ISSN 1000-3665 CN 11-2202/P
    彭书艳,陆峥,吴婷婷,等. 地下水-地表水集成模型研究进展[J]. 水文地质工程地质,2024,51(0): 1-15. DOI: 10.16030/j.cnki.issn.1000-3665.202401001
    引用本文: 彭书艳,陆峥,吴婷婷,等. 地下水-地表水集成模型研究进展[J]. 水文地质工程地质,2024,51(0): 1-15. DOI: 10.16030/j.cnki.issn.1000-3665.202401001
    PENG Shuyan, LU Zheng, WU Tingting, et al. Research progress in integrated groundwater-surface water models[J]. Hydrogeology & Engineering Geology, 2024, 51(0): 1-15. DOI: 10.16030/j.cnki.issn.1000-3665.202401001
    Citation: PENG Shuyan, LU Zheng, WU Tingting, et al. Research progress in integrated groundwater-surface water models[J]. Hydrogeology & Engineering Geology, 2024, 51(0): 1-15. DOI: 10.16030/j.cnki.issn.1000-3665.202401001

    地下水-地表水集成模型研究进展

    Research progress in integrated groundwater-surface water models

    • 摘要: 地下水-地表水交互过程涉及物质运移与能量传输,对流域水文生态环境有着直接影响,已成为近年来水文地质等领域的研究热点。研究表明,地下水-地表水集成模型是研究地下水与地表水交互的有效手段。通过回顾近年来地下水-地表水集成模型的相关研究,概述了地下水-地表水集成模型分类、模型误差来源、模型应用、面临挑战与发展趋势等5方面内容。其中,地下水-地表水集成模型根据耦合方案可分为完全耦合模型和松散耦合模型;模型误差来源主要包括地形处理方案、驱动数据、模型参数化方案、人为因素和认知的有限性等5类;目前,集成模型广泛应用于气候变化和人类活动影响下的地下水-地表水规律变化以及水资源管理与优化配置方面的研究。随着水文学研究的深入发展,地下水-地表水集成模型面临着基础数据需求增大、硬件平台要求提高、模拟范围难以准确把握和学科交叉趋势明显等挑战;未来集成模型将向拓宽参数获取渠道、提高模型计算效率和加强不同学科融合等方面发展。

       

      Abstract: Groundwater-surface water interaction involves material transport and energy transfer processes, which directly impacts the hydro-ecological environment of watersheds. It is a crucial component of the hydrological cycle which has become a hot issue in hydrogeology in recent years. The integrated groundwater-surface water models serve as a powerful tool for studying groundwater-surface water interaction. This paper reviewed recent studies on integrated groundwater-surface water models, providing an overview in five aspects: classification of integrated groundwater-surface water models, sources of model bias, model application, challenges, and trend of model development. Integrated models are categorized into fully coupled and loosely coupled models based on coupling schemes. There are five categories of sources of integrated model bias, including topographic processing, meteorological forcing bias, model parameters, anthropogenic process, and epistemic limitations. The integrated models are widely used to study the changes in groundwater-surface water patterns under the influences of climate change and human activities, and to research water resources management and optimization. In addition, the integrated models are facing multiple challenges, such as the increasing demand for basic data, higher requirements for hardware platforms, the difficulty in accurately determining the modeling region, and the evident trend of interdisciplinary integration. Finally, the integrated model development is expected to focus on enriching the approaches to obtaining model parameters, improving the simulation efficiency, and strengthening the integration of model coupling with different disciplines.

       

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