Assessment of the Rainfall-Induced Landslide Distribution

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrogeology".

Deadline for manuscript submissions: 25 July 2024 | Viewed by 696

Special Issue Editor


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Guest Editor
Institute of Cold Regions Science and Engineering, Northeast Forestry University, Harbin 150040, China
Interests: geohazard; landslide; permafrost; hydrological processes in cold regions; climate change; rainfall thresholds for landslide triggering; risk assessment

Special Issue Information

Dear Colleagues,

In recent decades, more land- and rainfall landslides have occurred around the world, which facilitate slope destabilization and have caused harm to human beings.  The study of rainfall landslides and the adoption of effective disaster prevention and mitigation measures are particularly urgent and have attracted extensive attention at home and abroad. However, the mechanism of rainfall-type landslides and stability analyses need to be further investigated using various methodologies, research objects (rainfall infiltration and destabilization processes), and data.

We invite submissions on a variety of topics, including, but not limited to, the following:

  1. The interaction of geotechnical bodies with water, changes in mechanical properties, and the characterization and generation of landslide deformation during rainfall infiltration on slopes;
  2. The evaluation of slope stability under rainfall infiltration conditions and the prediction of landslide development trends;
  3. The determination of thresholds for rainfall-induced landslides and the prediction of landslides;
  4. New methodologies or modeling tools used to study and predict landslide mechanisms;
  5. Uncertainty in rainfall landslide prediction and modeling;
  6. The impact assessment of rainfall-type landslide hazards under climate change and measures for disaster prevention and mitigation. 

Original research articles and reviews are strongly encouraged. I look forward to receiving your contributions.

Prof. Dr. Wei Shan
Guest Editor

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Keywords

  • rainfall-induced landslides
  • infiltration
  • numerical modelling
  • monitoring
  • early warning
  • mechanism
  • risk assessment
  • methods of disaster reduction

Published Papers (1 paper)

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Research

17 pages, 8685 KiB  
Article
Spatio-Temporal Prediction of Three-Dimensional Stability of Highway Shallow Landslide in Southeast Tibet Based on TRIGRS and Scoops3D Coupling Model
by Jiarui Mao, Xiumin Ma, Haojie Wang, Liyun Jia, Yao Sun, Bin Zhang and Wenhui Zhang
Water 2024, 16(9), 1207; https://doi.org/10.3390/w16091207 - 24 Apr 2024
Viewed by 536
Abstract
National Highway G559 is the first highway in Southeast Tibet into Motuo County, which has not only greatly improved the difficult situation of local roads, but also promoted the economic development of Tibet. However, rainfall-induced shallow landslides occur frequently along the Bomi–Motuo section, [...] Read more.
National Highway G559 is the first highway in Southeast Tibet into Motuo County, which has not only greatly improved the difficult situation of local roads, but also promoted the economic development of Tibet. However, rainfall-induced shallow landslides occur frequently along the Bomi–Motuo section, which seriously affects the safe operation and construction work of the highway. Therefore, it is urgent to carry out geological disaster assessment and zoning along the highway. Based on remote-sensing interpretation and field investigation, the distribution characteristics and sliding-prone rock mass of shallow landslides along the Bomi–Motuo Highway were identified. Three-dimensional stability analysis of regional landslides along the Bomi-Motuo Highway under different rainfall scenarios was carried out based on the TRIGRS and Scoops3D coupled model (T-S model). The temporal and spatial distribution of potential rainfall landslides in this area is effectively predicted, and the reliability of the predicted results is also evaluated. The results show that: (1) The slope structure along the highway is mainly composed of loose gravel soil on the upper part and a strong weathering layer of bedrock on the lower part. The sliding surface is mostly a circular and plane type, and the main failure types are creep–tensile failure and flexural–tensile failure. (2) Based on the T-S coupling model, it is predicted that the potential landslide along the Bomi–Motuo Highway in the natural state is scattered. The distribution area of extremely unstable and unstable areas accounts for 4.92% of the total area. In the case of extreme rainfall once in a hundred years, the proportion of instability area (Fs < 1) predicted by the T-S coupling model 1 h after rainfall is 7.74%, which is 1.57 times that of the natural instability area. The instability area (Fs < 1) accounted for 43.40% of the total area after 12 h of rainfall. The potential landslides were mainly distributed in the Bangxin–Zhamu section and the East Gedang section. (3) The TRIGRS and T-S coupling model is both suitable for predicting the temporal–spatial distribution of rainfall-induced shallow landslides, but the TRIGRS model has the problem of over-prediction. The instability area predicted by the T-S coupling model accounted for 43.30%, and 74% of the historical landslide disaster points in the area were correctly predicted. (4) In terms of rainfall response, the T-S coupling model shows higher sensitivity. The %LRclass (Fs < 1) index of the T-S coupling model is above 50% in different time periods, and its landslide-prediction effect (%LRclass = 78.80%) was significantly better than that of the one-dimensional TRIGRS model (%LRclass = 45.50%) under a 12 h rainfall scenario. The research results have important reference significance for risk identification and disaster reduction along the G559 Bomi–Motuo Highway. Full article
(This article belongs to the Special Issue Assessment of the Rainfall-Induced Landslide Distribution)
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