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

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 princi...

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Main Authors: Che Ghani, Nor Zaimah, Abu Hasan, Zorkeflee, Tze Liang, Lau
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
TA1-2040 Engineering (General). Civil engineering (General)
Online Access:http://eprints.usm.my/38984/1/Estimation_of_Missing_Rainfall_Data_Using_GEP_Case_Study_of_Raja_River%2C_Alor_Setar%2C_Kedah.pdf
http://eprints.usm.my/38984/
http://dx.doi.org/10.1155/2014/716398
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spelling my.usm.eprints.38984 http://eprints.usm.my/38984/ Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah Che Ghani, Nor Zaimah Abu Hasan, Zorkeflee Tze Liang, Lau TA1-2040 Engineering (General). Civil engineering (General) 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. Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://eprints.usm.my/38984/1/Estimation_of_Missing_Rainfall_Data_Using_GEP_Case_Study_of_Raja_River%2C_Alor_Setar%2C_Kedah.pdf 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 http://dx.doi.org/10.1155/2014/716398
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TA1-2040 Engineering (General). Civil engineering (General)
spellingShingle TA1-2040 Engineering (General). Civil engineering (General)
Che Ghani, Nor Zaimah
Abu Hasan, Zorkeflee
Tze Liang, Lau
Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah
description 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.
format Article
author Che Ghani, Nor Zaimah
Abu Hasan, Zorkeflee
Tze Liang, Lau
author_facet Che Ghani, Nor Zaimah
Abu Hasan, Zorkeflee
Tze Liang, Lau
author_sort Che Ghani, Nor Zaimah
title Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah
title_short Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah
title_full Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah
title_fullStr Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah
title_full_unstemmed Estimation of Missing Rainfall Data Using GEP: Case Study of Raja River, Alor Setar, Kedah
title_sort estimation of missing rainfall data using gep: case study of raja river, alor setar, kedah
publisher Hindawi Publishing Corporation
publishDate 2014
url http://eprints.usm.my/38984/1/Estimation_of_Missing_Rainfall_Data_Using_GEP_Case_Study_of_Raja_River%2C_Alor_Setar%2C_Kedah.pdf
http://eprints.usm.my/38984/
http://dx.doi.org/10.1155/2014/716398
_version_ 1681490147507437568
score 13.211869

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