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","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051359","usgsCitation":"Attanasi, E., 2005, Economics of 1998 U.S. Geological Survey's 1002 Area regional assessment: An economic update: U.S. Geological Survey Open-File Report 2005-1359, iv, 10 p., https://doi.org/10.3133/ofr20051359.","productDescription":"iv, 10 p.","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":193170,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":391961,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74150.htm"},{"id":7076,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1359/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge, North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -146.4667,\n 69.5658\n ],\n [\n -142.1333,\n 69.5658\n ],\n [\n -142.1333,\n 70.1833\n ],\n [\n -146.4667,\n 70.1833\n ],\n [\n -146.4667,\n 69.5658\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625a08","contributors":{"authors":[{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":285859,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":72666,"text":"sir20055221 - 2005 - Baseline water-quality characteristics of the Alaska Army National Guard Stewart River Training Area near Nome, Alaska","interactions":[],"lastModifiedDate":"2016-06-20T15:26:49","indexId":"sir20055221","displayToPublicDate":"2005-11-04T00:00:00","publicationYear":"2005","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":"2005-5221","title":"Baseline water-quality characteristics of the Alaska Army National Guard Stewart River Training Area near Nome, Alaska","docAbstract":"The Alaska Army National Guard Stewart River Training Area is approximately 23 miles north of Nome on the Seward Peninsula in northwest Alaska. The Stewart River Training Area encompasses much of the Stewart River Basin and a small part of the Snake River Basin. Hydrologic, water-quality, and physical-habitat data were collected at seven surface-water sites within the Stewart River Training Area during the summer runoff months (late-May to early-September) in 2004. Two of the sampling sites selected for this study were on the main stem Stewart River, one at the upstream boundary and one at the downstream boundary of the training area. Continuous hydrologic, precipitation, and water temperature data were collected at these two sites throughout the summer of 2004. Three pond sites, along the upper, middle, and lower reaches of the Stewart River within the training area, were each sampled twice during the summer of 2004 for analysis of water-quality constituents. Two tributaries to the Snake River Basin, Goldbottom Creek and North Fork Snake River, within the Stewart River Training Area boundary, also were sampled twice during the summer of 2004. Water-quality data collected from the Stewart River at the upstream and downstream study sites indicate similar constituent concentrations. Concentrations of most water-quality constituents collected during the summer of 2004 did not exceed standards for drinking water or recreational contact. Analysis of trace-element concentrations in bed sediment samples indicate the threshold effect concentration (below which no adverse effects on organisms is expected) was exceeded for arsenic, chromium, and nickel concentrations at all sample sites within the Stewart River Training Area and cadmium, copper, zinc, and lead concentrations were found to exceed the threshold effect concentration in varying degrees at the sample sites. The probable effect concentration (above which toxic effects on organisms is likely) was exceeded by arsenic concentrations at all sites except the lower pond site. Chromium and nickel concentrations exceeded the probable effect concentration at the upstream Stewart River site and at the North Fork Snake River site.
","language":"English","doi":"10.3133/sir20055221","issn":"2328-031X","usgsCitation":"Eash, J.D., 2005, Baseline water-quality characteristics of the Alaska Army National Guard Stewart River Training Area near Nome, Alaska (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5221, 54 p., https://doi.org/10.3133/sir20055221.","productDescription":"54 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":192880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7070,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5221/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db68774f","contributors":{"authors":[{"text":"Eash, Josh D.","contributorId":100933,"corporation":false,"usgs":true,"family":"Eash","given":"Josh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":285845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156570,"text":"70156570 - 2005 - Bark beetle outbreaks in western North America: Causes and consequences","interactions":[],"lastModifiedDate":"2021-10-21T14:21:05.30203","indexId":"70156570","displayToPublicDate":"2005-11-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Bark beetle outbreaks in western North America: Causes and consequences","docAbstract":"Since 1990, native bark beetles have killed billions of trees across millions of acres of forest from Alaska to northern Mexico. Although bark beetle infestations are a regular force of natural change in forested ecosystems, several of the current outbreaks, which are occurring simultaneously across western North America, are the largest and most severe in recorded history.
","conferenceTitle":"Bark Beetle Symposium","conferenceDate":"November 15-18, 2005","conferenceLocation":"Snowbird, UT","language":"English","publisher":"University of Utah Press","isbn":"9780874809657","usgsCitation":"Bentz, B., Logan, J., MacMahon, J.A., Allen, C.D., Ayres, M., Berg, E.E., Carroll, A., Hansen, M., Hicke, J.H., Joyce, L.A., Macfarlane, W., Munson, S., Negron, J., Paine, T., Powell, J., Raffa, K., Regniere, J., Reid, M., Romme, B., Seybold, S.J., Six, D., Vandygriff, J., Veblen, T., White, M., and Witcosky, J., 2005, Bark beetle outbreaks in western North America: Causes and consequences, Bark Beetle Symposium, Snowbird, UT, November 15-18, 2005, 42 p.","productDescription":"42 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007529","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":307322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307321,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/43479"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dc402ce4b0518e354d10db","contributors":{"authors":[{"text":"Bentz, Barbara","contributorId":146954,"corporation":false,"usgs":false,"family":"Bentz","given":"Barbara","affiliations":[],"preferred":false,"id":569536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Jesse","contributorId":178171,"corporation":false,"usgs":false,"family":"Logan","given":"Jesse","affiliations":[],"preferred":false,"id":658125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacMahon, James A.","contributorId":9581,"corporation":false,"usgs":true,"family":"MacMahon","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":658127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ayres, Matt","contributorId":178172,"corporation":false,"usgs":false,"family":"Ayres","given":"Matt","email":"","affiliations":[],"preferred":false,"id":658128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berg, Edward 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Jacques","contributorId":178179,"corporation":false,"usgs":false,"family":"Regniere","given":"Jacques","email":"","affiliations":[],"preferred":false,"id":658140,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Reid, Mary","contributorId":178180,"corporation":false,"usgs":false,"family":"Reid","given":"Mary","affiliations":[],"preferred":false,"id":658141,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Romme, Bill","contributorId":178181,"corporation":false,"usgs":false,"family":"Romme","given":"Bill","email":"","affiliations":[],"preferred":false,"id":658142,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Seybold, Steven J.","contributorId":178182,"corporation":false,"usgs":false,"family":"Seybold","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658143,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Six, Diana","contributorId":178183,"corporation":false,"usgs":false,"family":"Six","given":"Diana","email":"","affiliations":[],"preferred":false,"id":658144,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Vandygriff, Jim","contributorId":178184,"corporation":false,"usgs":false,"family":"Vandygriff","given":"Jim","email":"","affiliations":[],"preferred":false,"id":658145,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Veblen, Tom","contributorId":149406,"corporation":false,"usgs":false,"family":"Veblen","given":"Tom","email":"","affiliations":[],"preferred":false,"id":658146,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"White, Mike","contributorId":178185,"corporation":false,"usgs":false,"family":"White","given":"Mike","affiliations":[],"preferred":false,"id":658147,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Witcosky, 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Critical to these studies is the determination of the amount of lipids (fat) stored and available to the fish as its primary energy source for migration and spawning. Recent developments of Bioelectrical Impedance Analysis (BIA) promise a simple, non-lethal means of estimating proximate composition (e.g. fat, protein, water content) for field applications with fish. The goal of the project was to develop BIA models for Chinook salmon from the Yukon River watershed that would permit the non-lethal estimation of body proximate composition for use in field studies.
Our results clearly demonstrated that BIA can be used to estimate proximate composition and energy density of salmon. While some minor refinements were suggested, the methodology can be used in a wide variety of field applications. For instance, application of the BIA models to predict energy levels of fish during their migration will allow evaluation of management programs, while also yielding data that can be used to evaluate energy use along the migratory path. Correlations of energy level with ongoing tagging, radio-tracking, and genetic studies also have the potential to allow managers and scientists to understand the relationship between fat content and distance to spawning location. These models have the potential for application to this species in other river systems. They also provide tools for a variety of other scientific investigation such as: 1) differences in energy stores in spawning and recruitment success; 2) effects of global warming on migratory salmonid stocks; and 3) differences in annual flow and temperature regiments upon migratory energy costs and resulting recruitment success.
","language":"English","publisher":"Arctic-Yukon-Kuskokwim Sustainable Salmon Initiative","usgsCitation":"Margraf, F.J., Hartman, K.J., and Cox, M.K., 2005, Non-lethal estimation of body composition of Yukon River salmon: Final Report, iv, 23 p.","productDescription":"iv, 23 p.","ipdsId":"IP-007579","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":382963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382962,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.aykssi.org/project/energy-content-of-yukon-river-chinook-salmon/"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Yukon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -132.93457031249997,\n 59.712097173322924\n ],\n [\n -139.4384765625,\n 64.62387720204688\n ],\n [\n -144.53613281249997,\n 66.9816661111497\n ],\n [\n -159.521484375,\n 65.34851379240024\n ],\n [\n -161.1474609375,\n 62.512317938386914\n ],\n [\n -163.0810546875,\n 62.91523303947614\n ],\n [\n -165.0146484375,\n 63.29293924364835\n ],\n [\n -164.7509765625,\n 62.08331486294795\n ],\n [\n -161.8505859375,\n 61.33353967329144\n ],\n [\n -159.1259765625,\n 61.75233128411639\n ],\n [\n -157.2802734375,\n 64.14895190024562\n ],\n [\n -149.85351562499997,\n 65.09064558256851\n ],\n [\n -146.07421875,\n 66.19600891267761\n ],\n [\n -142.8662109375,\n 64.64270382119375\n ],\n [\n -140.44921875,\n 63.25341156651705\n ],\n [\n -136.8896484375,\n 61.079544234557304\n ],\n [\n -134.47265625,\n 59.512029386502704\n ],\n [\n -132.93457031249997,\n 59.712097173322924\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Margraf, F. 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Such maps can be conveniently used to generate derivative maps for purposes including mineral-resource assessment, metallogenic studies, tectonic studies, and environmental research. This Open-File Report is a preliminary version of part of a series of integrated state geologic map databases that cover the entire United States.\r\n\r\nThe only national-scale digital geologic maps that portray most or all of the United States for the conterminous U.S. are the digital version of the King and Beikman (1974a, b) map at a scale of 1:2,500,000, as digitized by Schruben and others (1994) and the digital version of the Geologic Map of North America (Reed and others, 2005a, b) compiled at a scale of 1:5,000,000 which is currently being prepared by the U.S. Geological Survey. The present series of maps is intended to provide the next step in increased detail. State geologic maps that range in scale from 1:100,000 to 1:1,000,000 are available for most of the country, and digital versions of these state maps are the basis of this product. In a few cases, new digital compilations were prepared (e.g. OH, SC, SD) or existing paper maps were digitized (e.g. KY, TX). For Alaska and Hawaii, new regional maps are being compiled and ultimately new state maps will be produced.\r\n\r\nThe digital geologic maps are presented in standardized formats as ARC/INFO (.e00) export files and as ArcView shape (.shp) files. Accompanying these spatial databases are a set of five supplemental data tables that relate the map units to detailed lithologic and age information. The maps for the CONUS have been fitted to a common set of state boundaries based on the 1:100,000 topographic map series of the United States Geological Survey (USGS). When the individual state maps are merged, the combined attribute tables can be used directly with the merged maps to make derivative maps. 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The only national-scale digital geologic maps that portray most or all of the United States for the conterminous U.S. are the digital version of the King and Beikman (1974a, b) map at a scale of 1:2,500,000, as digitized by Schruben and others (1994) and the digital version of the Geologic Map of North America (Reed and others, 2005a, b) compiled at a scale of 1:5,000,000 which is currently being prepared by the U.S. Geological Survey. The present series of maps is intended to provide the next step in increased detail. State geologic maps that range in scale from 1:100,000 to 1:1,000,000 are available for most of the country, and digital versions of these state maps are the basis of this product. In a few cases, new digital compilations were prepared (e.g. OH, SC, SD) or existing paper maps were digitized (e.g. KY, TX). For Alaska and Hawaii, new regional maps are being compiled and ultimately new state maps will be produced.
The digital geologic maps are presented in standardized formats as ARC/INFO (.e00) export files and as ArcView shape (.shp) files. Accompanying these spatial databases are a set of five supplemental data tables that relate the map units to detailed lithologic and age information. The maps for the CONUS have been fitted to a common set of state boundaries based on the 1:100,000 topographic map series of the United States Geological Survey (USGS). When the individual state maps are merged, the combined attribute tables can be used directly with the merged maps to make derivative maps. No attempt has been made to reconcile differences in mapped geology across state lines.
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","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051217","usgsCitation":"Attanasi, E., 2005, Undiscovered oil resources in the Federal portion of the 1002 Area of the Arctic National Wildlife Refuge: An economic update (Version 1.0): U.S. Geological Survey Open-File Report 2005-1217, iv, 29 p., https://doi.org/10.3133/ofr20051217.","productDescription":"iv, 29 p.","onlineOnly":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":191062,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":406475,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_73652.htm","linkFileType":{"id":5,"text":"html"}},{"id":7437,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1217/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"1002 Area, Arctic National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -146.4667,\n 69.5667\n ],\n [\n -142.1,\n 69.5667\n ],\n [\n -142.1,\n 70.1667\n ],\n [\n -146.4667,\n 70.1667\n ],\n [\n -146.4667,\n 69.5667\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f60f","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":284888,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":71122,"text":"sir20055186 - 2005 - Hydrology, geomorphology, and flood profiles of Lemon Creek, Juneau, Alaska","interactions":[],"lastModifiedDate":"2016-06-20T15:29:26","indexId":"sir20055186","displayToPublicDate":"2005-08-30T00:00:00","publicationYear":"2005","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":"2005-5186","title":"Hydrology, geomorphology, and flood profiles of Lemon Creek, Juneau, Alaska","docAbstract":"Lemon Creek near Juneau, Alaska has a history of extensive gravel mining, which straightened and deepened the stream channel in the lower reaches of the study area. Gravel mining and channel excavation began in the 1940s and continued through the mid-1980s. Time sequential aerial photos and field investigations indicate that the channel morphology is reverting to pre-disturbance conditions through aggradation of sediment and re-establishment of braided channels, which may result in decreased channel conveyance and increased flooding potential. Time sequential surveys of selected channel cross sections were conducted in an attempt to determine rates of channel aggradation/degradation throughout three reaches of the study area. In order to assess flooding potential in the lower reaches of the study area the U.S. Army Corps of Engineers Hydrologic Engineering Center River Analysis System model was used to estimate the water-surface elevations for the 2-, 10-, 25-, 50-, and 100-year floods. A regionally based regression equation was used to estimate the magnitude of floods for the selected recurrence intervals. Forty-two cross sections were surveyed to define the hydraulic characteristics along a 1.7-mile reach of the stream. High-water marks from a peak flow of 1,820 cubic feet per second, or about a 5-year flood, were surveyed and used to calibrate the model throughout the study area. The stream channel at a bridge in the lower reach could not be simulated without violating assumptions of the model. A model without the lower bridge indicates flood potential is limited to a small area.
","language":"English","doi":"10.3133/sir20055186","usgsCitation":"Host, R.H., and Neal, E., 2005, Hydrology, geomorphology, and flood profiles of Lemon Creek, Juneau, Alaska (Online Only): U.S. Geological Survey Scientific Investigations Report 2005-5186, 28 p., https://doi.org/10.3133/sir20055186.","productDescription":"28 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":192697,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6823,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5186/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","edition":"Online Only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db698481","contributors":{"authors":[{"text":"Host, Randy H.","contributorId":53778,"corporation":false,"usgs":true,"family":"Host","given":"Randy","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":283687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neal, Edward G.","contributorId":68775,"corporation":false,"usgs":true,"family":"Neal","given":"Edward G.","affiliations":[],"preferred":false,"id":283688,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":71065,"text":"sir20055048 - 2005 - Well log analysis to assist the interpretation of 3-D seismic data at Milne Point, north slope of Alaska","interactions":[],"lastModifiedDate":"2012-02-02T00:13:45","indexId":"sir20055048","displayToPublicDate":"2005-08-23T00:00:00","publicationYear":"2005","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":"2005-5048","title":"Well log analysis to assist the interpretation of 3-D seismic data at Milne Point, north slope of Alaska","docAbstract":"In order to assess the resource potential of gas hydrate deposits in the North Slope of Alaska, 3-D seismic and well data at Milne Point were obtained from BP Exploration (Alaska), Inc. The well-log analysis has three primary purposes: (1) Estimate gas hydrate or gas saturations from the well logs; (2) predict P-wave velocity where there is no measured P-wave velocity in order to generate synthetic seismograms; and (3) edit P-wave velocities where degraded borehole conditions, such as washouts, affected the P-wave measurement significantly. Edited/predicted P-wave velocities were needed to map the gas-hydrate-bearing horizons in the complexly faulted upper part of 3-D seismic volume. The estimated gas-hydrate/gas saturations from the well logs were used to relate to seismic attributes in order to map regional distribution of gas hydrate inside the 3-D seismic grid.\r\n\r\nThe P-wave velocities were predicted using the modified Biot-Gassmann theory, herein referred to as BGTL, with gas-hydrate saturations estimated from the resistivity logs, porosity, and clay volume content. The effect of gas on velocities was modeled using the classical Biot-Gassman theory (BGT) with parameters estimated from BGTL.","language":"ENGLISH","doi":"10.3133/sir20055048","usgsCitation":"Lee, M.W., 2005, Well log analysis to assist the interpretation of 3-D seismic data at Milne Point, north slope of Alaska (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2005-5048, 23 p., https://doi.org/10.3133/sir20055048.","productDescription":"23 p.","costCenters":[],"links":[{"id":185833,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6759,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5048/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47d9e4b07f02db4b5c0b","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":283585,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70976,"text":"sir20055019 - 2005 - The Togiak-Tikchik complex of southwestern Alaska, a replacement for the Gemuk Group: Stratigraphic nomenclature that has outlived its time","interactions":[],"lastModifiedDate":"2023-04-18T19:51:02.556563","indexId":"sir20055019","displayToPublicDate":"2005-08-01T00:00:00","publicationYear":"2005","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":"2005-5019","title":"The Togiak-Tikchik complex of southwestern Alaska, a replacement for the Gemuk Group: Stratigraphic nomenclature that has outlived its time","docAbstract":"During early exploratory reconnaissance of southwestern Alaska in the 1940s and 1950s, the term \"Gemuk Group\" was used to name a varied assemblage of sedimentary and volcanic rocks in southwestern Alaska. Throughout the 1950s and early 1960s, the name was broadly applied in the region; yet by the end of the 1960s, it was no longer in use, and later maps assigned the rocks originally in this unit to various informal units and, later, to various terranes. The name \"Gemuk Group\" is herein abandoned, and the rocks previously assigned to the Gemuk Group, a diverse and structurally complex assemblage, are renamed the \"Togiak-Tikchik Complex.\"
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055019","usgsCitation":"Wilson, F.H., and Coonrad, W.L., 2005, The Togiak-Tikchik complex of southwestern Alaska, a replacement for the Gemuk Group: Stratigraphic nomenclature that has outlived its time: U.S. Geological Survey Scientific Investigations Report 2005-5019, iii, 8 p., https://doi.org/10.3133/sir20055019.","productDescription":"iii, 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":186565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":415944,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_72175.htm","linkFileType":{"id":5,"text":"html"}},{"id":6635,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5019/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Togiak-Tikchik comples","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.0833,\n 61.3058\n ],\n [\n -159.0833,\n 60.6731\n ],\n [\n -158.1428,\n 60.6731\n ],\n [\n -158.1428,\n 61.3058\n ],\n [\n -159.0833,\n 61.3058\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673c08","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":283412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coonrad, W. L.","contributorId":69946,"corporation":false,"usgs":true,"family":"Coonrad","given":"W.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":283413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175186,"text":"70175186 - 2005 - River chemistry as a monitor of Yosemite Park mountain hydroclimates","interactions":[],"lastModifiedDate":"2018-10-31T08:42:46","indexId":"70175186","displayToPublicDate":"2005-08-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"River chemistry as a monitor of Yosemite Park mountain hydroclimates","docAbstract":"High-frequency, high-altitude measurements of water chemistry provide insights into processes relating to the hydrology, climate, and geochemistry of mountain catchments. When such observations are combined with stream stage, temperature, snow, weather, and other surface hydroclimate measurements, they are particularly useful in allowing connections between climate, river discharge, river chemistry, and ecosystems to be discerned.
\nClimate is the major source of variability in U.S. and global water resources. For example, large-scale variations in the global atmosphere and the Pacific Ocean are responsible for much of the variability in river discharge in Hawaii, Alaska, the U.S. Pacific Northwest, and the U.S. Southwest [Cayan and Peterson, 1989], and thus are closely linked to water and energy resources of the western United States [Cayan et al., 2003].
","language":"English","publisher":"AGU Publications","doi":"10.1029/2005EO310001","usgsCitation":"Peterson, D., Smith, R., Hager, S., Hicke, J.A., Dettinger, M., and Huber, 2005, River chemistry as a monitor of Yosemite Park mountain hydroclimates: Eos, Earth and Space Science News, v. 86, no. 31, p. 285-288, https://doi.org/10.1029/2005EO310001.","productDescription":"4 p.","startPage":"285","endPage":"288","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":488510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005eo310001","text":"Publisher Index Page"},{"id":325912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"31","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"57a1c433e4b006cb45552c3f","contributors":{"authors":[{"text":"Peterson, David","contributorId":15287,"corporation":false,"usgs":true,"family":"Peterson","given":"David","affiliations":[],"preferred":false,"id":644256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Richard","contributorId":34172,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"","affiliations":[],"preferred":false,"id":644257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hager, Stephen","contributorId":54678,"corporation":false,"usgs":true,"family":"Hager","given":"Stephen","affiliations":[],"preferred":false,"id":644258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hicke, Jeffrey A.","contributorId":87832,"corporation":false,"usgs":true,"family":"Hicke","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":644259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":147804,"corporation":false,"usgs":false,"family":"Dettinger","given":"Michael","affiliations":[],"preferred":false,"id":644260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huber","contributorId":173319,"corporation":false,"usgs":false,"family":"Huber","email":"","affiliations":[],"preferred":false,"id":644261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70926,"text":"ofr20051192 - 2005 - Digital-elevation and surface-classification maps of the Fish Creek area, Harrison Bay quadrangle, northern Alaska","interactions":[],"lastModifiedDate":"2023-03-22T20:17:59.173378","indexId":"ofr20051192","displayToPublicDate":"2005-07-22T00:00:00","publicationYear":"2005","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":"2005-1192","title":"Digital-elevation and surface-classification maps of the Fish Creek area, Harrison Bay quadrangle, northern Alaska","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051192","usgsCitation":"Mars, J.L., Garrity, C.P., Houseknecht, D.W., Amoroso, L., and Meares, D.C., 2005, Digital-elevation and surface-classification maps of the Fish Creek area, Harrison Bay quadrangle, northern Alaska: U.S. Geological Survey Open-File Report 2005-1192, Report: 10 p.; 3 Plates: 63 x 36 inches, https://doi.org/10.3133/ofr20051192.","productDescription":"Report: 10 p.; 3 Plates: 63 x 36 inches","onlineOnly":"Y","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":193335,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6586,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1192/","linkFileType":{"id":5,"text":"html"}},{"id":110570,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_72128.htm","linkFileType":{"id":5,"text":"html"},"description":"72128"}],"country":"United States","state":"Alaska","otherGeospatial":"Fish Creek area, Harrison Bay quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.4,\n 70.5\n ],\n [\n -153.4,\n 70\n ],\n [\n -150.9083,\n 70\n ],\n [\n -150.9083,\n 70.5\n ],\n [\n -153.4,\n 70.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64adee","contributors":{"authors":[{"text":"Mars, John L. jmars@usgs.gov","contributorId":3428,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":283331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrity, Christopher P. 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":644,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","middleInitial":"P.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":283328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":283329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amoroso, Lee lamoroso@usgs.gov","contributorId":3069,"corporation":false,"usgs":true,"family":"Amoroso","given":"Lee","email":"lamoroso@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":283330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meares, Donald C.","contributorId":94753,"corporation":false,"usgs":true,"family":"Meares","given":"Donald","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":283332,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176072,"text":"70176072 - 2005 - Genetics of Central Valley, O. mykiss, populations: Drainage and watershed scale analyses","interactions":[],"lastModifiedDate":"2022-06-02T14:47:38.276655","indexId":"70176072","displayToPublicDate":"2005-07-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetics of Central Valley, O. mykiss, populations: Drainage and watershed scale analyses","title":"Genetics of Central Valley, O. mykiss, populations: Drainage and watershed scale analyses","docAbstract":"Genetic variation at 11 microsatellite loci described population genetic structure for Oncorhynchus mykiss in the Central Valley, California. Spatial and temporal variation was examined as well as relationships between hatchery and putative natural spawning anadromous stocks. Genetic diversity was analyzed at two distinct spatial scales: fine-scale within drainage for five populations on Clear Creek; between and among drainage diversity for 23 populations. Significant regional spatial structure was apparent, both within Clear Creek and among rainbow trout populations throughout the Central Valley. Significant differences in allelic frequencies were found among most river or drainage systems. Less than 1% of the molecular variance could be attributed to differences found between drainages. Hatchery populations were shown to carry similar genetic diversity to geographically proximate wild populations. Central Valley M = 0.626 (below the M < 0.68 threshold) supported recent population reductions within the Central Valley. However, average estimated effective population size was relatively high (Ne = 5066). Significant allelic differences were found in rainbow trout collected above and below impassable dams on the American, Yuba, Stanislaus and Tuolumne rivers. Rainbow trout sampled in Spring Creek were extremely bottlenecked with allelic variation at only two loci and an estimated effective population size of 62, suggesting some local freshwater O. mykiss stocks may be declining rapidly. These data support significant genetic population structure for steelhead and rainbow trout populations within the Central Valley across multiple scales. Careful consideration of this genetic diversity and its distribution across the landscape should be part of future conservation and restoration efforts.
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