Flood Risk Pattern Recognition Using Chemometric Technique: A Case Study in Muda River Basin


This study constructs downscaling statistical model in analyzing the hydrological modeling in the study area which faces the risk of flood occurrence as the impact of climate change. The combination of chemometric method and time series analysis in this study show that even during the monsoon season, rainfall and stream flow are not the major contribution towards the changing of water level in the study area. Based on Correlation Test, it shows that suspended solid and water level show high correlation with p-value < 0.05. Factor Analysis being carried out to determine the major contribution to the changes of Water Level and the result show that Suspended Solid shows a strong factor pattern with value 0.829. Based on Control Chat Builder for time series analysis, the Upper Control Limit for water level and suspended solid are 7.529 m and 1947.049 tons/day and the Lower Control Limit are 6.678 m and 178.135 tons/day. This shows that human development in the area gives high impact towards climate change and risk of flood in the study area which commonly faces flood during monsoon season.

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Mohd Saudi, A. , Juahir, H. , Azid, A. , Amri Kamarudin, M. , Toriman, M. and Abdul Aziz, N. (2014) Flood Risk Pattern Recognition Using Chemometric Technique: A Case Study in Muda River Basin. Computational Water, Energy, and Environmental Engineering, 3, 102-110. doi: 10.4236/cweee.2014.33011.

Conflicts of Interest

The authors declare no conflicts of interest.


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