Mitigation of Landslide Impacts, Strategies and Challenges for the 21st Century

Robin Chowdhury, Phil Flentje


Reliable methods for mitigation of landslide impacts must be based on the latest developments in knowledge and advanced methods of analysis and synthesis. An interdisciplinary approach is essential for effective solutions to landslide problems. Prevention or mitigation of landslide disasters requires understanding the factors which often lead to catastrophic landsliding and the simulation of conditions under which such failures may occur. The analysis of rainfall-triggered landsliding in saturated soils requires a proper understanding of how the factor of safety decreases with increase in pore water pressure. On the other hand, for landsliding in unsaturated soils it is necessary to understand the decrease of factor of safety with decrease in soil suctions (negative pore pressures) which is associated with increase in the field water content during rainfall infiltration. Landslide risk management requires understanding and assessment of susceptibility and hazard. In particular, for regional assessment, landslide susceptibility and hazard mapping and zonation are necessary. Mitigation of landslide impacts is facilitated by the use of research –based thresholds of rainfall and/or pore water pressure and/or displacement. These thresholds can be used for the development and application of early warning systems. Monitored data on landslide movements and pore water pressures can be very useful for updating hazard and risk scenarios. Such data also contribute to the capacity for landslide management in near real-time. The paper refers to some of the findings in the regional case study from Wollongong region, New South Wales Australia.


landslide risks; susceptibility; hazard; rainfall threshold

Full Text:



Arr, (1988). Australian Rainfall and Runoff. Institution of Engineers, Australia,

Caine, N. (1980). The rainfall intensity: duration control of shallow landslides and debris flows. Geografiska Annaler. Series A. Physical Geography, 62(1/2), 23-27. Retrieved from doi:10.2307/520449

Chowdhury, R., & Bhattacharya, G. (2011). Reliability analysis of strain-softening slopes. Paper presented at the 13th international conference of IACMAG, Melbourne, Australia (Vol. 2, pp. 1169-1174).

Chowdhury, R., & Flentje, P. (2008). Strategic Approaches for the Management of Risk. Paper presented at Geomechanics, Theme Paper, Proc. 12 IACMAG conference, Goa, India, CD-ROM (pp. 3031-3042).

Chowdhury, R., & Flentje, P. (2011). Practical Reliability Approach to Urban Slope Stability. Paper presented at the 11th Int. Conf. on Application of Statistics and Probability in Civil Engineering, ETH, Zurich, Switzerland (pp. 1-4).

Chowdhury, R., Flentje, P., & Bhattacharya, G. (2010). Geotechnical Slope Analysis. : CRC Press, Balkema, Taylor and Francis Group.

Flentje, P. (2009). Landslide inventory development and landslide susceptibility zoning in the Wollongong City Council Local Government Area. Unpublished Report to Industry Partners-Wollongong City Council, RailCorp and the Roads and Traffic Authority, University of Wollongong, Australia, 73.

Flentje, P., Stirling, D., Science, C. R., Management, E., Vail, M., & 3-8, C. J. (2007). Landslide Susceptibility and Hazard derived from a Landslide Inventory using Data Mining – An Australian Case Study. Paper presented at the First North American Landslide Conference, Landslides and Society: Integrated Science, Engineering, Management, and Mitigation, Vail, Colorado June 3-8, 2007. CD, Paper number 17823-024 (pp. 1-10).

Gibson, A. D., & Chowdhury, R. (2009) Planning and geohazards. In M. G. Culshaw, H. J. Reeves, I. Jefferson, & T. W. Spink (Eds.), Engineering geology for tomorrow’s cities (pp. 113-123). London: Engineering Geology Special Publication.

Hearn, G. J. (2011). Slope Engineering for Mountain Roads. London: Geological Society, Engineering Geology, Special Publication.

Palamakumbure, D., Stirling, D., Flentje, P., & Chowdhury, R. (2013). ArcGIS v.10 Landslide Susceptibility Data Mining add-in tool integrating data mining and GIS techniques to model landslide susceptibility. Paper submitted, XII IAEG Congress,

Quinlan, J. R. (1993). C4. 5: programs for machine learning (Vol. 1). Morgan kaufmann. Chicago

Tobin, P. R. (2012). Manage slope instability hazards affecting local roads within the city of Wollongong. Australian Geomechanics Journal, 47, 53-58.


  • There are currently no refbacks.