基于模糊模式识别理论的富营养化评价模型及应用

Eutrophication Evaluation Model and Its Application Based on the Fuzzy Pattern Theory

依据水体富营养化及其程度属于模糊概念这一客观实际,基于模糊模式识别理论,以叶绿素a、总磷、总氮、透明度和高锰酸盐指数作为评价指标,尝试建立富营养化评价的模糊模式识别模型。并以南方某大型水库为例,按年、汛期和非汛期3个阶段开展了富营养化评价研究。评价结果表明2005-2008年年均富营养化特征值分别为2.829 0、2.717 7、2.844 9、2.535 4,汛期分别为2.913 8、2.731 4、2.971 7、2.444 7,非汛期分别为2.748 3、2.712 5、2.713 8、2.648 8。可见该水库正处于由中营养向富营养过渡阶段,实例同时也表明该方法用于水体富营养化评价是合理、可行的。

According to the objective fact that eutrophication degree of water body belongs to a fuzzy concept,an eutrophication evaluation model is explored and applied in this paper based on the 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） as 5 indicators.A large reservoir for water supply is taken as an object for carrying out research on eutrophication evaluation based on the monitoring data between 2005 and 2008.The eutrophication evaluation results show eigenvalues of annual average are respectively 2.829 0,2.717 7,2.844 9 and 2.535 4,eigenvalues in the flood period are 2.913 8,2.731 4,2.971 7 and（2.444 7,）and eigenvalues of the non-flood period are 2.748 3,2.712 5,2.713 8 and 2.648 8.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.