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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...
Search relevance: 1.00 | Views last month: 5 | Catalog Last Checked: August 01, 2026 at 05:51 AM -
An existing three-dimensional model (MODFLOW-2000) by Fine, Petkewich, and Campbell (2017) (https://doi.org/10.3133/sir20175128) was used to evaluate 7 water-management scenarios and predict the...
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Airborne radiometric data are provided here as part of the data release "Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019." This data release includes the...
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BERKELEY, CHARLESTON, ORANGEBURG LIDAR DATA COLLECTION Lidar Data Acquisition and Processing Production Task Charleston County Contract Number: 6004 RFQ Number: 6004-25C Woolpert Order No:...
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An existing three-dimensional model (MODFLOW-2000) by Petkewich and Campbell (2007) was updated to simulate potential changes in groundwater flow and groundwater-level conditions caused by...
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Airborne magnetic gradiometry data are provided here as part of the data release, "Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019." This data release...
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This database portrays the surface and shallow subsurface geology of the greater Charleston, S.C. region east of 80°30′ west and south of 33°15′ north. The region covers the entirety of Charleston...
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The U.S. Geological Survey in cooperation with Mount Pleasant Water Works updated an existing three-dimensional model (MODFLOW-2000) by Fine, Petkewich, and Campbell (2017)...
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An existing three-dimensional model (MODFLOW-2000) by Petkewich and Campbell was modified to simulate potential changes in groundwater-level conditions caused by withdrawals from a proposed well...
Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: August 01, 2026 at 03:53 AM -
An existing three-dimensional model (MODFLOW-2000) by Petkewich and Campbell (2007) (https://pubs.usgs.gov/sir/2007/5126/) was updated to simulate six predictive water-management scenarios that...
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The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018....
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These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: August 02, 2026 at 11:45 PM
