Fast estimation algorithm of sound field characteristics under the disturbance of sound in the marine environment

In the context of acoustics, underwater sound propagation is intricately influenced by conditions of the marine environment. These conditions dynamically alter the sound speed profile (SSP), introducing a high level of variability and uncertainty into SSP predictions. Such uncertainties are incorporated into the acoustical model, affecting the accuracy of forecasting sound propagation characteristics, including ray trajectory and propagation loss. This study introduces and applies a stochastic ray model designed to estimate the ray trajectory and propagation loss within the oceanic environment. We specifically examine the effects of SSP changes on sound propagation. Our approach integrates ray theory with an adaptive dynamic orthogonal differential equation to model stochastic evolution fields. Initially, this research utilizes SSPs gathered from the Philippine Sea and Kuroshio Extension region. We investigates the impact of SSP perturbation on the ray trajectory and propagation loss. Following this preliminary analysis, we present a stochastic ray model tailored for rapid estimation of sound field characteristics, premised on effects of the SSP disturbance. The proposed model achieves high accuracy while substantially diminishing the computational complexity compared with the Bellhop model.