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Multi-hazard Risk Analysis using the FP7 RASOR Platform

机译:使用FP7 RASOR平台进行多灾种风险分析

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Climate change challenges our understanding of risk by modifying hazards and their interactions. Sudden increases in population and rapid urbanization are changing exposure to risk around the globe, making impacts harder to predict. Despite the availability of operational mapping products, there is no single tool to integrate diverse data and products across hazards, update exposure data quickly and make scenario-based predictions to support both short and long-term risk-related decisions. RASOR (Rapid Analysis and Spatialization Of Risk) will develop a platform to perform multi-hazard risk analysis for the full cycle of disaster management, including targeted support to critical infrastructure monitoring and climate change impact assessment. A scenario-driven query system simulates future scenarios based on existing or assumed conditions and compares them with historical scenarios. RASOR will thus offer a single work environment that generates new risk information across hazards, across data types (satellite EO, in-situ), across user communities (global, local, climate, civil protection, insurance, etc.) and across the world. Five case study areas are considered within the project, located in Haiti, Indonesia, Netherlands, Italy and Greece. Initially available over those demonstration areas, RASOR will ultimately offer global services to support in-depth risk assessment and full-cycle risk management.
机译:气候变化通过修改危害及其相互作用来挑战我们对风险的理解。人口的突然增加和快速的城市化正在改变全球面临的风险,这使得影响难以预测。尽管有可用的操作绘图产品,但没有单一的工具可以集成跨危害的多种数据和产品,快速更新暴露数据以及基于场景进行预测以支持短期和长期风险相关决策。 RASOR(风险的快速分析和空间化)将开发一个平台,以在灾害管理的整个周期中进行多危害风险分析,包括对关键基础设施监控和气候变化影响评估的有针对性的支持。场景驱动的查询系统根据现有或假定的条件模拟未来的场景,并将其与历史场景进行比较。因此,RASOR将提供一个单一的工作环境,该工作环境将跨危害,跨数据类型(卫星EO,就地),跨用户社区(全球,本地,气候,民防,保险等)以及全球生成新的风险信息。 。该项目考虑了五个案例研究区域,分别位于海地,印度尼西亚,荷兰,意大利和希腊。 RASOR最初可在这些演示区域中使用,最终将提供全球服务以支持深入的风险评估和全周期风险管理。

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