S. Geological Survey investigated 16 of the 21 water bodies on the SJRWMD priority list. Geologic information was obtained by the tandem use of high-resolution seismic profiling (HRSP) and direct-current (DC) resistivity profiling to isolate both the geologic framework (structure) and composition (lithology). Previous HRSP surveys from various lakes in the study area have been successful in identifying karst features, such as subsidence sinkholes. However, by using this method only, it is difficult to image highly irregular or chaotic surfaces, such as collapse sinkholes. Resistivity profiling was used to complement HRSP by detecting porosity change within fractured or collapsed structures and increase the ability to fully characterize the subsurface. Lake Saunders (Lake County) is an example of a lake composed of a series of north-south-trending sinkholes that have joined to form one lake body. HRSP shows surface depressions and deformation in the substrate. Resistivity data likewise show areas in the southern part of the lake where resistivity shifts abruptly from approximately 400 ohm meters (ohm-m) along the edges to approximately 12 ohm-m in the center. These well-defined areas may indicate a \"ravel\" zone of increased porosity or clay content. Within Lake Helen (Volusia County), a parallel set of seismic reflectors within a host of chaotic reflectors may represent fill within a large sinkhole. The feature extends to more than 50 meters (m) deep and contains very steep pinnacles within the center. Seismic data in Lake Helen are supported by high resistivity values from adjacent continuous resistivity profiles that show possible center collapse within the lake and infilling of sandy material. When used together, HRSP and DC resistivity techniques provide a composite image of structure and lithology to detect potential conduits for fluid flow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121201","collaboration":"Prepared in cooperation with the St. Johns River Water Management District","usgsCitation":"Reich, C., Flocks, J., and Davis, J., 2012, Geophysical investigation of sentinel lakes in Lake, Seminole, Orange, and Volusia Counties, Florida: U.S. Geological Survey Open-File Report 2012-1201, viii; 58 p.; PDF Appendix, https://doi.org/10.3133/ofr20121201.","productDescription":"viii; 58 p.; PDF Appendix","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262119,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1201.gif"},{"id":262109,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1201/pdf/Reich_OFR2012_1201_appendix-sm.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262107,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1201/pdf/Reich_OFR2012_1201-sm.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262108,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1201/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","county":"Lake County;Marion County;Orange County;Seminole County;Sumter County;Volusia County","otherGeospatial":"Cherry Lake;Lake Louisa;Johns Lake;Lake Avalon;Lake Hiawassee;Crooked Lake;Prevatt Lake;Lake Saunders;Sylvan Lake;Trout Lake;Big Lake;Lake Colby;Lake Helen","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,28.666666666666668 ], [ -82,29.25 ], [ -81,29.25 ], [ -81,28.666666666666668 ], [ -82,28.666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50662510e4b053bff18e1bf8","contributors":{"authors":[{"text":"Reich, Christopher","contributorId":12942,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":467665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":467667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jeffrey","contributorId":20204,"corporation":false,"usgs":true,"family":"Davis","given":"Jeffrey","affiliations":[],"preferred":false,"id":467666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040041,"text":"sir20125192 - 2012 - Spatial and seasonal variability of base flow in the Verde Valley, central Arizona, 2007 and 2011","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"sir20125192","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5192","title":"Spatial and seasonal variability of base flow in the Verde Valley, central Arizona, 2007 and 2011","docAbstract":"Synoptic base-flow surveys were conducted on streams in the Verde Valley, central Arizona, in June 2007 and February 2011 by the U.S. Geological Survey (USGS), in cooperation with the Verde River Basin Partnership, the Town of Clarkdale, and Yavapai County. These surveys, also known as seepage runs, measured streamflow under base-flow conditions at many locations over a short period of time. Surveys were conducted on a segment of the Verde River that flows through the Verde Valley, between USGS streamflow-gaging stations 09504000 and 09506000, a distance of 51 river miles. Data from the surveys were used to investigate the dominant controls on Verde River base flow, spatial variability in gaining and losing reaches, and the effects that human alterations have on base flow in the surface-water system. The most prominent human alterations in the Verde Valley are dozens of surface-water diversions from streams, including gravity-fed ditch diversions along the Verde River.Base flow that entered the Verde River from the tributary streams of Oak Creek, Beaver Creek, and West Clear Creek was found to be a major source of base flow in the Verde River. Groundwater discharge directly into the Verde River near these three confluences also was an important contributor of base flow to the Verde River, particularly near the confluence with Beaver Creek. An examination of individual reaches of the Verde River in the Verde Valley found three reaches (largely unaffected by ditch diversions) exhibiting a similar pattern: a small net groundwater discharge in February 2011 (12 cubic feet per second or less) and a small net streamflow loss in June 2007 (11 cubic feet per second or less). Two reaches heavily affected by ditch diversions were difficult to interpret because of the large number of confounding human factors. Possible lower and upper bounds of net groundwater flux were calculated for all reaches, including those heavily affected by ditches.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125192","collaboration":"Prepared in cooperation with the Verde River Basin Partnership, the Town of Clarkdale, and Yavapai County","usgsCitation":"Garner, B.D., and Bills, D., 2012, Spatial and seasonal variability of base flow in the Verde Valley, central Arizona, 2007 and 2011: U.S. Geological Survey Scientific Investigations Report 2012-5192, v, 33 p.; col. ill.; maps (col.); Appendices, https://doi.org/10.3133/sir20125192.","productDescription":"v, 33 p.; col. ill.; maps (col.); Appendices","startPage":"i","endPage":"33","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-06-01","temporalEnd":"2011-02-28","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":262062,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5192.gif"},{"id":262060,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5192/","linkFileType":{"id":5,"text":"html"}},{"id":262061,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5192/sir2012-5192.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Verde Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4cde8e4b0e8fec6ce21ff","contributors":{"authors":[{"text":"Garner, Bradley D. 0000-0002-6912-5093 bdgarner@usgs.gov","orcid":"https://orcid.org/0000-0002-6912-5093","contributorId":2133,"corporation":false,"usgs":true,"family":"Garner","given":"Bradley","email":"bdgarner@usgs.gov","middleInitial":"D.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":467536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bills, Donald J. djbills@usgs.gov","contributorId":4180,"corporation":false,"usgs":true,"family":"Bills","given":"Donald J.","email":"djbills@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040036,"text":"70040036 - 2012 - Spatial and temporal trends in PCBs in sediment along the lower Rhone River, France","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"70040036","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal trends in PCBs in sediment along the lower Rhone River, France","docAbstract":"Despite increasingly strict control of polychlorinated biphenyl (PCB) releases in France since the mid-1970s, PCB contamination of fish recently has emerged as a major concern in the lower Rhone River basin. We measured PCB concentrations in Rhone sediment to evaluate the effects of PCB releases from major urban and industrial areas, sediment redistribution by large floods, and regulatory controls on PCB trends from 1970 to present. Profiles of PCBs (the sum of seven indicator PCB congeners) were reconstructed from sediment cores collected from an off-river rural reference site and from three depositional areas along the Rhone upstream and downstream from the city of Lyon, France. Core chronology was determined from radionuclide profiles and flood deposits. PCB concentrations increased progressively in the downstream direction, and reached a maximum concentration in 1991 of 281 μg/kg at the most downstream site. At the rural reference site and at the upstream Rhone site, PCB concentrations peaked in the 1970s (maximum concentration of 13 and 78 μg/kg, respectively) and have decreased exponentially since then. PCB concentrations in the middle and downstream cores were elevated into the early 1990s, decreased very rapidly until 2000, and since then have remained relatively stable. Congener profiles for three time windows (1965–80, 1986–93, and 2000–08) were similar in the three sediment cores from the Rhone and different from those at the rural reference site. The results indicate that permitted discharges from a hazardous-waste treatment facility upstream from Lyon might have contributed to high concentrations into the 1980-90s, but that industrial discharges from the greater Lyon area and tributaries to the Rhone near Lyon have had a greater contribution since the 1990s. There is little indication that PCB concentration in sediments downstream from Lyon will decrease over at least the short term.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.06.044","usgsCitation":"Desmet, M., Mourier, B., Mahler, B., Van Metre, P., Roux, G., Persat, H., Lefevre, I., Peretti, A., Chapron, E., Anaelle, S., Miege, C., and Babut, M., 2012, Spatial and temporal trends in PCBs in sediment along the lower Rhone River, France: Science of the Total Environment, v. 433, no. 1, p. 189-197, https://doi.org/10.1016/j.scitotenv.2012.06.044.","productDescription":"9 p.","startPage":"189","endPage":"197","numberOfPages":"8","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":474344,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-00724511","text":"External Repository"},{"id":262072,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262068,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2012.06.044","linkFileType":{"id":5,"text":"html"}}],"country":"France","otherGeospatial":"Rhone River","volume":"433","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4ce15e4b0e8fec6ce226c","contributors":{"authors":[{"text":"Desmet, Marc","contributorId":89392,"corporation":false,"usgs":true,"family":"Desmet","given":"Marc","email":"","affiliations":[],"preferred":false,"id":467535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mourier, Brice","contributorId":12728,"corporation":false,"usgs":true,"family":"Mourier","given":"Brice","email":"","affiliations":[],"preferred":false,"id":467526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":467524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":467530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roux, Gwenaelle","contributorId":14679,"corporation":false,"usgs":true,"family":"Roux","given":"Gwenaelle","email":"","affiliations":[],"preferred":false,"id":467527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Persat, Henri","contributorId":79343,"corporation":false,"usgs":true,"family":"Persat","given":"Henri","email":"","affiliations":[],"preferred":false,"id":467533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lefevre, Irene","contributorId":21021,"corporation":false,"usgs":true,"family":"Lefevre","given":"Irene","email":"","affiliations":[],"preferred":false,"id":467528,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peretti, Annie","contributorId":66529,"corporation":false,"usgs":true,"family":"Peretti","given":"Annie","email":"","affiliations":[],"preferred":false,"id":467532,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chapron, Emmanuel","contributorId":6308,"corporation":false,"usgs":true,"family":"Chapron","given":"Emmanuel","email":"","affiliations":[],"preferred":false,"id":467525,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Anaelle, Simonneau","contributorId":35578,"corporation":false,"usgs":true,"family":"Anaelle","given":"Simonneau","email":"","affiliations":[],"preferred":false,"id":467531,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Miege, Cecile","contributorId":32389,"corporation":false,"usgs":true,"family":"Miege","given":"Cecile","email":"","affiliations":[],"preferred":false,"id":467529,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Babut, Marc","contributorId":86210,"corporation":false,"usgs":true,"family":"Babut","given":"Marc","email":"","affiliations":[],"preferred":false,"id":467534,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70040051,"text":"ds718 - 2012 - Groundwater-quality and quality-control data for two monitoring wells near Pavillion, Wyoming, April and May 2012","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"ds718","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"718","title":"Groundwater-quality and quality-control data for two monitoring wells near Pavillion, Wyoming, April and May 2012","docAbstract":"In June 2010, the U.S. Environmental Protection Agency installed two deep monitoring wells (MW01 and MW02) near Pavillion, Wyoming, to study groundwater quality. During April and May 2012, the U.S Geological Survey, in cooperation with the Wyoming Department of Environmental Quality, collected groundwater-quality data and quality-control data from monitoring well MW01 and, following well redevelopment, quality-control data for monitoring well MW02. Two groundwater-quality samples were collected from well MW01—one sample was collected after purging about 1.5 borehole volumes, and a second sample was collected after purging 3 borehole volumes. Both samples were collected and processed using methods designed to minimize atmospheric contamination or changes to water chemistry. Groundwater-quality samples were analyzed for field water-quality properties (water temperature, pH, specific conductance, dissolved oxygen, oxidation potential); inorganic constituents including naturally occurring radioactive compounds (radon, radium-226 and radium-228); organic constituents; dissolved gasses; stable isotopes of methane, water, and dissolved inorganic carbon; and environmental tracers (carbon-14, chlorofluorocarbons, sulfur hexafluoride, tritium, helium, neon, argon, krypton, xenon, and the ratio of helium-3 to helium-4). Quality-control sample results associated with well MW01 were evaluated to determine the extent to which environmental sample analytical results were affected by bias and to evaluate the variability inherent to sample collection and laboratory analyses. Field documentation, environmental data, and quality-control data for activities that occurred at the two monitoring wells during April and May 2012 are presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds718","collaboration":"In cooperation with the Wyoming Department of Environmental Quality","usgsCitation":"Wright, P., McMahon, P.B., Mueller, D.K., and Clark, M.L., 2012, Groundwater-quality and quality-control data for two monitoring wells near Pavillion, Wyoming, April and May 2012: U.S. Geological Survey Data Series 718, vi, 23 p.; col. ill.; map (col.); Downloads Directory, https://doi.org/10.3133/ds718.","productDescription":"vi, 23 p.; col. ill.; map (col.); Downloads Directory","startPage":"i","endPage":"23","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":262102,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_718.gif"},{"id":262094,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/718/","linkFileType":{"id":5,"text":"html"}},{"id":262095,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/718/DS718_508.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262096,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/718/downloads/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","city":"Pavillion","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50de6ad2e4b0e31bb02a30ab","contributors":{"authors":[{"text":"Wright, Peter R. prwright@usgs.gov","contributorId":1828,"corporation":false,"usgs":true,"family":"Wright","given":"Peter R.","email":"prwright@usgs.gov","affiliations":[],"preferred":true,"id":467573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":467571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Melanie L. mlclark@usgs.gov","contributorId":1827,"corporation":false,"usgs":true,"family":"Clark","given":"Melanie","email":"mlclark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467572,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040052,"text":"ofr20121197 - 2012 - Sampling and analysis plan for the characterization of groundwater quality in two monitoring wells near Pavillion, Wyoming","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"ofr20121197","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1197","title":"Sampling and analysis plan for the characterization of groundwater quality in two monitoring wells near Pavillion, Wyoming","docAbstract":"In June 2010, the U.S. Environmental Protection Agency installed two deep monitoring wells (MW01 and MW02) near Pavillion, Wyoming to study groundwater quality. The U.S Geological Survey, in cooperation with the Wyoming Department of Environmental Quality, designed a plan to collect groundwater data from these monitoring wells. This sampling and analysis plan describes the sampling equipment that will be used, well purging strategy, purge water disposal, sample collection and processing, field and laboratory sample analysis, equipment decontamination, and quality-assurance and quality-control procedures.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121197","collaboration":"Prepared in cooperation with the Wyoming Department of Environmental Quality","usgsCitation":"Wright, P., and McMahon, P.B., 2012, Sampling and analysis plan for the characterization of groundwater quality in two monitoring wells near Pavillion, Wyoming: U.S. Geological Survey Open-File Report 2012-1197, vii, 90 p.; map (col.), https://doi.org/10.3133/ofr20121197.","productDescription":"vii, 90 p.; map (col.)","startPage":"i","endPage":"90","numberOfPages":"97","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":262103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1197.gif"},{"id":262097,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1197/OF12-1197.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1197/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","city":"Pavillion","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4b52ae4b0e8fec6cde5f6","contributors":{"authors":[{"text":"Wright, Peter R. prwright@usgs.gov","contributorId":1828,"corporation":false,"usgs":true,"family":"Wright","given":"Peter R.","email":"prwright@usgs.gov","affiliations":[],"preferred":true,"id":467575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040050,"text":"ofr20111209 - 2012 - Data visualization, time-series analysis, and mass-balance modeling of hydrologic and water-quality data for the McTier Creek watershed, South Carolina, 2007-2009","interactions":[],"lastModifiedDate":"2016-12-08T14:49:32","indexId":"ofr20111209","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1209","title":"Data visualization, time-series analysis, and mass-balance modeling of hydrologic and water-quality data for the McTier Creek watershed, South Carolina, 2007-2009","docAbstract":"The McTier Creek watershed is located in the headwaters of the Edisto River Basin, which is in the Coastal Plain region of South Carolina. The Edisto ecosystem has some of the highest recorded fish-tissue mercury concentrations in the United States. In an effort to advance the understanding of the fate and transport of mercury in stream ecosystems, the U.S. Geological Survey, as part of its National Water-Quality Assessment Program, initiated a field investigation of mercury in the McTier Creek watershed in 2006. The initial efforts of the investigation included the collection of extensive hydrologic and water-quality field data, along with the development of several hydrologic and water-quality models. 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E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":467569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":467568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Gary M.","contributorId":12741,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":467567,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467562,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70040035,"text":"70040035 - 2012 - Currents, drag, and sediment transport induced by a tsunami","interactions":[],"lastModifiedDate":"2013-02-23T22:26:01","indexId":"70040035","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Currents, drag, and sediment transport induced by a tsunami","docAbstract":"We report observations of water surface elevation, currents, and suspended sediment concentration (SSC) from a 10-m deep site on the inner shelf in northern Monterey Bay during the arrival of the 2010 Chile tsunami. Velocity profiles were measured from 3.5 m above the bed (mab) to the surface at 2 min intervals, and from 0.1 to 0.7 mab at 1 Hz. SSC was determined from the acoustic backscatter of the near-bed profiler. The initial tsunami waves were directed cross shore and had a period of approximately 16 min. Maximum wave height was 1.1 m, and maximum current speed was 0.36 m/s. During the strongest onrush, near-bed velocities were clearly influenced by friction and a logarithmic boundary layer developed, extending more than 0.3 mab. We estimated friction velocity and bed shear stress from the logarithmic profiles. The logarithmic structure indicates that the flow can be characterized as quasi-steady at these times. At other phases of the tsunami waves, the magnitude of the acceleration term was significant in the near-bed momentum equation, indicating unsteady flow. The maximum tsunami-induced bed shear stress (0.4 N/m2) exceeded the critical shear stress for the medium-grained sand on the seafloor. Cross-shore sediment flux was enhanced by the tsunami. Oscillations of water surface elevation and currents continued for several days. The oscillations were dominated by resonant frequencies, the most energetic of which was the fundamental longitudinal frequency of Monterey Bay. The maximum current speed (hourly-timescale) in 18 months of observations occurred four hours after the tsunami arrived.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012JC007954","usgsCitation":"Lacy, J.R., Rubin, D.M., and Buscombe, D., 2012, Currents, drag, and sediment transport induced by a tsunami: Journal of Geophysical Research C: Oceans, v. 117, no. C9, 15 p.; C09028, https://doi.org/10.1029/2012JC007954.","productDescription":"15 p.; C09028","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262074,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262065,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JC007954","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","volume":"117","issue":"C9","noUsgsAuthors":false,"publicationDate":"2012-09-22","publicationStatus":"PW","scienceBaseUri":"50d9e065e4b07a5aecdef435","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buscombe, Daniel","contributorId":99414,"corporation":false,"usgs":true,"family":"Buscombe","given":"Daniel","affiliations":[],"preferred":false,"id":467523,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70040034,"text":"70040034 - 2012 - Projected climate-induced habitat loss for salmonids in the John Day River network, Oregon, U.S.A.","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"70040034","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Projected climate-induced habitat loss for salmonids in the John Day River network, Oregon, U.S.A.","docAbstract":"Climate change will likely have profound effects on cold-water species of freshwater fishes. As temperatures rise, cold-water fish distributions may shift and contract in response. Predicting the effects of projected stream warming in stream networks is complicated by the generally poor correlation between water temperature and air temperature. Spatial dependencies in stream networks are complex because the geography of stream processes is governed by dimensions of flow direction and network structure. Therefore, forecasting climate-driven range shifts of stream biota has lagged behind similar terrestrial modeling efforts. We predicted climate-induced changes in summer thermal habitat for 3 cold-water fish species—juvenile Chinook salmon, rainbow trout, and bull trout (Oncorhynchus tshawytscha, O. mykiss, and Salvelinus confluentus, respectively)—in the John Day River basin, northwestern United States. We used a spatially explicit statistical model designed to predict water temperature in stream networks on the basis of flow and spatial connectivity. The spatial distribution of stream temperature extremes during summers from 1993 through 2009 was largely governed by solar radiation and interannual extremes of air temperature. For a moderate climate change scenario, estimated declines by 2100 in the volume of habitat for Chinook salmon, rainbow trout, and bull trout were 69–95%, 51–87%, and 86–100%, respectively. Although some restoration strategies may be able to offset these projected effects, such forecasts point to how and where restoration and management efforts might focus.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Conservation Biology","publisherLocation":"Washington, D.C.","doi":"10.1111/j.1523-1739.2012.01897.x","usgsCitation":"Ruesch, A.S., Torgersen, C., Lawler, J.J., Olden, J., Peterson, E.E., Volk, C.J., and Lawrence, D.J., 2012, Projected climate-induced habitat loss for salmonids in the John Day River network, Oregon, U.S.A.: Conservation Biology, v. 26, no. 5, p. 873-882, https://doi.org/10.1111/j.1523-1739.2012.01897.x.","productDescription":"10 p.","startPage":"873","endPage":"882","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":262073,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262064,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1523-1739.2012.01897.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-07-24","publicationStatus":"PW","scienceBaseUri":"50e492d1e4b0e8fec6cd8b4e","contributors":{"authors":[{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":467518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":467519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Erin E.","contributorId":16264,"corporation":false,"usgs":true,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Volk, Carol J.","contributorId":25809,"corporation":false,"usgs":true,"family":"Volk","given":"Carol","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, David J.","contributorId":34374,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70040048,"text":"sir20125173 - 2012 - Fluvial transport of mercury, organic carbon, suspended sediment, and selected major ions in contrasting stream basins in South Carolina and New York, October 2004 to September 2009","interactions":[],"lastModifiedDate":"2017-01-17T17:49:20","indexId":"sir20125173","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5173","title":"Fluvial transport of mercury, organic carbon, suspended sediment, and selected major ions in contrasting stream basins in South Carolina and New York, October 2004 to September 2009","docAbstract":"A spatially extensive assessment of the environmental controls on mercury transport and bioaccumulation in stream ecosystems in New York and South Carolina was conducted as part of the U.S. Geological Survey National Water-Quality Assessment Program and included the determination of fluvial transport of mercury and associated constituents during water years 2005–2009. (A water year extends from October of one calendar year to September of the next calendar year.) In the Coastal Plain region of South Carolina, the study area included the Edisto River and its headwater tributary, McTier Creek. In the Adirondack region of New York, the study area included the upper Hudson River and its headwater tributary, Fishing Brook. Median concentrations of filtered total mercury rangedfrom 1.55 nanograms per liter (ng/L) at the Hudson River site to 2.77 ng/L at the Edisto River site. The Edisto River site had the greatest median filtered methylmercury concentration, at 0.32 ng/L, and the Hudson River site had the least median filtered methylmercury concentration, at 0.07 ng/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125173","usgsCitation":"Journey, C.A., Burns, D.A., Riva-Murray, K., Brigham, M.E., Button, D.T., Feaster, T., Petkewich, M.D., and Bradley, P.M., 2012, Fluvial transport of mercury, organic carbon, suspended sediment, and selected major ions in contrasting stream basins in South Carolina and New York, October 2004 to September 2009: U.S. Geological Survey Scientific Investigations Report 2012-5173, x, 125 p.; col. ill.; maps (col.); XLS Downloads of Appendices 1B, 1C, 2A-E, 3C, and 3D, https://doi.org/10.3133/sir20125173.","productDescription":"x, 125 p.; col. ill.; maps (col.); XLS Downloads of Appendices 1B, 1C, 2A-E, 3C, and 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Page"},"url":"https://pubs.usgs.gov/sir/2012/5173/","linkFileType":{"id":5,"text":"html"}},{"id":262084,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix1C.xlsx"},{"id":262089,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix2E.xlsx"},{"id":262091,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix3D.xlsx"},{"id":262082,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5173/pdf/sir20125173.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262083,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix1B.xlsx"},{"id":262086,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix2B.xlsx"},{"id":262087,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix2C.xlsx"},{"id":262088,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix2D.xlsx"},{"id":262090,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix3C.xlsx"},{"id":262085,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5173/sir20125173Appendix2A.xlsx"}],"country":"United 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1960-2008","interactions":[],"lastModifiedDate":"2016-08-10T21:28:25","indexId":"sir20125142","displayToPublicDate":"2012-09-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5142","title":"Estimation of baseline daily mean streamflows for ungaged locations on Pennsylvania streams, water years 1960-2008","docAbstract":"Water-resource managers use daily mean streamflows to generate streamflow statistics and analyze streamflow conditions. An in-depth evaluation of flow regimes to promote instream ecological health often requires streamflow information obtainable only from a time series hydrograph. Historically, it has been difficult to estimate daily mean streamflow for an ungaged location. The U.S. Geological Survey (USGS), in cooperation with the Pennsylvania Department of Environmental Protection, Susquehanna River Basin Commission, and The Nature Conservancy, has developed the Baseline Streamflow Estimator (BaSE) to estimate baseline streamflow at a daily time scale for ungaged streams in Pennsylvania using data collected during water years 1960–2008. Baseline streamflow is minimally altered by regulation, diversion, or mining, and other anthropogenic activities. Daily mean streamflow is estimated in BaSE using a methodology that equates streamflow as a percentile from a flow duration curve for a particular day at an ungaged location with streamflow as a percentile from the flow duration curve for the same day at a reference streamgage that is considered to be hydrologically similar to the ungaged location. An appropriate reference streamgage is selected using map correlation, in which variogram models are developed that correlate streamflow at one streamgage with streamflows at all other streamgages. The percentiles from a flow duration curve for the ungaged location are converted to streamflow through the use of regression equations. Regression equations used to predict 17 flow-duration exceedance probabilities were developed for Pennsylvania using geographic information system-derived basin characteristics. The standard error of prediction for the regression equations ranged from 11 percent to 92 percent with the mean of 31 percent.
\nThe map correlation method for estimating streamflow was tested at locations within two pilot basins, the Upper Delaware River Basin and the Lower Susquehanna River Basin, before being applied statewide. Reference streamgages within the pilot basins were used as ungaged locations for analyzing the map correlation method. Correlation using Spearman’s rho and centroid distance performed as well as, or better than, the method using the closest streamgage as a reference streamgage. Map correlation using the correlation metrics identified in the pilot basins was applied to 156 streamgages in and near Pennsylvania.
\nBaSE uses the map correlation method and flow-duration exceedance probability regression equations to estimate baseline daily mean streamflow for an ungaged location. The output from BaSE is a Microsoft Excel® report file that summarizes the reference streamgage and ungaged location information, including basin characteristics, percent difference in basin characteristics between the two locations, any warning associated with the basin characteristics, mean and median streamflow for the ungaged location, and a daily hydrograph of streamflow for water years 1960–2008 for the ungaged location. The daily mean streamflow for the ungaged location can be exported as a text file to be used as input into other statistical software packages. BaSE estimates daily mean streamflow for baseline conditions only, and any alterations to streamflow from regulation, large water use, or substantial mining are not reflected in the estimated streamflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125142","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection, the Susquehanna River Basin Commission, and The Nature Conservancy","usgsCitation":"Stuckey, M.H., Koerkle, E.H., and Ulrich, J.E., 2012, Estimation of baseline daily mean streamflows for ungaged locations on Pennsylvania streams, water years 1960-2008 (First posted September 26, 2012; Revised and reposted August 11, 2014, version 1.1): U.S. Geological Survey Scientific Investigations Report 2012-5142, Report: viii, 56 p.; Appendix 5; Baseline Streamflow Estimator (v1.1), https://doi.org/10.3133/sir20125142.","productDescription":"Report: viii, 56 p.; Appendix 5; Baseline Streamflow Estimator (v1.1)","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1959-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":532,"text":"Pennsylvania 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\"}}]}","edition":"First posted September 26, 2012; Revised and reposted August 11, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50db8c52e4b061270600c60a","contributors":{"authors":[{"text":"Stuckey, Marla H. 0000-0002-5211-8444 mstuckey@usgs.gov","orcid":"https://orcid.org/0000-0002-5211-8444","contributorId":1734,"corporation":false,"usgs":true,"family":"Stuckey","given":"Marla","email":"mstuckey@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koerkle, Edward H. ekoerkle@usgs.gov","contributorId":2014,"corporation":false,"usgs":true,"family":"Koerkle","given":"Edward","email":"ekoerkle@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulrich, James E. julrich@usgs.gov","contributorId":47228,"corporation":false,"usgs":true,"family":"Ulrich","given":"James","email":"julrich@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":467551,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255881,"text":"70255881 - 2012 - An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data","interactions":[],"lastModifiedDate":"2024-07-09T13:32:55.362554","indexId":"70255881","displayToPublicDate":"2012-09-25T08:28:03","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data","docAbstract":"The overarching goal of this research was to develop and demonstrate an automated Cropland Classification Algorithm (ACCA) that will rapidly, routinely, and accurately classify agricultural cropland extent, areas, and characteristics (e.g., irrigated vs. rainfed) over large areas such as a country or a region through combination of multi-sensor remote sensing and secondary data. In this research, a rule-based ACCA was conceptualized, developed, and demonstrated for the country of Tajikistan using mega file data cubes (MFDCs) involving data from Landsat Global Land Survey (GLS), Landsat Enhanced Thematic Mapper Plus (ETM+) 30 m, Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m time-series, a suite of secondary data (e.g., elevation, slope, precipitation, temperature), and in situ data. First, the process involved producing an accurate reference (or truth) cropland layer (TCL), consisting of cropland extent, areas, and irrigated vs. rainfed cropland areas, for the entire country of Tajikistan based on MFDC of year 2005 (MFDC2005). The methods involved in producing TCL included using ISOCLASS clustering, Tasseled Cap bi-spectral plots, spectro-temporal characteristics from MODIS 250 m monthly normalized difference vegetation index (NDVI) maximum value composites (MVC) time-series, and textural characteristics of higher resolution imagery. The TCL statistics accurately matched with the national statistics of Tajikistan for irrigated and rainfed croplands, where about 70% of croplands were irrigated and the rest rainfed. Second, a rule-based ACCA was developed to replicate the TCL accurately (∼80% producer’s and user’s accuracies or within 20% quantity disagreement involving about 10 million Landsat 30 m sized cropland pixels of Tajikistan). Development of ACCA was an iterative process involving series of rules that are coded, refined, tweaked, and re-coded till ACCA derived croplands (ACLs) match accurately with TCLs. Third, the ACCA derived cropland layers of Tajikistan were produced for year 2005 (ACL2005), same year as the year used for developing ACCA, using MFDC2005. Fourth, TCL for year 2010 (TCL2010), an independent year, was produced using MFDC2010 using the same methods and approaches as the one used to produce TCL2005. Fifth, the ACCA was applied on MFDC2010 to derive ACL2010. The ACLs were then compared with TCLs (ACL2005 vs. TCL2005 and ACL2010 vs. TCL2010). The resulting accuracies and errors from error matrices involving about 152 million Landsat (30 m) pixels of the country of Tajikistan (of which about 10 million Landsat size, 30 m, cropland pixels) showed an overall accuracy of 99.6% (khat = 0.97) for ACL2005 vs. TCL2005. For the 3 classes (irrigated, rainfed, and others) mapped in ACL2005, the producer’s accuracy was >86.4% and users accuracy was >93.6%. For ACL2010 vs. TCL2010, the error matrix showed an overall accuracy on 96.2% (khat = 0.96). For the 3 classes (irrigated, rainfed, and others) mapped in ACL2010, the producer’s and user’s accuracies for the irrigated areas were ≥82.9%. Any intermixing was overwhelmingly between irrigated and rainfed croplands, indicating that croplands (irrigated plus rainfed areas) as well as irrigated areas were mapped with high levels of accuracies (∼90% or higher) even for the independent year. The ACL2005 and ACL2010, each, were produced using ACCA algorithm in ∼30 min using a Dell Precision desktop T7400 computer for the entire country of Tajikistan once the MFDCs for the years were ready. The ACCA algorithm for Tajikistan is made available through US Geological Survey’s ScienceBase: http://www.sciencebase.gov/catalog/folder/4f79f1b7e4b0009bd827f548 or at: https://powellcenter.usgs.gov/globalcroplandwater/content/models-algorithms. The research contributes to the efforts of global food security through research on global croplands and their water use (e.g., https://powellcenter.usgs.gov/globalcroplandwater/). The above results clearly demonstrated the ability of a rule-based ACCA to rapidly and accurately produce cropland data layer year after year (hindcast, nowcast, forecast) for the country it was developed using MFDCs that consist of combining multiple sensor data and secondary data. It needs to be noted that the ACCA is applicable to the area (e.g., country, region) for which it is developed. In this case, ACCA is applicable for the Country of Tajikistan to hindcast, nowcast, and forecast agricultural cropland extent, areas, and irrigated vs. rainfed. The same fundamental concept of ACCA applies to other areas of the World where ACCA codes need to be modified to suite the area/region of interest. ACCA can also be expanded to compute other crop characteristics such as crop types, cropping intensities, and phenologies.
","language":"English","publisher":"MDPI","doi":"10.3390/rs4102890","usgsCitation":"Thenkabail, P.S., and Wu, Z., 2012, An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data: Remote Sensing, v. 4, no. 10, p. 2890-2918, https://doi.org/10.3390/rs4102890.","productDescription":"29 p.","startPage":"2890","endPage":"2918","ipdsId":"IP-035313","costCenters":[{"id":273,"text":"Flagstaff Science Center","active":false,"usgs":true}],"links":[{"id":474346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs4102890","text":"Publisher Index Page"},{"id":430841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Tajikistan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[71.0142,40.24437],[70.64802,39.93575],[69.55961,40.10321],[69.46489,39.52668],[70.54916,39.6042],[71.78469,39.27946],[73.67538,39.43124],[73.92885,38.50582],[74.25751,38.60651],[74.86482,38.37885],[74.82999,37.99001],[74.98,37.41999],[73.9487,37.42157],[73.26006,37.49526],[72.63689,37.04756],[72.19304,36.94829],[71.84464,36.73817],[71.44869,37.06564],[71.54192,37.90577],[71.2394,37.95327],[71.34813,38.25891],[70.80682,38.48628],[70.3763,38.1384],[70.27057,37.73516],[70.11658,37.58822],[69.51879,37.609],[69.19627,37.15114],[68.85945,37.34434],[68.13556,37.02312],[67.83,37.14499],[68.39203,38.15703],[68.17603,38.90155],[67.44222,39.14014],[67.70143,39.58048],[68.53642,39.53345],[69.01163,40.08616],[69.32949,40.72782],[70.66662,40.96021],[70.45816,40.49649],[70.60141,40.21853],[71.0142,40.24437]]]},\"properties\":{\"name\":\"Tajikistan\"}}]}","volume":"4","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":905870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":905871,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70040019,"text":"tm7C8 - 2012 - Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"tm7C8","displayToPublicDate":"2012-09-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C8","title":"Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks","docAbstract":"Models of environmental systems have become increasingly complex, incorporating increasingly large numbers of parameters in an effort to represent physical processes on a scale approaching that at which they occur in nature. Consequently, the inverse problem of parameter estimation (specifically, model calibration) and subsequent uncertainty analysis have become increasingly computation-intensive endeavors. Fortunately, advances in computing have made computational power equivalent to that of dozens to hundreds of desktop computers accessible through a variety of alternate means: modelers have various possibilities, ranging from traditional Local Area Networks (LANs) to cloud computing. Commonly used parameter estimation software is well suited to take advantage of the availability of such increased computing power. Unfortunately, logistical issues become increasingly important as an increasing number and variety of computers are brought to bear on the inverse problem. To facilitate efficient access to disparate computer resources, the PESTCommander program documented herein has been developed to provide a Graphical User Interface (GUI) that facilitates the management of model files (\"file management\") and remote launching and termination of \"slave\" computers across a distributed network of computers (\"run management\"). In version 1.0 described here, PESTCommander can access and ascertain resources across traditional Windows LANs: however, the architecture of PESTCommander has been developed with the intent that future releases will be able to access computing resources (1) via trusted domains established in Wide Area Networks (WANs) in multiple remote locations and (2) via heterogeneous networks of Windows- and Unix-based operating systems. The design of PESTCommander also makes it suitable for extension to other computational resources, such as those that are available via cloud computing. Version 1.0 of PESTCommander was developed primarily to work with the parameter estimation software PEST; the discussion presented in this report focuses on the use of the PESTCommander together with Parallel PEST. However, PESTCommander can be used with a wide variety of programs and models that require management, distribution, and cleanup of files before or after model execution. In addition to its use with the Parallel PEST program suite, discussion is also included in this report regarding the use of PESTCommander with the Global Run Manager GENIE, which was developed simultaneously with PESTCommander.","largerWorkTitle":"Automated Data Processing and Computations (Book 7)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C8","collaboration":"Great Lakes Restoration Initiative. This report is Chapter 8 of Section C in Book 7, Automated Data Processing and Computations.","usgsCitation":"Karanovic, M., Muffels, C.T., Tonkin, M.J., and Hunt, R.J., 2012, Approaches in highly parameterized inversion-PESTCommander, a graphical user interface for file and run management across networks: U.S. Geological Survey Techniques and Methods 7-C8, iii; 9 p.; PESTCommander Software, https://doi.org/10.3133/tm7C8.","productDescription":"iii; 9 p.; PESTCommander Software","numberOfPages":"18","onlineOnly":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":262049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_c8.gif"},{"id":262044,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7c8/","linkFileType":{"id":5,"text":"html"}},{"id":262045,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm7c8/pdf/TMBook7_ChapC8.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50788b9ae4b0cfc2d59f59d5","contributors":{"authors":[{"text":"Karanovic, Marinko","contributorId":54831,"corporation":false,"usgs":true,"family":"Karanovic","given":"Marinko","email":"","affiliations":[],"preferred":false,"id":467490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muffels, Christopher T.","contributorId":105949,"corporation":false,"usgs":true,"family":"Muffels","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tonkin, Matthew J.","contributorId":26376,"corporation":false,"usgs":true,"family":"Tonkin","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":467488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040009,"text":"70040009 - 2012 - The influence of reservoirs, climate, land use and hydrologic conditions on loads and chemical quality of dissolved organic carbon in the Colorado River","interactions":[],"lastModifiedDate":"2017-01-03T15:38:14","indexId":"70040009","displayToPublicDate":"2012-09-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"The influence of reservoirs, climate, land use and hydrologic conditions on loads and chemical quality of dissolved organic carbon in the Colorado River","docAbstract":"Longitudinal patterns in dissolved organic carbon (DOC) loads and chemical quality were identified in the Colorado River from the headwaters in the Rocky Mountains to the United States-Mexico border from 1994 to 2011. Watershed- and reach-scale climate, land use, river discharge and hydrologic modification conditions that contribute to patterns in DOC were also identified. Principal components analysis (PCA) identified site-specific precipitation and reach-scale discharge as being correlated with sites in the upper basin, where there were increases in DOC load from the upstream to downstream direction. In the lower basin, where DOC load decreased from upstream to downstream, sites were correlated with site-specific temperature and reach-scale population, urban land use and hydrologic modification. In the reaches containing Lakes Powell and Mead, the two largest reservoirs in the United States, DOC quantity decreased, terrestrially derived aromatic DOC was degraded and/or autochthonous less aromatic DOC was produced. Taken together, these results suggest that longitudinal patterns in the relatively unregulated upper basin are influenced by watershed inputs of water and DOC, whereas DOC patterns in the lower basin are reflective of a balance between watershed contribution of water and DOC to the river and loss of water and DOC due to hydrologic modification and/or biogeochemical processes. These findings suggest that alteration of constituent fluxes in rivers that are highly regulated may overshadow watershed processes that would control fluxes in comparable unregulated rivers. Further, these results provide a foundation for detailed assessments of factors controlling the transport and chemical quality of DOC in the Colorado River.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012WR012312","usgsCitation":"Miller, M.P., 2012, The influence of reservoirs, climate, land use and hydrologic conditions on loads and chemical quality of dissolved organic carbon in the Colorado River: Water Resources Research, v. 48, no. 12, W00M02; 15 p., https://doi.org/10.1029/2012WR012312.","productDescription":"W00M02; 15 p.","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":474347,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012wr012312","text":"Publisher Index Page"},{"id":262038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico,Utah, Wyoming","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.5,31.5 ], [ -116.5,44 ], [ -104.5,44 ], [ -104.5,31.5 ], [ -116.5,31.5 ] ] ] } } ] }","volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-09-21","publicationStatus":"PW","scienceBaseUri":"50e5091ce4b0e8fec6cea21b","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70040028,"text":"ofr20121169 - 2012 - Fort Collins Science Center-Fiscal year 2011 science accomplishments","interactions":[],"lastModifiedDate":"2012-10-03T17:16:16","indexId":"ofr20121169","displayToPublicDate":"2012-09-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1169","title":"Fort Collins Science Center-Fiscal year 2011 science accomplishments","docAbstract":"The Fort Collins Science Center (FORT) is a multi-disciplinary research and development center of the U.S. Geological Survey located in Fort Collins, Colorado. FORT research focuses on the needs of land- and water-management bureaus within the U.S. Department of the Interior, other Federal agencies, and State, Tribal, and non-government organizations. We emphasize a multi-disciplinary science approach to provide information for natural resource management decisionmaking. Our vision is to maintain and continuously improve the integrated, collaborative, world-class research needed to inform effective, science-based land management. The 2011 science accomplishments report provides an executive summary highlighting key achievements, an appendix of 68 one-page accomplishment descriptions organized by U.S. Geological Survey Mission Area, and a complete list of publications and other products generated in FY2011. The executive summary includes a table cross-referencing all major FY11 accomplishments with the various Mission Areas each supports.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121169","usgsCitation":"Wilson, J.T., 2012, Fort Collins Science Center-Fiscal year 2011 science accomplishments: U.S. Geological Survey Open-File Report 2012-1169, v, 107 p., https://doi.org/10.3133/ofr20121169.","productDescription":"v, 107 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":262059,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1169.gif"},{"id":262050,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1169/OF12-1169.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262051,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1169/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.06666666666666,40.583333333333336 ], [ -105.06666666666666,40.583333333333336 ], [ -105.06666666666666,40.583333333333336 ], [ -105.06666666666666,40.583333333333336 ], [ -105.06666666666666,40.583333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50788d68e4b0cfc2d59f5a90","contributors":{"authors":[{"text":"Wilson, Juliette T. 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In this region the rates and pathways of sediment transport are important because they determine the availability of sediments for beach nourishment, seafloor habitat, and navigation. The impact of storms on sediment transport magnitude and direction were investigated during the period October 2003–April 2004 using bottom mounted flow meters, acoustic backscatter sensors and rotary sonars deployed at eight sites offshore of Myrtle Beach, SC, to measure currents, water levels, surface waves, salinity, temperature, suspended sediment concentrations, and bedform morphology. Measurements identify that sediment mobility is caused by waves and wind driven currents from three predominant types of storm patterns that pass through this region: (1) cold fronts, (2) warm fronts and (3) low-pressure storms. The passage of a cold front is accompanied by a rapid change in wind direction from primarily northeastward to southwestward. The passage of a warm front is accompanied by an opposite change in wind direction from mainly southwestward to northeastward. Low-pressure systems passing offshore are accompanied by a change in wind direction from southwestward to southeastward as the offshore storm moves from south to north.
During the passage of cold fronts more sediment is transported when winds are northeastward and directed onshore than when the winds are directed offshore, creating a net sediment flux to the north–east. Likewise, even though the warm front has an opposite wind pattern, net sediment flux is typically to the north–east due to the larger fetch when the winds are northeastward and directed onshore. During the passage of low-pressure systems strong winds, waves, and currents to the south are sustained creating a net sediment flux southwestward. During the 3-month deployment a total of 8 cold fronts, 10 warm fronts, and 10 low-pressure systems drove a net sediment flux southwestward. Analysis of a 12-year data record from a local buoy shows an average of 41 cold fronts, 32 warm fronts, and 26 low-pressure systems per year. The culmination of these events would yield a cumulative net inner-continental shelf transport to the south–west, a trend that is further verified by sediment textural analysis and bedform morphology on the inner-continental shelf.
","language":"English","publisher":"Elsevier","publisherLocation":"Oxford","doi":"10.1016/j.csr.2012.05.001","usgsCitation":"Warner, J., Armstrong, B.N., Sylvester, C.S., Voulgaris, G., Nelson, T., Schwab, W.C., and Denny, J.F., 2012, Storm-induced inner-continental shelf circulation and sediment transport: Long Bay, South Carolina: Continental Shelf Research, v. 42, no. 1, p. 51-63, https://doi.org/10.1016/j.csr.2012.05.001.","startPage":"51","endPage":"63","numberOfPages":"9","ipdsId":"IP-034489","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474350,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5299","text":"External Repository"},{"id":328680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Long Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.5,\n 34\n ],\n [\n -78.5,\n 33.15\n ],\n [\n -79.35,\n 33.15\n ],\n [\n -79.35,\n 34\n ],\n [\n -78.5,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f3c1e4b0bc0bec0a0b6d","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":138581,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy","email":"barmstrong@usgs.gov","middleInitial":"N.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sylvester, Charlene S.","contributorId":174638,"corporation":false,"usgs":true,"family":"Sylvester","given":"Charlene","email":"","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":648854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":648855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Tim","contributorId":174639,"corporation":false,"usgs":false,"family":"Nelson","given":"Tim","email":"","affiliations":[],"preferred":false,"id":648856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648858,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70040012,"text":"ofr20121166 - 2012 - Nearshore morphology, benthic structure, hydrodynamics, and coastal groundwater discharge near Kahekili Beach Park, Maui, Hawaii","interactions":[],"lastModifiedDate":"2025-05-14T13:56:05.174887","indexId":"ofr20121166","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1166","title":"Nearshore morphology, benthic structure, hydrodynamics, and coastal groundwater discharge near Kahekili Beach Park, Maui, Hawaii","docAbstract":"This report presents a brief summary of recent fieldwork conducted off Kahekili Beach Park, Maui, Hawaii, the site of the newly established U.S. Coral Reef Task Force priority study area at Kaanapali and the Hawaii Department of Land and Natural Resources, Division of Aquatic Resources, Kahekili Herbivore Fisheries Management Area (HFMA). The goals of this fieldwork are to provide new baseline information to help guide future studies and to provide first insights into rates and drivers of coastal groundwater discharge and associated constituent loadings into the priority study area's coastal waters. This study presents the first swath acoustic mapping information, in situ oceanographic instrument measurements, and coastal groundwater discharge estimates at this site based on the submarine groundwater discharge tracer radon-222 (222Rn). Coastal groundwater discharge rates ranged from about 22 to 50 centimeters per day, depending on proximity of the sampling mooring to the primary discharge vent. The water chemistry of the discharging groundwater was at times dramatically different than ambient seawater. For example, at the primary vent site at Kahekili, the concentrations of total dissolved nitrogen (TDN), dissolved silicate (DSi), and total dissolved phosphorus (TDP) in the discharging groundwater were 43.75 micromolar (μM), 583.49 μM, and 12.04 μM, respectively. These data extend our basic understanding of the morphology, benthic structure, and oceanographic setting of this vent site and provide a first estimate of the magnitude and physical forcings of submarine groundwater discharge and associated trace metals and nutrient loads here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121166","usgsCitation":"Swarzenski, P.W., Storlazzi, C., Presto, M., Gibbs, A.E., Smith, C.G., Dimova, N.T., Dailer, M.L., and Logan, J., 2012, Nearshore morphology, benthic structure, hydrodynamics, and coastal groundwater discharge near Kahekili Beach Park, Maui, Hawaii: U.S. Geological Survey Open-File Report 2012-1166, iv, 34 p., https://doi.org/10.3133/ofr20121166.","productDescription":"iv, 34 p.","numberOfPages":"38","onlineOnly":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":262028,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1166.bmp"},{"id":262027,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1166/of2012-1166.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":262026,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1166/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kahekili Beach Park, Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.70083333333332,20.9175 ], [ -156.70083333333332,20.966666666666665 ], [ -156.6675,20.966666666666665 ], [ -156.6675,20.9175 ], [ -156.70083333333332,20.9175 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e09619e4b0fec3206ee811","contributors":{"authors":[{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":467454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presto, M. Katherine","contributorId":30192,"corporation":false,"usgs":true,"family":"Presto","given":"M. Katherine","affiliations":[],"preferred":false,"id":467450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467449,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dimova, Natasha T.","contributorId":50769,"corporation":false,"usgs":true,"family":"Dimova","given":"Natasha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":467453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dailer, Meghan L.","contributorId":42471,"corporation":false,"usgs":true,"family":"Dailer","given":"Meghan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":467452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":467451,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70040010,"text":"sir20125189 - 2012 - Quantification of aquifer properties with surface nuclear magnetic resonance in the Platte River valley, central Nebraska, using a novel inversion method","interactions":[],"lastModifiedDate":"2012-09-24T17:16:30","indexId":"sir20125189","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5189","title":"Quantification of aquifer properties with surface nuclear magnetic resonance in the Platte River valley, central Nebraska, using a novel inversion method","docAbstract":"Surface nuclear magnetic resonance, a noninvasive geophysical method, measures a signal directly related to the amount of water in the subsurface. This allows for low-cost quantitative estimates of hydraulic parameters. In practice, however, additional factors influence the signal, complicating interpretation. The U.S. Geological Survey, in cooperation with the Central Platte Natural Resources District, evaluated whether hydraulic parameters derived from surface nuclear magnetic resonance data could provide valuable input into groundwater models used for evaluating water-management practices. Two calibration sites in Dawson County, Nebraska, were chosen based on previous detailed hydrogeologic and geophysical investigations. At both sites, surface nuclear magnetic resonance data were collected, and derived parameters were compared with results from four constant-discharge aquifer tests previously conducted at those same sites. Additionally, borehole electromagnetic-induction flowmeter data were analyzed as a less-expensive surrogate for traditional aquifer tests. Building on recent work, a novel surface nuclear magnetic resonance modeling and inversion method was developed that incorporates electrical conductivity and effects due to magnetic-field inhomogeneities, both of which can have a substantial impact on the data. After comparing surface nuclear magnetic resonance inversions at the two calibration sites, the nuclear magnetic-resonance-derived parameters were compared with previously performed aquifer tests in the Central Platte Natural Resources District. This comparison served as a blind test for the developed method. The nuclear magnetic-resonance-derived aquifer parameters were in agreement with results of aquifer tests where the environmental noise allowed data collection and the aquifer test zones overlapped with the surface nuclear magnetic resonance testing. In some cases, the previously performed aquifer tests were not designed fully to characterize the aquifer, and the surface nuclear magnetic resonance was able to provide missing data. In favorable locations, surface nuclear magnetic resonance is able to provide valuable noninvasive information about aquifer parameters and should be a useful tool for groundwater managers in Nebraska.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125189","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District and the Nebraska Environmental Trust","usgsCitation":"Irons, T.P., Hobza, C.M., Steele, G.V., Abraham, J., Cannia, J.C., and Woodward, D.D., 2012, Quantification of aquifer properties with surface nuclear magnetic resonance in the Platte River valley, central Nebraska, using a novel inversion method: U.S. Geological Survey Scientific Investigations Report 2012-5189, viii, 50 p., https://doi.org/10.3133/sir20125189.","productDescription":"viii, 50 p.","numberOfPages":"61","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":262030,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5189.gif"},{"id":262024,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5189/","linkFileType":{"id":5,"text":"html"}},{"id":262025,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5189/sir2012-5189.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Nebraska","county":"Buffalo;Dawson;Hall;Merrick","otherGeospatial":"Central Platte Natural Resources District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.25,40.5 ], [ -100.25,41.5 ], [ -97.5,41.5 ], [ -97.5,40.5 ], [ -100.25,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4972ae4b0e8fec6cd999c","contributors":{"authors":[{"text":"Irons, Trevor P. tirons@usgs.gov","contributorId":4851,"corporation":false,"usgs":true,"family":"Irons","given":"Trevor","email":"tirons@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":467443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, Gregory V. gvsteele@usgs.gov","contributorId":783,"corporation":false,"usgs":true,"family":"Steele","given":"Gregory","email":"gvsteele@usgs.gov","middleInitial":"V.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":467445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":467446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodward, Duane D.","contributorId":39628,"corporation":false,"usgs":true,"family":"Woodward","given":"Duane","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":467444,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70040005,"text":"tm11D1 - 2012 - Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey","interactions":[],"lastModifiedDate":"2012-09-24T17:16:30","indexId":"tm11D1","displayToPublicDate":"2012-09-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-D1","title":"Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey","docAbstract":"Geodetic surveys have evolved through the years to the use of survey-grade (centimeter level) global positioning to perpetuate and post-process vertical datum. The U.S. Geological Survey (USGS) uses Global Navigation Satellite Systems (GNSS) technology to monitor natural hazards, ensure geospatial control for climate and land use change, and gather data necessary for investigative studies related to water, the environment, energy, and ecosystems. Vertical datum is fundamental to a variety of these integrated earth sciences. Essentially GNSS surveys provide a three-dimensional position x, y, and z as a function of the North American Datum of 1983 ellipsoid and the most current hybrid geoid model. A GNSS survey may be approached with post-processed positioning for static observations related to a single point or network, or involve real-time corrections to provide positioning \"on-the-fly.\" Field equipment required to facilitate GNSS surveys range from a single receiver, with a power source for static positioning, to an additional receiver or network communicated by radio or cellular for real-time positioning. A real-time approach in its most common form may be described as a roving receiver augmented by a single-base station receiver, known as a single-base real-time (RT) survey. More efficient real-time methods involving a Real-Time Network (RTN) permit the use of only one roving receiver that is augmented to a network of fixed receivers commonly known as Continually Operating Reference Stations (CORS). A post-processed approach in its most common form involves static data collection at a single point. Data are most commonly post-processed through a universally accepted utility maintained by the National Geodetic Survey (NGS), known as the Online Position User Service (OPUS). More complex post-processed methods involve static observations among a network of additional receivers collecting static data at known benchmarks. Both classifications provide users flexibility regarding efficiency and quality of data collection. Quality assurance of survey-grade global positioning is often overlooked or not understood and perceived uncertainties can be misleading. GNSS users can benefit from a blueprint of data collection standards used to ensure consistency among USGS mission areas. A classification of GNSS survey qualities provide the user with the ability to choose from the highest quality survey used to establish objective points with low uncertainties, identified as a Level I, to a GNSS survey for general topographic control without quality assurance, identified as a Level IV. A Level I survey is strictly limited to post-processed methods, whereas Level II, Level III, and Level IV surveys integrate variations of a RT approach. Among these classifications, techniques involving blunder checks and redundancy are important, and planning that involves the assessment of the overall satellite configuration, as well as terrestrial and space weather, are necessary to ensure an efficient and quality campaign. Although quality indicators and uncertainties are identified in post-processed methods using CORS, the accuracy of a GNSS survey is most effectively expressed as a comparison to a local benchmark that has a high degree of confidence. Real-time and post-processed methods should incorporate these \"trusted\" benchmarks as a check during any campaign. Global positioning surveys are expected to change rapidly in the future. The expansion of continuously operating reference stations, combined with newly available satellite signals, and enhancements to the conterminous geoid, are all sufficient indicators for substantial growth in real-time positioning and quality thereof.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11D1","usgsCitation":"Rydlund, P.H., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods 11-D1, xii, 102 p., https://doi.org/10.3133/tm11D1.","productDescription":"xii, 102 p.","numberOfPages":"120","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":262029,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_11_D1.gif"},{"id":262022,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11d1/","linkFileType":{"id":5,"text":"html"}},{"id":262023,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11d1/tm11-D1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e03c8ae4b0fec3206eb34f","contributors":{"authors":[{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467433,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}