摘要
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.
作者
杨志
冯民权
YANG Zhi;FENG Minquan(Institute of Resources,Environment and Ecology,Tianjin Academy of Social Sciences,Tianjin 300191,China;State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China,Xi'an University of Technology,Xi'an 710048,China)
出处
《水资源保护》
CAS
CSCD
北大核心
2020年第4期52-59,共8页
Water Resources Protection
基金
国家水体污染控制与治理科技重大专项(2015ZX07204-002)
天津社会科学院青年课题(20YQN-06)。
关键词
图论
强人工干扰流域
格网状水系
综合连通性
闸坝系统
graph theory
basin with strong artificial disturbance
reticulate river network
comprehensive connectivity
gate and dam systems
