Journal of Atmospheric and Environmental Optics, Volume. 12, Issue 1, 15(2017)

Modification of Estimates of NOx Emissions Based on OMI Satellite Database and Mobile DOAS Technology

Qiong ZHANG1,2, Ang LI1、*, Zhaokun HU1,2, Fengcheng WU1, and Pinhua XIE1,3,4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • show less

    Compared with the tropospheric NO2 column concentration measured by the Monitoring Instrument Ozone(OMI) detector mounted on the AURA EOS satellite, the mobile passive differential optical absorption spectroscopy (DOAS) has higher spatial resolution. It can better reflect the distribution of NO2 pollution in a region. Therefore the distribution of NO2 column concentration over Shijiazhuang was reconstructed using data from OMI database(June 2013), combined with the wind data, the variation of spatial and temporal patterns of the distribution of NO2 concentration under southwest wind in Shijiazhuang was obtained. At the same time, the mobile DOAS system was used to observe the distribution of NO2 concentration on the southwest transport channel (Shijiazhuang-Baoding-Beijing). Finally, the exponentially-modified Gaussian (EMG) method was used to estimate the NOx emission rate over Shijiazhuang in June 2013. The results showed that, the emission fluxes of OMI NOx and emission fluxes modified by mobile DOAS was 195.8 mol/s and 160.6 mol/s, respectively. The reason why the latter is less than the former may be the low spatial resolution of the satellite.

    Tools

    Get Citation

    Copy Citation Text

    ZHANG Qiong, LI Ang, HU Zhaokun, WU Fengcheng, XIE Pinhua. Modification of Estimates of NOx Emissions Based on OMI Satellite Database and Mobile DOAS Technology[J]. Journal of Atmospheric and Environmental Optics, 2017, 12(1): 15

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jul. 25, 2016

    Accepted: --

    Published Online: Feb. 9, 2017

    The Author Email: Ang LI (angli@aiofm.ac.cn)

    DOI:10.3969/j.issn.1673-6141.2017.01.003

    Topics