Micro-scale Flood Damage and Risk Assessments: A Case Study in Kelantan, Malaysia
Water Management and Sustainability in Asia
ISBN: 978-1-80071-115-0, eISBN: 978-1-80071-114-3
Publication date: 12 July 2021
In effort to understand and reduce flood consequences more effectively and strategically, flood risk assessment has been a cornerstone of a long-term flood management. One component of flood risk assessment is the estimation of a range of possible damage to an area exposed to flooding, that is, the vulnerability curve. The vulnerability curve can be depicted by a stage–damage relationship. This study attempts to investigate how vulnerability to flooding can be quantitatively assessed using a micro-scale approach in Malaysia’s vulnerable areas. A residential area in Kota Bharu was chosen as the case study area. Depth–damage relationships from a multiple regression function of Department of Irrigation and Drainage Malaysia and spatial variability of residential buildings were used for the micro-scale assessment. Final estimates of expected annual damage were then calculated for each building type at 1-, 3- and 5-day flood durations. Results show that the methodology adopted is feasible to be applied for local-scale assessment flood risk assessment in Malaysia. The results also suggest that applying the methodology is possible when given wider availability of resources and information. This is particularly important for a robust end-to-end flood risk assessment for long-term effective flood management in Malaysia.
The authors would like to express gratitude for the financial support provided by Universiti Putra Malaysia under the IPM grant scheme VOT no. 9526700.
Rehan, B.M. and Zakaria, F. (2021), "Micro-scale Flood Damage and Risk Assessments: A Case Study in Kelantan, Malaysia", Alias, N.E., Haniffah, M.R.M. and Harun, S. (Ed.) Water Management and Sustainability in Asia (Community, Environment and Disaster Risk Management, Vol. 23), Emerald Publishing Limited, Bingley, pp. 13-23. https://doi.org/10.1108/S2040-726220210000023008
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