Estimated Parameters of Rain Flow Distribution Using L-Moment Method in South Sulawesi, Indonesia

Sanusi, Wahidah and Chaerunnisa, Srie and Annas, Suwardi and Side, Syafruddin and Abdy, Muhammad (2022) Estimated Parameters of Rain Flow Distribution Using L-Moment Method in South Sulawesi, Indonesia. Journal of Applied Mathematics and Computation, 6 (1). pp. 30-40. ISSN 2576-0523

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Abstract

This research is an applied research which aims to determine the type of distribution of each district/city in South sulawesi Province. The data used are secondary data belonging to the Water Resources Management Office (PSDA) from 58 rainfall stations with a span of 31 years (1988-2018). The L-Moment method is a method that defines the probability density function of a distribution with its first 4 characteristics. The four characteristics are L-location, L-variability, L-skewness dan L-curtosis. Several types of distribution in this study are the istribution of Generalized Extreme Value (GEV), Generalized Logistics (GLo), Generalized Pareto (GPa), Lognormal III (LN3), Pareto type III (Pe3) and Gumbel. Determination of the best distribution based on 3 test indicators, namely the minimum value of Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) and the maximum value of the Correlation Coefficient (CC). The results obtained are Soppeng district have the GPa distribution; The results of this research can be utilized by the PSDA Service, Public Works Service, civil engineering sector, and researchers in the fields of hydrology, climatology and geography to plan irrigation development, prevention of future disasters or the need for science.

Item Type:	Article
Subjects:	FMIPA > STATISTIKA - (S1) FMIPA > Matematika
Divisions:	FAKULTAS MIPA
Depositing User:	FMIPA UNM
Date Deposited:	30 Aug 2022 05:34
Last Modified:	30 Aug 2022 05:34
URI:	http://eprints.unm.ac.id/id/eprint/24442

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