Predictions of water level in Dungun River Terengganu using partial least squares regression

Abstract

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.