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Changes in the Distribution of Air Pollutants (Carbon Monoxide) during the Control of the COVID-19 Pandemic in Jakarta, Surabaya, and Yogyakarta, Indonesia

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The condition of the Coronavirus Disease 2019 (COVID-19) pandemic in 2020 characterizing DKI Jakarta, Surabaya, and Yogyakarta Provinces which have a high population density in 2019, necessitates implementing Large-Scale Social Restrictions (LSSR) to control or break the chain of the spread of COVID-19. The LSSR policy that limits community activities, be it business activities, transportation, and the industrial sector, will impact social activities and the environment due to the reduced intensity of community activities. Therefore, this study aimed to determine changes in the carbon monoxide (CO) levels in Jakarta, Surabaya and Yogyakarta during the pre-pandemic and during the pandemic. The method used is the tropospheric CO concentration extracted from the Sentinel-5P satellite data. The CO data were retrieved and calculated using Google Earth Engine. The COVID-19 pandemic reduced CO level by 19.7%, 14.9%, and 21%, respectively. The paired t-test shows no significant difference from before the COVID-19 pandemic, with a significance of 0.05. The highest pre-pandemic average and total CO concentration levels were 0.042 and 1.0198 mol/m2 in Yogyakarta, respectively, whereas the lowest during the pandemic were 0.02845 and 0.6828 mol/m2 in Surabaya. Overall, the three cities have a weak relationship between CO level and precipitation as well as temperatures and CO level.
Słowa kluczowe
Rocznik
Strony
151--162
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
  • Department of Environmental Sciences, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126 Indonesia
  • Department of Civil Engineering, Faculty of Engineering, Universitas Sebelas Maret, Surakarta, 57126 Indonesia
  • Department of Environmental Sciences, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126 Indonesia
  • Department of Environmental Sciences, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126 Indonesia
  • Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126 Indonesia
autor
  • Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126 Indonesia
  • Department of Environmental Engineering, Faculty of Infrastructure Planning, Universitas Pertamina, Komplek Universitas Pertamina, Jalan Sinabung II, Terusan Simprug, Jakarta, 12220, Indonesia
  • Department of Environmental Engineering, Faculty of Infrastructure Planning, Universitas Pertamina, Komplek Universitas Pertamina, Jalan Sinabung II, Terusan Simprug, Jakarta, 12220, Indonesia
  • Department of Civil Engineering, Universitas Negeri Medan, Medan, Indonesia
Bibliografia
  • 1. Dede, M., Widiawaty, M.A., Nurhanifah, N., Ismail, A., Artati, A.R.P., Ati, A., Ramadhan, Y.R. 2020. Estimasi Perubahan Kualitas Udara Berbasis Citra Satelit Penginderaan Jauh Di Sekitar PLTU Cirebon. Jambura Geoscience Review, 2(2), 78–87. https://doi.org/10.34312/jgeosrev.v2i2.5951
  • 2. Fan, H., Wang, Y., Zhao, C., Yang, Y., Yang, X., Sun, Y., Jiang, S. 2021. The Role of Primary Emission and Transboundary Transport in the Air Quality Changes During and After the COVID-19 Lockdown in China. Geophysical Research Letters, 48(7), e2020GL091065. https://doi.org/https://doi.org/10.1029/2020GL091065
  • 3. Garrett, T., Zhao, C., Novelli, P. 2010. Assessing the relative contributions of transport efficiency and scavenging to seasonal variability in Arctic aerosol. Tellus B: Chemical and Physical Meteorology, 62(3), 190–196. https://doi.org/10.1111/j.1600-0889.2010.00453.x
  • 4. Gautam, S. 2020. COVID-19: air pollution remains low as people stay at home. Air Quality, Atmosphere & Health, 13(7), 853–857. https://doi.org/10.1007/s11869-020-00842-6
  • 5. Ghude, S.D., Van der A.R.J., Beig, G., Fadnavis, S., Polade, S.D. 2009. Satellite derived trends in NO2 over the major global hotspot regions during the past decade and their inter-comparison. Environmental Pollution, 157(6), 1873–1878. https://doi.org/https://doi.org/10.1016/j.envpol.2009.01.013
  • 6. Gkatzelis, G.I., Gilman, J.B., Brown, S.S., Eskes, H., Gomes, A.R., Lange, A.C., McDonald, B.C., Peischl, J., Petzold, A., Thompson, C.R., Kiendler-Scharr, A. 2021. The global impacts of COVID-19 lockdowns on urban air pollution: A critical review and recommendations. Elementa: Science of the Anthropocene, 9(1), 176. https://doi.org/10.1525/elementa.2021.00176
  • 7. Indriyaningtyas, S., Hasandy, L.R., Dewantoro, B.E.B. 2021. Dinamika konsentrasi emisi gas karbon monoksida (CO) selama periode psbb menggunakan komputasi berbasis cloud pada google earth engine Studi Kasus di Provinsi DKI Jakarta, Indonesia. Majalah Ilmiah Globe, 23(1), 35. https://doi.org/10.24895/mig.2021.23-1.1258
  • 8. Karner, A.A., Eisinger, D.S., Niemeier, D.A. 2010. Near-Roadway Air Quality: Synthesizing the Findings from Real-World Data. Environmental Science & Technology, 44(14), 5334–5344. https://doi.org/10.1021/es100008x
  • 9. Kumar, P., Hama, S., Omidvarborna, H., Sharma, A., Sahani, J., Abhijith, K.V., Debele, S.E., Zavala- Reyes, J.C., Barwise, Y., Tiwari, A. 2020. Temporary reduction in fine particulate matter due to ‘anthropogenic emissions switch-off’ during COVID-19 lockdown in Indian cities. Sustainable Cities and Society, 62, 102382. https://doi.org/https://doi.org/10.1016/j.scs.2020.102382
  • 10. Lin, J., Lin, C., Tao, M., Ma, J., Fan, L., Xu, R.-A., Fang, C. 2021. Spatial Disparity of Meteorological Impacts on Carbon Monoxide Pollution in China during the COVID-19 Lockdown Period. ACS Earth and Space Chemistry, 5(10), 2900–2909. https://doi.org/10.1021/acsearthspacechem.1c00251
  • 11. Lin, S., Wei, D., Sun, Y., Chen, K., Yang, L., Liu, B., Huang, Q., Paoliello, M.M.B., Li, H., Wu, S. 2020. Region-specific air pollutants and meteorological parameters influence COVID-19: A study from mainland China. Ecotoxicology and Environmental Safety, 204, 111035. https://doi.org/https://doi.org/10.1016/j.ecoenv.2020.111035
  • 12. Nakada, L.Y.K., Urban, R.C. 2020. COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state, Brazil. Science of The Total Environment, 730, 139087. https://doi.org/https://doi.org/10.1016/j.scitotenv.2020.139087
  • 13. Oo, T.K., Arunrat, N., Kongsurakan, P., Sereenonchai, S., Wang, C. 2021. Nitrogen dioxide (No2) level changes during the control of covid-19 pandemic in Thailand. Aerosol and Air Quality Research, 21(6), 1–27. https://doi.org/10.4209/aaqr.200440
  • 14. Paital, B., Das, K., Parida, S.K. 2020. Inter nation social lockdown versus medical care against COVID-19, a mild environmental insight with special reference to India. Science of The Total Environment, 728, 138914. https://doi.org/https://doi.org/10.1016/j.scitotenv.2020.138914
  • 15. Pathakoti, M., Muppalla, A., Hazra, S., Venkata, D.M., LakshmiK.A., SagarV.K., Shekhar, R., Jella, S., Rama, S.S.M.V., Vijayasundaram, U. 2021. Measurement report: An assessment of the impact of a nationwide lockdown on air pollution - a remote sensing perspective over India. Atmospheric Chemistry and Physics, 21(11), 9047–9064. https://doi.org/10.5194/acp-21-9047-2021
  • 16. Sari, M.M., Septiariva, I.Y., Istanabi, T., Suhardono, S., Sianipar, I.M.J., Tehupeiory, A., Suryawan, I.W.K. 2023. Comparison of Solid Waste Generation During and Before Pandemic Covid-19 in Indonesia Border Island (Riau Islands Province, Indonesia). Ecological Engineering and Environmental Technology, 24(2), 251–260. https://doi.org/10.12912/27197050/157170
  • 17. Sari, M.M., Septiariva, I.Y., Suryawan, I.W.K. 2022. Correlation of Changes in Waste Generation in the Year Before and During the Pandemic in Surakarta City. Journal of Environmental Management and Tourism, 13(3). https://doi.org/10.14505/jemt.v13.3(59).08
  • 18. Septiariva, I.Y., Suryawan, I.W.K. 2021. Development of water quality index (WQI) and hydrogen sulfide (H2S) for assessment around suwung land-fill, Bali Island. Journal of Sustainability Science and Management, 16(4), 137–148.
  • 19. Suradi, H., Khan, M.F., Alias, N.F., Mustapa Kama Shah, S., Yusoff, S., Fujii, Y., Othman, M., Latif, M.T. 2021. Influence of Tropical Weather and North-easterly Air Mass on Carbonaceous Aerosol in the Southern Malay Peninsula. ACS Earth and Space Chemistry, 5(3), 553–565. https://doi.org/10.1021/acsearthspacechem.0c00319
  • 20. Suryawan, I.W.K., Rahman, A., Septiariva, I.Y., Suhardono, S., Wijaya, I.M.W. 2021. Life Cycle Assessment of Solid Waste Generation During and Before Pandemic of Covid-19 in Bali Province. Journal of Sustainability Science and Management, 16(1), 11–21. https://doi.org/10.46754/jssm.2021.01.002
  • 21. Tai, A.P.K., Mickley, L.J., Jacob, D.J. 2010. Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change. Atmospheric Environment, 44(32), 3976–3984. https://doi.org/https://doi.org/10.1016/j.atmosenv.2010.06.060
  • 22. Whitworth, J. 2020. COVID-19: a fast evolving pandemic. Transactions of the Royal Society of Tropical Medicine and Hygiene, 114(4), 241–248. https://doi.org/10.1093/trstmh/traa025
  • 23. Wu, L., Wang, R. 2005. Carbon Monoxide: Endogenous Production, Physiological Functions, and Pharmacological Applications. Pharmacological Reviews, 57(4), 585LP–630. https://doi.org/10.1124/pr.57.4.3
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4c921130-305a-433c-9d18-d8f6b882da1f
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