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A Stochastic Model of Daily Rainfall for Universiti Pertanian Malaysia, Serdang.

Bardaie, Muhamad Zohadie and Abdul Salam, Ahmad Che (1981) A Stochastic Model of Daily Rainfall for Universiti Pertanian Malaysia, Serdang. Pertanika, 4 (1). pp. 1-9.

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Abstract

An application of stochastic process for describing and analysing daily the rainfall pattern at Universiti Pertanian Malaysia (V.P.M.), Serdang, is presented. A model based on the first-order Markov chain was developed. The model uses historical rainfall data to estimate the markov transition probabilities. The year is divided into four seasons, each is represented by a separate transition probability matrix. The range of rainfall values is divided into eleven states, thus resulting in a 11 X 11 transition probability matrix for each season. The model is capable of simulating a daily rainfall record of any length for the area. It is evaluated by comparing the simulation result with observed data for a one-year period.

Item Type:Article
Keyword:Stochastic model, daily rainfall, simulation
Faculty or Institute:Faculty of Engineering
ID Code:2079
Deposited By: Nur Izyan Mohd Zaki
Deposited On:10 Nov 2009 02:09
Last Modified:27 May 2013 06:58

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