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Long-term seismic network in South China Sea by floating MERMAIDs

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Abstract

Seismic data coverage in ocean regions is sparse, and it is highly challenging to build long-term continuous seismic networks in the oceans due to the restrictions related to the shortage of instruments and great costs. The lack of data coverage limits effective seismic imaging of deep mantle structures beneath the oceans, which cover 70% of the Earth’s surface. The newly developed Mobile Earthquake Recorder in Marine Areas by Independent Drivers (MERMAID) can drift with ocean currents at a specified depth while recording seismic signals. The Southern University of Science and Technology (SUSTech) launched 10 MERMAIDs in the South China Sea (SCS) in May 2021 that formed the South China Sea Floating Seismic Network (SCS-FSN). We analyzed the one-year-long records of the SCS-FSN, identifying 372 cataloged earthquakes and acquiring 1,015 high-quality travel time data. By analyzing the records of earthquakes with magnitudes above 7.0 and conducting synthetic waveform calculation, we found that, in addition to the epicentral distance and earthquake magnitude, the earthquake identification ability of the network is also affected by the focal mechanism, sea condition, seafloor relief, and MERMAID working state. Although the recognition rate of the SCS-FSN is only 16% for earthquakes with magnitudes above 5.5 and epicentral distances less than 90°, this network is expected to collect more than 5,000 high-quality travel time data during its five-year battery life. These new data will significantly improve the seismic data coverage, compensating for the lack of long-term continuous seismic network observations in the SCS. Most importantly, with this experiment, we are confident that setting up well-designed floating seismic networks in the world’s three oceans could solve the world-class problem of the lack of effective seismic data coverage beneath ocean regions.

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References

  • Allen R V. 1978. Automatic earthquake recognition and timing from single traces. Bull Seismol Soc Am, 68: 1521–1532

    Google Scholar 

  • Ardhuin F, Gualtieri L, Stutzmann E, Nakata N, Fichtner A. 2019. Physics of ambient noise generation by ocean waves. In: Nakata N, Gualtieri L, Fichtner A, eds. Seismic Ambient Noise. Cambridge: Cambridge Unversity Press. 69–108

    Google Scholar 

  • Ballard S, Hipp J R, Begnaud M L, Young C J, Encarnacao A V, Chael E P, Phillips W S. 2016. SALSA3D: A tomographic model of compressional wave slowness in the Earth’s mantle for improved travel-time prediction and travel-time prediction uncertainty. Bull Seismol Soc Amer, 106: 2900–2916

    Google Scholar 

  • Bonnieux S, Hello Y. 2019. MERMAID Profiler: User Manual. Osean Technology Co., Ref: 452.010.852

  • Boore D M. 1973. The effect of simple topography on seismic waves: Implications for the accelerations recorded at Pacoima Dam, San Fernando Valley, California. Bull Seismol Soc Amer, 63: 1603–1609

    Google Scholar 

  • Bouchon M. 1973. Effect of topography on surface motion. Bull Seismol Soc Amer, 63: 615–632

    Google Scholar 

  • Bouckovalas G D, Papadimitriou A G. 2005. Numerical evaluation of slope topography effects on seismic ground motion. Soil Dyn Earthq Eng, 25: 547–558

    Google Scholar 

  • Chen Y J, Nolet G. 2016. A complete tomography of the Earth’s interior with floating seismometers in the oceans: The EarthScope-Oceans. American Geophysical Union Fall Meeting, Abstract S31D-07

  • China Array. 2006. China Seismic Array Waveform Data. China Earthquake Administration, https://doi.org/10.12001/ChinArray.Data

  • Davis R E, Sherman J T, Dufour J 2001. Profiling ALACEs and other advances in autonomous subsurface floats. J Atmos Ocean Technol, 18: 982–993

    Google Scholar 

  • Ding W W, Huang H C, Zhu X K, Sun G Q, Niu X W. 2019. New mobile oceanic seismic recording system and its application in marine seismic exploration (in Chinese). Prog Geophys, 34: 292–296

    Google Scholar 

  • Dziewonski A M, Chou T A, Woodhouse J H. 1981. Determination of earthquake source parameters from waveform data for studies of global and regional seismicity. J Geophys Res-Solid Earth, 86: 2825–2852

    Google Scholar 

  • Dziewonski A M, Hager B H, O’Connell R J. 1977. Large-scale heterogeneities in the lower mantle. J Geophys Res-Solid Earth, 82: 239–255

    Google Scholar 

  • Eilon Z C, Gaherty J B, Zhang L, Russell J, McPeak S, Phillips J, Forsyth D W, Ekström G. 2021. The Pacific OBS Research into Convecting Asthenosphere (ORCA) experiment. Seismol Res Lett, 93: 477–493

    Google Scholar 

  • Ekström G, Nettles M, Dziewoński A M. 2012. The global CMT project 2004–2010: Centroid-moment tensors for 13,017 earthquakes. Phys Earth Planet Inter, 200–201: 1–9

    Google Scholar 

  • Ge Z, Chen X. 2008. An efficient approach for simulating wave propagation with the boundary element method in multilayered media with irregular interfaces. Bull Seismol Soc Amer, 98: 3007–3016

    Google Scholar 

  • Grand S P. 2002. Mantle shear-wave tomography and the fate of subducted slabs. Philos Trans R Soc Ser A, 360: 2475–2491

    Google Scholar 

  • Han S, Zhang H, Xin H, Shen W, Yao H. 2021. USTClitho2.0: Updated unified seismic tomography models for continental china lithosphere from joint inversion of body-wave arrival times and surface-wave dispersion data. Seismol Res Lett, 93: 201–215

    Google Scholar 

  • Huang J, Zhao D. 2006. High-resolution mantle tomography of China and surrounding regions. J Geophys Res-Solid Earth, 111: B09305

    Google Scholar 

  • Huang Z, Wang L, Xu M, Zhao D, Mi N, Yu D. 2019. P and S wave tomography beneath the SE Tibetan Plateau: Evidence for lithospheric delamination. J Geophys Res-Solid Earth, 124: 10292–10308

    Google Scholar 

  • Huang Z, Zhao D, Wang L. 2015. P wave tomography and anisotropy beneath Southeast Asia: Insight into mantle dynamics. J Geophys Res-Solid Earth, 120: 5154–5174

    Google Scholar 

  • Iannaccone G, Pucciarelli G, Guardato S, Donnarumma G P, Macedonio G, Beranzoli L. 2020. When the hydrophone works as an accelerometer. Seismol Res Lett, 92: 365–377

    Google Scholar 

  • Joubert C, Nolet G, Bonnieux S, Deschamps A, Dessa J, Hello Y. 2015. P-delays from floating seismometers (MERMAID), Part I: Data processing. Seismol Res Lett, 87: 73–80

    Google Scholar 

  • Kanamori H. 1974. A new view of earthquakes. In: Kanamori H, Boschi E, eds. Physics of the Earth (A Modern View of the Earth) (in Japanese). Tokyo: Physical Society of Japan, Maruzen. 261–282

    Google Scholar 

  • Kárason H, van der Hilst R D. 2001. Tomographic imaging of the lowermost mantle with differential times of refracted and diffracted core phases (PKP, P diff). J Geophys Res-Solid Earth, 106: 6569–6587

    Google Scholar 

  • Kennett B L N, Engdahl E R. 1991. Traveltimes for global earthquake location and phase identification. Geophys J Int, 105: 429–465

    Google Scholar 

  • Le B M, Lin J, Yang T, Shiyan3 S P O R. 2017. Southern mariana OBS experiment and preliminary results of passive-source investigations. American Geophysical Union Fall Meeting, Abstract OS53A-1159

  • Li C, van der Hilst R D, Engdahl E R, Burdick S. 2008. A new global model for P wave speed variations in Earth’s mantle. Geochem Geophys Geosyst, 9: Q05018

    Google Scholar 

  • Liu C, Hua Q, Pei Y, Yang T, Xia S, Xue M, Le B M, Huo D, Liu F, Huang H. 2014. Passive-source ocean bottom seismograph (OBS) array experiment in South China Sea and data quality analyses. Chin Sci Bull, 59: 4524–4535

    Google Scholar 

  • Montelli R, Nolet G, Dahlen F A, Masters G, Engdahl E R, Hung S H. 2004. Finite-frequency tomography reveals a variety of plumes in the mantle. Science, 303: 338–343

    Google Scholar 

  • Nolet G, Hello Y, Lee S, Bonnieux S, Ruiz M C, Pazmino N A, Deschamps A, Regnier M M, Font Y, Chen Y J, Simons F J. 2019. Imaging the Galápagos mantle plume with an unconventional application of floating seismometers. Sci Rep, 9: 1326

    Google Scholar 

  • Pipatprathanporn S, Simons F J. 2021. One year of sound recorded by a mermaid float in the Pacific: Hydroacoustic earthquake signals and infrasonic ambient noise. Geophys J Int, 228: 193–212

    Google Scholar 

  • Romanowicz B. 2003. Global mantle tomography: Progress status in the past 10 years. Annu Rev Earth Planet Sci, 31: 303–328

    Google Scholar 

  • Ruan A G, Li J B, Lee C S, Qiu X L, Pan S J. 2012. Passive seismic experiment and ScS wave splitting in the southwestern subbasin of South China Sea. Chin Sci Bull, 57: 3381–3390

    Google Scholar 

  • Schmandt B, Lin F C. 2014. P and S wave tomography of the mantle beneath the United States. Geophys Res Lett, 41: 6342–6349

    Google Scholar 

  • Shen W, Ritzwoller M H, Kang D, Kim Y H, Lin F C, Ning J, Wang W, Zheng Y, Zhou L. 2016. A seismic reference model for the crust and uppermost mantle beneath China from surface wave dispersion. Geophys J Int, 206: 954–979

    Google Scholar 

  • Simmons N A, Myers S C, Johannesson G, Matzel E. 2012. LLNL-G3Dv3: Global P wave tomography model for improved regional and tele-seismic travel time prediction. J Geophys Res-Solid Earth, 117: B10302

    Google Scholar 

  • Simon J D, Simons F J, Irving J C E. 2021a. A MERMAID miscellany: Seismoacoustic signals beyond the P wave. Seismol Res Lett, 92: 3657–3667

    Google Scholar 

  • Simon J D, Simons F J, Irving J C E. 2021b. Recording earthquakes for tomographic imaging of the mantle beneath the South Pacific by autonomous MERMAID floats. Geophys J Int, 228: 147–170

    Google Scholar 

  • Simon J D, Simons F J, Nolet G. 2020. Multiscale estimation of event arrival times and their uncertainties in hydroacoustic records from autonomous oceanic floats. Bull Seismol Soc Amer, 110: 970–997

    Google Scholar 

  • Simons F J, Nolet G, Georgief P, Babcock J M, Regier L A, Davis R E. 2009. On the potential of recording earthquakes for global seismic tomography by low-cost autonomous instruments in the oceans. J Geophys Res-Solid Earth, 114: B05307

    Google Scholar 

  • Sukhovich A, Bonnieux S, Hello Y, Irisson J O, Simons F J, Nolet G. 2015. Seismic monitoring in the oceans by autonomous floats. Nat Commun, 6: 8027

    Google Scholar 

  • Sukhovich A, Irisson J O, Simons F J, Ogé A, Hello Y, Deschamps A, Nolet G. 2011. Automatic discrimination of underwater acoustic signals generated by teleseismic P-waves: A probabilistic approach. Geophys Res Lett, 38: L18605

    Google Scholar 

  • Sweldens W. 1996. The lifting scheme: A custom-design construction of biorthogonal wavelets. Appl Comput Harmonic Anal, 3: 186–200

    Google Scholar 

  • Tsekhmistrenko M, Sigloch K, Hosseini K, Barruol G. 2021. A tree of Indo-African mantle plumes imaged by seismic tomography. Nat Geosci, 14: 612–619

    Google Scholar 

  • van der Hilst R D, Widiyantoro S, Engdahl E R. 1997. Evidence for deep mantle circulation from global tomography. Nature, 386: 578–584

    Google Scholar 

  • Wei S S, Wiens D A, Zha Y, Plank T, Webb S C, Blackman D K, Dunn R A, Conder J A. 2015. Seismic evidence of effects of water on melt transport in the Lau back-arc mantle. Nature, 518: 395–398

    Google Scholar 

  • Wolfe C J, Solomon S C, Laske G, Collins J A, Detrick R S, Orcutt J A, Bercovici D, Hauri E H. 2009. Mantle shear-wave velocity structure beneath the Hawaiian hot spot. Science, 326: 1388–1390

    Google Scholar 

  • Xiao H, Xue M, Yang T, Liu C, Hua Q, Xia S, Huang H, Le B M, Yu Y, Huo D, Pan M, Li L, Gao J. 2017. 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. J Geophys Res-Solid Earth, 123: 3923–3942

    Google Scholar 

  • Xu W J, Gao M T. 2014. Statistical analysis of the completeness of earthquake catalogs in China mainland (in Chinese). Chin J Geophys, 57: 2802–2812

    Google Scholar 

  • Yu Y, Chen Y J, Feng Y, An M, Liang X, Guo Z, Qu W, Li S, Dong S. 2021. Asthenospheric flow channel from northeastern Tibet imaged by seismic tomography between Ordos Block and Yangtze Craton. Geophys Res Lett, 48: e93561

    Google Scholar 

  • Zhang F, Wu Q, Li Y, Zhang R, Sun L, Pan J, Ding Z. 2018. Seismic tomography of Eastern Tibet: Implications for the Tibetan Plateau growth. Tectonics, 37: 2833–2847

    Google Scholar 

  • Zhao D. 2004. Global tomographic images of mantle plumes and subducting slabs: Insight into deep Earth dynamics. Phys Earth Planet Inter, 146: 3–34

    Google Scholar 

  • Zhu G, Wiens D A, Yang H, Lin J, Xu M, You Q. 2021. Upper mantle hydration indicated by decreased shear velocity near the southern Mariana Trench from Rayleigh wave tomography. Geophys Res Lett, 48: e93309

    Google Scholar 

  • Zhu G, Yang H, Lin J, Zhou Z, Xu M, Sun J, Wan K. 2019. Along-strike variation in slab geometry at the southern Mariana subduction zone revealed by seismicity through ocean bottom seismic experiments. Geophys J Int, 218: 2122–2135

    Google Scholar 

  • Zhu G, Yang H, Lin J, You Q. 2020. Determining the orientation of ocean-bottom seismometers on the seafloor and correcting for polarity flipping via polarization analysis and waveform modeling. Seismol Res Lett, 91: 814–825

    Google Scholar 

  • Zhu G, Yang H, Yang T, Zhang G. 2023. Along-strike variation of seismicity near the extinct mid-ocean ridge subducted beneath the Manila Trench. Seismol Res Lett, 94: 792–804

    Google Scholar 

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Acknowledgements

The deployment of the 10 MERMAIDs was supported by the NSFC Open Research Cruise (Cruise No. NORC2021-08), funded by Shiptime Sharing Project of the NSFC. This cruise was conducted onboard R/V “SHIYAN 2” by the South China Sea Institute of Oceanology, Chinese Academy of Sciences. We thank the chief scientist Dr. Xuelin QIU, the captain Dr. Jiazheng ZHANG and all the staff onboard for their support and help. We appreciate the responsible editor and three reviewers for their valuable comments and suggestions. We thank Dr. Zhiqiang LIU from SUSTech for providing the wave height information of the South China Sea and Yizhi WANG for helping with the discussion of the working principle of the hydrophone. The software processing the MERMAID data can be downloaded at https://github.com/joelsimon/omnia/. The figures in this paper were plotted by Generic Mapping Tools (GMT) 6. The work was supported by the National Natural Science Foundation of China (Grant No. 41890814) and the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou).

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Correspondence to Yongshun John Chen.

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Yu, Y., Chen, Y.J., Guo, Z. et al. Long-term seismic network in South China Sea by floating MERMAIDs. Sci. China Earth Sci. 66, 1979–1993 (2023). https://doi.org/10.1007/s11430-022-1100-3

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