A reciprocal acoustic transmission experiment for precise observations of tidal currents in a shallow sea
A reciprocal acoustic transmission experiment for precise observations of tidal currents in a shallow sea
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DOI：
10.1016/j.oceaneng.2020.108292
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发表时间：
2020-10
影响因子：
5
通讯作者：
N. Taniguchi;Toshiyuki Takahashi;Kengo Yoshiki;H. Yamamoto;Aruni Dinan Hanifa;Y. Sakuno;Hidemi Mutsuda-Hidemi
中科院分区：
文献类型：
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作者：
N. Taniguchi;Toshiyuki Takahashi;Kengo Yoshiki;H. Yamamoto;Aruni Dinan Hanifa;Y. Sakuno;Hidemi Mutsuda-Hidemi
洋流观测是海洋科学与工程领域的重要信息。相互声学传输有可能在沿海海域实际测量潮流。本研究调查的能力的相互传输来测量潮流，特别是在高频变化。我们于2019年10月在日本濑户内海的复杂海岸线区域进行了相互声学传输实验。在这个实验中，使用了突发传输，系统进行了6次传输，每10分钟之间的间隔为1分钟。估计的路径平均电流同意从船载声学多普勒海流剖面仪（ADCP）每小时获得的电流，并捕捉到高频变化，没有捕捉到每小时的ADCP观测。估算的海流的测量噪声（被确定为六次传输中的变化）为2.5 cm s-1，即使是周期远短于M2潮汐的变化，也足以跟踪海流在时间序列上的变化。当应用反演或数据同化方法时，相互传输捕获高频变化的能力将提高再现流速场的能力。
Observations of ocean currents are important information in the fields of ocean science and engineering. Reciprocal acoustic transmissions have the potential to operationally measure tidal currents in coastal seas. This study investigates the capability of the reciprocal transmissions to measure tidal currents, particularly in relation to high-frequency variations. We conducted a reciprocal acoustic transmission experiment in an area of complex coastlines in the Seto Inland Sea, Japan, in October 2019. During this experiment, a burst transmission was used, and the system performed six transmissions with 1-min intervals between them every 10 min. The estimated path-averaged currents agreed with the currents obtained from a shipboard acoustic Doppler current profiler (ADCP) on an hourly basis and had captured high-frequency variations that were not captured by the hourly ADCP observations. The measurement noise of the estimated currents, which was determined as the variation within the six transmissions, was 2.5 cm s−1and was small enough to trace the variations in the currents over the time series even for the variations with periods considerably shorter than M2 tide. The reciprocal transmission’s capability to capture high-frequency variations will improve the capability to reproduce current velocity fields when inversion or data assimilation methods are applied.