摘要
以太湖流域典型分汊河道为例,构建河道二维水动力模型,研究平原河网分流比主要影响因素及其作用机理,并运用岭回归建立了平原河网分流比预测方程。结果表明:平原河网分流比与糙率、支汊过水宽度比、水位差呈正相关关系,与干流流量呈负相关关系,与分汊角度关系复杂;干流流量和支汊过水宽度比是影响分流比的主要因素;构建的多因素平原河网分流比综合预测方程可用于预测平原河网分汊河道分流比。
Taking the typical branching channel in Taihu basin as an example, a 2-D hydrodynamic model of river channel was constructed to study the main influencing factors and mechanism of flow diversion ratio in plain river networks, and a prediction equation of diversion ratio for plain river networks is established by ridge regression. The results show that the flow diversion ratio of plain river networks has a positive correlation with roughness, ratio of the width of the tributary to that of the main Channel and water level difference, while a negative correlation with the main stream discharge, and a complicated relationship with the branching angle. The discharge of the main stream and the ratio of the width of the tributary to that of the are two dominant factors of the flow diversion ratio. The multi-factor comprehensive prediction equation for the flow diversion ratio of plain river network can be used to predict the flow diversion ratio of braided rivers in plain river networks.
作者
王子悦
李一平
董志强
庄巍
翁晟琳
张靖林
WANG Ziyue;LI Yiping;DONG Zhiqiang;ZHUANG Wei;WENG Shenglin;ZHANG Jinglin(College of Environment,Hohai University,Nanjing 210098,China;Environemental Protection Bureau of Ningyang,Tai’an 271400,China;Nanjing Institute of Environmental Sciences,Ministry of Ecology and Environment,Nanjing 210042,China)
出处
《水资源保护》
CAS
CSCD
北大核心
2019年第4期49-54,75,共7页
Water Resources Protection
基金
国家重点研发计划(2017YFC0405203)
水体污染控制与治理科技重大专项(2017ZX07204003)
中央高校基本科研业务费专项(2018B48214)
国家自然科学基金(51539003)
宁夏回族自治区重点研发计划(20175046802)
关键词
分流比
平原河网
影响因素
岭回归
太湖流域
flow diversion ratio
plain rivers network
influencing factor
ridge regression
Taihu Lake Basin
