Research On Quality Control Method Of Atmospheric Lidar Data

In recent years,with the improvement of industrialization level and the intensification of human social activities,the atmospheric environmental pollution has become more and more serious,which has seriously affected human normal life and physical health,and aroused the widespread concern of the society and the high attention of the state.In order to study effective measures for precise pollution prevention and control,it is necessary to ascertain the source,spatiotemporal distribution characteristics,and transport characteristics of atmospheric particulate matter.Lidar is a new active optical remote sensing technology in the field of atmospheric detection.Through data processing and analysis such as inversion and fusion of atmospheric lidar data,relevant information of target atmospheric parameters can be obtained.However,due to the interference of various noise and external environmental factors in the data acquisition process of the lidar system,the quality of the lidar data finally collected by the system is uneven,which can not ensure the accuracy of the atmospheric parameter information after lidar data inversion.In order to ensure the reliability of research on atmospheric parameter characteristics and pollution formation mechanism,this paper systematically studies the quality control method of atmospheric lidar data.The specific research contents are as follows:1.Aiming at the lack of quality assessment standards for atmospheric lidar data.Firstly,based on the design structure of lidar system,this paper analyzes the detection principle,common data inversion mechanism and the characteristics of lidar data.Secondly,based on the performance characteristics of lidar data quality,this paper constructs an evaluation model for atmospheric lidar data quality,and extracts the evaluation indicators of atmospheric lidar data quality.Finally,the calculation rules of the corresponding indicators and the comprehensive evaluation method of the data quality are given.2.Aiming at the problem of uneven data quality of atmospheric lidar.Firstly,this paper gives the control process of atmospheric lidar data quality,that is to improve the quality of lidar data by combining the denoising of atmospheric lidar data with the repair of abnormal data.Secondly,the noise characteristics of atmospheric lidar data and common data denoising and abnormal data restoration methods are theoretically analyzed.Then,a novel atmospheric lidar data denoising method and abnormal data repair method based on statistical correlation are given.Finally,simulation experiments are constructed to test the effectiveness of the improved data quality control method.The experimental results show that this method can effectively improve the data quality of atmospheric lidar.3.The quality control method of atmospheric lidar data presented in this paper is verified and analyzed by experiments.Taking the single-channel and multi-channel lidar data collected by the lidar system as the object,the data quality control method given in this paper is applied.By comparing the evaluation results of atmospheric lidar data quality before and after quality control,the practical feasibility and practical significance of the research content in this paper are tested.The experimental results show that this research content can provide an effective technical means to ensure the reliability of lidar data service application,and has high engineering application value.