SHUD Modeling System

SHUD(Simulator for Hydrologic Unstructured Domains)是多尺度、多过程、高时间分辨率、灵活空间分辨率、地表-地下紧密耦合、有限体积法求解的分布式水文模型。

空间结构:非结构三角网格组成流域,三角形单元为最小计算单元,单元间差异性即反映水文参数的空间异质性。单元在垂直方向上分为地表、未饱和层以及饱和层

时间步长:SHUD使用可变时间步长,模型自动寻找可保证全局收敛的时间步长。实际运算时间步长为1秒~10分钟。

SHUD是典型地表地下耦合的数值方法水文模型(Surface-Subsurface Integrated Hydrologic Model with Numerical Method, SSIHM-NM),具有物理过程清晰、时间分辨率高、空间表达更接近真实、数学算法效率高、模型适应性强、扩展性强等显著优势,并且初步在世界多地洪水预报、水资源评价、土地利用影响评价、湖泊生态、农业经济、以及学科交叉耦合等科研应用上得到验证。

三维模型 模型说明书

模型源代码

SHUD Modeling System

SHUD应用案例

SHUD模型已经应用于全球若干流域研究项目,流域尺度的SHUD模拟已经覆盖0.08 km2至70,000 $km^2$ 面积范围,空间分辨率从米至公里级;时间尺度上可实现天至百年长度的连续模拟。

已经开展SHUD模型应用的23个流域的位置,其中19个模拟已经得到初步验证。 模型应用的科学目标包括:洪水模拟、土地利用变化对水资源影响、气候变化影响、水资源评价、积雪变化、地下水变化、湖泊与流域关系、农业模型耦合、古代社会水资源问题、水文-农业-经济耦合关系等等。

SHUD应用案例

学术交流

Talk, poster and workshop

最新成果

Recent Publications

From concept to practice to policy: modeling coupled natural and human systems in lake catchments
Recent debate over the scope of the U.S. Clean Water Act underscores the need to develop a robust body of scientific work that defines the connectivity between freshwater systems and people. Coupled natural and human systems (CNHS) modeling is one tool that can be used to study the complex, reciprocal linkages between human actions and ecosystem processes. Well-developed CNHS models exist at a conceptual level, but the mapping of these system representations in practice is limited in capturing these feedbacks. This article presents a paired conceptual-empirical methodology for functionally capturing feedbacks between human and natural systems in freshwater lake catchments, from human actions to the ecosystem and from the ecosystem back to human actions. We address extant challenges in CNHS modeling, which arise from differences in disciplinary approach, model structure, and spatiotemporal resolution, to connect a suite of models. In doing so, we create an integrated, multi-disciplinary tool that captures diverse processes that operate at multiple scales, including land-management decision-making, hydrologic-solute transport, aquatic nutrient cycling, and civic engagement. In this article, we build on this novel framework to advance cross-disciplinary dialogue to move CNHS lake-catchment modeling in a systematic direction and, ultimately, provide a foundation for smart decision-making and policy.
From concept to practice to policy: modeling coupled natural and human systems in lake catchments

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