Literature DB >> 33482520

Characteristics, sources, and health risks of PM2.5-bound trace elements in representative areas of Northern Zhejiang Province, China.

Jingsha Xu1, Chunrong Jia2, Huan Yu3, Honghui Xu4, Dongsheng Ji5, Chengjun Wang6, Hang Xiao7, Jun He8.   

Abstract

This study aimed to characterize PM2.5-bound trace elements in Northern Zhejiang Province (NZP), one of the most economically prosperous regions in China, and assess the associated health risks for the general populations. A year-long sampling campaign was conducted at four sites representative of urban, suburban, and rural areas of NZP. The average of the sum of twenty trace elements in PM2.5 was 2.8 ± 0.4 μg m-3, dominated by K, Al, Fe, Mg, Zn, and V (>100 ng m-3). The highest total elements' concentration occurred in winter, followed by autumn, spring, and summer. Enrichment factors and principal component analysis (PCA) revealed that the major sources of trace elements in NZP were fossil fuel combustion, biomass burning, crustal dust, traffic, and industrial emissions. Elevated concentrations of certain elements reflected featured sources in different areas, e.g., V and Ni from heavy oil combustion in the port city, and Cu, Fe and Ba from traffic emissions in urban areas. Arsenic (As) represented the major non-cancer risk driver as its hazard quotient was 8.7. The cumulative cancer risk from all the carcinogenic elements was 1.7 × 10-3 in NZP, exceeding the upper limit (10-4) of the acceptable risk range. As and Cr contributed 33% and 66%, respectively, and thus were regarded as cancer risk drivers. The high health risks from PM2.5-bound elements warrant future actions to control their emissions in this region. Priorities should target industrial operations and coal combustion emissions, as informed by the risk drivers.
Copyright © 2021 Elsevier Ltd. All rights reserved.

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Keywords:  Cancer risk; Enrichment factors; Hazard quotient; PM(2.5); Principal component analysis; Trace elements

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Year:  2021        PMID: 33482520     DOI: 10.1016/j.chemosphere.2021.129632

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Influencing factors and trend prediction of PM2.5 concentration based on STRIPAT-Scenario analysis in Zhejiang Province, China.

Authors:  Qiong Zhang; Shuangshuang Ye; Tiancheng Ma; Xuejuan Fang; Yang Shen; Lei Ding
Journal:  Environ Dev Sustain       Date:  2022-09-15       Impact factor: 4.080

  1 in total

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