{"pageNumber":"572","pageRowStart":"14275","pageSize":"25","recordCount":46684,"records":[{"id":70046705,"text":"ds762 - 2013 - Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina","interactions":[],"lastModifiedDate":"2013-06-26T13:05:09","indexId":"ds762","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"762","title":"Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina","docAbstract":"Geologic mapping, the collection of borehole geophysical logs and images, and passive diffusion bag sampling were conducted by the U.S. Geological Survey North Carolina Water Science Center in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina, during March through October 2011. The study purpose was to assist the U.S. Environmental Protection Agency in the development of a conceptual groundwater model for the assessment of current contaminant distribution and future migration of contaminants. Data compilation efforts included geologic mapping of more than 250 features, including rock type and secondary joints, delineation of more than 1,300 subsurface features (primarily fracture orientations) in 15 open borehole wells, and the collection of passive diffusion-bag samples from 42 fracture zones at various depths in the 15 wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds762","collaboration":"Prepared in cooperation with U.S. Environmental Protection Agency Region 4 Superfund Section","usgsCitation":"Chapman, M.J., Clark, T.W., and Williams, J., 2013, Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina: U.S. Geological Survey Data Series 762, Report: viii, 37 p.; Appendixes 1-8, https://doi.org/10.3133/ds762.","productDescription":"Report: viii, 37 p.; Appendixes 1-8","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":274259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds762.gif"},{"id":274258,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/762/appendix"},{"id":274256,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/762/"},{"id":274257,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/762/pdf/ds762.pdf"}],"country":"United States","state":"North Carolina","city":"Roxboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.32,33.84 ], [ -84.32,36.58 ], [ -75.46,36.58 ], [ -75.46,33.84 ], [ -84.32,33.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff54e4b052f2a4539863","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Timothy W.","contributorId":104377,"corporation":false,"usgs":true,"family":"Clark","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040668,"text":"70040668 - 2013 - Human-caused mortality influences spatial population dynamics: pumas in landscapes with varying mortality risks","interactions":[],"lastModifiedDate":"2013-06-26T15:38:26","indexId":"70040668","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Human-caused mortality influences spatial population dynamics: pumas in landscapes with varying mortality risks","docAbstract":"An understanding of how stressors affect dispersal attributes and the contribution of local populations to multi-population dynamics are of immediate value to basic and applied ecology. Puma (Puma concolor) populations are expected to be influenced by inter-population movements and susceptible to human-induced source–sink dynamics. Using long-term datasets we quantified the contribution of two puma populations to operationally define them as sources or sinks. The puma population in the Northern Greater Yellowstone Ecosystem (NGYE) was largely insulated from human-induced mortality by Yellowstone National Park. Pumas in the western Montana Garnet Mountain system were exposed to greater human-induced mortality, which changed over the study due to the closure of a 915 km<sup>2</sup> area to hunting. The NGYE’s population growth depended on inter-population movements, as did its ability to act as a source to the larger region. The heavily hunted Garnet area was a sink with a declining population until the hunting closure, after which it became a source with positive intrinsic growth and a 16× increase in emigration. We also examined the spatial and temporal characteristics of individual dispersal attributes (emigration, dispersal distance, establishment success) of subadult pumas (N = 126). Human-caused mortality was found to negatively impact all three dispersal components. Our results demonstrate the influence of human-induced mortality on not only within population vital rates, but also inter-population vital rates, affecting the magnitude and mechanisms of local population’s contribution to the larger metapopulation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2012.10.018","usgsCitation":"Newby, J.R., Mills, L.S., Ruth, T.K., Pletscher, D.H., Mitchell, M.S., Quigley, H.B., Murphy, K.M., and DeSimone, R., 2013, Human-caused mortality influences spatial population dynamics: pumas in landscapes with varying mortality risks: Biological Conservation, v. 159, p. 230-239, https://doi.org/10.1016/j.biocon.2012.10.018.","productDescription":"10 p.","startPage":"230","endPage":"239","ipdsId":"IP-032926","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274263,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2012.10.018"}],"country":"United States","volume":"159","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff54e4b052f2a4539867","contributors":{"authors":[{"text":"Newby, Jesse R.","contributorId":100718,"corporation":false,"usgs":true,"family":"Newby","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, L. Scott","contributorId":89431,"corporation":false,"usgs":true,"family":"Mills","given":"L.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":468751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruth, Toni K.","contributorId":43657,"corporation":false,"usgs":true,"family":"Ruth","given":"Toni","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":468750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pletscher, Daniel H.","contributorId":30894,"corporation":false,"usgs":true,"family":"Pletscher","given":"Daniel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":468749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":468746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quigley, Howard B.","contributorId":13198,"corporation":false,"usgs":true,"family":"Quigley","given":"Howard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Kerry M.","contributorId":14279,"corporation":false,"usgs":true,"family":"Murphy","given":"Kerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeSimone, Rich","contributorId":99451,"corporation":false,"usgs":true,"family":"DeSimone","given":"Rich","email":"","affiliations":[],"preferred":false,"id":468752,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046040,"text":"70046040 - 2013 - Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","interactions":[],"lastModifiedDate":"2017-02-13T14:31:47","indexId":"70046040","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","docAbstract":"1. Ecosystems at high altitudes and latitudes are expected to be particularly vulnerable to the effects of global change. We assessed the responses of littoral invertebrate communities to changing abiotic conditions in subarctic Swedish lakes with long-term data (1988–2010) and compared the responses of subarctic lakes with those of more southern, hemiboreal lakes. 2. We used a complex systems approach, based on multivariate time-series modelling, and identified dominant and distinct temporal frequencies in the data; that is, we tracked community change at distinct temporal scales. We determined the distribution of functional feeding groups of invertebrates within and across temporal scales. Within and cross-scale distributions of functions have been considered to confer resilience to ecosystems, despite changing environmental conditions. 3. Two patterns of temporal change within the invertebrate communities were identified that were consistent across the lakes. The first pattern was one of monotonic change associated with changing abiotic lake conditions. The second was one of showing fluctuation patterns largely unrelated to gradual environmental change. Thus, two dominant and distinct temporal frequencies (temporal scales) were present in all lakes analysed. 4. Although the contribution of individual feeding groups varied between subarctic and hemiboreal lakes, they shared overall similar functional attributes (richness, evenness, diversity) and redundancies of functions within and between the observed temporal scales. This highlights similar resilience characteristics in subarctic and hemiboreal lakes. 5. Synthesis and applications. The effects of global change can be particularly strong at a single scale in ecosystems. Over time, this can cause monotonic change in communities and eventually lead to a loss of important ecosystem services upon reaching a critical threshold. Dynamics at other spatial or temporal scales can be unrelated to environmental change. The relative ‘intactness’ of these scales that are unaffected by global change and the persistence of functions at those scales may safeguard the whole system from the potential loss of functions at the scale at which global change impacts can be substantial. Thus, an understanding of scale-specific processes provides managers with a realistic assessment of vulnerabilities and the relative resilience of ecosystems to environmental change. Explicit consideration of ‘intact’ and ‘affected’ scales in analyses of global change impacts provides opportunities to tailor more specific management plans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12092","usgsCitation":"Angeler, D., Allen, C.R., and Johnson, R.K., 2013, Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales: Journal of Applied Ecology, v. 50, no. 3, p. 572-584, https://doi.org/10.1111/1365-2664.12092.","productDescription":"13 p.","startPage":"572","endPage":"584","ipdsId":"IP-043647","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12092","text":"Publisher Index Page"},{"id":274251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274250,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12092"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-04-29","publicationStatus":"PW","scienceBaseUri":"51cbff56e4b052f2a4539877","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":478742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":478741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045753,"text":"70045753 - 2013 - The relative contribution of methanotrophs to microbial communities and carbon cycling in soil overlying a coal-bed methane seep","interactions":[],"lastModifiedDate":"2013-06-26T11:45:13","indexId":"70045753","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"title":"The relative contribution of methanotrophs to microbial communities and carbon cycling in soil overlying a coal-bed methane seep","docAbstract":"Seepage of coal-bed methane (CBM) through soils is a potential source of atmospheric CH<sub>4</sub> and also a likely source of ancient (i.e. <sup>14</sup>C-dead) carbon to soil microbial communities. Natural abundance <sup>13</sup>C and <sup>14</sup>C compositions of bacterial membrane phospholipid fatty acids (PLFAs) and soil gas CO<sub>2</sub> and CH<sub>4</sub> were used to assess the incorporation of CBM-derived carbon into methanotrophs and other members of the soil microbial community. Concentrations of type I and type II methanotroph PLFA biomarkers (16:1ω8c and 18:1ω8c, respectively) were elevated in CBM-impacted soils compared with a control site. Comparison of PLFA and 16s rDNA data suggested type I and II methanotroph populations were well estimated and overestimated by their PLFA biomarkers, respectively. The δ<sup>13</sup>C values of PLFAs common in type I and II methanotrophs were as negative as −67‰ and consistent with the assimilation of CBM. PLFAs more indicative of nonmethanotrophic bacteria had δ<sup>13</sup>C values that were intermediate indicating assimilation of both plant- and CBM-derived carbon. Δ<sup>14</sup>C values of select PLFAs (−351 to −936‰) indicated similar patterns of CBM assimilation by methanotrophs and nonmethanotrophs and were used to estimate that 35–91% of carbon assimilated by nonmethanotrophs was derived from CBM depending on time of sampling and soil depth.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"FEMS Microbiology Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1574-6941.12079","usgsCitation":"Mills, C., Slater, G.F., Dias, R.F., Carr, S.A., Reddy, C., Schmidt, R., and Mandernack, K.W., 2013, The relative contribution of methanotrophs to microbial communities and carbon cycling in soil overlying a coal-bed methane seep: FEMS Microbiology Ecology, v. 84, no. 3, p. 474-494, https://doi.org/10.1111/1574-6941.12079.","productDescription":"21 p.","startPage":"474","endPage":"494","ipdsId":"IP-042235","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274254,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1574-6941.12079"}],"volume":"84","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-19","publicationStatus":"PW","scienceBaseUri":"51cbff58e4b052f2a453988f","contributors":{"authors":[{"text":"Mills, Christopher T. 0000-0001-8414-1414","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":93308,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","affiliations":[],"preferred":false,"id":478286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Gregory F.","contributorId":108010,"corporation":false,"usgs":true,"family":"Slater","given":"Gregory","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":478288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dias, Robert F. rfdias@usgs.gov","contributorId":3746,"corporation":false,"usgs":true,"family":"Dias","given":"Robert","email":"rfdias@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":478282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Stephanie A.","contributorId":8752,"corporation":false,"usgs":true,"family":"Carr","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, Christopher M.","contributorId":103164,"corporation":false,"usgs":true,"family":"Reddy","given":"Christopher M.","affiliations":[],"preferred":false,"id":478287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmidt, Raleigh","contributorId":85306,"corporation":false,"usgs":true,"family":"Schmidt","given":"Raleigh","email":"","affiliations":[],"preferred":false,"id":478285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mandernack, Kevin W.","contributorId":43258,"corporation":false,"usgs":true,"family":"Mandernack","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":478284,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045517,"text":"70045517 - 2013 - Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model","interactions":[],"lastModifiedDate":"2020-12-18T19:45:23.718589","indexId":"70045517","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model","docAbstract":"<p><span>The National Petroleum Reserve–Alaska (NPR-A) in northeastern Alaska provides winter maternal denning habitat for polar bears (</span><i>Ursus maritimus</i><span>) and also has high potential for recoverable hydrocarbons. Denning polar bears exposed to human activities may abandon their dens before their young are able to survive the severity of Arctic winter weather. To ensure that wintertime petroleum activities do not threaten polar bears, managers need to know the distribution of landscape features in which maternal dens are likely to occur. Here, we present a map of potential denning habitat within the NPR-A. We used a fine-grain digital elevation model derived from Interferometric Synthetic Aperture Radar (IfSAR) to generate a map of putative denning habitat. We then tested the map’s ability to identify polar bear denning habitat on the landscape. Our final map correctly identified 82% of denning habitat estimated to be within the NPR-A. Mapped denning habitat comprised 19.7 km2 (0.1% of the study area) and was widely dispersed. Though mapping denning habitat with IfSAR data was as effective as mapping with the photogrammetric methods used for other regions of the Alaskan Arctic coastal plain, the use of GIS to analyze IfSAR data allowed greater objectivity and flexibility with less manual labor. Analytical advantages and performance equivalent to that of manual cartographic methods suggest that the use of IfSAR data to identify polar bear maternal denning habitat is a better management tool in the NPR-A and wherever such data may be available.</span></p>","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4291","usgsCitation":"Durner, G.M., Simac, K.S., and Amstrup, S.C., 2013, Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model: Arctic, v. 66, no. 2, p. 139-245, https://doi.org/10.14430/arctic4291.","productDescription":"107 p.","startPage":"139","endPage":"245","ipdsId":"IP-042296","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":489049,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4291","text":"Publisher Index Page"},{"id":438786,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DJ5DXT","text":"USGS data release","linkHelpText":"Mapping data of Polar Bear (Ursus maritimus) maternal den habitat, Arctic Coastal Plain, Alaska"},{"id":381515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"66","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"51caadcfe4b0d298e5434c0d","contributors":{"authors":[{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":477707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046696,"text":"ds754 - 2013 - National wildlife refuge visitor survey 2012--Individual refuge results","interactions":[],"lastModifiedDate":"2013-06-25T15:30:26","indexId":"ds754","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"754","title":"National wildlife refuge visitor survey 2012--Individual refuge results","docAbstract":"The National Wildlife Refuge System (Refuge System), established in 1903 and managed by the U.S. Fish and Wildlife Service (Service), is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 560 national wildlife refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts nearly 45 million visitors annually, including 34.8 million people who observe and photograph wildlife, 9.6 million who hunt and fish, and nearly 675,000 teachers and students who use refuges as outdoor classrooms. Understanding visitor perceptions of refuges and characterizing their experiences on refuges are critical elements of managing these lands and meeting the goals of the Refuge System. The Service collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The purpose of the survey was to better understand visitor experiences and trip characteristics, to gauge visitors’ levels of satisfaction with existing recreational opportunities, and to garner feedback to inform the design of programs and facilities. The survey results will inform performance, planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plans (CCPs), visitor services, and transportation planning processes. This Data Series consists of 25 separate data files. Each file describes the results of the survey for an individual refuge and contains the following information: • Introduction: An overview of the Refuge System and the goals of the national surveying effort. • Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results.• Refuge Description: A brief description of the refuge location, acreage, purpose, recreational activities, and visitation statistics, including a map (where available) and refuge website link. • Sampling at This Refuge: The sampling periods, locations, and response rate for the refuge. • Selected Survey Results: Key findings for the refuge, including: o Visitor and trip characteristics o Visitor spending in the local communities o Visitors opinions about the refuge o Visitor opinions about National Wildlife Refuge System topics • Conclusion • References Cited • Survey Frequencies (Appendix A): The survey instrument with frequency results for the refuge. • Visitor Comments (Appendix B): The verbatim responses to the open-ended survey questions for the refuge.Individual-refuge results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/643/ as part of USGS Data Series 643. Combined results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/685/ as part of USGS Data Series 685.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds754","usgsCitation":"Dietsch, A.M., Sexton, N.R., Koontz, L.M., and Conk, S.J., 2013, National wildlife refuge visitor survey 2012--Individual refuge results: U.S. Geological Survey Data Series 754, NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685, https://doi.org/10.3133/ds754.","productDescription":"NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274222,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/CaliforniaNevadaRegion(R8)/Don%20Edwards%20San%20Francisco%20Bay%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274223,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/685"},{"id":274221,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/643/"},{"id":274201,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Santa%20Ana%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274196,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/PacificRegion(R1)/Ridgefield%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274197,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Balcones%20Canyonlands%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274195,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/754/"},{"id":274202,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Tishomingo%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274199,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Hagerman%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Kofa%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274203,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/GreatLakes-BigRiversRegion(R3)/La%20Crosse%20District,%20Upper%20Mississippi%20River%20National%20Wildlife%20and%20Fish%20Refuge%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274204,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/GreatLakes-BigRiversRegion(R3)/Minnesota%20Valley%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274205,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Crystal%20River%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274206,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Eufaula%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274207,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Felsenthal%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274208,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Lacassine%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274209,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/National%20Key%20Deer%20Refuge%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274210,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Savannah%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Back%20Bay%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Assabet%20River%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274213,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Chincoteague%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274214,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Edwin%20B.%20Forsythe%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274215,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Rachel%20Carson%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274216,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/Bear%20River%20Migratory%20Bird%20Refuge%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274217,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/Lee%20Metcalf%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274218,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/Rocky%20Mountain%20Arsenal%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274219,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/National%20Bison%20Range%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274220,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/CaliforniaNevadaRegion(R8)/San%20Luis%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51caadd4e4b0d298e5434c11","contributors":{"authors":[{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conk, Shannon J.","contributorId":21516,"corporation":false,"usgs":true,"family":"Conk","given":"Shannon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480030,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046691,"text":"sim3263 - 2013 - Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T14:00:01","indexId":"sim3263","displayToPublicDate":"2013-06-25T00:00:00","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":"3263","title":"Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"<p>Most of the subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction mostly in the clay and silt layers of the aquifer sediments. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains maps depicting approximate water-level altitudes for 2013 (represented by measurements made during December 2012-February 2013) for the Chicot, Evangeline, and Jasper aquifers; maps depicting 1-year (2012-13) water-level changes for each aquifer; maps depicting 5-year (2008--13) water-level changes for each aquifer; maps depicting long-term (1990-2013 and 1977-2013) water-level changes for the Chicot and Evangeline aquifers; a map depicting long-term (2000-13) water-level changes for the Jasper aquifer; a map depicting locations of borehole-extensometer sites; and graphs depicting measured compaction of subsurface sediments at the extensometers during 1973-2012. Tables listing the data used to construct each water-level map for each aquifer and the compaction graphs are included.</p>\n<p>In 2013, water-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below North American Vertical Datum of 1988 (hereinafter, datum) in a small area in southwestern Harris County to 200 ft above datum in central to west-central Montgomery County. Water-level changes during 2012-13 in the Chicot aquifer ranged from a 58-ft decline to a 37-ft rise. Contoured 5-year and long-term changes in water levels in the Chicot aquifer ranged from a 30-ft decline to an 80-ft rise (2008-13), from a 120-ft decline to a 100-ft rise (1990-2013), and from an 80-ft decline to a 200-ft rise (1977-2013). In 2013, water-level-altitude contours for the Evangeline aquifer ranged from 300 ft below datum in south-central Montgomery County to 200 ft above datum in southeastern Grimes and northwestern Montgomery Counties. Water-level changes for 2012-13 in the Evangeline aquifer ranged from a 37-ft decline to a 68-ft rise. Contoured 5-year and long-term changes in water levels in the Evangeline aquifer ranged from an 80-ft decline to an 80-ft rise (2008-13), from a 220-ft decline to a 220-ft rise (1990-2013), and from a 360-ft decline to a 260-ft rise (1977-2013). In 2013, water-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum in south-central Montgomery and north-central Harris Counties to 250 ft above datum in northwestern Montgomery County and extending into northeastern Grimes and south-central Walker Counties. Water-level changes for 2012-13 in the Jasper aquifer ranged from a 36-ft decline to an 87-ft rise. Contoured changes in water levels in the Jasper aquifer ranged from a 100-ft decline to 20-ft rise (2008-13) and from a 220-ft decline to no change (2000-13).</p>\n<p>Compaction of subsurface sediments (mostly in the clay and silt layers) of the Chicot and Evangeline aquifers was recorded continuously by 13 borehole extensometers at 11 sites that were either activated or installed between 1973 and 1980. For the period of record beginning in 1973 (or later depending on activation or installation date) and ending in December 2012, cumulative measured compaction by 12 of the 13 extensometers ranged from 0.100 ft at the Texas City-Moses Lake extensometer to 3.632 ft at the Addicks extensometer (data were used from only one of two extensometers at one site). The rate of compaction varies from site to site because of differences in groundwater withdrawals near each site and differences among sites in the clay-to-sand ratio in the subsurface sediments. Therefore, it is not possible to extrapolate or infer a rate of compaction for adjacent areas based on the rate of compaction measured at a nearby extensometer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3263","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Johnson, M., and Ramage, J.K., 2013, Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas: U.S. Geological Survey Scientific Investigations Map 3263, Report: viii, 19 p.; 16 Sheets: 17.00 x 22.01 inches or smaller; 15 Tables: xlsx files; 3 Appendixes; Dataset; ReadME file, https://doi.org/10.3133/sim3263.","productDescription":"Report: viii, 19 p.; 16 Sheets: 17.00 x 22.01 inches or smaller; 15 Tables: xlsx files; 3 Appendixes; Dataset; ReadME file","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":274183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3263.gif"},{"id":274161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet01.pdf"},{"id":274162,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet02.pdf"},{"id":274159,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3263/SIM_3263.pdf"},{"id":274160,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3263/"},{"id":274163,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet03.pdf"},{"id":274164,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet04.pdf"},{"id":274165,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet05.pdf"},{"id":274166,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet06.pdf"},{"id":274167,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet08.pdf"},{"id":274168,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet07.pdf"},{"id":274170,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet09.pdf"},{"id":274171,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet10.pdf"},{"id":274172,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet11.pdf"},{"id":274173,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet12.pdf"},{"id":274174,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet13.pdf"},{"id":274175,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet15.pdf"},{"id":274176,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet14.pdf"},{"id":274177,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet16.pdf"},{"id":274178,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Tables/"},{"id":274179,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Appendixes/"},{"id":274180,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Metadata/"},{"id":274181,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Metadata/README.TXT"}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1927","country":"United States","state":"Texas","city":"Galveston, Houston","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.0782,29.1294 ], [ -96.0782,30.7218 ], [ -94.4948,30.7218 ], [ -94.4948,29.1294 ], [ -96.0782,29.1294 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51caadd5e4b0d298e5434c19","contributors":{"authors":[{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":480019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046672,"text":"ofr20131123 - 2013 - Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","interactions":[],"lastModifiedDate":"2013-06-24T08:57:51","indexId":"ofr20131123","displayToPublicDate":"2013-06-24T00:00:00","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":"2013-1123","title":"Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","docAbstract":"Cheney Reservoir, located in south-central Kansas, is one of the primary water supplies for the city of Wichita, Kansas. The U.S. Geological Survey has operated a continuous real-time water-quality monitoring station in Cheney Reservoir since 2001; continuously measured physicochemical properties include specific conductance, pH, water temperature, dissolved oxygen, turbidity, fluorescence (wavelength range 650 to 700 nanometers; estimate of total chlorophyll), and reservoir elevation. Discrete water-quality samples were collected during 2001 through 2009 and analyzed for sediment, nutrients, taste-and-odor compounds, cyanotoxins, phytoplankton community composition, actinomycetes bacteria, and other water-quality measures. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physicochemical properties to compute concentrations of constituents that are not easily measured in real time. The water-quality information in this report is important to the city of Wichita because it allows quantification and characterization of potential constituents of concern in Cheney Reservoir.\n\nThis report updates linear regression models published in 2006 that were based on data collected during 2001 through 2003. The update uses discrete and continuous data collected during May 2001 through December 2009. Updated models to compute dissolved solids, sodium, chloride, and suspended solids were similar to previously published models. However, several other updated models changed substantially from previously published models. In addition to updating relations that were previously developed, models also were developed for four new constituents, including magnesium, dissolved phosphorus, actinomycetes bacteria, and the cyanotoxin microcystin. In addition, a conversion factor of 0.74 was established to convert the Yellow Springs Instruments (YSI) model 6026 turbidity sensor measurements to the newer YSI model 6136 sensor at the Cheney Reservoir site.\n\nBecause a high percentage of geosmin and microcystin data were below analytical detection thresholds (censored data), multiple logistic regression was used to develop models that best explained the probability of geosmin and microcystin concentrations exceeding relevant thresholds. The geosmin and microcystin models are particularly important because geosmin is a taste-and-odor compound and microcystin is a cyanotoxin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131123","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Stone, M.L., Graham, J.L., and Gatotho, J.W., 2013, Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009: U.S. Geological Survey Open-File Report 2013-1123, x, 100 p., https://doi.org/10.3133/ofr20131123.","productDescription":"x, 100 p.","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2001-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":274082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131123.gif"},{"id":274080,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1123/"},{"id":274081,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1123/ofr2013-1123.pdf"}],"country":"United States","state":"Kansas","city":"Cheney","otherGeospatial":"Cheney Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.904354,37.717691 ], [ -97.904354,37.824492 ], [ -97.774518,37.824492 ], [ -97.774518,37.717691 ], [ -97.904354,37.717691 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c5be4b0a50a6e8f57bc","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":479980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gatotho, Jackline W.","contributorId":76616,"corporation":false,"usgs":true,"family":"Gatotho","given":"Jackline","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":479981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046682,"text":"ofr20121189 - 2013 - Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update","interactions":[],"lastModifiedDate":"2013-06-24T14:20:41","indexId":"ofr20121189","displayToPublicDate":"2013-06-24T00:00:00","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":"2012-1189","title":"Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update","docAbstract":"Information on rates and trends of shoreline change can be used to improve the understanding of the underlying causes and potential effects of coastal erosion on coastal populations and infrastructure and can support informed coastal management decisions. In this report, we summarize the changes in the historical positions of the shoreline of the Massachusetts coast for the 165 years from 1844 through 2009. The study area includes the Massachusetts coastal region from Salisbury to Westport, including Cape Cod, as well as Martha’s Vineyard, Nantucket, and the Elizabeth Islands. New statewide shoreline data were developed for approximately 1,804 kilometers (1,121 miles) of shoreline using color aerial orthoimagery from 2008 and 2009 and topographic lidar from 2007.\n\nThe shoreline data were integrated with existing historical shoreline data from the U.S. Geological Survey (USGS) and Massachusetts Office of Coastal Zone Management (CZM) to compute long- (about 150 years) and short-term (about 30 years) rates of shoreline change. A linear regression method was used to calculate long- and short-term rates of shoreline change at 26,510 transects along the Massachusetts coast. In locations where shoreline data were insufficient to use the linear regression method, short-term rates were calculated using an end-point method.\n\nLong-term rates of shoreline change are calculated with (LTw) and without (LTwo) shorelines from the 1970s and 1994 to examine the effect of removing these data on measured rates of change. Regionally averaged rates are used to assess the general characteristics of the two-rate computations, and we find that (1) the rates of change for both LTw and LTwo are essentially the same; (2) including more data slightly reduces the uncertainty of the rate, which is expected as the number of shorelines increases; and (3) the data for the shorelines from the 1970s and 1994 are not outliers with respect to the long-term trend. These findings are true for regional averages, but may not hold at specific transects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121189","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Thieler, E.R., Smith, T.L., Knisel, J.M., and Sampson, D.W., 2013, Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update: U.S. Geological Survey Open-File Report 2012-1189, vi, 42 p., https://doi.org/10.3133/ofr20121189.","productDescription":"vi, 42 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121189.gif"},{"id":274123,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1189/"},{"id":274124,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1189/pdf/ofr2012-1189_report_508.pdf"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5081,41.2384 ], [ -73.5081,42.8868 ], [ -69.9278,42.8868 ], [ -69.9278,41.2384 ], [ -73.5081,41.2384 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c5be4b0a50a6e8f57b8","contributors":{"authors":[{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Theresa L.","contributorId":80163,"corporation":false,"usgs":true,"family":"Smith","given":"Theresa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knisel, Julia M.","contributorId":20630,"corporation":false,"usgs":true,"family":"Knisel","given":"Julia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sampson, Daniel W.","contributorId":24259,"corporation":false,"usgs":true,"family":"Sampson","given":"Daniel","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046684,"text":"sir20135098 - 2013 - Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009","interactions":[],"lastModifiedDate":"2013-06-24T15:51:50","indexId":"sir20135098","displayToPublicDate":"2013-06-24T00:00:00","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":"2013-5098","title":"Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009","docAbstract":"As part of an environmental investigation at Fort Wingate Depot Activity, New Mexico, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, interpreted aqueous geochemical concentrations to better understand the groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer underlying the study area. The fine-grained nature of the alluvial matrix creates a highly heterogeneous environment, which adds to the difficulty of characterizing the flow of groundwater and the fate of aqueous constituents of concern. The analysis of the groundwater geochemical data collected in October 2009 provides evidence that is used to identify four groundwater flow paths and their extent in the aquifer and indicates the dominant attenuation processes for the constituents of concern.\n\nThe extent and interaction of groundwater flow paths were delineated by the major ion concentrations and their relations to each other. Four areas of groundwater recharge to the study area were identified based on groundwater elevations, hydrogeologic characteristics, and geochemical and isotopic evidence. One source of recharge enters the study area from the saturated alluvial deposits underlying the South Fork of the Puerco River to the north of the study area. A second source of recharge is shown to originate from a leaky cistern containing production water from the San Andres-Glorieta aquifer. The other two sources of recharge are shown to enter the study area from the south: one from an arroyo valley draining an area to the south and one from hill-front recharge that passes under the reported release of perchlorate and explosive constituents. The spatial extent and interaction of groundwater originating from these various sources along identified flow paths affect the persistence and attenuation of constituents of concern.\n\nIt was determined that groundwater originating in the area of a former explosives’ wash-out operation and an accidental spill of perchlorate was spatially limited, and that dilution is the primary attenuation process for these constituents. The explosive concentrations of the nitramine 1,3,5-trinitroperhydro-1,3,5-triazine (RDX) and the oxidizer perchlorate both support that determination. Unlike RDX and perchlorate, there were no detectable concentrations of trinitrotoluene (TNT) in the aquifer. Based on the chemical nature of TNT and the redox conditions found in the aquifer, it is interpreted that TNT is lost to irreversible sorption and aerobic degradation. Nitrate was ubiquitous in the alluvial groundwater in October 2009. The nitrate concentrations in wells associated with the explosives’ groundwater flow path indicate attenuation primarily through dilution, similar to that of RDX. The origin of nitrate concentrations in the wells located in the Administration Area is uncertain but may have resulted from the leakage of aging clay sewage pipes that service most of the structures within that area or as a relic of a former hydrologic regime in which water from the washout operation migrated across a broader area. Sufficient data do not exist to definitively identify the location(s) of water discharge in this area, but transpiration from near the Administration Area is supported by the geochemical concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135098","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Robertson, A.J., Henry, D.W., and Langman, J.B., 2013, Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009: U.S. Geological Survey Scientific Investigations Report 2013-5098, vii, 89 p., https://doi.org/10.3133/sir20135098.","productDescription":"vii, 89 p.","numberOfPages":"100","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":274129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135098.gif"},{"id":274128,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5098/sir2013-5098.pdf"},{"id":274127,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5098/"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fort Wingate Depot Activity","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.833333,35.166667 ], [ -108.833333,35.666667 ], [ -108.166667,35.666667 ], [ -108.166667,35.166667 ], [ -108.833333,35.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c59e4b0a50a6e8f57a4","contributors":{"authors":[{"text":"Robertson, Andrew J. 0000-0003-2130-0347 ajrobert@usgs.gov","orcid":"https://orcid.org/0000-0003-2130-0347","contributorId":4129,"corporation":false,"usgs":true,"family":"Robertson","given":"Andrew","email":"ajrobert@usgs.gov","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, David W.","contributorId":7593,"corporation":false,"usgs":true,"family":"Henry","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langman, Jeffery B.","contributorId":8359,"corporation":false,"usgs":true,"family":"Langman","given":"Jeffery","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":480006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040016,"text":"70040016 - 2013 - Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+","interactions":[],"lastModifiedDate":"2020-09-11T17:36:23.36493","indexId":"70040016","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2030,"text":"International Journal of Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+","docAbstract":"<p><span>The key to reducing ecological and economic damage caused by invasive plant species is to locate and eradicate new invasions before they threaten native biodiversity and ecological processes. We used Landsat Enhanced Thematic Mapper Plus imagery to estimate suitable environments for four invasive plants in Big Bend National Park, southwest Texas, using a presence-only modeling approach. Giant reed (</span><i>Arundo donax</i><span>), Lehmann lovegrass (</span><i>Eragrostis lehmanniana</i><span>), horehound (</span><i>Marrubium vulgare</i><span>) and buffelgrass (</span><i>Pennisteum ciliare</i><span>) were selected for remote sensing spatial analyses. Multiple dates/seasons of imagery were used to account for habitat conditions within the study area and to capture phenological differences among targeted species and the surrounding landscape. Individual species models had high (0.91 to 0.99) discriminative ability to differentiate invasive plant suitable environments from random background locations. Average test area under the receiver operating characteristic curve (AUC) ranged from 0.91 to 0.99, indicating that plant predictive models exhibited high discriminative ability to differentiate suitable environments for invasive plant species from random locations. Omission rates ranged from &lt;1.0 to 18%. We demonstrated that useful models estimating suitable environments for invasive plants may be created with &lt;50 occurrence locations and that reliable modeling using presence-only datasets can be powerful tools for land managers.</span></p>","language":"English","publisher":"Academic Journals","doi":"10.5897/IJBC12.057","usgsCitation":"Young, K.E., Abbott, L.B., Caldwell, C.A., and Schrader, T.S., 2013, Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+: International Journal of Biodiversity and Conservation, v. 5, no. 3, p. 122-134, https://doi.org/10.5897/IJBC12.057.","productDescription":"13 p.","startPage":"122","endPage":"134","ipdsId":"IP-041046","costCenters":[{"id":471,"text":"New Mexico Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378343,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://academicjournals.org/journal/IJBC/article-stat/73700A410650"}],"country":"United States","state":"Texas","otherGeospatial":"Big Bend National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.556884765625,\n              28.98892237190413\n            ],\n            [\n              -102.7001953125,\n              28.98892237190413\n            ],\n            [\n              -102.7001953125,\n              29.935895213372444\n            ],\n            [\n              -104.556884765625,\n              29.935895213372444\n            ],\n            [\n              -104.556884765625,\n              28.98892237190413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c567d3e4b0c89b8f120dff","contributors":{"authors":[{"text":"Young, Kendal E.","contributorId":76212,"corporation":false,"usgs":true,"family":"Young","given":"Kendal","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, Laurie B.","contributorId":57352,"corporation":false,"usgs":true,"family":"Abbott","given":"Laurie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":467483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":467481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schrader, T. Scott","contributorId":43260,"corporation":false,"usgs":true,"family":"Schrader","given":"T.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":467482,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044368,"text":"70044368 - 2013 - Finite-fault source inversion using teleseismic <i>P</i> waves: Simple parameterization and rapid analysis","interactions":[],"lastModifiedDate":"2016-01-29T11:27:29","indexId":"70044368","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Finite-fault source inversion using teleseismic <i>P</i> waves: Simple parameterization and rapid analysis","docAbstract":"<p>We examine the ability of teleseismic <i>P</i> waves to provide a timely image of the rupture history for large earthquakes using a simple, 2D finite‐fault source parameterization. We analyze the broadband displacement waveforms recorded for the 2010 <i>M</i><sub>w</sub>&sim;7 Darfield (New Zealand) and El Mayor‐Cucapah (Baja California) earthquakes using a single planar fault with a fixed rake. Both of these earthquakes were observed to have complicated fault geometries following detailed source studies conducted by other investigators using various data types. Our kinematic, finite‐fault analysis of the events yields rupture models that similarly identify the principal areas of large coseismic slip along the fault. The results also indicate that the amount of stabilization required to spatially smooth the slip across the fault and minimize the seismic moment is related to the amplitudes of the observed <i>P</i> waveforms and can be estimated from the absolute values of the elements of the coefficient matrix. This empirical relationship persists for earthquakes of different magnitudes and is consistent with the stabilization constraint obtained from the L‐curve in Tikhonov regularization. We use the relation to estimate the smoothing parameters for the 2011 <i>M</i><sub>w</sub> 7.1 East Turkey, 2012 <i>M</i><sub>w</sub> 8.6 Northern Sumatra, and 2011 <i>M</i><sub>w</sub> 9.0 Tohoku, Japan, earthquakes and invert the teleseismic <i>P</i> waves in a single step to recover timely, preliminary slip models that identify the principal source features observed in finite‐fault solutions obtained by the U.S. Geological Survey National Earthquake Information Center (USGS/NEIC) from the analysis of body‐ and surface‐wave data. These results indicate that smoothing constraints can be estimated <i>a priori</i> to derive a preliminary, first‐order image of the coseismic slip using teleseismic records.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120120069","usgsCitation":"Mendoza, C., and Hartzell, S., 2013, Finite-fault source inversion using teleseismic <i>P</i> waves: Simple parameterization and rapid analysis: Bulletin of the Seismological Society of America, v. 103, no. 2A, p. 834-844, https://doi.org/10.1785/0120120069.","productDescription":"11 p.","startPage":"834","endPage":"844","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038615","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274075,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, New Zealand","otherGeospatial":"Darfield, El Mayor-Cucapah","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-97.14001,25.87],[-97.52807,24.99214],[-97.70295,24.27234],[-97.77604,22.93258],[-97.87237,22.44421],[-97.69904,21.89869],[-97.38896,21.41102],[-97.18933,20.63543],[-96.52558,19.89093],[-96.29213,19.32037],[-95.90088,18.82802],[-94.83906,18.56272],[-94.42573,18.14437],[-93.54865,18.42384],[-92.78611,18.52484],[-92.03735,18.70457],[-91.4079,18.87608],[-90.77187,19.28412],[-90.53359,19.86742],[-90.45148,20.70752],[-90.27862,20.99986],[-89.60132,21.26173],[-88.54387,21.49368],[-87.65842,21.45885],[-87.05189,21.54354],[-86.81198,21.33151],[-86.84591,20.84986],[-87.38329,20.2554],[-87.62105,19.64655],[-87.43675,19.4724],[-87.58656,19.04013],[-87.83719,18.25982],[-88.09066,18.51665],[-88.30003,18.49998],[-88.49012,18.48683],[-88.84834,17.8832],[-89.02986,18.00151],[-89.15091,17.95547],[-89.14308,17.80832],[-90.06793,17.81933],[-91.00152,17.81759],[-91.00227,17.25466],[-91.45392,17.25218],[-91.08167,16.91848],[-90.71182,16.68748],[-90.60085,16.47078],[-90.43887,16.41011],[-90.46447,16.06956],[-91.74796,16.06656],[-92.22925,15.25145],[-92.08722,15.06458],[-92.20323,14.8301],[-92.22775,14.53883],[-93.35946,15.61543],[-93.87517,15.94016],[-94.69166,16.20098],[-95.25023,16.12832],[-96.05338,15.75209],[-96.55743,15.65352],[-97.26359,15.91706],[-98.01303,16.10731],[-98.94768,16.56604],[-99.6974,16.70616],[-100.8295,17.17107],[-101.66609,17.64903],[-101.91853,17.91609],[-102.47813,17.97575],[-103.50099,18.29229],[-103.91753,18.74857],[-104.99201,19.31613],[-105.49304,19.94677],[-105.7314,20.4341],[-105.39777,20.53172],[-105.50066,20.8169],[-105.27075,21.07628],[-105.26582,21.4221],[-105.60316,21.87115],[-105.69341,22.26908],[-106.02872,22.77375],[-106.90998,23.76777],[-107.91545,24.54892],[-108.4019,25.17231],[-109.2602,25.58061],[-109.44409,25.82488],[-109.29164,26.44293],[-109.80146,26.67618],[-110.39173,27.16211],[-110.64102,27.85988],[-111.17892,27.94124],[-111.75961,28.46795],[-112.22823,28.95441],[-112.27182,29.26684],[-112.80959,30.02111],[-113.16381,30.78688],[-113.14867,31.17097],[-113.87188,31.56761],[-114.20574,31.52405],[-114.77645,31.79953],[-114.9367,31.39348],[-114.77123,30.91362],[-114.6739,30.16268],[-114.33097,29.75043],[-113.58888,29.06161],[-113.42405,28.82617],[-113.27197,28.75478],[-113.14004,28.41129],[-112.9623,28.42519],[-112.76159,27.78022],[-112.45791,27.52581],[-112.24495,27.17173],[-111.61649,26.66282],[-111.28467,25.73259],[-110.98782,25.29461],[-110.71001,24.826],[-110.65505,24.29859],[-110.17286,24.26555],[-109.77185,23.81118],[-109.4091,23.36467],[-109.43339,23.18559],[-109.85422,22.81827],[-110.03139,22.82308],[-110.29507,23.43097],[-110.9495,24.00096],[-111.67057,24.48442],[-112.18204,24.73841],[-112.14899,25.47013],[-112.30071,26.012],[-112.7773,26.32196],[-113.46467,26.76819],[-113.59673,26.63946],[-113.84894,26.90006],[-114.46575,27.14209],[-115.05514,27.72273],[-114.98225,27.7982],[-114.57037,27.74149],[-114.19933,28.115],[-114.16202,28.56611],[-114.93184,29.27948],[-115.51865,29.55636],[-115.88737,30.18079],[-116.25835,30.83646],[-116.72153,31.63574],[-117.12776,32.53534],[-115.99135,32.61239],[-114.72139,32.72083],[-114.815,32.52528],[-113.30498,32.03914],[-111.02361,31.33472],[-109.035,31.34194],[-108.24194,31.34222],[-108.24,31.75485],[-106.50759,31.75452],[-106.1429,31.39995],[-105.63159,31.08383],[-105.03737,30.64402],[-104.70575,30.12173],[-104.45697,29.57196],[-103.94,29.27],[-103.11,28.97],[-102.48,29.76],[-101.6624,29.7793],[-100.9576,29.38071],[-100.45584,28.69612],[-100.11,28.11],[-99.52,27.54],[-99.3,26.84],[-99.02,26.37],[-98.24,26.06],[-97.53,25.84],[-97.14001,25.87]]],[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71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C.","contributorId":82059,"corporation":false,"usgs":true,"family":"Mendoza","given":"C.","email":"","affiliations":[],"preferred":false,"id":475383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, S.","contributorId":12603,"corporation":false,"usgs":true,"family":"Hartzell","given":"S.","email":"","affiliations":[],"preferred":false,"id":475382,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046667,"text":"ofr20131050 - 2013 - Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","interactions":[],"lastModifiedDate":"2013-06-20T08:43:21","indexId":"ofr20131050","displayToPublicDate":"2013-06-20T00:00:00","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":"2013-1050","title":"Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","docAbstract":"The levee system of the lower American River in Sacramento, California, is situated above a mixed lithology of alluvial deposits that range from clay to gravel. In addition, sand deposits related to hydraulic mining activities underlie the floodplain and are preferentially prone to scour during high-flow events. In contrast, sections of the American River channel have been observed to be scour resistant. In this study, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, explores the resistivity structure of the American River channel to characterize the extent and thickness of lithologic units that may impact the scour potential of the area. Likely lithologic structures are interpreted, but these interpretations are non-unique and cannot be directly related to scour potential. Additional geotechnical data would provide insightful data on the scour potential of certain lithologic units. Additional interpretation of the resistivity data with respect to these results may improve interpretations of lithology and scour potential throughout the American River channel and floodplain.\n\nResistivity data were collected in three profiles along the American River using a water-borne continuous resistivity profiling technique. After processing and modeling these data, inverted resistivity profiles were used to make interpretations about the extent and thickness of possible lithologic units. In general, an intermittent high-resistivity layer likely indicative of sand or gravel deposits extends to a depth of around 30 feet (9 meters) and is underlain by a consistent low-resistivity layer that likely indicates a high-clay content unit that extends below the depth of investigation (60 feet or 18 meters). Immediately upstream of the Watt Avenue Bridge, the high-resistivity layer is absent, and the low-resistivity layer extends to the surface where a scour-resistant layer has been previously observed in the river bed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131050","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Sacramento District","usgsCitation":"Ball, L.B., and Teeple, A., 2013, Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008: U.S. Geological Survey Open-File Report 2013-1050, iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches, https://doi.org/10.3133/ofr20131050.","productDescription":"iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-06-01","temporalEnd":"2008-07-01","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131050.gif"},{"id":274006,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1050/"},{"id":274007,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1050/OF13-1050.pdf"},{"id":274008,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate1.pdf"},{"id":274009,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate2.pdf"},{"id":274010,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate3.pdf"},{"id":274011,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate4.pdf"},{"id":274012,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate5.pdf"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.433333,38.55 ], [ -121.433333,38.591667 ], [ -121.333333,38.591667 ], [ -121.333333,38.55 ], [ -121.433333,38.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42210e4b03c77dce65a03","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":479958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046670,"text":"sir20125280 - 2013 - Streamflow and water-quality conditions including geologic sources and processes affecting selenium loading in the Toll Gate Creek watershed, Aurora, Arapahoe County, Colorado, 2007","interactions":[],"lastModifiedDate":"2017-01-25T10:39:11","indexId":"sir20125280","displayToPublicDate":"2013-06-20T00:00:00","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":"2012-5280","title":"Streamflow and water-quality conditions including geologic sources and processes affecting selenium loading in the Toll Gate Creek watershed, Aurora, Arapahoe County, Colorado, 2007","docAbstract":"<p>Toll Gate Creek is a perennial stream draining a suburban area in Aurora, Colorado, where selenium concentrations have consistently exceeded the State of Colorado aquatic-life standard for selenium of 4.6 micrograms per liter since the early 2000s. In cooperation with the City of Aurora, Colorado, Utilities Department, a synoptic water-quality study was performed along an 18-kilometer reach of Toll Gate Creek extending from downstream from Quincy Reservoir to the confluence with Sand Creek to develop a detailed understanding of streamflow and concentrations and loads of selenium in Toll Gate Creek. Streamflow and surface-water quality were characterized for summer low-flow conditions (July–August 2007) using four spatially overlapping synoptic-sampling subreaches. Mass-balance methods were applied to the synoptic-sampling and tracer-injection results to estimate streamflow and develop spatial profiles of concentration and load for selenium and other chemical constituents in Toll Gate Creek surface water. Concurrent groundwater sampling determined concentrations of selenium and other chemical constituents in groundwater in areas surrounding the Toll Gate Creek study reaches. Multivariate principal-component analysis was used to group samples and to suggest common sources for dissolved selenium and major ions. Hydrogen and oxygen stable-isotope ratios, groundwater-age interpretations, and chemical analysis of water-soluble paste extractions from core samples are presented, and interpretation of the hydrologic and geochemical data support conclusions regarding geologic sources of selenium and the processes affecting selenium loading in the Toll Gate Creek watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125280","collaboration":"Prepared in cooperation with the City of Aurora, Colorado, Utilities Department","usgsCitation":"Paschke, S.S., Runkel, R.L., Walton-Day, K., Kimball, B.A., and Schaffrath, K.R., 2013, Streamflow and water-quality conditions including geologic sources and processes affecting selenium loading in the Toll Gate Creek watershed, Aurora, Arapahoe County, Colorado, 2007: U.S. Geological Survey Scientific Investigations Report 2012-5280, ix, 108 p., https://doi.org/10.3133/sir20125280.","productDescription":"ix, 108 p.","numberOfPages":"121","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-07-01","temporalEnd":"2007-08-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":274045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125280.gif"},{"id":274043,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5280/"},{"id":274044,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5280/SIR12-5280_508.pdf"}],"country":"United States","state":"Colorado","county":"Arapahoe County","city":"Aurora","otherGeospatial":"Toll Gate Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.8848,39.551 ], [ -104.8848,39.8267 ], [ -104.4889,39.8267 ], [ -104.4889,39.551 ], [ -104.8848,39.551 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42213e4b03c77dce65a2b","contributors":{"authors":[{"text":"Paschke, Suzanne S.","contributorId":14072,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":68339,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[],"preferred":false,"id":479973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479971,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046548,"text":"70046548 - 2013 - Exploration Review","interactions":[],"lastModifiedDate":"2013-06-20T11:22:48","indexId":"70046548","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Exploration Review","docAbstract":"This summary of international mineral exploration activities for 2012 draws upon information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities performed by the mineral industry.\n\nThree sources of information are reported and analyzed in this annual review of international exploration for 2012: 1) budgetary statistics expressed in U.S. nominal dollars provided by SNL Metals Economics Group (MEG) of Halifax, Nova Scotia; 2) regional and site-specific exploration activities that took place in 2012 as compiled by the USGS and 3) regional events including economic, social and political conditions that affected exploration activities, which were derived from published sources and unpublished discussions with USGS and industry specialists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., and Stanley, K., 2013, Exploration Review: Mining Engineering, v. 65, no. 5, p. 32-52.","productDescription":"21 p.","startPage":"32","endPage":"52","ipdsId":"IP-044904","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274027,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=3424&page=32"}],"volume":"65","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42212e4b03c77dce65a17","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":479790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, K.A.","contributorId":27342,"corporation":false,"usgs":true,"family":"Stanley","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":479789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046666,"text":"sir20135114 - 2013 - A model for evaluating effects of climate, water availability, and water management on wetland impoundments--a case study on Bowdoin, Long Lake, and Sand Lake National Wildlife Refuges","interactions":[],"lastModifiedDate":"2013-06-19T09:25:29","indexId":"sir20135114","displayToPublicDate":"2013-06-19T00:00:00","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":"2013-5114","title":"A model for evaluating effects of climate, water availability, and water management on wetland impoundments--a case study on Bowdoin, Long Lake, and Sand Lake National Wildlife Refuges","docAbstract":"Many wetland impoundments managed by the U.S. Fish and Wildlife Service (USFWS) National Wildlife Refuge System throughout the northern Great Plains rely on rivers as a primary water source. A large number of these impoundments currently are being stressed from changes in water supplies and quality, and these problems are forecast to worsen because of projected changes to climate and land use. For example, many managed wetlands in arid regions have become degraded owing to the long-term accumulation of salts and increased salinity associated with evapotranspiration. A primary goal of the USFWS is to provide aquatic habitats for a diversity of waterbirds; thus, wetland managers would benefit from a tool that facilitates evaluation of wetland habitat quality in response to current and anticipated impacts of altered hydrology and salt balances caused by factors such as climate change, water availability, and management actions.\n\nA spreadsheet model that simulates the overall water and salinity balance (WSB model) of managed wetland impoundments is presented. The WSB model depicts various habitat metrics, such as water depth, salinity, and surface areas (inundated, dry), which can be used to evaluate alternative management actions under various water-availability and climate scenarios. The WSB model uses widely available spreadsheet software, is relatively simple to use, relies on widely available inputs, and is readily adaptable to specific locations. The WSB model was validated using data from three National Wildlife Refuges with direct and indirect connections to water resources associated with rivers, and common data limitations are highlighted. The WSB model also was used to conduct simulations based on hypothetical climate and management scenarios to demonstrate the utility of the model for evaluating alternative management strategies and climate futures. The WSB model worked well across a range of National Wildlife Refuges and could be a valuable tool for USFWS staff when evaluating system state and management alternatives and establishing long-term goals and objectives.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135114","usgsCitation":"Tangen, B., Gleason, R.A., and Stamm, J., 2013, A model for evaluating effects of climate, water availability, and water management on wetland impoundments--a case study on Bowdoin, Long Lake, and Sand Lake National Wildlife Refuges: U.S. Geological Survey Scientific Investigations Report 2013-5114, vi, 37 p.; WSB Model, https://doi.org/10.3133/sir20135114.","productDescription":"vi, 37 p.; WSB Model","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":273995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135114.jpg"},{"id":273994,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5114/WSB%20Model.xlsx"},{"id":273992,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5114/"},{"id":273993,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5114/sir2013-5114.pdf"}],"country":"United States","otherGeospatial":"Bowdoin National Wildlife Refuge;Long Lake National Wildlife Refuge;Sand Lake National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.8,45.6 ], [ -107.8,48.533333 ], [ -98.0,48.533333 ], [ -98.0,45.6 ], [ -107.8,45.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c2c4cde4b08857aac42378","contributors":{"authors":[{"text":"Tangen, Brian A.","contributorId":78419,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","affiliations":[],"preferred":false,"id":479957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":479955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046217,"text":"70046217 - 2013 - Linking phenology and biomass productivity in South Dakota mixed-grass prairie","interactions":[],"lastModifiedDate":"2013-10-23T13:39:21","indexId":"70046217","displayToPublicDate":"2013-06-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Linking phenology and biomass productivity in South Dakota mixed-grass prairie","docAbstract":"Assessing the health of rangeland ecosystems based solely on annual biomass production does not fully describe plant community condition; the phenology of production can provide inferences on species composition, successional stage, and grazing impacts. We evaluate the productivity and phenology of western South Dakota mixed-grass prairie using 2000 to 2008 Moderate Resolution Imaging Spectrometer (MODIS) normalized difference vegetation index (NDVI) satellite imagery at 250 m spatial resolution. Growing season NDVI images were integrated weekly to produce time-integrated NDVI (TIN), a proxy of total annual biomass production, and integrated seasonally to represent annual production by cool (C3) and warm (C4) season species. Additionally, a variety of phenological indicators including cool season percentage of TIN were derived from the seasonal profiles of NDVI. Cool season percentage and TIN were combined to generate vegetation classes, which served as proxies of plant community condition. TIN decreased with precipitation from east to west across the study area. Alternatively, cool season percentage increased from east to west, following patterns related to the reliability (interannual coefficient of variation [CV]) and quantity of mid-summer precipitation. Cool season TIN averaged 76.8% of total. Seasonal accumulation of TIN corresponded closely (R2 > 0.90) to that of gross photosynthesis data from a carbon flux tower. Field-collected biomass and community composition data were strongly related to the TIN and cool season percentage products. The patterns of vegetation classes were responsive to topographic, edaphic, and land management influences on plant communities. Accurate maps of biomass production, cool/warm season composition, and vegetation classes can improve the efficiency of land management by adjusting stocking rates and season of use to maximize rangeland productivity and achieve conservation objectives. Further, our results clarify the spatial and temporal dynamics of phenology and TIN in mixed-grass prairie.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rangeland Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Range Management","doi":"10.2111/REM-D-12-00083.1","usgsCitation":"Rigge, M., Smart, A., Wylie, B., Gilmanov, T., and Johnson, P., 2013, Linking phenology and biomass productivity in South Dakota mixed-grass prairie: Rangeland Ecology and Management, v. 66, no. 5, p. 579-587, https://doi.org/10.2111/REM-D-12-00083.1.","productDescription":"8 p.","startPage":"579","endPage":"587","numberOfPages":"8","ipdsId":"IP-039037","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473739,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/642745","text":"External Repository"},{"id":274001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274000,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2111/REM-D-12-00083.1"}],"country":"United States","state":"South Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.06,42.48 ], [ -104.06,45.95 ], [ -96.44,45.95 ], [ -96.44,42.48 ], [ -104.06,42.48 ] ] ] } } ] }","volume":"66","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c2c4d5e4b08857aac42380","contributors":{"authors":[{"text":"Rigge, Matthew 0000-0003-4471-8009","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":19457,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":479196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smart, Alexander","contributorId":24262,"corporation":false,"usgs":true,"family":"Smart","given":"Alexander","affiliations":[],"preferred":false,"id":479197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":479198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmanov, Tagir","contributorId":6351,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","affiliations":[],"preferred":false,"id":479194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Patricia","contributorId":16303,"corporation":false,"usgs":true,"family":"Johnson","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":479195,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044048,"text":"70044048 - 2013 - Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010","interactions":[],"lastModifiedDate":"2013-06-18T15:14:03","indexId":"70044048","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010","docAbstract":"Historical movement of the Montaguto earth flow in southern Italy has periodically destroyed residences and farmland, and damaged the Italian National Road SS90 and the Benevento-Foggia National Railway. This paper provides maps from an investigation into the evolution of the Montaguto earth flow from 1954 to 2010. We used aerial photos, topographic maps, LiDAR data, satellite images, and field observations to produce multi-temporal maps. The maps show the spatial and temporal distribution of back-tilted surfaces, flank ridges, and normal, thrust, and strike-slip faults. Springs, creeks, and ponds are also shown on the maps. The maps provide a basis for interpreting how basal and lateral boundary geometries influence earth-flow behavior and surface-water hydrology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Maps","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/17445647.2013.765812","usgsCitation":"Guerriero, L., Revellino, P., Coe, J.A., Focareta, M., Grelle, G., Albanese, V., Corazza, A., and Guadagno, F.M., 2013, Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010: Journal of Maps, v. 9, no. 1, p. 135-145, https://doi.org/10.1080/17445647.2013.765812.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-040890","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473741,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17445647.2013.765812","text":"Publisher Index Page"},{"id":273951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273948,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/17445647.2013.765812"}],"country":"Italy","otherGeospatial":"Montaguto Earth Flow","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.29 ], [ 6.63,47.09 ], [ 18.78,47.09 ], [ 18.78,35.29 ], [ 6.63,35.29 ] ] ] } } ] }","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"51c1735ae4b0dd0e00d9219f","contributors":{"authors":[{"text":"Guerriero, Luigi","contributorId":105205,"corporation":false,"usgs":true,"family":"Guerriero","given":"Luigi","email":"","affiliations":[],"preferred":false,"id":474702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revellino, Paola","contributorId":62509,"corporation":false,"usgs":true,"family":"Revellino","given":"Paola","email":"","affiliations":[],"preferred":false,"id":474697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focareta, Mariano","contributorId":26607,"corporation":false,"usgs":true,"family":"Focareta","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":474696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grelle, Gerardo","contributorId":102365,"corporation":false,"usgs":true,"family":"Grelle","given":"Gerardo","email":"","affiliations":[],"preferred":false,"id":474700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Albanese, Vincenzo","contributorId":100723,"corporation":false,"usgs":true,"family":"Albanese","given":"Vincenzo","email":"","affiliations":[],"preferred":false,"id":474699,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corazza, Angelo","contributorId":92957,"corporation":false,"usgs":true,"family":"Corazza","given":"Angelo","email":"","affiliations":[],"preferred":false,"id":474698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guadagno, Francesco M.","contributorId":102366,"corporation":false,"usgs":true,"family":"Guadagno","given":"Francesco","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474701,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046220,"text":"70046220 - 2013 - Kinetics of homogeneous and surface-catalyzed mercury(II) reduction by iron(II)","interactions":[],"lastModifiedDate":"2013-07-15T09:46:19","indexId":"70046220","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of homogeneous and surface-catalyzed mercury(II) reduction by iron(II)","docAbstract":"Production of elemental mercury, Hg(0), via Hg(II) reduction is an important pathway that should be considered when studying Hg fate in environment. We conducted a kinetic study of abiotic homogeneous and surface-catalyzed Hg(0) production by Fe(II) under dark anoxic conditions. Hg(0) production rate, from initial 50 pM Hg(II) concentration, increased with increasing pH (5.5–8.1) and aqueous Fe(II) concentration (0.1–1 mM). The homogeneous rate was best described by the expression, r<sub>hom</sub> = k<sub>hom</sub> [FeOH<sup>+</sup>] [Hg(OH)<sub>2</sub>]; k<sub>hom</sub> = 7.19 × 10<sup>+3</sup> L (mol min)<sup>−1</sup>. Compared to the homogeneous case, goethite (α-FeOOH) and hematite (α-Fe<sub>2</sub>O<sub>3</sub>) increased and γ-alumina (γ-Al<sub>2</sub>O<sub>3</sub>) decreased the Hg(0) production rate. Heterogeneous Hg(0) production rates were well described by a model incorporating equilibrium Fe(II) adsorption, rate-limited Hg(II) reduction by dissolved and adsorbed Fe(II), and rate-limited Hg(II) adsorption. Equilibrium Fe(II) adsorption was described using a surface complexation model calibrated with previously published experimental data. The Hg(0) production rate was well described by the expression r<sub>het</sub> = k<sub>het</sub> [>SOFe<sup>(II)</sup>] [Hg(OH)<sub>2</sub>], where >SOFe<sup>(II)</sup> is the total adsorbed Fe(II) concentration; k<sub>het</sub> values were 5.36 × 10<sup>+3</sup>, 4.69 × 10<sup>+3</sup>, and 1.08 × 10<sup>+2</sup> L (mol min)<sup>−1</sup> for hematite, goethite, and γ-alumina, respectively. Hg(0) production coupled to reduction by Fe(II) may be an important process to consider in ecosystem Hg studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","doi":"10.1021/es401459p","usgsCitation":"Amirbahman, A., Kent, D.B., Curtis, G.P., and Marvin-DiPasquale, M.C., 2013, Kinetics of homogeneous and surface-catalyzed mercury(II) reduction by iron(II): Environmental Science & Technology, v. 47, no. 13, p. 7204-7213, https://doi.org/10.1021/es401459p.","productDescription":"10 p.","startPage":"7204","endPage":"7213","ipdsId":"IP-046069","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":273958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273954,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es401459p"}],"volume":"47","issue":"13","noUsgsAuthors":false,"publicationDate":"2013-06-17","publicationStatus":"PW","scienceBaseUri":"51c17359e4b0dd0e00d9218f","contributors":{"authors":[{"text":"Amirbahman, Aria","contributorId":44031,"corporation":false,"usgs":true,"family":"Amirbahman","given":"Aria","email":"","affiliations":[],"preferred":false,"id":479208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479205,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046655,"text":"ds746 - 2013 - Historical rock falls in Yosemite National Park, California (1857-2011)","interactions":[],"lastModifiedDate":"2023-06-05T15:11:43.627772","indexId":"ds746","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"746","title":"Historical rock falls in Yosemite National Park, California (1857-2011)","docAbstract":"<p>Inventories of rock falls and other types of landslides are valuable tools for improving understanding of these events. For example, detailed information on rock falls is critical for identifying mechanisms that trigger rock falls, for quantifying the susceptibility of different cliffs to rock falls, and for developing magnitude-frequency relations. Further, inventories can assist in quantifying the relative hazard and risk posed by these events over both short and long time scales.</p>\n<br/>\n<p>This report describes and presents the accompanying rock fall inventory database for Yosemite National Park, California. The inventory database documents 925 events spanning the period 1857–2011. Rock falls, rock slides, and other forms of slope movement represent a serious natural hazard in Yosemite National Park. Rock-fall hazard and risk are particularly relevant in Yosemite Valley, where glacially steepened granitic cliffs approach 1 km in height and where the majority of the approximately 4 million yearly visitors to the park congregate. In addition to damaging roads, trails, and other facilities, rock falls and other slope movement events have killed 15 people and injured at least 85 people in the park since the first documented rock fall in 1857.</p>\n<br/>\n<p>The accompanying report describes each of the organizational categories in the database, including event location, type of slope movement, date, volume, relative size, probable trigger, impact to humans, narrative description, references, and environmental conditions. The inventory database itself is contained in a Microsoft Excel spreadsheet (Yosemite_rock_fall_database_1857-2011.xlsx). Narrative descriptions of events are contained in the database, but are also provided in a more readable Adobe portable document format (pdf) file (Yosemite_rock_fall_database_narratives_1857-2011.pdf) available for download separate from the database.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds746","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Stock, G.M., Collins, B., Santaniello, D.J., Zimmer, V.L., Wieczorek, G.F., and Snyder, J.B., 2013, Historical rock falls in Yosemite National Park, California (1857-2011): U.S. Geological Survey Data Series 746, Report: iv, 17 p.; Database, https://doi.org/10.3133/ds746.","productDescription":"Report: iv, 17 p.; Database","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":273931,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds746.gif"},{"id":273927,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/746/","linkFileType":{"id":5,"text":"html"}},{"id":273929,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/746/Yosemite_rock_fall_database_1857-2011.xlsx"},{"id":273930,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/746/Yosemite_rock_fall_database_narratives_1857-2011.pdf"},{"id":273928,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/746/ds746_text.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.8863,37.4948 ], [ -119.8863,38.1863 ], [ -119.1995,38.1863 ], [ -119.1995,37.4948 ], [ -119.8863,37.4948 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17357e4b0dd0e00d92187","contributors":{"authors":[{"text":"Stock, Greg M.","contributorId":88593,"corporation":false,"usgs":true,"family":"Stock","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Brian D.","contributorId":71641,"corporation":false,"usgs":true,"family":"Collins","given":"Brian D.","affiliations":[],"preferred":false,"id":479936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santaniello, David J.","contributorId":85070,"corporation":false,"usgs":true,"family":"Santaniello","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmer, Valerie L.","contributorId":22661,"corporation":false,"usgs":true,"family":"Zimmer","given":"Valerie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wieczorek, Gerald F.","contributorId":81889,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Gerald","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":479937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snyder, James B.","contributorId":102137,"corporation":false,"usgs":true,"family":"Snyder","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":479940,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046641,"text":"sir20135106 - 2013 - Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability","interactions":[],"lastModifiedDate":"2016-07-20T12:37:04","indexId":"sir20135106","displayToPublicDate":"2013-06-18T00:00:00","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":"2013-5106","title":"Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability","docAbstract":"<p>If the invasive Asian carps (bighead carp&nbsp;<i>Hypophthalmichthys nobilis</i>&nbsp;and silver carp&nbsp;<i>Hypophthalmichthys molitrix</i>) migrate to the Great Lakes, in spite of the efforts to stop their advancement, these species will require the fast-flowing water of the Great Lakes tributaries for spawning and recruitment in order to establish a growing population. Two Lake Michigan tributaries (the Milwaukee and St. Joseph Rivers) and two Lake Erie tributaries (the Maumee and Sandusky Rivers) were investigated to determine if these tributaries possess the hydraulic and water-quality characteristics to allow successful spawning of Asian carps. To examine this issue, standard U.S.&nbsp;Geological Survey sampling protocols and instrumentation for discharge and water-quality measurements were used, together with differential global positioning system data for georeferencing. Non-standard data-processing techniques, combined with detailed laboratory analysis of Asian carp egg characteristics, allowed an assessment of the transport capabilities of each of these four tributaries. This assessment is based solely on analysis of observed data and did not utilize the collected data for detailed transport modeling.</p>\n<p>All four tributaries exhibited potential settling zones for Asian carp eggs both within the estuaries and river mouths and within the lower 100 kilometers (km) of the river. Dams played a leading role in defining these settling zones, with the exception of dams on the Sandusky River. The impoundments created by many of the larger dams on these rivers acted to sufficiently decelerate the flows and allowed the shear velocity to drop below the settling velocity for Asian carp eggs, which would allow the eggs to fall out of suspension and settle on the bottom where it is thought the eggs would perish. While three rivers exhibited these settling zones upstream of the larger dams, not all settling zones are likely to have such effects on egg transport. The Milwaukee River exhibited only a short settling zone upstream of the Grafton Dam, whereas the St. Joseph and Maumee Rivers both had extensive settling zones (&gt;5 km) behind major dams. These longer settling zones are likely to capture more eggs than shorter settling reaches. All four rivers exhibited settling zones at their river mouths, with the Lake Erie tributaries having much larger settling zones extending more than 10 km up the tributaries.</p>\n<p>While hydraulic data from all four rivers indicated settling of eggs is possible in some locations, all four rivers also exhibited sufficient temperatures, water-quality characteristics, turbulence, and transport times outside of settling zones for successful suspension and development of Asian carp eggs to the hatching stage before the threat of settlement. These observed data indicate that these four Great Lakes tributaries have sufficient hydraulic and water-quality characteristics to support successful spawning and recruitment of Asian carps. The data indicate that with the right temperature and flow conditions, river reaches as short as 25 km may allow Asian carp eggs sufficient time to develop to hatching. Additionally, examining the relation between critical shear velocity and mean velocity, egg settling appears to take place at mean velocities in the range of 15&ndash;25&nbsp;centimeters per second, a much lower value than is generally cited in the literature. A first-order estimate of the minimum transport velocity for Asian carp eggs in a river can be obtained by using mean flow depth and river substrate data, and curves were constructed to show this relation. These findings would expand the number of possible tributaries suitable for Asian carp spawning and contribute to the understanding of how hydraulic and water-quality information can be used to screen additional rivers in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135106","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Murphy, E., and Jackson, P., 2013, Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability: U.S. Geological Survey Scientific Investigations Report 2013-5106, vi, 30 p., https://doi.org/10.3133/sir20135106.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":273892,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5106/pdf/sir2013-5106_web.pdf","text":"Report","size":"5.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":273888,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5106/"},{"id":273900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135106.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,40.0 ], [ -90.0,43.0 ], [ -82.0,43.0 ], [ -82.0,40.0 ], [ -90.0,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17359e4b0dd0e00d9218b","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":479920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":479919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046645,"text":"ofr20131126 - 2013 - Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010","interactions":[],"lastModifiedDate":"2016-08-19T17:40:08","indexId":"ofr20131126","displayToPublicDate":"2013-06-18T00:00:00","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":"2013-1126","title":"Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Somerset County and Westmoreland County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131126","usgsCitation":"Milheim, L., Slonecker, E., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010: U.S. Geological Survey Open-File Report 2013-1126, v, 34 p., https://doi.org/10.3133/ofr20131126.","productDescription":"v, 34 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131126.gif"},{"id":273898,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1126"},{"id":273899,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1126/ofr2013-1126.pdf","text":"Report","size":"4.25 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A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":479926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046524,"text":"70046524 - 2013 - Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers","interactions":[],"lastModifiedDate":"2013-06-17T12:08:31","indexId":"70046524","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers","docAbstract":"Asian carp are migrating towards the Great Lakes and are threatening to invade this ecosystem, hence there is an immediate need to control their population. The transport of Asian carp eggs in potential spawning rivers is an important factor in its life history and recruitment success. An understanding of the transport, development, and fate of Asian carp eggs has the potential to create prevention, management, and control strategies before the eggs hatch and develop the ability to swim. However, there is not a clear understanding of the hydrodynamic conditions at which the eggs are transported and kept in suspension. This knowledge is imperative because of the current assumption that suspension is required for the eggs to survive. Herein, FluEgg (Fluvial Egg Drift Simulator), a three-dimensional Lagrangian model capable of evaluating the influence of flow velocity, shear dispersion and turbulent diffusion on the transport and dispersal patterns of Asian carp eggs is presented. The model's variables include not only biological behavior (growth rate, density changes) but also the physical characteristics of the flow field, such as mean velocities and eddy diffusivities. The performance of the FluEgg model was evaluated using observed data from published flume experiments conducted in China with water-hardened Asian carp eggs as subjects. FluEgg simulations show a good agreement with the experimental data. The model was also run with observed data from the Sandusky River in Ohio to provide a real-world demonstration case. This research will support the identification of critical hydrodynamic conditions (e.g., flow velocity, depth, and shear velocity) to maintain eggs in suspension, assist in the evaluation of suitable spawning rivers for Asian carp populations and facilitate the development of prevention, control and management strategies for Asian carp species in rivers and water bodies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2013.05.005","usgsCitation":"Garcia, T., Jackson, P., Murphy, E., Valocchi, A.J., and Garcia, M., 2013, Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers: Ecological Modelling, v. 263, p. 211-222, https://doi.org/10.1016/j.ecolmodel.2013.05.005.","productDescription":"12 p.","startPage":"211","endPage":"222","ipdsId":"IP-042130","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":438787,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93UCQR2","text":"USGS data release","linkHelpText":"FluEgg"},{"id":273818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273688,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2013.05.005"}],"volume":"263","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d5e4b0ee1529ecdec6","chorus":{"doi":"10.1016/j.ecolmodel.2013.05.005","url":"http://dx.doi.org/10.1016/j.ecolmodel.2013.05.005","publisher":"Elsevier BV","authors":"Garcia Tatiana, Jackson P. Ryan, Murphy Elizabeth A., Valocchi Albert J., Garcia Marcelo H.","journalName":"Ecological Modelling","publicationDate":"8/2013"},"contributors":{"authors":[{"text":"Garcia, Tatiana","contributorId":54870,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","affiliations":[],"preferred":false,"id":479759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":479760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":479761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valocchi, Albert J.","contributorId":25062,"corporation":false,"usgs":true,"family":"Valocchi","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":479762,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046622,"text":"sir20135112 - 2013 - An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio","interactions":[],"lastModifiedDate":"2014-01-27T11:14:22","indexId":"sir20135112","displayToPublicDate":"2013-06-17T00:00:00","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":"2013-5112","title":"An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio","docAbstract":"This report presents the results of a study to assess potential water availability from the Atwood, Leesville, and Tappan Lakes, located within the Muskingum River Watershed, Ohio. The assessment was based on the criterion that water withdrawals should not appreciably affect maintenance of recreation-season pool levels in current use. To facilitate and simplify the assessment, it was assumed that historical lake operations were successful in maintaining seasonal pool levels, and that any discharges from lakes constituted either water that was discharged to prevent exceeding seasonal pool levels or discharges intended to meet minimum in-stream flow targets downstream from the lakes. It further was assumed that the volume of water discharged in excess of the minimum in-stream flow target is available for use without negatively impacting seasonal pool levels or downstream water uses and that all or part of it is subject to withdrawal. Historical daily outflow data for the lakes were used to determine the quantity of water that potentially could be withdrawn and the resulting quantity of water that would flow downstream (referred to as “flow-by”) on a daily basis as a function of all combinations of three hypothetical target minimum flow-by amounts (1, 2, and 3 times current minimum in-stream flow targets) and three pumping capacities (1, 2, and 3 million gallons per day). Using both U.S. Geological Survey streamgage data and lake-outflow data provided by the U.S. Army Corps of Engineers resulted in analytical periods ranging from 51 calendar years for the Atwood Lake to 73 calendar years for the Leesville and Tappan Lakes. The observed outflow time series and the computed time series of daily flow-by amounts and potential withdrawals were analyzed to compute and report order statistics (95th, 75th, 50th, 25th, 10th, and 5th percentiles) and means for the analytical period, in aggregate, and broken down by calendar month. In addition, surplus-water mass curve data were tabulated for each of the lakes. Monthly order statistics of computed withdrawals indicated that, for the three pumping capacities considered, increasing the target minimum flow-by amount tended to reduce the amount of water that can be withdrawn. The reduction was greatest in the lower percentiles of withdrawal; however, increasing the flow-by amount had no impact on potential withdrawals during high flow. In addition, for a given target minimum flow-by amount, increasing the pumping rate increased the total amount of water that could be withdrawn; however, that increase was less than a direct multiple of the increase in pumping rate for most flow statistics. Potential monthly withdrawals were observed to be more variable and more limited in some calendar months than others. Monthly order statistics and means of computed daily mean flow-by amounts indicated that flow-by amounts generally tended to be lowest during June–October and February. Increasing the target minimum flow-by amount for a given pumping rate resulted in some small increases in the magnitudes of the mean and 50th percentile and lower order statistics of computed mean flow-by, but had no effect on the magnitudes of the higher percentile statistics. Increasing the pumping rate for a given target minimum flow-by amount resulted in decreases in magnitudes of higher-percentile flow-by statistics by an amount equal to the flow equivalent of the increase in pumping rate; however, some lower percentile statistics remained unchanged.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/sir20135112","issn":"2328-0328","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District","usgsCitation":"Koltun, G., 2013, An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio (Originally posted July 17, 2013; Revised January 27, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5112, Report: vi, 33 p.; Appendix 1: Excel file, https://doi.org/10.3133/sir20135112.","productDescription":"Report: vi, 33 p.; Appendix 1: Excel file","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":273807,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5112/pdf/sir2013-5112.pdf"},{"id":273809,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5112/table_1-1.xlsx"},{"id":273810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135112.jpg"},{"id":273808,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5112/"}],"country":"United States","state":"Ohio","otherGeospatial":"Atwood Lake;Leesville Lake;Muskingum River Watershed;Tappan Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.2546,39.0874 ], [ -82.2546,40.8346 ], [ -80.8649,40.8346 ], [ -80.8649,39.0874 ], [ -82.2546,39.0874 ] ] ] } } ] }","edition":"Originally posted July 17, 2013; Revised January 27, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021cde4b0ee1529ecdeba","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":1852,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","email":"gfkoltun@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479878,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046538,"text":"sir20135123 - 2013 - Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire","interactions":[],"lastModifiedDate":"2013-06-14T09:26:49","indexId":"sir20135123","displayToPublicDate":"2013-06-14T00:00:00","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":"2013-5123","title":"Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire","docAbstract":"Leachate continues to be generated from landfills at the Auburn Road Landfill Superfund Site in Londonderry, New Hampshire. Impermeable caps on the three landfills at the site inhibit direct infiltration of precipitation; however, high water-table conditions allow groundwater to interact with landfill materials from below, creating leachate and ultimately reducing conditions in downgradient groundwater. Reducing conditions can facilitate arsenic transport by allowing it to stay in solution or by liberating arsenic adsorbed to surfaces and from geologic sources, such as glacial sediments and bedrock.\n\nThe site occupies a 180-acre parcel of land containing streams, ponds, wetlands, and former gravel pits located in glacial sediment. Four areas, totaling 14 acres, including three landfills and one septage lagoon, were used for waste disposal. The site was closed in 1980 after volatile organic compounds associated with industrial waste dumping were detected. The site was added to the U.S. Environmental Protection Agency National Priority List in 1982, and the landfills were capped in 1996. Although volatile organic compound concentrations in groundwater have declined substantially, some measurable concentrations remain. Temporally variable and persistent elevated arsenic concentrations have been measured in groundwater affected by the landfill leachate.\n\nMicrobial consumption of carbon found in leachate is a driver of reducing conditions that liberate arsenic at the site. In addition to sources of carbon in landfill leachate, wetland areas throughout the site also could contribute carbon to groundwater, but it is currently unknown if any of the wetland areas have downward or reversing gradients that could allow the infiltration of surface water to groundwater. Red-stained sediments and water indicate iron-rich groundwater discharge to surface water and are also associated with elevated concentrations of arsenic in sediment and groundwater. Ironrich groundwater seeps have been observed in the wetland, streams, and pond downgradient of the landfills. Piezometers were installed in some of these locations to confirm groundwater discharge, measure vertical-flow gradients, and to provide a way to sample the discharging groundwater.\n\nUnderstanding the movement of leachate in groundwater is complicated by the presence of preferential flow paths through aquifer materials with differing hydraulic properties; these preferential flow paths can affect rates of recharge, geochemical conditions, and contaminant fluxes. In areas adjacent to the three capped landfills, infiltration of precipitation containing oxygenated water through permeable deltaic sediments in the former gravel pit area causes increases in dissolved oxygen concentrations and decreases in arsenic concentrations. Layered deltaic sediments produce anisotropic hydraulic characteristics and zones of high hydraulic conductivity. The glacial-sediment aquifer also includes glaciolacustrine sediments that have low permeability and limit infiltration at the surface\n\nDischarge of leachate-affected groundwater may be limited in areas of organic muck on the bottom of Whispering Pines Pond because the muck may act as a semiconfining layer. Geophysical survey results were used to identify several areas with continuous beds of muck and an underlying highresistivity layer on top of a layer of low resistivity that may represent leachate-affected groundwater. The high-resistivity layer is likely groundwater associated with oxygenated recharge, which would cause arsenic to adsorb onto aquifer sediments and reduce concentrations of dissolved arsenic in groundwater.\n\nSurface and borehole geophysical data collected in 2011 were used to identify potentially high-permeability or contaminated zones in the aquifer (preferential flowpaths) as well as low-permeability zones that may promote contamination through back diffusion. Some groundwater in parts of the glacial-sediment aquifer where the leachate plumes were present had low electrical resistivity, low dissolved oxygen, and high concentrations of arsenic. Low-resistivity zones in the underlying bedrock were associated with fractures that also may contain leachate. Although surveying the fractured bedrock was not a specific objective of this study, the results suggest that such a survey would help to determine if leachate and associated concentrations of arsenic are migrating downward into the fractured-bedrock-aquifer system.\n\nAn uncalibrated, one-dimensional, reactive-transport model was used to assess several conditions that affect arsenic mobility. The results indicate that reductive dissolution and desorption from glacial sediments control dissolved arsenic concentrations. Parameter sensitivity analysis was used to identify key data that are needed in order to accurately assess the time required for arsenic concentrations to fall to levels below the maximum contaminant level at the site. Quantifying this time will require accurate characterization of carbon, sediment-surface sorption sites, and groundwater fluxes at the site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135123","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services and in collaboration with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., and Harte, P.T., 2013, Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire: U.S. Geological Survey Scientific Investigations Report 2013-5123, vii, 58 p., https://doi.org/10.3133/sir20135123.","productDescription":"vii, 58 p.","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135123.gif"},{"id":273705,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5123/"},{"id":273706,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5123/pdf/sir2013-5123_report_508.pdf"}],"country":"United States","state":"New Hampshire","city":"Londonderry","otherGeospatial":"Auburn Road Landfill","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.358333,42.929167 ], [ -71.358333,42.940278 ], [ -71.345833,42.940278 ], [ -71.345833,42.929167 ], [ -71.358333,42.929167 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ce4b0c04034a01c78","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479781,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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