Lake Tahoe TMDL Science Objectives l What are sources and relative contributions of “contaminants” causing clarity decline? l How much of a reduction is.

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Presentation transcript:

Lake Tahoe TMDL Science Objectives l What are sources and relative contributions of “contaminants” causing clarity decline? l How much of a reduction is needed to achieve the desired conditions?

Lake Clarity Model & What Makes Us Think It’s Right OR

The Clarity Model History 1978 – DYRESM 1996 – DLM-WQ 1997 – INAUGURAL TAHOE SUMMIT EPA WATERSHED GRANT 2000 – FIRST PARTICLE SIZE DATA 2002 – TMDL SCIENCE PROGRAM FUNDED MODELING/SCIENCE 2004 – CLARITY MODEL PEER REVIEW 2006 – REFINEMENT/CALIBRATION/VALIDATION 2007 – COMMENCING USE OF “FINAL” MODEL

CLARITY MODEL A PROCESS-BASED NUMERICAL MODEL SEVERAL MODELS COMBINED INTO ONE: - HYDRODYNAMIC/THERMODYNAMIC MODEL - WATER QUALITY (ECOLOGICAL) MODEL - PARTICLE FATE MODEL - OPTICAL MODEL IN ADDITION, IT HAS “INPUTS” FROM OTHER MODELS - WATERSHED MODEL - METEOROLOGY MODEL - ATMOSPHERIC MODEL

Lake Tahoe Clarity Model DLM Hydrodynamic/Thermodynamic Model Tributaries Climate, Precipitation Land Use Atmospheric Deposition Algal Growth Lake N, P Inorganic Particles Loss Secchi Depth Light Scattering & Absorption Groundwater Tributaries Climate, Precipitation Land Use Atmospheric Deposition Particle Fate Model Optical Model Ecological Model

INPUT VARIABLES CLIMATE OUTFLOW INFLOW – Q, N, P, PSD ATMOSPHERIC – N, P, PSD GROUNDWATER – Q, N, P BATHYMETRY

Tetra Tech Watershed Model

LIGHT NUTRIENT CYCLING STRATIFICATION & MIXING ALGAL GROWTH PARTICLE DYNAMICS ABSORPTION(i) SCATTERING (i) SECCHI DEPTH Clarity Model

Base Case Do Nothing More in an Unchanging World

Test Case 1 – 55% Load Reduction All Sources, All loads, 20 year Phase-in

FINES, N, P N, P ONLY Combined Results All Sources, All loads, 20 year Phase-in

Test Case 2 – 75% Load Reduction Urban Sources, All loads, 20 year Phase-in

Combined Results Urban Sources, All loads, 20 year Phase-in

Sensitivity Analysis Loads Particle load has largest impact on secchi depth 0.5X = half TMDL estimate 2X = double TMDL estimate

Sensitivity Analysis Model Parameters Coagulation rate Light scattering (b * ) Algal growth rate Secchi Depth

Sensitivity Analysis Model Parameters coagulation rate - light scattering – algal growth rate L-L-H Coagulation rate Light scattering Algal growth rate L = 0.75X 0 = X H = 1.25X COV = MEAN/SD = 11%

WHAT MAKES US THINK THE MODEL IS CORRECT?

3 m in 2 years LOOK AT THE RECORD

STILL NOT CONVINCED? Particles per ml Secchi Depth (m)

There are a multitude of ways to achieve a specific clarity target

 Process-based model – allows examination of the entire range of management, climate, disaster, growth etc. scenarios  Built on an established and peer reviewed framework  Particles dominate midlake clarity (nutrients secondary) – confirmed by data  Urban areas dominant source of particles – confirmed by data  Model results insensitive to uncertainties  Model predicted level of pollutant load reduction to achieve clarity target is confirmed by data  There are countless ways in which the desired load reductions can be achieved. The model can test them. The stakeholders must decide. CONCLUSIONS

THANK YOU!

July 2006 Pathways Forum Received “Preliminary” Model Results Today there are different results – based on “Final” Model Results