modeling copper runoff in san francisco bay area watersheds jim carleton us epa
TRANSCRIPT
Modeling Copper Runoff in San Francisco Bay Area
Watersheds
Jim Carleton
US EPA
BPP Technical Studies
Copper Source Loading Estimates (Process Profiles)
Physical & ChemicalCharacterization of
Wear Debris (Clemson University)
WaterQuality
Monitoring (ACCWP)
Steering Committee, Scientific Advisory Team, andStakeholder Involvement Process (Sustainable Conservation)
AirDepositionModeling
(AER)
WatershedModeling
(U.S. EPA)
BayModeling (URS)
Final ReportData Assessment
Conclusions
Air Deposition
Monitoring (SFEI)
Representative Sample of Brake PadWear Debris
(BMC/Link Test Labs)
Castro Valley street TCu deposition/accumulation post-rain (Pitt,1981)
0
0.02
0.04
0.06
0.08
0 20 40 60 80 100 120
day
TC
u lb
/cur
b m
ile
data first-order f it
tkek
kM 21
2
1
Copper Build-up on Impervious Surfaces
Copper on Suspended Sediment in Bay Area Streams
All simultaneous TCu & TSS Data (log scale)
1
10
100
1000
10000
100000
0.000 10.000 20.000 30.000 40.000 50.000 60.000
% imperviousness
TC
u/T
SS
(m
g/k
g)
Geometric mean140 mg/kg
Soil background25 mg/kg
Key Questions for Watershed Modeling
• What are deposition rates of copper on pervious and impervious surfaces in the San Francisco Bay area?
• How much of the deposited copper comes from brake pads?
• How much of the copper that is deposited on pervious surfaces ends up transported to streams (and the bay) in runoff?
Watershed Modeling with HSPF
• Castro Valley watershed model used to estimate build-up and washoff parameters.– First calibrate stream flow using local precipitation data
as input.
– Next calibrate suspended sediment and copper against monitoring data.
• Using build-up/washoff parameters from Castro model, run simulation of greater Bay area (multi-watershed) to estimate total loads to Bay.
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Sfbay_grid0Open WaterPerennial Ice/SnowLow Intensity ResidentialHigh Intensity ResidentialCommercial/Industrial/TransportationBare Rock/Sand/ClayQuarries/Strip Mines/Gravel PitsTransitionalDeciduous ForestEvergreen ForestMixed ForestShrublandOrchards/Vinyards/OtherGrasslands/HerbaceousPasture/HayRow CropsSmall GrainsFallowUrban/Recreational GrasslandsWoody WetlandsEmergent Herbaceous Wetlands
Baysheds83.shpCastro_watershed.shpGuadaulperiver.shp
ÊÚ Basmaa sampling locations.shp
20 0 20 40 Miles
N
EW
S
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Sfbay_grid0Open WaterPerennial Ice/SnowLow Intensity ResidentialHigh Intensity ResidentialCommercial/Industrial/TransportationBare Rock/Sand/ClayQuarries/Strip Mines/Gravel PitsTransitionalDeciduous ForestEvergreen ForestMixed ForestShrublandOrchards/Vinyards/OtherGrasslands/HerbaceousPasture/HayRow CropsSmall GrainsFallowUrban/Recreational GrasslandsWoody WetlandsEmergent Herbaceous Wetlands
Baysheds83.shpCastro_watershed.shpGuadaulperiver.shp
ÊÚ Basmaa sampling locations.shp
20 0 20 40 Miles
N
EW
S
Castro Valley watershed
Guadalupe River watershed
Bay Area Watersheds
Castro Valley HSPF Initial Calibration
Using annualized loadings from initial
air deposition monitoring
Guadalupe River HSPF Initial Validation
Using annualized loadings from initial
air deposition monitoring
Future Activities
• Incorporation of modeled source loadings, and will need to look at:– Importance of suspended sediment (which is hard to
model)– Uncertainties in apportioning pervious and impervious
land loadings to copper in stream water column– Sensitivity of model results to choice of model
parameters• Approaches
– Calibration using current data– Checking against historical data– Staying within literature ranges of parameters– Best professional judgment