运河对河湖水系连通网络水文连通性的影响机制研究—以环莱州湾为例
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北京师范大学 水科学研究院

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Impact mechanisms of canals on hydrological connectivity of river and lake system interconnection networks: a case study of Laizhou Bay
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1.College of Water Sciences,Beijing Normal University,Beijing,100875;2.China

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    摘要:

    作为新建型河湖水系连通工程,运河改变了河湖水系连通网络的连通格局,影响着网络内物质、能量和风险的传递路径,但运河对河湖水系连通网络水文连通性的影响机制尚不清晰。以环莱州湾地区作为研究区,应用SWAT+模型和图论方法,分析有运河和无运河两种情景下河湖水系连通网络的水文连通性,探究运河对区域内不同流域、不同水体类型的影响机制。结果表明:运河对不同流域水文连通性的影响受流域河网结构、河流流量、运河连接数量和连接位置主导,潍河流域和弥河流域河网结构复杂,自身水文连通性较高,受运河影响程度较低,黄河-广利河流域以及大沽河-胶莱河流域运河连接密度较大,水文连通性受运河影响较大,其河流连通网络的抗退化风险能力和连通重要性程度指标值均提高了20余倍。针对不同水体类型,低流量河段的抗干扰能力最高,为湖泊水库和高流量河段平均值的3.4倍和1.5倍;但低流量河段对运河的敏感度最低,湖泊水库受运河的影响程度最高;运河对不同水体类型的影响受水体与网络中心水体的距离主导。在开展区域河湖水系连通网络规划时,应当考虑连通影响能力的“优先连接”和抗干扰能力的反“优先连接”增长机制,以更合理地规避水文连通性非预期增长所面临的风险。

    Abstract:

    As newly constructed river and lake system interconnection projects, canals change the connectivity pattern of the river and lake system interconnection network. Furthermore, it affects the pathways of material, energy and risk across the network, but the mechanism by which newly constructed canals affect the the river and lake system interconnection network is not yet clear. The area around Laizhou Bay was selected as the study area. The SWAT+ model and graph theory method were employed to analyze the hydrological connectivity of the river and lake system interconnection network under two scenarios, with and without the canal. This was done to explore the differences in the impacts of canals on the various river basins, as well as on different types of water bodies, such as lakes, low-flow streams and high-flow streams. The results of the study indicate the following: in comparison to other river basins, the hydrological connectivity of the Weihe River Basin and the Mihe River Basin is greater under the no-canal scenario, with the lowest degree of influence from the canal. The Yellow River - the Guangli River Basin and the Dagu River – the Jiaolai River Basin are influenced by the canal, and the greatest improvement is observed, with the values of betweenness centrality and closeness centrality indicators both increasing by more than 20 times. The impact of canals on the hydrological connectivity of diverse basins is largely contingent upon river network structure, the number and the location of canal connections. Low-flow streams exhibits the highest value of closeness centrality indicator, which is 3.4 times and 1.5 times the average value of lakes and high-flow streams, respectively. Lakes is the most affected by the canal, while low-flow streams is the least affected. This suggests that the lower the disturbance-resistant capacity of the water body, the more sensitive it is to the canal"s response. The impact of canals on different water body types is dominated by the distance of the water body from the central water bodies of the network. The planning of regional river and lake system interconnection networks should take into account growth mechanisms, including "preferential attachment" of betweenness centrality and anti-" preferential attachment" of closeness centrality. This will enable a more appropriate avoidance of the risk of unintended growth in hydrological connectivity.

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  • 收稿日期:2024-10-19
  • 最后修改日期:2024-11-25
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  • 在线发布日期: 2025-02-21
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