Japan Geoscience Union Meeting 2019

Presentation information

[J] Oral

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

[A-OS13] Ocean circulation and material cycle in coastal seas

Mon. May 27, 2019 1:45 PM - 3:15 PM 102 (1F)

convener:Kiyoshi Tanaka(University of Tokyo), Akihiko Morimoto(Ehime University), Yuichi Hayami(Saga University), Kazuhiko Ichimi(Seto Inland Sea Regional Research Center, Kagawa University), Chairperson:Akihiko Morimoto, Yuichi Hayami

3:00 PM - 3:15 PM

[AOS13-12] Development of a river-ocean seamless model for simulating river discharges around Kyushu

*Takahiro Tsutsumi1, Shinichiro Kida2, Ryusuke Kuroki3, Yosuke Alexandre Yamashiki3 (1.Interdisciplinary Graduate School of Engineering Science, Kyushu University, 2.Research Institute for Applied Mechanics, Kyushu University, 3.Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University)

Regional-scale torrential rainfalls cause river discharges that are capable of abruptly changing the oceanic condition over a wide area. It is necessary to simultaneously solve multiple rivers for capturing such events that are also often associated with flooding over land. Many coastal areas are also affected by multiple rivers but many of the conventional river-models to simulate the influence of rivers on a regional scale. The object of this research is to develop a river-ocean seamless model for simulating river discharges around Kyushu during and after weather events. By using an Isopycnal-Layered model following Kida and Yamashiki (2015), we developed a model that focuses on the island of Kyushu and the heavy rain event in September 2015. The model reproduces the increase in river flow due to the heavy rain and when compared to observations, we found some rivers to show slow water propagation speed from upstream to downstream, while some rivers reproduce the actual observation well. We plan to conduct a sensitively experiment to verify the cause behind this difference in the reproducibility of the model.