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Watershed modeling applications with a modular physically-based and spatially-distributed watershed educational toolbox

机译:具有模块化的基于物理和空间分布的分水岭教育工具箱的分水岭建模应用程序

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Introductory hydrology courses traditionally focus on process-based hydrology (i.e. precipitation, evaporation, runoff, etc.) that is ultimately unified through watershed modeling. Although physically-based and spatially-distributed hydrologic models are arguably valuable learning tools, they typically have steep learning curves and high computational costs. To overcome these common drawbacks in hydrology education, we developed the user-friendly, open-access Modular Distributed Watershed Educational Toolbox (MOD-WET). MOD-WET is a compilation of highly modular functions designed for process-based applications, which are integrated into a physically-based and spatially-distributed watershed model. When students use the toolbox to study individual processes, they become familiar with the fundamental components forming the hydrologic model. Student feedback indicates that this approach makes a holistic understanding of the water cycle more accessible to students. Hydrograph sensitivity to watershed characteristics (size, slope, roughness, etc.) is demonstrated. The capability of MOD-WET to model warm and cold land processes is also illustrated for a snow-covered basin. (C) 2015 Elsevier Ltd. All rights reserved.
机译:入门性水文学课程传统上侧重于基于过程的水文学(即降水,蒸发,径流等),最终通过分水岭建模将其统一。尽管基于物理和空间分布的水文模型可以说是有价值的学习工具,但它们通常具有陡峭的学习曲线和较高的计算成本。为了克服水文学教育中的这些常见弊端,我们开发了用户友好的,开放式的模块化分布式分水岭教育工具箱(MOD-WET)。 MOD-WET是针对基于过程的应用程序设计的高度模块化功能的汇总,这些功能已集成到基于物理的空间分布分水岭模型中。当学生使用工具箱研究单个过程时,他们会熟悉构成水文模型的基本组成部分。学生的反馈表明,这种方法使学生更容易了解水循环。展示了水位图对流域特征(大小,坡度,粗糙度等)的敏感性。 MOD-WET可以模拟积雪盆地的热陆过程模拟能力。 (C)2015 Elsevier Ltd.保留所有权利。

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