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Uncertainty of climate change impact on groundwater resources considering various uncertainty sources

机译:考虑各种不确定性来源的气候变化不确定性对地下水资源的影响

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Many studies have highlighted that climate change will have a negative impact on groundwater. However, in previous studies, the estimation of uncertainty around projections was very limited. In this study, the impact of climate change on groundwater resources is estimated for the Geer basin using a surface-subsurface integrated model. The uncertainties around impact projections are evaluated from three different sources. The uncertainty linked to the climate model is assessed with six contrasting RCMs and two GCMs. The uncertainty linked to the natural variability of the weather is evaluated thanks to a weather generator which enables production of a large number of equiprobable climatic scenarios. The uncertainty linked to the calibration of the hydrological model is assessed by a coupling with UCODE2005 and by performing a complete linear uncertainty analysis on predictions. A linear analysis is approximate for this nonlinear system, but provides some measure of uncertainty for this computationally demanding model. Results for this study show that the uncertainty linked to the hydrological model is the most important.
机译:许多研究强调,气候变化将对地下水产生负面影响。但是,在先前的研究中,围绕预测的不确定性的估计非常有限。在这项研究中,使用地表-地下综合模型估算了盖尔盆地气候变化对地下水资源的影响。围绕影响预测的不确定性从三个不同来源进行评估。与气候模型相关的不确定性通过六个对比RCM和两个GCM进行评估。借助天气生成器可以评估与天气的自然可变性相关的不确定性,该生成器可以生成大量等概率的气候方案。通过与UCODE2005耦合并通过对预测进行完整的线性不确定性分析,可以评估与水文模型校准相关的不确定性。对于该非线性系统,线性分析是近似的,但为该计算需求模型提供了一些不确定性度量。这项研究的结果表明,与水文模型有关的不确定性是最重要的。

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