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Attribution of Autumn/Winter 2000 flood risk in England to anthropogenic climate change: A catchment-based study

机译:基于流域的研究,英格兰2000年秋/冬洪水风险对人为气候变化的影响

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Although no single weather-related event can be directly attributed to climate change, new techniques make it possible to estimate how much the chance of an event has been altered by anthropogenic emissions. This paper looks at the floods that occurred in England in Autumn/Winter 2000, by using large ensembles of 1-year climate model simulations representing April 2000-March 2001. These represent an industrial climate and four estimates of an hypothetical non-industrial climate (without historical greenhouse gas emissions), and are used to drive hydrological models for eight catchments in England. The simulated flows are used to assess the impact of historical emissions on the chance of occurrence of extreme floods in each catchment, through calculation of the fraction of attributable risk (FAR). Combining results for the four non-industrial climates, positive median values of FAR indicate that, for all but one catchment, emissions are likely to have led to an increased chance of flooding in the October-December period. Definitive conclusions are difficult however, as there are wide bands of uncertainty in FAR, with distributions generally spanning no attributable difference in risk (FAR = 0). One catchment shows a decreased flood chance (negative median FAR), due to its high permeability, but an analysis of the effect of antecedent conditions shows that a longer period of climate data than 1. year is probably required to obtain more representative values of FAR for such catchments. The inclusion of snowfall/snowmelt is also shown to be important for floods over the October-March period, as the reduced likelihood of snowmelt-induced floods in the warmer temperatures of the industrial climate moderates the increased flood chance due to other sources of flooding.
机译:尽管没有任何与天气有关的事件可以直接归因于气候变化,但是新技术使估算人为排放改变事件发生的可能性成为可能。本文使用代表2000年4月至2001年3月的大型1年气候模型模拟,考察了2000年秋季/冬季英格兰发生的洪水。这些模拟代表了工业气候和假设的非工业气候的四个估计(没有历史性的温室气体排放),并用于驱动英格兰八个流域的水文模型。通过计算可归因风险(FAR)的比例,使用模拟流量来评估历史排放量对每个流域发生特大洪水的机会的影响。结合四种非工业气候的结果,FAR的正中值表明,除一个集水区外,所有其他方面的排放都有可能导致10-12月期间发生洪灾的机会增加。但是,由于FAR的不确定性范围很广,因此确定性结论很困难,其分布通常没有可归因的风险差异(FAR = 0)。一个流域由于其高渗透性而显示出降低洪灾的机会(负中值FAR),但是对前期条件影响的分析表明,要获得更具代表性的FAR值,可能需要比1年更长的气候数据。这样的集水区。降雪/融雪的纳入对于十月至三月期间的洪水也很重要,因为在工业气候较暖的温度下,融雪引发的洪水的可能性降低,从而抑制了由于其他洪水源而增加的洪水几率。

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