Universiti Teknologi Malaysia Institutional Repository

Evapotranspiration prediction using system identification and genetic algorithm

Ahmad, Robiah and Mohd. Samsuri, Saiful Farhan and Zakaria, Mohd. Zakimi (2012) Evapotranspiration prediction using system identification and genetic algorithm. In: Proceedings of the 2nd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2012. ACTA Press, Calgary, Canada, pp. 176-183. ISBN 978-088986911-0

Full text not available from this repository.

Official URL: http://dx.doi.org/10.2316/P.2012.769-053

Abstract

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.

Item Type:Book Section
Additional Information:Indexed by Scopus
Uncontrolled Keywords:evapotranspiration, modified genetic algorithm, system identification
Subjects:T Technology
Divisions:Advanced Informatics School
ID Code:35769
Deposited By:INVALID USER
Deposited On:30 Oct 2013 00:28
Last Modified:06 Aug 2017 04:20

Repository Staff Only: item control page