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Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides

Authors :
Juanjuan Zhang
Haijun Qiu
Bingzhe Tang
Dongdong Yang
Ya Liu
Zijing Liu
Bingfeng Ye
Wenqi Zhou
Yaru Zhu
Source :
Remote Sensing, Vol 14, Iss 22, p 5743 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Rainfall-induced shallow landslides are widespread throughout the world, and vegetation is frequently utilized to control them. However, in recent years, shallow landslides have continued to frequently occur during the rainy season on the vegetated slopes of the Loess Plateau in China. To better probe this phenomenon, we considered vegetation cover in the sensitivity analysis of landslide hazards and used the transient rainfall infiltration and grid-based regional slope stability (TRIGRS) model to quantitatively describe the impacts of different types of vegetation cover on slope stability. Based on the rainfall information for landslide events, the spatiotemporal distributions of the pore water pressure and the factor of safety of the vegetated slopes were inverted under the driving changes in the soil properties under different vegetation types, and the average prediction accuracy reached 79.88%. It was found that there was a strong positive correlation between the cumulative precipitation and the proportion of landslide-prone areas in woodland covered by tall trees, grassland covered by shrubs and grasses, and cultivated land. The highest landslide susceptibility, which has the greatest potential to hasten the occurrence of rainfall-induced landslides, is found in woodland with tall trees. Therefore, this paper proposes the promoting relationship between vegetation and landslide erosion, which provides a new scientific perspective on watershed management to prevent shallow landslide disasters and manage and develop watershed vegetation.

Details

Language :
English
ISSN :
14225743 and 20724292
Volume :
14
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.f720bdd9ceb746729841467cbc654824
Document Type :
article
Full Text :
https://doi.org/10.3390/rs14225743