Application of acoustic tomography in shallow waters

M. Razaz, L. Zedel, A. Hay, K. Kawanisi, Noriaki Goda
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Abstract

This paper briefly introduces a state-of-the-art timeof- travel sensor that enables application of acoustic tomography for measuring range-averaged current velocity in extremely shallow waters. The system is called Fluvial Acoustic Tomography and has been developed in Hiroshima University. The paper presents two experiments, the first of which aims at evaluating FAT accuracy in measuring mean flow direction and velocity in an estuarine environment characterized by strong stratification. Second study investigates the applicability of FAT for long-term continuous monitoring of tidal currents in a narrow strait, where is a potential site for installation of a small tidal turbine. During each experiment a set of reference data was collected using a moving-boat ADCP. The results obtained in the first campaign indicate remarkable consistency between FAT and ADCP. It was found that the relative error in the mean flow directions reported by FAT and ADCP did not exceed 10%. The results obtained in the second experiment indicate the agreement between tomographically derived velocities with ADCP in coastal areas. The results also signify the importance of angularity error involved in recovering flow velocity when FAT with only one raypath is used.
声层析成像在浅水中的应用
本文简要介绍了一种先进的走时传感器,该传感器可以应用声层析成像技术测量极浅水域的距离平均流速。该系统被称为河流声波断层成像,由广岛大学开发。本文提出了两个实验,第一个实验旨在评价FAT在强分层河口环境中测量平均流向和流速的精度。第二项研究调查了FAT在狭窄海峡长期连续监测潮流的适用性,该海峡是安装小型潮汐涡轮机的潜在地点。在每次实验中,使用移动船ADCP收集一组参考数据。在第一次运动中获得的结果表明FAT和ADCP之间具有显著的一致性。发现FAT和ADCP报告的平均流向的相对误差不超过10%。在第二次实验中得到的结果表明,层析导出的速度与沿海地区的ADCP一致。结果还表明,当仅使用一条射线路径时,倾角误差对恢复流速的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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