An application of a non-homogeneous Poisson model to study PM2.5 exceedances in Mexico City and Bogota

Biviana M. Súarez-Sierra, Eliane R. Rodrigues and Guadalupe Tzintzun

Journal of Applied Statistics, 2022, vol. 49, issue 9, 2430-2445

Abstract: It is very important to study the occurrence of high levels of particulate matter due to the potential harm to people's health and to the environment. In the present work we use a non-homogeneous Poisson model to analyse the rate of exceedances of particulate matter with diameter smaller that 2.5 microns (PM $ _{2.5} $ 2.5). Models with and without change-points are considered and they are applied to data from Bogota, Colombia, and Mexico City, Mexico. Results show that whereas in Bogota larger particles pose a more serious problem, in Mexico City, even though nowadays levels are more controlled, in the recent past PM $ _{2.5} $ 2.5 were the ones causing serious problems.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:49:y:2022:i:9:p:2430-2445

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DOI: 10.1080/02664763.2021.1897972

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