AQUATOX Model Calibration for the LBR TP TMDL February 26, 2014 TP - - PowerPoint PPT Presentation

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AQUATOX Model Calibration for the LBR TP TMDL February 26, 2014 TP - - PowerPoint PPT Presentation

AQUATOX Model Calibration for the LBR TP TMDL February 26, 2014 TP TMDL TAC Meeting Primary Model Uses for the TMDL USGS Mass AQUATOX Balance Estimate nutrient- Estimate current TP periphyton relationships loads Tool for TP allocations


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SLIDE 1

AQUATOX Model Calibration for the LBR TP TMDL

February 26, 2014 TP TMDL TAC Meeting

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SLIDE 2

AQUATOX

Estimate nutrient- periphyton relationships Tool for TP allocations to meet the periphyton target of 150 mg/m2 Estimate current TP loads Tool for TP allocations to meet the May-Sept target of 0.07 mg/L

USGS Mass Balance Primary Model Uses for the TMDL

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SLIDE 3

AQUATOX Modeling Consultation

Core Group Ben Cope – EPA Bill Stewart – EPA Kate Harris – Boise Robbin Finch – Boise Tom Dupuis – HDR Michael Kasch – HDR Matt Gregg – Brown and Caldwell Jack Harrison - HyQual Lee Van de Bogart – Caldwell Consultants Jonathan Clough – Warren Pinnacle Consulting Dick Park – Eco Modeling Alex Etheridge, Dorene MacCoy, Chris Mebane – USGS Clifton Bell – Brown and Caldwell

 4 Meetings – Model Selection  29 Model Work Meetings

Additional Assistance

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SLIDE 4

Diversion Dam R.M. 61.1 Model Segment Number Eckert Road R.M. 58.3 R.M. = River Mile Veterans Bridge R.M. 50.2 Glenwood Bridge R.M. 47.5 Head of Eagle Island, R.M. 45.5 R.M. 44.2 End of Eagle Island, R.M. 40.2 Middleton R.M. 31.4 R.M. 24.0 R.M. 15.7 R.M. 10.6 R.M. 8.8 Parma R.M. 3.8

13 12 11 10 9 8 1 2 3 4 5 6 7 1

Major Wastewater Treatment Plants

Major Tributaries

Lander Street WWTP West Boise WWTP Meridian WWTP Nampa WWTP Caldwell WWTP

15-Mile Indian Dixie Conway

AQUATOX Model Set-Up AU 001_06 AU 005_06b

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SLIDE 5

High Biomass Low Biomass Biomass Accrual Biomass Loss

Nutrients Light Temperature Velocity Substrate instability Suspended solids Grazing

Modified from Biggs 1996

Senescense

Conceptual Model

**Figure modified from Kate Harris slide 2013 (City of Boise).

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SLIDE 6

112 152 202 235

Source: 2009. Suplee et al. How green is too green? Public opinion of what constitutes undesirable algae levels in streams. JAWRA 45(1):123 – 140.

299

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SLIDE 7

Simulation Accuracy

Absolute Mean Error (AME)

AME = Σ|xsim - xobs| n

Date Modeled Measured Absolute difference 2/22/2012 0.23 0.32 0.09 4/20/2012 0.09 0.10 0.01 5/10/2012 0.07 0.12 0.05 6/21/2012 0.16 0.24 0.08 7/17/2012 0.20 0.30 0.10 8/20/2012 0.24 0.30 0.06 8/21/2012 0.24 0.29 0.05 8/22/2012 0.24 0.31 0.07 8/23/2012 0.24 0.29 0.05 8/24/2012 0.24 0.29 0.05 10/29/2012 0.38 0.28 0.09 10/30/2012 0.37 0.28 0.09 10/31/2012 0.37 0.27 0.10 11/1/2012 0.37 0.29 0.08 11/29/2012 0.37 0.27 0.10 12/11/2012 0.39 0.34 0.05 1/8/2013 0.40 0.35 0.05 2/20/2013 0.37 0.41 0.04 3/7/2013 0.36 0.34 0.02 Average absolute difference = 0.07 Segment 13

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SLIDE 8

 Phosphorus data ranges from 0.0085 to .6454  25% of the range of the field data is 0.16 mg/L  Overall accuracy goal for phosphorus = 0.16 mg/L AME

Phosphorus Accuracy Goal

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SLIDE 9

Overall phosphorus calibration was within 0.05 mg/L of observed data

Seg 7 (Control) Run on 12-27-13 3:00 PM

4/6/2013 3/7/2013 2/5/2013 1/6/2013 12/7/2012 11/7/2012 10/8/2012 9/8/2012 8/9/2012 7/10/2012 6/10/2012 5/11/2012 4/11/2012 3/12/2012 2/11/2012 1/12/2012 0.60 0.54 0.48 0.42 0.36 0.30 0.24 0.18 0.12 0.06

  • Tot. Sol. P (mg/L)

TP (mg/L) Ortho P at 13206305 BR South Channel at (mg/L) TP at 13206305 BR South Channel at Eagle (mg/L) Ortho P at 13208800 BR above Phyllis Div (mg/L) TP at 13208800 BR above Phyllis Diversio (mg/L)

AME = 0.04 mg/L

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SLIDE 10

AME for each Model Segment Model Version 1 3 8 9 13 Overall AME 2001 Parameters 23.3 133.1 106.7 127.1 62.7 90.6 2013_0925_DDS 28.1 86.8 83.7 105.2 42.7 69.4 2013_1209_RAP 38.2 108.5 74.8 50.2 116.2 77.6 2014_0103_DDS 29.0 123.0 75.8 52.0 117.9 79.5 2014_0203_DDS 19.4 96.2 66.3 68.3 57.5 61.5 Periphyton biomass 15-day rolling mean simulation vs. measured data.

Periphyton Accuracy

Periphyton Accuracy Goal: 71 AME

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SLIDE 11

Periphyton biomass correlations (R2): Segment 1 3 8 9 13 measured

  • 0.0022

+0.1085 +0.1467 +0.2171 +0.1533 historical +0.1569 +0.0204 +0.0096 +0.1650 +0.0682 Mean monthly simulated periphyton biomass, and measured and historical data: Segment 1 3 8 9 13 Overall measured 14 187 132 191 112 636 simulation 22 101 168 157 72 520 % difference 57%

  • 46%

27%

  • 18%
  • 36%
  • 18%

historical 10 53 78 284 158 583 simulation 19 59 101 149 94 422 % Difference 90% 11% 29%

  • 48%
  • 41%
  • 28%

Simulated periphyton ranges relative to measured and historical data: Segment 1 3 8 9 13 January underpredicts underpredicts February

  • verpredicts overpredicts underpredicts

March in range underpredicts in range in range underpredicts April in range in range May in range in range June in range in range July in range in range August in range in range

  • verpredicts

in range in range September in range in range October

  • verpredicts

in range in range in range in range November in range in range in range in range in range December in range in range *Model simulations were within range of measured and historical data during 28 of 37 (76%) month-segment combinations.

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SLIDE 12

Model Workgroup Perceptions

“…Model is really good…” “…Model is as good as it could be…” “…Tables and plots are very strong, matches data very well…” “…Documentation and application are transparent…” “…Model can provide multiple scenarios with excellent potentials for trading…”

*DEQ asking TAC to provide recommendations to LBWC*

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SLIDE 13

15-day rolling mean simulation bound with AME error bars = 19.4

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15-day rolling mean simulation bound with AME error bars = 96.2

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15-day rolling mean simulation bound with AME error bars = 66.3

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15-day rolling mean simulation bound with AME error bars = 68.3

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15-day rolling mean simulation bound with AME error bars = 57.5

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Sensitivity analysis summary

 Optimal temperature has the greatest effect on green algae and secondarily on high-nutrient diatoms  Critical force and light extinction coefficient have the greatest effect on high-nutrient diatoms  Sloughing has the largest effect on low-nutrient diatoms and high-nutrient diatoms  Maximum photosynthetic rate has the greatest effect on green algae and a lesser effect on high-nutrient diatoms

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USGS Mass Balance Model v. AQUATOX Model (Table 9 Summary of Results)

USGS Table 9 Evaluation of Total Phosphorus Mass Balance in the Lower Boise River, Southwestern Idaho Idaho DEQ Final Calibrated AQUATOX Model HDR AQUATOX Model Scenarios

Scenario NC 1 2 3 4 5 6 7 8 8+ 9 10 11 12 12+ Point Sources 0.30 0.07 NC NC 0.30 0.30 0.30 0.30 0.30 0.07 0.07 0.07 0.07 0.07 Nonpoint Sources NC NC 0.10 0.07 0.10 0.07 0.10 0.07 0.07 0.10 0.07 0.10 0.07 0.07 Unmeasured NC NC NC NC 0.15 0.15 0.07 0.07 0.07 0.15 0.15 0.07 0.07 0.07 August NC 1 2 3 4 5 6 7 8 8+ 9 10 11 12 12+ u/s Phyllis Canal 0.22 0.04 0.03 0.22 0.22 0.04 0.04 0.03 0.03 0.02 0.02 0.02 0.02 Segment 7 0.27 0.03 0.02 0.27 0.27 0.03 0.03 0.03 0.03 0.03 0.02 0.02 0.02 0.02 0.02 at Parma 0.30 0.27 0.27 0.17 0.15 0.11 0.10 0.09 0.07 0.11 0.09 0.08 0.07 Segment 13 0.25 0.23 0.23 0.17 0.15 0.13 0.11 0.10 0.08 0.08 0.13 0.11 0.10 0.08 0.07 October NC 1 2 3 4 5 6 7 8 8+ 9 10 11 12 12+ u/s Phyllis Canal 0.44 0.06 0.02 0.44 0.43 0.06 0.06 0.05 0.05 0.02 0.02 0.02 0.02 Segment 7 0.46 0.05 0.02 0.46 0.46 0.05 0.05 0.05 0.05 0.05 0.02 0.02 0.02 0.02 0.02 at Parma 0.31 0.21 0.20 0.20 0.18 0.09 0.07 0.08 0.07 0.08 0.06 0.07 0.05 Segment 13 0.36 0.27 0.27 0.20 0.17 0.11 0.09 0.10 0.08 0.08 0.11 0.09 0.09 0.08 0.07 March NC 1 2 3 4 5 6 7 8 8+ 9 10 11 12 12+ u/s Phyllis Canal 0.53 0.05 0.02 0.53 0.53 0.05 0.05 0.05 0.05 0.02 0.02 0.02 0.02 Segment 7 0.52 0.06 0.03 0.53 0.53 0.06 0.06 0.06 0.06 0.06 0.03 0.03 0.03 0.03 0.02 at Parma 0.35 0.19 0.18 0.27 0.25 0.09 0.08 0.08 0.06 0.08 0.07 0.06 0.05 Segment 13 0.38 0.20 0.19 0.28 0.26 0.10 0.09 0.10 0.08 0.08 0.09 0.07 0.09 0.07 0.07 +Total Sediment Reduction of 37%

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Continued Consultation

Refine target duration, location, frequency Other adjustments

– Parma TP load < 0.07 mg/L, May – Sept – Reduce sediment (37%)? – Critical conditions? Flow tiers?

Model is a tool among multiple lines of evidence Modeling-Techno-Policy group to continue advising on model-TMDL application

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SLIDE 21

LBWC Vote

March 13, DEQ to ask LBWC to vote on current AQUATOX model calibration

– As an acceptable tool for use in developing scenarios and TP allocations in the TMDL

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Model Calibration Summary

Accuracy goals achieved (AME) Additional measures of model fit identified Broad support from Model Workgroup Consistent with USGS Mass Balance Tool to help develop scenarios and allocations among multiple lines of evidence DEQ asking TAC to provide recommendations to LBWC DEQ asking LBWC to vote on model calibration

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SLIDE 23

Contact Information

Troy Smith Idaho Department of Environmental Quality Boise Regional Office 1445 N. Orchard St. Boise, ID 83706 208-373-0434 Troy.Smith@deq.idaho.gov