Quantitative analysis of the main sources of pollutants in the soils around key areas based on the positive matrix factorization method. (15th March 2021)

• Record Type: Journal Article
• Authors: Qiao, Pengwei; Dong, Nan; Yang, Sucai; Gou, Yaling
• Is Part Of: Environmental pollution. Volume 273(2021)
• Publication Date: 2021-03-15
• Subjects: Soil pollution -- Heavy metals -- Polycyclic aromatic hydrocarbons (PAHs) -- Multiple types of pollution sources -- Uncertainty; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2021.116518
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: 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. Graphical abstract: Image 1 Highlights: Quantitative identification of the main sources of pollutants in the key areas. Offseting the lack of comprehensive research on multiple types of pollution sources. PMF is an effective tool for source apportionment of heavy metals and PAHs in soils.