Japan Geoscience Union Meeting 2022

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-OS Ocean Sciences & Ocean Environment

[A-OS15] Waves, Storm Surges, and Related Hazards

Tue. May 31, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (9) (Ch.09)

convener:Adrean Webb(Kyoto University, Disaster Prevention Research Institute, Coastal Disaster Research), convener:Amin Chabchoub(Kyoto University), Reza Marsooli(Stevens Institute of Technology), Chairperson:Adrean Webb(Kyoto University, Disaster Prevention Research Institute, Coastal Disaster Research), Amin Chabchoub(Kyoto University), Reza Marsooli(Stevens Institute of Technology)

11:00 AM - 1:00 PM

[AOS15-P02] Numerical Modeling of Storm Surge Inundation by Typhoon Haiyan Using Subgrid-scale Building Information

*Nobuki Fukui1, Nobuhito Mori2, Sooyoul Kim3, Tomoya Shimura2, Takuya Miyashita2 (1.Graduate School of Engineering, Kyoto University, 2.Disaster Prevention Research Institute, Kyoto University, 3.Kumamoto University)

Storm surge is one of the coastal disasters with devastating damage and it is important to understand the inundation risk in coastal urban areas based on numerical modeling. Although numerical simulation directly considering the buildings as topography is possible, it is difficult to employ such simulation in terms of computational cost because inundation risk analyses need huge number of ensemble simulations. The authors developed the subgrid-scale model, individual drag force model (iDFM), expressing multiple building existence in a coarser computational grid cell using total sum of drag force on buildings. The hindcast of storm surge inundation targeting typhoon HAIYAN (2013) was conducted based on the 2D shallow water models and the iDFM. Furthermore, the wind drag coefficient is changed according to building submergence to consider the wind speed reduction by buildings. The sensitivity analysis of wind drag coefficient showed more than 40% smaller inundation depth and velocity near limit of inundation than when the wind speed reduction was not considered. In addition, the validation of the iDFM using the post survey results showed that the reproducibility of inundated area was improved compared to conventional roughness model.