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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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-22569
record_format	dspace
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

Evapotranspiration prediction using system identification and genetic algorithm

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