4.3 Article

Flood damage and risk assessment for urban area in Malaysia

Journal

HYDROLOGY RESEARCH
Volume 52, Issue 1, Pages 142-159

Publisher

IWA PUBLISHING
DOI: 10.2166/nh.2020.121

Keywords

commercial; flood damage curve; flood damage map; Malaysia; residential

Funding

  1. Ministry of Education of Malaysia (MOE) [FRGS/1/2019/TK01/UMP/02/2, RDU1901155]
  2. Universiti Malaysia Pahang (UMP) [FRGS/1/2019/TK01/UMP/02/2, RDU1901155]
  3. Universiti Teknologi Malaysia [R.J130000.7809.4F208]

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This study establishes a framework for flood damage and risk assessment in Segamat town, Malaysia, utilizing flood hazard, exposure, and vulnerability to estimate damages in different areas. The results show the most affected region by floods in 2011, aiding in identifying high flood risk properties for future mitigation efforts.
In recent years, flood risk map has been widely accepted as a tool for flood mitigation. The risk of flooding is normally illustrated in terms of its hazard (flood inundation maps), while vulnerability emphasizes the consequences of flooding. In developing countries, published studies on flood vulnerability assessment are limited, especially on flood damage. This paper attempts to establish a flood damage and risk assessment framework for Segamat town in Johor, Malaysia. A combination of flood hazard (flood characteristics), exposure (value of exposed elements), and vulnerability (flood damage function curve) were used for estimating the flood damage. The flood depth and areal extent were obtained from flood modeling and mapping using HEC-HMS/RAS and Arc GIS, respectively. Expected annual damage (EAD) for residential areas (50,112 units) and commercial areas (9,318 premises) were RM12.59 million and RM2.96 million, respectively. The flood hazard map shows that Bandar Seberang area (46,184 properties) was the most affected by the 2011 flood. The flood damage map illustrates similar patterns, with Bandar Seberang suffering the highest damage. The damage distribution maps are useful for reducing future flood damage by identifying properties with high flood risk.

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