Met Office Hadley Centre, Exeter EX1 3PB, United Kingdom.
Proc Natl Acad Sci U S A. 2014 Mar 4;111(9):3257-61. doi: 10.1073/pnas.1302078110. Epub 2013 Dec 16.
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.
由于人为温室气体排放导致的气候变化预计将增加降水事件的频率和强度,这可能会影响未来洪水发生的概率。在本文中,我们使用来自九个全球水文和陆面模型的河川流量模拟来探索气候变化对全球洪水灾害潜在影响的不确定性。我们将 30 年重现期的 5 天平均峰值流量变化作为洪水灾害的指标,研究在本世纪末代表性浓度路径 RCP8.5 下的变化情况。并非所有气候变化都会导致洪水灾害增加:在全球陆地网格点的大约三分之一(20-45%)的地区,河川流量的 30 年重现期的幅度和频率都有所下降,特别是在以春季融雪洪水峰值为主的地区。然而,在大多数模型实验中,发现洪水频率增加的地区超过了一半。在 5-30%的陆地网格点上,预计当前的 30 年洪水峰值将在超过 1/5 的年份出现。变化的大尺度模式在影响模型甚至驱动气候模型之间非常一致,但在局部尺度和个别河流流域,即使在变化的符号上也可能存在分歧,这表明存在大量建模不确定性,需要在当地适应研究中加以考虑。