Qiao Pengwei, Dong Nan, Yang Sucai, Gou Yaling
Beijing Key Laboratory of Remediation of Industrial Pollution Sites, Environmental Protection Research Institute of Light Industry, Beijing Academy of Science and Technology, Beijing, 100089, China.
Comprehensive Institute of Geotechnical Investigation and Surveying, Ltd., Beijing, 100007, China.
Environ Pollut. 2021 Mar 15;273:116518. doi: 10.1016/j.envpol.2021.116518. Epub 2021 Jan 18.
Quantitative identification of the main sources of heavy metals and polycyclic aromatic hydrocarbons (PAHs) in soils around multiple types of key areas is of great significance for blocking pollution sources. However, there is a lack of more comprehensive relevant research. In this study, Beijing was taken as the research area and four main sources were identified using the positive matrix factorization (PMF) method. The concentration of Pb, PAHs, Cr, and Hg in soils was significantly affected by the presence of landuse type, road traffic, natural factor, and industrial production, respectively, and the farmland, distance to main road, Proterozoic Changcheng-Jixian parent material and cinnamon soil type, and the gross industrial production make greater contributions to these four factors respectively than other variables. Moreover, the uncertainty of the PMF indicates that this four-factor PMF solution is stable and appropriate. These results provide support for the comprehensive control of soil environmental risks.
定量识别多种关键区域周边土壤中重金属和多环芳烃(PAHs)的主要来源对于阻断污染源具有重要意义。然而,目前缺乏更全面的相关研究。本研究以北京为研究区域,采用正定矩阵因子分解(PMF)方法识别出四个主要来源。土壤中铅、多环芳烃、铬和汞的浓度分别受土地利用类型、道路交通、自然因素和工业生产的显著影响,且农田、距主干道距离、元古宙长城 - 蓟县母质和褐土类型以及工业总产值分别对这四个因素的贡献比其他变量更大。此外,PMF的不确定性表明这种四因素PMF解决方案是稳定且合适的。这些结果为土壤环境风险的综合管控提供了支持。