Modeling tsunami hazards from Manila trench to Taiwan

https://doi.org/10.1016/j.jseaes.2008.12.006Get rights and content

Abstract

The 2006 dual Pingtung earthquake event and the 2004 South Asia tsunami highlighted the potential tsunami hazards from Manila trench. Manila trench is only about 100 km away from Taiwan, therefore one shall punctuate the importance of thorough study on all possible tsunami scenarios for hazard mitigation. Based on the faults parameters issued by USGS and the seismic record from Global CMT, this study creates a hypothetical earthquake tsunami scenario caused by seismic motion at Manila trench. The magnitude of the earthquake is 9.35 (Mw), the total length is 990 km, and the maximum initial free-surface height is 9.3 m. The initial displacement profile is provided in this paper. An open source code, COMCOT, is adopted to perform the simulation of the tsunami propagation, runup, and inundation around Taiwan. Nested grid system and moving boundary technique are adopted to study runup and inundation.

The result shows that the maximum wave height is 11 m in southern Taiwan. Serious flooding is observed in the southwest coast of Taiwan. Tsunami inundation is able to reach 8.5 km inlandward. Due to the refraction effect, 8 m wave height is noted in the northeast coast of Taiwan. The detailed tsunami behavior around Taiwan is described in the context.

Introduction

The southwest (SW) Taiwan has been considered as a region of tectonic escape because of infrequent intense seismic activities (Lacombe et al., 2001). However, the SW Taiwan is not immune to the attacks of large earthquakes. One piece of the evidence is the Pingtung dual earthquakes on 26 December 2006. Two Mw = 7.0 offshore earthquakes with 8 min offset along with the 40 cm tsunami record highlighted the potential tsunami hazard on SW Taiwan coast.

Motivated by the Pingtung dual earthquakes, we wish to understand the potential devastating tsunami event and the hazard to Taiwan. The epicenters of 2006 dual Pingtung earthquakes is located at the north end of Manila (Luzon) trench, where the Eurasian plate is actively subducting eastward underneath the Luzon volcanic arc on the Philippine Sea plate. The east-dipping is initiated in the Miocene (22–25 Ma) and remains active to the present (Yumul et al., 2003, Queano et al., 2007). Recently, USGS has assessed Manila trench as a high risk zone to be a tsunami source. USGS Tsunami Sources Workshop 2006 (Kirby et al., 2006) further indentified six hypothetical fault planes based on the trench azimuth and the fault geometries (Table 1 and Fig. 1A).

To study the potential devastating hazard to SW Taiwan, the historical tsunami might be able to provide useful information. The 2004 Sumatra–Andaman earthquake with Indian Ocean tsunami is one notorious reference (Titove et al., 2005, Choi et al., 2005). With a similar length to the 1500 km Aceh-Andaman Megathrust, the subduction thrust under Manila trench which has accumulated strain over a 440-year period could become another Megathrust.

In this study, we refer to the three largest earthquakes in history, Global CMT seismic database, as well as the fault parameters issued by USGS, to create the worst-case scenario on the Manila trench and to study the hazard to SW Taiwan. A numerical approach is adopted to perform the simulation. The tsunami initial condition, maximum wave height, arrival time, wave period, and tsunami characteristics in Taiwan water area is addressed and discussed.

Section snippets

Fault parameters of Manila Megathrust

To characterize hypothetical fault planes along the Manila trench in the South China Sea (SCS), three largest historical tsunami earthquakes are referred. The earthquake parameters are shown in Table 2. All three earthquakes have similar length varying from 740 to 1300 km, similar width varying from 200 to 300 km, and similar earthquake magnitude ranging from Mw = 9.0 to 9.5. Using all of the information and referring to the fault geometry, a set of hypothetical fault of Manila Megathrust is nailed

Tsunami propagation model

The numerical approach is applied to this study. The well validated open source code, COMCOT (Cornell Multi-grid Coupled Tsunami Model), is chosen to perform the simulation. The COMCOT model has been used to investigate tsunami events, such as the 1992 Flores Islands (Indonesia) tsunami (Liu et al., 1994, Liu et al., 1995), the 2003 Algeria tsunami (Wang and Liu, 2005), and more recently the 2004 Indian Ocean tsunami (Wang and Liu, 2006). The COMCOT model is capable of solving both linear and

Bathymetry and grid setup

To simulate both far-field and near-field tsunami propagation, four grid layers are adopted and referred as Grids 1, 2, 3A, and 3B (Fig. 3). The grid information as well as the governing equations are shown on Table 5. Finer grid layers, Grids 3A and 3B, are placed in the SW Taiwan to study the tsunami inundation and runup in depth.

Results and discussion

To study the characteristics of the tsunamis in Taiwan, several virtual wave gauges are installed. Fig. 4 shows the virtual gauge location and the time-history free-surface elevation. Time zero denotes the instant when rupture occurs. The gauge record shows that it takes only 20 min for the first tsunami wave to arrive Kenting, a famous tour spot in Taiwan. The wave period is about 25 min at wg_3A_2 and wg_3A_3, and about 20 min at wg_3A_1. The waves merge when they propagate from the deep-water

Conclusion

From the hazard mitigation point of view, we shall clearly understand the potential devastating tsunami hazards. In this study, we create a worst-case scenario of tsunami earthquake excited by Manila Megathrust. The fault parameters are referred to the data issued by USGS, historical tsunamis, and Global CMT. The earthquake magnitude, Mw, is assumed to be 9.35. The total length of the Manila Megathrust is 990 km.

The initial tsunami profile is provided. The maximum initial wave height is 9.3 m (

Acknowledgements

The authors are grateful to Professor Philip L.-F. Liu of Cornell University for providing the latest version of COMCOT and Dr. Xiaoming Wang of Cornell University for providing technical support on using COMCOT.

This work is founded by the National Science Council, Taiwan. Project No: 95-2116-M-008-006-MY3.

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