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Fuzzy-based gaps assessment of flood disaster risk reduction management systems in Metro Manila, Philippines

机译:菲律宾马尼拉大都会地区基于减少洪水灾害风险管理系统的模糊缺口评估

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摘要

Planning and prioritization in flood disaster risk reduction (FDRR) is critical and often tedious to both planners and decision-makers. In Metro Manila, Philippines, flooding is a perennial problem that requires regular assessments and updating of its municipal-based FDRR management systems. A simple, but practical approach may prove useful in the identification of priority schemes, especially when the need for improvement is urgent and resources are limited. This study provides a simple quantitative approach to gaps assessment for FDRR management systems using a fuzzy multiattribute decision-making technique. This is demonstrated by utilizing the stakeholders' perceptions and field information obtained during the aftermath of the tropical storm Ketsana in 2009. Study results show that the gaps can be quantified and ranked to establish the priority schemes for the improvement of the FDRR management systems in Metro Manila, focusing mainly on the following FDRR management systems: prevention, preparedness, response and disaster recovery.
机译:减少洪水灾害风险(FDRR)中的计划和优先级至关重要,对于计划制定者和决策者而言通常都是乏味的。在菲律宾马尼拉大都会,洪水是一个长期存在的问题,需要定期评估并更新其基于市政的FDRR管理系统。一种简单但实用的方法可能对确定优先级方案很有用,特别是在迫切需要改进且资源有限的情况下。这项研究使用模糊的多属性决策技术为FDRR管理系统的差距评估提供了一种简单的定量方法。利用利益相关者的看法和2009年热带风暴Ketsana灾后获得的现场信息,可以证明这一点。研究结果表明,可以对差距进行量化和排名,以建立改善地铁FDRR管理系统的优先方案。马尼拉主要集中于以下FDRR管理系统:预防,准备,响应和灾难恢复。

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