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

Journal of Atmospheric and Environmental Optics ›› 2017, Vol. 12 ›› Issue (1): 15-21.

Previous Articles Next Articles

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

ZHANG Qiong1,2, LI Ang1*, HU Zhaokun1,2, WU Fengcheng1, XIE Pinhua1,3,4

（1 Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Science, Hefei 230031, China;
2 Graduate school, University of Science and Technology of China, Hefei 230026, China;
3 CAS Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China;
4 School of Environmental Science and Optoeclectronic Technology, University of Science and Technology of China, Hefei 230026, China）

Received:2016-07-25 Revised:2016-11-15 Online:2017-01-28 Published:2017-01-13

Abstract

Abstract:

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 were 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 shown that, the emission fluxes of OMI NOx and emission fluxes modified by mobile DOAS was about 195.8 mol/s and 160.6 mol/s, respectively. The reason why the latter is less than the former may be because the low spatial resolution of the satellite.

Key words: Monitoring Instrument Ozone, mobile DOAS, NO2 distributions, NOx emission flux

CLC Number:

X831

ZHANG Qiong, LI Ang, HU Zhao-Kun, WU Feng-Cheng, XIE Pin-Hua. 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): 15-21.

References

[1] van der A R J, Peters D, Eskes H, et al. Detection of the trend and seasonal variation in tropospheric NO2 over China [J]. J. Geophys. Res., 2006, 111(D12): 1-10.
[2] Richter A, Burrows J P, Nüss H, et al. Increase in tropospheric nitrogen dioxide over China observed from space [J]. Nature, 2005, 437(7055):129-132.
[3] Leue C, Wenig M, Wagner T, et al. Quantitative analysis of NO, x, emissions from Global Ozone Monitoring Experiment satellite image sequences [J]. J. Geophys. Res., 2001, 106(D6): 5493-5506.
[4] Beirle S, Boersma K F, Platt U, et al. Megacity emissions and lifetimes of nitrogen oxides probed from space [J]. Science, 2011, 333(6050): 1737-1739.
[5] Wang S W, Zhang Q, Streets D G, et al. Growth in NOx emissions from power plants in China: bottom-up estimates and satellite observations [J]. Atmos. Chem. Phys., 2012, 12(10): 45-91.
[6] Stutz J, Platt U. Differential Optical Absorption Spectroscopy: Principles and Applications [M]. Berlin: Springser, 2004: 9.
[7] Li Ang, Xie Pinhua, Liu Wenqing, et al. Studies on the determination of the flux of gaseous pollutant from an area by passive differential optical absorption spectroscopy [J]. Spectroscopy and Spectral Analysis, 2009, 29(1): 28-32(in Chinese).
李昂, 谢品华, 刘文清, 等. 被动差分吸收光谱法测量区域内污染气体排放通量的方法研究 [J]. 光谱学与光谱分析, 2009, 29(1): 28-32.
[8] Friedeburg C V, Pundt I, Mettendorf K U, et al. Multi-axis-DOAS measurements of NO2, during the BAB II motorway emission campaign [J]. Atmos. Environ., 2005, 39(5): 977-985.
[9] Xu Jin, Xie Pinhua, Si Fuqi, et al. Retrieval of tropospheric NO2 by multi axis differential optical absorption spectroscopy [J]. Spectroscopy and Spectral Analysis, 2010, 30(9): 2464-2469(in Chinese).
徐晋, 谢品华, 司福祺, 等. 利用多轴差分吸收光谱技术反演对流层NO2 [J]. 光谱学与光谱分析, 2010, 30(9): 2464-2469.
[10] Stammes P, Sneep M, de Haan J F, et al. Effective cloud fractions from the Ozone Monitoring Instrument: Theoretical framework and validation [J]. J. Geophys. Res., 2008, 113(D16): 16-38.
[11] Hains J C, Boersma K F, Kroon M, et al. Testing and improving OMI DOMINO tropospheric NO2, using observations from the DANDELIONS and INTEX-B validation campaigns [J]. J. Geophys. Res., 2010, 115(D5): 458-473.
[12] Boersma K F, Eskes H J, Veefkind J P, et al. Near-real time retrieval of tropospheric NO2 from OMI [J]. Atmos. Chem. Phys., 2007, 6(6): 2103-2118.
[13] Wenig M O, Cede A M, Bucsela E J, et al. Validation of OMI tropospheric NO2 column densities using direct-Sun mode Brewer measurements at NASA Goddard Space Flight Center [J]. J. Geophys. Res., 2008, 113(D16): 1-10.
[14] de Foy B, Wilkins J L, Lu Z, et al. Model evaluation of methods for estimating surface emissions and chemical lifetimes from satellite data [J]. Atmos. Environ., 2014, 98: 66-77.
[15] Martin R V, Jacob D J, Chance K, et al. Global inventory of nitrogen oxide emissions constrained by space-based observations of NO 2, columns [J]. J. Geophys. Res., 2003, 108(D17): 1-12.
[16] Mijling B, van der A R J. Using daily satellite observations to estimate emissions of short-lived air pollutants on a mesoscopic scale [J]. J. Geophys. Res., 2012, 117(D17): 127-135.
[17] Li Ang, Xie Pinhua, Dou Ke, et al. Remote sensing of the emission flux from an industrial area by mobile passive DOAS during Beijing Olympic Games [J]. Journal of Atmospheric and Environmental Optics, 2009, 4(5): 341-346(in Chinese).
李昂, 谢品华, 窦科,等. 奥运期间北京某工业区排放通量的车载被动DOAS遥测研究[J]. 大气与环境光学学报, 2009, 4(5): 341-346.

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

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 1

Recommended Articles

Metrics

Comments