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According to the objective fact that eutrophication degree of water body belongs to fuzzy concept, an eutrophication evaluation model is explored and is applied in this paper based on fuzzy pattern recognition model proposed by Chen Shouyu. The evaluation model considers total phosphorus (TP), total nitrogen (TN), transparency degree (SD), chlorophyll (Chla) and permanganate index (CODMn) total 5 indicators. A large reservoir for water supply is taken as an object for carrying out the research on eutrophication evaluation based on the monitoring data in the period of 20052008. The eutrophication evaluation results show eigenvalues of annual average are respectively 2.8290,2.7177,2.8449 and 2.5354, eigenvalues of flood period are 2.9138 , 2.7314 , 2.9717 , 2.4447 , and eigenvalues of non-flood period are 2.7483,2.7125,2.7138,2.6488. The above results show that the reservoir is under transitional stage from mesotrophic and light eutrophication, and the proposed model for eutrophication evaluation is reasonable and satisfactory. Keywords-eutrophication; pattern recognition; evaluation; model

Eutrophication Evaluation Model and Application for Reservoir Based on Fuzzy Pattern Theory