Landslide Susceptibility Mapping by Combining the Analytical Hierarchy Process and Regional Frequency Analysis Methods: A Case Study for Quangngai Province (Vietnam)

Abstract

Landslide is a common disaster occurring in many places, especially in those areas with extreme rainfall and terrain slope, which includes Vietnam. According to “Vietnam special report on managing the risks of extreme events and disasters to advance climate change adaptation”, Northern mountainous and Central Coast areas are place which serious landslides often occur, damaging people, property and disrupting traffic. Therefore, researching and developing landslide susceptibility maps wound provide effectively supporting tool for forecasting and managing disaster, ensuring for sustainable development of study areas. This study focused on developing landslide susceptibilities for mountainous areas of Quang Ngai province by investigating major impact factors, includes extreme rainfall (obtained from Regional Frequency Analyst), soil, land covers, vegetation densities (NDVI) and terrain slope using GIS-based toolkit (SAGA) with estimated weight from Analytical Hierarchy Process (AHP). The obtained results have identified areas of landslide susceptibility at different levels corresponding to distinct scenarios. These results can be used a scientific basis for authorities to consult and apply in disaster management and mitigation.