Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management

doi:10.1016/j.scitotenv.2020.142977

	Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management
	Zhai, Xiaoyan 2; Zhang, Yongyong 1,3; Zhang, Yongqiang 3; Guo, Liang 2; Liu, Ronghua 2
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2021-04-01
卷号	763 页码:19
关键词	Flash flood type Flash flood behavior metrics k-means clustering Hydrological model Mountainous catchments
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2020.142977
通讯作者	Zhang, Yongyong(zhanay003@igsnrr.ac.cn)
英文摘要	China frequently suffers from considerable and disastrous flash floods with wide areal coverage and high frequency. Obtaining useful information to support flash flood management and decision-making is challenging for massive flash flood events that vary greatly in spatio-temporal characteristics. In this study, hydrological modelling approach (CNFF) and cluster analysis were integrated to assess simulation reliability of entire flash flood processes including both hydrographs and behavior characteristics in a manner of similarity classification, rather than at event scale. A total of 207 hourly events from 13 mountainous catchments with diverse physiographic and meteorological characteristics across China were selected for study. Representative flash flood types were classified using normalized hydrographs with diverse spatio-temporal patterns by k-means clustering algorithm. For individual flash flood types, simulation reliability of CNFF was assessed in capturing corresponding hydrographs, seven behavior metrics measuring flash flood magnitude, intensity, occurrence time, flood timescale, rates of change and variability, and their uncertainties. Results showed that three (fast, intermediate and slow) flash flood types were identified from all the flash flood events with overall average silhouette index of 0.45. Hourly hydrographs of three flash flood types were well reproduced by CNFF, with absolute average relative error of runoff within 15% and Nash-Sutcliffe Efficiency above 0.55. All the behavior metrics were the most accurately reproduced for slow flash flood type with the least average relative root-mean-square error (0.30), followed by intermediate (0.52) and fast (0.58) types. Moreover, the slow flash flood type had the most reliable but greatest uncertainty interval of both hydrograph and behavior metrics, with average relative interval length being 1.24 and 71.96%, and 93.10% and 100% of observations contained in 95% confidence interval, respectively. This study provided efficient and detailed information for flash flood management, and extended application scope of hydrological models to encompass flash flood types and behavior metrics. (C) 2020 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[41807171] ; National Key Research and Development of China[2019YFC15106]
WOS关键词	DISTRIBUTED HYDROLOGICAL MODELS ; MEANS CLUSTERING METHOD ; FORMAL BAYESIAN METHOD ; SOIL-MOISTURE ; CATCHMENT CLASSIFICATION ; RIVER-BASIN ; MOUNTAINOUS CATCHMENTS ; UNCERTAINTY ASSESSMENT ; RAINFALL THRESHOLD ; DATA ASSIMILATION
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000608188700040
资助机构	National Natural Science Foundation of China ; National Key Research and Development of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/136340]
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.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China 2.China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China 3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Zhai, Xiaoyan,Zhang, Yongyong,Zhang, Yongqiang,et al. Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,763:19.
APA	Zhai, Xiaoyan,Zhang, Yongyong,Zhang, Yongqiang,Guo, Liang,&Liu, Ronghua.(2021).Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management.SCIENCE OF THE TOTAL ENVIRONMENT,763,19.
MLA	Zhai, Xiaoyan,et al."Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management".SCIENCE OF THE TOTAL ENVIRONMENT 763(2021):19.