Special Issue on COVID-19 Aerosol Drivers, Impacts and Mitigation (XI)

Jenjira Kaewrat1,2, Rungruang Janta This email address is being protected from spambots. You need JavaScript enabled to view it.1,2

1 School of Languages and General Education, Walailak University, Nakhon Si Thammarat, 80160, Thailand
Center of Excellence in Sustainable Disaster Management, Walailak University, Nakhon Si Thammarat, 80160, Thailand

Received: June 25, 2020
Revised: November 12, 2020
Accepted: November 15, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.4209/aaqr.2020.06.0344  

Cite this article:

Kaewrat, J., Janta, R. (2021). Effect of COVID-19 Prevention Measures on Air Quality in Thailand. Aerosol Air Qual. Res. 21, 200344. https://doi.org/10.4209/aaqr.2020.06.0344


  • Air quality improved during restricted human activity, except in Northern Thailand.
  • Traffic-related pollutants reduced as a result of COVID-19 prevention measures.
  • Ozone levels were influenced by the main sources of its precursor. 


The coronavirus disease 2019 (COVID-19) has been a global pandemic since early 2020. In Thailand, the number of cases increased exponentially from the middle of March 2020. In response, Thailand’s government has imposed various pandemic prevention measures, such as a rigorous stay-at-home measure to reduce viral transmission between humans. Many human activities ceased, such as transportation, businesses, and services. This has been associated with reductions in air pollutant emissions. This study thus aimed to measure air quality in metropolitan, industrial, and suburban cities of in Thailand. Data on the hourly concentrations of six criteria pollutants were obtained from Thailand’s Pollution Control Department from five stations during three measurement periods: pre-COVID, early COVID, and working-from-home (WFH) periods. The results indicated that vehicle-emitted pollutants had significantly decreased during WFH periods. Moreover, the air quality of all city types ostensibly improved (50%–70%) because of reduced transportation in Thailand’s central and eastern provinces. However, results for Northern provinces were unclear because PM2.5 concentrations were still high during WFH period due to effects from open burning activity as well as meteorological condition.

Keywords: Coronavirus, Air quality index, Criteria pollutants, Potential source contribution function

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