Study the change in air pollution after the COVID-19 outbreak in Thailand
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Abstract
In Thailand, the outbreak of COVID-19 occurred, resulting in a lifestyle change, which could affect the sources of air pollution. This study aims to examine the trend of air pollution changes during COVID-19 in Thailand by air quality measurement data from the ground and satellites, as well as the effect of the traffic volume. From the results, during the normal period, CO, NO2, SO2, PM10 and PM2.5 from the ground station tended to be consistently high (+6.58–56.60%), while satellite data showed that only CO, NO2 and SO2 were likely to be higher (+1.20–29.29%). When entering the first lockdown period, the ground data began to tend to decrease, including NO2 (-10.22%). For the satellite values, there was a similar downward trend, except for the AOD and O3 (+0.94 and +0.79%). For the ‘new normal’ period, all parameters of ground data tended to be consistently lower, as well as that of satellites. Furthermore, as a result of the traffic volume that affected the change in air pollutants, during the first lockdown, CO, NO2, PM10 and PM2.5, tended to decrease in line with the decrease in traffic. However, during the COVID-19 crisis, it was still found that air pollution remained high, because of the summer (March–May) and from the activities on weekdays. Also, in the correlation of ground and satellite measurements, it was found that the only high correlations in the data were the NO2 data (r = 0.74), and the correlations were not high for PM2.5 (r = 0.54), PM10 (r = 0.45), SO2 (r = 0.30), or CO (r = 0.12), and the lowest was O3 (r = -0.40). The values from both stations were different, because there may be other factors involved. The relevant information on dependent variables and variables affecting the measurements should also be included to make the forecast more accurate.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Donzelli G, Cioni L, Cancellieri M, Llopis-Morales A, Morales-Suárez-Varela M. Air quality during Covid-19 lockdown. Encyclopedia. 2021;1(3):519-26.
Hassan M, Bhuiyan MAH, Tareq F, Bodrud-Doza M, Tanu SM, Rabbani KA. Relationship between COVID-19 infection rates and air pollution, geo-meteorological, and social parameters. Environ Monit Assess. 2021;193(1):29.
Wetchayont P. Investigation on the impacts of COVID-19 lockdown and influencing factors on air quality in Greater Bangkok, Thailand. Adv Meteorol. 2021;2021:1-11.
Kaewrat J, Janta R. Effect of COVID-19 prevention measures on air quality in Thailand. Aerosol Air Qual Res. 2021;21(3):200344.
Gautam S. Setu S, Khan MGQ, Khan MB. Analysis of the health, economic and environmental impacts of covid-19: The Bangladesh perspective. Geosys Geoenviron. 2022;1(1):100011.
Singh RP, Chauhan A. Impact of lockdown on air quality in India during COVID-19 pandemic. Air Qual Atmos Health. 2020;13(8):921-8.
Albrecht L, Czarnecki P, Sakelaris B. Investigating the relationship between air quality and COVID-19 transmission. J Data Sci. 2021;19(3):485-97.
Kanniah KD, Kamarul Zaman NAF, Kaskaoutis DG, Latif MT. COVID-19's impact on the 594 atmospheric environment in the Southeast Asia region. Sci Total Environ. 2020;736:139658.
Gautam S, Gollakota ARK. Introduction to the special issue ‘‘environmental impacts of covid-19 pandemic”. Gondwana Res. 2023;114:1-3.
Pollution Control Department. Complete Report: Air quality monitoring and surveillance project (Evaluation of the situation of air quality in Thailand). Bangkok: Pollution Control Department; 2016. (In Thai)
Varotsos C, Christodoulakis J, Kouremadas GA, Fotaki EF. The signature of the coronavirus lockdown in air pollution in Greece. Water Air Soil Pollut. 2021;232(3):119.
AbdelSattar A. Monitoring air pollution using satellite data. Proceedings of the International Conference on Industrial Engineering and Operations Management; 2019 Nov 26-28; Riyadh, Saudi Arabia. p. 772-80.
Adedeji O, Oluwafunmilayo O, Oluwaseun T. Mapping of traffic-related air pollution using GIS techniques in Ijebu-Ode, Nigeria. Indones J Geogr. 2016;48(1):73-83.
Duncan B, Prados A, Lamsal L, Liu Y, Streets D, Gupta P, et al. Satellite data of atmospheric pollution for U.S. air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid. Atmos Environ. 2014;94:647-62.
Hutchison KD. Applications of MODIS satellite data and products for monitoring air quality in the state of Texas. Atmos Environ. 2003;37(17):2403-12.
Mekaumnuaychai T, Suranowarath K, Kanabkaew T, Lalitaporn P. Observations of atmospheric carbon monoxide and formaldehyde in Thailand using satellites. EnvironmentAsia. 2020;13(SI):18-25.
Mongkolphew S, Lalitaporn P. Long-term satellite assessment of particulate matter in Thailand. The 5th EnvironmentAsia International Conference; 2019 Jun 13-15, Chiang Mai, Thailand. p. 12-27.
Lalitaporn P. Temporal and spatial variability of tropospheric NO2 columns retrieved from OMI satellite data and comparison with ground base information in Thailand. Eng Appl Sci Res.2017;44(4):227-34.
Oo TK, Arunrat N, Kongsurakan P, Sereenonchai S, Wang C. Nitrogen Dioxide (NO2) level changes during the control of COVID-19 pandemic in Thailand. Aerosol Air Qual Res. 2021;21(6):200440.
Jia Q. Urban air quality assessment method based on GIS technology. Appl Ecol Environ Res. 2019;17(4):9367-75.
Shakeel M, Arshad Q, Saeed R, Ahmed T, Khan HMT, Noreen M, et al. Application of GIS in visualization and assessment of ambient air quality for SO2 and NOx in Sheikhupura City, Pakistan. J Geogr Nat Disast. 2015;5(3):1-7.
Soleimany A, Grubliauskas R, Šerevičienė V. Application of satellite data and GIS services for studying air pollutants in Lithuania (case study: Kaunas city). Air Qual Atmos Health. 2021;14(3):411-29.
Modis.gsfc.nasa.gov [Internet]. MODIS moderate resolution imaging Spectroradiometer. National Aeronautics and Space Administration (NASA) (Producer) [Cited April 2016]. Available from: https://modis.gsfc.nasa.gov.
Kanabkaew T. Prediction of hourly particulate matter concentrations in Chiangmai, Thailand using MODIS aerosol optical depth and ground-based meteorological data. EnvironmentAsia. 2013;6(2):65-70.
Uttamang P, Aneja V, Hanna A. Assessment of gaseous criteria pollutants in the Bangkok Metropolitan Region, Thailand. Atmos Chem Phys. 2018;18(16):12581-93.
Cichowicz R, Wielgosiński G, Fetter W. Dispersion of atmospheric air pollution in summer and winter season. Environ Monit Assess. 2017;189(12):605.
Kumar A, Raj A, Gupta A, Gautam S, Kumar M, Bherwani H, et al. Pollution free UV-C radiation to mitigate COVID-19 transmission. Gondwana Res. 2023;114:78-86.
Watcharavitoon P, Chio CP, Chan CC. Temporal and spatial variations in ambient air quality during 1996–2009 in Bangkok, Thailand. Aerosol Air Qual Res. 2013;13(6):1741-54.
Gautam S. Covid-19: Air pollution remains low as people stay at home. Air Qual Atmos Health. 2020;13(7):853-7.
Rossi R, Ceccato R, Gastaldi M. Effect of road traffic on air pollution. Experimental evidence from COVID-19 lockdown. Sustainability. 2020;12(21):8984.
Chelani A, Gautam S. Lockdown during COVID-19 pandemic: a case study from Indian cities shows insignificant effects on persistent property of urban air quality. Geosci Front. 2022;13(6):101284.