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Aquifer Sensitivity Assessment

Aquifer Sensitivity Assessment. Black Hills South Dakota A GIS Project by Annette Smith. Introduction . Location Uniqueness DRASTIC Model Modeling with ArcView Weighted Model with ModelBuilder Complications and Problems. Previous Work. Black Hills Hydrology Study

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Aquifer Sensitivity Assessment

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  1. Aquifer Sensitivity Assessment Black Hills South Dakota A GIS Project by Annette Smith

  2. Introduction • Location • Uniqueness • DRASTIC Model • Modeling with ArcView • Weighted Model with ModelBuilder • Complications and Problems

  3. Previous Work • Black Hills Hydrology Study • funded by US Geological Survey • United States Environmental Protection Agency (USEPA)

  4. United States: Black Hills Inset A A’’ Location

  5. Black Hills Cross Section A A’

  6. EPA Aquifer Sensitivity Model • Depth to Aquifer • Recharge • Aquifer Type • Soil • Topography • Intermediate Materials • Conductivity

  7. The Equation (DI) DRASTIC Index = D r D w + R r R w + A r A w + S r S w + T r T w + I r I w + C r C w where r = rating and w = weight • Result: Sensitivity to Surface Contamination

  8. Locating Data for the Model • Required Layers : D R A S T I C • Data Sources: • USGS • SD Hydrology Study • USDA • Soils

  9. Building Themes • Import from .e00 to ArcView • Match Projection • Merge/ Join/ Intersect/ Overlay • Assigning ratings

  10. Complication: Multiple Aquifers

  11. Local Aquifers

  12. Directly Downloaded Depth to Aquifer Soil Type From Geology Intermediate Material Topography From Literature Recharge Aquifer Media Hydraulic Conductivity Data Analysis

  13. Weighted Addition of All

  14. Model Building • Convert to Grid • Weighted Model • Model Builder

  15. Assign Ratings • Values from 1 - 10 • Based on Ranges • Creates a relative result • Region Specific

  16. Final Sensitivity Product Red (9) indicates area of extremely high sensitivity.

  17. Overcoming Problems • Analysis of soil thickness

  18. Determining Slope – DEM unuseful Extrapolate from soil thickness

  19. Points of Consideration • Time for Data Retrieval • In depth knowledge of local geology • Space and Time required for Processing • Projection Difficulties • Regional and Relative

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