Léa Bouffaut, Quentin Goestchel, Robin André Rørstadbotnen, Anthony Sladen, Arthur Hartog, Holger Klinck
{"title":"Estimating sound pressure levels from distributed acoustic sensing data using 20 Hz fin whale calls.","authors":"Léa Bouffaut, Quentin Goestchel, Robin André Rørstadbotnen, Anthony Sladen, Arthur Hartog, Holger Klinck","doi":"10.1121/10.0036351","DOIUrl":null,"url":null,"abstract":"<p><p>Distributed acoustic sensing (DAS) is a promising technology for underwater acoustics, but its instrumental response is still being investigated to enable quantitative measurements. We use fin whale 20 Hz calls to estimate the conversion between DAS-recorded strain and acoustic pressure. Our method is tested across three deployments on varied seafloor telecommunication cables and ocean basins. Results show that after accounting for well-established DAS response factors, a unique value for water compressibility provides a good estimate for the conversion. This work represents a significant step forward in characterizing DAS for marine monitoring and highlights potential limitations related to instrument noise floor.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 4","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JASA express letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1121/10.0036351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Distributed acoustic sensing (DAS) is a promising technology for underwater acoustics, but its instrumental response is still being investigated to enable quantitative measurements. We use fin whale 20 Hz calls to estimate the conversion between DAS-recorded strain and acoustic pressure. Our method is tested across three deployments on varied seafloor telecommunication cables and ocean basins. Results show that after accounting for well-established DAS response factors, a unique value for water compressibility provides a good estimate for the conversion. This work represents a significant step forward in characterizing DAS for marine monitoring and highlights potential limitations related to instrument noise floor.
分布式声学传感(DAS)是一项前景广阔的水下声学技术,但其仪器响应仍在研究之中,无法进行定量测量。我们利用长须鲸 20 Hz 的叫声来估算 DAS 记录的应变与声压之间的转换。我们的方法在不同的海底电信电缆和海洋盆地的三次部署中进行了测试。结果表明,在考虑了成熟的 DAS 响应因子后,水的可压缩性的唯一值为转换提供了良好的估计。这项工作标志着在描述用于海洋监测的 DAS 特性方面向前迈出了重要一步,并突出了与仪器本底噪声有关的潜在局限性。