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Applying Quantitative Precipitation Estimations of Radar to Improve a Rainfall-Threshold Based Flood Warning System in Taiwan

Author(s): Hao-Yu Liao; Tsung-Yi Pan; Ming-Daw Su; Ming-Chang Hsieh; Yih-Chi Tan; Tsang-Jung Chang

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Keywords: Rainfall threshold; Radar data; Flood warning

Abstract: Flood disasters became more powerful damage than before because of the extreme weather change. In recent years, Taiwan climate changing significantly, for example, although extreme weather change leads to reduce typhoon impaction of number in Taiwan, it still became more strength for each typhoon, like Typhoon Morakot which brought record-breaking cumulative rainfall over100 years of return period. In response to extreme weather change, Taiwan government built a preliminary flood warning system. The flood warning system appliesrainfall thresholds (RTs) as the kernel functionto alert flood events. When the cumulative rainfall reaches the RT, the system willdeliveralert amessage to people. Due to the 1 to 3-hour early warning time, Taiwan governmentshavemore time to prepare for flood disasters. However, the flood warning systemlacks of theoretical background, and it cannot alert uneven rainfallswell. Therefore, improvingeffectively flood warning system is very important. Theresearch builds optimum rainfall threshold model (ORT-Model) to not only improve the accuracy for flood warning system and but also develop aradar rainfall threshold model (radar RT model) to overcomethe uneven rainfall spatial problem. According to results, the radar RT modelhas better performance foralert uneven rainfall disasters and has higher accuracy for flood predictions.


Year: 2016

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