ASMADI, - (2023) THE COMPARISON OF GENERATED SYNTHETIC MONTHLY RAINFALL USING SOME TWO PARAMETERS DISTRIBUTION. American Journal of Sciences and Engineering Research, 6 (3). pp. 129-138. ISSN 2348 – 703X

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Abstract

The ability to generate synthetic monthly rainfall characteristics is important for predicting hydrological impacts resulting from land use and climate change in the humid tropics. We present some quantile functions from two parameter distributions such as gamma, weibull and log normal to generate synthetic monthly rainfall data, which we demonstrate for the city of Pekanbaru, Riau Province of Indonesia. We use maximum likelihood to estimates the parameters of the probability density function. Synthetic rainfall will be generated 100 times using different quantile functions. Every time Synthetic Rainfall is generated, two statistical such as mean and maximum monthly rainfall will be produced and displayed in graphical form. The same statistics are also produce from the historical rainfall data, the ability of the generated synthetic rainfall graphs to capture the historical rainfall graph will show the ability of the probability density function to generate monthly synthetic rainfall. In this study, Overall, the statistics produced by synthetic rainfall using the gamma distribution can closely approximate the statistics produced by historical rainfall data when compared to the synthetic rainfall produced by the other two distributions. Keywords: Synthetics Rainfall, Quantile Function, Gamma Distribution, Weibulll Distribution, Log Normal Distribution.

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