Samuel Meulé, Julián Pelaez-Quiñones, Frédéric Bouchette, Anthony Sladen, Aurélien Ponte, Annika Maier, Itzhak Lior, Paschal Coyle
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引用次数: 0
Abstract
Distributed Acoustic Sensing (DAS) is a photonics technology converting seafloor telecommunications and optical fiber cables into dense arrays of strain sensors, allowing to monitor various oceanic physical processes. Yet, several applications are hindered by the limited knowledge of the transfer function between geophysical variables and DAS measurements. This study investigates the quantitative relationship between surface gravity DAS-recorded wave-generated strain signals along the seafloor and the pressure at a colocated sensor. A remarkable linear correlation is found over various sea conditions allowing us to reliably determine significant wave heights from DAS data. Utilizing linear wave potential theory, we derive an analytical transfer function linking cable deformation and wave kinematic parameters. This transfer function provides a first quantification of the effects related to surface gravity waves and fiber responses. Our results validate DAS's potential for real-time reconstruction of the surface gravity wave spectrum over extended coastal areas. It also enables the estimation of waves hydraulic parameters at depth without the need from offshore deployments.
分布式声学传感(DAS)是一种将海底电信和光纤电缆转换成密集应变传感器阵列的光子学技术,可用于监测各种海洋物理过程。然而,由于对地球物理变量与 DAS 测量之间传递函数的了解有限,一些应用受到了阻碍。本研究调查了沿海底的表面重力 DAS 记录波产生的应变信号与同位传感器压力之间的定量关系。在各种海况下都发现了明显的线性相关关系,使我们能够根据 DAS 数据可靠地确定显著波高。利用线性波势理论,我们推导出了连接电缆变形和波浪运动学参数的分析传递函数。该传递函数首次量化了与表面重力波和光纤响应相关的影响。我们的研究结果验证了 DAS 在实时重建沿海大范围表面重力波谱方面的潜力。它还可以估算波浪深度的水力参数,而无需进行海上部署。
期刊介绍:
Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.