Comparison analytical hierarchy process (AHP) and frequency ratio (FR) method in assessment of landslide susceptibility. A case study in Van Yen district, Yen Bai province

  • Affiliations:

    1 Hanoi University of Civil Engineering, Hanoi, Vietnam
    2 Hanoi University of Natural Resources and Environment, Hanoi, Vietnam
    3 Hanoi University of Mining and Geology, Hanoi, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 9th-Dec-2022
  • Revised: 24th-Mar-2023
  • Accepted: 13th-Apr-2023
  • Online: 30th-Apr-2023
Pages: 79 - 90
Views: 973
Downloads: 30
Rating: 5.0, Total rating: 1
Yours rating

Abstract:

Landslides are a natural disasters that frequently occur in the northern mountainous region of Vietnam. This study aims to compare the efectiveness of the Analytical Hierarchy Process (AHP) and Frequency Ratio (FR) modeling in mapping susceptibility to landslides with the support of a Geographic Information System (GIS). The study area is Van Yen district in Yen Bai province, which experiences a high frequency of landslides annually. Ten factors were used as variables in the model, including the lithology map, slope, aspect, plan curvature, profile curvature, topographic wetness index, fault network, river network, road network, and land cover data. The study used a landslide statistical report that including 211 landslide points to create the frequency ratio model, while the pairwise comparison method based on expert opinion was used to establish the weights for the AHP method. The results produced a spatial distribution of landslide susceptibility with five levels: very low, low, moderate, high, and very high. The study used the Area Under the Curve (AUC) to evaluate the performance of both models. The results indicated that the model using the Frequency Ratio method outperformed the Analytical Hierarchy Process model by 4.7% in addition to the similarity between landslide susceptibility maps and past landslide locations.

How to Cite
Khuc, D.Thanh, Ha, H.Thi, Bui, P.Duc, Truong, Q.Xuan, Tran, A.Van, Pham, H.Quang, Tran, T.Dinh, Nguyen, C.Chi, Tran, H.Thi, Truong, A.Van and Tran, M.Hong Thi 2023. Comparison analytical hierarchy process (AHP) and frequency ratio (FR) method in assessment of landslide susceptibility. A case study in Van Yen district, Yen Bai province (in Vietnamese). Journal of Mining and Earth Sciences. 64, 2 (Apr, 2023), 79-90. DOI:https://doi.org/10.46326/JMES.2023.64(2).08.
References

Das, S., Sarkar, S., and Kanungo, D. P. (2023). GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya. Environmental Monitoring and Assessment, 194(4), 234. https: //doi. org/10.1007/s10661-022-09851-7.

Kayastha, P., Dhital, M. R., and De Smedt, F. (2013). Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal. Computers and Geosciences, 52, 398-408. https://doi.org/https://doi.org/10.1016/j. cageo.2012.11.003.

Khan, H., Shafique, M., Khan, M. A., Bacha, M. A., Shah, S. U., and Calligaris, C. (2019). Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan. The Egyptian Journal of Remote Sensing and Space Science, 22(1), 11-24. https://doi.org/10.1016 /j.ejrs.2018.03.004.

Khúc, T. Đ., Trần, Đ. T., Hà, T. H., Hà, T. K. (2021). Đánh giá tác động của lớp phủ đến nhiệt độ bề mặt đất và phân bố không gian nhiệt độ tại một số tuyến đường trên địa bàn thành phố Hà Nội bằng ảnh viễn thám. Tạp chí Khoa học Công nghệ Xây dựng (KHCNXD)-ĐHXDHN, 15(7V), 143-155.

Lee, J. J., Song, M. S., Yun, H. S., and Yum, S. G. (2023). Dynamic landslide susceptibility analysis that combines rainfall period, accumulated rainfall, and geospatial information. Scientific Reports, 12(1), 18429. https://doi.org/10.1038/s415 98-022-21795-z.

Lin, G. F., Chang, M. J., Huang, Y. C., and Ho, J. Y. (2017). Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression. Engineering Geology, 224, 62-74. https://doi. org/10.1016/j. enggeo.2017.05.009.

Tran, V. A., Truong, X. Q., Nguyen, D. A., Longoni, L., Yordanov, V., (2021). Landslides monitoring with time series of Sentinel-1 imagery in Yen Bai province-Vietnam. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch. 46, 197-203. https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-197-2021.

Trần, V. A., Nguyễn, A. B., Đinh, T., Nguyễn, T. H. Y., Lê, T. N., (2020). Xác định trượt lở đất khu vực huyện Bát Xát, tỉnh Lào Cai sử dụng chuỗi ảnh Radar ALOS PalSAR bằng phương pháp đường đáy ngắn (SBAS). Tạp chí Khoa học Kỹ thuật Mỏ - Địa chất 61, 1-10. https://doi.org/10.46326/ jmes.2020.61(4).01.

Trinh, P. T., Van Hieu, N., and Nguyen, X. T. (2021). Research and application of hydraulic 1D model to simulate flood season flow of Ngoi Thia river system. VNUHCM Journal of Earth Science and Environment, 5(SI2), SI120-SI133. https://doi.org/10.32508/ stdjsee.v5iSI2.626.

Wang, Y., Tang, H., Huang, J., Wen, T., Ma, J., and Zhang, J. (2023). A comparative study of different machine learning methods for reservoir landslide displacement prediction. Engineering Geology, 298, 106544. https://doi. org/10.1016/j.enggeo.2023.106544.

Xiao, T., Segoni, S., Chen, L., Yin, K., Casagli, N., (2020). A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches. Landslides 17, 627-640. https://doi.org/10.1007/s10346-019-01299-0.

Yordanov, V., Biagi, L., Truong, X. Q., Tran, V. A., and Brovelli, M. A. (2021). An overview of geoinformatics state-of-the-art techniques for landslide monitoring and mapping. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 46, 205-212. https://doi.org/ 10.5194/isprs-archives-XLVI-4-W2-2021-205-2021.