Slope stability estimation using a Danger Level approach for monitoring landslide prone areas

Siti Nurbaidzuri Reli, Izham Mohamad Yusoff, Muhamad Uznir Ujang

Abstract


Slope stability evaluation is an essential element in assessing landslide hazards and ensuring the safe design of structures and infrastructure. There has been increased awareness of the need to give greater attention to these phenomena. However, there is no general rule for classifying safety factors of the slope. The factor of safety (FOS) is used globally to determine slope stability by identifying shear strength and shear stress. However, the FOS cannot become the only assessment to evaluate slope stability. This research focuses more on the infiltration of soil-water that reduces the strength of slopes based on the danger level (DL). DL is divided into four categories: low, moderate, high, and very high. To estimate slope stability, four main locations are set on the slope: P1 (highest point), P2, P3 and P4 (lowest point). The DL value is determined using FOS, a rainfall threshold, soil-water infiltration, and soil classification. The DL value for P1 is 0.567 (moderate risk), while the DL values for P2, P3, and P4 are 0.116, 0.073, and 0.095 (very high risk), respectively, indicating that this slope is hazardous. Determining hazardous slope points will be easier, as DL has classified specific slope locations with exact risk values.

Keywords: Danger Level (DL), Factor of Safety (FOS), landslide, rainfall, slope stability, soil-water infiltration


Keywords


Danger Level (DL); Factor of Safety (FOS); landslide; rainfall; slope stability; soil-water infiltration

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Alexandra, W., Barbara, T., Ning, L., Aziz, K., & Jonathan W. G. (2019). Hydrological Behavior of an Infiltration-Induced Landslide in Colorado, USA. Geofluids, 2019, 213-222.

Biondi, G., Cascone, E., Magueri, M., & Motta, E. (2000). Seismic response of saturated cohesionless slopes. Soil Dynamics and Earthquake Engineering, 20(1–4), 209-215.

Borges, R. G., Lima, A. C., & Kowsmann, R. O. (2015). Areas susceptible to landsliding on the continental slope. In: Kowsmann, R.O., editor. Geology and Geomorphology. Rio de Janeiro: Elsevier. Habitats, 1, 99-136.

Borja, R. I., & White, J. A. (2010). Continuum deformation and stability analyses of a steep hillside slope under rainfall infiltration. Acta Geotechnica, 5(1), 1–14.

Casagli, N., Dapporto, S., Ibsen, M., Tofani, V., & Vannocci, P. (2005). Analysis of the landslide triggering mechanism during the storm of 20th–21st November 2000, in Northern Tuscany. Landslides, 3(1), 13–21.

Chikalamo, E. E., Mavrouli, O. C., Ettema, J., van Westen, C. J., Muntohar, A. S., & Mustofa, A. (2020). Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia. International Journal of Applied Earth Observation and Geoinformation, 89, 102093. https://doi.org/10.1016/ j.jag.2020.102093.

Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied Hydrology. New York, McGraw-Hill.

Cruden, D. M., & Varnes, D. J. (1996). Landslide types and processes. In: Turner A. K.; Shuster R.L. (eds) Landslides: Investigation and Mitigation. Transportation Research Board, 1996, Special Report 247, 36–75.

Downer, C. W., Ogden, F. L., Neidzialek, J., & Liu, S. (2005). GSSHA: A model for simulating diverse streamflow generating processes. In V. P. Singh and D. Frevert (eds.). Watershed models, CRC Press.

Fabrizio de Luiz, R. L., Maria, C. V. G., & Fabiana, S. F. (2020). Evaluation of shallow landslide susceptibility and Factor of Safety variation using the TRIGRS model, Serra do Mar Mountain Range, Brazil, Journal of South American Earth Sciences, 107, 103011.

Gariano, S. L., & Guzzetti, F. (2016). Landslides in a changing climate. Earth-Science Reviews 162, 227-252.

Glade, T., Crozier, M., & Smith, P., (2000). Applying Probability Determination to Refine Landslide-triggering Rainfall Thresholds Using an Empirical “Antecedent Daily Rainfall Model”. Pure Applied Geophysics, 157(6–8), 1059–1079.

Green, W. H., & Ampt, G. A. (1911). Studies on soil physics: Part I. The flow of air and water through soils. Journal of Agricultural Science, 1911(4), 1–24.

Griffiths, D. V., Huang, J., & Fenton, G. A. (2011). Probabilistic infinite slope analysis. Computers and Geotechnics, 38(4), 577–584.

Goepel, K. D. (2019). Comparison of Judgment Scales of the Analytical Hierarchy Process-A New Approach. International Journal of Information Technology & Decision Making, 18(2), 445-463.

Guo, Z., Chen, L., Gui, L., Du, J., Yin, K., & Do, H. (2020). Landslide displacement prediction based on variational mode decomposition and WA-GWO-BP model. Landslides, 17, 567-583.

Gutiérrez-Martín, A. (2020). A GIS-physically-based emergency methodology for predicting rainfall-induced shallow landslide zonation. Geomorphology, 359, 107121.

Hansen, A. (1984) Landslide hazard analysis, In: Slope Instability, (Eds.) Brunsden, D. and Prior, D. B., John Wiley and Sons, New York, 523–602.

Haque, U., da Silva, P. F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A., Wilopo, W., Andersen, P., Lu, P., Lee, J., Yamamoto, T., Keeling, D., Wu, J., & Glass, G. E. (2019). The human cost of global warming: Deadly landslides and their triggers (1995–2014). Science of The Total Environment, 682, 673-684.

Hidalgo, C., & Vega, J. (2014). Hazard estimation for landslides triggered by earthquakes and rainfall (Valle de Aburrá-Colombia). Revista EIA, 11(22), 103-117.

Hughes, D. A. (1998) Antecedent precipitation. In: Encyclopedia of Hydrology and Lakes.

Encyclopedia of Earth Science. Springer, Dordrecht.

Ivanov, V., Arosio, D., Tresoldi, G., Hojat, A., Zanzi, L., Papini, M., & Longoni, L. (2020). Investigation on the Role of Water for the Stability of Shallow Landslides-Insights from Experimental Tests. Water, 12, 1203.

Kang, S., Cho, S., Kim, B., & Go, G. (2020). Effects of Two-Phase Flow of Water and Air on Shallow Slope Failures Induced by Rainfall: Insights from Slope Stability Assessment at a Regional Scale. Water 12, 812.

Khalaj, S., Bahootoroody, F., Abaei, M., Bahootoroody, A., De Carlo, F., & Abbassi, R. (2020). A methodology for uncertainty analysis of landslides triggered by an earthquake. Computers and Geotechnics, 117, 1-13.

Kim, J., Lee, K., Jeong, S., & Kim, G. (2014). GIS-based prediction method of landslide susceptibility using a rainfall infiltration-groundwater flow model. Engineering Geology, 182, 63-78.

Liu, Q. Q., & Li, J. C. (2015). Effects of Water Seepage on the Stability of Soil-slopes, Procedia IUTAM, 17, 29-39.

Phoon, K. K. 2008. Numerical recipes for reliability analysis - a primer. In Reliability-based design in geotechnical engineering: computations and applications. Edited by K. K. Phoon. Taylor & Francis, New York, 1–75.

Pourkhosravani, A., & Kalantari, B. (2011). A Review of Current Methods for Slope Stability Evaluation. Electronic Journal of Geotechnical Engineering, 16, 1245-1254.

Pradhan, S. P., & Siddique, T. (2020). Stability assessment of landslide-prone road cut rock slopes in Himalayan terrain: A finite element method-based approach, Journal of Rock Mechanics and Geotechnical Engineering, 12(1), 59-73.

Rawls, W. J., Brakensiek, D. L., & Saxton, K. E. (1982). Estimation of soil-water properties. Transactions of the ASAE, 25(5), 1316–1320.

Stine, M. B. (2013). Fire as a Geomorphic Agent. Treatise on Geomorphology 12, 236-251.

Tian, Y., Xu, C., Ma, S., Xu, X., Wang, S., & Zhang, H. (2019). Inventory and spatial distribution of landslides triggered by the 8th August 2017 MW 6.5 Jiuzhaigou earthquake, China. Journal of Earth Science, 30(1), 206-217.

Travis, Q., Houston, S., Marinho, F., & Schmeeckle, M. (2009). Unsaturated Infinite Slope Stability Considering Surface Flux Conditions. Journal of Geotechnical and Geoenvironmental Engineering, 136, 963-974.

Tsai, T., Chen, H., & Yang, J. (2008). Numerical modelling of rainstorm-induced shallow landslides in saturated and unsaturated soils. Environmental Geology, 55(6), 1269– 1277.

Vahedifard, F., Mortezaei, K., Leshchinsky, B., Leshchinsky, D., & Lu, N. (2016). Role of suction stress on service state behavior of Geosynthetic-Reinforced Soil Structures. Transportation Geotechnics, 8, 45-56.

Van Westen, C. J., & Terlien, M. T. J. (1996). An approach to-wards deterministic landslide hazard analysis in GIS: a case study from Manizales (Colombia). Earth Surface Processes and Landforms, 21(9), 853-868.

Zêzere, J. L., Trigo, R. M., & Trigo, I. F. (2005). Shallow and deep landslides induced by rainfall in the Lisbon region (Portugal): assessment of relationships with the North Atlantic Oscillation. Natural Hazards Earth System Science, 5, 331–344.

Zhao, B., Dai, Q., Han, D., Dai, H., Mao, J., & Zhuo, L. (2019). Antecedent wetness and rainfall information in landslide threshold definition. Hydrology and Earth System Sciences Discussions, 1–26. https://doi.org/10.5194/hess-2019-150.




DOI: http://dx.doi.org/10.17576/geo-2021-1704-16

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