Observation and Inversion of Aerosol Particle Size Distribution over Yinchuan Area

被引:3
作者
Mao, Jiandong [1 ,2 ]
Ren, Yali [1 ,2 ]
Li, Juan [1 ,2 ]
Wang, Qiang [1 ,2 ]
Zhang, Yi [1 ,2 ]
机构
[1] North Minzu Univ, Sch Elect & Informat Engn, North Wenchang Rd, Yinchuan 750021, Ningxia, Peoples R China
[2] Key Lab Atmospher Environm Remote Sensing Ningxia, North Wenchang Rd, Yinchuan 750021, Ningxia, Peoples R China
基金
中国国家自然科学基金;
关键词
aerosol particle size distribution; Mie scattering theory; TSVD regularization; Tikhonov regularization algorithms; the Fredholm integration equation of first kind; Yinchuan area; backward trajectory; OPTICAL-PROPERTIES; RETRIEVAL; REGULARIZATION; ALGORITHM;
D O I
10.3390/atmos12080992
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particle size distribution is one of the important microphysical parameters to characterize the aerosol properties. The aerosol optical depth is used as the function of wavelength to study the particle size distribution of whole atmospheric column. However, the inversion equation of the particle size distribution from the aerosol optical depth belongs to the Fredholm integral equation of the first kind, which is usually ill-conditioned. To overcome this drawback, the integral equation is first discretized directly by using the complex trapezoid formula. Then, the corresponding parameters are selected by the L curve method. Finally the truncated singular value decomposition regularization method is employed to regularize the discrete equation and retrieve the particle size distribution. To verify the feasibility of the algorithm, the aerosol optical depths taken by a sun photometer CE318 over Yinchuan area in four seasons, as well as hazy, sunny, floating dusty and blowing dusty days, were used to retrieve the particle size distribution. In order to verify the effect of truncated singular value decomposition algorithm, the Tikhonov regularization algorithm was also adopted to retrieve the aerosol PSD. By comparing the errors of the two regularizations, the truncated singular value decomposition regularization algorithm has a better retrieval effect. Moreover, to understand intuitively the sources of aerosol particles, the backward trajectory was used to track the source. The experiment results show that the truncated singular value decomposition regularization method is an effective method to retrieve the particle size distribution from aerosol optical depth.
引用
收藏
页数:17
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