District flood vulnerability index: urban decision-making tool
District flood vulnerability index: urban decision-making tool
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DOI：
10.1007/s13762-018-1797-5
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发表时间：
2018-07
影响因子：
3.1
通讯作者：
H. Nasiri;M. Yusof;T. A. Ali;M. K. Hussein
中科院分区：
文献类型：
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作者：
H. Nasiri;M. Yusof;T. A. Ali;M. K. Hussein
洪水脆弱性评价作为城市洪水管理的重要组成部分，国内外学者采用多种方法进行了研究。事实上，评估方法的改进与加强决策程序的必要性有关;例如，可以以最佳形式分配对城市的经济或基础设施投资。为实现这一目标，采用评估脆弱性的指数，确定更脆弱的地区，然后进行相关的比较，可能是有益的。作者提出的区域洪水脆弱性指数（DFVI）采用25个指标进行计算。然而，很明显，其中一些指标对后果没有影响。本文介绍了DFVI建设的最重要的指标选择的分析结果。这一指数适用于城市地区尺度（或：城市地区尺度）和洪水脆弱性的各个组成部分（社会、经济、环境和物理）。通过分析指标间的相关性，研究有效描述城区洪涝灾害现状所需的主要指标，建立了城区洪涝灾害评价指标体系。为此，采用德尔菲法和层次分析法分两个阶段进行专家启发。然后，将所有这些结果结合起来，以构建DFVI方程。最后，该指数在吉隆坡城市的地区实施。本文概述了城市的地区（在这种情况下吉隆坡）是最容易受到洪水灾害的系统的组成部分，即社会，物理，环境和经济。
Flood vulnerability assessment as an essential part of the urban flood management is done by various methods by several researchers. In fact, the improvement in assessment methods is related to the necessity for enhanced decision-making procedures; for instance, economic or infrastructural investments in cities can be assigned in the best form. To achieve this aim, introducing indices for evaluating vulnerability and identifying more vulnerable zones and then doing relevant comparisons can be useful. District flood vulnerability index (DFVI) developed by the author uses 25 indicators in its calculation. Nevertheless, it is obvious that some of these indicators have no effect on the consequences. This paper presents the results of the analysis for the selection of the most significant indicators of the DFVI construction. This index is appropriate for urban district scaling (or: the urban district scale) and the various components of flood vulnerability (social, economic, environmental and physical). DFVI was made by analyzing the indicators’ relevance and by studying the main indicators needed to depict reality of the urban district floods in an effective way. For this purpose, expert elicitation was done by Delphi and AHP method in two separate phases. Then, all these results were combined in order to construct DFVI equations. Finally, the index was implemented in Kuala Lumpur city’s districts. This paper outlines which district of cities (in this case Kuala Lumpur) are most vulnerable to flood hazard with regard to the system’s components, that is, social, physical, environmental and economic.