Tsunami hazard assessment to South China Sea Islands induced by the earthquake with maximum possible magnitude in the Manila subduction zone

被引:0
|
作者
Zhao G. [1 ,2 ,3 ]
Niu X. [1 ,2 ,3 ]
机构
[1] State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing
[2] Key Laboratory of Hydrosphere Sciences, the Ministry of Water Resources, Tsinghua University, Beijing
[3] Department of Hydraulic Engineering, Tsinghua University, Beijing
关键词
fault locking; Manila subduction zone; South China Sea Islands; TDEFNODE; tsunami hazard assessment;
D O I
10.16511/j.cnki.qhdxxb.2023.26.060
中图分类号
学科分类号
摘要
[Objective] The Manila subduction zone is the primary source of potential large tsunamis in the South China Sea, which may result in severe coastal disasters. This study aims to evaluate the tsunami hazards faced by South China Sea Islands caused by earthquakes with maximum magnitudes through assessing the earthquake with maximum possible magnitude in the Manila subduction zone and simulating the process of induced tsunamis.[Methods] The seismic potential was evaluated using the negative dislocation inversion model TDEFNODE based on GPS horizontal velocity field data. The acquired distribution of the locking and slip deficit along the Manila subduction zone was first used to assess the seismic potential. The earthquakes with a magnitude of 8. 9 and a 500-year return period were selected as the maximum possible earthquake to design extreme earthquake tsunami events. This study comprehensively considered the impact of the epicenter, focal depth, and heterogeneity in the fault slip on tsunamis, and about 700 000 tsunami events under the condition of magnitude 8. 9 were simulated for further evaluation. Both uniform and heterogeneous slip models were adopted to describe fault slips in the tsunami events. Considering that a larger fault slip is more likely to occur in areas with a higher degree of fault locking, the distribution of fault locking was also introduced into the heterogeneous slip model as a constraint for the random slip distribution. The tsunami events were simulated by the unit-source superposition method proposed by our group previously, which could efficiently simulate the propagation of tsunami waves based on a precomputed database and provided the offshore tsunami wave heights of major islands with small computational cost.[Results] The findings revealed that even under the same magnitude, the height of tsunami waves exhibited significant randomness. The tsunami wave height in Dongsha Island varied between 1. 8 m and 6. 2 m during 8. 9-magnitude earthquake tsunami events. The heterogeneity of fault slip had a significant impact on tsunami wave height, and conventional models that neglected heterogeneous slip distribution would underestimate the tsunami wave height by approximately 20% - 50%. In terms of spatial distribution, with tsunami wave heights exceeding 4 m, Nanshazhou, Nandao, and Beidao in the Xuande Islands and Dongsha Islands were worst affected, while the tsunami hazard in the Nansha Islands was much smaller.[Conclusions] This work enhances the tsunami hazard assessment model by introducing fault locking into the random slip model as a constraint, enabling the description of the fault slip to be more realistic than the conventional uniform slip assumption. The maximum possible tsunami hazard faced by major islands in the South China Sea has been quantified, which offers effective support for tsunami hazard prevention and reduction in these islands. © 2024 Tsinghua University. All rights reserved.
引用
收藏
页码:612 / 618
页数:6
相关论文
共 35 条
  • [1] MEGAWATI K., SHAW F., SIEH K, Et al., Tsunami hazard from the sub auction megathrust of the South China Sea: Part I. Source characterization and the resulting tsunami [J], Journal of Asian Earth Sciences, 36, 1, pp. 13-20, (2009)
  • [2] HONG NGUYEN P, BUI Q C, DINH NGUYEN X., Investigation of earthquake tsunami sources, capable of affecting Vietnamese coast [J], Natural Hazards, 64, 1, pp. 311-327, (2012)
  • [3] HSU Y J., YU S B., LOVELESS J P, Et al., Interseismic deformation and moment deficit along the Manila subduction zone and the Philippine Fault system, Journal of Geophysical Research: Solid Earth, 121, 10, pp. 7639-7665, (2016)
  • [4] YU H Y., LIU Y J, YANG H F, Et al., Modeling earthquake sequences along the Manila subduction zone
  • [5] Effects of three-dimensional fault geometry [J], Tectonophysics, 73, 3, pp. 73-84, (2018)
  • [6] SUN L G, ZHOU X., HUANG W, Et al., Preliminary evidence for a 1 000-year-old tsunami in the South China Sea, Scientific Reports, 3, 1, (2013)
  • [7] ZHAO X., JIANG Y P., REN Z Y, Et al., Historical tsunami records and potential tsunami scenarios near Haikou coastal region, Natural Hazards, 89, 2, pp. 625-645, (2017)
  • [8] LAU A Y A, SWITZER A D, DOMINEY-HOWES D, Et al., Written records of historical tsunamis in the northeastern South China Sea: Challenges associated with developing a new integrated database [J], Natural Hazards and Earth System Sciences, 10, 9, pp. 1793-1806, (2010)
  • [9] BAUTISTA M L P, BAUTISTA B C, SALCEDO J C, Et al., Philippine tsunamis and Seiches (1589 2012)[M], (2012)
  • [10] LI S S, FREYMUELLER J T., Spatial variation of slip behavior beneath the Alaska Peninsula along Alaska-Aleutian subduction zone [J], Geophysical Research Letters, 45, 8, pp. 3453-3460, (2018)