Olson Derek R
Oceanography Department, Naval Postgraduate School, Monterey, California 99343, USA.
J Acoust Soc Am. 2023 Jan;153(1):586. doi: 10.1121/10.0016846.
In this work, a model is developed for the effect of seafloor interface roughness on passive estimates of the reflection coefficient. The main result is an expression for the total intensity reflection coefficient, with separate coherent and incoherent contributions. Assumptions of this model include constant sound speed in the ocean, stationary and Gaussian seafloor roughness, and ambient noise. Numerical examples for the coherent, incoherent, and total contributions to the intensity reflection coefficient are presented for halfspace and layered environments-all using the small slope approximation. To illustrate the potential parameter errors that results from using a flat interface wave model when roughness is present, a geoacoustic inversion is performed using the proposed model as input data. A joint roughness-geoacoustic inversion of simulated data using the proposed model was also performed. It was found that the true roughness and geoacoustic parameters can be inverted using this model, but the sensitivity to the outer scale of the rough surface has the highest error compared to the other parameters.
在这项工作中，开发了一个模型，用于研究海底界面粗糙度对反射系数被动估计的影响。主要结果是给出了总强度反射系数的表达式，其中包括相干和非相干贡献。该模型的假设包括海洋中声速恒定、海底粗糙度为平稳高斯分布以及存在环境噪声。针对半空间和分层环境，给出了强度反射系数的相干、非相干和总贡献的数值示例——均使用小斜率近似法。为了说明存在粗糙度时使用平面界面波模型所导致的潜在参数误差，使用所提出的模型作为输入数据进行了地声反演。还使用所提出的模型对模拟数据进行了粗糙度 - 地声联合反演。结果发现，使用该模型可以反演真实的粗糙度和地声参数，但与其他参数相比，对粗糙表面外尺度的敏感度误差最大。
