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Multi-basin and regional calibration based identification of distributed precipitation-runoff models for hourly runoff simulation: calibration and transfer of full and partial parameters

机译:基于多流域和区域校准的分布式降雨-径流模型识别,用于每小时径流模拟:全部和部分参数的校准和传递

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摘要

Identification of distributed precipitation-runoff models for hourly runoff simulation based on transfer of full parameters (FP) and partial parameters (PP) are lacking for boreal mid-Norway. We evaluated storage-discharge relationships based model (Kirchmod), the Basic-Grid-Model (BGM) and a simplified Hydrologiska Byrans Vattenbalansavdelning (HBV) model for multi-basins (26 catchments). A regional calibration objective function, which uses all streamflow records in the region, was used to optimize local calibration parameters for each catchment and regional parameters yielding maximum regional weighted average (MRWA) performance measures (PM). Based on regional median Nash-Sutcliffe efficiency (NSE) and NSEln (for log-transformed series) for the calibration and validation periods, the Kirchmod model performed better than the others. Parsimony of the Kirchmod model provided less parameter uncertainty for the FP case but did not guarantee parameter identifiability. Tradeoffs between parsimony and performance were observed despite advantages of parsimony to reduce parameter correlations for the PP, which requires preliminary sensitivity analysis to identify which parameters to transfer. There are potential advantages of using the MRWA method for parameter transfer in space. However, temporal validation indicated marked deterioration of the PM. The tradeoffs between parameter transfers in space and time substantiate both spatial and temporal validation of the regional calibration methodology.
机译:挪威中北部缺少基于全参数(FP)和部分参数(PP)传递的用于小时径流模拟的分布式降水径流模型的识别。我们针对多流域(26个流域)评估了基于储水关系的模型(Kirchmod),基本网格模型(BGM)和简化的Hydrologiska Byrans Vattenbalansavdelning(HBV)模型。使用了一个区域校准目标函数,该函数使用了该区域中的所有流量记录,用于优化每个集水区的局部校准参数和产生最大区域加权平均值(MRWA)性能度量(PM)的区域参数。根据校准和验证期间的区域中位数纳什-苏特克利夫效率(NSE)和NSEln(对于对数转换序列),Kirchmod模型的表现优于其他模型。 Kirchmod模型的简约性为FP情况提供了较少的参数不确定性,但不能保证参数的可识别性。尽管简约性在降低PP参数相关性方面具有优势,但仍可以在简约性和性能之间进行权衡,这需要进行初步的灵敏度分析以识别要传输的参数。使用MRWA方法在空间中进行参数传递具有潜在的优势。但是,时间验证表明PM明显恶化。时空参数传递之间的折衷证明了区域校准方法的时空验证。

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