Probability Distribution Modeling of Extremes Rainfall Series in Makassar City using the L-Moments Method
Keywords:
extreme rainfall, L-moments, and probability distributionAbstract
Information on probability distribution of extreme rainfall is very important for planning of water resources and studying related to climatic change. The objective of this study is to identify the best fit probability distribution of extreme rainfall series using L-moments method for three rainfall stations in Makassar city for the period 1985-2014. The results of study show that Generalized Logistic distribution (GLO) is the best fit probability model for the annual maximum rainfall at Maritime Meteorological station of Paotere. Meanwhile, Generalized Pareto distribution (GPA) and Generalized Extreme distribution (GEV) were found as the best fit for Biring Romang station of Panakukkang and BBMKG region IV station of Panaikang, respectively.
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