Monitoring the impact of the Corona pandemic on nitrogen dioxide emissions at large scales via Google Earth Engine

Nuri Erkin Öçer; Dilek Küçük Matcı; Uğur Avdan

doi:10.3986/AGS.13454

Avtorji

Nuri Erkin Öçer Eskisehir Technical University, Earth and Space Sciences Institute, Eskisehir, Turkey https://orcid.org/0000-0001-7404-7686
Dilek Küçük Matcı Eskisehir Technical University, Earth and Space Sciences Institute, Eskisehir, Turkey https://orcid.org/0000-0002-4078-8782
Uğur Avdan Eskisehir Technical University, Earth and Space Sciences Institute, Eskisehir, Turkey https://orcid.org/0000-0001-7873-9874

DOI:

https://doi.org/10.3986/AGS.13454

Ključne besede:

daljinsko zaznavanje, opazovanje Zemlje, Sentinel-5P, troposferski NO2, Google Earth Engine, indeks človekovega razvoja

Povzetek

Napredek v zmogljivostih opazovanja Zemlje in večja dostopnost podatkov omogočata spremljanje onesnaženosti zraka na svetovni ravni. Google Earth Engine (GEE) omogoča učinkovito izvajanje takšnih obsežnih raziskav. Ta članek z uporabo GEE preučuje vpliv pandemije covida-19 na emisije NO₂ na različnih nadnacionalnih ravneh, s posebnim upoštevanjem indeksa človekovega razvoja v državah. V prvih treh mesecih leta 2020 je prišlo do zmanjšanja za več kot 4 % na mesec, kar kaže, da pri globalnem zmanjšanju ravni NO₂ niso bile učinkovite le omejitve in zaprtja, ki so jih uvedle vlade, temveč tudi prostovoljne omejitve, ki so jih ljudje uvedli za lastno mobilnost z motivom zaščite pred pandemijo.

Prenosi

Podatki o prenosih še niso na voljo.

Literatura

Ataey, A., Jafarvand, E., Adham, D., Moradi-Asl, E. 2020: The relationship between obesity, overweight, and the human development index in world health organization eastern mediterranean region countries. Journal of Preventive Medicine and Public Health 53-2. https://doi.org/10.3961/jpmph.19.100 DOI: https://doi.org/10.3961/jpmph.19.100

Avdan, U., Kaplan, G., Avdan, Z., Matcı, D., Erdem, F., Mızık, E., Ozudogru, I. 2021: Comparison of remote sensing soil electrical conductivity from planetscope and ground measured data in wheat and beet yields. Biology and Life Sciences Forum 3-1. https://doi.org/10.3390/IECAG2021-09741 DOI: https://doi.org/10.3390/IECAG2021-09741

Bacak, T., Dursun, Ş., Toros, H. 2020: The effect of COVID-19 outbreak on air quality of Istanbul city centre. Journal of Research in Atmospheric Science 2-1.

Brezina, T., Tiran, J., Ogrin, M., Laa, B. 2021: COVID-19 impact on daily mobility in Slovenia. Acta geographica Slovenica 61-2. https://doi.org/10.3986/AGS.9390 DOI: https://doi.org/10.3986/AGS.9390

Cooper, M., Martin, R., Hammer, M., Levelt, P., Veefkind, P., Lamsal, L., Krotkov, N. A. et al. 2022: Global fine-scale changes in ambient NO2 during COVID-19 lockdowns. Nature 601. https://doi.org/10.1038/s41586-021-04229-0 DOI: https://doi.org/10.1038/s41586-021-04229-0

Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., Webster, S. et al. 2021: A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour 5-4. https://doi.org/10.1038/s41562-021-01079-8 DOI: https://doi.org/10.1038/s41562-021-01079-8

Isaifan, R. 2020: The dramatic impact of Coronavirus outbreak on air quality: Has it saved as much as it has killed so far? Global Journal of Environmental Science and Management 6-3. https://doi.org/10.22034/gjesm.2020.03.01

Jalayer, S., Sharifi, A., Abbasi-Moghadam, D., Tariq, A., Qin, S. 2023: Assessment of spatiotemporal characteristic of droughts using in situ and remote sensing-based drought indices. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16. https://doi.org/10.1109/JSTARS.2023.3237380 DOI: https://doi.org/10.1109/JSTARS.2023.3237380

Karuppasamy, M., Seshachalam, S., Natesan, U., Ayyamperumal, R., Karuppannan, S., Gopalakrishnan, G., Nazir, N. 2020: Air pollution improvement and mortality rate during COVID-19 pandemic in India: global intersectional study. Air Quality, Atmosphere & Health 13-11. https://doi.org/10.1007/s11869-020-00892-w DOI: https://doi.org/10.1007/s11869-020-00892-w

Kumar, L., Mutanga, O. 2019: Google Earth Engine applications. MDPI. https://doi.org/10.3390/books978-3-03897-885-5 DOI: https://doi.org/10.3390/rs11050591

Kuruca, M., Matci, D., Uğur, A. 2021: The potential of Göktürk 2 satellite images for mapping burnt forest areas. Turkish Journal of Agriculture and Forestry 45-1. https://doi.org/10.3906/tar-2001-79 DOI: https://doi.org/10.3906/tar-2001-79

Li, Y., Li, M., Rice, M., Yang, C. 2022: Impact of COVID-19 containment and closure policies on tropospheric nitrogen dioxide: A global perspective. Environment International 158. https://doi.org/10.1016/j.envint.2021.106887 DOI: https://doi.org/10.1016/j.envint.2021.106887

Lian, X., Huang, J., Huang, R., Liu, C., Wang, L., Zhang, T. 2020: Impact of city lockdown on the air quality of COVID-19-hit of Wuhan city. Science of the Total Environment 742. https://doi.org/10.1016/j.scitotenv.2020.140556 DOI: https://doi.org/10.1016/j.scitotenv.2020.140556

Long, X., Yu, H., Sun, M., Wang, X., Klemeš, J., Xie, W., Wang, C. et al. 2020: Sustainability evaluation based on the Three-dimensional Ecological Footprint and Human Development Index: A case study on the four island regions in China. Journal of Environmental Management 265. https://doi.org/10.1016/j.jenvman.2020.110509 DOI: https://doi.org/10.1016/j.jenvman.2020.110509

Matci, D., Avdan, U. 2020: Comparative analysis of unsupervised classification methods for mapping burned forest areas. Arabian Journal of Geosciences 13-15. https://doi.org/10.1007/s12517-020-05670-7 DOI: https://doi.org/10.1007/s12517-020-05670-7

Matci, D., Comert, R., Avdan, U. 2020: Comparison of tree-based classificatıon algorıthms in mapping burned forest areas. Geodetski vestnik 64-3. https://doi.org/10.15292/geodetski-vestnik.2020.03.348-360 DOI: https://doi.org/10.15292/geodetski-vestnik.2020.03.348-360

Nejad, S., Abbasi-Moghadam, D., Sharifi, A., Farmonov, N., Amankulova, K., Lászlź, M. 2022: Multispectral crop yield prediction using 3D-convolutional neural networks and attention convolutional LSTM approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16. https://doi.org/10.1109/JSTARS.2022.3223423 DOI: https://doi.org/10.1109/JSTARS.2022.3223423

Nemati, M., Ebrahimi, B., Nemati, F. 2020: Assessment of Iranian nurses’ knowledge and anxiety toward COVID-19 during the current outbreak in Iran. Archives of Clinical Infectious Diseases 15. https://doi.org/10.5812/archcid.102848 DOI: https://doi.org/10.5812/archcid.102848

Nghia, B., Pal, I., Chollacoop, N., Mukhopadhyay, A. 2022: Applying Google Earth Engine for flood mapping and monitoring in the downstream provinces of Mekong river. Progress in Disaster Science 14. https://doi.org/10.1016/j.pdisas.2022.100235 DOI: https://doi.org/10.1016/j.pdisas.2022.100235

Otmani, A., Benchrif, A., Tahri, M., Bounakhla, M., El Bouch, M., Krombi, M. 2020: Impact of COVID-19 lockdown on PM10, SO2 and NO2 concentrations in Salé city (Morocco). Science of the Total Environment 735. https://doi.org/10.1016/j.scitotenv.2020.139541 DOI: https://doi.org/10.1016/j.scitotenv.2020.139541

Praticò, S., Solano, F., Di Fazio, S., Modica, G. 2021: Machine learning classification of Mediterranean forest habitats in Google Earth Engine based on seasonal Sentinel-2 time-series and input image composition optimisation. Remote Sensing 13-4. https://doi.org/10.3390/rs13040586 DOI: https://doi.org/10.3390/rs13040586

Saha, L., Kumar, A., Kumar, S., Korstad, J., Srivastava, S., Bauddh, K. 2022: The impact of the COVID-19 lockdown on global air quality: A review. Environmental Sustainability 5-1. https://doi.org/10.1007/s42398-021-00213-6 DOI: https://doi.org/10.1007/s42398-021-00213-6

Sannigrahi, S., Kumar, P., Molter, A., Zhang, Q., Basu, B., Basu, A., Pilla, F. 2021: Examining the status of improved air quality in world cities due to COVID-19 led temporary reduction in anthropogenic emissions. Environmental research 196. https://doi.org/10.1016/j.envres.2021.110927 DOI: https://doi.org/10.1016/j.envres.2021.110927

Sarkodie, S., Adams, S. 2020: Electricity access, human development index, governance and income inequality in Sub-Saharan africa. Energy Reports 6. https://doi.org/10.1016/j.egyr.2020.02.009 DOI: https://doi.org/10.1016/j.egyr.2020.02.009

Sharifi, A., Felegari, S. 2022: Nitrogen dioxide (NO2) pollution monitoring with Sentinel-5P satellite imagery over during the coronavirus pandemic (case study: Tehran). Remote Sensing Letters 13-10. https://doi.org/10.1080/2150704X.2022.2120780 DOI: https://doi.org/10.1080/2150704X.2022.2120780

Singh, R., Chauhan, A. 2020: Impact of lockdown on air quality in India during COVID-19 pandemic. Air Quality, Atmosphere & Health 13-8. https://doi.org/10.1007/s11869-020-00863-1 DOI: https://doi.org/10.1007/s11869-020-00863-1

Tobías, A., Carnerero, C., Reche, C., Massagué, J., Via, M., Minguillón, M., Alastuey, A. et al. 2020: Changes in air quality during the lockdown in Barcelona (Spain) one month into the SARS-CoV-2 epidemic. Science of the total environment 726. https://doi.org/10.1016/j.scitotenv.2020.138540 DOI: https://doi.org/10.1016/j.scitotenv.2020.138540

Tok, E., Kaya, S. 2014: Monitoring components of urban environment using vegetation-impervious-soil model and remotely sensed data. Journal of Environmental Protection and Ecology 15-4.

Verhoelst, T., Compernolle, S., Pinardi, G., Lambert, J., Eskes, H., Eichmann, K., Fjæraa, A. et al. 2020: Ground-based validation of the copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks. Atmospheric Measurement Techniques Discussions 14-1. https://doi.org/10.5194/amt-14-481-2021 DOI: https://doi.org/10.5194/amt-14-481-2021

Waleed, M., Sajjad, M., Shazil, M., Tariq, M., Alam, M. 2023: Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022). Ecological Informatics 75. https://doi.org/10.1016/j.ecoinf.2023.102075 DOI: https://doi.org/10.1016/j.ecoinf.2023.102075

Xiong, J., Thenkabail, P., Gumma, M., Teluguntla, P., Poehnelt, J., Congalton, R., Yadav, K. et al. 2017: Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS Journal of Photogrammetry and Remote Sensing 126. https://doi.org/10.1016/j.isprsjprs.2017.01.019 DOI: https://doi.org/10.1016/j.isprsjprs.2017.01.019

Zhang, H., Lin, Y., Wei, S., Loo, B., Lai, P., Lam, Y., Wan, L. et al. 2021: Global association between satellite-derived nitrogen dioxide (NO2) and lockdown policies under the COVID-19 pandemic. Science of The Total Environment 761. https://doi.org/10.1016/j.scitotenv.2020.144148 DOI: https://doi.org/10.1016/j.scitotenv.2020.144148

Zhe, W. 2018: Remote sensing estimation of daily average temperature in northwestern China based on advanced microwave scanning radiometer for the Earth observing system. Journal of Environmental Protection and Ecology 19-3