Investigation on inundation forecasting

碩士 === 中國科技大學 === 土木與防災應用科技研究所 === 98 === Taiwan is located in subtropical regions, the island surrounded by the sea. The average annual rainfall of about 2,510 mm. Flood disasters often generate in summer and autumn. Simulation and application of past flood have good results. The flood simulation a...

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Bibliographic Details
Main Authors: Chia-Ming Hsu, 許家銘
Other Authors: Yung Duan
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/39757076223585325512
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Summary:碩士 === 中國科技大學 === 土木與防災應用科技研究所 === 98 === Taiwan is located in subtropical regions, the island surrounded by the sea. The average annual rainfall of about 2,510 mm. Flood disasters often generate in summer and autumn. Simulation and application of past flood have good results. The flood simulation always needs longer time. The rainfall data is automatic rainfall station data. Rainfall data is less in the region. So the forecasting method cannot provide reliable information. Therefore, this study will establish a simple and quick to flood early warning system, using potential inundation map and geographic information system set up rain - flooded area charts regression equations, then NSC (Develop the radar rainfall forecasting Technique for Basin) by the integrated development of radar rainfall data QPESUMS flood forecasting and regression for each region to find flood warning rainfall values. The study area selected for the Taiwan County, and historical events using the Typhoon 2008 Typhoon KALMAEGI, FUNG-WONG typhoon, Typhoon SINLAKU, JANGMI typhoon simulation verification, and then to MORAKOT in 2009 and typhoons Typhoon PARMA flood forecasting. The results show that the disaster warning point with the real disaster fairly consistent, forecasting the outcome of this research note shows warning means flooding has achieved much success in the application. This method can make flood warning and forecasting of rainfall by using QPESUMS radar to calculate the individual area of the flooded area, and this information provides disaster prevention unit, expected to reduce the occurrence of disasters.