Utilizing High-Frequency Acoustic Backscatter to Estimate Bottom Sand Ripple Parameters
Utilizing High-Frequency Acoustic Backscatter to Estimate Bottom Sand Ripple Parameters
复制标题
利用高频声学后向散射估计底砂波纹参数
DOI：
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复制
发表时间：
2009
影响因子：
4.1
通讯作者：
E. Thorsos
中科院分区：
文献类型：
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作者：
D. Tang;K. Williams;E. Thorsos
在水声学的一些应用中，了解浅水沉积物上的波纹结构非常重要。例如，通过波纹声音散射来预测埋藏目标检测关键取决于波纹高度和空间波长。另一个例子是沉积物迁移的研究，了解波纹结构及其随时间的演变有助于了解底部的强迫和沉积物的响应。这里，来自 300kHz 系统的反向散射数据用于表明，可以通过简单的反演公式从反向散射图像中估计波纹波长和高度。反演结果与使用独立测量系统对纹波场的现场测量一致。受反向散射数据的启发，我们开发了一个时域数值模型来模拟波纹场对高频声音的散射。该模型将小尺度散射体视为随机分布在大尺度波纹场上的朗伯散射体。进行数值模拟以研究可以遥感底部波纹高度、波长及其功率谱的条件。
In some applications of underwater acoustics, it is important to know the ripple structure on shallow-water sediments. For example, the prediction of buried target detection via sound scattering by ripples depends critically on the ripple height and spatial wavelength. Another example is the study of sediment transport, where knowing the ripple structure and its evolution over time helps to understand the forcing on the bottom and the response of sediments. Here, backscatter data from a 300-kHz system are used to show that ripple wavelength and height can be estimated from backscatter images via a simple inversion formula. The inversion results are consistent with in situ measurements of the ripple field using an independent measurement system. Motivated by the backscatter data, we have developed a time-domain numerical model to simulate scattering of high-frequency sound by a ripple field. This model treats small-scale scatterers as Lambertian scatterers distributed randomly on the large-scale ripple field. Numerical simulations are conducted to investigate the conditions under which remote sensing of bottom ripple heights, wavelength, and its power spectrum is possible.