水质修复条件下基于不确定性方法的景观水体水质模拟研究

项目名称： 水质修复条件下基于不确定性方法的景观水体水质模拟研究

项目编号： No.51308385

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 建筑科学

项目作者： 彭森

作者单位： 天津大学

项目金额： 28万元

中文摘要： 当前我国城市景观水体水质恶化现象严重，水质保持与修复成为景观水体建设与运行中的重要议题。以往研究中，通用型水质模型对工程修复条件下的景观水体水质模拟适用性不足，且模型结构复杂、参数识别难度大、不确定性分析能力薄弱。由于缺少有效方法进行水质模拟，导致难于定量描述各种工程措施对水质保持与改善的综合效果。因此，本课题通过研究多种水质保持与修复工程措施的污染物消减作用机理，在通用型水质模型中纳入相应的水质模拟功能，构建景观水体水质模型；为提高计算效能，在并行计算环境下基于不确定性方法设计模型参数识别算法，并对算法进行优化；选定实际景观水体建立水质模型，实现参数识别计算与水质不确定性模拟，掌握在工程条件下的景观水体水质变化规律。最终形成一套适用于景观水体水质修复的水质模拟方法，以指导水质综合分析与水质修复方案规划设计，为城市水环境生态保持的可持续发展提供技术支持，因此具有重要的学术意义和实用价值。

中文关键词： 景观水体；水质模型；水质修复；不确定性；参数识别

英文摘要： Water quality preservation and restoration is important for the construction and operation of urban landscape water, since in recent years, water quality deterioration is very serious in cities of China. In the scenario of water quality restoration engineering for urban landscape water, the simulation capability of general water quality models is limited because of the complexity of model structure, the difficulty of model parameter identification and the absence of uncertainty analysis. Due to the lack of effective methods for water quality modeling, it is difficult to quantitatively describe the comprehensive effects of different engineering measures for water quality improvement. Therefore, in this research the pollutant abatement mechanism will be studied for water quality preservation and restoration engineering. Water quality model of landscape water will be built by introducing specialized simulation function into a general water quality model. A parameter identification algorithm based on uncertainty method is designed and optimized in parallel computing environment to improve the calculating effectiveness. Water quality models will be built based on selected practical landscape water bodies. The characteristic of water quality variation is revealed and studied by the realization of parameter identificat

英文关键词： landscape water；water qality model；water quality restoration；uncertainty；parameter identification