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Flood prediction using Geographical Information System (GIS) application at Sungai Sembrong

Kaamin, Masiri and Ahmad, Nor Farah Atiqah and Mohd Razali, Siti Nooraiin and Mohamad Hilaham, Mashuda and Abdul Rahman, Mohamad and Ngadiman, Norhayati and Sahat, Suhaila (2017) Flood prediction using Geographical Information System (GIS) application at Sungai Sembrong. Journal of Telecommunication, Electronic and Computer Engineering, 9 (2-12). pp. 113-117. ISSN 21801843

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The occurrence of flood disaster in Malaysia has received much attention due to its negative impact towards society, environment and economy. In hydrological field, researchers are interested in flood prediction analysis and it is no longer a stranger in this area. The latest flood incident that hit Sg. Sembrong, Batu Pahat, Johor, Malaysia in 2007 is considered as the worst flood occurrence in Johor. This study focused on the effectiveness of using Geographical Information System (GIS) to predict flood at Sg. Sembrong. The combination of hydrological model and water balance model that takes into consideration the minimum, maximum and average temperature data for January 2007 is used to illustrate the predicted flood area for future reference. The results from the analysis showed that flood does not occur at the minimum and average rainfall, 17.2mm and 2mm respectively. However, with the maximum rainfall of 203mm, it is expected that 9983ha of land will be affected with 2m water level rise. In can be concluded that GIS is a suitable tool for the provision of preliminary information of flood, and it can be a powerful tool in aiding flood analysis, problem solving and provides rational, accurate and efficient decision making.

Item Type: Article
Uncontrolled Keywords: flood Prediction; GIS; hydrological model; water balance model
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions: Centre of Diploma Studies > Department of Civil Engineering
Depositing User: Student Praktikal UiTM
Date Deposited: 03 Jul 2018 10:08
Last Modified: 03 Jul 2018 10:08
URI: http://eprints.uthm.edu.my/id/eprint/10104
Statistic Details: View Download Statistic

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