首页|Modelling and validation of flash flood inundation in drylands

Modelling and validation of flash flood inundation in drylands

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In the context of climate change and human activities,flood disasters in arid mountainous areas have become increasingly frequent,and seriously threatened the safety of people's lives and property.Rapid and accurate flash flood inundation modelling is an es-sential foundational research area,which can aid in the reduction of casualties and the minimization of disaster losses;however,this modelling is also very difficult,and models need to be urgently developed to address flash flood forecasting and warnings.The objective of this study is to construct a numerical modelling method for flash floods in drylands.Based on a 2D high-resolution flood numerical model(FloodMap-HydroInundation2D),we hindcasted the dynamic process of flash flooding and show the spatio-temporal characteristics of flash flood inundation for the"8·18"flash flood disaster that occurred in Datong county,Qinghai province.The results showed that the model output effectively agreed with the observed in-undation after the event in terms of both spatial extent and temporal process.Extensive flooding mainly occurred between 00:00 and 01:00 on August 18,2022.Qingshan,Hejia-zhuang and Longwo villages were affected most heavily.We further conducted model sensi-tivity analysis and found that the model was highly sensitive to both roughness and hydraulic conductivity in drylands,and the effect of hydraulic conductivity was more pronounced.Our study confirmed the good performance of our model for the simulation of flash flooding in arid areas and provides a potential method for flash flood assessment and management in arid areas.

flash floodnumerical modellingarid areasDatong countyFlood Map-HydroInundation2D

GAO Dan、YIN Jie、WANG Dandan、YANG Yuhan、LU Yi、CHEN Ruishan

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School of Geographic Sciences,East China Normal University,Shanghai 200241,China

Key Laboratory of Geographic Information Science of Ministry of Education,East China Normal University,Shanghai 200241,China

National Disaster Reduction Center of China,Ministry of Emergency Management of People's Republic of China,Beijing 100124,China

School of Design,Shanghai Jiao Tong University,Shanghai 200240,China

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National Natural Science Foundation of China

41871164

2024

地理学报(英文版)
中国地理学会,中国科学院地理科学与资源研究所

地理学报(英文版)

CSTPCD
影响因子:1.307
ISSN:1009-637X
年,卷(期):2024.34(1)