Predictions of water level in Dungun River Terengganu using partial least squares regression
Floods are common phenomenon in the state of Dungun, specifically in Terengganu-Malaysia. Every year, floods affecting biodiversity on this region and also causing property loss of this residential area. The residen ts in Dungun always suffered from floods since the water overflows to the areas adjo...
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| Format: | Article |
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International Journals of Engineering & Sciences (IJENS)
2012
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| _version_ | 1796856832393740288 |
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| author | Ibrahim, Noraini Wibowo, Antoni |
| author_facet | Ibrahim, Noraini Wibowo, Antoni |
| author_sort | Ibrahim, Noraini |
| collection | ePrints |
| description | Floods are common phenomenon in the state of Dungun, specifically in Terengganu-Malaysia. Every year, floods affecting biodiversity on this region and also causing property loss of this residential area. The residen ts in Dungun always suffered from floods since the water overflows to the areas adjoining to the rivers, lakes or dams. The rainfall and evaporation of the area have a large influence on the water level of Dungun River. Therefore, a suitable predic tion model is needed to forecast the water level in Dungun River by adopting the ordinary linear regression (OLR) and partial least squares regression (PLSR) based on hydrological data. However, we need to perform cleansing data of the hydrological data since the original data contain inconsistent data. Based on the experiment, it shows that PLSR is more suitable model rather than OLR and the use of the cleansing data gives higher accuracy than the original data. |
| first_indexed | 2024-03-05T18:48:57Z |
| format | Article |
| id | utm.eprints-31156 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:48:57Z |
| publishDate | 2012 |
| publisher | International Journals of Engineering & Sciences (IJENS) |
| record_format | dspace |
| spelling | utm.eprints-311562019-01-31T11:30:17Z http://eprints.utm.my/31156/ Predictions of water level in Dungun River Terengganu using partial least squares regression Ibrahim, Noraini Wibowo, Antoni QA75 Electronic computers. Computer science Floods are common phenomenon in the state of Dungun, specifically in Terengganu-Malaysia. Every year, floods affecting biodiversity on this region and also causing property loss of this residential area. The residen ts in Dungun always suffered from floods since the water overflows to the areas adjoining to the rivers, lakes or dams. The rainfall and evaporation of the area have a large influence on the water level of Dungun River. Therefore, a suitable predic tion model is needed to forecast the water level in Dungun River by adopting the ordinary linear regression (OLR) and partial least squares regression (PLSR) based on hydrological data. However, we need to perform cleansing data of the hydrological data since the original data contain inconsistent data. Based on the experiment, it shows that PLSR is more suitable model rather than OLR and the use of the cleansing data gives higher accuracy than the original data. International Journals of Engineering & Sciences (IJENS) 2012-04 Article PeerReviewed Ibrahim, Noraini and Wibowo, Antoni (2012) Predictions of water level in Dungun River Terengganu using partial least squares regression. International Journal of Basic & Applied Sciences, 12 (2). pp. 1-7. ISSN 2227-5053 http://www.ijens.org/Vol_12_I_02/124702-8383-IJBAS-IJENS.pdf |
| spellingShingle | QA75 Electronic computers. Computer science Ibrahim, Noraini Wibowo, Antoni Predictions of water level in Dungun River Terengganu using partial least squares regression |
| title | Predictions of water level in Dungun River Terengganu using partial least squares regression |
| title_full | Predictions of water level in Dungun River Terengganu using partial least squares regression |
| title_fullStr | Predictions of water level in Dungun River Terengganu using partial least squares regression |
| title_full_unstemmed | Predictions of water level in Dungun River Terengganu using partial least squares regression |
| title_short | Predictions of water level in Dungun River Terengganu using partial least squares regression |
| title_sort | predictions of water level in dungun river terengganu using partial least squares regression |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT ibrahimnoraini predictionsofwaterlevelindungunriverterengganuusingpartialleastsquaresregression AT wibowoantoni predictionsofwaterlevelindungunriverterengganuusingpartialleastsquaresregression |