Fig 1 - uploaded by Phan Hong Danh Pham
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a The Ho Chi Minh City superimposed with the PAM air ground station layer and b The list of PAM Air ground stations' name in HCMC
Source publication
Air pollution,
especially PM2.5 mass concentration is one of big problems in Ho Chi Minh City in recent years. This study focuses on deriving a linear regression model based on a relationship between ground-level PM2.5 mass concentration measurements and satellite aerosol optical depth (AOD) values. The PM2.5 measurements were collected from 25 gro...
Context in source publication
Context 1
... The images are referenced to the sinusoidal datum and stored in the hdf format. In this study, the PAM Air Ground-Level PM 2.5 Measurements PAM Air company provided hourly ground-level PM 2.5 data of the 25 stations from January 1 to December 31, 2020 in HCMC, except of the Vinh Loc B station. The gound stations' location and name are shown in Fig. 1. The PM 2.5 mass concentration was measured by the PAS-OA320 sensor, monitoring outdoor air quality [24]. The device provides near realtime measurements of air temperature, humidity, PM 10 and PM 2.5 ...
Citations
... In case of AOD in Blue band and Green band retrived from Terra satellite, the image datasets are filtered by the upper and lower boundaries, to eliminate anomalies caused by the effect of clouds and bad weather condition. The ground-level values of PM2.5 mass concentration can be estimated from AOD observations based on their correlation, illustrated as a linear regression [27][28][29][30]. In this paper, the PM2.5 mass concentration values are computed using the multivariable linear regression model from Equation (1), built from the MODIS Blue and Green band AOD images and the PM2.5 mass concentration measurements of the 25 PAM-Air ground stations in HCMC in 2020 [30]. ...
... The ground-level values of PM2.5 mass concentration can be estimated from AOD observations based on their correlation, illustrated as a linear regression [27][28][29][30]. In this paper, the PM2.5 mass concentration values are computed using the multivariable linear regression model from Equation (1), built from the MODIS Blue and Green band AOD images and the PM2.5 mass concentration measurements of the 25 PAM-Air ground stations in HCMC in 2020 [30]. After processing process, the data is divided into timeframe of dry season and wet season from 2019 to 2022 for the study to analyze the spatiotemporal distribution in air pollutants and its change due to the affect of the Covid-19 pandemic in HCMC. ...
The Corona virus disease in 2019 (Covid-19) has come up with serious consequences in public health all over the world, and especially in Ho Chi Minh City (HCMC). During the pandemic, the city needs to do quarantine activities to control the spread of the virus. This study focuses on exploring the impact of the Covid-19 outbreaks on the air quality by the concentration of pollutants including Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), and Ozone (O3) derived from Sentinel-5P TROPOMI data, and Particulate matter is at and under 2.5 mm of diameter (PM2.5) estimated from MODIS Aerosol Optical Depth (AOD) data. The duration of the research is from 1st January 2020 to 31st December 2022, and separated into 2 parts, based on the dry season and the wet season for the case study of Ho Chi Minh city. As a result, it shows the decrease in different level of air pollutants, including the significant decline in NO2 (up to 15.27%), SO2 (up to 46%), and PM2.5 (up to 25.46%), while the O3 layer suffered minor change of 1.75% in increasing. The results are expected to provide an understanding of the geospatial distribution of the air pollutants before and after the Covid-19 lockdown periods in HCMC. Moreover, it also confirms that deploying air quality monitoring systems with ground stations and satellite observations is effective.
