Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
复制标题
工矿聚集区重金属污染评价及分区
DOI：
10.3390/ijerph110707286
复制
发表时间：
2014-07-01
影响因子：
--
通讯作者：
Ju, Meiting
中科院分区：
文献类型：
--
作者：
Guan, Yang;Shao, Chaofeng;Ju, Meiting
工业和采矿活动是土壤重金属污染的主要来源。在内梅罗指数法和地积累指数法的基础上，提出了一种改进的内梅罗指数法。以天津市某典型工矿企业聚集区为例，分析了污染物的来源、生态风险和综合风险。利用地理信息系统确定污染水平和生态风险的空间分布。结果如下：（1）研究区土壤中锌的污染程度最高，其他7种重金属的污染程度相对较低。(2)化石燃料的燃烧以及工业和采矿活动的排放是研究区域的主要污染源。(3)研究区土壤重金属污染程度从重度污染到极重度污染，且分布不均。(4)潜在生态风险呈不均匀分布，总体生态风险水平为低-中度。本研究也强调了工矿区分区的重要性、空间分析方法的广泛应用以及在未来研究中对人类健康风险的考虑。
Industrial and mining activities have been recognized as the major sources of soil heavy metal contamination. This study introduced an improved Nemerow index method based on the Nemerow and geo-accumulation index. Taking a typical industrial and mining gathering area in Tianjin (China) as example, this study then analyzed the contamination sources as well as the ecological and integrated risks. The spatial distribution of the contamination level and ecological risk were determined using Geographic Information Systems. The results are as follows: (1) Zinc showed the highest contaminant level in the study area; the contamination levels of the other seven heavy metals assessed were relatively lower. (2) The combustion of fossil fuels and emissions from industrial and mining activities were the main sources of contamination in the study area. (3) The overall contamination level of heavy metals in the study area ranged from heavily contaminated to extremely contaminated and showed an uneven distribution. (4) The potential ecological risk showed an uneven distribution, and the overall ecological risk level ranged from low to moderate. This study also emphasized the importance of partition in industrial and mining areas, the extensive application of spatial analysis methods, and the consideration of human health risks in future studies.