Abstract Database

VALIDATION OF TSUNAMI INUNDATION MODELLING FOR THE JUNE 23,2001 PERU EARTHQUAKE

MEE09200
Adriano Ortega Bruno
Supervisor: Shunichi KOSHIMURA, Yushiro FUJII
Country: Peru
Abstractfulltext

The validation of the tsunami inundation modeling for the June 23, 2001 Peru earthquake is carried out by using three different tsunami source models. The source parameters for this event have been estimated from seismological analyses by two different studies. We use the Global Centroid Moment Tensor solution, and apply the scaling law proposed by Papazachos et al. (2004) to estimate the fault length, width and slip amount, as the first model called Uniform Slip Model. Kikuchi and Yamanaka’s (2001) results are used for the second model called Heterogeneous Slip Model. They analyzed teleseismic broadband P waves retrieved from 24 seismic stations to determine the general source parameters and estimated the slip distribution in detail of 40 subfault segments (30 km x 30 km) in the rupture area of 240 km by 150 km. The third model, called Tsunami Waveform Inversion Model, is constructed in this study by using tsunami waveforms that were recorded at eleven tide gauge stations around the source region. In this model we determined the slip distribution in detail of 10 subfault segments (50 km x 50 km) in the rupture area of 250 km by 100 km.

The numerical simulation of tsunami inundation is carried out using TUNAMI-N2 code developed by Disaster Control Research Center (DCRC), Tohoku University, Japan, which is based on Cartesian coordinate for nested grid system of four domains. The inundation results from the three models are validated through comparison in terms of the run-up height and inundation distance with the field survey data measured around Camana city by the International Tsunami Survey Team (ITST, 2001abc). The tsunami inundation modeling results in terms of the run-up height shows that the third model is a more appropriate approximation compared to the field survey data, and in terms of the inundation distance the first model is a more appropriate approximation.

Citation: Bulletin of IISEE, 45, 127-132.