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Filters: partyWithName: Anjana K Shah (X) > partyWithName: Natural Hazards (X)

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This data release provides digital flight line data for a high-resolution airborne magnetic and radiometric survey over Charleston, South Carolina and the surrounding region. These data were collected to better understand earthquake hazards in the Charleston seismic zone by imaging structural features in the crystalline basement and to image heavy mineral sands containing titanium, zirconium, and rare earth elements using radiometric data (gamma spectrometry), which is sensitive to thorium in monazite. This survey represents a collaborative effort by the U.S. Geological Survey (USGS) Earthquake Hazards Program, Mineral Resources Program, National Cooperative Mapping Program, and Earth Mapping Resource Initiative...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Berkeley County, Charleston, Charleston County, Clarendon County, Colleton County, All tags...
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We present a numeric grid containing estimates of the thickness of unconsolidated sediments for the western United States. Values for these grids were combined and integrated from previous studies or derived directly from gravity analyses. The grids are provided with 1-km grid-node spacing in WGS84 latitude-longitude coordinates. Detailed information regarding the derivation of these estimates is provided by Shah, A.K, and Boyd, O.S., 2018, Depth to basement and thickness of unconsolidated sediments for the western United States - Initial estimates for layers of the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2018-1115, https://doi.org/10.3133/ofr20181115.
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We present a numeric grid containing estimates of the depth to the pre-Cenozoic basement for the western United States. Values for these grids were combined and integrated from previous studies or derived directly from gravity analyses. The grids are provided with 1-km grid-node spacing in WGS84 latitude-longitude coordinates. Detailed information regarding the derivation of these estimates is provided by Shah, A.K. and Boyd, O.S., 2018, Depth to basement and thickness of unconsolidated sediments for the western United States - Initial estimates for layers of the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2018-1115, https://doi.org/10.3133/ofr20181115.
This release provides the data and interpretations supporting evidence of late Quaternary faulting along Crowleys Ridge in the New Madrid seismic zone. The release includes location information for seismic reflection and airborne electromagnetic (AEM) data over Crowleys Ridge, a table of topographic metrics derived from analysis of the 10m National Elevation Dataset (NED) digital elevation model (DEM), a shapefile of scarps mapped on a 1m bare-earth lidar DEM, and a shapefile of a revised New Madrid seismic zone fault network interpretation. These datasets are associated with the publication: Thompson Jobe, J.A., Gold, R.D., Briggs, R.W., Williams, R.A., Stephenson, W.J., Delano, J.E., Shah, A.K., Minsley, B.J.,...
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Seismic hazard assessments depend on an accurate prediction of ground motion, which in turn depends on a base knowledge of three-dimensional variations in density, seismic velocity, and attenuation. The datasets here are components of a National Crustal Model that couples geologic characteristics and geophysical parameters using a physical theoretical foundation combined with measured data for calibration. The model is intended to be internally consistent and seamless on a national scale; care is also taken to maximize consistency with existing regional models. An initial version of the model components are defined for the western U.S. on a 1-km grid. While the current focus of this effort is on improving estimates...


    map background search result map search result map Components of the USGS National Crustal Model Thickness of unconsolidated sediments for the USGS National Crustal Model Depth to Mesozoic basement for the USGS National Crustal Model Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019 Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019 Depth to Mesozoic basement for the USGS National Crustal Model Thickness of unconsolidated sediments for the USGS National Crustal Model Components of the USGS National Crustal Model