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Real Time Flood Prediction for Sungai Isap Residence Using Support Vector Machine

Khoo, Chun Keong and Mahfuzah, Mustafa and Ahmad Johari, Mohamad and M. H., Sulaiman (2015) Real Time Flood Prediction for Sungai Isap Residence Using Support Vector Machine. In: Technology & Applications for Disaster Management International Conference 2015 - Conference Proceeding Book, 27-28 October 2015 , Kuala Lumpur. pp. 26-29.. ISBN 978-983-41773-5-5

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Abstract

A flood is an extremely dangerous disaster that can wipe away an entire city, coastline, and rural area. The flood caused extensive damage to life and property that has great erosive power and can be extremely destructive. This research explores the use of Support Vector Machine (SVM) method to predict the flood in 2015. Total investigated 29 months data covering from January 2013 until May 2015 in the Sungai Isap Kuantan, Pahang, Malaysia. Rainfall, temperature and river level are considered as a factor of flood. From the experimental, it can be concluded the SVM technique is an efficient flood prediction. The proposed of SVM prediction models is for implemented in real-time flood warning system to let the residence to take action immediately.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: extremely dangerous disaster; flood; extensive damage; extremely destructive; SVM
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 02 Mar 2017 03:26
Last Modified: 11 Apr 2018 01:27
URI: http://umpir.ump.edu.my/id/eprint/16895
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