This map portrays the geodynamics of Northeast Asia at a scale of 1:5,000,000 using the concepts of plate tectonics and analysis of terranes and overlap assemblages. The map is the result of a detailed compilation and synthesis at 5 million scale and is part of a major international collaborative study of the Mineral Resources, Metallogenesis, and Tectonics of Northeast Asia conducted from 1997 through 2002 by geologists from earth science agencies and universities in Russia, Mongolia, Northeastern China, South Korea, Japan, and the USA.
\nThis map is the result of extensive geologic mapping and associated tectonic studies in Northeast Asia in the last few decades and is the first collaborative compilation of the geology of the region at a scale of 1:5,000,000 by geologists from Russia, Mongolia, Northeastern China, South Korea, Japan, and the USA. The map was compiled by a large group of international geologists using the below concepts and definitions during collaborative workshops over a six-year period. The map is a major new compilation and re-interpretation of pre-existing geologic maps of the region. The map is designed to be used for several purposes, including regional tectonic analyses, mineral resource and metallogenic analysis, petroleum resource analysis, neotectonic analysis, and analysis of seismic hazards and volcanic hazards.
\nThe map consists of two sheets. Sheet 1 displays the map at a scale of 1:5,000,000, explanation. Sheet 2 displays the introduction, list of map units, and source references. Detailed descriptions of map units and stratigraphic columns are being published separately.
\nThis map is one of a series of publications on the mineral resources, metallogenesis, and geodynamics,of Northeast Asia. Companion studies and other articles and maps , and various detailed reports are: (1) a compilation of major mineral deposit models (Rodionov and Nokleberg, 2000; Rodionov and others, 2000; Obolenskiy and others, in press a); (2) a series of metallogenic belt maps (Obolenskiy and others, 2001; in press b); (3) a lode mineral deposits and placer districts location map for Northeast Asia (Ariunbileg and others, in press b); (4) descriptions of metallogenic belts (Rodionov and others, in press); and (5) a database on significant metalliferous and selected nonmetalliferous lode deposits, and selected placer districts (Ariunbileg and others, in press a).
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03205","collaboration":"Prepared in collaboration with Russian Academy of Sciences, Mongolian Academy of Sciences, Jilin University, Korean Institute of Geoscience and Minerals, Geological Survey of Japan/AIST","usgsCitation":"Parfenov, L., Khanchuk, A.I., Badarch, G., Miller, R.J., Naumova, V., Nokleberg, W.J., Ogasawara, M., Prokopiev, A.V., and Yan, H., 2003, Preliminary northeast Asia geodynamics map: U.S. Geological Survey Open-File Report 2003-205, 2 Sheets: PDF, 48.0 x 48.0 inches and 30.0 x 40.0 inches; 2 Sheets: EPS, https://doi.org/10.3133/ofr03205.","productDescription":"2 Sheets: PDF, 48.0 x 48.0 inches and 30.0 x 40.0 inches; 2 Sheets: EPS","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":179677,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr03205.jpg"},{"id":285693,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0205/sheet2.eps"},{"id":4431,"rank":6,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0205/","linkFileType":{"id":5,"text":"html"}},{"id":285690,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2003/0205/pdf/sheet1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":285691,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2003/0205/pdf/sheet2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":285692,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0205/sheet1.eps"}],"scale":"5000000","projection":"Lambert Azimuthal equal-area projection","country":"China, Japan, Mongolia, Russia, South Korea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75.0,30.0 ], [ 75.0,82.0 ], [ 144.0,82.0 ], [ 144.0,30.0 ], [ 75.0,30.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cd86","contributors":{"authors":[{"text":"Parfenov, Leonid M.","contributorId":45385,"corporation":false,"usgs":true,"family":"Parfenov","given":"Leonid M.","affiliations":[],"preferred":false,"id":243515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khanchuk, Alexander I.","contributorId":19585,"corporation":false,"usgs":true,"family":"Khanchuk","given":"Alexander","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":243513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Badarch, Gombosuren","contributorId":6940,"corporation":false,"usgs":true,"family":"Badarch","given":"Gombosuren","email":"","affiliations":[],"preferred":false,"id":243511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":243510,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naumova, Vera V.","contributorId":98388,"corporation":false,"usgs":true,"family":"Naumova","given":"Vera V.","affiliations":[],"preferred":false,"id":243517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":243509,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogasawara, Masatsugu","contributorId":17638,"corporation":false,"usgs":true,"family":"Ogasawara","given":"Masatsugu","email":"","affiliations":[],"preferred":false,"id":243512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prokopiev, Andrei V.","contributorId":20825,"corporation":false,"usgs":true,"family":"Prokopiev","given":"Andrei","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":243514,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yan, Hongquan","contributorId":81559,"corporation":false,"usgs":true,"family":"Yan","given":"Hongquan","email":"","affiliations":[],"preferred":false,"id":243516,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":50879,"text":"wri034053 - 2003 - Simulation of advective flow under steady-state and transient recharge conditions, Camp Edwards, Massachusetts Military Reservation, Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2020-02-09T17:14:56","indexId":"wri034053","displayToPublicDate":"2003-06-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4053","title":"Simulation of advective flow under steady-state and transient recharge conditions, Camp Edwards, Massachusetts Military Reservation, Cape Cod, Massachusetts","docAbstract":"The U.S. Geological Survey has developed several ground-water models in support of an investigation of ground-water contamination being conducted by the Army National Guard Bureau at Camp Edwards, Massachusetts Military Reservation on western Cape Cod, Massachusetts. Regional and subregional steady-state models and regional transient models were used to (1) improve understanding of the hydrologic system, (2) simulate advective transport of contaminants, (3) delineate recharge areas to municipal wells, and (4) evaluate how model discretization and time-varying recharge affect simulation results. \r\n\r\nA water-table mound dominates ground-water-flow patterns. Near the top of the mound, which is within Camp Edwards, hydraulic gradients are nearly vertically downward and horizontal gradients are small. In downgradient areas that are further from the top of the water-table mound, the ratio of horizontal to vertical gradients is larger and horizontal flow predominates. The steady-state regional model adequately simulates advective transport in some areas of the aquifer; however, simulation of ground-water flow in areas with local hydrologic boundaries, such as ponds, requires more finely discretized subregional models. Subregional models also are needed to delineate recharge areas to municipal wells that are inadequately represented in the regional model or are near other pumped wells. \r\n\r\nLong-term changes in recharge rates affect hydraulic heads in the aquifer and shift the position of the top of the water-table mound. Hydraulic-gradient directions do not change over time in downgradient areas, whereas they do change substantially with temporal changes in recharge near the top of the water-table mound. The assumption of steady-state hydraulic conditions is valid in downgradient area, where advective transport paths change little over time. In areas closer to the top of the water-table mound, advective transport paths change as a function of time, transient and steady-state paths do not coincide, and the assumption of steady-state conditions is not valid. The simulation results indicate that several modeling tools are needed to adequately simulate ground-water flow at the site and that the utility of a model varies according to hydrologic conditions in the specific areas of interest.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034053","usgsCitation":"Walter, D.A., and Masterson, J., 2003, Simulation of advective flow under steady-state and transient recharge conditions, Camp Edwards, Massachusetts Military Reservation, Cape Cod, Massachusetts: U.S. Geological Survey Water-Resources Investigations Report 2003-4053, vi, 51 p., https://doi.org/10.3133/wri034053.","productDescription":"vi, 51 p.","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":4644,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034053/","linkFileType":{"id":5,"text":"html"}},{"id":179214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Massachusetts ","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.7958984375,\n 41.582579601430346\n ],\n [\n -69.85107421874999,\n 41.582579601430346\n ],\n [\n -69.85107421874999,\n 42.21224516288584\n ],\n [\n -70.7958984375,\n 42.21224516288584\n ],\n [\n -70.7958984375,\n 41.582579601430346\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b06e4b07f02db69a1a0","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":242537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":242538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":51442,"text":"ofr03135 - 2003 - Geologic database for digital geology of California, Nevada, and Utah— An application of the North American Data Model","interactions":[],"lastModifiedDate":"2023-06-23T14:12:17.21539","indexId":"ofr03135","displayToPublicDate":"2003-06-01T00:00:00","publicationYear":"2003","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":"2003-135","title":"Geologic database for digital geology of California, Nevada, and Utah— An application of the North American Data Model","docAbstract":"
The USGS is creating an integrated national database for digital state geologic maps that includes stratigraphic, age, and lithologic information. The majority of the conterminous 48 states have digital geologic base maps available, often at scales of 1:500,000. This product is a prototype, and is intended to demonstrate the types of derivative maps that will be possible with the national integrated database. This database permits the creation of a number of types of maps via simple or sophisticated queries, maps that may be useful in a number of areas, including mineral-resource assessment, environmental assessment, and regional tectonic evolution.
\nThis database is distributed with three main parts: a Microsoft Access 2000 database containing geologic map attribute data, an Arc/Info (Environmental Systems Research Institute, Redlands, California) Export format file containing points representing designation of stratigraphic regions for the Geologic Map of Utah, and an ArcView 3.2 (Environmental Systems Research Institute, Redlands, California) project containing scripts and dialogs for performing a series of generalization and mineral resource queries.
\nIMPORTANT NOTE: Spatial data for the respective stage geologic maps is not distributed with this report. The digital state geologic maps for the states involved in this report are separate products, and two of them are produced by individual state agencies, which may be legally and/or financially responsible for this data. However, the spatial datasets for maps discussed in this report are available to the public. Questions regarding the distribution, sale, and use of individual state geologic maps should be sent to the respective state agency. We do provide suggestions for obtaining and formatting the spatial data to make it compatible with data in this report. See section ‘Obtaining and Formatting Spatial Data’ in the PDF version of the report.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03135","usgsCitation":"Bedford, D., Ludington, S., Nutt, C., Stone, P., Miller, D., Miller, R.J., Wagner, D.L., and Saucedo, G.J., 2003, Geologic database for digital geology of California, Nevada, and Utah— An application of the North American Data Model: U.S. Geological Survey Open-File Report 2003-135, Report: 35 p.; Metadata, https://doi.org/10.3133/ofr03135.","productDescription":"Report: 35 p.; Metadata","numberOfPages":"35","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":391028,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_58957.htm"},{"id":285562,"rank":9,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2003/0135/ut_regions.met"},{"id":285558,"rank":8,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0135/pdf/OFR03-135.pdf"},{"id":285560,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0135/wr_mrsa.mdb"},{"id":285563,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0135/wr_mrsa.apr"},{"id":285564,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0135/lithtree.zip"},{"id":285565,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0135/OFR03-135.zip"},{"id":285559,"rank":2,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2003/0135/OFR03-135.txt"},{"id":179085,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr03135.jpg"},{"id":4452,"rank":11,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0135/","linkFileType":{"id":5,"text":"html"}},{"id":285561,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0135/ut_regions.e00"}],"country":"United States","state":"California, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.00244140625,\n 33.08233672856376\n ],\n [\n -109.2041015625,\n 33.08233672856376\n ],\n [\n -109.2041015625,\n 42.01665183556825\n ],\n [\n -125.00244140625,\n 42.01665183556825\n ],\n [\n -125.00244140625,\n 33.08233672856376\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b12e4b07f02db6a28eb","contributors":{"authors":[{"text":"Bedford, David R.","contributorId":26352,"corporation":false,"usgs":true,"family":"Bedford","given":"David R.","affiliations":[],"preferred":false,"id":243588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":243591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nutt, Constance M.","contributorId":15116,"corporation":false,"usgs":true,"family":"Nutt","given":"Constance M.","affiliations":[],"preferred":false,"id":243587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Paul A.","contributorId":65000,"corporation":false,"usgs":true,"family":"Stone","given":"Paul A.","affiliations":[],"preferred":false,"id":243589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":243584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":243585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, David L.","contributorId":9934,"corporation":false,"usgs":true,"family":"Wagner","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":243586,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Saucedo, George J.","contributorId":89006,"corporation":false,"usgs":true,"family":"Saucedo","given":"George","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":243590,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":51410,"text":"ofr03230 - 2003 - Digital depth horizon compilations of the Alaskan North Slope and adjacent Arctic regions","interactions":[],"lastModifiedDate":"2022-10-07T20:22:30.774246","indexId":"ofr03230","displayToPublicDate":"2003-06-01T00:00:00","publicationYear":"2003","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":"2003-230","title":"Digital depth horizon compilations of the Alaskan North Slope and adjacent Arctic regions","docAbstract":"Data have been digitized and combined to create four detailed depth horizon grids spanning the Alaskan North Slope and adjacent offshore areas. These map horizon compilations were created to aid in petroleum system modeling and related studies. Topography/bathymetry is extracted from a recent Arctic compilation of global onshore DEM and satellite altimetry and ship soundings offshore. The Lower Cretaceous Unconformity (LCU), the top of the Triassic Shublik Formation, and the pre-Carboniferous acoustic basement horizon grids are created from numerous seismic studies, drill hole information, and interpolation. These horizons were selected because they mark critical times in the geologic evolution of the region as it relates to petroleum. The various horizons clearly show the major tectonic elements of this region including the Brooks Range, Colville Trough, Barrow Arch, Hanna Trough, Chukchi Platform, Nuwuk Basin, Kaktovik Basin, and Canada Basin. The gridded data are available in a variety of data formats for use in regional studies.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03230","usgsCitation":"Saltus, R.W., and Bird, K.J., 2003, Digital depth horizon compilations of the Alaskan North Slope and adjacent Arctic regions (Version 1.0): U.S. Geological Survey Open-File Report 2003-230, Report: 21 p.; Readme; Data Directory, https://doi.org/10.3133/ofr03230.","productDescription":"Report: 21 p.; Readme; Data Directory","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":179504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":408127,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_54950.htm","linkFileType":{"id":5,"text":"html"}},{"id":4425,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-230/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic region, North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -171,\n 66\n ],\n [\n -135,\n 66\n ],\n [\n -135,\n 73\n ],\n [\n -171,\n 73\n ],\n [\n -171,\n 66\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d4e6","contributors":{"authors":[{"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":243494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":243495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":50120,"text":"wri034101 - 2003 - Estimating Ground-Water Recharge from Precipitation on Whidbey and Camano Islands, Island County, Washington, Water Years 1998 and 1999","interactions":[],"lastModifiedDate":"2012-02-02T00:11:19","indexId":"wri034101","displayToPublicDate":"2003-06-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4101","title":"Estimating Ground-Water Recharge from Precipitation on Whidbey and Camano Islands, Island County, Washington, Water Years 1998 and 1999","docAbstract":"Ground-water recharge from precipitation to unconsolidated deposits on Whidbey and Camano Islands, Washington, was estimated for water years 1998-99 using a near-surface water-balance method and a chloride mass-balance method. \r\n\r\n\r\nA daily near-surface water-balance method, the Deep Percolation Model (DPM), was used to simulate water budgets for October 1, 1997 through September 30, 1999 (water years 1998-99) for six small drainage basins?four on Whidbey Island and two on Camano Island. Adjusted parameters from the DPM for each small basin were then used in island-wide DPM simulations. A spatial distribution of annual recharge was simulated for each island, with island averages of 5.71 inches per year for Whidbey Island and 5.98 inches per year for Camano Island. The spatial distribution of simulated annual recharge for each island reflects variations in precipitation amounts and the distribution of surficial materials. DPM results indicate that recharge generally is higher in areas underlain by coarse-grained deposits (outwash) than in areas underlain by fine-grained deposits (till). \r\n\r\n\r\nA chloride mass-balance method was used to estimate combined recharge to unconsolidated deposits on Whidbey and Camano Islands. The average combined recharge for Whidbey and Camano Islands estimated by this method was 2.00 inches per year. The range of chloride concentrations in ground-water samples from selected wells indicates that the average recharge to unconsolidated deposits ranges from 0.78 to 7.81 inches per year. Sources of chloride in ground water other than from the atmosphere would cause recharge estimated by the chloride mass-balance method to be less than the actual recharge, therefore, these estimates may represent lower limits.","language":"ENGLISH","doi":"10.3133/wri034101","usgsCitation":"Sumioka, S.S., and Bauer, H.H., 2003, Estimating Ground-Water Recharge from Precipitation on Whidbey and Camano Islands, Island County, Washington, Water Years 1998 and 1999: U.S. Geological Survey Water-Resources Investigations Report 2003-4101, 49 p., https://doi.org/10.3133/wri034101.","productDescription":"49 p.","costCenters":[],"links":[{"id":4306,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034101/","linkFileType":{"id":5,"text":"html"}},{"id":176367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680937","contributors":{"authors":[{"text":"Sumioka, S. S.","contributorId":20747,"corporation":false,"usgs":true,"family":"Sumioka","given":"S.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":240800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauer, H. H.","contributorId":85142,"corporation":false,"usgs":true,"family":"Bauer","given":"H.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":240801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":50853,"text":"wri034017 - 2003 - Reactive-transport simulation of phosphorus in the sewage plume at the Massachusetts Military Reservation, Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2020-02-09T17:27:11","indexId":"wri034017","displayToPublicDate":"2003-06-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4017","title":"Reactive-transport simulation of phosphorus in the sewage plume at the Massachusetts Military Reservation, Cape Cod, Massachusetts","docAbstract":"The subsurface transport of phosphorus introduced by the disposal of treated sewage effluent to ground-infiltration disposal beds at the Massachusetts Military Reservation on western Cape Cod was simulated with a three-dimensional reactive-transport model. The simulations were used to estimate the load of phosphorus transported to Ashumet Pond during operation of the sewage-treatment plant from 1936 to 1995 and for 60 years following cessation of sewage disposal. The model accounted for spatial and temporal changes in water discharge from the sewage-treatment plant, ground-water flow, transport of associated chemical constituents, and a set of chemical reactions, including phosphorus sorption on aquifer materials, dissolution and precipitation of iron- and manganese-oxyhydroxide and iron phosphate minerals, organic carbon sorption and decomposition, cation sorption, and irreversible denitrification. The flow and transport in the aquifer were simulated by using parameters consistent with those used in previous flow models of this area of Cape Cod, except that numerical dispersion was much larger than the physical dispersion estimated in previous studies. Sorption parameters were fit to data derived from phosphorus sorption and desorption laboratory column experiments. Rates of organic carbon decomposition were adjusted to match the location of iron concentrations in an anoxic iron zone within the sewage plume. The sensitivity of the simulated load of phosphorus transported to Ashumet Pond was calculated for a variety of processes and input parameters. Model limitations included large uncertainties associated with the loading of the sewage beds, the flow system, and the chemistry and sorption characteristics in the aquifer. The results of current model simulations indicate a small load of phosphorus transported to Ashumet Pond during 1965-85, but this small load was particularly sensitive to model parameters that specify flow conditions and the chemical process by which non-desorbable phosphorus is incorporated in the sediments. The uncertainties were large enough to make it difficult to determine whether loads of phosphorus transported to Ashumet Pond in the 1990s were greater or less than loads during the previous two decades. The model simulations indicate substantial discharge of phosphorus to Ashumet Pond after about 1965. After the period 2000-10 the simulations indicate that the load of phosphorus transported to Ashumet Pond decreases continuously, but the load of phosphorus remains substantial for many decades. The current simulations indicate a peak in phosphorus discharge to Ashumet Pond of about 1,000 kilograms per year during the 1990s; however, comparisons of simulated phosphorus concentrations with measured concentrations in 1993 indicate that the peak in phosphorus load transported to Ashumet Pond may be larger and moving more quickly in the model simulations than in the aquifer. The results of the three-dimensional reactive-transport simulations are consistent with the loading history, experimental laboratory data, and field measurements. The results of the simulations adequately reproduce the spatial distribution of phosphorus concentrations measured in 1993, the magnitude of changes in phosphorus concentration with time in a profile near the disposal beds following cessation of sewage disposal, the observed iron zone in the sewage plume, the approximate flow of treated sewage effluent into Ashumet Valley, and laboratory-column data for phosphorus sorption and desorption.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034017","usgsCitation":"Parkhurst, D.L., Stollenwerk, K.G., and Colman, J.A., 2003, Reactive-transport simulation of phosphorus in the sewage plume at the Massachusetts Military Reservation, Cape Cod, Massachusetts: U.S. Geological Survey Water-Resources Investigations Report 2003-4017, v, 33 p. , https://doi.org/10.3133/wri034017.","productDescription":"v, 33 p. ","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":179650,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4623,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034017/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts ","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.7958984375,\n 41.582579601430346\n ],\n [\n -69.85107421874999,\n 41.582579601430346\n ],\n [\n -69.85107421874999,\n 42.21224516288584\n ],\n [\n -70.7958984375,\n 42.21224516288584\n ],\n [\n -70.7958984375,\n 41.582579601430346\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6486dc","contributors":{"authors":[{"text":"Parkhurst, David L. 0000-0003-3348-1544 dlpark@usgs.gov","orcid":"https://orcid.org/0000-0003-3348-1544","contributorId":1088,"corporation":false,"usgs":true,"family":"Parkhurst","given":"David","email":"dlpark@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":242455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stollenwerk, Kenneth G. kgstolle@usgs.gov","contributorId":578,"corporation":false,"usgs":true,"family":"Stollenwerk","given":"Kenneth","email":"kgstolle@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":242454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colman, John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@usgs.gov","middleInitial":"A.","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":242456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":48852,"text":"ofr2002438 - 2003 - Assessment of habitat and streamflow requirements for habitat protection, Usquepaug–Queen River, Rhode Island, 1999–2000","interactions":[],"lastModifiedDate":"2021-08-31T21:34:36.49038","indexId":"ofr2002438","displayToPublicDate":"2003-06-01T00:00:00","publicationYear":"2003","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":"2002-438","title":"Assessment of habitat and streamflow requirements for habitat protection, Usquepaug–Queen River, Rhode Island, 1999–2000","docAbstract":"The relations among stream habitat and hydrologic conditions were investigated in the Usquepaug–Queen River Basin in southern Rhode Island. Habitats were assessed at 13 sites on the mainstem and tributaries from July 1999 to September 2000. Channel types are predominantly low-gradient glides, pools, and runs that have a sand and gravel streambed and a forest or shrub riparian zone. Along the stream margins, overhanging brush, undercut banks supported by roots, and downed trees create cover; within the channel, submerged aquatic vegetation and woody debris create cover. These habitat features decrease in quality and availability with declining streamflows, and features along stream margins generally become unavailable once streamflows drop to the point at which water recedes from the stream banks. Riffles are less common, but were identified as critical habitat areas because they are among the first to exhibit habitat losses or become unavailable during low-flow periods. Stream-temperature data were collected at eight sites during summer 2000 to indicate the suitability of those reaches for cold-water fish communities. Data indicate stream temperatures provide suitable habitat for cold-water species in the Fisherville and Locke Brook tributaries and in the mainstem Queen River downstream of the confluence with Fisherville Brook. Stream temperatures in the Usquepaug River downstream from Glen Rock Reservoir are about 6°F warmer than in the Queen River upstream from the impoundment. These warmer temperatures may make habitat in the Usquepaug River marginal for cold-water species.
Fish-community composition was determined from samples collected at seven sites on tributaries and at three sites on the mainstem Usquepaug–Queen River. Classification of the fish into habitat-use groups and comparison to target fish communities developed for the Quinebaug and Ipswich Rivers indicated that the sampled reaches of the Usquepaug–Queen River contained most of the riverine fish species that would have been expected to occur in this area.
Streamflow records from the gaging station Usquepaug River near Usquepaug were used to (1) determine streamflow requirements for habitat protection by use of the Tennant method, and (2) define a flow regime that mimics the river's natural flow regime by use of the Range of Variability Approach. The Tennant streamflow requirement, defined as 30 percent of the mean annual flow, was 0.64 cubic feet per second per square mile (ft3/s/mi2). This requirement should be considered an initial estimate because flows measured at the Usquepaug River gaging station are reduced by water withdrawals upstream from the gage. The streamflow requirements may need to be revised once a watershed-scale precipitationrunoff model of the Usquepaug River is complete
and a simulation of streamflows without water withdrawals has been determined.
Rocks used as construction aggregate in temperate climates deteriorate to differing degrees because of repeated freezing and thawing. The magnitude of the deterioration depends on the rock's properties. Aggregate, including crushed carbonate rock, is required to have minimum geotechnical qualities before it can be used in asphalt and concrete. In order to reduce chances of premature and expensive repairs, extensive freeze-thaw tests are conducted on potential construction rocks. These tests typically involve 300 freeze-thaw cycles and can take four to five months to complete. Less time consuming tests that (1) predict durability as well as the extended freeze-thaw test or that (2) reduce the number of rocks subject to the extended test, could save considerable amounts of money. Here we use a probabilistic neural network to try and predict durability as determined by the freeze-thaw test using four rock properties measured on 843 limestone samples from the Kansas Department of Transportation. Modified freeze-thaw tests and less time consuming specific gravity (dry), specific gravity (saturated), and modified absorption tests were conducted on each sample. Durability factors of 95 or more as determined from the extensive freeze-thaw tests are viewed as acceptable—rocks with values below 95 are rejected. If only the modified freeze-thaw test is used to predict which rocks are acceptable, about 45% are misclassified. When 421 randomly selected samples and all four standardized and scaled variables were used to train aprobabilistic neural network, the rate of misclassification of 422 independent validation samples dropped to 28%. The network was trained so that each class (group) and each variable had its own coefficient (sigma). In an attempt to reduce errors further, an additional class was added to the training data to predict durability values greater than 84 and less than 98, resulting in only 11% of the samples misclassified. About 43% of the test data was classed by the neural net into the middle group—these rocks should be subject to full freeze-thaw tests. Thus, use of the probabilistic neural network would meanthat the extended test would only need be applied to 43% of the samples, and 11% of the rocks classed as acceptable would fail early.
","language":"English","publisher":"Springer","doi":"10.1023/A:1024266829365","usgsCitation":"Singer, D.A., and Bliss, J.D., 2003, Use of a probabilistic neural network to reduce costs of selecting construction rock: Natural Resources Research, v. 12, no. 2, p. 135-140, https://doi.org/10.1023/A:1024266829365.","productDescription":"6 p.","startPage":"135","endPage":"140","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b158506e4b092d9651e2117","contributors":{"authors":[{"text":"Singer, Donald A. dsinger@usgs.gov","contributorId":5601,"corporation":false,"usgs":true,"family":"Singer","given":"Donald","email":"dsinger@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":735973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70161946,"text":"70161946 - 2003 - Uncertainty in spatially explicit animal dispersal models","interactions":[],"lastModifiedDate":"2016-01-11T10:09:05","indexId":"70161946","displayToPublicDate":"2003-06-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty in spatially explicit animal dispersal models","docAbstract":"Uncertainty in estimates of survival of dispersing animals is a vexing difficulty in conservation biology. The current notion is that this uncertainty decreases the usefulness of spatially explicit population models in particular. We examined this problem by comparing dispersal models of three levels of complexity: (1) an event-based binomial model that considers only the occurrence of mortality or arrival, (2) a temporally explicit exponential model that employs mortality and arrival rates, and (3) a spatially explicit grid-walk model that simulates the movement of animals through an artificial landscape. Each model was fitted to the same set of field data. A first objective of the paper is to illustrate how the maximum-likelihood method can be used in all three cases to estimate the means and confidence limits for the relevant model parameters, given a particular set of data on dispersal survival. Using this framework we show that the structure of the uncertainty for all three models is strikingly similar. In fact, the results of our unified approach imply that spatially explicit dispersal models, which take advantage of information on landscape details, suffer less from uncertainly than do simpler models. Moreover, we show that the proposed strategy of model development safeguards one from error propagation in these more complex models. Finally, our approach shows that all models related to animal dispersal, ranging from simple to complex, can be related in a hierarchical fashion, so that the various approaches to modeling such dispersal can be viewed from a unified perspective.
No abstract available.
","language":"English","publisher":"Russian Academy of Science","usgsCitation":"Romanyuk, T., Mooney, W.D., and Detweiler, S., 2003, Models of the density distribution in the lithosphere across the San Andreas fault, southern California: Izvestiya, Physics of the Solid Earth, v. 39, no. 5, p. 365-391.","productDescription":"27 p.","startPage":"365","endPage":"391","costCenters":[],"links":[{"id":413958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.6305594230575,\n 35.56882267988257\n ],\n [\n -120.92826972439242,\n 35.46271252438183\n ],\n [\n -120.31200547170371,\n 34.37437158900606\n ],\n [\n -118.59950192336697,\n 34.11475833945566\n ],\n [\n -116.53738692398517,\n 33.08820264758087\n ],\n [\n -115.5478087489946,\n 33.7952737395312\n ],\n [\n -118.63505563025254,\n 35.02716792341698\n ],\n [\n -119.6305594230575,\n 35.56882267988257\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romanyuk, T.V.","contributorId":91270,"corporation":false,"usgs":true,"family":"Romanyuk","given":"T.V.","email":"","affiliations":[],"preferred":false,"id":866159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":866160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detweiler, Shane shane@usgs.gov","contributorId":147023,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":866161,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":50825,"text":"ofr03191 - 2003 - A compendium of P- and S-wave velocities from surface-to-borehole logging; summary and reanalysis of previously published data and analysis of unpublished data","interactions":[],"lastModifiedDate":"2014-04-03T15:26:23","indexId":"ofr03191","displayToPublicDate":"2003-05-01T08:00:00","publicationYear":"2003","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":"2003-191","title":"A compendium of P- and S-wave velocities from surface-to-borehole logging; summary and reanalysis of previously published data and analysis of unpublished data","docAbstract":"For over 28 years, the U.S. Geological Survey (USGS) has been acquiring seismic velocity and geologic data at a number of locations in California, many of which were chosen because strong ground motions from earthquakes were recorded at the sites. The method for all measurements involves picking first arrivals of P- and S-waves from a surface source recorded at various depths in a borehole (as opposed to noninvasive methods, such as the SASW method [e.g., Brown et al., 2002]). The results from most of the sites are contained in a series of U.S. Geological Survey Open-File Reports (see References). Until now, none of the results have been available as computer files, and before 1992 the interpretation of the arrival times was in terms of piecemeal interval velocities, with no attempt to derive a layered model that would fit the travel times in an overall sense (the one exception is Porcella, 1984). In this report I reanalyze all of the arrival times in terms of layered models for P- and for S-wave velocities at each site, and I provide the results as computer files. In addition to the measurements reported in the open-file reports, I also include some borehole results from other reports, as well as some results never before published. I include data for 277 boreholes (at the time of this writing; more will be added to the web site as they are obtained), all in California (I have data from boreholes in Washington and Utah, but these will be published separately). I am also in the process of interpreting travel time data obtained using a seismic cone penetrometer at hundreds of sites; these data can be interpreted in the same way of those obtained from surface-to-borehole logging. When available, the data will be added to the web site (see below for information on obtaining data from the World Wide Web (WWW)). In addition to the basic borehole data and results, I provide information concerning strong-motion stations that I judge to be close enough to the boreholes that the borehole velocity models can be used as the velocity models beneath the stations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr03191","usgsCitation":"Boore, D.M., 2003, A compendium of P- and S-wave velocities from surface-to-borehole logging; summary and reanalysis of previously published data and analysis of unpublished data: U.S. Geological Survey Open-File Report 2003-191, 13 p., https://doi.org/10.3133/ofr03191.","productDescription":"13 p.","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":178439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr03191.jpg"},{"id":4612,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0191/","linkFileType":{"id":5,"text":"html"}},{"id":285657,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0191/pdf/of03-191.pdf"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b27e4b07f02db6b0f13","contributors":{"authors":[{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":242411,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":85875,"text":"85875 - 2003 - Inventory of marine and estuarine fishes in southeast and central Alaska National Parks","interactions":[],"lastModifiedDate":"2022-08-16T14:35:45.037901","indexId":"85875","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Inventory of marine and estuarine fishes in southeast and central Alaska National Parks","docAbstract":"As part of a national inventory program funded by the National Park Service, we conducted an inventory of marine and estuarine fishes in Glacier Bay National Park and Preserve, Wrangell-St. Elias National Park and Preserve, Sitka National Historical Park, and Klondike Gold Rush National Historical Park in 2001 and 2002. In addition, marine fish data from a previous project that focused on forage fishes and marine predators during 1999 and 2000 in Glacier Bay proper were compiled for this study. Sampling was conducted with modified herring and Isaacs-Kidd midwater trawls, a plumb staff beam trawl, and beach seines. Species lists of relative abundance were generated for nearshore fishes in all parks, and for demersal and pelagic fishes in Glacier Bay National Park and Preserve and Wrangell-St. Elias National Park and Preserve. With a total sampling effort of 531 sets, we captured 100 species in Glacier Bay National Park and Preserve, 31 species in Wrangell-St. Elias National Park and Preserve, 23 species in Sitka National Historical Park, and 11 species in Klondike Gold Rush National Historical Park. We estimated that between 59 and 85 percent of the total marine fish species present were sampled by us in the various habitat-park units. We also combined these data with historical records and prepared an annotated species list of 160 marine and estuarine fishes known to occur in Glacier Bay National Park and Preserve. Shannon-Wiener diversity index and catch per unit effort were used to assess the effects of depth and latitude (distance from tidewater glaciers) on marine fish community ecology in Glacier Bay proper. Our findings suggest that demersal fishes are more abundant and diverse with increased distance from tidewater glaciers, and that pelagic fishes sampled deeper than 50 m are more abundant in areas closer to tidewater glaciers.
This map, compiled photogrammetrically from Viking Orbiter stereo image pairs, is part of a series of topographic maps of areas of special scientific interest on Mars. MTM 500k –15/337E OMKT: Abbreviation for Mars Transverse Mercator; 1:500,000 series; center of sheet latitude 15° S., longitude 337.5° E. in planetocentric coordinate system (this corresponds to –15/022; latitude 15° S., longitude 22.5° W. in planetographic coordinate system); orthophotomosaic (OM) with color coded (K) topographic contours and nomenclature (T) [Greeley and Batson, 1990].
\nThe figure of Mars used for the computation of the map projection is an oblate spheroid (flattening of 1/176.875) with an equatorial radius of 3396.0 km and a polar radius of 3376.8 km (Kirk and others, 2000). The datum (the 0–km contour line) for elevations is defined as the equipotential surface (gravitational plus rotational) whose average value at the equator is equal to the mean radius as determined by Mars Orbiter Laser Altimeter (Smith and others, 2001).
\nThe image base for this map employs Viking Orbiter images from orbit 651. An orthophotomosaic was created on the digital photogrammetric workstation using the DTM compiled from stereo models. Integrated Software for Imagers and Spectrometers (ISIS) (Torson and Becker, 1997) provided the software to project the orthophotomosaic into the Transverse Mercator Projection.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/i2785","collaboration":"Prepared for The National Aeronautics and Space Administration","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, Topographic map of the northwest Loire Valles region of Mars MTM 500k -15/337E OMKT: U.S. Geological Survey IMAP 2785, 1 Plate:: 28.00 x 40.00 inches; HTML, https://doi.org/10.3133/i2785.","productDescription":"1 Plate:: 28.00 x 40.00 inches; HTML","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":191702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6287,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2785/","linkFileType":{"id":5,"text":"html"}},{"id":280479,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2785/pdf/i2785map.pdf"},{"id":280480,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/imap/2785/pdf/i2785map.eps"}],"scale":"502000","projection":"Transverse Mercator Projection","otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629bcc","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534662,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":69635,"text":"i2786 - 2003 - Topographic map of the Southeast Loire Valles region of Mars MTM 500k -20/347E OMKT","interactions":[],"lastModifiedDate":"2013-12-20T14:12:43","indexId":"i2786","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2786","title":"Topographic map of the Southeast Loire Valles region of Mars MTM 500k -20/347E OMKT","docAbstract":"This map, compiled photogrammetrically from Viking Orbiter stereo image pairs, is part of a series of topographic maps of areas of special scientific interest on Mars. MTM 500k –20/347E OMKT: Abbreviation for Mars Transverse Mercator; 1:500,000 series; center of sheet latitude 20° S., longitude 347.5° E. in planetocentric coordinate system (this corresponds to –20/012; latitude 20° S., longitude 12.5° W. in planetographic coordinate system); orthophotomosaic (OM) with color coded (K) topographic contours and nomenclature (T) [Greeley and Batson, 1990].
\nThe figure of Mars used for the computation of the map projection is an oblate spheroid (flattening of 1/176.875) with an equatorial radius of 3396.0 km and a polar radius of 3376.8 km (Kirk and others, 2000). The datum (the 0–km contour line) for elevations is defined as the equipotential surface (gravitational plus rotational) whose average value at the equator is equal to the mean radius as determined by Mars Orbiter Laser Altimeter (Smith and others, 2001).
\nThe image base for this map employs Viking Orbiter images from orbit 651. An orthophotomosaic\nwas created on the digital photogrammetric workstation using the DTM compiled from stereo\nmodels. Integrated Software for Imagers and Spectrometers (ISIS) (Torson and Becker, 1997) provided\nthe software to project the orthophotomosaic into the Transverse Mercator Projection.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/i2786","collaboration":"Prepared for The National Aeronautics and Space Administration","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, Topographic map of the Southeast Loire Valles region of Mars MTM 500k -20/347E OMKT: U.S. Geological Survey IMAP 2786, Map: 28 x 40 inches (PDF); Map: EPS file, https://doi.org/10.3133/i2786.","productDescription":"Map: 28 x 40 inches (PDF); Map: EPS file","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":191703,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6288,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2786/","linkFileType":{"id":5,"text":"html"}},{"id":280481,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2786/pdf/i2786map.pdf"},{"id":280482,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/imap/2786/pdf/i2786map.eps"}],"scale":"502000","projection":"Transverse Mercator Projection","otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629c1f","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534663,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":69636,"text":"i2787 - 2003 - Topographic map of the Parana Valles region of Mars MTM 500k -25/337E OMKT","interactions":[],"lastModifiedDate":"2013-12-20T14:19:56","indexId":"i2787","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2787","title":"Topographic map of the Parana Valles region of Mars MTM 500k -25/337E OMKT","docAbstract":"This map, compiled photogrammetrically from Viking Orbiter stereo image pairs, is part of a series of topographic maps of areas of special scientific interest on Mars. MTM 500k –25/347E OMKT: Abbreviation for Mars Transverse Mercator; 1:500,000 series; center of sheet latitude 25° S., longitude 347.5° E. in planetocentric coordinate system (this corresponds to –25/012; latitude 25° S., longitude 12.5° W. in planetographic coordinate system); orthophotomosaic (OM) with color coded (K) topographic contours and nomenclature (T) [Greeley and Batson, 1990].
\nThe figure of Mars used for the computation of the map projection is an oblate spheroid (flattening of 1/176.875) with an equatorial radius of 3396.0 km and a polar radius of 3376.8 km (Kirk and others, 2000). The datum (the 0-km contour line) for elevations is defined as the equipotential surface (gravitational plus rotational) whose average value at the equator is equal to the mean radius as determined by Mars Orbiter Laser Altimeter (Smith and others, 2001).
\nThe image base for this map employs Viking Orbiter images from orbit 651. An orthophotomosaic was created on the digital photogrammetric workstation using the DTM compiled from stereo models. Integrated Software for Imagers and Spectrometers (ISIS) (Torson and Becker, 1997) provided the software to project the orthophotomosaic into the Transverse Mercator Projection.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/i2787","collaboration":"Prepared for The National Aeronautics and Space Administration","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2003, Topographic map of the Parana Valles region of Mars MTM 500k -25/337E OMKT: U.S. Geological Survey IMAP 2787, Map: 28 x 40 inches (PDF); Map: EPS file, https://doi.org/10.3133/i2787.","productDescription":"Map: 28 x 40 inches (PDF); Map: EPS file","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":191704,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6289,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2787/","linkFileType":{"id":5,"text":"html"}},{"id":280488,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/imap/2787/pdf/i2787map.pdf"},{"id":280489,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/imap/2787/pdf/i2787map.eps"}],"scale":"502000","projection":"Transverse Mercator Projection","otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629c77","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534664,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":69674,"text":"mf2406 - 2003 - Ferricrete, manganocrete, and bog iron occurrences with selected sedge bogs and active iron bogs and springs in the upper Animas River watershed, San Juan County, Colorado","interactions":[],"lastModifiedDate":"2020-02-09T17:19:33","indexId":"mf2406","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":325,"text":"Miscellaneous Field Studies Map","code":"MF","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2406","title":"Ferricrete, manganocrete, and bog iron occurrences with selected sedge bogs and active iron bogs and springs in the upper Animas River watershed, San Juan County, Colorado","docAbstract":"During 1996 to 2000, the Bureau of Land Management, National \r\n Park Service, Environmental Protection Agency, United States \r\n Department of Agriculture (USDA) Forest Service, and the \r\n U.S. Geological Survey (USGS) developed a coordinated \r\n strategy to (1) study the environmental effects of \r\n historical mining on Federal lands, and (2) remediate \r\n contaminated sites that have the greatest impact on water \r\n quality and ecosystem health. This dataset provides \r\n information that contributes to these overall objectives and \r\n is part of the USGS Abandoned Mine Lands Initiative. Data \r\n presented here represent ferricrete occurrences and selected \r\n iron bogs and springs in the upper Animas River watershed in \r\n San Juan County near Silverton, Colorado. Ferricretes \r\n (stratified iron and manganese oxyhydroxide-cemented \r\n sedimentary deposits) are one indicator of the geochemical \r\n baseline conditions as well as the effect that weathering of \r\n mineralized rocks had on water quality in the Animas River \r\n watershed prior to mining. Logs and wood fragments \r\n preserved in several ferricretes in the upper Animas River \r\n watershed, collected primarily along streams, yield \r\n radiocarbon ages of modern to 9,580 years B.P. (P.L. \r\n Verplanck, D.B. Yager, and S.E. Church, work in progress). \r\n The presence of ferricrete deposits along the current stream \r\n courses indicates that climate and physiography of the \r\n Animas River watershed have been relatively constant \r\n throughout the Holocene and that weathering processes have \r\n been ongoing for thousands of years prior to historical \r\n mining activities. Thus, by knowing where ferricrete is \r\n preserved in the watershed today, land-management agencies \r\n have an indication of (1) where metal precipitation from \r\n weathering of altered rocks has occurred in the past, and \r\n (2) where this process is ongoing and may confound \r\n remediation efforts.\r\n These data are included as two coverages-a ferricrete \r\n coverage and a bogs and springs coverage. The coverages are \r\n included in ArcInfo shapefile and ArcInfo interchange file \r\n format.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/mf2406","usgsCitation":"Yager, D.B., Church, S.E., Verplanck, P.L., and Wirt, L., 2003, Ferricrete, manganocrete, and bog iron occurrences with selected sedge bogs and active iron bogs and springs in the upper Animas River watershed, San Juan County, Colorado (Version 1.0): U.S. Geological Survey Miscellaneous Field Studies Map 2406, HTML, https://doi.org/10.3133/mf2406.","productDescription":"HTML","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":188081,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6343,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mf/2003/mf-2406/ ","linkFileType":{"id":5,"text":"html"}},{"id":110393,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_54495.htm","linkFileType":{"id":5,"text":"html"},"description":"54495"}],"scale":"24000","country":"United States","state":"Colorado","county":"San Juan County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,37.75 ], [ -108,38 ], [ -107.5,38 ], [ -107.5,37.75 ], [ -108,37.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fce4b07f02db5f5bfe","contributors":{"authors":[{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":280865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":280866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":280864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wirt, Laurie","contributorId":13204,"corporation":false,"usgs":true,"family":"Wirt","given":"Laurie","affiliations":[],"preferred":false,"id":280867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":51622,"text":"wri024254 - 2003 - Extent of areal inundation of riverine wetlands along Cypress Creek and the Peace, Alafia, North Prong Alafia, and South Prong Alafia Rivers, west-central Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:11:35","indexId":"wri024254","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4254","title":"Extent of areal inundation of riverine wetlands along Cypress Creek and the Peace, Alafia, North Prong Alafia, and South Prong Alafia Rivers, west-central Florida","docAbstract":"Riverine and palustrine system wetlands are a major ecological component of river basins in west-central Florida. Healthy wetlands are dependent upon the frequency and duration of periodic flooding or inundation. This report assesses the extent, area, depth, frequency, and duration of periodic flooding and the effects of potential surface-water withdrawals on the wetlands along Cypress Creek and the Peace, Alafia, North Prong Alafia, and South Prong Alafia Rivers. Results of the study were derived from step-backwater analysis performed at each of the rivers using the U.S. Army Corps of Engineers Hydrologic Engineering Center-River Analysis System (HEC-RAS) one-dimensional model. The step-backwater analysis was performed using selected daily mean discharges at the 10th, 50th, 70th, 80th, 90th, 98th, 99.5th, and 99.9th percentiles to compute extent of areal inundation, area of inundation, and hydraulic depth to assess the net reduction of areal inundation if 10 percent of the total river flow were diverted for potential withdrawals. \r\n\r\nThe extent of areal inundation is determined by cross-sectional topography and the degree to which the channel is incised. Areal inundation occurs along the broad, low relief of the Cypress Creek floodplain during all selected discharge percentiles. However, areal inundation of the Peace and Alafia Rivers floodplains, which generally have deeply incised channels, occurs at or above discharges at the 80th percentile. The greatest area of inundation along the three rivers generally occurs between the 90th and 98th percentile discharges. The decrease in inundated area resulting from a potential 10-percent withdrawal in discharge ranged as follows: Cypress Creek, 22 to 395 acres (1.7 to 8.4 percent); Peace River, 17 to 1,900 acres (2.1 to 13.6 percent); Alafia River, 1 to 90 acres (1 to 19.6 percent); North Prong Alafia River, 1 to 46 acres (0.7 to 23.4 percent); and South Prong Alafia River, 1 to 75 acres (1.5 to 13.4 percent).","language":"ENGLISH","doi":"10.3133/wri024254","usgsCitation":"Lewelling, B., 2003, Extent of areal inundation of riverine wetlands along Cypress Creek and the Peace, Alafia, North Prong Alafia, and South Prong Alafia Rivers, west-central Florida: U.S. Geological Survey Water-Resources Investigations Report 2002-4254, vi, 91 p. : ill. (some col.), col. maps ; 28 cm., https://doi.org/10.3133/wri024254.","productDescription":"vi, 91 p. : ill. (some col.), col. maps ; 28 cm.","costCenters":[],"links":[{"id":4617,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024254/","linkFileType":{"id":5,"text":"html"}},{"id":124009,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri_2002_4254.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e9e4b07f02db5e92c7","contributors":{"authors":[{"text":"Lewelling, B. R.","contributorId":17969,"corporation":false,"usgs":true,"family":"Lewelling","given":"B. R.","affiliations":[],"preferred":false,"id":244037,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":50806,"text":"ofr200337 - 2003 - The New Albany Shale petroleum system, Illinois basin - Data and map image archive from the material-balance assessment","interactions":[],"lastModifiedDate":"2022-06-29T21:04:56.044969","indexId":"ofr200337","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","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":"2003-37","title":"The New Albany Shale petroleum system, Illinois basin - Data and map image archive from the material-balance assessment","docAbstract":"The data files and explanations presented in this report were used to generate published material-balance approach estimates of amounts of petroleum 1) expelled from a source rock, and the sum of 2) petroleum discovered in-place plus that lost due to 3) secondary migration within, or leakage or erosion from a petroleum system. This study includes assessment of cumulative production, known petroleum volume, and original oil in place for hydrocarbons that were generated from the New Albany Shale source rocks. More than 4.00 billion barrels of oil (BBO) have been produced from Pennsylvanian-, Mississippian-, Devonian-, and Silurian-age reservoirs in the New Albany Shale petroleum system. Known petroleum volume is 4.16 BBO; the average recovery factor is 103.9% of the current cumulative production. Known petroleum volume of oil is 36.22% of the total original oil in place of 11.45 BBO. More than 140.4 BBO have been generated from the Upper Devonian and Lower Mississippian New Albany Shale in the Illinois Basin. Approximately 86.29 billion barrels of oil that was trapped south of the Cottage Grove fault system were lost by erosion of reservoir intervals. The remaining 54.15 BBO are 21% of the hydrocarbons that were generated in the basin and are accounted for using production data. Included in this publication are 2D maps that show the distribution of production for different formations versus the Rock-Eval pyrolysis hydrogen-indices (HI) contours, and 3D images that show the close association between burial depth and HI values.The primary vertical migration pathway of oil and gas was through faults and fractures into overlying reservoir strata. About 66% of the produced oil is located within the generative basin, which is outlined by an HI contour of 400. The remaining production is concentrated within 30 miles (50 km) outside the 400 HI contour. The generative basin is subdivided by contours of progressively lower hydrogen indices that represent increased levels of thermal maturity and generative capacity of New Albany Shale source rocks. The generative basin was also divided into seven oil-migration catchments. The catchments were determined using a surface-flow hydrologic model with contoured HI values as input to the model.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr200337","usgsCitation":"Higley, D.K., Henry, M.E., Lewan, M.D., and Pitman, J.K., 2003, The New Albany Shale petroleum system, Illinois basin - Data and map image archive from the material-balance assessment (Supersedes Open-File Report 01-162): U.S. Geological Survey Open-File Report 2003-37, HTML Document, https://doi.org/10.3133/ofr200337.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":178241,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402720,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_54654.htm","linkFileType":{"id":5,"text":"html"}},{"id":4596,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-037/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois, Indiana","otherGeospatial":"Illinois basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.219970703125,\n 37.75334401310656\n ],\n [\n -86.11083984375,\n 37.75334401310656\n ],\n [\n -86.11083984375,\n 40.84706035607122\n ],\n [\n -89.219970703125,\n 40.84706035607122\n ],\n [\n -89.219970703125,\n 37.75334401310656\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Supersedes Open-File Report 01-162","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67ad4d","contributors":{"authors":[{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":242349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, M. E.","contributorId":103734,"corporation":false,"usgs":true,"family":"Henry","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":242352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewan, M. D.","contributorId":46540,"corporation":false,"usgs":true,"family":"Lewan","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":242350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":242351,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":50817,"text":"ofr2003107 - 2003 - Sediment-hosted copper deposits of the world: Deposit models and database","interactions":[],"lastModifiedDate":"2023-08-11T13:36:25.821809","indexId":"ofr2003107","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","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":"2003-107","title":"Sediment-hosted copper deposits of the world: Deposit models and database","docAbstract":"Introduction\r\n\r\nThis publication contains four descriptive models and four grade-tonnage models for sediment hosted copper deposits. Descriptive models are useful in exploration planning and resource assessment because they enable the user to identify deposits in the field and to identify areas on geologic and geophysical maps where deposits could occur. Grade and tonnage models are used in resource assessment to predict the likelihood of different combinations of grades and tonnages that could occur in undiscovered deposits in a specific area. They are also useful in exploration in deciding what deposit types meet the economic objectives of the exploration company. The models in this report supersede the sediment-hosted copper models in USGS Bulletin 1693 (Cox, 1986, and Mosier and others, 1986) and are subdivided into a general type and three subtypes. The general model is useful in classifying deposits whose features are obscured by metamorphism or are otherwise poorly described, and for assessing regions in which the geologic environments are poorly understood. The three subtypes are based on differences in deposit form and environments of deposition. These differences are described under subtypes in the general model.\r\n\r\nDeposit models are based on the descriptions of geologic environments and physical characteristics, and on metal grades and tonnages of many individual deposits. Data used in this study are presented in a database representing 785 deposits in nine continents. This database was derived partly from data published by Kirkham and others (1994) and from new information in recent publications. To facilitate the construction of grade and tonnage models, the information, presented by Kirkham in disaggregated form, was brought together to provide a single grade and a single tonnage for each deposit. Throughout the report individual deposits are defined as being more than 2,000 meters from the nearest adjacent deposit.\r\n\r\nThe deposit models are presented here as a PDF file. The database can be most conveniently read in FileMaker Pro. For those who do not have the FileMaker application, Microsoft-Excel, tab-delimited-ASCII and comma-separated-value files are included. The reader may be interested in a similar publication on porphyry copper deposits (Singer and others, 2005) also available online.\r\n\r\nThe Google Earth image is not intended to be viewed at the highest possible magnification because the resolution of the database is plus or minus two kilometers. At extreme zoom settings, the deposit locations may not coincide with the Google-Earth images of the mine workings.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr2003107","usgsCitation":"Cox, D.P., Lindsey, D.A., Singer, D.A., Moring, B.C., and Diggles, M.F., 2003, Sediment-hosted copper deposits of the world: Deposit models and database (Version 1.3, Revised Jun 2007): U.S. Geological Survey Open-File Report 2003-107, Report: 53 p.; 1 Plate: 46.90 × 28.43 inches, https://doi.org/10.3133/ofr2003107.","productDescription":"Report: 53 p.; 1 Plate: 46.90 × 28.43 inches","additionalOnlineFiles":"Y","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":178565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":388453,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81484.htm"},{"id":7668,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/of03-107/data_v1.3/","linkFileType":{"id":5,"text":"html"}},{"id":7671,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2003/of03-107/sed_cu_plot_v1.3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7670,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/of03-107/of03-107.pdf"},{"id":4604,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/of03-107/","linkFileType":{"id":5,"text":"html"}},{"id":7669,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2003/of03-107/version_history.txt","linkFileType":{"id":2,"text":"txt"}}],"scale":"5000000","edition":"Version 1.3, Revised Jun 2007","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e0e4b07f02db5e4119","contributors":{"authors":[{"text":"Cox, Dennis P. dcox@usgs.gov","contributorId":2766,"corporation":false,"usgs":true,"family":"Cox","given":"Dennis","email":"dcox@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":242382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindsey, David A. 0000-0002-9466-0899 dlindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-9466-0899","contributorId":773,"corporation":false,"usgs":true,"family":"Lindsey","given":"David","email":"dlindsey@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":242380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singer, Donald A. dsinger@usgs.gov","contributorId":5601,"corporation":false,"usgs":true,"family":"Singer","given":"Donald","email":"dsinger@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":242383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moring, Barry C. 0000-0001-6797-9258 moring@usgs.gov","orcid":"https://orcid.org/0000-0001-6797-9258","contributorId":2794,"corporation":false,"usgs":true,"family":"Moring","given":"Barry","email":"moring@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":880088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diggles, Michael F. 0000-0002-9946-0247 mdiggles@usgs.gov","orcid":"https://orcid.org/0000-0002-9946-0247","contributorId":810,"corporation":false,"usgs":true,"family":"Diggles","given":"Michael","email":"mdiggles@usgs.gov","middleInitial":"F.","affiliations":[{"id":5066,"text":"Office of the Director USGS","active":true,"usgs":true},{"id":5053,"text":"IPDS Training","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":242381,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":50805,"text":"ofr20035 - 2003 - Java Programs for Using Newmark's Method and Simplified Decoupled Analysis to Model Slope Performance During Earthquakes","interactions":[{"subject":{"id":39892,"text":"ofr02201 - 2002 - Java programs for using Newmark's method to model slope performance during earthquakes","indexId":"ofr02201","publicationYear":"2002","noYear":false,"title":"Java programs for using Newmark's method to model slope performance during earthquakes"},"predicate":"SUPERSEDED_BY","object":{"id":50805,"text":"ofr20035 - 2003 - Java Programs for Using Newmark's Method and Simplified Decoupled Analysis to Model Slope Performance During Earthquakes","indexId":"ofr20035","publicationYear":"2003","noYear":false,"title":"Java Programs for Using Newmark's Method and Simplified Decoupled Analysis to Model Slope Performance During Earthquakes"},"id":1}],"lastModifiedDate":"2019-10-18T12:30:20","indexId":"ofr20035","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","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":"2003-5","title":"Java Programs for Using Newmark's Method and Simplified Decoupled Analysis to Model Slope Performance During Earthquakes","docAbstract":"Landslides typically cause a large proportion of earthquake damage, and the ability to predict slope performance during earthquakes is important for many types of seismic-hazard analysis and for the design of engineered slopes. Newmark's method for modeling a landslide as a rigid-plastic block sliding on an inclined plane provides a useful method for predicting approximate landslide displacements. Newmark's method estimates the displacement of a potential landslide block as it is subjected to earthquake shaking from a specific strong-motion record (earthquake acceleration-time history). A modification of Newmark's method, decoupled analysis, allows modeling landslides that are not assumed to be rigid blocks.\r\n\r\nThis open-file report is available on CD-ROM and contains Java programs intended to facilitate performing both rigorous and simplified Newmark sliding-block analysis and a simplified model of decoupled analysis. For rigorous analysis, 2160 strong-motion records from 29 earthquakes are included along with a search interface for selecting records based on a wide variety of record properties. Utilities are available that allow users to add their own records to the program and use them for conducting Newmark analyses. Also included is a document containing detailed information about how to use Newmark's method to model dynamic slope performance. This program will run on any platform that supports the Java Runtime Environment (JRE) version 1.3, including Windows, Mac OSX, Linux, Solaris, etc. A minimum of 64 MB of available RAM is needed, and the fully installed program requires 400 MB of disk space.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20035","isbn":"0607891432","usgsCitation":"Jibson, R.W., and Jibson, M.W., 2003, Java Programs for Using Newmark's Method and Simplified Decoupled Analysis to Model Slope Performance During Earthquakes (Version 1.1; Supersedes Open-File Reports 01-116 and 02-201): U.S. Geological Survey Open-File Report 2003-5, 1 CD-ROM, https://doi.org/10.3133/ofr20035.","productDescription":"1 CD-ROM","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":178152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":368411,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0005/ofr20035.zip","text":"Disc","linkFileType":{"id":6,"text":"zip"}}],"edition":"Version 1.1; Supersedes Open-File Reports 01-116 and 02-201","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db623606","contributors":{"authors":[{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":242347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jibson, Matthew W.","contributorId":69199,"corporation":false,"usgs":true,"family":"Jibson","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":242348,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":50821,"text":"ofr03155 - 2003 - Four models used for numerical simulation of a borehole radar antenna","interactions":[],"lastModifiedDate":"2012-02-02T00:11:23","indexId":"ofr03155","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","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":"2003-155","title":"Four models used for numerical simulation of a borehole radar antenna","docAbstract":"In this report are four different models that represent an antenna used by personnel at the U.S. Geological Survey for crosswell investigations. The four models vary in complexity and concomitantly the accuracy with which they represent the actual antenna. These models are used in numerical simulations of the antenna to determine how it radiates radar waves.","language":"ENGLISH","doi":"10.3133/ofr03155","usgsCitation":"Ellefsen, K.J., and Wright, D.L., 2003, Four models used for numerical simulation of a borehole radar antenna (Version 1.0): U.S. Geological Survey Open-File Report 2003-155, 15 p., https://doi.org/10.3133/ofr03155.","productDescription":"15 p.","costCenters":[],"links":[{"id":178357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4608,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-155/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a807d","contributors":{"authors":[{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":242391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, David L. dwright@usgs.gov","contributorId":1132,"corporation":false,"usgs":true,"family":"Wright","given":"David","email":"dwright@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":242392,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":44563,"text":"wri024218 - 2003 - Estimating water temperatures in small streams in western Oregon using neural network models","interactions":[],"lastModifiedDate":"2017-02-07T09:15:55","indexId":"wri024218","displayToPublicDate":"2003-05-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4218","title":"Estimating water temperatures in small streams in western Oregon using neural network models","docAbstract":"Artificial neural network models were developed to estimate water temperatures in small streams using data collected at 148 sites throughout western Oregon from June to September 1999. The sites were located on 1st-, 2nd-, or 3rd-order streams having undisturbed or minimally disturbed conditions. Data collected at each site for model development included continuous hourly water temperature and description of riparian habitat. Additional data pertaining to the landscape characteristics of the basins upstream of the sites were assembled using geographic information system (GIS) techniques. Hourly meteorological time series data collected at 25 locations within the study region also were assembled.\r\n\r\nClustering analysis was used to partition 142 sites into 3 groups. Separate models were developed for each group. The riparian habitat, basin characteristic, and meteorological time series data were independent variables and water temperature time series were dependent variables to the models, respectively. Approximately one-third of the data vectors were used for model training, and the remaining two-thirds were used for model testing. Critical input variables included riparian shade, site elevation, and percentage of forested area of the basin. Coefficient of determination and root mean square error for the models ranged from 0.88 to 0.99 and 0.05 to 0.59 oC, respectively. The models also were tested and validated using temperature time series, habitat, and basin landscape data from 6 sites that were separate from the 142 sites that were used to develop the models.\r\n\r\nThe models are capable of estimating water temperatures at locations along 1st-, 2nd-, and 3rd-order streams in western Oregon. The model user must assemble riparian habitat and basin landscape characteristics data for a site of interest. These data, in addition to meteorological data, are model inputs. Output from the models include simulated hourly water temperatures for the June to September period. Adjustments can be made to the shade input data to simulate the effects of minimum or maximum shade on water temperatures.","language":"ENGLISH","doi":"10.3133/wri024218","usgsCitation":"Risley, J.C., Roehl, E.A., and Conrads, P., 2003, Estimating water temperatures in small streams in western Oregon using neural network models: U.S. Geological Survey Water-Resources Investigations Report 2002-4218, 67 p., https://doi.org/10.3133/wri024218.","productDescription":"67 p.","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":134973,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":3779,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri024218/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc05c","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":230001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":230002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":230000,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}