Japan Geoscience Union Meeting 2021

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-HW Hydrology & Water Environment

[A-HW20] Hydrology & Water Environment

Sat. Jun 5, 2021 9:00 AM - 10:30 AM Ch.12 (Zoom Room 12)

convener:Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Keisuke Fukushi(Institute of Nature & Environmental Technology, Kanazawa University), Koichi Sakakibara(Department of Environmental Sciences, Faculty of Science, Shinshu University), Dai Yamazaki(Institute of Industrial Sciences, The University of Tokyo), Chairperson:Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Keisuke Fukushi(Institute of Nature & Environmental Technology, Kanazawa University), Koichi Sakakibara(Department of Environmental Sciences, Faculty of Science, Shinshu University), Dai Yamazaki(Institute of Industrial Sciences, The University of Tokyo)

9:20 AM - 9:35 AM

[AHW20-03] Developement of a 2D Eulerian SPH shallow water model for dam break flows

*Kao-Hua Chang1 (1.National Taiwan Ocean University)

Keywords:smoothed particle hydrodynamics, meshless, shallow water equations, dam break flow

In the study, we propose a two-dimensional (2D) Eulerian meshless shallow water model (SWM) using smoothed particle hydrodynamics (SPH) to simulate various dam break flows. The proposed Eulerian SPH-SWM can significantly improve the efficiency of the existing Lagrangian SPH-SWMs for handling real-world cases. To ensure the stability of the proposed model, an HLLC approximate Riemann solver and a hydrostatic reconstruction scheme are introduced to satisfy the well-balanced and positivity-preserving properties. Two study cases such as dam-break flows respectively on a dry flat bed and through a dry 45-degree bend channel are used to validate the proposed model against the exact and measured solutions. Finally, a scenario of the Shihmen dam in Taiwan broken is investigated to predict 3-hour-ahead flood extent to show the ability of the proposed model dealing with large-scale problems.