Study on the Tropospheric Column Density of NO2 in Shanghai Based on MAX-DOAS
XU Heng1, LIU Hao-ran1*, JI Xiang-guang2, LI Qi-hua1, LIU Guo-hua1, OU Jin-ping1, ZHU Peng-cheng1
1. Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China
2. School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China
Abstract：Nitrogen dioxide (NO2) is one of the main pollutants in the atmosphere, which plays a key role in tropospheric and stratospheric atmospheric chemistry processes. It not only participates in the catalytic formation of tropospheric ozone, but also contributes to the formation of aerosols, which leads to climate disasters such as acid rain and endangers human health. NO2 from anthropogenic sources (industrial, power plant, transportation, etc.) accounts for the majority of the total NO2 emissions. Traditional monitoring methods, such as satellite remote sensing technology, are not sensitive enough to the bottom of the troposphere, while in-situ sampling instrument can only obtain the concentration information of pollutants near the surface. The multi-axis differential optical absorption spectroscopy (MAX-DOAS) technique, which has been widely used in recent years, is not only sensitive to near surface observation, but also has the advantages of high temporal resolution, low detection limit and simultaneous monitoring of multiple pollutants. In order to monitor the variation characteristics of the tropospheric column density of NO2 in Shanghai in real time, a ground-based MAX-DOAS instrument was set up in Xuhui District of Shanghai for long-term continuous observation. By analyzing the MAX-DOAS measurement data from June to September 2019, it is found that NO2 VCDs generally reach the peak value (1.56×1016 molec·cm-2) at about 9:00 in the morning, and the concentration decreases significantly with the increase of illumination, and reaches the lowest value (1.21×1016 molec·cm-2) in the afternoon, and increases again after 16:00 in the evening. In addition, the NO2 VCDs during the morning peak of weekday was significantly higher (about 11.8%) than that at the weekend, while the NO2 VCDs in the weekend evening increased significantly compared with that in the weekday evening. Comparing the MAX-DOAS observation results with the data of TORPOMI satellite, it is found that two data sets have a good agreement, and the correlation coefficient R is 0.87. Using the HYSPLIT backward trajectory model to cluster analysis the backward trajectory of air mass transport at 500 m height during the campaign, it is found that NO2 pollution in Shanghai is significantly influenced by the transportation of polluted air masses in coastal areas. Research shows that the ground-based MAX-DOAS system, as a real-time, rapid and continuous atmospheric monitoring method, can be widely used in urban area pollution monitoring applications. The observational research of tropospheric NO2 in Shanghai provides some data support for the prevention and control of air pollution in Shanghai.
徐 恒，刘浩然，季祥光，李启华，刘国华，欧金萍，朱鹏程. 基于MAX-DOAS的上海市区NO2对流层柱浓度研究[J]. 光谱学与光谱分析, 2022, 42(09): 2720-2725.
XU Heng, LIU Hao-ran, JI Xiang-guang, LI Qi-hua, LIU Guo-hua, OU Jin-ping, ZHU Peng-cheng. Study on the Tropospheric Column Density of NO2 in Shanghai Based on MAX-DOAS. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2720-2725.
[1] Tan W, Liu C, Wang S, et al. Atmos. Chem. Phys.，2018, 18(20): 15387.
[2] Tan W, Zhao S, Liu C, et al. Atmospheric Environment, 2019, 200: 228.
[3] Zhang C, Liu C, Hu Q, et al. Light: Science & Applications, 2019, 8(1): 100.
[4] Su W，Liu C, Hu Q, et al. Atmos. Chem. Phys.，2019, 19(10): 6717.
[5] Hao N，Valks P, Loyola D, et al. Environmental Research Letters, 2011, 6(4): 044004.
[6] Platt U，Stutz J. Differential Optical Absorption Spectroscopy, Springer, Heidelberg, Berlin, 2008. 229.
[7] Xing C, Liu C, Wang S, et al. Atmos. Chem. Phys.，2017, 17(23): 14275.
[8] Xing C, Liu C, Hu Q, et al. Science of the Total Environment，2020，715：136258.
[9] Vandaele A C, Hermans C, Simon P C, et al. J. Quant. Spectrosc. Ra., 1998, 59：171.
[10] Richard Meller, Geert K Moortgat. J. Geophys. Res., 2000, 105：7089.
[11] Serdyuchenko A, Gorshelev V, Weber M, et al. Atmos. Meas. Tech., 2014, 7(2): 625.
[12] Thalman R, Volkamer R. Phys. Chem. Chem. Phys., 2013, 15：15371.
[13] Oliver C Fleischmann, Matthias Hartmann, John P Burrows, et al. J. Photoch. Photobio. A, 2004, 168：117.
[14] LI Xu-wen, ZHANG Yue，JIANG Sheng，et al（李旭文, 张 悦, 姜 晟，等）. Environment Monitoring and Forewarning（环境监控与预警）, 2019, 11(2): 10.
[15] Zhao X，Griffin D, Fioletov V, et al. Atmospheric Measurement Techniques, 2020, 13(4): 2131.
[16] Zhang C, Liu C, Chan K L, et al. Light: Science & Applications, 2020, 9(1)：1.
