基于灰色模糊聚类分析的长江水质的综合评价

运用灰色模糊聚类分析的方法,对长江沿线17个水域的水质进行综合评价。根据溶解氧（DO）、高锰酸盐指数（CODMn）、氨氮（NH3-N）各项特征因子的数据,计算灰色关联系数和关联度,构造相似矩阵。根据模糊动态聚类分析方法,确定不同的λ阈值,对长江沿线17个水域的水质进行分类。结果表明,灰色模糊聚类分析法对于水质的评价是可行的。以灰色模糊聚类分析法对水质进行评价是不需要建立评价的分级标准,可以根据评价对象的实际情况进行最优聚类分析。

SYNTHETICAL EVALUATION ON THE WATER QUALITY OF YANGTZE RIVER BASED ON GRAY FUZZY CLUSTERING ANALYSIS

The gray fuzzy clustering analysis is used to classify the water quality of seventeen regions in the Yangtze River. According to the monitoring data of DO,CODMn and NH3-N,gray correlation coefficient and correlation degree are computed,and similar matrix is set up. Using fuzzy dynamic cluster analysis methods,the differentthreshold is identified and the water quality of 17 spots along the Yangtze River is classified. The results show that the gray fuzzy clustering analysis on water quality evaluation is an effective method. The gray fuzzy clustering analytic method may carry on the most superior cluster analysis to evaluate the water quality without the necessary to establish the appraisal the grading standards.