Yang Dejun, Zhu Huawei, Liu Jianqin, Zhang Yajun, Wu Song, Xiong Jibing, Wang Fayuan
Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China.
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China.
Toxics. 2023 Feb 25;11(3):217. doi: 10.3390/toxics11030217.
Laboratory experiments were carried out to analyze 39 soil samples collected from four industrial areas in Xuzhou City using inductively coupled plasma mass spectrometry and atomic fluorescence spectrometry. The descriptive statistics of heavy metals (HMs) in the soil profiles showed that the HM content at three depths was highly variable, and most coefficients of variation (CVs) showed moderate variability. The enrichment of Cd at all depths exceeded the risk screening value, and Cd pollution occurred in four plants. The enrichment of the other HMs at three depths was mainly concentrated in the pharmaceutical plant A and chemical plant C. It was found that the different HMs had different vertical distribution characteristics. For the different industrial plants, the raw materials and products not only made the spatial distribution characteristics of the HMs different, but also caused the HM types and contents to differ. The average single pollution indices of Cd in plant A, iron-steel plant B, and plant C indicated a slight pollution level. The other seven HMs in A, B, and C and all HMs in chemical plant D belonged to the safe category. The mean values of the Nemerow pollution index in the four industrial plants belonged to the warning category. The analysis showed that none of the HMs posed potential noncarcinogenic health risks, and only the carcinogenic health risks of Cr in plants A and C were unacceptable. The carcinogenic effect of Cr through the inhalation intake of resuspended soil particulates and that of Cd, Ni, and As via direct oral ingestion were the main exposure pathways.
开展了实验室实验,使用电感耦合等离子体质谱法和原子荧光光谱法分析从徐州市四个工业区采集的39个土壤样本。土壤剖面中重金属(HMs)的描述性统计表明,三个深度处的重金属含量变化很大,且大多数变异系数(CVs)显示出中等变异性。所有深度处镉的富集均超过风险筛选值,且在四个工厂中出现了镉污染。其他重金属在三个深度处的富集主要集中在制药厂A和化工厂C。研究发现,不同的重金属具有不同的垂直分布特征。对于不同的工业工厂,原材料和产品不仅使重金属的空间分布特征不同,还导致重金属类型和含量存在差异。工厂A、钢铁厂B和工厂C中镉的平均单项污染指数表明为轻度污染水平。A、B和C中的其他七种重金属以及化工厂D中的所有重金属均属于安全类别。四个工业工厂中内梅罗污染指数的平均值属于警戒类别。分析表明,没有一种重金属构成潜在的非致癌健康风险,只有工厂A和C中铬的致癌健康风险不可接受。铬通过吸入再悬浮土壤颗粒物以及镉、镍和砷通过直接经口摄入的致癌作用是主要暴露途径。