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PUB in Québec: A robust geomorphology-based deconvolution-reconvolution framework for the spatial transposition of hydrographs
Journal of Hydrology ( IF 6.4 ) Pub Date : 2019-03-01 , DOI: 10.1016/j.jhydrol.2018.12.052
Stéphane Ecrepont , Christophe Cudennec , François Anctil , Anne Jaffrézic

Abstract The flexibility and parsimony of transpositioning hydrographs using geomorphology-based deconvolution-reconvolution frameworks is particularly adapted to prediction in ungauged basins. Although already tested in semi-arid and oceanic-temperate hydro-climates, its predictions must be reproducible in a variety of hydrological contexts. The present study explores the nivo-pluvial hydrological regime using geomorphology-based hydrograph transposition between 21 gauged catchments ranging from 1.1 to 4466.4 km2 in Quebec, Canada, and constitutes a case study in prediction in ungauged basins. Three metrics were used to assess model performance for each donor-target pair: Nash Sutcliffe Efficiency (NSE), NSE calculated for the square root of discharge (NSEsqrt), and Volumetric Efficiency (VE). The classic transposition of hydrographs using the specific discharge ratio, used as a reference, was almost always outperformed by the geomorphology-based approach. Good but seasonally variable performance values were obtained for several pairs of catchments, revealing simultaneous structural and circumstancial effects. The difference in size, the physical distance between the gauged donor and its target ungauged catchment, and the season influenced the performance of the geomorphology-based transposition.

中文翻译:

魁北克的 PUB:一个强大的基于地貌学的去卷积-再卷积框架,用于水文过程线的空间转置

摘要 使用基于地貌学的反卷积-再卷积框架转换水文过程线的灵活性和简约性特别适用于未测量盆地的预测。尽管已经在半干旱和海洋温带水文气候中进行了测试,但它的预测必须在各种水文环境中具有可重复性。本研究使用基于地貌学的水文过程线在加拿大魁北克 1.1 至 4466.4 平方公里范围内的 21 个测量流域之间探索了 nivo-雨洪水文状况,并构成了未测量流域预测的案例研究。三个指标用于评估每个供体-目标对的模型性能:Nash Sutcliffe 效率 (NSE)、根据放电平方根计算的 NSE (NSEsqrt) 和容积效率 (VE)。使用特定流量比作为参考的经典水位线转换几乎总是优于基于地貌的方法。几对集水区获得了良好但季节性可变的性能值,揭示了同时发生的结构和环境影响。大小的差异、测量的捐助者与其目标未测量的集水区之间的物理距离以及季节影响了基于地貌的换位的性能。
更新日期:2019-03-01
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