Rindsfüser Nele, Zischg Andreas Paul, Keiler Margreth
Oeschger Centre for Climate Change Research, Mobiliar Lab for Natural Risks, University of Bern, Bern, Switzerland.
Institute of Geography, University of Bern, Bern, Switzerland.
iScience. 2024 Aug 23;27(9):110653. doi: 10.1016/j.isci.2024.110653. eCollection 2024 Sep 20.
Land-use change, climate change, human interventions, and socio-economic developments influence the evolution of the risk components hazard, exposure, and vulnerability, and consequently of flood risk. Adaptive flood risk management is a way to cope with evolving risks, but it requires measuring the evolution of risks. To develop principles of flood risk monitoring, we systematically reviewed scientific literature on flood risk evolution analyses. The reviewed publications indicate a wide spread in increase or decrease of flood risk evolution over decades. Furthermore, the publications show a high diversity in factors and methods for flood risk evolution analysis and indicate the main challenges for developing flood risk monitoring. Flood risk monitoring needs the systematic detection of flood risk evolution by periodically (re)evaluate the factors that influence the risk components-hazard, exposure and vulnerability-modeling those risk components and combining them to quantify flood risk.
土地利用变化、气候变化、人类干预和社会经济发展会影响洪水风险的构成要素——致灾因子、暴露度和脆弱性的演变,进而影响洪水风险的演变。适应性洪水风险管理是应对不断演变的风险的一种方式,但它需要对风险的演变进行衡量。为了制定洪水风险监测原则,我们系统地回顾了关于洪水风险演变分析的科学文献。经审查的出版物表明,几十年来洪水风险演变的增加或减少情况广泛存在。此外,这些出版物在洪水风险演变分析的因素和方法方面显示出高度的多样性,并指出了开展洪水风险监测的主要挑战。洪水风险监测需要通过定期(重新)评估影响风险构成要素(致灾因子、暴露度和脆弱性)的因素、对这些风险构成要素进行建模并将它们结合起来以量化洪水风险,来系统地检测洪水风险的演变。