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NCUEIR > College of Liberal Arts > Department of Geography > Proceedings > Item 987654321/19635

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/19635

Title:	A Statistics-based and An Simple Physics-based Models Toward An Operational and Early Flood Warning System
Authors:	Yang, Tsun-Hua;Chen, Yi-Chin;Chang, Ya-Chi;Yang, Sheng-Chi;Ho, Jui-Yi;Hwang, Gong-Do
Contributors:	地理學系
Keywords:	Flood Potential Forecasting;Ensemble Quantitative Precipitation Forecast
Date:	2014
Issue Date:	2015-04-29T04:11:29Z
Abstract:	Life and property losses because of disasters such as flooding are getting dramatic increases for past years. Frequent extreme weather events have even worsened the damages globally. Given sufficient information in advance, disaster preparedness and management can be wellsettled. The damages and losses can be mitigated and even prevented. An early disaster warning system, named TAPEX Expert System - Flooding Potential Quick Look System, has been built in 2013 in Pingtung County, Taiwan to provide enough lead times for decision-makers to take prevented measures and execute cautions. Using ensemble quantitative precipitation forecasts, the system could estimate the flood risk at township level and issue possible threat warnings up to 72 hours in advance. The system is a statistics-based model and rapidly provides information to meet the operational needs. However, further detailed information, such as what exact villages instead of townships are flooded, is no doubt a need to speed up the response process. Therefore a simple physics-based model then is developed to identify possible flooding areas downscale to village level. Three villages (out of 33) in Pingtung County and two typhoon events were applied to test the model. The results were presented against those from a complex model and demonstrated promising potential as a valuable reference for better emergency response to alleviate the loss of lives and property in the future operation practice.
Relation:	11th International Conference on Hydroinformatics, New York City, USA.
Appears in Collections:	[Department of Geography] Proceedings

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