2022
DOI: 10.3390/su142416702
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Establishment of a City-Based Index to Communicate Air Pollution-Related Health Risks to the Public in Bangkok, Thailand

Abstract: An Air Quality Health Index (AQHI), a health risk-based air pollution index, was constructed to communicate to the public their health risks due to exposure to air pollution in Bangkok, Thailand. This AQHI was built by analyzing the association between total excess respiratory disease-related deaths and individual air pollutants, using a time-series analysis of daily data from 2010 to 2019. We used Poisson regression in a generalized additive model, with natural cubic smooth splines to analyze the data and con… Show more

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Cited by 2 publications
(1 citation statement)
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“…Future work to further the understanding of haze in the study area can be extended to the following topics: quantified contributions of meteorology and emissions to haze [ 57 ], health impact of air pollution [ 58 ], vertical evolution of haze and atmospheric stability during cold surges and sea breezes, [ 59 ], quantitative meteorological classification [ 60 ], episodic chemical characterization and source apportionment, and the spatiotemporal variation of haze with satellite-based PM 2.5 mapping using statistical and machine learning modeling [ 61 ]. It is also useful to incorporate more PM 2.5 data into the analysis if the monitoring network becomes more extensive over the study area.…”
Section: Discussionmentioning
confidence: 99%
“…Future work to further the understanding of haze in the study area can be extended to the following topics: quantified contributions of meteorology and emissions to haze [ 57 ], health impact of air pollution [ 58 ], vertical evolution of haze and atmospheric stability during cold surges and sea breezes, [ 59 ], quantitative meteorological classification [ 60 ], episodic chemical characterization and source apportionment, and the spatiotemporal variation of haze with satellite-based PM 2.5 mapping using statistical and machine learning modeling [ 61 ]. It is also useful to incorporate more PM 2.5 data into the analysis if the monitoring network becomes more extensive over the study area.…”
Section: Discussionmentioning
confidence: 99%