Model parameterization scheme for a distributed hydrological model, BTOPMC

Satish Bastola
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引用次数: 0

Abstract

A distributed hydrological model (BTOPMC) provides a distributed estimation of water balance components imperative for sustainable water resource management. The model employs numerous calibration parameters to represent the complex river system. The model uses a transfer function relating the basin scale parameters to estimate grid scale parameters. However, in large and heterogeneous river basin systems, more hydrological response units and subsequently more calibration parameters are required. The study developed the functional relationship between model parameters and catchment attributes at multiple scales to reduce the calibration parameters. The functional relationship developed from one of the test basins from Nepal with extant observations is analyzed by endogenizing the relationship and calibrating its coefficient rather than directly calibrating parameters. The results show that calibration of the regional relationship coefficient rather than the model parameters resulted in comparable model performance to direct calibration, but with more identifiable model parameters.
分布式水文模型BTOPMC模型参数化方案
分布式水文模型(BTOPMC)提供了可持续水资源管理所需的水平衡成分的分布式估计。该模型采用大量的标定参数来表征复杂的河流水系。该模型利用流域尺度参数的传递函数来估计网格尺度参数。然而,在大而非均匀的流域系统中,需要更多的水文响应单元,从而需要更多的校准参数。研究建立了多尺度下模型参数与流域属性的函数关系,减少了定标参数。利用尼泊尔某试验盆地与现有观测资料建立的函数关系进行分析,采用内因化方法校正其系数,而不是直接校正参数。结果表明,与直接定标模型参数相比,采用区域关系系数定标模型性能相当,但模型参数可识别性更强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
9.20
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