JOURNAL ARTICLE

BIVARIATE FREQUENCY ANALYSIS OF FLOOD VARIABLES USING COPULA IN KELANTAN RIVER BASIN

Abstract

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.

Keywords:
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

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Citation History

Topics

Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change
Flood Risk Assessment and Management
Physical Sciences →  Environmental Science →  Global and Planetary Change
Climate variability and models
Physical Sciences →  Environmental Science →  Global and Planetary Change

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