{"pageNumber":"630","pageRowStart":"15725","pageSize":"25","recordCount":69037,"records":[{"id":70044641,"text":"sir20125198 - 2013 - Overview of groundwater quality in the Piceance Basin, western Colorado, 1946--2009","interactions":[],"lastModifiedDate":"2013-03-18T16:26:32","indexId":"sir20125198","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","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":"2012-5198","title":"Overview of groundwater quality in the Piceance Basin, western Colorado, 1946--2009","docAbstract":"Groundwater-quality data from public and private sources for the period 1946 to 2009 were compiled and put into a common data repository for the Piceance Basin. The data repository is available on the web at http://rmgsc.cr.usgs.gov/cwqdr/Piceance/index.shtml. A subset of groundwater-quality data from the repository was compiled, reviewed, and checked for quality assurance for this report. The resulting dataset consists of the most recently collected sample from 1,545 wells, 1,007 (65 percent) of which were domestic wells. From those samples, the following constituents were selected for presentation in this report: dissolved oxygen, dissolved solids, pH, major ions (chloride, sulfate, fluoride), trace elements (arsenic, barium, iron, manganese, selenium), nitrate, benzene, toluene, ethylbenzene, xylene, methane, and the stable isotopic compositions of water and methane.\n\nSome portion of recharge to most of the wells for which data were available was derived from precipitation (most likely snowmelt), as indicated by δ2H [H2O] and δ18O[H2O] values that plot along the Global Meteoric Water Line and near the values for snow samples collected in the study area. Ninety-three percent of the samples were oxic, on the basis of concentrations of dissolved oxygen that were greater than or equal to 0.5 milligrams per liter.\n\nConcentration data were compared with primary and secondary drinking-water standards established by the U.S. Environmental Protection Agency. Constituents that exceeded the primary standards were arsenic (13 percent), selenium (9.2 percent), fluoride (8.4 percent), barium (4.1 percent), nitrate (1.6 percent), and benzene (0.6 percent). Concentrations of toluene, xylenes, and ethylbenzene did not exceed standards in any samples. Constituents that exceeded the secondary standard were dissolved solids (72 percent), sulfate (37 percent), manganese (21 percent), iron (16 percent), and chloride (10 percent). Drinking-water standards have not been established for methane, which was detected in 24 percent of samples. Methane concentrations were greater than or equal to 1 milligram per liter in 8.5 percent of samples. Methane isotopic data for samples collected primarily from domestic wells in Garfield County indicate that methane in samples with relative high methane concentrations were derived from both biogenic and thermogenic sources. Many of the constituents that exceeded standards, such as arsenic, fluoride, iron, and manganese, were derived from rock and sediment in aquifers. Elevated nitrate concentrations were most likely derived from human sources such as fertilizer and human or animal waste.\n\nInformation about the geologic unit or aquifer in which a well was completed generally was not provided by data sources. However, limited data indicate that Quaternary deposits in Garfield and Mesa Counties, the Wasatch Formation in Garfield County, and the Green River Formation in Rio Blanco County had some of the highest median concentrations of selected constituents. Variations in concentration with depth could not be evaluated because of the general lack of well-depth and water-level data.\n\nConcentrations of several important constituents, such as arsenic, manganese, methane, and nitrate, were related to concentrations of dissolved oxygen. Concentrations of arsenic, manganese, and methane were significantly higher in groundwater with low dissolved-oxygen concentrations than in groundwater with high dissolved-oxygen concentrations. In contrast, concentrations of nitrate were significantly higher in groundwater with high dissolved-oxygen concentrations than in groundwater with low dissolved-oxygen concentrations. These results indicate that measurements of dissolved oxygen may be a useful indicator of groundwater vulnerability to some human-derived contaminants and enrichment from some natural constituents.\n\nAssessing such a large and diverse dataset as the one available through the repository poses unique challenges for reporting on groundwater quality in the study area. The repository contains data from several studies that differed widely in purpose and scope. In addition to this variability in available data, gaps exist spatially, temporally, and analytically in the repository. For example, groundwater-quality data in the repository were not evenly distributed throughout the study area. Several key water-quality constituents or indicators, such as dissolved oxygen, were underrepresented in the repository. Ancillary information, such as well depth, depth to water, and the geologic unit or aquifer in which a well was completed, was missing for more than 50 percent of samples.\n\nFuture monitoring could avoid several limitations of the repository by making relatively minor changes to sample- collection and data-reporting protocols. Field measurements for dissolved oxygen could be added to sampling protocols, for example. Information on well construction and the geologic unit or aquifer in which a well was completed should be part of the water-quality dataset. Such changes would increase the comparability of data from different monitoring programs and also add value to each program individually and to that of the regional dataset as a whole. Other changes to monitoring programs could require greater resources, such as sampling for a basic set of constituents that is relevant to major water-quality issues in the regional study area. Creation of such a dataset for the regional study area would help to provide the kinds of information needed to characterize background conditions and the spatial and temporal variability in constituent concentrations associated with those conditions. Without such information, it is difficult to identify departures from background that might be associated with human activities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125198","collaboration":"Prepared in cooperation with (in alphabetical order): Antero Resources, Bureau of Land Management, Bureau of Reclamation, Chevron Corporation, Cites of Grand Junction and Rifle, Colo., Colorado Department of Agriculture, Colorado Department of Natural Resources, Colorado Department of Public Health and Environment, Colorado Division of Wildlife—River Watch, Colorado Oil and Gas Conservation Commission, Colorado River Water Conservation District, Delta County, Colo., EnCana Oil & Gas (USA) Inc., Garfield County, Colo., Gunnison Energy Corp., National Park Service, Natural Soda, Inc., North Fork River Improvement Association, Oxy Petroleum Corporation, Petroleum Development Corp., Rio Blanco County, Shell Oil Company, Solvay Chemicals, Towns of Carbondale, De Beque, Palisade, Parachute, Rangely, and Silt, Colo., U.S. Forest Service, West Divide Water Conservancy District, and Williams Companies, Inc.","usgsCitation":"Thomas, J., and McMahon, P., 2013, Overview of groundwater quality in the Piceance Basin, western Colorado, 1946--2009: U.S. Geological Survey Scientific Investigations Report 2012-5198, vi, 204 p., https://doi.org/10.3133/sir20125198.","productDescription":"vi, 204 p.","numberOfPages":"213","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":269680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125198.gif"},{"id":269678,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5198/"},{"id":269679,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5198/SIR12-5198.pdf"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5148295fe4b022dd171afdb4","contributors":{"authors":[{"text":"Thomas, J.C.","contributorId":95435,"corporation":false,"usgs":true,"family":"Thomas","given":"J.C.","affiliations":[],"preferred":false,"id":476113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":476112,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041125,"text":"70041125 - 2013 - An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards","interactions":[],"lastModifiedDate":"2013-03-18T17:38:19","indexId":"70041125","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards","docAbstract":"A combination of field mapping, geochemistry, and remote sensing methods has been employed to determine the extent of hydrothermal alteration and assess the potential for failure at the Santiaguito lava dome complex, Guatemala. The 90-year-old complex of four lava domes has only experienced relatively small and infrequent dome collapses in the past, which were associated with lava extrusion. However, existing evidence of an active hydrothermal system coupled with intense seasonal precipitation also presents ideal conditions for instability related to weakened clay-rich edifice rocks. Mapping of the Santiaguito dome complex identified structural features related to dome growth dynamics, potential areas of weakness related to erosion, and locations of fumarole fields. X-ray diffraction and backscattered electron images taken with scanning electron microscopy of dacite and ash samples collected from around fumaroles revealed only minor clay films, and little evidence of alteration. Mineral mapping using ASTER and Hyperion satellite images, however, suggest low-temperature (<150 °C) silicic alteration on erosional surfaces of the domes, but not the type of pervasive acid-sulfate alteration implicated in collapses of other altered edifices. To evaluate the possibility of internal alteration, we re-examined existing aqueous geochemical data from dome-fed hot springs. The data indicate significant water–rock interaction, but the Na–Mg–K geoindicator suggests only a short water residence time, and δ18O/δD ratios show only minor shifts from the meteoric water line with little precipitation of secondary (alteration) minerals. Based on available data, hydrothermal alteration on the dome complex appears to be restricted to surficial deposits of hydrous silica, but the study has highlighted, importantly, that the 1902 eruption crater headwall of Santa María does show more advanced argillic alteration. We also cannot rule out the possibility of advanced alteration within the dome complex interior that is not accessible to the methods used here. It may therefore be prudent to employ geophysical methods to make further assessments in the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Volcanology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00445-012-0676-z","usgsCitation":"Ball, J.L., Calder, E.S., Hubbard, B.E., and Bernstein, M.L., 2013, An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards: Bulletin of Volcanology, v. 75, p. 676-676, https://doi.org/10.1007/s00445-012-0676-z.","productDescription":"1 p.","startPage":"676","endPage":"676","ipdsId":"IP-037622","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-012-0676-z","text":"Publisher Index Page"},{"id":269688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269687,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00445-012-0676-z"}],"country":"Guatemala","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.23,13.74 ], [ -92.23,17.82 ], [ -88.23,17.82 ], [ -88.23,13.74 ], [ -92.23,13.74 ] ] ] } } ] }","volume":"75","noUsgsAuthors":false,"publicationDate":"2013-01-12","publicationStatus":"PW","scienceBaseUri":"51482959e4b022dd171afda4","contributors":{"authors":[{"text":"Ball, Jessica L. 0000-0002-7837-8180","orcid":"https://orcid.org/0000-0002-7837-8180","contributorId":100707,"corporation":false,"usgs":true,"family":"Ball","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calder, Eliza S.","contributorId":96562,"corporation":false,"usgs":true,"family":"Calder","given":"Eliza","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, Bernard E. 0000-0002-9315-2032 bhubbard@usgs.gov","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":2342,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"bhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":469438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernstein, Marc L.","contributorId":42853,"corporation":false,"usgs":true,"family":"Bernstein","given":"Marc","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042785,"text":"70042785 - 2013 - Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands","interactions":[],"lastModifiedDate":"2013-03-18T17:26:55","indexId":"70042785","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands","docAbstract":"Monitoring productivity in coastal wetlands is important due to their high carbon sequestration rates and potential role in climate change mitigation. We tested agricultural- and forest-based methods for estimating the fraction of absorbed photosynthetically active radiation (f APAR), a key parameter for modelling gross primary productivity (GPP), in a restored, managed wetland with a dense litter layer of non-photosynthetic vegetation, and we compared the difference in canopy light transmission between a tidally influenced wetland and the managed wetland. The presence of litter reduced correlations between spectral vegetation indices and f APAR. In the managed wetland, a two-band vegetation index incorporating simulated World View-2 or Hyperion green and near-infrared bands, collected with a field spectroradiometer, significantly correlated with f APAR only when measured above the litter layer, not at the ground where measurements typically occur. Measures of GPP in these systems are difficult to capture via remote sensing, and require an investment of sampling effort, practical methods for measuring green leaf area and accounting for background effects of litter and water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/2150704X.2013.766372","usgsCitation":"Schile, L.M., Byrd, K.B., Windham-Myers, L., and Kelly, M., 2013, Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands: Remote Sensing Letters, v. 4, no. 6, p. 542-551, https://doi.org/10.1080/2150704X.2013.766372.","productDescription":"10 p.","startPage":"542","endPage":"551","ipdsId":"IP-041455","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269685,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/2150704X.2013.766372"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5148294fe4b022dd171afda0","contributors":{"authors":[{"text":"Schile, Lisa M.","contributorId":105985,"corporation":false,"usgs":true,"family":"Schile","given":"Lisa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":472262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":472261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Maggi","contributorId":14275,"corporation":false,"usgs":true,"family":"Kelly","given":"Maggi","affiliations":[],"preferred":false,"id":472263,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044611,"text":"70044611 - 2013 - Patterns of social association in the franciscana, <i>Pontoporia blainvillei</i>","interactions":[],"lastModifiedDate":"2013-10-23T13:17:59","indexId":"70044611","displayToPublicDate":"2013-03-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of social association in the franciscana, <i>Pontoporia blainvillei</i>","docAbstract":"Little is known from living animals about the social patterns of the franciscana, <i>Pontoporia blainvillei</i>, a small dolphin inhabiting a narrow strip of coastal waters off Argentina, Uruguay, and Brazil. These dolphins tend to be found in small groups, typically composed of two or three individuals (Bordino et al. 1999). Throughout much of the species' range, franciscanas encounter artisanal gill nets (Praderi 1989, Corcuera et al. 1994, Bertozzi and Zerbini 2002, Bordino et al. 2002, Secchi et al. 2003). Entanglement in these nets results in the deaths of thousands of individuals each year, at levels that are likely unsustainable (Bordino and Albareda 2004, Cappozzo et al. 2007).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Mammal Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/mms.12010","usgsCitation":"Wells, R.S., Bordino, P., and Douglas, D.C., 2013, Patterns of social association in the franciscana, <i>Pontoporia blainvillei</i>: Marine Mammal Science, v. 29, no. 4, p. E520-E528, https://doi.org/10.1111/mms.12010.","productDescription":"9 p.","startPage":"E520","endPage":"E528","numberOfPages":"9","ipdsId":"IP-042202","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":269559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269558,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/mms.12010"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"5146d7dce4b0694ee75ad3d8","contributors":{"authors":[{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bordino, Pablo","contributorId":93355,"corporation":false,"usgs":true,"family":"Bordino","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":476002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":476000,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044630,"text":"ofr20131033 - 2013 - U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative: 2011 annual report","interactions":[],"lastModifiedDate":"2025-05-14T19:21:09.723237","indexId":"ofr20131033","displayToPublicDate":"2013-03-17T00:00:00","publicationYear":"2013","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":"2013-1033","title":"U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative: 2011 annual report","docAbstract":"This is the fourth report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual work activities. In FY2011, there were 37 ongoing, completed, or new projects conducted under the five major multi-disciplinary science and technical-assistance activities: (1) Baseline Synthesis, (2) Targeted Monitoring and Research, (3) Data and Information Management, (4) Integration and Coordination, and (5) Decisionmaking and Evaluation. The four new work activities were (1) development of the Western Energy Citation Clearinghouse, a Web-based energy-resource database of references for literature and on-line resources focused on energy development and its effects on natural resources; (2) a study to support the Sublette County Conservation District in ascertaining potential water-quality impacts to the New Fork River from energy development in the Pinedale Anticline Project Area; (3) a study to test the efficacy of blending high-frequency temporal data provided by Moderate Resolution Imaging Spectroradiometer (MODIS) sensors and high-resolution Landsat data for providing the fine-resolution data required to evaluate habitat responses to management activities at the landscape level; and (4) a study to examine the seasonal water chemistry of Muddy Creek, including documenting salinity patterns and providing a baseline for assessing potential effects of energy and other development on water quality in the Muddy Creek watershed. Two work activities were completed in FY2011: (1) the assessment of rancher perceptions of energy development in Southwest Wyoming and (2) mapping aspen stands and conifer encroachment using classification and regression tree (CART) analysis for effectiveness monitoring. The USGS continued to compile data, develop geospatial products, and upgrade Web-based products in support of both individual and overall WLCI efforts, including (1) ranking and prioritizing proposed conservation projects, (2) developing the WLCI integrated assessment, (3) developing the WLCI 5-year Conservation Action Plan, and (4) continuing to upgrade the content and improve the functionality of the WLCI Web site. For the WLCI FY2012 annual report, a decision was made to greatly reduce the overall length of the annual report, which will be accomplished by simplifying the report format and focusing on the take-home messages of each work activity for WLCI partners.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131033","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Biewick, L., Blecker, S.W., Boughton, G.K., Carr, N.B., Chalfoun, A., Chong, G.W., Clark, M.L., Diffendorfer, J.E., Fedy, B.C., Foster, K., Garman, S.L., Germaine, S., Hethcoat, M.G., Holloway, J., Homer, C.G., Kauffman, M., Keinath, D., Latysh, N., Manier, D.J., McDougal, R., Melcher, C.P., Miller, K.A., Montag, J., Olexa, E.M., Potter, C.J., Schell, S., Shafer, S., Smith, D., Stillings, L., Sweat, M.J., Tuttle, M., and Wilson, A.B., 2013, U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative: 2011 annual report: U.S. Geological Survey Open-File Report 2013-1033, xiii, 145 p., https://doi.org/10.3133/ofr20131033.","productDescription":"xiii, 145 p.","startPage":"i","endPage":"145","numberOfPages":"162","additionalOnlineFiles":"N","ipdsId":"IP-041360","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":269528,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1033/OF13-1033_508.pdf"},{"id":269529,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131033.gif"},{"id":269527,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1033/"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.1,41.0 ], [ -111.1,45.0 ], [ -104.1,45.0 ], [ -104.1,41.0 ], [ -111.1,41.0 ] ] ] } } ] 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Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biewick, 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,{"id":70044626,"text":"sir20135002 - 2013 - Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10","interactions":[],"lastModifiedDate":"2013-03-16T11:20:42","indexId":"sir20135002","displayToPublicDate":"2013-03-16T00:00:00","publicationYear":"2013","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":"2013-5002","title":"Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10","docAbstract":"The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, used the Soil and Water Assessment Tool to simulate streamflow and nitrate loads within the Cedar River Basin, Iowa. The goal was to assess the ability of the Soil and Water Assessment Tool to estimate streamflow and nitrate loads in gaged and ungaged basins in Iowa. The Cedar River Basin model uses measured streamflow data from 12 U.S. Geological Survey streamflow-gaging stations for hydrology calibration. The U.S. Geological Survey software program, Load Estimator, was used to estimate annual and monthly nitrate loads based on measured nitrate concentrations and streamflow data from three Iowa Department of Natural Resources Storage and Retrieval/Water Quality Exchange stations, located throughout the basin, for nitrate load calibration. The hydrology of the model was calibrated for the period of January 1, 2000, to December 31, 2004, and validated for the period of January 1, 2005, to December 31, 2010. Simulated daily, monthly, and annual streamflow resulted in Nash-Sutcliffe coefficient of model efficiency (E<sub>NS</sub>) values ranging from 0.44 to 0.83, 0.72 to 0.93, and 0.56 to 0.97, respectively, and coefficient of determination (R<sup>2</sup>) values ranging from 0.55 to 0.87, 0.74 to 0.94, and 0.65 to 0.99, respectively, for the calibration period. The percent bias ranged from -19 to 10, -16 to 10, and -19 to 10 for daily, monthly, and annual simulation, respectively. The validation period resulted in daily, monthly, and annual E<sub>NS</sub> values ranging from 0.49 to 0.77, 0.69 to 0.91, and -0.22 to 0.95, respectively; R<sup>2</sup> values ranging from 0.59 to 0.84, 0.74 to 0.92, and 0.36 to 0.92, respectively; and percent bias ranging from -16 for all time steps to percent bias of 14, 15, and 15, respectively.\n\nThe nitrate calibration was based on a small subset of the locations used in the hydrology calibration with limited measured data. Model performance ranges from unsatisfactory to very good for the calibration period (January 1, 2000, to December 31, 2004). Results for the validation period (January 1, 2005, to December 31, 2010) indicate a need for an increase of measured data as well as more refined documented management practices at a higher resolution. Simulated nitrate loads resulted in monthly and annual E<sub>NS</sub> values ranging from 0.28 to 0.82 and 0.61 to 0.86, respectively, and monthly and annual R<sup>2</sup> values ranging from 0.65 to 0.81 and 0.65 to 0.88, respectively, for the calibration period. The monthly and annual calibration percent bias ranged from 4 to 7 and 5 to 7, respectively. The validation period resulted in all but two E<sub>NS</sub> values less than zero. Monthly and annual validation R<sup>2</sup> values ranged from 0.5 to 0.67 and 0.25 to 0.48, respectively. Monthly and annual validation percent bias ranged from 46 to 68 for both time steps. A daily calibration and validation for nitrate loads was not performed because of the poor monthly and annual results; measured daily nitrate data are available for intervals of time in 2009 and 2010 during which a successful monthly and annual calibration could not be achieved.\n\nThe Cedar River Basin is densely gaged relative to other basins in Iowa; therefore, an alternative hydrology scenario was created to assess the predictive capabilities of the Soil and Water Assessment Tool using fewer locations of measured data for model hydrology calibration. Although the ability of the model to reproduce measured values improves with the number of calibration locations, results indicate that the Soil and Water Assessment Tool can be used to adequately estimate streamflow in less densely gaged basins throughout the State, especially at the monthly time step. However, results also indicate that caution should be used when calibrating a subbasin that consists of physically distinct regions based on only one streamflow-gaging station.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135002","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Hutchinson, K.J., and Christiansen, D.E., 2013, Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10: U.S. Geological Survey Scientific Investigations Report 2013-5002, v, 36 p., https://doi.org/10.3133/sir20135002.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-029808","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":269437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135002.gif"},{"id":269435,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5002/"},{"id":269436,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5002/sir13_5002.pdf"}],"country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.64,40.38 ], [ -96.64,43.5 ], [ -90.14,43.5 ], [ -90.14,40.38 ], [ -96.64,40.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51458659e4b0c47b5d322a6f","contributors":{"authors":[{"text":"Hutchinson, Kasey J. khutchin@usgs.gov","contributorId":4223,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Kasey","email":"khutchin@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476038,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180387,"text":"70180387 - 2013 - Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS","interactions":[],"lastModifiedDate":"2018-08-07T14:31:33","indexId":"70180387","displayToPublicDate":"2013-03-15T14:31:17","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS","docAbstract":"<p><span>Water samples were collected from six small rivers in the Yukon River basin in central Alaska to examine the role of colloids and organic matter in the transport of trace elements in Northern high latitude watersheds influenced by permafrost. Concentrations of dissolved organic carbon (DOC), selected elements (Al, Si, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Rb, Sr, Ba, Pb, U), and UV-absorbance spectra were measured in 0.45</span><span>&nbsp;</span><span>μm filtered samples. ‘Nanocolloidal size distributions’ (0.5–40</span><span>&nbsp;</span><span>nm, hydrodynamic diameter) of humic-type and chromophoric dissolved organic matter (CDOM), Cr, Mn, Fe, Co, Ni, Cu, Zn, and Pb were determined by on-line coupling of flow field-flow fractionation (FFF) to detectors including UV-absorbance, fluorescence, and ICP-MS. Total dissolved and nanocolloidal concentrations of the elements varied considerably between the rivers and between spring flood and late summer base flow. Data on specific UV-absorbance (SUVA), spectral slopes, and the nanocolloidal fraction of the UV-absorbance indicated a decrease in aromaticity and size of CDOM from spring flood to late summer. The nanocolloidal size distributions indicated the presence of different ‘components’ of nanocolloids. ‘Fulvic-rich nanocolloids’ had a hydrodynamic diameter of 0.5–3</span><span>&nbsp;</span><span>nm throughout the sampling season; ‘organic/iron-rich nanocolloids’ occurred in the &lt;8</span><span>&nbsp;</span><span>nm size range during the spring flood; whereas ‘iron-rich nanocolloids’ formed a discrete 4–40</span><span>&nbsp;</span><span>nm components during summer base flow. Mn, Co, Ni, Cu and Zn were distributed between the nanocolloid components depending on the stability constant of the metal (+II)–organic complexes, while stronger association of Cr to the iron-rich nanocolloids was attributed to the higher oxidation states of Cr (+III or +IV). Changes in total dissolved element concentrations, size and composition of CDOM, and occurrence and size of organic/iron and iron-rich nanocolloids were related to variations in their sources from either the upper organic-rich soil or the deeper mineral layer, depending on seasonal variations in hydrological flow patterns and permafrost dynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.11.018","usgsCitation":"Stolpe, B., Guo, L., Shiller, A.M., and Aiken, G.R., 2013, Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS: Geochimica et Cosmochimica Acta, v. 105, p. 221-239, https://doi.org/10.1016/j.gca.2012.11.018.","productDescription":"19 p.","startPage":"221","endPage":"239","ipdsId":"IP-035129","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":356296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152,\n              63.5\n            ],\n            [\n              -144,\n              63.5\n            ],\n            [\n              -144,\n              66\n            ],\n            [\n              -152,\n              66\n            ],\n            [\n              -152,\n              63.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fd361e4b0f5d57878edae","contributors":{"authors":[{"text":"Stolpe, Bjorn","contributorId":178895,"corporation":false,"usgs":false,"family":"Stolpe","given":"Bjorn","email":"","affiliations":[],"preferred":false,"id":661488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Laodong","contributorId":176753,"corporation":false,"usgs":false,"family":"Guo","given":"Laodong","email":"","affiliations":[],"preferred":false,"id":741904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shiller, Alan M.","contributorId":100709,"corporation":false,"usgs":true,"family":"Shiller","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661487,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043912,"text":"cir1384 - 2013 - Progress toward establishing a national assessment of water availability and use","interactions":[],"lastModifiedDate":"2026-06-25T15:38:03.113615","indexId":"cir1384","displayToPublicDate":"2013-03-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1384","title":"Progress toward establishing a national assessment of water availability and use","docAbstract":"<p>The Omnibus Public Land Management Act of 2009 (Public Law 111-11) was passed into law on March 30, 2009. Subtitle F, also known as the SECURE Water Act, calls for the establishment of a \"national water availability and use assessment program\" within the U.S. Geological Survey (USGS). A major driver for this recommendation was that national water availability and use have not been comprehensively assessed since 1978. This report fulfills a requirement to report to Congress on progress in implementing the national water availability and use assessment program, also referred to as the National Water Census. The SECURE Water Act authorized \\$20 million for each of fiscal years (FY) 2009 through 2023 for assessment of national water availability and use. The first appropriation for this effort was \\$4 million in FY 2011, followed by an appropriation of \\$6 million in FY 2012. The National Water Census synthesizes and reports information at the regional and national scales, with an emphasis on compiling and reporting the information in a way that is useful to states and others responsible for water management and natural-resource issues. The USGS works with Federal and non-Federal agencies, universities, and other organizations to ensure that the information can be aggregated with other types of water-availability and socioeconomic information, such as data on food and energy production. To maximize the utility of the information, the USGS coordinates the design and development of the effort through the Federal Advisory Committee on Water Information. A National Water Census is a complex undertaking, particularly because there are major gaps in the information needed to conduct such an assessment. To maximize progress, the USGS engaged stakeholders in a discussion of priorities and leveraged existing studies and program activities to enhance efforts toward the development of a National Water Census.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1384","usgsCitation":"Alley, W., Evenson, E.J., Barber, N.L., Bruce, B.W., Dennehy, K.F., Freeman, M., Freeman, W.O., Fischer, J., Hughes, W.B., Kennen, J., Kiang, J.E., Maloney, K.O., Musgrove, M., Ralston, B.E., Tessler, S., and Verdin, J.P., 2013, Progress toward establishing a national assessment of water availability and use: U.S. Geological Survey Circular 1384, vi, 36 p., https://doi.org/10.3133/cir1384.","productDescription":"vi, 36 p.","numberOfPages":"44","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":449,"text":"National Water Census","active":false,"usgs":true}],"links":[{"id":267956,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1384/"},{"id":267955,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1384/support/c1384.pdf"},{"id":270523,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1384.png"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -173.0,16.916667 ], [ -173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ -173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4f6ce4b0803bd2eec53d","contributors":{"authors":[{"text":"Alley, William M.","contributorId":93030,"corporation":false,"usgs":true,"family":"Alley","given":"William M.","affiliations":[],"preferred":false,"id":474464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evenson, Eric J. eevenson@usgs.gov","contributorId":4072,"corporation":false,"usgs":true,"family":"Evenson","given":"Eric","email":"eevenson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":474461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Nancy L. 0000-0002-2952-5017 nlbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-2952-5017","contributorId":3679,"corporation":false,"usgs":true,"family":"Barber","given":"Nancy","email":"nlbarber@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, Breton W. bbruce@usgs.gov","contributorId":1127,"corporation":false,"usgs":true,"family":"Bruce","given":"Breton","email":"bbruce@usgs.gov","middleInitial":"W.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":474454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dennehy, Kevin F. kdennehy@usgs.gov","contributorId":1128,"corporation":false,"usgs":true,"family":"Dennehy","given":"Kevin","email":"kdennehy@usgs.gov","middleInitial":"F.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":474455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":474458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freeman, Ward O. wfreeman@usgs.gov","contributorId":1999,"corporation":false,"usgs":true,"family":"Freeman","given":"Ward","email":"wfreeman@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":474456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fischer, Jeffrey M. 0000-0003-2996-9272 fischer@usgs.gov","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":573,"corporation":false,"usgs":true,"family":"Fischer","given":"Jeffrey M.","email":"fischer@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":474450,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hughes, William B. 0000-0001-5087-0889 wbhughes@usgs.gov","orcid":"https://orcid.org/0000-0001-5087-0889","contributorId":399,"corporation":false,"usgs":true,"family":"Hughes","given":"William","email":"wbhughes@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":474449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474451,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":474457,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":474462,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":474463,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":474452,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tessler, Steven stessler@usgs.gov","contributorId":3772,"corporation":false,"usgs":true,"family":"Tessler","given":"Steven","email":"stessler@usgs.gov","affiliations":[],"preferred":true,"id":474460,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":474453,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70044581,"text":"70044581 - 2013 - Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana","interactions":[],"lastModifiedDate":"2013-03-14T14:03:34","indexId":"70044581","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana","docAbstract":"Coastal wetlands are losing elevation worldwide, so that techniques to increase elevation such as sediment amendment might benefit these wetlands. This study examined the potential of sediment amendment to raise elevation and support the production and regeneration of vegetation in coastal forests in Louisiana. Before sediment amendment, the vegetation did not differ in these Taxodium distichum–Nyssa aquatica forests with respect to herbaceous and tree seedling composition, and sapling and tree characteristics. After the application of sediment in January 2007, sediment-amended swamps had higher elevations and salinity levels than natural swamps. The layer of sediment applied to Treasure Island in Jean Lafitte National Historic Park and Preserve was relatively deep (sediment depth at Site One and Site Two: 0.89 and 0.69 m, respectively, six months after application), and may have exceeded an optimal threshold. Sediment-amended swamp with the highest elevation had some tree mortality and little tree growth of T. distichum. Also, sediment-amended swamp had higher root biomasses of ruderal species, and lower species richness and cover of herbaceous species. Nevertheless, during controlled water releases during an oil spill emergency in 2010, both sediment-amended and reference forest had higher production levels than in other years. While sediment amendment is a compelling management alternative for sinking coastal wetlands, optimal thresholds were not determined for these T. distichum–N. aquatica swamps.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecoleng.2013.01.025","usgsCitation":"Middleton, B.A., and Jiang, M., 2013, Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana: Ecological Engineering, v. 54, p. 183-191, https://doi.org/10.1016/j.ecoleng.2013.01.025.","productDescription":"9 p.","startPage":"183","endPage":"191","ipdsId":"IP-038627","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":269351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269314,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2013.01.025"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,33.0195 ], [ -88.8162,33.0195 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","volume":"54","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35fe4b073a963ff6541","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":475907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Ming","contributorId":83770,"corporation":false,"usgs":true,"family":"Jiang","given":"Ming","email":"","affiliations":[],"preferred":false,"id":475908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044918,"text":"70044918 - 2013 - Current perspectives in contaminant hydrology and water resources sustainability","interactions":[],"lastModifiedDate":"2018-08-15T15:02:53","indexId":"70044918","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Current perspectives in contaminant hydrology and water resources sustainability","docAbstract":"Human society depends on liquid freshwater resources to meet drinking, sanitation and hygiene, agriculture, and industry needs. Improved resource monitoring and better understanding of the anthropogenic threats to freshwater environments are critical to efficient management of freshwater resources and ultimately to the survival and quality of life of the global human population. This book helps address the need for improved freshwater resource monitoring and threat assessment by presenting current reviews and case studies focused on the fate and transport of contaminants in the environment and on the sustainability of groundwater and surface-water resources around the world. It is intended for students and professionals working in hydrology and water resources management.","language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/47884","usgsCitation":"Bradley, P.M., 2013, Current perspectives in contaminant hydrology and water resources sustainability, 333 p., https://doi.org/10.5772/47884.","productDescription":"333 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":269955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269954,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5772/47884"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51502072e4b08df5cb131323","contributors":{"authors":[{"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":476468,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044596,"text":"sir20135028 - 2013 - Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11","interactions":[],"lastModifiedDate":"2013-03-15T09:15:21","indexId":"sir20135028","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","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":"2013-5028","title":"Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11","docAbstract":"Historical mining activity in the Tri-State Mining District (TSMD), located in parts of southeast Kansas, southwest Missouri, and northeast Oklahoma, has resulted in a substantial ongoing input of cadmium, lead, and zinc to the environment. To provide some of the information needed to support remediation efforts in the Cherokee County, Kansas, superfund site, a 4-year study was begun in 2009 by the U.S. Geological Survey that was requested and funded by the U.S. Environmental Protection Agency. A combination of surficial-soil sampling and coring was used to investigate the occurrence and variability of mining-related lead and zinc in the flood plains of the Spring River and several tributaries within the superfund site. Lead- and zinc-contaminated flood plains are a concern, in part, because they represent a long-term source of contamination to the fluvial environment.\n\nLead and zinc contamination was assessed with reference to probable-effect concentrations (PECs), which represent the concentrations above which adverse aquatic biological effects are likely to occur. The general PECs for lead and zinc were 128 and 459 milligrams per kilogram, respectively. The TSMD-specific PECs for lead and zinc were 150 and 2,083 milligrams per kilogram, respectively.\n\nTypically, surficial soils in the Spring River flood plain had lead and zinc concentrations that were less than the general PECs. Lead and zinc concentrations in the surficial-soil samples were variable with distance downstream and with distance from the Spring River channel, and the largest lead and zinc concentrations usually were located near the channel. Lead and zinc concentrations larger than the general or TSMD-specific PECs, or both, were infrequent at depth in the Spring River flood plain. When present, such contamination typically was confined to the upper 2 feet of the core and frequently was confined to the upper 6 inches.\n\nTributaries with few or no lead- and zinc-mined areas in the basin—Brush Creek, Cow Creek, and Shawnee Creek—generally had flood-plain lead and zinc concentrations (surficial soil, 6- and 12-inch depth) that were substantially less than the general PECs. Tributaries with extensive lead- and zinc-mined areas in the basin—Shoal Creek, Short Creek, Spring Branch, Tar Creek, Turkey Creek, and Willow Creek—had flood-plain lead concentrations (surficial soil, 6- and 12-inch depth) that frequently or typically exceeded the general and TSMD-specific PECs. Likewise, the tributaries with extensive lead- and zinc-mined areas in the basin had flood-plain zinc concentrations (surficial soil, 6- and 12-inch depth) that frequently or typically exceeded the general PEC. With the exception of Shoal and Willow Creeks, zinc concentrations typically exceeded the TSMD-specific PEC. The largest flood-plain lead and zinc concentrations (surficial soil, 6- and 12-inch depth) were measured for Short and Tar Creeks. Lead and zinc concentrations in the surficial-soil samples collected from the tributary flood plains varied longitudinally in relation to sources of mining-contaminated sediment in the basins. Lead and zinc concentrations also varied with distance from the channel; however, no consistent spatial trend was evident. For the surficial-soil samples collected from the Spring River flood plain and tributary flood plains, both the coarse (larger than 63 micrometers) and fine particles (less than 63 micrometers) contained substantial lead and zinc concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135028","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Juracek, K.E., 2013, Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11: U.S. Geological Survey Scientific Investigations Report 2013-5028, vi, 70 p., https://doi.org/10.3133/sir20135028.","productDescription":"vi, 70 p.","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":269350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135028.gif"},{"id":269348,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5028/"},{"id":269349,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5028/sir2013-5028.pdf"}],"country":"United States","state":"Kansas","county":"Cherokee County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.073853,36.998665 ], [ -95.073853,37.341705 ], [ -94.617636,37.341705 ], [ -94.617636,36.998665 ], [ -95.073853,36.998665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35be4b073a963ff6535","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":475935,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044601,"text":"ofr20131059 - 2013 - Five-year interim report of the United States-Mexico Transboundary Aquifer Assessment Program: 2007--2012","interactions":[],"lastModifiedDate":"2018-01-26T11:16:36","indexId":"ofr20131059","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","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":"2013-1059","title":"Five-year interim report of the United States-Mexico Transboundary Aquifer Assessment Program: 2007--2012","docAbstract":"Transboundary aquifers are an essential, and in many cases, singular source of water for United States – Mexico border communities, particularly in arid regions. Declining water levels, deteriorating water quality, and increasing use of groundwater resources by municipal, industrial, and agricultural water users on both sides of the international border have raised concerns about the long-term availability of this supply. Water quantity and quality are determining and limiting factors that ultimately control agriculture, future economic development, population growth, human health, and ecological conditions along the border. Knowledge about the extent, depletion rates, and quality of transboundary aquifers, however, is limited and, in some areas, completely absent.\n\nThe U.S. – Mexico Transboundary Aquifer Assessment Act (Public Law 109-448), referred to in this report as “the Act,” was signed into law by the President of the United States on December 22, 2006, to conduct binational scientific research to systematically assess priority transboundary aquifers and to address water information needs of border communities. The Act authorizes the Secretary of the Interior, through the U.S. Geological Survey (USGS), to collaborate with the States of Arizona, New Mexico, and Texas through their Water Resources Research Institutes (WRRIs) and with the International Boundary and Water Commission (IBWC), stakeholders, and Mexican counterparts to provide new information and a scientific foundation for State and local officials to address pressing water-resource challenges along the U.S. – Mexico border.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131059","usgsCitation":"2013, Five-year interim report of the United States-Mexico Transboundary Aquifer Assessment Program: 2007--2012: U.S. Geological Survey Open-File Report 2013-1059, iii, 31 p., https://doi.org/10.3133/ofr20131059.","productDescription":"iii, 31 p.","startPage":"i","endPage":"31","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":269355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131059.gif"},{"id":269354,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1059/pdf/ofr2013-1059.pdf"},{"id":269353,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1059/"}],"country":"United States;Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.36,14.53 ], [ -118.36,37.0 ], [ -94.0,37.0 ], [ -94.0,14.53 ], [ -118.36,14.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e359e4b073a963ff652d","contributors":{"editors":[{"text":"Alley, William M. walley@usgs.gov","contributorId":1661,"corporation":false,"usgs":true,"family":"Alley","given":"William","email":"walley@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":725889,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70044582,"text":"70044582 - 2013 - Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression","interactions":[],"lastModifiedDate":"2013-03-14T14:16:03","indexId":"70044582","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression","docAbstract":"Understanding plant community zonation along estuarine stress gradients is critical for effective conservation and restoration of coastal wetland ecosystems. We related the presence of plant community types to estuarine hydrology at 173 sites across coastal Louisiana. Percent relative cover by species was assessed at each site near the end of the growing season in 2008, and hourly water level and salinity were recorded at each site Oct 2007–Sep 2008. Nine plant community types were delineated with k-means clustering, and indicator species were identified for each of the community types with indicator species analysis. An inverse relation between salinity and species diversity was observed. Canonical correspondence analysis (CCA) effectively segregated the sites across ordination space by community type, and indicated that salinity and tidal amplitude were both important drivers of vegetation composition. Multinomial logistic regression (MLR) and Akaike's Information Criterion (AIC) were used to predict the probability of occurrence of the nine vegetation communities as a function of salinity and tidal amplitude, and probability surfaces obtained from the MLR model corroborated the CCA results. The weighted kappa statistic, calculated from the confusion matrix of predicted versus actual community types, was 0.7 and indicated good agreement between observed community types and model predictions. Our results suggest that models based on a few key hydrologic variables can be valuable tools for predicting vegetation community development when restoring and managing coastal wetlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecss.2012.12.002","usgsCitation":"Snedden, G., and Steyer, G.D., 2013, Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression: Estuarine, Coastal and Shelf Science, v. 118, p. 11-23, https://doi.org/10.1016/j.ecss.2012.12.002.","productDescription":"13 p.","startPage":"11","endPage":"23","ipdsId":"IP-033792","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":269352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269315,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2012.12.002"}],"volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35ee4b073a963ff653d","chorus":{"doi":"10.1016/j.ecss.2012.12.002","url":"http://dx.doi.org/10.1016/j.ecss.2012.12.002","publisher":"Elsevier BV","authors":"Snedden Gregg A., Steyer Gregory D.","journalName":"Estuarine, Coastal and Shelf Science","publicationDate":"2/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Snedden, Gregg A. 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":17338,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":475910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":475909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044516,"text":"70044516 - 2013 - High seroprevalence of antibodies to avian influenza viruses among wild waterfowl in Alaska: implications for surveillance","interactions":[],"lastModifiedDate":"2018-01-03T14:39:55","indexId":"70044516","displayToPublicDate":"2013-03-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"High seroprevalence of antibodies to avian influenza viruses among wild waterfowl in Alaska: implications for surveillance","docAbstract":"<p>We examined seroprevalence (presence of detectable antibodies in serum) for avian influenza viruses (AIV) among 4,485 birds, from 11 species of wild waterfowl in Alaska (1998&ndash;2010), sampled during breeding/molting periods. Seroprevalence varied among species (highest in eiders (Somateria and Polysticta species), and emperor geese (Chen canagica)), ages (adults higher than juveniles), across geographic locations (highest in the Arctic and Alaska Peninsula) and among years in tundra swans (Cygnus columbianus). All seroprevalence rates in excess of 60% were found in marine-dependent species. Seroprevalence was much higher than AIV infection based on rRT-PCR or virus isolation alone. Because pre-existing AIV antibodies can infer some protection against highly pathogenic AIV (HPAI H5N1), our results imply that some wild waterfowl in Alaska could be protected from lethal HPAIV infections. Seroprevalence should be considered in deciphering patterns of exposure, differential infection, and rates of AIV transmission. Our results suggest surveillance programs include species and populations with high AIV seroprevalences, in addition to those with high infection rates. Serologic testing, including examination of serotype-specific antibodies throughout the annual cycle, would help to better assess spatial and temporal patterns of AIV transmission and overall disease dynamics.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0058308","usgsCitation":"Wilson, H.M., Hall, J., Flint, P.L., Franson, J., Ely, C.R., Schmutz, J.A., and Samuel, M.D., 2013, High seroprevalence of antibodies to avian influenza viruses among wild waterfowl in Alaska: implications for surveillance: PLoS ONE, v. 8, no. 3, e58308; 7 p., https://doi.org/10.1371/journal.pone.0058308.","productDescription":"e58308; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043242","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70044573,"text":"sim3243 - 2013 - Flood-inundation maps for the Tippecanoe River near Delphi, Indiana","interactions":[],"lastModifiedDate":"2013-03-13T17:38:08","indexId":"sim3243","displayToPublicDate":"2013-03-13T00:00:00","publicationYear":"2013","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":"3243","title":"Flood-inundation maps for the Tippecanoe River near Delphi, Indiana","docAbstract":"Digital flood-inundation maps for an 11-mile reach of the Tippecanoe River that extends from County Road W725N to State Road 18 below Oakdale Dam, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at USGS streamgage 03333050, Tippecanoe River near Delphi, Ind. Current conditions at the USGS streamgages in Indiana may be obtained online at http://waterdata.usgs.gov/in/nwis/current/?type=flow. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often co-located at USGS streamgages. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nIn this study, water-surface profiles were simulated for the stream reach by means of a hydraulic one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation at USGS streamgage 03333050, Tippecanoe River near Delphi, Ind., and USGS streamgage 03332605, Tippecanoe River below Oakdale Dam, Ind. The hydraulic model was then used to simulate 13 water-surface profiles for flood stages at 1-foot intervals reference to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. A flood inundation map was generated for each water-surface profile stage (13 maps in all) so that, for any given flood stage, users will be able to view the estimated area of inundation.\n\nThe availability of these maps, along with current stage from USGS streamgages and forecasted stream stages from the NWS, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3243","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Menke, C.D., Bunch, A.R., and Kim, M.H., 2013, Flood-inundation maps for the Tippecanoe River near Delphi, Indiana: U.S. Geological Survey Scientific Investigations Map 3243, Maps: 13 Sheets: 17 x 22 inches; Pamphlet: vi, 9 p.; Downloads Directory, https://doi.org/10.3133/sim3243.","productDescription":"Maps: 13 Sheets: 17 x 22 inches; Pamphlet: vi, 9 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":269275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3243.gif"},{"id":269273,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sim/3243/pdf/mapsheets"},{"id":269274,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3243/Downloads"},{"id":269271,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3243/"},{"id":269272,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3243/pdf/sim3243.pdf"}],"country":"United States","state":"Indiana","city":"Delphi","otherGeospatial":"Tippecanoe River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.1,37.77 ], [ -88.1,41.76 ], [ -84.78,41.76 ], [ -84.78,37.77 ], [ -88.1,37.77 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514191dce4b0eefcba208d37","contributors":{"authors":[{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":475890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":475891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044550,"text":"ofr20131047 - 2013 - Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado","interactions":[],"lastModifiedDate":"2013-03-12T15:24:08","indexId":"ofr20131047","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","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":"2013-1047","title":"Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado","docAbstract":"This report releases geochemistry data in waters from the upper Animas River watershed that have been analyzed by inductively coupled plasma–mass spectrometry. These samples were collected at various sites and at various dates (41 sites and 86 samples from 2008 to 2010). A main data table is provided and the text discusses the sampling methods and locations in relation to other published reports.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131047","usgsCitation":"Johnson, R.H., and Yager, D.B., 2013, Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado: U.S. Geological Survey Open-File Report 2013-1047, iii, 3 p.; Table 1, https://doi.org/10.3133/ofr20131047.","productDescription":"iii, 3 p.; Table 1","startPage":"i","endPage":"3","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":269180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131047.gif"},{"id":269177,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1047/"},{"id":269179,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1047/table.xls"},{"id":269178,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1047/OF13-1047.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404080e4b089809dbf43ef","contributors":{"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":475871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044545,"text":"cir138011 - 2013 - An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","interactions":[{"subject":{"id":70044545,"text":"cir138011 - 2013 - An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","indexId":"cir138011","publicationYear":"2013","noYear":false,"chapter":"11","title":"An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2017-01-26T14:36:01","indexId":"cir138011","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"11","title":"An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","docAbstract":"Along the nearly 3,200 kilometers (almost 2,000 miles) of the United States–Mexican border, we are witnessing the expression of the challenges of the 21st century. The Borderlands have become a microcosm for the entire United States and Mexico; the issues faced in that region are felt throughout both nations—water availability and quality, ecosystem health, natural resource needs, safety from natural hazards, and human socioeconomic well-being. If these issues were not challenging enough, we now recognize that the difficulties of addressing them are exacerbated by the onset of climate change, and as we come to better understand the complexities of the components of these challenge themes, we discover that each part is inextricably intertwined with other overarching issues. Further, because we are a creative and progressive society, we all seek to understand and appreciate the natural environments associated with the Borderlands while at the same time benefitting from the region’s many social and economic values. It is little wonder that we as a society find it increasingly difficult to ask the right questions, much less find suitable answers to the questions we do ask. For the many scientists who have worked in the Borderlands and contributed to the preceding chapters, this circular is a way to describe to the two nations of the region the capabilities the U.S. Geological Survey can provide to assist in that quest for knowledge and understanding in preparation for the future.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science (Circular 1380)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir138011","usgsCitation":"Updike, R.G., and Page, W.R., 2013, An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>: U.S. Geological Survey Circular 1380, 10 p., https://doi.org/10.3133/cir138011.","productDescription":"10 p.","startPage":"272","endPage":"281","numberOfPages":"11","costCenters":[{"id":572,"text":"Southwest Region","active":false,"usgs":true}],"links":[{"id":269151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir138011.gif"},{"id":269149,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1380/downloads/Chapter11.pdf"},{"id":269150,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1380/"}],"country":"Mexico, United States","otherGeospatial":"United States-Mexico Borderlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.646484375,\n              24.246964554300924\n            ],\n            [\n              -96.6796875,\n              25.918526162075153\n            ],\n            [\n              -97.0751953125,\n              27.254629577800063\n            ],\n            [\n              -98.4375,\n              29.49698759653577\n            ],\n            [\n              -99.931640625,\n              30.713503990354965\n            ],\n            [\n              -103.22753906249999,\n              31.015278981711266\n            ],\n            [\n              -104.853515625,\n              32.65787573695528\n            ],\n            [\n              -106.34765625,\n              33.17434155100208\n            ],\n            [\n              -108.5009765625,\n              33.17434155100208\n            ],\n            [\n              -110.302734375,\n              32.95336814579932\n            ],\n            [\n              -112.939453125,\n              33.54139466898275\n            ],\n            [\n              -114.43359375,\n              33.8339199536547\n            ],\n            [\n              -117.158203125,\n              33.54139466898275\n            ],\n            [\n              -117.8173828125,\n              33.17434155100208\n            ],\n            [\n              -117.20214843749999,\n              31.690781806136822\n            ],\n            [\n              -114.9169921875,\n              31.50362930577303\n            ],\n            [\n              -110.8740234375,\n              30.06909396443887\n            ],\n            [\n              -108.2373046875,\n              30.14512718337613\n            ],\n            [\n              -105.16113281249999,\n              28.22697003891834\n            ],\n            [\n              -103.71093749999999,\n              27.488781168937997\n            ],\n            [\n              -101.90917968749999,\n              27.68352808378776\n            ],\n            [\n              -99.36035156249999,\n              25.363882272740256\n            ],\n            [\n              -98.3056640625,\n              24.686952411999155\n            ],\n            [\n              -97.646484375,\n              24.246964554300924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5140404fe4b089809dbf43db","contributors":{"authors":[{"text":"Updike, Randall G. updike@usgs.gov","contributorId":334,"corporation":false,"usgs":true,"family":"Updike","given":"Randall","email":"updike@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":475865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":475866,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044543,"text":"cir13809 - 2013 - Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","interactions":[{"subject":{"id":70044543,"text":"cir13809 - 2013 - Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","indexId":"cir13809","publicationYear":"2013","noYear":false,"chapter":"9","title":"Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2018-09-21T11:06:47","indexId":"cir13809","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"9","title":"Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","docAbstract":"Historically, international borders were located far from the major political and economic capitals of their countries and rarely received adequate planning or infrastructure development. Today, as a result of global economics and increased movement of goods between nations, border regions play a much greater role in commerce, tourism, and transportation. For example, Mexico is the second largest destination for United States exports (Woodrow Wilson Center Mexico Institute, 2009). The rapid population and economic growth along the United States–Mexican border, undocumented human border crossings, and the unique natural diversity of resources in the Borderlands present challenges for border security and environmental protection. Assessing risks and implementing sustainable growth policies to protect the environment and quality of life greatly increase in complexity when the issues cross an international border, where social services, environmental regulations, lifestyles, and cultural beliefs are unique for each country. Shared airsheds, water and biological resources, national security issues, and disaster management needs require an integrated binational approach to assess risks and develop binational management strategies.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science (Circular 1380)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13809","usgsCitation":"Parcher, J.W., and Page, W.R., 2013, Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>: U.S. Geological Survey Circular 1380, 30 p., https://doi.org/10.3133/cir13809.","productDescription":"30 p.","startPage":"204","endPage":"233","numberOfPages":"30","costCenters":[{"id":572,"text":"Southwest Region","active":false,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":269133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir13809.gif"},{"id":269131,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1380/downloads/Chapter9.pdf"},{"id":269132,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1380/"}],"country":"Mexico, United States","otherGeospatial":"United States-Mexico Borderlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.646484375,\n              24.246964554300924\n            ],\n            [\n              -96.6796875,\n              25.918526162075153\n            ],\n            [\n              -97.0751953125,\n              27.254629577800063\n            ],\n            [\n              -98.4375,\n              29.49698759653577\n            ],\n            [\n              -99.931640625,\n              30.713503990354965\n            ],\n            [\n              -103.22753906249999,\n              31.015278981711266\n            ],\n            [\n              -104.853515625,\n              32.65787573695528\n            ],\n            [\n              -106.34765625,\n              33.17434155100208\n            ],\n            [\n              -108.5009765625,\n              33.17434155100208\n            ],\n            [\n              -110.302734375,\n              32.95336814579932\n            ],\n            [\n              -112.939453125,\n              33.54139466898275\n            ],\n            [\n              -114.43359375,\n              33.8339199536547\n            ],\n            [\n              -117.158203125,\n              33.54139466898275\n            ],\n            [\n              -117.8173828125,\n              33.17434155100208\n            ],\n            [\n              -117.20214843749999,\n              31.690781806136822\n            ],\n            [\n              -114.9169921875,\n              31.50362930577303\n            ],\n            [\n              -110.8740234375,\n              30.06909396443887\n            ],\n            [\n              -108.2373046875,\n              30.14512718337613\n            ],\n            [\n              -105.16113281249999,\n              28.22697003891834\n            ],\n            [\n              -103.71093749999999,\n              27.488781168937997\n            ],\n            [\n              -101.90917968749999,\n              27.68352808378776\n            ],\n            [\n              -99.36035156249999,\n              25.363882272740256\n            ],\n            [\n              -98.3056640625,\n              24.686952411999155\n            ],\n            [\n              -97.646484375,\n              24.246964554300924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5140407de4b089809dbf43e3","contributors":{"authors":[{"text":"Parcher, Jean W. jwparcher@usgs.gov","contributorId":2209,"corporation":false,"usgs":true,"family":"Parcher","given":"Jean","email":"jwparcher@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":475856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":475855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044520,"text":"sir20135003 - 2013 - Hydrologic data and groundwater flow simulations in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana","interactions":[],"lastModifiedDate":"2018-10-02T11:21:55","indexId":"sir20135003","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","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":"2013-5003","title":"Hydrologic data and groundwater flow simulations in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana","docAbstract":"<p>The U.S. Geological Survey (USGS) collected data and simulated groundwater flow to increase understanding of the hydrology and the effects of drainage alterations to the water table in the vicinity of Long Lake, near Gary, Indiana. East Long Lake and West Long Lake (collectively known as Long Lake) make up one of the largest interdunal lakes within the Indiana Dunes National Lakeshore. The National Park Service is tasked with preservation and restoration of wetlands in the Indiana Dunes National Lakeshore along the southern shoreline of Lake Michigan. Urban development and engineering have modified drainage and caused changes in the distribution of open water, streams and ditches, and groundwater abundance and flow paths. A better understanding of the effects these modifications have on the hydrologic system in the area will help the National Park Service, the Gary Sanitary District (GSD), and local stakeholders manage and protect the resources within the study area.</p><p>This study used hydrologic data and steady-state groundwater simulations to estimate directions of groundwater flow and the effects of various engineering controls and climatic conditions on the hydrology near Long Lake. Periods of relatively high and low groundwater levels were examined and simulated by using MODFLOW and companion software. Simulated hydrologic modifications examined the effects of (1) removing the beaver dams in US-12 ditch, (2) discontinuing seepage of water from the filtration pond east of East Long Lake, (3) discontinuing discharge from US-12 ditch to the GSD sewer system, (4) decreasing discharge from US-12 ditch to the GSD sewer system, (5) connecting East Long Lake and West Long Lake, (6) deepening County Line Road ditch, and (7) raising and lowering the water level of Lake Michigan.</p><p>Results from collected hydrologic data indicate that East Long Lake functioned as an area of groundwater recharge during October 2002 and a “flow-through” lake during March 2011, with the groundwater divide south of US-12. Wetlands to the south of West Long Lake act as points of recharge to the surficial aquifer in both dry- and wet-weather conditions.</p><p>Among the noteworthy results from a dry-weather groundwater flow model simulation are (1) US-12 ditch does not receive water from East Long Lake or West Long Lake, (2) the filtration pond at the east end of East Long Lake, when active, contributed approximately 10 percent of the total water entering East Long Lake, and (3) County Line Road ditch has little effect on simulated water level.</p><p>Among the noteworthy results from a wet-weather groundwater flow simulation are (1) US-12 ditch does not receive water from East Long Lake or West Long Lake, (2) when the seepage from the filtration pond to the surficial aquifer is not active, sources of inflow to East Long Lake are restricted to only precipitation (46 percent of total) and inflow from the surficial aquifer (54 percent of total), and (3) County Line Road ditch bisects the groundwater divide and creates two water-table mounds south of US-12.</p><p>The results from a series of model scenarios simulating certain engineering controls and changes in Lake Michigan levels include the following: (1) The simulated removal of beaver dams in US-12 ditch during a wet-weather simulation increased discharge from the ditch to the Gary Sanitary system by 13 percent. (2) Discontinuation of seepage from the filtration pond east of East Long Lake decreased discharge from US-12 ditch to the Gary Sanitary system by 2.3 percent. (3) Simulated discontinuation of discharge from the US-12 ditch to the GSD sewer system increased the area where the water table was estimated to be above the land surface beyond the inundated area in the initial wet-weather simulation. (4) Simulated modifications to the control structure at the discharge point of US-12 ditch to the GSD sewer system can decrease discharge by as much as 61 percent while increasing the simulated inundated area during dry weather and decrease discharge as much as 6 percent while increasing the simulated inundated area during wet weather. (5) Deepening of County Line Road ditch can decrease the discharge from US-12 ditch by 26 percent during dry weather and 24 percent during wet weather, as well as decrease the extent of flooded areas south and east of the filtration pond near Ogden Dunes. (7) The increase of the Lake Michigan water level to match the historical maximum can increase the discharge from US-12 ditch by 14 percent during dry weather and by 9.6 percent during wet weather. (8) The decrease of the Lake Michigan water level to match the historical minimum can decrease the discharge from US-12 ditch by 7.4 percent during dry weather and by 3.1 percent during wet weather.</p><p>The results of this study can be used by water-resource managers to understand how surrounding ditches affect water levels in East and West Long Lake and in the surrounding wetlands and residential areas. The groundwater model developed in this study can be applied in the future to answer questions about how alterations to the drainage system in the area will affect water levels in East and West Long Lake and surrounding areas. The modeling methods developed in this study provide a template for other studies of groundwater flow and groundwater/surface-water interactions within the shallow surficial aquifer in northern Indiana, and in similar hydrologic settings that include surficial sand aquifers in coastal settings.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135003","collaboration":"Prepared in cooperation with the Gary Sanitary District, the Lake Michigan Coastal Program, the U.S. Army Corps of Engineers, and the National Park Service","usgsCitation":"Lampe, D.C., and Bayless, E.R., 2013, Hydrologic data and groundwater flow simulations in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana: U.S. Geological Survey Scientific Investigations Report 2013-5003, Report: xii, 96 p.; Data releases, https://doi.org/10.3133/sir20135003.","productDescription":"Report: xii, 96 p.; Data releases","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":357924,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZP45D5","text":"USGS data release","description":"USGS data release","linkHelpText":"2018 - MODFLOW-NWT model scenarios used to evaluate potential effects of proposed drainage modifications on groundwater discharge in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana"},{"id":349458,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7D21VS2","text":"USGS data release","description":"USGS data release","linkHelpText":"2017 - MODFLOW-NWT model used to evaluate potential effects of alterations to the hydrologic system in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana"},{"id":269068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135003.jpg"},{"id":269066,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5003/"},{"id":269067,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5003/pdf/SIR2013-5003.pdf","text":"Report","size":"11.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2013-5003"}],"country":"United States","state":"Indiana","city":"Gary","otherGeospatial":"Indiana Dunes National Lakeshore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.1,37.8 ], [ -88.1,41.8 ], [ -84.8,41.8 ], [ -84.8,37.8 ], [ -88.1,37.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513eeee0e4b0dcc733969347","contributors":{"authors":[{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bayless, E. Randall 0000-0002-0357-3635 ebayless@usgs.gov","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":1518,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"ebayless@usgs.gov","middleInitial":"Randall","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":475799,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044524,"text":"pp1798B - 2013 - General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011","interactions":[{"subject":{"id":70044524,"text":"pp1798B - 2013 - General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011","indexId":"pp1798B","publicationYear":"2013","noYear":false,"chapter":"B","title":"General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:18:06.557063","indexId":"pp1798B","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"B","title":"General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011","docAbstract":"Excessive precipitation produced severe flooding in the Mississippi River and Red River of the North Basins during spring and summer 2011. The 2011 flooding was caused by weather conditions that were affected in part by a La Niña climate pattern. During the 2010–11 climatological winter (December 2010–February 2011), several low pressure troughs from the Rocky Mountains into the Ohio River subbasin produced large amounts of precipitation. Precipitation was above normal to record amounts in parts of the Missouri River, Red River of the North, and upper Mississippi River subbasins, and mostly normal to below normal in the Ohio River and lower Mississippi River subbasins. During the 2011 climatological spring (March–May 2011), a large low pressure trough over the continental States and a high pressure ridge centered in the vicinity of the Gulf of Mexico combined to produce storms with copious precipitation along frontal boundaries across the Central States. Rain totals recorded during the April 18–28, 2011, precipitation event were more than 8 inches at several locations, while an impressive total of 16.15 inches was recorded at Cape Girardeau, Missouri. Several locations in the Missouri River subbasin had rainfall totals that were nearly one-third to one-half of their 1971–2000 normal annual amounts during a May 16–31, 2011, precipitation event. During June and July, thunderstorm development along frontal boundaries resulted in areas of heavy rain across the Missouri River, Red River of the North, and upper Mississippi River subbasins, while rainfall in the lower Mississippi River subbasin was mostly below normal.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798B","usgsCitation":"Vining, K.C., Chase, K.J., and Loss, G.R., 2013, General weather conditions and precipitation contributing to the 2011 flooding in the Mississippi River and Red River of the North Basins, December 2010 through July 2011: U.S. Geological Survey Professional Paper 1798, iv, 22 p., https://doi.org/10.3133/pp1798B.","productDescription":"iv, 22 p.","startPage":"i","endPage":"22","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-12-01","temporalEnd":"2011-07-31","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":269073,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798b/"},{"id":269075,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798b.gif"},{"id":269074,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798b/pp1798b.pdf"}],"country":"United States","otherGeospatial":"Mississippi River;Red River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513eeedee4b0dcc73396933f","contributors":{"authors":[{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":475820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loss, Gina R.","contributorId":31644,"corporation":false,"usgs":true,"family":"Loss","given":"Gina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475821,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044499,"text":"sim3244 - 2013 - Flood-inundation maps for the Saluda River from Old Easley Bridge Road to Saluda Lake Dam near Greenville, South Carolina","interactions":[],"lastModifiedDate":"2018-03-23T14:25:53","indexId":"sim3244","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","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":"3244","title":"Flood-inundation maps for the Saluda River from Old Easley Bridge Road to Saluda Lake Dam near Greenville, South Carolina","docAbstract":"Digital flood-inundation maps for a 3.95-mile reach of the Saluda River from approximately 815 feet downstream from Old Easley Bridge Road to approximately 150 feet downstream from Saluda Lake Dam near Greenville, South Carolina, were developed by the U.S. Geological Survey (USGS). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Saluda River near Greenville, South Carolina (station 02162500). Current conditions at the USGS streamgage may be obtained through the National Water Information System Web site at http://waterdata.usgs.gov/sc/nwis/uv/?site_no=02162500&PARAmeter_cd=00065,00060,00062. The National Weather Service (NWS) forecasts flood hydrographs at many places that are often collocated with USGS streamgages. Forecasted peak-stage information is available on the Internet at the NWS Advanced Hydrologic Prediction Service (AHPS) flood-warning system Web site (http://water.weather.gov/ahps/) and may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-streamflow relations at USGS streamgage station 02162500, Saluda River near Greenville, South Carolina. The hydraulic model was then used to determine water-surface profiles for flood stages at 1.0-foot intervals referenced to the streamgage datum and ranging from approximately bankfull to 2 feet higher than the highest recorded water level at the streamgage. The simulated water-surface profiles were then exported to a geographic information system, ArcGIS, and combined with a digital elevation model (derived from Light Detection and Ranging [LiDAR] data with a 0.6-foot vertical Root Mean Square Error [RMSE] and a 3.0-foot horizontal RMSE), using HEC-GeoRAS tools in order to delineate the area flooded at each water level. The availability of these maps, along with real-time stage data from the USGS streamgage station 02162500 and forecasted stream stages from the NWS, can provide emergency management personnel and residents with information that is critical during flood-response and flood-recovery activities, such as evacuations, road closures, and disaster declarations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3244","usgsCitation":"Benedict, S., Caldwell, A.W., and Clark, J.M., 2013, Flood-inundation maps for the Saluda River from Old Easley Bridge Road to Saluda Lake Dam near Greenville, South Carolina: U.S. Geological Survey Scientific Investigations Map 3244, Pamphlet: v, 7 p.; 15 Sheets; Downloads directory, https://doi.org/10.3133/sim3244.","productDescription":"Pamphlet: v, 7 p.; 15 Sheets; Downloads directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":70044519,"text":"fs20133010 - 2013 - Consequences of land use and land cover change","interactions":[],"lastModifiedDate":"2017-03-29T12:40:02","indexId":"fs20133010","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3010","title":"Consequences of land use and land cover change","docAbstract":"The U.S. Geological Survey (USGS) Climate and Land Use Change Mission Area is one of seven USGS mission areas that focuses on making substantial scientific \"...contributions to understanding how Earth systems interact, respond to, and cause global change\". Using satellite and other remotely sensed data, USGS scientists monitor patterns of land cover change over space and time at regional, national, and global scales. These data are analyzed to understand the causes and consequences of changing land cover, such as economic impacts, effects on water quality and availability, the spread of invasive species, habitats and biodiversity, carbon fluctuations, and climate variability. USGS scientists are among the leaders in the study of land cover, which is a term that generally refers to the vegetation and artificial structures that cover the land surface. Examples of land cover include forests, grasslands, wetlands, water, crops, and buildings. Land use involves human activities that take place on the land. For example, \"grass\" is a land cover, whereas pasture and recreational parks are land uses that produce a cover of grass.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133010","usgsCitation":"Slonecker, E.T., Barnes, C., Karstensen, K., Milheim, L., and Roig-Silva, C., 2013, Consequences of land use and land cover change: U.S. Geological Survey Fact Sheet 2013-3010, 4 p., https://doi.org/10.3133/fs20133010.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269064,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3010/"},{"id":269065,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3010/pdf/fs2013-3010.pdf"},{"id":269069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133010.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513eeedde4b0dcc733969337","contributors":{"authors":[{"text":"Slonecker, E. Terrence 0000-0002-5793-0503","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":67175,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":false,"id":475795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Christopher 0000-0002-4608-4364 barnes@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":3617,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"barnes@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":475794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karstensen, Krista","contributorId":97758,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","affiliations":[],"preferred":false,"id":475796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milheim, Lesley E.","contributorId":100951,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","affiliations":[],"preferred":false,"id":475797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roig-Silva, Coral M.","contributorId":108370,"corporation":false,"usgs":true,"family":"Roig-Silva","given":"Coral M.","affiliations":[],"preferred":false,"id":475798,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044541,"text":"cir13807 - 2013 - Challenge theme 5: Current and future needs of energy and mineral resources in the Borderlands and the effects of their development: Chapter 7 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","interactions":[{"subject":{"id":70044541,"text":"cir13807 - 2013 - Challenge theme 5: Current and future needs of energy and mineral resources in the Borderlands and the effects of their development: Chapter 7 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","indexId":"cir13807","publicationYear":"2013","noYear":false,"chapter":"7","title":"Challenge theme 5: Current and future needs of energy and mineral resources in the Borderlands and the effects of their development: Chapter 7 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2017-01-26T15:02:51","indexId":"cir13807","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"7","title":"Challenge theme 5: Current and future needs of energy and mineral resources in the Borderlands and the effects of their development: Chapter 7 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","docAbstract":"Exploration and extraction activities related to energy and mineral resources in the Borderlands—such as coal-fired power plants, offshore drilling, and mining—can create issues that have potentially major economic and environmental implications. 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,{"id":70044502,"text":"70044502 - 2013 - Modeling variably saturated subsurface solute transport with MODFLOW-UZF and MT3DMS","interactions":[],"lastModifiedDate":"2013-03-11T20:43:16","indexId":"70044502","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling variably saturated subsurface solute transport with MODFLOW-UZF and MT3DMS","docAbstract":"The MT3DMS groundwater solute transport model was modified to simulate solute transport in the unsaturated zone by incorporating the unsaturated-zone flow (UZF1) package developed for MODFLOW. The modified MT3DMS code uses a volume-averaged approach in which Lagrangian-based UZF1 fluid fluxes and storage changes are mapped onto a fixed grid. Referred to as UZF-MT3DMS, the linked model was tested against published benchmarks solved analytically as well as against other published codes, most frequently the U.S. Geological Survey's Variably-Saturated Two-Dimensional Flow and Transport Model. Results from a suite of test cases demonstrate that the modified code accurately simulates solute advection, dispersion, and reaction in the unsaturated zone. Two- and three-dimensional simulations also were investigated to ensure unsaturated-saturated zone interaction was simulated correctly. Because the UZF1 solution is analytical, large-scale flow and transport investigations can be performed free from the computational and data burdens required by numerical solutions to Richards' equation. Results demonstrate that significant simulation runtime savings can be achieved with UZF-MT3DMS, an important development when hundreds or thousands of model runs are required during parameter estimation and uncertainty analysis. Three-dimensional variably saturated flow and transport simulations revealed UZF-MT3DMS to have runtimes that are less than one tenth of the time required by models that rely on Richards' equation. Given its accuracy and efficiency, and the wide-spread use of both MODFLOW and MT3DMS, the added capability of unsaturated-zone transport in this familiar modeling framework stands to benefit a broad user-ship.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6584.2012.00971.x","usgsCitation":"Morway, E., Niswonger, R., Langevin, C.D., Bailey, R., and Healy, R.W., 2013, Modeling variably saturated subsurface solute transport with MODFLOW-UZF and MT3DMS: Ground Water, v. 51, no. 2, p. 237-251, https://doi.org/10.1111/j.1745-6584.2012.00971.x.","productDescription":"15 p.","startPage":"237","endPage":"251","ipdsId":"IP-034540","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":473920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1745-6584.2012.00971.x","text":"Publisher Index Page"},{"id":269092,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00971.x"},{"id":269093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-07-26","publicationStatus":"PW","scienceBaseUri":"513eeee1e4b0dcc73396934b","contributors":{"authors":[{"text":"Morway, Eric D.","contributorId":72276,"corporation":false,"usgs":true,"family":"Morway","given":"Eric D.","affiliations":[],"preferred":false,"id":475755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":475754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":475753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Ryan T.","contributorId":105986,"corporation":false,"usgs":true,"family":"Bailey","given":"Ryan T.","affiliations":[],"preferred":false,"id":475756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":475752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044534,"text":"cir13802 - 2013 - The Borderlands - A region of physical and cultural diversity: Chapter 2 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","interactions":[{"subject":{"id":70044534,"text":"cir13802 - 2013 - The Borderlands - A region of physical and cultural diversity: Chapter 2 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","indexId":"cir13802","publicationYear":"2013","noYear":false,"chapter":"2","title":"The Borderlands - A region of physical and cultural diversity: Chapter 2 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2018-08-06T13:02:34","indexId":"cir13802","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"2","title":"The Borderlands - A region of physical and cultural diversity: Chapter 2 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","docAbstract":"The area surrounding the United States–Mexican border is very physically and culturally diverse and cannot be generalized by any single description. To assist in an accurate appraisal and understanding of this remarkable region, the Borderlands team has divided it into eight subareas based on the watershed subareas of the U.S. Geological Survey Border Environmental Health Initiative (http://borderhealth.cr.usgs.gov) (fig. 2–1), the boundaries of which are defined primarily by surface-water drainage basins. The drainage basins directly adjacent to or crossing the international boundary were automatically included in the defined border region, as were those basins that contain unconsolidated aquifers that extend to or cross the international boundary. Also, “protected areas” adjacent to included basins were selectively added to the defined border region. Though some geographic features are entirely within the Borderlands, many features—deserts, mountain ranges, rivers, etc.— extend beyond the region boundaries but are still influential to Borderlands environments (fig. 2–2). In some cases, the authors of the following chapters have made fine adjustments to the Borderlands boundaries, and they have described those alterations where necessary. 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