{"pageNumber":"1453","pageRowStart":"36300","pageSize":"25","recordCount":165296,"records":[{"id":70154966,"text":"70154966 - 2013 - Seasonal comparison of aquatic macroinvertebrate assemblages in a flooded coastal freshwater marsh","interactions":[],"lastModifiedDate":"2015-07-22T10:49:58","indexId":"70154966","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2949,"text":"Open Journal Of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal comparison of aquatic macroinvertebrate assemblages in a flooded coastal freshwater marsh","docAbstract":"<p><span>Marsh flooding and drying may be important factors affecting aquatic macroinvertebrate density and distribution in coastal freshwater marshes. Limited availability of water as a result of drying in emergent marsh may decrease density, taxonomic diversity, and taxa richness. The principal objectives of this study are to characterize the seasonal aquatic macroinvertebrate assemblage in a freshwater emergent marsh and compare aquatic macroinvertebrate species composition, density, and taxonomic diversity to that of freshwater marsh ponds. We hypothesize that 1) freshwater emergent marsh has lower seasonal density and taxonomic diversity compared to that of freshwater marsh ponds; and 2) freshwater emergent marsh has lower taxa richness than freshwater marsh ponds. Seasonal aquatic macroinvertebrate density in freshwater emergent marsh ranged from 0 organisms/m</span><sup><span>2</span></sup><span>&nbsp;(summer 2009) to 91.1 &plusmn; 20.53 organisms/m</span><sup><span>2</span></sup><span>&nbsp;(mean &plusmn; SE; spring 2009). Density in spring was higher than in all other seasons. Taxonomic diversity did not differ and there were no unique species in the freshwater emergent marsh. Our data only partially support our first hypothesis as aquatic macroinvertebrate density and taxonomic diversity between freshwater emergent marsh and ponds did not differ in spring, fall, and winter but ponds supported higher macroinvertebrate densities than freshwater emergent marsh during summer. However, our data did not support our second hypothesis as taxa richness between freshwater emergent marsh and ponds did not statistically differ.</span></p>","language":"English","publisher":"Scientific Research","doi":"10.4236/oje.2013.32011","usgsCitation":"Kang, S., and King, S.L., 2013, Seasonal comparison of aquatic macroinvertebrate assemblages in a flooded coastal freshwater marsh: Open Journal Of Ecology, v. 3, no. 2, p. 94-101, https://doi.org/10.4236/oje.2013.32011.","productDescription":"8 p.","startPage":"94","endPage":"101","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042386","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/oje.2013.32011","text":"Publisher Index Page"},{"id":305886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"White Lakes Wetlands Conservation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.63397216796875,\n              29.766761583985765\n            ],\n            [\n              -92.63397216796875,\n              29.99300228455108\n            ],\n            [\n              -92.36480712890625,\n              29.99300228455108\n            ],\n            [\n              -92.36480712890625,\n              29.766761583985765\n            ],\n            [\n              -92.63397216796875,\n              29.766761583985765\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b530a2","contributors":{"authors":[{"text":"Kang, Sung-Ryong","contributorId":140927,"corporation":false,"usgs":false,"family":"Kang","given":"Sung-Ryong","email":"","affiliations":[],"preferred":false,"id":565296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564417,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168979,"text":"70168979 - 2013 - The role of farfield tectonic stress in oceanic intraplate deformation, Gulf of Alaska","interactions":[],"lastModifiedDate":"2016-03-10T10:02:13","indexId":"70168979","displayToPublicDate":"2013-05-01T00:00:00","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":"The role of farfield tectonic stress in oceanic intraplate deformation, Gulf of Alaska","docAbstract":"<p>An integration of geophysical data from the Pacific Plate reveals plate bending anomalies, massive intraplate shearing and deformation, and a lack of oceanic crust magnetic lineaments in different regions across the Gulf of Alaska. We argue that farfield stress from the Yakutat Terrane collision with North America is the major driver for these unusual features. Similar plate motion vectors indicate that the Pacific plate and Yakutat Terrane are largely coupled along their boundary, the Transition Fault, with minimal translation. Our study shows that the Pacific Plate subduction angle shallows toward the Yakutat Terrane and supports the theory that the Pacific Plate and Yakutat Terranemaintain coupling along the subducted region of the Transition Fault. We argue that the outboard transfer of collisional stress to the Pacific Plate could have resulted in significant strain in the NE corner of the Pacific Plate, which created pathways for igneous sill formation just above the Pacific Plate crust in the Surveyor Fan. A shift in Pacific Plate motion during the late Miocene altered the Yakutat collision with North America, changing the stress transfer regime and potentially terminating associated strain in the NE corner of the Pacific Plate. The collision further intensified as the thickest portion of the Yakutat Terrane began to subduct during the Pleistocene, possibly providing the impetus for the creation of the Gulf of Alaska Shear Zone, a&gt;200 km zone of intraplate strike-slip faults that extend from the Transition Fault out into the Pacific Plate. This study highlights the importance of farfield stress from complex tectonic regimes in consideration of large-scale oceanic intraplate deformation.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrb.50177","usgsCitation":"Reece, R.S., Gulick, S., Christesen, G.L., Horton, B.K., VanAvendonk, H.J., and Barth, G., 2013, The role of farfield tectonic stress in oceanic intraplate deformation, Gulf of Alaska: Journal of Geophysical Research B: Solid Earth, v. 118, no. 5, p. 1862-1872, https://doi.org/10.1002/jgrb.50177.","productDescription":"11 p.","startPage":"1862","endPage":"1872","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057434","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":318778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.3251953125,\n              55.47885346331034\n            ],\n            [\n              -153.3251953125,\n              61.48075950007598\n            ],\n            [\n              -134.560546875,\n              61.48075950007598\n            ],\n            [\n              -134.560546875,\n              55.47885346331034\n            ],\n            [\n              -153.3251953125,\n              55.47885346331034\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-09","publicationStatus":"PW","scienceBaseUri":"56e2a8d1e4b0f59b85d391c1","chorus":{"doi":"10.1002/jgrb.50177","url":"http://dx.doi.org/10.1002/jgrb.50177","publisher":"Wiley-Blackwell","authors":"Reece Robert S., Gulick Sean P. S., Christeson Gail L., Horton Brian K., van Avendonk Harm, Barth Ginger","journalName":"Journal of Geophysical Research: Solid Earth","publicationDate":"5/2013"},"contributors":{"authors":[{"text":"Reece, Robert S.","contributorId":147202,"corporation":false,"usgs":false,"family":"Reece","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":622428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gulick, Sean P. S.","contributorId":147201,"corporation":false,"usgs":false,"family":"Gulick","given":"Sean P. S.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":622429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christesen, Gail L.","contributorId":167469,"corporation":false,"usgs":false,"family":"Christesen","given":"Gail","email":"","middleInitial":"L.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":622430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Brian K.","contributorId":167470,"corporation":false,"usgs":false,"family":"Horton","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":622431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VanAvendonk, Harm J.","contributorId":147204,"corporation":false,"usgs":false,"family":"VanAvendonk","given":"Harm","email":"","middleInitial":"J.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":622432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barth, Ginger gbarth@usgs.gov","contributorId":167468,"corporation":false,"usgs":true,"family":"Barth","given":"Ginger","email":"gbarth@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":622427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188333,"text":"70188333 - 2013 - Radiometric and geometric assessment of data from the RapidEye constellation of satellites","interactions":[],"lastModifiedDate":"2017-06-06T13:47:46","indexId":"70188333","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric and geometric assessment of data from the RapidEye constellation of satellites","docAbstract":"<p><span>To monitor land surface processes over a wide range of temporal and spatial scales, it is critical to have coordinated observations of the Earth's surface using imagery acquired from multiple spaceborne imaging sensors. The RapidEye (RE) satellite constellation acquires high-resolution satellite images covering the entire globe within a very short period of time by sensors identical in construction and cross-calibrated to each other. To evaluate the RE high-resolution Multi-spectral Imager (MSI) sensor capabilities, a cross-comparison between the RE constellation of sensors was performed first using image statistics based on large common areas observed over pseudo-invariant calibration sites (PICS) by the sensors and, second, by comparing the on-orbit radiometric calibration temporal trending over a large number of calibration sites. For any spectral band, the individual responses measured by the five satellites of the RE constellation were found to differ &lt;2–3% from the average constellation response depending on the method used for evaluation. Geometric assessment was also performed to study the positional accuracy and relative band-to-band (B2B) alignment of the image data sets. The position accuracy was assessed by comparing the RE imagery against high-resolution aerial imagery, while the B2B characterization was performed by registering each band against every other band to ensure that the proper band alignment is provided for an image product. The B2B results indicate that the internal alignments of these five RE bands are in agreement, with bands typically registered to within 0.25 pixels of each other or better.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.798877","usgsCitation":"Chander, G., Haque, O., Sampath, A., Brunn, A., Trosset, G., Hoffmann, D., Roloff, S., Thiele, M., and Anderson, C., 2013, Radiometric and geometric assessment of data from the RapidEye constellation of satellites: International Journal of Remote Sensing, v. 34, no. 16, p. 5905-5925, https://doi.org/10.1080/01431161.2013.798877.","productDescription":"21 p.","startPage":"5905","endPage":"5925","ipdsId":"IP-045652","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":342157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"16","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-23","publicationStatus":"PW","scienceBaseUri":"5937bf30e4b0f6c2d0d9c793","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":697252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":697280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":697281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunn, A.","contributorId":192657,"corporation":false,"usgs":false,"family":"Brunn","given":"A.","email":"","affiliations":[],"preferred":false,"id":697282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trosset, G.","contributorId":192658,"corporation":false,"usgs":false,"family":"Trosset","given":"G.","email":"","affiliations":[],"preferred":false,"id":697283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoffmann, D.","contributorId":61555,"corporation":false,"usgs":true,"family":"Hoffmann","given":"D.","email":"","affiliations":[],"preferred":false,"id":697284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roloff, S.","contributorId":192659,"corporation":false,"usgs":false,"family":"Roloff","given":"S.","email":"","affiliations":[],"preferred":false,"id":697285,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thiele, M.","contributorId":192660,"corporation":false,"usgs":false,"family":"Thiele","given":"M.","email":"","affiliations":[],"preferred":false,"id":697286,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, C.","contributorId":192661,"corporation":false,"usgs":false,"family":"Anderson","given":"C.","affiliations":[],"preferred":false,"id":697287,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70043407,"text":"70043407 - 2013 - Reevaluation of the Piermont-Frontenac allochthon in the Upper Connecticut Valley: Restoration of a coherent Boundary Mountains–Bronson Hill stratigraphic sequence","interactions":[],"lastModifiedDate":"2013-06-07T15:09:37","indexId":"70043407","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of the Piermont-Frontenac allochthon in the Upper Connecticut Valley: Restoration of a coherent Boundary Mountains–Bronson Hill stratigraphic sequence","docAbstract":"The regional extent and mode and time of emplacement of the Piermont-Frontenac allochthon in the Boundary Mountains–Bronson Hill anticlinorium of the Upper Connecticut Valley, New Hampshire–Vermont, are controversial. Moench and coworkers beginning in the 1980s proposed that much of the autochthonous pre–Middle Ordovician section of the anticlinorium was a large allochthon of Silurian to Early Devonian rocks correlated to those near Rangeley, Maine. This ∼200-km-long allochthon was postulated to have been transported westward in the latest Silurian to Early Devonian as a soft-sediment gravity slide on a hypothesized Foster Hill fault. New mapping and U-Pb geochronology do not support this interpretation. The undisputed Rangeley sequence in the Bean Brook slice is different from the disputed sequence in the proposed larger Piermont-Frontenac allochthon, and field evidence for the Foster Hill fault is lacking. At the type locality on Foster Hill, the postulated “fault” is a stratigraphic contact within the Ordovician Ammonoosuc Volcanics. The proposed Foster Hill fault would place the Piermont-Frontenac allochthon over the inverted limb of the Cornish(?) nappe, which includes the Emsian Littleton Formation, thus limiting the alleged submarine slide to post-Emsian time. Mafic dikes of the 419 Ma Comerford Intrusive Complex intrude previously folded strata attributed to the larger Piermont-Frontenac allochthon as well as the autochthonous Albee Formation and Ammonoosuc Volcanics. The Lost Nation pluton intruded and produced hornfels in previously deformed Albee strata. Zircons from an apophysis of the pluton in the hornfels have a thermal ionization mass spectrometry <sup>207</sup>Pb/<sup>206</sup>Pb age of 444.1 ± 2.1 Ma. Tonalite near Bath, New Hampshire, has a zircon sensitive high-resolution ion microprobe <sup>206</sup>Pb/<sup>238</sup>U age of 492.5 ± 7.8 Ma. The tonalite intrudes the Albee Formation, formerly interpreted as the Silurian Perry Mountain Formation of the proposed allochthon. Collectively, these features indicate that the large Piermont-Frontenac allochthon gravity slide of Silurian-Devonian strata, as previously proposed, cannot exist. Allochthonous rocks are restricted to a 25 km<sup>2</sup> klippe, the Bean Brook slice, emplaced by hard-rock thrusting in the post-Emsian Devonian. The Albee Formation, the oldest unit in the study area, is older than the Late Cambrian tonalite at Bath. The correlation and apparent continuity along strike to the northeast of the Albee Formation with the Dead River Formation suggest that the Albee Formation, like the Dead River Formation, is of Ganderian affinity and that the Bronson Hill magmatic arc in the Upper Connecticut Valley was built on Ganderian crust. The Dead River Formation is unconformably overlain by Middle and Upper Ordovician volcanic units; the unconformity is attributed to the pre-Arenig Penobscottian orogeny. Some of the pre-Silurian deformation in the Upper Connecticut Valley may be Penobscottian rather than Taconian. New stratigraphic units defined herein include the pelitic Scarritt Member of the Albee Formation, the Ordovician Washburn Brook Formation consisting of synsedimentary breccia and coticule, chert, and ironstone, and the Devonian–Silurian Sawyer Mountain Formation, probably correlative with the Frontenac Formation. The Partridge Formation is partially coeval with the Ammonoosuc Volcanics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Geological Society of America","doi":"10.1130/B30590.1","usgsCitation":"Rankin, D., Tucker, R.D., and Amelin, Y., 2013, Reevaluation of the Piermont-Frontenac allochthon in the Upper Connecticut Valley: Restoration of a coherent Boundary Mountains–Bronson Hill stratigraphic sequence: Geological Society of America Bulletin, v. 125, no. 5-6, p. 998-1024, https://doi.org/10.1130/B30590.1.","productDescription":"27 p.","startPage":"998","endPage":"1024","ipdsId":"IP-035967","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":273462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273461,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30590.1"}],"country":"United States","state":"New Hampshire;Vermont","volume":"125","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"51b300e6e4b01368e589e3f8","contributors":{"authors":[{"text":"Rankin, Douglas W. dwrankin@usgs.gov","contributorId":1770,"corporation":false,"usgs":true,"family":"Rankin","given":"Douglas W.","email":"dwrankin@usgs.gov","affiliations":[],"preferred":true,"id":473536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Robert D. 0000-0001-8463-4358 rtucker@usgs.gov","orcid":"https://orcid.org/0000-0001-8463-4358","contributorId":2007,"corporation":false,"usgs":true,"family":"Tucker","given":"Robert","email":"rtucker@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":473537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amelin, Yuri","contributorId":94955,"corporation":false,"usgs":true,"family":"Amelin","given":"Yuri","affiliations":[],"preferred":false,"id":473538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045736,"text":"sir20135045 - 2013 - Investigations of groundwater system and simulation of regional groundwater flow for North Penn Area 7 Superfund site, Montgomery County, Pennsylvania","interactions":[],"lastModifiedDate":"2015-05-01T08:11:34","indexId":"sir20135045","displayToPublicDate":"2013-05-01T00:00:00","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":"2013-5045","title":"Investigations of groundwater system and simulation of regional groundwater flow for North Penn Area 7 Superfund site, Montgomery County, Pennsylvania","docAbstract":"<p>Groundwater in the vicinity of several industrial facilities in Upper Gwynedd Township and vicinity, Montgomery County, in southeast Pennsylvania has been shown to be contaminated with volatile organic compounds (VOCs), the most common of which is the solvent trichloroethylene (TCE). The 2-square-mile area was placed on the National Priorities List as the North Penn Area 7 Superfund site by the U.S. Environmental Protection Agency (USEPA) in 1989. The U.S. Geological Survey (USGS) conducted geophysical logging, aquifer testing, and water-level monitoring, and measured streamflows in and near North Penn Area 7 from fall 2000 through fall 2006 in a technical assistance study for the USEPA to develop an understanding of the hydrogeologic framework in the area as part of the USEPA Remedial Investigation. In addition, the USGS developed a groundwater-flow computer model based on the hydrogeologic framework to simulate regional groundwater flow and to estimate directions of groundwater flow and pathways of groundwater contaminants. The study area is underlain by Triassic- and Jurassic-age sandstones and shales of the Lockatong Formation and Brunswick Group in the Mesozoic Newark Basin. Regionally, these rocks strike northeast and dip to the northwest. The sequence of rocks form a fractured-sedimentary-rock aquifer that acts as a set of confined to partially confined layers of differing permeabilities. Depth to competent bedrock typically is less than 20 ft below land surface. The aquifer layers are recharged locally by precipitation and discharge locally to streams. The general configuration of the potentiometric surface in the aquifer is similar to topography, except in areas affected by pumping. The headwaters of Wissahickon Creek are nearby, and the stream flows southwest, parallel to strike, to bisect North Penn Area 7. Groundwater is pumped in the vicinity of North Penn Area 7 for industrial use, public supply, and residential supply. Results of field investigations by USGS at the site and results from other studies support, and are consistent with, a conceptual model of a layered leaky aquifer where the dip of the beds has a strong control on hydraulic connections in the groundwater system. Connections within and (or) parallel to bedding tend to be greater than across bedding. Transmissivities of aquifer intervals isolated by packers ranged over three orders of magnitude [from about 2.8 to 2,290 square feet per day (ft<sup>2</sup>/d) or 0.26 to 213 square meters per day (m<sup>2</sup>/d)], did not appear to differ much by mapped geologic unit, but showed some relation to depth being relatively smaller in the shallowest and deepest intervals (0 to 50 ft and more than 250 ft below land surface, respectively) compared to the intermediate depth intervals (50 to 250 ft below land surface) tested. Transmissivities estimated from multiple-observation well aquifer tests ranged from about 700 to 2,300 ft<sup>2</sup>/d (65 to 214 m<sup>2</sup>/d). Results of chemical analyses of water from isolated intervals or monitoring wells open to short sections of the aquifer show vertical differences in concentrations; chloride and silica concentrations generally were greater in shallow intervals than in deeper intervals. Chloride concentrations greater than 100 milligrams per liter (mg/L), combined with distinctive chloride/bromide ratios, indicate a different source of chloride in the western part of North Penn Area 7 than elsewhere in the site. Groundwater flow at a regional scale under steady-state conditions was simulated by use of a numerical model (MODFLOW-2000) for North Penn Area 7 with different layers representing saprolite/highly weathered rock near the surface and unweathered competent bedrock. The sedimentary formations that underlie the study area were modeled using dipping model layers for intermediate and deep zones of unweathered, fractured rock. Horizontal cell model size was 100 meters (m) by 100 meters (328 ft by 328 ft), and model layer thickness ranged from 6 m (19.7 ft) representing shallow weathered rock and saprolite up to 200 m (656 ft) representing deeper dipping bedrock. The model did not include detailed structure to account for local-scale differences in hydraulic properties, with the result that local-scale groundwater flow may not be well simulated. Additional detailed multi-well aquifer tests would be needed to establish the extent of interconnection between intervals at the local scale to address remediation of contamination at each source area. This regional groundwater-flow model was calibrated against measured groundwater levels (1996, 2000, and 2005) and base flow estimated from selected streamflow measurements by use of nonlinear-regression parameter-estimation algorithms to determine hydraulic conductivity and anisotropy of hydraulic conductivity, streambed hydraulic conductivity, and recharge during calibration periods. Results of the simulation using the calibrated regional model indicate that the aquifer appears to be anisotropic where hydraulic conductivity is greatest parallel to the orientation of bedding of the formations underlying the area and least in the cross-bed direction. The maximum hydraulic conductivity is aligned with the average regional strike of the formations, which is &ldquo;subhorizontal&rdquo; in the model because the altitudes of the beds and model cells vary in the strike, as well as dip, direction. Estimated subhorizontal hydraulic conductivities (in strike direction parallel to dipping beds) range from 0.001 to 1.67 meters per day (0.0032 to 5.5 feet per day). The ratio of minimum (dip direction) to maximum (strike direction) subhorizontal hydraulic conductivity ranges from 1/3.1 to 1/8.6, and the ratio of vertical to horizontal hydraulic conductivity ranges from 1/1 to 1/478. However, limited available field data precluded rigorous calibration of vertical anisotropy in the model. Estimated recharge rates corresponding to calibration periods in 1996, 2000, and 2005 are 150, 109, and 124 millimeters per year (5.9, 4.3, and 4.9 inches per year), respectively. The calibrated groundwater-flow model was used to simulate groundwater flow under steady-state conditions during periods of relatively high withdrawals (pumpage) (1990) and relatively low withdrawals (2000 and 2005). Groundwater-flow paths originating from recharge areas near known areas of soil contamination (sources) were simulated. Pumped industrial and production wells captured more groundwater from several of these sources during 1990 than after 1990 when pumping declined or ceased and greater amounts of contaminated groundwater moved away from North Penn Area 7 Superfund site to surrounding areas. Uncertainty in simulated groundwater-flow paths from contaminant sources and contributing areas, resulting from uncertainty in estimated hydraulic properties of the model, was illustrated through Monte Carlo simulations. The effect of uncertainty in the vertical anisotropy was not included in the Monte Carlo simulations. Contributing areas indicating the general configuration of groundwater flow towards production well MG-202 (L-22) in the study area also were simulated for the different time periods; as simulated, the flow paths do not pass through any identified contaminant source in North Penn Area 7. However, contributing areas to wells, such as MG-202, located near many pumped wells are particularly complex and, in some cases, include areas that contribute flow to streams that subsequently recharge the aquifer through stream loss. In these cases, water-quality constituents, including contaminants that are present in surface water may be drawn into the aquifer to nearby pumped wells. Results of a simulated shutdown of well MG-202 under steady-state 2005 conditions showed that the area contributing recharge for nearby production well MG-76 (L-17), when MG-202 is not pumping, shifts downstream and is similar to the area contributing recharge for MG-202 when both wells are pumping. Concentrations of constituents in groundwater samples collected in fall 2005 or spring 2006 were compared to simulated groundwater-flow paths for the year 2005 to provide a qualitative assessment of model results. The observed spatial distribution of selected constituents, including TCE, CFC-11, and CFC-113 in groundwater in 2005 and the chloride/bromide mass ratios in 2006, generally were consistent with the model results of the simulated 2005 groundwater-flow paths at North Penn Area 7, indicating the presence of several separate sources of contaminants within North Penn Area 7.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135045","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Senior, L.A., and Goode, D., 2013, Investigations of groundwater system and simulation of regional groundwater flow for North Penn Area 7 Superfund site, Montgomery County, Pennsylvania (Version 1: Originally posted April 30, 2013; Version 1.1: April 30, 2015): U.S. Geological Survey Scientific Investigations Report 2013-5045, xii, 95 p., https://doi.org/10.3133/sir20135045.","productDescription":"xii, 95 p.","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2006-07-01","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":300001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135045.jpg"},{"id":271689,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5045/"},{"id":271690,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5045/support/sir2013-5045.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 18","datum":"North American Datum of 1927","country":"United States","state":"Pennsylvania","county":"Montgomery","city":"Upper Gwynedd","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.33050537109375,\n              40.17939793281656\n            ],\n            [\n              -75.33050537109375,\n              40.23079086353824\n            ],\n            [\n              -75.23162841796875,\n              40.23079086353824\n            ],\n            [\n              -75.23162841796875,\n              40.17939793281656\n            ],\n            [\n              -75.33050537109375,\n              40.17939793281656\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1: Originally posted April 30, 2013; Version 1.1: April 30, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5543522ee4b0a658d79414af","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173756,"text":"70173756 - 2013 - Incorporating harvest rates into the sex-age-kill model for white-tailed deer","interactions":[],"lastModifiedDate":"2016-06-08T16:14:05","indexId":"70173756","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating harvest rates into the sex-age-kill model for white-tailed deer","docAbstract":"<p><span>Although monitoring population trends is an essential component of game species management, wildlife managers rarely have complete counts of abundance. Often, they rely on population models to monitor population trends. As imperfect representations of real-world populations, models must be rigorously evaluated to be applied appropriately. Previous research has evaluated population models for white-tailed deer (</span><i>Odocoileus virginianus</i><span>); however, the precision and reliability of these models when tested against empirical measures of variability and bias largely is untested. We were able to statistically evaluate the Pennsylvania sex-age-kill (PASAK) population model using realistic error measured using data from 1,131 radiocollared white-tailed deer in Pennsylvania from 2002 to 2008. We used these data and harvest data (number killed, age-sex structure, etc.) to estimate precision of abundance estimates, identify the most efficient harvest data collection with respect to precision of parameter estimates, and evaluate PASAK model robustness to violation of assumptions. Median coefficient of variation (CV) estimates by Wildlife Management Unit, 13.2% in the most recent year, were slightly above benchmarks recommended for managing game species populations. Doubling reporting rates by hunters or doubling the number of deer checked by personnel in the field reduced median CVs to recommended levels. The PASAK model was robust to errors in estimates for adult male harvest rates but was sensitive to errors in subadult male harvest rates, especially in populations with lower harvest rates. In particular, an error in subadult (1.5-yr-old) male harvest rates resulted in the opposite error in subadult male, adult female, and juvenile population estimates. Also, evidence of a greater harvest probability for subadult female deer when compared with adult (&ge;2.5-yr-old) female deer resulted in a 9.5% underestimate of the population using the PASAK model. Because obtaining appropriate sample sizes, by management unit, to estimate harvest rate parameters each year may be too expensive, assumptions of constant annual harvest rates may be necessary. However, if changes in harvest regulations or hunter behavior influence subadult male harvest rates, the PASAK model could provide an unreliable index to population changes.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.486","usgsCitation":"Norton, A.S., Diefenbach, D.R., Rosenberry, C.S., and Wallingford, B.D., 2013, Incorporating harvest rates into the sex-age-kill model for white-tailed deer: Journal of Wildlife Management, v. 77, no. 3, p. 606-615, https://doi.org/10.1002/jwmg.486.","productDescription":"10 p.","startPage":"606","endPage":"615","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031059","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-11","publicationStatus":"PW","scienceBaseUri":"575941ffe4b04f417c2568a4","contributors":{"authors":[{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Christopher S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallingford, Bret D.","contributorId":171632,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638135,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188365,"text":"70188365 - 2013 - Annual modulation of non-volcanic tremor in northern Cascadia","interactions":[],"lastModifiedDate":"2017-06-07T11:42:08","indexId":"70188365","displayToPublicDate":"2013-05-01T00:00:00","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":"Annual modulation of non-volcanic tremor in northern Cascadia","docAbstract":"<p><span>Two catalogs of episodic tremor events in northern Cascadia, one from 2006 to 2012 and the other from 1997 to 2011, reveal two systematic patterns of tremor occurrence in southern Vancouver Island: (1) most individual events tend to occur in the third quarter of the year; (2) the number of events in prolonged episodes (i.e., episodic tremor and slip events), which generally propagate to Vancouver Island from elsewhere along the Cascadia subduction zone, is inversely correlated with the amount of precipitation that occurred in the preceding 2 months. We rationalize these patterns as the product of hydrologic loading of the crust of southern Vancouver Island and the surrounding continental region, superimposed with annual variations from oceanic tidal loading. Loading of the Vancouver Island crust in the winter (when the land surface receives ample precipitation) and unloading in the summer tends to inhibit and enhance downdip shear stress, respectively. Quantitatively, for an annually variable surface load, the predicted stress perturbation depends on mantle viscoelastic rheology. A mechanical model of downdip shear stress on the transition zone beneath Vancouver Island—driven predominantly by the annual hydrologic cycle—is consistent with the 1997–2012 tremor observations, with peak-to-peak downdip shear stress of about 0.4 kPa. This seasonal dependence of tremor occurrence appears to be restricted to southern Vancouver Island because of its unique situation as an elongated narrow-width land mass surrounded by ocean, which permits seasonal perturbations in shear stress at depth.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/jgrb.50181","usgsCitation":"Pollitz, F., Wech, A.G., Kao, H., and Burgmann, R., 2013, Annual modulation of non-volcanic tremor in northern Cascadia: Journal of Geophysical Research B: Solid Earth, v. 118, no. 5, p. 2445-2459, https://doi.org/10.1002/jgrb.50181.","productDescription":"15 p.","startPage":"2445","endPage":"2459","ipdsId":"IP-045029","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50181","text":"Publisher Index Page"},{"id":342223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -128.5400390625,\n              46.28622391806706\n            ],\n            [\n              -121.1572265625,\n              46.28622391806706\n            ],\n            [\n              -121.1572265625,\n              50.958426723359935\n            ],\n            [\n              -128.5400390625,\n              50.958426723359935\n            ],\n            [\n              -128.5400390625,\n              46.28622391806706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"593910b4e4b0764e6c5e88e6","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":697411,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kao, Honn","contributorId":105419,"corporation":false,"usgs":true,"family":"Kao","given":"Honn","email":"","affiliations":[],"preferred":false,"id":697412,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burgmann, Roland","contributorId":192700,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":697413,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70188334,"text":"70188334 - 2013 - Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska","interactions":[],"lastModifiedDate":"2017-06-06T13:43:15","indexId":"70188334","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska","docAbstract":"<p><span>Land surface change caused by fires and succession is confounded by many site-specific factors and requires further study. The objective of this study was to reveal the spatially explicit land surface change by minimizing the confounding factors of weather variability, seasonal offset, topography, land cover, and drainage. In a pilot study of the Yukon River Basin of interior Alaska, we retrieved Normalized Difference Vegetation Index (NDVI), albedo, and land surface temperature (LST) from a postfire Landsat image acquired on August 5th, 2004. With a Landsat reference image acquired on June 26th, 1986, we reconstructed NDVI, albedo, and LST of 1987–2004 fire scars for August 5th, 2004, assuming that these fires had not occurred. The difference between actual postfire and assuming-no-fire scenarios depicted the fires and succession impact. Our results demonstrated the following: (1) NDVI showed an immediate decrease after burning but gradually recovered to prefire levels in the following years, in which burn severity might play an important role during this process; (2) Albedo showed an immediate decrease after burning but then recovered and became higher than prefire levels; and (3) Most fires caused surface warming, but cooler surfaces did exist; time-since-fire affected the prefire and postfire LST difference but no absolute trend could be found. Our approach provided spatially explicit land surface change rather than average condition, enabling a better understanding of fires and succession impact on ecological consequences at the pixel level.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2013.02.010","usgsCitation":"Huang, S., Jin, S., Dahal, D., Chen, X., Young, C., Liu, H., and Liu, S., 2013, Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska: ISPRS Journal of Photogrammetry and Remote Sensing, v. 79, p. 94-105, https://doi.org/10.1016/j.isprsjprs.2013.02.010.","productDescription":"12 p.","startPage":"94","endPage":"105","ipdsId":"IP-039018","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":342155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf30e4b0f6c2d0d9c78f","contributors":{"authors":[{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":697254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jin, Suming 0000-0001-9919-8077 sjin@usgs.gov","orcid":"https://orcid.org/0000-0001-9919-8077","contributorId":4397,"corporation":false,"usgs":true,"family":"Jin","given":"Suming","email":"sjin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":192023,"corporation":false,"usgs":false,"family":"Dahal","given":"Devendra","affiliations":[],"preferred":false,"id":697258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":697279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Claudia 0000-0002-0859-7206 claudia.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":191382,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"claudia.young.ctr@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Heping","contributorId":192024,"corporation":false,"usgs":false,"family":"Liu","given":"Heping","email":"","affiliations":[],"preferred":false,"id":697259,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697256,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045741,"text":"sir20135024 - 2013 - Estimated rates of groundwater recharge to the Chicot, Evangeline and Jasper aquifers by using environmental tracers in Montgomery and adjacent counties, Texas, 2008 and 2011","interactions":[],"lastModifiedDate":"2016-08-05T14:04:03","indexId":"sir20135024","displayToPublicDate":"2013-05-01T00:00:00","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":"2013-5024","title":"Estimated rates of groundwater recharge to the Chicot, Evangeline and Jasper aquifers by using environmental tracers in Montgomery and adjacent counties, Texas, 2008 and 2011","docAbstract":"<p>Montgomery County is in the northern part of the Houston, Texas, metropolitan area, the fourth most populous metropolitan area in the United States. As populations have increased since the 1980s, groundwater has become an important resource for public-water supply and industry in the rapidly growing area of Montgomery County. Groundwater availability from the Gulf Coast aquifer system is a primary concern for water managers and community planners in Montgomery County and requires a better understanding of the rate of recharge to the system. The Gulf Coast aquifer system in Montgomery County consists of the Chicot, Evangeline, and Jasper aquifers, the Burkeville confining unit, and underlying Catahoula confining system. The individual sand and clay sequences of the aquifers composing the Gulf Coast aquifer system are not laterally or vertically continuous on a regional scale; however, on a local scale, individual sand and clay lenses can extend over several miles. The U.S. Geological Survey, in cooperation with the Lone Star Groundwater Conservation District, collected groundwater-quality samples from selected wells within or near Montgomery County in 2008 and analyzed these samples for concentrations of chlorofluorocarbons (CFCs), sulfur hexafluoride (SF<sub>6</sub>), tritium (3H), helium-3/tritium (<sup>3</sup>He/<sup>3</sup>H), helium-4 (<sup>4</sup>He), and dissolved gases (DG) that include argon, carbon dioxide, methane, nitrogen and oxygen. Groundwater ages, or apparent age, representing residence times since time of recharge, were determined by using the assumption of a piston-flow transport model. Most of the environmental tracer data indicated the groundwater was recharged prior to the 1950s, limiting the usefulness of CFCs, SF<sub>6</sub>, and <sup>3</sup>H concentrations as tracers. In many cases, no tracer was usable at a well for the purpose of estimating an apparent age. Wells not usable for estimating an apparent age were resampled in 2011 and analyzed for concentrations of major ions and carbon-14 (<sup>14</sup>C). At six of these wells, additional <sup>4</sup>He and DG samples were collected and analyzed.</p>\n<p>Recharge rates estimated from environmental tracer data are dependent upon several hydrogeologic variables and have inherent uncertainties. By using the recharge estimates derived from samples collected from 14 wells completed in the Chicot aquifer for which apparent groundwater ages could be determined, recharge to the Chicot aquifer ranged from 0.2 to 7.2 inches (in.) per year (yr). Based on data from one well, estimated recharge to the unconfined zone of the Evangeline aquifer (outcrop) was 0.1 in./yr. Based on data collected from eight wells, estimated rates of recharge to the confined zone of the Evangeline aquifer ranged from less than 0.1 to 2.8 in./yr. Based on data from one well, estimated recharge to the unconfined zone of the Jasper aquifer (outcrop) was 0.5 in./yr. Based on data collected from nine wells, estimated rates of recharge to the confined zone of the Jasper aquifer ranged from less than 0.1 to 0.1 in./yr. The complexity of the hydrogeology in the area, uncertainty in the conceptual model, and numerical assumptions required in the determination of the recharge rates all pose limitations and need to be considered when evaluating these data on a countywide or regional scale. The estimated recharge rates calculated for this study are specific to each well location and should not be extrapolated or inferred as a countywide average. Local variations in the hydrogeology and surficial conditions can affect the recharge rate at a local scale.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135024","collaboration":"Prepared in cooperation with the Lone Star Groundwater Conservation District","usgsCitation":"Oden, T., and Truini, M., 2013, Estimated rates of groundwater recharge to the Chicot, Evangeline and Jasper aquifers by using environmental tracers in Montgomery and adjacent counties, Texas, 2008 and 2011: U.S. Geological Survey Scientific Investigations Report 2013-5024, Document: viii, 50 p.; Appendixes 1-5, https://doi.org/10.3133/sir20135024.","productDescription":"Document: viii, 50 p.; Appendixes 1-5","numberOfPages":"61","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042849","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":271699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135024.gif"},{"id":271693,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5024/SIR2013-5024.pdf"},{"id":271694,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%202.xlsx","text":"Appendix 2"},{"id":271695,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%201.xlsx","text":"Appendix 1"},{"id":271692,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5024/"},{"id":271696,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%203.pdf","text":"Appendix 3"},{"id":271697,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%204.xlsx","text":"Appendix 4"},{"id":271698,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%205.xlsx","text":"Appendix 5"}],"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":"51822b53e4b04bbc6ead26f6","contributors":{"authors":[{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":478225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Truini, Margot mtruini@usgs.gov","contributorId":599,"corporation":false,"usgs":true,"family":"Truini","given":"Margot","email":"mtruini@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70134601,"text":"70134601 - 2013 - Method- and species-specific detection probabilities of fish occupancy in Arctic lakes: Implications for design and management","interactions":[],"lastModifiedDate":"2014-12-03T11:04:32","indexId":"70134601","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Method- and species-specific detection probabilities of fish occupancy in Arctic lakes: Implications for design and management","docAbstract":"<p>Studies examining species occurrence often fail to account for false absences in field sampling. We investigate detection probabilities of five gear types for six fish species in a sample of lakes on the North Slope, Alaska. We used an occupancy modeling approach to provide estimates of detection probabilities for each method. Variation in gear- and species-specific detection probability was considerable. For example, detection probabilities for the fyke net ranged from 0.82 (SE = 0.05) for least cisco (<em>Coregonus sardinella</em>) to 0.04 (SE = 0.01) for slimy sculpin (<em>Cottus cognatus</em>). Detection probabilities were also affected by site-specific variables such as depth of the lake, year, day of sampling, and lake connection to a stream. With the exception of the dip net and shore minnow traps, each gear type provided the highest detection probability of at least one species. Results suggest that a multimethod approach may be most effective when attempting to sample the entire fish community of Arctic lakes. Detection probability estimates will be useful for designing optimal fish sampling and monitoring protocols in Arctic lakes.</p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2012-0527","usgsCitation":"Haynes, T.B., Rosenberger, A.E., Lindberg, M., Whitman, M., and Schmutz, J.A., 2013, Method- and species-specific detection probabilities of fish occupancy in Arctic lakes: Implications for design and management: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 7, p. 1055-1062, https://doi.org/10.1139/cjfas-2012-0527.","productDescription":"8 p.","startPage":"1055","endPage":"1062","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045099","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.328125,\n              71.63599288330606\n            ],\n            [\n              -141.6796875,\n              58.81374171570782\n            ],\n            [\n              -178.2421875,\n              50.62507306341435\n            ],\n            [\n              -165.76171875,\n              71.69129271863999\n            ],\n            [\n              -141.328125,\n              71.63599288330606\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"70","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54803428e4b0ac64d148dceb","contributors":{"authors":[{"text":"Haynes, Trevor B.","contributorId":100302,"corporation":false,"usgs":false,"family":"Haynes","given":"Trevor","email":"","middleInitial":"B.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":526253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Matthew","contributorId":19257,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","affiliations":[],"preferred":false,"id":526255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526221,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045695,"text":"ofr20131063 - 2013 - Air temperature, wind speed, and wind direction in the National Petroleum Reserve—Alaska and the Arctic National Wildlife Refuge, 1998–2011","interactions":[],"lastModifiedDate":"2013-04-30T08:37:02","indexId":"ofr20131063","displayToPublicDate":"2013-04-30T00:00:00","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":"2013-1063","title":"Air temperature, wind speed, and wind direction in the National Petroleum Reserve—Alaska and the Arctic National Wildlife Refuge, 1998–2011","docAbstract":"This report provides air temperature, wind speed, and wind direction data collected on Federal lands in Arctic Alaska over the period August 1998 to July 2011 by the U.S. Department of the Interior's climate monitoring array, part of the Global Terrestrial Network for Permafrost. In addition to presenting data, this report also describes monitoring, data collection, and quality control methodology. This array of 16 monitoring stations spans 68.5°N to 70.5°N and 142.5°W to 161°W, an area of roughly 150,000 square kilometers. Climate summaries are presented along with provisional quality-controlled data. Data collection is ongoing and includes several additional climate variables to be released in subsequent reports, including ground temperature and soil moisture, snow depth, rainfall, up- and downwelling shortwave radiation, and atmospheric pressure. These data were collected by the U.S. Geological Survey in close collaboration with the Bureau of Land Management and the U.S. Fish and Wildlife Service.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131063","usgsCitation":"Urban, F., and Clow, G.D., 2013, Air temperature, wind speed, and wind direction in the National Petroleum Reserve—Alaska and the Arctic National Wildlife Refuge, 1998–2011: U.S. Geological Survey Open-File Report 2013-1063, HTML Document:  Introduction/main text; Tunalik; Umiat; Inigok; Koluktak; Lake 145; Marsh Creek; Niquanak; Piksiksak; Red Sheep Creek; South Meade; Awuana 1; Awuana 2; Camden Bay; Drew Point; East Teshekpuk; Fish Creek; Ikpikpuk, https://doi.org/10.3133/ofr20131063.","productDescription":"HTML Document:  Introduction/main text; Tunalik; Umiat; Inigok; Koluktak; Lake 145; Marsh Creek; Niquanak; Piksiksak; Red Sheep Creek; South Meade; Awuana 1; Awuana 2; Camden Bay; Drew Point; East Teshekpuk; Fish Creek; Ikpikpuk","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":271620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131063.jpg"},{"id":271619,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1063/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015,0.0016666666666666668 ], [ -0.015,0.0019444444444444444 ], [ -0.015833333333333335,0.0019444444444444444 ], [ -0.015833333333333335,0.0016666666666666668 ], [ -0.015,0.0016666666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180d9cfe4b0df838b924d21","contributors":{"authors":[{"text":"Urban, Frank E. 0000-0002-1329-1703","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":80918,"corporation":false,"usgs":true,"family":"Urban","given":"Frank E.","affiliations":[],"preferred":false,"id":478060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":478059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045710,"text":"ofr20131051 - 2013 - Water temperature and baseflow discharge of streams throughout the range of Rio Grande cutthroat trout in Colorado and New Mexico—2010 and 2011","interactions":[],"lastModifiedDate":"2013-04-30T12:29:30","indexId":"ofr20131051","displayToPublicDate":"2013-04-30T00:00:00","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":"2013-1051","title":"Water temperature and baseflow discharge of streams throughout the range of Rio Grande cutthroat trout in Colorado and New Mexico—2010 and 2011","docAbstract":"This study characterized the thermal regime in a number of Colorado and New Mexico streams that contain populations of Rio Grande cutthroat trout (Oncorhynchus clarkii virginalis) and had no previous record of continual temperature records. When compared to Colorado’s water temperature criteria (Cold Tier 1), a portion of these populations appeared to be at risk from elevated stream temperatures, as indicated by exceedance of both acute (17–22 percent) and chronic (2–9 percent) water quality metrics. Summer water temperature profiles recorded at sites within current Rio Grande cutthroat trout habitat indicated that although the majority of currently occupied conservation streams have temperatures that fall well below these biologically based acute and chronic thermal thresholds, several sites may be at or approaching water temperatures considered stressful to cutthroat trout. Further, water temperatures should be considered in decisions regarding the current and future thermal suitability of potential Rio Grande cutthroat trout restoration sites. Additionally, baseflow discharge sampling indicated that a majority of the sampled stream segments containing Rio Grande cutthroat trout have flows less than 1.0 cubic feet per second (cfs) in both 2010 (74 percent) and 2011 (77 percent). The relative drought sensitivity of these low baseflow streams containing Rio Grande cutthroat trout could be further evaluated to assess their probable sustainability under possible future drought conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131051","usgsCitation":"Zeigler, M., Todd, A., and Caldwell, C.A., 2013, Water temperature and baseflow discharge of streams throughout the range of Rio Grande cutthroat trout in Colorado and New Mexico—2010 and 2011: U.S. Geological Survey Open-File Report 2013-1051, Report: vi, 19 p.; Appendix A: Monitoring Site Data for Rio Grande Cutthroat Trout Populations Part 1 and Part 2 PDFs, https://doi.org/10.3133/ofr20131051.","productDescription":"Report: vi, 19 p.; Appendix A: Monitoring Site Data for Rio Grande Cutthroat Trout Populations Part 1 and Part 2 PDFs","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":271663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131051.gif"},{"id":271661,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1051/Appendix%20A_1.pdf"},{"id":271659,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1051/"},{"id":271662,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1051/Appendix%20A_2.pdf"},{"id":271660,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1051/ofr2013-1051.pdf"}],"country":"United States","state":"Colorado;New Mexico;Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180d9dde4b0df838b924d3d","contributors":{"authors":[{"text":"Zeigler, Matthew P.","contributorId":44401,"corporation":false,"usgs":true,"family":"Zeigler","given":"Matthew P.","affiliations":[],"preferred":false,"id":478154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":478153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045704,"text":"ofr20131052 - 2013 - Total nutrient and sediment loads, trends, yields, and nontidal water-quality indicators for selected nontidal stations, Chesapeake Bay Watershed, 1985–2011","interactions":[],"lastModifiedDate":"2021-07-06T23:03:48.555439","indexId":"ofr20131052","displayToPublicDate":"2013-04-30T00:00:00","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":"2013-1052","title":"Total nutrient and sediment loads, trends, yields, and nontidal water-quality indicators for selected nontidal stations, Chesapeake Bay Watershed, 1985–2011","docAbstract":"The U.S. Geological Survey, in cooperation with Chesapeake Bay Program (CBP) partners, routinely reports long-term concentration trends and monthly and annual constituent loads for stream water-quality monitoring stations across the Chesapeake Bay watershed. This report documents flow-adjusted trends in sediment and total nitrogen and phosphorus concentrations for 31 stations in the years 1985–2011 and for 32 stations in the years 2002–2011. Sediment and total nitrogen and phosphorus yields for 65 stations are presented for the years 2006–2011. A combined nontidal water-quality indicator (based on both trends and yields) indicates there are more stations classified as “improving water-quality trend and a low yield” than “degrading water-quality trend and a high yield” for total nitrogen. The same type of 2-way classification for total phosphorus and sediment results in equal numbers of stations in each indicator class.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131052","usgsCitation":"Langland, M.J., Blomquist, J., Moyer, D., Hyer, K., and Chanat, J.G., 2013, Total nutrient and sediment loads, trends, yields, and nontidal water-quality indicators for selected nontidal stations, Chesapeake Bay Watershed, 1985–2011: U.S. Geological Survey Open-File Report 2013-1052, iv, 54 p., https://doi.org/10.3133/ofr20131052.","productDescription":"iv, 54 p.","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyer, Kenneth kenhyer@usgs.gov","contributorId":2701,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 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,{"id":70045697,"text":"sir20135042 - 2013 - Simulation of groundwater flow, effects of artificial recharge, and storage volume changes in the Equus Beds aquifer near the city of Wichita, Kansas well field, 1935–2008","interactions":[],"lastModifiedDate":"2013-04-30T10:39:05","indexId":"sir20135042","displayToPublicDate":"2013-04-30T00:00:00","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":"2013-5042","title":"Simulation of groundwater flow, effects of artificial recharge, and storage volume changes in the Equus Beds aquifer near the city of Wichita, Kansas well field, 1935–2008","docAbstract":"The Equus Beds aquifer is a primary water-supply source for Wichita, Kansas and the surrounding area because of shallow depth to water, large saturated thickness, and generally good water quality. Substantial water-level declines in the Equus Beds aquifer have resulted from pumping groundwater for agricultural and municipal needs, as well as periodic drought conditions. In March 2006, the city of Wichita began construction of the Equus Beds Aquifer Storage and Recovery project to store and later recover groundwater, and to form a hydraulic barrier to the known chloride-brine plume near Burrton, Kansas. In October 2009, the U.S. Geological Survey, in cooperation with the city of Wichita, began a study to determine groundwater flow in the area of the Wichita well field, and chloride transport from the Arkansas River and Burrton oilfield to the Wichita well field.  Groundwater flow was simulated for the Equus Beds aquifer using the three-dimensional finite-difference groundwater-flow model MODFLOW-2000. The model simulates steady-state and transient conditions. The groundwater-flow model was calibrated by adjusting model input data and model geometry until model results matched field observations within an acceptable level of accuracy. The root mean square (RMS) error for water-level observations for the steady-state calibration simulation is 9.82 feet. The ratio of the RMS error to the total head loss in the model area is 0.049 and the mean error for water-level observations is 3.86 feet. The difference between flow into the model and flow out of the model across all model boundaries is -0.08 percent of total flow for the steady-state calibration. The RMS error for water-level observations for the transient calibration simulation is 2.48 feet, the ratio of the RMS error to the total head loss in the model area is 0.0124, and the mean error for water-level observations is 0.03 feet. The RMS error calculated for observed and simulated base flow gains or losses for the Arkansas River for the transient simulation is 7,916,564 cubic feet per day (91.6 cubic feet per second) and the RMS error divided by (/) the total range in streamflow (7,916,564/37,461,669 cubic feet per day) is 22 percent. The RMS error calculated for observed and simulated streamflow gains or losses for the Little Arkansas River for the transient simulation is 5,610,089 cubic feet per day(64.9 cubic feet per second) and the RMS error divided by the total range in streamflow (5,612,918/41,791,091 cubic feet per day) is 13 percent. The mean error between observed and simulated base flow gains or losses was 29,999 cubic feet per day (0.34 cubic feet per second) for the Arkansas River and -1,369,250 cubic feet per day (-15.8 cubic feet per second) for the Little Arkansas River. Cumulative streamflow gain and loss observations are similar to the cumulative simulated equivalents. Average percent mass balance difference for individual stress periods ranged from -0.46 to 0.51 percent. The cumulative mass balance for the transient calibration was 0.01 percent.  Composite scaled sensitivities indicate the simulations are most sensitive to parameters with a large areal distribution. For the steady-state calibration, these parameters include recharge, hydraulic conductivity, and vertical conductance. For the transient simulation, these parameters include evapotranspiration, recharge, and hydraulic conductivity.  The ability of the calibrated model to account for the additional groundwater recharged to the Equus Beds aquifer as part of the Aquifer Storage and Recovery project was assessed by using the U.S. Geological Survey subregional water budget program ZONEBUDGET and comparing those results to metered recharge for 2007 and 2008 and previous estimates of artificial recharge. The change in storage between simulations is the volume of water that estimates the recharge credit for the aquifer storage and recovery system.  The estimated increase in storage of 1,607 acre-ft in the basin storage area compared to metered recharge of 1,796 acre-ft indicates some loss of metered recharge. Increased storage outside of the basin storage area of 183 acre-ft accounts for all but 6 acre-ft or 0.33 percent of the total. Previously estimated recharge credits for 2007 and 2008 are 1,018 and 600 acre-ft, respectively, and a total estimated recharge credit of 1,618 acre-ft. Storage changes calculated for this study are 4.42 percent less for 2007 and 5.67 percent more for 2008 than previous estimates. Total storage change for 2007 and 2008 is 0.68 percent less than previous estimates. The small difference between the increase in storage from artificial recharge estimated with the groundwater-flow model and metered recharge indicates the groundwater model correctly accounts for the additional water recharged to the Equus Beds aquifer as part of the Aquifer Storage and Recovery project. Small percent differences between inflows and outflows for all stress periods and all index cells in the basin storage area, improved calibration compared to the previous model, and a reasonable match between simulated and measured long-term base flow indicates the groundwater model accurately simulates groundwater flow in the study area.  The change in groundwater level through recent years compared to the August 1940 groundwater level map has been documented and used to assess the change of storage volume of the Equus Beds aquifer in and near the Wichita well field for three different areas. Two methods were used to estimate changes in storage from simulation results using simulated change in groundwater levels in layer 1 between stress periods, and using ZONEBUDGET to calculate the change in storage in the same way the effects of artificial recharge were estimated within the basin storage area. The three methods indicate similar trends although the magnitude of storage changes differ.  Information about the change in storage in response to hydrologic stresses is important for managing groundwater resources in the study area. The comparison between the three methods indicates similar storage change trends are estimated and each could be used to determine relative increases or decreases in storage. Use of groundwater level changes that do not include storage changes that occur in confined or semi-confined parts of the aquifer will slightly underestimate storage changes; however, use of specific yield and groundwater level changes to estimate storage change in confined or semi-confined parts of the aquifer will overestimate storage changes. Using only changes in shallow groundwater levels would provide more accurate storage change estimates for the measured groundwater levels method.  The value used for specific yield is also an important consideration when estimating storage. For the Equus Beds aquifer the reported specific yield ranges between 0.08 and 0.35 and the storage coefficient (for confined conditions) ranges between 0.0004 and 0.16. Considering the importance of the value of specific yield and storage coefficient to estimates of storage change over time, and the wide range and substantial overlap for the reported values for specific yield and storage coefficient in the study area, further information on the distribution of specific yield and storage coefficient within the Equus Beds aquifer in the study area would greatly enhance the accuracy of estimated storage changes using both simulated groundwater level, simulated groundwater budget, or measured groundwater level methods.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135042","collaboration":"Prepared in cooperation with the city of Wichita, Kansas, as part of the Equus Beds Groundwater Recharge Project","usgsCitation":"Kelly, B.P., Pickett, L.L., Hansen, C.V., and Ziegler, A., 2013, Simulation of groundwater flow, effects of artificial recharge, and storage volume changes in the Equus Beds aquifer near the city of Wichita, Kansas well field, 1935–2008: U.S. Geological Survey Scientific Investigations Report 2013-5042, Report: viii, 92 p.; Downloads Directory, https://doi.org/10.3133/sir20135042.","productDescription":"Report: viii, 92 p.; Downloads Directory","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042806","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":271633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135042.gif"},{"id":271632,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5042/downloads/"},{"id":271630,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5042/"},{"id":271631,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5042/sir2013-5042.pdf"}],"country":"United States","state":"Kansas","city":"Wichita","otherGeospatial":"Equus Beds Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.3,37.6 ], [ -98.3,38.05 ], [ -97.16,38.05 ], [ -97.16,37.6 ], [ -98.3,37.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180d9dce4b0df838b924d35","contributors":{"authors":[{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":478069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pickett, Linda L.","contributorId":108377,"corporation":false,"usgs":true,"family":"Pickett","given":"Linda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Cristi V. chansen@usgs.gov","contributorId":435,"corporation":false,"usgs":true,"family":"Hansen","given":"Cristi","email":"chansen@usgs.gov","middleInitial":"V.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":478068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":478067,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045702,"text":"ofr20131099 - 2013 - Differential expression profiles of microRNA in the little brown bat (Myotis lucifugus) associated with white nose syndrome affected and unaffected individuals","interactions":[],"lastModifiedDate":"2024-03-04T18:46:56.883032","indexId":"ofr20131099","displayToPublicDate":"2013-04-30T00:00:00","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":"2013-1099","title":"Differential expression profiles of microRNA in the little brown bat (Myotis lucifugus) associated with white nose syndrome affected and unaffected individuals","docAbstract":"First documented in New York State in 2006, white nose syndrome (WNS) quickly became the leading cause of mortality in hibernating bat species in the United States. WNS is caused by a psychrophilic fungus, Geomyces destructans. Clinical signs of this pathogen are expressed as a dusty white fungus predominately around the nose and on the wings of affected bats. Relatively new biomarkers, such as microRNAs (miRNAs) are being targeted as markers to predict the syndrome prior to the clinical manifestation. The primary objective of this study was to identify miRNAs that could serve as biomarkers and proxies of little brown bat health. Bats were collected from hibernacula that had tested positive and negative for WNS. Genetic sequencing was completed using the Ion Torrent platform. A number of miRNAs were identified from the liver as putative biomarkers of WNS. However, given the small sample size for each treatment, this data set has only coarsely identified miRNAs indicative of WNS, and further validation is required.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131099","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Iwanowicz, D., Iwanowicz, L., Hitt, N., and King, T., 2013, Differential expression profiles of microRNA in the little brown bat (Myotis lucifugus) associated with white nose syndrome affected and unaffected individuals: U.S. Geological Survey Open-File Report 2013-1099, iv, 11 p., https://doi.org/10.3133/ofr20131099.","productDescription":"iv, 11 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":271636,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131099.png"},{"id":271635,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1099/pdf/ofr2013-1099.pdf"},{"id":271634,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1099/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180d9dae4b0df838b924d2d","contributors":{"authors":[{"text":"Iwanowicz, D.D.","contributorId":97706,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":478098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, L. R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":43864,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"L. R.","affiliations":[],"preferred":false,"id":478096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, N.P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":101466,"corporation":false,"usgs":true,"family":"Hitt","given":"N.P.","affiliations":[],"preferred":false,"id":478099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, T.L.","contributorId":93416,"corporation":false,"usgs":true,"family":"King","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":478097,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189221,"text":"70189221 - 2013 - Community-based water-quality monitoring in the Yukon River Basin and the Kuskokwim Watershed","interactions":[],"lastModifiedDate":"2017-07-07T09:44:47","indexId":"70189221","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5452,"text":"Witness the Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Community-based water-quality monitoring in the Yukon River Basin and the Kuskokwim Watershed","docAbstract":"The unique partnership between the USGS and the YRITWC provides mutual benefits by fostering outreach efforts that have been essential for community empowerment and by generating scientific data for prohibitively large and remote regions that would be challenging for USGS scientists to sample as robustly alone. 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,{"id":70045698,"text":"ofr20131094 - 2013 - Input-form data for the U.S. Geological Survey assessment of the Devonian and Mississippian Bakken and Devonian Three Forks Formations of the U.S. Williston Basin Province, 2013","interactions":[],"lastModifiedDate":"2018-01-08T13:20:41","indexId":"ofr20131094","displayToPublicDate":"2013-04-30T00:00:00","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":"2013-1094","title":"Input-form data for the U.S. Geological Survey assessment of the Devonian and Mississippian Bakken and Devonian Three Forks Formations of the U.S. Williston Basin Province, 2013","docAbstract":"In 2013, the U.S. Geological Survey assessed the technically recoverable oil and gas resources of the Bakken and Three Forks Formations of the U.S. portion of the Williston Basin. The Bakken and Three Forks Formations were assessed as continuous and hypothetical conventional oil accumulations using a methodology similar to that used in the assessment of other continuous- and conventional-type assessment units throughout the United States. The purpose of this report is to provide supplemental documentation and information used in the Bakken-Three Forks assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131094","usgsCitation":"U.S. Geological Survey Bakken-Three Forks Assessment Team, Gaswirth, S., Marra, K.R., Cook, T.A., Charpentier, R., Gautier, D.L., Higley, D.K., Klett, T., Lewan, M., Lillis, P.G., Schenk, C.J., Tennyson, M., and Whidden, K.J., 2013, Input-form data for the U.S. Geological Survey assessment of the Devonian and Mississippian Bakken and Devonian Three Forks Formations of the U.S. Williston Basin Province, 2013: U.S. Geological Survey Open-File Report 2013-1094, iii, 70 p., https://doi.org/10.3133/ofr20131094.","productDescription":"iii, 70 p.","numberOfPages":"73","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science 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,{"id":70045699,"text":"fs20133013 - 2013 - Assessment of undiscovered oil resources in the Bakken and Three Forks Formations, Williston Basin Province, Montana, North Dakota, and South Dakota, 2013","interactions":[{"subject":{"id":81090,"text":"fs20083021 - 2008 - Assessment of Undiscovered Oil Resources in the Devonian-Mississippian Bakken Formation, Williston Basin Province, Montana and North Dakota, 2008","indexId":"fs20083021","publicationYear":"2008","noYear":false,"title":"Assessment of Undiscovered Oil Resources in the Devonian-Mississippian Bakken Formation, Williston Basin Province, Montana and North Dakota, 2008"},"predicate":"SUPERSEDED_BY","object":{"id":70045699,"text":"fs20133013 - 2013 - Assessment of undiscovered oil resources in the Bakken and Three Forks Formations, Williston Basin Province, Montana, North Dakota, and South Dakota, 2013","indexId":"fs20133013","publicationYear":"2013","noYear":false,"title":"Assessment of undiscovered oil resources in the Bakken and 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Formations in the Williston Basin Province of Montana, North Dakota, and South Dakota.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133013","collaboration":"National Assessment of Oil and Gas Fact Sheet","usgsCitation":"Gaswirth, S., Marra, K.R., Cook, T.A., Charpentier, R., Gautier, D.L., Higley, D.K., Klett, T., Lewan, M., Lillis, P.G., Schenk, C.J., Tennyson, M., and Whidden, K.J., 2013, Assessment of undiscovered oil resources in the Bakken and Three Forks Formations, Williston Basin Province, Montana, North Dakota, and South Dakota, 2013: U.S. Geological Survey Fact Sheet 2013-3013, 4 p., https://doi.org/10.3133/fs20133013.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":164,"text":"Central Energy Resources Science 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,{"id":70045675,"text":"ofr20131091 - 2013 - Review of selected global mineral industries in 2011 and an outlook to 2017","interactions":[],"lastModifiedDate":"2013-04-29T13:51:07","indexId":"ofr20131091","displayToPublicDate":"2013-04-29T00:00:00","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":"2013-1091","title":"Review of selected global mineral industries in 2011 and an outlook to 2017","docAbstract":"This report reviews the world production of selected mineral commodities in 2011 and includes output projections (based on planned capacity expansions) through 2017. It also includes brief discussions of several issues that are of importance to the mineral sector, including the world economy, the availability of strategic minerals, significant company mergers and acquisitions in 2011, exploration investment made during the year, and the moves towards resource nationalization and expropriation of mineral assets by national Governments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131091","usgsCitation":"Menzie, W.D., Soto-Viruet, Y., Bermudez-Lugo, O., Mobbs, P.M., Perez, A., Taib, M., Wacaster, S., and Staff, 2013, Review of selected global mineral industries in 2011 and an outlook to 2017: U.S. Geological Survey Open-File Report 2013-1091, iv, 33 p., https://doi.org/10.3133/ofr20131091.","productDescription":"iv, 33 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2017-12-31","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131091.gif"},{"id":271616,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1091/"},{"id":271617,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1091/OFR2013-1091.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f8857e4b0e41721f7a324","contributors":{"authors":[{"text":"Menzie, W. David","contributorId":15645,"corporation":false,"usgs":true,"family":"Menzie","given":"W.","email":"","middleInitial":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":478027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soto-Viruet, Yadira ysoto-viruet@usgs.gov","contributorId":500,"corporation":false,"usgs":true,"family":"Soto-Viruet","given":"Yadira","email":"ysoto-viruet@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":478025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bermudez-Lugo, Omayra obermude@usgs.gov","contributorId":60519,"corporation":false,"usgs":true,"family":"Bermudez-Lugo","given":"Omayra","email":"obermude@usgs.gov","affiliations":[],"preferred":false,"id":478031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mobbs, Philip M. pmobbs@usgs.gov","contributorId":5108,"corporation":false,"usgs":true,"family":"Mobbs","given":"Philip","email":"pmobbs@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":478026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Alberto Alexander","contributorId":23417,"corporation":false,"usgs":true,"family":"Perez","given":"Alberto Alexander","affiliations":[],"preferred":false,"id":478028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taib, Mowafa","contributorId":56536,"corporation":false,"usgs":true,"family":"Taib","given":"Mowafa","email":"","affiliations":[],"preferred":false,"id":478030,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wacaster, Susan","contributorId":25059,"corporation":false,"usgs":true,"family":"Wacaster","given":"Susan","affiliations":[],"preferred":false,"id":478029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Staff","contributorId":128191,"corporation":true,"usgs":false,"organization":"Staff","id":535488,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70045674,"text":"sir20125290 - 2013 - Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine","interactions":[],"lastModifiedDate":"2013-04-29T13:35:29","indexId":"sir20125290","displayToPublicDate":"2013-04-29T00:00:00","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":"2012-5290","title":"Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine","docAbstract":"Salt marshes are ecosystems that provide many important ecological functions in the Gulf of Maine. The U.S. Geological Survey investigated salt marshes in and around Acadia National Park from Penobscot Bay to the Schoodic Peninsula to map the potential for landward migration of marshes using a static inundation model of a sea-level rise scenario of 60 centimeters (cm; 2 feet). The resulting inundation contours can be used by resource managers to proactively adapt to sea-level rise by identifying and targeting low-lying coastal areas adjacent to salt marshes for conservation or further investigation, and to identify risks to infrastructure in the coastal zone. For this study, the mapping of static inundation was based on digital elevation models derived from light detection and ranging (LiDAR) topographic data collected in October 2010. Land-surveyed control points were used to evaluate the accuracy of the LiDAR data in the study area, yielding a root mean square error of 11.3 cm. An independent accuracy assessment of the LiDAR data specific to salt-marsh land surfaces indicated a root mean square error of 13.3 cm and 95-percent confidence interval of  &plusmn; 26.0 cm. LiDAR-derived digital elevation models and digital color aerial photography, taken during low tide conditions in 2008, with a pixel resolution of 0.5 meters, were used to identify the highest elevation of the land surface at each salt marsh in the study area. Inundation contours for 60-cm of sea-level rise were delineated above the highest marsh elevation for each marsh. Confidence interval contours (95-percent,&plusmn;  26.0 cm) were delineated above and below the 60-cm inundation contours, and artificial structures, such as roads and bridges, that may present barriers to salt-marsh migration were mapped. This study delineated 114 salt marshes totaling 340 hectares (ha), ranging in size from 0.11 ha (marshes less than 0.2 ha were mapped only if they were on Acadia National Park property) to 52 ha, with a median size of 1.0 ha. Inundation contours were mapped at 110 salt marshes. Approximately 350 ha of low-lying upland areas adjacent to these marshes will be inundated with 60 cm of sea-level rise. Many of these areas are currently freshwater wetlands. There are potential barriers to marsh migration at 27 of the 114 marshes. Although only 23 percent of the salt marshes in the study are on ANP property, about half of the upland areas that will be inundated are within ANP; most of the predicted inundated uplands (approximately 170 ha) include freshwater wetlands in the Northeast Creek and Bass Harbor Marsh areas. Most of the salt marshes analyzed do not have a significant amount of upland area available for migration. Seventy-five percent of the salt marshes have 20 meters or less of adjacent upland that would be inundated along most of their edges. All inundation contours, salt marsh locations, potential barriers, and survey data are stored in geospatial files for use in a geographic information system and are a part of this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125290","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Nielsen, M.G., and Dudley, R.W., 2013, Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2012-5290, Report: viii, 20 p.; Appendix 1: Geospatial Data, https://doi.org/10.3133/sir20125290.","productDescription":"Report: viii, 20 p.; Appendix 1: Geospatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":271615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125290.gif"},{"id":271612,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5290/"},{"id":271613,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5290/pdf/sir2012-5290_nielsen_508.pdf"},{"id":271614,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5290/appendix.html"}],"scale":"24000","projection":"Universe Transverse Mercator, zone 19N","datum":"North American Datum of 1983","country":"United States","state":"Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.6598,44.0059 ], [ -68.6598,44.4314 ], [ -68.0373,44.4314 ], [ -68.0373,44.0059 ], [ -68.6598,44.0059 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f884fe4b0e41721f7a320","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187065,"text":"70187065 - 2013 - Evidence for fluid-triggered slip in the 2009 Mount Rainier, Washington earthquake swarm","interactions":[],"lastModifiedDate":"2017-04-21T09:19:10","indexId":"70187065","displayToPublicDate":"2013-04-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for fluid-triggered slip in the 2009 Mount Rainier, Washington earthquake swarm","docAbstract":"<p><span>A vigorous swarm of over 1000 small, shallow earthquakes occurred 20–22 September 2009 beneath Mount Rainier, Washington, including the largest number of events ever recorded in a single day at Rainier since seismic stations were installed on the edifice in 1989. Many events were only clearly recorded on one or two stations on the edifice, or they overlapped in time with other events, and thus only ~200 were locatable by manual phase picking. To partially overcome this limitation, we applied waveform-based event detection integrated with precise double-difference relative relocation. With this procedure, detection and location goals are accomplished in tandem, using cross-correlation with continuous seismic data and waveform templates constructed from cataloged events. As a result, we obtained precise locations for 726 events, an improvement of almost a factor of 4. These event locations define a ~850 m long nearly vertical structure striking NNE, with episodic migration outward from the initial hypocenters. The activity front propagates in a manner consistent with a diffusional process. Double-couple-constrained focal mechanisms suggest dominantly near-vertical strike-slip motion on either NNW or ENE striking faults, more than 30° different than the strike of the event locations. This suggests the possibility of en echelon faulting, perhaps with a component of fault opening in a fracture-mesh-type geometry. We hypothesize that the swarm was initiated by a sudden release of high-pressure fluid into preexisting fractures, with subsequent activity triggered by diffusing fluid pressure in combination with stress transfer from the preceding events.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/grl.50354","usgsCitation":"Shelly, D.R., Moran, S.C., and Thelen, W.A., 2013, Evidence for fluid-triggered slip in the 2009 Mount Rainier, Washington earthquake swarm: Geophysical Research Letters, v. 40, no. 8, p. 1506-1512, https://doi.org/10.1002/grl.50354.","productDescription":"7 p.","startPage":"1506","endPage":"1512","ipdsId":"IP-044737","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50354","text":"Publisher Index Page"},{"id":340068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              46.7\n            ],\n            [\n              -121.5,\n              46.7\n            ],\n            [\n              -121.5,\n              46.95\n            ],\n            [\n              -122,\n              46.95\n            ],\n            [\n              -122,\n              46.7\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-27","publicationStatus":"PW","scienceBaseUri":"58fb1a4fe4b0c3010a8087d9","contributors":{"authors":[{"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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":692282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":692283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":692284,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045616,"text":"70045616 - 2013 - Outcrop control of basin-scale underpressure in the Raton Basin, Colorado and New Mexico","interactions":[],"lastModifiedDate":"2013-04-27T13:38:59","indexId":"70045616","displayToPublicDate":"2013-04-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Outcrop control of basin-scale underpressure in the Raton Basin, Colorado and New Mexico","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mountain Geologist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Rocky Mountain Association of Geologists","usgsCitation":"Nelson, P.H., Gianoutsos, N., and Anna, L.O., 2013, Outcrop control of basin-scale underpressure in the Raton Basin, Colorado and New Mexico: Mountain Geologist, v. 50, no. 2, p. 37-63.","productDescription":"27","startPage":"37","endPage":"63","ipdsId":"IP-041993","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":271514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517ce54ee4b0d8907b288193","contributors":{"authors":[{"text":"Nelson, P. H.","contributorId":42238,"corporation":false,"usgs":true,"family":"Nelson","given":"P.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":477960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gianoutsos, N.J. 0000-0002-6510-6549","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":11569,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"N.J.","affiliations":[],"preferred":false,"id":477959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anna, L. O.","contributorId":65472,"corporation":false,"usgs":true,"family":"Anna","given":"L.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":477961,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045617,"text":"ofr20131066 - 2013 - Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000","interactions":[],"lastModifiedDate":"2013-04-26T12:19:33","indexId":"ofr20131066","displayToPublicDate":"2013-04-26T00:00:00","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":"2013-1066","title":"Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000","docAbstract":"Water releases from Glen Canyon Dam, Arizona, are the primary determinant of streamflow, sediment transport, water quality, and aquatic and riparian habitat availability in the Colorado River downstream of the dam in Grand Canyon. The presence and operation of the dam have transformed the seasonally warm Colorado River into a consistently cold river because of hypolimnetic, or deep-water, releases from the penstock withdrawal structures on the dam. These releases have substantially altered the thermal regime of the downstream riverine environment. This, in turn, has affected the biota of the river corridor, particularly native and nonnative fish communities and the aquatic food web.  In the spring and summer of 2000, a Low Steady Summer Flow experiment was conducted by the U.S. Geological Survey and the Bureau of Reclamation to evaluate the effects of the experimental flow on physical and biological resources of the Colorado River ecosystem downstream from Glen Canyon Dam to Lake Mead on the Arizona-Nevada border. This report describes the water temperatures collected during the experimental flow from 14 nearshore sites in the river corridor in Grand Canyon to assess the effects of steady releases on the thermal dynamics of nearshore environments. These nearshore areas are characterized by low-velocity flows with some degree of isolation from the higher velocity flows in the main channel and are hypothesized to be important rearing environments for young native fish.  Water-temperature measurements were made at 14 sites, ranging from backwater to open-channel environments. Warming during daylight hours, relative to main-channel temperatures, was measured at all sites in relation to the amount of isolation from the main-channel current. Boat traffic, amount of direct solar radiation, and degree of isolation from the main-channel current appear to be the primary factors affecting the differential warming of the nearshore environment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131066","usgsCitation":"Vernieu, W., and Anderson, C.R., 2013, Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000: U.S. Geological Survey Open-File Report 2013-1066, Report: vi, 44 p.; Data folder, https://doi.org/10.3133/ofr20131066.","productDescription":"Report: vi, 44 p.; Data folder","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":271510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131066.gif"},{"id":271509,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1066/csv"},{"id":271507,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1066/"},{"id":271508,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1066/of2013-1066_text.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,35 ], [ -114,37.25 ], [ -111,37.25 ], [ -111,35 ], [ -114,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517b93d8e4b09d6a5f9a2eaa","contributors":{"authors":[{"text":"Vernieu, William S.","contributorId":49068,"corporation":false,"usgs":true,"family":"Vernieu","given":"William S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":477963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Craig R.","contributorId":42857,"corporation":false,"usgs":true,"family":"Anderson","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477962,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045613,"text":"fs20133014 - 2013 - Mount St. Helens, 1980 to now—what’s going on?","interactions":[],"lastModifiedDate":"2017-05-18T10:58:23","indexId":"fs20133014","displayToPublicDate":"2013-04-26T00:00:00","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":"2013-3014, version 1.1","title":"Mount St. Helens, 1980 to now—what’s going on?","docAbstract":"Mount St. Helens seized the world’s attention in 1980 when the largest historical landslide on Earth and a powerful explosive eruption reshaped the volcano, created its distinctive crater, and dramatically modified the surrounding landscape. An enormous lava dome grew episodically in the crater until 1986, when the volcano became relatively quiet. A new glacier grew in the crater, wrapping around and partly burying the lava dome. From 1987 to 2003, sporadic earthquake swarms and small steam explosions indicated that magma (molten rock) was being replenished deep underground. In 2004, steam-and-ash explosions heralded the start of another eruption. A quieter phase of continuous lava extrusion followed and lasted until 2008, building a new dome and doubling the volume of lava on the crater floor. Scientists with the U.S. Geological Survey and University of Washington’s Pacific Northwest Seismograph Network maintain constant watch for signs of renewed activity at Mount St. Helens and other Cascade volcanoes. Now is an ideal time for both actual and virtual visitors to Mount St. Helens to learn more about dramatic changes taking place on and beneath this active volcano.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133014","collaboration":"U.S. GEOLOGICAL SURVEY and the U.S. FOREST SERVICE—OUR VOLCANIC PUBLIC LANDS","usgsCitation":"Dzurisin, D., Driedger, C.L., and Faust, L.M., 2013, Mount St. Helens, 1980 to now—what’s going on? (Originally posted on April 23, 2013; Revised May 28, 2013): U.S. Geological Survey Fact Sheet 2013-3014, version 1.1, Report: 6 p.; Videos folder: 6 video links; Transcripts folder, https://doi.org/10.3133/fs20133014.","productDescription":"Report: 6 p.; Videos folder: 6 video links; Transcripts folder","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":271503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133014.gif"},{"id":271502,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2013/3014/transcripts"},{"id":271501,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2013/3014/videos"},{"id":271499,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3014/"},{"id":271500,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3014/fs2013-3014_text.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.30495452880858,\n              46.12608040848373\n            ],\n            [\n              -122.07527160644531,\n              46.12608040848373\n            ],\n            [\n              -122.07527160644531,\n              46.27815664309132\n            ],\n            [\n              -122.30495452880858,\n              46.27815664309132\n            ],\n            [\n              -122.30495452880858,\n              46.12608040848373\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Originally posted on April 23, 2013; Revised May 28, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517b93cee4b09d6a5f9a2ea2","contributors":{"authors":[{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":477954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driedger, Carolyn L. 0000-0002-4011-4112 driedger@usgs.gov","orcid":"https://orcid.org/0000-0002-4011-4112","contributorId":537,"corporation":false,"usgs":true,"family":"Driedger","given":"Carolyn","email":"driedger@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":477953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faust, Lisa M. 0000-0001-6175-8999 lisaf@usgs.gov","orcid":"https://orcid.org/0000-0001-6175-8999","contributorId":5131,"corporation":false,"usgs":true,"family":"Faust","given":"Lisa","email":"lisaf@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":477955,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045614,"text":"sir20135022 - 2013 - Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology","interactions":[],"lastModifiedDate":"2013-04-26T09:14:32","indexId":"sir20135022","displayToPublicDate":"2013-04-26T00:00:00","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":"2013-5022","title":"Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology","docAbstract":"The U.S. Geological Survey is studying approaches to characterize the thermal regulation of water and the dynamics of cold water refugia. High temperatures have physiological impacts on anadromous fish species. Factors affecting the presence, variability, and quality of thermal refugia are known, such as riverine and watershed processes, hyporheic flows, deep pools and bathymetric factors, thermal stratification of reservoirs, and other broader climatic considerations. This research develops a conceptual model and methodological techniques to quantify the change in solar insolation load to the Klamath River caused by riparian and floodplain vegetation, the morphology of the river, and the orientation and topographic characteristics of its watersheds. Using multiple scales of input data from digital elevation models and airborne light detection and ranging (LiDAR) derivatives, different analysis methods yielded three different model results. These models are correlated with thermal infrared imagery for ground-truth information at the focal confluence with the Scott River. Results from nonparametric correlation tests, geostatistical cross-covariograms, and cross-correlograms indicate that statistical relationships between the insolation models and the thermal infrared imagery exist and are significant. Furthermore, the use of geostatistics provides insights to the spatial structure of the relationships that would not be apparent otherwise. To incorporate a more complete representation of the temperature dynamics in the river system, other variables including the factors mentioned above, and their influence on solar loading, are discussed. With similar datasets, these methods could be applied to any river in the United States—especially those listed as temperature impaired under Section 303(d) of the Clean Water Act—or international riverine systems. Considering the importance of thermal refugia for aquatic species, these methods can help investigate opportunities for riparian restoration, identify problematic reaches unlikely to provide good habitat, and simulate changes to solar loading estimates from alternative landscape configurations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135022","usgsCitation":"Forney, W.M., Soulard, C.E., and Chickadel, C.C., 2013, Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology: U.S. Geological Survey Scientific Investigations Report 2013-5022, iv, 26 p., https://doi.org/10.3133/sir20135022.","productDescription":"iv, 26 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":271506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135022.gif"},{"id":271504,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5022/"},{"id":271505,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5022/sir2013-5022.pdf"}],"country":"United States","state":"California","otherGeospatial":"Klamath River;Scott River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.85,41.36 ], [ -122.85,41.37 ], [ -122.82,41.37 ], [ -122.82,41.36 ], [ -122.85,41.36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517b93d7e4b09d6a5f9a2ea6","contributors":{"authors":[{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chickadel, C. Christopher","contributorId":106337,"corporation":false,"usgs":true,"family":"Chickadel","given":"C.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":477958,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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