论文标题

在气候变化下的区域洪水风险预测

Regional Flood Risk Projections under Climate Change

论文作者

Sharma, Sanjib, Gomez, Michael, Keller, Klaus, Nicholas, Robert, Mejia, Alfonso

论文摘要

由于环境和人口变化,预计将来与洪水有关的人和财产的风险将增加。量化和有效传达洪水危害并暴露以告知洪水风险管理策略的设计和实施非常重要。在这里,我们开发了一个集成的建模框架,以评估区域河流洪水淹没风险的预计变化。该框架样品气候模型输出以迫使水文模型并生成水流投影。与统计和液压模型一起,我们使用投影的流量来绘制极端洪水事件的洪水淹没预测的不确定性。我们在美国宾夕法尼亚州实施河流的框架。我们的预测表明,宾夕法尼亚州的洪水危害和暴露总体随着未来的气候变化而增加。特定地区,包括主茎萨斯奎哈纳河,阿勒格尼盆地的下部和特拉华河盆地的中部,显示出更高的洪水淹没风险。在我们的分析中,气候不确定性主导着围绕洪水淹没投影链的总体不确定性。合并的水文和液压不确定性可以占总不确定性的37%。我们讨论该框架如何提供区域和动态的洪水风险评估,并有助于告知风险管理策略的设计。

Flood-related risks to people and property are expected to increase in the future due to environmental and demographic changes. It is important to quantify and effectively communicate flood hazards and exposure to inform the design and implementation of flood risk management strategies. Here we develop an integrated modeling framework to assess projected changes in regional riverine flood inundation risks. The framework samples climate model outputs to force a hydrologic model and generate streamflow projections. Together with a statistical and hydraulic model, we use the projected streamflow to map the uncertainty of flood inundation projections for extreme flood events. We implement the framework for rivers across the state of Pennsylvania, United States. Our projections suggest that flood hazards and exposure across Pennsylvania are overall increasing with future climate change. Specific regions, including the main stem Susquehanna River, lower portion of the Allegheny basin and central portion of Delaware River basin, demonstrate higher flood inundation risks. In our analysis, the climate uncertainty dominates the overall uncertainty surrounding the flood inundation projection chain. The combined hydrologic and hydraulic uncertainties can account for as much as 37% of the total uncertainty. We discuss how this framework can provide regional and dynamic flood-risk assessments and help to inform the design of risk-management strategies.

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