将交通运输学中的图论模型和景观生态学中的网络分析方法引入流域连通性优化中，提出两种适用于强人工干扰流域格网状水系综合连通性量化的改进方法:网状水系连通性指数(reticulate connectivity index，RCI)法和河网综合连通性指数(comprehensive connectivity index，CCI)法，应用于清潩河流域连通性优化。结果表明:两种方法对单一闸坝重要性的量化在趋势上具有一致性，优化后清潩河流域CCI值从现状的26.13提高至38.34，连通性改善效果显著；改进后的RCI和CCI均可用于网状水系连通性的量化及恢复。
The graph theory model in transportation and the network analysis method in landscape ecology are introduced into the optimization of river basin connectivity. Two improved methods, the reticulate connectivity index(RCI)method and the comprehensive connectivity index(CCI)method, which are suitable for the quantification of comprehensive connectivity of reticulate river network with strong artificial disturbance, are proposed to optimize the connectivity of Qingyi River Basin. The results show that the two methods are consistent in the trend of quantification of the importance of a single gate or dam. After optimization, the CCI of Qingyi River Basin increased from 26.13 to 38.34, and the connectivity improves significantly. The improved RCI and CCI can be used to quantify and restore the connectivity of the reticulate river network.
杨志,冯民权.基于图论的强人工干扰流域综合连通性量化的改进方法[J].水资源保护,2020,36(4):52-59.(YANG Zhi, FENG Minquan. An improved method based on graph theory to quantify comprehensive connectivity of basins with strong artificial disturbance[J]. Water Resources Protection,2020,36(4):52-59.(in Chinese))复制