危害
气候变化
事件(粒子物理)
风险评估
透视图(图形)
风险分析(工程)
环境资源管理
桥(图论)
环境科学
计算机科学
业务
生态学
计算机安全
人工智能
量子力学
医学
生物
物理
内科学
作者
Jakob Zscheischler,Seth Westra,Bart van den Hurk,Sonia I. Seneviratne,Philip J. Ward,A. J. Pitman,Amir AghaKouchak,David N. Bresch,Michael Leonard,Thomas Wahl,Xuebin Zhang
标识
DOI:10.1038/s41558-018-0156-3
摘要
Floods, wildfires, heatwaves and droughts often result from a combination of interacting physical processes across multiple spatial and temporal scales. The combination of processes (climate drivers and hazards) leading to a significant impact is referred to as a ‘compound event’. Traditional risk assessment methods typically only consider one driver and/or hazard at a time, potentially leading to underestimation of risk, as the processes that cause extreme events often interact and are spatially and/or temporally dependent. Here we show how a better understanding of compound events may improve projections of potential high-impact events, and can provide a bridge between climate scientists, engineers, social scientists, impact modellers and decision-makers, who need to work closely together to understand these complex events. Compound events, events of significant impact that are caused by a combination of processes, are difficult to predict. This Perspective discusses the need for a systematic approach to improve risk assessment of these events.
科研通智能强力驱动
Strongly Powered by AbleSci AI