Literature DB >> 32443215

Health risk-oriented source apportionment of PM2.5-associated trace metals.

Jiawen Xie1, Ling Jin1, Jinli Cui2, Xiaosan Luo3, Jun Li4, Gan Zhang4, Xiangdong Li5.   

Abstract

In health-oriented air pollution control, it is vital to rank the contributions of different emission sources to the health risks posed by hazardous components in airborne fine particulate matters (PM2.5), such as trace metals. Towards this end, we investigated the PM2.5-associated metals in two densely populated regions of China, the Yangtze River Delta (YRD) and Pearl River Delta (PRD) regions, across land-use gradients. Using the positive matrix factorization (PMF) model, we performed an integrated source apportionment to quantify the contributions of the major source categories underlying metal-induced health risks with information on the bioaccessibility (using simulated lung fluid) and speciation (using synchrotron-based techniques) of metals. The results showed that the particulate trace metal profiles reflected the land-use gradient within each region, with the highest concentrations of anthropogenically enriched metals at the industrial sites in the study regions. The resulting carcinogenic risk that these elements posed was higher in the YRD than in the PRD. Chromium was the dominant contributor to the total excessive cancer risks posed by metals while manganese accounted for a large proportion of non-carcinogenic risks. An elevated contribution from industrial emissions was found in the YRD, while traffic emissions and non-traffic combustion (the burning of coal/waste/biomass) were the common dominant sources of cancer and non-cancer risks posed by metals in both regions. Moreover, the risk-oriented source apportionment of metals did not mirror the mass concentration-based one, suggesting the insufficiency of the latter to inform emission mitigation in favor of public health. While providing region-specific insights into the quantitative contribution of major source categories to the health risks of PM2.5-associated trace metals, our study highlighted the need to consider the health protection goal-based source apportionment and emission mitigation in supplement to the current mass concentration-based framework.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bioaccessibility; Health risk; Land-use gradient; PM(2.5); Source apportionment; Trace metal

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Year:  2020        PMID: 32443215     DOI: 10.1016/j.envpol.2020.114655

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  5 in total

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Journal:  Heliyon       Date:  2022-06-07

2.  How long-term air pollution and its metal constituents affect type 2 diabetes mellitus prevalence? Results from Wuhan Chronic Disease Cohort.

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Journal:  Environ Res       Date:  2022-03-26       Impact factor: 8.431

3.  PM2.5 and Trace Elements in Underground Shopping Districts in the Seoul Metropolitan Area, Korea.

Authors:  Soo Ran Won; In-Keun Shim; Jeonghoon Kim; Hyun Ah Ji; Yumi Lee; Jongchun Lee; Young Sung Ghim
Journal:  Int J Environ Res Public Health       Date:  2021-01-03       Impact factor: 3.390

4.  Inhalation Bioaccessibility and Risk Assessment of Metals in PM2.5 Based on a Multiple-Path Particle Dosimetry Model in the Smelting District of Northeast China.

Authors:  Siyu Sun; Na Zheng; Sujing Wang; Yunyang Li; Shengnan Hou; Qirui An; Changcheng Chen; Xiaoqian Li; Yining Ji; Pengyang Li
Journal:  Int J Environ Res Public Health       Date:  2022-07-22       Impact factor: 4.614

5.  Composition, Source Apportionment, and Health Risk of PM2.5-Bound Metals during Winter Haze in Yuci College Town, Shanxi, China.

Authors:  Lihong Li; Hongxue Qi; Xiaodong Li
Journal:  Toxics       Date:  2022-08-11
  5 in total

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