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First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble

机译:首先看一下部门间影响模型比对项目合集中的洪水灾害变化

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摘要

Climate change due to anthropogenic greenhouse gas emissions is expected to increase the frequency and intensity of precipitation events, which is likely to affect the probability of flooding into the future. In this paper we use river flow simulations from nine global hydrology and land surface models to explore uncertainties in the potential impacts of climate change on flood hazard at global scale. As an indicator of flood hazard we looked at changes in the 30-y return level of 5-d average peak flows under representative concentration pathway RCP8.5 at the end of this century. Not everywhere does climate change result in an increase in flood hazard: decreases in the magnitude and frequency of the 30-y return level of river flow occur at roughly one-third (20–45%) of the global land grid points, particularly in areas where the hydrograph is dominated by the snowmelt flood peak in spring. In most model experiments, however, an increase in flooding frequency was found in more than half of the grid points. The current 30-y flood peak is projected to occur in more than 1 in 5 y across 5–30% of land grid points. The large-scale patterns of change are remarkably consistent among impact models and even the driving climate models, but at local scale and in individual river basins there can be disagreement even on the sign of change, indicating large modeling uncertainty which needs to be taken into account in local adaptation studies.
机译:人为温室气体排放引起的气候变化预计将增加降水事件的频率和强度,这很可能影响未来洪水的可能性。在本文中,我们使用来自九个全球水文学和陆地表面模型的河流流量模拟来探索全球范围内气候变化对洪水灾害的潜在影响的不确定性。作为洪水灾害的指标,我们研究了本世纪末在代表性浓度路径RCP8.5下5 d平均峰值流量的30年回报水平的变化。并非每个地方的气候变化都会导致洪水灾害的增加:在全球陆地网格点的大约三分之一(20-45%)处,河流30年回流水平的大小和频率降低,特别是在在春季,积水区以融雪洪峰为主。但是,在大多数模型实验中,超过一半的网格点都发现了泛洪频率的增加。预计当前的30年洪峰将在5年中的五分之一以上发生在5-30%的陆地网格点上。影响模型甚至驱动气候模型之间的大规模变化模式都非常一致,但是在局部尺度上以及在单个流域中,即使在变化的迹象上也可能存在分歧,这表明需要考虑较大的模型不确定性在当地适应研究中占一席之地。

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