2种改进的TOPSIS模型在地下水水质评价中的应用研究

选取总硬度、总锰、总铁、硝酸根、亚硝酸根、硫酸根及氟化物作为水质影响因子,基于TOPSIS模型,采用层次分析法和熵权法相结合的方法确定各水质影响因子的权重,并引入"垂面距离"及Kullback-Leibler距离替代传统的欧式距离,对吉林市平原区的8组水质资料进行评价,并将评价结果与Nemerow法及模糊数学法的评价结果进行对比分析。结果表明:基于"垂面距离"的TOPSIS方法与其他方法的评价结果较为一致,说明此方法用于地下水水质评价合理可行;基于Kullback-Leibler距离的TOPSIS方法评价的水质等级普遍偏低,说明此方法具有一定的适用范围,还需要进一步的探索研究。

Application of Two Improved TOPSIS Models for Groundwater Quality Evaluation

In this study,the total hardness,total manganese,total iron,nitrate,nitrite,sulfate and fluoride are selected as the quali-ty factors,based on TOPSIS Model,the AHP and entropy methods are combined to determine the weight of each water quality im-pacting factor.Moreover,the “Vertical distance”and Kullback-Leibler distance are introduced to replace the traditional Euclidean distance to evaluate 8 groups of groundwater samples in plain area of Jilin City.The evaluation result is compared with the results by Nemerow and fuzzy mathematics methods.The results show that the evaluation results by TOPSIS Model based on “vertical dis-tance”is consistent with the results by other methods of evaluation,which indicates that this method is a reasonable and feasible method to evaluate groundwater quality;while the water level results evaluated by TOPSIS Model based on Kullback-Leibler distance is generally low,which indicates that this method has some certain application scope,further exploration and research are needed.