JpGU-AGU Joint Meeting 2017

講演情報

[EJ] ポスター発表

セッション記号 A (大気水圏科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW34] [EJ] 水循環・水環境

2017年5月22日(月) 15:30 〜 17:00 ポスター会場 (国際展示場 7ホール)

コンビーナ:林 武司(秋田大学教育文化学部)、Gusyev Maksym(International Centre for Water Hazard Risk Management, Public Works Research Institute)、長尾 誠也(金沢大学環日本海域環境研究センター)、町田 功(産業技術総合研究所地質調査総合センター)、飯田 真一(国立研究開発法人森林総合研究所森林研究部門森林防災研究領域水保全研究室)

[AHW34-P06] Using HECHMS and WASH123D for operational water stage forecasting of KaoPing River in Taiwan

*Cheng-Hsin Chen1Ya-Chi Chang1Ming-Chang Wu1Dong-Sin Shih2I-Chun Hung3 (1.Taiwan Typhoon and Flood Research Institute, National Applied Research Laboratories、2.Department of Civil Engineering, National Chung Hsing University、3.Department of Civil Engineering, National Central University)

キーワード:HECHMS, WASH123D, operational, TAPEX

Extreme typhoon rainfall over Taiwan usually causes severe flood damage. Since the impacts of flooding may include social, economic and environmental problems, it is very important to establish a local flood warning system to prevent or mitigate flood disasters.
In 2010, Taiwan Typhoon and Flood Research Institute (TTFRI) started Taiwan
Cooperative Precipitation Ensemble Forecast Experiment (TAPEX) that was designed for providing skillful typhoon predictions to related agencies such as CWB, NCHC, SWCB, WRA, and NCDR. To date, TAPEX has included 26 members and is run operationally 4 times a day. In each run, the 72 hours precipitation forecasts are provided.
The purpose of this study is to establish an operational local water stage forecasting system for KaoPing River in Taiwan using HECHMS as a runoff model and WASH123D as a 1D/2D coupling flood model. Precipitation forecasts provided by TAPEX are used in the forecasting system as the input rainfall data. The performance of the developed forecasting system is verified using rain gauge data and observed water stage data. In addition, a web based data monitoring system is constructed for not only collecting real-time observed data, but also displaying the model results compared with observed data.