Literature DB >> 34418825

Heavy metal pollution levels, source apportionment and risk assessment in dust storms in key cities in Northwest China.

Haiping Luo1, Qingzheng Wang1, Qingyu Guan2, Yunrui Ma1, Fei Ni1, Enqi Yang1, Jun Zhang1.   

Abstract

In this study, the potential hazards of heavy metals in dust storms were investigated by collecting dust storm samples, measuring their heavy metal concentrations, and using index evaluation, spatial analysis, positive matrix factorization (PMF) model and risk assessment model. Heavy metals in dust storms were contaminated by anthropogenic sources leading to their concentrations being higher than the background values. The enrichment factors and geoaccumulation indices showed that the heavy metals came from both natural and anthropogenic sources, Cu, Ni, Zn and Pb are strongly influenced by anthropogenic sources. Heavy metals in dust storms were divided into four sources: Cu and Ni were attributed to industrial sources mainly from local mining and metal processing; Cr was mainly contributed by industrial sources related to industrial production such as coal combustion; Pb and Zn were mainly contributed by transportation sources; and Ti, V, Mn, Fe, and As were from natural and agricultural sources. The level of comprehensive ecological risk of heavy metals in dust storms were low, but there were moderate and above risks at individual sites. Both adults and children had the highest carcinogenic and non-carcinogenic risks from the ingestion route, and the risk for children was higher than that for adults.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dust storm; Heavy metals; PMF model; Pollution assessment; Risk assessment

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Year:  2021        PMID: 34418825     DOI: 10.1016/j.jhazmat.2021.126878

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  1 in total

1.  Ecological risk and health risk analysis of soil potentially toxic elements from oil production plants in central China.

Authors:  Lu Gan; Jiangping Wang; Mengyun Xie; Bokai Yang
Journal:  Sci Rep       Date:  2022-10-12       Impact factor: 4.996

  1 in total

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