Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/3320
Title: Water quality modeling of Allatoona and West Point Reservoirs using CE-QUAL-W2
Authors: United States. Army. Corps of Engineers. Mobile District.
Georgia. Dept. of Environmental Resources.
Cole, Thomas M.
Hamlin-Tillman, Dorothy E.
Keywords: Dissolved oxygen
Nutrients
Nutrient loading
Water quality models
Hydrodynamic
Two-dimensional
Mathematical models
Numerical models
Georgia
Publisher: Environmental Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC/EL SR ; 01-3.
Description: Special Report
Abstract: The Georgia Environmental Protection Division (GEPD) is concerned about the effects of increased nutrient loadings into Allatoona and West Point Lakes from point and nonpoint sources due to projected population growth in the region. Water demand and nutrient loading will most likely increase in the future. The ability to predict the effects of increased nutrient loading in West Point and Allatoona would allow GEDP to set waste load allocations and better manage the reservoirs for water quality in the future. To meet this goal, the GEPD requested the assistance of the Water Quality and Contaminant Modeling Branch at the U.S. Army Engineer Research and Development Center, Waterways Experiment Station, to develop a water quality model for Allatoona and West Point Lakes. CE-QUAL-W2, a two-dimensional, longitudinal and vertical hydrodynamic and water quality model, was chosen for the study. The objective of this study was to provide a calibrated water quality model for Allatoona and West Point Lakes capable of predicting future water quality conditions resulting from changes in water allocations, point/nonpoint nutrient loadings, and reservoir operations. CE-QUAL-W2 was calibrated for temperature and algal/nutrient/dissolved oxygen interactions for Allatoona and West Point Reservoirs. The model quite accurately captures the physics of both reservoirs. Any alteration in the physics should be predicted with a high degree of accuracy. NOTE: This file is large. Allow your browser several minutes to download the file
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/3320
Appears in Collections:Special Report

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