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The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand

Air quality is heavily influenced by rising pollution distribution levels which are a consequence of many artificial activities from numerous sources. This study aims to determine the relationship between meteorological data and air pollutants. The health effects of long-term PM(2.5) were estimated...

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Autores principales: Kliengchuay, Wissanupong, Srimanus, Wechapraan, Srimanus, Rachodbun, Kiangkoo, Nuttapohn, Moonsri, Kamontat, Niampradit, Sarima, Suwanmanee, San, Tantrakarnapa, Kraichat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334582/
https://www.ncbi.nlm.nih.gov/pubmed/35902711
http://dx.doi.org/10.1038/s41598-022-17087-1
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author Kliengchuay, Wissanupong
Srimanus, Wechapraan
Srimanus, Rachodbun
Kiangkoo, Nuttapohn
Moonsri, Kamontat
Niampradit, Sarima
Suwanmanee, San
Tantrakarnapa, Kraichat
author_facet Kliengchuay, Wissanupong
Srimanus, Wechapraan
Srimanus, Rachodbun
Kiangkoo, Nuttapohn
Moonsri, Kamontat
Niampradit, Sarima
Suwanmanee, San
Tantrakarnapa, Kraichat
author_sort Kliengchuay, Wissanupong
collection PubMed
description Air quality is heavily influenced by rising pollution distribution levels which are a consequence of many artificial activities from numerous sources. This study aims to determine the relationship between meteorological data and air pollutants. The health effects of long-term PM(2.5) were estimated on expected life remaining (ELR) and years of life lost (YLL) indices in Ratchaburi province during the years 2015–2019 using AirQ+ software. Values obtained from the PM(2.5) averaging, and YLL data were processed for the whole population in the age range of 0–29, 30–60 and over 60. These values were entered into AirQ+ software. The mean annual concentration of PM(2.5) was highly variable, with the highest concentration being 136.42 μg/m(3) and the lowest being 2.33 μg/m(3). The results estimated that the highest and lowest YLL in the next 10 years for all age groups would be 24,970.60 and 11,484.50 in 2017 and 2019, respectively. The number of deaths due to COPD, IHD, and stroke related to long-term exposure to ambient PM(2.5) were 125, 27 and 26, respectively. The results showed that older people (> 64) had a higher YLL index than the groups aged under 64 years. The highest and lowest values for all ages were 307.15 (2015) and 159 (2017). Thus, this study demonstrated that the PM(2.5) effect to all age groups, especially the the elderly people, which the policy level should be awared and fomulated the stratergies to protecting the sensitive group.
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spelling pubmed-93345822022-07-30 The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand Kliengchuay, Wissanupong Srimanus, Wechapraan Srimanus, Rachodbun Kiangkoo, Nuttapohn Moonsri, Kamontat Niampradit, Sarima Suwanmanee, San Tantrakarnapa, Kraichat Sci Rep Article Air quality is heavily influenced by rising pollution distribution levels which are a consequence of many artificial activities from numerous sources. This study aims to determine the relationship between meteorological data and air pollutants. The health effects of long-term PM(2.5) were estimated on expected life remaining (ELR) and years of life lost (YLL) indices in Ratchaburi province during the years 2015–2019 using AirQ+ software. Values obtained from the PM(2.5) averaging, and YLL data were processed for the whole population in the age range of 0–29, 30–60 and over 60. These values were entered into AirQ+ software. The mean annual concentration of PM(2.5) was highly variable, with the highest concentration being 136.42 μg/m(3) and the lowest being 2.33 μg/m(3). The results estimated that the highest and lowest YLL in the next 10 years for all age groups would be 24,970.60 and 11,484.50 in 2017 and 2019, respectively. The number of deaths due to COPD, IHD, and stroke related to long-term exposure to ambient PM(2.5) were 125, 27 and 26, respectively. The results showed that older people (> 64) had a higher YLL index than the groups aged under 64 years. The highest and lowest values for all ages were 307.15 (2015) and 159 (2017). Thus, this study demonstrated that the PM(2.5) effect to all age groups, especially the the elderly people, which the policy level should be awared and fomulated the stratergies to protecting the sensitive group. Nature Publishing Group UK 2022-07-28 /pmc/articles/PMC9334582/ /pubmed/35902711 http://dx.doi.org/10.1038/s41598-022-17087-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kliengchuay, Wissanupong
Srimanus, Wechapraan
Srimanus, Rachodbun
Kiangkoo, Nuttapohn
Moonsri, Kamontat
Niampradit, Sarima
Suwanmanee, San
Tantrakarnapa, Kraichat
The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand
title The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand
title_full The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand
title_fullStr The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand
title_full_unstemmed The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand
title_short The association of meteorological parameters and AirQ+ health risk assessment of PM(2.5) in Ratchaburi province, Thailand
title_sort association of meteorological parameters and airq+ health risk assessment of pm(2.5) in ratchaburi province, thailand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334582/
https://www.ncbi.nlm.nih.gov/pubmed/35902711
http://dx.doi.org/10.1038/s41598-022-17087-1
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