Effect of statistical positional correlation on the radiative property investigation of dispersed particulate medium

Spectral radiative transfer between particles of dispersed particulate medium is prevalent in various fields, which may be affected by particle distribution when considering dependent scattering effect (DSE). Meanwhile, statistical positional correlation (SPC) describes the possible existing order of particle distribution in the spatial variation for disordered dispersed particulate medium. SPC plays a pivotal role in the transformation of radiative transfer regimes between particles. However, the existing theory lacks a precise criterion for describing SPC and fails to comprehensively consider key factors within SPC influencing radiative transfer regimes, such as mean distance, relative distance, standard deviation, cluster, and aggregation. To achieve more representative and accurate results of radiative property calculations while minimizing computational resources, we proposed MRSDL (Mean distance, Relative distance, Standard deviation, Density-based clustering, and Line matrix) criterion combined with particle swarm optimization (PSO) for characterizing and regulating SPC. Moreover, to further achieve the statistical averaging of radiative properties precisely, the multiple sphere T-matrix (MSTM) method is combined to eliminate the random fluctuations of radiative properties caused by SPC. Compared to the conventional method, the method by authors can decrease error between experimental and calculation data from 41.23 % to 5.32 %, when considering the effect of SPC on the radiative property.