Developing a Landslide Susceptibility Map Using the Analytic Hierarchical Process in Ta Van and Hau Thao Communes, Sapa, Vietnam
Thi Thanh Thuy Le*,, The Viet Tran**, Viet Hung Hoang**, Van Truong Bui**, Thi Kien Trinh Bui*, and Ha Phuong Nguyen***
*Department of Water Resources Engineering, Thuyloi University
175 Tay Son Street, Dong Da District, Hanoi, Vietnam
**Department of Civil Engineering, Thuyloi University, Hanoi, Vietnam
***Institute of Civil Engineering, Thuyloi University, Hanoi, Vietnam
Landslides are considered one of the most serious problems in the mountainous regions of the northern part of Vietnam due to the special topographic and geological conditions associated with the occurrence of tropical storms, steep slopes on hillsides, and human activities. This study initially identified areas susceptible to landslides in Ta Van Commune, Sapa District, Lao Cai Region using Analytical Hierarchy Analysis. Ten triggering and conditioning parameters were analyzed: elevation, slope, aspect, lithology, valley depth, relief amplitude, distance to roads, distance to faults, land use, and precipitation. The consistency index (CI) was 0.0995, indicating that no inconsistency in the decision-making process was detected during computation. The consistency ratio (CR) was computed for all factors and their classes were less than 0.1. The landslide susceptibility index (LSI) was computed and reclassified into five categories: very low, low, moderate, high, and very high. Approximately 9.9% of the whole area would be prone to landslide occurrence when the LSI value indicated at very high and high landslide susceptibility. The area under curve (AUC) of 0.75 illustrated that the used model provided good results for landslide susceptibility mapping in the study area. The results revealed that the predicted susceptibility levels were in good agreement with past landslides. The output also illustrated a gradual decrease in the density of landslide from the very high to the very low susceptible regions, which showed a considerable separation in the density values. Among the five classes, the highest landslide density of 0.01274 belonged to the very high susceptibility zone, followed by 0.00272 for the high susceptibility zone. The landslide susceptibility map presented in this paper would help local authorities adequately plan their landslide management process, especially in the very high and high susceptible zones.
-  E. C. Spiker and P. L. Gori, “National Landslide Hazards Mitigation Strategy – A Framework for Loss Reduction (Circular 1244),” U.S. Geological Survey, 64pp., 2003.
-  F. Nadim, “Words into Action Guidelines: National Disaster Risk Assessment – Hazard specific risk assessment – Landslide Hazard and Risk Assessment,” 2017.
-  T. V. Tran, V. H. Hoang, H. D. Pham, and G. Sato, “Use of Scoops3D and GIS for the Assessment of Slope Stability in Three-Dimensional: A Case Study in Sapa, Vietnam,” Proc. of the Int. Conf. on Innovations for Sustainable and Responsible Mining (ISRM 2020), Vol.2, pp. 210-229, 2021.
-  T. T. T. Le and S. Kawagoe, “Evaluation of Landslide Susceptibility in Cau River Basin Using a Physical-Based Model under Impact of Climate Change,” Open J. Mod. Hydrol., Vol.9, No.1, pp. 1-19, 2019.
-  T. T. T. Le and S. Kawagoe, “Study on Landslide Category Base on Temporal-Spatial Characteristic Distribution in Northern Vietnam Using Satellite Images,” Int. J. GEOMATE, Vol.14, No.43, pp. 118-124, 2018.
-  L. Q. Hung, N. T. H. Van, P. V. Son, N. H. Nihn, N. Tam, and N. T. Huyen, “Landslide Inventory Mapping in Fourteen Northern Provinces of Vietnam: Achievements and Difficulties,” Proc. of the 4th World Landslide Forum (WLF 2017), Vol.1, pp. 501-510, 2014.
-  H. Goto, Y. Kumahara, S. Uchiyama, Y. Iwasa, T. Yamanaka, R. Motoyoshi, S. Takeuchi, S. Murata, and T. Nakata, “Distribution and Characteristics of Slope Movements in the Southern Part of Hiroshima Prefecture Caused by the Heavy Rain in Western Japan in July 2018,” J. Disaster Res., Vol.14, No.6, pp. 894-902, 2019.
-  M. Al-Umar, “GIS Based Assessment of Climate-Induced Landslide Susceptibility of Sensitive Marine Clays in the Ottawa Region, Canada,” Ph.D. Thesis, University of Ottawa, 2018.
-  C. Chalkias, M. Ferentinou, and C. Polykretis, “GIS-Based Landslide Susceptibility Mapping on the Peloponnese Peninsula, Greece,” Geosciences, Vol.4, No.3, pp. 176-190, 2014.
-  I. H. Witten, E. Frank, and M. A. Hall, “Data Mining: Practical Machine Learning Tools and Techniques,” 3rd Ed., Morgan Kaufmann Publishers, 2011.
-  D. T. Bui, O. Lofman, I. Revhaug, and O. Dick, “Landslide Susceptibility Analysis in the Hoa Binh Province of Vietnam Using Statistical Index and Logistic Regression,” Nat. Hazards, Vol.59, Article No.1413, 2011.
-  G. Metternicht, L. Hurni, and R. Gogu, “Remote Sensing of Landslides: An Analysis of the Potential Contribution to Geo-Spatial Systems for Hazard Assessment in Mountainous Environments,” Remote Sens. Environ., Vol.98, No.2-3, pp. 284-303, 2005.
-  D. T. Bui, “Modeling of Rainfall-Induced Landslide Hazard for the Hoa Binh Province of Vietnam,” Ph.D. Thesis, Norwegian University of Life Sciences, 2012.
-  D. T. Bui, T. A. Tuan, N.-D. Hoang, N. Q. Thanh, D. B. Nguyen, N. V. Liem, and B. Pradhan, “Spatial Prediction of Rainfall-Induced Landslides for the Lao Cai Area (Vietnam) Using a Hybrid Intelligent Approach of Least Squares Support Vector Machines Inference Model and Artificial Bee Colony Optimization,” Landslides, Vol.14, No.2, pp. 447-458, 2017.
-  T. L. Saaty and L. G. Vargas, “Hierarchical Analysis of Behavior in Competition: Prediction in Chess,” Behav. Sci., Vol.25, No.3, pp. 180-191, 1980.
-  R. W. Saaty, “The Analytic Hierarchy Process – What It Is and How It Is Used,” Math. Model., Vol.9, Nos.3-5, pp. 161-176, 1987.
-  T. L. Saaty, “Decision Making with the Analytic Hierarchy Process,” Int. J. Serv. Sci., Vol.1, No.1, pp. 83-98, 2008.
-  X. L. Truong, M. Mitamura, Y. Kono, V. Raghavan, G. Yonezawa, X. Q. Truong, T. H. Do, D. T. Bui, and S. Lee, “Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree,” Appl. Sci., Vol.8, No.7, Article No.1046, 2018.
-  D. T. Bui, B. Pradhan, O. Lofman, and I. Revhaug, “Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models,” Math. Probl. Eng., Vol.2012, Article No.974638, 2012.
-  D. T. Bui, B. Pradhan, O. Lofman, I. Revhaug, and O. B. Dick, “Landslide Susceptibility Assessment in the Hoa Binh Province of Vietnam: A Comparison of the Levenberg–Marquardt and Bayesian Regularized Neural Networks,” Geomorphology, Vol.171-172, pp. 12-29, 2012.
-  B. T. Pham, D. T. Bui and H. V. Pham, “Spatial Prediction of Rainfall Induced Landslides Using Bayesian Network at Luc Yen District, Yen Bai Province (Viet Nam),” Proc. of Int. Conf. on Earth Sciences and Sustainable Geo-Resources Development (ESASGD 2016), Environmental Issues in Mining and Natural Resources Development (EMNR) Session, pp. 161-170, 2016.
-  T. A. Tuan and N. T. Dan, “Research the Landslide Susceptibility and Zoning in the Son La Hydroelectricity Area by the Saaty’s Analytical Hiearchy Process (AHP),” Vietnam J. Earth Sci., Vol.34, No.3, pp. 223-232, 2012 (in Vietnamese).
-  M. D. Do and Q. K. Dang, “Interpretation of Landslide Danger at Deo Gio (Wind Pass) Area Ngan Son District, Bac Kan Province,” Vietnam Geotech. J., Vol.15, No.1, pp. 10-19, 2011.
-  D. V. Nha and D. N. Hai, “Landslide Susceptibility in Mai Chau District, Hoa Binh Province, Vietnam,” Vietnam Natl. Univ. J. Sci. Dev., Vol.13, No.3, pp. 416-426, 2015 (in Vietnamese).
-  M. N. Do, T. T. Dang, and M. D. Do, “Application of GIS and Analytic Hierarchy Process (AHP) Method to Establish Map of Landslide Susceptibility in Xin Man District, Ha Giang Province, Vietnam,” Vietnam Natl. Univ. J. Sci. – Earth Environ. Sci., Vol.32, No.28, pp. 206-216, 2016 (in Vietnamese).
-  T. T. H. Nguyen, “Assessing Conditions for Formation and Landslide Hazard in the Context of Climate Change in Quang Nam Province,” Ph.D. Thesis, Hanoi University of Education, 2017.
-  M. Papadakis and A. Karimalis, “Producing a Landslide Susceptibility Map Through the Use of Analytic Hierarchical Process in Finikas Watershed, North Peloponnese, Greece,” Am. J. Geogr. Inf. Syst., Vol.6, No.1A, pp. 14-22, 2017.
-  O. F. Althuwaynee, B. Pradhan, H.-J. Park, and J. H. Lee, “A Novel Ensemble Bivariate Statistical Evidential Belief Function with Knowledge-Based Analytical Hierarchy Process and Multivariate Statistical Logistic Regression for Landslide Susceptibility Mapping,” CATENA, Vol.114, pp. 21-36, 2014.
-  P. Kayastha, M. R. Dhital, and F. De Smedt, “Application of the Analytical Hierarchy Process (AHP) for Landslide Susceptibility Mapping: A Case Study from the Tinau Watershed, West Nepal,” Comput. Geosci., Vol.52, pp. 398-408, 2013.
-  B. Feizizadeh, M. Shadman Roodposhti, P. Jankowski, and T. Blaschke, “A GIS-Based Extended Fuzzy Multi-Criteria Evaluation for Landslide Susceptibility Mapping,” Comput. Geosci., Vol.73, pp. 208-221, 2014.
-  K. B. Dang, B. Burkhard, F. Müller, and V. B. Dang, “Modelling and Mapping Natural Hazard Regulating Ecosystem Services in Sapa, Lao Cai Province, Vietnam,” Paddy Water Environ., Vol.16, No.4, pp. 767-781, 2018.
-  Q. H. Le, “Report on Investigation and Establishment of Landslide and Rockslide Inventory Map at Scale 1:50,000 in Mountainous Area in Lao Cai Province,” 2014.
-  D. M. Nguyen and Q. H. Tran, “Feature of Large-Scale Landslide at Hau Thao Area, Sa Pa Town, Lao Cai Province,” P. D. Long and N. T. Dung (Eds.), “Geotechnics for Sustainable Infrastructire Development,” pp. 917-922, Springer, 2020.
-  T. Thomas, L. Christiaensen, Q. T. Do, and L. D. Trung, “Natural Disasters and Household Welfare: Evidence from Vietnam,” Policy Research Working Paper No.5491, The World Bank, 2010.
-  Department of Geology and Minerals of Vietnam, “Geological and Mineral Resources Map of Vietnam on 1:200,000, Kim Binh–Lao Cai Zone (F-48-VIII&F-48-XIV),” 2005.
-  Open Development Mekong, “Soil type of Vietnam,” 2016, https://data.opendevelopmentmekong.net/dataset/soil-types-in-vietnam?type=dataset [accessed September 10, 2020]
-  A. El Jazouli, A. Barakat, and R. Khellouk, “GIS-Multicriteria Evaluation Using AHP for Landslide Susceptibility Mapping in Oum Er Rbia High Basin (Morocco),” Geoenviron. Disasters, Vol.6, No.1, Article No.3, 2019.
-  E. E. Brabb, “Innovative Approaches to Landslide Hazard and Risk Mapping,” Proc. of the 4th Int. Symp. on Landslides, pp. 307-323, 1985.
-  Japan Aerospace Exploration Agency (JAXA), “High-Resolution Land Use and Land Cover Map of Mainland Vietnam,” 2016, https://www.eorc.jaxa.jp/ALOS/en/lulc/lulc_vnm_v2006.htm [accessed September 18, 2020]
-  A. Yalcin, “GIS-Based Landslide Susceptibility Mapping Using Analytical Hierarchy Process and Bivariate Statistics in Ardesen (Turkey): Comparisons of Results and Confirmations,” CATENA, Vol.72, No.1, pp. 1-12, 2008.
-  T. Danjo and T. Ishizawa, “Quantitative Evaluation of the Relationship Between Slope Gradient and Infiltration Capacity Based on a Rainfall Experiment Using Pit Sand,” J. Disaster Res., Vol.15, No.6, pp. 745-753, 2020.
-  H. Hong, W. Chen, C. Xu, A. M. Youssef, B. Pradhan, and D. T. Bui, “Rainfall-Induced Landslide Susceptibility Assessment at the Chongren Area (China) Using Frequency Ratio, Certainty Factor, and Index of Entropy,” Geocarto Int., Vol.32, No.2, pp. 139-154, 2017.
-  W. Chen, M. Panahi, and H. R. Pourghasemi, “Performance Evaluation of GIS-Based New Ensemble Data Mining Techniques of Adaptive Neuro-Fuzzy Inference System (ANFIS) with Genetic Algorithm (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO) for Landslide Spatial Modelling,” CATENA, Vol.157, pp. 310-324, 2017.
-  E. Nohani, M. Moharrami, S. Sharafi, K. Khosravi, B. Pradhan, B. T. Pham, S. Lee, and A. M. Melesse, “Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models,” Water, Vol.11, No.7, Article No.1402, 2019.
-  T. T. T. Le, S. Kawagoe, and R. Sarukkalige, “Estimation of Probable Maximum Precipitation at Three Provinces in Northeast Vietnam Using Historical Data and Future Climate Change Scenarios,” J. Hydrol. Reg. Stud., Vol.23, Article No.100599, 2019.
-  G. D. Hasekioğulları and M. Ercanoglu, “A New Approach to Use AHP in Landslide Susceptibility Mapping: A Case Study at Yenice (Karabuk, NW Turkey),” Nat. Hazards, Vol.63, No.2, pp. 1157-1179, 2012.
-  X. Robin, N. Turck, A. Hainard, N. Tiberti, F. Lisacek, J. C. Sanchez, M. Müller, S. Siegert, and M. Doering, “Display and Analyze ROC Curves – Version 1.16.2 (R Package version 4.0.3),” 95pp., 2020, https://cran.r-project.org/web/packages/pROC/pROC.pdf [accessed October 15, 2020]
-  Vietnam Institute of Geosciences and Mineral Resources (VIGMR), “Geology Hazard and Natural Disaster Warning Program,” Vietnam Inst. Geosci. Miner. Resour., 2014, http://canhbaotruotlo.vn/index.html [accessed August 27, 2020]
-  Q. K. Nguyen, “Landslide Hazard Assessment in Muonglay, Vietnam Applying GIS and Remote Sensing,” Ph.D. Thesis, Ernst-Moritz-Arndt University Greifswald, 2009.
-  H. M. Do and K. L. Yin, “Rainfall Threshold Analysis and Bayesian Probability Method for Landslide Initiation Based on Landslides and Rainfall Events in the Past,” Open J. Geol., Vol.8, No.7, pp. 674-696, 2018.