基于改进灰色聚类法的矿区土壤重金属污染评价

EVALUATION ON HEAVY METAL POLLUTION IN SOIL OF MINING AREA BASED ON IMPROVED GREY CLUSTERING METHOD

在传统灰色聚类法的基础上,以白化函数为突破口进行模型优化改进,并将其应用于马鞍山重点矿区土壤重金属污染评价中。结果表明:通过e型指数函数优化的白化函数评价范围更广,不遗漏任何重要信息;纳入生物毒性因子的双因子权重赋值法可挖掘出潜在的污染因子,使其评价应用更为合理;改进灰色聚类法较传统灰聚类法等更能综合地反映多种重金属联合作用下对土壤环境质量的影响,使其评价结果更为客观。

Based on the traditional grey clustering method,the model was improved by the whitenization function as the breakthrough point,and applied to the evaluation of heavy metal pollution in the key mining area at Ma＇anshan. The results showed that the whitenization function optimized by the e-type exponential function had a wider evaluation range,and it didn＇t miss any important information. The bi-factor weight assignment method which incorporated biotoxicity factor could excavat potential pollution factors and made the evaluation application more reasonable. The improved grey clustering method was more comprehensive than the traditional grey clustering method and other methods to feedback the influence of multiple heavy metals on the soil environment quality. Therefore,the evaluation result was more objective.