z-logo
open-access-imgOpen Access
BIVARIATE FREQUENCY ANALYSIS OF FLOOD VARIABLES USING COPULA IN KELANTAN RIVER BASIN
Author(s) -
Mahiuddin Alamgir,
Tarmizi Ismail,
Muhammad Noor
Publication year - 2018
Publication title -
malaysian journal of civil engineering
Language(s) - English
Resource type - Journals
ISSN - 1823-7843
DOI - 10.11113/mjce.v30n3.515
Subject(s) - bivariate analysis , copula (linguistics) , flood myth , return period , joint probability distribution , univariate , 100 year flood , statistics , hydrology (agriculture) , environmental science , structural basin , mathematics , multivariate statistics , econometrics , geology , geography , geomorphology , geotechnical engineering , archaeology
A copula-based methodology is presented in this study for bivariate flood frequency analysis of Kelantan river basin located in Northeast Malaysia. The joint dependence structures of three flood characteristics, namely, peak flow (Q), flood volume (V) and flood duration (D) were modelled using t-Copula. Various univariate distribution functions of flood variables were fitted with observed flood variables to find the best distributions. Cumulative joint distribution functions (CDF) of peak flow and volume (Q-F), peak flow and duration (Q-D) and volume and duration (V-D) revealed that return period of joint return periods are much higher compared to univariate return period. The joint probabilities of occurrence of 0.8, 0.6, 0.4, 0.2 and 0 can be expected when flood duration greater than 65 h, 54 h, 46 h, and 32 h, and the flood volume higher than 0.62 km3, 0.33 km3, 0.25 km3, and 0.22 km3 respectively.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom