Landslide susceptibility assessment for warning of dangerous areas in Tan Uyen district, Lai Chau province, Vietnam

ABSTRACT

This paper presents the results of applying GIS–MCA–AHP integrated model in landslide susceptibility assessment for warning of dangerous areas in the Tan Uyen district of Vietnam. The main research method is a Multi-criteria assessment that is based on a hierarchical analysis process and a combination of the GIS spatial analysis model. Research results have shown four main groups of factors causing landslides including hydrogeological factors, topographic and geomorphological factors, surface cover factors and human impact factors. The landslide susceptibility assessment map has identified 22.69% of the area (204.96 km²) with a high and very high risk of landslides. Based on the overlapping population distribution map and landslide susceptibility assessment map. It has been shown that residential areas, including 723 households located at a high risk of landslides need to be moved to a safe area. This is a very significant research direction in a warning and minimizing the risk of landslides in mountainous areas of Vietnam.

KEYWORDS:

• Landslide
• warning
• GIS
• mountainous areas
• Tan Uyen

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Lap Quoc Kieu

Lap Quoc Kieu, born on August 2, 1982, graduated with a PhD, majoring in Map Engineering and Geographic Information Systems from China University Of Geosciences, 2014, Lecturer, researcher at Thai Nguyen University of Science, Research direction: Application of GIS, Remote sensing in Geographical research, mountainous disaster management.

Gioi Van Ngo

Gioi Ngo Van, Associate Professor, Dr, was born on September 4, 1980. Majored in Environmental Science. Working agency: Thai Nguyen University of Science, Vietnam.