Geomechanics and Engineering

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Assessing landslide susceptibility along the Halong - Vandon expressway in Quang Ninh province, Vietnam: A comprehensive approach integrating GIS and various methods

  • Nguyen-Vu Luat (Gia Dinh University) ;
  • Tuan-Nghia Do (Faculty of Civil Engineering, Thuyloi University) ;
  • Lan Chau Nguyen (Faculty of Civil Engineering, University of Transportation and Communications) ;
  • Nguyen Trung Kien (Institute of Geological Sciences-Vietnam Academy of Science and Technology)
  • Received : 2023.05.08
  • Accepted : 2024.03.28
  • Published : 2024.04.25
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Abstract

A GIS-based landslide susceptibility mapping (LSM) was carried out using frequency ratio (FR), modified frequency ratio (M-FR), analytic hierarchy process (AHP), and modified analytic hierarchy process (M-AHP) methods to identify and delineate the potential failure zones along the Halong - Vandon expressway. The thematic layers of various landslide causative factors were generated for modeling in GIS, including geology, rainfall, distance to fault, distance to road, slope, aspect, landuse, density of landslide, vertical relief, and horizontal relief. In addition, a landslide inventory along the road network was prepared using data provided by the management department during the course of construction and operation from 2017 to 2019, when many landslides were documented. The validation results showed that the M-FR method had the highest AUC value (AUC = 0.971), which was followed by the FR method with AUC = 0.961. The AUC values were 0.939 and 0.892 for the M-AHP and AHP methods, respectively. The generated LSM obtained from M-FR method classified the study area into five susceptibility classes: very low (0), low (0-1), moderate (1-2), high (2-3), and very high (3-4) classes, which could be useful for various stakeholders like planners, engineers, designers, and local public for future construction and maintenance in the study area.

Keywords

Acknowledgement

This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 105.08-2020.25.

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