{"pageNumber":"67","pageRowStart":"1650","pageSize":"25","recordCount":37001,"records":[{"id":70138587,"text":"ofr20151009 - 2015 - Update of the Graizer-Kalkan ground-motion prediction equations for shallow crustal continental earthquakes","interactions":[],"lastModifiedDate":"2015-02-11T09:05:10","indexId":"ofr20151009","displayToPublicDate":"2015-02-05T14:15:00","publicationYear":"2015","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":"2015-1009","title":"Update of the Graizer-Kalkan ground-motion prediction equations for shallow crustal continental earthquakes","docAbstract":"<p>A ground-motion prediction equation (GMPE) for computing medians and standard deviations of peak ground acceleration and 5-percent damped pseudo spectral acceleration response ordinates of maximum horizontal component of randomly oriented ground motions was developed by Graizer and Kalkan (2007, 2009) to be used for seismic hazard analyses and engineering applications. This GMPE was derived from the greatly expanded Next Generation of Attenuation (NGA)-West1 database. In this study, Graizer and Kalkan&rsquo;s GMPE is revised to include (1) an anelastic attenuation term as a function of quality factor (Q0) in order to capture regional differences in large-distance attenuation and (2) a new frequency-dependent sedimentary-basin scaling term as a function of depth to the 1.5-km/s shear-wave velocity isosurface to improve ground-motion predictions for sites on deep sedimentary basins. The new model (GK15), developed to be simple, is applicable to the western United States and other regions with shallow continental crust in active tectonic environments and may be used for earthquakes with moment magnitudes 5.0&ndash;8.0, distances 0&ndash;250 km, average shear-wave velocities 200&ndash;1,300 m/s, and spectral periods 0.01&ndash;5 s. Directivity effects are not explicitly modeled but are included through the variability of the data. Our aleatory variability model captures inter-event variability, which decreases with magnitude and increases with distance. The mixed-effects residuals analysis shows that the GK15 reveals no trend with respect to the independent parameters. The GK15 is a significant improvement over Graizer and Kalkan (2007, 2009), and provides a demonstrable, reliable description of ground-motion amplitudes recorded from shallow crustal earthquakes in active tectonic regions over a wide range of magnitudes, distances, and site conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151009","collaboration":"Prepared in cooperation with the U.S. Nuclear Regulatory Commission","usgsCitation":"Graizer, V., and Kalkan, E., 2015, Update of the Graizer-Kalkan ground-motion prediction equations for shallow crustal continental earthquakes: U.S. Geological Survey Open-File Report 2015-1009, vii, 79 p., https://doi.org/10.3133/ofr20151009.","productDescription":"vii, 79 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049464","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":297762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151009.gif"},{"id":297761,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1009/downloads/ofr2015-1009.pdf","text":"Report","size":"21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297760,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1009/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac7e4b08de9379b31ff","contributors":{"authors":[{"text":"Graizer, Vladimir","contributorId":138813,"corporation":false,"usgs":false,"family":"Graizer","given":"Vladimir","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":539921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":539922,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70138588,"text":"ofr20151008 - 2015 - Social Values for Ecosystem Services, version 3.0 (SolVES 3.0): documentation and user manual","interactions":[],"lastModifiedDate":"2015-02-04T14:31:17","indexId":"ofr20151008","displayToPublicDate":"2015-02-04T14:30:00","publicationYear":"2015","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":"2015-1008","title":"Social Values for Ecosystem Services, version 3.0 (SolVES 3.0): documentation and user manual","docAbstract":"<p><span>The geographic information system (GIS) tool,&nbsp;</span><i>S</i><span>ocial<span>&nbsp;</span></span><i>V</i><span>alues for<span>&nbsp;</span></span><i>E</i><span>cosystem<span>&nbsp;</span></span><i>S</i><span>ervices (SolVES), was developed to incorporate quantified and spatially explicit measures of social values into ecosystem service assessments. SolVES 3.0 continues to extend the functionality of SolVES, which was designed to assess, map, and quantify the social values of ecosystem services. Social values&mdash;the perceived, nonmarket values the public ascribes to ecosystem services, particularly cultural services, such as aesthetics and recreation&mdash;can be evaluated for various stakeholder groups. These groups are distinguishable by their attitudes and preferences regarding public uses, such as motorized recreation and logging. As with previous versions, SolVES 3.0 derives a quantitative 10-point, social-values metric&mdash;the value index&mdash;from a combination of spatial and nonspatial responses to public value and preference surveys. The tool also calculates metrics characterizing the underlying environment, such as average distance to water and dominant landcover. SolVES 3.0 is integrated with Maxent maximum entropy modeling software to generate more complete social-value maps and offer robust statistical models describing the relationship between the value index and explanatory environmental variables. A model&rsquo;s goodness of fit to a primary study area and its potential performance in transferring social values to similar areas using value-transfer methodology can be evaluated. SolVES 3.0 provides an improved public-domain tool for decision makers and researchers to evaluate the social values of ecosystem services and to facilitate discussions among diverse stakeholders regarding the tradeoffs among ecosystem services in a variety of physical and social contexts ranging from forest and rangeland to coastal and marine.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151008","usgsCitation":"Sherrouse, B.C., and Semmens, D.J., 2015, Social Values for Ecosystem Services, version 3.0 (SolVES 3.0): documentation and user manual: U.S. Geological Survey Open-File Report 2015-1008, Report: vi, 65 p.; SolVES 3.0, https://doi.org/10.3133/ofr20151008.","productDescription":"Report: vi, 65 p.; SolVES 3.0","startPage":"65","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059598","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":297741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151008.jpg"},{"id":297738,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1008/"},{"id":297739,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1008/pdf/ofr2015-1008.pdf","text":"Report","size":"5.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297740,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1008/downloads/SolVES_V3.zip","text":"SolVES 3.0","size":"54.2 MB","description":"SolVES 3.0"}],"publicComments":"Land Change Science Program","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab4e4b08de9379b3198","contributors":{"authors":[{"text":"Sherrouse, Benson C. 0000-0002-5102-5895 bcsherrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-5102-5895","contributorId":2445,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"bcsherrouse@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":539842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":539843,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139778,"text":"ofr20151023 - 2015 - Geologic map of the Patagonia Mountains, Santa Cruz County, Arizona","interactions":[],"lastModifiedDate":"2015-02-05T12:54:00","indexId":"ofr20151023","displayToPublicDate":"2015-02-04T13:15:00","publicationYear":"2015","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":"2015-1023","title":"Geologic map of the Patagonia Mountains, Santa Cruz County, Arizona","docAbstract":"<p>The Patagonia Mountains contain two large porphyry Cu-Mo systems each with separate associated hypogene and supergene zones, two high-grade Cu-Mo breccia pipes, one large epithermal Ag-Pb-Zn-Mn deposit, and numerous additional areas of base- and precious-metal mineralization all zoned around a Laramide-age composite batholith of intermediate composition. Compilations and new work by Vikre and others (2014) have identified as many as eight separate intrusive phases of the batholith and five separate hydrothermal events spanning at least 16 m.y., in addition to a supergene enrichment event of middle Tertiary age. The geologic map presents a spatial context for this important new information that is intended to support further work in this highly mineralized region.</p>\n<p>Several spatial databases provide data for the geologic map of the Patagonia Mountains in Arizona. The data can be viewed and queried in ArcGIS 10, a geographic information system; a geologic map is also available in PDF format. All products are available online only.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151023","usgsCitation":"Graybeal, F., Moyer, L.A., Vikre, P.G., Dunlap, P., and Wallis, J., 2015, Geologic map of the Patagonia Mountains, Santa Cruz County, Arizona: U.S. Geological Survey Open-File Report 2015-1023, Pamphlet: 10 p.; Mapsheet: 38.57 x 31.32 inches; Spatial database; Readme; Metadata, https://doi.org/10.3133/ofr20151023.","productDescription":"Pamphlet: 10 p.; Mapsheet: 38.57 x 31.32 inches; Spatial database; Readme; Metadata","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056357","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":297737,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151023.gif"},{"id":297734,"rank":1,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1023/downloads/GIS_PatagoniaMtns.zip","text":"Spatial database","size":"8.5 MB","description":"Spatial database","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files (all metadata files are zipped as a single file) for more information."},{"id":297735,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2015/1023/readme.txt"},{"id":297736,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1023/Metadata.zip"},{"id":297733,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1023/"}],"scale":"48000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Arizona","county":"Santa Cruz County","otherGeospatial":"Patagonia Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.83934783935547,\n              31.332818285711372\n            ],\n            [\n              -110.83934783935547,\n              31.538456424018218\n            ],\n            [\n              -110.63060760498047,\n              31.538456424018218\n            ],\n            [\n              -110.63060760498047,\n              31.332818285711372\n            ],\n            [\n              -110.83934783935547,\n              31.332818285711372\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a81e4b08de9379b30ae","contributors":{"authors":[{"text":"Graybeal, Frederick","contributorId":139000,"corporation":false,"usgs":false,"family":"Graybeal","given":"Frederick","email":"","affiliations":[{"id":12586,"text":"Consultant","active":true,"usgs":false}],"preferred":true,"id":539838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moyer, Lorre A.","contributorId":106152,"corporation":false,"usgs":true,"family":"Moyer","given":"Lorre","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":539839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vikre, Peter G. 0000-0001-7895-5972 pvikre@usgs.gov","orcid":"https://orcid.org/0000-0001-7895-5972","contributorId":139033,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter","email":"pvikre@usgs.gov","middleInitial":"G.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":539837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunlap, Pamela pdunlap@usgs.gov","contributorId":5329,"corporation":false,"usgs":true,"family":"Dunlap","given":"Pamela","email":"pdunlap@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":539840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallis, John C.","contributorId":45755,"corporation":false,"usgs":true,"family":"Wallis","given":"John C.","affiliations":[],"preferred":false,"id":539841,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70134058,"text":"ofr20141241 - 2015 - Movements of wild pigs in Louisiana and Mississippi, 2011-13","interactions":[],"lastModifiedDate":"2015-02-04T11:11:07","indexId":"ofr20141241","displayToPublicDate":"2015-02-04T11:00:00","publicationYear":"2015","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":"2014-1241","title":"Movements of wild pigs in Louisiana and Mississippi, 2011-13","docAbstract":"<p><span>The prolific breeding capability, behavioral adaptation, and adverse environmental impacts of invasive wild pigs (</span><i>Sus scrofa</i><span>) have increased efforts towards managing their populations and understanding their movements. Currently, little is known about wild pig populations and movements in Louisiana and Mississippi. From 2011 to 2013, the U.S. Geological Survey investigated spatial and temporal movements of wild pigs in both marsh and nonmarsh physiographic regions. Twenty-one Global Positioning System satellite telemetry tracking collars were installed on adult wild pigs captured with trained dogs and released. Coordinates of their locations were recorded hourly. We collected 16,674 hourly data points including date, time, air temperature, and position during a 3-year study. Solar and lunar attributes, such as sun and moon phases and azimuth angles, were not related significantly to the movements among wild pigs. Movements were significantly correlated negatively with air temperature. Differences in movements between seasons and years were observed. On average, movements of boars were significantly greater than those of sows. Average home range, determined by using a minimum convex polygon as a proxy, was 911 hectares for boars, whereas average home range for sows was 116 hectares. Wild pigs in marsh habitat traveled lesser distances relative to those from more arid, nonmarsh habitats. Overall, results of this study indicate that wild pigs in Louisiana and Mississippi have small home ranges. These small home ranges suggest that natural movements have not been a major factor in the recent broad-scale range expansion observed in this species in the United States.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141241","usgsCitation":"Hartley, S.B., Goatcher, B.L., and Sapkota, S., 2015, Movements of wild pigs in Louisiana and Mississippi, 2011-13: U.S. Geological Survey Open-File Report 2014-1241, Report: vi, 11 p.; Data, https://doi.org/10.3133/ofr20141241.","productDescription":"Report: vi, 11 p.; Data","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057377","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":297731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141241.jpg"},{"id":297729,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1241/pdf/ofr2014-1241.pdf","text":"Report","size":"793 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297730,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1241/downloads/of2014-1241_data.xlsx","text":"Data","size":"1.95 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"Data"},{"id":297728,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1241/"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.812255859375,\n              32.05930026106166\n            ],\n            [\n              -93.812255859375,\n              32.90726224488304\n            ],\n            [\n              -93.2464599609375,\n              32.90726224488304\n            ],\n            [\n              -93.2464599609375,\n              32.05930026106166\n            ],\n            [\n              -93.812255859375,\n              32.05930026106166\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.8399658203125,\n              29.568679425235135\n            ],\n            [\n              -92.8399658203125,\n              30.420256142845158\n            ],\n            [\n              -91.4556884765625,\n              30.420256142845158\n            ],\n            [\n              -91.4556884765625,\n              29.568679425235135\n            ],\n            [\n              -92.8399658203125,\n              29.568679425235135\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.703369140625,\n              30.164126343161097\n            ],\n            [\n              -89.703369140625,\n              30.500750980290693\n            ],\n            [\n              -89.1485595703125,\n              30.500750980290693\n            ],\n            [\n              -89.1485595703125,\n              30.164126343161097\n            ],\n            [\n              -89.703369140625,\n              30.164126343161097\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9ce4b08de9379b3139","contributors":{"authors":[{"text":"Hartley, Stephen B. 0000-0003-1380-2769 hartleys@usgs.gov","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":4164,"corporation":false,"usgs":true,"family":"Hartley","given":"Stephen","email":"hartleys@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":525667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goatcher, Buddy L.","contributorId":106361,"corporation":false,"usgs":true,"family":"Goatcher","given":"Buddy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":525669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sapkota, Sijan sapkotas@usgs.gov","contributorId":2995,"corporation":false,"usgs":true,"family":"Sapkota","given":"Sijan","email":"sapkotas@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":525668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70140152,"text":"ofr20141258 - 2015 - Lake Michigan Diversion Accounting land cover change estimation by use of the National Land Cover Dataset and raingage network partitioning analysis","interactions":[],"lastModifiedDate":"2015-02-04T10:58:40","indexId":"ofr20141258","displayToPublicDate":"2015-02-04T10:45:00","publicationYear":"2015","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":"2014-1258","title":"Lake Michigan Diversion Accounting land cover change estimation by use of the National Land Cover Dataset and raingage network partitioning analysis","docAbstract":"<p>The U.S. Army Corps of Engineers (USACE), Chicago District, is responsible for monitoring and computation of the quantity of Lake Michigan water diverted by the State of Illinois. As part of this effort, the USACE uses the Hydrological Simulation Program&ndash;FORTRAN (HSPF) with measured meteorological data inputs to estimate runoff from the Lake Michigan diversion special contributing areas (SCAs), the North Branch Chicago River above Niles and the Little Calumet River above South Holland gaged basins, and the Lower Des Plaines and the Calumet ungaged that historically drained to Lake Michigan. These simulated runoffs are used for estimating the total runoff component from the diverted Lake Michigan watershed, which is accountable to the total diversion by the State of Illinois. The runoff is simulated from three interpreted land cover types in the HSPF models: impervious, grass, and forest. The three land cover data types currently in use were derived from aerial photographs acquired in the early 1990s.</p>\n<p>This study used the National Land Cover Dataset (NLCD) and developed an automated process for determining the area of the three land cover types, thereby allowing faster updating of future models, and for evaluating land cover changes by use of historical NLCD datasets. The study also carried out a raingage partitioning analysis so that the segmentation of land cover and rainfall in each modeled unit is directly applicable to the HSPF modeling. Historical and existing impervious, grass, and forest land acreages partitioned by percentages covered by two sets of raingages for the Lake Michigan diversion SCAs, gaged basins, and ungaged basins are presented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Chicago District","usgsCitation":"Sharpe, J.B., and Soong, D.T., 2015, Lake Michigan Diversion Accounting land cover change estimation by use of the National Land Cover Dataset and raingage network partitioning analysis: U.S. Geological Survey Open-File Report 2014-1258, Report: iv, 12 p.; Downloads Directory, https://doi.org/10.3133/ofr20141258.","productDescription":"Report: iv, 12 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060110","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":297727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141258.jpg"},{"id":297724,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1258/"},{"id":297725,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1258/pdf/ofr2014-1258.pdf","text":"Report","size":"2.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297726,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1258/downloads/ofr2014-1258_tables5-20.xlsx","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: Excel spreadsheets of tables 5 through 20."}],"projection":"Albers Equal-Area Conic Projection","country":"United States","state":"Illinois","otherGeospatial":"Calumet River, Lake Michigan, Little Calumet River, Lower Des Plaines River, North Branch Chicago River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.989501953125,\n              41.3500103516271\n            ],\n            [\n              -87.989501953125,\n              42.370720143531955\n            ],\n            [\n              -87.286376953125,\n              42.370720143531955\n            ],\n            [\n              -87.286376953125,\n              41.3500103516271\n            ],\n            [\n              -87.989501953125,\n              41.3500103516271\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a8de4b08de9379b30ee","contributors":{"authors":[{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T. dsoong@usgs.gov","contributorId":2230,"corporation":false,"usgs":true,"family":"Soong","given":"David","email":"dsoong@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539830,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139655,"text":"ofr20141238 - 2015 - Maps showing the change in modern sediment thickness on the Inner Continental Shelf offshore of Fire Island, New York, between 1996-97 and 2011","interactions":[],"lastModifiedDate":"2015-02-03T11:45:19","indexId":"ofr20141238","displayToPublicDate":"2015-02-03T11:30:00","publicationYear":"2015","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":"2014-1238","title":"Maps showing the change in modern sediment thickness on the Inner Continental Shelf offshore of Fire Island, New York, between 1996-97 and 2011","docAbstract":"<p><span>The U.S. Geological Survey mapped approximately 336 square kilometers of the lower shoreface and inner continental shelf offshore of Fire Island, New York, in 1996 and 1997, using high-resolution sidescan-sonar and seismic-reflection systems, and again in 2011, using interferometric sonar and high-resolution chirp seismic-reflection systems. This report presents a comparison of sediment thickness and distribution as mapped during these two investigations. These spatial data support research on the Quaternary evolution of the Fire Island coastal system and provide baseline information for research on coastal processes along southern Long Island.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141238","usgsCitation":"Schwab, W.C., Baldwin, W.E., and Denny, J.F., 2015, Maps showing the change in modern sediment thickness on the Inner Continental Shelf offshore of Fire Island, New York, between 1996-97 and 2011: U.S. Geological Survey Open-File Report 2014-1238, Report: HTML Document; Report: v, 8 p., https://doi.org/10.3133/ofr20141238.","productDescription":"Report: HTML Document; Report: v, 8 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1996-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-058163","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141238.JPG"},{"id":297709,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1238/pdf/ofr2014-1238.pdf","text":"Report (PDF format)","size":"2.42 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297707,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1238/"},{"id":297708,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1238/ofr2014-1238-title_page.html","text":"Report (HTML format)","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator projection","datum":"World Geodetic System 1984","country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.3392333984375,\n              40.64521960545374\n            ],\n            [\n              -72.43560791015625,\n              40.887562618139405\n            ],\n            [\n              -72.41912841796875,\n              40.63375667842965\n            ],\n            [\n              -73.32412719726562,\n              40.42395127765169\n            ],\n            [\n              -73.3392333984375,\n              40.64521960545374\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a95e4b08de9379b3115","contributors":{"authors":[{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":539500,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70139779,"text":"ofr20151020 - 2015 - Mercury and selenium contamination in waterbird eggs and risk to avian reproduction at Great Salt Lake, Utah","interactions":[],"lastModifiedDate":"2020-04-30T11:37:38.243248","indexId":"ofr20151020","displayToPublicDate":"2015-02-02T16:45:00","publicationYear":"2015","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":"2015-1020","title":"Mercury and selenium contamination in waterbird eggs and risk to avian reproduction at Great Salt Lake, Utah","docAbstract":"<p>The wetlands of the Great Salt Lake ecosystem are recognized regionally, nationally, and hemispherically for their importance as breeding, wintering, and migratory habitat for diverse groups of waterbirds. Bear River Migratory Bird Refuge is the largest freshwater component of the Great Salt Lake ecosystem and provides critical breeding habitat for more than 60 bird species. However, the Great Salt Lake ecosystem also has a history of both mercury and selenium contamination, and this pollution could reduce the health and reproductive success of waterbirds. The overall objective of this study was to evaluate the risk of mercury and selenium contamination to birds breeding within Great Salt Lake, especially at Bear River Migratory Bird Refuge, and to identify the waterbird species and areas at greatest risk to contamination. We sampled eggs from 33 species of birds breeding within wetlands of Great Salt Lake during 2010 ̶ 2012 and focused on American avocets (<i>Recurvirostra americana</i>), black-necked stilts (<i>Himantopus mexicanus</i>), Forster&rsquo;s terns (<i>Sterna forsteri</i>), white-faced ibis (<i>Plegadis chihi</i>), and marsh wrens (<i>Cistothorus palustris</i>) for additional studies of the effects of contaminants on reproduction.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151020","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Ackerman, J., Herzog, M., Hartman, C.A., Isanhart, J., Herring, G., Vaughn, S., Cavitt, J.F., Eagles-Smith, C.A., Browers, H., Cline, C., and Vest, J., 2015, Mercury and selenium contamination in waterbird eggs and risk to avian reproduction at Great Salt Lake, Utah: U.S. Geological Survey Open-File Report 2015-1020, Report: x, 164 p.; Data Release, https://doi.org/10.3133/ofr20151020.","productDescription":"Report: x, 164 p.; Data Release","numberOfPages":"178","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061800","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":297692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151020.jpg"},{"id":297691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1020/pdf/ofr2015-1020.pdf","text":"Report","size":"15.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297690,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1020/"},{"id":374389,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H4US4N","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Mercury and selenium concentrations in bird eggs at Great Salt Lake, Utah"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.18115234375,\n              41.705728515237524\n            ],\n            [\n              -112.82958984375,\n              41.80407814427234\n            ],\n            [\n              -112.21435546875,\n              41.590796851056005\n            ],\n            [\n              -111.99462890625,\n              41.44272637767212\n            ],\n            [\n              -111.8408203125,\n              40.96330795307353\n            ],\n            [\n              -112.17041015625,\n              40.56389453066509\n            ],\n            [\n              -112.939453125,\n              40.88029480552824\n            ],\n            [\n          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P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":539723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, Christopher A. chartman@usgs.gov","contributorId":5242,"corporation":false,"usgs":true,"family":"Hartman","given":"Christopher","email":"chartman@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":539724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isanhart, John P.","contributorId":20209,"corporation":false,"usgs":true,"family":"Isanhart","given":"John P.","affiliations":[],"preferred":false,"id":539725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herring, Garth 0000-0003-1106-4731 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ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539729,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Browers, Howard","contributorId":139010,"corporation":false,"usgs":false,"family":"Browers","given":"Howard","email":"","affiliations":[],"preferred":false,"id":539730,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cline, Chris","contributorId":139011,"corporation":false,"usgs":false,"family":"Cline","given":"Chris","email":"","affiliations":[],"preferred":false,"id":539731,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vest, Josh","contributorId":24240,"corporation":false,"usgs":false,"family":"Vest","given":"Josh","affiliations":[],"preferred":false,"id":539732,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70139777,"text":"ofr20151017 - 2015 - A framework for modeling anthropogenic impacts on waterbird habitats: addressing future uncertainty in conservation planning","interactions":[],"lastModifiedDate":"2017-02-08T13:32:17","indexId":"ofr20151017","displayToPublicDate":"2015-02-02T14:30:00","publicationYear":"2015","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":"2015-1017","title":"A framework for modeling anthropogenic impacts on waterbird habitats: addressing future uncertainty in conservation planning","docAbstract":"<p><span>The amount and quality of natural resources available for terrestrial and aquatic wildlife habitats are expected to decrease throughout the world in areas that are intensively managed for urban and agricultural uses. Changes in climate and management of increasingly limited water supplies may further impact water resources essential for sustaining habitats. In this report, we document adapting a Water Evaluation and Planning (WEAP) system model for the Central Valley of California. We demonstrate using this adapted model (WEAP-CV</span><sub>wh</sub><span>) to evaluate impacts produced from plausible future scenarios on agricultural and wetland habitats used by waterbirds and other wildlife. Processed output from WEAP-CV</span><sub>wh</sub><span>&nbsp;indicated varying levels of impact caused by projected climate, urbanization, and water supply management in scenarios used to exemplify this approach. Among scenarios, the NCAR-CCSM3 A2 climate projection had a greater impact than the CNRM-CM3 B1 climate projection, whereas expansive urbanization had a greater impact than strategic urbanization, on annual availability of waterbird habitat. Scenarios including extensive rice-idling or substantial instream flow requirements on important water supply sources produced large impacts on annual availability of waterbird habitat. In the year corresponding with the greatest habitat reduction for each scenario, the scenario including instream flow requirements resulted in the greatest decrease in habitats throughout all months of the wintering period relative to other scenarios. This approach provides a new and useful tool for habitat conservation planning in the Central Valley and a model to guide similar research investigations aiming to inform conservation, management, and restoration of important wildlife habitats.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151017","collaboration":"Prepared in cooperation with the California Landscape Conservation Cooperative, California Department of Fish and Wildlife, and U.S. Fish and Wildlife Service","usgsCitation":"Matchett, E., Fleskes, J.P., Young, C., and Purkey, D.R., 2015, A framework for modeling anthropogenic impacts on waterbird habitats: addressing future uncertainty in conservation planning: U.S. Geological Survey Open-File Report 2015-1017, vi, 40 p., https://doi.org/10.3133/ofr20151017.","productDescription":"vi, 40 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053267","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":334995,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H13050","text":"Data for projected impacts of climate, urbanization, water management, and wetland restoration on waterbird habitat in California’s Central Valley"},{"id":297683,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1017/"},{"id":297684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151017.PNG"},{"id":297685,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1017/pdf/ofr2015-1017.pdf","text":"Report","size":"3.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.16748046874999,\n              34.59704151614417\n            ],\n            [\n              -124.16748046874999,\n              40.68063802521456\n            ],\n            [\n              -119.68505859375,\n              40.68063802521456\n            ],\n            [\n              -119.68505859375,\n              34.59704151614417\n            ],\n            [\n              -124.16748046874999,\n              34.59704151614417\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a4ae4b08de9379b2fc4","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":539694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":539695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Charles A.","contributorId":139008,"corporation":false,"usgs":false,"family":"Young","given":"Charles A.","affiliations":[],"preferred":false,"id":539698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Purkey, David R.","contributorId":139005,"corporation":false,"usgs":false,"family":"Purkey","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":539696,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70137956,"text":"ofr20151007 - 2015 - Geospatial datasets for assessing the effects of rangeland conditions on dissolved-solids yields in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2016-04-12T17:29:26","indexId":"ofr20151007","displayToPublicDate":"2015-02-02T08:30:00","publicationYear":"2015","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":"2015-1007","title":"Geospatial datasets for assessing the effects of rangeland conditions on dissolved-solids yields in the Upper Colorado River Basin","docAbstract":"<p><span>In 2009, the U.S. Geological Survey (USGS) developed a Spatially Referenced Regressions on Watershed Attributes (SPARROW) surface-water quality model for the Upper Colorado River Basin (UCRB) relating dissolved-solids sources and transport in the 1991 water year to upstream catchment characteristics. The SPARROW model focused on geologic and agricultural sources of dissolved solids in the UCRB and was calibrated using water-year 1991 dissolved-solids loads from 218 monitoring sites. A new UCRB SPARROW model is planned that will update the investigation of dissolved-solids sources and transport in the basin to circa 2010 conditions and will improve upon the 2009 model by incorporating more detailed information about agricultural-irrigation and rangeland-management practices, among other improvements. Geospatial datasets relating to circa 2010 rangeland conditions are required for the new UCRB SPARROW modeling effort. This study compiled geospatial datasets for the UCRB that relate to the biotic alterations and rangeland conditions of grazing, fire and other land disturbance, and vegetation type and cover. Datasets representing abiotic alterations of access control (off-highway vehicles) and sediment generation and transport in general, were also compiled. These geospatial datasets may be tested in the upcoming SPARROW model to better understand the potential contribution of rangelands to dissolved-solids loading in UCRB streams.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151007","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Tillman, F., Flynn, M., and Anning, D.W., 2015, Geospatial datasets for assessing the effects of rangeland conditions on dissolved-solids yields in the Upper Colorado River Basin: U.S. Geological Survey Open-File Report 2015-1007, Report: v, 21 p.; 6 Geospatial Datasets, https://doi.org/10.3133/ofr20151007.","productDescription":"Report: v, 21 p.; 6 Geospatial Datasets","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060100","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":297671,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151007.gif"},{"id":297670,"rank":9,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1007/downloads/datasets/UCRB_R-factor.zip","text":"Rainfall-Runoff Erosivity","size":"962 kB","description":"Geospatial dataset","linkHelpText":"This tabular dataset presents the 1971–2000 average annual rainfall-runoff erosivity factor (R-factor) for the UCRB. The R-factor is a measure of the cumulative erosive force of individual precipitation events (Daly and Taylor, 2002). All other factors being constant, sediment generation from precipitation is directly proportional to the product of the total kinetic energy of a storm and the storm’s maximum 30-minute intensity. The mean annual R-factor is a sum of this product for all storms in a year, averaged over all years of record (Daly and Taylor, 2002)."},{"id":297663,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1007/"},{"id":297668,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1007/downloads/datasets/2010_UCRB_VegTypeCover.zip","text":"Existing Vegetation Type and Cover","size":"540 MB","description":"Geospatial dataset","linkHelpText":"These layers include information on the vegetation type and vegetation cover in 2010 in the UCRB. The 2010 existing vegetation cover (EVC) layer represents the vertically projected percent cover of the live canopy layer. The 2010 existing vegetation type (EVT) layer represents the species composition. Spatially, both grids cover the entire UCRB and have a 30-meter pixel resolution."},{"id":297664,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1007/downloads/OFR2015-1007.pdf","text":"Report","size":"5.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297666,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1007/downloads/datasets/2010_UCRB_USFS_Grazing_projected.zip","text":"U.S. Forest Service Grazing","size":"3.8 MB","description":"Geospatial dataset","linkHelpText":"The shapefile contains 444 polygons of USFS grazing allotments within or bordering the UCRB (fig. 4). Attributes for the allotment polygons include the allotment name (RMU_NAME) and number (RMU_CN), the authorized number of animal unit months for the allotment (AUTH_AUMS), and the area of the allotment in both acres (AREA_acres) and square kilometers (AREA_km2). USFS-billed grazing is referred to as the \"authorized\" amount and is equivalent to BLM’s \"billed\" grazing (U.S. Government Accountability Office, 2005)."},{"id":297669,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1007/downloads/datasets/2010_UCRB_Roads.zip","text":"2010 Roads","size":"172 MB","description":"Geospatial dataset","linkHelpText":"This layer contains information about the location and type of roads in the UCRB in 2010. One value in the MAF/TIGER Feature Class Code (MTFCC) attribute field in the roads layer is S1500, named \"Vehicular Trail (4WD)\", and is described as \"an unpaved dirt trail where a four-wheel drive vehicle is required\" (table 5). The Vehicular Trail (4WD) attribute presents potential UCRB locations of off-highway vehicle use—an activity directly related to the \"access controls\" abiotic alteration in Weltz and others (2014) (table 5; fig. 7). The 2010 roads layer covers the entire UCRB."},{"id":297665,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1007/downloads/datasets/2010_UCRB_BLM_Grazing_projected.zip","text":"Bureau of Land Management Grazing","size":"12.9 MB","description":"Geospatial dataset","linkHelpText":"The shapefile contains 2,367 polygons of BLM grazing allotments within or bordering the UCRB (fig. 4). Attributes for the allotment polygons include the allotment name (ALLOT_NAME) and number (ST_ALLOT), the authorized number of \"animal unit months\" for the allotment (AUTH_AUMS), and the area of the allotment in both acres (AREA_acres) and square kilometers (AREA_km2)."},{"id":297667,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1007/downloads/datasets/1999-2010_UCRB_LandDisturbance.zip","text":"Land Disturbance","size":"26 MB","description":"Geospatial dataset","linkHelpText":"These layers include temporal and spatial information on disturbances to the landscape as a result of management activities or natural events. Two types of grids are presented: yearly disturbance grids for 1999–2010 and a composite grid of the yearly disturbance grids that summarizes vegetation disturbance for 1999–2010. Spatially, all grids cover the entire UCRB and have a 30-meter pixel resolution."}],"datum":"North American Datum of 1983","country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.69937133789062,\n              36.730079507078415\n            ],\n            [\n              -111.68083190917969,\n              36.730079507078415\n            ],\n            [\n              -111.64581298828125,\n              36.72677751526221\n            ],\n            [\n              -111.4068603515625,\n              36.67723060234619\n            ],\n            [\n              -111.181640625,\n              36.54936246839778\n            ],\n            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dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539658,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70138255,"text":"ofr20141260 - 2015 - California State Waters Map Series — Offshore of Pacifica, California","interactions":[],"lastModifiedDate":"2022-04-18T19:57:57.322391","indexId":"ofr20141260","displayToPublicDate":"2015-01-29T16:30:00","publicationYear":"2015","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":"2014-1260","title":"California State Waters Map Series — Offshore of Pacifica, California","docAbstract":"<p>In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California&rsquo;s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.&nbsp;</p>\n<p>The Offshore of Pacifica map area is located in northern California, on the Pacific coast of the San Francisco Peninsula about 10 kilometers south of the Golden Gate. The map area extends from Daly City, through Pacifica, to the small coastal community of Montara. Much of the coastal zone is managed by either the State of California or local governments, including Thornton Beach State Park, Mussel Rock Park, Pacifica State Beach, Gray Whale Cove State Beach, and Montara State Beach.</p>\n<p>The major structure in the transform boundary between the Pacific and North American tectonic plates, the northwest-striking San Andreas Fault, cuts through the map area, crossing the shoreline near Mussel Rock before continuing offshore. The epicenter of the great 1906 California earthquake is located on the offshore part of the San Andreas Fault Zone a few kilometers north of the map area.&nbsp;</p>\n<p>The map area is located at the northwest end of the Santa Cruz Mountains, much of which has been uplifted in the last 400,000 years. Southwest of the San Andreas Fault Zone, this uplift has resulted in a highly variable coastal morphology characterized by long, narrow beaches bounded by steep cliffs or marine terraces, small pocket beaches surrounded by rocky promontories, and steep, narrow coastal watersheds. Geologic units mapped along the coast include sedimentary, volcanic, and metamorphic rocks of the Franciscan Complex; Cretaceous granitic rocks; Tertiary sedimentary rocks; and Quaternary coastal marine terraces, deep-seated and shallow landslides, and beach and sand dune deposits, all of which contribute sediment to the coastal zone.</p>\n<p>In contrast to the more rural coastal zone to the south, the highly urbanized coastal zone north of Mussel Rock and the San Andreas Fault Zone is characterized by a narrow beach bounded by steep, 50- to 120-m-high cliffs made up of sand, silt, and clay of the Pliocene and Pleistocene Merced Formation, the source of numerous landslides. Two large landslides along &ldquo;Northridge bluff&rdquo; in 2003 and 2007 had estimated volumes of 305,800 to 382,300 m<sup>3</sup>&nbsp;and 120,800 m<sup>3</sup>, respectively. Coastal landslides also are an issue to the south between Mussel Rock and Mori Point, even as bluffs diminish in height and pocket beaches transition to a more continuous strand bounded by Quaternary-age dunes and low-lying marine terraces. Mori Point, a coastal promontory in Pacifica underlain by rocks of the Franciscan Complex, rises abruptly to a height of 90 m from the shoreline. Pocket beaches characterize the shoreline from Mori Point south to Shelter Cove, the largest of which, Pacifica State Beach, is at the mouth of San Pedro Creek.&nbsp;</p>\n<p>The coastal zone south of Pacifica, which stretches from Shelter Cove to Montara and includes Point San Pedro and Devils Slide, lies at the northwest end of San Pedro Mountain (underlain largely by early Tertiary sedimentary rocks) and Montara Mountain (underlain by Cretaceous granitic rocks). Elevations at Montara Mountain exceed 500 m just 4 km from the shoreline, and steep cliffs along the coast are as high as 275 m. This rugged terrain results in numerous rocky promontories, small pocket beaches, and large coastal landslides. Slope failures along Devils Slide are notorious for closing California Highway 1, creating such a large and persistent problem that the California Department of Transportation has bypassed this coastal section by tunneling through San Pedro Mountain; the tunnel was completed and the new section of highway opened in 2013. Coastal relief diminishes at Montara in the southernmost part of the map area, where the shoreline is bounded by 10- to 20-m-high marine terraces.</p>\n<p>Throughout the year, this part of the coast is exposed to the north Pacific swell, the southern swell, northwest wind waves, and local wind waves. The north Pacific swell dominates in winter months, having wave heights that range from 2 to 10 m at offshore buoys and wave periods that range from 10 to 25 s. During summer months, the largest waves come from the southern swell, generated by storms in the south Pacific and offshore of Central America. Characteristically, these swells have smaller wave heights (0.3&ndash;3 m) but similarly long wave periods (10&ndash;25 s). Local wind waves are most common from October to April, whereas northwest wind waves affect the coast throughout the year. These two wind-wave regimes typically have wave heights of 1 to 4 m and short wave periods (3&ndash;10 s).&nbsp;</p>\n<p>Unlike many other parts of the California coast where sediment is supplied primarily from river and (or) stream runoff, sediment supply to the offshore along this part of northern California is a complex mixture of (1) sand transported from the coast north of the Golden Gate, (2) sediment transported to the coast through the San Francisco Bay via the Golden Gate and then dispersed over the adjacent ebb-tide delta, and (3) varying volumes of sediment eroded from adjacent steep coastal bluffs caused by wave-induced landslides and other erosional events. Additionally, since the 1980s, coastal erosion south of the Golden Gate has increased substantially between Ocean Beach (on the west coast of San Francisco, about 5 km north of the map area) and Point San Pedro. The combined sediment load is transported southward along the coast by the generally north-to-south alongshore current, which develops in response to the energetic winter-wave climate associated with the north Pacific swell. Overall, beaches in the map area have a long-term erosional trend, except near Mussel Rock where a long-term accretionary trend may reflect increased sediment supply from landslides. Beach-front riprap armoring and retaining walls are used locally to protect the shoreline from seasonal storm waves, most notably between Mussel Rock and Mori Point.</p>\n<p>The continental shelf in the map area is about 40 km wide, with water depths at the shelf break that range from about 80 to 120 m. Within California&rsquo;s State Waters, the midshelf to inner shelf areas are characterized by a relatively flat, shallow (water depths of as much as 44 m) seafloor that dips gently (about 0.2&deg; to 0.3&deg;) westward. The seafloor is composed primarily of unconsolidated Holocene sediment (marine deposits), as well as some nearshore bedrock outcrops that consist primarily of rocks of the Tertiary Purisima Formation and also Cretaceous plutonic rocks (granite or granodiorite).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141260","usgsCitation":"Edwards, B.D., Phillips, E.L., Dartnell, P., Greene, H., Bretz, C., Kvitek, R.G., Hartwell, S.R., Johnson, S.Y., Cochrane, G.R., Dieter, B., Sliter, R.W., Ross, S.L., Golden, N., Watt, J.T., Chinn, J.L., Erdey, M.D., Krigsman, L., Manson, M., and Endris, C.A., 2015, California State Waters Map Series — Offshore of Pacifica, California: U.S. Geological Survey Open-File Report 2014-1260, Report: iv, 38 p.; 10 Sheets: 48.00 × 36.00 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/ofr20141260.","productDescription":"Report: iv, 38 p.; 10 Sheets: 48.00 × 36.00 inches or smaller; Metadata; Data Catalog","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052391","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141260.gif"},{"id":297624,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet8.pdf","text":"Sheet 8","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 8","linkHelpText":"Seismic-Reflection Profiles, Offshore of Pacifica Map Area, California By Ray W. Sliter, Samuel Y. Johnson, Stephanie L. Ross, and John L. Chin (48\" x 36\", 18.7 MB)"},{"id":297616,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":297615,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1260/"},{"id":297620,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet4.pdf","text":"Sheet 4","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 4","linkHelpText":"Data Integration and Visualization, Offshore of Pacifica Map Area, California By Peter Dartnell (46\" x 36\", 17 MB)"},{"id":297621,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet5.pdf","text":"Sheet 5","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 5","linkHelpText":"Seafloor Character, Offshore of Pacifica Map Area, California By Eleyne L. Phillips and Guy R. Cochrane (46\" x 36\", 26.5 MB)"},{"id":297617,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 1","linkHelpText":"Colored Shaded-Relief Bathymetry, Offshore of Pacifica Map Area, California By Carrie K. Bretz, Rikk G. Kvitek, Peter Dartnell, and Eleyne L. Phillips (39\" x 36\", 20 MB)"},{"id":297618,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 2","linkHelpText":"Shaded-Relief Bathymetry, Offshore of Pacifica Map Area, California By Carrie K. Bretz, Rikk G. Kvitek, Peter Dartnell, and Eleyne L. Phillips (39\" x 36\", 23.5 MB)"},{"id":297619,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet3.pdf","text":"Sheet 3","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 3","linkHelpText":"Acoustic Backscatter, Offshore of Pacifica Map Area, California By Carrie K. Bretz, Rikk G. Kvitek, Peter Dartnell, Mercedes D. Erdey, and Eleyne L. Phillips (39\" x 36\", 25.7 MB)"},{"id":297622,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet6.pdf","text":"Sheet 6","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 6","linkHelpText":"Ground-Truth Studies, Offshore of Pacifica Map Area, California By Nadine E. Golden, Brian D. Edwards, Guy R. Cochrane, Eleyne L. Phillips, Mercedes D. Erdey, and Lisa M. Krigsman (46\" x 36\", 19.6 MB)"},{"id":297623,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet7.pdf","text":"Sheet 7","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 7","linkHelpText":"Potential Marine Benthic Habitats, Offshore of Pacifica Map Area, California By Charles A. Endris, H. Gary Greene, Bryan E. Dieter, Mercedes D. Erdey, Nadine E. Golden, and Brian D. Edwards (46\" x 36\", 17.4 MB)"},{"id":297625,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1260/downloads/ofr2014-1260_sheet9.pdf","text":"Sheet 9","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 9","linkHelpText":"Local (Offshore of Pacifica Map Area) and Regional (Offshore from Bolinas to Pescadero) Shallow-Subsurface Geology and Structure, California By Samuel Y. Johnson, Stephen R. Hartwell, Ray W. Sliter, Janet T. Watt, Eleyne L. Phillips, Stephanie L. Ross, and John L. 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,{"id":70139241,"text":"ofr20141219 - 2015 - USGS compilation of geographic information system (GIS) data representing coal mines and coal-bearing areas in China","interactions":[],"lastModifiedDate":"2015-01-26T15:00:21","indexId":"ofr20141219","displayToPublicDate":"2015-01-26T14:45:00","publicationYear":"2015","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":"2014-1219","title":"USGS compilation of geographic information system (GIS) data representing coal mines and coal-bearing areas in China","docAbstract":"<p><span>Geographic information system (GIS) information may facilitate energy studies, which in turn provide input for energy policy decisions. The U.S. Geological Survey (USGS) has compiled geographic information system (GIS) data representing the known coal mine locations and coal-mining areas of China as of 2001. These data are now available for download, and may be used in a GIS for a variety of energy resource and environmental studies of China. Province-scale maps were also created to display the point locations of coal mines and the coal-mining areas. In addition, coal-field outlines from a previously published map by Dai and others (2012) were also digitized and are available for download as a separate GIS data file, and shown in a nation-scale map of China. Chemical data for 332 coal samples from a previous USGS study of China and Taiwan (Tewalt and others, 2010) are included in a downloadable GIS point shapefile, and shown on a nation-scale map of China. A brief report summarizes the methodology used for creation of the shapefiles and the chemical analyses run on the samples.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141219","usgsCitation":"Trippi, M.H., Belkin, H.E., Dai, S., Tewalt, S.J., and Chou, C., 2015, USGS compilation of geographic information system (GIS) data representing coal mines and coal-bearing areas in China: U.S. Geological Survey Open-File Report 2014-1219, Report: iv, 135 p.; Downloads Directory, https://doi.org/10.3133/ofr20141219.","productDescription":"Report: iv, 135 p.; Downloads Directory","numberOfPages":"140","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051519","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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,{"id":70137299,"text":"ofr20151001 - 2015 - Future wave and wind projections for United States and United-States-affiliated Pacific Islands","interactions":[],"lastModifiedDate":"2019-12-27T10:41:57","indexId":"ofr20151001","displayToPublicDate":"2015-01-26T12:45:00","publicationYear":"2015","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":"2015-1001","title":"Future wave and wind projections for United States and United-States-affiliated Pacific Islands","docAbstract":"<p><span>Changes in future wave climates in the tropical Pacific Ocean from global climate change are not well understood. Spatially and temporally varying waves dominate coastal morphology and ecosystem structure of the islands throughout the tropical Pacific. Waves also impact coastal infrastructure, natural and cultural resources, and coastal-related economic activities of the islands. Wave heights, periods, and directions were forecast through the year 2100 using wind parameter outputs from four atmosphere-ocean global climate models from the Coupled Model Inter-Comparison Project, Phase 5, for Representative Concentration Pathways (RCP) scenarios 4.5 and 8.5 that correspond to moderately mitigated and unmitigated greenhouse gas emissions, respectively. Wind fields from the global climate models were used to drive a global WAVEWATCH-III wave model and generate hourly time-series of bulk wave parameters for 25 islands in the mid to western tropical Pacific for the years 1976&ndash;2005 (historical), 2026&ndash;2045 (mid-century projection), and 2085&ndash;2100 (end-of-century projection). Although the results show some spatial heterogeneity, overall the December-February extreme significant wave heights, defined as the mean of the top 5 percent of significant wave height time-series data modeled within a specific period, increase from present to mid-century and then decrease toward the end of the century; June-August extreme wave heights increase throughout the century within the Central region of the study area; and September-November wave heights decrease strongly throughout the 21st century, displaying the largest and most widespread decreases of any season. Peak wave periods increase east of the International Date Line during the December-February and June-August seasons under RCP4.5. Under the RCP8.5 scenario, wave periods decrease west of the International Date Line during December-February but increase in the eastern half of the study area. Otherwise, wave periods decrease throughout the study area during other seasons. Extreme wave directions in equatorial Micronesia during June-August undergo an approximate 30&deg; clockwise rotation from primarily west to northwest. September-November RCP4.5 extreme mean wave directions rotate counterclockwise by approximately 30 to 45&deg; in equatorial Micronesia; September-November RCP8.5 extreme mean wave directions within equatorial Micronesia rotate clockwise by approximately 20 to 30&deg;. Extreme wind speeds decreased within both scenarios, with the largest decreases occurring in the September-November season. Extreme wind directions under RCP4.5 rotated clockwise by more than 60&deg; in equatorial Micronesia during the September-November season and by approximately 30&deg; during June-August. RCP8.5 extreme wind directions rotated counterclockwise during September-November within the same region by 30 to 50&deg; and clockwise by 30 to 40&deg; at one island. The spatial patterns and trends are similar between the two different greenhouse gas emission scenarios, with the magnitude and extent of the trends generally greater for the higher (RCP8.5) scenario.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151001","usgsCitation":"Storlazzi, C., Shope, J.B., Erikson, L., Hegermiller, C.A., and Barnard, P.L., 2015, Future wave and wind projections for United States and United-States-affiliated Pacific Islands: U.S. Geological Survey Open-File Report 2015-1001, xxvii, 426 p., https://doi.org/10.3133/ofr20151001.","productDescription":"xxvii, 426 p.","numberOfPages":"455","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059375","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151001.gif"},{"id":297524,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1001/downloads/ofr2015-1001_report.pdf","text":"Report","size":"32.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","otherGeospatial":"Micronesia, Pacific Ocean","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a7ae4b08de9379b3095","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":539241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shope, James B.","contributorId":135949,"corporation":false,"usgs":false,"family":"Shope","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":539242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":539243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hegermiller, Christine A.","contributorId":135950,"corporation":false,"usgs":false,"family":"Hegermiller","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":539244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":2880,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":539245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70135976,"text":"ofr20141255 - 2015 - Depth-dependent groundwater quality sampling at City of Tallahassee test well 32, Leon County, Florida, 2013","interactions":[],"lastModifiedDate":"2015-01-26T10:10:09","indexId":"ofr20141255","displayToPublicDate":"2015-01-26T11:15:00","publicationYear":"2015","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":"2014-1255","title":"Depth-dependent groundwater quality sampling at City of Tallahassee test well 32, Leon County, Florida, 2013","docAbstract":"<p>Public-supply wells sometimes produce water of less than desirable quality because contaminants can migrate to the open interval of wells through preferential pathways. If these pathways can be identified, zones that produce poor quality water can be excluded during the well-construction process. The U.S. Geological Survey has developed geophysical testing methods that can be used to delineate zones of high permeability in test wells. Once the highly permeable zones are identified, water-quality data can be collected from each zone to identify whether any of the zones produce water of poor quality. The zones producing poor quality water can then be cased off in the final well design so that they do not contribute flow to the production well, reducing subsequent water-treatment costs.</p>\n<p>A test well was drilled by the City of Tallahassee to assess the suitability of the site for the installation of a new well for public water supply. The test well is in Leon County in north-central Florida. The U.S. Geological Survey delineated high-permeability zones in the Upper Floridan aquifer, using borehole-geophysical data collected from the open interval of the test well. A composite water sample was collected from the open interval during high-flow conditions, and three discrete water samples were collected from specified depth intervals within the test well during low-flow conditions. Water-quality, source tracer, and age-dating results indicate that the open interval of the test well produces water of consistently high quality throughout its length. The cavernous nature of the open interval makes it likely that the highly permeable zones are interconnected in the aquifer by secondary porosity features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141255","collaboration":"City of Tallahassee","usgsCitation":"McBride, W.S., and Wacker, M.A., 2015, Depth-dependent groundwater quality sampling at City of Tallahassee test well 32, Leon County, Florida, 2013: U.S. Geological Survey Open-File Report 2014-1255, Report: vi, 13 p.; 2 Appendices, https://doi.org/10.3133/ofr20141255.","productDescription":"Report: vi, 13 p.; 2 Appendices","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059712","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":297511,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1255/"},{"id":297512,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1255/pdf/ofr2014-1255.pdf"},{"id":297516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141255.jpg"},{"id":297514,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1255/appendix/ofr2014-1255_appendix02.pdf","text":"Appendix 2","size":"16.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2014-1255 Appendix 2","linkHelpText":"Comparison of borehole image, geophysical, water quality, flowmeter, and sonic logs showing evidence of three productive intervals in the City of Tallahassee test well 32 at Leon County, Florida, December 2013. The full geophysical log is displayed at 1 to 12 scale."},{"id":297513,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1255/appendix/ofr2014-1255_appendix01.pdf","text":"Appendix 1","size":"3.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2014-1255 Appendix 1","linkHelpText":"Comparison of borehole image, geophysical, water quality, flowmeter, and sonic logs showing evidence of three productive intervals in the City of Tallahassee test well 32 at Leon County, Florida, December 2013. Only the data collected in the open interval of the test well are displayed at 1 to 96 scale."}],"country":"United States","state":"Florida","county":"Leon County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.825439453125,\n              30.130875412002318\n            ],\n            [\n              -84.825439453125,\n              30.770159115784214\n            ],\n            [\n              -83.85314941406249,\n              30.770159115784214\n            ],\n            [\n              -83.85314941406249,\n              30.130875412002318\n            ],\n            [\n              -84.825439453125,\n              30.130875412002318\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a65e4b08de9379b3037","contributors":{"authors":[{"text":"McBride, W. Scott wmcbride@usgs.gov","contributorId":1096,"corporation":false,"usgs":true,"family":"McBride","given":"W.","email":"wmcbride@usgs.gov","middleInitial":"Scott","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":537009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wacker, Michael A. mwacker@usgs.gov","contributorId":2162,"corporation":false,"usgs":true,"family":"Wacker","given":"Michael","email":"mwacker@usgs.gov","middleInitial":"A.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":537010,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137884,"text":"ofr20141264 - 2015 - Shear-wave velocity and site-amplification factors for 50 Australian sites determined by the spectral analysis of surface waves method","interactions":[],"lastModifiedDate":"2015-01-23T08:52:00","indexId":"ofr20141264","displayToPublicDate":"2015-01-23T09:45:00","publicationYear":"2015","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":"2014-1264","title":"Shear-wave velocity and site-amplification factors for 50 Australian sites determined by the spectral analysis of surface waves method","docAbstract":"<p><span>One-dimensional shear-wave velocity (</span><i>V<sub>S</sub></i><span>&nbsp;) profiles are presented at 50 strong motion sites in New South Wales and Victoria, Australia. The&nbsp;</span><i>V<sub>S</sub></i><span>&nbsp;profiles are estimated with the spectral analysis of surface waves (SASW) method. The SASW method is a noninvasive method that indirectly estimates the&nbsp;</span><i>V<sub>S</sub></i><span>&nbsp;at depth from variations in the Rayleigh wave phase velocity at the surface.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141264","collaboration":"Prepared in cooperation with Geosciences Australia","usgsCitation":"Kayen, R., Carkin, B.A., Allen, T., Collins, C., McPherson, A., and Minasian, D.L., 2015, Shear-wave velocity and site-amplification factors for 50 Australian sites determined by the spectral analysis of surface waves method: U.S. Geological Survey Open-File Report 2014-1264, iv, 118 p., https://doi.org/10.3133/ofr20141264.","productDescription":"iv, 118 p.","numberOfPages":"126","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045201","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141264.jpg"},{"id":297474,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1264/pdf/ofr2014-1264.pdf","size":"27.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297473,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1264/"}],"country":"Australia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              114.2578125,\n              -33.06392419812064\n            ],\n            [\n              114.2578125,\n              -29.152161283318915\n            ],\n            [\n              118.125,\n              -29.152161283318915\n            ],\n            [\n              118.125,\n              -33.06392419812064\n            ],\n            [\n              114.2578125,\n              -33.06392419812064\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              135.087890625,\n              -36.66841891894784\n            ],\n            [\n              135.087890625,\n              -31.12819929911197\n            ],\n            [\n              139.5703125,\n              -31.12819929911197\n            ],\n            [\n              139.5703125,\n              -36.66841891894784\n            ],\n            [\n              135.087890625,\n              -36.66841891894784\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              143.173828125,\n              -38.61687046392973\n            ],\n            [\n              143.173828125,\n              -32.249974455863295\n            ],\n            [\n              153.017578125,\n              -32.249974455863295\n            ],\n            [\n              153.017578125,\n              -38.61687046392973\n            ],\n            [\n              143.173828125,\n              -38.61687046392973\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab2e4b08de9379b3188","contributors":{"authors":[{"text":"Kayen, Robert E. rkayen@usgs.gov","contributorId":2787,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","email":"rkayen@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":538953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carkin, Bradley A. bcarkin@usgs.gov","contributorId":3971,"corporation":false,"usgs":true,"family":"Carkin","given":"Bradley","email":"bcarkin@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":538951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Trevor I.","contributorId":138667,"corporation":false,"usgs":false,"family":"Allen","given":"Trevor","middleInitial":"I.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Clive","contributorId":138666,"corporation":false,"usgs":false,"family":"Collins","given":"Clive","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPherson, Andrew","contributorId":138665,"corporation":false,"usgs":false,"family":"McPherson","given":"Andrew","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. 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,{"id":70138822,"text":"ofr20151011 - 2015 - Simulated runoff at many stream locations in the Methow River Basin, Washington","interactions":[],"lastModifiedDate":"2015-01-23T08:36:20","indexId":"ofr20151011","displayToPublicDate":"2015-01-23T09:30:00","publicationYear":"2015","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":"2015-1011","title":"Simulated runoff at many stream locations in the Methow River Basin, Washington","docAbstract":"<p>A collaborative Bureau of Reclamation-U.S. Geological Survey (USGS) team has been brought together to incorporate a conceptual geomorphic-habitat model with a process-based trophic model to understand the processes important to stream habitat for anadromous fish populations. The Methow River Basin was selected as a test basin for this hybrid geomorphic-habitat/trophic model, and one of the required model inputs is long-term daily runoff at reaches with potential habitat. Leveraging the existence of a watershed model that was constructed for the Methow River Basin by the USGS, the team approached the USGS at the Washington Water Science Center to resurrect the original model and to simulate runoff at many locations in the basin to test the trophic model. Thirteen new flow-routing sites were added to the model, creating a total of 61 sites in the basin where daily runoff was simulated and provided as output. The input file that contains observed meteorological data that drives the watershed model and observed runoff data for comparisons with simulated runoff was extended from water year 2001 to water year 2013 using data from 18 meteorological sites and 12 observed runoff sites. The watershed model included simulation of 16 irrigation diversions that simulated 50-percent water loss through canal seepage. Irrigation was simulated as a constant application of 0.2 inches per day to during the irrigation season, May 1&ndash;October 7.</p>\n<p>Comparisons of the simulated runoff with observed runoff at six selected long-term streamflow-gaging stations showed that the simulated annual runoff was within +15.4 to -9.6 percent of the annual observed runoff. The simulated runoff generally matched the seasonal flow patterns, with bias at some stations indicated by over-simulation of the October&ndash;November late autumn season and under-simulation of the snowmelt runoff months of May and June. Sixty-one time series of daily runoff for a 26-year period representative of the long-term runoff pattern, water years 1988&ndash;2013, were simulated and provided to the trophic modeling team.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151011","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Mastin, M.C., 2015, Simulated runoff at many stream locations in the Methow River Basin, Washington: U.S. Geological Survey Open-File Report 2015-1011, iv, 22 p., https://doi.org/10.3133/ofr20151011.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061500","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":297472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151011.JPG"},{"id":297470,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1011/"},{"id":297471,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1011/pdf/ofr2015-1011.pdf","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Washington","otherGeospatial":"Methow River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.41015624999999,\n              47.67278567576541\n            ],\n            [\n              -120.41015624999999,\n              49.001843917978526\n            ],\n            [\n              -119.14672851562499,\n              49.001843917978526\n            ],\n            [\n              -119.14672851562499,\n              47.67278567576541\n            ],\n            [\n              -120.41015624999999,\n              47.67278567576541\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab3e4b08de9379b3190","contributors":{"authors":[{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539014,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70137896,"text":"ofr20151006 - 2015 - Development of a HEC-RAS temperature model for the North Santiam River, northwestern Oregon","interactions":[],"lastModifiedDate":"2015-01-16T16:13:41","indexId":"ofr20151006","displayToPublicDate":"2015-01-16T17:00:00","publicationYear":"2015","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":"2015-1006","title":"Development of a HEC-RAS temperature model for the North Santiam River, northwestern Oregon","docAbstract":"<p>A one-dimensional, unsteady streamflow and temperature model (HEC-RAS) of the North Santiam and Santiam Rivers was developed by the U.S. Geological Survey to be used in conjunction with previously developed two-dimensional hydrodynamic water-quality models (CE-QUAL-W2) of Detroit and Big Cliff Lakes upstream of the study area. In conjunction with the output from the previously developed models, the HEC-RAS model can simulate streamflows and temperatures within acceptable limits (mean error [bias] near zero; typical streamflow errors less than 5 percent; typical water temperature errors less than 1.0 &deg;C) for the length of the North Santiam River downstream of Big Cliff Dam under a series of potential future conditions in which dam structures and/or dam operations are modified to improve temperature conditions for threatened and endangered fish. Although a two-dimensional (longitudinal, vertical) CE-QUAL-W2 model for the North Santiam and Santiam Rivers downstream of Big Cliff Dam exists, that model proved unstable under highly variable flow conditions. The one-dimensional HEC-RAS model documented in this report can better simulate cross-sectional-averaged stream temperatures under a wide range of flow conditions.</p>\n<p>The model was calibrated using 2011 streamflow and temperature data. Measured data were used as boundary conditions when possible, although several lateral inflows and their associated water temperatures, including the South Santiam River, were estimated using statistical models. Streamflow results showed high accuracy during low-flow periods, but predictions were biased low during large storm events when unmodeled ephemeral tributaries contributed to the actual streamflow. Temperature results showed low annual bias against measured data at two locations on the North Santiam River and one location on the Santiam River. Mean absolute errors using 2011 hourly data ranged from 0.4 to 0.7 &deg;C. Model results were checked against 2012 data and showed a positive bias at the Santiam River station (+0.6 ˚C). Annual mean absolute errors using 2012 hourly data ranged from 0.4 to 0.8 &deg;C.</p>\n<p>Much of the error in temperature predictions resulted from the model&rsquo;s inability to accurately simulate the full range of diurnal fluctuations during the warmest months. Future iterations of the model could be improved by the collection and inclusion of additional streamflow and temperature data, especially near the mouth of the South Santiam River. Presently, the model is able to predict hourly and daily water temperatures under a wide variety of conditions with a typical error of 0.8 and 0.7 &deg;C, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151006","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Stonewall, A., and Buccola, N., 2015, Development of a HEC-RAS temperature model for the North Santiam River, northwestern Oregon: U.S. Geological Survey Open-File Report 2015-1006, v, 26 p., https://doi.org/10.3133/ofr20151006.","productDescription":"v, 26 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059231","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":297360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151006.JPG"},{"id":297359,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1006/pdf/ofr2015-1006.pdf","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297358,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1006/"}],"projection":"Oregon State Lambert","datum":"North American Datum of 1983","country":"United States","state":"Oregon","otherGeospatial":"Santiam River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.31054687499999,\n              43.88205730390537\n            ],\n            [\n              -123.31054687499999,\n              45.48324350868221\n            ],\n            [\n              -119.9871826171875,\n              45.48324350868221\n            ],\n            [\n              -119.9871826171875,\n              43.88205730390537\n            ],\n            [\n              -123.31054687499999,\n              43.88205730390537\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a68e4b08de9379b3041","contributors":{"authors":[{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":2699,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam J.","email":"stonewal@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":538285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":4295,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman L.","email":"nbuccola@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":538782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70135682,"text":"ofr20141253 - 2015 - An analysis of three new infrasound arrays around Kīlauea Volcano","interactions":[],"lastModifiedDate":"2015-01-15T09:35:24","indexId":"ofr20141253","displayToPublicDate":"2015-01-15T09:30:00","publicationYear":"2015","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":"2014-1253","title":"An analysis of three new infrasound arrays around Kīlauea Volcano","docAbstract":"<p><span>A network of three new infrasound station arrays was installed around Kīlauea Volcano between July 2012 and September 2012, and a preliminary analysis of open-vent monitoring has been completed by Hawaiian Volcano Observatory (HVO). Infrasound is an emerging monitoring method in volcanology that detects perturbations in atmospheric pressure at frequencies below 20 Hz, which can result from volcanic events that are not always observed optically or thermally. Each array has the capability to detect various infrasound events as small as 0.05 Pa as measured at the array site. The infrasound monitoring network capabilities are demonstrated through case studies of rockfalls, pit collapses, and rise-fall cycles at Halema'uma'u Crater and Pu'u 'Ōʻō.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141253","usgsCitation":"Thelen, W.A., and Cooper, J., 2015, An analysis of three new infrasound arrays around Kīlauea Volcano: U.S. Geological Survey Open-File Report 2014-1253, v, 29 p., https://doi.org/10.3133/ofr20141253.","productDescription":"v, 29 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059495","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":297270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141253.gif"},{"id":297269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1253/downloads/OFR2014-1253.pdf","text":"Report","size":"10.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297268,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1253/"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.643310546875,\n              18.894593271963213\n            ],\n            [\n              -155.643310546875,\n              19.45234893685903\n            ],\n            [\n              -155.0555419921875,\n              19.45234893685903\n            ],\n            [\n              -155.0555419921875,\n              18.894593271963213\n            ],\n            [\n              -155.643310546875,\n              18.894593271963213\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a52e4b08de9379b2fe0","contributors":{"authors":[{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":538529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Jennifer","contributorId":130985,"corporation":false,"usgs":false,"family":"Cooper","given":"Jennifer","email":"","affiliations":[{"id":7197,"text":"Unaffiliated","active":true,"usgs":false}],"preferred":false,"id":538530,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70135748,"text":"ofr20141254 - 2015 - Evaluating and ranking threats to the long-term persistence of polar bears","interactions":[],"lastModifiedDate":"2018-05-06T10:58:16","indexId":"ofr20141254","displayToPublicDate":"2015-01-12T08:15:00","publicationYear":"2015","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":"2014-1254","title":"Evaluating and ranking threats to the long-term persistence of polar bears","docAbstract":"<p><span>The polar bear (</span><i>Ursus maritimus</i><span>) was listed as a globally threatened species under the U.S. Endangered Species Act (ESA) in 2008, mostly due to the significant threat to their future population viability from rapidly declining Arctic sea ice. A core mandate of the ESA is the development of a recovery plan that identifies steps to maintain viable populations of a listed species. A substantive evaluation of the relative influence of putative threats to population persistence is helpful to recovery planning. Because management actions must often be taken in the face of substantial information gaps, a formalized evaluation hypothesizing potential stressors and their relationships with population persistence can improve identification of relevant conservation actions. To this end, we updated a Bayesian network model previously used to forecast the future status of polar bears worldwide. We used new information on actual and predicted sea ice loss and polar bear responses to evaluate the relative influence of plausible threats and their mitigation through management actions on the persistence of polar bears in four ecoregions. We found that polar bear outcomes worsened over time through the end of the century under both stabilized and unabated greenhouse gas (GHG) emission pathways. Under the unabated pathway (i.e., RCP 8.5), the time it took for polar bear populations in two of four ecoregions to reach a dominant probability of greatly decreased was hastened by about 25 years. Under the stabilized GHG emission pathway (i.e., RCP 4.5), where GHG emissions peak around the year 2040, the polar bear population in the Archipelago Ecoregion of High Arctic Canada never reached a dominant probability of greatly decreased, reinforcing earlier suggestions of this ecoregion&rsquo;s potential to serve as a long-term refugium. The most influential drivers of adverse polar bear outcomes were declines to overall sea ice conditions and to the marine prey base. Improved sea ice conditions substantively lowered the probability of a decreased or greatly decreased outcome, while an elevated marine prey base was slightly less influential in lowering the probability of a decreased or greatly decreased outcome. Stressors associated with in situ human activities exerted considerably less influence on population outcomes. Reduced mortality from hunting and defense of life and property interactions resulted inmodest declines in the probability of a decreased or greatly decreased population outcome. Minimizing other stressors such as trans-Arctic shipping, oil and gas exploration, and point-source pollution had negligible effects on polar bear outcomes, but that could be attributed to uncertainties in the ecological relevance of those specific stressors. Our findings suggest adverse consequences of loss of sea ice habitat become more pronounced as the summer ice-free period lengthens beyond 4 months, which could occur in portions of the Arctic by the middle of this century under the unabated pathway. The long-term persistence of polar bears may be achieved through ameliorating the loss of sea ice habitat, which will likely require stabilizing CO</span><sub>2</sub><span>emissions at or below the ceiling represented by RCP 4.5. Management of other stressors may serve to slow the transition of polar bear populations to progressively worsened outcomes, and improve the prospects of persistence, pending GHG mitigation.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141254","usgsCitation":"Atwood, T.C., Marcot, B., Douglas, D., Amstrup, S.C., Rode, K.D., Durner, G.M., and Bromaghin, J.F., 2015, Evaluating and ranking threats to the long-term persistence of polar bears: U.S. Geological Survey Open-File Report 2014-1254, vi, 114 p., https://doi.org/10.3133/ofr20141254.","productDescription":"vi, 114 p.","numberOfPages":"124","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059609","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":297120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141254.jpg"},{"id":297118,"type":{"id":15,"text":"Index 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ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":538009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":538012,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70137564,"text":"ofr20141159 - 2015 - Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","interactions":[],"lastModifiedDate":"2015-01-09T12:34:30","indexId":"ofr20141159","displayToPublicDate":"2015-01-09T13:30:00","publicationYear":"2015","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":"2014-1159","title":"Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","docAbstract":"<p><span>An oceanographic field study during January through April 2012 investigated processes that control the sediment-transport dynamics near Fire Island, New York. This report describes the project background, field program, instrumentation configuration, and locations of the sensors deploymed. The data collected and supporting meteorological observations are presented as time series plots for data visualization. Additionally, individual, links to the database containing digital data files are available as part of this report.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141159","collaboration":"Prepared in cooperation with the University of South Carolina","usgsCitation":"Armstrong, B., Warner, J., List, J., Martini, M.A., Montgomery, E., Voulgaris, G., and Traykovski, P.A., 2015, Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012: U.S. Geological Survey Open-File Report 2014-1159, HTML Document, https://doi.org/10.3133/ofr20141159.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-04-30","ipdsId":"IP-056000","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141159.JPG"},{"id":297095,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1159/"},{"id":297096,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1159/ofr2014-1159-title_page.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.4051513671875,\n              40.59935608796518\n            ],\n            [\n              -73.4051513671875,\n              40.76390128094589\n            ],\n            [\n              -72.78854370117188,\n              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jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":127596,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montgomery, Ellyn T. emontgomery@usgs.gov","contributorId":407,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":537961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Traykovski, Peter A. 0000-0002-8163-6857","orcid":"https://orcid.org/0000-0002-8163-6857","contributorId":69487,"corporation":false,"usgs":false,"family":"Traykovski","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":537962,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70134232,"text":"ofr20141231 - 2015 - Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013","interactions":[],"lastModifiedDate":"2015-01-26T13:07:58","indexId":"ofr20141231","displayToPublicDate":"2015-01-08T09:45:00","publicationYear":"2015","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":"2014-1231","title":"Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013","docAbstract":"<p><span>During May&ndash;June, 2013, the U.S. Geological Survey, in cooperation with Park County, Colorado, drilled and installed four groundwater monitoring wells in areas identified as needing new wells to provide adequate spatial coverage for monitoring water quality in the South Park basin. Lithologic logs and well-construction reports were prepared for each well, and wells were developed after drilling to remove mud and foreign material to provide for good hydraulic connection between the well and aquifer. Slug tests were performed to estimate hydraulic-conductivity values for aquifer materials in the screened interval of each well, and groundwater samples were collected from each well for analysis of major inorganic constituents, trace metals, nutrients, dissolved organic carbon, volatile organic compounds, ethane, methane, and radon. Documentation of lithologic logs, well construction, well development, slug testing, and groundwater sampling are presented in this report.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141231","collaboration":"Prepared in cooperation with Park County, Colorado","usgsCitation":"Arnold, L.R., 2015, Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013: U.S. Geological Survey Open-File Report 2014-1231, Report: v, 32 p.; Appendixes 1-4, https://doi.org/10.3133/ofr20141231.","productDescription":"Report: v, 32 p.; Appendixes 1-4","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-05-01","temporalEnd":"2013-06-30","ipdsId":"IP-054626","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":297075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141231.jpg"},{"id":297068,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1231/"},{"id":297069,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1231/pdf/ofr2014-1231.pdf","text":"Report","size":"8.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297070,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix1_logs.pdf","text":"Appendix 1","size":"109 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1","linkHelpText":"Lithologic Logs"},{"id":297071,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix2_diagrams.pdf","text":"Appendix 2","size":"432 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"Well-Constructed Diagrams"},{"id":297072,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix3_development.pdf","text":"Appendix 3","size":"91 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3","linkHelpText":"Well-Developed Records"},{"id":297073,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix4_qc_data.xlsx","text":"Appendix 4","size":"33 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 4","linkHelpText":"Water-Quality Control Data"}],"datum":"North American Datum of 1983","country":"United States","state":"Colorado","county":"Park County","otherGeospatial":"South Park basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.10321044921875,\n              38.700515838688716\n            ],\n            [\n              -106.10321044921875,\n              39.42770738465604\n            ],\n            [\n              -105.45364379882812,\n              39.42770738465604\n            ],\n            [\n              -105.45364379882812,\n              38.700515838688716\n            ],\n            [\n              -106.10321044921875,\n              38.700515838688716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9ae4b08de9379b312e","contributors":{"authors":[{"text":"Arnold, L. R. 0000-0002-5110-9642 lrarnold@usgs.gov","orcid":"https://orcid.org/0000-0002-5110-9642","contributorId":1307,"corporation":false,"usgs":true,"family":"Arnold","given":"L.","email":"lrarnold@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525701,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70126408,"text":"ofr20141207 - 2015 - Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","interactions":[],"lastModifiedDate":"2015-01-26T13:05:44","indexId":"ofr20141207","displayToPublicDate":"2015-01-07T13:30:00","publicationYear":"2015","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":"2014-1207","title":"Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","docAbstract":"<p><span>The U.S. Geological Survey (USGS) has compiled a database consisting of three worksheets of central Appalachian basin natural gas analyses and isotopic compositions from published and unpublished sources of 1,282 gas samples from Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The database includes field and reservoir names, well and State identification number, selected geologic reservoir properties, and the composition of natural gases (methane; ethane; propane; butane,</span><i>&nbsp;iso</i><span>-butane [</span><i>i</i><span>-butane]; normal butane [</span><i>n</i><span>-butane];&nbsp;</span><i>iso</i><span>-pentane [</span><i>i</i><span>-pentane]; normal pentane [</span><i>n</i><span>-pentane]; cyclohexane, and hexanes). In the first worksheet, location and American Petroleum Institute (API) numbers from public or published sources are provided for 1,231 of the 1,282 gas samples. A second worksheet of 186 gas samples was compiled from published sources and augmented with public location information and contains carbon, hydrogen, and nitrogen isotopic measurements of natural gas. The third worksheet is a key for all abbreviations in the database. The database can be used to better constrain the stratigraphic distribution, composition, and origin of natural gas in the central Appalachian basin.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141207","usgsCitation":"Roman Colon, Y.A., and Ruppert, L.F., 2015, Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases: U.S. Geological Survey Open-File Report 2014-1207, Report: iv, 13 p.; Appendix, https://doi.org/10.3133/ofr20141207.","productDescription":"Report: iv, 13 p.; Appendix","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040818","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":297038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141207.jpg"},{"id":297035,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1207/"},{"id":297036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1207/pdf/ofr2014-1207.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297037,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1207/appendix/ofr2014-1207_appendix1.xlsx","text":"Appendix 1","size":"738 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1","linkHelpText":"This is an electronic copy of Appendix 1 that contains three worksheets of central Appalachian Basin Natural Gas Analyses and Isotopic Compositions."}],"country":"United States","state":"Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia","otherGeospatial":"Appalachian basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ce4b08de9379b300c","contributors":{"authors":[{"text":"Roman Colon, Yomayra A.","contributorId":120751,"corporation":false,"usgs":true,"family":"Roman Colon","given":"Yomayra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":519550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70134481,"text":"ofr20141221 - 2015 - Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:24:50","indexId":"ofr20141221","displayToPublicDate":"2015-01-07T10:15:00","publicationYear":"2015","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":"2014-1221","title":"Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts","docAbstract":"<p><span>Sea-floor sample collection is an important component of a statewide cooperative mapping effort between the U.S. Geological Survey (USGS) and the Massachusetts Office of Coastal Zone Management (CZM). Sediment grab samples, bottom photographs, and video transects were collected within Vineyard Sound and Buzzards Bay in 2010 aboard the research vessel</span><i>Connecticut</i><span>. This report contains sample data and related information, including analyses of surficial-sediment grab samples, locations and images of sea-floor photography, survey lines along which sea-floor video was collected, and a classification of benthic biota observed in sea-floor photographs and based on the Coastal and Marine Ecological Classification Standard (CMECS). These sample data and analyses information are used to verify interpretations of geophysical data and are an essential part of geologic maps of the sea floor. These data also provide a valuable inventory of benthic habitat and resources. Geographic information system (GIS) data, maps, and interpretations, produced through the USGS and CZM mapping cooperative, are intended to aid efforts to manage coastal and marine resources and to provide baseline information for research focused on coastal evolution and environmental change.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141221","collaboration":"Prepared in cooperation with the  Massachusetts Office of Coastal Zone Management.","usgsCitation":"Ackerman, S.D., Pappal, A.L., Huntley, E.C., Blackwood, D.S., and Schwab, W.C., 2015, Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts: U.S. Geological Survey Open-File Report 2014-1221, Report: vii, 30 p.; HTML Document, https://doi.org/10.3133/ofr20141221.","productDescription":"Report: vii, 30 p.; HTML Document","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051767","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297011,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141221.jpg"},{"id":297009,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1221/"},{"id":297010,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1221/pdf/ofr2014-1221_report_508.pdf","text":"Report","size":"6.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297527,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1221/ofr2014-1221-title_page.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Buzzards Bay, Vineyard Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.12686157226562,\n              41.49314949080981\n            ],\n            [\n              -70.84259033203125,\n              41.33763822308113\n            ],\n            [\n              -70.49240112304688,\n              41.55792157780418\n            ],\n            [\n              -70.62835693359375,\n              41.78257704086764\n            ],\n            [\n              -71.12686157226562,\n              41.49314949080981\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a82e4b08de9379b30b1","contributors":{"authors":[{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pappal, Adrienne L.","contributorId":127623,"corporation":false,"usgs":false,"family":"Pappal","given":"Adrienne","email":"","middleInitial":"L.","affiliations":[{"id":7088,"text":"Massachusetts Coastal Zone Management","active":true,"usgs":false}],"preferred":false,"id":526009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntley, Emily C.","contributorId":127624,"corporation":false,"usgs":false,"family":"Huntley","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":7088,"text":"Massachusetts Coastal Zone Management","active":true,"usgs":false}],"preferred":false,"id":526010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526012,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70134484,"text":"ofr20141220 - 2015 - Shallow geology, sea-floor texture, and physiographic zones of Buzzards Bay, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:29:23","indexId":"ofr20141220","displayToPublicDate":"2015-01-07T10:00:00","publicationYear":"2015","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":"2014-1220","title":"Shallow geology, sea-floor texture, and physiographic zones of Buzzards Bay, Massachusetts","docAbstract":"<p><span>Geologic, sediment texture, and physiographic zone maps characterize the sea floor of Buzzards Bay, Massachusetts. These maps were derived from interpretations of seismic-reflection profiles, high-resolution bathymetry, acoustic-backscatter intensity, bottom photographs, and surficial sediment samples. The interpretation of the seismic stratigraphy and mapping of glacial and Holocene marine units provided a foundation on which the surficial maps were created. This mapping is a result of a collaborative effort between the U.S. Geological Survey and the Massachusetts Office of Coastal Zone Management to characterize the surface and subsurface geologic framework offshore of Massachusetts.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141220","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management.","usgsCitation":"Foster, D.S., Baldwin, W.E., Barnhardt, W.A., Schwab, W.C., Ackerman, S.D., Andrews, B.D., Pendleton, E.A., 2016, Shallow geology, sea-floor texture, and physiographic zones of Buzzards Bay, Massachusetts (ver. 1.1, June 2016): U.S. Geological Survey Open-File Report 2014–1220, https://dx.doi.org/10.3133/ofr20141220.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056003","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297008,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141220.png","description":"OFR 2014-1220"},{"id":322124,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1220/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1220"},{"id":297006,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1220"},{"id":297007,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1220/ofr2014-1220-title_page.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2014-1220"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Buzzards Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.11038208007812,\n              41.529141988723104\n            ],\n            [\n              -70.70388793945312,\n              41.7856490686444\n            ],\n            [\n              -70.56381225585938,\n              41.72315557551985\n            ],\n            [\n              -70.65170288085938,\n              41.52502957323801\n            ],\n            [\n              -70.96343994140625,\n              41.395354710280166\n            ],\n            [\n              -71.11038208007812,\n              41.529141988723104\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted January 7, 2015; Version 1.1: June 21, 2016","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, Woods Hole Coastal and Marine Science Center<br /> U.S. Geological Survey<br /> 384 Woods Hole Road <br /> Quissett Campus<br /> Woods Hole, MA 02543<br /> <a href=\"http://woodshole.er.usgs.gov/\">http://woodshole.er.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1 – Geospatial Data</li></ul>","publishedDate":"2015-01-07","revisedDate":"2016-06-21","noUsgsAuthors":false,"publicationDate":"2015-01-07","publicationStatus":"PW","scienceBaseUri":"54dd2ab1e4b08de9379b3184","contributors":{"authors":[{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhardt, Walter A. wbarnhardt@usgs.gov","contributorId":2474,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","email":"wbarnhardt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":2132,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pendleton, Elizabeth A. ependleton@usgs.gov","contributorId":2863,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","email":"ependleton@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526024,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70168372,"text":"ofr20131280N - 2015 - Uranium in the Islamic Republic of Mauritania (phase V, deliverable 81)","interactions":[{"subject":{"id":70168372,"text":"ofr20131280N - 2015 - Uranium in the Islamic Republic of Mauritania (phase V, deliverable 81)","indexId":"ofr20131280N","publicationYear":"2015","noYear":false,"chapter":"N","title":"Uranium in the Islamic Republic of Mauritania (phase V, deliverable 81)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V"},"id":1}],"isPartOf":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V"},"lastModifiedDate":"2022-12-08T16:47:58.516665","indexId":"ofr20131280N","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1280","chapter":"N","title":"Uranium in the Islamic Republic of Mauritania (phase V, deliverable 81)","docAbstract":"<p>Mauritania has 80 known uranium mineral occurrences and is the current focus of active exploration for uranium by a number of private companies. Seventeen occurrences have had resource estimates published and can be considered as mineral deposits. Fourteen of these are calcrete-type deposits with a total resource of 138.3 million tonnes at an average grade of 331 ppm U3O8. The three bedrock-hosted deposits are granite hosted vein/shear zone type deposits with a total resource of 46.5 million tonnes at a grade of 248 ppm U3O8.</p>\n<p>All of the deposits and the majority of the other uranium occurrences are found in the Paleoproterozoic Rgue&iuml;bat Shield in areas underlain by the Cortege de Yetti, the Complexe de Tme&iuml;michatt Ghallamane and the Complexe d'Adam Esseder. This area is also visible in the PRISM airborne radiometric data as an extensive &gt;4 ppm equivalent uranium anomaly.</p>\n<p>Uranium occurrences are also reported in the Tasiast-Tijirit Terrane of the Archean Rgue&iuml;bat Shield, the Mauritanide Belt, and the Coastal Basin. Geologic environments permissive for eight types of uranium deposits are recognized in Mauritania. These deposit types include: calcrete, granite-hosted vein/shear, alkaline intrusive, unconformity-associated, quartz pebble conglomerate, phosphate, sandstone, and red bed-type uranium deposits.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République  Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280N","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Fernette, G., 2015, Uranium in the Islamic Republic of Mauritania (phase V, deliverable 81): U.S. Geological Survey Open-File Report 2013-1280, viii, 56 p., https://doi.org/10.3133/ofr20131280N.","productDescription":"viii, 56 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052712","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":319072,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1280/Final_Reports_English/deliverable_81-Uranium-chapter_N.pdf","text":"Chapter N","linkFileType":{"id":1,"text":"pdf"}},{"id":319073,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131280N.PNG"}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f11b7de4b0f59b85ddc575","contributors":{"authors":[{"text":"Fernette, Gregory gfernette@usgs.gov","contributorId":149751,"corporation":false,"usgs":true,"family":"Fernette","given":"Gregory","email":"gfernette@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":622201,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168371,"text":"ofr20131280M - 2015 - Iron oxide copper-gold deposits in the Islamic Republic of Mauritania (phase V, deliverable 79)","interactions":[{"subject":{"id":70168371,"text":"ofr20131280M - 2015 - Iron oxide copper-gold deposits in the Islamic Republic of Mauritania (phase V, deliverable 79)","indexId":"ofr20131280M","publicationYear":"2015","noYear":false,"chapter":"M","title":"Iron oxide copper-gold deposits in the Islamic Republic of Mauritania (phase V, deliverable 79)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V"},"id":1}],"isPartOf":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République  Islamique de Mauritanie (PRISM-II) Phase V"},"lastModifiedDate":"2022-12-08T16:48:28.709494","indexId":"ofr20131280M","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1280","chapter":"M","title":"Iron oxide copper-gold deposits in the Islamic Republic of Mauritania (phase V, deliverable 79)","docAbstract":"<p>Mauritania hosts one significant copper-gold deposit, Guelb Moghrein and several occurrences, which have been categorized as iron oxide copper-gold (IOCG) deposits but which are atypical in some important respects. Nonetheless, Guelb Moghrein is an economically significant mineral deposit and an attractive exploration target. The deposit is of Archean age and is hosted by a distinctive metacarbonate rock which is part of a greenstone-banded iron formation (BIF) package within a thrust stack in the northern part of the Mauritanide Belt. The surrounding area hosts a number of similar copper-gold occurrences. Based on the characteristics of the Guelb Moghrein deposit and its geologic environment, five tracts which are considered permissive for IOCG type mineralization similar to Guelb Moghrein have been delineated.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République  Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280M","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Fernette, G., 2015, Iron oxide copper-gold deposits in the Islamic Republic of Mauritania (phase V, deliverable 79): U.S. Geological Survey Open-File Report 2013-1280, vi, 21 p., https://doi.org/10.3133/ofr20131280M.","productDescription":"vi, 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052711","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":319075,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131280M.PNG"},{"id":319074,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1280/Final_Reports_English/deliverable_79-IOCG-chapter_M.pdf","text":"Chapter M","linkFileType":{"id":1,"text":"pdf"}}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f11b5ce4b0f59b85ddc446","contributors":{"authors":[{"text":"Fernette, Gregory gfernette@usgs.gov","contributorId":149751,"corporation":false,"usgs":true,"family":"Fernette","given":"Gregory","email":"gfernette@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":622199,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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