Recent progress in coupled surface–ground water models and their potential in watershed hydro-biogeochemical studies: A review

Yao Wang , Nengwang Chen
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引用次数: 15

Abstract

Interactions between surface water (SW) and groundwater (GW) have been a focus of watershed hydrology research for a long time. A holistic perspective on integrated SW–GW modeling approach is necessary to understand the hydrological and biogeochemical processes of these two interconnected systems within the watershed. This paper reviewed the progress and coupling strategy of one important SW model (Soil and Water Assessment Tool, SWAT) and GW model (Modular Finite Difference Groundwater Flow, MODFLOW) since 1999. Three main stages of development of coupled SWAT–MODFLOW model are reflected by the high citation of publications by three pioneer studies, which are Sophocleous et al. (1999), Kim et al. (2008) and Bailey et al. (2016). Currently, the research scope of coupled SWAT–MODFLOW models is focused on hydrologic processes, solute transport and the effects of climate change and human activity on water resources. Major uncertainties of SWAT–MODFLOW from model structure, database and parameterization are discussed. In an era of big data, the coupled SWAT–MODFLOW model has great potential to improve understanding of hydro-biogeochemical processes and support sustainable water and ecological management in the watershed.

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地表水-地下水耦合模型研究进展及其在流域水文-生物地球化学研究中的潜力
长期以来,地表水与地下水相互作用一直是流域水文学研究的热点。要理解流域内这两个相互关联系统的水文和生物地球化学过程,有必要从整体上看待SW-GW综合建模方法。本文综述了1999年以来水土评价工具(SWAT)与MODFLOW模型(MODFLOW, Modular Finite Difference Groundwater Flow)的研究进展及耦合策略。Sophocleous et al.(1999)、Kim et al.(2008)和Bailey et al.(2016)这三个先锋研究的高引用率反映了SWAT-MODFLOW耦合模型发展的三个主要阶段。目前,SWAT-MODFLOW耦合模型的研究范围主要集中在水文过程、溶质运移以及气候变化和人类活动对水资源的影响等方面。从模型结构、数据库和参数化三个方面讨论了SWAT-MODFLOW的主要不确定性。在大数据时代,SWAT-MODFLOW耦合模型在提高对水文-生物地球化学过程的认识和支持流域可持续水生态管理方面具有很大的潜力。
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