School of Earth Science and Engineering, Sun Yat-Sen University, Guangzhou, 510275, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Environ Pollut. 2022 Apr 15;299:118925. doi: 10.1016/j.envpol.2022.118925. Epub 2022 Jan 29.
Heavy metal (loid)s (HMs) and polycyclic aromatic hydrocarbons (PAHs) in soils from a typical industrial county of Shanxi were synchronously measured to determine the spatial clustering of combined HMs and PAHs pollution, and the resulting source-specific health risks. The spatial interaction of HMs and PAHs was determined by the Moran's I index, and a bivariate local indicators of spatial association (LISA) analysis showed that the high HMs-high PAHs clusters were mainly distributed in Fencheng and Xijia towns, as well as the main urban areas of Xiangfen County. The spatial clusters of high naphthalene (Nap)-high HMs were more obvious than those of high benzo(a)pyrene (Bap)-high HMs. Based on positive matrix factorization (PMF), four sources were identified for both HMs and PAHs, with coal consumption and industrial emission identified as common sources of both pollutants. The source-oriented health risk was determined using an improved health risk assessment model. The cancer risk from the combined pollution industrial emissions was relatively serious for both adults and children, with the risk value exceeding 10. Therefore, special attention should be paid to emission control. Based on spatial clustering and source-specific health risk assessment, the largest risk areas and pollutant sources were in the main urban areas of Fencheng and Xijia towns. The spatial interaction patterns and source-specific HMs and PAHs pollution concentrations provide a basis for effective pollution management and control. Finally, a systematic framework for reference was proposed for risk area identification and analysis of the source-oriented health risks of combined HMs and PAHs pollution.
土壤中重金属 (loid)s 和多环芳烃的同步测量，以确定山西典型工业县重金属和多环芳烃复合污染的空间集聚及其特定来源的健康风险。通过 Moran's I 指数确定重金属和多环芳烃的空间相互作用，二元局部空间关联（LISA）分析表明，高重金属-高多环芳烃聚类主要分布在汾城镇和西贾镇，以及乡宁县的主要城区。高萘-高重金属的空间聚类比高苯并(a)芘-高重金属的聚类更明显。基于正定矩阵因子分解（PMF），确定了重金属和多环芳烃的四个来源，其中煤炭消费和工业排放被确定为两种污染物的共同来源。采用改进的健康风险评估模型确定了基于源的健康风险。成人和儿童受复合污染工业排放的癌症风险相对严重，风险值超过 10。因此，应特别注意排放控制。基于空间聚类和特定源的健康风险评估，最大风险区域和污染源位于汾城镇和西贾镇的主要城区。空间相互作用模式和特定源的重金属和多环芳烃污染浓度为有效污染管理和控制提供了依据。最后，提出了一个系统的参考框架，用于风险区域识别和分析重金属和多环芳烃复合污染的特定来源的健康风险。
