Citation
Lee, Teang Shui and Haque, Md. Aminul
(2004)
Stochastic Rainfall Model for Irrigation Projects.
Pertanika Journal of Science & Technology, 12 (1).
pp. 137-147.
ISSN 0128-7680
Abstract
Stochastic rainfall models are concerned with the time of occurrence and
depth of rainfall. Various rainfall models have been using different time scales.
Daily rainfall models have gained wide applicability as being appropriate for
use in detailed water balance and agricultural and environmental models. In
this study a stochastic daily rainfall generation model was adapted for the Besut
Irrigation Scheme located in Terengganu, Malaysia. The model simulates the
sequence of rainfall occurrence using the method of transitional probability
matrices, while daily rainfall amount was generated using a skewed normal
distribution. Rainfall data from six meteorological stations located at the Besut
Irrigation Scheme were used for this model. The model parameters were
estimated from historical rainfall records. The model validation was then
performed with a separate set of data. Results obtained showed that the model
could be used to generate rainfall data satisfactorily.
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Additional Metadata
Item Type: |
Article
|
Publisher: |
Universiti Putra Malaysia Press |
Keywords: |
Stochastic model, rainfall occurrence, rainfall generation, transitional
probability |
Depositing User: |
Nur Izyan Mohd Zaki
|
Date Deposited: |
01 Dec 2009 02:03 |
Last Modified: |
27 May 2013 07:10 |
URI: |
http://psasir.upm.edu.my/id/eprint/3697 |
Statistic Details: |
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