Hydrological and Hydraulic Uncertainty Analysis in Probabilistic Design of Flood Diversion Systems Using NSGAII and Bivariate Frequency Analysis

2020 ◽  
Author(s):  
Yahya Rahimi ◽  
Bahram Saghafian ◽  
Mohammad Ali Banihashemi
Keyword(s):  
Uncertainty Analysis ◽  
Frequency Analysis ◽  
Probabilistic Design ◽  
Bivariate Frequency Analysis ◽  
Flood Diversion

scholarly journals Evaluation dam overtopping risk based on univariate and bivariate flood frequency analysis

2011 ◽  
Vol 8 (6) ◽  
pp. 9757-9796 ◽  
Author(s):  
E. Goodarzi ◽  
M. Mirzaei ◽  
L. T. Shui ◽  
M. Ziaei
Keyword(s):  
Uncertainty Analysis ◽  
Frequency Analysis ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Logistic Distribution ◽  
Maximum Height ◽  
Risk And Uncertainty ◽  
Flood Peak ◽  
Bivariate Frequency Analysis ◽  
Dam Overtopping

Abstract. There is a growing tendency to assess the safety levels of existing dams based on risk and uncertainty analysis using mathematical and statistical methods. This research presents the application of risk and uncertainty analysis to dam overtopping based on univariate and bivariate flood frequency analyses by applying Gumbel logistic distribution for the Doroudzan earth-fill dam in south of Iran. The bivariate frequency analysis resulted in six inflow hydrographs with a joint return period of 100-yr. The overtopping risks were computed for all of those hydrographs considering quantile of flood peak discharge (in particular 100-yr), initial depth of water in the reservoir, and discharge coefficient of spillway as uncertain variables. The maximum height of the water, as most important factor in the overtopping analysis, was evaluated using reservoir routing and the Monte Carlo and Latin hypercube techniques were applied for uncertainty analysis. Finally, the achieved results using both univariate and bivariate frequency analysis have been compared to show the significance of bivariate analyses on dam overtopping.

scholarly journals A Bivariate Frequency Analysis of Extreme Wave Heights and Periods Using a Copula Function in South Korea

2018 ◽  
Vol 85 ◽  
pp. 566-570
Author(s):  
Yong-Tak Kim ◽  
Jong-Hyeon Park ◽  
Byoung-Han Choi ◽  
Dong Ho Kim ◽  
Hyun-Han Kwon
Keyword(s):  
South Korea ◽  
Frequency Analysis ◽  
Copula Function ◽  
Extreme Wave ◽  
Wave Heights ◽  
Bivariate Frequency Analysis

Importance of Tail Dependence in Bivariate Frequency Analysis

2007 ◽  
Vol 12 (4) ◽  
pp. 394-403 ◽  
Author(s):  
Annie Poulin ◽  
David Huard ◽  
Anne-Catherine Favre ◽  
Stéphane Pugin
Keyword(s):  
Frequency Analysis ◽  
Tail Dependence ◽  
Bivariate Frequency Analysis
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