Zakaria, Ahmad
(2008)
THE GENERATION OF SYNTHETIC SEQUENCES OF MONTHLY
CUMULATIVE RAINFALLS USING FFT AND LEAST SQUARES METHOD.
In: Seminar Hasil Penelitian & Pengabdian Kepada Masyarakat, September 2008, Universitas Lampung.
Abstract
Commonly rainfall models are used by engineers and hydrologists for the civil engineering
planning, infrastructure planning, determination of drainage coefficients for catchments area
and determination of maximum discharge. The objective of this research is to generate the
synthetic sequences of rainfall using Fourier transform and least squares method. The rainfall
time series is assumed representing as an accumulation of trend, periodic and stochastic as its
components. In this analysis, The Fast Fourier Transform (FFT) is used generate spectrum of
rainfall time series. From the spectrum, frequency components of the periodicity of the rainfall
involved trend, periodic and stochastic components are derived. The rainfall time series involved
trend, periodic and stochastic is assumed as Fourier series. The least squares method is used to
predict the components of the rainfall time series. The calculated results of synthetic sequences
of the rainfall using Tukey-Coley and Matlab periodograms are compared with observed rainfall
time series. The calculated rainfall time series results present the good agreement if compared
with observed rainfall time series results.
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THE GENERATION OF SYNTHETIC SEQUENCES OF MONTHLY
CUMULATIVE RAINFALLS USING FFT AND LEAST SQUARES METHOD. (deposited 30 Sep 2016 01:24)
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