Effects of Population Weighting on PM 10 Concentration Estimation.

Autor: Abdul Shakor AS; Environmental Health Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, 40170 Shah Alam, Selangor, Malaysia., Pahrol MA; Environmental Health Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, 40170 Shah Alam, Selangor, Malaysia., Mazeli MI; Environmental Health Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, 40170 Shah Alam, Selangor, Malaysia.
Jazyk: angličtina
Zdroj: Journal of environmental and public health [J Environ Public Health] 2020 Apr 13; Vol. 2020, pp. 1561823. Date of Electronic Publication: 2020 Apr 13 (Print Publication: 2020).
DOI: 10.1155/2020/1561823
Abstrakt: Particulate matter with an aerodynamic diameter of 10  μ m 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  µ g/m 3 but became generally lower, ranging from 20 to 72  µ g/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.
Competing Interests: The authors have no conflicts of interest with the materials presented in this paper.
(Copyright © 2020 Ameerah Su'ad Abdul Shakor et al.)
Databáze: MEDLINE
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