{"pageNumber":"573","pageRowStart":"14300","pageSize":"25","recordCount":46684,"records":[{"id":70046568,"text":"sir20135062 - 2013 - Water-quality characteristics, trends, and nutrient and sediment loads of streams in the Treyburn development area, North Carolina, 1988–2009","interactions":[],"lastModifiedDate":"2017-01-17T20:42:52","indexId":"sir20135062","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","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":"2013-5062","title":"Water-quality characteristics, trends, and nutrient and sediment loads of streams in the Treyburn development area, North Carolina, 1988–2009","docAbstract":"Streamflow and water-quality data, including concentrations of nutrients, metals, and pesticides, were collected from October 1988 through September 2009 at six sites in the Treyburn development study area. A review of water-quality data for streams in and near a 5,400-acre planned, mixed-use development in the Falls Lake watershed in the upper Neuse River Basin of North Carolina indicated only small-scale changes in water quality since the previous assessment of data collected from 1988 to 1998. Loads and yields were estimated for sediment and nutrients, and temporal trends were assessed for specific conductance, pH, and concentrations of dissolved oxygen, suspended sediment, and nutrients. Water-quality conditions for the Little River tributary and Mountain Creek may reflect development within these basins. The nitrogen and phosphorus concentrations at the Treyburn sites are low compared to sites nationally. The herbicides atrazine, metolachlor, prometon, and simazine were detected frequently at Mountain Creek and Little River tributary but concentrations are low compared to sites nationally. Little River tributary had the lowest median suspended-sediment yield over the 1988–2009 study period, whereas Flat River tributary had the largest median yield. The yields estimated for suspended sediment and nutrients were low compared to yields estimated for other basins in the Southeastern United States. Recent increasing trends were detected in total nitrogen concentration and suspended-sediment concentrations for Mountain Creek, and an increasing trend was detected in specific conductance for Little River tributary. Decreasing trends were detected in dissolved nitrite plus nitrate nitrogen, total ammonia plus organic nitrogen, sediment, and specific conductance for Flat River tributary. Water chemical concentrations, loads, yields, and trends for the Treyburn study sites reflect some effects of upstream development. These measures of water quality are generally low, however, compared to regional and national averages.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135062","collaboration":"Prepared in cooperation with the City of Durham","usgsCitation":"Fine, J.M., Harned, D.A., and Oblinger, C.J., 2013, Water-quality characteristics, trends, and nutrient and sediment loads of streams in the Treyburn development area, North Carolina, 1988–2009: U.S. Geological Survey Scientific Investigations Report 2013-5062, viii, 61 p., https://doi.org/10.3133/sir20135062.","productDescription":"viii, 61 p.","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":273728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135062.gif"},{"id":273727,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5062/pdf/sir2013-5062.pdf"},{"id":273726,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5062/"}],"country":"United States","state":"North Carolina","otherGeospatial":"Treyburn Development Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,34 ], [ -81,36.5 ], [ -78,36.5 ], [ -78,34 ], [ -81,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ee4b0c04034a01c90","contributors":{"authors":[{"text":"Fine, Jason M. 0000-0002-6386-256X jmfine@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-256X","contributorId":2238,"corporation":false,"usgs":true,"family":"Fine","given":"Jason","email":"jmfine@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harned, Douglas A. daharned@usgs.gov","contributorId":1295,"corporation":false,"usgs":true,"family":"Harned","given":"Douglas","email":"daharned@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oblinger, Carolyn J. 0000-0003-2914-1643 oblinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2914-1643","contributorId":13275,"corporation":false,"usgs":true,"family":"Oblinger","given":"Carolyn","email":"oblinger@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":479813,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046587,"text":"70046587 - 2013 - Anatomy of La Jolla submarine canyon system; offshore southern California","interactions":[],"lastModifiedDate":"2022-02-01T21:29:03.612219","indexId":"70046587","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Anatomy of La Jolla submarine canyon system; offshore southern California","docAbstract":"An autonomous underwater vehicle (AUV) carrying a multibeam sonar and a chirp profiler was used to map sections of the seafloor within the La Jolla Canyon, offshore southern California, at sub-meter scales. Close-up observations and sampling were conducted during remotely operated vehicle (ROV) dives. Minisparker seismic-reflection profiles from a surface ship help to define the overall geometry of the La Jolla Canyon especially with respect to the pre-canyon host sediments.\n\nThe floor of the axial channel is covered with unconsolidated sand similar to the sand on the shelf near the canyon head, lacks outcrops of the pre-canyon host strata, has an almost constant slope of 1.0° and is covered with trains of crescent shaped bedforms. The presence of modern plant material entombed within these sands confirms that the axial channel is presently active. The sand on the canyon floor liquefied during vibracore collection and flowed downslope, illustrating that the sediment filling the channel can easily fail even on this gentle slope.\n\nData from the canyon walls help constrain the age of the canyon and extent of incision. Horizontal beds of moderately cohesive fine-grained sediments exposed on the steep canyon walls are consistently less than 1.232 million years old. The lateral continuity of seismic reflectors in minisparker profiles indicate that pre-canyon host strata extend uninterrupted from outside the canyon underneath some terraces within the canyon. Evidence of abandoned channels and point bar-like deposits are noticeably absent on the inside bend of channel meanders and in the subsurface of the terraces. While vibracores from the surface of terraces contain thin (< 10 cm) turbidites, they are inferred to be part of a veneer of recent sediment covering pre-canyon host sediments that underpin the terraces. The combined use of state of the art seafloor mapping and exploration tools provides a uniquely detailed view of the morphology within an active submarine canyon.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2012.10.003","usgsCitation":"Paull, C.K., Caress, D., Lundsten, E., Gwiazda, R., Anderson, K., McGann, M., Conrad, J., Edwards, B., and Sumner, E., 2013, Anatomy of La Jolla submarine canyon system; offshore southern California: Marine Geology, v. 335, p. 16-34, https://doi.org/10.1016/j.margeo.2012.10.003.","productDescription":"19 p.","startPage":"16","endPage":"34","ipdsId":"IP-036805","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":273744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273743,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2012.10.003"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"335","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d53e4b0c04034a01c68","contributors":{"authors":[{"text":"Paull, C. K.","contributorId":86845,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":479833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caress, D.W.","contributorId":14201,"corporation":false,"usgs":true,"family":"Caress","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":479826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundsten, E.","contributorId":89756,"corporation":false,"usgs":true,"family":"Lundsten","given":"E.","email":"","affiliations":[],"preferred":false,"id":479834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gwiazda, R.","contributorId":64920,"corporation":false,"usgs":true,"family":"Gwiazda","given":"R.","affiliations":[],"preferred":false,"id":479830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, K.","contributorId":43660,"corporation":false,"usgs":true,"family":"Anderson","given":"K.","affiliations":[],"preferred":false,"id":479828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, M. 0000-0002-3057-2945","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":49125,"corporation":false,"usgs":true,"family":"McGann","given":"M.","affiliations":[],"preferred":false,"id":479829,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conrad, J. 0000-0001-6655-694X","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":73828,"corporation":false,"usgs":true,"family":"Conrad","given":"J.","affiliations":[],"preferred":false,"id":479832,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, B. 0000-0002-4655-8208","orcid":"https://orcid.org/0000-0002-4655-8208","contributorId":65368,"corporation":false,"usgs":true,"family":"Edwards","given":"B.","affiliations":[],"preferred":false,"id":479831,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sumner, E.J.","contributorId":34415,"corporation":false,"usgs":true,"family":"Sumner","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":479827,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046537,"text":"ofr20131067 - 2013 - 2010 Joint United States-Canadian Program to explore the limits of the Extended Continental Shelf aboard U.S. Coast Guard Cutter Healy--Cruise HLY1002","interactions":[],"lastModifiedDate":"2013-06-13T21:22:59","indexId":"ofr20131067","displayToPublicDate":"2013-06-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1067","title":"2010 Joint United States-Canadian Program to explore the limits of the Extended Continental Shelf aboard U.S. Coast Guard Cutter Healy--Cruise HLY1002","docAbstract":"In August and September 2010, the U.S. Geological Survey, in cooperation with Natural Resources Canada, Geological Survey of Canada, conducted bathymetric and geophysical surveys in the Beaufort Sea and eastern Arctic Ocean aboard the U.S. Coast Guard Cutter Healy. The principal objective of this mission to the high Arctic was to acquire data in support of a delineation of the outer limits of the U.S. and Canadian Extended Continental Shelf in the Arctic Ocean, in accordance with the provisions of Article 76 of the United Nations Convention on the Law of the Sea.\n\nThe Healy was accompanied by the Canadian Coast Guard icebreaker Louis S. St-Laurent. The scientific parties on board the two vessels consisted principally of staff from the U.S. Geological Survey (Healy), and the Geological Survey of Canada and the Canadian Hydrographic Service (Louis). The crew also included marine-mammal observers, Native-community observers, ice observers, and biologists conducting research of opportunity in the Arctic Ocean.\n\nDespite interruptions necessitated by three medical emergencies, the joint survey proved largely successful. The Healy collected 7,201 trackline-kilometers of swath (multibeam) bathymetry (47,663 square kilometers) and CHIRP subbottom data, with accompanying marine gravity measurements, and expendable bathythermograph data. The Louis acquired 3,673 trackline-kilometers of multichannel seismic (airgun) deep-penetration reflection data along 25 continuous profiles, as well as 34 sonobuoy refraction stations and 9,500 trackline-kilometers of single-beam bathymetry. The coordinated efforts of the two vessels resulted in seismic-reflection-profile data that were of much higher quality and continuity than if the data had been acquired with a single vessel alone. The equipment-failure rate of the seismic equipment aboard the Louis was greatly reduced when the Healy led as the ice breaker. When ice conditions proved too severe to deploy the seismic system, the Louis led the Healy, resulting in much improved quality of the swath bathymetric and CHIRP subbottom data in comparison with data collected either by the Healy in the lead or the Healy working alone.\n\nDuring periods when the Healy was operating alone (principally when the Louis was diverted for emergency medical evacuations or ship repairs), the Healy was able to deploy a piston-core-sampler (10 meters maximum potential recovery depending on configuration). The coring operations resulted in recovery of cores at five locations ranging from 2.4 to 5.7 meters in length from water depths ranging from 1,157 to 3,700 meters. One of these cores sited on the Alaskan margin recovered the first reported occurrence of methane hydrate from the Arctic Ocean.\n\nAncillary science objectives, including ice observations and deployment of ice-monitoring buoys and water-column sampling to measure acidification of Arctic waters were successfully conducted. The water-column sampling included using 10 full-ocean-depth, water-sampling casts with accompanying conductivity-temperature-depth measurements.\n\nExcept for the data deemed proprietary, data from the cruise have been archived and are available for download at the National Geophysical Data Center and at cooperating organizations.\n\nOutreach staff and guest teachers aboard the two vessels provided near-real-time connection between the research activities and the public through online blogs, web pages, and other media.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131067","usgsCitation":"Edwards, B.D., Childs, J.R., Triezenberg, P., Danforth, W.W., and Gibbons, H., 2013, 2010 Joint United States-Canadian Program to explore the limits of the Extended Continental Shelf aboard U.S. Coast Guard Cutter Healy--Cruise HLY1002: U.S. Geological Survey Open-File Report 2013-1067, iv, 26 p.; 8 Appendixes; Figure 4, https://doi.org/10.3133/ofr20131067.","productDescription":"iv, 26 p.; 8 Appendixes; Figure 4","numberOfPages":"30","additionalOnlineFiles":"Y","temporalStart":"2010-08-02","temporalEnd":"2010-09-06","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":273689,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1067/"},{"id":273691,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appA.pdf"},{"id":273690,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067.pdf"},{"id":273692,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appB.pdf"},{"id":273693,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appC.pdf"},{"id":273694,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appD.pdf"},{"id":273695,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appE.pdf"},{"id":273696,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appF.pdf"},{"id":273697,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appG.pdf"},{"id":273698,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_appH.pdf"},{"id":273699,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1067/pdf/ofr20131067_Fig4.pdf"},{"id":273700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131067.png"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -132.0,79.75 ], [ -132.0,80.75 ], [ -127.0,80.75 ], [ -127.0,79.75 ], [ -132.0,79.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4925e4b0b290850eeead","contributors":{"authors":[{"text":"Edwards, Brian D. bedwards@usgs.gov","contributorId":3161,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Childs, Jonathan R. jchilds@usgs.gov","contributorId":3155,"corporation":false,"usgs":true,"family":"Childs","given":"Jonathan","email":"jchilds@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":479779,"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":479778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gibbons, Helen hgibbons@usgs.gov","contributorId":912,"corporation":false,"usgs":true,"family":"Gibbons","given":"Helen","email":"hgibbons@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118255,"text":"70118255 - 2013 - Characterisation of the Permafrost Carbon Pool","interactions":[],"lastModifiedDate":"2014-07-28T09:56:29","indexId":"70118255","displayToPublicDate":"2013-06-12T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Characterisation of the Permafrost Carbon Pool","docAbstract":"The current estimate of the soil organic carbon (SOC) pool in the northern permafrost region of 1672 Petagrams (Pg) C is much larger than previously reported and needs to be incorporated in global soil carbon (C) inventories. The Northern Circumpolar Soil Carbon Database (NCSCD), extended to include the range 0–300 cm, is now available online for wider use by the scientific community. An important future aim is to provide quantitative uncertainty ranges for C pool estimates. Recent studies have greatly improved understanding of the regional patterns, landscape distribution and vertical (soil horizon) partitioning of the permafrost C pool in the upper 3 m of soils. However, the deeper C pools in unconsolidated Quaternary deposits need to be better constrained. A general lability classification of the permafrost C pool should be developed to address potential C release upon thaw. The permafrost C pool and its dynamics are beginning to be incorporated into Earth System models, although key periglacial processes such as thermokarst still need to be properly represented to obtain a better quantification of the full permafrost C feedback on global climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Permafrost and Periglacial Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons","publisherLocation":"Sussex, England","doi":"10.1002/ppp.1782","usgsCitation":"Kuhry, P., Grosse, G., Harden, J., Hugelius, G., Koven, C., Ping, C., Schirrmeister, L., and Tarnocai, C., 2013, Characterisation of the Permafrost Carbon Pool: Permafrost and Periglacial Processes, v. 24, no. 2, p. 146-155, https://doi.org/10.1002/ppp.1782.","productDescription":"10 p.","startPage":"146","endPage":"155","numberOfPages":"10","costCenters":[],"links":[{"id":473748,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ppp.1782","text":"External Repository"},{"id":291108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291107,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ppp.1782"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-12","publicationStatus":"PW","scienceBaseUri":"57f7f2cbe4b0bc0bec0a05d4","contributors":{"authors":[{"text":"Kuhry, P.","contributorId":57277,"corporation":false,"usgs":false,"family":"Kuhry","given":"P.","affiliations":[],"preferred":false,"id":496608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":496611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":496606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugelius, G.","contributorId":27338,"corporation":false,"usgs":true,"family":"Hugelius","given":"G.","affiliations":[],"preferred":false,"id":496604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koven, C.D.","contributorId":34017,"corporation":false,"usgs":true,"family":"Koven","given":"C.D.","affiliations":[],"preferred":false,"id":496605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ping, C.-L.","contributorId":60843,"corporation":false,"usgs":true,"family":"Ping","given":"C.-L.","email":"","affiliations":[],"preferred":false,"id":496609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schirrmeister, L.","contributorId":41355,"corporation":false,"usgs":true,"family":"Schirrmeister","given":"L.","affiliations":[],"preferred":false,"id":496607,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tarnocai, C.","contributorId":67391,"corporation":false,"usgs":true,"family":"Tarnocai","given":"C.","affiliations":[],"preferred":false,"id":496610,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046471,"text":"ofr20131058 - 2013 - Regional maps of subsurface geopressure gradients of the onshore and offshore Gulf of Mexico basin","interactions":[],"lastModifiedDate":"2013-06-12T21:18:17","indexId":"ofr20131058","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1058","title":"Regional maps of subsurface geopressure gradients of the onshore and offshore Gulf of Mexico basin","docAbstract":"The U.S. Geological Survey created a comprehensive geopressure-gradient model of the regional pressure system spanning the onshore and offshore Gulf of Mexico basin, USA. This model was used to generate ten maps that included (1) five contour maps characterizing 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; and (2) five supporting maps illustrating the spatial density of the data used to construct the contour maps. These contour maps of isopressure-gradients at various increments enable the identification and quantification of the occurrence, magnitude, location, and depth of the subsurface pressure system, which allows for the broad characterization of regions exhibiting overpressured, underpressured, and normally pressured strata.\n\nIdentification of overpressured regions is critical for exploration and evaluation of potential undiscovered hydrocarbon accumulations based on petroleum-generation pressure signatures and pressure-retention properties of reservoir seals. Characterization of normally pressured regions is essential for field development decisions such as determining the dominant production drive mechanisms, evaluating well placement and drainage patterns, and deciding on well stimulation methods such as hydraulic fracturing. Identification of underpressured regions is essential for evaluating the feasibility of geological sequestration and long-term containment of fluids such as supercritical carbon dioxide for alternative disposal methods of greenhouse gases.\n\nThis study is the first, quantitative investigation of the regional pressure systems of one of the most important petroleum provinces in the United States. Although this methodology was developed for pressure studies in the Gulf of Mexico basin, it is applicable to any basin worldwide.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131058","usgsCitation":"Burke, L.A., Kinney, S.A., Dubiel, R.F., and Pitman, J.K., 2013, Regional maps of subsurface geopressure gradients of the onshore and offshore Gulf of Mexico basin: U.S. Geological Survey Open-File Report 2013-1058, Maps: 3 Sheets: 89 x 41 inches, https://doi.org/10.3133/ofr20131058.","productDescription":"Maps: 3 Sheets: 89 x 41 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273663,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1058/OFR13-1058_sheet2.pdf"},{"id":273664,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1058/OFR13-1058_sheet3.pdf"},{"id":273661,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1058/"},{"id":273662,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1058/OFR13-1058_sheet1.pdf"},{"id":273665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131058.png"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.9,18.2 ], [ -97.9,30.4 ], [ -81.0,30.4 ], [ -81.0,18.2 ], [ -97.9,18.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a5ee4b07b9df6070f3e","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479703,"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":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046461,"text":"ofr20131117 - 2013 - Circulation exchange patterns in Sinclair Inlet, Washington","interactions":[],"lastModifiedDate":"2013-06-12T13:17:52","indexId":"ofr20131117","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1117","title":"Circulation exchange patterns in Sinclair Inlet, Washington","docAbstract":"In 1994, the U.S. Geological Survey (USGS), in cooperation with the U.S. Navy, deployed three sets of moorings in Sinclair Inlet, which is a relatively small embayment on the western side of Puget Sound (fig. 1). This inlet is home to the Puget Sound Naval Shipyard. One purpose of the measurement program was to determine the transport pathways and fate of contaminants known to be present in Sinclair Inlet. Extensive descriptions of the program and the resultant information about contaminant pathways have been reported in Gartner and others (1998). This report primarily focused on the bottom boundary layer and the potential for resuspension and transport of sediments on the seabed in Sinclair Inlet as a result of tides and waves.  Recently (2013), interest in transport pathways for suspended and dissolved materials in Sinclair Inlet has been rekindled. In particular, the USGS scientists in Washington and California have been asked to reexamine the datasets collected in the earlier study to refine not only our understanding of transport pathways through the inlet, but to determine how those transport pathways are affected by subtidal currents, local wind stress, and fresh water inputs. Because the prior study focused on the bottom boundary layer and not the water column, a reanalysis of the datasets could increase our understanding of the dynamic forces that drive transport within and through the inlet. However, the early datasets are limited in scope and a comprehensive understanding of these transport processes may require more extensive datasets or the development of a detailed numerical model of transport processes for the inlet, or both.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131117","usgsCitation":"Noble, M.A., Rosenberger, K., Paulson, A.J., and Gartner, A.L., 2013, Circulation exchange patterns in Sinclair Inlet, Washington: U.S. Geological Survey Open-File Report 2013-1117, vi, 40 p., https://doi.org/10.3133/ofr20131117.","productDescription":"vi, 40 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":373,"text":"Marine Science Center","active":false,"usgs":true}],"links":[{"id":273648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131117.bmp"},{"id":273647,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1117/pdf/ofr20131117.pdf"},{"id":273646,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1117/"}],"country":"United States","state":"Washington","otherGeospatial":"Sinclair Inlet;Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.75,47.42 ], [ -122.75,47.75 ], [ -122.4,47.75 ], [ -122.4,47.42 ], [ -122.75,47.42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a5be4b07b9df6070f12","contributors":{"authors":[{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":479693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Kurt J.","contributorId":12934,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt J.","affiliations":[],"preferred":false,"id":479695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paulson, Anthony J. 0000-0002-2358-8834 apaulson@usgs.gov","orcid":"https://orcid.org/0000-0002-2358-8834","contributorId":5236,"corporation":false,"usgs":true,"family":"Paulson","given":"Anthony","email":"apaulson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":479694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gartner, Anne L.","contributorId":32620,"corporation":false,"usgs":true,"family":"Gartner","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479696,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046480,"text":"70046480 - 2013 - Numerical flow models and their calibration using tracer based ages","interactions":[],"lastModifiedDate":"2022-12-27T17:18:38.913441","indexId":"70046480","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Numerical flow models and their calibration using tracer based ages","docAbstract":"Any estimate of ‘age’ of a groundwater sample based on environmental tracers requires some form of geochemical model to interpret the tracer chemistry (chapter 3) and is, therefore, referred to in this chapter as a tracer model age. the tracer model age of a groundwater sample can be useful for obtaining information on the residence time and replenishment rate of an aquifer system, but that type of data is most useful when it can be incorporated with all other information that is known about the groundwater system under study. groundwater fl ow models are constructed of aquifer systems because they are usually the best way of incorporating all of the known information about the system in the context of a mathematical framework that constrains the model to follow the known laws of physics and chemistry as they apply to groundwater flow and transport. It is important that the purpose or objective of the study be identified first before choosing the type and complexity of the model to be constructed, and to make sure such a model is necessary. The purpose of a modelling study is most often to characterize the system within a numerical framework, such that the hydrological responses of the system can be tested under potential stresses that might be imposed given future development scenarios. As this manual discusses dating as it applies to old groundwater, most readers are likely to be interested in studying regional groundwater flow systems and their water resource potential.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Isotope Methods for Dating Old Groundwater","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna, Austria","usgsCitation":"Sanford, W., 2013, Numerical flow models and their calibration using tracer based ages, chap. 10 <i>of</i> Isotope Methods for Dating Old Groundwater, p. 245-258.","productDescription":"14 p.","startPage":"245","endPage":"258","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273673,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273672,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/iaeabooks/8880/Isotope-Methods-for-Dating-Old-Groundwater"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a5de4b07b9df6070f32","contributors":{"authors":[{"text":"Sanford, W.","contributorId":76490,"corporation":false,"usgs":true,"family":"Sanford","given":"W.","email":"","affiliations":[],"preferred":false,"id":479717,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046477,"text":"70046477 - 2013 - Characterization and conceptualization of groundwater flow systems","interactions":[],"lastModifiedDate":"2021-11-05T15:42:23.360562","indexId":"70046477","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Characterization and conceptualization of groundwater flow systems","docAbstract":"This chapter discusses some of the fundamental concepts, data needs and approaches that aid in developing a general understanding of a groundwater system. Principles of the hydrological cycle are reviewed; the processes of recharge and discharge in aquifer systems; types of geological, hydrological and hydraulic data needed to describe the hydrogeological framework of an aquifer system; factors affecting the distribution of recharge to aquifers; and uses of groundwater chemistry, geochemical modelling, environmental tracers and age interpretations in groundwater studies. Together, these concepts and observations aid in developing a conceptualization of groundwater flow systems and provide input to the development of numerical models of a flow system. Conceptualization of the geology, hydrology, geochemistry, and hydrogeological and hydrochemical framework can be quite useful in planning, study design, guiding sampling campaigns, acquisition of new data and, ultimately, developing numerical models capable of assessing a wide variety of societal issues — for example, sustainability of groundwater resources in response to real or planned withdrawals from the system, CO<sub>2</sub> sequestration or other waste isolation issues (such as nuclear waste disposal).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Isotope Methods for Dating Old Groundwater","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna, Austria","usgsCitation":"Plummer, N., Sanford, W., and Glynn, P.D., 2013, Characterization and conceptualization of groundwater flow systems, chap. 2 <i>of</i> Isotope Methods for Dating Old Groundwater, p. 5-19.","productDescription":"15 p.","startPage":"5","endPage":"19","ipdsId":"IP-021043","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273666,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/iaeabooks/8880/Isotope-Methods-for-Dating-Old-Groundwater"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b98a58e4b07b9df6070f0e","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":479707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, W. E. 0000-0002-6624-0280","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":102112,"corporation":false,"usgs":true,"family":"Sanford","given":"W. E.","affiliations":[],"preferred":false,"id":479708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glynn, P. D.","contributorId":7008,"corporation":false,"usgs":true,"family":"Glynn","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":479706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044082,"text":"70044082 - 2013 - Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA","interactions":[],"lastModifiedDate":"2013-06-12T15:39:57","indexId":"70044082","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA","docAbstract":"Coastal recreation and water quality are major contributors to human well-being in coastal regions. They can also interact, creating opportunities for ecosystem based management, ecological restoration, and water quality improvement that can positively affect people and the environment. Yet the effect of environmental quality on human behavior is often poorly quantified, but commonly assumed in coastal ecosystem service studies. To clarify this effect we investigate a water quality dataset for evidence that environmental condition partially explains variation in recreational visitation, our indicator of human behavior. In Puget Sound, WA, we investigate variation in visitation in both visitation rate and fixed effects (FE) models. The visitation rate model relates the differences in annual recreational visitation among parks to environmental conditions, park characteristics, travel cost, and recreational demand. In our FE model we control for all time-invariant unobserved variables and compare monthly variation at the park level to determine how water quality affects visitation during the summer season. The results of our first model illustrate how visitation relates to various amenities and costs. In the FE analysis, monthly visitation was negatively related to water quality while controlling for monthly visitation trends. This indicates people are responding to changes in water quality, and an improvement would yield an increase in the value of recreation. Together, these results could help in prioritizing water quality improvements, could assist the creation of new parks or the modification of existing recreational infrastructure, and provide quantitative estimates for the expected benefits from potential changes in recreational visitation and water quality improvements. Our results also provide an example of how recreational visitation can be quantified and used in ecosystem service assessments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"Reston, VA","doi":"10.1371/journal.pone.0056670","usgsCitation":"Kreitler, J., Papenfus, M., Byrd, K., and Labiosa, W., 2013, Interacting coastal based ecosystem services: recreation and water quality in Puget Sound, WA: PLoS ONE, v. 8, no. 2, e56670, https://doi.org/10.1371/journal.pone.0056670.","productDescription":"e56670","ipdsId":"IP-030510","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0056670","text":"Publisher Index Page"},{"id":273658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273657,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0056670"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.73,46.77 ], [ -124.73,49.23 ], [ -121.67,49.23 ], [ -121.67,46.77 ], [ -124.73,46.77 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-22","publicationStatus":"PW","scienceBaseUri":"51b98a5de4b07b9df6070f2a","contributors":{"authors":[{"text":"Kreitler, Jason","contributorId":68205,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","affiliations":[],"preferred":false,"id":474797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papenfus, Michael","contributorId":20636,"corporation":false,"usgs":true,"family":"Papenfus","given":"Michael","affiliations":[],"preferred":false,"id":474795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin","contributorId":82053,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","affiliations":[],"preferred":false,"id":474798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labiosa, William","contributorId":26421,"corporation":false,"usgs":true,"family":"Labiosa","given":"William","affiliations":[],"preferred":false,"id":474796,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189948,"text":"70189948 - 2013 - Phast4Windows: A 3D graphical user interface for the reactive-transport simulator PHAST","interactions":[],"lastModifiedDate":"2017-07-31T13:28:01","indexId":"70189948","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Phast4Windows: A 3D graphical user interface for the reactive-transport simulator PHAST","docAbstract":"<p><span>Phast4Windows is a Windows® program for developing and running groundwater-flow and reactive-transport models with the PHAST simulator. This graphical user interface allows definition of grid-independent spatial distributions of model properties—the porous media properties, the initial head and chemistry conditions, boundary conditions, and locations of wells, rivers, drains, and accounting zones—and other parameters necessary for a simulation. Spatial data can be defined without reference to a grid by drawing, by point-by-point definitions, or by importing files, including ArcInfo® shape and raster files. All definitions can be inspected, edited, deleted, moved, copied, and switched from hidden to visible through the data tree of the interface. Model features are visualized in the main panel of the interface, so that it is possible to zoom, pan, and rotate features in three dimensions (3D). PHAST simulates single phase, constant density, saturated groundwater flow under confined or unconfined conditions. Reactions among multiple solutes include mineral equilibria, cation exchange, surface complexation, solid solutions, and general kinetic reactions. The interface can be used to develop and run simple or complex models, and is ideal for use in the classroom, for analysis of laboratory column experiments, and for development of field-scale simulations of geochemical processes and contaminant transport.</span></p>","language":"English","publisher":"The Groundwater Association","doi":"10.1111/j.1745-6584.2012.00993.x","usgsCitation":"Charlton, S.R., and Parkhurst, D.L., 2013, Phast4Windows: A 3D graphical user interface for the reactive-transport simulator PHAST: Groundwater, v. 51, no. 4, p. 623-628, https://doi.org/10.1111/j.1745-6584.2012.00993.x.","productDescription":"6 p.","startPage":"623","endPage":"628","ipdsId":"IP-037472","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-24","publicationStatus":"PW","scienceBaseUri":"5980419de4b0a38ca278936e","contributors":{"authors":[{"text":"Charlton, Scott R. 0000-0001-7332-3394 charlton@usgs.gov","orcid":"https://orcid.org/0000-0001-7332-3394","contributorId":1632,"corporation":false,"usgs":true,"family":"Charlton","given":"Scott","email":"charlton@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706851,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189065,"text":"70189065 - 2013 - Uranium quantification in semen by inductively coupled plasma mass spectrometry","interactions":[],"lastModifiedDate":"2017-06-30T09:04:05","indexId":"70189065","displayToPublicDate":"2013-06-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2485,"text":"Journal of Trace Elements in Medicine and Biology","active":true,"publicationSubtype":{"id":10}},"title":"Uranium quantification in semen by inductively coupled plasma mass spectrometry","docAbstract":"<p><span>In this study we report uranium analysis for human semen samples. Uranium quantification was performed by inductively coupled plasma mass spectrometry. No additives, such as chymotrypsin or bovine serum albumin, were used for semen liquefaction, as they showed significant uranium content. For method validation we spiked 2</span><span>&nbsp;</span><span>g aliquots of pooled control semen at three different levels of uranium: low at 5</span><span>&nbsp;</span><span>pg/g, medium at 50</span><span>&nbsp;</span><span>pg/g, and high at 1000</span><span>&nbsp;</span><span>pg/g. The detection limit was determined to be 0.8</span><span>&nbsp;</span><span>pg/g uranium in human semen. The data reproduced within 1.4–7% RSD and spike recoveries were 97–100%. The uranium level of the unspiked, pooled control semen was 2.9</span><span>&nbsp;</span><span>pg/g of semen (</span><i>n</i><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>10). In addition six semen samples from a cohort of Veterans exposed to depleted uranium (DU) in the 1991 Gulf War were analyzed with no knowledge of their exposure history. Uranium levels in the Veterans’ semen samples ranged from undetectable (&lt;0.8</span><span>&nbsp;</span><span>pg/g) to 3350</span><span>&nbsp;</span><span>pg/g. This wide concentration range for uranium in semen is consistent with known differences in current DU body burdens in these individuals, some of whom have retained embedded DU fragments.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtemb.2012.07.004","usgsCitation":"Todorov, T.I., Ejnik, J.W., Guandalini, G.S., Xu, H., Hoover, D., Anderson, L.W., Squibb, K., McDiarmid, M.A., and Centeno, J.A., 2013, Uranium quantification in semen by inductively coupled plasma mass spectrometry: Journal of Trace Elements in Medicine and Biology, v. 27, no. 1, p. 2-6, https://doi.org/10.1016/j.jtemb.2012.07.004.","productDescription":"5 p.","startPage":"2","endPage":"6","ipdsId":"IP-030922","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576338e4b0d1f9f051b549","contributors":{"authors":[{"text":"Todorov, Todor I. ttodorov@usgs.gov","contributorId":1605,"corporation":false,"usgs":true,"family":"Todorov","given":"Todor","email":"ttodorov@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":702712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ejnik, John W.","contributorId":193962,"corporation":false,"usgs":false,"family":"Ejnik","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guandalini, Gustavo S.","contributorId":193960,"corporation":false,"usgs":false,"family":"Guandalini","given":"Gustavo","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":702714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Hanna","contributorId":193961,"corporation":false,"usgs":false,"family":"Xu","given":"Hanna","email":"","affiliations":[],"preferred":false,"id":702715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoover, Dennis","contributorId":193959,"corporation":false,"usgs":false,"family":"Hoover","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":702713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Larry W.","contributorId":172947,"corporation":false,"usgs":false,"family":"Anderson","given":"Larry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702987,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Squibb, Katherine","contributorId":194042,"corporation":false,"usgs":false,"family":"Squibb","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":702988,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McDiarmid, Melissa A.","contributorId":194043,"corporation":false,"usgs":false,"family":"McDiarmid","given":"Melissa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702989,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Centeno, Jose A.","contributorId":107724,"corporation":false,"usgs":true,"family":"Centeno","given":"Jose","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702990,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70189759,"text":"70189759 - 2013 - Inferring fault rheology from low-frequency earthquakes on the San Andreas","interactions":[],"lastModifiedDate":"2019-03-25T13:57:48","indexId":"70189759","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Inferring fault rheology from low-frequency earthquakes on the San Andreas","docAbstract":"<p><span>Families of recurring low-frequency earthquakes (LFEs) within nonvolcanic tremor (NVT) on the San Andreas fault in central California show strong sensitivity to shear stress induced by the daily tidal cycle. LFEs occur at all levels of the tidal shear stress and are in phase with the very small, ~400 Pa, stress amplitude. To quantitatively explain the correlation, we use a model from the existing literature that assumes the LFE sources are small, persistent regions that repeatedly fail during shear of a much larger scale, otherwise aseismically creeping fault zone. The LFE source patches see tectonic loading, creep of the surrounding fault which may be modulated by the tidal stress, and direct tidal loading. If the patches are small relative to the surrounding creeping fault then the stressing is dominated by fault creep, and if patch failure occurs at a threshold stress, then the resulting seismicity rate is proportional to the fault creep rate or fault zone strain rate. Using the seismicity rate as a proxy for strain rate and the tidal shear stress, we fit the data with possible fault rheologies that produce creep in laboratory experiments at temperatures of 400 to 600°C appropriate for the LFE source depth. The rheological properties of rock-forming minerals for dislocation creep and dislocation glide are not consistent with the observed fault creep because strong correlation between small stress perturbations and strain rate requires perturbation on the order of the ambient stress. The observed tidal modulation restricts ambient stress to be at most a few kilopascal, much lower than rock strength. A purely rate dependent friction is consistent with the observations only if the product of the friction rate dependence and effective normal stress is ~ 0.5 kPa. Extrapolating the friction rate strengthening dependence of phyllosilicates (talc) to depth would require the effective normal stress to be ~50 kPa, implying pore pressure is lithostatic. If the LFE source is on the order of tens of meters, as required by the model, rate-weakening friction rate dependence (e.g., olivine) at 400 to 600°C requires that the minimum effective pressure at the LFE source is ~ 2.5 MPa.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JB010118","usgsCitation":"Beeler, N.M., Thomas, A., Bürgmann, R., and Shelly, D.R., 2013, Inferring fault rheology from low-frequency earthquakes on the San Andreas: Journal of Geophysical Research, v. 118, no. 11, p. 5976-5990, https://doi.org/10.1002/2013JB010118.","productDescription":"15 p.","startPage":"5976","endPage":"5990","ipdsId":"IP-051647","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":473756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010118","text":"Publisher Index Page"},{"id":344245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"San Andreas fault","volume":"118","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-27","publicationStatus":"PW","scienceBaseUri":"59770755e4b0ec1a48889fc8","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Amanda","contributorId":195086,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","affiliations":[],"preferred":false,"id":706226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bürgmann, Roland","contributorId":195087,"corporation":false,"usgs":false,"family":"Bürgmann","given":"Roland","affiliations":[],"preferred":false,"id":706227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706228,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190217,"text":"70190217 - 2013 - Evidence of territoriality and species interactions from spatial point-pattern analyses of subarctic-nesting geese","interactions":[],"lastModifiedDate":"2017-08-20T10:43:36","indexId":"70190217","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of territoriality and species interactions from spatial point-pattern analyses of subarctic-nesting geese","docAbstract":"<p><span>Quantifying spatial patterns of bird nests and nest fate provides insights into processes influencing a species’ distribution. At Cape Churchill, Manitoba, Canada, recent declines in breeding Eastern Prairie Population Canada geese (</span><i>Branta canadensis interior</i><span>) has coincided with increasing populations of nesting lesser snow geese (</span><i>Chen caerulescens caerulescens</i><span>) and Ross’s geese (</span><i>Chen rossii</i><span>). We conducted a spatial analysis of point patterns using Canada goose nest locations and nest fate, and lesser snow goose nest locations at two study areas in northern Manitoba with different densities and temporal durations of sympatric nesting Canada and lesser snow geese. Specifically, we assessed (1) whether Canada geese exhibited territoriality and at what scale and nest density; and (2) whether spatial patterns of Canada goose nest fate were associated with the density of nesting lesser snow geese as predicted by the protective-association hypothesis. Between 2001 and 2007, our data suggest that Canada geese were territorial at the scale of nearest neighbors, but were aggregated when considering overall density of conspecifics at slightly broader spatial scales. The spatial distribution of nest fates indicated that lesser snow goose nest proximity and density likely influence Canada goose nest fate. Our analyses of spatial point patterns suggested that continued changes in the distribution and abundance of breeding lesser snow geese on the Hudson Bay Lowlands may have impacts on the reproductive performance of Canada geese, and subsequently the spatial distribution of Canada goose nests.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0081029","usgsCitation":"Reiter, M., and Andersen, D., 2013, Evidence of territoriality and species interactions from spatial point-pattern analyses of subarctic-nesting geese: PLoS ONE, v. 8, no. 12, Article e81029: 10 p., https://doi.org/10.1371/journal.pone.0081029.","productDescription":"Article e81029: 10 p.","ipdsId":"IP-017802","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0081029","text":"Publisher Index Page"},{"id":344978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-02","publicationStatus":"PW","scienceBaseUri":"599a9fb6e4b0b589267d58b9","contributors":{"authors":[{"text":"Reiter, Matthew","contributorId":195769,"corporation":false,"usgs":false,"family":"Reiter","given":"Matthew","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":true,"id":708098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":708019,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046400,"text":"fs20133012 - 2013 - Water resources of Natchitoches Parish, Louisiana","interactions":[],"lastModifiedDate":"2013-06-11T11:24:23","indexId":"fs20133012","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3012","title":"Water resources of Natchitoches Parish, Louisiana","docAbstract":"In 2005, about 33.8 million gallons per day (Mgal/d) was withdrawn from water sources in Natchitoches Parish, Louisiana. Surface water sources accounted for about 86 percent (29.2 Mgal/d) of all withdrawals whereas groundwater sources accounted for about 14 percent (4.62 Mgal/d). Withdrawals for industrial use accounted for about 42 percent (14.1 Mgal/d) of the total water withdrawn (table 2). Other categories of use included public supply, rural domestic, livestock, rice irrigation, general irrigation, and aquaculture. The city of Natchitoches used almost 5.6 Mgal/d (about 5.2 Mgal/d of surface water and 0.4 Mgal/d of ground water) for public supply. Water-use data collected at 5-year intervals from 1960 to 2005 indicated that total water withdrawals increased from about 3.5 Mgal/d in 1960 to a peak of almost 35 Mgal/d in 2000.\n\nThis fact sheet summarizes basic information on the water resources of Natchitoches Parish. Information on groundwater and surface-water availability, quality, development, use, and trends is based on previously published reports listed in the Selected References section.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133012","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Fendick, R., Prakken, L., and Griffith, J.M., 2013, Water resources of Natchitoches Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3012, 6 p., https://doi.org/10.3133/fs20133012.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":273594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133012.gif"},{"id":273593,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3012/pdf/FS2013-3012_Natchitoches.pdf"},{"id":273592,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3012/"}],"country":"United States","state":"Louisiana","county":"Natchitoches Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.5,31.25 ], [ -93.5,32.25 ], [ -92.5,32.25 ], [ -92.5,31.25 ], [ -93.5,31.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838dde4b03203c522b1a6","contributors":{"authors":[{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Larry B.","contributorId":86673,"corporation":false,"usgs":true,"family":"Prakken","given":"Larry B.","affiliations":[],"preferred":false,"id":479614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046435,"text":"sir20135113 - 2013 - A historical perspective on precipitation, drought severity, and streamflow in Texas during 1951-56 and 2011","interactions":[],"lastModifiedDate":"2016-08-05T13:23:40","indexId":"sir20135113","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","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":"2013-5113","title":"A historical perspective on precipitation, drought severity, and streamflow in Texas during 1951-56 and 2011","docAbstract":"<p>The intense drought throughout Texas during 2011 resulted in substantial declines in streamflow. By April 2011, nearly all of the State was experiencing severe to extreme drought according to data from the University of Nebraska&ndash;Lincoln Drought Monitor. By the end of July 2011, more than 75 percent of the State was experiencing exceptional drought. The worst of the drought occurred around October 4, 2011, when 97 percent of Texas was suffering from extreme to exceptional drought. The historical drought of 1951&ndash;56 has long been used by water-resource managers, engineers, and scientists as a point of reference for water-supply planning. A comparison of drought conditions during the 2011 water year (October 1, 2010, through September 30, 2011) to the historical drought of 1951&ndash;56 from a hydrologic perspective serves as an additional reference for water-supply planning.</p>\n<p>A record low statewide average annual precipitation of 11.27 inches for the period 1895&ndash;2011 was recorded during the 2011 water year; the prior record low statewide average precipitation was 13.91 inches during the 1956 water year. The statewide monthly Palmer Drought Severity Index (PDSI) declined to -7.93 during September 2011, which was larger in magnitude than the statewide PDSI during any drought-affected month in the 1950s.</p>\n<p>Annual mean streamflow and streamflow-duration curves for the 1951&ndash;56 and 2011 water years were assessed for 19 unregulated U.S. Geological Survey (USGS) streamflow-gaging stations. At eight of these streamflow-gaging stations, the annual mean streamflow was lower in 2011 than for any year during 1951&ndash;56; many of these stations are located in eastern Texas. Annual mean streamflows for streamflow-gaging stations in the Guadalupe, Blanco, and upper Frio River Basins were lower in 1956 than in 2011. The streamflow-duration curves for many streamflow-gaging stations indicate a lack of (or diminished) storm runoff during 2011. Low streamflows (those exceeded 90 to 95 percent of days) were lower for 1956 than for 2011 at seven streamflow-gaging stations. For most of these stations, the lowest of the low streamflows during 1951&ndash;56 occurred in 1956. During March to September 2011, record daily lows were measured at USGS streamflow-gaging station 08041500 Village Creek near Kountze, Tex., which has more than 70 years of record. Many other USGS streamflow-gaging stations in Texas started the 2011 water year with normal streamflow but by the end of the water year were flowing at near-record lows.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135113","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Winters, K.E., 2013, A historical perspective on precipitation, drought severity, and streamflow in Texas during 1951-56 and 2011: U.S. Geological Survey Scientific Investigations Report 2013-5113, v, 24 p., https://doi.org/10.3133/sir20135113.","productDescription":"v, 24 p.","numberOfPages":"34","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1951-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-044869","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":273629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135113.jpg"},{"id":273627,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5113/"},{"id":273628,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5113/pdf/sir20135113.pdf"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.6,25.8 ], [ -106.6,36.5 ], [ -93.5,36.5 ], [ -93.5,25.8 ], [ -106.6,25.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838d1e4b03203c522b17a","contributors":{"authors":[{"text":"Winters, Karl E. kwinters@usgs.gov","contributorId":3554,"corporation":false,"usgs":true,"family":"Winters","given":"Karl","email":"kwinters@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":479648,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046403,"text":"fs20133031 - 2013 - Water resources of Plaquemines Parish, Louisiana","interactions":[],"lastModifiedDate":"2013-06-11T11:22:44","indexId":"fs20133031","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3031","title":"Water resources of Plaquemines Parish, Louisiana","docAbstract":"In 2010, about 85.1 million gallons per day (Mgal/d) of water were withdrawn in Plaquemines Parish, Louisiana. Surface-water sources accounted for almost all withdrawals; groundwater sources accounted for only 0.04 Mgal/d. Industrial use accounted for about 92 percent of the total water withdrawn. Other categories of use included public supply, rural domestic, and livestock. Water-use data collected at 5-year intervals from 1960 to 2010 indicated that water withdrawals in Plaquemines Parish peaked at about 177 Mgal/d in 1975. The peak resulted primarily from an increase in industrial surface-water withdrawals from about 23.8 Mgal/d in 1970 to 171 Mgal/d in 1975. Since 1975, water withdrawals have ranged from about 157 to 85.1 Mgal/d, with industrial surface-water withdrawals accounting for most of the variation.\n\nThis fact sheet summarizes basic information on the water resources of Plaquemines Parish. Information on groundwater and surface-water availability, quality, development, use, and trends is based on previously published reports listed in the Selected References section.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133031","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., 2013, Water resources of Plaquemines Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3031, 6 p., https://doi.org/10.3133/fs20133031.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":273600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133031.gif"},{"id":273598,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3031/"},{"id":273599,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3031/pdf/FS2013-3031_Plaquemines.pdf"}],"country":"United States","state":"Louisiana","county":"Plaquemines Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.166666,29.833333 ], [ -90.166666,30.166666 ], [ -89.833333,30.166666 ], [ -89.833333,29.833333 ], [ -90.166666,29.833333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838dee4b03203c522b1aa","contributors":{"authors":[{"text":"Prakken, Larry B.","contributorId":86673,"corporation":false,"usgs":true,"family":"Prakken","given":"Larry B.","affiliations":[],"preferred":false,"id":479620,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046402,"text":"fs20133030 - 2013 - Water resources of St. Bernard Parish, Louisiana","interactions":[],"lastModifiedDate":"2013-06-11T11:23:44","indexId":"fs20133030","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3030","title":"Water resources of St. Bernard Parish, Louisiana","docAbstract":"In 2010, about 261 million gallons per day (Mgal/d) of water were withdrawn in St. Bernard Parish, Louisiana, almost entirely from surface-water sources. Industrial use accounted for about 97 percent (253 Mgal/d) of the total water withdrawn. Other categories of use included public supply, rural domestic, and livestock. Water-use data collected at 5-year intervals from 1960 to 2010 indicated that total water withdrawals in the parish ranged from about 138 to 720 Mgal/d, with industrial use of surface water making up the bulk of water withdrawals. The large decline in surface-water withdrawals from 1980 to 1985 was largely attributable to a decrease in industrial use from 654 Mgal/d in 1980 to 127 Mgal/d in 1985.\n\nThis fact sheet summarizes basic information on the water resources of St. Bernard Parish. Information on groundwater and surface-water availability, quality, development, use, and trends is based on previously published reports listed in the Selected References section.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133030","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., 2013, Water resources of St. Bernard Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3030, 4 p., https://doi.org/10.3133/fs20133030.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":273597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133030.gif"},{"id":273595,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3030/"},{"id":273596,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3030/pdf/FS2013-3030_StBernard.pdf"}],"country":"United States","state":"Louisiana","county":"St. Bernard Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.166666,29.333333 ], [ -90.166666,30.333333 ], [ -89.833333,30.333333 ], [ -89.833333,29.333333 ], [ -90.166666,29.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838dee4b03203c522b1ae","contributors":{"authors":[{"text":"Prakken, Larry B.","contributorId":86673,"corporation":false,"usgs":true,"family":"Prakken","given":"Larry B.","affiliations":[],"preferred":false,"id":479619,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042649,"text":"70042649 - 2013 - Interactions between brown bears and chum salmon at McNeil River, Alaska","interactions":[],"lastModifiedDate":"2013-06-11T11:53:22","indexId":"70042649","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between brown bears and chum salmon at McNeil River, Alaska","docAbstract":"Predation on returning runs of adult salmon (Oncorhynchus spp.) can have a large influence on their spawning success. At McNeil River State Game Sanctuary (MRSGS), Alaska, brown bears (Ursus arctos) congregate in high numbers annually along the lower McNeil River to prey upon returning adult chum salmon (O. keta). Low chum salmon escapements into McNeil River since the late 1990s have been proposed as a potential factor contributing to concurrent declines in bear numbers. The objective of this study was to determine the extent of bear predation on chum salmon in McNeil River, especially on pre-spawning fish, and use those data to adjust the escapement goal for the river. In 2005 and 2006, 105 chum salmon were radiotagged at the river mouth and tracked to determine cause and location of death. Below the falls, predators consumed 99% of tagged fish, killing 59% of them before they spawned. Subsequently, the escapement goal was nearly doubled to account for this pre-spawning mortality and to ensure enough salmon to sustain both predators and prey. This approach to integrated fish and wildlife management at MRSGS can serve as a model for other systems where current salmon escapement goals may not account for pre-spawning mortality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Bear Research and Management","doi":"10.2192/URSUS-D-12-00006.1","usgsCitation":"Peirce, J., Otis, E.O., Wipfli, M.S., and Follmann, E., 2013, Interactions between brown bears and chum salmon at McNeil River, Alaska: Ursus, v. 24, no. 1, p. 42-53, https://doi.org/10.2192/URSUS-D-12-00006.1.","productDescription":"12 p.","startPage":"42","endPage":"53","ipdsId":"IP-043218","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273605,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-12-00006.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Mcneil River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.683928,58.939429 ], [ -154.683928,59.149124 ], [ -154.243941,59.149124 ], [ -154.243941,58.939429 ], [ -154.683928,58.939429 ] ] ] } } ] }","volume":"24","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838dce4b03203c522b192","contributors":{"authors":[{"text":"Peirce, Joshua","contributorId":42510,"corporation":false,"usgs":true,"family":"Peirce","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":471987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, Edward O.","contributorId":19065,"corporation":false,"usgs":true,"family":"Otis","given":"Edward","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":471986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":471985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Follmann, Erich H.","contributorId":75049,"corporation":false,"usgs":true,"family":"Follmann","given":"Erich H.","affiliations":[],"preferred":false,"id":471988,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044503,"text":"70044503 - 2013 - Case study Middle Rio Grande Basin, New Mexico, USA","interactions":[],"lastModifiedDate":"2022-12-27T16:36:10.676771","indexId":"70044503","displayToPublicDate":"2013-06-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Case study Middle Rio Grande Basin, New Mexico, USA","docAbstract":"Chemical and isotopic patterns in groundwater can record characteristics of water sources, flow directions, and groundwater-age information.  This hydrochemical information can be useful in refining conceptualization of groundwater flow, in calibration of numerical models of groundwater flow, and in estimation of paleo and modern recharge rates.  This case study shows how chemical and isotopic data were used to characterize sources and flow of groundwater in the Middle Rio Grande Basin (MRGB) of New Mexico, USA. The <sup>14</sup>C model  ages of the groundwater samples are on the tens of thousands of year timescale.  These data changed some of the prevailing ideas about flow in the MRGB, and were used to improve a numerical model of the aquifer system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Isotope Methods for Dating Old Groundwater","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna, Austria","usgsCitation":"Plummer, N., and Sanford, W., 2013, Case study Middle Rio Grande Basin, New Mexico, USA, chap. 12 <i>of</i> Isotope Methods for Dating Old Groundwater, p. 273-295.","productDescription":"23 p.","startPage":"273","endPage":"295","ipdsId":"IP-017072","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273618,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273614,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/iaeabooks/8880/Isotope-Methods-for-Dating-Old-Groundwater"}],"country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,34.25 ], [ -107.5,35.75 ], [ -106.0,35.75 ], [ -106.0,34.25 ], [ -107.5,34.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b838d8e4b03203c522b182","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, W.","contributorId":76490,"corporation":false,"usgs":true,"family":"Sanford","given":"W.","email":"","affiliations":[],"preferred":false,"id":475757,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047853,"text":"70047853 - 2013 - A domain decomposition approach to implementing fault slip in finite-element models of quasi-static and dynamic crustal deformation","interactions":[],"lastModifiedDate":"2017-11-27T13:06:23","indexId":"70047853","displayToPublicDate":"2013-06-10T07:31:38","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A domain decomposition approach to implementing fault slip in finite-element models of quasi-static and dynamic crustal deformation","docAbstract":"We employ a domain decomposition approach with Lagrange multipliers to implement fault slip in a finite-element code, PyLith, for use in both quasi-static and dynamic crustal deformation applications. This integrated approach to solving both quasi-static and dynamic simulations leverages common finite-element data structures and implementations of various boundary conditions, discretization schemes, and bulk and fault rheologies. We have developed a custom preconditioner for the Lagrange multiplier portion of the system of equations that provides excellent scalability with problem size compared to conventional additive Schwarz methods. We demonstrate application of this approach using benchmarks for both quasi-static viscoelastic deformation and dynamic spontaneous rupture propagation that verify the numerical implementation in PyLith.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrb.50217","usgsCitation":"Aagaard, B.T., Knepley, M., and Williams, C., 2013, A domain decomposition approach to implementing fault slip in finite-element models of quasi-static and dynamic crustal deformation: Journal of Geophysical Research B: Solid Earth, v. 118, no. 6, p. 3059-3079, https://doi.org/10.1002/jgrb.50217.","productDescription":"21 p.","startPage":"3059","endPage":"3079","ipdsId":"IP-045732","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473758,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1308.5846","text":"External Repository"},{"id":277066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277064,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50217"}],"volume":"118","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-10","publicationStatus":"PW","scienceBaseUri":"521f1be0e4b0f8bf2b0760b9","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":483151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knepley, M.G.","contributorId":76634,"corporation":false,"usgs":true,"family":"Knepley","given":"M.G.","affiliations":[],"preferred":false,"id":483152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, C.A.","contributorId":79571,"corporation":false,"usgs":true,"family":"Williams","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":483153,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046357,"text":"sim2999 - 2013 - Reconnaissance geologic map of Kodiak Island and adjacent islands, Alaska","interactions":[],"lastModifiedDate":"2017-06-07T16:20:26","indexId":"sim2999","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2999","title":"Reconnaissance geologic map of Kodiak Island and adjacent islands, Alaska","docAbstract":"Kodiak Island and its adjacent islands, located on the west side of the Gulf of Alaska, contain one of the largest areas of exposure of the flysch and melange of the Chugach terrane of southern Alaska. However, in the past 25 years, only detailed mapping covering small areas in the archipelago has been done. This map and its associated digital files (Wilson and others, 2005) present the best available mapping compiled in an integrated fashion. The map and associated digital files represent part of a systematic effort to release geologic map data for the United States in a uniform manner. The geologic data have been compiled from a wide variety of sources, ranging from state and regional geologic maps to large-scale field mapping. The map data are presented for use at a nominal scale of 1:500,000, although individual datasets (see Wilson and others, 2005) may contain data suitable for use at larger scales.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2999","usgsCitation":"Wilson, F.H., 2013, Reconnaissance geologic map of Kodiak Island and adjacent islands, Alaska: U.S. Geological Survey Scientific Investigations Map 2999, Pamphlet: ii, 8 p.; 1 Map: 24.66 x 31.32 inches; OFR 2005-1340, https://doi.org/10.3133/sim2999.","productDescription":"Pamphlet: ii, 8 p.; 1 Map: 24.66 x 31.32 inches; OFR 2005-1340","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":273529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim2999.gif"},{"id":273527,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/2999/sim2999_map.pdf"},{"id":273526,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2999/sim2999_pamphlet.pdf"},{"id":273528,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2005/1340/"},{"id":273525,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2999/"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015277777777777777,5.085277777777778 ], [ -0.015277777777777777,0.001388888888888889 ], [ -152.5,0.001388888888888889 ], [ -152.5,5.085277777777778 ], [ -0.015277777777777777,5.085277777777778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75be4b0097a7158ab59","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":479546,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046359,"text":"ds771 - 2013 - Database for the Geologic Map of Newberry Volcano, Deschutes, Klamath, and Lake Counties, Oregon","interactions":[],"lastModifiedDate":"2019-03-26T08:54:34","indexId":"ds771","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"771","title":"Database for the Geologic Map of Newberry Volcano, Deschutes, Klamath, and Lake Counties, Oregon","docAbstract":"Newberry Volcano, one of the largest Quaternary volcanoes in the conterminous United States, is a broad shield-shaped volcano measuring 60 km north-south by 30 km east-west with a maximum elevation of more than 2 km. Newberry Volcano is the product of deposits from thousands of eruptions, including at least 25 in the past approximately 12,000 years (Holocene Epoch). Newberry Volcano has erupted as recently as 1,300 years ago, but isotopic ages indicate that the volcano began its growth as early as 0.6 million years ago. Such a long eruptive history and recent activity suggest that Newberry Volcano is likely to erupt in the future. This geologic map database of Newberry Volcano distinguishes rocks and deposits based on their composition, age, and lithology.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds771","collaboration":"Database for Miscellaneous Investigations Series Map I-2455","usgsCitation":"Bard, J.A., Ramsey, D.W., MacLeod, N.S., Sherrod, D.R., Chitwood, L.A., and Jensen, R.A., 2013, Database for the Geologic Map of Newberry Volcano, Deschutes, Klamath, and Lake Counties, Oregon: U.S. Geological Survey Data Series 771, HTML Document, Database, https://doi.org/10.3133/ds771.","productDescription":"HTML Document, Database","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":273533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds771.png"},{"id":273532,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/771/database/index.html"},{"id":273531,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/771/"}],"country":"United States","state":"Oregon","county":"Deschutes County, Klamath County, Lake County","otherGeospatial":"Newberry Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,43.5 ], [ -121.5,44.0 ], [ -121.0,44.0 ], [ -121.0,43.5 ], [ -121.5,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e759e4b0097a7158ab45","contributors":{"authors":[{"text":"Bard, Joseph A. 0000-0003-3143-4007 jbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3143-4007","contributorId":5590,"corporation":false,"usgs":true,"family":"Bard","given":"Joseph","email":"jbard@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":479549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacLeod, Norman S.","contributorId":13643,"corporation":false,"usgs":true,"family":"MacLeod","given":"Norman","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":479547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chitwood, Lawrence A.","contributorId":54655,"corporation":false,"usgs":true,"family":"Chitwood","given":"Lawrence","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Robert A.","contributorId":35469,"corporation":false,"usgs":false,"family":"Jensen","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":479551,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041504,"text":"70041504 - 2013 - Temporal variation and scale in movement-based resource selection functions","interactions":[],"lastModifiedDate":"2013-12-02T09:44:44","indexId":"70041504","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3475,"text":"Statistical Methodology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation and scale in movement-based resource selection functions","docAbstract":"A common population characteristic of interest in animal ecology studies pertains to the selection of resources. That is, given the resources available to animals, what do they ultimately choose to use? A variety of statistical approaches have been employed to examine this question and each has advantages and disadvantages with respect to the form of available data and the properties of estimators given model assumptions. A wealth of high resolution telemetry data are now being collected to study animal population movement and space use and these data present both challenges and opportunities for statistical inference. We summarize traditional methods for resource selection and then describe several extensions to deal with measurement uncertainty and an explicit movement process that exists in studies involving high-resolution telemetry data. Our approach uses a correlated random walk movement model to obtain temporally varying use and availability distributions that are employed in a weighted distribution context to estimate selection coefficients. The temporally varying coefficients are then weighted by their contribution to selection and combined to provide inference at the population level. The result is an intuitive and accessible statistical procedure that uses readily available software and is computationally feasible for large datasets. These methods are demonstrated using data collected as part of a large-scale mountain lion monitoring study in Colorado, USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Statistical Methodology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.stamet.2012.12.001","usgsCitation":"Hooten, M., Hanks, E., Johnson, D., and Alldredge, M., 2013, Temporal variation and scale in movement-based resource selection functions: Statistical Methodology, v. 17, p. 82-98, https://doi.org/10.1016/j.stamet.2012.12.001.","productDescription":"17 p.","startPage":"82","endPage":"98","ipdsId":"IP-038933","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273501,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.stamet.2012.12.001"},{"id":273503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75ce4b0097a7158ab65","contributors":{"authors":[{"text":"Hooten, M.B.","contributorId":50261,"corporation":false,"usgs":true,"family":"Hooten","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":469866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, E.M.","contributorId":104305,"corporation":false,"usgs":true,"family":"Hanks","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":469868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, D.S.","contributorId":30485,"corporation":false,"usgs":true,"family":"Johnson","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":469865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alldredge, M.W.","contributorId":50263,"corporation":false,"usgs":true,"family":"Alldredge","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":469867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045538,"text":"70045538 - 2013 - Age-specific survival of tundra swans on the lower Alaska Peninsula","interactions":[],"lastModifiedDate":"2018-06-20T20:24:17","indexId":"70045538","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Age-specific survival of tundra swans on the lower Alaska Peninsula","docAbstract":"The population of Tundra Swans (Cygnus columbianus columbianus) breeding on the lower Alaska Peninsula represents the southern extremity of the species' range and is uniquely nonmigratory. We used data on recaptures, resightings, and recoveries of neck-collared Tundra Swans on the lower Alaska Peninsula to estimate collar loss, annual apparent survival, and other demographic parameters for the years 1978–1989. Annual collar loss was greater for adult males fitted with either the thinner collar type (0.34) or the thicker collar type (0.15) than for other age/sex classes (thinner: 0.10, thicker: 0.04). The apparent mean probability of survival of adults (0.61) was higher than that of immatures (0.41) and for both age classes varied considerably by year (adult range: 0.44–0.95, immature range: 0.25–0.90). To assess effects of permanent emigration by age and breeding class, we analyzed post hoc the encounter histories of swans known to breed in our study area. The apparent mean survival of known breeders (0.65) was generally higher than that of the entire marked sample but still varied considerably by year (range 0.26–1.00) and indicated that permanent emigration of breeding swans was likely. We suggest that reductions in apparent survival probability were influenced primarily by high and variable rates of permanent emigration and that immigration by swans from elsewhere may be important in sustaining a breeding population at and near Izembek National Wildlife Refuge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of California Press","doi":"10.1525/cond.2013.110213","usgsCitation":"Meixell, B.W., Lindberg, M.S., Conn, P.B., Dau, C.P., Sarvis, J.E., and Sowl, K.M., 2013, Age-specific survival of tundra swans on the lower Alaska Peninsula: The Condor, v. 115, no. 2, p. 280-289, https://doi.org/10.1525/cond.2013.110213.","productDescription":"10 p.","startPage":"280","endPage":"289","ipdsId":"IP-041285","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2013.110213","text":"Publisher Index Page"},{"id":273547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273545,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2013.110213"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"115","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e757e4b0097a7158ab35","contributors":{"authors":[{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":477798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conn, Paul B.","contributorId":87440,"corporation":false,"usgs":true,"family":"Conn","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":477800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dau, Christian P.","contributorId":26185,"corporation":false,"usgs":true,"family":"Dau","given":"Christian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":477796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sarvis, John E.","contributorId":66576,"corporation":false,"usgs":true,"family":"Sarvis","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sowl, Kristine M.","contributorId":60372,"corporation":false,"usgs":false,"family":"Sowl","given":"Kristine","email":"","middleInitial":"M.","affiliations":[{"id":12598,"text":"Izembek National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":477797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046339,"text":"sir20135013 - 2013 - A national streamflow network gap analysis","interactions":[],"lastModifiedDate":"2013-06-10T09:29:21","indexId":"sir20135013","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","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":"2013-5013","title":"A national streamflow network gap analysis","docAbstract":"The U.S. Geological Survey (USGS) conducted a gap analysis to evaluate how well the USGS streamgage network meets a variety of needs, focusing on the ability to calculate various statistics at locations that have streamgages (gaged) and that do not have streamgages (ungaged). This report presents the results of analysis to determine where there are gaps in the network of gaged locations, how accurately desired statistics can be calculated with a given length of record, and whether the current network allows for estimation of these statistics at ungaged locations.  The analysis indicated that there is variability across the Nation’s streamflow data-collection network in terms of the spatial and temporal coverage of streamgages. In general, the Eastern United States has better coverage than the Western United States. The arid Southwestern United States, Alaska, and Hawaii were observed to have the poorest spatial coverage, using the dataset assembled for this study. Except in Hawaii, these areas also tended to have short streamflow records. Differences in hydrology lead to differences in the uncertainty of statistics calculated in different regions of the country. Arid and semiarid areas of the Central and Southwestern United States generally exhibited the highest levels of interannual variability in flow, leading to larger uncertainty in flow statistics.  At ungaged locations, information can be transferred from nearby streamgages if there is sufficient similarity between the gaged watersheds and the ungaged watersheds of interest. Areas where streamgages exhibit high correlation are most likely to be suitable for this type of information transfer. The areas with the most highly correlated streamgages appear to coincide with mountainous areas of the United States. Lower correlations are found in the Central United States and coastal areas of the Southeastern United States. Information transfer from gaged basins to ungaged basins is also most likely to be successful when basin attributes show high similarity. At the scale of the analysis completed in this study, the attributes of basins upstream of USGS streamgages cover the full range of basin attributes observed at potential locations of interest fairly well. Some exceptions included very high or very low elevation areas and very arid areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135013","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Kiang, J.E., Stewart, D.W., Archfield, S.A., Osborne, E.B., and Eng, K., 2013, A national streamflow network gap analysis: U.S. Geological Survey Scientific Investigations Report 2013-5013, Report: ix, 82 p.; 1 Appendix, https://doi.org/10.3133/sir20135013.","productDescription":"Report: ix, 82 p.; 1 Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":273473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135013.gif"},{"id":273471,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5013/sir2013-5013_app1_final.xlsx"},{"id":273469,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5013/pdf/sir2013-5013.pdf"},{"id":273470,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5013/"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.61,13.23 ], [ 144.61,71.83 ], [ -65.22,71.83 ], [ -65.22,13.23 ], [ 144.61,13.23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e750e4b0097a7158ab2d","contributors":{"authors":[{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, David W. dwstewar@usgs.gov","contributorId":2390,"corporation":false,"usgs":true,"family":"Stewart","given":"David","email":"dwstewar@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":479506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborne, Emily B.","contributorId":101971,"corporation":false,"usgs":true,"family":"Osborne","given":"Emily","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":479508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eng, Ken","contributorId":89480,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","affiliations":[],"preferred":false,"id":479507,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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