Application of the 3D model ELCOM CAEDYM to estimate phosphorus load reduction needs for Lake Wister, OK

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1 Application of the 3D model ELCOM CAEDYM to estimate phosphorus load reduction needs for Lake Wister, OK J. Thad Scott, Erin Grantz, and Steve

2 Lake Wister State of Oklahoma 303d List of Impaired Waterbodies: Chlorophyll a Dissolved Oxygen Total Phosphorus Turbidity 2013 Contracted with Poteau Valley Improvement Authority: 1. Sediment analysis 2. Water quality model a) Modeling Plan b) Model development and simulations

3 Primary Goal simulate the effects of internal and external P loads on in lake: 1. Chlorophyll a 2. Dissolved oxygen 3. Phosphorus (Total, SRP)

4 Modeling Platforms: Hydrodynamics Estuary, Lake and Coastal Ocean Model (ELCOM) (3D) Ecology Computational Aquatic Ecosystem Dynamics Model (CAEDYM)

5 ELCOM CAEDYM is one of the most frequently published models in the world Trolle et al. (2012)

6 ELCOM CAEDYM Development History Centre for Water Research, University of Western Australia since 1998 A generic and versatile water quality model (ELCOM CAEDYM) Lakes and reservoirs Rivers and wetlands Estuaries and coastal ocean Actively used in > 70 countries Turbidity Eutrophication Nutrient and carbon budgets Fisheries, aquaculture and food web studies Public health risk assessments (metals, pathogens) Validated against a wide range of systems Extensive presence in the scientific literature Marti et al. 2015

7 ELCOM CAEDYM Construction All models in Fortran 90 (with F95 extensions) Multi Platform (Windows, MAC, linux) Heavily optimized for fast run times/parallel threads (16 Nodes w/ UA HPC) Input: ASCII Output: NetCDF data format Java visualiser (ARMS/ARMS Lite) Custom visualisation through MATLAB

8 ELCOM CAEDYM Coupling ELCOM Scalar transport Thermodynamics Mixing Boundary Conditions Initial Conditions File Input / Output Data Storage Wetting and Drying CAEDYM Water Quality Surface O 2 & CO 2 Exchange Sediment & Suspended Solids Extinction Coefficient (PAR, UV A, UV B) Density

9 CAEDYM Simulation Capacity Light (NIR, PAR, UVA, UVB) Suspended sediment (SS ) Dissolved oxygen (DO) Organic nutrients (POM, DOM) Inorganic nutrients (NH 4, NO 3, PO 4, SiO 2, DIC) Heterotrophic bacteria (BAC) Phytoplankton (Chl a/c, Internal N/P, toxins) Higher biology (zooplankton, fish, eggs & larvae) Benthic biology (macroalgae, bivalves, macroinvertebrates) Pathogens & indicator organisms (crypto, coliforms, phages) Geochemistry (ph, ions, metals) Sediment diagenesis

10 Model Inputs: Inflow/outflow rates (USGS and USACE) Inflow concentrations for suspended sediment, TP, TN, etc (USGS) Sediment P (Haggard, Scott, and Patterson 2012) Meteorological data (Oklahoma Mesonet) Modeling Periods: 2011, 2013, 2015 calibration years 2012, 2014 validation years Calibration data: Daily lake elevation (USACE) Monthly lake monitoring (PVIA)

11 Two Major Challenges for Lake Wister Model: 2013 Temp/Surface Area Pool elevation highly dynamic Weak thermal stratification

12 Modeling weak thermal stratification

13 Modeling weak thermal stratification

14 Modeling weak thermal stratification Poteau River Temp Poteau River Flow Fourche Maline Temp Fourche Maline Flow

15 Modeling weak thermal stratification

16 Modeling weak thermal stratification

17 Thermal stratification influences D.O.

18 Thermal stratification influences D.O.

19 Thermal stratification influences D.O.

20 D.O. influence internal P load

21 D.O. influence internal P load Sediment P release 2x 5x greater with anoxia

22 Current Calibration Activities

23 Current Calibration Activities

24 Project Next Steps: Complete calibration (any day now ) Conduct validation analysis w/ 2012 and 2014 Simulate systematic load reductions on water quality with calibrated model Watershed P reductions Watershed P+N reductions Internal P load reductions Watershed x Internal reductions Final modeling report in 2016

25 Funding provided by Poteau Valley Improvement Authority Questions? J. Thad

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