Flood Risk Pattern Recognition Analysis in Klang River Basin

  • Authors

    • Puteri Nor Ain Kandari
    • Ahmad Shakir Mohd Saudi
    • Pang Jyh Chyang
    • Mohd Khairul Amri Kamarudin
    • Muhammad Hafiz Md Saad
    • Azman Azid
    • Nur Surayya Mohd Saudi
    • Muaz Mahmud
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.34.23586
  • Chemometric Techniques, Correlation Analysis, Principle Component Analysis, Statistical Process Control.

  • Abstract

    This study was implemented to identify the specific factors that lead to major contribution of floods in Klang River Basin. A thirty-year (1987-2017) database obtained from Department of Irrigation and Drainage (DID), the selected data was analyzed by using integrated Chemometric techniques. The finding from Correlation Analysis revealed strong correlation between stream flow and water level is more than 0.5 (= 0.799). The finding from Principal Component Analysis proved that the selected parameters were significant with the result of R2 > 0.7was applied as a main tool for further analysis. Based on the result, it revealed that stream flow and water level were the most significant hydrological factor that influenced flood risk pattern in Klang River basin. Based on the result from Statistical Process control (SPC), the finding showed that the Upper Control Limit (UCL) for water level was 30.290m. The plotted data which is more than 30.290 m can cause flood to occur in Klang River Basin. Thus, it is very important to continuously monitor and maintain the mitigation measure of flood in the study area to avoid flood to occur. This study also helps to provide visualization of flood pattern and show the optimal rates for the maximum limit for flood control in Klang River Basin.

     

     

  • References

    1. [1] Zakaria, S. F., Zin, R. M., Mohamad, I., Balubaid, S., Mydin, S. H., & MDR, E. R. (2017). The development of flood map in Malaysia. AIP Conference Proceedings, 1903(1), 1-8.

      [2] Noorazuan, M. H. (2006). Urban hydrological changes in the Sankey Brook catchment. PhD thesis. University of Manchester.

      [3] a, N. A., Ghani, A. A., Abdullah, R., Sidek, L. M., Kassim, A. H., & Ainan, A. (2004). MSMA–A new urban stormwater management manual for Malaysia. Advances in Hydro-Science and –Engineering, 6, 1-11.

      [4] Toriman, M. E., Hashim, N., Kamarudin, M. K. A., Hassan, A. J., Gasim, M. B., Muhamad, A., & Aziz, N. A. A. (2015). Assessment of water salinity model using hydrodynamic numerical modelling in estuary of Selangor River, Malaysia. Malaysian Journal of Analytical Sciences, 19(5), 1109 – 1119.

      [5] Mohamad, S., Hashim, N. M., Aiyub, K., & Toriman, M. E. (2012). Flash flood and community's response at Sg. Lembing, Pahang. Advances in Natural and Applied Sciences, 6(1), 19-26.

      [6] Moore, D. S., Craig, B. A., & McCabe, G. P. (2012). Introduction to the practice of statistics. WH Freeman.

      [7] Altman, D. G. (1990). Practical statistics for medical research. CRC press.

      [8] Saudi, A. S. M., Ridzuan, I. S. D., Balakrishnan, A., Azid, A., Shukor, D. M. A., & Rizman, Z. I. (2017). New flood risk index in tropical area generated by using SPC technique. Journal of Fundamental and Applied Sciences, 9(4S), 828-850.

      [9] Saudi, A. S. M., Kamarudin, M. K. A., Ridzuan, I. S. D., Ishak, R., Azid, A., & Rizman, Z. I. (2017). Flood risk index pattern assessment: Case study in Langat river basin. Journal of Fundamental and Applied Sciences, 9(2S), 12-27.

      [10] Juahir, H., Zain, S. M., Yusoff, M. K., Hanidza, T. T., Armi, A. M., Toriman, M. E., & Mokhtar, M. (2011). Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques. Environmental Monitoring and Assessment, 173(1-4), 625-641.

      [11] Saudi, A. S. M., Juahir, H., Azid, A., Kamarudin, M. K. A., Kasim, M. F., Toriman, M. E., Aziz, N. A., Hasnam, C. N., & Samsudin, M. S. (2014). Flood risk pattern recognition using chemometric technique: A case study in Kuantan River Basin. Jurnal Teknologi, 72(1), 137-141.

      [12] Herman, I. (1994). Selangor: Tekno Edar–Descriptive statistical analysis.

      [13] United States Geological Survey’s Water Science School. (2016). How much water flows during a storm. https://water.usgs.gov/edu/stormflow.html.

      [14] Yoon, K. Y., Azima Bahrun, N., & Kun, Y. (2010). A study on the urban flooding

      [15] Kong, Y., & Pang, Z. (2012). Evaluating the sensitivity of glacier rivers to climate change based on hydrograph separation of discharge. Journal of Hydrology, 434, 121-129.

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  • How to Cite

    Nor Ain Kandari, P., Shakir Mohd Saudi, A., Jyh Chyang, P., Khairul Amri Kamarudin, M., Hafiz Md Saad, M., Azid, A., Surayya Mohd Saudi, N., & Mahmud, M. (2018). Flood Risk Pattern Recognition Analysis in Klang River Basin. International Journal of Engineering & Technology, 7(4.34), 86-90. https://doi.org/10.14419/ijet.v7i4.34.23586

    Received date: 2018-12-10

    Accepted date: 2018-12-10

    Published date: 2018-12-13