These remotely sensed, geographically referenced elevation measurements of lidar-derived first-surface (FS) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.
\nThis project provides highly detailed and accurate datasets for a portion of the New Jersey coastline beachface, acquired pre-Hurricane Sandy on October 26, and post-Hurricane Sandy on November 1 and November 5, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar system, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map nearshore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.
\nElevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.
\nFor more information about similar projects, please visit the Lidar for Science and Resource Management Web site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds767","usgsCitation":"Wright, C.W., Fredericks, X., Troche, R.J., Klipp, E.S., Kranenburg, C., and Nagle, D.B., 2014, EAARL-B coastal topography: eastern New Jersey, Hurricane Sandy, 2012: first surface (Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1): U.S. Geological Survey Data Series 767, HTML Document, https://doi.org/10.3133/ds767.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-045296","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":290337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds767.jpg"},{"id":290331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/767/"},{"id":290336,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/767/html/home.html"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.0504,38.8964 ], [ -75.0504,40.5775 ], [ -73.4996,40.5775 ], [ -73.4996,38.8964 ], [ -75.0504,38.8964 ] ] ] } } ] }","edition":"Originally posted July 15, 2014; Revised and reposted August 18, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd55f9e4b0b290850f6a2d","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":494222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredericks, Xan","contributorId":35704,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","affiliations":[],"preferred":false,"id":494221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kranenburg, Christine J.","contributorId":91412,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","affiliations":[],"preferred":false,"id":494223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":494219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70115405,"text":"70115405 - 2014 - Status and trends of Caribbean coral reefs: 1970-2012","interactions":[],"lastModifiedDate":"2019-06-04T13:06:40","indexId":"70115405","displayToPublicDate":"2014-07-02T09:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Status and trends of Caribbean coral reefs: 1970-2012","docAbstract":"This it the 9th status report since the Global Coral Reef Monitoring Network (GCRMN) was founded in 1995 was the data arm of the International Coral Reef Initiative (ICRI) to document the ecological condition or corral reefs, strengthen monitoring efforts, and link existing organizations and people working on reefs worldwide. The US Government provided the initial funding to help set up a global network of coral reef workers and has continued to provide core support. Since then, the series of reports have aimed to present the current status of coral reefs of the world or particular regions, the major threats to reefs and their consequences, and any initiative undertaken under the auspices of ICRI or other bodies to arrest or reverse the decline of coral reefs.
IUCN assumed responsibility for hosting the global coordination of the GCRMN in 2010 under the scientific direction of Jeremy Jackson with the following objectives:
1. Document quantitatively the global status and trends for corals, macroalgae, sea urchins, and fishes based on available data from individual scientists as well as the peer reviewed scientific literature, monitoring programs, and report.
2. Bring together regional experts in a series of workshops to involve them in data compilation, analysis, and synthesis.
3. Integrate coral reef status and trends with independent environmental, management, and socioeconomic data to better understand the primary factors responsible for coral reef decline, the possible synergies among factors that may further magnify their impacts, and how these stresses may be more effectively alleviated.
Work with GCRMN partners to establish simple and practical standardized protocols for future monitoring and assessment.
Disseminate information and results to help guide member state policy and actions.
The overarching objective is to understand why some reefs are much healthier than others, to identify what kinds of actions have been particularly beneficial or harmful, and to vigorously communicate results in simple and straightforward terms to foster more effective conservation and management.
This and subsequent reports will focus on separate biogeographic regions in a stepwise fashion and combine all of the results for a global synthesis in the coming years. We began in the wide Caribbean region because the historical data are so extensive and to refine methods of analysis before moving on to other regions. This report documents quantitative trends for Caribbean reef corals, macroalgae, sea urchins, and fishes based on data from 90 reef locations over the past 43 tears. This is the first report to combine all these disparate kinds of data in a single place to explore how the different major components of coral reef ecosystems interact on a broadly regional oceanic scale.
We obtained data from more than 35,000 ecological surveys carried out by 78 principal investigators (PIs) and some 200 colleagues working in 34 countries, states, and territories throughout the wide Caribbean region. We conducted two workshops in Panama and Brisbane, Australia to bring together people who provided the data to assist in data quality control, analysis, and synthesis. The first workshop at the Smithsonian Tropical Research Institute (STRI) in the Republic of Panama 29 April to 5 May, 2012 included scientists from 18 countries and territories to verify and expand the database and to conduct exploratory analyses of status and trends. Preliminary results based on the Panama workshop were presented to the DC Marine Community and Smithsonian Institution Senate of Scientists in May 2012 and at the International Coral Reef Symposium (ICRS) and annual ICRI meeting in Cairns, Australia in July 2012. The second workshop in Brisbane, Australia in December 2012 brought together eight coral reef scientists for more detailed data analysis and organization of results for this report and subsequent publications. Subsequent presentations to solicit comments while the report was being finalized were made in 2013-2014 at the ICRI General meeting in Belize, the biennial meeting of the Association of Island Marine Laboratories in Jamaica, the Panamerican Coral Reef Congress in Merida, Mexico, the annual meeting of he Western Society of Naturalists, and numerous universities in Costa Rica, the USA and Europe.
The main body of the report is in two sections. Part I provides an overview of overall status and trends and detailed analyses of the multiple factors responsible for the decline of reef corals throughout the entire wider Caribbean region. The editors are grateful to all the people who have so generously provided data and expertise, but we assume responsibility for the many statements, conclusions and recommendations and final wording of the text. Part II provides a more detailed analysis of the status and trends of coral reef ecosystems in the 32 countries, states, and territories for which we have data. The format includes maps indicating all locations sampled, a detailed table of data sources and sites surveyed, timelines of ecologically important evens, and relevant references. Each of these reports was compiled in consultation with local experts and all those who provided data and advice are listed as authors of each country report.
","language":"English","publisher":"Global Coral Reef Monitoring Network","publisherLocation":"Washington, D.C.","usgsCitation":"2014, Status and trends of Caribbean coral reefs: 1970-2012, 304 p.","productDescription":"304 p.","numberOfPages":"306","ipdsId":"IP-052859","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":289451,"type":{"id":24,"text":"Thumbnail"},"url":"https://www.icriforum.org/icri-documents/icri-publications-reports-and-posters/status-and-trends-caribbean-coral-reefs-1970-20"},{"id":293054,"type":{"id":15,"text":"Index Page"},"url":"https://www.iucn.org/content/status-and-trends-caribbean-coral-reefs-1970-2012"}],"otherGeospatial":"Caribbean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.17,9.99 ], [ -85.17,27.26 ], [ -59.42,27.26 ], [ -59.42,9.99 ], [ -85.17,9.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc184e4b084059e8bfefc","contributors":{"editors":[{"text":"Jackson, Jeremy","contributorId":10331,"corporation":false,"usgs":true,"family":"Jackson","given":"Jeremy","affiliations":[],"preferred":false,"id":695437,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Donovan, Mary","contributorId":78648,"corporation":false,"usgs":true,"family":"Donovan","given":"Mary","affiliations":[],"preferred":false,"id":695438,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Cramer, Katie","contributorId":41341,"corporation":false,"usgs":true,"family":"Cramer","given":"Katie","email":"","affiliations":[],"preferred":false,"id":695439,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Lam, Vivian","contributorId":44076,"corporation":false,"usgs":true,"family":"Lam","given":"Vivian","email":"","affiliations":[],"preferred":false,"id":695440,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}} ,{"id":70117448,"text":"70117448 - 2014 - Geologic history of Siletzia, a large igneous province in the Oregon and Washington Coast Range: Correlation to the geomagnetic polarity time scale and implications for a long-lived Yellowstone hotspot","interactions":[],"lastModifiedDate":"2023-05-26T13:33:57.393233","indexId":"70117448","displayToPublicDate":"2014-07-01T11:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geologic history of Siletzia, a large igneous province in the Oregon and Washington Coast Range: Correlation to the geomagnetic polarity time scale and implications for a long-lived Yellowstone hotspot","docAbstract":"Siletzia is a basaltic Paleocene and Eocene large igneous province in coastal Oregon, Washington, and southern Vancouver Island that was accreted to North America in the early Eocene. New U-Pb magmatic, detrital zircon, and 40Ar/39Ar ages constrained by detailed field mapping, global nannoplankton zones, and magnetic polarities allow correlation of the volcanics with the 2012 geologic time scale. The data show that Siletzia was rapidly erupted 56–49 Ma, during the Chron 25–22 plate reorganization in the northeast Pacific basin. Accretion was completed between 51 and 49 Ma in Oregon, based on CP11 (CP—Coccolith Paleogene zone) coccoliths in strata overlying onlapping continental sediments. Magmatism continued in the northern Oregon Coast Range until ca. 46 Ma with the emplacement of a regional sill complex during or shortly after accretion. Isotopic signatures similar to early Columbia River basalts, the great crustal thickness of Siletzia in Oregon, rapid eruption, and timing of accretion are consistent with offshore formation as an oceanic plateau. Approximately 8 m.y. after accretion, margin parallel extension of the forearc, emplacement of regional dike swarms, and renewed magmatism of the Tillamook episode peaked at 41.6 Ma (CP zone 14a; Chron 19r). We examine the origin of Siletzia and consider the possible role of a long-lived Yellowstone hotspot using the reconstruction in GPlates, an open source plate model. In most hotspot reference frames, the Yellowstone hotspot (YHS) is on or near an inferred northeast-striking Kula-Farallon and/or Resurrection-Farallon ridge between 60 and 50 Ma. In this configuration, the YHS could have provided a 56–49 Ma source on the Farallon plate for Siletzia, which accreted to North America by 50 Ma. A sister plateau, the Eocene basalt basement of the Yakutat terrane, now in Alaska, formed contemporaneously on the adjacent Kula (or Resurrection) plate and accreted to coastal British Columbia at about the same time. Following accretion of Siletzia, the leading edge of North America overrode the YHS ca. 42 Ma. The voluminous high-Ti basaltic to alkalic magmatism of the 42–35 Ma Tillamook episode and extension in the forearc may be related to the encounter with an active YHS. Clockwise rotation of western Oregon about a pole in the backarc has since moved the Tillamook center and underlying Siletzia northward ∼250 km from the probable hotspot track on North America. In the reference frames we examined, the YHS arrives in the backarc ∼5 m.y. too early to match the 17 Ma magmatic flare-up commonly attributed to the YHS. We suggest that interaction with the subducting slab may have delayed arrival of the plume beneath the backarc.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01018.1","usgsCitation":"Wells, R., Bukry, D., Friedman, R., Pyle, D., Duncan, R., Haeussler, P.J., and Wooden, J., 2014, Geologic history of Siletzia, a large igneous province in the Oregon and Washington Coast Range: Correlation to the geomagnetic polarity time scale and implications for a long-lived Yellowstone hotspot: Geosphere, v. 10, no. 4, p. 692-719, https://doi.org/10.1130/GES01018.1.","productDescription":"28 p.","startPage":"692","endPage":"719","numberOfPages":"28","ipdsId":"IP-052697","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472904,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01018.1","text":"Publisher Index Page"},{"id":291674,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Oregon, Vancouver, Washington","otherGeospatial":"Siletzia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.0,40.0 ], [ -158.0,68.0 ], [ -114.0,68.0 ], [ -114.0,40.0 ], [ -158.0,40.0 ] ] ] } } ] }","volume":"10","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1efcbe4b0fe532be2de21","contributors":{"authors":[{"text":"Wells, Ray 0000-0002-7796-0160","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":71260,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","affiliations":[],"preferred":false,"id":495998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bukry, David 0000-0003-4540-890X","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":30980,"corporation":false,"usgs":true,"family":"Bukry","given":"David","affiliations":[],"preferred":false,"id":495995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Richard","contributorId":59363,"corporation":false,"usgs":true,"family":"Friedman","given":"Richard","affiliations":[],"preferred":false,"id":495997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyle, Douglas","contributorId":56985,"corporation":false,"usgs":true,"family":"Pyle","given":"Douglas","affiliations":[],"preferred":false,"id":495996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duncan, Robert","contributorId":74688,"corporation":false,"usgs":true,"family":"Duncan","given":"Robert","affiliations":[],"preferred":false,"id":495999,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":496000,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooden, Joe","contributorId":14313,"corporation":false,"usgs":true,"family":"Wooden","given":"Joe","affiliations":[],"preferred":false,"id":495994,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048967,"text":"sir20105090O - 2014 - Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment","interactions":[{"subject":{"id":70048967,"text":"sir20105090O - 2014 - Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment","indexId":"sir20105090O","publicationYear":"2014","noYear":false,"chapter":"O","title":"Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2022-12-22T19:41:36.072193","indexId":"sir20105090O","displayToPublicDate":"2014-07-01T10:45:00","publicationYear":"2014","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":"2010-5090","chapter":"O","title":"Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment","docAbstract":"Regional maps of phyllic and argillic hydrothermal alteration were compiled using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and logical operator algorithms. The area mapped extends from northwestern Iran to southeastern Pakistan and includes volcanic and magmatic arcs that make up the Urumieh-Dokhtar volcanic belt (UDVB), the Chagai volcanic belt (CVB), and the central part of the Alborz magmatic belt (AMB). The volcanic belts span the Zagros-Makran transform zone and the present day Baluchistan (Makran) volcanic arc. ASTER visible near infrared (VNIR) data contain three bands between 0.52 and 0.86 micrometers (μm) and the short-wave infrared (SWIR) data consist of six bands spanning 1.6 to 2.43 μm with 15-meter (m), and 30-m resolution, respectively.
\n\n
During the 8-year project, three different calibration methods were used to correct ASTER SWIR anomalies and produce ASTER calibrated reflectance data, which were then used to map hydrothermally altered rocks. Logical operators, used to map hydrothermally altered rocks, perform multiple band ratios and thresholds that can be applied to multiple ASTER scenes using a single algorithm, thus eliminating separate production and application of vegetation and dark pixel masks. Argillic and phyllic band ratio logical operators use band ratios that define the 2.17- and 2.20-μm absorption features to map kaolinite and alunite, typical in argillized rocks, and muscovite, which is a common mineral in phyllic alteration. Band thresholds for ratios in argillic and phyllic logical operator algorithms were determined by mapping known argillic and phyllic rocks at a calibration test site in Cuprite, Nevada, in the United States.
\n\n
The regional argillic and phyllic hydrothermal alteration map and geologic and deposit maps of the study area illustrate that distinct patterns of altered rocks are typically associated with certain types of mineral deposits. The central part of the UDVB contains numerous circular to elliptical patterns (1 to 5 kilometers in diameter) of mapped phyllic- and argillic-altered rocks associated with Eocene to Miocene intrusive igneous rocks, some of which host known porphyry copper deposits such as at Meiduk, Sar Cheshmeh, and Seridune in Iran. The Zagros-Makran transform zone and areas adjacent to the Saindak porphyry deposit and Taftan Volcano contain primarily phyllic-altered rocks that form linear patterns associated with extensive faulting and fractures indicative of epithermal and (or) polymetallic vein deposits.
\n\n
The ASTER alteration map and corresponding geologic maps were used to select circular to elliptical patterns of argillic- and phyllic-altered volcanic and intrusive rocks as potential porphyry copper sites. One hundred and seventy eight potential porphyry copper sites were mapped along the UDVB, and 23 sites were mapped along the CVB. The potential sites were selected to assist in further exploration and assessments of undiscovered porphyry copper deposits.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090O","usgsCitation":"Mars, J.L., 2014, Regional mapping of hydrothermally altered igneous rocks along the Urumieh-Dokhtar, Chagai, and Alborz Belts of western Asia using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and Interactive Data Language (IDL) logical operators: a tool for porphyry copper exploration and assessment: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: vi, 36 p.; 2 Appendixes; GIS package; 10 Plates: 45.03 x 44.85 inches or smaller, https://doi.org/10.3133/sir20105090O.","productDescription":"Report: vi, 36 p.; 2 Appendixes; GIS package; 10 Plates: 45.03 x 44.85 inches or smaller","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040442","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":289311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090O.jpg"},{"id":289314,"rank":15,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/SIR2010-5090-O_Appendixes_A_and_B.xlsx","text":"Appendixes A and B","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendixes A and B"},{"id":289324,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%209_FINALcomp.pdf","text":"Plate 9","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 9","linkHelpText":"Low-resolution"},{"id":289323,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%208_FINALcomp.pdf","text":"Plate 8","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 8","linkHelpText":"Low-resolution"},{"id":289322,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%207_FINALcomp.pdf","text":"Plate 7","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 7","linkHelpText":"Low-resolution"},{"id":289321,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%206_FINALcomp.pdf","text":"Plate 6","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 6","linkHelpText":"Low-resolution"},{"id":289320,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%205_FINALcomp.pdf","text":"Plate 5","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 5","linkHelpText":"Low-resolution"},{"id":289319,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%204_FINALcomp.pdf","text":"Plate 4","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 4","linkHelpText":"Low-resolution"},{"id":289315,"rank":14,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/GIS_SIR2010-5090-O.zip","text":"GIS package","linkFileType":{"id":6,"text":"zip"},"description":"GIS package"},{"id":289318,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%203_FINALcomp.pdf","text":"Plate 3","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 3","linkHelpText":"Low-resolution"},{"id":289325,"rank":13,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%2010_FINALcomp.pdf","text":"Plate 10","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 10","linkHelpText":"Low-resolution"},{"id":289317,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%202_FINALcomp.pdf","text":"Plate 2","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 2","linkHelpText":"Low-resolution"},{"id":289316,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/ChapterO_PLATE%201_FINALcomp.pdf","text":"Plate 1","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1","linkHelpText":"Low-resolution"},{"id":289312,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/","linkFileType":{"id":5,"text":"html"}},{"id":289313,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/o/pdf/sir2010-5090-O.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Universal Transverse Mercator projection","country":"Afghanistan, Armenia, Azerbaijan, Iran, Pakistan, Turkmenistan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 45.28564453125,\n 39.095962936305476\n ],\n [\n 46.8896484375,\n 39.198205348894795\n ],\n [\n 51.37207031249999,\n 36.20882309283712\n ],\n [\n 54.228515625,\n 36.61552763134925\n ],\n [\n 55.9423828125,\n 37.666429212090605\n ],\n [\n 59.39208984375,\n 36.94989178681327\n ],\n [\n 59.94140624999999,\n 31.615965936476076\n ],\n [\n 65.45654296875,\n 30.80791068136646\n ],\n [\n 64.97314453125,\n 28.20760859532738\n ],\n [\n 62.99560546875,\n 27.31321389856826\n ],\n [\n 59.150390625,\n 27.352252938063845\n ],\n [\n 56.1181640625,\n 28.22697003891834\n ],\n [\n 50.60302734375,\n 33.33970700424026\n ],\n [\n 46.9775390625,\n 35.33529320309328\n ],\n [\n 45.3076171875,\n 37.996162679728116\n ],\n [\n 45.28564453125,\n 39.095962936305476\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3ca55e4b07c5f79a7f31d","contributors":{"editors":[{"text":"Zientek, M. L.","contributorId":6118,"corporation":false,"usgs":true,"family":"Zientek","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":509635,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hammarstrom, J. M.","contributorId":34513,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509637,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Johnson, K. M.","contributorId":23513,"corporation":false,"usgs":true,"family":"Johnson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509636,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Pierce, F. W.","contributorId":55085,"corporation":false,"usgs":true,"family":"Pierce","given":"F.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":509638,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Mars, John L. jmars@usgs.gov","contributorId":3428,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":485895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70104184,"text":"sir20145082 - 2014 - Evaluation of groundwater and surface-water interactions in the Caddo Nation Tribal Jurisdictional Area, Caddo County, Oklahoma, 2010-13","interactions":[],"lastModifiedDate":"2014-06-23T13:19:50","indexId":"sir20145082","displayToPublicDate":"2014-06-23T13:07:00","publicationYear":"2014","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":"2014-5082","title":"Evaluation of groundwater and surface-water interactions in the Caddo Nation Tribal Jurisdictional Area, Caddo County, Oklahoma, 2010-13","docAbstract":"Streamflows, springs, and wetlands are important natural and cultural resources to the Caddo Nation. Consequently, the Caddo Nation is concerned about the vulnerability of the Rush Springs aquifer to overdrafting and whether the aquifer will continue to be a viable source of water to tribal members and other local residents in the future. Interest in the long-term viability of local water resources has resulted in ongoing development of a comprehensive water plan by the Caddo Nation. As part of a multiyear project with the Caddo Nation to provide information and tools to better manage and protect water resources, the U.S. Geological Survey studied the hydraulic connection between the Rush Springs aquifer and springs and streams overlying the aquifer.
\nThe Caddo Nation Tribal Jurisdictional Area is located in southwestern Oklahoma, primarily in Caddo County. Underlying the Caddo Nation Tribal Jurisdictional Area is the Permian-age Rush Springs aquifer. Water from the Rush Springs aquifer is used for irrigation, public, livestock and aquaculture, and other supply purposes. Groundwater from the Rush Springs aquifer also is withdrawn by domestic (self-supplied) wells, although domestic use was not included in the water-use summary in this report. Perennial streamflow in many streams and creeks overlying the Rush Springs aquifer, such as Cobb Creek, Lake Creek, and Willow Creek, originates from springs and seeps discharging from the aquifer.
\nThis report provides information on the evaluation of groundwater and surface-water resources in the Caddo Nation Jurisdictional Area, and in particular, information that describes the hydraulic connection between the Rush Springs aquifer and springs and streams overlying the aquifer. This report also includes data and analyses of base flow, evidence for groundwater and surface-water interactions, locations of springs and wetland areas, groundwater flows interpreted from potentiometric-surface maps, and hydrographs of water levels monitored in the Caddo Nation Tribal Jurisdictional Area from 2010 to 2013.
\nFlow in streams overlying the Rush Springs aquifer, on average, were composed of 50 percent base flow in most years. Monthly mean base flow appeared to maintain streamflows throughout each year, but periods of zero flow were documented in daily hydrographs at each measured site, typically in the summer months.
\nA pneumatic slug-test technique was used at 15 sites to determine the horizontal hydraulic conductivity of streambed sediments in streams overlying the Rush Springs aquifer. Converting horizontal hydraulic conductivities (Kh) from the slug-test analyses to vertical hydraulic conductivities (Kv) by using a ratio of Kv/Kh = 0.1 resulted in estimates of vertical streambed hydraulic conductivity ranging from 0.1 to 8.6 feet per day. Data obtained from a hydraulic potentiomanometer in streambed sediments and streams in August 2012 indicate that water flow was from the streambed sediments to the stream (gaining) at 6 of 15 sites, and that water flow was from the stream to the streambed sediments (losing) at 9 of 15 sites.
\nThe groundwater and surface-water interaction data collected at the Cobb Creek near Eakly, Okla., streamflow gaging station (07325800), indicate that the bedrock groundwater, alluvial groundwater, and surface-water resources are closely connected. Because of this hydrologic connection, large perennial streams in the study area may change from gaining to losing streams in the summer. The timing and severity of this change from a gaining to a losing condition probably is affected by the local or regional withdrawal of groundwater for irrigation in the summer growing season. Wells placed closer to streams have a greater and more immediate effect on alluvial groundwater levels and stream stages than wells placed farther from streams. Large-capacity irrigation wells, even those completed hundreds of feet below land surface in the bedrock aquifer, can induce surface-water flow from nearby streams by lowering alluvial groundwater levels below the stream altitude.
\nTwenty-five new springs visible from public roads and paths were documented during a survey of springs in 2011. Most of the springs are in upland draws on the flanks of topographic ridges. Wetlands primarily were identified by using a combination of data sources including the National Wetlands Inventory, Soil Survey Geographic database frequently flooded soils maps, and aerial photographs.
\nRegional flow directions were determined by analysis of water levels measured in 29 wells completed in the Rush 2 Springs aquifer in Caddo County and the Caddo Nation Tribal Jurisdictional Area. Water levels were monitored every 30 minutes in five wells by using a vented pressure transducer and a data-collection platform with real-time transmitting equipment in each well. Those five wells ranged in depth from 210 to 350 feet. Water levels in these five wells indicate that there was a decrease in water storage in the Rush Springs aquifer from October 2010 to June 2013.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145082","collaboration":"Prepared in cooperation with the Caddo Nation, the Bureau of Indian Affairs, and the Bureau of Reclamation","usgsCitation":"Mashburn, S.L., and Smith, S.J., 2014, Evaluation of groundwater and surface-water interactions in the Caddo Nation Tribal Jurisdictional Area, Caddo County, Oklahoma, 2010-13: U.S. Geological Survey Scientific Investigations Report 2014-5082, ix, 54 p., https://doi.org/10.3133/sir20145082.","productDescription":"ix, 54 p.","numberOfPages":"67","onlineOnly":"N","ipdsId":"IP-050683","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":289007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145082.jpg"},{"id":289004,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5082/"},{"id":289006,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5082/pdf/sir2014-5082.pdf"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Oklahoma","county":"Caddo County","otherGeospatial":"Caddo Nation Tribal Jurisdictional Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.8,34.994 ], [ -98.8,35.7978 ], [ -97.8003,35.7978 ], [ -97.8003,34.994 ], [ -98.8,34.994 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53a93e51e4b0f1f8e2fa864c","contributors":{"authors":[{"text":"Mashburn, Shana L. 0000-0001-5163-778X shanam@usgs.gov","orcid":"https://orcid.org/0000-0001-5163-778X","contributorId":2140,"corporation":false,"usgs":true,"family":"Mashburn","given":"Shana","email":"shanam@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493623,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70111238,"text":"sir20145106 - 2014 - Hydrogeologic framework, groundwater movement, and water budget of the Kitsap Peninsula, west-central Washington","interactions":[],"lastModifiedDate":"2014-06-11T08:34:35","indexId":"sir20145106","displayToPublicDate":"2014-06-11T08:13:00","publicationYear":"2014","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":"2014-5106","title":"Hydrogeologic framework, groundwater movement, and water budget of the Kitsap Peninsula, west-central Washington","docAbstract":"This report presents information used to characterize the groundwater-flow system on the Kitsap Peninsula, and includes descriptions of the geology and hydrogeologic framework, groundwater recharge and discharge, groundwater levels and flow directions, seasonal groundwater-level fluctuations, interactions between aquifers and the surface‑water system, and a water budget. The Kitsap Peninsula is in the Puget Sound lowland of west-central Washington, is bounded by Puget Sound on the east and by Hood Canal on the west, and covers an area of about 575 square miles. The peninsula encompasses all of Kitsap County, the part of Mason County north of Hood Canal, and part of Pierce County west of Puget Sound. The peninsula is surrounded by saltwater and the hydrologic setting is similar to that of an island. The study area is underlain by a thick sequence of unconsolidated glacial and interglacial deposits that overlie sedimentary and volcanic bedrock units that crop out in the central part of the study area. Geologic units were grouped into 12 hydrogeologic units consisting of aquifers, confining units, and an underlying bedrock unit. A surficial hydrogeologic unit map was developed and used with well information from 2,116 drillers’ logs to construct 6 hydrogeologic sections and unit extent and thickness maps.
\nUnconsolidated aquifers typically consist of moderately to well-sorted alluvial and glacial outwash deposits of sand, gravel, and cobbles, with minor lenses of silt and clay. These units often are discontinuous or isolated bodies and are of highly variable thickness. Unconfined conditions occur in areas where aquifer units are at land surface; however, much of the study area is mantled by glacial till, and confined aquifer conditions are common. Groundwater in the unconsolidated aquifers generally flows radially off the peninsula in the direction of Puget Sound and Hood Canal. These generalized flow patterns likely are complicated by the presence of low-permeability confining units that separate discontinuous bodies of aquifer material and act as local groundwater-flow barriers.
\nGroundwater-level fluctuations observed during the monitoring period (2011–12) in wells completed in unconsolidated hydrogeologic units indicated seasonal variations ranging from 1 to about 20 feet. The largest fluctuation of 33 feet occurred in a well that was completed in the bedrock unit. Streamgage discharge measurements made during 2012 indicate that groundwater discharge to creeks in the area ranged from about 0.41 to 33.3 cubic feet per second.
\nDuring 2012, which was an above-average year of precipitation, the groundwater system received an average of about 664,610 acre-feet of recharge from precipitation and 22,122 acre-feet of recharge from return flows. Most of this annual recharge (66 percent) discharged to streams, and only about 4 percent was withdrawn from wells. The remaining groundwater recharge (30 percent) left the groundwater system as discharge to Hood Canal and Puget Sound.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145106","collaboration":"Prepared in cooperation with the Kitsap Public Utility District","usgsCitation":"Welch, W.B., Frans, L.M., and Olsen, T.D., 2014, Hydrogeologic framework, groundwater movement, and water budget of the Kitsap Peninsula, west-central Washington: U.S. Geological Survey Scientific Investigations Report 2014-5106, Report: vii, 44 p.; 2 Plates: 34.0 x 44.0 inches and 47.0 x 32.68 inches, https://doi.org/10.3133/sir20145106.","productDescription":"Report: vii, 44 p.; 2 Plates: 34.0 x 44.0 inches and 47.0 x 32.68 inches","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-055785","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":288260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145106.jpg"},{"id":288223,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5106/"},{"id":288257,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5106/pdf/sir20145106.pdf"},{"id":288258,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5106/pdf/sir20145106_plate01.pdf"},{"id":288259,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5106/pdf/sir20145106_plate02.pdf"}],"projection":"State Plane Washington North FIPS 4601 Feet","datum":"North American Datum of 1983","country":"United States","state":"Washington","otherGeospatial":"Kitsap Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.17018,47.233146 ], [ -123.17018,47.99093 ], [ -122.347281,47.99093 ], [ -122.347281,47.233146 ], [ -123.17018,47.233146 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53996c4fe4b0a59b26496937","contributors":{"authors":[{"text":"Welch, Wendy B. wwelch@usgs.gov","contributorId":1645,"corporation":false,"usgs":true,"family":"Welch","given":"Wendy","email":"wwelch@usgs.gov","middleInitial":"B.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":494302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494301,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70100998,"text":"sir20115053 - 2014 - Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","interactions":[],"lastModifiedDate":"2018-02-15T12:38:59","indexId":"sir20115053","displayToPublicDate":"2014-05-27T15:31:00","publicationYear":"2014","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":"2011-5053","displayTitle":"Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","title":"Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011","docAbstract":"The U.S. Geological Survey (USGS) is sponsoring the first The National Map Users Conference in conjunction with the eighth biennial Geographic Information Science (GIS) Workshop on May 10-13, 2011, in Lakewood, Colorado. The GIS Workshop will be held at the USGS National Training Center, located on the Denver Federal Center, Lakewood, Colorado, May 10-11. The National Map Users Conference will be held directly after the GIS Workshop at the Denver Marriott West, a convention hotel in the Lakewood, Colorado area, May 12-13.
\nThe National Map is designed to serve the Nation by providing geographic data and knowledge for government, industry, and public uses. The goal of The National Map Users Conference is to enhance communications and collaboration among the communities of users of and contributors to The National Map, including USGS, Department of the Interior, and other government GIS specialists and scientists, as well as the broader geospatial community. The USGS National Geospatial Program intends the conference to serve as a forum to engage users and more fully discover and meet their needs for the products and services of The National Map.
\nThe goal of the GIS Workshop is to promote advancement of GIS and related technologies and concepts as well as the sharing of GIS knowledge within the USGS GIS community. This collaborative opportunity for multi-disciplinary GIS and associated professionals will allow attendees to present and discuss a wide variety of geospatial-related topics.
\nThe Users Conference and Workshop collaboration will bring together scientists, managers, and data users who, through presentations, posters, seminars, workshops, and informal gatherings, will share accomplishments and progress on a variety of geospatial topics. During this joint event, attendees will have the opportunity to present or demonstrate their work; to develop their knowledge by attending hands-on workshops, seminars, and presentations given by professionals from USGS and other Federal Agencies, GIS related companies, and academia; and to network with other professionals to develop collaborative opportunities.
\nSpecific conference topics include scientific and modeling applications using The National Map, opportunities for partnerships, and advances in geospatial technologies.
\nThe first part of the week will be the GIS Workshop, offered as a pre-conference seminar. It will focus on hands-on GIS training and seminars concerning current topics of geospatial interest. The focus of the USGS GIS Workshop is to showcase specific techniques and concepts for using GIS in support of science. The presentations will be educational and not a marketing endeavor. To promote awareness of and interaction with selected USGS corporate and local science center data products, as well as promoting collaboration, a “GIS Olympics” event will be held Tuesday evening during the GIS Workshop.
\nThe second part of the week will feature interactive briefings and discussions on issues and opportunities of The National Map. The focus of the Users Conference will be on the role of The National Map in supporting science initiatives, emergency response, land and wildlife management, and other activities. All presentations at the Users Conference include use or innovations related to a The National Map data theme or application. On Wednesday evening, a poster session is being held as a combined event for all attendees and as a juncture between the events. On Thursday evening, the Henry Gannett Award will be presented. Additionally, poster awards will be presented.
\nSeveral prominent speakers are featured at plenary sessions at The National Map Users Conference, including Deanna A. Archuleta, Deputy Assistant Secretary for Water and Science, Department of the Interior; Dr. Barbara P. Buttenfield, Professor of Geography at the University of Colorado in Boulder; best-selling author Frederick Reuss; and Dr. Joel Scheraga, Senior Advisor for Climate Adaptation, U.S. Environmental Protection Agency. Additionally, panel discussions have attracted participation from notable experts from government, academia, and the private sector.
\nThis Proceedings volume will serve as an activity reference for workshop attendees, as well as an archive of technical abstracts presented at the workshop. Author, co-author, and presenter names, affiliations, and contact information are listed with presentation titles with the abstracts. Some hands-on sessions are offered twice; in these instances, abstracts submitted for publication are presented in the proceedings on both days on which they are offered.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115053","issn":"2328-0328","usgsCitation":"2014, Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and first The National Map Users Conference, Denver, Colorado, May 10-13, 2011: U.S. Geological Survey Scientific Investigations Report 2011-5053, xiii, 91 p., https://doi.org/10.3133/sir20115053.","productDescription":"xiii, 91 p.","numberOfPages":"112","onlineOnly":"Y","temporalStart":"2011-05-10","temporalEnd":"2011-05-13","ipdsId":"IP-028727","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":287634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20115053.jpg"},{"id":287633,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5053/pdf/sir2011-5053.pdf"},{"id":287632,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5053/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385a5d6e4b09e18fc0239f7","contributors":{"editors":[{"text":"Sieverling, Jennifer B. jbsiever@usgs.gov","contributorId":4806,"corporation":false,"usgs":true,"family":"Sieverling","given":"Jennifer","email":"jbsiever@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":728631,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dietterle, Jeffrey jdietterle@usgs.gov","contributorId":4150,"corporation":false,"usgs":true,"family":"Dietterle","given":"Jeffrey","email":"jdietterle@usgs.gov","affiliations":[],"preferred":true,"id":728632,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70095796,"text":"sir20145038 - 2014 - Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009","interactions":[],"lastModifiedDate":"2014-05-20T08:32:05","indexId":"sir20145038","displayToPublicDate":"2014-05-20T08:21:00","publicationYear":"2014","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":"2014-5038","title":"Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009","docAbstract":"In Florida’s karst terrain, where groundwater and surface waters interact, a mapping time series of the potentiometric surface in the Upper Floridan aquifer offers a versatile metric for assessing the hydrologic condition of both the aquifer and overlying streams and wetlands. Long-term groundwater monitoring data were used to generate a monthly time series of potentiometric surfaces in the Upper Floridan aquifer over a 573-square-mile area of west-central Florida between January 2000 and December 2009. Recorded groundwater elevations were collated for 260 groundwater monitoring wells in the Northern Tampa Bay area, and a continuous time series of daily observations was created for 197 of the wells by estimating missing daily values through regression relations with other monitoring wells. Kriging was used to interpolate the monthly average potentiometric-surface elevation in the Upper Floridan aquifer over a decade. The mapping time series gives spatial and temporal coherence to groundwater monitoring data collected continuously over the decade by three different organizations, but at various frequencies. Further, the mapping time series describes the potentiometric surface beneath parts of six regionally important stream watersheds and 11 municipal well fields that collectively withdraw about 90 million gallons per day from the Upper Floridan aquifer.
\nMonthly semivariogram models were developed using monthly average groundwater levels at wells. Kriging was used to interpolate the monthly average potentiometric-surface elevations and to quantify the uncertainty in the interpolated elevations. Drawdown of the potentiometric surface within well fields was likely the cause of a characteristic decrease and then increase in the observed semivariance with increasing lag distance. This characteristic made use of the hole effect model appropriate for describing the monthly semivariograms and the interpolated surfaces. Spatial variance reflected in the monthly semivariograms decreased markedly between 2002 and 2003, timing that coincided with decreases in well-field pumping. Cross-validation results suggest that the kriging interpolation may smooth over the drawdown of the potentiometric surface near production wells.
\nThe groundwater monitoring network of 197 wells yielded an average kriging error in the potentiometric-surface elevations of 2 feet or less over approximately 70 percent of the map area. Additional data collection within the existing monitoring network of 260 wells and near selected well fields could reduce the error in individual months. Reducing the kriging error in other areas would require adding new monitoring wells. Potentiometric-surface elevations fluctuated by as much as 30 feet over the study period, and the spatially averaged elevation for the entire surface rose by about 2 feet over the decade. Monthly potentiometric-surface elevations describe the lateral groundwater flow patterns in the aquifer and are usable at a variety of spatial scales to describe vertical groundwater recharge and discharge conditions for overlying surface-water features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145038","collaboration":"Prepared in cooperation with the Southwest Florida Water Management District","usgsCitation":"Lee, T.M., and Fouad, G.G., 2014, Creating a monthly time series of the potentiometric surface in the Upper Floridan aquifer, Northern Tampa Bay area, Florida, January 2000-December 2009: U.S. Geological Survey Scientific Investigations Report 2014-5038, Report: v, 26 p.; Appendix 1-3; Animation File; Downloads, https://doi.org/10.3133/sir20145038.","productDescription":"Report: v, 26 p.; Appendix 1-3; Animation File; Downloads","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-049010","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":287307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145038.jpg"},{"id":287303,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5038/pdf/sir2014-5038.pdf"},{"id":287304,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5038/appendix"},{"id":287302,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5038/"},{"id":287305,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5038/video"},{"id":287306,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5038/downloads"}],"projection":"Universal Transverse Mercator, zone 17 north","datum":"World Geodetic System 1984","country":"United States","state":"Florida","otherGeospatial":"Northern Tampa Bay Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.920685,27.897349 ], [ -82.920685,28.500075 ], [ -82.099457,28.500075 ], [ -82.099457,27.897349 ], [ -82.920685,27.897349 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b50e4b00e1e1a484822","contributors":{"authors":[{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":491437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fouad, Geoffrey G.","contributorId":101996,"corporation":false,"usgs":true,"family":"Fouad","given":"Geoffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":491438,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103033,"text":"ofr20141086 - 2014 - 1964 Great Alaska Earthquake: a photographic tour of Anchorage, Alaska","interactions":[],"lastModifiedDate":"2014-04-29T12:54:25","indexId":"ofr20141086","displayToPublicDate":"2014-04-29T12:43:00","publicationYear":"2014","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":"2014-1086","title":"1964 Great Alaska Earthquake: a photographic tour of Anchorage, Alaska","docAbstract":"On March 27, 1964, at 5:36 p.m., a magnitude 9.2 earthquake, the largest recorded earthquake in U.S. history, struck southcentral Alaska (fig. 1). The Great Alaska Earthquake (also known as the Good Friday Earthquake) occurred at a pivotal time in the history of earth science, and helped lead to the acceptance of plate tectonic theory (Cox, 1973; Brocher and others, 2014). All large subduction zone earthquakes are understood through insights learned from the 1964 event, and observations and interpretations of the earthquake have influenced the design of infrastructure and seismic monitoring systems now in place. The earthquake caused extensive damage across the State, and triggered local tsunamis that devastated the Alaskan towns of Whittier, Valdez, and Seward. In Anchorage, the main cause of damage was ground shaking, which lasted approximately 4.5 minutes. Many buildings could not withstand this motion and were damaged or collapsed even though their foundations remained intact. More significantly, ground shaking triggered a number of landslides along coastal and drainage valley bluffs underlain by the Bootlegger Cove Formation, a composite of facies containing variably mixed gravel, sand, silt, and clay which were deposited over much of upper Cook Inlet during the Late Pleistocene (Ulery and others, 1983). Cyclic (or strain) softening of the more sensitive clay facies caused overlying blocks of soil to slide sideways along surfaces dipping by only a few degrees.
\nThis guide is the document version of an interactive web map that was created as part of the commemoration events for the 50th anniversary of the 1964 Great Alaska Earthquake. It is accessible at the U.S. Geological Survey (USGS) Alaska Science Center website: http://alaska.usgs.gov/announcements/news/1964Earthquake/. The website features a map display with suggested tour stops in Anchorage, historical photographs taken shortly after the earthquake, repeat photography of selected sites, scanned documents, and small-scale maps, as well as links to slideshows of additional photographs and Google Street View™ scenes. Buildings in Anchorage that were severely damaged, sites of major landslides, and locations of post-earthquake engineering responses are highlighted. The web map can be used online as a virtual tour or in a physical self-guided tour using a web-enabled Global Positioning System (GPS) device. This publication serves the purpose of committing most of the content of the web map to a single distributable document. As such, some of the content differs from the online version.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141086","usgsCitation":"Thoms, E.E., Haeussler, P.J., Anderson, R., and McGimsey, R.G., 2014, 1964 Great Alaska Earthquake: a photographic tour of Anchorage, Alaska: U.S. Geological Survey Open-File Report 2014-1086, vi, 48 p., https://doi.org/10.3133/ofr20141086.","productDescription":"vi, 48 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-056501","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":286768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141086.jpg"},{"id":286765,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1086/"},{"id":286767,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1086/pdf/ofr2014-1086.pdf"}],"country":"United States","state":"Alaska","city":"Anchorage","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.72 ], [ -129.99,71.72 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4910e4b0b290850eed99","contributors":{"authors":[{"text":"Thoms, Evan E. ethoms@usgs.gov","contributorId":4819,"corporation":false,"usgs":true,"family":"Thoms","given":"Evan","email":"ethoms@usgs.gov","middleInitial":"E.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":493106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":493104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Rebecca 0000-0001-6988-6311 rdanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-6988-6311","contributorId":5925,"corporation":false,"usgs":true,"family":"Anderson","given":"Rebecca","email":"rdanderson@usgs.gov","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":493107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":493105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70095579,"text":"sir20145011 - 2014 - Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California","interactions":[],"lastModifiedDate":"2017-06-23T09:38:10","indexId":"sir20145011","displayToPublicDate":"2014-04-21T16:02:00","publicationYear":"2014","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":"2014-5011","title":"Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California","docAbstract":"Subsidence, in the vicinity of dry lakebeds, within the Mojave River and Morongo groundwater basins of the southwest Mojave Desert has been measured by Interferometric Synthetic Aperture Radar (InSAR). The investigation has focused on determining the location, extent, and magnitude of changes in land-surface elevation. In addition, the relation of changes in land-surface elevation to changes in groundwater levels and lithology was explored. This report is the third in a series of reports investigating land-surface elevation changes in the Mojave and Morongo Groundwater Basins, California. The first report, U.S. Geological Survey (USGS) Water-Resources Investigations Report 03-4015 by Sneed and others (2003), describes historical subsidence and groundwater-level changes in the southwest Mojave Desert from 1969 to 1999. The second report, U.S. Geological Survey Water-Resources Investigations Report 07-5097, an online interactive report and map, by Sneed and Brandt (2007), describes subsidence and groundwater-level changes in the southwest Mojave Desert from 1999 to 2004. The purpose of this report is to document an updated assessment of subsidence in these lakebeds and selected neighboring areas from 2004 to 2009 as measured by InSAR methods. In addition, continuous Global Positioning System (GPS)(2005-10), groundwater level (1951-2010), and lithologic data, if available, were used to characterize compaction mechanisms in these areas. The USGS California Water Science Center’s interactive website for the Mojave River and Morongo groundwater basins was created to centralize information pertaining to land subsidence and water levels and to allow readers to access available data and related reports online. An interactive map of land subsidence and water levels in the Mojave River and Morongo groundwater basins displays InSAR interferograms, subsidence areas, subsidence contours, hydrographs, well information, and water-level contours. Background information, including a basic description of the mechanics of land subsidence and InSAR, as well as a description of the study area, is presented within the Mojave Water Resources Interactive Map and report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145011","issn":"2328-0328","usgsCitation":"Solt, M., and Sneed, M., 2014, Subsidence (2004-2009) in and near lakebeds of the Mojave River and Morongo groundwater basins, southwest Mojave Desert, California: U.S. Geological Survey Scientific Investigations Report 2014-5011, HTML document, https://doi.org/10.3133/sir20145011.","productDescription":"HTML document","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-038374","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145011.PNG"},{"id":286470,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5011/"},{"id":286471,"type":{"id":11,"text":"Document"},"url":"https://ca.water.usgs.gov/mojave/mojave-subsidence-2004-2009.html"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert;Mojave River;Morongo Groundwater Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.5,34.0 ], [ -117.5,35.0 ], [ -116.0,35.0 ], [ -116.0,34.0 ], [ -117.5,34.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53563df2e4b03a277fd6adb9","contributors":{"authors":[{"text":"Solt, Mike","contributorId":88258,"corporation":false,"usgs":true,"family":"Solt","given":"Mike","email":"","affiliations":[],"preferred":false,"id":491307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491306,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70100725,"text":"sir20145020 - 2014 - Simulation of groundwater flow and interaction of groundwater and surface water on the Lac du Flambeau Reservation, Wisconsin","interactions":[],"lastModifiedDate":"2014-04-04T12:51:24","indexId":"sir20145020","displayToPublicDate":"2014-04-04T12:46:00","publicationYear":"2014","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":"2014-5020","title":"Simulation of groundwater flow and interaction of groundwater and surface water on the Lac du Flambeau Reservation, Wisconsin","docAbstract":"The Lac du Flambeau Band of Lake Superior Chippewa and Indian Health Service are interested in improving the understanding of groundwater flow and groundwater/surface-water interaction on the Lac du Flambeau Reservation (Reservation) in southwest Vilas County and southeast Iron County, Wisconsin, with particular interest in an understanding of the potential for contamination of groundwater supply wells and the fate of wastewater that is infiltrated from treatment lagoons on the Reservation. This report describes the construction, calibration, and application of a regional groundwater flow model used to simulate the shallow groundwater flow system of the Reservation and water-quality results for groundwater and surface-water samples collected near a system of waste-water-treatment lagoons.
\nGroundwater flows through a permeable glacial aquifer that ranges in thickness from 60 to more than 200 feet (ft). Seepage and drainage lakes are common in the area and influence groundwater flow patterns on the Reservation. A two-dimensional, steady-state analytic element groundwater flow model was constructed using the program GFLOW. The model was calibrated by matching target water levels and stream base flows through the use of the parameter-estimation program, PEST. Simulated results illustrate that groundwater flow within most of the Reservation is toward the Bear River and the chain of lakes that feed the Bear River. Results of analyses of groundwater and surface-water samples collected downgradient from the wastewater infiltration lagoons show elevated levels of ammonia and dissolved phosphorus. In addition, wastewater indicator chemicals detected in three downgradient wells and a small downgradient stream indicate that infiltrated wastewater is moving southwest of the lagoons toward Moss Lake.
\nPotential effects of extended wet and dry periods (within historical ranges) were evaluated by adjusting precipitation and groundwater recharge in the model and comparing the resulting simulated lake stage and water budgets to stages and water budgets from the calibrated model. Simulated lake water budgets and water level changes illustrate the importance of understanding the position of a lake within the hydrologic system (headwater or downstream), the type of lake (surface-water drainage or seepage lake), and the role of groundwater in dampening the effects of large-scale changes in weather patterns on lake levels.
\nAreas contributing recharge to drinking-water supply wells on the Reservation were delineated using forward particle tracking from the water table to the well. Monte Carlo uncertainty analyses were used to produce maps showing the probability of groundwater capture for areas around each well nest. At the Main Pumphouse site near the Village of Lac du Flambeau, most of the area contributing recharge to the wells occurs downgradient from a large wetland between the wells and the wastewater infiltration lagoons. Nonetheless, a small potential for the wells to capture infiltrated wastewater is apparent when considering uncertainty in the model parameter values. At the West Pumphouse wells south of Flambeau Lake, most of the area contributing recharge is between the wells and Tippecanoe Lake.
\nThe extent of infiltrated wastewater from two infiltration lagoons was tracked using the groundwater flow model and Monte Carlo uncertainty analyses. Wastewater infiltrated from the lagoons flows predominantly south toward Moss Lake as it integrates with the regional groundwater flow system. The wastewater-plume-extent simulations support the area-contributing-recharge simulations, indicating that there is a possibility, albeit at low probability, that some wastewater could be captured by water-supply wells. Comparison of simulated water-table contours indicate that the lagoons may mound the water table approximately 4 ft, with diminishing levels of mounding outward from the lagoons.
\nFour scenarios, representing potential alternatives for wastewater management, were simulated (at current discharge rates) to evaluate the potential extent of wastewater in the aquifer and discharge to surface-water bodies associated with each management scenario. Wastewater simulated to infiltrate through a hypothetical diffuser below a wetland south of the current lagoons appears to discharge to the overlying wetland and would likely discharge to Moss Lake as overland flow. Wastewater simulated to discharge to a small lake (Mindy Lake) between Moss and Fence Lakes appears to spread radically over a large area between the lakes. Wastewater simulated to discharge to lagoons south and northeast of the current lagoons also appears to spread radially, but the areas of the aquifer with the highest probability of encountering waste-water contamination would likely be between the lagoons and the nearest lake, where the wastewater would eventually discharge. Probability results for the wastewater-plume-extent scenarios are sensitive to the number of mathematical water particles used to represent infiltrating wastewater and the level of detail in the synthetic grid used for the probability analysis. Thus, probability results from wastewater-plume-extent simulations are qualitative only; however, it is expected that illustrations of relatively high or low probability will be useful as a general guide for decision making. Management problems requiring quantitative estimates of probability are best re-cast into problems evaluating the area that contributes recharge to the location of interest, which is not dependent upon the number of simulated particles or the resolution of a synthetic grid.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145020","issn":"2328-0328","collaboration":"Prepared in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa and Indian Health Service","usgsCitation":"Juckem, P.F., Fienen, M., and Hunt, R.J., 2014, Simulation of groundwater flow and interaction of groundwater and surface water on the Lac du Flambeau Reservation, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2014-5020, Report: vi, 43 p.; Appendix, https://doi.org/10.3133/sir20145020.","productDescription":"Report: vi, 43 p.; Appendix","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-046060","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":285713,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5020/pdf/sir2014-5020.pdf"},{"id":285714,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5020/appendix/sir2014-5020_appendix_layout.xlsx"},{"id":285715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145020.jpg"},{"id":285701,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5020/"}],"country":"United States","state":"Wisconsin","county":"Iron County;Vilas County","otherGeospatial":"Lac Du Flambeau Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,45.916667 ], [ -90.0,46.083333 ], [ -89.75,46.083333 ], [ -89.75,45.916667 ], [ -90.0,45.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517062e4b05569d805a3ab","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188869,"text":"70188869 - 2014 - Structural controls on geothermal circulation in Surprise Valley, California: A re-evaluation of the Lake City fault zone","interactions":[],"lastModifiedDate":"2017-06-27T10:09:51","indexId":"70188869","displayToPublicDate":"2014-03-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Structural controls on geothermal circulation in Surprise Valley, California: A re-evaluation of the Lake City fault zone","docAbstract":"Faults and fractures play an important role in the circulation of geothermal fluids in the crust, and the nature of that role varies according to structural setting and state of stress. As a result, detailed geologic and geophysical mapping that relates thermal springs to known structural features is essential to modeling geothermal systems. Published maps of Surprise Valley in northeastern California suggest that the “Lake City fault” or “Lake City fault zone” is a significant structural feature, cutting obliquely across the basin and connecting thermal springs across the valley. Newly acquired geophysical data (audio-magnetotelluric, gravity, and magnetic), combined with existing geochemical and geological data, suggest otherwise. We examine potential field profiles and resistivity models that cross the mapped Lake City fault zone. While there are numerous geophysical anomalies that suggest subsurface structures, they mostly do not coincide with the mapped traces of the Lake City fault zone, nor do they show a consistent signature in gravity, magnetics, or resistivities that would suggest a through-going fault that would promote connectivity through lateral fluid flow. Instead of a single, continuous fault, we propose the presence of a deformation zone associated with the growth of the range-front Surprise Valley fault. The implication for geothermal circulation is that this is a zone of enhanced porosity but lacks length-wise connectivity that could conduct fluids across the valley. Thermal fluid circulation is most likely controlled primarily by interactions between N-S–trending normal faults.
","language":"English","doi":"10.1130/B30785.1","usgsCitation":"Anne E. Egger, Glen, J.M., and McPhee, D., 2014, Structural controls on geothermal circulation in Surprise Valley, California: A re-evaluation of the Lake City fault zone: GSA Bulletin, v. 126, no. 3-4, p. 523-531, https://doi.org/10.1130/B30785.1.","productDescription":"9 p. ","startPage":"523","endPage":"531","ipdsId":"IP-046413","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California ","otherGeospatial":"Goose Lake, Surprise Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.62713623046872,\n 42.167475010395364\n ],\n [\n -120.64086914062497,\n 41.2778064673818\n ],\n [\n -120.64086914062497,\n 41.09384217129617\n ],\n [\n -120.04211425781249,\n 41.10212132036489\n ],\n [\n -119.88006591796872,\n 41.106260503564485\n ],\n [\n -119.89105224609372,\n 41.97786911170169\n ],\n [\n -119.88006591796874,\n 42.15118709351198\n ],\n [\n -120.62713623046872,\n 42.167475010395364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-24","publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7aab","contributors":{"authors":[{"text":"Anne E. Egger","contributorId":193540,"corporation":false,"usgs":false,"family":"Anne E. Egger","affiliations":[],"preferred":false,"id":700756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":700754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70074472,"text":"sim3287 - 2014 - Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges","interactions":[],"lastModifiedDate":"2023-05-26T13:44:29.25989","indexId":"sim3287","displayToPublicDate":"2014-02-25T12:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3287","title":"Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges","docAbstract":"The Cambria 30´ x 60´ quadrangle comprises southwestern Monterey County and northwestern San Luis Obispo County. The land area includes rugged mountains of the Santa Lucia Range extending from the northwest to the southeast part of the map; the southern part of the Big Sur coast in the northwest; broad marine terraces along the southwest coast; and broadvalleys, rolling hills, and modest mountains in the northeast.
\nThis report contains geologic, gravity anomaly, and aeromagnetic anomaly maps of the eastern three-fourths of the 1:100,000-scale Cambria quadrangle and the associated geologic and geophysical databases (ArcMap databases), as well as complete descriptions of the geologic map units and the structural relations in the mapped area. A cross section is based on both the geologic map and potential-field geophysical data.
\nThe maps are presented as an interactive, multilayer PDF, rather than more traditional pre-formatted map-sheet PDFs. Various geologic, geophysical, paleontological, and base map elements are placed on separate layers, which allows the user to combine elements interactively to create map views beyond the traditional map sheets. Four traditional map sheets (geologic map, gravity map, aeromagnetic map, paleontological locality map) are easily compiled by choosing the associated data layers or by choosing the desired map under Bookmarks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3287","usgsCitation":"Graymer, R., Langenheim, V., Roberts, M.A., and McDougall, K., 2014, Geologic and geophysical maps of the eastern three-fourths of the Cambria 30' x 60' quadrangle, central California Coast Ranges: U.S. Geological Survey Scientific Investigations Map 3287, Pamphlet: iii, 47 p.; 1 Plate: 44.0 x 32.0 inches; Readme; Metadata; Database, https://doi.org/10.3133/sim3287.","productDescription":"Pamphlet: iii, 47 p.; 1 Plate: 44.0 x 32.0 inches; Readme; Metadata; Database","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040960","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282774,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":398951,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99614.htm"},{"id":282768,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3287/"},{"id":282769,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_map.pdf"},{"id":282771,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_readme.pdf"},{"id":282770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3287/pdf/SIM3287_pamphlet.pdf"},{"id":282772,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3287/downloads/SIM3287_metadata.txt"},{"id":282773,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3287/downloads/SIM3287_database.zip"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum 1983","country":"United States","state":"California","county":"Monterey County, San Luis Obispo County","otherGeospatial":"Big Sur, California Coast Ranges","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.625,35.5 ], [ -121.625,36.0 ], [ -121.0,36.0 ], [ -121.0,35.5 ], [ -121.625,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b98e4b0b290850fa008","contributors":{"authors":[{"text":"Graymer, R. W.","contributorId":21174,"corporation":false,"usgs":true,"family":"Graymer","given":"R. W.","affiliations":[],"preferred":false,"id":489593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":489594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. A.","contributorId":63720,"corporation":false,"usgs":true,"family":"Roberts","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDougall, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":85610,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":489596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70094222,"text":"70094222 - 2014 - Adaptive responses reveal contemporary and future ecotypes in a desert shrub","interactions":[],"lastModifiedDate":"2014-02-19T09:19:35","indexId":"70094222","displayToPublicDate":"2014-02-19T09:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive responses reveal contemporary and future ecotypes in a desert shrub","docAbstract":"Interacting threats to ecosystem function, including climate change, wildfire, and invasive species necessitate native plant restoration in desert ecosystems. However, native plant restoration efforts often remain unguided by ecological genetic information. Given that many ecosystems are in flux from climate change, restoration plans need to account for both contemporary and future climates when choosing seed sources. In this study we analyze vegetative responses, including mortality, growth, and carbon isotope ratios in two blackbrush (Coleogyne ramosissima) common gardens that included 26 populations from a range-wide collection. This shrub occupies ecotones between the warm and cold deserts of Mojave and Colorado Plateau ecoregions in western North America. The variation observed in the vegetative responses of blackbrush populations was principally explained by grouping populations by ecoregions and by regression with site-specific climate variables. Aridity weighted by winter minimum temperatures best explained vegetative responses; Colorado Plateau sites were usually colder and drier than Mojave sites. The relationship between climate and vegetative response was mapped within the boundaries of the species–climate space projected for the contemporary climate and for the decade surrounding 2060. The mapped ecological genetic pattern showed that genetic variation could be classified into cool-adapted and warm-adapted ecotypes, with populations often separated by steep clines. These transitions are predicted to occur in both the Mojave Desert and Colorado Plateau ecoregions. While under contemporary conditions the warm-adapted ecotype occupies the majority of climate space, climate projections predict that the cool-adapted ecotype could prevail as the dominant ecotype as the climate space of blackbrush expands into higher elevations and latitudes. This study provides the framework for delineating climate change-responsive seed transfer guidelines, which are needed to inform restoration and management planning. We propose four transfer zones in blackbrush that correspond to areas currently dominated by cool-adapted and warm-adapted ecotypes in each of the two ecoregions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0587.1","usgsCitation":"Richardson, B., Kitchen, S.G., Pendleton, R.L., Pendleton, B.K., Germino, M., Rehfeldt, G.E., and Meyer, S.E., 2014, Adaptive responses reveal contemporary and future ecotypes in a desert shrub: Ecological Applications, v. 24, no. 2, p. 413-427, https://doi.org/10.1890/13-0587.1.","productDescription":"15 p.","startPage":"413","endPage":"427","numberOfPages":"15","ipdsId":"IP-049665","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":282515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282508,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0587.1"}],"country":"United States","state":"Arizona;California;Colorado;Nevada;New Mexico;Utah","otherGeospatial":"Colorado Plateau;Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,30.0 ], [ -120.0,40.0 ], [ -110.0,40.0 ], [ -110.0,30.0 ], [ -120.0,30.0 ] ] ] } } ] }","volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53516f2ce4b05569d805a029","contributors":{"authors":[{"text":"Richardson, Bryce A.","contributorId":37249,"corporation":false,"usgs":true,"family":"Richardson","given":"Bryce A.","affiliations":[],"preferred":false,"id":490569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitchen, Stanley G.","contributorId":60530,"corporation":false,"usgs":true,"family":"Kitchen","given":"Stanley","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":490571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Rosemary L.","contributorId":69882,"corporation":false,"usgs":true,"family":"Pendleton","given":"Rosemary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":490572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pendleton, Burton K.","contributorId":107187,"corporation":false,"usgs":true,"family":"Pendleton","given":"Burton","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":490574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":490570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rehfeldt, Gerald E.","contributorId":89439,"corporation":false,"usgs":true,"family":"Rehfeldt","given":"Gerald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, Susan E.","contributorId":20251,"corporation":false,"usgs":true,"family":"Meyer","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70187340,"text":"70187340 - 2014 - Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California","interactions":[],"lastModifiedDate":"2019-12-17T09:22:09","indexId":"70187340","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2785,"text":"Monographs of the Western North American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California","docAbstract":"San Miguel Island is the westernmost of the California Channel Islands and one of the windiest areas on the west coast of North America. The majority of the island is covered by coastal sand dunes, which were stripped of vegetation and subsequently mobilized due to droughts and sheep ranching during the late 19th century and early 20th century. Since the removal of grazing animals, vegetation and biological soil crusts have once again stabilized many of the island's dunes. In this study, historical aerial photographs and field surveys were used to develop a chronosequence of the pattern of change in vegetation communities and biological soil crust levels of development (LOD) along a gradient of dune stabilization. Historical aerial photographs from 1929, 1954, 1977, and 2009 were georeferenced and used to delineate changes in vegetation canopy cover and active (unvegetated) dune extent among 5 historical periods (pre-1929, 1929–1954, 1954–1977, 1977–2009, and 2009–2011). During fieldwork, vegetation and biological soil crust communities were mapped along transects distributed throughout San Miguel Island's central dune field on land forms that had stabilized during the 5 time periods of interest. Analyses in a geographic information system (GIS) quantified the pattern of changes that vegetation and biological soil crust communities have exhibited on the San Miguel Island dunes over the past 80 years. Results revealed that a continuing increase in total vegetation cover and a complex pattern of change in vegetation communities have taken place on the San Miguel Island dunes since the removal of grazing animals. The highly specialized native vascular vegetation (sea rocket, dunedelion, beach-bur, and locoweed) are the pioneer stabilizers of the dunes. This pioneer community is replaced in later stages by communities that are dominated by native shrubs (coastal goldenbush, silver lupine, coyote-brush, and giant coreopsis), with apparently overlapping or cyclical succession pathways. Many of the dunes that have been stabilized the longest (since before 1929) are dominated by exotic grasses. Stands of biological soil crusts (cyanobacteria) are found only on dunes where vascular vegetation is already present. Biological soil crusts are not found on dunes exhibiting a closed vascular plant canopy, which may indicate that the role of soil crusts in dune stabilization on the island is transitory. Particle-size analyses of soil samples from the study area reveal that higher biological soil crust LOD is positively correlated with increasing fine grain content. The findings indicate that changes in vegetation communities may be the most rapid at earlier and later stages of dune stabilization and that regular monitoring of dunes may help to identify the interactions between vegetation and soil crusts, as well as the potential transitions between native and exotic plant communities.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/042.007.0118","usgsCitation":"Zellman, K.L., 2014, Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California: Monographs of the Western North American Naturalist, v. 7, no. 1, p. 225-245, https://doi.org/10.3398/042.007.0118.","productDescription":"21 p.","startPage":"225","endPage":"245","ipdsId":"IP-045921","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473313,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3398/042.007.0118","text":"Publisher Index Page"},{"id":340691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Miguel Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.46920776367188,\n 34.00599664251842\n ],\n [\n -120.28175354003906,\n 34.00599664251842\n ],\n [\n -120.28175354003906,\n 34.085080620514844\n ],\n [\n -120.46920776367188,\n 34.085080620514844\n ],\n [\n -120.46920776367188,\n 34.00599664251842\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084934e4b0fc4e448ffd8e","contributors":{"authors":[{"text":"Zellman, Kristine L. 0000-0002-7088-429X kzellman@usgs.gov","orcid":"https://orcid.org/0000-0002-7088-429X","contributorId":4849,"corporation":false,"usgs":true,"family":"Zellman","given":"Kristine","email":"kzellman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70174838,"text":"70174838 - 2014 - Tracking changes in volcanic systems with seismic Interferometry","interactions":[],"lastModifiedDate":"2016-07-18T14:16:46","indexId":"70174838","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tracking changes in volcanic systems with seismic Interferometry","docAbstract":"The detection and evaluation of time-dependent changes at volcanoes form the foundation upon which successful volcano monitoring is built. Temporal changes at volcanoes occur over all time scales and may be obvious (e.g., earthquake swarms) or subtle (e.g., a slow, steady increase in the level of tremor). Some of the most challenging types of time-dependent change to detect are subtle variations in material properties beneath active volcanoes. Although difficult to measure, such changes carry important information about stresses and fluids present within hydrothermal and magmatic systems. These changes are imprinted on seismic waves that propagate through volcanoes. In recent years, there has been a quantum leap in the ability to detect subtle structural changes systematically at volcanoes with seismic waves. The new methodology is based on the idea that useful seismic signals can be generated “at will” from seismic noise. This means signals can be measured any time, in contrast to the often irregular and unpredictable times of earthquakes. With seismic noise in the frequency band 0.1–1 Hz arising from the interaction of the ocean with the solid Earth known as microseisms, researchers have demonstrated that cross-correlations of passive seismic recordings between pairs of seismometers yield coherent signals (Campillo and Paul 2003; Shapiro and Campillo 2004). Based on this principle, coherent signals have been reconstructed from noise recordings in such diverse fields as helioseismology (Rickett and Claerbout 2000), ultrasound (Weaver and Lobkis 2001), ocean acoustic waves (Roux and Kuperman 2004), regional (Shapiro et al. 2005; Sabra et al. 2005; Bensen et al. 2007) and exploration (Draganov et al. 2007) seismology, atmospheric infrasound (Haney 2009), and studies of the cryosphere (Marsan et al. 2012). Initial applications of ambient seismic noise were to regional surface wave tomography (Shapiro et al. 2005). Brenguier et al. (2007) were the first to use ambient noise tomography (ANT) to map the 3D structure of a volcanic interior (at Piton de la Fournaise). Subsequent studies have imaged volcanoes with ANT at Okmok (Masterlark et al. 2010), Toba (Stankiewicz et al. 2010), Katmai (Thurber et al. 2012), Asama (Nagaoka et al. 2012), Uturuncu (Jay et al. 2012), and Kilauea (Ballmer et al. 2013b). In addition, Ma et al. (2013) have imaged a scatterer in the volcanic region of southern Peru by applying array techniques to ambient noise correlations. Prior to and in tandem with the development of ANT, researchers discovered that repeating earthquakes, which often occur at volcanoes, could be used to monitor subtle time-dependent changes with a technique known as the doublet method or coda wave interferometry (CWI) (Poupinet et al. 1984; Roberts et al. 1992; Ratdomopurbo and Poupinet 1995; Snieder et al. 2002; Pandolfi et al. 2006; Wegler et al. 2006; Martini et al. 2009; Haney et al. 2009; De Angelis 2009; Nagaoka et al. 2010; Battaglia et al. 2012; Erdem and Waite 2005; Hotovec-Ellis et al. 2014). Chaput et al. (2012) have also used scattered waves from Strombolian eruption coda at Erebus volcano to image the reflectivity of the volcanic interior with body wave interferometry. However, CWI in its original form was limited in that repeating earthquakes, or doublets, were not always guaranteed to occur. With the widespread use of noise correlations in seismology following the groundbreaking work by Campillo and Paul (2003) and Shapiro et al. (2005), it became evident that the nature of the ambient seismic field, due to its oceanic origin, enabled the continuous monitoring of subtle, time-dependent changes at both fault zones (Wegler and Sens-Schönfelder 2007; Brenguier et al. 2008b; Wegler et al. 2009; Sawazaki et al. 2009; Tatagi et al. 2012) and volcanoes (Sens-Schönfelder and Wegler 2006; Brenguier et al. 2008a) without the need for repeating earthquakes. Seismic precursors to eruptions based on ambient noise we
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Earthquake Engineering","language":"English","publisher":"Elsevier","doi":"10.1007/978-3-642-36197-5_50-1","isbn":"978-3-642-36197-5 (Online)","usgsCitation":"Haney, M.M., Alicia J. Hotovec-Ellis, Bennington, N.L., De Angelis, S., and Clifford Thurber, 2014, Tracking changes in volcanic systems with seismic Interferometry, chap. of Encyclopedia of Earthquake Engineering, 23 p., https://doi.org/10.1007/978-3-642-36197-5_50-1.","productDescription":"23 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056318","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":325378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-06","publicationStatus":"PW","scienceBaseUri":"578dfdbae4b0f1bea0e0f902","contributors":{"authors":[{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":642744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alicia J. Hotovec-Ellis","contributorId":172949,"corporation":false,"usgs":false,"family":"Alicia J. Hotovec-Ellis","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":642745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennington, Ninfa L.","contributorId":172950,"corporation":false,"usgs":false,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"L.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":642746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De Angelis, Silvio","contributorId":172951,"corporation":false,"usgs":false,"family":"De Angelis","given":"Silvio","email":"","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":642747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clifford Thurber","contributorId":172952,"corporation":false,"usgs":false,"family":"Clifford Thurber","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":642748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70111687,"text":"70111687 - 2014 - Virtual Beach 3: user's guide","interactions":[],"lastModifiedDate":"2014-07-08T08:27:34","indexId":"70111687","displayToPublicDate":"2013-12-01T08:52:19","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"EPA/600/R-13/311","title":"Virtual Beach 3: user's guide","docAbstract":"Virtual Beach version 3 (VB3) is a decision support tool that constructs site-specific statistical models to predict fecal indicator bacteria (FIB) concentrations at recreational beaches. VB3 is primarily designed for beach managers responsible for making decisions regarding beach closures or the issuance of swimming advisories due to pathogen contamination. However, researchers, scientists, engineers, and students interested in studying relationships between water quality indicators and ambient environmental conditions will find VB3 useful. VB3 reads input data from a text file or Excel document, assists the user in preparing the data for analysis, enables automated model selection using a wide array of possible model evaluation criteria, and provides predictions using a chosen model parameterized with new data. With an integrated mapping component to determine the geographic orientation of the beach, the software can automatically decompose wind/current/wave speed and magnitude information into along-shore and onshore/offshore components for use in subsequent analyses. Data can be examined using simple scatter plots to evaluate relationships between the response and independent variables (IVs). VB3 can produce interaction terms between the primary IVs, and it can also test an array of transformations to maximize the linearity of the relationship The software includes search routines for finding the \"best\" models from an array of possible choices. Automated censoring of statistical models with highly correlated IVs occurs during the selection process. Models can be constructed either using previously collected data or forecasted environmental information. VB3 has residual diagnostics for regression models, including automated outlier identification and removal using DFFITs or Cook's Distances.
","language":"English","publisher":"US EPA Office of Research and Development Ecosystems Research Division","publisherLocation":"Athens, GA","usgsCitation":"Cyterski, M., Brooks, W., Galvin, M., Wolfe, K., Carvin, R., Roddick, T., Fienen, M., and Corsi, S., 2014, Virtual Beach 3: user's guide, 86 p.","productDescription":"86 p.","numberOfPages":"88","ipdsId":"IP-053145","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":289444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289501,"type":{"id":15,"text":"Index Page"},"url":"https://www2.epa.gov/exposure-assessment-models/virtual-beach-v-30-user-guide"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc188e4b084059e8bff0c","contributors":{"authors":[{"text":"Cyterski, Mike","contributorId":64161,"corporation":false,"usgs":true,"family":"Cyterski","given":"Mike","affiliations":[],"preferred":false,"id":494434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Wesley","contributorId":29738,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","affiliations":[],"preferred":false,"id":494431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galvin, Mike","contributorId":26972,"corporation":false,"usgs":true,"family":"Galvin","given":"Mike","email":"","affiliations":[],"preferred":false,"id":494430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, Kurt","contributorId":50825,"corporation":false,"usgs":true,"family":"Wolfe","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":494433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carvin, Rebecca","contributorId":97820,"corporation":false,"usgs":true,"family":"Carvin","given":"Rebecca","affiliations":[],"preferred":false,"id":494437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roddick, Tonia","contributorId":40129,"corporation":false,"usgs":true,"family":"Roddick","given":"Tonia","email":"","affiliations":[],"preferred":false,"id":494432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fienen, Mike 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":85507,"corporation":false,"usgs":true,"family":"Fienen","given":"Mike","email":"","affiliations":[],"preferred":false,"id":494436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Corsi, Steve","contributorId":68652,"corporation":false,"usgs":true,"family":"Corsi","given":"Steve","email":"","affiliations":[],"preferred":false,"id":494435,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70045244,"text":"ofr20121247 - 2013 - The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","interactions":[],"lastModifiedDate":"2020-01-13T06:18:45","indexId":"ofr20121247","displayToPublicDate":"2020-01-10T14:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1247","displayTitle":"The Shoreline Management Tool—An ArcMap Tool for Analyzing Water Depth, Inundated Area, Volume, and Selected Habitats, with an Example for the Lower Wood River Valley, Oregon","title":"The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon","docAbstract":"The Shoreline Management Tool is a geographic information system (GIS) based program developed to assist water- and land-resource managers in assessing the benefits and effects of changes in surface-water stage on water depth, inundated area, and water volume. Additionally, the Shoreline Management Tool can be used to identify aquatic or terrestrial habitat areas where conditions may be suitable for specific plants or animals as defined by user-specified criteria including water depth, land-surface slope, and land-surface aspect. The tool can also be used to delineate areas for use in determining a variety of hydrologic budget components such as surface-water storage, precipitation, runoff, or evapotranspiration.
The Shoreline Management Tool consists of two parts, a graphical user interface for use with Esri™ ArcMap™ GIS software to interact with the user to define scenarios and map results, and a spreadsheet in Microsoft® Excel® developed to display tables and graphs of the results. The graphical user interface allows the user to define a scenario consisting of an inundation level (stage), land areas (parcels), and habitats (areas meeting user-specified conditions) based on water depth, slope, and aspect criteria. The tool uses data consisting of land-surface elevation, tables of stage/volume and stage/area, and delineated parcel boundaries to produce maps (data layers) of inundated areas and areas that meet the habitat criteria. The tool can be run in a Single-Time Scenario mode or in a Time-Series Scenario mode, which uses an input file of dates and associated stages. The spreadsheet part of the tool uses a macro to process the results from the graphical user interface to create tables and graphs of inundated water volume, inundated area, dry area, and mean water depth for each land parcel based on the user-specified stage. The macro also creates tables and graphs of the area, perimeter, and number of polygons comprising the user-specified habitat areas within each parcel.
The Shoreline Management Tool is highly transferable, using easily generated or readily available data. The capabilities of the tool are demonstrated using data from the lower Wood River Valley adjacent to Upper Klamath and Agency Lakes in southern Oregon.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121247","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Snyder, D.T., Haluska, T.L., and Respini-Irwin, D., 2013, The Shoreline Management Tool—An ArcMap tool for analyzing water depth, inundated area, volume, and selected habitats, with an example for the lower Wood River Valley, Oregon: U.S. Geological Survey Open-File Report 2012–1247, 86 p. (Also available at https://pubs.usgs.gov/of/2012/1247/.)","productDescription":"Report: viii, 86 p.; 2 Videos: 3 minutes; Companion File","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":270535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121247.jpg","text":"Report"},{"id":371153,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/videos.zip","text":"Videos","size":"45.4 MB","linkFileType":{"id":6,"text":"zip"}},{"id":270531,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1247/ofr20121247.pdf","text":"Report","size":"9.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1247"},{"id":371154,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1247/faq.pdf","text":"Shoreline Management Tool—Frequently Asked Questions","size":"105 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":371166,"rank":5,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_OFR2012-1247_v20130410.zip","text":"Generic version","size":"39 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Intended for use in any area. Required input data must be prepared by the users as described in the report. Example Python scripts are provided to assist with the data preparation. Includes all ancillary files except those specific to the lower Wood River Valley example."},{"id":371167,"rank":6,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NAVD88_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NAVD88","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the North American Vertical Datum of 1988 (NAVD88) for elevation reference. Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."},{"id":371168,"rank":7,"type":{"id":21,"text":"Referenced Work"},"url":"https://water.usgs.gov/GIS/dsdl/ShorelineManagementTool_NGVD29_OFR2012-1247_v20130410.zip","text":"Example version for the Lower Wood River Valley, Oregon - NGVD29/UKLVD","size":"2.0 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":" - Contains all required data for use in the lower Wood River Valley of southern Oregon. Ready to run. Utilizes the National Geodetic Vertical Datum of 1929 (NGVD29) for elevation reference. Also contains data for use with the Upper Klamath Lake Vertical Datum (UKLVD). Useful for training purposes or examination of input datasets and output results. Includes all ancillary files."}],"country":"United States","state":"Oregon","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","contact":"Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
Mailing List
Request to be notified of updates or
receive useful information about the
Shoreline Management Tool
A novel application of self-organizing map (SOM) and multivariate statistical techniques is used to model the nonlinear interaction among basin mineral-resources, mining activity, and surface-water quality. First, the SOM is trained using sparse measurements from 228 sample sites in the Animas River Basin, Colorado. The model performance is validated by comparing stochastic predictions of basin-alteration assemblages and mining activity at 104 independent sites. The SOM correctly predicts (>98%) the predominant type of basin hydrothermal alteration and presence (or absence) of mining activity. Second, application of the Davies–Bouldin criteria to k-means clustering of SOM neurons identified ten unique environmental groups. Median statistics of these groups define a nonlinear water-quality response along the spatiotemporal hydrothermal alteration-mining gradient. These results reveal that it is possible to differentiate among the continuum between inputs of background and mine-related acidity and metals, and it provides a basis for future research and empirical model development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2013.09.036","usgsCitation":"Friedel, M.J., 2013, Data-driven modeling of background and mine-related acidity and metals in river basins: Environmental Pollution, v. 184, p. 530-539, https://doi.org/10.1016/j.envpol.2013.09.036.","productDescription":"10 p.","startPage":"530","endPage":"539","ipdsId":"IP-038503","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":341590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59254a6ee4b0b7ff9fb361b5","contributors":{"authors":[{"text":"Friedel, Michael J","contributorId":119245,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":518130,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160888,"text":"70160888 - 2013 - Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","interactions":[],"lastModifiedDate":"2016-01-04T15:23:01","indexId":"70160888","displayToPublicDate":"2013-10-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","docAbstract":"Magnetic anomalies provide surprising structural detail within the previously undivided Coastal Belt, the westernmost, youngest, and least-metamorphosed part of the Franciscan Complex of northern California. Although the Coastal Belt consists almost entirely of arkosic graywacke and shale of mainly Eocene age, new detailed aeromagnetic data show that it is pervasively marked by long, narrow, and regularly spaced anomalies. These anomalies arise from relatively simple tabular bodies composed principally of magnetic basalt or graywacke confi ned mainly to the top couple of kilometers, even though metamorphic grade indicates that these rocks have been more deeply buried, at depths of 5–8 km. If true, this implies surprisingly uniform uplift of these rocks. The basalt (and associated Cretaceous limestone) occurs largely in the northern part of the Coastal Belt; the graywacke is recognized only in the southern Coastal Belt and is magnetic because it contains andesitic grains. The magnetic grains were not derived from the basalt, and thus require a separate source. The anomalies defi ne simple patterns that can be related to folding and faulting within the Coastal Belt. This apparent simplicity belies complex structure mapped at outcrop scale, which can be explained if the relatively simple tabular bodies are internally deformed, fault-bounded slabs. One mechanism that can explain the widespread lateral extent of the thin layers of basalt is peeling up of the uppermost part of the oceanic crust into the accretionary prism, controlled by porosity and permeability contrasts caused by alteration in the upper part of the subducting slab. It is not clear, however, how this mechanism might generate fault-bounded layers containing magnetic graywacke. We propose that structural domains defined by anomaly trend, wavelength, and source reflect imbrication and folding during the accretion process and local plate interactions as the Mendocino triple junction migrated north, a hypothesis that should be tested by more detailed structural studies.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00942.1","usgsCitation":"Langenheim, V., Jachens, R.C., Wentworth, C.M., and McLaughlin, R.J., 2013, Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data: Geosphere, v. 9, p. 1-17, https://doi.org/10.1130/GES00942.1.","productDescription":"18 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042733","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00942.1","text":"Publisher Index Page"},{"id":313249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coastal Belt of the Franciscan Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.002685546875,\n 41.97582726102573\n ],\n [\n -123.93676757812499,\n 40.70562793820589\n ],\n [\n -123.431396484375,\n 39.26628442213066\n ],\n [\n -122.44262695312501,\n 37.84015683604134\n ],\n [\n -122.6953125,\n 37.83148014503288\n ],\n [\n -123.035888671875,\n 38.09998264736481\n ],\n [\n -123.77197265625,\n 38.90813299596705\n ],\n [\n -123.8818359375,\n 39.842286020743394\n ],\n [\n -124.4091796875,\n 40.23760536584024\n ],\n [\n -124.47509765625,\n 40.65563874006118\n ],\n [\n -124.244384765625,\n 41.03793062246529\n ],\n [\n -124.31030273437499,\n 41.92680320648791\n ],\n [\n -124.002685546875,\n 41.97582726102573\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568ba5dbe4b0e7594ee776b9","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":584164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048170,"text":"ds791 - 2013 - Hydrographs showing groundwater levels for selected wells in the Puyallup River watershed and vicinity, Pierce and King Counties, Washington","interactions":[],"lastModifiedDate":"2015-05-28T16:50:41","indexId":"ds791","displayToPublicDate":"2013-09-13T11:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"791","title":"Hydrographs showing groundwater levels for selected wells in the Puyallup River watershed and vicinity, Pierce and King Counties, Washington","docAbstract":"Hydrographs of groundwater levels for selected wells in and adjacent to the Puyallup River watershed in Pierce and King Counties, Washington, are presented using an interactive Web-based map of the study area to illustrate changes in groundwater levels on a monthly and seasonal basis. The interactive map displays well locations that link to the hydrographs, which in turn link to the U.S. Geological Survey National Water Information System, Groundwater Site Inventory System.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds791","usgsCitation":"Lane, R.C., Julich, R.J., and Justin, G., 2013, Hydrographs showing groundwater levels for selected wells in the Puyallup River watershed and vicinity, Pierce and King Counties, Washington (Originally posted September 13, 2013; Revised and reposted August 25, 2014, Version 1.1; Revised and reposted May 28, 2015, Version 1.2): U.S. Geological Survey Data Series 791, HTML Document; Conversion Factors and Datums; 2 Figures; Table 1; Interactive Map, https://doi.org/10.3133/ds791.","productDescription":"HTML Document; Conversion Factors and Datums; 2 Figures; Table 1; Interactive Map","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":277556,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds791.PNG"},{"id":277549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/791/index.html"},{"id":277553,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/figure1.html","text":"Figure 1","linkFileType":{"id":5,"text":"html"},"description":"Figure 1"},{"id":277552,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/conversions.html","text":"Conversion Factors and Datums","linkFileType":{"id":5,"text":"html"},"description":"Conversion Factors and Datums"},{"id":277554,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/figure2.html","text":"Figure 2","linkFileType":{"id":5,"text":"html"},"description":"Figure 2"},{"id":277555,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/791/ds791_table1.xlsx","text":"Table 1","size":"23 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 1"},{"id":277560,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://wa.water.usgs.gov/projects/puyallupgw/hydrographs.htm","text":"Interactive Map","description":"Interactive Map"}],"country":"United States","state":"Washington","county":"King County, Pierce County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.47764587402344,\n 47.43319679984749\n ],\n [\n -122.0972442626953,\n 47.43366127871628\n ],\n [\n -122.0969009399414,\n 47.34580193235629\n ],\n [\n -121.84661865234374,\n 47.34487142066085\n ],\n [\n -121.8445587158203,\n 47.26292215345572\n ],\n [\n -121.48681640624999,\n 47.265252010946085\n ],\n [\n -121.48406982421875,\n 46.992431036151324\n ],\n [\n -121.981201171875,\n 46.992431036151324\n ],\n [\n -121.97982788085938,\n 46.91322000960565\n ],\n [\n -122.35816955566406,\n 46.91087470241917\n ],\n [\n -122.35954284667967,\n 47.08415026205488\n ],\n [\n -122.4872589111328,\n 47.08321514774161\n ],\n [\n -122.47764587402344,\n 47.43319679984749\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Originally posted September 13, 2013; Revised and reposted August 25, 2014, Version 1.1; Revised and reposted May 28, 2015, Version 1.2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52342605e4b0b9e9b3336cda","contributors":{"authors":[{"text":"Lane, R. C.","contributorId":6421,"corporation":false,"usgs":true,"family":"Lane","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":483911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Julich, R. J.","contributorId":85666,"corporation":false,"usgs":true,"family":"Julich","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Justin, G.B.","contributorId":99658,"corporation":false,"usgs":true,"family":"Justin","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":483913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047949,"text":"70047949 - 2013 - Remote detection of magmatic water in Bullialdus crater on the Moon","interactions":[],"lastModifiedDate":"2013-09-03T12:58:14","indexId":"70047949","displayToPublicDate":"2013-09-03T12:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Remote detection of magmatic water in Bullialdus crater on the Moon","docAbstract":"Once considered dry compared with Earth, laboratory analyses of igneous components of lunar samples have suggested that the Moon’s interior is not entirely anhydrous. Water and hydroxyl have also been detected from orbit on the lunar surface, but these have been attributed to nonindigenous sources, such as interactions with the solar wind. Magmatic lunar volatiles—evidence for water indigenous to the lunar interior—have not previously been detected remotely. Here we analyse spectroscopic data from the Moon Mineralogy Mapper (M3) and report that the central peak of Bullialdus Crater is significantly enhanced in hydroxyl relative to its surroundings. We suggest that the strong and localized hydroxyl absorption features are inconsistent with a surficial origin. Instead, they are consistent with hydroxyl bound to magmatic minerals that were excavated from depth by the impact that formed Bullialdus Crater. Furthermore, estimates of thorium concentration in the central peak using data from the Lunar Prospector orbiter indicate an enhancement in incompatible elements, in contrast to the compositions of water-bearing lunar samples. We suggest that the hydroxyl-bearing material was excavated from a magmatic source that is distinct from that of samples analysed thus far.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature","doi":"10.1038/NGEO1909","usgsCitation":"Klima, R.L., Cahill, J., Hagerty, J., and Lawrence, D., 2013, Remote detection of magmatic water in Bullialdus crater on the Moon: Nature Geoscience, v. 6, no. 9, p. 737-741, https://doi.org/10.1038/NGEO1909.","productDescription":"5 p.","startPage":"737","endPage":"741","numberOfPages":"5","ipdsId":"IP-039858","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":277244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/NGEO1909"}],"otherGeospatial":"Bullialdus Crater;Moon","volume":"6","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-08-25","publicationStatus":"PW","scienceBaseUri":"5226f6e0e4b01904cf5a814f","contributors":{"authors":[{"text":"Klima, Rachel L.","contributorId":18666,"corporation":false,"usgs":false,"family":"Klima","given":"Rachel","email":"","middleInitial":"L.","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":483372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahill, John","contributorId":28516,"corporation":false,"usgs":true,"family":"Cahill","given":"John","email":"","affiliations":[],"preferred":false,"id":483373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":483371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, David","contributorId":59333,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","affiliations":[],"preferred":false,"id":483374,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047523,"text":"ds783 - 2013 - Locations and attributes of wind turbines in New Mexico, 2011","interactions":[],"lastModifiedDate":"2013-08-08T12:56:48","indexId":"ds783","displayToPublicDate":"2013-08-08T12:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"783","title":"Locations and attributes of wind turbines in New Mexico, 2011","docAbstract":"This dataset represents an update to U.S. Geological Survey Data Series 596. Locations and attributes of wind turbines in New Mexico, 2009 (available at http://pubs.usgs.gov/ds/596/).This updated New Mexico wind turbine Data Series provides geospatial data for all 562 wind turbines established within the State of New Mexico as of June 2011, an increase of 155 wind turbines from 2009.\n\nAttributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, and year the facility went online. The locations of turbines are derived from 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program (NAIP); the photographs have a positional accuracy of about ±5 meters. The locations of turbines constructed during or prior to August 2009 are based on August 2009 NAIP imagery and turbine locations constructed after August 2009 were based June 2011 NAIP imagery. The location of turbines under construction during June 2011 likely will be less accurate than the location of existing turbines.\n\nThis data series contributes to an Online Interactive Energy Atlas developed by the U.S. Geological Survey (http://my.usgs.gov/eerma/). The Energy Atlas synthesizes data on existing and potential energy development in Colorado and New Mexico and includes additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools also are included in the Energy Atlas. The format of the Energy Atlas is designed to facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds783","usgsCitation":"Carr, N.B., Diffendorfer, J.B., Fancher, T.S., Hawkins, S.J., Latysh, N., Leib, K.J., and Matherne, A.M., 2013, Locations and attributes of wind turbines in New Mexico, 2011: U.S. Geological Survey Data Series 783, 3 p.; Downloads Directory, https://doi.org/10.3133/ds783.","productDescription":"3 p.; Downloads Directory","numberOfPages":"3","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":276221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds783.png"},{"id":276220,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/783/downloads/"},{"id":276218,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/783/"},{"id":276219,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/ds/783/pdf/DS783_abstract-508.pdf"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.05,31.33 ], [ -109.05,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.05,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdae4b0403aa62629b2","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James B.","contributorId":62120,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":482260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":482256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482254,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}