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Presentation for the 2008 PA AMR and Coal Mining Heritage Conference, State College, PA

An Application of a Hydrologically Networked Watershed Model for Evaluating AMD Treatment Scenarios. Mike Strager, Todd Petty, Brady Gutta, Jennifer Fulton, Rick Herd, Vishesh Maskey, Jim Stiles, Julie Svetlik, and Paul Ziemkiewicz.

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Presentation for the 2008 PA AMR and Coal Mining Heritage Conference, State College, PA

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  1. An Application of a Hydrologically Networked Watershed Model for Evaluating AMD Treatment Scenarios Mike Strager, Todd Petty, Brady Gutta, Jennifer Fulton, Rick Herd, Vishesh Maskey, Jim Stiles, Julie Svetlik, and Paul Ziemkiewicz Presentation for the 2008 PA AMR and Coal Mining Heritage Conference, State College, PA

  2. Project Goal • Restore sustainable fisheries in the majority of WV stream miles lost to historic, pre - law coal mining. • 2,775 AMD impaired stream miles • 114 10 digit HUCs

  3. Objectives • Assist the WVDEP in developing a strategic, watershed-based approach to efficiently determine acid mine drainage (AMD) restoration needs • Develop restoration plans that maximize statewide recovery of cold- and warm-water fisheries • Assess the outcome (ecological and economic) of this effort

  4. Need • Integrate various chemical and ecological modeling components • Spatial data • Reproducible • Standardize • Visually illustrate remediation alternative outcomes

  5. Chemical costs for AMD treatment

  6. Ecological Condition Models (bugs) f (PC1 (80%), CVPC1 (9%))

  7. Ecological Condition Models (Fishes) Good WQ / Low Mine Intensity Region Good WQ / High Mine Intensity Region Bad WQ / High Mine Intensity Region f (basin area (80%), spatial position (8%))

  8. Spatial Analysis Location plays an important role in watershed management Spatial analysis quantifies relationships between locations Geographic Information Systems (GIS) aids in the analysis

  9. Decision Support System An interactive, computer-based system designed to support a user or group of users in achieving a higher effectiveness of decision making Functions: explore solutions by building alternatives allow user interaction and input provide for flexible data and analysis capabilities (Jankowski, 1995)

  10. Questions to Address: What are average and low flows for non-gauged streams and unsampled sites? What are water quality conditions downstream of sampling? Where should abatement activities be focused?

  11. Mass balance water quality prediction • Mass balance • “Smart” accumulator 1 1 5 5 Note: Sampled Modeled 8 6 3 3 11 9

  12. Segment-level watersheds Outlet

  13. Select study area

  14. Mass balance water quality prediction • Mass balance • “Smart” accumulator 1 1 5 5 Note: Sampled Modeled 8 6 3 3 11 9

  15. WV Stream Condition Index

  16. Summary Spatial decision support system allows integration of components Hydrologically networked watersheds linked for “smart” mass balance model A tool for repeatable, transferable, standardized information for watershed management

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