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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. - PowerPoint PPT Presentation
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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
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
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
Stream Data•Water Chemistry•Temperature•Instream Habitat•Biological communities•Ecosystem processes
GIS-based Watershed Model
Watershed Restoration Master Plan
• 5 year plan• Priority implementation sequence• Expected costs and fisheries benefits• General guidance regarding reclamation
project designs
Landscape Data•Land Cover•Geology•Drainage Networks•Mine Data•Expected Development•Mine pool elevations
Monitoring & Assessment• Assess progress towards implementing
the master plan
Fishery / Ecological Priorities•Priorities to maximize recovery of coldwater and warmwater fisheries (EcoUnits).
•Reach scale and subwatershed (10-12 digit HUC) scale priorities.
•Points to stream segments where recovered fisheries are possible, and if recovered, would be highly valuable.
Reclamation Priorities•Action-by-action priorities needed to recover fisheries priorities.
• Implementation of at-source, in situ, and instream reclamation actions.
•Maximize cost:benefit efficiency.
Reclamation Design• Detailed engineering design of priority
reclamation projects
Project Implementation• Construction of priority reclamation
projects
Stakeholder Input
Need
• Integrate various chemical and ecological modeling components
• Spatial data
• Reproducible
• Standardize
• Visually illustrate remediation alternative outcomes
Chemical costs for AMD treatment
-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
WV
Str
ea
m C
on
diti
on
In
de
x
0
10
20
30
40
50
60
70
80
90
100
ReferenceModerate MiningIntensive Mining
WVSCI = 52.3 * exp (-0.504 x PC1)R2 = 0.804d.f. = 33
PC 1pH (-0.856)Alkalinity (-0.685)
Conductivity (0.851)Acidity (0.706)Hardness (0.684)Sulfates (0.862)Aluminum (0.934)Chromium (0.661)Iron (0.890)Manganese (0.893)Nickel (0.910)
Ecological Condition Models (bugs)
f (PC1 (80%), CVPC1 (9%))
0
3
6
9
12
15
18
21
0 3 6 9 12 15 18 21
Expected Species Richness
Obs
erve
d Sp
ecie
s R
ichn
ess
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%))
Spatial AnalysisSpatial Analysis
• Location plays an important role in watershed management
• Spatial analysis quantifies relationships between locations
• Geographic Information Systems (GIS) aids in the analysis
Decision Support SystemDecision 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)
Questions to Address: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?
Mass balance water quality prediction
• Mass balance
5
“Smart” accumulator
9
3
1
6Note:
Sampled
Modeled
5
11
3
1
8
Segment-level watersheds
Outlet
Select study area
Mass balance water quality prediction
• Mass balance
5
“Smart” accumulator
9
3
1
6Note:
Sampled
Modeled
5
11
3
1
8
WV Stream Condition Index
SummarySummary
• 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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