Investigation on flood event variations at space and time scales in the
Huai River Basin of China using flood behavior classification
Abstract
Flood is one of the severest natural disasters in the world and causes
huge losses to human life and property. Previous studies usually focus
on flood peak and its occurrence at event scale which are insufficient
to contain entire behavior characteristics of flood events and their
spatio-temporal variations. In our study, 12 behavior metrics in five
categories (e.g. magnitude, duration, timing, rating of changes and
variability) are adopted to fully describe the flood event. Regional and
interannual variations of representative flood classes are investigated
based on behavior similarity classification of numerous events by
principal component analysis and hierarchical clustering. Contributions
of geographical, land use, hydrometeorological and human regulation on
these variations are explored by rank analysis method. There are 342
flood events from 2006 to 2015 at 39 stations across the upper and
middle Huai River Basin of China selected for our study. Results show
that: five representative classes are identified, namely conventional
events (Class 1, 61.7% of total), low volume events with multiple peaks
(Class 2, 5.3%), low volume events with low ratings of changes (Class
3, 18.1%), low volume events with high ratings of changes (Class 4,
10.8%) and high volume events with long durations (Class 5, 4.1%).
Classes 1 and 3 are the major flood events, distributed across the whole
region. Class 4 mainly distributes in river sources, while Classes 2 and
5 distribute in middle and down streams. Moreover, the class is the most
diverse in normal precipitation years (2006, 2008-2010 and 2015),
followed by wet years (2007, 2013-2014), but it is the most homogeneous
in dry years (2011 and 2012). All the impact factor categories explain
34.0—84.1% of individual flood class variations. The
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%) categories. This study could provide new insights into
the flood event variations in a comprehensive manner, and provide
decision-making basis for flood control and resource utilization at
basin scale.