An empirical model for prediction of centimeter wave attenuation during haze event considering particle humidity and charge

Abstract

In order to ensure the operation of wireless communication and radar equipment during haze events, it is necessary to study the quantitative prediction of the attenuation coefficient of Electromagnetic wave (α) during haze events. The results of the dimensional analysis show that particle humidity (H_p) and particle charge-to-mass ratio (Q_m) are two important parameters that affect the propagation of electromagnetic waves. At the micro level, the influence of two parameters is introduced into the electromagnetic wave attenuation model through the core-shell structure. The results show that the H_p and Q_m will increasing α. Due to it being difficult to obtain the physical parameters in the micro-scale model by experimental methods. Therefore, this article analyzes the experimental data of Zhang et al. (2020b) and finds out that the change of α can be scaled by H_p, and Q_m mainly affects the slope term of the linear change of α with H_p. Based on these findings, an empirical model of α considering H_p and Q_m was proposed. The results show that the influence of H_p and Q_m during haze events with high humidity cannot be ignored. And, the relative humidity has the largest contribution to α, the particle charging has the second place, and the primary release of particulate matter has the smallest contribution. The advantage of this model is that it is not only simple in form and easy to apply, but also that the input required and model parameters can be measured with experimental methods.