| Aerosol particles are the main components of the atmosphere,which not only affect human lives and production,but also break the balance of the air system,and have a great influence on the atmospheric climate.Therefore,it is important to have further study on aerosol particle distribution information.Based on the logarithmic normal spectrum model,the particle spectrum inversion algorithm is studied in this paper.The simulation calculation and error analysis of multi-group original spectrum based on inversion algorithm are completed.Meanwhile,the atmospheric aerosol particle distribution in Xi’an is monitored and retrieved by using the high-power LED light source radar system.1.According to the theory of Mie scattering and the known logarithmic normal spectral model function,the optical parameters corresponding to the spectral distribution with the given wavelength are obtained.Based on regularization and mean value method,a particle spectral distribution inversion algorithm is designed.2.In order to obtain the optimal average interval of the reconstructed spectrum under different optical parameters,this paper studies the selection method of the optimal average interval of the reconstruction spectrum.On the basis of this research,the numerical simulation and error analysis of unimodal and bimodal logarithmic normal spectrum are carried out.The simulation results show that when the optical parameters of unimodal/bimodal logarithmic normal spectrum are 10β+10a and 6β+6α,the reconstruction results perfrom well and the relative error of the effective radius and volume is the minimal.3.Based on the theoretical design and simulation,the low layer atmospheric aerosol over the Xi’an University of technology is detected by using the LED source radar system with wavelength of 475nm,530nm and 625nm respectively.The measured signal is retrieved by using the particle inversion algorithm designed in paper.The inversion spectra results show that the relative errors of the optical parameters of particle spectrum distribution in sunny weather and sand dust weather are 0.5%and 0.9%respectively.The inversion results of the measured data are consistent with the actual weather conditions.The experimental results verify the feasibility of the particle inversion method used in paper,which provides a reliable method for the detection of atmospheric aerosol particle spectrum.The inversion method in this work also has the important reference value regarding other researches on particle spectral distribution. |
