Penggunaan metode L-moment dalam pemodelan hujan harian maksimum Kota Makassar

Sanusi, Wahidah and Abdy, Muhammad and Side, Syafruddin (2019) Penggunaan metode L-moment dalam pemodelan hujan harian maksimum Kota Makassar. In: Seminar Nasional Lembaga Penelitian Universitas Negeri Makassar “Diseminasi Hasil Penelitian melalui Optimalisasi Sinta dan Hak Kekayaan Intelektual”, 18 Desember 2018, Makassar, Indonesia.

	Text (Artikel Prosiding Seminar Nasional) 1.C.1_1.3_1. Prosiding SemNas LP2M 2019-Wahidah-Penggunaan_metode_L_moment_dalam_pemodel.pdf - Published Version Download (226kB)
	Text (Hasil Turnitin) T.1.C.1_1.3_1. Prosiding SemNas LP2M 2019-Wahidah-Penggunaan_metode_L_moment_dalam_pemodel.pdf.pdf - Supplemental Material Download (272kB)

Abstract

Evaluation of maximum rainfall events is important in the management and planning of water sources which, among others, aim to design a drainage system and abundant water storage. This evaluation can be done through estimation of design rainfall. This rain design is very dependent on the type of distribution of opportunities for rain. Therefore, the purpose of this study was to identify the maximum distribution of rainfall opportunities in the city of Makassar using the L-Moment method. This method provides information about the size of the location, size of the spread, skewness and kurtosis of the distribution of probability data samples. The data used in this study is the annual maximum daily rainfall data of the Paotere Maritime Meteorology rain station in Makassar in the period 1985-2017. This station is selected based on the completeness and length of the data. Based on the good of fit distribution model, it was found that rainfall at the Paotere Maritime Meteorological Stat ion followed the distribution of Generalized Logistics. The results of this study can then be used to estimate design rainfall.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	FAKULTAS MIPA
Depositing User:	Zainatun
Date Deposited:	23 Jun 2023 12:45
Last Modified:	23 Jun 2023 12:57
URI:	http://eprints.unm.ac.id/id/eprint/31442

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