Satellite data geoprocessing to estimate PM2.5 over the Megalopolis of Central Mexico
Por:
Mora-Ramirez, Marco Antonio, Martinez-Luna, Edgar, Cruz-Nunez, Xochitl
Publicada:
1 ene 2024
Resumen:
The Megalopolis of Central Mexico experiences high levels above the
Official Mexican Standard (NOM) of PM2.5, leading to various respiratory
diseases ranging from acute symptoms to chronic illnesses such as asthma
and lung cancer. It is crucial to measure PM2.5 levels accurately to
warn the public about the risks of exposure to particulate matter.
Unfortunately, the Megalopolis of Central Mexico has a shortage of
monitoring sites, limiting data availability. This study addresses this
issue using satellite data to develop a multiple linear regression
model. Our model uses aerosol optical depth (AOD), relative humidity
(RH), temperature (T), the planetary boundary layer height (PBLH), and
the normalized difference vegetation index (NDVI) as independent
variables to estimate PM2.5 concentrations in the region under study.
The relationship between AOD and PM2.5 concentrations was found to be
strongly influenced by RH and T. However, this effect is compensated for
by a low PBLH (< 400 m), which enables AOD and PM2.5 measurements to be
similar in magnitude. Our findings have important implications for
estimating PM2.5 concentrations using satellite data. This study could
help improve air quality monitoring in the Megalopolis of Central Mexico
by providing more spatial and temporal data on particle concentrations
in the atmosphere.
Filiaciones:
Mora-Ramirez, Marco Antonio:
Benemerita Univ Autonoma Puebla, Fac Ciencias Quim, Dept Fisicomatemat, Puebla Pue Ave 14 Col Jardines de San Manuel, Ciud, Puebla 72001, Puebla, Mexico
Martinez-Luna, Edgar:
Benemerita Univ Autonoma Puebla, Fac Ciencias Quim, Dept Fisicomatemat, Puebla Pue Ave 14 Col Jardines de San Manuel, Ciud, Puebla 72001, Puebla, Mexico
Cruz-Nunez, Xochitl:
Univ Nacl Autonoma Mexico, Inst Ciencias Atmosfera & Cambio Climat, Circuito Invest Cient s-n,Ciudad Univ, Ciudad De Mexico 04510, Mexico
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