ESTIMATION OF HOURLY AND DAILY RAINFALL INTENSITY USING PROBABILITY DISTRIBUTION IN KEMAMAN

Malaysia has experienced uttermost rainfall events during the monsoon seasons that last for several hours and consequently lead to flash floods. This study was located at Kemaman, Terengganu. Annual maximum (AM) hourly and daily rainfall data at seven stations were collected from the Department of Irrigation and Drainage (DID), and the probability distributions are analysed for these set of data. This study aims to estimate the AM hourly and daily rainfall intensity for selected Average Recurrence Interval (ARI) using Log-Pearson Type III (LPIII) distribution and Gumbel distribution. In this study, the goodness of fit test for the distribution is tested using Kolmogorov-Smirnov (KS) test and Anderson-Darling (AD) test. Based on the output generated, LPIII distribution is proven to be the most appropriate probability distribution function for AM hourly and daily rainfall for Kemaman. The estimated extreme rainfall intensity for various ARIs can be used as the basic inputs in hydrologic design.