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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


  1. AQUATOX Model Calibration for the LBR TP TMDL February 26, 2014 TP TMDL TAC Meeting

  2. Primary Model Uses for the TMDL USGS Mass AQUATOX Balance Estimate nutrient- Estimate current TP periphyton relationships loads Tool for TP allocations Tool for TP allocations to meet the periphyton to meet the May-Sept target of 150 mg/m 2 target of 0.07 mg/L

  3. AQUATOX Modeling Consultation Core Group Consultants Ben Cope – EPA Jonathan Clough – Warren Pinnacle Consulting Bill Stewart – EPA Dick Park – Eco Modeling Kate Harris – Boise Robbin Finch – Boise Additional Assistance Alex Etheridge, Dorene Tom Dupuis – HDR MacCoy, Chris Mebane – Michael Kasch – HDR USGS Matt Gregg – Brown and Clifton Bell – Brown and Caldwell Caldwell Jack Harrison - HyQual Lee Van de Bogart –  4 Meetings – Model Selection Caldwell  29 Model Work Meetings

  4. AQUATOX Model Set-Up Diversion Dam 1 R.M. 61.1 1 Model Segment Number Eckert Road R.M. 58.3 2 R.M. = River Mile Veterans Bridge R.M. 50.2 Lander Street WWTP 3 Major Wastewater Glenwood Bridge Treatment Plants R.M. 47.5 4 Head of Eagle Major Tributaries Island, R.M. 45.5 6 R.M. 44.2 5 West Boise 7 WWTP End of Eagle Island, R.M. 40.2 Meridian 8 WWTP Middleton R.M. 31.4 AU 005_06b 15-Mile Nampa 9 WWTP R.M. 24.0 Caldwell WWTP AU 001_06 10 Indian R.M. 15.7 Conway 11 R.M. 10.6 Dixie 12 R.M. 8.8 13 Parma R.M. 3.8

  5. Conceptual Model High Biomass Biomass Accrual Biomass Loss Nutrients Velocity Light Substrate instability Temperature Suspended solids Senescense Grazing Low Biomass Modified from **Figure modified from Kate Harris slide 2013 (City of Boise). Biggs 1996

  6. 112 152 299 235 202 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.

  7. Simulation Accuracy Segment 13 Absolute Date Modeled Measured difference 2/22/2012 0.23 0.32 0.09 Absolute Mean Error (AME) 4/20/2012 0.09 0.10 0.01 AME = Σ| x sim - x obs | 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 n 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

  8. Phosphorus Accuracy Goal  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

  9. Overall phosphorus calibration was within 0.05 mg/L of observed data Seg 7 (Control) Run on 12-27-13 3:00 PM Tot. Sol. P (mg/L) TP (mg/L) 0.60 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) 0.54 AME = 0.04 mg/L 0.48 0.42 0.36 0.30 0.24 0.18 0.12 0.06 1/12/2012 2/11/2012 3/12/2012 4/11/2012 5/11/2012 6/10/2012 7/10/2012 8/9/2012 9/8/2012 10/8/2012 11/7/2012 12/7/2012 1/6/2013 2/5/2013 3/7/2013 4/6/2013

  10. Periphyton Accuracy Periphyton Accuracy Goal: 71 AME 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.

  11. Periphyton biomass correlations (R 2 ): 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 overpredicts 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 overpredicts in range in range September in range in range October overpredicts 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.

  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*

  13. 15-day rolling mean simulation bound with AME error bars = 19.4

  14. 15-day rolling mean simulation bound with AME error bars = 96.2

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

  16. 15-day rolling mean simulation bound with AME error bars = 68.3

  17. 15-day rolling mean simulation bound with AME error bars = 57.5

  18. 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

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

  20. 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

  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

  22. 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

  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

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