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Geochemists have long recognized a correlation between rates of physical denudation and chemical weathering. What underlies this correlation? The Critical Zone can be considered as a feed-through reactor. Downward advance of the weathering front brings unweathered rock into the reactor. Fluids are supplied through precipitation. The reactor is stirred at the top by biological and physical processes. The balance between advance of the weathering front by mechanical and chemical processes and mass loss by denudation fixes the thickness of the Critical Zone reactor. The internal structure of this reactor is controlled by physical processes that create surface area, determine flow paths, and set the residence time of...
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LiDAR scans were taken using a tripod mounted Riegl VZ-400 scanning LiDAR. The tripod was set up such that the scanner was between 1.5 and 2.5 m tall. The VZ-400 is a near infrared (1550 nm) scanner. Geometric control was achieved using a pair of Trimble RB GPS antennae, one mounted on the LiDAR scanner (rover) and the other setup as a base station. Before taking a LiDAR scan, the VZ-400 would use the GPSs to fix a real time kinematic (RTK) solution for the scanner’s location and then use that position (scan position) as a reference for LiDAR returns. Post processing was done using RIScan-Pro version 2 (scanner specific software). Also, in post-processing, overlapping areas of point clouds were merged and inaccuracies...
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This dataset consists of values representing the generalized thickness (in feet) of regolith sediments (alluvium, colluvium, and weathered bedrock) overlying well-consolidated bedrock in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Regolith thickness in this dataset was derived from contours presented in the dataset rglth_contours. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
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Dependable access to critical minerals information is vital to ensuring the continued domestic security and economic prosperity of the United States. At present, Alabama has known deposits, prospects, and occurrences of at least 21 of these commodities, including aluminum, arsenic, barium, beryllium, chromium, cobalt, fluorite, graphite, lithium, magnesium, manganese, platinum group metals (PGMs), rare earth elements (REEs), tantalum, tin, thorium, titanium, uranium, vanadium, zinc, and zirconium; but may have as many 31, including potential occurrences of gallium, germanium, hafnium, indium, lanthanum, nickel, niobium, rhenium, selenium, and yttrium. Although none of these commodities are currently being produced...
Categories: Data; Types: Collection, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Alabama graphite belt, Alabama graphite-V belt, Alabama pegmatite zone, Alleghanian-Neoacadian regolith, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This point dataset contains geologic information concerning regolith thickness and top-of-bedrock altitude at selected well and test-hole locations in and near the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado. Data were compiled from published reports, consultant reports, and from lithologic logs of wells and test holes on file with the U.S. Geological Survey and the Colorado Division of...
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Note: this data release is currently being revised and is temporarily unavailable. A water-supply plan is being developed for Wake County, North Carolina, in accordance with the 50-year planning window used by the North Carolina Division of Water Resources for residents in unincorporated areas of the county. To develop this supply plan, Wake County seeks to better understand the sustainability of groundwater resources of the regolith/fractured-rock aquifer system. Slug tests were performed in 17 wells in the Wake County area, during 2020 and 2021, to provide values of horizontal hydraulic conductivity and transmissivity to support the development of Wake County’s water-supply plan. Wake County is in the Piedmont...
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This data release contains model inputs, R code, and model outputs for predicting depth to bedrock in the Delaware River Basin at a 1km gridded resolution with a random forest model. Model inputs are provided in a comma-separated value (csv) file. The training data used in this study of 72,773 point observations of depth to bedrock (DTB) within the Delaware River Basin (DRB) that was compiled from several sources. These data were attributed with 15 predictor variables representing topographic, soil, geologic, and physiographic characteristics of the depth to bedrock observation. One predictor variable is a grouped surficial geology category that was adapted from the State Geologic Map Compilation (Horton and others,...
Thirteen geospatial datasets were developed to characterize the shallow groundwater system in the Lower Gunnison River Basin, Colorado. These geospatial datasets provide information about regolith thickness and altitude of the bedrock surface underlying regolith and display, in vector and raster formats, the generalized extent and thickness of regolith sediments that comprise the shallow groundwater system in the Lower Gunnison River Basin; display, in raster and vector format, the generalized altitude and configuration of the bedrock surface that comprises the base of the shallow groundwater system in the Lower Gunnison River Basin; provide information about depth to water, altitude of the potentiometric surface,...
This point dataset contains geologic information concerning regolith thickness and top-of-bedrock altitude at selected well and test-hole locations in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Regolith-thickness data were compiled from lithologic logs of wells and boreholes reported by the Colorado Division of Water Resources, U.S. Geological Survey, and Bureau of Reclamation. Bedrock-altitude values were computed from the bedrock altitude raster dataset (bralt). The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
Chemical or mineralogical profiles in regolith display reaction fronts that document depletion of leachable elements or minerals. A generalized equation employing lumped parameters was derived to model such ubiquitously observed patterns: C = C 0 C 0 − C x = 0 C x = 0 exp ( Γ ini · k ˆ · x ) + 1 Here C, Cx = 0, and Co are the concentrations of an element at a given depth x, at the top of the reaction front, or in parent respectively. Γini is the roughness of the dissolving mineral in the parent and k̂ˆ is a lumped kinetic parameter. This kinetic parameter is an inverse function of the porefluid advective velocity and a direct function of the dissolution rate constant times mineral surface area per unit volume regolith....
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This dataset consists of isopach contours showing the generalized thickness of regolith sediments (alluvium, colluvium, and weathered bedrock) overlying well-consolidated bedrock in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Regolith thickness was contoured manually on the basis of regolith-thickness values in the point dataset geologic_data. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
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This dataset contains whole major element geochemical data used to calculate values of the chemical alteration index (CIA), data for Nd, Sm, Y, and total REE and expected ranges for total REEY for samples of regolith overlying the Stewartsville pluton, Virginia. The southeastern United States was first identified as prospective for regolith-hosted REE deposits based on the recognition that the region has been subjected to a long history of intense differential chemical weathering and saprolitization, comparable to that which formed the REE clay deposits of South China and Southeast Asia since the break-up of Pangea (Foley and Ayuso, 2013). Foley et al. (2014) established that due to their inherent high concentrations...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset consists of raster-based generalized thickness of regolith (unconsolidated sediments) overlying bedrock in the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado. Regolith thickness in this dataset was derived from contours presented in the dataset ds507_regthick_contours. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Geological Survey and the Lost...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset consists of contours showing generalized lines of equal regolith (unconsolidated sediment) thickness overlying bedrock in the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado. Regolith thickness was contoured manually on the basis of information provided in the dataset ds507_regolith_data. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Geological...


    map background search result map search result map Selected geologic data for the shallow groundwater system in the Lower Gunnison River Basin, Colorado Regolith-thickness raster for the shallow groundwater system in the Lower Gunnison River Basin, Colorado Regolith-thickness contours for the shallow groundwater system in the Lower Gunnison River Basin, Colorado Chemical alteration index values and rare earth element data and expected ranges for regolith overlying the Stewartsville pluton, Virginia Selected geologic data for wells and test holes in and near the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado Contours of regolith thickness for the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado Raster-based regolith thickness of the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado FY 2021 Fossil, Mineral, and Map Conservation for Alabama (Priority 2) NASA GIFT Iceland Highlands: 2015-2019 Baugur LiDAR Water-level data and results for slug tests performed in 17 wells in Wake County, North Carolina, 2020 and 2021 (Under Revision) Delaware River Basin depth to bedrock observations, model predictions, and explanatory variables NASA GIFT Iceland Highlands: 2015-2019 Baugur LiDAR Chemical alteration index values and rare earth element data and expected ranges for regolith overlying the Stewartsville pluton, Virginia Selected geologic data for wells and test holes in and near the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado Contours of regolith thickness for the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado Raster-based regolith thickness of the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado Water-level data and results for slug tests performed in 17 wells in Wake County, North Carolina, 2020 and 2021 (Under Revision) Selected geologic data for the shallow groundwater system in the Lower Gunnison River Basin, Colorado Regolith-thickness contours for the shallow groundwater system in the Lower Gunnison River Basin, Colorado Regolith-thickness raster for the shallow groundwater system in the Lower Gunnison River Basin, Colorado FY 2021 Fossil, Mineral, and Map Conservation for Alabama (Priority 2) Delaware River Basin depth to bedrock observations, model predictions, and explanatory variables