School of Geographical Sciences, Nanjing Normal University, Nanjing, 210023, China; Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, 210023, China.
Key Laboratory of Wisdom City and Environmental Modeling of Higher Education Institute, College of Resources and Environment Sciences, Xinjiang University, Urumqi, 830046, China.
Environ Res. 2021 Nov;202:111702. doi: 10.1016/j.envres.2021.111702. Epub 2021 Jul 17.
This study aims to analyze the pollution characteristics and sources of heavy metal elements for the first time in the Zhundong mining area in Xinjiang using the linear regression model. Additionaly, the health risks with their probability and infleuencing factors on different groups of people's were also evaluated using Monte Carlo (MC) simulation approach. The results shows that 89.28% of Hg was from coal combustion, 40.28% of Pb was from transportation, and 19.54% of As was from atmospheric dust. The main source of Cu and Cr was coal dust, Hg has the greatest impact on potential ecological risks. which accounted for 60.2% and 81.46% of the Cu and Cr content in soil, respectively. The all samples taken from Pb have been Extremely polluted (100%). 93.3% samples taken from As have been Extremely polluted. The overall potential ecological risk was moderate. Adults experienced higher non-carcinogenic risks of heavy metals from their diets than children. Interestingly, body weight was the main factor affecting the adult's health risks. This research provides more comprehensive information for better soil management, soil remediation, and soil pollution control in the Xinjiang mining areas.
本研究首次采用线性回归模型分析了新疆准东矿区重金属元素的污染特征和来源,并采用蒙特卡罗(MC)模拟方法评估了不同人群的健康风险及其概率和影响因素。结果表明,89.28%的汞来自煤炭燃烧,40.28%的铅来自交通运输,19.54%的砷来自大气尘埃。铜和铬的主要来源是煤尘,汞对潜在生态风险的影响最大,分别占土壤中铜和铬含量的 60.2%和 81.46%。所有取自铅的样本均为极重度污染(100%)。取自砷的 93.3%样本均为极重度污染。整体潜在生态风险为中度。成年人从饮食中摄入重金属的非致癌风险高于儿童。有趣的是,体重是影响成年人健康风险的主要因素。本研究为新疆矿区更好的土壤管理、土壤修复和土壤污染控制提供了更全面的信息。