The aim of this paper is to fit 9 annual maximum river flows in Sabah for a period record of
over 20-48 years into the generalized extreme value (GEV) distribution. Bayesian Markov …

The assessment for long-term and extreme river flow events isnecessary for water resource
management and early preparation for anyexpected hazardous event in the country. This …

In recent years, several Bayesian Markov chain Monte Carlo (MCMC) methods have been
proposed in extreme value analysis (EVA) for assessing the flood risk in a certain location. In …

In Bangladesh, major floods are frequent due to its unique geographic location. About one-
fourth to one-third of the country is inundated by overflowing rivers during the monsoon …

Annual extreme flood distributions were statistically analyzed and studied to determine a
best probability distribution that describes the observed annual maximum peak flows for six …

The purpose of this study is to determine the most suitable extreme value distribution for the
monthly discharge time series of Barlad river (measured at Barlad gauge) for the period …

Abstract Analysis of flood trends is vital since flooding threatens human living in terms of
financial, environment and security. The data of annual maximum river flows in Sabah were …

The extreme value distribution was developed for modeling extreme-order statistics or
extreme events. In this study, we discuss the distribution of the largest extreme. The main …

Geographically, there is not much difference between the annual maximum streamflow
between neighbouring sites. Consequently, inter-site dependency should be taken into …

Abstract The Akosombo Dam is the largest dam in Ghana and is linked to the world's largest
man-made lake by surface area. The top of flood control pool of the dam has been breached …