Flash flood type identification and simulation based on flash flood behavior indices in China

doi:10.1007/s11430-020-9727-1

	Flash flood type identification and simulation based on flash flood behavior indices in China
	Zhai, Xiaoyan 2; Guo, Liang 2; Zhang, Yongyong 1
刊名	SCIENCE CHINA-EARTH SCIENCES
	2021-05-18
页码	15
关键词	Flood similarity Flood behavior Statistical analysis HEC and XAJ models Humid and semi-humid catchments
ISSN号	1674-7313
DOI	10.1007/s11430-020-9727-1
通讯作者	Zhang, Yongyong()
英文摘要	Flash floods present significant heterogeneity over both space and time due to diverse topographic, geomorphologic, and hydro-meteorological conditions of catchments. Accurate identification and simulation of typical flash flood types are of great significance for the mitigation of flash flood disasters at national scale. Three flood peak indices and dynamic indices were adopted to characterize the behavioral variability of flash floods. The typical flash flood types and corresponding behavior indices were identified and simulated using statistical analysis (i.e., principal component analysis, dynamic K-means clustering, and analysis of similarity) and hydrological modelling (i.e., HEC and XAJ models). There were 177 flash flood events at hourly scale being selected for case study from eight catchments with various climatic and geographic characteristics. Results showed that all the flash flood events were clustered into three types (named Types 1, 2, and 3). The Type 1 was characterized by low peak flow intensity, early flood peak occurrence time, and thin flood process with short duration. The Type 2 was characterized by low peak flow intensity, late flood peak occurrence time, and flat flood process with long duration. The Type 3 was characterized by high peak flow intensity and late flood peak occurrence time. Flash flood types showed high consistency with their influencing factors (e.g., catchment forest ratio and drainage area, occurrence time and magnitude of maximum storm intensity, and concentration of a storm event). The simulation performances were basically the same for HEC and XAJ models. As for flash flood event simulations, the average relative error varied from 23.25% to 27.98%, from 11.95% to 18.19%, and from 8.30% to 18.25% for Types 1, 2 and 3, respectively. The average Nash-Sutcliffe efficiency coefficient varied from 0.39 to 0.54, from 0.76 to 0.85, and from 0.86 to 0.91, respectively. As for the six flash flood behavior indices simulations, the average relative root-mean-square error (RMSEr) varied from 0.37 to 0.69, from 0.37 to 0.41, and from 0.18 to 0.25 for Types 1, 2, and 3, respectively. The average correlation coefficient (r) varied from 0.52 to 0.68, from 0.78 to 0.85, and from 0.88 to 0.94, respectively. The flood peak indices were the best simulated for Types 2 and 3 with RMSEr varying from 0.18 to 0.28 and r varying from 0.86 to 0.91. The flood dynamic indices were the best simulated for Type 3 with RMSEr varying from 0.19 to 0.21 and r varying from 0.91 to 0.97. The study provided detailed flood information supports for flood management at catchment scale, and also provided new insights into flash flood simulations in small and medium-sized catchments from perspective of flood behavioral processes.
资助项目	National Natural Science Foundation of China[41807171] ; National Key Research and Development Program of China[2016YFC0400902] ; China National Flash Flood Disaster Prevention and Control Project[JZ0145B2017]
WOS关键词	CATCHMENT CLASSIFICATION ; RAINFALL THRESHOLD ; RIVER-BASIN ; REDUCTION ; REGION ; RISK
WOS研究方向	Geology
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000652988400001
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program of China ; China National Flash Flood Disaster Prevention and Control Project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162547]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Yongyong
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
推荐引用方式 GB/T 7714	Zhai, Xiaoyan,Guo, Liang,Zhang, Yongyong. Flash flood type identification and simulation based on flash flood behavior indices in China[J]. SCIENCE CHINA-EARTH SCIENCES,2021:15.
APA	Zhai, Xiaoyan,Guo, Liang,&Zhang, Yongyong.(2021).Flash flood type identification and simulation based on flash flood behavior indices in China.SCIENCE CHINA-EARTH SCIENCES,15.
MLA	Zhai, Xiaoyan,et al."Flash flood type identification and simulation based on flash flood behavior indices in China".SCIENCE CHINA-EARTH SCIENCES (2021):15.