Laboratory model test study of the hydrological effect on granite residual soil slopes considering different vegetation types

Chen, Jie; Lei, Xuewen; Zhang, Hanlin; Lin, Zhi Qing; Wang, Hui; Hu, Wei

doi:10.1038/s41598-021-94276-4

Cited by 14 publications

(8 citation statements)

References 73 publications

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“…Plant canopies reduce the surface runoff by intercepting rainfall and reduce splash erosion caused by rainfall (Mendes et al, 2021). Plant roots improve soil stability and infiltration capacity (Chen et al, 2021). Litter increases the surface roughness, absorbs moisture, reduces raindrop splash erosion, and reduces the runoff velocity (Du et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Litter increases the surface roughness, absorbs moisture, reduces raindrop splash erosion, and reduces the runoff velocity (Du et al, 2019). Plant stems and leaves can intercept the sediment, thereby reducing the amount of eroded sediment (Chen et al, 2021). Liang et al (2020) revealed that sediment reduction was more significant than runoff reduction when the slope was covered with vegetation.…”

Section: Effects Of Different Vegetation Patterns On Runoff and Sedim...mentioning

confidence: 99%

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Vegetation patterns affect soil aggregate loss during water erosion

Zhao,

Shi,

Bai

et al. 2023

Land Degrad Dev

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Soil aggregates are important for improving the soil quality and structure. Soil erosion causes the fragmentation and migration of soil aggregates. Vegetation restoration is an effective method for controlling soil erosion, and the vegetation distribution on the slope changes the hydrological processes. However, there is a dearth of studies investigating the regulation of vegetation patterns in relation to soil aggregate loss. This study employed a physical model of a slope gully system to examine the characteristics of soil aggregates loss during erosion processes under four distinct vegetation patterns: no vegetation (pattern A), up‐slope vegetation (pattern B), middle‐slope vegetation (pattern C), and down‐slope vegetation (pattern D), utilizing simulated rainfall experiments. The results showed that under various patterns of vegetation, the loss of soil aggregates is predominantly driven by microaggregates (<0.25 mm), A (65.2%) < B (72.4%) < C (77.7%) < D (87.7%). On the contrary, there is an opposite trend of change observed in macroaggregates(>0.25 mm). The vegetation pattern had different effects on the enrichment rate of aggregates in sediments: the enrichment ratio of macroaggregates decreased by 20.9%–64.7% and the enrichment ratio of microaggregates increased by 11.1%–34.5%. The cumulative loss of soil aggregates and the cumulative runoff volume can be described by a linear equation: y = ax + b, where ‘a’ denotes the rate of soil aggregate loss. Vegetation patterns had the capacity to decrease the rate of macroaggregate loss. Among these patterns, pattern D exhibits the lowest rate, followed by patterns C, B, and A. These results indicated that down‐slope vegetation pattern is effective in reducing the loss of soil aggregates especially macroaggregates.

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Section: Discussionmentioning

confidence: 99%

Section: Effects Of Different Vegetation Patterns On Runoff and Sedim...mentioning

confidence: 99%

Vegetation patterns affect soil aggregate loss during water erosion

Zhao,

Shi,

Bai

et al. 2023

Land Degrad Dev

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“…Laboratory tests have also been conducted to study the effects of vegetation on the hydrology of slope stability. For example, Chen et al (2021) and Qin et al (2022) discussed how the vegetation type can induce different hydrological effects on the permeability and water storage capacity of slope soil, improving the erosion resistance and so playing a suitable and not negligible role in slope stability response. Yildiz et al (2019), based on the results of experiments on root-permeated specimens in an inclinable large-scale direct shear apparatus, studied the contribution of plant-induced suction to shear strength for root-permeated soils, planted with combinations of different species.…”

Section: Understanding Landslide Hydrological Processes Through Exper...mentioning

confidence: 99%

Recent advancements of landslide hydrology

2023

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Occurrence of rainfall‐induced landslides is increasing worldwide, owing to land use and climate changes. Although the connection between hydrology and rainfall‐induced landslides might seem obvious, hydrological processes have been only marginally considered in landslide research for decades. In 2016, an advanced review paper published in WIREs Water [Bogaard and Greco (2016), WIREs Water, 3(3), 439–459] pointed out several challenging issues for landslide hydrology research: considering large‐scale hydrological processes in the assessment of slope water balance; including antecedent hydrological information in landslide hazard assessment; understanding and quantifying the feedbacks between deformation and infiltration/drainage processes; overcoming the conceptual mismatch of soil mechanics models and hydrological models. While little progress has been made on the latter two issues, a variety of studies have been published, focusing on the role of hydrological processes in landslide initiation and prediction. The importance of the identification of the origin of water to understand the processes leading to landslide activation is largely acknowledged. Techniques and methodologies for the definition of landslide catchments and for the assessment of landslide water balance are progressing fast, often considering the hydraulic effect of vegetation. The use of hydrological information in landslide prediction models has also progressed enormously. Empirical predictive tools, to be implemented in early warning systems for shallow landslides, benefit from the inclusion of antecedent soil moisture, extracted from different sources depending on the scale of the prediction, leading to significant improvement of their predictive skill. However, this kind of information is generally still missing in operational LEWS.This article is categorized under: Science of Water > Hydrological Processes

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“…An important issue in infrastructure construction is slope stability [ 1 , 2 , 3 ], which involves ecological restoration, economy and landscaping, and slope protection with vegetation technology [ 4 , 5 , 6 ], usually building green slopes by planting trees and grass between soil beams and frames. Slope micrometeorology determines the growth trend of the protection vegetation, which affects the stability of the slope [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Slope Micrometeorological Analysis and Prediction Based on an ARIMA Model and Data-Fitting System

Liu

Chen

Tang

et al. 2022

Sensors

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The rapid development of highway engineering has made slope stability an important issue in infrastructure construction. To meet the needs of green vegetation growth, ecological recovery, landscape beautification and the economy, long-term monitoring research on high-slope micrometeorology has important practical significance. Because of that, we designed and created a new slope micrometeorological monitoring and predicting system (SMMPS). We innovatively upgraded the cloud platform system, by adding an ARIMA prediction system and data-fitting system. From regularly sensor-monitored slope micrometeorological factors (soil temperature and humidity, slope temperature and humidity, and slope rainfall), a data-fitting system was used to fit atmospheric data with slope micrometeorological data, the trend of which ARIMA predicted. The slope was protected in time to prevent severe weather damage to the slope vegetation on a large scale. The SMMPS, which upgrades its cloud platform, significantly reduces the cost of long-term monitoring, protects slope stability, and improves the safety of rail and road projects.

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Laboratory model test study of the hydrological effect on granite residual soil slopes considering different vegetation types

Cited by 14 publications

References 73 publications

Vegetation patterns affect soil aggregate loss during water erosion

Vegetation patterns affect soil aggregate loss during water erosion

Recent advancements of landslide hydrology

Slope Micrometeorological Analysis and Prediction Based on an ARIMA Model and Data-Fitting System

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