Zakaria, Ahmad (2011) A study of periodic and stochastic modeling of monthly rainfall from Purajaya station. Asian Transactions on Engineering, 1 (3). pp. 1-7. ISSN 2221-4267

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Abstract— A study was done using monthly rainfall data with long data 25 years (1977-2001) of Purajaya station. The goal of this research is to study periodic and stochastic models of data series of the monthly cumulative rainfall. Based on daily rainfall data, monthly cumulative rainfall data series was calculated. The series of rainfall is assumed to be free of trend. Periodicities of rainfall data were presented using 125 periodic components. Stochastic series of rainfall data are assumed as residues between rainfall data with periodic rainfall model. Stochastic components were calculated using the approach of autoregressive model. Stochastic Model presented in this research is using the fourth orders autoregressive model. Validation between data and the model is done by calculating the correlation coefficient. For this study, the correlation coefficient between the data and the model of the cumulative monthly rainfall is 0.9992. From the results of this study can be inferred that the model of the monthly rainfall from Purajaya station gives highly accurate approach.

Item Type: Article
Uncontrolled Keywords: monthly cumulative rainfall, periodic and stochastic, FFT, autoregressive model.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik (FT) > Prodi Magister Teknik Sipil
Depositing User: Dr. Ahmad Zakaria
Date Deposited: 24 Mar 2023 01:31
Last Modified: 24 Mar 2023 01:31

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