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Veränderung der NO2-Säulenkonzentrationen in typischen Gebieten weltweit während der Epidemie der neuen Coronavirus-Pneumonie, festgestellt durch EMI GF-5

  • role： First author第一作者
  • Affiliation：

    China Centre for Resources Satellite Data and Application, Beijing 100094, China

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

  • Email：chenglx@radi.ac.cn
  • Introduction：程良晓，研究方向为大气环境遥感。E-mail：chenglx@radi.ac.cn
CHENG Liangxiao12,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

  • Email：taojh@aircas.ac.cn
  • Introduction：陶金花，研究方向为大气遥感反演方法研究和应用。E-mail：taojh@aircas.ac.cn
TAO Jinhua2*,  
  • Affiliation：

    Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center(National Center for Space Weather), China Meteorological Administration, Beijing 100081, China

    Innovation Center for FengYun Meteorological Satellite (FYSIC), China Meteorological Administration, Beijing 100081, China

WANG Yapeng34,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

YU Chao2,  
  • Affiliation：

    China Centre for Resources Satellite Data and Application, Beijing 100094, China

LIN Jun1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

CHEN Liangfu25

Resümee

Der chinesische Satellit GF-5 („High Resolution-5“) trägt ein Differential-Absorptions-Spektrometer für die Spurengaserkennung (EMI), welches die erste hochspektrale Nutzlast für die Erkennung von Spurengasen in der Atmosphäre ist. In dieser Studie wurden erstmals die Ergebnisse der NO2-Beobachtungen durch EMI in typischen NO2-verschmutzten Gebieten während der Epidemie der neuen Coronavirus-Pneumonie analysiert. Die Ergebnisse zeigen, dass die EMI-Nutzlast einen deutlichen Rückgang der NO2-Säulenkonzentrationen in den Monaten Januar bis März 2020 in vielen Gebieten Chinas (-13,6%), Europas (-10,2%), des Irans (-7,9%) und Südkoreas (-13 %) aufzeichnete. Sowohl im Vergleich vor und nach dem Lockdown im selben Jahr als auch im Vergleich während des Lockdowns 2020 mit dem gleichen Zeitraum in 2019 zeigen die EMI-Beobachtungen eine deutliche Abnahme der NO2-Säulenkonzentrationen. Die Hauptursache für den Rückgang der NO2-Säulenkonzentrationen während der Epidemie war die signifikante Reduzierung der Verkehrsemissionen und industriellen Aktivitäten aufgrund der ergriffenen Restriktionsmaßnahmen. Die Korrelation zwischen den EMI-Beobachtungen zu den NO2-Säulenkonzentrationen und den Ergebnissen ähnlicher internationaler OMI- und TROPOMI-Beobachtungen übersteigt 0,97. Die durchschnittlichen relativen Unterschiede auf regionaler und städtischer Ebene zwischen den EMI-Beobachtungen und OMI- und TROPOMI-Beobachtungen liegen jeweils unter 13 % und 9 %. Die Ergebnisse dieser Studie spiegeln die Fähigkeit und den tatsächlichen Anwendungswert von EMI im Monitoring von Veränderungen der NO2-Verschmutzung auf globaler Ebene wider und dienen als Referenz für die Entwicklung und praktische Anwendung von Nutzlasten für die Erkennung von Spurengasen in China.

Schlüsselwort

Fernerkundung; GF-5; EMI; OMI; TROPOMI; NO2-Inversion; Epidemie des neuen Coronavirus; Reduktion von NO2-Emissionen

References

  1. 1.
    Bauwens M, Compernolle S, Stavrakou T, Müller J F, van Gent J, Eskes H, Levelt P F, van der A R, Veefkind J P, Vlietinck J, Yu H and Zehner C. 2020. Impact of coronavirus outbreak on NO2 pollution assessed using TROPOMI and OMI observations. Geophysical Research Letters, 47(11): e2020GL087978
  2. 2.
    Beirle S, Hörmann C, Jöckel P, Liu S, de Vries M P, Pozzer A, Sihler H, Valks P and Wagner T. 2016. The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution. Atmospheric Measurement Techniques, 9(7): 2753-2779
  3. 3.
    Boersma K F, Eskes H J and Brinksma E J. 2004. Error analysis for tropospheric NO2 retrieval from space. Journal of Geophysical Research: Atmospheres, 109(D4): D04311
  4. 4.
    Broomandi P, Karaca F, Nikfal A, Jahanbakhshi A, Tamjidi M and Kim J R. 2020. Impact of COVID-19 event on the air quality in iran. Aerosol and Air Quality Research, 20(8): 1793-1804
  5. 5.
    Bucsela E J, Krotkov N A, Celarier E A, Lamsal L N, Swartz W H, Bhartia P K, Boersma K F, Veefkind J P, Gleason J F and Pickering K E. 2013. A new stratospheric and tropospheric NO2 retrieval algorithm for nadir-viewing satellite instruments: applications to OMI. Atmospheric Measurement Techniques, 6(10): 2607-2626
  6. 6.
    Burrows J P, Weber M, Buchwitz M, Rozanov V, Ladstätter-Weiβenmayer A, Richter A, DeBeek R, Hoogen R, Bramstedt K, Eichmann K U, Eisinger M and Perner D. 1999. The global ozone monitoring experiment (GOME): mission concept and first scientific results. Journal of the Atmospheric Sciences, 56(2): 151-175
  7. 7.
    Cheng L X, Tao J H, Valks P, Yu C, Liu S, Wang Y P, Xiong X Z, Wang Z F and Chen L F. 2019. NO2 retrieval from the environmental trace gases monitoring instrument (EMI): preliminary results and intercomparison with OMI and TROPOMI. Remote Sensing, 11(24): 3017
  8. 8.
    Cheng L X, Tao J H, Yu C, Zhang Y, Fan M, Wang Y P, Chen Y L, Zhu L L, Gu J B and Chen L F. 2021a. Tropospheric NO2 column density retrieval from the GF-5 EMI data. National Remote Sensing Bulletin, 25(11): 2313-2325
  9. 9.
    Cheng L X, Tao J H, Zhou H J, Yu C, Fan M, Wang Y P, Wang Z B and Chen L F. 2021b. Evaluations of environmental trace gases monitoring instrument (EMI) level 1 data. Spectroscopy and Spectral Analysis, 41(12): 3881-3886
  10. 10.
    Choi S, Lamsal L N, Follette-Cook M, Joiner J, Krotkov N A, Swartz W H, Pickering K E, Loughner C P, Appel W, Pfister G, Saide P E, Cohen R C, Weinheimer A J and Herman J R. 2020. Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns. Atmospheric Measurement Techniques, 13(5): 2523-2546
  11. 11.
    Georgoulias A K, van der A R J, Stammes P, Boersma K F and Eskes H J. 2019. Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations. Atmospheric Chemistry and Physics, 19(9): 6269-6294
  12. 12.
    Griffin D, Zhao X Y, McLinden C A, Boersma F, Bourassa A, Dammers E, Degenstein D, Eskes H, Fehr L, Fioletov V, Hayden K, Kharol S K, Li S M, Makar P, Martin R V, Mihele C, Mittermeier R L, Krotkov N, Sneep M, Lamsal L N, Linden M T, Geffen J V, Veefkind P and Wolde M. 2019. High-resolution mapping of nitrogen dioxide with TROPOMI: first results and validation over the canadian oil sands. Geophysical Research Letters, 46(2): 1049-1060
  13. 13.
    Ju M J, Oh J and Choi Y H. 2021. Changes in air pollution levels after COVID-19 outbreak in Korea. Science of the Total Environment, 750: 141521
  14. 14.
    Kanniah K D, Zaman N A F K, Kaskaoutis D G and Latif M T. 2020. COVID-19’s impact on the atmospheric environment in the Southeast Asia region. Science of the Total Environment, 736: 139658
  15. 15.
    Karaer A, Balafkan N, Gazzea M, Arghandeh R and Ozguven E E. 2020. Analyzing COVID-19 impacts on vehicle travels and daily nitrogen dioxide (NO2) levels among florida counties. Energies, 13(22): 6044
  16. 16.
    Levelt P F, Joiner J, Tamminen J, Veefkind J P, Bhartia P K, Zweers D C S, Duncan B N, Streets D G, Eskes H, Van Der A R, McLinden C, Fioletov V, Carn S, De Laat J, DeLand M, Marchenko S, McPeters R, Ziemke J, Fu D J, Liu X, Pickering K, Apituley A, Abad G G, Arola A, Boersma F, Miller C C, Chance K, De Graaf M, Hakkarainen J, Hassinen S, Ialongo I, Kleipool Q, Krotkov N, Li C, Lamsal L, Newman P, Nowlan C, Suleiman R, Tilstra L G, Torres O, Wang H Q and Wargan K. 2018. The Ozone Monitoring Instrument: overview of 14 years in space. Atmospheric Chemistry and Physics, 18(8): 5699-5745
  17. 17.
    Liu H R, Liu C, Xie Z Q, Li Y, Huang X, Wang S S, Xu J and Xie P H. 2016. A paradox for air pollution controlling in China revealed by “APEC Blue” and “Parade Blue”. Scientific Reports, 6: 34408
  18. 18.
    Marchenko S, Krotkov N A, Lamsal L N, Celarier E A, Swartz W H and Bucsela E J. 2015. Revising the slant column density retrieval of nitrogen dioxide observed by the Ozone Monitoring Instrument. Journal of Geophysical Research: Atmospheres, 120(11): 5670-5692
  19. 19.
    Metya A, Dagupta P, Halder S, Chakraborty S and Tiwari Y K. 2020. COVID-19 lockdowns improve air quality in the South-East Asian regions, as seen by the remote sensing satellites. Aerosol and Air Quality Research, 20(8): 1772-1782
  20. 20.
    Mijling B, van der A R J, Boersma K F, Van Roozendael M, De Smedt I and Kelder H M. 2009. Reductions of NO2 detected from space during the 2008 Beijing Olympic Games. Geophysical Research Letters, 36(13): L13801
  21. 21.
    Qian Y Y, Luo Y H, Si F Q, Zhou H J, Yang T P, Yang D S and Xi L. 2021. Total ozone columns from the environmental trace gases monitoring instrument (EMI) using the DOAS method. Remote Sensing, 13(11): 2098
  22. 22.
    Siddiqui A, Halder S, Chauhan P and Kumar P. 2020. COVID-19 pandemic and city-level nitrogen dioxide (NO2) reduction for urban centres of India. Journal of the Indian Society of Remote Sensing, 48(7): 999-1006
  23. 23.
    Sillman S, Logan J A and Wofsy S C. 1990. The sensitivity of ozone to nitrogen oxides and hydrocarbons in regional ozone episodes. Journal of Geophysical Research: Atmospheres, 95(D2): 1837-1851
  24. 24.
    Tan P H, Chou C, Liang J Y, Chou C C K and Shiu C J. 2009. Air pollution “holiday effect” resulting from the Chinese New Year. Atmospheric Environment, 43(13): 2114-2124
  25. 25.
    Tao J H, Fan M, Gu J B and Chen L F. 2020. Satellite observations of the return-to-work over China during the period of COVID-19. National Remote Sensing Bulletin, 24(7): 824-836
  26. 26.
    Tian H Y, Liu Y H, Li Y D, Wu C H, Chen B, Kraemer M U G, Li B Y, Cai J, Xu B, Yang Q Q, Wang B, Yang P, Cui Y J, Song Y M, Zheng P, Wang Q Y, Bjornstad O N, Yang R F, Grenfell B T, Pybus O G and Dye C. 2020. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science, 368(6491): 638-642
  27. 27.
    van Geffen J H G M, Boersma K F, Van Roozendael M, Hendrick F, Mahieu E, De Smedt I, Sneep M and Veefkind J P. 2015. Improved spectral fitting of nitrogen dioxide from OMI in the 405-465 nm window. Atmospheric Measurement Techniques, 8(4): 1685-1699
  28. 28.
    van Geffen J H G M, Eskes H J, Boersma K F, Veefkind J P. 2018. TROPOMI ATBD of the total and tropospheric NO2 data products. In. De Bilt, the Netherlands: Royal Netherlands Meteorological Institute (KNMI).
  29. 29.
    Veefkind J P, Aben I, McMullan K, Förster H, de Vries J, Otter G, Claas J, Eskes H J, De Haan J F, Kleipool Q, Van Weele M, Hasekamp O, Hoogeveen R, Landgraf J, Snel R, Tol P, Ingmann P, Voors R, Kruizinga B, Vink R, Visser H and Levelt P F. 2012. TROPOMI on the ESA Sentinel-5 Precursor: a GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applications. Remote Sensing of Environment, 120: 70-83
  30. 30.
    Virghileanu M, Săvulescu I, Mihai B A, Nistor C and Dobre R. 2020. Nitrogen dioxide (NO2) pollution monitoring with Sentinel-5P satellite imagery over europe during the coronavirus pandemic outbreak. Remote Sensing, 12(21): 3575
  31. 31.
    Wang X H, Xu Y Z, Zhang C X, Wu Y, Sun Z P and Liu C. 2021. Spatial-temporal variation of tropospheric NO2 concentration in Pearl River Delta based on EMI observations. Journal of Atmospheric and Environmental Optics, 16(3): 197-206
  32. 32.
    Wang X Y and Zhang R H. 2020. How did air pollution change during the COVID-19 outbreak in China?. Bulletin of the American Meteorological Society, 101(10): E1645-E1652
  33. 33.
    Wang Y P, Tao J H, Cheng L X, Yu C, Fan M, Zhang Y, Chen Y L, Zhu L L, Gu J B and Chen L F. 2021. Feasibility analysis and preliminary results of formaldehyde retrieval based on environmental trace gases monitoring instrument onboard GF-5 satellite. National Remote Sensing Bulletin, 25(10): 2040-2052
  34. 34.
    Wang Z, Uno I, Yumimoto K, Itahashi S, Chen X S, Yang W Y and Wang Z F. 2021. Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO2 variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations. Atmospheric Environment, 244: 117972
  35. 35.
    Witte J C, Schoeberl M R, Douglass A R, Gleason J F, Krotkov N A, Gille J C, Pickering K E and Livesey N. 2009. Satellite observations of changes in air quality during the 2008 Beijing Olympics and Paralympics. Geophysical Research Letters, 36(17): L17803
  36. 36.
    Xia C Z, Liu C, Cai Z N, Zhao F, Su W J, Zhang C X and Liu Y. 2021. First sulfur dioxide observations from the environmental trace gases monitoring instrument (EMI) onboard the GeoFen-5 satellite. Science Bulletin, 66(10): 969-973
  37. 37.
    Yan H H, Wang W H and Zhang X Y. 2019. Ozone column retrieved from GF-5 satellite environmental trace gas monitoring instrument. Aerospace Shanghai, 36(S2): 199-203, 209
  38. 38.
    Yang D S, Zeng Y, Luo Y H, Zhou H J, Si F Q and Liu W Q. 2021. Monitoring Australia’s forest fires based on EMI remote sensing NO2 technology. Journal of Atmospheric and Environmental Optics, 16(3): 207-214
  39. 39.
    Yue X, Lei Y D, Zhou H, Liu Z, Letu H S, Cai Z N, Lin J T, Jiang Z H and Liao H. 2020. Changes of anthropogenic carbon emissions and air pollutants during the COVID-19 epidemic in China. Transactions of Atmospheric Sciences, 43(2): 265-274
  40. 40.
    Zhang C X, Liu C, Chan K L, Hu Q H, Liu H R, Li B, Xing C Z, Tan W, Zhou H J, Si F Q and Liu J G. 2020. First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite. Light: Science and Applications, 9(1): 66
  41. 41.
    Zhang C X, Liu C, Wang Y, Si F Q, Zhou H J, Zhao M J, Su W J, Zhang W Q, Chan K L, Liu X, Xie P H, Liu J G and Wagner T. 2018. Preflight evaluation of the performance of the Chinese environmental trace gas monitoring instrument (EMI) by spectral analyses of nitrogen dioxide. IEEE Transactions on Geoscience and Remote Sensing, 56(6): 3323-3332
  42. 42.
    Zhao M J, Si F Q, Zhou H J, Wang S M, Jiang Y and Liu W Q. 2018. Preflight calibration of the Chinese environmental trace gases monitoring instrument (EMI). Atmospheric Measurement Techniques, 11(9): 5403-5419
  43. 43.
    Zhao R, Zhang C X, Wu Y, Sun Z P and Liu C. 2021. Analysis of spatio-temporal variations of tropospheric nitrogen dioxide in the North China Plain based on EMI. Journal of Atmospheric and Environmental Optics, 16(3): 186-196
  44. 44.
    Zhao X, Shen N C, Li L J, Wu G F, Tao J and Zhao W J. 2021. Analysis of changes and factors influencing air pollutants in the Beijing-Tianjin-Hebei region during the COVID-19 pandemic. Environmental Science, 42(3): 1205-1214
  45. 45.
    Zheng B, Tong D, Li M, Liu F, Hong C P, Geng G N, Li H Y, Li X, Peng L Q, Qi J, Yan L, Zhang Y X, Zhao H Y, Zheng Y X, He K B and Zhang Q. 2018. Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions. Atmospheric Chemistry and Physics, 18(19): 14095-14111

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