Hydrological model parameter (in)stability – “crash testing” the HBV model under contrasting flood seasonality conditions     

Klaus Vormoor  Maik Heistermann  Axel Bronstert  Deborah Lawrence 《水文科学杂志》2018,63(7):991-1007

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.  相似文献   

Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments   总被引：1，自引：0，他引：1  

G. Thirel  V. Andréassian  C. Perrin  J.-N. Audouy  L. Berthet  P. Edwards 《水文科学杂志》2015,60(7-8):1184-1199

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基于多源水深数据融合的海底高精度地形重建   总被引：2，自引：0，他引：2  

樊妙  孙毅  邢喆  王祎婷  李四海  金继业 《海洋学报》2017,39(1):130-137

本文在研究多源水深数据构建技术的基础上,分析了张力样条插值算法和“移去-恢复”法的多源水深数据融合处理技术,基于该方法选取实验区,利用多波束、单波束、历史海图等多源水深数据进行高精度海底地形融合试验,并针对多源水深融合技术缺少误差评估的现状,利用split-sample方法对融合结果进行水深不确定性评估,形成融合结果的可靠性空间分布。结果表明该方法无论是在数据稀疏区还是高密度区都达到了较好的融合效果,既保留了高分辨率水深数据的细节信息,又较真实的反映了研究区海底地形特征,且构建的海底地形精度可靠,误差百分比集中在0.5%。本文整套数据融合和结果评估方法可为多源水深数据融合的海底高精度地形构建提供借鉴和参考。  相似文献