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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| Format: | Article |
| Language: | English |
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Hindawi Publishing Corporation
2014
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| 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 |
| _version_ | 1825833963172659200 |
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| 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 |
| collection | USM |
| 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. |
| first_indexed | 2024-03-06T15:15:36Z |
| format | Article |
| id | usm.eprints-38984 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T15:15:36Z |
| publishDate | 2014 |
| publisher | Hindawi Publishing Corporation |
| record_format | dspace |
| spelling | usm.eprints-389842020-10-13T01:38:46Z 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 |
| 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 |
| title | 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_short | 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 |
| topic | TA1-2040 Engineering (General). Civil engineering (General) |
| 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 |
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