{"pageNumber":"496","pageRowStart":"12375","pageSize":"25","recordCount":46665,"records":[{"id":70106955,"text":"pp18018 - 2014 - The dynamics of Hawaiian-style eruptions: A century of study","interactions":[{"subject":{"id":70106955,"text":"pp18018 - 2014 - The dynamics of Hawaiian-style eruptions: A century of study","indexId":"pp18018","publicationYear":"2014","noYear":false,"chapter":"8","title":"The dynamics of Hawaiian-style eruptions: A century of study"},"predicate":"IS_PART_OF","object":{"id":70128419,"text":"pp1801 - 2014 - Characteristics of Hawaiian volcanoes","indexId":"pp1801","publicationYear":"2014","noYear":false,"title":"Characteristics of Hawaiian volcanoes"},"id":1}],"isPartOf":{"id":70128419,"text":"pp1801 - 2014 - Characteristics of Hawaiian volcanoes","indexId":"pp1801","publicationYear":"2014","noYear":false,"title":"Characteristics of Hawaiian volcanoes"},"lastModifiedDate":"2020-07-01T19:06:09.708523","indexId":"pp18018","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1801","chapter":"8","title":"The dynamics of Hawaiian-style eruptions: A century of study","docAbstract":"<p>This chapter, prepared in celebration of the Hawaiian Volcano Observatoryʼs centennial, provides a historical lens through which to view modern paradigms of Hawaiian-style eruption dynamics. The models presented here draw heavily from observations, monitoring, and experiments conducted on Kīlauea Volcano, which, as the site of frequent and accessible eruptions, has attracted scientists from around the globe. Long-lived eruptions in particular&mdash;Halema&lsquo;uma&lsquo;u 1907&ndash;24, Kīlauea Iki 1959, Mauna Ulu 1969&ndash;74, Pu&lsquo;u &lsquo;Ō&lsquo;ō-Kupaianaha 1983&ndash;present, and Halema&lsquo;uma&lsquo;u 2008&ndash;present&mdash;have offered incomparable opportunities to conceptualize and constrain theoretical models with multidisciplinary data and to field-test model results. The central theme in our retrospective is the interplay of magmatic gas and near-liquidus basaltic melt. A century of study has shown that gas exsolution facilitates basaltic dike propagation; volatile solubility and vesiculation kinetics influence magma-rise rates and fragmentation depths; bubble interactions and gas-melt decoupling modulate magma rheology, eruption intensity, and plume dynamics; and pyroclast outgassing controls characteristics of eruption deposits. Looking to the future, we anticipate research leading to a better understanding of how eruptive activity is influenced by volatiles, including the physics of mixed CO<sub>2</sub>-H<sub>2</sub>O degassing, gas segregation in nonuniform conduits, and vaporization of external H<sub>2</sub>O during magma ascent.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Characteristics of Hawaiian volcanoes","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp18018","usgsCitation":"Mangan, M.T., Cashman, K., and Swanson, D., 2014, The dynamics of Hawaiian-style eruptions: A century of study: U.S. Geological Survey Professional Paper 1801, 32 p., https://doi.org/10.3133/pp18018.","productDescription":"32 p.","startPage":"323","endPage":"354","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045277","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":299356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp18018.PNG"},{"id":299355,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1801/downloads/pp1801_Chap8_Mangan.pdf","text":"Report","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296663,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1801/"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.68603515625,\n              21.657428197370653\n            ],\n            [\n              -160.0927734375,\n              22.19757745335104\n            ],\n            [\n              -159.54345703125,\n              22.350075806124867\n            ],\n            [\n              -157.884521484375,\n              21.85130210558968\n            ],\n            [\n              -155.709228515625,\n              20.86907773201848\n            ],\n            [\n              -154.44580078125,\n              19.580493479202538\n            ],\n            [\n              -154.698486328125,\n              18.3858049312974\n            ],\n            [\n              -155.555419921875,\n              18.145851771694467\n            ],\n            [\n              -156.390380859375,\n              18.895892559415024\n            ],\n            [\n              -156.73095703125,\n              20.066251024326302\n            ],\n            [\n              -158.323974609375,\n              21.135745255030603\n            ],\n            [\n              -159.730224609375,\n              21.70847301324598\n            ],\n            [\n              -160.499267578125,\n              21.361013117950915\n            ],\n            [\n              -160.68603515625,\n              21.657428197370653\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551fb9c3e4b027f0aee3bb31","contributors":{"editors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":543971,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Takahashi, T. 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,{"id":70133624,"text":"pp18017 - 2014 - One hundred volatile years of volcanic gas studies at the Hawaiian Volcano Observatory","interactions":[{"subject":{"id":70133624,"text":"pp18017 - 2014 - One hundred volatile years of volcanic gas studies at the Hawaiian Volcano Observatory","indexId":"pp18017","publicationYear":"2014","noYear":false,"chapter":"7","title":"One hundred volatile years of volcanic gas studies at the Hawaiian Volcano Observatory"},"predicate":"IS_PART_OF","object":{"id":70128419,"text":"pp1801 - 2014 - Characteristics of Hawaiian volcanoes","indexId":"pp1801","publicationYear":"2014","noYear":false,"title":"Characteristics of Hawaiian volcanoes"},"id":1}],"isPartOf":{"id":70128419,"text":"pp1801 - 2014 - Characteristics of Hawaiian volcanoes","indexId":"pp1801","publicationYear":"2014","noYear":false,"title":"Characteristics of Hawaiian volcanoes"},"lastModifiedDate":"2020-07-01T19:05:14.657893","indexId":"pp18017","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1801","chapter":"7","title":"One hundred volatile years of volcanic gas studies at the Hawaiian Volcano Observatory","docAbstract":"<p>The first volcanic gas studies in Hawai&lsquo;i, beginning in 1912, established that volatile emissions from Kīlauea Volcano contained mostly water vapor, in addition to carbon dioxide and sulfur dioxide. This straightforward discovery overturned a popular volatile theory of the day and, in the same action, helped affirm Thomas A. Jaggar, Jr.&rsquo;s, vision of the Hawaiian Volcano Observatory (HVO) as a preeminent place to study volcanic processes. Decades later, the environmental movement produced a watershed of quantitative analytical tools that, after being tested at Kīlauea, became part of the regular monitoring effort at HVO. The resulting volatile emission and fumarole chemistry datasets are some of the most extensive on the planet. These data indicate that magma from the mantle enters the shallow magmatic system of Kīlauea sufficiently oversaturated in CO<sub>2</sub> to produce turbulent flow. Passive degassing at Kīlauea&rsquo;s summit that occurred from 1983 through 2007 yielded CO<sub>2</sub>-depleted, but SO<sub>2</sub>- and H<sub>2</sub>O-rich, rift eruptive gases. Beginning with the 2008 summit eruption, magma reaching the East Rift Zone eruption site became depleted of much of its volatile content at the summit eruptive vent before transport to Pu&lsquo;u &lsquo;Ō&lsquo;ō. The volatile emissions of Hawaiian volcanoes are halogen-poor, relative to those of other basaltic systems. Information gained regarding intrinsic gas solubilities at Kīlauea and Mauna Loa, as well as the pressure-controlled nature of gas release, have provided useful tools for tracking eruptive activity. Regular CO<sub>2</sub>-emission-rate measurements at Kīlauea&rsquo;s summit, together with surface-deformation and other data, detected an increase in deep magma supply more than a year before a corresponding surge in effusive activity. Correspondingly, HVO routinely uses SO<sub>2</sub> emissions to study shallow eruptive processes and effusion rates. HVO gas studies and Kīlauea&rsquo;s long-running East Rift Zone eruption also demonstrate that volatile emissions can be a substantial volcanic hazard in Hawai&lsquo;i. From its humble beginning, trying to determine the chemical composition of volcanic gases over a century ago, HVO has evolved to routinely use real-time gas chemistry to track eruptive processes, as well as hazards.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Characteristics of Hawaiian volcanoes","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp18017","usgsCitation":"Sutton, A., and Elias, T., 2014, One hundred volatile years of volcanic gas studies at the Hawaiian Volcano Observatory: U.S. Geological Survey Professional Paper 1801, 26 p., https://doi.org/10.3133/pp18017.","productDescription":"26 p.","startPage":"295","endPage":"320","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050886","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":299354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp18017.PNG"},{"id":299353,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1801/downloads/pp1801_Chap7_Sutton.pdf","text":"Report","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296662,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1801/"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.68603515625,\n              21.657428197370653\n            ],\n            [\n              -160.0927734375,\n              22.19757745335104\n            ],\n            [\n              -159.54345703125,\n              22.350075806124867\n            ],\n            [\n              -157.884521484375,\n              21.85130210558968\n            ],\n            [\n              -155.709228515625,\n              20.86907773201848\n            ],\n            [\n              -154.44580078125,\n              19.580493479202538\n            ],\n            [\n              -154.698486328125,\n              18.3858049312974\n            ],\n            [\n              -155.555419921875,\n              18.145851771694467\n            ],\n            [\n              -156.390380859375,\n              18.895892559415024\n            ],\n            [\n              -156.73095703125,\n              20.066251024326302\n            ],\n            [\n              -158.323974609375,\n              21.135745255030603\n            ],\n            [\n              -159.730224609375,\n              21.70847301324598\n            ],\n            [\n              -160.499267578125,\n              21.361013117950915\n            ],\n            [\n              -160.68603515625,\n              21.657428197370653\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551fb9c0e4b027f0aee3bb23","contributors":{"editors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":543968,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Takahashi, T. 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,{"id":70192550,"text":"70192550 - 2014 - Factors affecting fat content in mottled ducks on the Upper Texas Gulf Coast","interactions":[],"lastModifiedDate":"2017-10-26T11:26:15","indexId":"70192550","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting fat content in mottled ducks on the Upper Texas Gulf Coast","docAbstract":"<p><span>Body condition, or an individual's ability to address metabolic needs, is an important measure of organism health. For waterfowl, body condition, usually some measure of fat, provides a useful proxy for assessing energy budgets during different life history periods and potentially is a measure of response to ecosystem changes. The mottled duck (Anas fulvigula) is relatively poorly studied in respect to these dynamics and presents a unique case because its non-migratory life-history strategy releases it from metabolic costs experienced by many related migratory waterfowl species. Additionally, as a species in decline and of conservation concern in many parts of its range, traditional methods of fat content estimation that involve destructive sampling are less viable. The goal of this study was to produce an equation for estimating fat content in mottled ducks using birds (n = 24) donated at hunter-check stations or collected by law enforcement efforts on the Texas Chenier Plain National Wildlife Refuge Complex from 2005 - 2007. Morphometric measurements were taken, and ether extraction and fat removal was used to estimate percent body fat content and abdominal fat mass, respectively. A hierarchical simple linear regression modeling approach was used to determine external morphometrics that best predicted abdominal fat content. A ratio model based on body mass and a length metric (keel and wing chord length possessed equal model support) provided the best relationship with abdominal fat in sampled individuals. We then applied the regression equation to historical check station data to examine fluctuations in fat content over time; fat content or condition varied relatively little with the exception of years characterized by major disturbances. The mottled duck condition model created here can be used to better monitor population status and health without destructively sampling individuals.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Kearns, B., Haukos, D.A., Walther, P., and Conway, W.C., 2014, Factors affecting fat content in mottled ducks on the Upper Texas Gulf Coast: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 2015, p. 274-280.","productDescription":"7 p.","startPage":"274","endPage":"280","ipdsId":"IP-057821","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2015","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ece2e4b09af898c8cd2e","contributors":{"authors":[{"text":"Kearns, Brian","contributorId":198470,"corporation":false,"usgs":false,"family":"Kearns","given":"Brian","email":"","affiliations":[],"preferred":false,"id":716174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walther, Patrick","contributorId":42153,"corporation":false,"usgs":true,"family":"Walther","given":"Patrick","affiliations":[],"preferred":false,"id":716175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":716176,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193843,"text":"70193843 - 2014 - Best practices for continuous monitoring of temperature and flow in wadeable streams","interactions":[],"lastModifiedDate":"2017-12-21T10:25:40","indexId":"70193843","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA/600/R-13/170F","title":"Best practices for continuous monitoring of temperature and flow in wadeable streams","docAbstract":"<p>The United States Environmental Protection Agency (U.S. EPA) is working with its regional offices, states, tribes, river basin commissions and other entities to establish Regional Monitoring Networks (RMNs) for freshwater wadeable streams. To the extent possible, uninterrupted, biological, temperature and hydrologic data will be collected on an ongoing basis at RMN sites, which are primarily located on smaller, minimally disturbed forested streams. The primary purpose of this document is to provide guidance on how to collect accurate, year-round temperature and hydrologic data at ungaged wadeable stream sites. It addresses questions related to equipment needs, sensor configuration, sensor placement, installation techniques, data retrieval, and data processing. This guidance is intended to increase comparability of continuous temperature and hydrologic data collection at RMN sites and to ensure that the data are of sufficient quality to be used in future analyses. It also addresses challenges posed by year-round deployments. These data will be used for detecting temporal trends; providing information that will allow for a better understanding of relationships between biological, thermal, and hydrologic data; predicting and analyzing climate change impacts and quantifying natural variability.</p>","language":"English","publisher":"U.S. Environmental Protection Agency","usgsCitation":"Stamp, J., Hamilton, A.I., Craddock, M., Parker, L., Roy, A.H., Isaak, D.J., Holden, Z., Passmore, M., and Bierwagen, B., 2014, Best practices for continuous monitoring of temperature and flow in wadeable streams, Report: xiv, 70; Appendixes A-K.","productDescription":"Report: xiv, 70; Appendixes A-K","ipdsId":"IP-056036","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350115,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=280013"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610030e4b06e28e9c2539d","contributors":{"authors":[{"text":"Stamp, Jen","contributorId":201414,"corporation":false,"usgs":false,"family":"Stamp","given":"Jen","email":"","affiliations":[{"id":16286,"text":"Tetra Tech","active":true,"usgs":false}],"preferred":false,"id":725230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, Anna I.","contributorId":201415,"corporation":false,"usgs":true,"family":"Hamilton","given":"Anna","email":"","middleInitial":"I.","affiliations":[{"id":16286,"text":"Tetra Tech","active":true,"usgs":false},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":725231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craddock, Michelle","contributorId":201416,"corporation":false,"usgs":false,"family":"Craddock","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":725232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parker, Laila","contributorId":201417,"corporation":false,"usgs":false,"family":"Parker","given":"Laila","email":"","affiliations":[],"preferred":false,"id":725233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isaak, Daniel J.","contributorId":57202,"corporation":false,"usgs":true,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holden, Zachary","contributorId":201418,"corporation":false,"usgs":false,"family":"Holden","given":"Zachary","affiliations":[{"id":35842,"text":"U.S. Forest Service Northern Region, Missoula","active":true,"usgs":false}],"preferred":false,"id":725235,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Passmore, Margaret","contributorId":201419,"corporation":false,"usgs":false,"family":"Passmore","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":725236,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bierwagen, Britta","contributorId":201420,"corporation":false,"usgs":false,"family":"Bierwagen","given":"Britta","email":"","affiliations":[],"preferred":false,"id":725237,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192384,"text":"70192384 - 2014 - US Topo Maps 2014: Program updates and research","interactions":[],"lastModifiedDate":"2018-02-27T11:14:59","indexId":"70192384","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"US Topo Maps 2014: Program updates and research","docAbstract":"<p>The U. S. Geological Survey (USGS) US Topo map program is now in year two of its second three-year update cycle. Since the program was launched in 2009, the product and the production system tools and processes have undergone enhancements that have made the US Topo maps a popular success story. Research and development continues with structural and content product enhancements, streamlined and more fully automated workflows, and the evaluation of a GIS-friendly US Topo GIS Packet. In addition, change detection methodologies are under evaluation to further streamline product maintenance and minimize resource expenditures for production in the future. The US Topo map program will continue to evolve in the years to come, providing traditional map users and Geographic Information System (GIS) analysts alike with a convenient, freely available product incorporating nationally consistent data that are quality assured to high standards.</p>","conferenceTitle":"Digital Mapping Techniques 2014","conferenceDate":"June 1-4, 2014","conferenceLocation":"Newark, DE","language":"English","publisher":"Digital Mapping Techniques Conference Proceedings","usgsCitation":"Fishburn, K.A., 2014, US Topo Maps 2014: Program updates and research, Digital Mapping Techniques 2014, Newark, DE, June 1-4, 2014, 13 p.","productDescription":"13 p.","ipdsId":"IP-059679","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":352067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352066,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://ngmdb.usgs.gov/Info/dmt/docs/DMT14_Fishburn2.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeed62e4b0da30c1bfc702","contributors":{"authors":[{"text":"Fishburn, Kristin A. 0000-0002-7825-556X kafishburn@usgs.gov","orcid":"https://orcid.org/0000-0002-7825-556X","contributorId":4654,"corporation":false,"usgs":true,"family":"Fishburn","given":"Kristin","email":"kafishburn@usgs.gov","middleInitial":"A.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":715614,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70111959,"text":"70111959 - 2014 - The effects of harvest on waterfowl populations","interactions":[],"lastModifiedDate":"2016-07-11T11:44:22","indexId":"70111959","displayToPublicDate":"2014-12-31T23:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"The effects of harvest on waterfowl populations","docAbstract":"<p>Change in the size of populations over space and time is, arguably, the motivation for&nbsp;much of pure and applied ecological research. The fundamental model for the&nbsp;dynamics of any population is straightforward: the net change in the abundance is the&nbsp;simple difference between the number of individuals entering the population and the&nbsp;number leaving the population, either or both of which may change in response to&nbsp;factors intrinsic and extrinsic to the population. While harvest of individuals from a&nbsp;population constitutes a clear extrinsic source of removal of individuals, the response&nbsp;of populations to harvest is frequently complex, reflecting an interaction of harvest&nbsp;with one or more population processes. Here we consider the role of these interactions,&nbsp;and factors influencing them, on the effective harvest management of waterfowl&nbsp;populations. We review historical ideas concerning harvest and discuss the&nbsp;relationship(s) between waterfowl life histories and the development and application of&nbsp;population models to inform harvest management. The influence of population&nbsp;structure (age, spatial) on derivation of optimal harvest strategies (with and without&nbsp;explicit consideration of various sources of uncertainty) is considered. In addition to&nbsp;population structure, we discuss how the optimal harvest strategy may be influenced by:&nbsp;1) patterns of density-dependence in one or more vital rates, and 2) heterogeneity in&nbsp;vital rates among individuals within an age-sex-size class. Although derivation of the&nbsp;optimal harvest strategy for simple population models (with or without structure) is&nbsp;generally straightforward, there are several potential difficulties in application. In&nbsp;particular, uncertainty concerning the population structure at the time of harvest, and&nbsp;the ability to regulate the structure of the harvest itself, are significant complications.&nbsp;We therefore review the evidence of effects of harvest on waterfowl populations. Some of this evidence has focussed on correspondence of data with more phenomenological&nbsp;models and other evidence relates to specific mechanisms, including densitydependence&nbsp;and heterogeneity. An important part of this evidence is found in the&nbsp;evolution of model weights under various adaptive harvest management programmes&nbsp;of the U.S. Fish and Wildlife Service for North American waterfowl.</p>\n<p>Overall, there is substantial uncertainty about system dynamics, about the impacts&nbsp;of potential management and conservation decisions on those dynamics, and how to&nbsp;optimise management decisions in the presence of such uncertainties. Such&nbsp;relationships are unlikely to be stationary over space or time, and selective harvest of&nbsp;some individuals can potentially alter life history allocation of resources over time &ndash;&nbsp;both of which will potentially influence optimal harvest strategies. These sources of&nbsp;variation and uncertainty argue for the use of adaptive approaches to waterfowl&nbsp;harvest management.</p>","language":"English","publisher":"Wildfowl and Wetland Trust","usgsCitation":"Cooch, E.G., Guillemain, M., Boomer, G., Lebreton, J., and Nichols, J., 2014, The effects of harvest on waterfowl populations: Wildfowl, v. Special Issue 4, p. 220-276.","productDescription":"57 p.","startPage":"220","endPage":"276","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055408","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":325007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325006,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2608"}],"volume":"Special Issue 4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5784c345e4b0e02680be59ee","contributors":{"authors":[{"text":"Cooch, Evan G.","contributorId":100673,"corporation":false,"usgs":true,"family":"Cooch","given":"Evan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":642098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guillemain, Matthieu","contributorId":141131,"corporation":false,"usgs":false,"family":"Guillemain","given":"Matthieu","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":642099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boomer, G Scott","contributorId":172150,"corporation":false,"usgs":false,"family":"Boomer","given":"G Scott","affiliations":[{"id":26994,"text":"Div. of Migratory Bird Management, U.S. Fish and Wildlife Service, MD","active":true,"usgs":false}],"preferred":false,"id":642100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lebreton, Jean-Dominique","contributorId":172792,"corporation":false,"usgs":false,"family":"Lebreton","given":"Jean-Dominique","email":"","affiliations":[],"preferred":false,"id":642101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":518931,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215787,"text":"70215787 - 2014 - Assessing the importance of terrain parameters on glide avalanche release","interactions":[],"lastModifiedDate":"2020-11-02T13:04:03.137086","indexId":"70215787","displayToPublicDate":"2014-12-31T15:02:21","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessing the importance of terrain parameters on glide avalanche release","docAbstract":"<p>Glide snow avalanches are dangerous and difficult to predict. Despite recent research there is still a lack of understanding regarding the controls of glide avalanche release. Glide avalanches often occur in similar terrain or the same locations annually and observations suggest that topography may be critical. Thus, to gain an understanding of the terrain component of these types of avalanches we examined terrain parameters associated with glide avalanche release as well as areas of consistent glide crack formation but no subsequent avalanches. Glide avalanche occurrences visible from the Going-to-the-Sun Road corridor in Glacier National Park, Montana from 2003-2013 were investigated using an avalanche database derived of daily observations each year from April 1 to June 15. This yielded 192 glide avalanches in 53 distinct avalanche paths. Each avalanche occurrence was digitized in a GIS using satellite, oblique, and aerial imagery as reference. Topographical parameters such as area, slope, aspect, elevation and elevation were then derived for the entire dataset utilizing GIS tools and a 10m DEM. Land surface substrate and surface geology were derived from National Park Service Inventory and Monitoring maps and U.S. Geological Survey surface geology maps, respectively. Surface roughness and glide factor were calculated using a four level classification index. . Then, each avalanche occurrence was aggregated to general avalanche release zones and the frequencies were compared. For this study, glide avalanches released in elevations ranging from 1300 to 2700 m with a mean aspect of 98 degrees (east) and a mean slope angle of 38 degrees. The mean profile curvature for all glide avalanches was 0.15 and a plan curvature of -0.01, suggesting a fairly linear surface (i.e. neither convex nor concave). The glide avalanches occurred in mostly bedrock made up of dolomite and limestone slabs and talus deposits with very few occurring in alpine meadows. However, not all glide avalanches failed as cohesive slabs on this bedrock surface. Consequently, surface roughness proved to be a useful descriptive variable to discriminate between slopes that avalanched and those that did not. Annual 'repeat offender' glide avalanche paths were characterized by smooth outcropping rock plates with stratification planes parallel to the slope. Combined with aspect these repeat offenders were also members of the highest glide category. Using this understanding of the role of topographic parameters on glide avalanche activity, a spatial terrain based model was developed to identify other areas with high glide avalanche potential outside of our immediate observation area.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Snow Science Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop","conferenceDate":"September 28-October 3, 2014","conferenceLocation":"Banff, Alberta, Canada","language":"English","publisher":"International Snow Science Workshop Canada Inc.","usgsCitation":"Peitzsch, E.H., Hendrikx, J., and Fagre, D.B., 2014, Assessing the importance of terrain parameters on glide avalanche release, <i>in</i> Proceedings of the International Snow Science Workshop, Banff, Alberta, Canada, September 28-October 3, 2014, 8 p.","productDescription":"8 p.","ipdsId":"IP-053178","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":379966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.345703125,\n              48.23016176791893\n            ],\n            [\n              -113.15093994140625,\n              48.23016176791893\n            ],\n            [\n              -113.15093994140625,\n              48.980216985374994\n            ],\n            [\n              -114.345703125,\n              48.980216985374994\n            ],\n            [\n              -114.345703125,\n              48.23016176791893\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peitzsch, Erich H. 0000-0001-7624-0455 epeitzsch@usgs.gov","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":3786,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","email":"epeitzsch@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":803469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendrikx, Jordy 0000-0001-6194-3596","orcid":"https://orcid.org/0000-0001-6194-3596","contributorId":140954,"corporation":false,"usgs":false,"family":"Hendrikx","given":"Jordy","email":"","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":803470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":803471,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70137863,"text":"70137863 - 2014 - Sharp increase in central Oklahoma seismicity 2009-2014 induced by massive wastewater injection","interactions":[],"lastModifiedDate":"2017-02-13T14:55:16","indexId":"70137863","displayToPublicDate":"2014-12-31T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Sharp increase in central Oklahoma seismicity 2009-2014 induced by massive wastewater injection","docAbstract":"<p>Unconventional oil and gas production provides a rapidly growing energy source; however high-producing states in the United States, such as Oklahoma, face sharply rising numbers of earthquakes. Subsurface pressure data required to unequivocally link earthquakes to injection are rarely accessible. Here we use seismicity and hydrogeological models to show that distant fluid migration from high-rate disposal wells in Oklahoma is likely responsible for the largest swarm. Earthquake hypocenters occur within disposal formations and upper-basement, between 2-5 km depth. The modeled fluid pressure perturbation propagates throughout the same depth range and tracks earthquakes to distances of 35 km, with a triggering threshold of ~0.07 MPa. Although thousands of disposal wells may operate aseismically, four of the highest-rate wells likely induced 20% of 2008-2013 central US seismicity.</p>","language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York, NY","doi":"10.1126/science.1255802","usgsCitation":"Keranen, K.M., Abers, G.A., Weingarten, M., Bekins, B.A., and Ge, S., 2014, Sharp increase in central Oklahoma seismicity 2009-2014 induced by massive wastewater injection: Science, v. 345, no. 6195, p. 448-451, https://doi.org/10.1126/science.1255802.","productDescription":"4 p.","startPage":"448","endPage":"451","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057212","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":297215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.49218749999999,\n              34.470335121217495\n            ],\n            [\n              -99.49218749999999,\n              36.58024660149866\n            ],\n            [\n              -94.8779296875,\n              36.58024660149866\n            ],\n            [\n              -94.8779296875,\n              34.470335121217495\n            ],\n            [\n              -99.49218749999999,\n              34.470335121217495\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"345","issue":"6195","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab2e4b08de9379b3186","contributors":{"authors":[{"text":"Keranen, Kathleen M.","contributorId":138655,"corporation":false,"usgs":false,"family":"Keranen","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[{"id":12480,"text":"Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York","active":true,"usgs":false}],"preferred":false,"id":538216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abers, Geoffrey A.","contributorId":90195,"corporation":false,"usgs":true,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":538218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weingarten, Matthew","contributorId":138656,"corporation":false,"usgs":false,"family":"Weingarten","given":"Matthew","email":"","affiliations":[{"id":12481,"text":"Department of Geological Sciences, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":538217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":538215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ge, Shemin","contributorId":37366,"corporation":false,"usgs":true,"family":"Ge","given":"Shemin","affiliations":[],"preferred":false,"id":538219,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70127908,"text":"70127908 - 2014 - Introduction: Hazard mapping","interactions":[],"lastModifiedDate":"2017-06-14T15:16:45","indexId":"70127908","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Introduction: Hazard mapping","docAbstract":"Twenty papers were accepted into the session on landslide hazard mapping for oral presentation. The papers presented susceptibility and hazard analysis based on approaches ranging from field-based assessments to statistically based models to assessments that combined hydromechanical and probabilistic components. Many of the studies have taken advantage of increasing availability of remotely sensed data and nearly all relied on Geographic Information Systems to organize and analyze spatial data. The studies used a range of methods for assessing performance and validating hazard and susceptibility models. A few of the studies presented in this session also included some element of landslide risk assessment. This collection of papers clearly demonstrates that a wide range of approaches can lead to useful assessments of landslide susceptibility and hazard.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide science for a safer geoenvironment","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-05050-8_61","usgsCitation":"Baum, R.L., Miyagi, T., Lee, S., and Trofymchuk, O.M., 2014, Introduction: Hazard mapping, chap. <i>of</i> Landslide science for a safer geoenvironment, p. 395-396, https://doi.org/10.1007/978-3-319-05050-8_61.","productDescription":"2 p.","startPage":"395","endPage":"396","ipdsId":"IP-055398","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2014-04-29","publicationStatus":"PW","scienceBaseUri":"59424b3be4b0764e6c65dc53","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miyagi, Toyohiko","contributorId":120758,"corporation":false,"usgs":true,"family":"Miyagi","given":"Toyohiko","email":"","affiliations":[],"preferred":false,"id":519672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Saro","contributorId":115426,"corporation":false,"usgs":true,"family":"Lee","given":"Saro","affiliations":[],"preferred":false,"id":519670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trofymchuk, Oleksandr M","contributorId":118681,"corporation":false,"usgs":true,"family":"Trofymchuk","given":"Oleksandr","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":519671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129056,"text":"70129056 - 2014 - Optimally managing water resources in large river basins for an uncertain future","interactions":[],"lastModifiedDate":"2017-06-14T08:25:43","indexId":"70129056","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Optimally managing water resources in large river basins for an uncertain future","docAbstract":"Managers of large river basins face conflicting needs for water resources such as wildlife habitat, water supply, wastewater assimilative capacity, flood control, hydroelectricity, and recreation. The Savannah River Basin for example, has experienced three major droughts since 2000 that resulted in record low water levels in its reservoirs, impacting local economies for years. The Savannah River Basin’s coastal area contains municipal water intakes and the ecologically sensitive freshwater tidal marshes of the Savannah National Wildlife Refuge. The Port of Savannah is the fourth busiest in the United States, and modifications to the harbor have caused saltwater to migrate upstream, reducing the freshwater marsh’s acreage more than 50 percent since the 1970s. There is a planned deepening of the harbor that includes flow-alteration features to minimize further migration of salinity. The effectiveness of the flow-alteration features will only be known after they are constructed.\r\n   One of the challenges of basin management is the optimization of water use through ongoing development, droughts, and climate change. This paper describes a model of the Savannah River Basin designed to continuously optimize regulated flow to meet prioritized objectives set by resource managers and stakeholders. The model was developed from historical data by using machine learning, making it more accurate and adaptable to changing conditions than traditional models. The model is coupled to an optimization routine that computes the daily flow needed to most efficiently meet the water-resource management objectives. The model and optimization routine are packaged in a decision support system that makes it easy for managers and stakeholders to use. Simulation results show that flow can be regulated to significantly reduce salinity intrusions in the Savannah National Wildlife Refuge while conserving more water in the reservoirs. A method for using the model to assess the effectiveness of the flow-alteration features after the deepening also is demonstrated\r\n","conferenceTitle":"2014 South Carolina Water Resources Conference","conferenceDate":"October 15-16, 2014","conferenceLocation":"Columbia, SC","publisher":"Proceedings of the 2014 South Carolina Water Resources Conference","usgsCitation":"Edwin A. Roehl, J., and Conrads, P., 2014, Optimally managing water resources in large river basins for an uncertain future, 6 p.","productDescription":"6 p.","ipdsId":"IP-059707","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":342456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295418,"type":{"id":15,"text":"Index Page"},"url":"https://tigerprints.clemson.edu/scwrc/"}],"country":"United States","state":"South Carolina","otherGeospatial":"Savannah River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.1669921875,\n              31.781882156411022\n            ],\n            [\n              -80.804443359375,\n              31.781882156411022\n            ],\n            [\n              -80.804443359375,\n              32.24300560401558\n            ],\n            [\n              -81.1669921875,\n              32.24300560401558\n            ],\n            [\n              -81.1669921875,\n              31.781882156411022\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3be4b0764e6c65dc4f","contributors":{"authors":[{"text":"Edwin A. Roehl, Jr.","contributorId":121477,"corporation":false,"usgs":true,"family":"Edwin A. Roehl","given":"Jr.","affiliations":[],"preferred":false,"id":519792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519791,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137287,"text":"70137287 - 2014 - A review of pipe and bamboo artificial refugia as sampling tools in anuran studies","interactions":[],"lastModifiedDate":"2015-01-26T09:26:14","indexId":"70137287","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"A review of pipe and bamboo artificial refugia as sampling tools in anuran studies","docAbstract":"<p>Artificial pipe-like refugia have been used for more than 40 years in anuran studies, and have captured 28 species, primarily (82%) hylid treefrogs. Early pipe-like refugia were made using cut pieces of bamboo in the tropical forests of Puerto Rico, but most recent studies have used synthetic pipes and have occurred primarily in the southeastern United States. Characteristics of artificial refugia (e.g., color, length, and diameter), and their placement in the environment have varied greatly among studies, making comparisons difficult. Here, we summarize and evaluate different pipe designs and placement, address potential concerns when using artificial pipe-like refugia, and suggest studies necessary to better interpret the data gained from this technique in anuran studies.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Glorioso, B.M., and Waddle, J., 2014, A review of pipe and bamboo artificial refugia as sampling tools in anuran studies: Herpetological Conservation and Biology, v. 9, no. 3, p. 609-625.","productDescription":"17 p.","startPage":"609","endPage":"625","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050722","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":297504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297022,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol9_issue3.html"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a4ee4b08de9379b2fcf","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":537669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138516,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":537670,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70145506,"text":"70145506 - 2014 - Reanalysis of historical U.S. Geological Survey sediment samples for geochemical data from the western part of the Wrangellia terrane, Anchorage, Gulkana, Healy, Mt. Hayes, Nabesna, and Talkeetna Mountains quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-12T10:35:45","indexId":"70145506","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Reanalysis of historical U.S. Geological Survey sediment samples for geochemical data from the western part of the Wrangellia terrane, Anchorage, Gulkana, Healy, Mt. Hayes, Nabesna, and Talkeetna Mountains quadrangles, Alaska","docAbstract":"<p>The State of Alaska’s <i>Strategic and Critical Minerals (SCM) Assessment</i> project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The <i>SCM Assessment</i> is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. For the geochemical part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential. </p><p>The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded <i>Alaska Critical Minerals</i> cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska. </p><p>For this report, DGGS funded reanalysis of 1,682 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from an area covering the western half of the Wrangellia Terrane in the Anchorage, Gulkana, Healy, Mt. Hayes, Nabesna, and Talkeetna Mountains quadrangles of south-central Alaska (fig. 1). USGS was responsible for sample retrieval from the Denver warehouse through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies. </p>","language":"English","publisher":"State of Alaska Department of Natural Resources Division of Geological & Geophysical Surveys","publisherLocation":"Fairbanks, AK","doi":"10.14509/27287","usgsCitation":"Werdon, M., Azain, J.S., and Granitto, M., 2014, Reanalysis of historical U.S. Geological Survey sediment samples for geochemical data from the western part of the Wrangellia terrane, Anchorage, Gulkana, Healy, Mt. Hayes, Nabesna, and Talkeetna Mountains quadrangles, Alaska, Report: 7 p.; 2 data tables; Metadata, https://doi.org/10.14509/27287.","productDescription":"Report: 7 p.; 2 data tables; Metadata","ipdsId":"IP-057006","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472561,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/27287","text":"Publisher Index Page"},{"id":342370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -148.3978271484375,\n              62.87017895189572\n            ],\n            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jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":544235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":544233,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188498,"text":"70188498 - 2014 - Volcanoes of the passive margin: The youngest magmatic event in eastern North America","interactions":[],"lastModifiedDate":"2018-01-31T10:07:39","indexId":"70188498","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanoes of the passive margin: The youngest magmatic event in eastern North America","docAbstract":"<p><span>The rifted eastern North American margin (ENAM) provides important clues to the long-term evolution of continental margins. An Eocene volcanic swarm exposed in the Appalachian Valley and Ridge Province of Virginia and West Virginia (USA) contains the youngest known igneous rocks in the ENAM. These magmas provide the only window into the most recent deep processes contributing to the postrift evolution of this margin. Here we present new </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages, geochemical data, and radiogenic isotopes that constrain the melting conditions and the timing of emplacement. Modeling of the melting conditions on primitive basalts yielded an average temperature and pressure of 1412 ± 25 °C and 2.32 ± 0.31 GPa, corresponding to a mantle potential temperature of ∼1410 °C, suggesting melting conditions slightly higher than average mantle temperatures beneath mid-ocean ridges. When compared with magmas from Atlantic hotspots, the Eocene ENAM samples share isotopic signatures with the Azores and Cape Verde. This similarity suggests the possibility of a large-scale dissemination of similar sources in the upper mantle left over from the opening of the Atlantic Ocean. Asthenosphere upwelling related to localized lithospheric delamination is a possible process that can explain the intraplate signature of these magmas that lack evidence of a thermal anomaly. This process can also explain the Cenozoic dynamic topography and evidence of rejuvenation of the central Appalachians.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G35407.1","usgsCitation":"Mazza, S., Gazel, E., Johnson, E., Kunk, M.J., McAleer, R., Spotila, J.A., Bizimis, M., and Coleman, D.S., 2014, Volcanoes of the passive margin: The youngest magmatic event in eastern North America: Geology, v. 42, no. 6, p. 483-486, https://doi.org/10.1130/G35407.1.","productDescription":"4 p.","startPage":"483","endPage":"486","ipdsId":"IP-053403","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"42","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3ae4b0764e6c65dc44","contributors":{"authors":[{"text":"Mazza, Sarah E","contributorId":192875,"corporation":false,"usgs":false,"family":"Mazza","given":"Sarah E","affiliations":[],"preferred":false,"id":698020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazel, Esteban","contributorId":192876,"corporation":false,"usgs":false,"family":"Gazel","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":698021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Elizabeth A","contributorId":192877,"corporation":false,"usgs":false,"family":"Johnson","given":"Elizabeth A","affiliations":[],"preferred":false,"id":698022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":698023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spotila, James A","contributorId":192878,"corporation":false,"usgs":false,"family":"Spotila","given":"James","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":698024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bizimis, Michael","contributorId":192879,"corporation":false,"usgs":false,"family":"Bizimis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":698025,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coleman, Drew S","contributorId":192880,"corporation":false,"usgs":false,"family":"Coleman","given":"Drew","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":698026,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193836,"text":"70193836 - 2014 - Importance of understanding landscape biases in USGS gage locations: Implications and solutions for managers","interactions":[],"lastModifiedDate":"2018-02-28T14:39:24","indexId":"70193836","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Importance of understanding landscape biases in USGS gage locations: Implications and solutions for managers","docAbstract":"<p><span>Flow and water temperature are fundamental properties of stream ecosystems upon which many freshwater resource management decisions are based. U.S. Geological Survey (USGS) gages are the most important source of streamflow and water temperature data available nationwide, but the degree to which gages represent landscape attributes of the larger population of streams has not been thoroughly evaluated. We identified substantial biases for seven landscape attributes in one or more regions across the conterminous United States. Streams with small watersheds (&lt;10 km</span><sup>2</sup><span>) and at high elevations were often underrepresented, and biases were greater for water temperature gages and in arid regions. Biases can fundamentally alter management decisions and at a minimum this potential for error must be acknowledged accurately and transparently. We highlight three strategies that seek to reduce bias or limit errors arising from bias and illustrate how one strategy, supplementing USGS data, can greatly reduce bias.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2014.891503","usgsCitation":"Wagner, T., DeWeber, J.T., Tsang, Y., Krueger, D., Whittier, J.B., Infante, D.M., and Whelan, G., 2014, Importance of understanding landscape biases in USGS gage locations: Implications and solutions for managers: Fisheries, v. 39, no. 4, p. 155-163, https://doi.org/10.1080/03632415.2014.891503.","productDescription":"9 p.","startPage":"155","endPage":"163","ipdsId":"IP-041195","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"39","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-24","publicationStatus":"PW","scienceBaseUri":"5a0425c5e4b0dc0b45b45415","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWeber, Jefferson Tyrell","contributorId":172108,"corporation":false,"usgs":false,"family":"DeWeber","given":"Jefferson","email":"","middleInitial":"Tyrell","affiliations":[],"preferred":false,"id":721020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tsang, Yin-Phan","contributorId":177342,"corporation":false,"usgs":false,"family":"Tsang","given":"Yin-Phan","email":"","affiliations":[],"preferred":false,"id":721021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueger, Damon","contributorId":174440,"corporation":false,"usgs":false,"family":"Krueger","given":"Damon","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Infante, Dana M. 0000-0003-1385-1587","orcid":"https://orcid.org/0000-0003-1385-1587","contributorId":150821,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":18112,"text":"Dept. of Fisheries and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":721024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whelan, Gary","contributorId":146115,"corporation":false,"usgs":false,"family":"Whelan","given":"Gary","email":"","affiliations":[{"id":16584,"text":"Fisheries Division, Michigan Department of Natural Resources, P.O. Box 30446, Lansing, MI 48909","active":true,"usgs":false}],"preferred":false,"id":721025,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193569,"text":"70193569 - 2014 - Chemical mixtures in potable water in the U.S.","interactions":[],"lastModifiedDate":"2017-11-30T10:23:35","indexId":"70193569","displayToPublicDate":"2014-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chemical mixtures in potable water in the U.S.","docAbstract":"In recent years, regulators have devoted increasing attention to health risks from exposure to multiple chemicals. In 1996, the US Congress directed the US Environmental Protection Agency (EPA) to study mixtures of chemicals in drinking water, with a particular focus on potential interactions affecting chemicals' joint toxicity. The task is complicated by the number of possible mixtures in drinking water and lack of toxicological data for combinations of chemicals. As one step toward risk assessment and regulation of mixtures, the EPA and the Agency for Toxic Substances and Disease Registry (ATSDR) have proposed to estimate mixtures' toxicity based on the interactions of individual component chemicals. This approach permits the use of existing toxicological data on individual chemicals, but still requires additional information on interactions between chemicals and environmental data on the public's exposure to combinations of chemicals.\n\nLarge compilations of water-quality data have recently become available from federal and state agencies. This chapter demonstrates the use of these environmental data, in combination with the available toxicological data, to explore scenarios for mixture toxicity and develop priorities for future research and regulation. Occurrence data on binary and ternary mixtures of arsenic, cadmium, and manganese are used to parameterize the EPA and ATSDR models for each drinking water source in the dataset. The models' outputs are then mapped at county scale to illustrate the implications of the proposed models for risk assessment and rulemaking. For example, according to the EPA's interaction model, the levels of arsenic and cadmium found in US groundwater are unlikely to have synergistic cardiovascular effects in most areas of the country, but the same mixture's potential for synergistic neurological effects merits further study. Similar analysis could, in future, be used to explore the implications of alternative risk models for the toxicity and interaction of complex mixtures, and to identify the communities with the highest and lowest expected value for regulation of chemical mixtures.","largerWorkTitle":"Comprehensive water quality and purification","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00019-0","usgsCitation":"Ryker, S.J., 2014, Chemical mixtures in potable water in the U.S., chap. <i>of</i> Comprehensive water quality and purification, v. 1, p. 267-277, https://doi.org/10.1016/B978-0-12-382182-9.00019-0.","productDescription":"11 p.","startPage":"267","endPage":"277","ipdsId":"IP-042940","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":349561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61003fe4b06e28e9c253b2","contributors":{"authors":[{"text":"Ryker, Sarah J. 0000-0002-1004-5611 sryker@usgs.gov","orcid":"https://orcid.org/0000-0002-1004-5611","contributorId":4100,"corporation":false,"usgs":true,"family":"Ryker","given":"Sarah","email":"sryker@usgs.gov","middleInitial":"J.","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":719389,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70136361,"text":"ofr20141262 - 2014 - National Oceanic and Atmospheric Administration hydrographic survey data used in a U.S. Geological Survey regional geologic framework study along the Delmarva Peninsula","interactions":[],"lastModifiedDate":"2014-12-30T15:13:08","indexId":"ofr20141262","displayToPublicDate":"2014-12-30T16:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1262","title":"National Oceanic and Atmospheric Administration hydrographic survey data used in a U.S. Geological Survey regional geologic framework study along the Delmarva Peninsula","docAbstract":"<p>The U.S. Geological Survey initiated a research effort in 2014 to define the geologic framework of the Delmarva Peninsula inner continental shelf, which included new data collection and assembly of relevant extant datasets. Between 2006 and 2011, Science Applications International Corporation, under contract to the National Oceanic and Atmospheric Administration National Ocean Service, carried out 23 hydrographic surveys covering more than 4,100 square kilometers of the continental shelf using Reson multibeam echosounders and Klein towed sidescan sonars to update nautical charts along the Delmarva Peninsula. Acoustic backscatter data from these instruments are valuable for characterizing aspects of shallow geologic framework, including seafloor geology, sediment transport pathways, and marine resources. The data cover an area that extends from the entrance of Delaware Bay, Delaware, south to Parramore Island, Virginia, in water depths of about 3 to 35 meters below mean lower low water. Data were collected along lines spaced 40 meters apart, resulting in 40 to 100 percent seafloor coverage for multibeam bathymetry. Processed bathymetric data within the Delmarva Peninsula study area are available through a National Ocean Service interactive map interface, but towed sidescan data products are limited, and multibeam backscatter data products have not been available in the past.</p>\n<p>&nbsp;</p>\n<p>The U.S. Geological Survey obtained raw Reson multibeam data files from Science Applications International Corporation and the National Oceanic and Atmospheric Administration for 20 hydrographic surveys and extracted backscatter data using the Fledermaus Geocoder Toolbox from Quality Positioning Service. The backscatter mosaics produced by the U.S. Geological Survey for the inner continental shelf of the Delmarva Peninsula using National Oceanic and Atmospheric Administration data increased regional geophysical surveying efficiency, collaboration among government agencies, and the area over which geologic data can be interpreted by the U.S. Geological Survey. This report describes the methods by which the backscatter data were extracted and processed and includes backscatter mosaics and interpolated bathymetric surfaces.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141262","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"Pendleton, E., Brothers, L., Thieler, E.R., Danforth, W.W., and Parker, C., 2014, National Oceanic and Atmospheric Administration hydrographic survey data used in a U.S. Geological Survey regional geologic framework study along the Delmarva Peninsula: U.S. Geological Survey Open-File Report 2014-1262, v, 17 p., https://doi.org/10.3133/ofr20141262.","productDescription":"v, 17 p.","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060425","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":296950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141262.jpg"},{"id":296949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1262/pdf/ofr2014-1262.pdf","size":"7.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296948,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1262/"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Delmarva Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.728515625,\n              36.99377838872517\n            ],\n            [\n              -76.728515625,\n              39.66491373749128\n            ],\n            [\n              -74.970703125,\n              39.66491373749128\n            ],\n            [\n              -74.970703125,\n              36.99377838872517\n            ],\n            [\n              -76.728515625,\n              36.99377838872517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9de4b08de9379b313d","contributors":{"authors":[{"text":"Pendleton, Elizabeth A. ependleton@usgs.gov","contributorId":2863,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","email":"ependleton@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Laura L. lbrothers@usgs.gov","contributorId":4502,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","email":"lbrothers@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, Castle E.","contributorId":61754,"corporation":false,"usgs":false,"family":"Parker","given":"Castle E.","affiliations":[],"preferred":false,"id":537424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70134547,"text":"ofr20141247 - 2014 - Meteorological data for selected sites along the Colorado River Corridor, Arizona, 2011-13","interactions":[],"lastModifiedDate":"2014-12-29T15:53:45","indexId":"ofr20141247","displayToPublicDate":"2014-12-29T16:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1247","title":"Meteorological data for selected sites along the Colorado River Corridor, Arizona, 2011-13","docAbstract":"<p><span>This report presents data from 14 automated weather stations collected as part of an ongoing monitoring program within the Grand Canyon National Park and Glen Canyon Recreation Area along the Colorado River Corridor in Arizona. Weather data presented in this document include precipitation, wind speed, maximum wind gusts, wind direction, barometric pressure, relative humidity, and air temperature collected by the Grand Canyon Monitoring and Research Center at 4-minute intervals between January 1, 2011, and December 31, 2013, using automated weather stations consisting of a data logger and a weather transmitter equipped with a piezoelectric sensor, ultrasonic transducers, and capacitive thermal and pressure sensors. Data collection was discontinuous because of station additions, station removals, changes in permits, and equipment failure. A large volume of data was collected for each station. These data are part of a larger research effort focused on physical processes affecting landscapes and archaeological-site stability in the Colorado River Corridor&mdash;both natural processes (including meteorological events) and those related to the Glen Canyon Dam operations. Meteorological conditions during the study interval were warmer and drier than is typical, due to ongoing drought conditions during the time period studied. The El Ni&ntilde;o/Southern Oscillation was primarily in a neutral state during the reporting period.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141247","usgsCitation":"Caster, J., Dealy, T.P., Andrews, T., Fairley, H.C., East, A., and Sankey, J.B., 2014, Meteorological data for selected sites along the Colorado River Corridor, Arizona, 2011-13: U.S. Geological Survey Open-File Report 2014-1247, Report: iv, 56 p.; 1 Table; 4 Appendixes, https://doi.org/10.3133/ofr20141247.","productDescription":"Report: iv, 56 p.; 1 Table; 4 Appendixes","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057292","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":296915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141247.jpg"},{"id":296913,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1247/downloads/ofr2014-1247_appendix3.xlsx","text":"Appendix 3","size":"119.8 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296914,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1247/downloads/ofr2014-1247_appendix4.xlsx","text":"Appendix 4","size":"271 MB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296908,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1247/"},{"id":296909,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1247/pdf/ofr2014-1247.pdf","size":"7.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296910,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1247/downloads/ofr2014-1247_table4.xlsx","text":"Table 4 - Daily Rain Totals","size":"63 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296911,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1247/downloads/ofr2014-1247_appendix1.xlsx","text":"Appendix 1","size":"24 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296912,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1247/downloads/ofr2014-1247_appendix2.xlsx","text":"Appendix 2","size":"22 kB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River Corridor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.06005859375,\n              34.96699890670367\n            ],\n            [\n              -114.06005859375,\n              37.00255267215955\n            ],\n            [\n              -110.58837890625,\n              37.00255267215955\n            ],\n            [\n              -110.58837890625,\n              34.96699890670367\n            ],\n            [\n              -114.06005859375,\n              34.96699890670367\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a96e4b08de9379b311d","contributors":{"authors":[{"text":"Caster, Joshua J. jcaster@usgs.gov","contributorId":5644,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua J.","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":537326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dealy, Timothy P.","contributorId":19263,"corporation":false,"usgs":true,"family":"Dealy","given":"Timothy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":537327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Timothy tandrews@usgs.gov","contributorId":4420,"corporation":false,"usgs":true,"family":"Andrews","given":"Timothy","email":"tandrews@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":537329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"East, Amy E. aeast@usgs.gov","contributorId":2472,"corporation":false,"usgs":true,"family":"East","given":"Amy E.","email":"aeast@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537331,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70104563,"text":"ds69EE - 2014 - Petroleum systems and assessment of undiscovered oil and gas in the Anadarko Basin Province, Colorado, Kansas, Oklahoma, and Texas: USGS Province 58","interactions":[],"lastModifiedDate":"2018-06-07T14:28:32","indexId":"ds69EE","displayToPublicDate":"2014-12-29T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"EE","title":"Petroleum systems and assessment of undiscovered oil and gas in the Anadarko Basin Province, Colorado, Kansas, Oklahoma, and Texas: USGS Province 58","docAbstract":"<p>This publication provides research results and related data in support of the U.S. Geological Survey assessment of the undiscovered oil and gas resource potential of the Anadarko Basin Province of western Oklahoma and Kansas, northern Texas, and southeastern Colorado. This province area includes the Las Animas arch of southeastern Colorado, part of the Palo Duro Basin of Texas, and the Anadarko Basin. Results of the geologic analysis and resource assessment are based on the geologic elements of each defined total petroleum system, including hydrocarbon source rocks (source-rock maturation, hydrocarbon generation and migration), reservoir rocks (sequence stratigraphic and petrophysical properties), hydrocarbon traps (trapping mechanisms and timing), and seals. Using this geologic framework, the U.S. Geological Survey defined 2 total petroleum systems, the Woodford Composite total petroleum system and Pennsylvanian Composite total petroleum system and 12 included assessment units, and quantitatively estimated the undiscovered oil and gas resources within these conventional and continuous (unconventional) AUs.</p>\n<p>&nbsp;</p>\n<p>The 13 chapters included in U.S. Geological Survey Digital Data Series DDS&ndash;69&ndash;EE cover topics that range from the oil and gas resource assessment results (chapter 1 and 5&ndash;7), to geological, geochemical, and geophysical research across the province (chapters 3&ndash;11), tabular data and graphs in support of the assessment (chapter 12), and data releases of zmap-format grid files that were used to build petroleum system models and a standalone three-dimensional geologic model (chapter 13).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69EE","usgsCitation":"Higley, D.K., 2014, Petroleum systems and assessment of undiscovered oil and gas in the Anadarko Basin Province, Colorado, Kansas, Oklahoma, and Texas: USGS Province 58: U.S. Geological Survey Data Series 69, Full report: 409 p.; Chapters 1-13, https://doi.org/10.3133/ds69EE.","productDescription":"Full report: 409 p.; Chapters 1-13","numberOfPages":"409","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039637","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69EE.jpg"},{"id":296905,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ee/pdf/dds69ee_BOOK.pdf","size":"107 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296904,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ee/"},{"id":354819,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ee/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"DDS 69-EE Version History"}],"country":"United States","state":"Colorado, Kansas, Oklahoma, Texas","otherGeospatial":"Anadarko Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.1396484375,\n              34.34343606848294\n            ],\n            [\n              -103.1396484375,\n              39.16414104768742\n            ],\n            [\n              -95.20751953125,\n              39.16414104768742\n            ],\n            [\n              -95.20751953125,\n              34.34343606848294\n            ],\n            [\n              -103.1396484375,\n              34.34343606848294\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publicComments":"National and Global Assessment Anadarko Basin Province Assessment","revisedDate":"2018-06-07","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2aa1e4b08de9379b3150","contributors":{"authors":[{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":518857,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70128296,"text":"sir20145196 - 2014 - Modeling uncertainty in coal resource assessments, with an application to a central area of the Gillette coal field, Wyoming","interactions":[],"lastModifiedDate":"2014-12-28T14:29:05","indexId":"sir20145196","displayToPublicDate":"2014-12-28T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5196","title":"Modeling uncertainty in coal resource assessments, with an application to a central area of the Gillette coal field, Wyoming","docAbstract":"<p>Standards for the public disclosure of mineral resources and reserves do not require the use of any specific methodology when it comes to estimating the reliability of the resources. Unbeknownst to most intended recipients of resource appraisals, such freedom commonly results in subjective opinions or estimations based on suboptimal approaches, such as use of distance methods. This report presents the results of a study of the third of three coal deposits in which drilling density has been increased one order of magnitude in three stages. Applying geostatistical simulation, the densest dataset was used to check the results obtained by modeling the sparser drillings. We have come up with two summary displays of results based on the same simulations, which individually and combined provide a better assessment of uncertainty than traditional qualitative resource classifications: (a) a display of cell 90 percent confidence interval versus cumulative cell tonnage, and (b) a histogram of total resources. The first graph allows classification of data into any number of bins with dividers to be decided by the assessor on the basis of a discriminating variable that is statistically accepted as a measure of uncertainty, thereby improving the quality and flexibility of the modeling. The second display expands the scope of the modeling by providing a quantitative measure of uncertainty for total tonnage, which is a fundamental concern for stockholders, geologists, and decision makers. Our approach allows us to correctly model uncertainty issues not possible to predict with distance methods, such as (a) different levels of uncertainty for individual beds with the same pattern and density of drill holes, (b) different local degrees of reduction of uncertainty with drilling densification reflecting fluctuation in the complexity of the geology, (c) average reduction in uncertainty at a disproportionately lesser rate than the reduction in area per drill hole, (d) the proportional effect of higher uncertainty in areas of higher tonnages, despite a regular drilling pattern, (e) the possibility of a local increase in uncertainty despite drilling densification to reflect a more complex geology as the deposit is known in more detail, and (f) for exactly the same drilling pattern, tonnage per individual beds with different uncertainty than the aggregated tonnage. These results should be considered realistic improvements over distance methods used for quantitative classification of uncertainty in coal resource, such as U.S. Geological Survey Circular 891.<sup>1</sup>&nbsp;The approach should be a welcome addition to the toolkit of Competent Persons preparing public disclosures according to international mineral codes such as those promoted by the Combined Reserves International Reporting Standards Committee<sup>2</sup>&nbsp;and the Joint Ore Reserve Committee.<sup>3</sup></p>\n<p><sup>1</sup>&nbsp;Wood, G.H., Jr., Kehn, T.M., Carter, M.D., and Culbertson, W.C., 1983, Coal resources classification system of the U.S. Geological Survey: U.S. Geological Survey Circular 891, 65 p.</p>\n<p><sup>2</sup>&nbsp;CRIRSCO (Combined Reserves International Reporting Standards Committee), 2013, International reporting template for the public reporting of exploration results, mineral resources and mineral reserves: Accessed February 2014 at&nbsp;http://www.crirsco.com/crirsco_template_may2013.pdf.</p>\n<p><sup>3</sup>&nbsp;JORC (Joint Ore Reserves Committee), 2012, Australasian code for reporting of exploration results, mineral resources and ore reserves: Accessed September 2014 at http://www.jorc.org/docs/jorc_code2012.pdf.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145196","usgsCitation":"Olea, R., and Luppens, J.A., 2014, Modeling uncertainty in coal resource assessments, with an application to a central area of the Gillette coal field, Wyoming: U.S. Geological Survey Scientific Investigations Report 2014-5196, v, 46 p., https://doi.org/10.3133/sir20145196.","productDescription":"v, 46 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057123","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145196.jpg"},{"id":296894,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5196/pdf/sir2014_5196.pdf","size":"13.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296878,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5196/"}],"country":"United States","state":"Wyoming","otherGeospatial":"Gillette Coal Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.99884033203125,\n              43.26920624914964\n            ],\n            [\n              -105.99884033203125,\n              44.56307730757893\n            ],\n            [\n              -105.01281738281249,\n              44.56307730757893\n            ],\n            [\n              -105.01281738281249,\n              43.26920624914964\n            ],\n            [\n              -105.99884033203125,\n              43.26920624914964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a98e4b08de9379b312a","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":1401,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","email":"rolea@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":537218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luppens, James A. 0000-0001-7607-8750 jluppens@usgs.gov","orcid":"https://orcid.org/0000-0001-7607-8750","contributorId":550,"corporation":false,"usgs":true,"family":"Luppens","given":"James","email":"jluppens@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":537219,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70124604,"text":"sir20145174 - 2014 - Status and understanding of groundwater quality in the Sierra Nevada Regional study unit, 2008: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2014-12-28T14:06:26","indexId":"sir20145174","displayToPublicDate":"2014-12-28T14:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5174","title":"Status and understanding of groundwater quality in the Sierra Nevada Regional study unit, 2008: California GAMA Priority Basin Project","docAbstract":"<p>Groundwater quality in the Sierra Nevada Regional (SNR) study unit was investigated as part of the California State Water Resources Control Board&rsquo;s Groundwater Ambient Monitoring and Assessment Program Priority Basin Project. The study was designed to provide statistically unbiased assessments of the quality of untreated groundwater within the primary aquifer system of the Sierra Nevada. The primary aquifer system for the SNR study unit was delineated by the depth intervals over which wells in the State of California&rsquo;s database of public drinking-water supply wells are open or screened. Two types of assessments were made: (1) a status assessment that described the current quality of the groundwater resource, and (2) an evaluation of relations between groundwater quality and potential explanatory factors that represent characteristics of the primary aquifer system. The assessments characterize untreated groundwater quality, rather than the quality of treated drinking water delivered to consumers by water distributors.</p>\n<p>The status assessment was based on water-quality data collected by the U.S. Geological Survey from 83 wells in the SNR study unit in 2008 and from 117 wells in 3 small study units within the SNR study unit in 2006&ndash;07 and on water-quality data compiled in the State&rsquo;s database for 1,066 wells sampled in 2006&ndash;08. To provide some context for the results, water-quality data were converted to relative-concentrations (RCs), which are the sample concentrations divided by the concentrations of Federal or California regulatory and non-regulatory benchmarks for drinking-water quality. RCs for inorganic constituents (major ions, trace elements, nutrients, and radioactive constituents) were classified as &ldquo;high&rdquo; (RC &gt; 1.0, indicating that concentration is above the benchmark), &ldquo;moderate&rdquo; (1.0 &ge; RC &gt; 0.5), or &ldquo;low&rdquo; (RC &le; 0.5). For organic constituents (volatile organic compounds and pesticides) and special-interest constituents (perchlorate and&nbsp;<i>N</i>-nitrosodimethylamine [NDMA]), the boundary between moderate and low RCs was set at 0.1. All benchmarks used for organic constituents were health-based, whereas health-based and aesthetic-based benchmarks were used for inorganic constituents.</p>\n<p>The primary metric used for quantifying regional-scale groundwater quality was &ldquo;aquifer-scale proportion.&rdquo; Aquifer-scale proportions were calculated as the areal percentages of the primary aquifer system having high, moderate, and low RCs for a given constituent or class of constituents. The SNR study unit area was classified into four aquifer lithologic types&mdash;granitic rocks, metamorphic rocks, sedimentary deposits, and volcanic rocks&mdash;and aquifer-scale proportions were calculated on an area-weighted basis for each of the four aquifer lithologies and for the study unit as a whole (aggregated system).</p>\n<p>The results of the status assessment indicated that inorganic constituents were present at high and moderate RCs in greater proportions in the SNR study unit aggregated primary aquifer system than were organic constituents and that there were significant differences (p &lt; 0.05) between the four aquifer lithologies. One or more inorganic constituents with health-based benchmarks were present at high RCs in 16 percent of the aggregated primary aquifer system and at moderate RCs in 21 percent. Arsenic (9.7 percent), uranium (2.9 percent), boron (2.0 percent), fluoride (1.8 percent), and nitrate (1.4 percent) were the constituents most commonly present at high RCs.</p>\n<p>For inorganic constituents with aesthetic-based benchmarks, 18 percent of the aggregated primary aquifer system had high RCs of one or more constituent, and 6.8 percent had moderate RCs. Iron (15.8 percent), manganese (15.1 percent), and total dissolved solids (1.3 percent) were the constituents most commonly present at high RCs.</p>\n<p>Organic constituents were not detected in 72 percent of the primary aquifer system. One or more organic constituents had high RCs in 0.1 percent of the primary aquifer system, moderate RCs in 3.0 percent, and low RCs in 25 percent. Proportions of the four lithologic primary aquifer systems with high or moderate concentrations of organic constituents were not significantly different. Three organic constituents had area-weighted detection frequencies greater than 10 percent in the primary aquifer system as a whole or at least one of the four lithologic primary aquifer systems: the gasoline oxygenate methyl&nbsp;<i>tert</i>-butyl ether, the trihalomethane chloroform, and the herbicide simazine. The special-interest constituent perchlorate was detected at high RCs in 0.01 percent of the primary aquifer system and at moderate RCs in 1.0 percent, and detection frequencies could be accounted for by the distribution of perchlorate under natural conditions.</p>\n<p>Statistical tests were used to evaluate relations between constituent concentrations and potential explanatory factors descriptive of land use, geography, depth, geochemical conditions, and groundwater age. Higher concentrations of trace elements, radioactive constituents, and constituents with aesthetic-based benchmarks generally were associated with anoxic conditions, higher pH, and location within a particular compositional band in the Sierra Nevada batholith corresponding to the southwestern part of the study unit. High concentrations of organic constituents generally were associated with greater proportions of urban land use. No significant relations were observed between the concentrations of organic constituents and measures of well depth or groundwater age, perhaps because of the high proportions of springs and modern groundwater in the dataset.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145174","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Fram, M.S., and Belitz, K., 2014, Status and understanding of groundwater quality in the Sierra Nevada Regional study unit, 2008: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5174, x, 118 p., https://doi.org/10.3133/sir20145174.","productDescription":"x, 118 p.","numberOfPages":"132","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035059","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":296893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145174.jpg"},{"id":296877,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5174/"},{"id":296892,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5174/pdf/sir2014-5174.pdf","size":"10.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.541015625,\n              32.52828936482526\n            ],\n            [\n              -124.541015625,\n              41.96765920367816\n            ],\n            [\n              -114.08203125,\n              41.96765920367816\n            ],\n            [\n              -114.08203125,\n              32.52828936482526\n            ],\n            [\n              -124.541015625,\n              32.52828936482526\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publicComments":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab7e4b08de9379b31a3","contributors":{"authors":[{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537213,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70126414,"text":"70126414 - 2014 - Foraging and predation risk for larval cisco (Coregonus artedi) in Lake Superior: A modelling synthesis of empirical survey data","interactions":[],"lastModifiedDate":"2025-02-07T15:39:19.129184","indexId":"70126414","displayToPublicDate":"2014-12-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Foraging and predation risk for larval cisco (Coregonus artedi) in Lake Superior: A modelling synthesis of empirical survey data","docAbstract":"<p><span>The relative importance of predation and food availability as contributors to larval cisco (</span><i>Coregonus artedi</i><span>) mortality in Lake Superior were investigated using a visual foraging model to evaluate potential predation pressure by rainbow smelt (</span><i>Osmerus mordax</i><span>) and a bioenergetic model to evaluate potential starvation risk. The models were informed by observations of rainbow smelt, larval cisco, and zooplankton abundance at three Lake Superior locations during the period of spring larval cisco emergence and surface-oriented foraging. Predation risk was highest at Black Bay, ON, where average rainbow smelt densities in the uppermost 10 m of the water column were &gt;1000&nbsp;ha</span><sup>&minus;1</sup><span>. Turbid conditions at the Twin Ports, WI-MN, affected larval cisco predation risk because rainbow smelt remained suspended in the upper water column during daylight, placing them alongside larval cisco during both day and night hours. Predation risk was low at Cornucopia, WI, owing to low smelt densities (&lt;400&nbsp;ha</span><sup>&minus;1</sup><span>) and deep light penetration, which kept rainbow smelt near the lakebed and far from larvae during daylight. In situ zooplankton density estimates were low compared to the values used to develop the larval coregonid bioenergetics model, leading to predictions of negative growth rates for 10&nbsp;mm larvae at all three locations. The model predicted that 15&nbsp;mm larvae were capable of attaining positive growth at Cornucopia and the Twin Ports where low water temperatures (2&ndash;6&nbsp;&deg;C) decreased their metabolic costs. Larval prey resources were highest at Black Bay but warmer water temperatures there offset the benefit of increased prey availability. A sensitivity analysis performed on the rainbow smelt visual foraging model showed that it was relatively insensitive, while the coregonid bioenergetics model showed that the absolute growth rate predictions were highly sensitive to input parameters (i.e., 20% parameter perturbation led to order of magnitude differences in model estimates). Our modelling indicated that rainbow smelt predation may limit larval cisco survival at Black Bay and to a lesser extent at Twin Ports, and that starvation may be a major source of mortality at all three locations. The framework we describe has the potential to further our understanding of the relative importance of starvation and predation on larval fish survivorship, provided information on prey resources available to larvae are measured at sufficiently fine spatial scales and the models provide a realistic depiction of the dynamic processes that the larvae experience.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2014.09.009","usgsCitation":"Myers, J.T., Yule, D., Jones, M., Quinlan, H.R., and Berglund, E.K., 2014, Foraging and predation risk for larval cisco (Coregonus artedi) in Lake Superior: A modelling synthesis of empirical survey data: Ecological Modelling, v. 294, p. 71-83, https://doi.org/10.1016/j.ecolmodel.2014.09.009.","productDescription":"13 p.","startPage":"71","endPage":"83","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054122","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":296791,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.13134765625,\n              46.51351558059737\n            ],\n            [\n              -92.13134765625,\n              49.023461463214126\n            ],\n            [\n              -84.375,\n              49.023461463214126\n            ],\n            [\n              -84.375,\n              46.51351558059737\n            ],\n            [\n              -92.13134765625,\n              46.51351558059737\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"294","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ba2e4b08de9379b3440","contributors":{"authors":[{"text":"Myers, Jared T. 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":119508,"corporation":false,"usgs":false,"family":"Myers","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":519556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, Daniel L. dyule@usgs.gov","contributorId":2502,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","email":"dyule@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":519553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael L.","contributorId":119922,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":519557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quinlan, Henry R.","contributorId":117465,"corporation":false,"usgs":false,"family":"Quinlan","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":519555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berglund, Eric K.","contributorId":115926,"corporation":false,"usgs":false,"family":"Berglund","given":"Eric","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":519554,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70135700,"text":"ds906 - 2014 - Digital data for preliminary geologic map of the Mount Hood 30- by 60-minute quadrangle, northern Cascade Range, Oregon","interactions":[],"lastModifiedDate":"2014-12-23T16:48:43","indexId":"ds906","displayToPublicDate":"2014-12-23T17:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"906","title":"Digital data for preliminary geologic map of the Mount Hood 30- by 60-minute quadrangle, northern Cascade Range, Oregon","docAbstract":"<p>The Mount Hood 30- by 60-minute quadrangle covers the axis and east flank of the Cascade Range in northern Oregon. Its namesake, Mount Hood volcano, dominates the view in the northwest quarter of the quadrangle, but the entire area is underlain by Oligocene and younger volcanic and volcaniclastic rocks of the Cascade Range. Since the time of the Columbia River Basalt Group about 15 million years (m.y.) ago, the locus and composition of Cascade Range volcanism have shifted sporadically across the map area. Andesitic eruptions were predominant in the western part from about 14 to 10 m.y. ago (Salmon and Sandy Rivers area), producing the Rhododendron Formation and overlying lava flows. From about 8 to 6.5 m.y. ago, lithic pyroclastic debris of the Dalles Formation was shed by chiefly andesitic volcanoes in the north-central part of the map area (Hood River valley escarpment). Andesitic to dacitic volcanism was again predominant about 5 to 3 m.y. ago, with known eruptive centers located from Lookout Mountain westward to Lolo Pass, probably including the area now occupied by Mount Hood. A major episode of mafic volcanism-basalt and basaltic andesite-began about 3-4 m.y. ago and lasted until about 2 m.y. ago. Volcanism since about 2 m.y. ago has been concentrated along the axis of the High Cascades. North and south of Mount Hood these youngest rocks are predominantly basaltic andesite lava flows; whereas at Mount Hood itself, andesite is predominant, forming pyroclastic and debris-flow deposits and lava flows.</p>\n<p>This geodatabase contains information derived from legacy mapping that was published in 1995 as U.S. Geological Survey Open-File Report 95-219. The main component of this publication is a geologic map database prepared using geographic information system (GIS) applications. Included are pdf files to view or print the map sheet, the accompanying pamphlet from Open-File Report 95-219, and links to the original publication, which is available as scanned files in pdf format.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds906","collaboration":"Oregon Department of Geology and Mineral Industries","usgsCitation":"Lina Ma, Sherrod, D.R., and Scott, W.E., 2014, Digital data for preliminary geologic map of the Mount Hood 30- by 60-minute quadrangle, northern Cascade Range, Oregon: U.S. Geological Survey Data Series 906, Report: 6 p.; Plate: 47.99 x 35.98 in.; 5 Tables, https://doi.org/10.3133/ds906.","productDescription":"Report: 6 p.; Plate: 47.99 x 35.98 in.; 5 Tables","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056523","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":296871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds906.jpg"},{"id":296863,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0906/"},{"id":296864,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0906/pdf/ds906_quickreferenceguide.pdf"},{"id":296865,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/0906/pdf/ds906_geologyplotfile.pdf"},{"id":296866,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0906/metadata.html"},{"id":296867,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0906/tables.html"},{"id":296868,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0906/downloads/ds906_esrishpfiles.zip"},{"id":296869,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0906/downloads/ds906_mapinfotabfiles.zip"},{"id":296870,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0906/excelfiles.html"}],"country":"United States","state":"Oregon","otherGeospatial":"Northern Cascade Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.60693359374999,\n              41.983994270935625\n            ],\n            [\n              -124.60693359374999,\n              46.164614496897094\n            ],\n            [\n              -116.87255859374999,\n              46.164614496897094\n            ],\n            [\n              -116.87255859374999,\n              41.983994270935625\n            ],\n            [\n              -124.60693359374999,\n              41.983994270935625\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a6ae4b08de9379b3046","contributors":{"authors":[{"text":"Lina Ma","contributorId":130986,"corporation":false,"usgs":false,"family":"Lina Ma","affiliations":[{"id":7198,"text":"Oregon Department Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":537186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, William E. 0000-0001-8156-979X wescott@usgs.gov","orcid":"https://orcid.org/0000-0001-8156-979X","contributorId":1725,"corporation":false,"usgs":true,"family":"Scott","given":"William","email":"wescott@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537188,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70136057,"text":"ds69II - 2014 - Map of assessed coalbed-gas resources in the United States, 2014","interactions":[],"lastModifiedDate":"2014-12-22T12:55:40","indexId":"ds69II","displayToPublicDate":"2014-12-22T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"II","title":"Map of assessed coalbed-gas resources in the United States, 2014","docAbstract":"<p><span>This report presents a digital map of coalbed-gas resource assessments in the United States as part of the U.S. Geological Survey&rsquo;s (USGS) National Assessment of Oil and Gas Project. Using a geology-based assessment methodology, the USGS quantitatively estimated potential volumes of undiscovered, technically recoverable natural gas resources within coalbed-gas assessment units (AUs). This is the third digital map product in a series of USGS unconventional oil and gas resource maps. The map plate included in this report can be printed in hardcopy form or downloaded in a Geographic Information System (GIS) data package, including an ArcGIS ArcMap document (.mxd), geodatabase (.gdb), and published map file (.pmf). In addition, the publication access table contains hyperlinks to current USGS coalbed-gas assessment publications and web pages.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69II","usgsCitation":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team, and Biewick, L., 2014, Map of assessed coalbed-gas resources in the United States, 2014: U.S. Geological Survey Data Series 69, Report: iii, 6 p.; Map: 46.00 x 35.00 inches; Table; Downloads Directory, https://doi.org/10.3133/ds69II.","productDescription":"Report: iii, 6 p.; Map: 46.00 x 35.00 inches; Table; Downloads Directory","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-01-01","temporalEnd":"2014-12-31","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69II.jpg"},{"id":296842,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/"},{"id":296843,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/pdf/dds69ii.pdf","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296844,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/downloads/DDS69II_plate1.pdf","text":"Map","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296845,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/downloads/table_1.pdf","text":"Table","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296846,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/downloads/","text":"Downloads Directory"}],"projection":"Albers Equal Area Conic projection","datum":"North American Datum of 1983","country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.8046875,\n              24.846565348219734\n            ],\n            [\n              -124.8046875,\n              49.03786794532644\n            ],\n            [\n              -66.533203125,\n              49.03786794532644\n            ],\n            [\n              -66.533203125,\n              24.846565348219734\n            ],\n            [\n              -124.8046875,\n              24.846565348219734\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -187.82226562499997,\n              51.069016659603896\n            ],\n            [\n              -187.82226562499997,\n              71.13098770917023\n            ],\n            [\n              -140.888671875,\n              71.13098770917023\n            ],\n            [\n              -140.888671875,\n              51.069016659603896\n            ],\n            [\n              -187.82226562499997,\n              51.069016659603896\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -175.341796875,\n              18.687878686034196\n            ],\n            [\n              -175.341796875,\n              26.745610382199022\n            ],\n            [\n              -153.8525390625,\n              26.745610382199022\n            ],\n            [\n              -153.8525390625,\n              18.687878686034196\n            ],\n            [\n              -175.341796875,\n              18.687878686034196\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publicComments":"U.S. Geological Survey National Assessment of Oil and Gas Resources Project","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a94e4b08de9379b3110","contributors":{"authors":[{"text":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","contributorId":128233,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","id":537065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biewick, Laura R. H. (compiler) lbiewick@usgs.gov","contributorId":92561,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura R. H.","suffix":"(compiler)","email":"lbiewick@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":537066,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70098199,"text":"70098199 - 2014 - Geopressure gradient maps of Southern Louisiana, state, and vicinity","interactions":[],"lastModifiedDate":"2018-12-21T10:28:05","indexId":"70098199","displayToPublicDate":"2014-12-20T16:08:42","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Geopressure gradient maps of Southern Louisiana, state, and vicinity","docAbstract":"This series of five maps characterizes the subsurface pressure system of southern Louisiana, including the associated State and Federal waters. These maps were generated using the U.S. Geological Survey’s (USGS) comprehensive geopressure-gradient model (Burke et al., 2012b, 2013) that delineates the regional pressure system spanning the onshore and offshore Gulf of Mexico basin, USA. Previously, the model was used to generate ten regional-scale maps (Burke et al., 2012a): five contour maps characterized the depth to the surface defined by the first occurrence of regional isopressure gradients ranging from 0.60 psi/ft to 1.00 psi/ft, in 0.10-psi/ft increments; and five supporting maps displayed the spatial density of the data used to construct the regional contour maps. Explanation of generalized geopressure gradients and pressure-regime nomenclature is given here.\n\nThe five contour maps in this series characterize the depth to the surface defined by the first occurrence of isopressure gradients ranging from 0.60 psi/ft to 1.00 psi/ft, in 0.10-psi/ft increments. The geographical extent of this geopressure-gradient model is delineated on the maps, which encompass one of the most densely drilled regions of southern Louisiana and adjacent areas. The boundary of the model represents the area of greatest well density to maintain accurate contouring to the edge of the model. The pressure data were obtained from the IHS database (IHS Energy Group, 2011) and geologic folios (Dodge and Posey, 1981; Bebout and Gutiérrez, 1982; 1983; Eversull, 1984; Foote et al., 1990), which were compiled and digitally archived (Burke et al., 2011). Data quality analysis, linear-pressure interpolation calculations, and contouring algorithms defining the geopressure-gradient model are described by Burke et al. (2012b, 2013).\n\nThe isopressure-gradient trends depicted on these maps are not intended for detailed interpretation at specific locations.","language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Burke, L., Kinney, S.A., Dubiel, R.F., and Pitman, J.K., 2014, Geopressure gradient maps of Southern Louisiana, state, and vicinity, Zip File.","productDescription":"Zip File","ipdsId":"IP-046034","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284110,"type":{"id":15,"text":"Index Page"},"url":"https://datapages.com/gis-map-publishing-program/gis-open-files/geographic/geopressure-gradient-maps-of-southern-louisiana-state-and-vicinity"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.779296875,\n              29.065772888415406\n            ],\n            [\n              -88.83544921874999,\n              29.065772888415406\n            ],\n            [\n              -88.83544921874999,\n              30.968189296794247\n            ],\n            [\n              -93.779296875,\n              30.968189296794247\n            ],\n            [\n              -93.779296875,\n              29.065772888415406\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1e0a32e4b0708288cb0227","contributors":{"authors":[{"text":"Burke, Lauri 0000-0002-2035-8048","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":44891,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","affiliations":[],"preferred":false,"id":518610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A 0000-0001-5008-5813","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":118487,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":518612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubiel, Russell F 0000-0002-1280-0350","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":119070,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"","middleInitial":"F","affiliations":[],"preferred":false,"id":518613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":518611,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129333,"text":"cir1402 - 2014 - The National Climate Change and Wildlife Science Center annual report for 2013","interactions":[],"lastModifiedDate":"2018-04-24T14:10:44","indexId":"cir1402","displayToPublicDate":"2014-12-19T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1402","title":"The National Climate Change and Wildlife Science Center annual report for 2013","docAbstract":"<p>In 2008, Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS). The center was formed to respond to the demands of natural resource managers for rigorous scientific information and effective tools for assessing and responding to climate change. Located at the USGS National Headquarters in Reston, Va., the NCCWSC has invested more than $93 million (through FY13) in cutting-edge climate change research and, in response to Secretarial Order No. 3289, established and is managing eight regional Department of Interior (DOI) Climate Science Centers (CSCs). In 2013:</p>\n<p>&nbsp;</p>\n<ul>\n<li>The DOI CSCs awarded nearly $7 million in funding to universities and other partners for climate and land-use change research.</li>\n</ul>\n<p>&nbsp;</p>\n<ul>\n<li>The scientific work of the NCCWSC-CSC enterprise moved toward projects that focus on &lsquo;Science Infrastructure and Capacity Building&rsquo; and &lsquo;Thematic Science&rsquo;.</li>\n</ul>\n<p>&nbsp;</p>\n<ul>\n<li>A permanent director, David Helweg, Ph.D., was hired for the Pacific Islands CSC (PI CSC), completing the CSC leadership team.</li>\n</ul>\n<p>&nbsp;</p>\n<ul>\n<li>Staff scientists were hired at the Alaska (AK), Northeast (NE), and Southeast (SE) CSCs.</li>\n</ul>\n<p>&nbsp;</p>\n<ul>\n<li>Each of the eight CSCs completed the formation of regional Stakeholder Advisory Committees (SACs) and a national advisory committee (ACCCNRS) was created to oversee the NCCWSC-CSC enterprise.</li>\n</ul>\n<p>&nbsp;</p>\n<ul>\n<li>NCCWSC staff worked on creating a searchable public database on climate change vulnerability assessments.</li>\n</ul>\n<p>&nbsp;</p>\n<ul>\n<li>NCCWSC scientists authored articles in a special issue of the Ecological Society of America&rsquo;s journal Frontiers in Ecology and the Environment, which was devoted to an assessment of climate change effects on biodiversity and ecosystems, and the consequences for people.</li>\n</ul>\n<p>&nbsp;</p>\n<p>Learn more about these achievements in&nbsp;<i>The National Climate Change and Wildlife Science Center Annual Report for 2013</i>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1402","usgsCitation":"Varela-Acevedo, E., 2014, The National Climate Change and Wildlife Science Center annual report for 2013: U.S. Geological Survey Circular 1402, v, 31 p., https://doi.org/10.3133/cir1402.","productDescription":"v, 31 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057023","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":296820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1402.jpg"},{"id":296818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1402/"},{"id":296819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1402/pdf/circ1402.pdf","size":"4.22 MB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2abee4b08de9379b31c6","contributors":{"authors":[{"text":"Varela-Acevedo, Elda evarela-acevedo@usgs.gov","contributorId":292,"corporation":false,"usgs":true,"family":"Varela-Acevedo","given":"Elda","email":"evarela-acevedo@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":519829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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