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首页> 外文期刊>Journal of the American Water Resources Association >Implications of Conceptual Channel Representation on SWAT Streamflow and Sediment Modeling
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Implications of Conceptual Channel Representation on SWAT Streamflow and Sediment Modeling

机译:概念性通道表示对SWAT流和泥沙模拟的影响

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摘要

Hydrologic modeling outputs are influenced by how a watershed system is represented. Channel routing is a typical example of the mathematical conceptualization of watershed landscape and processes in hydrologic modeling. We investigated the sensitivity of accuracy, equifinality, and uncertainty of Soil and Water Assessment Tool (SWAT) modeling to channel dimensions to demonstrate how a conceptual representation of a watershed system affects streamflow and sediment modeling. Results showed the amount of uncertainty and equifinality strongly responded to channel dimensions. On the other hand, the model performance did not significantly vary with the changes in the channel representation due to the degree of freedom allowed by the conceptual nature of hydrologic modeling in the parameter calibration. Such findings demonstrated good modeling performance statistics do not necessarily mean small output uncertainty, and partial improvements in the watershed representation may neither increase modeling accuracy nor reduce uncertainty. We also showed the equifinality and uncertainty of hydrologic modeling are case-dependent rather than specific to models or regions, suggesting great caution should be used when attempting to transfer uncertainty analysis results to other modeling studies, especially for ungauged watersheds. Editor's note: This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.
机译:水文模型输出受流域系统表示方式的影响。河道布线是水文建模中流域景观和过程数学概念化的典型示例。我们调查了土壤和水评估工具(SWAT)建模对通道尺寸的准确性,均等性和不确定性的敏感性,以证明分水岭系统的概念表示如何影响水流和沉积物建模。结果表明,不确定性和均等性的数量对通道尺寸有强烈的响应。另一方面,由于参数校准中水文建模的概念性所允许的自由度,模型性能不会随通道表示的变化而显着变化。这些发现表明,良好的建模性能统计数据并不一定意味着较小的输出不确定性,并且分水岭表示的部分改善可能不会增加建模精度也不会降低不确定性。我们还表明,水文模型的等效性和不确定性取决于具体情况,而不是特定于模型或地区,这表明在尝试将不确定性分析结果转移到其他建模研究(尤其是对于未开放流域)时应格外谨慎。编者注:本文是针对新兴水文和水质挑战的SWAT应用程序精选系列的一部分。有关该系列的简介和背景信息,请参见2017年2月号。

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