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Hydrological model parameter (in)stability - 'crash testing' the HBV model under contrasting flood seasonality conditions

机译:水文模型参数(不稳定性)-在洪灾季节性条件相反的情况下“碰撞测试” HBV模型

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摘要

This paper investigates the transferability of calibrated HBV model parameters under stable and contrasting conditions in terms of flood seasonality and flood generating processes (FGP) in five Norwegian catchments with mixed snowmelt/rainfall regimes. We apply a series of generalized (differential) split-sample tests using a 6-year moving window over (i) the entire runoff observation periods, and (ii) two subsets of runoff observations distinguished by the seasonal occurrence of annual maximum floods during either spring or autumn. The results indicate a general model performance loss due to the transfer of calibrated parameters to independent validation periods of -5 to -17%, on average. However, there is no indication that contrasting flood seasonality exacerbates performance losses, which contradicts the assumption that optimized parameter sets for snowmelt-dominated floods (during spring) perform particularly poorly on validation periods with rainfall-dominated floods (during autumn) and vice versa.
机译:本文研究了在五个季节性融雪/降雨制度下的挪威流域,在洪水季节和洪水发生过程(FGP)的稳定和对比条件下,校准的HBV模型参数的可传递性。我们应用了一系列广义(差分)分割样本测试,方法是在(i)整个径流观测期和(ii)径流观测的两个子集之间进行6年移动窗口,这两个子集的特征是在任一时期内每年最大洪水的季节性发生春天或秋天。结果表明,由于将校准参数转移到平均(平均)-5%至-17%的独立验证期,导致模型总体性能下降。但是,没有迹象表明不同的洪水季节会加剧性能损失,这与以下假设的假设相矛盾:对于融雪为主的洪水(春季)优化参数集在以降雨为主的洪水(秋季)的验证期内表现特别差,反之亦然。

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