Improving our understanding of flood forecasting using earlier hydro-meteorological intelligence

NCUIR > College of Earth Sciences > Graduate Institute of Applied Geology > journal & Dissertation > Item 987654321/108624

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/108624

Title:	Improving our understanding of flood forecasting using earlier hydro-meteorological intelligence
Authors:	葉高次;Shih, Dong-Sin;Chen, Cheng-Hsin;Yeh, Gour-Tsyh
Contributors:	地球科學學院應用地質研究所
Keywords:	early warning systems;Earth sciences;Earth, ocean, space;Engineering and environment geology. Geothermics;Exact sciences and technology;floods;Hydro-meteorological simulations;hydrograph;Hydrology;Hydrology. Hydrogeology;hydrometeorology;mathematical models;meteorological data;Natural hazards: prediction, damages, etc;prediction;rain;Rainfall–runoff;risk;Taiwan;typhoons;WASH123D;WRF
Date:	2014-05-06
Issue Date:	2026-04-23 14:59:55 (UTC+8)
Publisher:	Elsevier;Kidlington: Elsevier B.V
Abstract:	摘要： •A system integrating rainfall–runoff calculations, field observations and instant data assimilations, is presented.•The hydro-meteorological simulation and modeling procedure are scheduled and automatically triggered.•A prompt estimation method to determine the appropriate parameters for infiltration modeling is proposed.•We should not have the same expectations for the rainfall induced hydrology using rain-gauge data and WRF mesoscale modeling.•The key is how to integrate earlier useful intelligence for watershed modeling. In recent decades, Taiwan has suffered from severe bouts of torrential rain, and typhoon induced floods have become the major natural threat to Taiwan. In order to warn the public of potential risks, authorities are considering establishing an early warning system derived from an integrated hydro-meteorological estimation process. This study aims at the development and accuracy of such a warning system. So it is first necessary to understand the distinctive features of flood forecasting in integrated rainfall–runoff simulations. Additionally the adequacies of a warning system that is based on extracting useful intelligence from earlier, possibly faulty numerical simulation results are discussed. In order to precisely model flooding, hydrological simulations based upon spot measured rainfall data have been utilized in prior studies to calibrate model parameters. Here, precipitation inputs from an ensemble of almost 20 different realizations of rainfall fields have been used to derive flood forecasts. The flood warning system therefore integrates rainfall–runoff calculations, field observations and data assimilations. Simulation results indicate that the ensemble precipitation estimates generated by a Weather Research Forecasting (WRF) mesoscale model produce divergent estimates. Considerable flooding is often shown in the simulated hydrographs, but the results as to the peak time and peak stage are not always in agreement with the observations. In brief, such forecasts can be good for warning against potential damaging floods in the near future, but the meteorological inputs are not good enough to forecast the time and magnitude of the peaks. The key for such warning system is not to expect highly accurate rainfall predictions, but to improve our understanding from individual ensemble flood forecasts. 出版者： Kidlington: Elsevier B.V 出版日期： 2014-05-06 出處： Journal of hydrology (Amsterdam), 2014-05, Vol.512, p.470-481 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2014 Elsevier B.V. 版權： 2015 INIST-CNRS 識別號： ISSN: 0022-1694 識別號： EISSN: 1879-2707 識別號： DOI: 10.1016/j.jhydrol.2014.02.059 識別號： CODEN: JHYDA7
Appears in Collections:	[Graduate Institute of Applied Geology] journal & Dissertation

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