Related Experiment Video
Updated: May 25, 2026

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
Published on: November 13, 2017
[Multiple pattern inverse water quality modeling approach for predicting the water quality consequence of Lake
Rui Zou1, Yun-Xian Dong, Xiao-Pin Yan
1Tetra Technologies Incorporated Company, 10306 Eaton Place, Ste 340, Fairfax, VA 22030, USA. rz5q@yahoo.com
Abstract:
A water quality model was developed through incorporating the water surface elevation and water quality data of Lake Chenghai into the CE-QUAL-W2 computational platform. The model integrates the water surface elevation and water quality into a holistic dynamic system based on the data of Lake Chenghai, and was calibrated against observed data using a multiple pattern inverse water quality modeling technology, which was driven by a robust genetic algorithm (GA). After the model was calibrated, it was used to produce robust predictions of the lake water quality in response to various water elevation controlled scenarios. The model established a basis for quantifying the water quality responses under uncertainty, and is valuable for supporting effective and reliable management decision making. The results of this research suggest that various water elevation control scenarios only result in insignificant water quality improvement in terms of TN, TP, and COD concentrations, therefore, it does not recommend to consider water elevation control to be the major water quality management option for Lake Chenghai.
Related Concept Videos
Design Example: Creating a Hydraulic Model of a Dam Spillway
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Net Change Theorem
Indefinite Integrals
Typical Model Studies
Modeling and Similitude
