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Flash flood modeling in the data-poor basin:A case study in Matina River Basin

Tropical Cyclone Research and Review 2021年第2期10卷 87-95页

作者： Rhonalyn V.Macalalad Shichao Xu roy a.badilla Socrates F.Paat Bema C.Tajones Yangbo Chen Gerry Bagtasa Philippine Atmospheric Geophysical and Astronomical Services AdministrationDepartment of Science and TechnologyQuezon CityPhilippines School of Geography and Planning Sun Yat-Sen UniversityGuangzhouChina Institute of Environmental Science and Meteorology University of the PhilippinesQuezon CityPhilippines

Forecasting flooding hazards is a very effective non-engineering measure for flood ***,the commonly used forecasting method in simulating flash flood events is through a watershed hydrological *** Asia-Pacific countries like the Philippines are prone to frequent hydrometeorological hazards such as tropical cyclones,resulting in frequent heavy rainfall ***,most rivers in the many basins lack water flow observation data,which makes it challenging to use lumped and data-driven models for flash flood *** the continuous progress of remote sensing(RS)and geographic information system(GIS)techniques,the physically-based distributed hydrological model(PBDHMs)has rapidly *** can directly determine the model parameters according to the underlying surface characteristics from remotely-sensed data,which makes it possible for flood forecasting in areas with little to virtually no *** this study,the Matina River basin in Davao City was selected as a case study in simulating a small data-poor basin in the *** Liuxihe model was used to formulate a forecasting scheme and simulated the past flash flood *** results show that there is a good correspondence between the past heavy rainfall events and their corresponding simulated river *** results conform to the hydrological regularities,which can be used for flood forecasting and can serve as a baseline for the development of a flood forecasting system in the rivers of Davao City and elsewhere.

关键词： Typhoon Flash flood Liuxihe model

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