Abstract
In 2011 Tohoku Region Pacific Coast Earthquake, severe damage due to Tsunami occurred along the Tohoku coast region suffered severe tsunami damage. The devastated damage was not only the inundation by tsunami but also the collapse of building and the debris by collapse of building occurred, which is including the drift of vehicles and ships. Furthermore, the damage by fire from accumulated debris also occurred. In response to such a disaster, on the tsunami disaster mitigation, it is important to take measure against buildings damage and disaster debris in addition to inundation. In this study, a tsunami numerical model considering building collapse and drifting disaster debris was applied for Owase City which is assumed to receive great damage by the Nankai Trough tsunami. For the numerical model used for the calculation, we applied the 2-dimensional tsunami numerical model which is involving the effect of collapse buildings and the debris considering various transport form developed by the authors. This proposed model is divided into two parts, one is model of the building collapse and the other is the drift of disaster debris. In order to estimate the damage of the tsunami inundation, the collapse building and the drift quantitively, we researched the effect of tsunami damage reduction due to the difference in the type of buildings structure in the coastal area. As a result, the proposed model could be obtained the following findings. 1) The proposed model can calculate inundation considering the influence of the building. 2) This model can directly evaluate damage of buildings and it can quantitatively estimate concrete damage to various scenarios of tsunami. The proposed model seems to be useful for the tsunami disaster prevention plan such as the damage estimation and mitigation.
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Kozono, Y., Sakuraba, M., Nnojima, K. (2020). Verification of Disaster Reduction by Tsunami Prediction Model Considering Collapsed Buildings and Disaster Debris. In: Trung Viet, N., Xiping, D., Thanh Tung, T. (eds) APAC 2019. APAC 2019. Springer, Singapore. https://doi.org/10.1007/978-981-15-0291-0_32
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DOI: https://doi.org/10.1007/978-981-15-0291-0_32
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