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JDR Vol.16 No.4 pp. 521-528
(2021)
doi: 10.20965/jdr.2021.p0521

Paper:

Landslide Susceptibility Mapping Based on the Combination of Bivariate Statistics and Modified Analytic Hierarchy Process Methods: A Case Study of Tinh Tuc Town, Nguyen Binh District, Cao Bang Province, Vietnam

Nguyen Trung Kien*,†, The Viet Tran**, Vy Thi Hong Lien*, Pham Le Hoang Linh***, and Nguyen Quoc Thanh*

*Institute of Geological Sciences, Vietnam Academy of Science and Technology
Lane 84, Chua Lang Street, Dong Da, Hanoi, Vietnam

Corresponding author

**Department of Civil Engineering, Thuyloi University, Hanoi, Vietnam

***Institute of Ecology and Works Protection, Hanoi, Vietnam

Received:
November 30, 2020
Accepted:
January 28, 2021
Published:
June 1, 2021
Keywords:
landslide susceptibility map, bivariate statistics, landslide susceptibility analysis (LSA), modified analytic hierarchy process, Tinh Tuc town
Abstract

Tinh Tuc town, Cao Bang province, Vietnam is prone to landslides due to the complexity of its climatic, geological, and geomorphological conditions. In this study, in order to produce a landslide susceptibility map, the modified analytical hierarchy process and landslide susceptibility analysis methods were used together with the layers, including: landslide inventory, slope, weathering crust, water storage, geology, land use, and distance from the road. In the study area, 98% of landslides occurred in highly or completely weathered units. Geology, land use, and water storage data layers were found to be important factors that are closely related with the occurrence of landslides. Although the weight of the “distance from the road” factor has a low value, the weight of layer “<100 m” has a high value. Therefore, the landslide susceptibility index very high is concentrated along the roads. For the validation of the predicted result, the landslide susceptibility map was compared with the landslide inventory map containing 47 landslides. The outcome shows that about 90% of these landslides fall into very high susceptibility zones.

Cite this article as:
Nguyen Trung Kien, The Viet Tran, Vy Thi Hong Lien, Pham Le Hoang Linh, and Nguyen Quoc Thanh, “Landslide Susceptibility Mapping Based on the Combination of Bivariate Statistics and Modified Analytic Hierarchy Process Methods: A Case Study of Tinh Tuc Town, Nguyen Binh District, Cao Bang Province, Vietnam,” J. Disaster Res., Vol.16, No.4, pp. 521-528, 2021.
Data files:
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Last updated on Jun. 22, 2021