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Scenario-Based Modelling Studies to Assess the Impact of Climate Change on Floods in the German Rhine Catchment

机译:基于情景的建模研究,评估德国莱茵集水区洪水影响的影响

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The aim of the study is to analyse the impact of global climate change on regional hydrology with special emphasis on discharge conditions and floods. The investigations are focussed on important sub-catchments in the German Rhine catchment where a chain of models was applied: Large scale atmospheric fields, simulated by two different Global Circulation Models (GCMs) driven by the emission scenario IS95a ('business as usual') were used as input to the method of expanded downscaling (EDS). EDS delivers local time series of scenario climate variables (precipiation, temperature) as input to HBV-D, a hydrological model that simulates runoff under present as well as scenario climate conditions. Observed and simulated time series of discharge were analysed in order to assess possible future runoff conditions under the impact of climate change. The study indicates a potential increase in mean runoff and flood discharge for small return intervals. However, the uncertainty range that originates from the application of the whole model chain and two different GCMs is high. This leads to high cumulative uncertainties, which do not allow conclusions to be drawn on the development of future extreme floods.
机译:该研究的目的是分析全球气候变化对区域水文的影响,特别强调出院条件和洪水。该调查专注于德国莱茵河集中的重要子集水区,其中应用了一系列模型:大规模的大气领域,由发射方案为95A(像往常的“业务”的两个不同全局循环模型(GCMS)模拟的大规模大气领域被用作扩展缩小(EDS)的方法的输入。 EDS将当地时间序列的场景变量(沉淀,温度)作为输入到HBV-D的输入,这是一种水文模型,用于模拟现在的径流以及场景气候条件。观察和模拟的排放时间序列是分析的,以便在气候变化的影响下评估可能的未来径流条件。该研究表明,用于小返回间隔的平均径流和洪水放电的潜在增加。但是,源自应用全模型链和两个不同GCMS的应用的不确定性范围很高。这导致高累积的不确定性,这不允许结论来制定未来极端洪水的发展。

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