Lake Roosevelt Water Quality and Hydrodynamic Model Calibration with Fish Bioenergetics

摘要

An understanding of the effects of hydrodynamics and reservoir operations on the Franklin D. Roosevelt Lake (Lake Roosevelt) aquatic food web allows for better management of the reservoir. A CE-QUAL-W2, v.3.5, hydrodynamic and water quality model (Cole and Wells, 20061) is being applied to the reservoir. The models zooplankton algorithms are expanded and a fish bioenergetics model is incorporated. The Lake Roosevelt model extent is shown in Figure 1. The model includes the lacustrine arms up to full pool on the Sanpoil, Kettle, and Colville Rivers; the Spokane River arm up to Little Falls Dam; and the Columbia River from Grand Coulee Dam to the U.S.-Canadian border.The previous companion report, “Boundary Conditions and Set-up” (McKillip, Annear, and Wells, 2006), covered• A limnological overview • Hydrodynamic boundary condition data and model inputs • Grand Coulee Dam structures (powerhouse and spillway characteristics) • Water temperature boundary condition data and model inputs • Meteorological data and model inputs • Water quality boundary condition data • Model bathymetry data and model grid development • Topographic shading • Primary and secondary production data • Kokanee hatchery release dataThis report discusses the model calibration and issues related to the calibration. This report discusses the topics of:1) Hydrodynamic calibration: Hydrodynamic calibration focuses on matching the water surface elevation at Grand Coulee Dam.2) Temperature calibration: Temperature calibration focuses on matching temperature profiles throughout the reservoir and continuous data below Grand Coulee Dam. Many of the calibration issues centered on properly characterizing the localized wind and powerhouse withdrawals.3) Abiotic water quality calibration: Abiotic water quality calibration focused on matching water quality profile data in the reservoir. The selection of proper rate kinetics and understanding the impact of hydrodynamics on water quality state variables was critical to proper calibration.4) Bioenergetic (algae, zooplankton, kokanee) modeling approach and calibration5) Sensitivity analyses