摘要
近年来入湖河流和环湖污水排放,使得淀山湖水质严重富营养化,蓝藻水华时有发生。为防治藻类水华现象,以淀山湖为研究对象,综合分析水文、水质及气象观测资料等历史数据,建立了水动力-水质动态数值模型,借助同步实测数据和历史资料数据进行率定验证。验证结果显示,模型较好地模拟了水文水质,模拟结果的总体变化趋势与实测数据相符合。运用该模型对淀山湖污染控制效果进行了预测研究。模拟预测结果表明,削减淀山湖上游来水污染负荷比调水及控制内湖污染的效果更好,单独的调水和削减内湖污染无法使淀山湖水质有质的改善。
In recent years,Dianshan Lake has been severely suffered from eutrophication because of the in-stream pollution loads and sewage discharges around the lake.The algae bloom occurs frequently in high temperature season.In order to take effort to prevent the eutrophication,a hydrodynamic and water quality numerical simulation model for Dianshan Lake has been built up based on its historical hydrology,water quality and meteorological observations.The hydrodynamic and water quality numerical simulation model was calibrated and validated by using the synchronous observations and historical data.The results indicated that the model has well simulated the hydrology and water quality of the lake,and the predicted variation trends were generally close to the observations.Furthermore,this model has been applied to evaluating the effectiveness of pollution control schemes.The simulation revealed that among three measures,reduction of the in-stream pollution loads would be more effective than sole water regulating or cut-down of pollution loads within the lake that could hardly make substantial improvement on water quality of Dianshan Lake.
出处
《上海环境科学》
CAS
2013年第3期103-112,共10页
Shanghai Environmental Sciences
基金
国家“十一五”水专项项目,编号:2009ZX07106-001-005
2009ZX07106-001-006
关键词
淀山湖
水质
数值模拟
污染治理
Dianshan Lake
Water quality
Numerical simulation
Pollution control
