Open AccessDistribution fitting on rainfall data in Jakarta
Author(s) -
Victor Kurniawan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/650/1/012060
Subject(s) - log normal distribution , flood myth , goodness of fit , rain gauge , statistics , distribution fitting , mathematics , distribution (mathematics) , environmental science , probability distribution , meteorology , geography , mathematical analysis , precipitation , archaeology
The estimation of design flood or rainfall for various return periods is not easy due to the difficulty in finding the fitting distribution for the corresponding data. This study focuses on selecting the best distribution in representing rainfall data from Kemayoran rain gauge (Jakarta, Indonesia) for the last 20 years. The objective is to probe the most fitting distribution for Jakarta. This study applies goodness of fit tests to Kemayoran rainfall data. The result is quite unexpected as the best fitting distributions are not commonly used in flood frequency analysis (FFA) subject and most of them are distributions with three parameters. The referred distributions in Indonesia national standard for flood estimation (SNI 2415:2016) produce mixed results. The classic distributions in FFA e.g. Lognormal 3P and Log-Pearson 3 show good compatibility to the corresponding data while the less prevalent distributions such as Lognormal and Normal are not as compatible.