|Title||Probabilistic tsunami hazard assessment in South China Sea with consideration of uncertain earthquake characteristics|
|Publication Type||Journal Article|
|Year of Publication||2019|
|Authors||Sepulveda I., Liu P.LF, Grigoriu M.|
|Journal||Journal of Geophysical Research-Solid Earth|
|Type of Article||Article|
|Keywords||and; deformation; earthquake samples; earthquake slip distribution and location; frequency; Geochemistry & Geophysics; location; luzon; magnitude; manila subduction zone; occurrence; probabilistic tsunami hazard assessment; properties of the earthquake slip distribution; rupture; scaling relations; seismic moment; slip; trench; tsunami; uncertainties of; uncertainties of probability; uncertainty propagation|
In this paper, we have conducted a probabilistic tsunami hazard assessment (PTHA) for Hong Kong (China) and Kao Hsiung (Taiwan), considering earthquakes generated in the Manila subduction zone. The new PTHA methodology with the consideration of uncertainties of slip distribution and location of future earthquakes extends the stochastic approach of Sepulveda et al. (2017). Using sensitivity analyses, we further investigate the uncertainties of probability properties defining the slip distribution, the location, and the occurrence of earthquakes. We demonstrate that Kao Hsiung and Hong Kong would be significantly impacted by tsunamis generated by M-W>8.5 earthquakes in the Manila subduction zone. For instance, a specific M-W 9.0 earthquake scenario is capable of producing tsunami amplitudes exceeding 4.0 and 3.5m in Kao Hsiung and Hong Kong, respectively, with a probability of 50%. Despite the significant tsunami impact, great earthquakes have long mean return periods. As a result, the PTHA shows that Kao Hsiung and Hong Kong are exposed to a relatively small tsunami hazard. For instance, maximum tsunami amplitudes in the assessed locations of Kao Hsiung and Hong Kong exceed 0.32 and 0.18m, respectively, with a mean return period of 100years. The inundation hazard in populated areas is small as well, with mean return periods exceeding 1,000years. Sensitivity analyses demonstrate that the PTHA can be affected by the uncertainties of the probability properties defining the slip distribution, the location, and the occurrence of earthquakes. However, PTHA results are most sensitive to the choice of the earthquake occurrence model.