IMHE OpenIR  > 山地灾害与地表过程重点实验室
Hu, Kaiheng1,2; Li, Pu1,2,3; You, Yong1,2; Su, Fenghuan1,2
Corresponding AuthorHu, Kaiheng
Source PublicationIV International Conference Debris flows: Disasters, Risks, Forecast, Protection ; СЕЛЕВАЯ АССОЦИАЦИЯ ФЕДЕРАЛЬНОЕ АГЕНТСТВО НАУЧНЫХ ОРГАНИЗАЦИЙ (ФАНО РОССИИ)
Conference DateSep.6-Sep.10,2016
Conference Place伊尔库茨克, 俄罗斯
Funding OrganizationИнститут земной коры СО РАН ; Селевая Ассоциация ; Институт географии им. В.Б. Сочавы СО РАН

A hydrologically based model is developed for delineating hazard zones in valleys of debris flow basins. The basic assumption of this model is that the ratio of peak discharges of any two cross sections in a debris-flow basin is a power function of the ratio of their flow accumulation areas. Combining the advantages of the empirical and flow routing models of debris-flow hazard zoning, this hydrological model with minimal data requirements has the ability to produce hazard intensity values at different event magnitudes. The algorithms used in this model are designed in the framework of gridbased geographic processing and implemented completely on ArcGIS platform and a Python scripting environment. Qipan basin in the Wenchuan county of Sichuan province, southwest China where a large-scale debris-flow event occurred on July 11, 2013 was chosen as the test case for the model. The hazard zone identified by the model showed good agreement with the real inundation area of the event. The proposed method can help identify small hazard areas in upstream tributaries and 20 the developed model is promising in terms of its application in debris-flow hazard zoning.

KeywordHazard Mapping Debris Flow Alluvial Fan Hydrological Model
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Document Type会议论文
Affiliation1.1Key Laboratory of Mountain Hazards and Earth Surface Processes, Chinese Academy of Sciences, Chengdu 610041, China
2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences & Ministry of Water Conservancy, Chengdu 610041, China
3.3University of Chinese Academy of Sciences, Beijing 100049, China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Hu, Kaiheng,Li, Pu,You, Yong,et al. A DEM BASED APPROACH FOR DELINEATING HAZARD ZONES[C],2016:279-280.
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