Open AccessAnalysis of annual maximum and partial duration rainfall series
Author(s) -
Jing Lin Ng,
Soon Kim Tiang,
Yuk Feng Huang,
Nur Ilya Farhana Md Noh,
Ramez A. Al-Mansob
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/646/1/012039
Subject(s) - generalized pareto distribution , series (stratigraphy) , generalized extreme value distribution , statistics , probability distribution , mathematics , extreme value theory , monsoon , flood myth , log normal distribution , goodness of fit , environmental science , climatology , geography , geology , paleontology , archaeology
Kelantan River Basin is affected by two significant monsoon seasons, namely the Northeast and Southwest monsoons that lead to flood and heavy downpour events. Consequently, analysis of rainfall series is gaining more attention from researchers. The aim of this study is to analyse the annual maximum series (AMS) and partial duration series (PDS) by fitting different probability distributions. Generalized Extreme Value (GEV), Generalized Pareto (GP), Log Pearson Type 3 (LP3), Log Normal (LN) and Log Normal 3 (LN3) were used in this study. The performances of these probability distributions were evaluated using different goodness-of-fit tests, namely the chi-square (χ2), Kolmogorov-Smirnov (KS) and Anderson-Darling (AD) tests. Subsequently, the performances of probability distributions were compared and the best fit probability distribution was selected. The GEV and GP distributions were selected as the best fit probability distributions for AMS and PDS, respectively. The findings can provide useful information for flood mitigation and water resources management.