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

3. 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 digitHUCs

4. Objectives 1.Assist the WVDEP in developing a strategic, watershed-based approach to efficiently determine acid mine drainage (AMD) restoration needs 2.Develop restoration plans that maximize statewide recovery of cold- and warm- water fisheries 3.Assess the outcome (ecological and economic) of this effort

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

7. Chemical costs for AMD treatment

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

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

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

11. 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)

12. 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?

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

14. Segment-level watersheds Outlet

23. Select study area

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

33. WV Stream Condition Index

45. 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