Assessment of Flood Risk Analysis in Selangor

  • Abstract
  • Keywords
  • References
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  • Abstract

    Flood events occur every year especially during the monsoon season. Although its consequences are not as disastrous as other natural disasters such as earthquakes and tornado storm, but it still gives off a great deal of destruction towards social, operational and financial sectors. Recently, most of the events occurred are not happened at the common marked areas and seasons. It happened anywhere and anytime. Hence, it is not surprise that at any time, any place could be affected by flood incidents. Therefore, an analysis on flood incident is crucial in mitigating the flood risk and at the same developing the flood safety measures. This study aims to analyse the flood frequency and flood magnitude of all nine districts in Selangor. Data is gathered from the Department of Irrigation and Drainage (DID) Selangor, from 2008 to 2017. Petaling Jaya posted the highest number of flood cases at 249 cases out of 1,161 cases in Selangor throughout the period of 2008 to 2017. Poisson distribution was used to estimate the probability of flood occurrence, and the results show that Petaling Jaya has recorded the highest probability of flood occurrence with at least one event in a day. For severity analysis, Gumbel distribution was used to estimate the magnitude of flood occurrence and flood frequency through the evaluation of flood risk from the annual maximum number of rainfall data. Results indicate that Sabak Bernam recorded the biggest magnitude of severity with moderate flood as compared to other districts. It is also estimated that Sabak Bernam has the biggest magnitude of flood recurring as early as two years return period. To conclude, authorities must work vigorously towards an efficient flood risk management and effective flood safety measures. The establishments of flood forecasting and warning system are crucial in minimising the flood losses.


  • Keywords

    Flood Occurrence; Rainfall; Insurance; Poisson; Gumbel.

  • References

      [1] Norhidayah A. Kadir, Ezzah Suraya Sarudin, Fairus Hamid & Nor Diyana Ahmad Shamsuddin, “Selecting the best bank that offered Islamic personal loan package by using fuzzy preference relations (CFPR)”, AIP Conference Proceedings, Volume 1621, No 498 (2014), available online:

      [2] Haryani Haron, Sabiroh Md Sabri & Zulfadhli Naim Zolkarnain, “A situational analysis of Strategic Information System Planning in the context of a Malaysian SME”, 2013 International Conference on Research and Innovation in Information System (ICRIIS), available online:

      [3] Nordin Abu Bakar, “Managing economic and Islamic research in big data environment: From computer science perspective”, Journal of Emerging Economies and Islamic Research, Volume 6(1) (2018), pp 1-5, available online:

      [4] Noridayu Mah Hashim, S. Sarifah Radiah Shariff & Sayang Mohd Deni, “Capacitated Maximal Covering Location Allocation Problem During Flood Disaster”, Advanced Science Letters Volume 23(11) (2017), pp 11545-11548, available online:

      [5] Sayang Mohd Deni, Suhaila Jamaludin, Wan Zawiah Wan Zin &Abdul Aziz Jemain, “Tracing trends in the sequences of dry and wet days over Peninsular Malaysia”, Journal of Environmental Science and Technology, Volume 1(3) (2008), pp 97-110, available online:

      [6] Muhammad Barzani Gasim, Mohd Ekhwan Toriman & Musa G Abdullahi, “Floods in Malaysia historical reviews, causes, effects and mitigations approach”, International Journal of Interdisciplinary Research and Innovations”, Volume 2(4) (2014), pp 59-65

      [7] Baratti, E., Montanari, A., Castellarin, A., Salinas, J. L., Viglione, A., & Bezzi, “Estimating the flood frequency distribution at seasonal and annual time scales”, Hydrology and Earth System Sciences, Volume 16(12) (2012), pp 4651-4660, available online:

      [8] S. Mohd Deni, A.A. Jemain & K. Ibrahim, “The spatial distribution of wet and dry spells over Peninsular Malaysia”, Theoretical and Applied Climatology, Volume 94 (3-4) (2008), pp 163-173, available online:

      [9] Sayang Mohd Deni & Abdul Aziz Jemain, “Mixed Log Series Geometric distribution for sequences of dry days”, Atmospheric Research, Volume 92(2) (2009), pp 236-243, available online:

      [10] Bhagat, N., “Flood Frequency Analysis Using Gumbel's Distribution Method: A Case Study of Lower Mahi Basin, India” Journal of Water Resources and Ocean Science, Volume 6(4), 2017, pp 51-54, available online:

      [11] Sangita Mishra S, K. Phadtare & Solapure M, “Rainfall analysis and forecasting in Mumbai metropolitan region using Artificial Neural Network (ANN)”, International Journal of Civil and Structural Engineering, Volume 6(2) (2015), pp 129-139, available online:

      [12] Kutty, R. R., “More must be done to prevent floods”, published in The Star online on 12 January 2015, available online:




Article ID: 25988
DOI: 10.14419/ijet.v8i1.7.25988

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