Bivariate flood frequency analysis using Gumbel Copula. Malaysian Journal of Civil Engineering, 30 (2). pp. 193-201. ISSN 1823-7843 (2018)
Abstract
A copula based methodology is presented in this study forbi variate flood frequency analysis over a station over a Kelantan river basin located in Northeast Malaysia. The joint dependence structures of three flood characteristics, namely, peak flow, flood volume and flood duration were modelled using Gumble Copula. Various univariate distribution functions of flood variables were fitted with observed flood variables to find the best distributions (eg. generalized pareto, log-normal, exponential, gamma distribution, weibull, gumbel, cauchy). The results of study revealed that different variable fits with different distributions and the correlation analysis among variables showed a strong association. Cumulative joint distribution functions (CDF) of peak flow and volume, peak flow and duration and volume and duration revealed that return period of joint return periods are much higher.
| Item Type: | Article |
|---|---|
| Keywords: | Flood frequency analysis, Gumbel copula, Bivariate probability distribution |
| Taxonomy: | By Subject > College of Engineering > Civil Engineering > Water Resources and Environment |
| Local Content Hub: | Subjects > College of Engineering |
| Depositing User: | Eza Eliana Abdul Wahid |
| Date Deposited: | 21 Nov 2022 09:19 |
| Last Modified: | 21 Nov 2022 09:19 |
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