Locating the Precise Sources of High-Frequency Microseisms Using Distributed Acoustic Sensing
dc.contributor.author | Xiao, Han | |
dc.contributor.author | Tanimoto, Toshiro | |
dc.contributor.author | Spica, Zack J. | |
dc.contributor.author | Gaite, Beatriz | |
dc.contributor.author | Ruiz-Barajas, Sandra | |
dc.contributor.author | Pan, Mohan | |
dc.contributor.author | Viens, Loïc | |
dc.date.accessioned | 2022-10-05T15:51:37Z | |
dc.date.available | 2023-10-05 11:51:35 | en |
dc.date.available | 2022-10-05T15:51:37Z | |
dc.date.issued | 2022-09-16 | |
dc.identifier.citation | Xiao, Han; Tanimoto, Toshiro; Spica, Zack J.; Gaite, Beatriz; Ruiz-Barajas, Sandra ; Pan, Mohan; Viens, Loïc (2022). "Locating the Precise Sources of High- Frequency Microseisms Using Distributed Acoustic Sensing." Geophysical Research Letters 49(17): n/a-n/a. | |
dc.identifier.issn | 0094-8276 | |
dc.identifier.issn | 1944-8007 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/174919 | |
dc.description.abstract | Although microseisms have been observed for more than 100 years, the precise locations of their excitation sources in the oceans are still elusive. Underwater Distributed Acoustic Sensing (DAS) brings new opportunities to study microseism generation mechanisms. Using DAS data off the coast of Valencia, Spain, and applying a cross-correlation approach, we show that the sources of high-frequency microseisms (0.5–2 Hz) are confined between 7 and 27 km from the shore, where the water depth varies from 25 to 100 m. Over time, we observe that these sources move quickly along narrow areas, sometimes within a few kilometers. Our methodology applied to DAS data allows us to characterize microseisms with a high spatiotemporal resolution, providing a new way of understanding these global and complex seismic phenomena happening in the oceans.Plain Language SummaryMicroseisms are a type of seismic noise that is ubiquitous on Earth and has been studied for over 100 years. However, we still have no way of knowing exactly where it is generated in the ocean. Recent advances in underwater fiber-optic sensing bring a tremendous opportunity to better understand the source mechanism of microseisms. We use seafloor Distributed Acoustic Sensing data to achieve for the first time a precise localization of the noise sources of high-frequency microseisms. We found that the sources of high-frequency microseisms are very narrow, often only a few kilometers. Moreover, the noise source area is constantly changing with the wind direction.Key PointsA fiber-optic cable on the seafloor is used to locate the sources of high-frequency microseisms with an unprecedented precisionThe sources of high-frequency microseisms quickly move within narrow areas of a few kilometersThe constantly changing source locations are most likely related to the ephemeral behaviors of wind | |
dc.publisher | CRC press | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | microseisms | |
dc.subject.other | DAS | |
dc.subject.other | seismic noise | |
dc.subject.other | ocean waves | |
dc.subject.other | Scholte waves | |
dc.subject.other | wind | |
dc.title | Locating the Precise Sources of High-Frequency Microseisms Using Distributed Acoustic Sensing | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Geological Sciences | |
dc.subject.hlbtoplevel | Science | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/174919/1/2022GL099292-sup-0001-Supporting_Information_SI-S01.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/174919/2/grl64775.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/174919/3/grl64775_am.pdf | |
dc.identifier.doi | 10.1029/2022GL099292 | |
dc.identifier.source | Geophysical Research Letters | |
dc.identifier.citedreference | Sladen, A., Rivet, D., Ampuero, J. P., De Barros, L., Hello, Y., Calbris, G., & Lamare, P. ( 2019 ). Distributed sensing of earthquakes and ocean-solid Earth interactions on seafloor telecom cables. Nature Communications, 10 ( 1 ), 5777. https://doi.org/10.1038/s41467-019-13793-z | |
dc.identifier.citedreference | Koper, K. D., & Burlacu, R. ( 2015 ). The fine structure of double-frequency microseisms recorded by seismometers in North America. Journal of Geophysical Research: Solid Earth, 120 ( 3 ), 1677 – 1691. https://doi.org/10.1002/2014JB011820 | |
dc.identifier.citedreference | Koper, K. D., Seats, K., & Benz, H. ( 2010 ). On the composition of Earth’s short-period seismic noise field. Bulletin of the Seismological Society of America, 100 ( 2 ), 606 – 617. https://doi.org/10.1785/0120090120 | |
dc.identifier.citedreference | Le Pape, F., Craig, D., & Bean, C. J. ( 2021 ). How deep ocean-land coupling controls the generation of secondary microseism Love waves. Nature Communications, 12 ( 1 ), 2332. https://doi.org/10.1038/s41467-021-22591-5 | |
dc.identifier.citedreference | Lindsey, N. J., Dawe, T. C., & Ajo-Franklin, J. B. ( 2019 ). Illuminating seafloor faults and ocean dynamics with dark fiber distributed acoustic sensing. Science, 366 ( 6469 ), 1103 – 1107. https://doi.org/10.1126/science.aay5881 | |
dc.identifier.citedreference | Longuet-Higgins, M. S. ( 1950 ). A theory of the origin of microseisms. Philosophical Transactions of the Royal Society of London A-Mathematical and Physical Sciences, 243 ( 857 ), 1 – 35. https://doi.org/10.1098/rsta.1950.0012 | |
dc.identifier.citedreference | Muanenda, Y. ( 2018 ). Recent advances in distributed acoustic sensing based on phase-sensitive optical time domain reflectometry. Journal of Sensors, 3897873. https://doi.org/10.1155/2018/3897873 | |
dc.identifier.citedreference | Nishida, K. ( 2017 ). Ambient seismic wave field. Proceedings of the Japan Academy, Series B, 93 ( 7 ), 423 – 448. https://doi.org/10.2183/pjab.93.026 | |
dc.identifier.citedreference | Nishida, K., & Takagi, R. ( 2016 ). Teleseismic S wave microseisms. Science, 353 ( 6302 ), 919 – 921. https://doi.org/10.1126/science.aaf7573 | |
dc.identifier.citedreference | Nolet, G., & Dorman, L. M. ( 1996 ). Waveform analysis of Scholte modes in ocean sediment layers. Geophysical Journal International, 125 ( 2 ), 385 – 396. https://doi.org/10.1111/j.1365-246X.1996.tb00006.x | |
dc.identifier.citedreference | Poli, P., Campillo, M., & Pedersen, H. ( 2012 ). Body-wave imaging of Earth’s mantle discontinuities from ambient seismic noise. Science, 338 ( 6110 ), 1063 – 1065. https://doi.org/10.1126/science.1228194 | |
dc.identifier.citedreference | Posey, R., Johnson, G. A., & Vohra, S. T. ( 2000 ). Strain sensing based on coherent Rayleigh scattering in an optical fibre. Electronics Letters, 36 ( 20 ), 1688 – 1689. https://doi.org/10.1049/el:20001200 | |
dc.identifier.citedreference | Pyle, M. L., Koper, K. D., Euler, G. G., & Burlacu, R. ( 2015 ). Location of high-frequency P wave microseismic noise in the Pacific Ocean using multiple small aperture arrays. Geophysical Research Letters, 42 ( 8 ), 2700 – 2708. https://doi.org/10.1002/2015GL063530 | |
dc.identifier.citedreference | Retailleau, L., & Gualtieri, L. ( 2021 ). Multi-phase seismic source imprint of tropical cyclones. Nature Communications, 12 ( 1 ), 2064. https://doi.org/10.1038/s41467-021-22231-y | |
dc.identifier.citedreference | Scholte, J. G. J. ( 1958 ). Rayleigh waves in isotropic and anisotropic elastic media, Staatsdr.- en Uitgeverijledrijf. Retrieved from https://books.google.com/books?id=ETNHGQAACAAJ | |
dc.identifier.citedreference | Shapiro, N. M., Campillo, M., Stehly, L., & Ritzwoller, M. H. ( 2005 ). High-resolution surface-wave tomography from ambient seismic noise. Science, 307 ( 5715 ), 1615 – 1618. https://doi.org/10.1126/science.1108339 | |
dc.identifier.citedreference | Spica, Z. J., Gaite, B., & Ruiz-Barajas, S. ( 2020 ). The Valencia-Islalink Distributed Acoustic Sensing Experiment. [Data Set]. PubDAS. https://doi.org/10.7914/SN/ZH_2020 | |
dc.identifier.citedreference | Spica, Z. J., Nishida, K., Akuhara, T., Pétrélis, F., Shinohara, M., & Yamada, T. ( 2020 ). Marine sediment characterized by ocean-bottom fiber-optic seismology. Geophysical Research Letters, 47 ( 16 ), e2020GL088360. https://doi.org/10.1029/2020GL088360 | |
dc.identifier.citedreference | Tanimoto, T. ( 2007 ). Excitation of microseisms. Geophysical Research Letters, 34 ( 5 ). https://doi.org/10.1029/2006gl029046 | |
dc.identifier.citedreference | Toksöz, M. N., & Lacoss, R. T. ( 1968 ). Microseisms: Mode structure and sources. Science, 159 ( 3817 ), 872 – 873. https://doi.org/10.1126/science.159.3817.872 | |
dc.identifier.citedreference | Tolman, H. L. ( 2009 ). User manual and system documentation of WAVEWATCH III TM version 3.14. J Technical note, MMAB Contribution, 276, 220. | |
dc.identifier.citedreference | Wiechert, E. ( 1904 ). Discussion, Verhandlung der zweiten internationalen seismologischen Konferenz. Beitrage zur Geophysik, 2, 41 – 43. | |
dc.identifier.citedreference | Williams, E. F., Fernández-Ruiz, M. R., Magalhaes, R., Vanthillo, R., Zhan, Z., González-Herráez, M., & Martins, H. F. ( 2019 ). Distributed sensing of microseisms and teleseisms with submarine dark fibers. Nature Communications, 10 ( 1 ), 5778. https://doi.org/10.1038/s41467-019-13262-7 | |
dc.identifier.citedreference | Xiao, H., Tanimoto, T., & Xue, M. ( 2021 ). Study of S-wave microseisms generated by storms in the southeast Australia and north Atlantic. Geophysical Research Letters, 48 ( 15 ), e2021GL093728. https://doi.org/10.1029/2021GL093728 | |
dc.identifier.citedreference | Xiao, H., Xue, M., Yang, T., Liu, C., Hua, Q., Xia, S., et al. ( 2018 ). The characteristics of microseisms in south China sea: Results from a combined data set of OBSs, broadband land seismic stations, and a global wave height model. Journal of Geophysical Research: Solid Earth, 123 ( 5 ), 3923 – 3942. https://doi.org/10.1029/2017JB015291 | |
dc.identifier.citedreference | Zhang, J., Gerstoft, P., & Shearer, P. M. ( 2009 ). High-frequency P-wave seismic noise driven by ocean winds. Geophysical Research Letters, 36 ( 9 ), L09302. https://doi.org/10.1029/2009GL037761 | |
dc.identifier.citedreference | Capon, J. ( 1969 ). High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57 ( 8 ), 1408 – 1418. https://doi.org/10.1109/proc.1969.7278 | |
dc.identifier.citedreference | Dahlen, F. A., & Tromp, J. ( 2021 ). Princeton University Press. https://doi.org/10.1515/9780691216157 | |
dc.identifier.citedreference | Schweitzer, J., Fyen, J., Mykkeltveit, S., Kværna, T., & Bormann, P. ( 2002 ). Seismic arrays. In IASPEI new manual of seismological observatory practice (pp. 1 – 51 ). | |
dc.identifier.citedreference | Ardhuin, F., Gualtieri, L., & Stutzmann, E. ( 2015 ). How ocean waves rock the Earth: Two mechanisms explain microseisms with periods 3 to 300 s. Geophysical Research Letters, 42 ( 3 ), 765 – 772. https://doi.org/10.1002/2014GL062782 | |
dc.identifier.citedreference | Ardhuin, F., & Herbers, T. H. C. ( 2013 ). Noise generation in the solid Earth, oceans and atmosphere, from nonlinear interacting surface gravity waves in finite depth. Journal of Fluid Mechanics, 716, 316 – 348. https://doi.org/10.1017/jfm.2012.548 | |
dc.identifier.citedreference | Ardhuin, F., Stutzmann, E., Schimmel, M., & Mangeney, A. ( 2011 ). Ocean wave sources of seismic noise. Journal of Geophysical Research, 116 ( C9 ), C09004. https://doi.org/10.1029/2011JC006952 | |
dc.identifier.citedreference | Brenguier, F., Campillo, M., Hadziioannou, C., Shapiro, N. M., Nadeau, R. M., & Larose, E. ( 2008 ). Postseismic relaxation along the San Andreas Fault at Parkfield from continuous seismological observations. Science, 321 ( 5895 ), 1478 – 1481. https://doi.org/10.1126/science.1160943 | |
dc.identifier.citedreference | Brenguier, F., Shapiro, N. M., Campillo, M., Ferrazzini, V., Duputel, Z., Coutant, O., & Nercessian, A. ( 2008 ). Towards forecasting volcanic eruptions using seismic noise. Nature Geoscience, 1 ( 2 ), 126 – 130. https://doi.org/10.1038/ngeo104 | |
dc.identifier.citedreference | Bromirski, P. D., Stephen, R. A., & Gerstoft, P. ( 2013 ). Are deep-ocean-generated surface-wave microseisms observed on land? Journal of Geophysical Research: Solid Earth, 118 ( 7 ), 3610 – 3629. Retrieved from https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/jgrb.50268 | |
dc.identifier.citedreference | Denolle, M. A., Dunham, E. M., Prieto, G. A., & Beroza, G. C. ( 2014 ). Strong ground motion prediction using virtual earthquakes. Science, 343 ( 6169 ), 399 – 403. https://doi.org/10.1126/science.1245678 | |
dc.identifier.citedreference | Gal, M., Reading, A., Ellingsen, S., Koper, K., & Burlacu, R. ( 2017 ). Full wavefield decomposition of high-frequency secondary microseisms reveals distinct arrival azimuths for Rayleigh and Love waves. Journal of Geophysical Research: Solid Earth, 122 ( 6 ), 4660 – 4675. https://doi.org/10.1002/2017JB014141 | |
dc.identifier.citedreference | Group, T. W. ( 1988 ). The WAM model—A third generation ocean wave prediction model. Journal of Physical Oceanography, 18 ( 12 ), 1775 – 1810. https://doi.org/10.1175/1520-0485(1988)018<1775:twmtgo>2.0.co;2 | |
dc.identifier.citedreference | Guerin, G., Rivet, D., van den Ende, M. P. A., Stutzmann, E., Sladen, A., & Ampuero, J.-P. ( 2022 ). Quantifying microseismic noise generation from coastal reflection of gravity waves recorded by seafloor DAS. Geophysical Journal International, 231 ( 1 ), 394 – 407. https://doi.org/10.1093/gji/ggac200 | |
dc.identifier.citedreference | Hartog, A. H. ( 2017 ). An introduction to distributed optical fibre sensors. CRC press. | |
dc.identifier.citedreference | Hasselmann, K. ( 1963 ). A statistical analysis of the generation of microseisms. Reviews of Geophysics, 1 ( 2 ), 177 – 210. https://doi.org/10.1029/RG001i002p00177 | |
dc.identifier.citedreference | Kedar, S., Longuet-Higgins, M., Webb, F., Graham, N., Clayton, R., & Jones, C. ( 2008 ). The origin of deep ocean microseisms in the North Atlantic Ocean. Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, 464 ( 2091 ), 777 – 793. https://doi.org/10.1098/rspa.2007.0277 | |
dc.working.doi | NO | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.