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Calibration of distributed hydrological models considering the heterogeneity of the parameters across the basin: a case study of SWAT model

机译:考虑到整个盆地参数的异质性的分布式水文模型的校准 - 以SWAT模型为例

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摘要

Distributed hydrological models account for spatial heterogeneity by discretizing the watershed into unique units based on the watershed characteristics. However, parameter estimation is one of the major tasks in the application of distributed hydrological models. The existing calibration methods for distributed hydrological models do not consider the spatial variability of the parameters across the basin, and, therefore, do not guarantee good simulations on locations other than the calibration outlets. This study proposes a calibration approach which preserves the heterogeneity of the parameters across the basin. The basic simulation units of the distributed models are grouped in this approach based on the land use and soil type, and a random perturbation of the parameters is performed in these groups during calibration. The proposed method is demonstrated through a case study of two watersheds in the USA using soil and water assessment tool (SWAT) model. The results indicate that the calibrated model simulations in the upstream gauged locations (other than that used for calibration) are much better in the proposed approach, in contrast to the currently employed calibration method. Nonetheless, it is also observed that the proposed calibration approach would be more effective in watersheds that have higher spatial heterogeneity.
机译:分布式水文模型通过将流域离散到基于流域特征来分配成空间异质性。然而,参数估计是分布式水文模型应用中的主要任务之一。分布式水文模型的现有校准方法不考虑盆地中参数的空间可变性,因此,在校准出口以外的位置不保证良好的模拟。本研究提出了一种校准方法,其保留了整个盆地的参数的异质性。分布式模型的基本仿真单元以这种方法分组,基于土地使用和土壤类型,并且在校准期间在这些组中进行随机扰动。通过使用土壤和水评估工具(SWAT)模型,通过对美国两种流域进行证明的方法。结果表明,与当前采用的校准方法相比,所提出的方法的上游测量位置(用于校准的校准除外)的校准模型模拟更好。尽管如此,还观察到所提出的校准方法在具有较高空间异质性的流域中更有效。

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