The Effect of Grass Cover on Slope Erosion and Rill Morphology Characteristics: Based on Observations From Indoor Simulated Rainfall Experiments

ABSTRACT Although vegetation is widely recognised for its ability to reduce slope erosion, the specific characteristics of changes in rill morphology parameters on grass cover ( Vc ) slopes remain incompletely understood. Furthermore, accurately predicting soil erosion rates on Vc slopes is crucial for assessing soil erosion and developing predictive models. This study investigated the variation characteristics of erosion and rill morphology parameters on Vc slopes through indoor artificial rainfall simulation experiments. The results indicate: (1) Vc markedly suppresses slope erosion; relative to bare slopes, mean runoff rates on Vc slopes decreased by 20.70%–35.61%, and mean erosion rates decreased by 30.28%–90.50%. (2) The width, depth, density, fractal dimension and fragmentation of rills all exhibited a decreasing trend with increasing Vc . Conversely, the width‐to‐depth ratio of rills initially decreased then increased with increasing Vc , with this transition occurring within the 30%–40% Vc range. (3) Among the morphological parameters, rill density best characterises soil erosion in this study. Furthermore, the slope erosion rate prediction equation developed using rainfall intensity, slope gradient, Vc and rill density demonstrated high accuracy and predictive efficacy. The findings may provide useful insights for constructing soil erosion prediction models for slopes on the Loess Plateau.

Authors

Institutions

Publication Details

Journal
Land Degradation and Development
Published
2026-06-09
DOI
https://doi.org/10.1002/ldr.70715
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

The Effect of Grass Cover on Slope Erosion and Rill Morphology Characteristics: Based on Observations From Indoor Simulated Rainfall Experiments

Zeyu Xu, Yongxin Ni, Xizhi Lv, Yi-Xiang Wang et al.
Land Degradation and Development
Soil erosion and sediment transport
article

The Effect of Grass Cover on Slope Erosion and Rill Morphology Characteristics: Based on Observations From Indoor Simulated Rainfall Experiments

Zeyu Xu, Yongxin Ni, Xizhi Lv, Yi-Xiang Wang, Shu Xu, Hengshuo Zhang, Jie Lu, Li Ma, Shuai Wang, Qiufen Zhang
article en

Abstract

ABSTRACT Although vegetation is widely recognised for its ability to reduce slope erosion, the specific characteristics of changes in rill morphology parameters on grass cover ( Vc ) slopes remain incompletely understood. Furthermore, accurately predicting soil erosion rates on Vc slopes is crucial for assessing soil erosion and developing predictive models. This study investigated the variation characteristics of erosion and rill morphology parameters on Vc slopes through indoor artificial rainfall simulation experiments. The results indicate: (1) Vc markedly suppresses slope erosion; relative to bare slopes, mean runoff rates on Vc slopes decreased by 20.70%–35.61%, and mean erosion rates decreased by 30.28%–90.50%. (2) The width, depth, density, fractal dimension and fragmentation of rills all exhibited a decreasing trend with increasing Vc . Conversely, the width‐to‐depth ratio of rills initially decreased then increased with increasing Vc , with this transition occurring within the 30%–40% Vc range. (3) Among the morphological parameters, rill density best characterises soil erosion in this study. Furthermore, the slope erosion rate prediction equation developed using rainfall intensity, slope gradient, Vc and rill density demonstrated high accuracy and predictive efficacy. The findings may provide useful insights for constructing soil erosion prediction models for slopes on the Loess Plateau.

Land Degradation and Development
Zhengzhou University (CN), Yellow River Institute of Hydraulic Research (CN)
National Natural Science Foundation of China, Natural Science Foundation of Henan Province
Life in Land
Openalex Percentile: Top 9%
Soil erosion and sediment transport
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.