基于多模式逆向水质模型的程海水位调控-水质响应预测研究

以云南省程海为例,基于CE-QUAL-W2计算平台开发了水动力-水质模型.由于程海现有的数据不足以支撑开发可靠的流域水文与污染物负荷模型,为弥补由此引起的水质模型边界条件缺失的限制,本研究提出了基于逆向模拟与遗传算法的多模式负荷-参数识别方法来实现对水质模型的校正和鲁棒校验.应用校验后的模型对程海不同水位调控情景的水质...

Multiple Pattern Inverse Water Quality Modeling Approach for Predicting the Water Quality Consequence of Lake Chenghai Water Elevation Control

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.