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Time series methods for water level forecasting of Dungun River in Terengganu Malaysia

Due to climate change and global warming, the possibility of floods may increase to occur in Malaysia. Water level forecasting is an important for the water catchment management in particular for flood warning systems. The aim of this study is to predict water level with input variables monthly rain...

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Main Authors: Arbain, Siti Hajar, Wibowo, Antoni
Format: Article
Published: IJEST Publications 2012
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/30461/
http://www.ijest.info/docs/IJEST12-04-04-280.pdf
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spelling my.utm.304612019-07-23T09:01:26Z http://eprints.utm.my/id/eprint/30461/ Time series methods for water level forecasting of Dungun River in Terengganu Malaysia Arbain, Siti Hajar Wibowo, Antoni QA75 Electronic computers. Computer science Due to climate change and global warming, the possibility of floods may increase to occur in Malaysia. Water level forecasting is an important for the water catchment management in particular for flood warning systems. The aim of this study is to predict water level with input variables monthly rainfall and rate of evaporation taken from the same catchment at Dungun River, Terengganu-Malaysia, using ARIMA and Artificial Neural Network (ANN). The process of pre-processing data has been made to the original rainfall data since they contain imperfect characteristics data. Our experiments show that the ANN with cleansing rainfall data gives better performance than ARIMA and ANN without cleansing data. IJEST Publications 2012-04 Article PeerReviewed Arbain, Siti Hajar and Wibowo, Antoni (2012) Time series methods for water level forecasting of Dungun River in Terengganu Malaysia. International Journal of Engineering Science and Technology, 4 (4). pp. 1803-1811. ISSN 0975-5462 http://www.ijest.info/docs/IJEST12-04-04-280.pdf
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Arbain, Siti Hajar
Wibowo, Antoni
Time series methods for water level forecasting of Dungun River in Terengganu Malaysia
description Due to climate change and global warming, the possibility of floods may increase to occur in Malaysia. Water level forecasting is an important for the water catchment management in particular for flood warning systems. The aim of this study is to predict water level with input variables monthly rainfall and rate of evaporation taken from the same catchment at Dungun River, Terengganu-Malaysia, using ARIMA and Artificial Neural Network (ANN). The process of pre-processing data has been made to the original rainfall data since they contain imperfect characteristics data. Our experiments show that the ANN with cleansing rainfall data gives better performance than ARIMA and ANN without cleansing data.
format Article
author Arbain, Siti Hajar
Wibowo, Antoni
author_facet Arbain, Siti Hajar
Wibowo, Antoni
author_sort Arbain, Siti Hajar
title Time series methods for water level forecasting of Dungun River in Terengganu Malaysia
title_short Time series methods for water level forecasting of Dungun River in Terengganu Malaysia
title_full Time series methods for water level forecasting of Dungun River in Terengganu Malaysia
title_fullStr Time series methods for water level forecasting of Dungun River in Terengganu Malaysia
title_full_unstemmed Time series methods for water level forecasting of Dungun River in Terengganu Malaysia
title_sort time series methods for water level forecasting of dungun river in terengganu malaysia
publisher IJEST Publications
publishDate 2012
url http://eprints.utm.my/id/eprint/30461/
http://www.ijest.info/docs/IJEST12-04-04-280.pdf
_version_ 1643648562510168064
score 13.250246

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