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首页> 外文期刊>Advances in Water Resources >Mechanistic interpretation of Alpine glacierized environments: Part 2. Hydrologic interpretation and model parameters identification on case study
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Mechanistic interpretation of Alpine glacierized environments: Part 2. Hydrologic interpretation and model parameters identification on case study

机译:高山冰川环境的机械解释:第二部分。案例研究的水文解释和模型参数识别

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摘要

The differential model MIAGE (see "Mechanistic Interpretation of Alpine Glacierized Environments: Part 1. Model formulation and related dynamical properties" by Perona and Burlando, this issue) is analyzed in this work with the purpose of: (i) showing the model equivalence to a nonlinear reservoir system; (ii) identifying and correlating the model's coefficients to the hydrogeomorphological properties of a number of different Alpine basins; (iii) testing the model performances to assess the potential impact of climatic change on the hydrologic dynamics of the basins being studied. The study catchments have different topographic, morphologic and hydrologic characteristics, range in size from 4 to 3300 km~2 and are 2-32% glacierized. For each basin, the model coefficients are obtained by applying a system identification technique to the mean seasonal basin behaviour. It is shown that the coefficients vary in a reasonable way according to hydrogeomorphological basin characteristics. Model coefficients provide insight into the basin drainage time, and the time dependent damping and elastic properties of the system. Despite its simplicity and in the limit of the model capabilities, results for changing climatic scenarios are also in good qualitative agreement with other well tested modelling approaches. In summary, MIAGE offers an interesting minimalist approach to shed light on the dynamics of glacierized Alpine catchments.
机译:在这项工作中分析了差分模型MIAGE(请参阅本刊物,Perona和Burlando的“高山冰川环境的机械解释:第1部分。模型制定和相关动力学特性”),其目的是:(i)显示与非线性油藏系统; (ii)确定模型系数并将其与许多不同高山盆地的水文地貌特征联系起来; (iii)测试模型性能,以评估气候变化对正在研究的盆地水文动力学的潜在影响。研究流域具有不同的地形,形态和水文特征,大小范围为4至3300 km〜2,冰川化程度为2-32%。对于每个流域,通过将系统识别技术应用于平均季节性流域行为,可以获得模型系数。结果表明,系数随水文地貌盆地特征的变化而合理变化。模型系数提供了对流域排水时间以及系统随时间变化的阻尼和弹性特性的洞察力。尽管其简单性和模型功能的局限性,但更改气候方案的结果与其他经过良好测试的建模方法也具有很好的定性一致性。总之,MIAGE提供了一种有趣的极简主义方法来阐明冰川化的高山流域的动态。

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