Md Ashraful Alam, Kazuo Emura, Craig Farnham, Jihui Yuan
The study of frequency analysis is important to find the most suitable model that could anticipate extreme events of certain natural phenomena e.g., rainfall, floods, etc. The goal of this study is to determine the best-fit probability distributions in the case of maximum monthly rainfall using 30 y...
Md Ashraful Alam, Craig Farnham, Kazuo Emura
In this study, Gaussian/normal distributions (N) and mixtures of two normal (N2), three normal (N3), four normal (N4), or five normal (N5) distributions were applied to data with extreme values for precipitation for 35 weather stations in Bangladesh. For parameter estimation, maximum likelihood esti...
Md Ashraful Alam, Craig Farnham, Kazuo Emura
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 this study, the Hamiltonian Monte Carlo (HMC) method was employed to obtain the approximations to the posterior marginal...
Md Ashraful Alam, Craig Farnham, Kazuo Emura
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 season almost every year. Calculating the risk level of river discharge is important for making plans to protect the ecos...
Md Ashraful Alam, Kazuo Emura, Craig Farnham, Jihui Yuan