Tsunami Hazard Assessment
This study proposes a methodology to conduct probabilistic tsunami hazard assessments with consideration of uncertain earthquakes generating tsunamis. The methodology adopts a stochastic framework to model the earthquake slip and location as a random field and a random vector, respectively.
The methodology consists of two stages. First, it considers the generation of slip samples by means of a Karhunen-Loeve expansion and a translation model. Second, it adopts a stochastic reduced order model to propagate uncertainties, which is more accurate than Monte-Carlo. The methodology is applied to hazard assessments in Kao-Hsiung and Hong-Kong, with consideration of earthquakes in the Manila trench.