Experimental Investigation on Effect of Vegetation Distribution Pattern on Hydraulic Characteristics of Overland Flow

ABSTRACT The vegetation distribution pattern is crucial for controlling soil erosion on slopes. However, the effects of varying vegetation column ( b ) and row ( d ) spacings on the hydraulic characteristics remain underexplored. To address this, 216 indoor scour experiments were conducted under controlled variations in b and d (0.01–0.09 m), flow discharge ( Q , 0.3–1.0 L/s) and slope gradient ( θ , 15°–45°). Results showed that overland flow consistently remained in the supercritical transition regime. The flow regime was influenced collectively by b , d , θ and Q . Form resistance dominated the total flow resistance, accounting for more than 80%, and its proportion ( P ) decreased with increasing b or d , but increased with higher θ . Variations in d exerted a greater influence on P than those in b . The flow resistance coefficient ( f ) decreased with increasing b or d , but this effect weakened at higher θ or Q . On gentle slopes, increasing b or d amplified the effect of Re on f , whereas this influence diminished on steeper slopes. The relationships of f with b , d and Re were effectively described by power functions. A predictive model for f , incorporating b , d , Re , θ and grass stem diameter, was developed and showed consistent accuracy across all datasets ( R 2 > 0.820). These results support optimised vegetation designs for effective erosion control.

Authors

Institutions

Publication Details

Journal
Hydrological Processes
Published
2025-08-01
DOI
https://doi.org/10.1002/hyp.70234
Citations
1
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
1.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Investigation on Effect of Vegetation Distribution Pattern on Hydraulic Characteristics of Overland Flow

Li Yang, Jianwei Xu, Chengzhi Xiao, Nan Du et al.
1 citations
Hydrological Processes
Soil erosion and sediment transport
1.19
article

Experimental Investigation on Effect of Vegetation Distribution Pattern on Hydraulic Characteristics of Overland Flow

Li Yang, Jianwei Xu, Chengzhi Xiao, Nan Du, Xiang Liu, Zhu Nan, Zihan Wang
article en
1 citations

Abstract

ABSTRACT The vegetation distribution pattern is crucial for controlling soil erosion on slopes. However, the effects of varying vegetation column ( b ) and row ( d ) spacings on the hydraulic characteristics remain underexplored. To address this, 216 indoor scour experiments were conducted under controlled variations in b and d (0.01–0.09 m), flow discharge ( Q , 0.3–1.0 L/s) and slope gradient ( θ , 15°–45°). Results showed that overland flow consistently remained in the supercritical transition regime. The flow regime was influenced collectively by b , d , θ and Q . Form resistance dominated the total flow resistance, accounting for more than 80%, and its proportion ( P ) decreased with increasing b or d , but increased with higher θ . Variations in d exerted a greater influence on P than those in b . The flow resistance coefficient ( f ) decreased with increasing b or d , but this effect weakened at higher θ or Q . On gentle slopes, increasing b or d amplified the effect of Re on f , whereas this influence diminished on steeper slopes. The relationships of f with b , d and Re were effectively described by power functions. A predictive model for f , incorporating b , d , Re , θ and grass stem diameter, was developed and showed consistent accuracy across all datasets ( R 2 > 0.820). These results support optimised vegetation designs for effective erosion control.

Hydrological ProcessesVol. 39(8)
Hebei University of Technology (CN), Tianjin Ganghang Installation Engineering (China) (CN), Chengdu Surveying Geotechnical Research Institute (CN), Ministry of Transport (CN), Shanghai Harbour Engineering Design & Research Institute (CN)
National Natural Science Foundation of China, Hebei Province Graduate Innovation Funding Project
Life in Land
Openalex Percentile: Top 18%
Soil erosion and sediment transport
1.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.