This report is a descriptive model of Mississippi Valley-Type (MVT) lead-zinc deposits that presents their geological, mineralogical and geochemical attributes and is part of an effort by the U.S. Geological Survey Mineral Resources Program to update existing models and develop new models that will be used for an upcoming national mineral resource assessment. This deposit modeling effort by the USGS is intended to supplement previously published models for use in mineral-resource and mineral-environmental assessments. Included in this report are geological, geophysical and geochemical assessment guides to assist in mineral resource estimation. The deposit attributes, including grade and tonnage of the deposits described in this report are based on a new mineral deposits data set of all known MVT deposits in the world.
\nMississippi Valley-Type (MVT) lead-zinc deposits are found throughout the world but the largest, and more intensely researched deposits occur in North America. The ores consist mainly of sphalerite, galena, and generally lesser amounts of iron sulfides. Silver is commonly an important commodity, whereas Cu is generally low, but is economically important in some deposits. Gangue minerals may include carbonates (dolomite, siderite, ankerite, calcite), and typically minor barite. Silicification of the host rocks (or quartz gangue) is generally minor, but may be abundant in a few deposits. The deposits have a broad range of relationships with their host rocks that includes stratabound, and discordant ores; in some deposits, stratiform and vein ore are important.
\nThe most important characteristics of MVT ore deposits are that they are hosted mainly by dolostone and limestone in platform carbonate sequences and usually located at flanks of basins, orogenic forelands, or foreland thrust belts inboard of the clastic rock-dominated passive margin sequences. They have no spatial or temporal relation to igneous rocks, which distinguishes them from skarn or other intrusive rock-related Pb-Zn ores. Abundant evidence has shown that the ore fluids were derived mainly from evaporated seawater and were driven within platform carbonates by large-scale tectonic events.
\nMVT deposits formed mainly during the Phanerozoic with more than 80 percent of the deposits hosted in Phanerozoic rocks and less than 20 percent in Precambrian rocks. Phanerozoic-hosted MVT deposits also account for 94 percent of total MVT ore, and 93 percent of total MVT lead and zinc metal. Many MVT deposits formed during Devonian to Permian time, corresponding to a series of intense tectonic events during assimilation of Pangea. The second most important period for MVT deposit genesis was Cretaceous to Tertiary time when microplate assimilation affected the western margin of North America and Africa-Eurasia.
\nMany subtypes or alternative classifications have been applied to MVT deposits. These alternative classifications reflect geographic and or specific geological features that some workers believe set them apart as unique (for example, Appalachian-, Alpine-, Reocin-, Irish-, Viburnum trend-types). However, we do not consider these alternative classifications or sub-types to be sufficiently different to warrant using them.
\nThis report also describes the geoenvironmental characteristic of MVT deposits. The response of MVT ores in the supergene environment is buffered by their placement in carbonate host rocks which commonly results in near-neutral associated drainage water. The geoenvironmental features and anthropogenic mining effects presented in this report illustrates this important environmental aspect of MVT deposits which separates them from other deposit types (especially coal, VHMS, Cu-porphyry, SEDEX, acid-sulfate polymetallic vein).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070A","usgsCitation":"Leach, D.L., Taylor, R.D., Fey, D.L., Diehl, S.F., and Saltus, R.W., 2010, A deposit model for Mississippi Valley-Type lead-zinc ores: U.S. Geological Survey Scientific Investigations Report 2010-5070, viii, 43 p., https://doi.org/10.3133/sir20105070A.","productDescription":"viii, 43 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":311537,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/a/pdf/SIR10-5070A.pdf","text":"Report","size":"6.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":116033,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5070_a.jpg"},{"id":13948,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/a/","linkFileType":{"id":5,"text":"html"}},{"id":395810,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93789.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b25e4b07f02db6aede5","contributors":{"authors":[{"text":"Leach, David L.","contributorId":83902,"corporation":false,"usgs":true,"family":"Leach","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diehl, Sharon F. diehl@usgs.gov","contributorId":1089,"corporation":false,"usgs":true,"family":"Diehl","given":"Sharon","email":"diehl@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saltus, Richard W. saltus@usgs.gov","contributorId":777,"corporation":false,"usgs":true,"family":"Saltus","given":"Richard","email":"saltus@usgs.gov","middleInitial":"W.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305717,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98556,"text":"ofr20101112 - 2010 - Evaluating the feasibility of modeling the subsurface structure of two volcanic units in drill holes UE-18r and ER-EC-2a using existing magnetic data, Nevada Test Site","interactions":[],"lastModifiedDate":"2021-10-12T20:34:33.499435","indexId":"ofr20101112","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","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":"2010-1112","title":"Evaluating the feasibility of modeling the subsurface structure of two volcanic units in drill holes UE-18r and ER-EC-2a using existing magnetic data, Nevada Test Site","docAbstract":"The magnetic properties of two volcanic units encountered in two drill holes, ER-EC-2a and UE18r, located in the vicinity of the Nevada Test Site, were investigated to determine if the units were significantly more magnetic than overlying units and, thus, detectable by using aeromagnetic data. Magnetic-susceptibility measurements were made on cuttings from the drill holes and were combined with published data on remanent magnetism to generate two-dimensional magnetic models, based on an interpreted geologic cross-section. The resulting magnetic anomaly calculated from the models was compared with the observed aeromagnetic anomaly and was found to differ significantly from it. Furthermore, the calculated magnetic anomalies were found to be relatively insensitive to changes in the two units of interest.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101112","usgsCitation":"Phelps, G.A., 2010, Evaluating the feasibility of modeling the subsurface structure of two volcanic units in drill holes UE-18r and ER-EC-2a using existing magnetic data, Nevada Test Site: U.S. Geological Survey Open-File Report 2010-1112, iii, 35 p., https://doi.org/10.3133/ofr20101112.","productDescription":"iii, 35 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":116040,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1112.jpg"},{"id":390443,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93796.htm"},{"id":13951,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1112/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Nevada Test Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.6583,\n 37.0803\n ],\n [\n -116.325,\n 37.0803\n ],\n [\n -116.325,\n 37.2486\n ],\n [\n -116.6583,\n 37.2486\n ],\n [\n -116.6583,\n 37.0803\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a05e4b07f02db5f871b","contributors":{"authors":[{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305725,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98557,"text":"ofr20101137 - 2010 - Effects of Glen Canyon Dam discharges on water velocity and temperatures at the confluence of the Colorado and Little Colorado Rivers and implications for habitat for young-of-year humpback chub (Gila cypha)","interactions":[],"lastModifiedDate":"2022-01-31T20:50:03.114755","indexId":"ofr20101137","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","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":"2010-1137","displayTitle":"Effects of Glen Canyon Dam discharges on water velocity and temperatures at the confluence of the Colorado and Little Colorado Rivers and implications for habitat for young-of-year humpback chub (Gila cypha)","title":"Effects of Glen Canyon Dam discharges on water velocity and temperatures at the confluence of the Colorado and Little Colorado Rivers and implications for habitat for young-of-year humpback chub (Gila cypha)","docAbstract":"Water velocity and temperature are physical variables that affect the growth and survivorship of young-of-year (YOY) fishes. The Little Colorado River, a tributary to the Colorado River in Grand Canyon, is an important spawning ground and warmwater refuge for the endangered humpback chub (Gila cypha) from the colder mainstem Colorado River that is regulated by Glen Canyon Dam. The confluence area of the Little Colorado River and the Colorado River is a site where YOY humpback chub (size 30-90 mm) emerging from the Little Colorado River experience both colder temperatures and higher velocities associated with higher mainstem discharge. We used detailed surveying and mapping techniques in combination with YOY velocity and temperature preferenda (determined from field and lab studies) to compare the areal extent of available habitat for young fishes at the confluence area under four mainstem discharges (227, 368, 504, and 878 m3/s). Comparisons revealed that the areal extent of low-velocity, warm water at the confluence decreased when discharges exceeded 368 m3/s. Furthermore, mainstem fluctuations, depending on the rate of upramp, can affect velocity and temperature dynamics in the confluence area within several hours. The amount of daily fluctuations in discharge can result in the loss of approximately 1.8 hectares of habitat favorable to YOY humpback chub. Consequently, flow fluctuations and the accompanying changes in velocity and temperature at the confluence may diminish the recruitment potential of humpback chub that spawn in the tributary stream. This study illustrates the utility of multiple georeferenced data sources to provide critical information related to the influence of the timing and magnitude of discharge from Glen Canyon Dam on potential rearing environment at the confluence area of the Little Colorado River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101137","collaboration":"Prepared in cooperation with Shephard?Wesnitzer, Inc.","usgsCitation":"Protiva, F.R., Ralston, B., Stone, D.M., Kohl, K., Yard, M., and Haden, G.A., 2010, Effects of Glen Canyon Dam discharges on water velocity and temperatures at the confluence of the Colorado and Little Colorado Rivers and implications for habitat for young-of-year humpback chub (Gila cypha): U.S. Geological Survey Open-File Report 2010-1137, vi, 24 p., https://doi.org/10.3133/ofr20101137.","productDescription":"vi, 24 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":116038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1137.jpg"},{"id":395182,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93797.htm"},{"id":13952,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1137/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"confluence of the Colorado and Little Colorado Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.8418502807617,\n 36.15700384567333\n ],\n [\n -111.7580795288086,\n 36.15700384567333\n ],\n [\n -111.7580795288086,\n 36.223780559967814\n ],\n [\n -111.8418502807617,\n 36.223780559967814\n ],\n [\n -111.8418502807617,\n 36.15700384567333\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db625157","contributors":{"authors":[{"text":"Protiva, Frank R.","contributorId":92773,"corporation":false,"usgs":true,"family":"Protiva","given":"Frank","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":305729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Dennis M.","contributorId":58237,"corporation":false,"usgs":false,"family":"Stone","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":305728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kohl, Keith A.","contributorId":107009,"corporation":false,"usgs":true,"family":"Kohl","given":"Keith A.","affiliations":[],"preferred":false,"id":305731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":8577,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","affiliations":[],"preferred":false,"id":305726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haden, G. Allen","contributorId":13334,"corporation":false,"usgs":true,"family":"Haden","given":"G.","email":"","middleInitial":"Allen","affiliations":[],"preferred":false,"id":305727,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98558,"text":"ofr20101148 - 2010 - Fort Collins Science Center-Fiscal year 2009 science accomplishments","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"ofr20101148","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","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":"2010-1148","title":"Fort Collins Science Center-Fiscal year 2009 science accomplishments","docAbstract":"Public land and natural resource managers in the United States are confronted with increasingly complex decisions that have important ramifications for both ecological and human systems. The scientists and technical professionals at the U.S. Geological Survey Fort Collins Science Center?many of whom are at the forefront of their fields?possess a unique blend of ecological, socioeconomic, and technological expertise. Because of this diverse talent, Fort Collins Science Center staff are able to apply a systems approach to investigating complicated ecological problems in a way that helps answer critical management questions. In addition, the Fort Collins Science Center has a long record of working closely with the academic community through cooperative agreements and other collaborations. The Fort Collins Science Center is deeply engaged with other U.S. Geological Survey science centers and partners throughout the Department of the Interior. As a regular practice, we incorporate the expertise of these partners in providing a full complement of ?the right people? to effectively tackle the multifaceted research problems of today's resource-management world.\r\n\r\nIn Fiscal Year 2009, the Fort Collins Science Center's scientific and technical professionals continued research vital to Department of the Interior's science and management needs. Fort Collins Science Center work also supported the science needs of other Federal and State agencies as well as non-government organizations. Specifically, Fort Collins Science Center research and technical assistance focused on client and partner needs and goals in the areas of biological information management and delivery, enterprise information, fisheries and aquatic systems, invasive species, status and trends of biological resources (including human dimensions), terrestrial ecosystems, and wildlife resources. In the process, Fort Collins Science Center science addressed natural-science information needs identified in the U.S. Geological Survey Science Strategy (http://www.usgs.gov/science_strategy), including understanding and predicting change in ecosystems, climate variability and change, energy development and land management, the role of the environment and wildlife in human health, freshwater ecosystems, data integration, and evolving technologies. Several science projects were expanded in Fiscal Year 2009 to meet these evolving needs. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101148","usgsCitation":"Wilson, J.T., 2010, Fort Collins Science Center-Fiscal year 2009 science accomplishments: U.S. Geological Survey Open-File Report 2010-1148, iv, 25 p.; Appendices, https://doi.org/10.3133/ofr20101148.","productDescription":"iv, 25 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":116036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1148.jpg"},{"id":13953,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1148/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,36 ], [ -96,42 ], [ -89,42 ], [ -89,36 ], [ -96,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48efe4b07f02db5586f0","contributors":{"authors":[{"text":"Wilson, Juliette T. (compiler)","contributorId":20844,"corporation":false,"usgs":true,"family":"Wilson","given":"Juliette","suffix":"(compiler)","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":305732,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98554,"text":"cir1351 - 2010 - Protocols for geologic hazards response by the Yellowstone Volcano Observatory to activity within the Yellowstone Volcanic System","interactions":[],"lastModifiedDate":"2025-08-14T19:14:33.253513","indexId":"cir1351","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1351","displayTitle":"Protocols for Geological Hazards Response by the Yellowstone Volcano Observatory to Activity within the Yellowstone Volcanic System","title":"Protocols for geologic hazards response by the Yellowstone Volcano Observatory to activity within the Yellowstone Volcanic System","docAbstract":"The Yellowstone Plateau hosts an active volcanic system, with subterranean magma (molten rock), boiling, pressurized waters, and a variety of active faults with significant earthquake hazards. Within the next few decades, light-to-moderate earthquakes and steam explosions are certain to occur. Volcanic eruptions are less likely, but are ultimately inevitable in this active volcanic region. This document summarizes protocols, policies, and tools to be used by the Yellowstone Volcano Observatory (YVO) during earthquakes, hydrothermal explosions, or any geologic activity that could lead to a volcanic eruption.
Yellowstone National Park is home to Yellowstone Caldera, the largest volcanic system by volume in the United States, as well as a vigorous hydrothermal system composed of pressurized subsurface boiling waters and active faults capable of generating substantial seismicity. The region is subject to hazards spanning a wide range of intensities, magnitudes, likelihood of occurrence, and geographic extent of impact. These hazards include small and comparatively common hydrothermal explosions, occasional strong earthquakes, rare relatively non-explosive lava flows, and very rare large explosive volcanic eruptions. Addressing the broad style of potential hazards and the vast spatial and temporal scales over which these hazards can occur requires a general plan that outlines the Yellowstone Volcano Observatory (YVO) response to a hazardous or potentially hazardous geological event or unrest (defined as departure from normal activity levels).
The U.S. Geological Survey (USGS) Volcano Science Center (VSC) Response Plan for Significant Volcanic Events in the United States (Moran and others, 2024) forms the basis of any response by YVO but will be modified to suit the specific characteristics of the observatory, which operates as a consortium of nine federal, state, and academic institutions. Decisions on declaring an event response or “activity with potential” (defined as unrest that is not immediately hazardous but that may evolve into a hazardous event), as well as any changes in Volcano Alert Level and Aviation Color Code or the release of formal Information Statements, will be made by the USGS via the YVO Scientist-in-Charge (SIC) in consultation with the leads of the YVO member agencies.
The YVO response to hazardous or potentially hazardous geological activity in or around Yellowstone National Park will focus on the collection and analysis of data relevant to the location and style of the activity. Those data will be interpreted within the existing geological framework for the region to develop probabilistic assessments of potential outcomes. These interpretations and assessments will be used to support decision making by emergency management officials including Yellowstone National Park managers or within the National Incident Management System if an Incident Command System (ICS) is activated. YVO will also convene a communications group open to each member agency to ensure consistent internal and external messaging and that the public is kept informed of the unrest through formal notifications, social media posts, online content, traditional media interviews, and community meetings.
This response plan will be evaluated and updated as needed by the observatory and will be available through the YVO and USGS public websites. Responses to volcanic eruptions and responses outside of the Yellowstone region, but within the YVO area of responsibility (including Arizona, Utah, New Mexico, and Colorado), will follow the U.S. Geological Survey Volcano Science Center Response Plan for Significant Volcanic Events in the United States (Moran and others, 2024).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1351","collaboration":"Prepared in cooperation with Yellowstone National Park, University of Utah, EarthScope Consortium, University of Wyoming, Montana Bureau of Mines and Geology, Idaho Geological Survey, Wyoming State Geological Survey, and Montana State University","usgsCitation":"Yellowstone Volcano Observatory, 2025, Protocols for geological hazards response by the Yellowstone Volcano Observatory to activity within the Yellowstone Volcanic System (ver. 3.0, January 2025): U.S. Geological Survey Circular 1351, 32 p., https://doi.org/10.3133/cir1351.","productDescription":"v, 32 p.","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-144015","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":494129,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93794.htm","linkFileType":{"id":5,"text":"html"}},{"id":489490,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1351/cir1351.pdf","text":"Report","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1351 PDF"},{"id":489514,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1351/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":490279,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/circ/1351/downloads/circ1351_v2.pdf","text":"Ver. 2.0 [Superseded]","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1351 ver. 2.0"},{"id":490280,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/circ/1351/downloads/c1351.pdf","text":"Ver. 1.0 [Superseded]","size":"3.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1351 ver. 1.0"},{"id":296524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1351/coverthb2.jpg"},{"id":490268,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1351/index.html","text":"USGS Index Page","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,44 ], [ -112,45 ], [ -110,45 ], [ -110,44 ], [ -112,44 ] ] ] } } ] }","edition":"Version 1.0: July 29, 2010; Version 2.0: November 5, 2014; Version 3.0: June 3, 2025","contact":"Yellowstone Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court, Suite 100
Vancouver, WA 98683
Email: yvowebteam@usgs.gov
","tableOfContents":"This paper details the historical coastal evolution of the Columbia River littoral cell in the Pacific Northwest of the United States. Geological data from A.D. 1700 and records leading up to the late 1800s provide insights to the natural system dynamics prior to significant human intervention, most notably jetty construction between 1885 and 1917. All reliable surveys, charts, and aerial photos are used to quantify decadal-scale changes at the three estuary entrances and four sub-cells of the littoral cell. Shoreline, bathymetric, and topographic change over three historical intervals—1870s–1920s, 1920s–1950s, and 1950s–1990s—are integrated to provide an understanding of sediment-sharing relationships among the littoral cell components. Regional morphological change data are developed for alongshore segments of approximately 5 km, enabling comparisons of shoreline change to upper-shoreface and barrier volume change within common compartments. The construction of entrance jetties at the Columbia River (1885–1917) and Grays Harbor (1898–1916) has profoundly affected the evolution of the littoral cell, and has accentuated the morphological coupling between the inlets, ebb-tidal deltas, shorefaces, and barriers. The jetties induced erosion of the inlets and offshore migration of ebb-tidal deltas. The change in boundary conditions at the entrances enabled waves to rework the flanks of ebb-tidal deltas and supply enormous quantities of sand to the adjacent coasts. Over several decades the initial sand pulses have been dispersed alongshore up to tens of kilometers from the estuary entrances. Winter waves and coastal currents produce net northward sediment transport across the shoreface while summer conditions tend to induce onshore sediment transport and accumulation of the upper shoreface and barriers at relatively high rates. Historical shoreline progradation rates since jetty construction are approximately double the late prehistoric rates between 1700 and the 1870s. Erosion rates of the mid- to lower shoreface to the south of the jettied estuary entrances have typically been greater than the accumulation rates of the upper shoreface and barrier, suggesting that the lower shoreface has been an important source of littoral sediments over decadal and longer time scales. Until recent decades, sediment supply from the ebb-tidal delta flanks and lower shoreface has largely masked the decline in Columbia River sediment supply resulting from flow regulation and dredging disposal practices. With the contemporary onset and expansion of coastal erosion adjacent to the jettied estuary entrances, proper management of dredged sediment is imperative to mitigate the effects of a declining sediment budget.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.02.006","usgsCitation":"Kaminsky, G.M., Ruggiero, Buijsman, M.C., McCandless, D., and Gelfenbaum, G.R., 2010, Historical evolution of the Columbia River littoral cell: Marine Geology, v. 273, no. 1-4, p. 96-126, https://doi.org/10.1016/j.margeo.2010.02.006.","productDescription":"31 p.","startPage":"96","endPage":"126","costCenters":[],"links":[{"id":406241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Grays Harbor, Willapa Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.9642333984375,\n 45.79050946752472\n ],\n [\n -122.80517578125,\n 45.84028105450088\n ],\n [\n -122.8216552734375,\n 47.364873807434094\n ],\n [\n -124.32678222656249,\n 47.34626718205302\n ],\n [\n -124.21142578125,\n 47.081344869872034\n ],\n [\n -124.20043945312499,\n 46.916503267244835\n ],\n [\n -124.1455078125,\n 46.830133640447386\n ],\n [\n -124.1180419921875,\n 46.74738913515841\n ],\n [\n -124.1015625,\n 46.67582559793001\n ],\n [\n -124.1290283203125,\n 46.27483447871404\n ],\n [\n -123.98620605468751,\n 46.11513371326539\n ],\n [\n -123.96972656249999,\n 46.01985337287631\n ],\n [\n -124.01367187499999,\n 45.947330315089275\n ],\n [\n -123.9642333984375,\n 45.79050946752472\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"273","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kaminsky, George M","contributorId":221036,"corporation":false,"usgs":false,"family":"Kaminsky","given":"George","email":"","middleInitial":"M","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":850936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":121401,"corporation":false,"usgs":true,"family":"Ruggiero","suffix":"Peter","affiliations":[],"preferred":false,"id":850937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buijsman, Maarten C.","contributorId":76340,"corporation":false,"usgs":true,"family":"Buijsman","given":"Maarten","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCandless, Diana","contributorId":187530,"corporation":false,"usgs":false,"family":"McCandless","given":"Diana","email":"","affiliations":[],"preferred":false,"id":850939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":850940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70040059,"text":"70040059 - 2010 - 2009 Data Summary USA-NPN Technical Series","interactions":[],"lastModifiedDate":"2016-05-17T14:17:03","indexId":"70040059","displayToPublicDate":"2010-08-01T01:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":95,"text":"USA-NPN Technical Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2010-002","title":"2009 Data Summary USA-NPN Technical Series","docAbstract":"The USA National Phenology Network (USA-NPN) engages volunteer observers to collect phenology observations of plants and animals using consistent standards and to contribute to the USA-NPN National Phenology Database. In March 2009, the USA-NPN National Coordinating Office implemented an online monitoring program for 213 plant species.
\nIn this pilot year of the program, 547 observers reported phenology observations on one or more plants via an online interface. There was substantial national interest in participating in this program, focused only on plants and with minimal advertising or marketing, which resulted in fifteen hundred new registrants, a thousand new sites, and tens of thousands of observations on 133 plant species across the nation in less than a year.
\nParticipants tended to stay involved, reporting most phenophases for an average of nine unique dates over almost two months during the year. This suggests sustained interest in participation and that the online interface and status monitoring engage the public, keeping them involved in the project and in participatory monitoring and outdoor activities.
\nThe data collected by participants show interesting patterns of plant phenology on regional to national scales that are commensurate with our understanding of climatological gradients associated with latitude, longitude, elevation, and degree of continentality. As such, these data should be useful to a variety of stakeholders interested in the spatial and temporal patterns of plant activity on a national scale. Through time, these data should empower scientists, resource managers, and the public in making decisions concerning adaptation to variable and changing climates and environments.
","language":"English","publisher":"USA National Phenology Network","usgsCitation":"Crimmins, T., Rosemartin, A.H., Thomas, K.A., Marsh, R.L., Denny, E.G., and Weltzin, J., 2010, 2009 Data Summary USA-NPN Technical Series: USA-NPN Technical Series 2010-002, 20 p.","productDescription":"20 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032425","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":321340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321339,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usanpn.org/pubs/reports#USA-NPN_Technical_Series"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d642ee4b07e28b66833eb","contributors":{"authors":[{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":629644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":629645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":629646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsh, R. 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The final EPA maps with 250-m spatial resolution were categorized as normal performance, underperformance, and overperformance (observed performance relative to weather-based predictions) at the 90% level of confidence. The EPA maps were validated using “percentage of bare soil” ground observations. The validation results at locations with comparable site potential showed that regions identified as persistently underperforming (overperforming) tended to have a higher (lower) percentage of bare soil, suggesting that our preliminary EPA maps are reliable and agree with ground-based observations. The 3-year (2005–2007) persistent EPA map from this study provides the first quantitative evaluation of ecosystem performance anomalies within the UCRB and will help the Bureau of Land Management (BLM) identify potentially degraded lands. Results from this study can be used as a prototype by BLM and other land managers for making optimal land management decisions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI","doi":"10.3390/rs2081880","usgsCitation":"Gu, Y., and Wylie, B.K., 2010, Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models: Remote Sensing, v. 2, no. 8, p. 1880-1891, https://doi.org/10.3390/rs2081880.","startPage":"1880","endPage":"1891","ipdsId":"IP-021971","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs2081880","text":"Publisher Index Page"},{"id":267415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267414,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs2081880"}],"country":"United States","volume":"2","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-07-29","publicationStatus":"PW","scienceBaseUri":"511e1583e4b071e86a19a439","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":473106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200865,"text":"70200865 - 2010 - The thermal signature of volcanic eruptions on Io and Earth,","interactions":[],"lastModifiedDate":"2018-11-07T16:46:30","indexId":"70200865","displayToPublicDate":"2010-07-30T16:45:38","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The thermal signature of volcanic eruptions on Io and Earth,","docAbstract":"We investigate a spectrum-based technique to identify the style of active volcanic eruptions on Jupiter's moon Io. Thermal remote sensing of Io has had to rely primarily on low-spatial-resolution data, similar to low-spatial-resolution satellite data applied to detecting and charting the temporal evolution of terrestrial hot spots. These terrestrial analyses use data from sensors designed to monitor the weather and sea surface temperature. On Io, such low-spatial-resolution data are used to classify eruption styles (modes of emplacement) by means of several criteria related to the temporal evolution of the infrared spectrum associated with the eruptive activity at each hot spot, which we term “thermal signature.” We find that the ratio of the emission at 2 and 5 µm, and how this ratio changes with time, is often diagnostic of eruption style, even in low-spatial-resolution data. Tests using thermal data for terrestrial “ground truth” cases show that our classification system is valid on Earth. The results of our analysis can be used to aid in the design of future space-based instruments that can be used for volcano monitoring on Io, as well as Earth.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2010.04.009","usgsCitation":"Davies, A., Keszthelyi, L., and Harris, A.J., 2010, The thermal signature of volcanic eruptions on Io and Earth,: Journal of Volcanology and Geothermal Research, v. 194, no. 4, p. 75-99, https://doi.org/10.1016/j.jvolgeores.2010.04.009.","productDescription":"25 p.","startPage":"75","endPage":"99","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be40825e4b0b3fc5cf7cc12","contributors":{"authors":[{"text":"Davies, Ashley G.","contributorId":36827,"corporation":false,"usgs":true,"family":"Davies","given":"Ashley G.","affiliations":[],"preferred":false,"id":750974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":750975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Andrew J. L.","contributorId":169434,"corporation":false,"usgs":false,"family":"Harris","given":"Andrew","email":"","middleInitial":"J. L.","affiliations":[],"preferred":false,"id":750976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159150,"text":"70159150 - 2010 - Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors","interactions":[],"lastModifiedDate":"2017-05-10T15:50:14","indexId":"70159150","displayToPublicDate":"2010-07-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors","docAbstract":"Different applications and technology developments in Earth observations necessarily require different spectral coverage. Thus, even for the spectral bands designed to look at the same region of the electromagnetic spectrum, the relative spectral responses (RSR) of different sensors may be different. In this study, spectral band adjustment factors (SBAF) are derived using hyperspectral Earth Observing-1 (EO-1) Hyperion measurements to adjust for the spectral band differences between the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) top-of-atmosphere (TOA) reflectance measurements from 2000 to 2009 over the pseudo-invariant Libya 4 reference standard test site.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010 : 25 - 30 July 2010, Honolulu, Hawaii, USA","conferenceTitle":"2010 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 25-30, 2010","conferenceLocation":"Piscataway, N.J.","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/IGARSS.2010.5652746","usgsCitation":"Chander, G., Mishra, N., Helder, D.L., Aaron, D., Choi, T., Angal, A., and Xiong, X., 2010, Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010 : 25 - 30 July 2010, Honolulu, Hawaii, USA, Piscataway, N.J., July 25-30, 2010, p. 1667-1670, https://doi.org/10.1109/IGARSS.2010.5652746.","productDescription":"4 p,","startPage":"1667","endPage":"1670","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022546","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":309971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5620cec6e4b06217fc478b3d","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":577709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mishra, N.","contributorId":67379,"corporation":false,"usgs":true,"family":"Mishra","given":"N.","email":"","affiliations":[],"preferred":false,"id":577710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":577711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":577712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, T.","contributorId":48698,"corporation":false,"usgs":true,"family":"Choi","given":"T.","affiliations":[],"preferred":false,"id":577713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angal, A.","contributorId":52716,"corporation":false,"usgs":true,"family":"Angal","given":"A.","affiliations":[],"preferred":false,"id":577714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiong, X.","contributorId":37885,"corporation":false,"usgs":true,"family":"Xiong","given":"X.","affiliations":[],"preferred":false,"id":577715,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159151,"text":"70159151 - 2010 - Operational calibration and validation of landsat data continuity mission (LDCM) sensors using the image assessment system (IAS)","interactions":[],"lastModifiedDate":"2017-04-25T16:26:59","indexId":"70159151","displayToPublicDate":"2010-07-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Operational calibration and validation of landsat data continuity mission (LDCM) sensors using the image assessment system (IAS)","docAbstract":"Systematic characterization and calibration of the Landsat sensors and the assessment of image data quality are performed using the Image Assessment System (IAS). The IAS was first introduced as an element of the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) ground segment and recently extended to Landsat 4 (L4) and 5 (L5) Thematic Mappers (TM) and Multispectral Sensors (MSS) on-board the Landsat 1-5 satellites. In preparation for the Landsat Data Continuity Mission (LDCM), the IAS was developed for the Earth Observer 1 (EO-1) Advanced Land Imager (ALI) with a capability to assess pushbroom sensors. This paper describes the LDCM version of the IAS and how it relates to unique calibration and validation attributes of its on-board imaging sensors. The LDCM IAS system will have to handle a significantly larger number of detectors and the associated database than the previous IAS versions. An additional challenge is that the LDCM IAS must handle data from two sensors, as the LDCM products will combine the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) spectral bands.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International","conferenceTitle":"Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International","conferenceDate":"July 25-30 2010","conferenceLocation":"Honolulu, Hawaii","language":"English","publisher":"Institute of Electrical and Electronics Engineers, Inc.","doi":"10.1109/IGARSS.2010.5652207","usgsCitation":"Micijevic, E., and Morfitt, R., 2010, Operational calibration and validation of landsat data continuity mission (LDCM) sensors using the image assessment system (IAS), in Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International, Honolulu, Hawaii, July 25-30 2010, p. 2291-2294, https://doi.org/10.1109/IGARSS.2010.5652207.","productDescription":"4 p.","startPage":"2291","endPage":"2294","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022394","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":309972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5620ce8ce4b06217fc478b02","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":577716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":577717,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70158977,"text":"70158977 - 2010 - Golden Gate Bridge response: a preliminary study with low amplitude earthquake data","interactions":[],"lastModifiedDate":"2021-10-22T14:01:40.904853","indexId":"70158977","displayToPublicDate":"2010-07-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Golden Gate Bridge response: a preliminary study with low amplitude earthquake data","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"9th US National and 10th Canadian Conference on Earthquake Engineering : reaching beyond borders = 9ième Conférence Nationale Américaine et 10ième Conférence Canadienne de Génie Parasismique : au delà des frontières","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th US National and 10th Canadian Conference on Earthquake Engineering 2010","conferenceDate":"July 25-29, 2010","conferenceLocation":"Toronto, Canada","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Çelebi, M., Stephens, C., and Kalkan, E., 2010, Golden Gate Bridge response: a preliminary study with low amplitude earthquake data, in 9th US National and 10th Canadian Conference on Earthquake Engineering : reaching beyond borders = 9ième Conférence Nationale Américaine et 10ième Conférence Canadienne de Génie Parasismique : au delà des frontières, v. 5, Toronto, Canada, July 25-29, 2010, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021482","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":309803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Golden Gate Bridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.48004913330077,\n 37.83405614418896\n ],\n [\n -122.47610092163085,\n 37.81127577036112\n ],\n [\n -122.47386932373047,\n 37.80666460115532\n ],\n [\n -122.47816085815431,\n 37.80381638220771\n ],\n [\n -122.48296737670898,\n 37.83297152392784\n ],\n [\n -122.48004913330077,\n 37.83405614418896\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5618e530e4b0cdb063e3fed8","contributors":{"authors":[{"text":"Çelebi, Mehmet","contributorId":27493,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","affiliations":[],"preferred":false,"id":577117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephens, Christopher","contributorId":33582,"corporation":false,"usgs":true,"family":"Stephens","given":"Christopher","affiliations":[],"preferred":false,"id":577118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":577119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98550,"text":"sir20105142 - 2010 - Hydrogeology and numerical simulation of the unconsolidated glacial aquifer in the Pootatuck River Basin, Newtown, Connecticut","interactions":[],"lastModifiedDate":"2012-03-08T17:16:16","indexId":"sir20105142","displayToPublicDate":"2010-07-29T00:00:00","publicationYear":"2010","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":"2010-5142","title":"Hydrogeology and numerical simulation of the unconsolidated glacial aquifer in the Pootatuck River Basin, Newtown, Connecticut","docAbstract":"A study of the groundwater and stream-aquifer interaction in the Pootatuck River Basin, Newtown, Connecticut, was conducted to analyze the effect of production wells on the groundwater levels and streamflow in the Pootatuck River as part of a cooperative program between the U.S. Geological Survey and Newtown, Connecticut. This study will help address concerns about the increasing competition for water for human uses and protection of aquatic habitat. The groundwater-flow model developed in the study was designed for use as a tool to assist planners in assessing the effects of potential future development, which will change the amount and distribution of recharge available to the groundwater system.\r\n\r\nSeveral different techniques were used to investigate the interconnection between the stream and the aquifer. Temperature, groundwater levels, stream stage, and stable-isotope data collected during aquifer tests at the principal production wells in the Pootatuck River Basin, as well as groundwater-flow simulations of the system, indicate that more than half of the water pumped from the wells comes from the Pootatuck River. This finding potentially has a large effect on approaches for protecting the water quality of the pumped water. Increases in the amount of impervious surface from future development will reduce and redistribute recharge to the groundwater system. The simulation of future development scenarios showed a decrease in the simulated base flow in the main stem of the Pootatuck River and in all of the 26 simulated subbasins, with some of the subbasins showing a decrease of more than 20 percent when new development had 85 percent impervious area.\r\n\r\nThe groundwater-flow model and particle tracking were used to determine areas that contribute recharge to the five production wells available for use in the Pootatuck River Basin. These areas included narrow portions of the aquifer that extended beyond the immediate upgradient areas, probably because of deeper groundwater-flow paths. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105142","collaboration":"Prepared in cooperation with the Town of Newtown, Connecticut","usgsCitation":"Carlson, C.S., Mondazzi, R.A., Bjerklie, D.M., and Brown, C., 2010, Hydrogeology and numerical simulation of the unconsolidated glacial aquifer in the Pootatuck River Basin, Newtown, Connecticut: U.S. Geological Survey Scientific Investigations Report 2010-5142, ix, 84p. ; Appendices, https://doi.org/10.3133/sir20105142.","productDescription":"ix, 84p. ; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":13945,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5142/","linkFileType":{"id":5,"text":"html"}},{"id":165526,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.36666666666666,41.31666666666667 ], [ -73.36666666666666,41.45 ], [ -73.21666666666667,41.45 ], [ -73.21666666666667,41.31666666666667 ], [ -73.36666666666666,41.31666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db692058","contributors":{"authors":[{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mondazzi, Remo A.","contributorId":77898,"corporation":false,"usgs":true,"family":"Mondazzi","given":"Remo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":305709,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98548,"text":"ds517 - 2010 - Environmental and biological data for assessment of the nutrient enrichment effects on agricultural stream ecosystems, 2006-08: A project of the National Water-Quality Assessment Program","interactions":[],"lastModifiedDate":"2022-05-11T21:30:42.028539","indexId":"ds517","displayToPublicDate":"2010-07-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"517","title":"Environmental and biological data for assessment of the nutrient enrichment effects on agricultural stream ecosystems, 2006-08: A project of the National Water-Quality Assessment Program","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds517","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Brightbill, R.A., and Frankforter, J.D., 2010, Environmental and biological data for assessment of the nutrient enrichment effects on agricultural stream ecosystems, 2006-08: A project of the National Water-Quality Assessment Program: U.S. Geological Survey Data Series 517, Report: vi, 12 p; 13 Appendices, https://doi.org/10.3133/ds517.","productDescription":"Report: vi, 12 p; 13 Appendices","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":116031,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_517.jpg"},{"id":400558,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93781.htm"},{"id":400557,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/517/"}],"country":"United States","otherGeospatial":"Ozark Plateau, Upper Mississippi River Basin, Upper Snake River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116,\n 36\n ],\n [\n -90,\n 36\n ],\n [\n -90,\n 47\n ],\n [\n -116,\n 47\n ],\n [\n -116,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db66738c","contributors":{"authors":[{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankforter, Jill D. 0000-0003-0371-2313 jdfrankf@usgs.gov","orcid":"https://orcid.org/0000-0003-0371-2313","contributorId":1739,"corporation":false,"usgs":true,"family":"Frankforter","given":"Jill","email":"jdfrankf@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305704,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98545,"text":"ofr20101124 - 2010 - Spatial Databases of Geological, Geophysical, and Mineral Resource Data Relevant to Sandstone-Hosted Copper Deposits in Central Kazakhstan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"ofr20101124","displayToPublicDate":"2010-07-24T00:00:00","publicationYear":"2010","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":"2010-1124","title":"Spatial Databases of Geological, Geophysical, and Mineral Resource Data Relevant to Sandstone-Hosted Copper Deposits in Central Kazakhstan","docAbstract":"Central Kazakhstan is host to one of the world's giant sandstone-hosted copper deposits, the Dzhezkazgan deposit, and several similar, smaller deposits. The United Stated Geological Survey (USGS) is assessing the potential for other, undiscovered deposits of this type in the surrounding region of central Kazakhstan. As part of this effort, Syusyura compiled and partially translated an array of mostly unpublished geologic, geophysical, and mineral resource data for this region in digital format from the archives of the former Union of Soviet Socialists Republics (of which Kazakhstan was one of the member republics until its dissolution in 1991), as well as from later archives of the Republic of Kazakhstan or of the Kazakhstan consulting firm Mining Economic Consulting (MEC). These digital data are primarily map-based displays of information that were transmitted either in ESRI ArcGIS, georeferenced format, or non-georeferenced map image files. Box and Wallis reviewed all the data, translated Cyrillic text where necessary, inspected the maps for consistency, georeferenced the unprojected map images, and reorganized the data into the filename and folder structure of this publication. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101124","usgsCitation":"Syusyura, B., Box, S.E., and Wallis, J., 2010, Spatial Databases of Geological, Geophysical, and Mineral Resource Data Relevant to Sandstone-Hosted Copper Deposits in Central Kazakhstan: U.S. Geological Survey Open-File Report 2010-1124, Report: iii, 4 p.; Appendices, https://doi.org/10.3133/ofr20101124.","productDescription":"Report: iii, 4 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":125957,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1124.jpg"},{"id":13940,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1124/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 54.10027777777778,39.88388888888889 ], [ 54.10027777777778,56.50111111111111 ], [ 91.83444444444444,56.50111111111111 ], [ 91.83444444444444,39.88388888888889 ], [ 54.10027777777778,39.88388888888889 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e7098","contributors":{"authors":[{"text":"Syusyura, Boris","contributorId":72104,"corporation":false,"usgs":true,"family":"Syusyura","given":"Boris","email":"","affiliations":[],"preferred":false,"id":305697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":305695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallis, John C.","contributorId":45755,"corporation":false,"usgs":true,"family":"Wallis","given":"John C.","affiliations":[],"preferred":false,"id":305696,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98546,"text":"ds514 - 2010 - Swath Bathymetry Surveys of the Monterey Bay Area from Point Ano Nuevo to Moss Landing, San Mateo, Santa Cruz, and Monterey Counties, California","interactions":[],"lastModifiedDate":"2019-05-29T08:14:15","indexId":"ds514","displayToPublicDate":"2010-07-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"514","title":"Swath Bathymetry Surveys of the Monterey Bay Area from Point Ano Nuevo to Moss Landing, San Mateo, Santa Cruz, and Monterey Counties, California","docAbstract":"This report describes swath bathymetry and backscatter data acquired by the U.S. Geological Survey on the continental shelf within the Monterey Bay National Marine Sanctuary between Point Año Nuevo and Moss Landing, in San Mateo, Santa Cruz, and Monterey Counties, Calif. The survey was done for the California Seafloor Mapping Program (CSMP), in field activities S-7-09-MB and S-10-09-MB, by the Western Coastal and Marine Geology (WCMG) Team of the U.S. Geological Survey (USGS).
The data were acquired in two separate surveys: (1) between August 13, 2009 and September 3, 2009, personnel from WCMG completed field activity S-7-09-MB, from Point Año Nuevo south to Table Rock, as well as a block west of Soquel Canyon; (2) between October 12 and December 16, 2009, WCMG conducted field activity S-10-09-MB, surveying between Table Rock and Moss Landing.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds514","usgsCitation":"Ritchie, A.C., Finlayson, D.P., and Logan, J., 2010, Swath Bathymetry Surveys of the Monterey Bay Area from Point Ano Nuevo to Moss Landing, San Mateo, Santa Cruz, and Monterey Counties, California: U.S. Geological Survey Data Series 514, HTML Document, https://doi.org/10.3133/ds514.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":202962,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/514/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.33361111111111,36.784166666666664 ], [ -122.33361111111111,37.10111111111111 ], [ -121.78333333333333,37.10111111111111 ], [ -121.78333333333333,36.784166666666664 ], [ -122.33361111111111,36.784166666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687f63","contributors":{"authors":[{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":305700,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98544,"text":"fs20103057 - 2010 - Water use trends in Washington, 1985-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"fs20103057","displayToPublicDate":"2010-07-23T00:00:00","publicationYear":"2010","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":"2010-3057","title":"Water use trends in Washington, 1985-2005","docAbstract":"Since 1950, the U.S. Geological Survey Washington Water Science Center (USGS-WAWSC) has collected, compiled, and published, at 5-year intervals, statewide estimates of the amounts of water withdrawn and used for various purposes in Washington State. As new data and methods became available, some of the original datasets were recompiled. The most recent versions of these datasets were used in this fact sheet. The datasets are available online along with other USGS-WAWSC water-use publications at the USGS-WAWSC water use web page: http://wa.water.usgs.gov/data/wuse/. Values on these datasets and in this fact sheet may not sum to the indicated total due to independent rounding.\r\n\r\nDue to variations in data requirements, collection methods, terminology, and data sources, the direct assessment of water-use trends between compilations is difficult. This fact sheet focuses on the trends in total State and public-supplied populations, freshwater withdrawals and use, public-supply withdrawals and deliveries, and crop irrigation withdrawals and acreage in Washington from 1985 through 2005. These four categories were included in all five compilations and were the most stable in terms of data requirements, collection methods, terminology, and data sources.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103057","usgsCitation":"Lane, R.C., 2010, Water use trends in Washington, 1985-2005: U.S. Geological Survey Fact Sheet 2010-3057, 4 p., https://doi.org/10.3133/fs20103057.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1985-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125955,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3057.jpg"},{"id":13935,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3057/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d1e4b07f02db547b87","contributors":{"authors":[{"text":"Lane, R. C.","contributorId":6421,"corporation":false,"usgs":true,"family":"Lane","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305694,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98542,"text":"ofr20101139 - 2010 - Preliminary assessment of factors influencing riverine fish communities in Massachusetts","interactions":[],"lastModifiedDate":"2019-12-26T15:57:09","indexId":"ofr20101139","displayToPublicDate":"2010-07-23T00:00:00","publicationYear":"2010","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":"2010-1139","title":"Preliminary assessment of factors influencing riverine fish communities in Massachusetts","docAbstract":"The U.S. Geological Survey, in cooperation with the Massachusetts Department of Conservation and Recreation (MDCR), Massachusetts Department of Environmental Protection (MDEP), and the Massachusetts Department of Fish and Game (MDFG), conducted a preliminary investigation of fish communities in small- to medium-sized Massachusetts streams. The objective of this investigation was to determine relations between fish-community characteristics and anthropogenic alteration, including flow alteration and impervious cover, relative to the effect of physical basin and land-cover (environmental) characteristics. Fish data were obtained for 756 fish-sampling sites from the Massachusetts Division of Fisheries and Wildlife fish-community database. A review of the literature was used to select a set of fish metrics responsive to flow alteration. Fish metrics tested include two fish-community metrics (fluvial-fish relative abundance and fluvial-fish species richness), and five indicator species metrics (relative abundance of brook trout, blacknose dace, fallfish, white sucker, and redfin pickerel). Streamflows were simulated for each fish-sampling site using the Sustainable Yield Estimator application (SYE). Daily streamflows and the SYE water-use database were used to determine a set of indicators of flow alteration, including percent alteration of August median flow, water-use intensity, and withdrawal and return-flow fraction. The contributing areas to the fish-sampling sites were delineated and used with a Geographic Information System (GIS) to determine a set of environmental characteristics, including elevation, basin slope, percent sand and gravel, percent wetland, and percent open water, and a set of anthropogenic-alteration variables, including impervious cover and dam density.\r\n\r\nTwo analytical techniques, quantile regression and generalized linear modeling, were applied to determine the association between fish-response variables and the selected environmental and anthropogenic explanatory variables. Quantile regression indicated that flow alteration and impervious cover were negatively associated with both fluvial-fish relative abundance and fluvial-fish species richness. Three generalized linear models (GLMs) were developed to quantify the response of fish communities to multiple environmental and anthropogenic variables. Flow-alteration variables are statistically significant for the fluvial-fish relative-abundance model.\r\n\r\nImpervious cover is statistically significant for the fluvial-fish relative-abundance, fluvial-fish species richness, and brook trout relative-abundance models. The variables in the equations were demonstrated to be significant, and the variability explained by the models, as measured by the correlation between observed and predicted values, ranges from 39 to 65 percent. The GLM models indicated that, keeping all other variables the same, a one-unit (1 percent) increase in the percent depletion or percent surcharging of August median flow would result in a 0.4-percent decrease in the relative abundance (in counts per hour) of fluvial fish and that the relative abundance of fluvial fish was expected to be about 55 percent lower in net-depleted streams than in net-surcharged streams. The GLM models also indicated that a unit increase in impervious cover resulted in a 5.5-percent decrease in the relative abundance of fluvial fish and a 2.5-percent decrease in fluvial-fish species richness.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101139","collaboration":"Prepared in cooperation with the \r\nMassachusetts Department of Conservation and Recreation, the\r\nMassachusetts Department of Environmental Protection, and the Massachusetts Department of Fish and Game\r\n","usgsCitation":"Armstrong, D.S., Richards, T.A., and Brandt, S.L., 2010, Preliminary assessment of factors influencing riverine fish communities in Massachusetts: U.S. Geological Survey Open-File Report 2010-1139, ix, 43 p., https://doi.org/10.3133/ofr20101139.","productDescription":"ix, 43 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":376,"text":"Massachusetts Water Science 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a15e4b07f02db603195","contributors":{"authors":[{"text":"Armstrong, David S. 0000-0003-1695-1233 darmstro@usgs.gov","orcid":"https://orcid.org/0000-0003-1695-1233","contributorId":1390,"corporation":false,"usgs":true,"family":"Armstrong","given":"David","email":"darmstro@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Todd A.","contributorId":52266,"corporation":false,"usgs":true,"family":"Richards","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Sara L.","contributorId":89240,"corporation":false,"usgs":true,"family":"Brandt","given":"Sara","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305689,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175002,"text":"70175002 - 2010 - Survival of feral cats, Felis catus (Carnivora: Felidae), on Mauna Kea, Hawai'i, based on tooth cementum lines","interactions":[],"lastModifiedDate":"2018-01-04T12:54:04","indexId":"70175002","displayToPublicDate":"2010-07-22T14:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Survival of feral cats, Felis catus (Carnivora: Felidae), on Mauna Kea, Hawai'i, based on tooth cementum lines","docAbstract":"Feral cats (Felis catus) have spread throughout anthropogenic and insular environments of the world. They now threaten many species of native wildlife with chronic depredation. Knowledge of feral cat population dynamics is necessary to understand their ecological effects and to develop effective control strategies. However, there are few studies worldwide regarding annual or lifetime survival rates in remote systems, and none on Pacific islands. We constructed the age distribution and estimated survival of feral cats in a remote area of Hawai'i Island using cementum lines present in lower canine teeth. Our data suggest annual cementum line formation. A log-linear model estimated annual survival ≥ 1 yr of age to be 0.647. Relatively high survival coupled with high reproductive output allows individual cats to affect native wildlife for many years and cat populations to rebound quickly after control efforts.
","language":"English","publisher":"University of Hawai'i Press","publisherLocation":"Honolulu, HI","doi":"10.2984/64.3.381","usgsCitation":"Danner, R.M., Farmer, C., Hess, S., Stephens, R.M., and Banko, P.C., 2010, Survival of feral cats, Felis catus (Carnivora: Felidae), on Mauna Kea, Hawai'i, based on tooth cementum lines: Pacific Science, v. 64, no. 3, p. 381-389, https://doi.org/10.2984/64.3.381.","productDescription":"8 p.","startPage":"381","endPage":"389","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012399","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":325650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.38650512695312,\n 19.903636146415863\n ],\n [\n -155.44143676757812,\n 19.913965885756145\n ],\n [\n -155.47714233398438,\n 19.91783936409827\n ],\n [\n -155.50872802734375,\n 19.9100923125452\n ],\n [\n -155.58837890625,\n 19.845518806331246\n ],\n [\n -155.61721801757812,\n 19.85326901590216\n ],\n [\n -155.643310546875,\n 19.837768218373313\n ],\n [\n -155.643310546875,\n 19.797717490704738\n ],\n [\n -155.58975219726562,\n 19.770580624242616\n ],\n [\n -155.533447265625,\n 19.73956140498458\n ],\n [\n -155.51010131835938,\n 19.727927643457424\n ],\n [\n -155.46340942382812,\n 19.711121825769855\n ],\n [\n -155.41397094726562,\n 19.724049534671522\n ],\n [\n -155.379638671875,\n 19.76282638490852\n ],\n [\n -155.35766601562497,\n 19.796425363822532\n ],\n [\n -155.35491943359375,\n 19.830017252151734\n ],\n [\n -155.35629272460938,\n 19.872642883577086\n ],\n [\n -155.38650512695312,\n 19.903636146415863\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579889cae4b0589fa1c6bb83","contributors":{"authors":[{"text":"Danner, Raymond M.","contributorId":69475,"corporation":false,"usgs":true,"family":"Danner","given":"Raymond","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farmer, Chris cfarmer@usgs.gov","contributorId":3681,"corporation":false,"usgs":true,"family":"Farmer","given":"Chris","email":"cfarmer@usgs.gov","affiliations":[],"preferred":true,"id":643567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, Steven C. shess@usgs.gov","contributorId":150178,"corporation":false,"usgs":true,"family":"Hess","given":"Steven C.","email":"shess@usgs.gov","affiliations":[],"preferred":false,"id":643568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephens, Robert M.","contributorId":150182,"corporation":false,"usgs":false,"family":"Stephens","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":17932,"text":"PCSU, robertms@hawaii.edu","active":true,"usgs":false}],"preferred":false,"id":643569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":643570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98535,"text":"sir20105069 - 2010 - Occurrence and distribution of dissolved solids, selenium, and uranium in groundwater and surface water in the Arkansas River Basin from the headwaters to Coolidge, Kansas, 1970-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sir20105069","displayToPublicDate":"2010-07-22T00:00:00","publicationYear":"2010","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":"2010-5069","title":"Occurrence and distribution of dissolved solids, selenium, and uranium in groundwater and surface water in the Arkansas River Basin from the headwaters to Coolidge, Kansas, 1970-2009","docAbstract":"In 2007, the U.S. Geological Survey (USGS), in cooperation with City of Aurora, Colorado Springs Utilities, Colorado Water Conservation Board, Lower Arkansas Valley Water Conservancy District, Pueblo Board of Water Works, Southeastern Colorado Water Activity Enterprise, Southeastern Colorado Water Conservancy District, and Upper Arkansas Water Conservancy District began a retrospective evaluation to characterize the occurrence and distribution of dissolved-solids (DS), selenium, and uranium concentrations in groundwater and surface water in the Arkansas River Basin based on available water-quality data collected by several agencies. This report summarizes and characterizes available DS, dissolved-selenium, and dissolved-uranium concentrations in groundwater and surface water for 1970-2009 and describes DS, dissolved-selenium, and dissolved-uranium loads in surface water along the main-stem Arkansas River and selected tributary and diversion sites from the headwaters near Leadville, Colorado, to the USGS 07137500 Arkansas River near Coolidge, Kansas (Ark Coolidge), streamgage, a drainage area of 25,410 square miles.\r\n\r\nDissolved-solids concentrations varied spatially in groundwater and surface water in the Arkansas River Basin. Dissolved-solids concentrations in groundwater from Quaternary alluvial, glacial drift, and wind-laid deposits (HSU 1) increased downgradient with median values of about 220 mg/L in the Upper Arkansas subbasin (Arkansas River Basin from the headwaters to Pueblo Reservoir) to about 3,400 mg/L in the Lower Arkansas subbasin (Arkansas River Basin from John Martin Reservoir to Ark Coolidge). Dissolved-solids concentrations in the Arkansas River also increased substantially in the downstream direction between the USGS 07086000 Arkansas River at Granite, Colorado (Ark Granite), and Ark Coolidge streamgages. Based on periodic data collected from 1976-2007, median DS concentrations in the Arkansas River ranged from about 64 mg/L at Ark Granite to about 4,060 mg/L at Ark Coolidge representing over a 6,000 percent increase in median DS concentrations.\r\n\r\nTemporal variations in specific conductance values (which are directly related to DS concentrations) and seasonal variations in DS concentrations and loads were investigated at selected sites in the Arkansas River from Ark Granite to Ark Coolidge. Analyses indicated that, for the most part, specific conductance values (surrogate for DS concentrations) have remained relatively constant or have decreased in the Arkansas River since about 1970. Dissolved-solids concentrations in the Arkansas River were higher during the nonirrigation season (November-February) than during the irrigation season (March-October). Average annual DS loads, however, were higher during the irrigation season than during the nonirrigation season. Average annual DS loads during the irrigation season were at least two times and as much as 23 times higher than average annual DS loads during the nonirrigation season with the largest differences occurring at sites located downstream from the two main-stem reservoirs at USGS 07099400 Arkansas River above Pueblo, Colorado (Ark Pueblo), (which is below Pueblo Reservoir) and USGS 07130500 Arkansas River below John Martin Reservoir, Colorado (Ark below JMR).\r\n\r\nView report for unabridged abstract.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105069","collaboration":"City of Aurora, Colorado Springs Utilities, Colorado Water Conservation Board, Lower Arkansas Valley Water Conservancy District, Pueblo Board of Water Works, Southeastern Colorado Water Activity Enterprise, Southeastern Colorado Water Conservancy District, Upper Arkansas Water Conservancy District","usgsCitation":"Miller, L.D., Watts, K.R., Ortiz, R.F., and Ivahnenko, 2010, Occurrence and distribution of dissolved solids, selenium, and uranium in groundwater and surface water in the Arkansas River Basin from the headwaters to Coolidge, Kansas, 1970-2009: U.S. Geological Survey Scientific Investigations Report 2010-5069, x, 56 p.; Appendices, https://doi.org/10.3133/sir20105069.","productDescription":"x, 56 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1970-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125947,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5069.jpg"},{"id":13925,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5069/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107,37 ], [ -107,39.333333333333336 ], [ -102,39.333333333333336 ], [ -102,37 ], [ -107,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696271","contributors":{"authors":[{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kenneth R. krwatts@usgs.gov","contributorId":1647,"corporation":false,"usgs":true,"family":"Watts","given":"Kenneth","email":"krwatts@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortiz, Roderick F. rfortiz@usgs.gov","contributorId":1126,"corporation":false,"usgs":true,"family":"Ortiz","given":"Roderick","email":"rfortiz@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivahnenko","contributorId":127984,"corporation":true,"usgs":false,"organization":"Ivahnenko","id":535031,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98541,"text":"ofr20101151 - 2010 - Applying probabilistic well-performance parameters to assessments of shale-gas resources","interactions":[],"lastModifiedDate":"2012-08-31T01:01:45","indexId":"ofr20101151","displayToPublicDate":"2010-07-22T00:00:00","publicationYear":"2010","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":"2010-1151","title":"Applying probabilistic well-performance parameters to assessments of shale-gas resources","docAbstract":"In assessing continuous oil and gas resources, such as shale gas, it is important to describe not only the ultimately producible volumes, but also the expected well performance. This description is critical to any cost analysis or production scheduling. A probabilistic approach facilitates (1) the inclusion of variability in well performance within a continuous accumulation, and (2) the use of data from developed accumulations as analogs for the assessment of undeveloped accumulations.\n\nIn assessing continuous oil and gas resources of the United States, the U.S. Geological Survey analyzed production data from many shale-gas accumulations. Analyses of four of these accumulations (the Barnett, Woodford, Fayetteville, and Haynesville shales) are presented here as examples of the variability of well performance. For example, the distribution of initial monthly production rates for Barnett vertical wells shows a noticeable change with time, first increasing because of improved completion practices, then decreasing from a combination of decreased reservoir pressure (in infill wells) and drilling in less productive areas.\n\nWithin a partially developed accumulation, historical production data from that accumulation can be used to estimate production characteristics of undrilled areas. An understanding of the probabilistic relations between variables, such as between initial production and decline rates, can improve estimates of ultimate production. Time trends or spatial trends in production data can be clarified by plots and maps. The data can also be divided into subsets depending on well-drilling or well-completion techniques, such as vertical in relation to horizontal wells.\n\nFor hypothetical or lightly developed accumulations, one can either make comparisons to a specific well-developed accumulation or to the entire range of available developed accumulations. Comparison of the distributions of initial monthly production rates of the four shale-gas accumulations that were studied shows substantial overlap. However, because of differences in decline rates among them, the resulting estimated ultimate recovery (EUR) distributions are considerably different.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101151","usgsCitation":"Charpentier, R., and Cook, T., 2010, Applying probabilistic well-performance parameters to assessments of shale-gas resources: U.S. Geological Survey Open-File Report 2010-1151, ii, 18 p., https://doi.org/10.3133/ofr20101151.","productDescription":"ii, 18 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125949,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1151.jpg"},{"id":13931,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1151/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a414","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":305685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":305686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98540,"text":"ofr20101138 - 2010 - Assembling probabilistic performance parameters of shale-gas wells","interactions":[],"lastModifiedDate":"2012-02-02T00:15:33","indexId":"ofr20101138","displayToPublicDate":"2010-07-22T00:00:00","publicationYear":"2010","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":"2010-1138","title":"Assembling probabilistic performance parameters of shale-gas wells","docAbstract":"Shale-gas well productivity estimates in USGS assessments from 1995 to present are based on studies that require decline curve fits and analysis to a large sample or to all wells within a particular assessment unit. Probabilistic type curves can be created on nearly any size well group and were designed for use within a resource context. The probabilistic type curve was designed to improve on the familiar format of a deterministic type curve by showing the full range of production possibilities for a given group of wells. Additional information was added to make certain components, such as data density and nonproducing wells, more explicit.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101138","usgsCitation":"Cook, T., and Charpentier, R., 2010, Assembling probabilistic performance parameters of shale-gas wells: U.S. Geological Survey Open-File Report 2010-1138, ii, 17 p., https://doi.org/10.3133/ofr20101138.","productDescription":"ii, 17 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125953,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1138.jpg"},{"id":13930,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1138/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672b2b","contributors":{"authors":[{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":305684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":305683,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98534,"text":"ofr20101107 - 2010 - A rapid method for creating qualitative images indicative of thick oil emulsion on the ocean's surface from imaging spectrometer data","interactions":[],"lastModifiedDate":"2012-02-02T00:15:33","indexId":"ofr20101107","displayToPublicDate":"2010-07-22T00:00:00","publicationYear":"2010","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":"2010-1107","title":"A rapid method for creating qualitative images indicative of thick oil emulsion on the ocean's surface from imaging spectrometer data","docAbstract":"This report describes a method to create color-composite images indicative of thick oil:water emulsions on the surface of clear, deep ocean water by using normalized difference ratios derived from remotely sensed data collected by an imaging spectrometer. The spectral bands used in the normalized difference ratios are located in wavelength regions where the spectra of thick oil:water emulsions on the ocean's surface have a distinct shape compared to clear water and clouds. In contrast to quantitative analyses, which require rigorous conversion to reflectance, the method described is easily computed and can be applied rapidly to radiance data or data that have been atmospherically corrected or ground-calibrated to reflectance. Examples are shown of the method applied to Airborne Visible/Infrared Imaging Spectrometer data collected May 17 and May 19, 2010, over the oil spill from the Deepwater Horizon offshore oil drilling platform in the Gulf of Mexico.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101107","usgsCitation":"Kokaly, R., Hoefen, T.M., Livo, K., Swayze, G.A., Leifer, I., McCubbin, I.B., Eastwood, M.L., Green, R., Lundeen, S.R., Sarture, C.M., Steele, D., Ryan, T., Bradley, E.S., Roberts, D.A., and AVIRIS Team, 2010, A rapid method for creating qualitative images indicative of thick oil emulsion on the ocean's surface from imaging spectrometer data: U.S. Geological Survey Open-File Report 2010-1107, iii, 9 p., https://doi.org/10.3133/ofr20101107.","productDescription":"iii, 9 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126701,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1107.jpg"},{"id":13924,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1107/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a874b","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":305668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livo, K. 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The samples were collected by the U.S. Geological Survey as part of the Evolution of Brittle Structures Task under the Central Colorado Assessment Project (CCAP) of the Mineral Resources Program (http://minerals.cr.usgs.gov/projects/colorado_assessment/index.html). The purpose of this work has been to characterize the relation between epithermal, polymetallic mineral deposits, paleostress, and the geological structures that hosted fluid flow and localization of the deposits. The data in this report will be used to document and better understand the processes that control epithermal mineral-deposit formation by attempting to relate the geochemistry of the primary structures that hosted hydrothermal fluid flow to their heat and fluid sources. This includes processes from the scale of the structures themselves to the far field scale, inclusive of the intrusive bodies that have been thought to be the sources for the hydrothermal fluid flow.\r\n\r\nThe data presented in this report are part of a larger assessment effort on public lands. The larger study area spans the region of the southern Rocky Mountains in Colorado from the Wyoming to New Mexico borders and from the eastern boundary of the Front Range to approximately the longitude of Vail and Leadville, Colorado. Although the study area has had an extensive history of geological mapping, the mapping has resulted in a number of hypotheses that are still in their infancy of being tested. For example, the proximity of polymetallic veins to intrusive bodies has been thought to reflect a genetic relation between the two features; however, this idea has not been well tested with geochemical indicators. Recent knowledge regarding the coupled nature of stress, strain, fluid flow, and geochemistry warrant new investigations and approaches to test a variety of ideas regarding the genetic processes associated with ore-deposit formation. The central part of the eastern Front Range has excellent exposures of fault zones and polymetallic fault veins, subsequently resulting in some of the most detailed mapping and associated data sets in the region. Thus, the area was chosen for detailed data compilation, new sample and data collection, and a variety of structural and geochemical analyses. The data presented in this report come from samples of fault-related exposures in the Front Range and include elemental chemistry and mineralogy from the outcrop-scale study localities within the larger CCAP study area.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds492","usgsCitation":"Caine, J.S., and Bove, D.J., 2010, Rock Geochemistry and Mineralogy from Fault Zones and Polymetallic Fault Veins of the Central Front Range, Colorado: U.S. Geological Survey Data Series 492, Report: iv, 6 p.; Tables (XLS, PDF), https://doi.org/10.3133/ds492.","productDescription":"Report: iv, 6 p.; Tables (XLS, PDF)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":125945,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_492.jpg"},{"id":13921,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/492/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37 ], [ -109,41 ], [ -102,41 ], [ -102,37 ], [ -109,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db6551a8","contributors":{"authors":[{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":305652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bove, Dana J. dbove@usgs.gov","contributorId":4855,"corporation":false,"usgs":true,"family":"Bove","given":"Dana","email":"dbove@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":305651,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}