Universiti Teknologi Malaysia Institutional Repository

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

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

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Official URL: http://www.ijest.info/docs/IJEST12-04-04-280.pdf

Abstract

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.

Item Type:Article
Uncontrolled Keywords:time series, ARIMA, SARIMA, neural network, Dungun River, Terengganu, water level, rainfall, flooding
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:30461
Deposited By: Yanti Mohd Shah
Deposited On:23 Apr 2013 02:21
Last Modified:23 Jul 2019 09:01

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