Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing Data
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 tr...
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2024-11-01
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| Series: | Earth and Space Science |
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| Online Access: | https://doi.org/10.1029/2024EA003589 |
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| author | Samuel Meulé Julián Pelaez‐Quiñones Frédéric Bouchette Anthony Sladen Aurélien Ponte Annika Maier Itzhak Lior Paschal Coyle |
| author_facet | Samuel Meulé Julián Pelaez‐Quiñones Frédéric Bouchette Anthony Sladen Aurélien Ponte Annika Maier Itzhak Lior Paschal Coyle |
| author_sort | Samuel Meulé |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5d64ecea19aa4b2cacc3b9eb30a574b4 |
| institution | Kabale University |
| issn | 2333-5084 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Earth and Space Science |
| spelling | doaj-art-5d64ecea19aa4b2cacc3b9eb30a574b42024-12-14T03:25:53ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842024-11-011111n/an/a10.1029/2024EA003589Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing DataSamuel Meulé0Julián Pelaez‐Quiñones1Frédéric Bouchette2Anthony Sladen3Aurélien Ponte4Annika Maier5Itzhak Lior6Paschal Coyle7Aix Marseille Univ CNRS IRD INRAE CEREGE Aix‐en‐Provence FranceObservatoire de la Côte d'Azur Géoazur CNRS IRD Universite Côte d'Azur Valbonne FranceGeosciences‐Montpellier CNRS University of Montpellier Montpellier FranceObservatoire de la Côte d'Azur Géoazur CNRS IRD Universite Côte d'Azur Valbonne FranceLaboratoire d'Océanographie Physique et Spatiale CNRS IFREMER IRD IUEM Université de Brest Brest FranceKarlsruhe Institute of Technology Karlsruhe GermanyInstitute of Earth Sciences The Hebrew University Jerusalem IsraelCNRS/IN2P3 CPPM Aix‐Marseille Univ. Marseille FranceAbstract 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.https://doi.org/10.1029/2024EA003589distributed acoustic sensing (DAS)pressure sensorwave‐generated strain signalscoastal waveslinear theorytransfer function |
| spellingShingle | Samuel Meulé Julián Pelaez‐Quiñones Frédéric Bouchette Anthony Sladen Aurélien Ponte Annika Maier Itzhak Lior Paschal Coyle Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing Data Earth and Space Science distributed acoustic sensing (DAS) pressure sensor wave‐generated strain signals coastal waves linear theory transfer function |
| title | Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing Data |
| title_full | Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing Data |
| title_fullStr | Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing Data |
| title_full_unstemmed | Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing Data |
| title_short | Reconstruction of Nearshore Surface Gravity Wave Heights From Distributed Acoustic Sensing Data |
| title_sort | reconstruction of nearshore surface gravity wave heights from distributed acoustic sensing data |
| topic | distributed acoustic sensing (DAS) pressure sensor wave‐generated strain signals coastal waves linear theory transfer function |
| url | https://doi.org/10.1029/2024EA003589 |
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