皖北某农业基地水库重金属污染评价、健康风险评估与污染源划分

Xuanrong Li, Jie Ma, Song Chen, Xiaoke Shen, Jie Meng, Jiasheng Geng, Yang Yang, Zhibin Yang, Jun Zhang, Haitao Zhang, Shisheng Li
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摘要

不同水体中重金属的相关问题已在全球范围内引起广泛关注。本研究采用单因子污染指数、Nemerow 综合污染指数、健康风险评估(AHP 模型)、多元统计分析(包括相关性分析)和主成分分析等方法,对皖北水库进行了污染评价、健康风险评估和污染源划分。结果表明,平均浓度顺序为锰>锌>砷>镍>铬>铜>钴>镉。铬和锰的变异系数表明其人为活动程度较高,其余重金属则表明其相对稳定。单因子污染指数和 Nemerow 污染指数一致表明,只有 R06 采样点受到轻度污染,其余 13 个采样点均无污染。化学致癌物在人体内的年均健康风险值远高于化学非致癌物,儿童比成人更容易受到重金属的威胁。在饮用水和皮肤接触途径下,铬造成的最大年健康风险超过了美国环保局发布的最大可接受风险水平 1x10 -4。相关性分析表明,锰-钴、钴-镍、砷-镉和铬-镍之间的相关系数呈显著正相关。结合主成分分析,三个主成分可能分别与生活废水排放、汽车尾气排放、农药化肥排放有关。
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Pollution Appraisal, Health Risk Assessment and Source Apportionment of Reservoirs’ Heavy Metals in an Agricultural Base, Northern Anhui Province, China
The related issues with the heavy metals in the different water bodies have been widespread, causing concern around the world. In this study, the single-factor pollution index, Nemerow composite pollution index, health risk assessment (AHP model), multivariate statistical analysis, including correlation analysis, and principal component analysis were conducted to depict the pollution appraisal, the health risk assessment, and the source apportionment of the reservoirs in Northern Anhui Province, China. The results showed that the mean concentration order was as follows: Mn>Zn>As>Ni>Cr> Cu>Co>Cd. The coefficient of variation of Cr and Mn indicated the high degree of anthropogenic activities, and the remaining heavy metals implied that they were relatively stable. The single factor pollution index and Nemerow’s pollution index consistently showed that only sampling site R06 was slightly polluted, and the remaining 13 sampling points were free-pollution. The average annual health risk value of chemical carcinogens in the human body is much higher than that of chemical non-carcinogens, and children are more likely to be threatened by heavy metals than adults. Under the route of drinking water and skin contact, the maximum annual health risk caused by Cr exceeds the maximum acceptable risk level 1x10 -4 issued by USEPA. The correlation analysis suggested that the correlation coefficients between Mn-Co, Co-Ni, As-Cd, and Cr-Ni revealed a significant positive correlation. When combined with the principal component analysis, the three principal components may be related to the discharge of domestic wastewater, automobile exhaust emissions, and pesticides and fertilizers, respectively.
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