Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah

Che Ghani, Nor Zaimah and Abu Hasan, Zorkeflee and Tze Liang, Lau (2014) Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah. Advances in Artificial Intelligence, 2014 (716398). pp. 1-5. ISSN 1687-7470

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Abstract

Water resources and urban flood management require hydrologic and hydraulic modeling. However, incomplete precipitation data is often the issue during hydrological modeling exercise. In this study, gene expression programming (GEP) was utilised to correlate monthly precipitation data from a principal station with its neighbouring station located in Alor Setar, Kedah, Malaysia. GEP is an extension to genetic programming (GP), and can provide simple and efficient solution. The study illustrates the applications of GEP to determine the most suitable rainfall station to replace the principal rainfall station (station 6103047).This is to ensure that a reliable rainfall station can be made if the principal station malfunctioned. These were done by comparing principal station data with each individual neighbouring station. Result of the analysis reveals that the station 38 is the most compatible to the principal station where the value of R2 is 0.886.

Item Type:	Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General)
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Awam (School of Civil Engineering) > Article Kampus Kejuruteraan (Engineering Campus) > Pusat Penyelidikan Kejuruteraan Sungai dan Saliran Bandar (REDAC) > Article Zoom Profil Pakar (Expert Profile) > Lau Tze Liang (Civil Engineering)
Depositing User:	Mr Noorazilan Noordin
Date Deposited:	19 Feb 2018 01:48
Last Modified:	13 Oct 2020 01:38
URI:	http://eprints.usm.my/id/eprint/38984

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