基于熵权模糊模型的土壤重金属生态风险评价

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	基于熵权模糊模型的土壤重金属生态风险评价
	刘鑫; 葛淼; 原琳娜; 杨阳
刊名	安全与环境学报
	2016
卷号	16 期号:5 页码:384-389
关键词	环境学模糊数学熵权毒性系数多元统计重金属煤化工业区
其他题名	Ecological risk assessment for heavy metal contaminants in the soil based on the synthetic fuzzy evaluation model
中文摘要	土壤重金属污染评价对于环境保护策略的制定和民众健康的防护具有重要意义。应用熵权、毒性系数和模糊数学构建了熵权模糊法评价模型,并以陕西省彬长煤化工业区为例,对其土壤重金属富集特征和潜在生态风险进行了评估。结果表明,土壤Cd、Co和Pb质量比较高,空间差异明显,建矿时间较长的工业园区土壤重金属潜在生态风险水平较高。熵权评价显示Cd为主要污染因子(权重为0.566)。模糊综合评价显示,研究区55.7%的样点为轻度污染,24.3%的样点为中度污染,无重污染和严重污染隶属样点。研究区污染程度有由轻度污染向中度污染过度的趋势。与传统污染评价指数相比,熵权法和模糊数学模型的联合应用有助于提高风险评价的准确性。
英文摘要	This paper is aimed at making an exploration of the characteristic features of the heavy metal enrichment contaminants in the coal-based chemical industry zones by using the entropy weight fuzzy method, in hoping to identify and determine the potentially ecological risk and the scientific nature and rationality of the entropy fuzzy model in this way. For the said study purpose, we have collected a total sum of 70 kinds of surface soils (0-20 cm) in the area under investigation and tested and worked out the contaminant rates of Cr, Mn, Ni, Zn, V in the soil through wet digestion via ICP-OES and Pb, Co, Cu, Cd in the soil with wet digestion via the ICP-MS, respectively. And, then, we have made an analysis of the content concentration rates by means of entropy weight, the toxicity coefficient and fuzzy mathematics. The results of the above evaluation indicate that the content concentration rate of Cd serves as the main contamination factor (whose weight accounts for 0.57). Further comprehensive fuzzy evaluation results we have gained suggest that 55.7% of the sampling points in the paper belong to the light-degree pollution, with 24.3% being in the moderate pollution, but with no samples being of heavy or serious contaminants. What is more, the heavy metal pollution in the area under investigation is mainly related to the local mining activities. For example, the content rates of Cd, Co and Pb in the soil tend to be higher in the area, which proves to be highly different in the atmosphere. Particularly speaking, the potential ecological risk of heavy metals in the industry park with longer history of construction time turns out to be relatively high, say, to Class Ⅱ, Ⅲ, and Ⅳ of the sampling points of the soils around the park with a longer history of construction turn out also to be high, which suggests that the authorities of the local government ought to pay more attention or enough attention to such areas. In addition, it also suggests that the entropy weight fuzzy evaluation method is also available for the risk assessments by taking the area under investigation as a whole or based on the independent sampling units for the proper membership grades, for the method enjoys its particular advantages over other methods in the assessment of heavy metal risks in the regional soil so as to make the risk assessment reliability more scientific and reasonable by combining this method with the comprehensive analysis.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/36507]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	刘鑫,葛淼,原琳娜,等. 基于熵权模糊模型的土壤重金属生态风险评价[J]. 安全与环境学报,2016,16(5):384-389.
APA	刘鑫,葛淼,原琳娜,&杨阳.(2016).基于熵权模糊模型的土壤重金属生态风险评价.安全与环境学报,16(5),384-389.
MLA	刘鑫,et al."基于熵权模糊模型的土壤重金属生态风险评价".安全与环境学报 16.5(2016):384-389.