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Placer County Water Agency Middle Fork American River Project AQ 4 – Temperature Modeling (Status Report). May 14, 2009. Progress Report. Recap of Upper MF application MF – Interbay to Ralston Geometry Flow Temperature Rubicon Geometry Flow Temperature MF – Below Ralston Progress - PowerPoint PPT Presentation
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1
Placer County Water AgencyPlacer County Water AgencyMiddle Fork American River ProjectMiddle Fork American River Project
AQ 4 –AQ 4 – Temperature ModelingTemperature Modeling(Status Report)(Status Report)
May 14, 2009May 14, 2009
2
Progress ReportProgress Report Recap of Upper MF applicationRecap of Upper MF application MF – Interbay to RalstonMF – Interbay to Ralston
Geometry Geometry FlowFlow TemperatureTemperature
RubiconRubicon Geometry Geometry FlowFlow TemperatureTemperature
MF – Below RalstonMF – Below Ralston Progress Progress ScheduleSchedule
3
Recap of Upper MF applicationRecap of Upper MF application
Continued to refine modelContinued to refine model Updated flowsUpdated flows ResultsResults
4
Temperature Modeling Approach: Temperature Modeling Approach: RecapRecap
Low Flows: < 10 cfs in upper Low Flows: < 10 cfs in upper reachesreaches
Model Features Model Features Habitat type cross sectionsHabitat type cross sections Pool Volume below Stage of Zero FlowPool Volume below Stage of Zero Flow Bed conductionBed conduction Topographic shadingTopographic shading Riparian shadingRiparian shading Terrestrial long-wave radiationTerrestrial long-wave radiation Groundwater accretionGroundwater accretion
5
MF American Below French Meadows MF2-MF American Below French Meadows MF2-RM46.6RM46.6
0
5
10
15
20
25
91 141 191 241 291
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 36Meas_MF2
0
5
10
15
20
25
220 221 222 223 224 225 226 227 228 229 230JDAY (2007)
Tem
pera
ture
, C
Sim_Node 36Meas_MF2
0.700.720.86
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
6
MF American Below French Meadows MF2-MF American Below French Meadows MF2-RM46.6RM46.6
0
5
10
15
20
25
91 141 191 241 291
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 36Meas_MF2
0.700.720.86
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
0
5
10
15
20
25
220 222 224 226 228 230
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 36Meas_MF2168 per. Mov. Avg. (Sim_Node 36)168 per. Mov. Avg. (Meas_MF2)
7
MF American MF 12-RM44.6MF American MF 12-RM44.6
0
5
10
15
20
25
91 111 131 151 171 191 211 231 251 271 291JDAY (2007)
Tem
pera
ture
, C
Sim_Node 174Meas_MF12
0
5
10
15
20
25
220 221 222 223 224 225 226 227 228 229 230JDAY (2007)
Tem
pera
ture
, C
Sim_Node 174Meas_MF12
-0.381.081.32
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
8
MF American MF 12-RM44.6MF American MF 12-RM44.6
0
5
10
15
20
25
91 111 131 151 171 191 211 231 251 271 291JDAY (2007)
Tem
pera
ture
, C
Sim_Node 174Meas_MF12
-0.381.081.32
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
0
5
10
15
20
25
220 221 222 223 224 225 226 227 228 229 230JDAY (2007)
Tem
pera
ture
, C
Sim_Node 174Meas_MF12168 per. Mov. Avg. (Sim_Node 174)168 per. Mov. Avg. (Meas_MF12)
9
MF American MF 11-RM39.4 (above Duncan MF American MF 11-RM39.4 (above Duncan Cr)Cr)
0
5
10
15
20
25
91 111 131 151 171 191 211 231 251 271 291JDAY (2007)
Tem
pera
ture
, C
Sim_Node 500Meas_MF11
0
5
10
15
20
25
220 221 222 223 224 225 226 227 228 229 230JDAY (2007)
Tem
pera
ture
, C
Sim_Node 500Meas_MF11
0.001.261.57
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
10
MF American MF 11-RM39.4 (above Duncan MF American MF 11-RM39.4 (above Duncan Cr)Cr)
0
5
10
15
20
25
91 111 131 151 171 191 211 231 251 271 291JDAY (2007)
Tem
pera
ture
, C
Sim_Node 500Meas_MF11
0.001.261.57
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
0
5
10
15
20
25
220 221 222 223 224 225 226 227 228 229 230JDAY (2007)
Tem
pera
ture
, C
Sim_Node 500Meas_MF11168 per. Mov. Avg. (Sim_Node 500)168 per. Mov. Avg. (Meas_MF11)
11
MF American MF 3-RM36.1 (above Interbay)MF American MF 3-RM36.1 (above Interbay)
0
5
10
15
20
25
91 111 131 151 171 191 211 231 251 271 291
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 750Meas_MF3
0
5
10
15
20
25
220 222 224 226 228 230
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 750Meas_MF3
-0.190.831.03
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
12
MF American MF 3-RM36.1 (above Interbay)MF American MF 3-RM36.1 (above Interbay)
0
5
10
15
20
25
91 111 131 151 171 191 211 231 251 271 291
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 750Meas_MF3
-0.190.831.03
4388
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
0
5
10
15
20
25
220 222 224 226 228 230
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 750Meas_MF3168 per. Mov. Avg. (Sim_Node 750)168 per. Mov. Avg. (Meas_MF3)
13
Middle Fork American – Interbay to Middle Fork American – Interbay to RalstonRalston
RepresentationRepresentation GeometryGeometry FlowFlow TemperatureTemperature
14
Middle Fork American – Interbay to Middle Fork American – Interbay to RalstonRalston
Interbay
Ralston
15
Middle Fork American – Interbay to Middle Fork American – Interbay to Ralston: GeometryRalston: Geometry
Profile (25 meter node spacing)Plan (UTM Coordinates)
4315400
4317400
4319400
4321400
4323400
4325400
4327400
4329400
695000 697000 699000 701000 703000 705000 707000 709000
RiverRM (from Ralston)
Ralston
Interbay Reservoir
350
400
450
500
550
600
650
700
750
800
050100150200250300350400450500550600650700
Node No. (25 m)
Ele
vatio
n, m
River Profile
RM (from Ralston)
Interbay Reservoir
Ralston
16
Middle Fork American – Interbay to Middle Fork American – Interbay to Ralston: HabitatRalston: Habitat
Habitat % Habitat BreakHGR 20.2%LGR 5.9%RUN 26.2%
POOL 41.8%CAS* 5.9%
*Cascades were assumed as HGR.
-
1.0
2.0
3.0
4.0
5.0
6.0
7.0
- 50 100 150 200 250 300 350
Wetted Area, ft 2̂
Sta
ge
, ft
POOL
RUN
LGR
HGR
17
Flow Flow
Inflows to InterbayInflows to Interbay MFMF Hell Hole Reservoir (HH-MF Tunnel)Hell Hole Reservoir (HH-MF Tunnel) AccretionAccretion
Outflows from Interbay Outflows from Interbay MFMF Ralston TunnelRalston Tunnel
Change in storage – assumed Change in storage – assumed zerozero
18
TemperatureTemperature
Three monitoring locations Three monitoring locations between Interbay Dam and between Interbay Dam and RalstonRalston RM35.5 (MF4)RM35.5 (MF4) RM29.4 (MF13)RM29.4 (MF13) RM26.0 (MF10)RM26.0 (MF10)
Time series from May - SeptemberTime series from May - September Graphical and statistical performance measuresGraphical and statistical performance measures
4315400
4317400
4319400
4321400
4323400
4325400
4327400
4329400
695000 697000 699000 701000 703000 705000 707000 709000
UTM-X Coordinates
UT
M-Y
Coo
rdin
ates
River
RM(from Ralston)MF4 Tw Station_RM35.5
MF13 Tw Station_RM29.4MF10 Tw Station_RM26.0
19
MFAR (Interbay-Ralston) MF4-RM35.5MFAR (Interbay-Ralston) MF4-RM35.5
0
5
10
15
20
25
91 141 191 241 291
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 5Meas_MF4
0
5
10
15
20
25
182 183 184 185 186 187 188 189
JDAY (2007)
Tem
pera
ture
, C
Sim_Node 5Meas_MF4
-0.520.771.01
4392
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
20
MFAR (Interbay-Ralston) MF13-RM29.4MFAR (Interbay-Ralston) MF13-RM29.4
0
5
10
15
20
25
91 111 131 151 171 191 211 231 251 271 291JDAY (2007)
Tem
pera
ture
, C
Sim_Node 414Meas_MF13
0
5
10
15
20
25
182 183 184 185 186 187 188 189JDAY (2007)
Tem
pera
ture
, C
Sim_Node 414Meas_MF13
-0.161.161.37
4392
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
21
MFAR (Interbay-Ralston) MF10-RM26.0MFAR (Interbay-Ralston) MF10-RM26.0
0
5
10
15
20
25
182 183 184 185 186 187 188 189JDAY (2007)
Tem
pera
ture
, C
Sim_Node 640Meas_MF10
0
5
10
15
20
25
91 141 191 241 291JDAY (2007)
Tem
pera
ture
, C
Sim_Node 640Meas_MF10
-0.981.531.84
4392
Mean BiasMean absolute error (MAE)
Root mean squared error (RMSE)COUNT
22
Rubicon RiverRubicon River
Implementation assumptionsImplementation assumptions Flow: from Hell Hole Reservoir Flow: from Hell Hole Reservoir
simulationsimulation Water temperatures: from Hell Hole Water temperatures: from Hell Hole
Reservoir simulationReservoir simulation Relationship to span alluviumRelationship to span alluvium
23
Rubicon model representationRubicon model representation
4308000
4310000
4312000
4314000
4316000
4318000
4320000
4322000
4324000
4326000
695000 700000 705000 710000 715000 720000 725000
x
y
Upper Rubicon
Middle Rubicon
Lower Rubicon
RM
RM 3.62RM 24.69
RM 28.8
200
400
600
800
1000
1200
1400
0 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000
Distance from RM 0 (m)
Ele
vati
on
(m
)
24
Rubicon habitat type Rubicon habitat type distributiondistribution
HabitatHabitat
Habitat break
Upper Middle Lower
Total % of Rubicon River
POOL 4% 31% 6% 41%
RUN 2% 14% 3% 20%
LGR 2% 3% 1% 6%
HGR 2% 17% 2% 21%
NOXSEC - 10% 1% 12%
Reach % of Total Rubicon River 11% 76% 13% 100%
Note:
a) NOXSEC were assumed as HGR
b) Values rounded to whole percentages
25
Upper Rubicon: HabitatUpper Rubicon: Habitat
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
0 50 100 150 200 250 300 350 400
Wetted area (ft2)
Sta
ge
(ft)
POOL
RUN
LGR
HGR
Habitat % Habitat break
POOL 39%
RUN 21%
LGR 20%
HGR 16%
NOXSEC 4%
Total 100%
26
Middle Rubicon: HabitatMiddle Rubicon: Habitat
Habitat % Habitat break
POOL 41%
RUN 19%
LGR 4%
HGR 23%
NOXSEC 13
Total 100%
0.0
1.0
2.0
3.0
4.0
5.0
6.0
0 50 100 150 200 250 300 350 400 450 500
Wetted area (ft2)
Sta
ge
(ft)
POOL
RUN
LGR
HGR
27
Lower Rubicon: HabitatLower Rubicon: Habitat
Habitat % Habitat break
POOL 50%
RUN 23%
LGR 8%
HGR 13%
NOXSEC 6%
Total 100%
0.0
1.0
2.0
3.0
4.0
5.0
6.0
0 50 100 150 200 250 300 350 400 450
Wetted area (ft2)
Sta
ge
(ft)
POOL
RUN
LGR
HGR
28
Temperature stationsTemperature stations
RR 3.7
RR 0.7
RR 5.3
RR 14.3
RR 22.5
RR 22.7
RR 25.3
RR 28.8
29
Rubicon River Boundary Rubicon River Boundary ConditionsConditions
4324000
4324500
4325000
4325500
4326000
4326500
721500 722000 722500 723000 723500 724000 724500
UTM-X Coordinates
UT
M-Y
Coo
rdin
ates
River
RR2
RR3
30
Rubicon River Boundary Rubicon River Boundary ConditionsConditions
-6
-4
-2
0
2
4
6
8
10
12
14
16
1/1/06 2/20/06 4/11/06 5/31/06 7/20/06 9/8/06 10/28/06 12/17/06
Tem
pera
ture
, oC
0
6
12
18
24
30
36
42
48
54
60
66
Flo
w, c
ms
RR2RR3Sim HH outflow TwRR3-HHSpillRelease
-6
-4
-2
0
2
4
6
8
10
12
14
16
1/1/07 2/20/07 4/11/07 5/31/07 7/20/07 9/8/07 10/28/07 12/17/07
Tem
pera
ture
, oC
0
6
12
18
24
30
36
42
48
54
60
66
Flo
w, c
ms
RR2RR3Sim HH outflow TwRR3-HHSpillRelease
RR 30.2RR28.8
RR 30.2RR28.8
31
Rubicon River Boundary Rubicon River Boundary ConditionsConditions
Objective: Estimate appropriate boundary condition in Objective: Estimate appropriate boundary condition in alluvial section at headwater under spill and non-spill alluvial section at headwater under spill and non-spill condition. condition. Headwater of the Rubicon River model was placed at RR28.8 Headwater of the Rubicon River model was placed at RR28.8
because of the dry alluvial reach upstream.because of the dry alluvial reach upstream. Develop dual criteria to provide river inflow temperature Develop dual criteria to provide river inflow temperature
boundary conditionboundary condition When Hell Hole Dam is spilling:When Hell Hole Dam is spilling:
1.1. RR28.8 Tw is similar to Hell Hole spill Tw – Large flows RR28.8 Tw is similar to Hell Hole spill Tw – Large flows overwhelm small releases from the dam and short transit time overwhelm small releases from the dam and short transit time yields minimum opportunity for heating.yields minimum opportunity for heating.
2.2. Potential lag effect at RR28.8 Tw – Due to the spill filling Potential lag effect at RR28.8 Tw – Due to the spill filling alluvium and then slowly released.alluvium and then slowly released.
When Hell Hole Dam is not spilling:When Hell Hole Dam is not spilling:1.1. Between RR30.2 and RR28.8, Tw difference of about 2Between RR30.2 and RR28.8, Tw difference of about 2
ooF in F in
June. It diminishes to nearly 0June. It diminishes to nearly 0ooF by October 1F by October 1stst..
Linear relationship assumed from terminus of spill to mid-Linear relationship assumed from terminus of spill to mid-OctoberOctober
32
Model Temperature Boundary Model Temperature Boundary Condition: HeadwaterCondition: Headwater
5
6
7
8
9
10
7/17/07 7/19/07 7/21/07 7/23/07 7/25/07 7/27/07 7/29/07 7/31/07 8/2/07 8/4/07 8/6/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
RR3 Obs
5
6
7
8
9
10
5/1/07 5/21/07 6/10/07 6/30/07 7/20/07 8/9/07 8/29/07 9/18/07
Date - Time
Wa
ter
tem
pe
ratu
re (
o C)
RR3 Obs
33
Temperature: RR 25.3Temperature: RR 25.3
Mean Bias -0.41
Mean absolute error (MAE) 1.37
Root mean squared error (RMSE) 1.74
COUNT 4391
0
5
10
15
20
5/1/07 5/21/07 6/10/07 6/30/07 7/20/07 8/9/07 8/29/07 9/18/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 228
Obs - RR 25.3
0
5
10
15
20
7/17/07 7/19/07 7/21/07 7/23/07 7/25/07 7/27/07 7/29/07 7/31/07 8/2/07 8/4/07 8/6/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 228
Obs - RR 25.3
34
Mean Bias -0.75
Mean absolute error (MAE) 1.68
Root mean squared error (RMSE) 2.12
COUNT 4391
Temperature: RR 22.7Temperature: RR 22.7
0
5
10
15
20
7/17/07 7/19/07 7/21/07 7/23/07 7/25/07 7/27/07 7/29/07 7/31/07 8/2/07 8/4/07 8/6/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 397
Obs - RR 22.7
0
5
10
15
20
5/1/07 5/21/07 6/10/07 6/30/07 7/20/07 8/9/07 8/29/07 9/18/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 397
Obs - RR 22.7
35
Mean Bias -0.42
Mean absolute error (MAE) 1.39
Root mean squared error (RMSE) 1.69
COUNT 4391
Temperature RR 22.5Temperature RR 22.5
0
5
10
15
20
5/1/07 5/21/07 6/10/07 6/30/07 7/20/07 8/9/07 8/29/07 9/18/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 410
Obs - RR 22.5
0
5
10
15
20
7/17/07 7/19/07 7/21/07 7/23/07 7/25/07 7/27/07 7/29/07 7/31/07 8/2/07 8/4/07 8/6/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 410
Obs - RR 22.5
36
Mean Bias -1.02
Mean absolute error (MAE) 2.19
Root mean squared error (RMSE) 2.70
COUNT 4391
Temperature RR 14.3Temperature RR 14.3
0
5
10
15
20
25
30
5/1/07 5/21/07 6/10/07 6/30/07 7/20/07 8/9/07 8/29/07 9/18/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 942
Obs - RR 14.3
0
5
10
15
20
25
30
7/17/07 7/19/07 7/21/07 7/23/07 7/25/07 7/27/07 7/29/07 7/31/07 8/2/07 8/4/07 8/6/07
Date - Time
Wat
er te
mpe
ratu
re (o
C)
Sim - Node 942
Obs - RR 14.3
37
Lower MF American RiverLower MF American River
Geometry FileGeometry File Flow FilesFlow Files Temperature FilesTemperature Files
38
River Modeling StatusRiver Modeling Status
Successful implementation of several Successful implementation of several temperature components important to temperature components important to small streamssmall streams
Effectively modeled small flowsEffectively modeled small flows Limitations based on available system Limitations based on available system
representationrepresentation Rubicon test case suggests good model Rubicon test case suggests good model
performance as wellperformance as well Model sensitivity testing provides insight Model sensitivity testing provides insight
on boundary conditions, model on boundary conditions, model parameters, system responseparameters, system response
39
Next StepsNext Steps
Assess objective of flow and Assess objective of flow and temperature modeling on individual temperature modeling on individual reachesreaches
Implement modeling method globally Implement modeling method globally throughout project area and formally throughout project area and formally calibrate modelscalibrate models
40
ProgressProgress
Upper Basin River model testingUpper Basin River model testing Upper MF American – Test Reach: draft Upper MF American – Test Reach: draft
calibrationcalibration Upper MF American – Interbay to Upper MF American – Interbay to
Ralston: precalibration Ralston: precalibration Rubicon River: precalibrationRubicon River: precalibration
Lower Basin model implementation: Lower Basin model implementation: startedstarted
41
Estimated ScheduleEstimated Schedule
Upper Basin River model calibration (May-Upper Basin River model calibration (May-June)June) Upper MF American – Test Reach Upper MF American – Test Reach Upper MF American – Interbay to RalstonUpper MF American – Interbay to Ralston Rubicon RiverRubicon River
Ralston calibration (June)Ralston calibration (June) Lower American River model calibration Lower American River model calibration
(July)(July) Overall system calibration refinement Overall system calibration refinement
(July/August)(July/August)
42
Rubicon RiverRubicon River