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Integrated assessment of changes in flooding probabilities due to climate change.

机译:综合评估由于气候变化而导致的泛洪概率变化。

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An approach to considering changes in flooding probability in the integrated assessment of climate change is introduced. A reduced-form hydrological model for flood prediction and a downscaling approach suitable for integrated assessment modeling are presented. Based on these components, the fraction of world population living in river basins affected by changes in flooding probability in the course of climate change is determined. This is then used as a climate impact response function in order to derive emission corridors limiting the population affected. This approach illustrates the consideration of probabilistic impacts within the framework of the tolerable windows approach. Based on the change in global mean temperature, as calculated by the simple climate models used in integrated assessment, spatially resolved changes in climatic variables are determined using pattern scaling, while natural variability in these variables is considered using twentieth century deviations from the climatology. Driven by the spatially resolved climate change, the hydrological model then aggregates these changes to river basin scale. The hydrological model is subjected to a sensitivity analysis with regard to the water balance, and the uncertainty arising through the different projections of changes in mean climate by differing climate models is considered by presenting results based on different models. The results suggest that up to 20% of world population live in river basins that might inevitably be affected by increased flood events in the course of global warming, depending on the climate model used to estimate the regional distribution of changes in climate..
机译:介绍了一种在气候变化综合评估中考虑洪水概率变化的方法。提出了一种用于洪水预报的简化形式的水文模型和适用于综合评估模型的缩减方法。基于这些因素,确定了生活在流域的人口在气候变化过程中受洪水概率变化影响的比例。然后将其用作气候影响响应函数,以得出限制受影响人口的排放通道。该方法说明了在可容忍窗口方法框架内对概率影响的考虑。根据全球平均温度的变化(通过综合评估中使用的简单气候模型计算得出),使用模式缩放确定气候变量的空间分辨变化,而使用二十世纪与气候学的偏差来考虑这些变量的自然变异性。在空间解析的气候变化的驱动下,水文模型将这些变化汇总到流域尺度。对水文模型进行了关于水平衡的敏感性分析,并通过基于不同模型的结果来考虑由不同气候模型对平均气候变化的不同预测所产生的不确定性。结果表明,取决于用于估计气候变化区域分布的气候模型,在全球变暖的过程中,多达20%的世界人口可能会不可避免地受到流域洪水事件的影响。

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