Assessing the Eutrophication of Shengzhong Reservoir Based on Grey Clustering Method

摘要

Reservoir water environment is a grey system.The grey clustering method is applied to assessing the reservoir water envi-ronment to establish a relatively complete model suitable for the reservoir eutrophication evaluation and appropriately evaluate the quality of reservoir water, providing evidence for reservoir man-agement.According to Chiua's lakes and reservoir eutrophication criteria and the characteristics of China's entrophication, as well as certain evaluation indices, the degree of eutrophication is classified into six categories with the utilization of grey classified whitening weight function to represent the boundaries of classification, to determine the clustering weight and clustering coefficient of each index in grey classifications, and the classification of each cluster-lag object.The comprehensive evaluation of reservoir eutrophica-tion is established on such a foundation, with Sichuan Shengzhong Reservoir as the survey object and the analysis of the data attained by several typical monitoring points there in 2006.It is found that eutrophication of Tiebian Power Generation Station, Guoyu-anchang and Dashiqiao Bridge is the heaviest, Tielusi and Qing-gangya the second, and Lijiaba the least.The eutrophication of this reservoir is closely relevant to the irrational exploitation in its surrounding areas, especially to the aggravation of the non-point source pollution and the increase of net-culture fishing.Therefore, it is feasible to use grey clustering in environment quality evalu-ation, and the point lies in the correct division of grey whitening function