Literature DB >> 29980081

Emission control priority of PM2.5-bound heavy metals in different seasons: A comprehensive analysis from health risk perspective.

Jianwei Liu1, Yanjiao Chen1, Sihong Chao1, Hongbin Cao2, Aichen Zhang1, Yue Yang1.   

Abstract

Source-specific health risks of PM2.5-bound metals were analyzed for emission control by integrating source apportionment with health risk assessments of residents affected via inhalation pathways. A total of 218 daily PM2.5 samples were collected in 2016 in the central urban district of Beijing, China. Analyses showed that the mean annual concentrations of total heavy metals (THMs) and PM2.5 were 0.39 and 104.37 μg m-3, respectively. The heating season had significantly higher concentrations of THMs and PM2.5 (0.61, 134 μg m-3) than the non-heating season (0.27, 88.1 μg m-3) (p < 0.05). Among all metals, arsenic had the largest incremental cancer risk of 7.04 × 10-6. Six sources were identified by positive matrix factorization combined with conditional probability function and potential source contribution function analyses. The order of contribution to PM2.5-bound metal concentrations was resuspended dust (61.0%), traffic emission (16.3%), Cu-related industry (14.1%), coal combustion (3.7%), Cr-related industry (3.4%), and fuel oil combustion (1.6%). During the heating season, the contribution of coal combustion decreased slightly, which may have been due to the countermeasure of substituting coal for gas or electric heat in 2016. However, in terms of cancer risk contribution, coal combustion was the top contributor in both heating (3.5 × 10-6, 51.6%) and non-heating (2.7 × 10-6, 59.6%) seasons due to high attributable contents of the toxic metals, As, Cd and Pb. The Cr-related and Cu-related industries were the next controlled sources in the heating and non-heating seasons, respectively. Thus, these sources should receive priority in the development of control measures.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coal combustion; Heavy metals; PM(2.5); Positive matrix factorization; Source-specific health risk

Mesh:

Substances:

Year:  2018        PMID: 29980081     DOI: 10.1016/j.scitotenv.2018.06.226

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

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Authors:  Tahereh Rahmatinia; Majid Kermani; Mahdi Farzadkia; Mohammad Hossein Nicknam; Narjes Soleimanifar; Bahareh Mohebbi; Ahmad Jonidi Jafari; Abbas Shahsavani; Farzad Fanaei
Journal:  J Environ Health Sci Eng       Date:  2021-08-22

2.  Response of PM2.5-bound elemental species to emission variations and associated health risk assessment during the COVID-19 pandemic in a coastal megacity.

Authors:  Guochen Wang; Kan Huang; Qingyan Fu; Jia Chen; Juntao Huo; Qianbiao Zhao; Yusen Duan; Yanfen Lin; Fan Yang; Wenjie Zhang; Hao Li; Jian Xu; Xiaofei Qin; Na Zhao; Congrui Deng
Journal:  J Environ Sci (China)       Date:  2021-10-18       Impact factor: 6.796

3.  Global impact of atmospheric arsenic on health risk: 2005 to 2015.

Authors:  Lei Zhang; Yang Gao; Shiliang Wu; Shaoqing Zhang; Kirk R Smith; Xiaohong Yao; Huiwang Gao
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-08       Impact factor: 11.205

  3 in total

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