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Monitoring and comparative analysis of NO2 pollution in the troposphere in winter over Beijing based on MAX-DOAS and TROPOMI

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

    University of Science and Technology of China, Hefei 230026, China

  • Email：ydshang@mail.ustc.edu.cn
  • Introduction：杨东上，研究方向为卫星、地基数据处理、反演及污染传输过程。E-mail： ydshang@mail.ustc.edu.cn
YANG Dongshang12,  
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

LUO Yuhan1,  
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

ZENG Yi1,  
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

ZHOU Haijin1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

  • Email：sifuqi@aiofm.ac.cn
  • Introduction：司福祺，研究方向为光信息处理、痕量气体光学与光谱学监测方法。E-mail： sifuqi@aiofm.ac.cn
SI Fuqi1*,  
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

DOU Ke1,  
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

ZHAN Kai1,  
  • Affiliation：

    Key Laboratory of Environmental Optical and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy Sciences, Hefei 230031, China

LIU Wenqing1

résumé

Satellite- and ground-based remote sensing methods have unique advantages in monitoring atmospheric pollutants. The comparison and verification of different remote sensing data and collaborative observations use different monitoring platforms, which play a major role in accurately assessing changes in atmospheric pollution. In this study, the tropospheric NO2 vertical column amounts in the winter from November 2018 to February 2019 at the Beijing site were retrieved using the MAX-DOAS spectrometer deployed at the Beijing site. Moreover, the daily and monthly changes in NO2 in Beijing were summarized. The MAX-DOAS spectrometer was also used with TROPOMI’s products to analyze the NO2 pollution during winter in Beijing.The MAX-DOAS measurement spectrum combined with the DOAS inversion algorithm was used to obtain the vertical column amounts of tropospheric NO2 at different times and compare the changes and correlation of the NO2 columns obtained by TROPOMI at the time of satellite overpass. It was also used to analyze the sensitivity of the NO2 columns of ground-based and spaceborne observations at different sampling times and the average sampling distance between the satellite and the ground site at the time of passing territory. Moreover, we counted wind fields in winter weather conditions. The influence of the wind field on the changes in NO2 in Beijing was also analyzed. The two-factor analysis of variance was applied to evaluate the influence of the wind field on the change in the regional NO2 amounts.The results show that the average columns of NO2 in the troposphere in Beijing in November are higher than those in other months in winter. The maximum hourly average columns can reach 4.04 × 1016 molec·cm-2. The average amounts of NO2 in the troposphere in the afternoon of each winter month are significantly higher than those in the morning. The tropospheric NO2 obtained by TROPOMI and MAX-DOAS has a good correlation (r = 0.88). The correlation between satellite-ground-based observations in December 2018 can reach 0.96. However, the NO2 amounts of TROPOMI are overestimated to varying degrees relative to the ground-based MAX-DOAS observation results. Moreover, the sensitivity of satellite-ground comparison shows that within a certain sampling range, the correlation appears to increase significantly with the increase in average time and average distance. The correlation is sensitive to the sampling distance, whereas the relative column deviation is sensitive to the sampling time. This finding provides a reference for the selection of reasonable sampling intervals during data comparison. In addition, wind field analysis indicates that wind speed and the interaction between wind speed and wind direction are the main factors leading to changes in NO2 in Beijing.The results of monitoring NO2 in winter on different platforms indicate that the NO2 in the Beijing area has obvious monthly and diurnal changes. This monitoring is vital for establishing pollution forecasting models and analyzing pollution causes. The comparative observation and sampling sensitivity analysis of the two different observation platforms also provide important reference and data support for the reliability of NO2 inversion on the spaceborne platform.

mots-clés

NO2;TROPOMI;MAX-DOAS;Two-way ANOVA;changing trend;remote sensing;DOAS;comparison and validation

References

  1. 1.
    Beirle S, Platt U, Wenig M and Wagner T. 2003. Weekly cycle of NO2 by GOME measurements: a signature of anthropogenic sources. Atmospheric Chemistry and Physics, 3(6): 2225-2232
  2. 2.
    Bogumil K, Orphal J, Homann T, Voigt S, Spietz P, Fleischmann O C, Vogel A, Hartmann M, Kromminga H, Bovensmann H, Frerick J and Burrows J P. 2003. Measurements of molecular absorption spectra with the SCIAMACHY pre-flight model: instrument characterization and reference data for atmospheric remote-sensing in the 230—2380 nm region. Journal of Photochemistry and Photobiology A: Chemistry, 157(2/3): 167-184
  3. 3.
    Calvert J G, Atkinson R, Kerr J A, Madronich S, Moortgat G K and Wallington T J. 2000. Primary photochemical processes in some important light-absorbing products of atmospheric oxidation of the alkenes//The Mechanisms of Atmospheric Oxidation of the Alkenes. Oxford: Oxford University Press: 372-375
  4. 4.
    Celarier E A, Brinksma E J, Gleason J F, Veefkind J P, Cede A, Herman J R, Ionov D, Goutail F, Pommereau J P, Lambert J C, Van Roozendael M, Pinardi G, Wittrock F, Schönhardt A, Richter A, Ibrahim O W, Wagner T, Bojkov B, Mount G, Spinei E, Chen C M, Pongetti T J, Sander S P, Bucsela E J, Wenig M O, Swart D P J, Volten H, Kroon M and Levelt P F. 2008. Validation of Ozone Monitoring Instrument nitrogen dioxide columns. Journal of Geophysical Research: Atmospheres, 113(D15): D15S15
  5. 5.
    Cersosimo A, Serio C and Masiello G. 2020. TROPOMI NO2 tropospheric column data: regridding to 1 km grid-resolution and assessment of their consistency with in situ surface observations. Remote Sensing, 12(14): 2212
  6. 6.
    Chen Y P, Yan H, Yao Y J, Zeng C L, Gao P, Zhuang L Y, Fan L Y and Ye D Q. 2020. Relationships of ozone formation sensitivity with precursors emissions, meteorology and land use types, in Guangdong-Hong Kong-Macao Greater Bay Area, China. Journal of Environmental Sciences, 94: 1-13
  7. 7.
    China Environment News. 2018. Three-Year Action Plan to Win the Blue-Sky Defense War. [2018-07-04].
  8. 8.
    EPA. 1993. Air quality criteria for oxides of nitrogen (Final Report, 1993). EPA/600/8-91/049aF-Cf. Environmental Protection Agency
  9. 9.
    Filippini T, Rothman K J, Goffi A, Ferrari F, Maffeis G, Orsini N and Vinceti M. 2020. Satellite-detected tropospheric nitrogen dioxide and spread of SARS-CoV-2 infection in Northern Italy. Science of the Total Environment, 739: 140278
  10. 10.
    Fu C B, Dan L, Tang J X and Yang W. 2019. Spatiotemporal variation of NO2 and sub-regional transport during winter pollution events in Haikou, China. Journal of Tropical Meteorology, 25(3): 365-372
  11. 11.
    Hermans C. 2015. BIRA-IASB Spectroscopy Lab[EB/OL]. [2019-12-26].
  12. 12.
    Hua J X, Zhang Y X, de Foy B, Mei X D, Shang J and Feng C. 2021. Competing PM2.5 and NO2 holiday effects in the Beijing area vary locally due to differences in residential coal burning and traffic patterns. Science of the Total Environment, 750: 141575
  13. 13.
    Huang G Y and Sun K. 2020. Non-negligible impacts of clean air regulations on the reduction of tropospheric NO2 over East China during the COVID-19 pandemic observed by OMI and TROPOMI. Science of the Total Environment, 745: 141023
  14. 14.
    Ialongo I, Virta H, Eskes H, Hovila J and Douros J. 2020. Comparison of TROPOMI/Sentinel-5 Precursor NO2 observations with ground-based measurements in Helsinki. Atmospheric Measurement Techniques, 13(1): 205-218
  15. 15.
    Keller-Rudek H, Moortgat G K, Sander R and Sörensen R. 2013. The MPI-Mainz UV/VIS spectral atlas of gaseous molecules of atmospheric interest. Earth System Science Data, 5(2): 365-373
  16. 16.
    Kelly T J, Spicer C W and Ward G F. 1990. An assessment of the luminol chemiluminescence technique for measurement of NO2 in ambient air. Atmospheric Environment. Part A. General Topics, 24(9): 2397-2403
  17. 17.
    Kim D R, Choi W J, Lee J S, Kim S Y, Hong J S, Song C K, Lee J B, Hong Y D and Lee S J. 2012. Analysis of NO2 over the Korean Peninsula from ozone monitoring instrument satellite measurements. Journal of Korean Society for Atmospheric Environment, 28(3): 249-260
  18. 18.
    Lee C, Kim Y J, Lee H and Choi B C. 2008. MAX-DOAS measurements of ClO, SO2 and NO2 in the mid-latitude coastal boundary layer and a power plant plume//Kim Y J and Platt U, eds. Advanced Environmental Monitoring. Dordrecht: Springer: 37-49
  19. 19.
    Leser H, Hönninger G and Platt U. 2003. MAX-DOAS measurements of BrO and NO2 in the marine boundary layer. Geophysical Research Letters, 30(10): 1537
  20. 20.
    Liu S, Valks P, Pinardi G, De Smedt I, Yu H, Beirle S and Richter A. 2019. An improved total and tropospheric NO2 column retrieval for GOME-2. Atmospheric Measurement Techniques, 12(2): 1029-1057
  21. 21.
    Luo Y H, Dou K, Fan G Q, Huang S, Si F Q, Zhou H J, Wang Y J, Pei C L, Tang F Y, Yang D S, Xi L, Yang T P, Zhang T S and Liu W Q. 2020. Vertical distributions of tropospheric formaldehyde, nitrogen dioxide, ozone and aerosol in southern China by ground-based MAX-DOAS and LIDAR measurements during PRIDE-GBA 2018 campaign. Atmospheric Environment, 226: 117384
  22. 22.
    Merienne M F, Jenouvrier A, Coquart B and Lux J P. 1997. The NO2 absorption spectrum. IV: the 200-400 nm region at 220 K. Journal of Atmospheric Chemistry, 27(3): 219-232
  23. 23.
    Platt U, Perner D and Pätz H W. 1979. Simultaneous measurement of atmospheric CH2O, O3, and NO2 by differential optical absorption. Journal of Geophysical Research: Oceans, 84(C10): 6329-6335
  24. 24.
    Ramachandran A, Jain N K, Sharma S A and Pallipad J. 2013. Recent trends in tropospheric NO2 over India observed by SCIAMACHY: identification of hot spots. Atmospheric Pollution Research, 4(4): 354-361
  25. 25.
    Richter A, Burrows J P, Nüß H, Granier C and Niemeier U. 2005. Increase in tropospheric nitrogen dioxide over China observed from space. Nature, 437(7055): 129-132
  26. 26.
    Shaiganfar R, Beirle S, Sharma M, Chauhan A, Singh R P and Wagner T. 2011. Estimation of NOx emissions from Delhi using Car MAX-DOAS observations and comparison with OMI satellite data. Atmospheric Chemistry and Physics, 11(21): 10871-10887
  27. 27.
    Shikwambana L, Mhangara P and Mbatha N. 2020. Trend analysis and first time observations of sulphur dioxide and nitrogen dioxide in South Africa using TROPOMI/Sentinel-5 P data. International Journal of Applied Earth Observation and Geoinformation, 91: 102130
  28. 28.
    Szymankiewicz K, Kaminski J W and Struzewska J. 2014. Interannual variability of tropospheric NO2 column over central Europe - observations from SCIAMACHY and GEM-AQ model simulations. Acta Geophysica, 62(4): 915-929
  29. 29.
    Tan W, Liu C, Wang S S, Liu H R, Zhu Y Z, Su W J, Hu Q H and Liu J G. 2020. Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions. Atmospheric Research, 245: 105037
  30. 30.
    The State Council. 2013. Action plan on the prevention and control of air pollution. [2018-05-17]
  31. 31.
    van der A R J, Eskes H J, Boersma K F, Van Noije T P C, Van Roozendael M, De Smedt I, Peters D H M U and Meijer E W. 2008. Trends, seasonal variability and dominant NOx source derived from a ten year record of NO2 measured from space. Journal of Geophysical Research: Atmospheres, 113(D4): D04302
  32. 32.
    van Geffen J H G M, Boersma K F, Eskes H J, Maasakkers J D and Veefkind J P. 2016. TROPOMI ATBD of the total and tropospheric NO2 data products. [2019-06-12]
  33. 33.
    van Geffen J H G M, Eskes H J, Boersma K F, Maasakkers J D and Veefkind J P. 2019. TROPOMI ATBD of the total and tropospheric NO2 data products. Royal Netherlands Meteorological Institute Ministry of Infrastructure and Water Management, Accessed 1.4.0. [2019-12-26]
  34. 34.
    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
  35. 35.
    Volkamer R, Baidar S, Campos T L, Coburn S, DiGangi J P, Dix B, Eloranta E W, Koenig T K, Morley B, Ortega I, Pierce B R, Reeves M, Sinreich R, Wang S, Zondlo M A and Romashkin P A. 2015. Aircraft measurements of BrO, IO, glyoxal, NO2, H2O, O2—O2 and aerosol extinction profiles in the tropics: comparison with aircraft-/ship-based in situ and lidar measurements. Atmospheric Measurement Techniques, 8(5): 2121-2148
  36. 36.
    Wang P, Piters A, van Geffen J, Tuinder O, Stammes P and Kinne S. 2020. Shipborne MAX-DOAS measurements for validation of TROPOMI NO2 products. Atmospheric Measurement Techniques, 13(3): 1413-1426
  37. 37.
    Wang Y, Li A, Xie P H, Wagner T, Chen H, Liu W Q and Liu J G. 2014. A rapid method to derive horizontal distributions of trace gases and aerosols near the surface using multi-axis differential optical absorption spectroscopy. Atmospheric Measurement Techniques, 7(6): 1663-1680
  38. 38.
    WHO. 2006. Air quality guidelines: global update 2005: Particulate matter, ozone, nitrogen dioxide and sulfur dioxide. World Health Organization
  39. 39.
    Yang D S, Zeng Y, Xi L, Zhou H J, Qiu X H, Luo Y H, Si F Q and Liu W Q. 2020. Analysis of the emission flux of pollution source NOx based on synchronous observation of airborne and vehicular differential optical absorption spectroscopy technique. Acta Optica Sinica, 40(5): 0501002
  40. 40.
    Yang T P, Si F Q, Zhao M J, Dou K, Zhou H J, Luo Y H and Liu W Q. 2017. Method for measuring surface albedo based on airborne platform. Acta Optica Sinica, 37(12): 1228001

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