Liu Hongbo, Qu Mingkai, Chen Jian, Guang Xu, Zhang Jianlin, Liu Maosheng, Kang Junfeng, Zhao Yongcun, Huang Biao
School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China.
Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, East Beijing Road 71, Nanjing 210008, China; University of Chinese Academy of Sciences, Yuquan Road 19, Beijing 100049, China.
Sci Total Environ. 2022 Jun 15;825:154004. doi: 10.1016/j.scitotenv.2022.154004. Epub 2022 Feb 19.
Previous studies about heavy metal (HM) accumulation in the surrounding areas affected by mining mainly focused on a single or just a few mining areas. However, these studies could not provide adequate information supporting HM controls in soils at the national scale. This study first conducted a literature investigation and collected HM data in mining areas in China from 263 pieces of published literature. Then, geo-accumulation index (I), ecological risk index (ER), and health risk assessment model were adopted to evaluate their HM pollution, ecological risks, and health risks, respectively. Finally, Geodetector and Pearson correlation coefficients were used to explore the relationships between the spatial distribution patterns of HMs in soils and their influencing factors. Results showed that: (i) the average concentrations of Cd, Hg, Pb, Zn, Cu, As, Ni, and Cr were 5.4, 1.2, 335.3, 496.1, 105.8, 55.0, 42.6, and 72.4 mg kg, respectively, in the surrounding areas affected by mining in China; Cd pollution in soils (I = 2.9) was most severe; Cd (ER > 320) and Hg (ER > 320) were the main ecological risk factors; (ii) among the selected factors, mine types, clay content, soil organic carbon, and precipitation with the highest relative importance for the spatial distribution patterns of the HMs; (iii) HM accumulation were inversely proportional to soil pH, and were proportional to clay content, precipitation, and temperature; (iv) As, Cd, Hg, Pb, and Ni should be selected as the HMs to be controlled preferentially; (v) priority attention should be given to mining areas in Central South China, Southwest China, Liaoning province, and Zhejiang province; (vi) special attention should be given to mining areas of antimony, tin, tungsten, molybdenum, manganese, and lead‑zinc. The above results provided crucial information for HM control in the areas affected by mining at the national scale.
以往关于受采矿影响周边地区重金属(HM)积累的研究主要集中在单个或少数几个矿区。然而,这些研究无法提供足够的信息来支持全国范围内土壤中重金属的控制。本研究首先进行了文献调查,并从263篇已发表文献中收集了中国矿区的重金属数据。然后,分别采用地累积指数(I)、生态风险指数(ER)和健康风险评估模型来评估其重金属污染、生态风险和健康风险。最后,利用地理探测器和皮尔逊相关系数来探讨土壤中重金属空间分布模式与其影响因素之间的关系。结果表明:(i)在中国受采矿影响的周边地区,镉、汞、铅、锌、铜、砷、镍和铬的平均浓度分别为5.4、1.2、335.3、496.1、105.8、55.0、42.6和72.4 mg/kg;土壤中的镉污染(I = 2.9)最为严重;镉(ER > 320)和汞(ER > 320)是主要的生态风险因素;(ii)在所选因素中,矿型、粘粒含量、土壤有机碳和降水量对重金属的空间分布模式具有最高的相对重要性;(iii)重金属积累与土壤pH呈反比,与粘粒含量、降水量和温度呈正比;(iv)应优先选择砷、镉、汞、铅和镍作为要控制的重金属;(v)应优先关注中国中南地区、西南地区、辽宁省和浙江省的矿区;(vi)应特别关注锑、锡、钨、钼、锰和铅锌矿区。上述结果为全国范围内受采矿影响地区的重金属控制提供了关键信息。