Open AccessAn empirical relationship between PM2.5 and aerosol optical depth from MODIS satellite images for spatial simulation over Ho Chi Minh city
Author(s) -
Vo Quoc Bao,
AUTHOR_ID,
Lê Văn Tán,
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AUTHOR_ID,
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Publication year - 2021
Publication title -
vietnam journal of science, technology and engineering (ministry of science and technology)/vietnam journal of science, technology and engineering
Language(s) - English
Resource type - Journals
eISSN - 2615-9937
pISSN - 2525-2461
DOI - 10.31276/vjste.63(4).72-78
Subject(s) - moderate resolution imaging spectroradiometer , aerosol , particulates , environmental science , air quality index , satellite , megacity , remote sensing , satellite imagery , spectroradiometer , linear regression , meteorology , spatial distribution , atmospheric sciences , geography , statistics , reflectivity , geology , mathematics , ecology , physics , economy , optics , aerospace engineering , engineering , economics , biology
Air quality in megacities has been a pressing concern of environmental managers and scientists for decades. Indeed, particulate matter (PM), especially PM2.5, is considered a dangerousparticle that is harmful to human health. The current sparse monitoring network in Ho Chi Minh city (HCMC) does not accurately reflect the spatial distribution of fine particles in ambient air. Therefore, this research examines the relationship between ground-based station data and aerosol optical depth (AOD) imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra/Aqua satellite to establish a PM2.5 distribution map of HCMC. PM2.5 concentration values monitored from two ground stations were collocated by time and space with Terra/MODIS AOD data from the period of 2016-2020. Pairs of values were checked for correlation and then fit to several regression functions. The most suitable function was chosen to simulate the quantified PM2.5distributions in the study area. A high correlation between PM2.5 concentrations and AOD at the wavelength of green light (R2=0.810) was found with a linear regression model. The results showed that the highest concentration of PM2.5 was in February, and the mean value was higher than QCVN 05:2013 (32.5 μg/m3compared with 25 μg/m3, annual mean). These results support the need for essential air quality monitoring in HCMC.