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2021/03/02 14:00 Dr. Pin-Chun Huang（Center of Excellence for Ocean Engineering, NTOU）
Seminar
Poster： ╱ Post date：2021-02-24NCU IHOS Seminar Announcement
Speaker：Dr. Pin-Chun Huang (Assistant Research Fellow)
Place：S-325, Science Building 1
Abstract：
Title：Development of computing-efficient hydraulic and hydrological models for surface runoff and river flow simulations
Speaker：Dr. Pin-Chun Huang (Assistant Research Fellow)
Center of Excellence for Ocean Engineering, NTOU
Time：03/02（Tue.）14：00
Place：S-325, Science Building 1
Abstract：
This presentation aims at discussing innovative calculation and prediction methods to reconstruct the runoff integration model of the river basin, thereby improving the reliability and robustness of the flood early warning system, so as to facilitate the timely response of flood control strategies. Flood disasters caused by high-intensity rainfall events in recent years have brought serious threats to the life safety and economic development of residents in the world. The overall performance of the flood forecasting model needs to be carefully examined. The three indicators for evaluating the capability of a disaster forecasting model are execution efficiency, model stability, and prediction accuracy, therefore, the main purposes of this research are as follows: (1) The physical architectures and algorithms of hydrological models were refined to strengthen their applicability and accuracy in various topography of watersheds. (2) To reduce the computational cost and achieve timeliness for model prediction, this study focused on creating a highly computationally efficient surface runoff and river flow integration model. (3) To bypass numerical oscillations and improve the stability of model calculations, this study further exploited machine learning methods as an alternative to predict the potential flooding depth, and derive a quasilinear channel impulse response function that can consider river topography and geometry for streamflow prediction. The research findings of this project can facilitate providing more convenient and stable alternatives for watershed runoff analysis.
Last modification time：2021-02-23 PM 3:41
