Toward rainfall prediction model for early warning system of flood disaster in Malaysia

• Main Authors: Mohd. Zain, Noor Hayati, Ithnin, Norafida
• Format: Article
• Published: Institute of Advanced Scientific Research 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/91833/; http://dx.doi.org/10.5373/JARDCS/V12SP4/20201520

Disasters are becoming one of the most challenging situations to be faced by humanity, at which it tests our capability in handling such situation. It is impossible to stop a disaster from happening. Instead, there are ways on how to reduce the disasters? effect before, during or after a disaster has happened. Flood is a common term well known as one of the types of natural disasters that frequently hits the Malaysian region. Many researches from multiple agencies has already started working on the ways of reducing and overcoming the negative effects of disasters. The main motivation for this research was inspired out of the inefficient flood disaster prediction and warning system in Malaysia. The Drainage and Irrigation Department (DID) that generates and distributes the prediction and warning signal for the Malaysian flood disaster has been faced with numerous challenges, which arose due to the absence of reliable flood prediction model. A reliable flood prediction model will assist DID in setting the victims preparation in facing it before, during and after the disaster has happened in Malaysia. This paper focuses on flood disaster overview and some reviews based on previous literatures for developing the rainfall prediction models by enhancing the existing model in further research steps.