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Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China
Baoji is a typical heavy industrial city in northwest China. Its air quality is greatly impacted by the emission from the factories. Elements in fine particulate matter (PM(2.5)) that are greatly emitted from anthropogenic sources could pose diverse health impacts on humans. In this study, an online...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039608/ https://www.ncbi.nlm.nih.gov/pubmed/35471756 http://dx.doi.org/10.1007/s11356-022-20184-3 |
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author | Zhou, Bianhong Wang, Jin Liu, Suixin Ho, Steven Sai Hang Wu, Tingting Zhang, Yong Tian, Jie Feng, Qiao Li, Chunyan Wang, Qiyuan |
author_facet | Zhou, Bianhong Wang, Jin Liu, Suixin Ho, Steven Sai Hang Wu, Tingting Zhang, Yong Tian, Jie Feng, Qiao Li, Chunyan Wang, Qiyuan |
author_sort | Zhou, Bianhong |
collection | PubMed |
description | Baoji is a typical heavy industrial city in northwest China. Its air quality is greatly impacted by the emission from the factories. Elements in fine particulate matter (PM(2.5)) that are greatly emitted from anthropogenic sources could pose diverse health impacts on humans. In this study, an online AMMS-100 atmospheric heavy metal analyzer was used to quantify 30 elements in PM(2.5) under the weak and strong anthropogenic disturbance scenarios before the city lockdown period (from January 9(th) to 23(rd)) and the lockdown period (from January 26(th) to February 9(th)) due to the outbreak of COVID-19 in 2020. During the lockdown period, the average total concentration of total quantified elements was 3475.0 ng/m(3), which was 28% and 33% lower than that of the week and strong anthropogenic disturbance scenarios during the pre-lockdown period. The greatest reductions were found for the elements of chromium (Cr), titanium (Ti), manganese (Mn), and Zinc (Zn), consistent with the industrial structure of Baoji. The mass concentrations of most elements showed obvious reductions when the government post-alerted the industries to reduce the operations and production. Dust, traffic sources, combustion, non-ferrous metal processing, and Ti-related industrial processing that are the contributors of the elements in the pre-lockdown period were apportioned by the positive matrix factorization (PMF) model. Substantial changes in the quantified elements’ compositions and sources were found in the lockdown period. Health assessment was conducted and characterized by apportioned sources. The highest non-carcinogenic risk (HQ) was seen for Zn, demonstrating the high emissions from the related industrial activities. The concentration level of arsenic (As) exceeded the incremental lifetime carcinogenic risk (ILCR) in the lockdown period. This could be attributed to the traditional firework activities for the celebration of the Chinese New Year within the lockdown period. |
format | Online Article Text |
id | pubmed-9039608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-90396082022-04-26 Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China Zhou, Bianhong Wang, Jin Liu, Suixin Ho, Steven Sai Hang Wu, Tingting Zhang, Yong Tian, Jie Feng, Qiao Li, Chunyan Wang, Qiyuan Environ Sci Pollut Res Int Research Article Baoji is a typical heavy industrial city in northwest China. Its air quality is greatly impacted by the emission from the factories. Elements in fine particulate matter (PM(2.5)) that are greatly emitted from anthropogenic sources could pose diverse health impacts on humans. In this study, an online AMMS-100 atmospheric heavy metal analyzer was used to quantify 30 elements in PM(2.5) under the weak and strong anthropogenic disturbance scenarios before the city lockdown period (from January 9(th) to 23(rd)) and the lockdown period (from January 26(th) to February 9(th)) due to the outbreak of COVID-19 in 2020. During the lockdown period, the average total concentration of total quantified elements was 3475.0 ng/m(3), which was 28% and 33% lower than that of the week and strong anthropogenic disturbance scenarios during the pre-lockdown period. The greatest reductions were found for the elements of chromium (Cr), titanium (Ti), manganese (Mn), and Zinc (Zn), consistent with the industrial structure of Baoji. The mass concentrations of most elements showed obvious reductions when the government post-alerted the industries to reduce the operations and production. Dust, traffic sources, combustion, non-ferrous metal processing, and Ti-related industrial processing that are the contributors of the elements in the pre-lockdown period were apportioned by the positive matrix factorization (PMF) model. Substantial changes in the quantified elements’ compositions and sources were found in the lockdown period. Health assessment was conducted and characterized by apportioned sources. The highest non-carcinogenic risk (HQ) was seen for Zn, demonstrating the high emissions from the related industrial activities. The concentration level of arsenic (As) exceeded the incremental lifetime carcinogenic risk (ILCR) in the lockdown period. This could be attributed to the traditional firework activities for the celebration of the Chinese New Year within the lockdown period. Springer Berlin Heidelberg 2022-04-26 2022 /pmc/articles/PMC9039608/ /pubmed/35471756 http://dx.doi.org/10.1007/s11356-022-20184-3 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Zhou, Bianhong Wang, Jin Liu, Suixin Ho, Steven Sai Hang Wu, Tingting Zhang, Yong Tian, Jie Feng, Qiao Li, Chunyan Wang, Qiyuan Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China |
title | Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China |
title_full | Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China |
title_fullStr | Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China |
title_full_unstemmed | Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China |
title_short | Extrapolation of anthropogenic disturbances on hazard elements in PM(2.5) in a typical heavy industrial city in northwest China |
title_sort | extrapolation of anthropogenic disturbances on hazard elements in pm(2.5) in a typical heavy industrial city in northwest china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039608/ https://www.ncbi.nlm.nih.gov/pubmed/35471756 http://dx.doi.org/10.1007/s11356-022-20184-3 |
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