New Drag Force Formula of Bending Stems in Deriving Analytical Solutions of Velocity Profile for Flow Through Flexible Vegetation

IF 4.6 1区地球科学 Q2 ENVIRONMENTAL SCIENCES

Water Resources Research Pub Date : 2024-07-21 DOI:10.1029/2023wr035951

Jin-Jin Li, Wei-Jie Wang, Fei Dong, Wen-Qi Peng, Jing-Jing Fan, Han-Qing Zhao, Qing-Chuan Chou, Ai-Ping Huang

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引用次数: 0

Abstract

Investigations of water flow movements affected by vegetation is a research hotspot in vegetation ecological restoration. The theory and equations of the flow velocity distribution under the influence of rigid vegetation are relatively mature. This study proposes a new drag force equation that varies with the vegetation bending angle and a new analytical solution of the velocity profile. Comparisons between the model calculation and experimental data, results showed that this new proposed model produced accurate simulations for flow through flexible vegetation for various deflections. In addition, this analytical model was verified to be applicable to rigid vegetation without a bending angle. Moreover, the features of the parameters adopted in this analytical equation are discussed, and the empirical equation for these parameters are presented. This study further improves the research in the field of environmental fluid mechanics and can serve as a theoretical underpinning for the ecological restoration of river courses.

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推导柔性植被流速度曲线分析解时的弯曲茎杆新阻力公式

研究受植被影响的水流运动是植被生态修复的一个研究热点。刚性植被影响下的流速分布理论和方程相对成熟。本研究提出了一个随植被弯曲角度变化的新阻力方程和一个新的流速剖面解析解。模型计算结果与实验数据的比较结果表明，新提出的模型能准确模拟各种偏转情况下流经柔性植被的水流。此外，该分析模型还适用于无弯曲角的刚性植被。此外，还讨论了该分析方程所采用参数的特点，并给出了这些参数的经验方程。该研究进一步完善了环境流体力学领域的研究，可作为河道生态修复的理论基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Water Resources Research 环境科学-湖沼学

CiteScore

8.80

自引率

13.00%

发文量

599

审稿时长

3.5 months

期刊介绍： Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.