Ecological functions and flood-related risks were assessed for floodplains along the 17 major rivers flowing into Puget Sound Basin, Washington. The assessment addresses five ecological functions, five components of flood-related risks at two spatial resolutions—fine and coarse. The fine-resolution assessment compiled spatial attributes of floodplains from existing, publicly available sources and integrated the attributes into 10-meter rasters for each function, hazard, or exposure. The raster values generally represent different types of floodplains with regard to each function, hazard, or exposure rather than the degree of function, hazard, or exposure. The coarse-resolution assessment tabulates attributes from the fine-resolution assessment for larger floodplain units, which are floodplains associated with 0.1 to 21-kilometer long segments of major rivers. The coarse-resolution assessment also derives indices that can be used to compare function or risk among different floodplain units and to develop normative (based on observed distributions) standards. The products of the assessment are available online as geospatial datasets (Konrad, 2015; http://dx.doi.org/10.5066/F7DR2SJC).
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For the State of West Virginia, elevation data are critical for natural resources conservation, flood risk management, forest resources management, infrastructure and construction management, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
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Virginia\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: Originally posted March 23, 2015; Version: 1.1: June 25, 2015","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55112b1fe4b02e76d75b50b8","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":127609,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":541905,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70145169,"text":"70145169 - 2015 - Observing a catastrophic thermokarst lake drainage in northern Alaska","interactions":[],"lastModifiedDate":"2015-06-04T10:23:09","indexId":"70145169","displayToPublicDate":"2015-03-23T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Observing a catastrophic thermokarst lake drainage in northern Alaska","docAbstract":"The formation and drainage of thermokarst lakes have reshaped ice-rich permafrost lowlands in the Arctic throughout the Holocene. North of Teshekpuk Lake, on the Arctic Coastal Plain of northern Alaska, thermokarst lakes presently occupy 22.5% of the landscape, and drained thermokarst lake basins occupy 61.8%. Analysis of remotely sensed imagery indicates that nine lakes (>10 ha) have drained in the 1,750 km2 study area between 1955 and 2014. The most recent lake drainage was observed using in situ data loggers providing information on the duration and magnitude of the event, and a nearby weather station provided information on the environmental conditions preceding the lake drainage. Lake 195 (L195), an 80 ha thermokarst lake with an estimated water volume of ~872,000 m3, catastrophically drained on 05 July 2014. Abundant winter snowfall and heavy early summer precipitation resulted in elevated lake water levels that likely promoted bank overtopping, thermo-erosion along an ice-wedge network, and formation of a 9 m wide, 2 m deep, and 70 m long drainage gully. The lake emptied in 36 hours, with 75% of the water volume loss occurring in the first ten hours. The observed peak discharge of the resultant flood was 25 m3/s, which is similar to that in northern Alaska river basins whose areas are more than two orders of magnitude larger. Our findings support the catastrophic nature of sudden lake drainage events and the mechanistic hypotheses developed by J. Ross Mackay.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, Sussex, England","doi":"10.1002/ppp.1842","usgsCitation":"Jones, B.M., and Arp, C.D., 2015, Observing a catastrophic thermokarst lake drainage in northern Alaska: Permafrost and Periglacial Processes, v. 26, no. 2, p. 119-128, https://doi.org/10.1002/ppp.1842.","productDescription":"10 p.","startPage":"119","endPage":"128","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058922","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":299375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.11346435546875,\n 70.64814065995955\n ],\n [\n -153.81683349609375,\n 70.72897946208789\n ],\n [\n -153.7152099609375,\n 70.7235398817235\n ],\n [\n -153.621826171875,\n 70.73441756577733\n ],\n [\n -153.4405517578125,\n 70.69995129442536\n ],\n [\n -153.358154296875,\n 70.63630548079054\n ],\n [\n -153.33892822265625,\n 70.6381267305321\n ],\n [\n -153.33343505859375,\n 70.65451056704278\n ],\n [\n -153.27301025390625,\n 70.66724433235791\n ],\n [\n -153.204345703125,\n 70.66087845765566\n ],\n [\n -153.18511962890625,\n 70.64723050859092\n ],\n [\n -153.14117431640625,\n 70.64905077016431\n ],\n [\n -153.072509765625,\n 70.64267913423242\n ],\n [\n -152.984619140625,\n 70.59984587310147\n ],\n [\n -152.6165771484375,\n 70.55966406981804\n ],\n [\n -152.51495361328125,\n 70.58250444499285\n ],\n [\n -152.314453125,\n 70.57885171945057\n ],\n [\n -152.2979736328125,\n 70.60167042013317\n ],\n [\n -152.43255615234375,\n 70.61352595482504\n ],\n [\n -152.48199462890625,\n 70.69268768325199\n ],\n [\n -152.43804931640625,\n 70.69541184552675\n ],\n [\n -152.37762451171875,\n 70.7153777416415\n ],\n [\n -152.303466796875,\n 70.78148599387845\n ],\n [\n -152.2100830078125,\n 70.79594631369068\n ],\n [\n -152.20184326171875,\n 70.81761716431917\n ],\n [\n -152.38861083984375,\n 70.85728594792577\n ],\n [\n -152.59185791015625,\n 70.88338810016397\n ],\n [\n -152.70721435546872,\n 70.88338810016397\n ],\n [\n -152.78961181640625,\n 70.882488596545\n ],\n [\n -152.83905029296875,\n 70.84917830714011\n ],\n [\n -153.0010986328125,\n 70.88878426638139\n ],\n [\n -153.0560302734375,\n 70.9121507137758\n ],\n [\n -153.26202392578125,\n 70.9202326894952\n ],\n [\n -153.4844970703125,\n 70.88518698518163\n ],\n [\n -153.70422363281247,\n 70.88968348485005\n ],\n [\n -153.80859375,\n 70.88878426638139\n ],\n [\n -153.95416259765622,\n 70.87889017463034\n ],\n [\n -153.93768310546872,\n 70.87169137475729\n ],\n [\n -153.995361328125,\n 70.82303119876653\n ],\n [\n -154.039306640625,\n 70.81220165893917\n ],\n [\n -154.17388916015625,\n 70.76791992927899\n ],\n [\n -154.237060546875,\n 70.77696499572423\n ],\n [\n -154.31121826171875,\n 70.79413934642666\n ],\n [\n -154.34967041015625,\n 70.78239007072987\n ],\n [\n -154.43756103515622,\n 70.70085906098585\n ],\n [\n -154.11346435546875,\n 70.64814065995955\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-23","publicationStatus":"PW","scienceBaseUri":"5523ae40e4b027f0aee3d141","chorus":{"doi":"10.1002/ppp.1842","url":"http://dx.doi.org/10.1002/ppp.1842","publisher":"Wiley-Blackwell","authors":"Jones Benjamin M., Arp Christopher D.","journalName":"Permafrost and Periglacial Processes","publicationDate":"3/23/2015","auditedOn":"9/9/2015"},"contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":544014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":544015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160539,"text":"70160539 - 2015 - Book review: Analysis of capture–recapture data","interactions":[],"lastModifiedDate":"2017-06-27T14:24:00","indexId":"70160539","displayToPublicDate":"2015-03-21T01:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Analysis of capture–recapture data","docAbstract":"Analysis of Capture–Recapture Data by McCrea and Morgan is an excellent, easy to read monograph about capture–recapture models. In this book, the authors provide a concise overview of traditional closed population capture–recapture models (Models M0, Mb, Mh, etc.), individual covariate models, and open population models such as the Cormack–Jolly–Seber, Jolly–Seber models, multi-state models, and more recent developments such as occupancy models, state-space models, and integrated population models. The authors write “In this book we aim to cover the many modern developments in the area of capture–recapture and related models, and to set them in historical context of relevant research over the past 100 years.” The book does a good job of achieving this objective. And it is a very easy to read because it is well organized and the writing is clear and concise. I would recommend this book as a reference for the quantitative ecologist or statistician interested in knowing what’s out there.
\nReview info: Analysis of Capture–Recapture Data. By Rachel S. McCrea and Byron J. T. Morgan, 2015. ISBN: 978-14398-6590, xx+292 pp.
\n","language":"English","publisher":"American Statistical Association : International Biometric Society","publisherLocation":"Alexandria, VA","doi":"10.1007/s13253-015-0202-9","usgsCitation":"Royle, A., 2015, Book review: Analysis of capture–recapture data: Journal of Agricultural, Biological, and Environmental Statistics, v. 20, no. 3, p. 431-432, https://doi.org/10.1007/s13253-015-0202-9.","productDescription":"2 p.","startPage":"431","endPage":"432","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064018","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":312933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-21","publicationStatus":"PW","scienceBaseUri":"56826b3ce4b0a04ef4925b27","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":583084,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70141851,"text":"sir20155030 - 2015 - Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13","interactions":[],"lastModifiedDate":"2015-03-20T12:40:05","indexId":"sir20155030","displayToPublicDate":"2015-03-20T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5030","title":"Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13","docAbstract":"
This report updates and examines hydrologic data gathered to characterize the performance of two stormwater-control measure (SCM) sites in the Chagrin River watershed, Ohio. At the Sterncrest Drive site, roadside bioswales and rain gardens were used to alleviate drainage problems in this residential neighborhood area. At the Washington Street site, a treatment train (including a pervious-paver system, rain garden, and bioswales) was used to reduce and delay stormwater runoff at a small business development. Selected metrics were used to demonstrate SCM system performance with regard to stormwater-management objectives at each site. Rain-garden overflow-frequency data collected at the Sterncrest Drive site during 2008–13 were used to characterize system sensitivity to rainfall characteristics. Approximately 70 percent of storms exceeding 0.75 inches during 3 hours or more resulted in overflows. Drainage-design features that may restrict flow through the system were identified. Overall, the data and local observations confirmed the continued success of the SCM at the Sterncrest Drive site in preventing roadway closure due to flooding. The additional years of data collected at the Washington Street site indicated that a previous analysis of increased runoff removal, based on only the first 2 years (2009–10) of data, provided premature conclusions. With 5 years of data (2009–13) and adjusting for changes in rainfall characteristics, it appears that the percentage of runoff removed by the system is decreasing; however, the lag time (time from onset of rainfall to runoff) has remained nearly constant. The annual mean percent removal for 2010–13 ranged from 55 to 37 percent with an overall mean of 45 percent, and this does meet the project objective of reducing runoff from the business complex. One possible explanation for the combination of increased volume of runoff and no change in the timing of runoff is the preferential flow paths developed in the SCM, increasing the capacity for internal drainage. Data indicated that the SCM system at the Washington Street site had reduced functionality over time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155030","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Office of Research and Development","usgsCitation":"Darner, R.A., Shuster, W.D., and Dumouchelle, D.H., 2015, Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13: U.S. Geological Survey Scientific Investigations Report 2015-5030, v, 27 p., https://doi.org/10.3133/sir20155030.","productDescription":"v, 27 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056876","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":298841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155030.jpg"},{"id":298839,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5030/"},{"id":298840,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5030/pdf/sir2015-5030.pdf","size":"3.69 MB","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.47838592529297,\n 41.381703200976666\n ],\n [\n -81.47838592529297,\n 41.45301999377133\n ],\n [\n -81.34620666503906,\n 41.45301999377133\n ],\n [\n -81.34620666503906,\n 41.381703200976666\n ],\n [\n -81.47838592529297,\n 41.381703200976666\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d369ce4b02e76d759d869","contributors":{"authors":[{"text":"Darner, Robert A. 0000-0003-1333-8265 radarner@usgs.gov","orcid":"https://orcid.org/0000-0003-1333-8265","contributorId":1972,"corporation":false,"usgs":true,"family":"Darner","given":"Robert","email":"radarner@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shuster, William D.","contributorId":139413,"corporation":false,"usgs":false,"family":"Shuster","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":543010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumouchelle, Denise H. ddumouch@usgs.gov","contributorId":1847,"corporation":false,"usgs":true,"family":"Dumouchelle","given":"Denise","email":"ddumouch@usgs.gov","middleInitial":"H.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543011,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139410,"text":"sir20155013 - 2015 - Seismic-sequence stratigraphy and geologic structure of the Floridan aquifer system near \"Boulder Zone\" deep wells in Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2015-03-20T11:46:21","indexId":"sir20155013","displayToPublicDate":"2015-03-20T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5013","title":"Seismic-sequence stratigraphy and geologic structure of the Floridan aquifer system near \"Boulder Zone\" deep wells in Miami-Dade County, Florida","docAbstract":"The U.S. Geological Survey, in cooperation with the Miami-Dade Water and Sewer Department, acquired, processed, and interpreted seismic-reflection data near the North and South District “Boulder Zone” Well Fields to determine if geologic factors may contribute to the upward migration of injected effluent into that upper part of the Floridan aquifer system designated by the U.S. Environmental Protection Agency as an underground source of drinking water. The depth of the Boulder Zone at the North and South District “Boulder Zone” Well Fields ranges from about 2,750 to 3,300 feet below land surface (ft bls), whereas overlying permeable zones used as alternative drinking water supply range in depth from about 825 to 1,580 ft bls at the North and South District “Boulder Zone” Well Fields. Seismic-sequence stratigraphy and geologic structures imaged on seismic-reflection profiles created for the study describe the part of the Floridan aquifer system overlying and within the Boulder Zone. Features of the Floridan aquifer system underlying the Boulder Zone were not studied because seismic-reflection profiles acquired near the North and South District “Boulder Zone” Well Fields lacked adequate resolution at such depths.
\nStratigraphic analysis of seismic-reflection data collected from the study area was mainly applied to the Floridan aquifer system and used to identify four provisional seismic sequences, which extend vertically from near the base of the Floridan aquifer system upward to the lower part of the intermediate confining unit. These four seismic sequences compose a framework in which each sequence includes a major permeable unit of the Floridan aquifer system; from shallowest to deepest, these units are the Upper Floridan aquifer, Avon Park permeable zone, uppermost major permeable zone of the Lower Floridan aquifer, and Boulder Zone. The relations between seismic-sequence stratigraphy and hydrostratigraphy allow for detailed mapping of permeable zones and semiconfining units of the Floridan aquifer system at a level of resolution never before accomplished using well data alone.
\nIn addition to the preceding seismic-reflection analysis, interpretation of geophysical well log data from four effluent injection wells at the North District “Boulder Zone” Well Field delineated a narrow karst collapse structure beneath the injection facility that extends upward about 900 ft from the top of the Boulder Zone to about 125 ft above the top of the uppermost major permeable zone of the Lower Floridan aquifer. No karst collapse structures were identified in the seismic-reflection profiles acquired near the North District “Boulder Zone” Well Field. However, karst collapse structures at the level of the lowermost major permeable zone of the Lower Floridan aquifer at the South District “Boulder Zone” Well Field are present at three locations, as indicated by seismic-reflection data acquired in the C–1 Canal bordering the south side of the injection facility. Results from the North District “Boulder Zone” Well Field well data indicate that a plausible hydraulic connection between faults and stratiform permeability zones may contribute to the upward transport of effluent, terminating above the base of the deepest U.S. Environmental Protection Agency designated underground source of drinking water at the North District “Boulder Zone” Well Field.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155013","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"Cunningham, K.J., 2015, Seismic-sequence stratigraphy and geologic structure of the Floridan aquifer system near \"Boulder Zone\" deep wells in Miami-Dade County, Florida: U.S. Geological Survey Scientific Investigations Report 2015-5013, Report: vii, 28 p.; 2 Plates: 48.00 x 36.00 inches and 35.86 x 31.74 inches, https://doi.org/10.3133/sir20155013.","productDescription":"Report: vii, 28 p.; 2 Plates: 48.00 x 36.00 inches and 35.86 x 31.74 inches","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051033","costCenters":[{"id":269,"text":"FLWSC-Ft. 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In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of earth science research and investigate the use of “communities of practice” as mechanisms to share expertise about these issues. Out of this effort emerged the Council for Data Integration, which was conceived as an official organizational function that would help guide data integration activities and formalize communities of practice into working groups. However by 2009, it became apparent that many members of the council had an interest in developing data integration solutions and sharing expertise in a less formal grassroots perspective, thus transforming the “Council” into a “Community” for Data Integration (CDI). Today, the CDI represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the USGS and the CDI community.
\nThe CDI fosters an environment for collaboration and sharing by bringing together expertise from external partners and representatives across USGS who are involved in research, data management, and information technology. Membership is voluntary and open to USGS employees and other individuals and organizations willing to contribute to the community (if interested, contact cdi@usgs.gov). The purpose of the CDI is to
\nTo achieve these goals, the CDI operates within four applied areas: monthly forums, annual workshop/webinar series, working groups, and projects. The monthly forums, also known as the Opportunity/Challenge of the Month, provide an open dialogue to share and learn about data integration efforts or to present problems that invite the Community to offer solutions, advice, and support. Since 2010, the CDI has also sponsored annual workshops/webinar series to encourage the exchange of ideas, sharing of activities, presentations of current projects, and networking among members. Stemming from common interests, the working groups are focused on efforts to address data management and technical 2 challenges, including the development of standards and tools, improving interoperability and information infrastructure, and data preservation within USGS and its partners. The growing support for the activities of the working groups led to the CDI’s first formal request for proposals (RFP) process in 2013 to fund projects that produced tangible products. Today the CDI continues to hold an annual RFP that create data management tools and practices, collaboration tools, and training in support of data integration and delivery.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151005","usgsCitation":"Chang, M.Y., Carlino, J., Barnes, C., Blodgett, D.L., Bock, A.R., Everette, A.L., Fernette, G., Flint, L.E., Gordon, J.M., Govoni, D.L., Hay, L.E., Henkel, H., Hines, M., Holl, S.L., Homer, C.G., Hutchison, V., Ignizio, D., Kern, T., Lightsom, F.L., Markstrom, S., O’Donnell, M.S., Schei, J.L., Schmid, L.A., Schoephoester, K.M., Schweitzer, P.N., Skagen, S.K., Sullivan, D.J., Talbert, C., and Warren, M.P., 2015, Community for Data Integration 2013 Annual Report: U.S. Geological Survey Open-File Report 2015-1005, v, 36 p., https://doi.org/10.3133/ofr20151005.","productDescription":"v, 36 p.","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057786","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":298831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151005.jpg"},{"id":298829,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1005/"},{"id":298830,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1005/pdf/ofr2015-1005.pdf","size":"2.76 MB","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d3698e4b02e76d759d864","contributors":{"authors":[{"text":"Chang, Michelle Y. mchang@usgs.gov","contributorId":5880,"corporation":false,"usgs":true,"family":"Chang","given":"Michelle","email":"mchang@usgs.gov","middleInitial":"Y.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":542960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlino, Jennifer jcarlino@usgs.gov","contributorId":5881,"corporation":false,"usgs":true,"family":"Carlino","given":"Jennifer","email":"jcarlino@usgs.gov","affiliations":[{"id":5076,"text":"Federal Geographic Data Committee","active":true,"usgs":true}],"preferred":false,"id":542961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Christopher 0000-0002-4608-4364 barnes@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":3617,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"barnes@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":542962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Everette, Anthony L. 0000-0003-2539-9129 everettel@usgs.gov","orcid":"https://orcid.org/0000-0003-2539-9129","contributorId":4905,"corporation":false,"usgs":true,"family":"Everette","given":"Anthony","email":"everettel@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":542965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fernette, Gregory L. gfernette@usgs.gov","contributorId":4224,"corporation":false,"usgs":true,"family":"Fernette","given":"Gregory L.","email":"gfernette@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":542966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542973,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gordon, Janice M. janicegordon@usgs.gov","contributorId":4917,"corporation":false,"usgs":true,"family":"Gordon","given":"Janice","email":"janicegordon@usgs.gov","middleInitial":"M.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":542974,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Govoni, David L. dgovoni@usgs.gov","contributorId":5192,"corporation":false,"usgs":true,"family":"Govoni","given":"David","email":"dgovoni@usgs.gov","middleInitial":"L.","affiliations":[{"id":5071,"text":"Office of Administration","active":true,"usgs":true}],"preferred":true,"id":542975,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":542976,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Henkel, Heather S. hhenkel@usgs.gov","contributorId":2869,"corporation":false,"usgs":true,"family":"Henkel","given":"Heather S.","email":"hhenkel@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542977,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hines, Megan 0000-0002-9845-4849 mhines@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-4849","contributorId":4783,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","email":"mhines@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542978,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Holl, Sally L. sholl@usgs.gov","contributorId":4464,"corporation":false,"usgs":true,"family":"Holl","given":"Sally","email":"sholl@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542979,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":542980,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":5100,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian B.","email":"vhutchison@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":542981,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":542982,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Kern, Tim J. kernt@usgs.gov","contributorId":4454,"corporation":false,"usgs":true,"family":"Kern","given":"Tim J.","email":"kernt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":542983,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Lightsom, Frances L. 0000-0003-4043-3639 flightsom@usgs.gov","orcid":"https://orcid.org/0000-0003-4043-3639","contributorId":1535,"corporation":false,"usgs":true,"family":"Lightsom","given":"Frances","email":"flightsom@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542984,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - 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2015 - Geophysical log analysis of selected test and residential wells at the Shenandoah Road National Superfund Site, East Fishkill, Dutchess County, New York","interactions":[],"lastModifiedDate":"2015-03-20T09:35:52","indexId":"sir20145228","displayToPublicDate":"2015-03-20T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5228","title":"Geophysical log analysis of selected test and residential wells at the Shenandoah Road National Superfund Site, East Fishkill, Dutchess County, New York","docAbstract":"The U.S. Geological Survey collected and analyzed geophysical logs from 20 test wells and 23 residential wells at the Shenandoah Road National Superfund Site in East Fishkill, New York, from 2006 through 2010 as part of an Interagency Agreement to provide hydrogeologic technical support to the U.S. Environmental Protection Agency, Region 2. The geophysical logs collected include caliper, gamma, acoustic and optical televiewer, deviation, electromagnetic-induction, magnetic-susceptibility, fluid-property, and flow under ambient and pumped conditions. The geophysical logs were analyzed along with single-well aquifer test data and drilling logs to characterize the lithology, fabric, fractures, and flow zones penetrated by the wells. The results of the geophysical log analysis were used as part of the hydrogeologic characterization of the site and in the design of discrete-zone monitoring installations in the test wells and selected residential wells.
\nMost of the logged test and residential wells penetrated gneiss of the Hudson Highlands Complex or dolostones in the Wappinger Group, and some wells penetrated both the dolostone and gneiss. The bedrock fabric reflects the regional northeast-southwest structural trend, as well as localized folding, and includes foliation in the gneiss and bedding in the dolostone. Many fractures were oriented along the bedrock fabric, whereas others were orthogonal to the fabric.
\nTotal wellbore transmissivity of the wells was estimated from short-term, single-well aquifer test data through the use of the Cooper-Jacob analytical solution. An empirical relation was established to estimate total wellbore transmissivity from specific-capacity data for wells with insufficient transient drawdown measurements. Wellbore transmissivity estimates ranged from 0.36 to 370 feet squared per day (ft2/d), whereas specific capacities ranged from 0.03 to 2.1 gallons per minute per foot ((gal/min)/ft).
\nTransmissivity and hydraulic heads of individual fracture zones were estimated from the total wellbore transmissivity and flow logs through use of an analytical model based on the Thiem equation. The model-estimated transmissivity of 95 fracture zones delineated in the 43 wells ranged from 0.25 to 340 ft2/d, with a median value of 6.7 ft2/d. The difference between model-estimated fracture-zone heads and the composite heads in each well ranged from less 0.01 to more than 10 feet (ft). Flow-log analysis generally provided an order of magnitude estimate for the fracture-zone hydraulic-head difference on the basis of a comparison of estimated and measured values.
\nThe geophysical logs and their analyses are available for display and download from the U.S. Geological Survey, New York Water Science Center, online geophysical log archive (http://ny.water.usgs.gov/maps/geologs/) in LAS (Log ASCII Standard), PDF, and WellCad formats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145228","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Reynolds, R.J., Anderson, J.A., and Williams, J., 2015, Geophysical log analysis of selected test and residential wells at the Shenandoah Road National Superfund Site, East Fishkill, Dutchess County, New York: U.S. Geological Survey Scientific Investigations Report 2014-5228, Report: viii, 30 p.; Geophysical Log Archive; WellCad reader download, https://doi.org/10.3133/sir20145228.","productDescription":"Report: viii, 30 p.; Geophysical Log Archive; WellCad reader download","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042201","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":298827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145228.jpg"},{"id":298824,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5228/pdf/sir2014-5228.pdf","size":"2.38 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":298825,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://ny.water.usgs.gov/maps/geologs/","text":"Geophysical Log Archive","linkHelpText":"The USGS New York Water Science Center has developed an online geophysical log archive where the logs and log analysis of the Shenandoah Road Superfund site wells, as well as many others throughout the State, can be viewed or downloaded."},{"id":298823,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5228/"},{"id":298826,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://www.alt.lu/downloads.htm","text":"WellCad reader download","linkHelpText":"The locations of the Shenandoah Road National Superfund Site wells are shown on the index map. The user can zoom-in to the well cluster located just east of Fishkill, N.Y., to expand the view of the wells logged. Clicking on an individual well will bring up a menu of the available log formats, which are LAS, PDF, and WellCad Reader. WellCad Reader is available online free of charge."}],"scale":"24000","country":"United States","state":"New York","county":"Dutchess County","city":"East Fishkill","otherGeospatial":"Shenandoah Road National Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.80074501037598,\n 41.5186034007529\n ],\n [\n -73.80074501037598,\n 41.545075129729334\n ],\n [\n -73.7743091583252,\n 41.545075129729334\n ],\n [\n -73.7743091583252,\n 41.5186034007529\n ],\n [\n -73.80074501037598,\n 41.5186034007529\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d369be4b02e76d759d867","contributors":{"authors":[{"text":"Reynolds, Richard J. 0000-0001-5032-6613 rjreynol@usgs.gov","orcid":"https://orcid.org/0000-0001-5032-6613","contributorId":1082,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rjreynol@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton aanders@usgs.gov","contributorId":1602,"corporation":false,"usgs":true,"family":"Anderson","given":"J.","email":"aanders@usgs.gov","middleInitial":"Alton","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":536840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142770,"text":"fs20153023 - 2015 - Contaminant removal by wastewater treatment plants in the Stillaguamish River Basin, Washington","interactions":[],"lastModifiedDate":"2015-03-20T08:39:58","indexId":"fs20153023","displayToPublicDate":"2015-03-20T08:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3023","title":"Contaminant removal by wastewater treatment plants in the Stillaguamish River Basin, Washington","docAbstract":"Human activities in most areas of the developed world typically release nutrients, pharmaceuticals, personal care products, pesticides, and other contaminants into the environment, many of which reach freshwater ecosystems. In urbanized areas, wastewater treatment plants (WWTPs) are critical facilities for collecting and reducing the amounts of wastewater contaminants (WWCs) that ultimately discharge to rivers, coastal areas, and groundwater. Most WWTPs use multiple methods to remove contaminants from wastewater. These include physical methods to remove solid materials (primary treatment), biological and chemical methods to remove most organic matter (secondary treatment), advanced methods to reduce the concentrations of various contaminants such as nitrogen, phosphorus and (or) synthetic organic compounds (tertiary treatment), and disinfection prior to discharge (Metcalf and Eddy, Inc., 1979). This study examined the extent to which 114 organic WWCs were removed by each of three WWTPs, prior to discharge to freshwater and marine ecosystems, in a rapidly developing area in northwestern Washington State. Removal percentages for each WWC were estimated by comparing the concentrations measured in the WWTP influents with those measured in the effluents. The investigation was carried out in the 700-mi2Stillaguamish River Basin, the fifth largest watershed that discharges to Puget Sound (fig. 1).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153023","usgsCitation":"Barbash, J.E., Moran, P.W., Wagner, R.J., and Wolanek, M., 2015, Contaminant removal by wastewater treatment plants in the Stillaguamish River Basin, Washington: U.S. Geological Survey Fact Sheet 2015-3023, 4 p., https://doi.org/10.3133/fs20153023.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057746","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":298822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153023.jpg"},{"id":298821,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3023/pdf/fs2015-3023.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298778,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3023/"}],"projection":"Transverse Mercator projection, UTM Zone 10","datum":"North American Datum of 1983","country":"United States","state":"Washington","otherGeospatial":"Stillaguamish River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.39181518554686,\n 48.26491251331118\n ],\n [\n -122.21328735351562,\n 48.32156041109599\n ],\n [\n -122.11715698242188,\n 48.40732607972984\n ],\n [\n -121.94961547851562,\n 48.46745824148332\n ],\n [\n -121.64337158203124,\n 48.46108396195774\n ],\n [\n -121.57608032226562,\n 48.387266208071274\n ],\n [\n -121.61315917968749,\n 48.265826687750916\n ],\n [\n -121.57882690429688,\n 48.20087966673982\n ],\n [\n -121.47308349609374,\n 48.1367666796927\n ],\n [\n -121.41403198242189,\n 48.09000531373827\n ],\n [\n -121.4483642578125,\n 48.04779189160941\n ],\n [\n -121.5252685546875,\n 48.09459164290992\n ],\n [\n -121.61315917968749,\n 48.08358376568458\n ],\n [\n -121.81915283203126,\n 48.13218411348939\n ],\n [\n -121.98669433593749,\n 48.12118428591277\n ],\n [\n -122.12677001953124,\n 48.189894561126884\n ],\n [\n -122.21603393554688,\n 48.189894561126884\n ],\n [\n -122.35198974609375,\n 48.11476663187632\n ],\n [\n -122.36984252929688,\n 48.13493370228957\n ],\n [\n -122.37396240234375,\n 48.167001359708934\n ],\n [\n -122.37533569335936,\n 48.19904897935913\n ],\n [\n -122.39181518554686,\n 48.26491251331118\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550be51ae4b02e76d759cdc8","contributors":{"authors":[{"text":"Barbash, Jack E. 0000-0001-9854-8880 jbarbash@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-8880","contributorId":1003,"corporation":false,"usgs":true,"family":"Barbash","given":"Jack","email":"jbarbash@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Richard J. rjwagner@usgs.gov","contributorId":3122,"corporation":false,"usgs":true,"family":"Wagner","given":"Richard","email":"rjwagner@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolanek, Michael","contributorId":139629,"corporation":false,"usgs":false,"family":"Wolanek","given":"Michael","email":"","affiliations":[{"id":12809,"text":"City of Arlington, WA","active":true,"usgs":false}],"preferred":false,"id":542816,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70144305,"text":"70144305 - 2015 - A review of infectious agents in polar bears (Ursus maritimus) and their long-term ecological relevance","interactions":[],"lastModifiedDate":"2015-11-09T10:27:07","indexId":"70144305","displayToPublicDate":"2015-03-20T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"A review of infectious agents in polar bears (Ursus maritimus) and their long-term ecological relevance","docAbstract":"Disease was a listing criterion for the polar bear (Ursus maritimus) as threatened under the Endangered Species Act in 2008; it is therefore important to evaluate the current state of knowledge and identify any information gaps pertaining to diseases in polar bears. We conducted a systematic literature review focused on infectious agents and associated health impacts identified in polar bears. Overall, the majority of reports in free-ranging bears concerned serosurveys or fecal examinations with little to no information on associated health effects. In contrast, most reports documenting illness or pathology referenced captive animals and diseases caused by etiologic agents not representative of exposure opportunities in wild bears. As such, most of the available infectious disease literature has limited utility as a basis for development of future health assessment and management plans. Given that ecological change is a considerable risk facing polar bear populations, future work should focus on cumulative effects of multiple stressors that could impact polar bear population dynamics.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-015-1023-6","usgsCitation":"Fagre, A., Patyk, K.A., Nol, P., Atwood, T.C., Hueffer, K., and Duncan, C.G., 2015, A review of infectious agents in polar bears (Ursus maritimus) and their long-term ecological relevance: EcoHealth, v. 12, no. 3, p. 528-539, https://doi.org/10.1007/s10393-015-1023-6.","productDescription":"12 p.","startPage":"528","endPage":"539","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056756","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":299023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-20","publicationStatus":"PW","scienceBaseUri":"55167f29e4b0323842781aed","contributors":{"authors":[{"text":"Fagre, Anna C.","contributorId":139937,"corporation":false,"usgs":false,"family":"Fagre","given":"Anna C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":543502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patyk, Kelly A.","contributorId":139696,"corporation":false,"usgs":false,"family":"Patyk","given":"Kelly","email":"","middleInitial":"A.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":543503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nol, Pauline","contributorId":34053,"corporation":false,"usgs":false,"family":"Nol","given":"Pauline","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":543504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","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":543474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hueffer, Karsten","contributorId":139938,"corporation":false,"usgs":false,"family":"Hueffer","given":"Karsten","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":543505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Colleen G.","contributorId":15512,"corporation":false,"usgs":false,"family":"Duncan","given":"Colleen","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":543506,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70137544,"text":"70137544 - 2015 - The importance of particulate texture to the flow strength of ice + dust","interactions":[],"lastModifiedDate":"2015-10-19T15:22:16","indexId":"70137544","displayToPublicDate":"2015-03-20T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"The importance of particulate texture to the flow strength of ice + dust","docAbstract":"Preliminary experimental surveys of the flow of dilute mixtures of ice plus hard particulates under planetary conditions indicate a strengthening effect with respect to pure ice, but with dependencies on environmental conditions (temperature, stress, grain size) that vary widely from study to study [1-4]. With the expectation that the textural character of the particulate fraction (size, shape, spatial distribution of particulates; relationship of particulates to ice grain boundaries, etc.) also influences rheological behavior, we have begun a more systematic investigation of the effect of particulates on strength. We rely extensively on cryogenic scanning electron microscopy (CSEM) and to maximize planetary relevance we focus on behavior at low stress and small grain size.
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The formation and biomagnification of methylmercury is the primary concern of resource managers at Acadia, and information is needed to develop strategies for remediation or mitigation of this contaminant. The U.S. Geological Survey in cooperation with Acadia National Park, National Park Service carried out a series of laboratory and field experiments to evaluate the potential of zero-valent iron and granular activated carbon to reduce the rate of the bacterially mediated process of mercury methylation and subsequent biological uptake by the great pond snail Lymnaea stagnalis. The addition of zero-valent iron resulted in an increase in ferrous iron that was then further oxidized to poorly crystalline amorphous ferric iron, as was anticipated. Our original hypothesis was that these reactions would reduce methylation by decreasing the concentrations of substrates for bacterial methylation (sulfide and divalent mercury) through sorption to ferric iron surfaces, formation of iron sulfide compounds, or conversion of mercury to gaseous forms and subsequent evasion. The results of our experiments did not consistently support this hypothesis. In one experiment the application of zero-valent iron increased the amount of methylmercury associated with surficial sediment. In another experiment zero-valent iron decreased the amount of methylmercury associated with surficial sediment. The addition of zero-valent iron may have stimulated mercury methylation by iron reducing bacteria and if that effect outweighed the processes that could have decreased methylation then methylation would not be decreased.
\nThe results of field mesocosm experiments indicated that there was a decreasing trend in pore-water methylmercury concentration after application of granular activated carbon but methylation was not affected because there was no corresponding decrease in sediment methylmercury concentration. The application of granular activated carbon resulted in the sorption of methylmercury. The application of granular activated carbon resulted in an increase in the distribution coefficient for methylmercury indicating that this amendment caused a higher proportion of methylmercury to be associated with the sediment than the pore water in comparison to the reference (untreated) condition. Experiments to test whether zero-valent iron or granular activated carbon would reduce the biouptake of methylmercury in snails were inconsistent; zero-valent iron had no effect on uptake in one experiment but resulted in a significant decrease in uptake in a second experiment. Granular activated carbon did not affect biouptake in either experiment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145234","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Huntington, T.G., Lewis, A., Amirbahman, A., Marvin-DiPasquale, M.C., and Culbertson, C.W., 2015, Assessment of the use of sorbent amendments for reduction of mercury methylation in wetland sediments at Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2014-5234, ix, 30 p., https://doi.org/10.3133/sir20145234.","productDescription":"ix, 30 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056940","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":298773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145234.jpg"},{"id":298772,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5234/pdf/sir2014-5234.pdf","text":"Report","size":"2.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298771,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5234/"}],"country":"United States","state":"Maine","otherGeospatial":"Acadia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.40319633483885,\n 44.334347121728534\n ],\n [\n -68.39469909667969,\n 44.33446990650702\n ],\n [\n -68.38886260986328,\n 44.330479269611885\n ],\n [\n -68.38148117065428,\n 44.32397087926596\n ],\n [\n -68.37787628173827,\n 44.31604931683517\n ],\n [\n -68.37770462036133,\n 44.313408558353835\n ],\n [\n -68.3847427368164,\n 44.31132043263459\n ],\n [\n -68.39298248291014,\n 44.31389987125513\n ],\n [\n -68.39521408081055,\n 44.31426835323179\n ],\n [\n -68.39718818664551,\n 44.31561943401762\n ],\n [\n -68.39838981628418,\n 44.31571155202936\n ],\n [\n -68.40173721313477,\n 44.31353138696479\n ],\n [\n -68.40680122375487,\n 44.3123645047812\n ],\n [\n -68.40688705444336,\n 44.318137274295545\n ],\n [\n -68.40465545654297,\n 44.31936544986048\n ],\n [\n -68.40499877929688,\n 44.32691816435907\n ],\n [\n -68.40319633483885,\n 44.334347121728534\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550be518e4b02e76d759cdc4","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Ariel","contributorId":131004,"corporation":false,"usgs":false,"family":"Lewis","given":"Ariel","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":536869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amirbahman, Aria","contributorId":44031,"corporation":false,"usgs":true,"family":"Amirbahman","given":"Aria","email":"","affiliations":[],"preferred":false,"id":536868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - 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","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12192","usgsCitation":"DeBruyne, R.L., and Roseman, E., 2015, The renaissance of North American large rivers: synthesis of the special section: Restoration Ecology, v. 23, no. 2, p. 139-142, https://doi.org/10.1111/rec.12192.","productDescription":"4 p.","startPage":"139","endPage":"142","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062436","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":298769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"23","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-09","publicationStatus":"PW","scienceBaseUri":"550be51de4b02e76d759cdd0","chorus":{"doi":"10.1111/rec.12192","url":"http://dx.doi.org/10.1111/rec.12192","publisher":"Wiley-Blackwell","authors":"DeBruyne Robin L., Roseman Edward F.","journalName":"Restoration Ecology","publicationDate":"3/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":542736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":139749,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":542735,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143356,"text":"70143356 - 2015 - Direct detection of fungal siderophores on bats with white-nose syndrome via fluorescence microscopy-guided ambient ionization mass spectrometry","interactions":[],"lastModifiedDate":"2018-01-24T13:55:55","indexId":"70143356","displayToPublicDate":"2015-03-19T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Direct detection of fungal siderophores on bats with white-nose syndrome via fluorescence microscopy-guided ambient ionization mass spectrometry","docAbstract":"White-nose syndrome (WNS) caused by the pathogenic fungus Pseudogymnoascus destructans is decimating the populations of several hibernating North American bat species. Little is known about the molecular interplay between pathogen and host in this disease. Fluorescence microscopy ambient ionization mass spectrometry was used to generate metabolic profiles from the wings of both healthy and diseased bats of the genus Myotis. Fungal siderophores, molecules that scavenge iron from the environment, were detected on the wings of bats with WNS, but not on healthy bats. This work is among the first examples in which microbial molecules are directly detected from an infected host and highlights the ability of atmospheric ionization methodologies to provide direct molecular insight into infection.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0119668","usgsCitation":"Mascuch, S.J., Moree, W.J., Cheng-Chih Hsu, C., Turner, G.G., Cheng, T.L., Blehert, D., Kilpatrick, A.M., Frick, W., Meehan, M.J., Dorrestein, P.C., and Gerwick, L., 2015, Direct detection of fungal siderophores on bats with white-nose syndrome via fluorescence microscopy-guided ambient ionization mass spectrometry: PLoS ONE, v. 10, no. 3, e0119668: 12 p., https://doi.org/10.1371/journal.pone.0119668.","productDescription":"e0119668: 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057083","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0119668","text":"Publisher Index Page"},{"id":298766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6171875,\n 37.3002752813443\n ],\n [\n -82.6171875,\n 42.00032514831621\n ],\n [\n -74.81689453125,\n 42.00032514831621\n ],\n [\n -74.81689453125,\n 37.3002752813443\n ],\n [\n -82.6171875,\n 37.3002752813443\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-17","publicationStatus":"PW","scienceBaseUri":"550be51be4b02e76d759cdca","contributors":{"authors":[{"text":"Mascuch, Samantha J.","contributorId":139716,"corporation":false,"usgs":false,"family":"Mascuch","given":"Samantha","email":"","middleInitial":"J.","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moree, Wilna J.","contributorId":139717,"corporation":false,"usgs":false,"family":"Moree","given":"Wilna","email":"","middleInitial":"J.","affiliations":[{"id":12889,"text":"Skaggs School of Pharmacy & Pharmaceutical Sciences, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng-Chih Hsu, Cheng-Chih","contributorId":139718,"corporation":false,"usgs":false,"family":"Cheng-Chih Hsu","given":"Cheng-Chih","email":"","affiliations":[{"id":12890,"text":"Dept of Chemistry & Biochemistry, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Gregory G.","contributorId":139719,"corporation":false,"usgs":false,"family":"Turner","given":"Gregory","email":"","middleInitial":"G.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":542674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheng, Tina L.","contributorId":139720,"corporation":false,"usgs":false,"family":"Cheng","given":"Tina","email":"","middleInitial":"L.","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":127747,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":542670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kilpatrick, A. 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Eight underground stations are at depths from 300 feet below land surface to 4,850 feet below land surface. Surface stations were located using Global Positioning System observations, and subsurface stations were located on the basis of maps constructed from survey measurements made while the mine was in operation. Gravity varies widely at many stations; however, no consistent temporal trends are present across all stations during the 7-year period of data collection.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151043","usgsCitation":"Kennedy, J.R., Koth, K.R., and Carruth, R., 2015, Surface and subsurface microgravity data in the vicinity of Sanford Underground Research Facility, Lead, South Dakota: U.S. Geological Survey Open-File Report 2015-1043, vi, 32 p., https://doi.org/10.3133/ofr20151043.","productDescription":"vi, 32 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062938","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":298757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151043.jpg"},{"id":298755,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1043/"},{"id":298756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1043/downloads/OFR2015-1043.pdf","text":"Report","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"South Dakota","city":"Lead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.90869140625,\n 44.286502899553156\n ],\n [\n -103.90869140625,\n 44.42397290075389\n ],\n [\n -103.63128662109375,\n 44.42397290075389\n ],\n [\n -103.63128662109375,\n 44.286502899553156\n ],\n [\n -103.90869140625,\n 44.286502899553156\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550be51be4b02e76d759cdce","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koth, Karl R. kkoth@usgs.gov","contributorId":4817,"corporation":false,"usgs":true,"family":"Koth","given":"Karl","email":"kkoth@usgs.gov","middleInitial":"R.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carruth, Rob 0000-0001-7008-2927 rlcarr@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-2927","contributorId":1162,"corporation":false,"usgs":true,"family":"Carruth","given":"Rob","email":"rlcarr@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135264,"text":"sir20145230 - 2015 - Barite: a case study of import reliance on an essential material for oil and gas exploration and development drilling","interactions":[],"lastModifiedDate":"2015-03-19T16:19:54","indexId":"sir20145230","displayToPublicDate":"2015-03-19T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5230","title":"Barite: a case study of import reliance on an essential material for oil and gas exploration and development drilling","docAbstract":"Global dependence on a limited number of countries for specific mineral commodities could lead to sudden supply disruptions for the United States, and barite is one such commodity. Analyses of barite supply amounts and sources for the United States are demonstrative of mineral commodities on which the country is import reliant. Mineral commodity trade flows can be analyzed more easily than import reliances for commodities in which U.S. domestic demand is primarily met by materials contained within manufactured products, as with the rare-earth elements in cellular phones and computers. Barite plays an essential role as a weighting material in drilling muds used in oil and gas drilling, primarily to prevent the explosive release of gas and oil during drilling. The Nation’s efforts to become more energy independent are based largely on the domestic oil and gas industry’s ability to explore and develop onshore and offshore fuel deposits. These activities include increased efforts by the United States to locate and recover oil and gas within unconventional deposits, such as those in the Bakken, Eagle Ford, and Marcellus Formations, using advanced drilling technologies.
\nDomestic barite production was about 670,000 metric tons (t) in 2012, equivalent to about 20 percent of the domestic drilling industry’s barite demand. Mine production for the United States in 2012 was about one-third of what was produced in 1980. In 2012, barite imported from China was approximately 2.2 million t and comprised about 77 percent of total barite imports and about 70 percent of the barite used in domestic drilling. Barite from India (14 percent), Morocco (6 percent) and Mexico (2 percent) comprised the bulk of the remaining total import balance; drilling applications consumed nearly all barite imported from these three countries.
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Fungal degradation of low-rank coals has already been investigated for the extraction of soil-conditioning agents and the substrates, which could be subjected to subsequent processing for the generation of alternative fuel options, like methane. However, to achieve an efficient degradation process, the fungal isolates must originate from an appropriate coal environment and the degradation process must be optimized. With this in mind, a representative sample from the Thar coalfield (the largest lignite resource of Pakistan) was treated with a fungal strain, MW1, which was previously isolated from a drilled core coal sample. The treatment caused the liberation of organic fractions from the structural matrix of coal. Fungal degradation was optimized, and it showed significant release of organics, with 0.1% glucose concentration and 1% coal loading ratio after an incubation time of 7 days. 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Previous studies of the empirical relationships of autotrophic activity and freshwater fish yield have found positive relationships but were limited by small sample sizes, small geographic scopes, and the inability to compare patterns among many types of measurement techniques. Individual studies and reviews have also lacked consistent consideration of regional climate factors which may inform relationships between fisheries and autotrophic activity. We compiled data from over 700 freshwater systems worldwide and used meta-analysis and linear models to develop a comprehensive global synthesis between multiple metrics of autotrophic activity, fisheries, and climate indicators. Our results demonstrate that multiple metrics of fish (i.e., catch per unit effort, yield, and production) increase with autotrophic activity across a variety of fisheries. At the global scale additional variation in this positive relationship can be ascribed to regional climate differences (i.e., temperature and precipitation) across systems. Our results provide a method and proof-of-concept for assessing inland fisheries production at the global scale, where current estimates are highly uncertain, and may therefore inform the continued sustainable use of global inland fishery resources.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-015-9384-z","usgsCitation":"Deines, A., Bunnell, D., Rogers, M.W., Beard, T., and Taylor, W., 2015, A review of the global relationship among freshwater fish, autotrophic activity, and regional climate: Reviews in Fish Biology and Fisheries, v. 25, no. 2, p. 323-336, https://doi.org/10.1007/s11160-015-9384-z.","productDescription":"14 p.","startPage":"323","endPage":"336","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055723","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-19","publicationStatus":"PW","scienceBaseUri":"566ff63ae4b09cfe53ca7963","contributors":{"authors":[{"text":"Deines, Andrew M.","contributorId":94601,"corporation":false,"usgs":true,"family":"Deines","given":"Andrew M.","affiliations":[],"preferred":false,"id":581847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":141167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":581848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beard, T. Douglas Jr. dbeard@usgs.gov","contributorId":150495,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":581849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":581850,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70143006,"text":"70143006 - 2015 - Bahamas connection: residence areas selected by breeding female loggerheads tagged in Dry Tortugas National Park, USA","interactions":[],"lastModifiedDate":"2015-03-18T15:08:00","indexId":"70143006","displayToPublicDate":"2015-03-18T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Bahamas connection: residence areas selected by breeding female loggerheads tagged in Dry Tortugas National Park, USA","docAbstract":"Background
\nDelineation of home ranges, residence and foraging areas, and migration corridors is important for understanding the habitat needs for a given species. Recently, many population segments of Northwest Atlantic loggerhead sea turtles (Caretta caretta) were designated as endangered or threatened; the smallest subpopulation is in the Dry Tortugas. Foraging and residence areas for this subpopulation have not been defined outside the Gulf of Mexico. Here, for Dry Tortugas loggerheads that traveled to the Bahamas, we use a combination of switching state-space modeling (SSM) and home-range estimators to determine migration period, spatially delineate and describe residence areas, and examine inter-annual home-range repeatability.
\nResults
\nIn 5,973 tracking days, migration dates for Dry Tortugas loggerheads traveling to the Bahamas occurred during July–September, with turtles tracked twice showing remarkably similar migration paths and timing of departure from nesting sites. Core-use residence areas for 19 loggerheads ranged from 3.7 to 179.5 km2 (mean ± 1 SD = 56.2 ± 49.5 km2). For three turtles, we found inter-annual home-range repeatability, with centroids of core areas only 0.7–2.9 km apart and significant overlap of inter-annual 50% kernel contours.
\nConclusions
\nWe demonstrate a previously unknown link between Dry Tortugas nesting beaches and Bahamas residence areas; 17/39 (43.6%) of nesting loggerheads tagged in and tracked from the Dry Tortugas take up residence at sites in the Bahamas. Residence area estimates for these turtles were similar in size to previous foraging area estimates for two turtles tracked to the Bahamas in other studies. We show inter-annual residence area repeatability, and that residence areas of different individuals generally did not overlap. We suggest that these loggerheads possibly establish territories.
","language":"English","publisher":"BioMed Central","publisherLocation":"London","doi":"10.1186/s40317-014-0019-2","usgsCitation":"Hart, K.M., Sartain-Iverson, A.R., and Fujisaki, I., 2015, Bahamas connection: residence areas selected by breeding female loggerheads tagged in Dry Tortugas National Park, USA: Animal Biotelemetry, v. 3, no. 3, 17 p., https://doi.org/10.1186/s40317-014-0019-2.","productDescription":"17 p.","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056898","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-014-0019-2","text":"Publisher Index Page"},{"id":298729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.80052185058592,\n 24.726251180537773\n ],\n [\n -82.76653289794922,\n 24.701301018708502\n ],\n [\n -82.76653289794922,\n 24.66854634616668\n ],\n [\n -82.80086517333983,\n 24.617369459303212\n ],\n [\n -82.89802551269531,\n 24.56773283789708\n ],\n [\n -82.96531677246094,\n 24.566796108748612\n ],\n [\n -82.96669006347656,\n 24.64920145194691\n ],\n [\n -82.90077209472656,\n 24.717831059976803\n ],\n [\n -82.86712646484375,\n 24.726251180537773\n ],\n [\n -82.80052185058592,\n 24.726251180537773\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550a939ae4b02e76d7590bb3","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":542420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":542421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":542422,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70143292,"text":"70143292 - 2015 - Paleoceanographic, and paleoclimatic constraints on the global Eocene diatom and silicoflagellate record","interactions":[],"lastModifiedDate":"2018-02-08T12:49:31","indexId":"70143292","displayToPublicDate":"2015-03-18T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Paleoceanographic, and paleoclimatic constraints on the global Eocene diatom and silicoflagellate record","docAbstract":"Eocene diatom and silicoflagellate biostratigraphy are summarized and correlated with the most recent geologic time scale as well as with the global oxygen isotope and eustatic sea level curves. The global distribution of Eocene diatom/silicoflagellate-bearing sediments varies considerably, reflecting changing oceanic gateways and paleoceanography with changing patterns that are punctuated by four major depositional events.
\nEvent 1 (~ 49 million years ago, Ma), at the end of the Early Eocene Climatic Optimum (EECO), saw the cessation of diatom/silicoflagellate deposition in epicontinental regions of the North Sea region and in the northern Russia and the onset of biosilica deposition in the Arctic. Event 2 (~ 46 Ma), which coincided with intensification of the Middle Eocene cooling trend, marked the widespread expansion of diatom/silicoflagellate deposition in both the North and South Atlantic. A shift of diatom/silicoflagellate deposition from the Atlantic to the Pacific began at Event 3, at the end of the Middle Eocene Climatic Optimum (MECO) (~ 40 Ma), that was likely tied to the initial opening of the Drake Passage between Antarctica and South America. Event 4 (~ 39 Ma) coincided with a major sea level fall and a widespread deep-sea hiatus in the latest Middle Eocene. Late Eocene diatom/silicoflagellate deposition became more concentrated in middle-to-high latitude regions and coastal upwelling regions, particularly in the Pacific Ocean.
\nTabulation of the first and last occurrences of 132 biostratigraphically-important diatoms suggests increased species turnover during the latest Paleocene to earliest Eocene that may be in part due to a monographic effect. An increasing rate of evolution of new diatom species between ~ 46 and 43 Ma and after ~ 40 Ma coincides respectively with the widespread expansion of diatom deposition in the Atlantic and with an increased pole-to-equator thermal gradient that witnessed the expansion of diatoms in high latitude oceans and coastal upwelling settings.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2015.01.015","usgsCitation":"Barron, J.A., Stickley, C.E., and Bukry, D., 2015, Paleoceanographic, and paleoclimatic constraints on the global Eocene diatom and silicoflagellate record: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 422, p. 85-100, https://doi.org/10.1016/j.palaeo.2015.01.015.","productDescription":"16 p.","startPage":"85","endPage":"100","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057813","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":298728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Earth","volume":"422","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550a939ee4b02e76d7590bbd","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":542651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stickley, Catherine E.","contributorId":40715,"corporation":false,"usgs":true,"family":"Stickley","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":542652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bukry, David 0000-0003-4540-890X dbukry@usgs.gov","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":3550,"corporation":false,"usgs":true,"family":"Bukry","given":"David","email":"dbukry@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":542653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70141362,"text":"ofr20151015 - 2015 - A survey of Bureau of Land Management employees on collaboration and alternative dispute resolution","interactions":[],"lastModifiedDate":"2015-03-18T11:45:55","indexId":"ofr20151015","displayToPublicDate":"2015-03-18T11:45:00","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":"2015-1015","title":"A survey of Bureau of Land Management employees on collaboration and alternative dispute resolution","docAbstract":"The Bureau of Land Management (BLM) has been actively expanding its capacity to work cooperatively with other agencies, Tribes, the public, and other stakeholders using collaborative and alternative dispute resolution (ADR) approaches. In 1997, the BLM created the BLM’s Collaboration and Alternative Dispute Resolution Program (Collaboration/ADR Program) to centralize, strengthen, and coordinate these efforts. Specifically, the Collaboration/ADR Program is charged with developing ADR policies; ensuring that statutory and regulatory requirements are met; and providing training, resources, and direct support for collaboration and ADR in the BLM. At the request of the Collaboration/ADR Program, the Policy Analysis and Science Assistance Branch of the U.S. Geological Survey, located in the Fort Collins Science Center, conducted an online survey of BLM employees in early 2013 to address four overarching questions:
\nThis report describes the findings of this online survey and will assist the BLM’s Collaboration and ADR Oversight Committee in developing the Strategic Plan for the Collaboration/ADR Program. The purpose of the Strategic Plan is to advance collaboration in the BLM and to increase the capacity of the Collaboration/ADR Program to support collaborative efforts on the ground.
\nIn March 2013, a user-specific link to the online survey was sent via email to all current BLM employees (n = 6,734) that could potentially have had experience in collaboration and conflict resolution based on their job series. The links took the respondents to a webpage where the survey was administered. Email reminders were sent at weekly intervals thereafter. When the survey closed in May 2013, the response rate was 45 percent (3,161 employees). Of these, only 14 percent (427 respondents) indicated that they did not have direct experience with collaboration or ADR, and were unlikely to gain experience in the future. Because these respondents were not the target population of this survey, they were branched to the demographic questions at the end of the survey and were not included in any further analyses. The remaining 86 percent (2,734 respondents) indicated that either they did have direct experience with collaboration and (or) ADR, or that they might gain experience with one or both in the future. Below we highlight some of the key findings from their survey responses (refer to the Results section for a comprehensive report of the survey findings).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151015","collaboration":"In cooperation with the Bureau of Land Management","usgsCitation":"Ruell, E.W., Burkardt, N., and Donovan, R.M., 2015, A survey of Bureau of Land Management employees on collaboration and alternative dispute resolution: U.S. Geological Survey Open-File Report 2015-1015, xvii, 146 p., https://doi.org/10.3133/ofr20151015.","productDescription":"xvii, 146 p.","numberOfPages":"163","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059371","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":298718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151015.jpg"},{"id":298716,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1015/"},{"id":298717,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1015/pdf/ofr2015-1015.pdf","text":"Report","size":"18.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550a9399e4b02e76d7590baf","contributors":{"authors":[{"text":"Ruell, Emily W.","contributorId":28465,"corporation":false,"usgs":true,"family":"Ruell","given":"Emily","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":542657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":542658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Ryan M.","contributorId":139309,"corporation":false,"usgs":false,"family":"Donovan","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":12728,"text":"Cherokee Services Group","active":true,"usgs":false}],"preferred":false,"id":542659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142048,"text":"sir20155037 - 2015 - Estimated freshwater withdrawals in Washington, 2010","interactions":[],"lastModifiedDate":"2015-03-18T10:05:48","indexId":"sir20155037","displayToPublicDate":"2015-03-18T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5037","title":"Estimated freshwater withdrawals in Washington, 2010","docAbstract":"Every 5 years since 1950, the U.S. Geological Survey (USGS) has compiled data on the amount of water used in homes, businesses, industries, and farms throughout the State. This water-use data, combined with other related USGS information, has facilitated a unique understanding of the effects of human activity on the State’s water resources. As water availability continues to emerge as an important issue in the 21st century, the need for consistent, long-term water-use data will increase to support wise use of this essential natural resource.
\nThe amount of public- and self-supplied water used for domestic, irrigation, livestock, aquaculture, industrial, mining, and thermoelectric power was estimated for state, county, and eastern and western regions of Washington during calendar year 2010. Withdrawals of freshwater for offstream uses were estimated to be about 4,885 million gallons per day. The total estimated freshwater withdrawals for 2010 was approximately 15 percent less than the 2005 estimate because of decreases in irrigation and thermoelectric power withdrawals.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155037","usgsCitation":"Lane, R.C., and Welch, W.B., 2015, Estimated freshwater withdrawals in Washington, 2010: U.S. Geological Survey Scientific Investigations Report 2015-5037, 48 p., https://dx.doi.org/10.3133/sir20155037.","productDescription":"v, 48 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-061245","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":298679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155037.jpg"},{"id":298678,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5037/"},{"id":298663,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5037/pdf/sir2015-5037.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PDF of report"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.78271484375,\n 45.55252525134013\n ],\n [\n -124.78271484375,\n 48.99463598353408\n ],\n [\n -117.04833984375001,\n 48.99463598353408\n ],\n [\n -117.04833984375001,\n 45.55252525134013\n ],\n [\n -124.78271484375,\n 45.55252525134013\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
Assessing the physical change to shorelines and wetlands is critical in determining the resiliency of wetland systems that protect adjacent habitat and communities. The wetland and back-barrier shorelines of Assateague Island, located in Maryland and Virginia, changed as a result of wave action and storm surge that occurred during Hurricane Sandy in 2012. As part of the U.S. Geological Survey Coastal and Marine Geology Program, the impact of Hurricane Sandy will be assessed and placed in its historical context to understand the future vulnerability of wetland systems. Making these assessments will rely on data extracted from current and historical resources such as maps, aerial photographs, satellite imagery, and lidar elevation data, which document physical changes over time.
\nThis Data Series Report includes several open-ocean shorelines, back-island shorelines, back-island shoreline points, sand area polygons, and sand lines for Assateague Island that were extracted from natural-color orthoimagery (aerial photography) dated from April 12, 1989, to September 5, 2013. The images used were 0.3–2-meter (m)-resolution U.S. Geological Survey Digital Orthophoto Quarter Quads (DOQQ), U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) images, and Virginia Geographic Information Network Virginia Base Map Program (VBMP) images courtesy of the Commonwealth of Virginia. The back-island shorelines were hand-digitized at the intersect of the apparent back-island shoreline and transects spaced at 20-m intervals. The open-ocean shorelines were hand-digitized at the approximate still water level, such as tide level, which was fit through the average position of waves and swash apparent on the beach. Hand-digitizing was done at a scale of approximately 1:2,000. The sand polygons were derived by using an image-processing unsupervised classification technique that separates images into classes. The classes were then visually categorized as either sand or not sand. Also included in this report are 20-m-spaced transect lines and the transect base lines.
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\nThe Offshore of Refugio Beach map lies within the western Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and geodetic studies indicate that the region is presently undergoing north-south shortening. Uplift rates (as much as 0.5 mm/yr) that are based on studies of onland marine terraces provide further evidence of significant shortening.
\nThe coastal zone of this map area lies at the steep flank of the Santa Ynez Mountains. The crest of the range, which lies about 8 km from the shoreline (north of the map area), has a maximum elevation of about 780 m. This area is largely open space, partly used for livestock grazing, with no significant towns or population centers. Highway 101 crosses the map area, adjacent to and within a few hundred meters of the shoreline. The most significant developments are the recreational state beaches at El Capitan Beach and Refugio Beach. The beaches are subject to erosion each winter during storm-wave attack, and then they undergo gradual recovery or accretion during the more gentle wave climate of the late spring, summer, and fall months.
\nThe Offshore of Refugio Beach map area lies in the west-central part of the Santa Barbara littoral cell, which is characterized by west-to-east transport of sediment from Point Arguello on the northwest to Hueneme and Mugu Canyons on the southeast. Longshore drift rates have been reported to range from about 160,000 to 800,000 tons/yr, averaging 400,000 tons/yr. Sediment supply to the western and central part of the littoral cell, including the map area, is mainly from relatively small coastal watersheds. Within the map area, these coastal watersheds include (from east to west) Cañada del Capitan, Tajiquas Creek, Arroyo Hondo, Cañada del Molino, and several unnamed canyons and creeks. The Santa Ynez and Santa Maria Rivers, the mouths of which are 80 to 120 km northwest of the map area, are not considered significant sediment sources because Point Conception and Point Arguello provide obstacles to downcoast sediment transport and also because much of their sediment load is trapped in dams. The Ventura and Santa Clara Rivers, the mouths of which are about 70 km to the southeast of the map area, are not sediment sources for the map area.
\nThe offshore part of the map area consists of relatively flat and shallow continental shelf, which dips gently seaward (about 0.8° to 1.0°) so that water depths at the shelf break, roughly coincident with the California’s State Waters limit, are about 80 to 100 m. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. The shelf is underlain by variable amounts of upper Quaternary marine and fluvial sediments deposited as sea level fluctuated in the late Pleistocene.
\nIn the map area, the shelf break is at depths of about 90 m and lies about 5.6 to 6.4 km offshore. Beyond the shelf break, the slope is steep (as much as about 7°) and unstable. Several submarine landslides, including the large (130 km2) Goleta landslide complex, have been documented offshore of Goleta, a few kilometers east of the map area. This compound slump complex may have been initiated more than 200,000 year ago, but it also includes three recent failures that may have been generated 8,000 to 10,000 years ago. A local, 10-m-high tsunami may have been generated from these failure events.
\nSmall folds related to local faulting are superimposed on the homocline that makes up the south flank of the Santa Ynez Mountains. One of these superimposed anticlines hosts the Molino gas field, which was discovered in 1962 and subsequently developed through directional drilling from onshore wells. The Oligocene Sespe and Vaqueros Formations are the reservoirs in the Molino gas field, and the map area includes numerous seafloor hydrocarbon seeps.
\nSeafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft, unconsolidated sediment interspersed with isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Refugio Beach map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats, which lie primarily within the Shelf (continental shelf) but also partly within the Flank (basin flank or continental slope) megahabitats, primarily are composed of soft sediment interrupted by a few carbonate mounds. This homogeneous seafloor of sediment and low-relief bedrock provides promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3319","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A., Krigsman, L.M., Dieter, B.E., Conrad, J.E., Greene, H.G., Seitz, G.G., Endris, C.A., Sliter, R.W., Wong, F.L., Erdey, M.D., Gutierrez, C.I., Yoklavich, M.M., East, A., and Hart, P.E., 2015, California State Waters Map Series: Offshore of Refugio Beach, California: U.S. Geological Survey Scientific Investigations Map 3319, Pamphlet: iv, 42 p.; 11 Plates: 53.0 x 36.0 inches or smaller; Metadata: Data Catalog, https://doi.org/10.3133/sim3319.","productDescription":"Pamphlet: iv, 42 p.; 11 Plates: 53.0 x 36.0 inches or smaller; Metadata: Data Catalog","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043010","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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