Analisis Distribusi Frekuensi dan Periode Ulang Hujan

Studi Kasus: Curah Hujan Kecamatan Long Iram Kabupaten Kutai Barat Tahun 2013-2017

  • Widyawati Widyawati Laboratorium Statistika Terapan FMIPA Universitas Mulawarman
  • Desi Yuniarti Laboratorium Statistika Ekonomi dan Bisnis FMIPA Universitas Mulawarman
  • Rito Goejantoro Laboratorium Statistika Komputasi FMIPA Universitas Mulawarman

Abstract

Increasing water demand for various needs can be a complex problem so it is necessary to manage water resources. Analysis of hydrological data is very necessary to get information about water resources where the information can be used as a benchmark for planning a water resources builder. One of hydrological analysis is the analysis of rainfall data where this analysis uses frequency distribution analysis and rain return periods. There are four types of distribution used, namely normal distribution, normal log distribution, Gumbel distribution and type III log Pearson distribution. The goodness of fit test uses the Kolmogorov-Smirnov method, Chi-Square and Anderson-Darling. Rainfall return calculation is calculated when it is known the type of distribution of the data studied. This research uses rainfall data of Long Iram Sub-Distric, West Kutai Distric in 2013 to 2017 obtained from the Meteorology, Climatology and Geophysics Agency (BMKG) of Samarinda City. The results from research showed that the Gumbel distribution was the right distribution or distribution that was the best with the results of the return period of rain for the return period of 2 years obtained by rainfall of 519 mm, 5-year return period of 796 mm, 10-year return period of 980 mm, return period 20 years of 1.154 mm, a 50 year return period of 1.348 mm and in a 100 year return period of 1.752 mm.

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Published
2021-01-19
How to Cite
WIDYAWATI, Widyawati; YUNIARTI, Desi; GOEJANTORO, Rito. Analisis Distribusi Frekuensi dan Periode Ulang Hujan. EKSPONENSIAL, [S.l.], v. 11, n. 1, p. 65-70, jan. 2021. ISSN 2798-3455. Available at: <https://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/646>. Date accessed: 29 apr. 2024.
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Articles