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评估安徽采煤区稻田土壤中的重金属污染。

Assessing heavy metal pollution in paddy soil from coal mining area, Anhui, China.

机构信息

School of Resources and Environment, Anhui Agricultural University, Hefei, 230036, Anhui, China.

Agricultural Engineering Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230031, Anhui, China.

出版信息

Environ Monit Assess. 2019 Jul 29;191(8):518. doi: 10.1007/s10661-019-7659-x.

Abstract

Heavy metal pollution in agricultural soil has negative impact on crop quality and eventually on human health. A total of 24 top soil samples were collected from paddy field near the Zhangji Coal Mine in Huainan City, Anhui Province. Seven heavy metals (Cu, Zn, As, Cr, Cd, Pb, and Ni) were selected to evaluate the pollution status through total content and chemical speciation, geo-accumulation index (I), and risk assessment code (RAC) and investigate leaching behavior of heavy metals under simulated rainfall. The results of present study indicated that mining activities were responsible for elevated Cu and Cd in surrounding paddy soil. Based on the results of chemical speciation, most heavy metals were associated with the residual fraction, and the environmental risk of heavy metals in soil was sequenced as Pb > Cd > Ni > As > Zn > Cu > Cr. It revealed that Pb in soil would pose a higher environmental risk due to its higher reducible fraction, then followed by Cd, Ni, As, and Zn, which would pose a medium risk. The result of simulated rainfall leaching analysis showed that heavy metals could be categorized into two groups: concentrations of Cu, Ni, Cd, Zn, and Cr in the leachates displayed a continuous decrease tendency with the increase in accumulative simulated rain volume; whereas leachable tendency of As and Pb was enhanced with increasing leaching time and rain volume. Generally, the leaching percentage of heavy metals followed the sequence of As > Zn > Ni > Cd > Cr > Cu > Pb. More attention should be paid to the higher environmental risk of Pb and higher leaching percentage of As with regard to ecosystem safety and human health.

摘要

农田土壤重金属污染会对作物质量产生负面影响,最终会影响人类健康。本研究共采集了安徽省淮南市张集煤矿附近稻田表层土壤 24 个样本。通过总含量和化学形态分析、地积累指数(I)和风险评估代码(RAC),选择了 7 种重金属(Cu、Zn、As、Cr、Cd、Pb 和 Ni)来评估污染状况,并研究了重金属在模拟降雨条件下的浸出行为。研究结果表明,采矿活动是导致周边稻田土壤中 Cu 和 Cd 升高的原因。基于化学形态分析的结果,大部分重金属与残渣态有关,土壤重金属的环境风险顺序为 Pb>Cd>Ni>As>Zn>Cu>Cr。这表明由于可还原态 Pb 的比例较高,土壤中的 Pb 将带来更高的环境风险,其次是 Cd、Ni、As 和 Zn,它们将带来中等风险。模拟降雨淋滤分析的结果表明,重金属可分为两类:Cu、Ni、Cd、Zn 和 Cr 的浓度随累积模拟降雨量的增加而呈连续下降趋势;而 As 和 Pb 的可浸出性随着浸出时间和淋滤量的增加而增强。总体而言,重金属的浸出率遵循 As>Zn>Ni>Cd>Cr>Cu>Pb 的顺序。就生态系统安全和人类健康而言,应更加关注 Pb 的较高环境风险和 As 的较高浸出率。

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