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Effects of Population Weighting on PM(10) Concentration Estimation
Particulate matter with an aerodynamic diameter of 10 μm or less (PM(10)) pollution poses a considerable threat to human health, and the first step in quantifying health impacts of human exposure to PM(10) pollution is exposure assessment. Population-weighted exposure level (PWEL) estimation is one...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174967/ https://www.ncbi.nlm.nih.gov/pubmed/32351580 http://dx.doi.org/10.1155/2020/1561823 |
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author | Abdul Shakor, Ameerah Su'ad Pahrol, Muhammad Alfatih Mazeli, Mohamad Iqbal |
author_facet | Abdul Shakor, Ameerah Su'ad Pahrol, Muhammad Alfatih Mazeli, Mohamad Iqbal |
author_sort | Abdul Shakor, Ameerah Su'ad |
collection | PubMed |
description | Particulate matter with an aerodynamic diameter of 10 μm or less (PM(10)) pollution poses a considerable threat to human health, and the first step in quantifying health impacts of human exposure to PM(10) pollution is exposure assessment. Population-weighted exposure level (PWEL) estimation is one of the methods that provide a more refined exposure assessment as it includes the spatiotemporal distribution of the population into the pollution concentration estimation. This study assessed the population weighting effects on the estimated PM(10) concentrations in Malaysia for years 2000, 2008, and 2013. Estimated PM(10) annual mean concentrations with a spatial resolution of 5 kilometres retrieved from satellite data and population count obtained from the Gridded Population of the World version 4 (GPWv4) from the Centre for International Earth Science Information Network (CIESIN) were overlaid to generate the PWEL of PM(10) for each state. The calculated PWEL of PM(10) concentrations were then classified based on the World Health Organization (WHO) and the national Air Quality Guidelines (AQG) and interim targets (IT) for comparison. Results revealed that the annual mean PM(10) concentrations in Malaysia ranged from 31 to 73 µg/m(3) but became generally lower, ranging from 20 to 72 µg/m(3) after population weighting, suggesting that the PM(10) population exposure in Malaysia might have been overestimated. PWEL of PM(10) distribution showed that the majority of the population lived in areas that complied with the national AQG, but were vulnerable to exposure level 3 according to the WHO AQG and IT, indicating that the population was nevertheless potentially exposed to significant health effects from long-term exposure to PM(10) pollution. |
format | Online Article Text |
id | pubmed-7174967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-71749672020-04-29 Effects of Population Weighting on PM(10) Concentration Estimation Abdul Shakor, Ameerah Su'ad Pahrol, Muhammad Alfatih Mazeli, Mohamad Iqbal J Environ Public Health Research Article Particulate matter with an aerodynamic diameter of 10 μm or less (PM(10)) pollution poses a considerable threat to human health, and the first step in quantifying health impacts of human exposure to PM(10) pollution is exposure assessment. Population-weighted exposure level (PWEL) estimation is one of the methods that provide a more refined exposure assessment as it includes the spatiotemporal distribution of the population into the pollution concentration estimation. This study assessed the population weighting effects on the estimated PM(10) concentrations in Malaysia for years 2000, 2008, and 2013. Estimated PM(10) annual mean concentrations with a spatial resolution of 5 kilometres retrieved from satellite data and population count obtained from the Gridded Population of the World version 4 (GPWv4) from the Centre for International Earth Science Information Network (CIESIN) were overlaid to generate the PWEL of PM(10) for each state. The calculated PWEL of PM(10) concentrations were then classified based on the World Health Organization (WHO) and the national Air Quality Guidelines (AQG) and interim targets (IT) for comparison. Results revealed that the annual mean PM(10) concentrations in Malaysia ranged from 31 to 73 µg/m(3) but became generally lower, ranging from 20 to 72 µg/m(3) after population weighting, suggesting that the PM(10) population exposure in Malaysia might have been overestimated. PWEL of PM(10) distribution showed that the majority of the population lived in areas that complied with the national AQG, but were vulnerable to exposure level 3 according to the WHO AQG and IT, indicating that the population was nevertheless potentially exposed to significant health effects from long-term exposure to PM(10) pollution. Hindawi 2020-04-13 /pmc/articles/PMC7174967/ /pubmed/32351580 http://dx.doi.org/10.1155/2020/1561823 Text en Copyright © 2020 Ameerah Su'ad Abdul Shakor et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Abdul Shakor, Ameerah Su'ad Pahrol, Muhammad Alfatih Mazeli, Mohamad Iqbal Effects of Population Weighting on PM(10) Concentration Estimation |
title | Effects of Population Weighting on PM(10) Concentration Estimation |
title_full | Effects of Population Weighting on PM(10) Concentration Estimation |
title_fullStr | Effects of Population Weighting on PM(10) Concentration Estimation |
title_full_unstemmed | Effects of Population Weighting on PM(10) Concentration Estimation |
title_short | Effects of Population Weighting on PM(10) Concentration Estimation |
title_sort | effects of population weighting on pm(10) concentration estimation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174967/ https://www.ncbi.nlm.nih.gov/pubmed/32351580 http://dx.doi.org/10.1155/2020/1561823 |
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