Modelling annual maximum river flows with generalized extreme value distribution

R Y Cheong and Darmesah Gabda (2019) Modelling annual maximum river flows with generalized extreme value distribution. Journal of Computer Science & Computational Mathematics, 9. pp. 7-10. ISSN 2231-8879

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Abstract

A good understanding of probability distribution of annual maximum river flow is believed to improve water resources planning and design. Based on the annual maximum river flow record over 20-48 years at 9 individual river sites in Sabah, the data set are fitted into generalized extreme value (GEV) distribution with maximum likelihood estimator. Both stationary and non-stationary models are considered. Likelihood ratio test shows that most of the river flows are stationary. Over a homogeneous region, a parent distribution with common shape parameter is found well describing the behavior of selected annual maximum river flow. Hence, 10- and 100-year return levels are estimated using the single model.

Item Type:	Article
Keyword:	Generalized extreme distribution , Maximum likelihood estimator , Annual maximum river flow
Subjects:	Q Science > QE Geology T Technology > T Technology (General)
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	22 Jul 2021 14:09
Last Modified:	22 Jul 2021 14:09
URI:	https://eprints.ums.edu.my/id/eprint/30040

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