Abstract
The South China Sea Tsunami Advisory Center (SCSTAC) established by China, under the aegis of UNESCO's Intergovernmental Oceanographic Commission (UNESCO/IOC), had inaugurated commencing its full operation on November 5, 2019. This center is operating 24 × 7 h and round-the-clock shift to monitor tsunami hazard that pose a serious threat to countries which bordering the South China Sea (SCS) region. Prior to the official operation, SCSTAC had taken action for the last 10 years in upgrading their technology capability which are real-time earthquake monitoring and the processing system that is crucial to be able providing the international standard of tsunami warning services in the SCS and its adjacent areas. This paper briefly reviewed on the initiation steps and its developments of the South China Sea region Tsunami Warning and Mitigation Systems, tectonic setting as well as the characteristics of historical earthquakes and tsunamis in the region. In addition, we highlighted the structure and basic functions of the earthquake monitoring and processing system, earthquake location, source mechanism solution and finite fault model inversion using the real-time seismic waveform data from regional and global seismographic networks that will result in the rapid source parameters estimation for a larger earthquake in tsunami warning. Numerous simulations and hands-on events have shown that the preliminary earthquake parameters could be determined less than 8 min after earthquake. The W phase method is used and be able to produce rapid and reliable estimation of the moment magnitude and source mechanism for larger events within 10–15 min from earthquake origin time. A finite fault model can be acquired just after the earthquake event via computing teleseismic body-wave inversion program. The earthquake monitoring and processing system provide accurate and reliable information in contributing to tsunami warning services, thus promoting the development of tsunami warning technologies, which enhancing the tsunami warning capability and tsunami emergency responses. These high-end technology can be used in facilitating others such as marine disaster prevention, mitigation and its risk reduction.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig4_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig5_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig6_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig7_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig8_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig9_HTML.png)
source time function and slip distribution in the rectangular finite fault model inverted from two conjugate nodal planes, respectively. The focal mechanism solution of the Molucca Sea earthquake was derived from W phase faster inversion
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11069-021-04605-z/MediaObjects/11069_2021_4605_Fig10_HTML.png)
Similar content being viewed by others
References
Allen SCR, Greenslade DJM (2008) Develo** tsunami warnings from numerical model output. Nat Hazards 46(1):35–52
Athukorala PC, Resosudarmo BP (2005) The Indian Ocean tsunami: economic impact, disaster management and lessons. Asian Econ Pap 4(1):1–39
Aurelio MA, Dianala JDB, Taguibao KJL, Pastoriza L, Reyes K, Sarande R, Lucero A (2017) Seismotectonics of the 6 February 2012 MW 67 Negros earthquake, central Philippines. J Asian Earth Sci 142:93–108
Aziz M, Shibazaki B, Fujii Y (2011) Tsunami numerical simulation around Sulu sea and Celebes sea. Bulletin of the International Institute of Seismology and Earthquake Engineering, pp 1–50.
Baeda YA (2011) Seismic and Tsunami Hazard Potential in Sulawesi Island. Indo J Int Dev Cooper 17(1):17–30
Becker JJ, Sandwell DT, Smith WHF, Braud J, Binder B, Depner JL, Ladner R (2009) Global bathymetry and elevation data at 30 arc seconds resolution: SRTM30_PLUS. Mar Geodesy 32(4):355–371
Beresnev IA (2003) Uncertainties in finite-fault slip inversions: to what extent to believe? (a critical review). Bull Seismol Soc Am 93(6):2445–2458
Bird P (2003) An updated digital model of plate boundaries. Geochem Geophys Geosyst 4:1027. https://doi.org/10.1029/2001GC000252
Blaser L, Krüger F, Ohrnberger M, Scherbaum F (2010) Scaling relations of earthquake source parameter estimates with special focus on subduction environment. Bull Seismol Soc Am 100(6):2914–2926
Bormann P, Saul J (2009) A fast, non-saturating point estimator for great earthquakes. Seismol Res Lett 80(5):808–816
Cardwell RK, Isacks BL, Karig DE (1980) The spatial distribution of earthquakes, focal mechanism solutions, and subducted lithosphere in the Phillippine and northeastern Indonesian island. In: Hayes DE (ed) The Tectonic and Geological Evolution of Southeast Asian Seas and Islands, Geophysics Monograph (Series 23). AGU, Washington, pp 1–35
Cardwell RK, Isacks BL (1978) Geometry of the subducted lithosphere beneath the Banda Sea in eastern Indonesia from seismicity and fault plane solutions. J Geophys Res Solid Earth 83:2825–2838
Delouis B, Giardini D, Lundgren P, Salichon J (2002) Joint inversion of InSAR, GPS, teleseismic, and strong-motion data for the spatial and temporal distribution of earthquake slip: application to the 1999 Izmit Mainshock. Bull Seismol Soc Am 92(1):278–299
Dziewonski AM, Anderson DL (1981) Preliminary reference Earth model. Phys Earth Planet Inter 25:297–356
Frohlich C (1992) Triangle diagrams: ternary graphs to display similarity and diversity of earthquake focal panels. Phys Earth Planet Inter 75(1–3):0–198
Geist EL (2002) Complex earthquake rupture and local tsunamis. J Geophys Res 107(B5):2086
Goda K, Yasuda T, Mori N, Maruyama T (2016) New scaling relationships of earthquake source parameters for stochastic tsunami simulation. Coast Eng J 58(3):1650010
Graves R, Wald D (2001) Resolution analysis of finite fault source inversion using one and three-dimensional Green’s functions: 1. Strong motions. J Geophys Res: Solid Earth 106(B5):8745–8766
Hayes GP, Rivera L, Kanamori H (2009) Source inversion of the w-phase: real-time implementation and extension to low magnitudes. Seismol Res Lett 80(5):817–822
Imamura F, Synolakis CE, Gica E, Titov V, Lee HJ (1995) Field survey of the 1994 mindoro island, Philippines tsunami. Pure Appl Geophys 144(3):875–890
Johnston CR, Bowin CO (1981) Crustal reactions resulting from the mid-Pliocene to recent continent-island arc collision in the Timor region. BMR J Austral Geol Geophys 6:223–243
Kagan YY (1991) 3-D rotation of double-couple earthquake sources. Geophys J Int 106(3):709–716
Kanamori H, Rivera L (2008) Source inversion of W phase: speeding up seismic tsunami warning. Geophys J Int 175(1):222–238
Kikuchi M, Kanamori H (1986) Inversion of complex body waves-II. Phys Earth Planet Inter 43:205–222
Kikuchi M, Kanamori H (1982) Inversion of complex body waves. Bull Seismol Soc Am 72:491–506
Kikuchi M, Kanamori H (1991) Inversion of complex body waves—III. Bull Seismol Soc Am 81:2335–2350
Kikuchi M, Kanamori H (2003) Note on teleseismic body wave inversion program. The Earthquake Research Institute, Tokyo University, Japan. Online at http://www.eri.u-tokyo.ac.jp/ETAL/KIKUCHI/
Kikuchi M, Kanamori H, Satake K (1993) Source complexity of the 1988 Armenian Earthquake: evidence for a slow after-slip event. J Geophys Res 98:15797–15808
Kirby S, Geist E, Lee WHK, Scholl D, Blakely R (2005) Tsunami source characterization for western pacific subduction zones: an optimization report. In: DART Network Optimization: 2005 Workshop Report: NOAA Technical Memorandum ERL PMEL
Kreemer C, Holt WE, Goes S, Govers R (2000) Active deformation in eastern Indonesia and the Philippines from GPS and seismicity data. J Geophys Res 105(B1):663
Lay T (2005) The Great Sumatra-Andaman Earthquake of 26 December 2004. Science 308(5725):1127–1133
Lin JY, Sibuet JC, Hsu SK, Wu WN (2014) Could a Sumatra -like megaearthquake occur in the south ryukyu subduction zone? Earth Planets Space 66(1):49
Liu PL-F, Wang XM, Salisbury AJ (2009) Tsunami hazard and early warning system in South China Sea. J Asian Earth Sci 36(1):0–12
Liu PL-F, Woo SB, Cho Y (1998) Computer designed for Tsunami Propagation and Inundation. Cornell University, Sponsored by the National Science Foundation, 104.
Liu Y, Santos A, Wang SM, Shi Y, Liu H, Yuen DA (2015) Tsunami hazards along Chinese coast from potential disasters in south China sea. Phys Earth Planet Inter 163(1):233–244
Lomax A, Michelini A (2011) Tsunami early warning using earthquake, duration and p-wave dominant period: the importance of length and depth of faulting. Geophys J Int 185(1):283–291
Mardi NH, Malek MA, Liew MS (2017) Tsunami simulation due to seaquake at Manila Trench and Sulu Trench. Nat Hazards 85:1723–1741
Megawati K, Shaw F, Sieh K, Huang Z, Wu TR, Lin Y, Tan SK, Pan TC (2009) Tsunami hazard from the subduction megathrust of the south China sea: Part I. Source characterization and the resulting tsunami. J Asian Earth Sci 36(1):0–20
Michel G, Becker M, Angermann D, Reigber C, Reinhart E (2000) Crustal motion in e-and se-asia from GPS measurements. Earth Planets Space 52:713e720
National Geophysical Data Center of National Oceanic and Atmospheric Administration (n/d, NGDC database): Historical Tsunami database from 2000b. c. to present, available at:http://www.ngdc.noaa.gov/hazard/tsudb.SHTML. Accessed March 2020
Newman A, Okal EA (1998) Teleseismic estimates of radiated seismic energy: the E/M0 discriminant for tsunami earthquakes. J Geophys Res Solid Earth 103(B11):26,885-26,898
Novosibirsk Tsunami Laboratory (n/d, NTL database): Historical Tsunami Databases for the World Ocean from 1628 B.C. to present, available at: http://tsun.sscc.ru/OnlineCat.HTML. Accessed March 2020
Okada Y (1985) Surface deformation due to shear and tensile faults in a half-space. Bull Seismol Soc Am 75:1135–1154
Pararas-Carayannis G (2013) The Great tohoku-oki Earthquake and Tsunami of March 11, 2011 in Japan. Pure Appl Geophys 171(12):3257–3278
Rabinovich AB, Lobkovsky LI, Fine IV, Thomson RE, Ivelskaya TN, Kulikov EA (2008) Near-source observations and modeling of the Kuril Islands tsunamis of 15 November 2006 and 13 January 2007. Adv Geoences 14:105–116
Sarao A, Das S, Suhadolc P (1998) Effect of non-uniform station coverage on the inversion for earthquake rupture history for a Haskell-type source model. J Seismol 2(1):1–25
Simons WJF, Socquet A, Vigny C, Ambrosius BAC, Haji Abu S, Promthong C, Subarya C, Sarsito DA, Matheussen S, Morgan P, Spakman W (2007) A decade of GPS in Southeast Asia: resolving Sundaland motion and boundaries. J Geophys Res: Solid Earth 112(B6):623–626
Simons WJF, Ambrosius BAC, Noomen R, Angermann D, Wilson PM, Becker E, Reinhart A, Walpersdorf Vigny C (1999) Observing plate motions in SE Asia: Geodetic results of the GEODYSSEA project. Geophys Res Lett 26:2081–2084
Socquet A, Simons W, Vigny C, McCaffrey R, Subarya C, Sarsito D, Ambrosius B, Spakman W (2006) Microblock rotations and fault coupling in SE Asia triple junction (Sulawesi, Indonesia) from GPS and earthquake slip vector data. J Geophys Res 111(B8):B08409
Syamsidik B, Umar M, Margaglio G, Fitrayansyah A (2009) Post-tsunami survey of the 28 September 2018 tsunami near Palu Bay in Central Sulawesi. Indo: Int J Disas Risk Reduct 38:101229
Titov VV, Gonzalez FI, Bernard EN, Eble MC, Venturato AJ (2005) Real-time tsunami forecasting: challenges and solutions. Nat Hazards 35(1):35–41
Tsuboi S, Whitmore PM, Solokowski TJ (1999) Application of Mwp to deep and teleseismic earthquakes. Bull Seismol Soc Am 89(1):1345–1351
Wang D, Kawakatsu H, Zhuang J, Mori J, Maeda T, Tsuruoka H, Zhao X (2017) Automated determination of magnitude and source length of large earthquakes using backprojection and P wave amplitudes. Geophys Res Lett 44(11):5447–5456
Wang XM, Liu PL-F (2006) An analysis of 2004 Sumatra earthquake fault plane mechanism and Indian Ocean tsunami. J Hydraul Res 44(2):147–154
Wang XM (2009) Technical document for COMCOT v.1.7. Institute of Geological and Nuclear Science, New Zealand
Weinstein SA, Lundgren PR (2008) Finite fault modeling in a tsunami warning center context. Pure Appl Geophys 165:451–474
Woodhouse JH (1988) The calculation of Eigen frequencies and Eigen functions of the free oscillations of the earth and the sun. In: Doornbos DJ (ed) Seismological algorithms, computational methods and computer programs. Academic Press, London, pp 321–370
**e X, Chen C, Li L, Wu S, Yuen D, Wang D (2019) Tsunami hazard assessment for atoll islands inside the south China sea: a case study of the **sha archipelago. Phys Earth Planet Inter 290(1):20–35
Yamazaki Y, Cheung K, Lay T (2013) Modeling of the (2011) Tohoku near-field tsunami from finite-fault inversion of seismic waves. Bull Seismol Soc Am 103(2B):1444–1455
Yang YQ, Lin YS (1990) Coastal fault and historical earthquakes at the Quanshan zone. South China J Seismol 1:50–55 (In Chinese)
Zacharie D, Luis R, Hiroo K, Gavin H (2012) W phase source inversion for moderate to large earthquakes (1990–2010). Geophys J Int 189(2):1125–1147
Zhang Y, Dalguer LA, Song SG, Clinton J (2015) Evaluating the effect of network density and geometric distribution on kinematic source inversion models. Geophys J Int 200(1):1–16
Zhao L, Yu F, Hou J, Wang P, Fan T (2013) The role of tsunami buoy played in tsunami warning and its application in South China Sea. Theor Appl Mech Lett 3(3):032002
Acknowledgements
Great thanks to the aid, assistance and support from IOC/UNESCO, the Intergovernmental Coordination Group for the Pacific Tsunami Warning and Mitigation System, the Pacific Tsunami Warning Center, the Northwest Pacific Tsunami Advisory Center, the tsunami warning centers surrounding the South China Sea region, as well as the China Earthquake Administration during the process of establishment and operation of the SCSTAC. Thanks to Gempa of Germany and BRTT of the USA for the earthquake monitoring and processing system, thanks to IRIS/DMC, GEOPHONE and GEOSCOPE for providing the real-time seismic waveforms, and thanks to Luis Rivera for the W phase inversion program and Kikuchi for the teleseismic body-wave inversion program. We used the GMT software for drawing the figures. This study was supported by State Key Laboratory of Marine Geology, Tongji University (No. MGK202004).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Xu, Z., Liang, S., Abd Rahman, M.N.B. et al. Historical earthquakes, tsunamis and real-time earthquake monitoring for tsunami advisory in the South China Sea region. Nat Hazards 107, 771–793 (2021). https://doi.org/10.1007/s11069-021-04605-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11069-021-04605-z