Correction algorithm of atmospheric NO2 concentration caused by heavy aerosol load in differential absorption Lidar

Qiuwu Liu V; Yafeng Chen; Jian Huang; Shunxing Hu

doi:10.1117/12.2565421

17 April 2020 Correction algorithm of atmospheric NO₂ concentration caused by heavy aerosol load in differential absorption Lidar

Qiuwu Liu V, Yafeng Chen, Jian Huang, Shunxing Hu

Author Affiliations +

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 114558C (2020) https://doi.org/10.1117/12.2565421
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

Differential absorption lidar (DIAL) is an effective instrument for detecting nitrogen dioxide (NO₂) in the atmosphere. Under the condition of heavily polluted weather, aerosol has a serious influence on the concentration inversion of NO₂. In this paper, using both echoes of SO₂ and NO₂ at weak absorption wavelengths (301.50 nm and 446.60 nm) in differential absorption lidar, the aerosol extinction coefficient and backscattering coefficient are calculated by recursive inversion algorithm. It is also used to correction the concentration distribution of NO₂on the detective path. The experimental results show that the standard deviation of NO₂ concentration distribution using the correction algorithm is less than 10μg/m³ , and the fluctuation range is less than that of direct inversion. This concentration inversion algorithm overcomes the uncertainty caused by the assumption of the boundary value at the reference point when using the single-wavelength Klett or Fernald backward integration method to invert the aerosol extinction coefficient in heavily polluted weather, and has higher accuracy.

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Qiuwu Liu V, Yafeng Chen, Jian Huang, and Shunxing Hu "Correction algorithm of atmospheric NO₂ concentration caused by heavy aerosol load in differential absorption Lidar", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 114558C (17 April 2020); https://doi.org/10.1117/12.2565421

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KEYWORDS

Aerosols

Absorption

Nitrogen dioxide

LIDAR

Signal attenuation

Atmospheric corrections

Atmospheric sensing

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