標題: Development of a Hydrological Ensemble Prediction System to Assist with Decision-Making for Floods during Typhoons
作者: Yang, Sheng-Chi
Yang, Tsun-Hua
Chang, Ya-Chi
Chen, Cheng-Hsin
Lin, Mei-Ying
Ho, Jui-Yi
Lee, Kwan Tun
土木工程學系
Department of Civil Engineering
關鍵字: hydrological ensemble prediction system;numerical weather model;flood forecast;peak flow;visualization
公開日期: 1-May-2020
摘要: Hydrological ensemble prediction systems (HEPSs) can provide decision makers with early warning information, such as peak stage and peak time, with enough lead time to take the necessary measures to mitigate disasters. This study develops a HEPS that integrates meteorological, hydrological, storm surge, and global tidal models. It is established to understand information about the uncertainty of numerical weather predictions and then to provide probabilistic flood forecasts instead of commonly adopted deterministic forecasts. The accuracy of flood forecasting is increased. However, the spatiotemporal uncertainty associated with these numerical models in the HEPS and the difficulty in interpreting the model results hinder effective decision-making during emergency response situations. As a result, the efficiency of decision-making is not always increased. Thus, this study also presents a visualization method to interpret the ensemble results to enhance the understanding of probabilistic runoff forecasts for operational purposes. A small watershed with area of 100 km(2) and four historical typhoon events were selected to evaluate the performance of the method. The results showed that the proposed HEPS along with the visualization approach improved the intelligibility of forecasts of the peak stages and peak times compared to that of approaches previously described in the literature. The capture rate is greater than 50%, which is considered practical for decision makers. The proposed HEPS with the visualization method has potential for both decreasing the uncertainty of numerical rainfall forecasts and improving the efficiency of decision-making for flood forecasts.
URI: http://dx.doi.org/10.3390/su12104258
http://hdl.handle.net/11536/154984
DOI: 10.3390/su12104258
期刊: SUSTAINABILITY
Volume: 12
Issue: 10
起始頁: 0
結束頁: 0
Appears in Collections:Articles