城市浅水湖QQD耦合模型的构建及其应用研究

Study on the Establishment and Application of QQD Coupling Model for Urban Shallow Water Lake

为了更有效地治理城市浅水湖的水环境污染问题,通过构建"水量-水质-水动力学"耦合模型(Water Quantity-Water Quality-Water Dynamic Coupling Model,QQD耦合模型),并以位于四川大学江安校区内的明远湖作为算例。根据2016年4月上旬~9月下旬对钙镁离子、NH3-N、TP和DO共4个水质指标的跟踪监测数据,利用QQD耦合模型模拟得到湖内水体流场以及各种水质污染物在流场中的分布范围,进而分析并明确了污染物的主要来源和影响程度,同时还提出综合整治湖内水污染治理对策与措施的建议。此外,还利用SPSS软件将实测的水质污染数据拟合出多元线性回归方程进行了验证。结果表明,采用文中所建立的QQD耦合模型可以适用于类似的城市浅水湖水质污染情况模拟计算。

In order to more effectively control the pollution of urban shallow lakes,this study selected Mingyuan Lake as the research area and constructed a Water Quantity-Water Quality-Water Dynamic Coupling Model（ Hereinafter referred to as QQD） to simulate hydrodynamic and water quality of urban shallow lake system. Based on the results of field measured data,including the mass concentration of Ca2 ＋,Ma2 ＋,NH3-N,DO from early April to late September in 2016,obtained the water flow field of the lake and the distribution of the pollutants in it,which helps to identify the main pollution source and impact degree. Therefore,put forward the renovating measures for the problem. The constructed model was validated by SPSS,the calculated results fit well with the experimental results,indicating that the model can be applied to water pollution simulation of similar urban shallow lakes.