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Phase 5 Watershed Model Riverine Water Quality Calibration Update. Modeling Subcommittee Quarterly Review 4/4/2006. Calibration of River Nutrients. Process Parameter Files. Model Structure Files. Optimization Routine. Two Calibration Strategies. PEST Complex Long run times - PowerPoint PPT Presentation
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Phase 5 Watershed ModelRiverine Water Quality
Calibration Update
Modeling Subcommittee
Quarterly Review
4/4/2006
Calibration of River Nutrients
Final TextOutput
River variableWDM
METWDM
ATDEPWDM
PSWDM
River Input File Generator
5
6
4
ProcessParameter
FilesModel Structure
Files
OptimizationRoutine
Two Calibration Strategies
• PEST– Complex– Long run times– Has been used successfully with HSPF in other
applications
• Rule-Based Optimization– Complex– Runs quickly– Similar to successful flow and temperature
calibrations in phase 5
PEST
Final TextOutput
River variableWDM
METWDM
ATDEPWDM
PSWDM
River Input File Generator
5
6
4
ProcessParameter
Files • Determine the sensitivity of each parameter to the agreement of simulated and observed
• Determine the quickest route to the best simulation
• Take a large step in that direction
PEST Status
• Runs
• Calculates matrix of sensitivities and updates parameters
• Won’t be useful globally within the month– Angelica on leave– Would have to take all CBP modeling
computer resources starting now
Uncalibrated
Modification by PEST
Final TextOutput
River variableWDM
METWDM
ATDEPWDM
PSWDM
River Input File Generator
5
6
4
ProcessParameter
Files • Assume the sensitivity of each parameter to the agreement of simulated and observed
• Determine the quickest route to the best simulation
• Take a small step in that direction
Rule-Based Optimization
Rule-Based River Calibration Method
• Consistent with recommendations of STAC review team
• Based on matching observed and simulated CFDs for paired data
10-1
100
101
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
TOTAL N, IN MG/L
CU
MU
LAT
IVE
DIS
TR
IBU
TIO
N
EMPIRICAL CUMULATIVE DISTRIBUTION FOR TOTN >> scen: WQT1 >> seg: RU5-6030-0001 >> name: RAPPAHANNOCK R
h = 1p = 7.6549e-055k = 0.53089
SimulatedObserved
Turn up denitrification
Settle more phytoplankton
Settle more phytoplankton
Settle less Refractory
Don’t Change ammonia scour and release
Final TextOutput
River variableWDM
METWDM
ATDEPWDM
PSWDM
River Input File Generator
5
6
4
ProcessParameter
Files • Currently working on runs that calculate normal sensitivity ranges for use in this process
• Older sensitivities were calculated with poor Edge-of-Field and gave mixed results
Rule-Based Optimization
Status
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Uncalibrated
Calibrated
Phase 4.3
Status of River Calibration
• Calibration method improves simulation
• Results in the ballpark of phase 4
• Need revised rules to complete calibration
Extension to 8/2005Data Sources
• Rain, Temperature, PET– Jeff Raffensperger
• Solar Radiation, Cloud Cover, Dewpoint, Wind Speed– Ping Wang
• Atmospheric Deposition– Extended model of Grimm/Lynch
Extension to 8/2005Data Sources
• Point Sources– Ning Zhou
• Diversions– Extended work from USGS
• Land Use– Extrapolated from 2002
Susquehanna
Susquehanna
Potomac
Potomac
James
James
Rappahannock
Rappahannock
Random Small Watershed
Random Small Watershed
1985-1999 efficiency
0
5
10
15
20
25
30
35
40
45
50le
ss th
an -1
-0.8
to -0
.75
-0.5
5 to
-0.5
-0.3
to -0
.25
-0.0
5 to
0
0.2
to 0
.25
0.45
to 0
.5
0.7
to 0
.75
0.95
to 1
2000-2002 efficiency
0
5
10
15
20
25
30
35
40
45
50le
ss th
an -1
-0.8
to -0
.75
-0.5
5 to
-0.5
-0.3
to -0
.25
-0.0
5 to
0
0.2
to 0
.25
0.45
to 0
.5
0.7
to 0
.75
0.95
to 1
Extension to 2005
• Simulation runs through WY 2005
• Simulation in 2000-2002 not as good as 1985-1999
• 2000-2002 are drought years, so check through 2005 and re-evaluate