编制全球多重危险事件集的新方法
Judith N Claassen1, Philip J Ward2,3, James Daniell4,5
1Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. j.n.claassen@vu.nl.
Scientific reports
|August 23, 2023
概括
一种新的开放访问方法,MYRIAD-Hazard事件集算法 (MYRIAD-HESA),可以创建多危险事件集. 该算法分析了危险频率和热点,并结合了连续事件的时间延迟.
科学领域:
- 灾害风险科学 科学 灾害风险科学
- 地质科学 地质科学
- 环境科学 环境科学
背景情况:
- 多重危害研究的规模和范围有限.
- 以前的研究通常集中在局部规模或特定的危险对,如干旱和热浪.
- 需要一个全面的方法来分析不同的,同时发生的危险.
研究的目的:
- 介绍MYRIAD-Hazard事件集算法 (MYRIAD-HESA),用于编译基于历史的多危险事件集.
- 开发一个2004-2017年多重危险事件的全球数据库,包括11种不同的危险.
- 结合时间维度 (时间延迟) 来识别连续影响的危险事件.
主要方法:
- 开发了MYRIAD-Hazard事件集算法 (MYRIAD-HESA),这是一个开放的方法.
- 编制了一个全球多危险事件数据库,包括气象,地质,水文和气候危险.
- 集成了一个时间滞后分析,以评估紧随其后发生的危险的影响,以北美为案例研究.
主要成果:
- 创建了一个全球多种危险事件集数据库 (2004-2017年),包含11种危险类型.
- 提供了对多重危险事件频率和空间分布 (热点) 的新科学见解.
- 证明了时间滞后分析的有用性,用于识别具有影响力的连续危险.
结论:
- MYRIAD-HESA提供了一个灵活的,开放式访问工具,用于多种危险和多种风险评估.
- 开发的全球数据库和方法提高了对复杂灾害场景的理解.
- 开源性质有利于与更高分辨率的数据进行集成,以进行有针对性的风险分析.
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