Accurate Inversion of Aerosol Backscattering Coefficient in the Near-Ground Haze Condition with Rotational Raman-Mie Lidar

被引：0
|
作者：
Zhang Y. [1 ]
He J. [1 ]
Chen S. [1 ]
Guo P. [1 ]
Chen H. [1 ]
机构：
[1] School of Optics and Photonics, Beijing Institute of Technology, Beijing
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2021年 / 41卷 / 05期
关键词：
Aerosol remote sensing; Atmospheric molecular scattering; Backscattering coefficient; Haze; Raman-Mie lidar;
D O I：
10.15918/j.tbit1001-0645.2020.067
中图分类号：
学科分类号：
摘要：
A modified inversion method for aerosol backscattering coefficient in the near-ground haze condition was proposed for rotational Raman-Mie lidar.In order to solve the problems of the intensity of the elastic scattering light to exceed the generally applicable suppression ratio of lidar system resulted from the surge of aerosol concentration in the near-ground haze condition, and some distortions of the Raman signals caused in the leaked elastic signal, a correction method was proposed to modify the abnormal signal with coefficient and considering the effect of atmospheric temperature on the aerosol backscatter inversion in addition.Experiment results show that, compared with the classic Raman-Mie method, the proposed method can improve the accuracy of the aerosol backscattering coefficient in the near-ground stable aerosol layer by about 20% so as to enhance the detecting performance of Raman-Mie lidar in polluted air condition. © 2021, Editorial Department of Transaction of Beijing Institute of Technology. All right reserved.
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页码：507 / 512
页数：5
相关论文
共 14 条
  • [11] JI H, CHEN S, ZHANG Y, Et al., Comparison of air quality at different altitudes from multi-platform measurements in Beijing, Atmospheric Chemistry and Physics, 18, 14, pp. 10645-10653, (2018)
  • [12] HE J, CHEN S, ZHANG Y, Et al., Accurate inversion of tropospheric bottom temperature using pure rotational Raman lidar in polluted air condition, Optics Communications, 452, pp. 88-94, (2019)
  • [13] CHEN B, CHEN S, ZHANG Y, Et al., Atmospheric temperature dependence of the aerosol backscattering coefficient, Particuology, 28, pp. 72-76, (2016)
  • [14] BEHRENDT A, REICHARDT J., Atmospheric temperature profiling in the presence of clouds with a pure rotational Raman lidar by use of an interference-filter-based polychromator, Applied Optics, 39, 9, pp. 1372-1378, (2000)
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