基于模糊数学的石臼湖水质监测与评价

Water Quality Monitoring and Evaluation of Shijiu Lake Based on Fuzzy Mathematics

为全面了解石臼湖水质情况,在湖区监测了石臼湖湖心、溧水湖心、高淳湖心、博望湖心、当涂湖心5个断面。根据水质实测数据,选择氨氮(NH_(3)-N)、总磷(TP)、总氮(TN)、五日生化需氧量(BOD_(5))、高锰酸盐指数(COD_(Mn))5个主要水质因子,运用模糊评价法对石臼湖水质进行评价。监测数据显示,TN、TP是石臼湖水质主要超标因子。模糊数学评价法得出石臼湖水质整体属于Ⅲ类水,评价结果优于单因子评价法。

In order to fully evaulate the water quality of Shijiu Lake,five sections(Shijiu Lake Center,Lishui Lake Center,Gaochun Lake Center,Bowang Lake Center and Dangtu Lake Center)were monitored in the lake district.The water quality and potential sources of pollution were analyzed to assist for improving the water quality of Shijiu Lake.According to the monitored water quality data,five main water quality factors including ammonia nitrogen(NH_(3)-N),total phosphorus(TP),total nitrogen(TN),five-day biochemical oxygen demand(BOD_(5)),and permanganate index(COD_(Mn))were selected to evaluate the water quality of Shijiu Lake by fuzzy evaluation method.The monitoring data showed that TN and TP were the main factors exceeding the standard of water quality in Shijiu Lake.The water quality of Shijiu Lake as a whole belonged to Class III water according to the fuzzy mathematical evaluation method,reaching the assessment goal.The water quality category obtained by fuzzy mathematics evaluation method was better than that by single factor evaluation method.