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Health risk assessment of China’s main air pollutants
BACKGROUND: With the rapid development of China’s economy, air pollution has attracted public concern because of its harmful effects on health. METHODS: The source apportioning of air pollution, the spatial distribution characteristics, and the relationship between atmospheric contamination, and the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319161/ https://www.ncbi.nlm.nih.gov/pubmed/28219424 http://dx.doi.org/10.1186/s12889-017-4130-1 |
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author | Sun, Jian Zhou, Tiancai |
author_facet | Sun, Jian Zhou, Tiancai |
author_sort | Sun, Jian |
collection | PubMed |
description | BACKGROUND: With the rapid development of China’s economy, air pollution has attracted public concern because of its harmful effects on health. METHODS: The source apportioning of air pollution, the spatial distribution characteristics, and the relationship between atmospheric contamination, and the risk of exposure were explored. The in situ daily concentrations of the principal air pollutants (PM(2.5), PM(10), SO(2), NO(2), CO and O(3)) were obtained from 188 main cities with many continuous air-monitoring stations across China (2014 and 2015). RESULTS: The results indicate positive correlations between PM(2.5) and SO(2) (R (2) = 0.395/0.404, P < 0.0001), CO (R (2) = 0.187/0.365, P < 0.0001), and NO(2) (R (2) = 0.447/0.533, P < 0.0001), but weak correlations with O(3) (P > 0.05) for both 2014 and 2015. Additionally, a significant relationship between SO(2), NO(2,) and CO was discovered using regression analysis (P < 0.0001), indicating that the origin of air pollutants is likely to be vehicle exhaust, coal consumption, and biomass open-burning. For the spatial pattern of air pollutants, we found that the highest concentration of SO(2), NO(2,) and CO were mainly distributed in north China (Beijing-Tianjin-Hebei regions), Shandong, Shanxi and Henan provinces, part of Xinjiang and central Inner Mongolia (2014 and 2015). CONCLUSIONS: The highest concentration and risk of PM(2.5) was observed in the Beijing–Tianjin–Hebei economic belts, and Shandong, Henan, Shanxi, Hubei and Anhui provinces. Nevertheless, the highest concentration of O(3) was irregularly distributed in most areas of China. A high-risk distribution of PM(10), SO(2) and NO(2) was also observed in these regions, with the high risk of PM(10) and NO(2) observed in the Hebei and Shandong province, and high-risk of PM(10) in Urumchi. The high-risk of NO(2) distributed in Beijing-Yangtze River Delta region-Pearl River Delta region-central. Although atmospheric contamination slightly improved in 2015 compared to 2014, humanity faces the challenge of reducing the environmental and public health effects of air pollution by altering the present mode of growth to achieve sustainable social and economic development. |
format | Online Article Text |
id | pubmed-5319161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53191612017-02-24 Health risk assessment of China’s main air pollutants Sun, Jian Zhou, Tiancai BMC Public Health Research Article BACKGROUND: With the rapid development of China’s economy, air pollution has attracted public concern because of its harmful effects on health. METHODS: The source apportioning of air pollution, the spatial distribution characteristics, and the relationship between atmospheric contamination, and the risk of exposure were explored. The in situ daily concentrations of the principal air pollutants (PM(2.5), PM(10), SO(2), NO(2), CO and O(3)) were obtained from 188 main cities with many continuous air-monitoring stations across China (2014 and 2015). RESULTS: The results indicate positive correlations between PM(2.5) and SO(2) (R (2) = 0.395/0.404, P < 0.0001), CO (R (2) = 0.187/0.365, P < 0.0001), and NO(2) (R (2) = 0.447/0.533, P < 0.0001), but weak correlations with O(3) (P > 0.05) for both 2014 and 2015. Additionally, a significant relationship between SO(2), NO(2,) and CO was discovered using regression analysis (P < 0.0001), indicating that the origin of air pollutants is likely to be vehicle exhaust, coal consumption, and biomass open-burning. For the spatial pattern of air pollutants, we found that the highest concentration of SO(2), NO(2,) and CO were mainly distributed in north China (Beijing-Tianjin-Hebei regions), Shandong, Shanxi and Henan provinces, part of Xinjiang and central Inner Mongolia (2014 and 2015). CONCLUSIONS: The highest concentration and risk of PM(2.5) was observed in the Beijing–Tianjin–Hebei economic belts, and Shandong, Henan, Shanxi, Hubei and Anhui provinces. Nevertheless, the highest concentration of O(3) was irregularly distributed in most areas of China. A high-risk distribution of PM(10), SO(2) and NO(2) was also observed in these regions, with the high risk of PM(10) and NO(2) observed in the Hebei and Shandong province, and high-risk of PM(10) in Urumchi. The high-risk of NO(2) distributed in Beijing-Yangtze River Delta region-Pearl River Delta region-central. Although atmospheric contamination slightly improved in 2015 compared to 2014, humanity faces the challenge of reducing the environmental and public health effects of air pollution by altering the present mode of growth to achieve sustainable social and economic development. BioMed Central 2017-02-20 /pmc/articles/PMC5319161/ /pubmed/28219424 http://dx.doi.org/10.1186/s12889-017-4130-1 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Sun, Jian Zhou, Tiancai Health risk assessment of China’s main air pollutants |
title | Health risk assessment of China’s main air pollutants |
title_full | Health risk assessment of China’s main air pollutants |
title_fullStr | Health risk assessment of China’s main air pollutants |
title_full_unstemmed | Health risk assessment of China’s main air pollutants |
title_short | Health risk assessment of China’s main air pollutants |
title_sort | health risk assessment of china’s main air pollutants |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319161/ https://www.ncbi.nlm.nih.gov/pubmed/28219424 http://dx.doi.org/10.1186/s12889-017-4130-1 |
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