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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.
- Source :
-
Data in brief [Data Brief] 2022 Nov 23; Vol. 46, pp. 108774. Date of Electronic Publication: 2022 Nov 23 (Print Publication: 2023). - Publication Year :
- 2022
-
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 PM <subscript>2.5</subscript> , TSP, NO <subscript>2</subscript> , SO <subscript>2</subscript> , O <subscript>3</subscript> , 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 PM <subscript>2.5</subscript> data from this dataset was used to construct an hourly air quality PM <subscript>2.5</subscript> forecasting model in the publication titled "AI-based Air Quality PM <subscript>2.5</subscript> Forecasting Models for Developing Countries: A Case Study of Ho Chi Minh City, Vietnam" by Rakholia et. al. (2022).<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2022 The Authors.)
Details
- Language :
- English
- ISSN :
- 2352-3409
- Volume :
- 46
- Database :
- MEDLINE
- Journal :
- Data in brief
- Publication Type :
- Academic Journal
- Accession number :
- 36478689
- Full Text :
- https://doi.org/10.1016/j.dib.2022.108774