Fuzzy Pattern Recognition Model for Reservoir Eutrophication Evaluation
Reservoir plays a more and more important role in water supply for city and countryside in our country. To ensure the water environmental safety, eutrophication evaluation for reservoir is the essential prerequisite on providing scientific proposals for pollution prevention. A new method for evaluating reservoir eutrophication is explored and is applied in this paper based on Chen Shouyus fuzzy pattern recognition model. A large reservoir for water supply is taken as an object for carrying out the research on eutrophication evaluation. The evaluation takes total phosphorus (TP), total nitrogen (TN), transparency degree (SD), chlorophyll (Chla) and permanganate index (CODMn) total 5 indicators, and the evaluation period is divided in annual average, flood period, non-flood period respectively statistics based on the monitoring data of water quality of the reservoir in the period of 2004-2008. The results show that the proposed model for eutrophication evaluation is reasonable and satisfactory.
LI Jinye DING Tao YANG Kangli XUE Haiqiao ZHANG Hanxin
College Of Quality & Safety Engineering, China Jiliang University, Hangzhou 310018, China
国际会议
2011 International Symposium on Environmental Science and Technology(2011 环境科学与技术国际会议 2011 ISEST)
广东东莞
英文
746-750
2011-06-01（万方平台首次上网日期，不代表论文的发表时间）