Abstract

This study aims to evaluate risk and discover the distribution law for landslides, so as to enrich landslide prevention theory and method. It first selected Fengjie County in the Three Gorges Reservoir Area as the study area. The work involved developing a landslide risk map using hazard and vulnerability maps utilizing landslide dataset from 2001 to 2016. The landslide dataset was built from historical records, satellite images and extensive field surveys. Firstly, under four primary conditioning factors (i.e., topographic factors, geological factors, meteorological and hydrological factors and vegetation factors), 19 dominant factors were selected from 25 secondary conditioning factors based on the GeoDetector to form an evaluation factor library for the LSM. Subsequently, the random forest model (RF) was used to analyze landslide susceptibility. Then, the landslide hazard map was generated based on the landslide susceptibility mapping (LSM) for the study region. Thereafter, landslide vulnerability assessment was conducted using key elements (economic, material, community) and the weights were provided based on expert judgment. Finally, when risk equals vulnerability multiplied by hazard, the region was categorized as very low, low, medium, high and very high risk level. The results showed that most landslides distribute on both sides of the reservoir bank and the primary and secondary tributaries in the study area, which showed a spatial distribution pattern of more north than south. Elevation, lithology and groundwater type are the main factors affecting landslides. Fengjie County landslide risk level is mostly low (accounting for 73.71% of the study area), but a small part is high and very high risk level (accounting for 2.5%). The overall risk level shows the spatial distribution characteristics of high risk in the central and eastern urban areas and low risk in the southern and northern high-altitude areas. Secondly, it is necessary to strictly control the key risk areas, and carry out prevention and control zoning management according to local conditions. The study is conducted for a specific region but can be extended to other areas around the investigated area. The developed landslide risk map can be considered by relevant government officials for the smooth implementation of management at the regional scale.

Highlights

  • Landslides are one of the most severe and common geological hazards in the world, being significantly widespread, catastrophic and destructive, prone to chain disasters, and mainly occurring in mountainous areas [1,2]

  • The results show that elevation, lithology, groundwater type, land cover, incision depth, elevation coefficient of variation, distance from rivers, distance from the fault, slope, relief degree of the land surface (RDLS), topographic wetness index (TWI), TRI, slope variability, plane curvature, curvature, micro-landform, Normalized Difference Vegetation Index (NDVI), profile curvature and aspect are relatively important

  • The study area is still divided into very low, low, medium, high and very high vulnerability areas by using the natural breakpoint method, and the map for Fengjie County landslide disaster vulnerability is obtained by mapping and synthesis (Figure 14)

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Summary

Introduction

Landslides are one of the most severe and common geological hazards in the world, being significantly widespread, catastrophic and destructive, prone to chain disasters, and mainly occurring in mountainous areas [1,2]. During the periods between 2004–2010, 2620 landslide events were recorded worldwide, causing a total of 32,322 fatalities [6]. In China, more than 25,000 people have died from landslides over the past 60 years, and up to $50 million a year of economic losses were caused by landslides [7]. This grim situation makes measures to prevent and forecast landslide disasters extremely urgent

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