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有色金属工程:2022,(2)
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矿区农地重金属污染风险评价——基于改进的模糊综合评价法
冯 博1, 周 皓1, 徐 阳1, 周俊哲1, 陈 勇1,2,3
(1.武汉科技大学资源与环境工程学院;2.国家环境保护矿冶资源利用与污染控制重点实验室;3.冶金矿产资源高效利用与造块湖北省重点实验室)
Risk assessment of heavy metal pollution in agricultural land of mining area —— Based on improved fuzzy comprehensive evaluation method
Feng Bo1, Zhou Hao1, Xu Yang1, Zhou Junzhe1, Chen Yong1,2,3
(1.School of Resources and Environmental Engineering,Wuhan University of Science and Technology;2.State Environmental Protection Key Laboratory of Mineral Metallurgical Resources Utilization and Pollution Control,Wuhan University of Science and Technology;3.Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources)
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投稿时间:2021-09-17    修订日期:2021-09-24
中文摘要: 矿区是农地重金属污染的高发地区,科学的评价矿区农地重金属污染风险对人类健康和生态环境十分重要。本文针对现行模糊综合评价法在隶属度函数选择和权重确定方面的不足,从重金属浓度与暴露危害之间关系出发,选用logistic函数分布替代常用的梯形分布作为隶属度函数;考虑到农用地土壤污染风险管控标准与土壤pH值有关,引入pH值变动系数,构建了pH值变动系数法与污染倍数法相结合的组合权重确定方法。大冶市典型矿区研究结果表明:矿区内农地重金属元素As、Cd、Cu、Zn平均含量均高于湖北省土壤背景值,分别为背景值的3.28、4.35、3.71、1.86倍,As、Cd、Cu为主要污染物;改进的模糊综合评价结果显示,矿区农地21个采样点中,19个属于轻度污染,2个属于重度污染;该区域农地重金属污染率为100%,应当采取安全利用措施,加强农产品重金属检测。相比于现行模糊综合评价法,改进模糊综合评价在隶属度函数选择和权重确定上进行了改进,在评价分级上更具敏感性,并考虑农地理化性质改变可能带来的污染风险标准变化,为合理的评价农地重金属污染风险提供参考方案。
Abstract:Mining area is a high incidence area of heavy metal pollution in agricultural land. Scientific evaluation of heavy metal pollution risk in mining area is very important for human health and ecological environment. In view of the shortcomings of the current fuzzy comprehensive evaluation method in the selection of membership function and determination of weight, starting from the relationship between heavy metal concentration and exposure hazards, logistic function distribution is selected to replace the commonly used trapezoidal distribution as the membership function; Considering that the soil pollution risk control standard of agricultural land is related to soil pH value, the pH variation coefficient is introduced, and a combined weight determination method combining pH variation coefficient method and pollution multiple method is constructed. The research results of typical mining areas in Daye City show that the average contents of heavy metal elements As, Cd, Cu and Zn in agricultural land in the mining area are higher than the soil background value in Hubei Province, which are 3.28, 4.35, 3.71 and 1.86 times of the background value respectively. As, Cd and Cu are the main pollutants; The improved fuzzy comprehensive evaluation results show that among the 21 sampling points of agricultural land in the mining area, 19 belong to mild pollution and 2 belong to severe pollution; The heavy metal pollution rate of agricultural land in this area is 100%. Safe utilization measures should be taken to strengthen the detection of soil environment and the collaborative detection of agricultural products. Compared with the current fuzzy comprehensive evaluation method, the improved fuzzy comprehensive evaluation improves the selection of membership function and determination of weight, is more sensitive in evaluation classification, considers more possible risks, and provides a reference scheme for reasonable evaluation of heavy metal pollution risk in agricultural land.
文章编号:YSJSGC20210550     中图分类号:X53    文献标志码:
基金项目:国家自然科学基金(41971237);,国家自然科学基金项目(面上项目,重点项目,重大项目)
引用文本:
冯 博,周 皓,徐 阳,周俊哲,陈 勇.矿区农地重金属污染风险评价——基于改进的模糊综合评价法[J].有色金属工程,2022,(2):138-145.

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有色金属工程:2022,(2)
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