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Evapotranspiration prediction using system identification and genetic algorithm

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Main Authors: Robiah, Ahmad, Dr., Saiful Farhan, Mohd Samsuri, Mohd Zakimi, Zakaria
Other Authors: robiah@fkm.utm.my
Format: Working Paper
Language:English
Published: Acta Press 2012
Subjects:
Evapotranspiration
Modified genetic algorithm
System identification
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/22569
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spelling my.unimap-225692012-12-18T08:52:26Z Evapotranspiration prediction using system identification and genetic algorithm Robiah, Ahmad, Dr. Saiful Farhan, Mohd Samsuri Mohd Zakimi, Zakaria robiah@fkm.utm.my Evapotranspiration Modified genetic algorithm System identification Link to publisher's homepage at http://www.actapress.com/ Reference evapotranspiration or ETO is important to provide information in planning and management of water resource system for irrigation purposes. Hence, its accurate estimation is of vital importance to assess water availability and requirements. This study explores the use of system identification approach and modified genetic algorithm (MGA) to model the evapotranspiration process under climatic data. The method is applied in modelling hourly evapotranspiration in central and southern region of Malaysia as a function of solar radiation, temperature, humidity and wind speed. The performance of the model is compared with the traditional Penman-Monteith (PM) method. Results from the study indicate that both the data driven is comparable with that of the PM method. The MGA models are dominated by temperature and solar radiation indicating that these two inputs can represent most of the variance. The results also show that the models are parsimonious and understandable, and are well suited to modelling the dynamics of the evapotranspiration process. 2012-12-18T08:52:26Z 2012-12-18T08:52:26Z 2012 Working Paper p. 176-183 978-088986911-0 1025-8973 http://www.actapress.com/PaperInfo.aspx?paperId=453788 http://hdl.handle.net/123456789/22569 en Proceedings of the IASTED International Conference on Modelling, Identification, and Control, MIC Acta Press
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Evapotranspiration
Modified genetic algorithm
System identification
spellingShingle Evapotranspiration
Modified genetic algorithm
System identification
Robiah, Ahmad, Dr.
Saiful Farhan, Mohd Samsuri
Mohd Zakimi, Zakaria
Evapotranspiration prediction using system identification and genetic algorithm
description Link to publisher's homepage at http://www.actapress.com/
author2 robiah@fkm.utm.my
author_facet robiah@fkm.utm.my
Robiah, Ahmad, Dr.
Saiful Farhan, Mohd Samsuri
Mohd Zakimi, Zakaria
format Working Paper
author Robiah, Ahmad, Dr.
Saiful Farhan, Mohd Samsuri
Mohd Zakimi, Zakaria
author_sort Robiah, Ahmad, Dr.
title Evapotranspiration prediction using system identification and genetic algorithm
title_short Evapotranspiration prediction using system identification and genetic algorithm
title_full Evapotranspiration prediction using system identification and genetic algorithm
title_fullStr Evapotranspiration prediction using system identification and genetic algorithm
title_full_unstemmed Evapotranspiration prediction using system identification and genetic algorithm
title_sort evapotranspiration prediction using system identification and genetic algorithm
publisher Acta Press
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/22569
_version_ 1643793731277553664
score 13.222552

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