改进的模糊综合评价法在某煤矿区水质评价中的应用

Application of Improved Fuzzy Comprehensive Evaluation Method in Water Quality Assessment in A Coal Mine Area

基于熵权法和相对标准偏差法组合评价因子权重,综合最大隶属度原则与加权平均原则,建立改进的模糊综合评价法,应用该方法评价某煤矿区浅层地下水水质,并与其他评价方法作比较。结果表明:在研究区33个浅层地下水监测点中,属于Ⅰ类、Ⅱ类、Ⅲ类水的监测点分别有4个、16个、13个,Ⅱ类水最多,占比48.5%,无Ⅳ类、Ⅴ类水,水质状况总体较好;对比发现,工业园水质相对较差,煤矿区及工业广场次之,农田和居民区水质相对较好;改进后的模糊综合评价法综合考虑了评价因子间的内在联系,既减小了主观因素对评价过程的影响,也规避了单一评判原则对水质等级判定带来的局限性,评价结果更符合实际情况。

Based on the combined evaluation factor weights of entropy weight method and relative standard deviation method,an improved fuzzy comprehensive evaluation method was established by integrating the principles of maximum membership and weighted average.This method was applied to evaluate the quality of shallow groundwater in a coal mine area,and compared with other evaluation methods.The results showed that among 33 shallow groundwater monitoring sites in the study area,there were 4,16 and 13 sites belonging to Class Ⅰ,Class Ⅱ and Class Ⅲ water respectively.The most belonged to Class Ⅱ water,accounting for 48.5%.There was no Class Ⅳ or Ⅴ water.The water quality was generally good.Through comparison,the water quality was relatively poor in industrial parks,followed by coal mine areas and industrial squares,and was relatively good in farmland and residential area.The improved fuzzy comprehensive evaluation method comprehensively considered the internal relationship between evaluation factors,which not only reduced the influence of subjective factors on the evaluation process,but also avoided the limitations of single evaluation principle on the determination of water quality grade,and the evaluation results were more in line with the actual situation.