A major challenge in flood mapping using multi‐criteria decision analysis (MCDA) is the selection of the flood risk factors and the estimation of their relative importance. A novel MCDA method through the integration of two state‐of‐the‐art MCDA methods based on catastrophe and entropy theory is proposed for mapping flood risk in the Peninsular Malaysia, an area very susceptible to flooding events, is presented. A literature review was undertaken which identified the various socioeconomic, physical and environmental factors which can influence flood vulnerability and risk. A set of variables was selected using an importance index which was developed based on a questionnaire survey. Population density, percentage of vulnerable people, household income, local economy, percentage of foreign nationals, elevation and forest cover were all deemed highly relevant in mapping flood risk and determining the zones of maximum vulnerability. Spatial integration of factors using the proposed MCDA revealed that coastal regions are highly vulnerable to floods when compared to inland locations. Flood risk maps indicate that the northeastern coastal region of Malaysia is at greatest risk of flooding. The prediction capability of the integrated method was found to be 0.93, which suggests good accuracy of the proposed method in flood risk mapping.

中文翻译：

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突变和熵理论的融合，用于马来西亚半岛的洪水风险制图

使用多标准决策分析（MCDA）进行洪水制图的一个主要挑战是洪水风险因素的选择和其相对重要性的估计。通过将两种基于巨灾和熵理论的最先进的MCDA方法相结合，提出了一种新颖的MCDA方法，用于绘制马来西亚半岛（一个极易发生洪灾事件的地区）的洪水风险图。进行了文献综述，确定了可能影响洪水脆弱性和风险的各种社会经济，自然和环境因素。使用基于问卷调查开发的重要性指数选择了一组变量。人口密度，弱势群体的百分比，家庭收入，当地经济，外国公民的百分比，高程和森林覆盖都被认为与绘制洪水风险和确定最大脆弱性区域高度相关。使用拟议的MCDA对因素进行空间整合后发现，与内陆地区相比，沿海地区极易遭受洪灾。洪水风险图表明，马来西亚东北沿海地区遭受洪水的风险最大。该综合方法的预测能力为0.93，表明该方法在洪水风险制图中具有良好的准确性。洪水风险图表明，马来西亚东北沿海地区遭受洪水的风险最大。该综合方法的预测能力为0.93，表明该方法在洪水风险制图中具有良好的准确性。洪水风险图表明，马来西亚东北沿海地区遭受洪水的风险最大。该综合方法的预测能力为0.93，表明该方法在洪水风险制图中具有良好的准确性。