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河流潜流带和潜流交换时空变异特征研究综述 被引量:11

Spatial-temporal variability in hyporheic zone and hyporheic exchange
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摘要 非均质性和时变性是潜流带和潜流交换的基本属性,潜流带和潜流交换时空变化特征的定量识别对地表水和地下水水量与水质的综合管理、流域水资源的评价和开发利用,以及对河流健康生态系统的维持均具有重要的指导意义。为了分析和掌握其规律特征,对国内外近20a来的河流潜流带和潜流交换时空变异特征的相关研究成果进行了系统的分析和探讨,阐述了潜流带和潜流交换在空间和时间上的变化特征,以及它们之间的相互作用关系,揭示了潜流带和潜流交换时空变异特征的影响机理;最后,基于已有的研究成果和未来的发展趋势,提出了针对潜流带时空变异规律的下一步研究工作方向和重点。 Heterogeneity and time-variation are the basic attributes of hyporheic zone and hyporheic exchange. Quantitative identification of spatial-temporal variation characteristics of hyporheic zone and hyporheic exchange are of great significance to the comprehensive management of surface water and groundwater quantity and quality, the evaluation and utilization of watershed water resources, and the conservation of healthy river ecosystem. In order to grasp its characteristics, we systematically analyzed and discussed the studies regarding spatial-temporal variability characteristics of hyporheic zone and hyporheic exchange in the past twenty years at home and abroad. We also explained the spatial-temporal changing features of subsurface flow zones and exchange of subsurface flow and its interactive relationships, revealing the influence mechanism of its spatial-temporal variability. Finally, based on existing research results and future developing trends, the following action plan and research focus on the subject are proposed.
作者 吴光东 张潇 鲁程鹏 WU Guangdong;ZHANG Xiao;LU Chengpeng(Water Resources Department, Changjiang River Scientific Research Institute, Wuhan 430010, China;Hubei Provincial Key Laboratory of Water Resources in River Basins and Ecological Environment Science,Changjiang River Scientific Research Institute,Wuhan 430010,China;Changjiang Institute of Survey,Planning, Design and Research,Wuhan 430010,China;Hydrology and Water Resources Department, Hohai University, Nanjing 210098, China)
出处 《人民长江》 北大核心 2019年第10期100-107,共8页 Yangtze River
基金 中央级公益性科研院所基本科研业务费项目(CKSF2019192/SZ)
关键词 潜流交换 河流潜流带 时空变异特征 影响机理 定量识别 hyporheic zone hyporheic exchange spatial and temporal variability influence mechanism quantitative identification
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