Investigation on flood event variations at space and time scales in the Huaihe River Basin of China using flood behavior classification

作     者：ZHANG Yongyong CHEN Qiutan XIA Jun 张永勇;陈秋潭;夏军

作者机构：Key Laboratory of Water Cycle and Related Land Surface ProcessesInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China University of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2020年第30卷第12期

页      面：2053-2075页

核心收录：

学科分类：081504[工学-水利水电工程] 08[工学] 081501[工学-水文学及水资源] 0815[工学-水利工程] 

基　　金：National Key Research and Development Program of China,No.2016YFC0400902 National Natural Science Foundation of China,No.41671024,No.41807171 

主　　题：flood events behavior metrics classification regional and interannual variations potential impacts 

摘      要：Flood is one of the severest natural disasters in the world and has caused enormous causalities and property *** studies usually focus on flood magnitude and occurrence time at event scale,which are insufficient to contain entire behavior characteristics of flood *** our study,nine behavior metrics in five categories(e.g.,magnitude,duration,timing,rates of changes and variability)are adopted to fully describe a flood *** and interannual variations of representative flood classes are investigated based on behavior similarity classification of numerous *** of geography,land use,hydrometeorology and human regulation on these variations are explored by rank analysis *** show that:five representative classes are identified,namely,conventional events(Class 1,61.7% of the total),low discharge events with multiple peaks(Class 2,5.3%),low discharge events with low rates of changes(Class 3,18.1%),low discharge events with high rates of changes(Class 4,10.8%)and high discharge events with long durations(Class 5,4.1%).Classes 1 and 3 are the major flood events and distributed across the whole *** 4 is mainly distributed in river sources,while Classes 2 and 5 are in the middle and down ***,the flood class is most diverse in normal precipitation years(2006,2008-2010 and 2015),followed by wet years(2007,2013-2014),and dry years(2011 and 2012).All the impact factor categories explain 34.0%-84.1% of individual flood class *** hydrometeorological category(7.2%-56.9%)is the most important,followed by geographical(1.0%-6.3%),regulation(1.7%-5.1%)and land use(0.9%-2.2%)*** study could provide new insights into flood event variations in a comprehensive manner,and provide decision-making basis for flood control and resource utilization at basin scale.