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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

Resümee

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.

Schlüsselwort

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

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