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Climate change impact and uncertainty analysis on hydrological extremes in a French Mediterranean catchment

机译:法国地中海集水区水文极端的气候变化影响与不确定性分析

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摘要

The Mediterranean region is a climate change hotspot for water resources. However, uncertainty analyses of hydrological projections are rarely quantified. In this study, an in-depth analysis of projections and uncertainties for high and low flows is performed. Climatic projections derived from a recent downscaling method were used, for two representative concentration pathway scenarios (RCPs), five general circulation model/regional climate model (GCM/RCM) couples, three hydrological models (HMs), and 29 calibration schemes. A quasi-ergodic analysis of variance was used to evaluate the contribution of each impact modelling step to the total uncertainty. For high flows, the results show a mean increase of 30% by 2085, and RCPs make the highest contribution to the total uncertainty, followed by GCMs. For low flows, 50% of projections indicate a decrease of 7% or more by 2085, and HM structures, hydrological model parameters, and GCMs are the most important uncertainty sources. These results contribute to raise awareness among water managers regarding future hydrological extreme events.
机译:地中海地区是一种气候变化热点,用于水资源。然而,很少量化水文突起的不确定性分析。在该研究中,执行对高和低流量的投影和不确定性的深入分析。使用近期缩小方法的气候突起,用于两个代表性浓度通路场景(RCP),五个一般循环模型/区域气候模型(GCM / RCM)夫妻,三种水文模型(HMS)和29个校准方案。用于评估每个影响模型步骤对总不确定性的贡献来评估对差异的准ergodic分析。对于高流量,结果显示平均增加30%到2085,RCP对总不确定性的贡献最高,其次是GCM。对于低流量,50%的投影指示通过2085的降低7%或更多,以及HM结构,水文模型参数和GCM是最重要的不确定性来源。这些结果有助于提高有关未来水文极端事件的水管理人员的认识。

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