{"pageNumber":"611","pageRowStart":"15250","pageSize":"25","recordCount":46883,"records":[{"id":70159493,"text":"70159493 - 2012 - A program for handling map projections of small-scale geospatial raster data","interactions":[],"lastModifiedDate":"2017-04-06T15:11:27","indexId":"70159493","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1188,"text":"Cartographic Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"A program for handling map projections of small-scale geospatial raster data","docAbstract":"<p><span>Scientists routinely accomplish small-scale geospatial modeling using raster datasets of global extent. Such use often requires the projection of global raster datasets onto a map or the reprojection from a given map projection associated with a dataset. The distortion characteristics of these projection transformations can have significant effects on modeling results. Distortions associated with the reprojection of global data are generally greater than distortions associated with reprojections of larger-scale, localized areas. The accuracy of areas in projected raster datasets of global extent is dependent on spatial resolution. To address these problems of projection and the associated resampling that accompanies it, methods for framing the transformation space, direct point-to-point transformations rather than gridded transformation spaces, a solution to the wrap-around problem, and an approach to alternative resampling methods are presented. The implementations of these methods are provided in an open-source software package called MapImage (or&nbsp;</span><i>mapIMG</i><span>, for short), which is designed to function on a variety of computer architectures.</span></p>","language":"English","publisher":"NACIS","doi":"10.14714/CP71.61","usgsCitation":"Finn, M.P., Steinwand, D.R., Trent, J.R., Buehler, R.A., Mattli, D.M., and Yamamoto, K.H., 2012, A program for handling map projections of small-scale geospatial raster data: Cartographic Perspectives, v. 71, p. 53-67, https://doi.org/10.14714/CP71.61.","productDescription":"15 p.","startPage":"53","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040817","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":474185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14714/cp71.61","text":"Publisher Index Page"},{"id":311162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-24","publicationStatus":"PW","scienceBaseUri":"56432339e4b0aafbcd017fc4","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":579215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steinwand, Daniel R. steinwand@usgs.gov","contributorId":3224,"corporation":false,"usgs":true,"family":"Steinwand","given":"Daniel","email":"steinwand@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":579216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trent, Jason R.","contributorId":81187,"corporation":false,"usgs":true,"family":"Trent","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":579605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buehler, Robert A.","contributorId":92369,"corporation":false,"usgs":true,"family":"Buehler","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":579606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mattli, David M. dmattli@usgs.gov","contributorId":5606,"corporation":false,"usgs":true,"family":"Mattli","given":"David","email":"dmattli@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":579607,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yamamoto, Kristina H. khyamamoto@usgs.gov","contributorId":4490,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Kristina","email":"khyamamoto@usgs.gov","middleInitial":"H.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":579608,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","interactions":[{"subject":{"id":70040972,"text":"70040972 - 2012 - Design and performance of radio telemetry systems for assessing juvenile fish passage at three hydroelectric dams","indexId":"70040972","publicationYear":"2012","noYear":false,"chapter":"6.5","title":"Design and performance of radio telemetry systems for assessing juvenile fish passage at three hydroelectric dams"},"predicate":"IS_PART_OF","object":{"id":70198150,"text":"70198150 - 2012 - Telemetry techniques: A user guide for fisheries research","indexId":"70198150","publicationYear":"2012","noYear":false,"title":"Telemetry techniques: A user guide for fisheries research"},"id":1},{"subject":{"id":70040973,"text":"70040973 - 2012 - A history of telemetry in fishery research","indexId":"70040973","publicationYear":"2012","noYear":false,"chapter":"2","title":"A history of telemetry in fishery research"},"predicate":"IS_PART_OF","object":{"id":70198150,"text":"70198150 - 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However, telemetry is gear intensive and typically requires more specialized knowledge and training than many other field techniques. As with other scientific methods, collecting good data is dependent on an understanding of the underlying principles behind the approach, knowing how to use the equipment and techniques properly, and recognizing what to do with the data collected.</p><p>This book provides a road map for using telemetry to study aquatic animals, and provides the basic information needed to plan, implement, and conduct a telemetry study under field conditions. Topics include acoustic or radio telemetry study design, tag implantation techniques, radio and acoustic telemetry principles and case studies, and data management and analysis.</p><p>Chapters are written by biologists, technicians, and engineers from the private, academic, and government sectors, with decades of experience using these technologies.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874264","usgsCitation":"2012, Telemetry techniques: A user guide for fisheries research, 518 p., https://doi.org/10.47886/9781934874264.","productDescription":"518 p.","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":355742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fd6a3e4b0f5d57878f29b","contributors":{"editors":[{"text":"Adams, Noah","contributorId":91604,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","affiliations":[],"preferred":false,"id":740260,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740261,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eiler, John H.","contributorId":146952,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":740262,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70042265,"text":"70042265 - 2012 - A general theory of multimetric indices and their properties","interactions":[],"lastModifiedDate":"2012-12-31T11:28:26","indexId":"70042265","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A general theory of multimetric indices and their properties","docAbstract":"1. Stewardship of biological and ecological resources requires the ability to make integrative assessments of ecological integrity. One of the emerging methods for making such integrative assessments is multimetric indices (MMIs). These indices synthesize data, often from multiple levels of biological organization, with the goal of deriving a single index that reflects the overall effects of human disturbance. Despite the widespread use of MMIs, there is uncertainty about why this approach can be effective. An understanding of MMIs requires a quantitative theory that illustrates how the properties of candidate metrics relates to MMIs generated from those metrics. \n2. We present the initial basis for such a theory by deriving the general mathematical characteristics of MMIs assembled from metrics. We then use the theory to derive quantitative answers to the following questions: Is there an optimal number of metrics to comprise an index? How does covariance among metrics affect the performance of the index derived from those metrics? And what are the criteria to decide whether a given metric will improve the performance of an index? \n3. We find that the optimal number of metrics to be included in an index depends on the theoretical distribution of signal of the disturbance gradient contained in each metric. For example, if the rank-ordered parameters of a metric-disturbance regression can be described by a monotonically decreasing function, then an optimum number of metrics exists and can often be derived analytically. We derive the conditions by which adding a given metric can be expected to improve an index. \n4. We find that the criterion defining such conditions depends nonlinearly of the signal of the disturbance gradient, the noise (error) of the metric and the correlation of the metric errors. Importantly, we find that correlation among metric errors increases the signal required for the metric to improve the index. \n5. The theoretical framework presented in this study provides the basis for understanding the properties of MMIs. It can also be useful throughout the index construction process. Specifically, it can be used to aid understanding of the benefits and limitations of combining metrics into indices; it can inform selection/collection of candidate metrics; and it can be used directly as a decision aid in effective index construction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00200.x","usgsCitation":"Schoolmaster, D.R., Grace, J.B., and Schweiger, E.W., 2012, A general theory of multimetric indices and their properties: Methods in Ecology and Evolution, v. 3, no. 4, p. 773-781, https://doi.org/10.1111/j.2041-210X.2012.00200.x.","productDescription":"8 p.","startPage":"773","endPage":"781","additionalOnlineFiles":"Y","ipdsId":"IP-032416","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":474181,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00200.x","text":"Publisher Index Page"},{"id":264951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264942,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00200.x"}],"country":"United States","volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-05-14","publicationStatus":"PW","scienceBaseUri":"50e5cfd2e4b0a4aa5bb0ae47","contributors":{"authors":[{"text":"Schoolmaster, Donald R. 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,{"id":70042268,"text":"ofr20121237 - 2012 - Establishment of sentinel sampling sites to monitor changes in water and sediment quality and biota related to visitor use at Lake Powell, Arizona and Utah, 2004-2006","interactions":[],"lastModifiedDate":"2012-12-31T11:58:49","indexId":"ofr20121237","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1237","title":"Establishment of sentinel sampling sites to monitor changes in water and sediment quality and biota related to visitor use at Lake Powell, Arizona and Utah, 2004-2006","docAbstract":"Twenty sentinel sampling sites were established and sampled during 2004–06 at Lake Powell, Arizona and Utah, by the U.S. Geological Survey and the National Park Service—Glen Canyon National Recreation Area. The sentinel sampling sites provide sampling locations on Lake Powell, the Nation’s second largest reservoir that can be visited and sampled repeatedly over time to monitor changes in water and sediment quality and also biota. The sites were established in response to an Environmental Impact Statement that addressed the use of personal watercraft on Lake Powell. The use of personal watercraft can potentially introduce hydrocarbons and other contaminants and are of concern to the health of visitors and aquatic habitats of these environments. Data from this initial sampling period (2004–06) include (1) discrete measurements of water temperature, specific conductance, pH, and water clarity; (2) major ions, nutrients, and organic carbon; (3) trace elements including rare earths; (4) organic compounds including oil and grease, total petroleum hydrocarbons, and volatile organic compounds; (5) polycyclic aromatic hydrocarbons in lakebed sediments; and (6) continuous depth profile measurements of water temperature, specific conductance, pH, dissolved oxygen, and turbidity. Also, the National Park Service-Glen Canyon National Recreation Area collected bacteria samples during this initial sampling period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121237","collaboration":"Prepared in cooperation with the National Park Service, <a href=\"http://www.nps.gov/glca/\" target=\"_blank\">Glen Canyon National Recreation Area</a>","usgsCitation":"Hart, R.J., Taylor, H.E., and Anderson, G., 2012, Establishment of sentinel sampling sites to monitor changes in water and sediment quality and biota related to visitor use at Lake Powell, Arizona and Utah, 2004-2006: U.S. Geological Survey Open-File Report 2012-1237, Report: vi, 25 p.; Table 1; 6 Appendixes: A-F, https://doi.org/10.3133/ofr20121237.","productDescription":"Report: vi, 25 p.; Table 1; 6 Appendixes: A-F","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":264959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1237.gif"},{"id":264957,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1237/of2012-1237_appendixes_a_c-f.xlsx"},{"id":264958,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1237/of2012-1237_appendix_b.xlsx"},{"id":264955,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1237/"},{"id":264956,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1237/of2012-1237_text.pdf"}],"country":"United States","state":"Arizona;Utah","otherGeospatial":"Glen Canyon National Recreation Area;Lake Powell","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.75,36.75 ], [ -111.75,38.0 ], [ -110.25,38.0 ], [ -110.25,36.75 ], [ -111.75,36.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cff6e4b0a4aa5bb0aeda","contributors":{"authors":[{"text":"Hart, Robert J. bhart@usgs.gov","contributorId":598,"corporation":false,"usgs":true,"family":"Hart","given":"Robert","email":"bhart@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":471139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, G.M.","contributorId":106373,"corporation":false,"usgs":true,"family":"Anderson","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":471140,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160585,"text":"70160585 - 2012 - Status of pelagic prey fishes in Lake Michigan, 2012","interactions":[],"lastModifiedDate":"2017-04-27T10:05:04","indexId":"70160585","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status of pelagic prey fishes in Lake Michigan, 2012","docAbstract":"Acoustic surveys were conducted in late summer/early fall during the years 1992-1996 and 2001-2012 to estimate pelagic prey fish biomass in Lake Michigan. Midwater trawling during the surveys as well as target strength provided a measure of species and size composition of the fish community for use in scaling acoustic data and providing species-specific abundance estimates. The 2012 survey consisted of 26 acoustic transects (576 km total) and 31 midwater tows. Mean total prey fish biomass was 6.4 kg/ha (relative standard error, RSE = 15%) or 31 kilotonnes (kt = 1,000 metric tons), which was 1.5 times the estimate for 2011 and 22% of the long-term mean. The increase from 2011 resulted from increased biomass of age-0 alewife, age-1 or older alewife, and large bloater. The abundance of the 2012 alewife year class was similar to the average, and this year-class contributed 35% of total alewife biomass (4.9 kg/ha, RSE = 17%), while the 2010 alewife year-class contributed 58%. The 2010 year class made up 89% of age-1 or older alewife biomass. In 2012, alewife comprised 77% of total prey fish biomass, while rainbow smelt and bloater were 4 and 19% of total biomass, respectively. Rainbow smelt biomass in 2012 (0.25 kg/ha, RSE = 17%) was 40% of the rainbow smelt biomass in 2011 and 5% of the long term mean. Bloater biomass was much lower (1.2 kg/ha, RSE = 12%) than in the 1990s, and mean density of small bloater in 2012 (191 fish/ha, RSE = 24%) was lower than peak values observed in 2007-2009. In 2012, pelagic prey fish biomass in Lake Michigan was similar to Lake Superior and Lake Huron. Prey fish biomass remained well below the Fish Community Objectives target of 500-800 kt, and key native species remain absent or rare.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Warner, D.M., O’Brien, T.P., Farha, S., Claramunt, R., and Hanson, D., 2012, Status of pelagic prey fishes in Lake Michigan, 2012, 12 p.","productDescription":"12 p.","ipdsId":"IP-044481","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312800,"type":{"id":15,"text":"Index Page"},"url":"https://www.glsc.usgs.gov/products/reports/467052780"}],"country":"United States","otherGeospatial":"Lake 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0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steven","email":"sfarha@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":583207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Dale","contributorId":43676,"corporation":false,"usgs":true,"family":"Hanson","given":"Dale","affiliations":[],"preferred":false,"id":583208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192488,"text":"70192488 - 2012 - Sexual selection and mating chronology of Lesser Prairie-Chickens","interactions":[],"lastModifiedDate":"2017-11-16T10:45:26","indexId":"70192488","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Sexual selection and mating chronology of Lesser Prairie-Chickens","docAbstract":"Little is known about mate selection and lek dynamics of Lesser Prairie-Chickens (Tympanuchus pallidicinctus). We collected data on male territory size and location on leks, behavior, and morphological characteristics and assessed the importance of these variables on male Lesser Prairie-Chicken mating success during spring 2008 and 2009 in the Texas Southern High Plains. We used discrete choice models and found that males that were less idle were chosen more often for mating. Our results also suggest that males with smaller territories obtained more copulations. Morphological characteristics were weaker predictors of male mating success. Peak female attendance at leks occurred during the 1-week interval starting 13 April during both years of study. Male prairie-chickens appear to make exploratory movements to, and from, leks early in the lekking season; 13 of 19 males banded early (23 Feb–13 Mar) in the lekking season departed the lek of capture and were not reobserved (11 yearlings, 2 adults). Thirty-three percent (range  =  26–51%) of males on a lek mated (yearlings  =  44%, adults  =  20%) and males that were more active experienced greater mating success.","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/11-079.1","usgsCitation":"Behney, A.C., Grisham, B.A., Boal, C.W., Whitlaw, H.A., and Haukos, D.A., 2012, Sexual selection and mating chronology of Lesser Prairie-Chickens: Wilson Journal of Ornithology, v. 124, no. 1, p. 96-105, https://doi.org/10.1676/11-079.1.","productDescription":"10 p.","startPage":"96","endPage":"105","ipdsId":"IP-026272","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61053fe4b06e28e9c25522","contributors":{"authors":[{"text":"Behney, Adam C.","contributorId":171686,"corporation":false,"usgs":false,"family":"Behney","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grisham, Blake A.","contributorId":75419,"corporation":false,"usgs":true,"family":"Grisham","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","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":716064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitlaw, Heather A.","contributorId":13026,"corporation":false,"usgs":true,"family":"Whitlaw","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":722170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193571,"text":"70193571 - 2012 - Digital elevation model generation from satellite interferometric synthetic aperture radar: Chapter 5","interactions":[],"lastModifiedDate":"2017-11-30T10:25:33","indexId":"70193571","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Digital elevation model generation from satellite interferometric synthetic aperture radar: Chapter 5","docAbstract":"<p>An accurate digital elevation model (DEM) is a critical data set for characterizing the natural landscape, monitoring natural hazards, and georeferencing satellite imagery. The ideal interferometric synthetic aperture radar (InSAR) configuration for DEM production is a single-pass two-antenna system. Repeat-pass single-antenna satellite InSAR imagery, however, also can be used to produce useful DEMs. DEM generation from InSAR is advantageous in remote areas where the photogrammetric approach to DEM generation is hindered by inclement weather conditions. There are many sources of errors in DEM generation from repeat-pass InSAR imagery, for example, inaccurate determination of the InSAR baseline, atmospheric delay anomalies, and possible surface deformation because of tectonic, volcanic, or other sources during the time interval spanned by the images. This chapter presents practical solutions to identify and remove various artifacts in repeat-pass satellite InSAR images to generate a high-quality DEM.</p>","largerWorkTitle":"Advances in mapping from remote sensor imagery","language":"English","publisher":"Taylor & Francis","doi":"10.1201/b13770-6","usgsCitation":"Lu, Z., Dzurisin, D., Jung, H., Zhang, L., Lee, W., and Lee, C., 2012, Digital elevation model generation from satellite interferometric synthetic aperture radar: Chapter 5, chap. <i>of</i> Advances in mapping from remote sensor imagery, 26 p., https://doi.org/10.1201/b13770-6.","productDescription":"26 p.","ipdsId":"IP-037018","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":349560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61053ee4b06e28e9c2551a","contributors":{"authors":[{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":719397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jung, Hyung-Sup","contributorId":58382,"corporation":false,"usgs":true,"family":"Jung","given":"Hyung-Sup","email":"","affiliations":[],"preferred":false,"id":719399,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhang, Lei","contributorId":199545,"corporation":false,"usgs":false,"family":"Zhang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":719400,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lee, Wonjin","contributorId":199546,"corporation":false,"usgs":false,"family":"Lee","given":"Wonjin","email":"","affiliations":[],"preferred":false,"id":719401,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lee, Chang-Wook","contributorId":15748,"corporation":false,"usgs":true,"family":"Lee","given":"Chang-Wook","email":"","affiliations":[],"preferred":false,"id":719398,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70192104,"text":"70192104 - 2012 - Basin thickness variations at the Junction of the Eastern California Shear Zone and the San Bernardino Mountains, California:  How thick could the Pliocene sections be?","interactions":[],"lastModifiedDate":"2017-11-16T10:38:47","indexId":"70192104","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Basin thickness variations at the Junction of the Eastern California Shear Zone and the San Bernardino Mountains, California:  How thick could the Pliocene sections be?","docAbstract":"We estimate the thickness of Neogene basin fill along the junction of the Eastern\nCalifornia Shear Zone and the North Frontal thrust system of the San Bernardino Mountains\nusing gravity data with geologic and well log constraints. The geometry of the basin fill is of\ninterest for groundwater assessment and location of potential faults, as well as providing an upper\nbound on the thickness of any potential, buried Pliocene sediments. Nearly one thousand new\ngravity measurements were collected along the North Frontal thrust system from Hesperia to\nJohnson Valley. Three-dimensional inverse modeling of the new and existing gravity data shows\nthat Neogene deposits are segmented into basins along the range front of the San Bernardino\nMountains. The Helendale fault, a dextral fault in the Eastern California Shear Zone, separates\nshallower basement (approximately 300 m depth) beneath Lucerne Valley east of the fault from\ndeeper basement (approximately 550 m or more) west of the fault. The thickest part of the basin\nfill is generally located near the San Bernardino Mountains and the basin shallows northward.\nThe amount of throw on the North Frontal thrust appears to decrease eastward, as the gravity\ngradient associated with the fault diminishes in amplitude. The thickness of basin fill away from\nthe North Frontal system and east of the Helendale fault is less than 100 to 200 m, except for local\npockets generally developed along strike-slip faults of the Eastern California Shear Zone and local\neast-west oriented depressions associated with folding of the basin fill.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Searching for the Pliocene: southern exposures, Annual Desert Symposium Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"The 2012 Desert Research Symposium","conferenceDate":"October 2012","conferenceLocation":"Redlands, CA","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Langenheim, V., Surko, T.L., Armstrong, P.A., and Matti, J.C., 2012, Basin thickness variations at the Junction of the Eastern California Shear Zone and the San Bernardino Mountains, California:  How thick could the Pliocene sections be?, <i>in</i> Searching for the Pliocene: southern exposures, Annual Desert Symposium Proceedings, Redlands, CA, October 2012, p. 31-37.","productDescription":"7 p.","startPage":"31","endPage":"37","ipdsId":"IP-035779","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":348878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61053fe4b06e28e9c25524","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Surko, Tammy L.","contributorId":197760,"corporation":false,"usgs":false,"family":"Surko","given":"Tammy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armstrong, Phillip A.","contributorId":197761,"corporation":false,"usgs":false,"family":"Armstrong","given":"Phillip","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matti, Jonathan C. 0000-0001-5961-9869 jmatti@usgs.gov","orcid":"https://orcid.org/0000-0001-5961-9869","contributorId":167192,"corporation":false,"usgs":true,"family":"Matti","given":"Jonathan","email":"jmatti@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193381,"text":"70193381 - 2012 - Distributional changes of American martens and fishers in eastern North America, 1699-2001: Chapter 4","interactions":[],"lastModifiedDate":"2017-12-05T13:26:33","indexId":"70193381","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Distributional changes of American martens and fishers in eastern North America, 1699-2001: Chapter 4","docAbstract":"<p>Contractions in the geographic distributions of the American marten ( Martes americana) and fi sher ( M. pennanti) in eastern North America south of the St. Lawrence River between Colonial times (ca. 1650–1800) and the fi sher’s recent range expansion (ca. 1930–present) are well documented, but causal factors in these range contractions have only partially been studied. Traditional explanations for range contractions by both species are forest clearing and unregulated trapping; little consideration has been given to alternative explanations. It has been hypothesized that deep snow limits the distribution of fi shers, and that high fi sher populations limit the distribution of martens. I assessed the potential contributions of these factors to observed range contractions for these species by evaluating expected patterns of change in their historical distributions since Colonial times. Using published data on the distribution of martens and fi shers in eastern North America, including early and contemporary fur-harvest records ( n = 60,702), I found that broad-scale changes in their geographic distributions in eastern North America were consistent with 3 of those expectations, and partially so with a 4th. I recognize that retrospective analyses cannot establish the relative importance of land clearing, unregulated trapping, and changing climatic conditions on observed range contractions; nevertheless, when historical data from eastern North America are viewed in the context of long-term climate warming and the results of recent ecological studies, they suggest that traditional arguments may only partially explain historical range contractions for both species. This study further suggests that under a warming climate, northern range boundaries for the fi sher will expand, and southern range boundaries for the American marten will continue to contract. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and Conservation of Martens, Sables, and Fishers: A New Synthesis","language":"English","publisher":"Cornell University Press","isbn":"978-0-8014-5088-4","usgsCitation":"Krohn, W.B., 2012, Distributional changes of American martens and fishers in eastern North America, 1699-2001: Chapter 4, chap. <i>of</i> Biology and Conservation of Martens, Sables, and Fishers: A New Synthesis, 16 p.","productDescription":"16 p.","ipdsId":"IP-020008","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":349693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349692,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cornellpress.cornell.edu/book/?GCOI=80140100360310"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.251953125,\n              34.30714385628804\n            ],\n            [\n              -55.458984375,\n              34.30714385628804\n            ],\n            [\n              -55.458984375,\n              52.696361078274485\n            ],\n            [\n              -93.251953125,\n              52.696361078274485\n            ],\n            [\n              -93.251953125,\n              34.30714385628804\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61053ee4b06e28e9c2551e","contributors":{"authors":[{"text":"Krohn, William B.","contributorId":28225,"corporation":false,"usgs":true,"family":"Krohn","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724461,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70189363,"text":"70189363 - 2012 - Using computational modeling of river flow with remotely sensed data to infer channel bathymetry","interactions":[],"lastModifiedDate":"2017-07-11T16:17:30","indexId":"70189363","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using computational modeling of river flow with remotely sensed data to infer channel bathymetry","docAbstract":"<p><span>As part of an ongoing investigation into the use of computational river flow and morphodynamic models for the purpose of correcting and extending remotely sensed river datasets, a simple method for inferring channel bathymetry is developed and discussed. The method is based on an inversion of the equations expressing conservation of mass and momentum to develop equations that can be solved for depth given known values of vertically-averaged velocity and water-surface elevation. The ultimate goal of this work is to combine imperfect remotely sensed data on river planform, water-surface elevation and water-surface velocity in order to estimate depth and other physical parameters of river channels. In this paper, the technique is examined using synthetic data sets that are developed directly from the application of forward two-and three-dimensional flow models. These data sets are constrained to satisfy conservation of mass and momentum, unlike typical remotely sensed field data sets. This provides a better understanding of the process and also allows assessment of how simple inaccuracies in remotely sensed estimates might propagate into depth estimates. The technique is applied to three simple cases: First, depth is extracted from a synthetic dataset of vertically averaged velocity and water-surface elevation; second, depth is extracted from the same data set but with a normally-distributed random error added to the water-surface elevation; third, depth is extracted from a synthetic data set for the same river reach using computed water-surface velocities (in place of depth-integrated values) and water-surface elevations. In each case, the extracted depths are compared to the actual measured depths used to construct the synthetic data sets (with two- and three-dimensional flow models). Errors in water-surface elevation and velocity that are very small degrade depth estimates and cannot be recovered. Errors in depth estimates associated with assuming water-surface velocities equal to depth-integrated velocities are substantial, but can be reduced with simple corrections.</span></p>","largerWorkTitle":"IAHR Riverflow 2012 Conference Proceedings","conferenceTitle":"IAHR Riverflow 2012 Conference","language":"English","usgsCitation":"Nelson, J.M., McDonald, R.R., Kinzel, P.J., and Shimizu, Y., 2012, Using computational modeling of river flow with remotely sensed data to infer channel bathymetry, <i>in</i> IAHR Riverflow 2012 Conference Proceedings, p. 761-768.","productDescription":"8 p.","startPage":"761","endPage":"768","ipdsId":"IP-036984","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343612,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcnetbase.com/doi/abs/10.1201/b13250-115"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965babce4b0d1f9f05b38d3","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":704375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":704374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimizu, Y.","contributorId":88177,"corporation":false,"usgs":true,"family":"Shimizu","given":"Y.","affiliations":[],"preferred":false,"id":704376,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70190486,"text":"70190486 - 2012 - Concurrent speciation in the eastern woodland salamanders (Genus Plethodon):DNA sequences of the complete albumin nuclear and partialmitochondrial 12s genes","interactions":[],"lastModifiedDate":"2017-09-05T08:59:05","indexId":"70190486","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2779,"text":"Molecular Phylogenetics and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Concurrent speciation in the eastern woodland salamanders (Genus <i>Plethodon</i>):DNA sequences of the complete albumin nuclear and partialmitochondrial 12s genes","title":"Concurrent speciation in the eastern woodland salamanders (Genus Plethodon):DNA sequences of the complete albumin nuclear and partialmitochondrial 12s genes","docAbstract":"Salamanders of the North American plethodontid genus Plethodon are important model organisms in a variety of studies that depend on a phylogenetic framework (e.g., chemical communication, ecological competition, life histories, hybridization, and speciation), and consequently their systematics has been intensively investigated over several decades. Nevertheless, we lack a synthesis of relationships among the species. In the analyses reported here we use new DNA sequence data from the complete nuclear albumin gene (1818 bp) and the 12s mitochondrial gene (355 bp), as well as published data for four other genes (Wiens et al., 2006), up to a total of 6989 bp, to infer relationships. We relate these results to past systematic work based on morphology, allozymes, and DNA sequences. Although basal relationships show a strong consensus across studies, many terminal relationships remain in flux despite substantial sequencing and other molecular and morphological studies. This systematic instability appears to be a consequence of contemporaneous bursts of speciation in the late Miocene and Pliocene, yielding many closely related extant species in each of the four eastern species groups. Therefore we conclude that many relationships are likely to remain poorly resolved in the face of additional sequencing efforts. On the other hand, the current classification of the 45 eastern species into four species groups is supported. The Plethodon cinereus group (10 species) is the sister group to the clade comprising the other three groups, but these latter groups (Plethodon glutinosus [28 species], Plethodon welleri [5 species], and Plethodon wehrlei [2 species]) probably diverged from each other at approximately the same time.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ympev.2011.12.018","usgsCitation":"Highton, R., Hastings, A.P., Palmer, C., Watts, R., Hass, C.A., Culver, M., and Arnold, S., 2012, Concurrent speciation in the eastern woodland salamanders (Genus Plethodon):DNA sequences of the complete albumin nuclear and partialmitochondrial 12s genes: Molecular Phylogenetics and Evolution, v. 63, no. 2, p. 278-290, https://doi.org/10.1016/j.ympev.2011.12.018.","productDescription":"13 p.","startPage":"278","endPage":"290","ipdsId":"IP-056780","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":345450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59afb79fe4b0e9bde1351141","contributors":{"authors":[{"text":"Highton, Richard","contributorId":196137,"corporation":false,"usgs":false,"family":"Highton","given":"Richard","email":"","affiliations":[],"preferred":false,"id":709433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hastings, Amy Picard","contributorId":196138,"corporation":false,"usgs":false,"family":"Hastings","given":"Amy","email":"","middleInitial":"Picard","affiliations":[],"preferred":false,"id":709434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, Catherine","contributorId":196139,"corporation":false,"usgs":false,"family":"Palmer","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":709435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Richard","contributorId":196140,"corporation":false,"usgs":false,"family":"Watts","given":"Richard","email":"","affiliations":[],"preferred":false,"id":709436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hass, Carla A.","contributorId":196141,"corporation":false,"usgs":false,"family":"Hass","given":"Carla","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":709432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arnold, Stevan","contributorId":196142,"corporation":false,"usgs":false,"family":"Arnold","given":"Stevan","email":"","affiliations":[],"preferred":false,"id":709438,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70049351,"text":"70049351 - 2012 - Stochastic analyses to identify wellfield withdrawal effects on surface-water and groundwater in Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2014-02-05T15:21:15","indexId":"70049351","displayToPublicDate":"2012-12-30T15:14:54","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic analyses to identify wellfield withdrawal effects on surface-water and groundwater in Miami-Dade County, Florida","docAbstract":"Several stochastic analyses were conducted in Miami-Dade County, Florida, to evaluate the effects of\nwellfield withdrawal on aquifer water levels, canal stage, and canal flow. Multiyear data for withdrawals\nat four water-supply wellfields, water levels at the S-121 canal control structure and groundwater head at\na nearby monitoring well were used to determine the interrelation between wellfield withdrawals and\nwater levels in the canal and aquifer. A spectral analysis was performed first on the wellfield withdrawals,\nshowing similar patterns of fluctuations, but no well-defined seasonality. In order to compare\nwater-level response with withdrawals at each wellfield, the intercorrelation effects between wellfields\nwas removed through a ‘causal chain’ approach where the inter-wellfield correlation is used to isolate\nthe wellfield/water-level correlation.\n<br/>\n<p>Most computed correlations have magnitudes less than 5 percent, but with statistical significance\nabove 90 percent. Results indicate that withdrawals from the wellfields most distant from the canal had\nno significant correlation to the canal levels. However the highest correlation was not at the wellfield\nclosest to the canal, but at the two wellfields at the intermediate distance that have higher withdrawal\nrates. The hydraulic interconnectivity of the canal with the rest of the canal network, covering the study\narea, allows the canal equalizes with all connected canals. This explains why proximity to a particular\ncanal location does not appear to be as important a factor as the withdrawal rate. Groundwater levels are\nmore highly correlated to a wellfield on the same side of the canal, and to pumping wells in the same\nwellfield on the same side of the canal. This indicates that canals are an effective barrier and source/sink\nfor the groundwater. Further nonlinear correlation analysis indicates that high withdrawal rates disproportionally\naffect water levels and are the predominant effect on the canal.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2012.08.033","usgsCitation":"Swain, E., 2012, Stochastic analyses to identify wellfield withdrawal effects on surface-water and groundwater in Miami-Dade County, Florida: Journal of Environmental Management, v. 113, p. 15-21, https://doi.org/10.1016/j.jenvman.2012.08.033.","productDescription":"7 p.","startPage":"15","endPage":"21","ipdsId":"IP-021978","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":282057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282056,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2012.08.033"}],"country":"United States","state":"Florida","county":"Miami-dade County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.8736,25.1374 ], [ -80.8736,25.9794 ], [ -80.1179,25.9794 ], [ -80.1179,25.1374 ], [ -80.8736,25.1374 ] ] ] } } ] }","volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7428e4b0b29085109606","contributors":{"authors":[{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":23347,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[],"preferred":false,"id":486106,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042083,"text":"70042083 - 2012 - Landsat 4 Thematic Mapper calibration update","interactions":[],"lastModifiedDate":"2020-12-31T14:55:31.904134","indexId":"70042083","displayToPublicDate":"2012-12-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat 4 Thematic Mapper calibration update","docAbstract":"<p><span>The Landsat 4 Thematic Mapper (TM) collected imagery of the Earth's surface from 1982 to 1993. Although largely overshadowed by Landsat 5 which was launched in 1984, Landsat 4 TM imagery extends the TM-based record of the Earth back to 1982 and also substantially supplements the image archive collected by Landsat 5. To provide a consistent calibration record for the TM instruments, Landsat 4 TM was cross-calibrated to Landsat 5 using nearly simultaneous overpass imagery of pseudo-invariant calibration sites (PICS) in the time period of 1988-1990. To determine if the radiometric gain of Landsat 4 had changed over its lifetime, time series from two PICS locations (a Saharan site known as Libya 4 and a site in southwest North America, commonly referred to as the Sonoran Desert site) were developed. The results indicated that Landsat 4 had been very stable over its lifetime, with no discernible degradation in sensor performance in all reflective bands except band 1. In contrast, band 1 exhibited a 12% decay in responsivity over the lifetime of the instrument. Results from this paper have been implemented at USGS EROS, which enables users of Landsat TM data sets to obtain consistently calibrated data from Landsat 4 and 5 TM as well as Landsat 7 ETM+ instruments.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2011.2171350","usgsCitation":"Helder, D.L., Malla, R., Mettler, C.J., Markham, B.L., and Micijevic, E., 2012, Landsat 4 Thematic Mapper calibration update: IEEE Transactions on Geoscience and Remote Sensing, v. 50, no. 6, p. 2400-2408, https://doi.org/10.1109/TGRS.2011.2171350.","productDescription":"9 p.","startPage":"2400","endPage":"2408","temporalStart":"1982-01-01","temporalEnd":"1993-12-31","ipdsId":"IP-030741","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":381800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50df6c31e4b0dfbe79e6c3c7","contributors":{"authors":[{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malla, Rimy","contributorId":34008,"corporation":false,"usgs":true,"family":"Malla","given":"Rimy","email":"","affiliations":[],"preferred":false,"id":470746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mettler, Cory J.","contributorId":45980,"corporation":false,"usgs":true,"family":"Mettler","given":"Cory","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":470748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":470745,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042217,"text":"sir20125262 - 2012 - Assessing potential effects of changes in water use with a numerical groundwater-flow model of Carson Valley, Douglas County, Nevada, and Alpine County, California","interactions":[],"lastModifiedDate":"2012-12-28T13:48:13","indexId":"sir20125262","displayToPublicDate":"2012-12-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5262","title":"Assessing potential effects of changes in water use with a numerical groundwater-flow model of Carson Valley, Douglas County, Nevada, and Alpine County, California","docAbstract":"Rapid growth and development within Carson Valley in Douglas County, Nevada, and Alpine County, California, has caused concern over the continued availability of groundwater, and whether the increased municipal demand could either impact the availability of water or result in decreased flow in the Carson River. Annual pumpage of groundwater has increased from less than 10,000 acre feet per year (acre-ft/yr) in the 1970s to about 31,000 acre-ft/yr in 2004, with most of the water used in agriculture. Municipal use of groundwater totaled about 10,000 acre-feet in 2000. In comparison, average streamflow entering the valley from 1940 to 2006 was 344,100 acre-ft/yr, while average flow exiting the valley was 297,400 acre-ft/yr. Carson Valley is underlain by semi-consolidated Tertiary sediments that are exposed on the eastern side and dip westward. Quaternary fluvial and alluvial deposits overlie the Tertiary sediments in the center and western side of the valley. The hydrology of Carson Valley is dominated by the Carson River, which supplies irrigation water for about 39,000 acres of farmland and maintains the water table less than 5 feet (ft) beneath much of the valley floor. Perennial and ephemeral watersheds drain the Carson Range and the Pine Nut Mountains, and mountain-front recharge to the groundwater system from these watersheds is estimated to average 36,000 acre-ft/yr. Groundwater in Carson Valley flows toward the Carson River and north toward the outlet of the Carson Valley. An upward hydraulic gradient exists over much of the valley, and artesian wells flow at land surface in some areas. Water levels declined as much as 15 ft since 1980 in some areas on the eastern side of the valley. Median estimated transmissivities of Quaternary alluvial-fan and fluvial sediments, and Tertiary sediments are 316; 3,120; and 110 feet squared per day (ft<sup>2</sup>/d), respectively, with larger transmissivity values in the central part of the valley and smaller values near the valley margins. A groundwater-flow model of Quaternary and Tertiary sediments in Carson Valley was developed using MODFLOW and calibrated to simulate historical conditions from water years 1971 through 2005. The 35-year transient simulation represented quarterly changes in precipitation, streamflow, pumping and irrigation. Inflows to the groundwater system simulated in the model include mountain-front recharge from watersheds in the Carson Range and Pine Nut Mountains, valley recharge from precipitation and land application of wastewater, agricultural recharge from irrigation, and septic-tank discharge. Outflows from the groundwater system simulated in the model include evapotranspiration from the water table and groundwater withdrawals for municipal, domestic, irrigation and other water supplies. The exchange of water between groundwater, the Carson River, and the irrigation system was represented with a version of the Streamflow Routing (SFR) package that was modified to apply diversions from the irrigation network to irrigated areas as recharge. The groundwater-flow model was calibrated through nonlinear regression with UCODE to measured water levels and streamflow to estimate values of hydraulic conductivity, recharge and streambed hydraulic-conductivity that were represented by 18 optimized parameters. The aquifer system was simulated as confined to facilitate numerical convergence, and the hydraulic conductivity of the top active model layers that intersect the water table was multiplied by a factor to account for partial saturation. Storage values representative of specific yield were specified in parts of model layers where unconfined conditions are assumed to occur. The median transmissivity (<i>T</i>) values (11,000 and 800 ft<sup>2</sup>/d for the fluvial and alluvial-fan sediments, respectively) are both within the third quartile of <i>T</i> values estimated from specific-capacity data, but <i>T</i> values for Tertiary sediments are larger than the third quartile estimated from specific-capacity data. The estimated vertical anisotropy for the Quaternary fluvial sediments (9,000) is comparable to the value estimated for a previous model of Carson Valley. The estimated total volume of mountain-front recharge is equivalent to a previous estimate from the Precipitation-Runoff Modeling System (PRMS) watershed models, but less recharge is estimated for the Carson Range and more recharge is estimated for the Pine Nut Mountains than the previous estimate. Simulated flow paths indicate that groundwater flows faster through the center of Carson Valley and slower through the lower hydraulic-conductivity Tertiary sediments to the east. Shallow flow in the center of the valley is towards drainage channels, but deeper flow is generally directed toward the basin outlet to the north. The aquifer system is in a dynamic equilibrium with large inflows from storage in dry years and large outflows to storage in wet years. Pumping has historically been less than 10 percent of outflows from the groundwater system, and agricultural recharge has been less than 10 percent of inflows to the groundwater system. Three principal sources of uncertainty that affect model results are: (1) the hydraulic characteristics of the Tertiary sediments on the eastern side of the basin, (2) the composition of sediments beneath the alluvial fans and (3) the extent of the confining unit represented within fluvial sediments in the center of the basin. The groundwater-flow model was used in five 55-year predictive simulations to evaluate the long-term effects of different water-use scenarios on water-budget components, groundwater levels, and streamflow in the Carson River. The predictive simulations represented water years 2006 through 2060 using quarterly stress periods with boundary conditions that varied cyclically to represent the transition from wet to dry conditions observed from water years 1995 through 2004. The five scenarios included a base scenario with 2005 pumping rates held constant throughout the simulation period and four other scenarios using: (1) pumping rates increased by 70 percent, including an additional 1,340 domestic wells, (2A) pumping rates more than doubled with municipal pumping increased by a factor of four over the base scenario, (2B) pumping rates of 2A with 2,040 fewer domestic wells, and (3) pumping rates of 2A with 3,700 acres removed from irrigation. The 55-year predictive simulations indicate that increasing groundwater withdrawals under the scenarios considered would result in as much as 40 ft and 60 ft of water-table decline on the west and east sides of Carson Valley, respectively. The water table in the central part of the valley would remain essentially unchanged, but water-level declines of as much as 30 ft are predicted for the deeper, confined aquifer. The increased withdrawals would reduce the volume of groundwater storage and decrease the mean downstream flow in the Carson River by as much as 16,500 acre-ft/yr. If, in addition, 3,700 acres were removed from irrigation, the reduction in mean downstream flow in the Carson River would be only 6,500 acre-ft/yr. The actual amount of flow reduction is uncertain because of potential changes in irrigation practices that may not be accounted for in the model. The projections of the predictive simulations are sensitive to rates of mountain-front recharge specified for the Carson Range and the Pine Nut Mountains. The model provides a tool that can be used to aid water managers and planners in making informed decisions. A prudent management approach would include continued monitoring of water levels on both the east and west sides of Carson Valley to either verify the predictions of the groundwater-flow model or to provide additional data for recalibration of the model if the predictions prove inaccurate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125262","collaboration":"Prepared in cooperation with the Carson Water Subconservancy District","usgsCitation":"Yager, R.M., Maurer, D.K., and Mayers, C., 2012, Assessing potential effects of changes in water use with a numerical groundwater-flow model of Carson Valley, Douglas County, Nevada, and Alpine County, California: U.S. Geological Survey Scientific Investigations Report 2012-5262, x,  84 p., https://doi.org/10.3133/sir20125262.","productDescription":"x,  84 p.","numberOfPages":"98","additionalOnlineFiles":"N","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":264890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5262.jpg"},{"id":264888,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5262/"},{"id":264889,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5262/pdf/sir2012-5262.pdf"}],"country":"United States","state":"California;Nevada","county":"Alpine;Churchill;Douglas;Storey;Washoe","otherGeospatial":"Carson River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,38.25 ], [ -120.0,40.5 ], [ -118.0,40.5 ], [ -118.0,38.25 ], [ -120.0,38.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe1e4b0a4aa5bb0ae7d","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maurer, Douglas K. dkmaurer@usgs.gov","contributorId":2308,"corporation":false,"usgs":true,"family":"Maurer","given":"Douglas","email":"dkmaurer@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":471009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayers, C.J.","contributorId":17410,"corporation":false,"usgs":true,"family":"Mayers","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":471010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042218,"text":"ofr20121260 - 2012 - Stratigraphic cross section of measured sections and drill holes of the Neslen Formation and adjacent formations, Book Cliffs Area, Colorado and Utah","interactions":[],"lastModifiedDate":"2019-11-22T14:55:55","indexId":"ofr20121260","displayToPublicDate":"2012-12-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1260","title":"Stratigraphic cross section of measured sections and drill holes of the Neslen Formation and adjacent formations, Book Cliffs Area, Colorado and Utah","docAbstract":"<p>This study updates a stratigraphic cross section published as plate 2 in Kirschbaum and Hettinger (2004) Digital Data Series 69-G (<a data-mce-href=\"http://pubs.usgs.gov/dds/dds-069/dds-069-g/\" href=\"http://pubs.usgs.gov/dds/dds-069/dds-069-g/\">http://pubs.usgs.gov/dds/dds-069/dds-069-g/</a>). The datum is a marine/tidal ravinement surface within the Cozzette Sandstone Member of the Iles Formation and the Thompson Canyon Sandstone and Sulphur Canyon Sandstone Beds of the Neslen Formation. One of the cores shown was included on the original cross section, and new core descriptions have been added to the upper part of the cored interval. A new core description (S178) is included in this report. Cores are stored in the U.S. Geological Survey Core Research Facility at the Denver Federal Center, Colorado. The following information has also been added to help define the stratigraphic framework: 1) At least five claystones interpreted as altered volcanic ashes have been identified and may give future workers a correlation tool within the largely continental section. 2) Thickness and general geometry of the Sego Sandstone, Buck Tongue of the Mancos Shale, and Castlegate Sandstone have been added to provide additional stratigraphic context. 3) The geometry in the Sego Sandstone, Buck Tongue of the Mancos Shale, and Castlegate Sandstone has been added to provide additional stratigraphic context. 4) Ammonite collections are from Gill and Hail. The zone of Didymoceras nebrascense projected into the East Salt Wash area is based on correlation of the flooding surface at the base of the Cozzette Member to this point as shown in Kirschbaum and Hettinger. 5) A leaf locality of the Denver Museum of Nature and Science is shown in its approximate stratigraphic position near Thompson Canyon. 6) A dinosaur locality of the Natural History Museum of Utah is shown in the Horse Canyon area measured section at the stratigraphic position where it was extracted.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121260","usgsCitation":"Kirschbaum, M.A., and Spear, B.D., 2012, Stratigraphic cross section of measured sections and drill holes of the Neslen Formation and adjacent formations, Book Cliffs Area, Colorado and Utah: U.S. Geological Survey Open-File Report 2012-1260, 1 Sheet: 84.00 x 36.00 inches, https://doi.org/10.3133/ofr20121260.","productDescription":"1 Sheet: 84.00 x 36.00 inches","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":264897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1260.jpg"},{"id":264895,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1260/"},{"id":264896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1260/OF2012-1260.pdf"}],"country":"United States","state":"Utah, Colorado","otherGeospatial":"Books Cliffs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.05,36.99 ], [ -114.05,42.0 ], [ -102.04,42.0 ], [ -102.04,36.99 ], [ -114.05,36.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4d714e4b0e8fec6ce368c","contributors":{"authors":[{"text":"Kirschbaum, Mark A.","contributorId":25112,"corporation":false,"usgs":true,"family":"Kirschbaum","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Brianne D.","contributorId":15657,"corporation":false,"usgs":true,"family":"Spear","given":"Brianne","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":471011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042221,"text":"sir20125285 - 2012 - Borehole geophysical, fluid, and hydraulic properties within and surrounding the freshwater/saline-water transition zone, San Antonio segment of the Edwards aquifer, south-central Texas, 2010-11","interactions":[],"lastModifiedDate":"2016-08-10T10:51:07","indexId":"sir20125285","displayToPublicDate":"2012-12-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5285","title":"Borehole geophysical, fluid, and hydraulic properties within and surrounding the freshwater/saline-water transition zone, San Antonio segment of the Edwards aquifer, south-central Texas, 2010-11","docAbstract":"<p>The freshwater zone of the San Antonio segment of the Edwards aquifer is used by residents of San Antonio and numerous other rapidly growing communities in south-central Texas as their primary water supply source. This freshwater zone is bounded to the south and southeast by a saline-water zone with an intermediate zone transitioning from freshwater to saline water, the transition zone. As demands on this water supply increase, there is concern that the transition zone could potentially move, resulting in more saline water in current supply wells. Since 1985, the U.S. Geological Survey (USGS), San Antonio Water System (SAWS), and other Federal and State agencies have conducted studies to better understand the transition zone.</p>\n<p>During 2010 and 2011, the USGS, in cooperation with SAWS, conducted a study to further assess the potential for movement of the transition zone in part of the San Antonio segment of the Edwards aquifer. Equivalent freshwater heads were computed to investigate the transition from saline to freshwater zones in the San Antonio segment and evaluate the potential for lateral flow at the freshwater/saline-water interface. Data were collected within and surrounding the transition zone from 13 wells in four transects (East Uvalde, Tri-County, Fish Hatchery, and Kyle).</p>\n<p>Hydraulic head and geophysical log data were used to calculate equivalent freshwater heads and then analyzed to identify possible horizontal gradients across the transition zone and thus flow. Unlike previous studies that used indirect methods to calculate fluid conductivity from fluid resistivity, in this study geophysical tools that directly measured fluid conductivity were used. Electromagnetic (EM) flowmeter logs were collected under both ambient and stressed (pumping) conditions and were processed to identify vertical flow zones within the borehole.</p>\n<p>The San Antonio segment of the Edwards aquifer (the study area) is about 175 miles long and extends from the western groundwater divide near Brackettville in Kinney County to the eastern groundwater divide near Kyle in Hays County. The four transects consist of two to five wells per transect and were configured approximately perpendicular to and across the expected trace of the freshwater/saline-water interface.</p>\n<p>The deep flow zone indicated by the EM flowmeter data for East Uvalde transect well EU2 corresponds directly with a large, negative deflection of the fluid logs, indicating an inflow of fresher water from the Devils River Limestone. To the southwest, towards the freshwater/saline-water interface, this same flow zone was observed in well EU1, but with a reduction of flow, and displayed no apparent fluid curve deflections.</p>\n<p>The highest observed transmissivity of the study area was observed in the saline zone of the Tri-County transect, at well TC3, which had a total transmissivity of 24,900 square feet per day. Zones of high transmissivity throughout the study site were observed to not be continuous and are likely caused by localized secondary porosity such as intersecting faults or karst features.</p>\n<p>Although analyses of daily mean equivalent freshwater heads for the East Uvalde transect indicated that the gradient across the freshwater/saline-water interface varied between into and out of the freshwater zone, the data indicate that there was a slightly longer period during which the gradient was out of the freshwater zone. Analyses of all daily mean equivalent freshwater heads for the Tri-County transect indicated that the lateral-head gradients across the freshwater/saline-water interface were typically mixed (not indicative of flow into or out of freshwater zone). Assessment of the daily mean equivalent freshwater heads indicated that, although the lateral-head gradient at the Kyle transect varied between into and out of the freshwater zone, the lateral-head gradient was typically from the transition zone into the freshwater zone.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125285","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Thomas, J.V., Stanton, G.P., and Lambert, R.B., 2012, Borehole geophysical, fluid, and hydraulic properties within and surrounding the freshwater/saline-water transition zone, San Antonio segment of the Edwards aquifer, south-central Texas, 2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5285, Report: viii, 65 p.; 3 Appendixes, https://doi.org/10.3133/sir20125285.","productDescription":"Report: viii, 65 p.; 3 Appendixes","numberOfPages":"77","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264903,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5285/pdf/sir2012-5285-app2.pdf","text":"Appendix 2"},{"id":264904,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5285/pdf/sir2012-5285-app3.pdf","text":"Appendix 3"},{"id":264905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5285.gif"},{"id":264902,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5285/downloads/sir2012-5285-app1.xlsx","text":"Appendix 1"},{"id":264900,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5285/"},{"id":264901,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5285/pdf/sir2012-5285.pdf"}],"scale":"250000","projection":"Universal Transverse Mercator projection, Zone 14","datum":"North American Datum of 1927","country":"United States","state":"Texas","county":"Atascosa County, Bexar County, Caldwell County, Comal County, Frio County, Guadalupe County, Hays County, Kinney County, Maverick County, Medina County, Travis County, Uvalde County, Wilson County, Zavala County","city":"San Antonio","otherGeospatial":"Edwards Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.75,28.5 ], [ -100.75,30.25 ], [ -97.25,30.25 ], [ -97.25,28.5 ], [ -100.75,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe5e4b0a4aa5bb0ae90","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Gregory P. 0000-0001-8622-0933 gstanton@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-0933","contributorId":1583,"corporation":false,"usgs":true,"family":"Stanton","given":"Gregory","email":"gstanton@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":471022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042219,"text":"sir20125283 - 2012 - Floods of June 2012 in northeastern Minnesota","interactions":[],"lastModifiedDate":"2012-12-28T14:06:05","indexId":"sir20125283","displayToPublicDate":"2012-12-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5283","title":"Floods of June 2012 in northeastern Minnesota","docAbstract":"During June 19–20, 2012, heavy rainfall, as much as 10 inches locally reported, caused severe flooding across northeastern Minnesota. The floods were exacerbated by wet antecedent conditions from a relatively rainy spring, with May 2012 as one of the wettest Mays on record in Duluth. The June 19–20, 2012, rainfall event set new records in Duluth, including greatest 2-day precipitation with 7.25 inches of rain. The heavy rains fell on three major watersheds: the Mississippi Headwaters; the St. Croix, which drains to the Mississippi River; and Western Lake Superior, which includes the St. Louis River and other tributaries to Lake Superior. Widespread flash and river flooding that resulted from the heavy rainfall caused evacuations of residents, and damages to residences, businesses, and infrastructure. In all, nine counties in northeastern Minnesota were declared Federal disaster areas as a result of the flooding. Peak-of-record streamflows were recorded at 13 U.S. Geological Survey streamgages as a result of the heavy rainfall. Flood-peak gage heights, peak streamflows, and annual exceedance probabilities were tabulated for 35 U.S. Geological Survey streamgages. Flood-peak streamflows in June 2012 had annual exceedance probabilities estimated to be less than 0.002 (0.2 percent; recurrence interval greater than 500 years) for five streamgages, and between 0.002 and 0.01 (1 percent; recurrence interval greater than 100 years) for four streamgages. High-water marks were identified and tabulated for the most severely affected communities of Barnum (Moose Horn River), Carlton (Otter Creek), Duluth Heights neighborhood of Duluth (Miller Creek), Fond du Lac neighborhood of Duluth (St. Louis River), Moose Lake (Moose Horn River and Moosehead Lake), and Thomson (Thomson Reservoir outflow near the St. Louis River). Flood-peak inundation maps and water-surface profiles were produced for these six severely affected communities. The inundation maps were constructed in a geographic information system by combining high-water-mark data with high-resolution digital elevation model data. The flood maps and profiles show the extent and depth of flooding through the communities and can be used for flood response and recovery efforts by local, county, State, and Federal agencies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125283","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency.  The Downloads Directory contains the 6 figures from Appendix 2.  For more information, see the \"View companion files\" link above.","usgsCitation":"Czuba, C.R., Fallon, J.D., and Kessler, E.W., 2012, Floods of June 2012 in northeastern Minnesota: U.S. Geological Survey Scientific Investigations Report 2012-5283, Report: vi, 42 p.; Downloads Directory, https://doi.org/10.3133/sir20125283.","productDescription":"Report: vi, 42 p.; Downloads Directory","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-06-19","temporalEnd":"2012-06-20","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":264894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5283.gif"},{"id":264893,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5283/downloads/"},{"id":264891,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5283/"},{"id":264892,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5283/sir2012-5283.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 15","country":"United States","state":"Minnesota","county":"Aitkin;Carlton;Cass;Cook;Crow Wing;Itasca;Lake;Pine;St. Louis","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0,45.5 ], [ -95.0,48.75 ], [ -89.0,48.75 ], [ -89.0,45.5 ], [ -95.0,45.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cffde4b0a4aa5bb0aef9","contributors":{"authors":[{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fallon, James D. jfallon@usgs.gov","contributorId":3417,"corporation":false,"usgs":true,"family":"Fallon","given":"James","email":"jfallon@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":471014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kessler, Erich W. 0000-0002-0869-4743 ekessler@usgs.gov","orcid":"https://orcid.org/0000-0002-0869-4743","contributorId":2871,"corporation":false,"usgs":true,"family":"Kessler","given":"Erich","email":"ekessler@usgs.gov","middleInitial":"W.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471013,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042073,"text":"70042073 - 2012 - Using spatially detailed water-quality data and solute-transport modeling to improve support total maximum daily load development","interactions":[],"lastModifiedDate":"2017-01-17T10:35:43","indexId":"70042073","displayToPublicDate":"2012-12-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Using spatially detailed water-quality data and solute-transport modeling to improve support total maximum daily load development","docAbstract":"Spatially detailed mass-loading studies and solute-transport modeling using OTIS (One-dimensional Transport with Inflow and Storage) demonstrate how natural attenuation and loading from distinct and diffuse sources control stream water quality and affect load reductions predicted in total maximum daily loads (TMDLs). Mass-loading data collected during low-flow from Cement Creek (a low-pH, metal-rich stream because of natural and mining sources, and subject to TMDL requirements) were used to calibrate OTIS and showed spatially variable effects of natural attenuation (instream reactions) and loading from diffuse (groundwater) and distinct sources. OTIS simulations of the possible effects of TMDL-recommended remediation of mine sites showed less improvement to dissolved zinc load and concentration (14% decrease) than did the TMDL (53-63% decrease). The TMDL (1) assumed conservative transport, (2) accounted for loads removed by remediation by subtracting them from total load at the stream mouth, and (3) did not include diffuse-source loads. In OTIS, loads were reduced near their source; the resulting concentration was decreased by natural attenuation and increased by diffuse-source loads during downstream transport. Thus, by not including natural attenuation and loading from diffuse sources, the TMDL overestimated remediation effects at low flow. Use of the techniques presented herein could improve TMDLs by incorporating these processes during TMDL development.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1752-1688.2012.00662.x","usgsCitation":"Walton-Day, K., Runkel, R.L., and Kimball, B.A., 2012, Using spatially detailed water-quality data and solute-transport modeling to improve support total maximum daily load development: Journal of the American Water Resources Association, v. 48, no. 5, p. 949-969, https://doi.org/10.1111/j.1752-1688.2012.00662.x.","productDescription":"21 p.","startPage":"949","endPage":"969","ipdsId":"IP-027724","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":264814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-31","publicationStatus":"PW","scienceBaseUri":"50e5650ce4b0a4aa5bb04b66","contributors":{"authors":[{"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":470740,"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":470739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":470738,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042153,"text":"sir20125264 - 2012 - Availability and distribution of low flow in Anahola Stream, Kauaʻi, Hawaiʻi","interactions":[],"lastModifiedDate":"2012-12-27T15:47:41","indexId":"sir20125264","displayToPublicDate":"2012-12-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5264","title":"Availability and distribution of low flow in Anahola Stream, Kauaʻi, Hawaiʻi","docAbstract":"Anahola Stream is a perennial stream in northeast Kauaʻi, Hawaiʻi, that supports agricultural, domestic, and cultural uses within its drainage basin. Beginning in the late 19th century, Anahola streamflow was diverted by Makee Sugar Company at altitudes of 840 feet (upper intake) and 280 feet (lower intake) for irrigating sugarcane in the Keālia area. When sugarcane cultivation in the Keālia area ceased in 1988, part of the Makee Sugar Company’s surface-water collection system (Makee diversion system) in the Anahola drainage basin was abandoned. In an effort to better manage available surface-water resources, the State of Hawaiʻi Department of Hawaiian Home Lands is considering using the existing ditches in the Anahola Stream drainage basin to provide irrigation water for Native Hawaiian farmers in the area. To provide information needed for successful management of the surface-water resources, the U.S. Geological Survey investigated the availability and distribution of natural low flow in Anahola Stream and also collected low-flow data in Goldfish Stream, a stream that discharges into Kaneha Reservoir, which served as a major collection point for the Makee diversion system. Biological surveys of Anahola Stream were conducted as part of a study to determine the distribution of native and nonnative aquatic stream fauna. Results of the biological surveys indicated the presence of the following native aquatic species in Anahola Stream: ʻoʻopu ʻakupa (Sandwich Island sleeper) and ʻoʻopu naniha (Tear-drop goby) in the lower stream reaches surveyed; and ʻoʻopu nākea (Pacific river goby), ʻoʻopu nōpili (Stimpson’s goby), and ʻōpae kalaʻole (Mountain shrimp) in the middle and upper stream reaches surveyed. Nonnative aquatic species were found in all of the surveyed stream reaches along Anahola Stream. The availability and distribution of natural low flow were determined using a combination of discharge measurements made from February 2011 to May 2012 at low-flow partial-record and seepage-run stations established at locations of interest along study-area streams. Upstream of the upper intake, the estimated natural (undiverted) median flow in Anahola Stream is 2.7 million gallons per day, and the flow is expected to be greater than or equal to 0.97 million gallons per day 95 percent of the time. About 0.7 mile upstream of the lower intake and downstream from the confluence with Keaʻoʻopu Stream, the estimated natural (undiverted) median flow in Anahola Stream is 6.3 million gallons per day, and the flow is expected to be greater than or equal to 2.7 million gallons per day 95 percent of the time. In Goldfish Stream, about 0.4 mile upstream from the point of discharge into Kaneha Reservoir, the estimated natural median flow is 0.54 million gallons per day, and the flow is expected to be greater than or equal to 0.23 million gallons per day 95 percent of the time. The discharge estimates are representative of low-flow conditions in the study-area streams, and they are applicable to the base period (water years 1961–2011) over which they have been computed. The distribution of natural low flow in Anahola Stream was characterized through data collected during wet- and dry-season seepage runs. Seepage-run results show that Anahola Stream was generally a gaining stream under natural low-flow conditions. During the wet-season seepage run, Anahola Stream at the station located upstream of tributary Kaʻalula Stream had more than five times the flow that was measured upstream from the upper intake. The estimated total gain (including tributary inflow) in the 6.1-mile seepage-run reach was 6.97 million gallons per day; about 42 percent of that gain was groundwater discharge to the main channel of Anahola Stream. During the dry-season seepage run, about 34 percent of the estimated total gain of 3.93 million gallons per day in the same seepage-run reach was groundwater discharge to the main channel of Anahola Stream. A 15-percent seepage loss was estimated in a 0.3-mile reach downstream from the confluence of Anahola and Keaʻoʻopu Streams. The report summarizes scenarios that describe (1) surface-water availability under regulated conditions of Anahola Stream if the upper and lower intakes are restored in the future; and (2) amount of flow available for agricultural use at the upper intake under a variety of potential instream-flow standards that may be established by the State of Hawaiʻi for the protection of instream uses.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125264","collaboration":"Prepared in cooperation with the State of Hawaiʻi Department of Hawaiian Home Lands","usgsCitation":"Cheng, C.L., and Wolff, R.H., 2012, Availability and distribution of low flow in Anahola Stream, Kauaʻi, Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2012-5264, vi, 32 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125264.","productDescription":"vi, 32 p.; col. ill.; maps (col.)","startPage":"i","endPage":"32","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":264844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5264.jpg"},{"id":264842,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5264/"},{"id":264843,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5264/pdf/sir20125264.pdf"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kauai;Anahola Stream","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.411332,22.135045 ], [ -159.411332,22.15004 ], [ -159.313228,22.15004 ], [ -159.313228,22.135045 ], [ -159.411332,22.135045 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe4e4b0a4aa5bb0ae88","contributors":{"authors":[{"text":"Cheng, Chui Ling 0000-0003-2396-2571 ccheng@usgs.gov","orcid":"https://orcid.org/0000-0003-2396-2571","contributorId":3926,"corporation":false,"usgs":true,"family":"Cheng","given":"Chui","email":"ccheng@usgs.gov","middleInitial":"Ling","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolff, Reuben H.","contributorId":35020,"corporation":false,"usgs":true,"family":"Wolff","given":"Reuben","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":470855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041940,"text":"70041940 - 2012 - Timing of large earthquakes during the past 500 years along the Santa Cruz Mountains segment of the San Andreas fault at Mill Canyon, near Watsonville, California","interactions":[],"lastModifiedDate":"2012-12-26T15:39:50","indexId":"70041940","displayToPublicDate":"2012-12-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Timing of large earthquakes during the past 500 years along the Santa Cruz Mountains segment of the San Andreas fault at Mill Canyon, near Watsonville, California","docAbstract":"A paleoseismic investigation across the Santa Cruz Mountains section of the San Andreas fault at Mill Canyon indicates that four surface‐rupturing earthquakes have occurred there during the past ~500  years. At this site, right‐lateral fault slip has moved a low shutter ridge across the mouth of the canyon, ponding latest Holocene sediments. These alluvial deposits are deformed along a narrow zone of faulting. There is excellent evidence for a 1906 (M 7.8) and three earlier earthquakes consisting of well‐developed fissures, scarps, and colluvial wedges. Deformation resulting from the earlier earthquakes is comparable to that from 1906, suggesting they also were large‐magnitude events. The earthquake prior to 1906 occurred either about A.D. 1750 (1711–1770) or A.D. 1855 (1789–1904), depending on assumptions incorporated into two alternative OxCal models. If the later age range is correct, then the earthquake may have been a historical early‐to‐mid‐nineteenth‐century earthquake, possibly the A.D. 1838 earthquake. Both models are viable, and there is no way to select one over the other with the available data. Two earlier earthquakes occurred about A.D. 1690 (1660–1720) and A.D. 1522 (1454–1605). Using OxCal, recalculation of the age of the reported penultimate earthquake reported from the Grizzly Flat site, located about 10 km northwest of Mill Canyon, indicates it occurred about A.D. 1105–1545, earlier than any of the past three earthquakes, and possibly correlates to the fourth earthquake at Mill Canyon.","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":"El Cerrito, CA","doi":"10.1785/0120110161","usgsCitation":"Fumal, T.E., 2012, Timing of large earthquakes during the past 500 years along the Santa Cruz Mountains segment of the San Andreas fault at Mill Canyon, near Watsonville, California: Bulletin of the Seismological Society of America, v. 102, no. 3, p. 1099-1119, https://doi.org/10.1785/0120110161.","productDescription":"21 p.","startPage":"1099","endPage":"1119","ipdsId":"IP-026483","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":264801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264800,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110161"}],"country":"United States","state":"California","city":"Watsonville","otherGeospatial":"Mill Canyon;San Andreas Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.69,36.94 ], [ -121.69,36.96 ], [ -121.67,36.96 ], [ -121.67,36.94 ], [ -121.69,36.94 ] ] ] } } ] }","volume":"102","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-05","publicationStatus":"PW","scienceBaseUri":"50e55067e4b0a4aa5bb0195e","contributors":{"authors":[{"text":"Fumal, Thomas E.","contributorId":67882,"corporation":false,"usgs":true,"family":"Fumal","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":470419,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042089,"text":"70042089 - 2012 - Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses","interactions":[],"lastModifiedDate":"2012-12-25T17:04:40","indexId":"70042089","displayToPublicDate":"2012-12-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses","docAbstract":"Much is known about invertebrate community traits in basins across Europe, but no comprehensive description of traits exists for the continental US. Little is known about the trait composition of invertebrates in reference or least-disturbed basins of the US, how trait composition varies among ecoregions, or how consistently traits respond to land use. These elements are essential to development of trait-based tools for conservation and assessment of biological integrity. We compared invertebrate traits of least-disturbed basins among ecoregions of the US. Benthic invertebrate data (presence/absence) from 1987 basins were translated into 56 binary traits (e.g., bivoltine, clinger). Basins were classified as least-disturbed, agricultural, or urban, and grouped into 9 ecoregions. Landuse, climatic, physiographic, and hydrologic data were used to describe ecoregions and to evaluate least-disturbed basin quality. The unique habitat template of each ecoregion selected for trait compositions in least-disturbed basins that differed among ecoregions. Among the traits examined, life-history (e.g., voltinism, development) and ecological traits (e.g., rheophily, thermal preference) differed most among ecoregions. Agricultural and urban land uses selected for trait compositions that differed from least-disturbed, but the extent of the differences depended on ecoregion and quality of the least-disturbed basins. No trait compositions unique to specific land uses were found. However, a <i>disturbance syndrome</i> was observed in that the magnitude and direction of trait responses to urban and agricultural land uses were consistent among ecoregions. Each ecoregion had a unique trait composition, but trait compositions could be used to aggregate ecoregions into 3 broad regions: Western Mountains, Plains and Lowlands, and Eastern Highlands. Our results indicate that large-scale trait-based assessment tools for the US will require calibration to account for regional differences in the trait composition of basins and in the quality of least-disturbed basins.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Freshwater Science","publisherLocation":"Waco, TX","doi":"10.1899/11-150.1","usgsCitation":"Zuellig, R.E., and Schmidt, T., 2012, Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses: Freshwater Science, v. 31, no. 4, p. 1042-1056, https://doi.org/10.1899/11-150.1.","productDescription":"15 p.","startPage":"1042","endPage":"1056","ipdsId":"IP-029576","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":474190,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/11-150.1","text":"External Repository"},{"id":264774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264772,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-150.1"},{"id":264773,"type":{"id":11,"text":"Document"},"url":"https://www.bioone.org/doi/pdf/10.1899/11-150.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfe7e4b0a4aa5bb0ae9c","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":470756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042060,"text":"70042060 - 2012 - A vectorial capacity product to monitor changing malaria transmission potential in epidemic regions of Africa","interactions":[],"lastModifiedDate":"2012-12-25T12:40:33","indexId":"70042060","displayToPublicDate":"2012-12-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2488,"text":"Journal of Tropical Medicine","active":true,"publicationSubtype":{"id":10}},"title":"A vectorial capacity product to monitor changing malaria transmission potential in epidemic regions of Africa","docAbstract":"Rainfall and temperature are two of the major factors triggering malaria epidemics in warm semi-arid (desert-fringe) and high altitude (highland-fringe) epidemic risk areas. The ability of the mosquitoes to transmit <i>Plasmodium</i> spp. is dependent upon a series of biological features generally referred to as vectorial capacity. In this study, the vectorial capacity model (VCAP) was expanded to include the influence of rainfall and temperature variables on malaria transmission potential. Data from two remote sensing products were used to monitor rainfall and temperature and were integrated into the VCAP model. The expanded model was tested in Eritrea and Madagascar to check the viability of the approach. The analysis of VCAP in relation to rainfall, temperature and malaria incidence data in these regions shows that the expanded VCAP correctly tracks the risk of malaria both in regions where rainfall is the limiting factor and in regions where temperature is the limiting factor. The VCAP maps are currently offered as an experimental resource for testing within Malaria Early Warning applications in epidemic prone regions of sub-Saharan Africa. User feedback is currently being collected in preparation for further evaluation and refinement of the VCAP model.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Tropical Medicine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","publisherLocation":"Cairo, Egypt","doi":"10.1155/2012/595948","usgsCitation":"Ceccato, P., Vancutsem, C., Klaver, R., Rowland, J., and Connor, S.J., 2012, A vectorial capacity product to monitor changing malaria transmission potential in epidemic regions of Africa: Journal of Tropical Medicine, v. 2012, p. 1-6, https://doi.org/10.1155/2012/595948.","productDescription":"Article ID 595948: 6 p.","startPage":"1","endPage":"6","onlineOnly":"Y","ipdsId":"IP-033377","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474189,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2012/595948","text":"Publisher Index Page"},{"id":264765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264763,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1155/2012/595948"},{"id":264764,"type":{"id":11,"text":"Document"},"url":"https://downloads.hindawi.com/journals/jtm/2012/595948.pdf"}],"otherGeospatial":"Africa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -26.6,37.5 ], [ -26.6,38.0 ], [ 60.6,38.0 ], [ 60.6,37.5 ], [ -26.6,37.5 ] ] ] } } ] }","volume":"2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cfd9e4b0a4aa5bb0ae58","contributors":{"authors":[{"text":"Ceccato, Pietro","contributorId":64126,"corporation":false,"usgs":true,"family":"Ceccato","given":"Pietro","email":"","affiliations":[],"preferred":false,"id":470700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vancutsem, Christelle","contributorId":71085,"corporation":false,"usgs":true,"family":"Vancutsem","given":"Christelle","email":"","affiliations":[],"preferred":false,"id":470702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert 0000-0002-3263-9701","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":66148,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"","affiliations":[],"preferred":false,"id":470701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connor, Stephen J.","contributorId":104370,"corporation":false,"usgs":true,"family":"Connor","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470703,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041997,"text":"70041997 - 2012 - Mercury dynamics in a San Francisco estuary tidal wetland: assessing dynamics using in situ measurements","interactions":[],"lastModifiedDate":"2012-12-23T22:06:29","indexId":"70041997","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Mercury dynamics in a San Francisco estuary tidal wetland: assessing dynamics using in situ measurements","docAbstract":"We used high-resolution in situ measurements of turbidity and fluorescent dissolved organic matter (FDOM) to quantitatively estimate the tidally driven exchange of mercury (Hg) between the waters of the San Francisco estuary and Browns Island, a tidal wetland. Turbidity and FDOM—representative of particle-associated and filter-passing Hg, respectively—together predicted 94 % of the observed variability in measured total mercury concentration in unfiltered water samples (UTHg) collected during a single tidal cycle in spring, fall, and winter, 2005–2006. Continuous in situ turbidity and FDOM data spanning at least a full spring-neap period were used to generate UTHg concentration time series using this relationship, and then combined with water discharge measurements to calculate Hg fluxes in each season. Wetlands are generally considered to be sinks for sediment and associated mercury. However, during the three periods of monitoring, Browns Island wetland did not appreciably accumulate Hg. Instead, gradual tidally driven export of UTHg from the wetland offset the large episodic on-island fluxes associated with high wind events. Exports were highest during large spring tides, when ebbing waters relatively enriched in FDOM, dissolved organic carbon (DOC), and filter-passing mercury drained from the marsh into the open waters of the estuary. On-island flux of UTHg, which was largely particle-associated, was highest during strong winds coincident with flood tides. Our results demonstrate that processes driving UTHg fluxes in tidal wetlands encompass both the dissolved and particulate phases and multiple timescales, necessitating longer term monitoring to adequately quantify fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-012-9501-3","usgsCitation":"Bergamaschi, B., Fleck, J., Downing, B.D., Boss, E., Pellerin, B., Ganju, N., Schoellhamer, D., Byington, A.A., Heim, W.A., Stephenson, M., and Fujii, R., 2012, Mercury dynamics in a San Francisco estuary tidal wetland: assessing dynamics using in situ measurements: Estuaries and Coasts, v. 35, no. 4, p. 1036-1048, https://doi.org/10.1007/s12237-012-9501-3.","productDescription":"13 p.","startPage":"1036","endPage":"1048","ipdsId":"IP-031681","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-012-9501-3","text":"Publisher Index Page"},{"id":264756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264755,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-012-9501-3"}],"country":"United States","state":"California","county":"Solano County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.407,38.0319 ], [ -122.407,38.5403 ], [ -121.5933,38.5403 ], [ -121.5933,38.0319 ], [ -122.407,38.0319 ] ] ] } } ] }","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-04-03","publicationStatus":"PW","scienceBaseUri":"50e02c57e4b0fec3206ea99f","contributors":{"authors":[{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":470564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":1498,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob A.","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":470560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boss, Emmanuel","contributorId":10143,"corporation":false,"usgs":true,"family":"Boss","given":"Emmanuel","affiliations":[],"preferred":false,"id":470561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pellerin, Brian A.","contributorId":58385,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[],"preferred":false,"id":470563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":470565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470558,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byington, Amy A.","contributorId":107998,"corporation":false,"usgs":true,"family":"Byington","given":"Amy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470567,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heim, Wesley A.","contributorId":103548,"corporation":false,"usgs":true,"family":"Heim","given":"Wesley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470566,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stephenson, Mark","contributorId":56951,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":470562,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fujii, Roger rfujii@usgs.gov","contributorId":553,"corporation":false,"usgs":true,"family":"Fujii","given":"Roger","email":"rfujii@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":470557,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70042056,"text":"70042056 - 2012 - Establishing water body areal extent trends in interior Alaska from multi-temporal Landsat data","interactions":[],"lastModifiedDate":"2012-12-23T22:41:06","indexId":"70042056","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Establishing water body areal extent trends in interior Alaska from multi-temporal Landsat data","docAbstract":"An accurate approach is needed for monitoring, quantifying and understanding surface water variability due to climate change. Separating inter- and intra-annual variances from longer-term shifts in surface water extents due to contemporary climate warming requires repeat measurements spanning a several-decade period. Here, we show that trends developed from multi-date measurements of the extents of more than 15,000 water bodies in central Alaska using Landsat Multispectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data (1979–2009) were highly influenced by the quantity and timing of the data. Over the 30-year period from 1979 to 2009, the study area had a net decrease (<i>p</i> < 0.05) in the extents of 3.4% of water bodies whereas 86% of water bodies exhibited no significant change. The Landsat-derived dataset provides an opportunity for additional research assessing the drivers of lake and wetland change in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/01431161.2011.643507","usgsCitation":"Rover, J.R., Ji, L., Wylie, B.K., and Tieszen, L.L., 2012, Establishing water body areal extent trends in interior Alaska from multi-temporal Landsat data: Remote Sensing Letters, v. 3, no. 7, p. 595-604, https://doi.org/10.1080/01431161.2011.643507.","productDescription":"10 p.","startPage":"595","endPage":"604","ipdsId":"IP-030841","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":264761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264708,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2011.643507"}],"country":"United States","state":"Alaska","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":"3","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-12-22","publicationStatus":"PW","scienceBaseUri":"50db7523e4b061270600ba7b","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":470695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":470694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":470692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":470693,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042121,"text":"ds738 - 2012 - Surface-water quality in the upper San Antonio River Basin, Bexar County, Texas, 1992-98","interactions":[],"lastModifiedDate":"2016-08-05T14:28:24","indexId":"ds738","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"738","title":"Surface-water quality in the upper San Antonio River Basin, Bexar County, Texas, 1992-98","docAbstract":"<p>The potential effects of chemicals in rivers and streams on human health or the ecology have long been a source of concern to water managers. Chemicals in rivers may result from natural or anthropogenic sources (such as industrial or residential practices) which are commonly associated with urbanized watersheds. The U.S. Geological Survey, in cooperation with the San Antonio Water System, examined water-quality data collected from periodic and stormflow sampling events at five sites in the upper San Antonio River Basin during 1992&ndash;98. These water-quality data were compared among sites as well as between periodic and stormflow events. The samples were collected from five continuous streamflow-gaging stations in Bexar County, Texas. Samples were analyzed for major ions, nutrients, trace elements, and organic compounds, including selected pesticides.</p>\n<p>The reported concentrations for the measured constituents varied among sites as well as between periodic and stormflow samples. Patterns for some constituents, such as nutrients, were observed; however, consistent patterns were not always observed for all analytes. For example, median concentrations for filtered ammonia, nitrate plus nitrite, organic nitrogen, and phosphorus generally were greater in periodic samples collected from the Medina and SAR Elmendorf sites as compared to samples collected from the other sites. Median concentrations of trace elements measured in periodic samples were generally less than concentrations measured in stormflow samples. In general, most of the concentrations of analyzed organic compounds were less than the laboratory reporting levels.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds738","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Banta, J., Slattery, R.N., and Crow, C.L., 2012, Surface-water quality in the upper San Antonio River Basin, Bexar County, Texas, 1992-98: U.S. Geological Survey Data Series 738, Document: iv, 60 p.; Appendixes 1-3, https://doi.org/10.3133/ds738.","productDescription":"Document: iv, 60 p.; Appendixes 1-3","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"1998-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":264750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_738.png"},{"id":264748,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/738/downloads/ds738_app2.xlsx","text":"Appendix 2"},{"id":264749,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/738/downloads/ds738_app3.xlsx","text":"Appendix 3"},{"id":264747,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/738/downloads/ds738_app1.xlsx","text":"Appendix 1"},{"id":264745,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/738/pdf/ds738.pdf"},{"id":264746,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/738/"}],"country":"United States","state":"Texas","county":"Bexar County","otherGeospatial":"San Antonio River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8056,29.1104 ], [ -98.8056,29.7606 ], [ -98.1193,29.7606 ], [ -98.1193,29.1104 ], [ -98.8056,29.1104 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4eb3de4b0e8fec6ce631f","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":78863,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","affiliations":[],"preferred":false,"id":470802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470800,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}