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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Hydrological Process...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Hydrological Processes
Article . 2008 . Peer-reviewed
License: Wiley Online Library User Agreement
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Coefficient of variation of annual flood peaks: variability of flood peak and rainfall intensity

Authors: Yasuhisa Kuzuha; Kunio Tomosugi; Tokuo Kishii; Yosuke Komatsu;

Coefficient of variation of annual flood peaks: variability of flood peak and rainfall intensity

Abstract

AbstractScaling can be a powerful solution for predictions in ungauged basins (PUB). Since becoming a principal scaling tool, the theory concerning the index flood method has been criticized because it requires some scaling conditions that are satisfied in few river basins. In that method, precipitation and flood discharge variability play key roles. Consequently, the coefficient of variation (CV) of annual flood peaks came to be considered after the 1990s. In this paper, we have attempted to clarify true CV characteristics of flood discharges.Using numerical simulations, we attempt to reproduce the empirical characteristics of an increase in CV with increasing catchment area for a small basin (i.e. less than 30–100 km2) and decrease in CV with increasing catchment area for a large basin. First, as a preliminary test, we developed a simple model, which is on the basis of the unit hydrograph. Results obtained using this simple model show that the CV of annual flood peaks shows a constant‐increasing‐constant pattern, but this model cannot reproduce the empirical characteristics. Secondly, we used an idealized channel network to find the cause of decreasing CV. However, results show that the ability to reproduce the empirical characteristics is unrelated to the presence or absence of a network. This was confirmed using a distributed rainfall‐runoff (DRR) model comprising a channel network. The most important cause is decreased CV of rainfall intensity with increasing catchment area.Furthermore, increasing CV of the peak discharge response (PDR) function increases the CV of annual flood peaks. However, the CV of PDR of a partial duration series does not affect the CV of annual flood peaks for smaller basins (0·1 km2 in our simulation condition); hence CV is constant for small basins. Copyright © 2008 John Wiley & Sons, Ltd.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
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