Regional Flood Risk Projections under Climate Change

Sanjib Sharma, Michael Gomez, K. Keller, R. Nicholas, A. Mejia
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引用次数: 11

Abstract

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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气候变化下的区域洪水风险预测
由于环境和人口结构的变化,预计未来与洪水有关的风险将会增加。重要的是量化和有效地沟通洪水的危害和暴露,为洪水风险管理策略的设计和实施提供信息。在这里,我们开发了一个集成的建模框架来评估区域河流洪水淹没风险的预估变化。该框架对气候模型的输出进行采样,以强制建立水文模型并生成流量预测。结合统计和水力模型,我们使用预估的流量来绘制极端洪水事件洪水淹没预估的不确定性。我们为美国宾夕法尼亚州的河流实施了这个框架。我们的预测表明,随着未来的气候变化,宾夕法尼亚州的洪水灾害和暴露程度总体上正在增加。特定区域,包括萨斯奎哈纳河的干流、阿勒格尼盆地的下游和特拉华河流域的中部,显示出更高的洪水淹没风险。在我们的分析中,气候的不确定性在洪水预估链的总体不确定性中占主导地位。水文和水力综合不确定性可占总不确定性的37%。我们将讨论该框架如何提供区域和动态洪水风险评估,并帮助为风险管理策略的设计提供信息。
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