Correction And Integration Of Active And Passive Aerosol Dection Technology For Slant Visibility

Atmospheric visibility is an important parameter of atmospheric physics and an important factor of atmospheric pollution,it also reflecs the stability of the atmosphere.Especially slant visibility is an important influencing factor in air transportation,and its accurate detection has an important impact on the safe landing of aircraft.The traditional slant visibility detection technology has certain inversion defects,it ignores the influence of atmospheric luminescence in the slant path.In this paper,lidar is the main detection method,combined with active and passive detection methods such as solar photometer,visibility meter and particle spectrometer,wh ich aim to achieve the inversion and correction fusion of atmospheric aerosol optical properties,microphysical properties and scattering properties.These properties provide technical and data support for the study of atmospheric luminosity in accurate detection of slope visibility.Firstly,a multi-wavelength whole-day Mie-Raman lidar system for aerosol fine detection is designed and built.What is more,th e design and spectral performance test of a high spectral resolution and high performance four channels spectroscopic system is completed.Vertical detection and scanning detection experiments show that the system can successfully achieve multi-angle aerosol effective detection in whole day.Secondly,research on fine retrieval and fusion correction technology of atmospheric aerosol optical parameters was carried out.Using wavelet denoising technology and blind zone correction technology to achieve the correction and inversion of atmospheric aerosol extinction coefficients.Besides,accurate atmosph eric aerosol extinction coefficient profiles and backscattering coefficient profiles were obtained.The optical depth of the entire atmospheric aerosol was calculated by using the aerosol scaling height and visibility meter,which has a high positive correlation with the optical depth obtained by the solar photometer(the correlation coefficient reaches 0.99),and the maximum relative error is less than 16.57%.It shows that the fusion correction technology of lidar and visibility meter and solar photometer can obtain accurate atmospheric aerosol optical parameters,which provides reliable basic data support for the inversion of atmosp heric aerosol microphysical parameters and scattering parameters and the radiative transfer equation.Furthermore,research on the distribution of atmospheric aerosol particle was carried out.Using regularization algorithm to invert the particle volume spectrum,and verify the algorithm through the measured spectrum obtained by the bimodal lognormal spectrum model and the particle size spectrometer,the average error of inversion is less than 21.6%.Compared with the results of the whole layer aerosol particle volume spectrum calculated by the solar photometer,the algorithm is proved to be reliable.Finally,the optical-microphysical-scattering characteristics of atmospheric aerosols are retrieved b y lidar detection data.Especially,the asymmetry factor and single scattering albedo and scattering phase function of 33 layers(0-100 km)atmospheric aerosol particles in cloudy and haze day are discussed.In order to verify the accuracy of the results,brightness of direct solar radiation in the continuous detection period is calculated by lidar and SBDART.Compared with the results of the solar photometer,the two have a strong positive correlation,with a correlation coefficient of 0.994 and an average relative error which less than 7.657%.It has fully verified the feasibility of a series of retrieval algorithms for the optical-microphysical-scattering characteristics of at mospheric aerosols carried out by Lidar combined with multiple detection methods,which provides data support for solving radiative transfer equation and provides technical support for fine detection of slant visibility.