基于风险的综合预警系统,提高社区抗灾能力

IF 2.6 Q3 ENVIRONMENTAL SCIENCES
Anisul Haque, Shampa, Marin Akter, Md. Manjurul Hussain, Md. Rayhanur Rahman, Mashfiqus Salehin, Munsur Rahman
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引用次数: 0

摘要

将预警系统(EWS)与减少灾害风险(DRR)相结合的必要性早已在多个全球论坛上得到认可。2006 年,联合国国际减灾战略(UNISDR)提出了基于风险的综合预警系统(IR-EWS),将四个要素整合在一起:(1) 监测和预警服务;(2) 风险知识;(3) 传播和交流;(4) 应对能力。联合国国际减灾战略的建议提出近二十年后,我们的研究发现,在使 IR-EWS 投入运行方面仍存在差距。我们的研究还发现,将抗灾能力与预警系统结合起来作为减少灾害风险的一部分(符合可持续发展目标 13)的工作尚未启动。在此背景下,我们在本研究中开发了洪水预警系统(IR-EWS),称为 "动态洪水风险模型"(DFRM),其中包括:(1)基于风险的简单预警数字,易于社区理解和传播,将风险视为抗灾能力的代表;(2)与社区资本相关的基于资本的行动计划,以降低灾害风险,提高社区抗灾能力。孟加拉国在两个洪水多发区应用了 DFRM 模型,发现该模型能够为社区所接受,且准确度较高。该模型是为通用 IR-EWS 定制的洪水模型。这项研究可被视为下一代 IR-EWS 的首次尝试,在 IR-EWS 中,风险由简单的警告数字表示,预警系统(作为减灾的一部分)可用于提高抗灾能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An integrated risk-based early warning system to increase community resilience against disaster

An integrated risk-based early warning system to increase community resilience against disaster

The need to integrate Early Warning System (EWS) with Disaster Risk Reduction (DRR) has long been recognized in several global forums. In the year 2006, the United Nations International Strategy for Disaster Reduction (UNISDR) proposed an Integrated Risk-based EWS (IR-EWS) by integrating four elements: (1) Monitoring and warning service; (2) Risk knowledge; (3) Dissemination and communication; and (4) Response capability. Nearly after two decades of the UNISDR proposal, our study finds that there are still gaps in making IR-EWS operational. Our study also finds that works on conceptualizing integration of resilience against disaster with EWS as part of DRR (in line with SDG-13) has not yet been started. Against this backdrop, in this study we developed an IR-EWS for flood termed as Dynamic Flood Risk Model (DFRM) which contains: (1) simple risk-based warning numbers which are easily understandable and communicable to the community, with risk considered as a proxy for resilience; and (2) capital-based action plans in relation to community capital to reduce disaster risk and increase community resilience against disaster. The DFRM is applied in two flood-prone districts in Bangladesh and found to be acceptable to the community with reasonable accuracy. The model is the customized version of flood for generic IR-EWS. This study can be considered as the first attempt of the next generation IR-EWS where risk is represented by simple warning numbers and where EWS (as part of DRR) can be applied to increase the resilience.

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来源期刊
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
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