Stochastic Rainfall Model for Irrigation Projects

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...

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Main Authors: Lee, Teang Shui, Haque, Md. Aminul
Format: Article
Language:English
English
Published: Universiti Putra Malaysia Press 2004
Online Access:http://psasir.upm.edu.my/id/eprint/3697/1/Stochastic_Rainfall_Model_for_Irrigation_Projects.pdf
http://psasir.upm.edu.my/id/eprint/3697/
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spelling my.upm.eprints.36972013-05-27T07:10:31Z http://psasir.upm.edu.my/id/eprint/3697/ Stochastic Rainfall Model for Irrigation Projects Lee, Teang Shui Haque, Md. Aminul 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. Universiti Putra Malaysia Press 2004 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3697/1/Stochastic_Rainfall_Model_for_Irrigation_Projects.pdf 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 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description 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.
format Article
author Lee, Teang Shui
Haque, Md. Aminul
spellingShingle Lee, Teang Shui
Haque, Md. Aminul
Stochastic Rainfall Model for Irrigation Projects
author_facet Lee, Teang Shui
Haque, Md. Aminul
author_sort Lee, Teang Shui
title Stochastic Rainfall Model for Irrigation Projects
title_short Stochastic Rainfall Model for Irrigation Projects
title_full Stochastic Rainfall Model for Irrigation Projects
title_fullStr Stochastic Rainfall Model for Irrigation Projects
title_full_unstemmed Stochastic Rainfall Model for Irrigation Projects
title_sort stochastic rainfall model for irrigation projects
publisher Universiti Putra Malaysia Press
publishDate 2004
url http://psasir.upm.edu.my/id/eprint/3697/1/Stochastic_Rainfall_Model_for_Irrigation_Projects.pdf
http://psasir.upm.edu.my/id/eprint/3697/
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score 13.211869