Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Department of Geography and Environment, Jagannath University, Dhaka 1100, Bangladesh.
Sensors (Basel). 2019 Mar 15;19(6):1302. doi: 10.3390/s19061302.
Floods are common natural disasters worldwide, frequently causing loss of lives and huge economic and environmental damages. A spatial vulnerability mapping approach incorporating multi-criteria at the local scale is essential for deriving detailed vulnerability information for supporting flood mitigation strategies. This study developed a spatial multi-criteria-integrated approach of flood vulnerability mapping by using geospatial techniques at the local scale. The developed approach was applied on Kalapara Upazila in Bangladesh. This study incorporated 16 relevant criteria under three vulnerability components: physical vulnerability, social vulnerability and coping capacity. Criteria were converted into spatial layers, weighted and standardised to support the analytic hierarchy process. Individual vulnerability component maps were created using a weighted overlay technique, and then final vulnerability maps were produced from them. The spatial extents and levels of vulnerability were successfully identified from the produced maps. Results showed that the areas located within the eastern and south-western portions of the study area are highly vulnerable to floods due to low elevation, closeness to the active channel and more social components than other parts. However, with the integrated coping capacity, western and south-western parts are highly vulnerable because the eastern part demonstrated particularly high coping capacity compared with other parts. The approach provided was validated by qualitative judgement acquired from the field. The findings suggested the capability of this approach to assess the spatial vulnerability of flood effects in flood-affected areas for developing effective mitigation plans and strategies.
洪水是全球常见的自然灾害,经常造成生命损失和巨大的经济和环境破坏。在当地范围内采用包含多准则的空间脆弱性绘图方法对于获取详细的脆弱性信息以支持洪水缓解策略至关重要。本研究通过在当地范围内使用地理空间技术开发了一种洪水脆弱性空间多准则综合绘图方法。所开发的方法应用于孟加拉国的 Kalapara 乌帕齐拉。本研究在三个脆弱性组成部分下纳入了 16 个相关标准:物理脆弱性、社会脆弱性和应对能力。标准被转换为空间层,进行加权和标准化以支持层次分析法。使用加权叠加技术创建个别脆弱性组件图,然后从它们生成最终的脆弱性图。从生成的地图中成功确定了脆弱性的空间范围和级别。结果表明,由于海拔较低、靠近活动河道以及比其他地区拥有更多的社会组成部分,研究区域的东部和西南部地区极易受到洪水的影响。然而,通过综合应对能力,西部和西南部地区也非常脆弱,因为与其他地区相比,东部地区表现出特别高的应对能力。该方法通过从实地获得的定性判断进行了验证。研究结果表明,该方法能够评估受洪水影响地区洪水影响的空间脆弱性,以制定有效的缓解计划和策略。