Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides
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 pro...
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| Format: | Article |
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MDPI AG
2022-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/22/5743 |
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| author | Juanjuan Zhang Haijun Qiu Bingzhe Tang Dongdong Yang Ya Liu Zijing Liu Bingfeng Ye Wenqi Zhou Yaru Zhu |
| author_facet | Juanjuan Zhang Haijun Qiu Bingzhe Tang Dongdong Yang Ya Liu Zijing Liu Bingfeng Ye Wenqi Zhou Yaru Zhu |
| author_sort | Juanjuan Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T18:02:33Z |
| format | Article |
| id | doaj.art-f720bdd9ceb746729841467cbc654824 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:02:33Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f720bdd9ceb746729841467cbc6548242023-11-24T09:49:44ZengMDPI AGRemote Sensing2072-42922022-11-011422574310.3390/rs14225743Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow LandslidesJuanjuan Zhang0Haijun Qiu1Bingzhe Tang2Dongdong Yang3Ya Liu4Zijing Liu5Bingfeng Ye6Wenqi Zhou7Yaru Zhu8Shaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaShaanxi Key Laboratory of Earth Surface and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaRainfall-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.https://www.mdpi.com/2072-4292/14/22/5743landslide hazardsstability analysisvegetation coverrainy seasonLoess Plateau |
| spellingShingle | Juanjuan Zhang Haijun Qiu Bingzhe Tang Dongdong Yang Ya Liu Zijing Liu Bingfeng Ye Wenqi Zhou Yaru Zhu Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides Remote Sensing landslide hazards stability analysis vegetation cover rainy season Loess Plateau |
| title | Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides |
| title_full | Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides |
| title_fullStr | Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides |
| title_full_unstemmed | Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides |
| title_short | Accelerating Effect of Vegetation on the Instability of Rainfall-Induced Shallow Landslides |
| title_sort | accelerating effect of vegetation on the instability of rainfall induced shallow landslides |
| topic | landslide hazards stability analysis vegetation cover rainy season Loess Plateau |
| url | https://www.mdpi.com/2072-4292/14/22/5743 |
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