基于小波多尺度分析大气边界层高度提取方法研究  

Research on the method of extracting atmospheric boundary layer height based on wavelet multiscale analysis

作　　者：李猛[1,2] 李佳欣 郭心骞 吴德成 刘苏悦 Li Meng;Li Jiaxin;Guo Xinqian;Wu Decheng;Liu Suyue(Tianjin Key Laboratory of Intelligent Signal and Image Processing,Civil Aviation University of China,Tianjin 300300,China;School of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China;Key Laboratory of Atmospheric Optics,Anhui Institute of Optics and Precision Machinery,Chinese Academy of Sciences Hefei Institute of Physical Sciences,Hefei 230000,China)

机构地区：[1]中国民航大学天津市智能信号与图像处理重点实验室,天津300300 [2]中国民航大学电子信息与自动化学院,天津300300 [3]中国科学院合肥物质科学研究院安徽光学精密机械研究所中国科学院大气光学重点实验室,安徽合肥230000

出　　处：《红外与激光工程》2024年第5期164-172,共9页Infrared and Laser Engineering

基　　金：国家自然科学基金项目(42305142);天津市教委科研计划项目(2021KJ033)。

摘　　要：大气边界层物理演变特征及复杂边界层结构对大气污染过程的影响机制研究中,迫切需要边界层精细化结构的探测手段。通常使用梯度法和小波协方差变换法的方式进行边界层高度提取,但由于该方式容易受到噪声和气溶胶层结构的影响,实验误差较大。提出使用小波多尺度分析方法细化边界层特征结构,从而筛选出有效的细节信息,提高对探索边界层高度的准确性。此外,基于GBQ L-01激光雷达设备实测合肥地区全天气溶胶分布情况,使用小波多尺度分析方法分析对应的平行分量距离平方矫正信号、垂直分量距离平方矫正信号和退偏振比全天分布情况。实验结果表明,该方法准确性高,与梯度法、小波协方差法相比具有更高的稳定性与连续性。对特殊时间点进行数据分析,明确主要影响边界层高度的主要因素,并确定各个时间段的大气边界层高度值。The physical processes occurring in the atmospheric boundary layer are important factors in the formation of large scale weather and climate.Therefore,detecting the refined structure of the boundary layer helps to understand the physical evolution characteristics of the atmospheric boundary layer,and the impact mechanism of complex boundary layer structures on atmospheric pollution processes.In order to study the mechanism of air pollution,air pollution forecasting is carried out,ensure ground traffic and aviation safety.It is necessary to establish a reasonable mathematical model to study the laws of changes in the Earth's climate environment system and make predictions,and to have a very deep understanding of the atmospheric boundary layer.At present,fine observation within the boundary layer is mainly obtained through in-situ measurement methods,using wavelet analysis methods to obtain corresponding coherent structures and scale features from in-situ measurement data.The scale characteristics within the atmospheric boundary layer vary with altitude,therefore it is necessary to use two-dimensional measurement data to study the spatial distribution of scale characteristics in the atmospheric boundary layer.To overcome the shortcomings of existing methods,we propose a Shearlets wavelet multi-scale method.The traditional method uses gradient method and wavelet covariance transform to extract the height of the boundary layer,but due to the influence of noise and the structure of the aerosol layer,this method is prone to significant experimental errors.This article proposes the use of wavelet multi-scale analysis to refine the boundary layer feature structure,in order to screen out effective detail information and improve the accuracy of exploring the height of the boundary layer.To begin with,we calculate the preprocessed distance corrected squared signal(PRR)single profile with the synthesized wavelet,and then perform scale transformation through matrix Mj.Last but not least,the scale factor a=1-128,where the heig

关 键 词：激光雷达 大气边界层 小波多尺度分析 精细结构 高时空分辨率 

分 类 号：TN249[电子电信—物理电子学]