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Outdoor air quality data for spatiotemporal analysis and air quality modelling in Ho Chi Minh City, Vietnam: A part of HealthyAir Project.


ABSTRACT: This article presents outdoor air pollution data acquired from the real-time Air Quality Monitoring Network (AQMN), which was established by the Healthyair project team in Ho Chi Minh City (HCMC), Vietnam. The AQMN is made up of six air pollution monitoring stations spread over the city (Traffic, Residential, and Industrial). Each station measures the same contaminants in the air, including PM2.5, TSP, NO2, SO2, O3, CO, and two meteorological factors, temperature and humidity. This data is crucial for air quality modelling, spatiotemporal analysis, correlation analysis, and assessing local air pollution around the city. The data was first obtained in minute frequency, then transformed and produced in hourly frequency for analysis and modelling. The PM2.5 data from this dataset was used to construct an hourly air quality PM2.5 forecasting model in the publication titled "AI-based Air Quality PM2.5 Forecasting Models for Developing Countries: A Case Study of Ho Chi Minh City, Vietnam" by Rakholia et. al. (2022).

SUBMITTER: Rakholia R 

PROVIDER: S-EPMC9720438 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Outdoor air quality data for spatiotemporal analysis and air quality modelling in Ho Chi Minh City, Vietnam: A part of HealthyAir Project.

Rakholia Rajnish R   Le Quan Q   Vu Khue Hoang Ngoc KHN   Ho Bang Quoc BQ   Carbajo Ricardo Simon RS  

Data in brief 20221123


This article presents outdoor air pollution data acquired from the real-time Air Quality Monitoring Network (AQMN), which was established by the Healthyair project team in Ho Chi Minh City (HCMC), Vietnam. The AQMN is made up of six air pollution monitoring stations spread over the city (Traffic, Residential, and Industrial). Each station measures the same contaminants in the air, including PM<sub>2.5</sub>, TSP, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub>, CO, and two meteorological factors,  ...[more]

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