Design And Application Of Polluted Gas Monitoring Software Based On DOAS Method

The regional air pollution problem in my country is severe and seriously affects the normal production and life of the people.It is necessary to accurately grasp the concentration of air pollutants and their temporal and spatial distribution characteristics in time.Based on the Differential Absorption Spectroscopy（DOAS）technology,this paper focuses on the inversion algorithm of related software,rewrites the code to optimize the original function,retrieves the concentration of polluted gas,and visualizes its longitude and latitude information in 2D and 3D In the map.The DOAS method can show the distribution of pollutants in space,and has been successfully used on multiple platforms,such as ground-based scanning,airborne scanning,and spaceborne scanning observations,laying the foundation for environmental monitoring and governance.The research team is currently relatively mature in the use of DOAS detection technology,but when performing concentration inversion,it is limited by the inherent operating mode and functional limitations of the inversion tool itself.In order to more accurately analyze the temporal and spatial distribution characteristics of polluted gases,the QDOAS software Carried out source-level analysis and optimization.On the Windows platform,C++and QT are used to reorganize the QDOAS code.By re-extracting,integrating,rewriting,and optimizing the code,a faster and more convenient inversion function module is realized.In order to better study the spatial and temporal distribution characteristics of atmospheric pollution gases,the inversion result data is visualized in two-dimensional and three-dimensional maps.Each point after visualization contains its concentration information.You can view the desired observation by setting the interval size The spatial distribution of the gas within the range,the three-dimensional map can be visualized to observe the gas distribution from various perspectives,which is conducive to observation,analysis and further research.Based on its imaging principle,the optimized inversion software is used to study the distribution of urban air pollutants.Taking common air pollutants NO₂ and SO₂ as examples,on-site observation experiments were conducted at Tongling Fuxin Iron and Steel Plant on November 6,2019,and the differential slant concentration（DSCD）of pollutant gases was inverted.The optimized software is applied to the UAV platform,the UAV airborne platform system is built,and the specific plan of the UAV observation experiment is designed.The experimental results show that the improved inversion tool is more efficient and improves work efficiency.This paper optimizes the DOAS-based inversion tool and successfully inverts the pollutant concentration,which actually solves the problems of cumbersome inversion process and slow inversion speed,visualizing the concentration results on the map improves the readability and interactivity of the data.The software was applied to various observation platforms,and ground-based and drone airborne observation experiments were carried out,which can quickly find important pollution sources in the target area and provide support for atmospheric environmental monitoring and prevention.