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作 者:窦明[1] 余佳琦 关健 杨柳俊[3] 王偲[3] 李桂秋[1] DOU Ming;YU Jiaqi;GUAN Jian;YANG Liujun;WANG Cai;LI Guiqiu(College of Water Resources and Transportation,Zhengzhou University,Zhengzhou 450001,China;Henan Provincial Natural Resources Monitoring and Land Improvement Institute,Zhengzhou 450000,China;Nantong Branch of Jiangsu Provincial Hydrology and Water Resources Survey Bureau,Nantong 226000,China)
机构地区:[1]郑州大学水利与交通学院,河南郑州450001 [2]河南省自然资源监测和国土整治院,河南郑州450000 [3]江苏省水文水资源勘测局南通分局,江苏南通226000
出 处:《水科学进展》2023年第6期877-886,共10页Advances in Water Science
基 金:国家自然科学基金资助项目(51879239);郑州大学院士团队科研启动项目(13432340370)
摘 要:为了探究大型水系发育水平和连通程度之间的联系,以中国水资源区为基本单元,采用分形理论计算各水资源一级区的水系盒维数,并选用支流发育系数等多指标综合表征水系的发育水平;基于图论方法计算在流域单元分解、大型湖泊优化和大型调水工程连通等工况下各水资源一级区的水系连通度,并选用水系环度等多项指标来表征水系的连通程度;采用统计学方法分析各水资源一级区水系发育度指标和连通度指标的内在联系。结果表明:中国十大水资源区的水系盒维数在1.1~1.6之间,分为成熟、较成熟、不成熟3级;通过对各水资源分区的图模型改进,能更好地反映出水系的复杂性和细节特征,提高水系连通度的计算精度;通过相关分析显示,水系发育度和水系连通度指标之间整体呈正相关关系。该研究结果有助于定量描述水资源区的水系特征和连通程度,为水资源优化配置和管理调度提供借鉴。To explore the relationship between the development level and connectivity of large-scale water systems,we focused on China′s water resource zones as the fundamental unit.To calculate the box dimension of each primary water resource zone,the fractal theory was employed,while multiple indicators such as the tributary development coefficient ratio of tributaries were selected to comprehensively characterize the developmental level of the water systems.Besides,the graph theory was used to quantify the connectivity of water systems at the primary water resource zone level under various conditions,including watershed decomposition,optimization of large lakes,and large-scale water diversion projects.Multiple indicators,including water system loop degree,were utilized to evaluate the connectivity of the water systems.Moreover,statistical methods were employed to investigate the intrinsic relationship between indicators of water system development and connectivity.The results demonstrated that the box dimensions of China′s top ten water resource zones range from 1.1 to 1.6.These zones were categorized into three levels,namely mature,relatively mature,and immature.By enhancing the graph models of each water resource zone,we could achieve a more accurate representation of the complexity and detailed characteristics of the water systems and thus could improve the precision of connectivity calculations.The correlation analysis revealed an overall positive correlation between the indicators of water system development and connectivity.Our research findings contribute to a quantitative description of the water system characteristics and connectivity in China′s water resource zones,providing valuable insights into the optimization of water resource allocation and management operations.
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