基于信息扩散理论的广东大宝山地区土壤重金属污染评价

Evaluation of heavy metal pollution of soil in the Dabaoshan mining area based on the information diffusion theory

为探讨信息扩散理论在土壤重金属污染评价中的可行性,通过广东大宝山地区24个土壤样品重金属数据,采用信息扩散理论结合地累积指数,评价了该地区土壤Pb、Zn、Cu和Cd的污染现状及发生概率。结果表明:大宝山地区土壤受Cd污染最为严重,其次为Cu污染,Pb和Zn污染较轻。通过信息扩散理论计算的地累积指数发生概率表明:大宝山地区土壤受Cd污染发生轻度-中等污染以上的概率为71.65%,中等污染以上的概率为56.76%,中等-强污染以上的概率为39.76%,强污染以上的概率为25.38%,强-极严重污染以上的概率为15.05%,极严重污染以上的概率为0.02%;Cu污染发生轻度-中等污染以上的概率为55.61%,中等污染以上的概率为38.65%,中等-强污染以上的概率为25.09%,强污染以上的概率为15.88%,强-极严重污染以上的概率为9.27%。综上,信息扩散理论可用于土壤重金属污染评价,评价结果可为土壤重金属污染的管理和治理提供参考。

To explore the feasibility of the information diffusion theory in heavy metal pollution evaluations of soil, 24 soil samples from the vicinity of the Dabaoshan mine were analyzed. Using a combination of the information diffusion theory and index of geo-accumulation, we evaluated the heavy metal pollution status and discussed probabilities of pollution risks at different levels. The results indicated that cadmium(Cd)was the most serious soil pollutant, followed by copper(Cu), and lead(Pb)and zinc(Zn)were the lowest in the study area. Cd pollution probabilities calculated using the information diffusion theory showed 71.65% of the soils had light-medium, 56.76% had medium,39.76% had medium-serious, 25.38% had serious, 15.05% had serious-extremely serious, and 0.02% had extremely serious level pollution.Cu pollution probabilities showed 55.61% of soils had light-medium, 38.65% had medium, 25.09% had medium-serious, 15.88% had serious, and 9.27% had serious-extremely serious level pollution. The information diffusion theory could be used to evaluate soil heavy metal pollution. The results could be referenced by management and government of soil heavy metal pollution.