Slope location-based landslide vulnerability assessment

Landslide vulnerability assessment is fundamental to landslide risk management tasks. Most existing methodologies of landslide vulnerability assessment are raster-based and do not consider the exact landslide positions and possible impact areas, which inevitably makes the assessment result impracticable to a certain extent. In this paper, a slope location-based landslide vulnerability assessment model is proposed to take the advantages of GIS to address the problem. A case study of Shenzhen is carried out to verify the model. It can be concluded that the model improves the practicability and feasibility of the landslide vulnerability assessment results. This study may provide a reference for relative studies on landslide vulnerability assessment.

[1]  Yuan Tian,et al.  A static and dynamic factors-coupled forecasting model of regional rainfall-induced landslides: A case study of Shenzhen , 2008 .

[2]  R. Fell.  Landslide risk assessment and acceptable risk , 1994 .

[3]  Thomas Glade,et al.  The Nature of Landslide Hazard Impact , 2012 .

[4]  Fausto Guzzetti,et al.  A geomorphological approach to the estimation of landslide hazards and risks in Umbria, Central Italy , 2002 .

[5]  Suzanne Lacasse,et al.  Quantitative vulnerability estimation for scenario-based landslide hazards , 2010 .

[6]  José Luís Zêzere,et al.  Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal) , 2008 .

[7]  Yu Liu,et al.  Human impact index in landslide susceptibility mapping , 2010, 2010 18th International Conference on Geoinformatics.

[8]  Stefania Pascale,et al.  A model for assessing the systemic vulnerability in landslide prone areas , 2010 .

[9]  Amir M. Kaynia,et al.  Probabilistic assessment of vulnerability to landslide: Application to the village of Lichtenstein, Baden-Württemberg, Germany , 2008 .

[10]  W. Shi,et al.  A new method of pseudo absence data generation in landslide susceptibility mapping with a case study of Shenzhen , 2010 .

[11]  Lun Wu,et al.  Effects of raster resolution on landslide susceptibility mapping: A case study of Shenzhen , 2008 .

[12]  Thomas Glade,et al.  Quantitative risk analysis for landslides ‒ Examples from Bíldudalur, NW-Iceland , 2004 .