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Application of frequency ratio model for the establishment of the landslide susceptibility map in Quang Binh

Bui Van Binh 1, 2, *
Bui Truong Son 1, 2
Nguyen Thi Nu 1, 2
  1. Department of Engineering Geology, Hanoi University of Mining and Geology, Vietnam
  2. Researching group of Engineering Geology and Geo-environment, Hanoi University of Mining and Geology, Vietnam
Correspondence to: Bui Van Binh, Department of Engineering Geology, Hanoi University of Mining and Geology, Vietnam; Researching group of Engineering Geology and Geo-environment, Hanoi University of Mining and Geology, Vietnam. Email: [email protected].

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This article is published with open access by Viet Nam National University, Ho Chi Minh City, Viet Nam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The frequency ratio method has been widely applied in establishing the landslide susceptibility maps for many regions in Vietnam and around the world. This method has shown a reasonable reliability in assessing landslide susceptibility. In this study, the frequency ratio model was chosen to assess a landslide susceptibility map in Quang Binh. Data used for the purpose of landslide assessment include landslide inventory, Geological lithology, fault density, maximum 3-month average rainfall, slope, elevation, aspect, NDVI, horizontal cleavage density, deep cleavage density, and distance from the road. The landslide susceptibility map was established based on the frequency ratio model based on the integration of the weights of all influencing factors using the spatial analysis tool in ArcGIS 10.5. The landslide susceptibility level is divided into 5 different levels such as very weak, weak, medium, high, and very high. The reliability of the research results was evaluated based on the AUC curve. The AUC values for training and testing the model are 91.2% and 84.6%, respectively.

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