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1.智慧长江与水电科学湖北省重点实验室(中国长江电力股份有限公司),湖北 宜昌 443000
2.四川大学 灾后重建与管理学院,四川 成都 610065
3.四川大学 山区河流保护与治理全国重点实验室,四川 成都 610065
[ "单钰淇(1988—),女,副研究员,博士. 研究方向:水力学及河流动力学. E-mail:yuqi_shan@qq.com" ]
研究员,E-mail:liuchaoscu@vip.qq.com
收稿日期:2023-05-08,
修回日期:2023-07-27,
网络出版日期:2023-08-07,
纸质出版日期:2025-01-20
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Shan Yuqi,Gui Ziqin,Cao Hui,et al.Predictive method for the evolution of flow velocity in an open channel with a floating vegetation[J].Advanced Engineering Sciences,2025,57(1):21–28
单钰淇,桂子钦,曹辉,等.漂浮植被作用下河道水流流速沿程变化研究[J].工程科学与技术,2025,57(1):21–28 DOI: 10.15961/j.jsuese.202300346.
Shan Yuqi,Gui Ziqin,Cao Hui,et al.Predictive method for the evolution of flow velocity in an open channel with a floating vegetation[J].Advanced Engineering Sciences,2025,57(1):21–28 DOI: 10.15961/j.jsuese.202300346.
漂浮植被常见于明渠河道水面。漂浮植被可改变河道水流流速,影响植被吸收营养物效率。本文将漂浮植被作用下的明渠河道沿垂向划分为漂浮植被区和无植被区。在植被阻力作用下,水流进入漂浮植被区后不断调整,流速不断降低,直至水流充分发展后,水流流速稳定不变。将漂浮植被区的水流调整长度定义为漂浮植被前端至水流充分发展处的长度。基于指数衰减函数,建立了漂浮植被区水流流速沿程分布预测方法;在此基础上,联立水流连续方程,提出了漂浮植被下方无植被区的水流流速沿程分布预测方法。所提计算模型结构简单、易于应用,所有输入参数可由水流和植被条件确定。采用已有的试验资料检验计算模型,发现本文模型能够准确预测漂浮植被区和无植被区的流速沿程分布。研究可为河道水环境治理与生态修复提供技术支撑。
Floating canopies are often distributed in open channels
altering the flow velocity evolution and affecting the nutrient removal efficiency of floating vegetation. The flow in an open channel with a floating vegetation canopy is vertically divided into the vegetated region and the bare channel. As the flow enters a floating canopy
the flow along the canopy’s leading edge adjusts
and the in-canopy velocity continuously diminishes over the interior adjustment distance
X
D
due to vegetation drag. Beyond
X
D
(
x
>
X
D
)
the flow becomes fully developed
and the velocity remains constant. Inside a floating canopy
the interior adjustment distance
X
D
is defin
ed as the distance from the canopy’s leading edge to the position where the flow is fully developed. A model based on exponential decay and the flow continuity equation is proposed to predict the longitudinal profiles of streamwise velocities within and below a floating canopy. The proposed model does not include a calibration parameter
and all input parameters can be obtained from flow and vegetation conditions
which is advantageous for its application. Twelve groups of experimental data from various sources are utilized to verify the proposed model. The model accurately predicts the velocity evolution within and below the floating canopy of vegetation. This study proposes a predictive model for the longitudinal profiles of streamwise velocities in an open channel with a floating canopy
providing a theoretical basis for river ecological restoration and water resource management.
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