JpGU-AGU Joint Meeting 2017

講演情報

[EE] 口頭発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS12] [EE] 高性能スーパーコンピュータを用いた最新の大気科学

2017年5月20日(土) 09:00 〜 10:30 101 (国際会議場 1F)

コンビーナ:瀬古 弘(気象研究所)、三好 建正(理化学研究所計算科学研究機構)、小玉 知央(独立行政法人海洋研究開発機構)、滝川 雅之(独立行政法人海洋研究開発機構)、座長:瀬古 弘(気象研究所)

10:15 〜 10:30

[AAS12-06] Improvement of Hydro-debris2D and It’s application to Mountain Hazards and Sediment transport

★招待講演

*山敷 庸亮1大泉 伝2黒木 竜介1 (1.京都大学大学院総合生存学館、2.海洋研究開発機構)

キーワード:水文土石流モデル、NHM、土石流

Hydro-debris2D model has been developed and improved for predicting occurrence of debris flow throughout hydrological regime changes. The model contains three components: (1) Shallow-water based surface flow modules, in order to calculate mountain zone torrential flow regimes, (2) rapid subsurface/interflow in weathered rock, and (3) debris flow and sediment-transport components. The model has been applied into Izu Oshima Island’s debris flow event in 2013 and to Hiroshima’s debris flow disaster in 2014. As rainfall was input, we made a comprehensive comparison between observed rainfall station datasets from AMeDAS and High-resolution NHM calculation results. In the case of Izu Oshima, heavy rainfall and extensive surface flow occurred in the western part of the island, together with extreme interflow which may have caused the start of debris flow in the wall. In Hiroshima’s case, observed rainfall reproduced occurrences of debris flow with better agreement of the disaster due to the slight changes in heavy-rainfall zone. Projected rainfall produced by NHM gave also appropriate results in preparation. The model was also applied to Aso Mountain zone in order to predict possible occurrence of landslides in the zone

Prediction using ensemble rainfall data may be needed in order to increase the accuracy of the occurrence.