Effect of catchment properties and flood generation regime on copula selection for bivariate flood frequency analysis

2018 ◽  
Vol 66 (4) ◽  
pp. 791-806
Author(s):  
Valeriya Filipova ◽  
Deborah Lawrence ◽  
Harald Klempe
Keyword(s):  
Frequency Analysis ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Generation Regime ◽  
Selection For ◽  
Flood Generation

Estimating design floods in Norway considering distinct flood generation mechanisms

2020 ◽  
Author(s):  
Lei Yan ◽  
Lihua Xiong ◽  
Lingqi Li ◽  
Gusong Ruan ◽  
Chong-Yu Xu ◽  
...  
Keyword(s):  
Frequency Analysis ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Weighting Coefficient ◽  
Mixture Distributions ◽  
Flood Events ◽  
Component Mixture ◽  
Design Floods ◽  
Flood Generation ◽  
Generation Mechanisms

<p>In the traditional flood frequency analysis, researchers typically assume the flood events result from a homogeneous flood population. However, actually flood events are likely to be generated by distinct flood generation mechanisms (FGMs), such as snowmelt-induced floods and rainfall-induced floods. To address this problem in flood frequency analysis, currently, the most popular practice for mixture modeling of flood events is to use two-component mixture distributions (TCMD) without a priori classification of distict FGMs, which could result in component distributions without physical reality or lead to a larger standard error of the estimated quantiles. To improve the mixture distribution modeling in Norway, we firstly classify the flood series of 34 watersheds into snowmelt-induced long-duration floods and rainfall-induced short-duration floods based on an index named flood timescale (FT), defined as the ratio of the flood volume to peak value. A total of ten types of mixture distributions are considered in the application of FT-based TCMD to model the flood events in Norway. The results indicate that the FT-based TCMD model can reduce the uncertainty in the estimation of design floods. The improved predictive ability of the FT-based TCMD model is largely due to its explicit recognition of distinct FGMs, enabling the determination of the weighting coefficient without optimization.</p>

Flood frequency analysis of simulated flows

1992 ◽  
Vol 28 (9) ◽  
pp. 2375-2385 ◽  
Author(s):  
A. Allen Bradley ◽  
Kenneth W. Potter
Keyword(s):  
Frequency Analysis ◽  
Flood Frequency ◽  
Flood Frequency Analysis
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