Effects of rough surface on sound propagation in shallow water

doi:10.1088/1674-1056/28/1/014302

Abstract

Underwater acoustic applications depend critically on the prediction of sound propagation, which can be significantly affected by a rough surface, especially in shallow water. This paper aims to investigate how randomly fluctuating surface influences transmission loss (TL) in shallow water. The one-dimension wind-wave spectrum, Monterey-Miami parabolic equation (MMPE) model, Monte Carlo method, and parallel computing technology are combined to investigate the effects of different sea states on sound propagation. It is shown that TL distribution properties are related to the wind speed, frequency, range, and sound speed profile. In a homogenous waveguide, with wind speed increasing, the TLs are greater and more dispersive. For a negative thermocline waveguide, when the source is above the thermocline and the receiver is below that, the effects of the rough surface are the same and more significant. When the source and receiver are both below the thermocline, the TL distributions are nearly the same for different wind speeds. The mechanism of the different TL distribution properties in the thermocline environment is explained by using ray theory. In conclusion, the statistical characteristics of TL are affected by the relative roughness of the surface, the interaction strength of the sound field with the surface, and the changes of propagating angle due to refraction.

Keywords: surface fluctuation shallow water transmission loss statistical characteristics

Received: 07 August 2018
Revised: 17 October 2018
Accepted manuscript online:

PACS:	43.30.+m	(Underwater sound)
	43.30.Hw	(Rough interface scattering)

Fund:

Project supported by the National Natural Science Foundation of China (Grant Nos. 11434012, 11874061, and 41561144006).

Corresponding Authors: Zheng-Lin Li
E-mail: lzhl@mail.ioa.ac.cn

Cite this article:

Ruo-Yun Liu(刘若芸), Zheng-Lin Li(李整林) Effects of rough surface on sound propagation in shallow water 2019 Chin. Phys. B 28 014302

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