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An approach to measure parameter sensitivity in watershed hydrological modelling

机译:流域水文建模中参数敏感性的一种度量方法

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摘要

Hydrological responses vary spatially and temporally according to watershed characteristics. In this study, the hydrological models that we developed earlier for the Little Miami River (LMR) and Las Vegas Wash (LVW) watersheds in the USA were used for detailed sensitivity analyses. To compare the relative sensitivities of the hydrological parameters of these two models, we used normalized root mean square error (NRMSE). By combining the NRMSE index with the flow duration curve analysis, we derived an approach to measure parameter sensitivities under different flow regimes. Results show that the parameters related to groundwater are highly sensitive in the LMR watershed, whereas the LVW watershed is primarily sensitive to near-surface and impervious parameters. The high and medium flows are more impacted by most of the parameters. The low flow regime was highly sensitive to groundwater-related parameters. Moreover, our approach is found to be useful in facilitating model development and calibration.
机译:水文响应根据流域特征在空间和时间上变化。在这项研究中,我们先前为美国的小迈阿密河(LMR)和拉斯维加斯水洗(LVW)流域开发的水文模型被用于详细的敏感性分析。为了比较这两个模型的水文参数的相对敏感性,我们使用归一化均方根误差(NRMSE)。通过将NRMSE指数与流动持续时间曲线分析相结合,我们得出了一种在不同流动状态下测量参数敏感性的方法。结果表明,在LMR流域,与地下水有关的参数高度敏感,而LVW流域对近地表和不渗透参数主要敏感。高流量和中等流量受大多数参数的影响更大。低流量状态对与地下水有关的参数高度敏感。此外,我们的方法被发现有助于模型开发和校准。

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