Zakaria, Ahmad (2011) STOCHASTIC CHARACTERISTICS OF DAILY RAINFALL AT PURAJAYA REGION. ARPN Journal of Engineering and Applied Sciences, 6 (6). pp. 23-30. ISSN 1819-6608

This is the latest version of this item.

arpn - stochastic characteristic - 2011 june.pdf

Download (1MB) | Preview
Official URL:


Aim of this research is to study stochastic characteristics of daily rainfall series. The study was undertaken using 25 years (1977-2001) data of Purajaya region. The series of the daily rainfall data assumed was trend free. The periodic components of daily rainfall series were represented by using 253 harmonic expressions and stochastic components of daily rainfall series were presented using second order autoregressive parameters. Validation of generated daily rainfall series was done by comparing between generated with measured daily rainfall series. For periodic modeling, mean of the correlation coefficient between generated and measured daily rainfall series with the number of the data N is equal to 512 days for 25 years was found to be 0,9576. For periodic and stochastic modeling, mean of the correlation coefficient was found to be 0.9999. Therefore, developed periodic and stochastic model could be used for future prediction of daily rainfall time series.

Item Type: Article
Uncontrolled Keywords: autoregressive model, daily rainfall prediction, Purajaya region, fourier analysis, least squares method.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik (FT) > Prodi Teknik Sipil
Depositing User: Dr. Ahmad Zakaria
Date Deposited: 24 Mar 2023 01:31
Last Modified: 24 Mar 2023 01:31

Available Versions of this Item

Actions (login required)

View Item View Item