Evidence map›Paper›PMID 40169659›Full record

ArticleScientific reports2025

Impact of mixed-height vegetation patches on energy loss in open-channel flow.

Zixin Yang, Xiaonan Tang, Fengping Li, Jiahong Liu, Hao Wang, Jia Wang, Changhai Li, Baoshan Fan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zixin YangKey Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Changchun, China.
Xiaonan TangDepartment of Civil Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China. Xiao.Tang@xjtlu.edu.cn.
Fengping LiKey Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Changchun, China. fpli@jlu.edu.cn.
Jiahong LiuState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Hao WangState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Jia WangState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Changhai LiKey Laboratory of Groundwater Resources and Environment (Jilin University), Ministry of Education, Changchun, China.
Baoshan FanResearch Center On Cold Region Engineering, Ministry of Water Resources, Changchun, 130061, China.

Funding

Chinese National Key Research and Development Program 2022YFE0205200the IWHR Research & Development Support Program WR110145B0022022the National Natural Science Foundation of China 52192671the Research Fund of the State Key Laboratory of Simulation and Regulation of Water Cycle in River Basins SKL2022TS11
6 · The paper itself

Abstract

This study investigates the influence of riparian vegetation on energy losses in open-channel flow, focusing on channels partially covered by mixed-height vegetation patches, a common feature in natural rivers and canals. While previous research has primarily focused on flow resistance in fully vegetated channels, there has been limited attention to channels with unevenly distributed vegetation patches. To address this gap, we developed an innovative experimental approach to evaluate energy loss in channels with mixed-height vegetation patches under different submergence conditions. The experimental setup involved a channel partially covered with vegetation of varying heights, mimicking the natural, uneven distribution of vegetation patches. The results provided key insights into flow velocity distribution and turbulence intensity under these conditions. Furthermore, we introduced a standardized conceptualization method for the submergence ratio, specifically the concept of effective height ([Formula: see text]), to standardize the calculation methods for submerged and emergent vegetation.Using this parameter, we derived a theoretical formula for calculating energy loss caused by vegetation patches, which closely matched the experimental data. This method offers a reliable framework for calculating hydraulic resistance in channels with uneven vegetation distribution.

Identifiers

PMID40169659
PMCPMC11961740

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.