文章基本信息

标题：Flood vulnerability and risk assessment of urban traditional buildings in a heritage district of Kuala Lumpur, Malaysia
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作者：D'Ayala, Dina ; Wang, Kai ; Yan, Yuan 等
期刊名称：Natural Hazards and Earth System Sciences
电子版ISSN：2195-9269
出版年度：2020
卷号：20
期号：8
页码：2221-2241
DOI：10.5194/nhess-20-2221-2020
语种：English
出版社：Copernicus Publications
摘要：Flood hazard is increasing in frequency and magnitude in major South East Asian metropolitan areas due to fast urban development and changes inclimate, threatening people's property and life. Typically, flood management actions are mostly focused on large-scale defences, such as riverembankments or discharge channels or tunnels. However, these are difficult to implement in town centres without affecting the value of theirheritage districts and might not provide sufficient mitigation. Therefore, urban heritage buildings may become vulnerable to flood events, evenwhen they were originally designed and built with intrinsic resilient measures, based on the local knowledge of the natural environment and itsthreats at the time. Their aesthetic and cultural and economic values mean that they can represent a proportionally high contribution to losses inany event. Hence it is worth investigating more localized, tailored mitigation measures. Vulnerability assessment studies are essential to informthe feasibility and development of such strategies. In this study we propose a multilevel methodology to assess the flood vulnerability and risk ofresidential buildings in an area of Kuala Lumpur, Malaysia, characterized by traditional timber housing. The multiscale flood vulnerability modelis based on a wide range of parameters, covering building-specific parameters, neighbourhood conditions and catchment area conditions. The obtainedvulnerability index shows the ability to reflect different exposure by different building types and their relative locations. The vulnerability model iscombined with high-resolution fluvial and pluvial flood maps providing scenario events with 0.1 % annual exceedance probability (AEP). A damagefunction of generic applicability is developed to compute the economic losses at individual building and sample levels. The study provides evidencethat results obtained for a small district can be scaled up to the city level, to inform both generic and specific protection strategies.