激光与光电子学进展, 2018, 55(9): 092801, 网络出版: 2018-05-01

激光雷达探测气溶胶光学特性的不确定性因素研究

Uncertainty Factors of Aerosol Optical Properties Inversion by Lidar
作者单位

1中国科学院安徽光学精密机械研究所环境光学与技术重点实验室, 安徽 合肥 230031

2中国科学技术大学, 安徽 合肥 230026

摘要
针对环境领域中最常用的米氏散射激光雷达, 通过讨论气溶胶光学特性反演方法的流程, 分析了影响反演结果准确度的各种不确定性因素。分析结果表明, 为获取高稳定性和高可靠性的探测结果, 需要采用合理的信号去噪方法, 设置合理的累加次数、气溶胶消光后向散射比、标定高度和标定值等。此外, 还需要对反演算法进行定期标定, 主要包括几何重叠因子标定、球载消光仪标定、瑞利散射标定、能见度仪标定、太阳光度计标定、湿度标定、颗粒物浓度标定等。通过这一系列配置和标定后, 多台激光雷达数据可以达到高度的一致性和准确性。
Abstract
For the most commonly used Mie scattering laser radar in the environmental field, through the process discussion of the inversion of aerosol optical characteristics, we analyze the uncertain factors which affect the accuracy of inversion results. The result shows that in order to obtain the results with high stability and reliable detection, the system use a reasonable signal denoising method to set up accumulative frequency, signal denoising method, aerosol extinction backscatter ratio, calibration height and calibration value. In addition, the system needs to calibrate the inversion algorithm regularly, including geometric overlap factor calibration, balloon borne extinction instrument calibration, Rayleigh scattering calibration, visibility meter calibration, sun photometer calibration, humidity calibration, particle concentration calibration and so on. With this series of configuration and calibration, multiple lidars data can achieve high consistency and accuracy.
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