Munz Lukas, Mosimann Markus, Kauzlaric Martina, Martius Olivia, Zischg Andreas Paul
Mobilar Lab for Natural Risks, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland; Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Hochschulstrasse 4, 3012 Bern, Switzerland.
Sci Total Environ. 2024 Dec 20;957:177791. doi: 10.1016/j.scitotenv.2024.177791. Epub 2024 Dec 3.
Exploring the impacts of extreme weather events has gained increased attention in recent years after repeated record-breaking events, such as unprecedented river flood events in central Europe in summer 2021. After the flood event, risk management institutions, such as for example, fire brigades, civil protection units, or natural hazard experts asked if it was possible to predict the impacts of such an unprecedented event ex-ante and if similar events could occur elsewhere or if climatic changes can even worsen extreme flood events. Here, we present an approach to explore storylines of physically plausible extreme river flood events in a warming climate. The simulated flood events are based on extreme precipitation events selected from re-forecast archives. River discharge, flood processes, and their impacts on people and infrastructure are simulated for nine storylines under five global warming levels for the alpine and pre-alpine headwater catchments of the main rivers in northern Switzerland. The precipitation intensity was increased linearly with global warming according to the Clausius-Clapeyron relation. The coupled hydrological-hydraulic simulations show that the increase in peak discharge is higher than the increase in precipitation. The flood impacts increase non-linearly with higher global warming levels. The results show that record-breaking, high-impact river floods are possible under the current atmospheric conditions, and climate change substantially aggravates flood impacts. The simulations show a broad range of potential outcomes of flood impact storylines depending on the simulated scenario and local conditions. This leads to the conclusion that storylines of extreme flood events are a valuable tool to explore, describe, and communicate extreme events. Still, the inherent challenge is the communication of the representativeness of a particular storyline and, hence, the practical consequences that should or should not be derived. We, therefore, suggest considering storylines of events with a range of magnitudes and different spatiotemporal precipitation patterns to comprehend the possible range of outcomes and select appropriate storylines out of the set for risk communication.
近年来,在诸如2021年夏季中欧发生的前所未有的河流洪水事件等屡破纪录的事件之后,探索极端天气事件的影响受到了越来越多的关注。洪水事件发生后,风险管理机构,如消防队、民防单位或自然灾害专家,询问是否有可能事前预测此类前所未有的事件的影响,以及类似事件是否可能在其他地方发生,或者气候变化是否会使极端洪水事件恶化。在此,我们提出一种方法,以探索在气候变暖情况下物理上合理的极端河流洪水事件的情景。模拟的洪水事件基于从再预测档案中选取的极端降水事件。针对瑞士北部主要河流的高山和前高山源头集水区,在五个全球变暖水平下,对九条情景模拟了河流流量、洪水过程及其对人员和基础设施的影响。根据克劳修斯 - 克拉佩龙关系,降水强度随全球变暖呈线性增加。水文 - 水力耦合模拟表明,洪峰流量的增加高于降水量的增加。洪水影响随着全球变暖水平的升高而非线性增加。结果表明,在当前大气条件下可能发生破纪录的、高影响的河流洪水,并且气候变化会显著加剧洪水影响。模拟显示,根据模拟情景和当地条件,洪水影响情景有广泛的潜在结果。这得出结论,极端洪水事件情景是探索、描述和传达极端事件的宝贵工具。然而,内在的挑战是特定情景代表性的传达,以及因此应或不应得出的实际后果。因此,我们建议考虑一系列规模和不同时空降水模式的事件情景,以理解可能的结果范围,并从集合中选择合适的情景进行风险沟通。