Choosing the best fit distribution for rainfall event characteristics based on 6H-IETD within Peninsular Malaysia

Abstract:

In selecting the best-fit distribution model for the rainfall event characteristics based on the inter-event time definition (IETD) of 6 hours for the selected rainfall in the Peninsular of Malaysia, seven distributions were utilized namely the beta (B4), exponential (EX1), gamma (G2), generalized extreme value (GEV), generalized Pareto (GP), Log-Pearson 3 (LP3), and Wakeby (WKB). Maximum likelihood estimation (MLE) was applied to estimate the parameters of each distribution. Based on the results, GP, WKB and GEV were found to be the most suitable distribution for describing the rainfall event characteristics in the studied regions.

Abstrak:

Dalam permilihan model taburan yang bersesuaian dengan sifat musim hujan berdasarkan definasi masa antara kejadian untuk 6 jam bagi kawasan Semenanjung Malaysia, 7 jenis taburan telah digunakan iaitu the beta (B4), exponential (EX1), gamma (G2), generalized extreme value (GEV), generalized Pareto (GP), Log-Pearson 3 (LP3), dan Wakeby (WKB). Penganggar kebolehjadian maksimum (MLE) telah digunakan untuk menganggarkan parameter untuk setiap taburan. Bedasarkan keputusan analisa, WKB, GP dan GEV menjadi taburan yang bersesuaian untuk memperihal sifat musim hujan bagi kawasan kajian. Kata kunci: Musim hujan, model taburan, definasi antara kejadian, Semenanjung Malaysia.

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Cite as:

Hassan, Z., Shamsudin, S., and Harun, S. Choosing the best fit distribution for rainfall event characteristics based on 6H-IETD with Peninsular Malayisa. Jurnal Teknologi (Sciences and Engineering), 75 (1), 145–157. DOI: http://dx.doi.org/10.11113/jt.v75.3058

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