Abstract
A rockfall susceptibility based on trajectory-energy/velocity approach needs release area or rockfall source. However, identification of rockfall source is not always possible for some areas in Indonesia. This paper presents a rockfall susceptibility zoning based on back analysis technique of rockfall deposit inventory in Gunung Kelir, Java. There were several steps in the rockfall susceptibility zoning: (1) rockfall deposit inventory, (2) rockfall simulation based on back analysis of rockfall deposit inventory, (3) sensitivity analysis, and (4) rockfall susceptibility zoning. The result suggests that the travel distance is affected by the spatial distribution of rockfall source, lithology or surface material, and topography (angle of slope and angle of aspect). Final trajectories were employed to generate landslide susceptibility map which may allow a policy maker to have an advanced consideration to achieve specified risk measures and evaluation of their cost efficiency to optimize budget and design. Application of rockfall susceptibility zoning based on back analysis of rockfall deposits is efficient where rockfall source information is unavailable.
References
Agliardi F, Crosta G (2003) High resolution three-dimensional numerical modelling of rockfalls. Int J Rock Mech Min Sci 40:455–471
Agliardi F, Crosta G, Frattini P (2009) Integrating rockfall risk assessment and countermeasure design by 3D modelling techniques. Nat Hazards Earth Syst Sci 9:1059–1073
Society AG (2007) Guideline for landslide susceptibility, hazard and risk zoning for land use management. Australian Geomechanics Society Landslide Taskforce Landslide Zoning Working Group. Aust Geomechanics Soc 42(1):13–36
Chen G (2003) Numerical modelling of rockfall using extended DDA. Chin J Rock Mech Eng 22(6):926–931
Copons R, Vilaplana JM, Corominas J, Altimir J, Amigo J (2005) Rockfall risk management in high-density urban areas: the Andorran experience. In: Glade T, Anderson M, Crozier MJ (eds) Landslide hazard and risk. Wiley, New York, pp 675–698
Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard, risk zoning for land-use planning. Eng Geol 102:99–111
GEO (1998) Landslides and boulder falls from natural terrains: interim risk guidelines. GEO Report No. 75, Geotechnical Engineering Office, The Government of the Hong Kong Special Administrative Region
Guzzetti F, Crosta G, Detti R, Agliardi F (2002) STONE: a computer program for three-dimensional simulation of rock-falls. Compt Rendus Geosci 28:1079–1093
Hoek E (2007) Practical Rock Engineering, 2007 electronic edition, Rocscience, https://www.rocscience.com/documents/hoek/corner/. Accessed 19 March 2015
Lan H, Martin CD, Lim CH (2007) RockFall Analyst: a GIS extension for three-dimensional and spatially distributed rockfall hazard modelling. Compt Rendus Geosci 33:262–279
Lan H, Martin CD, Zhou C, Lim CH (2010) Rock fall hazard analysis using LiDAR and spatial modeling. Geomorphology 118:213–223
Macciotta R, Martin CD, Cruden DM (2015) Probabilistic estimation of rockfall height and kinetic energy based on a three-dimensional trajectory model and Monte Carlo simulation. Landslides 12(4):757–772
Pierson LA, Davis SA, Van Vickle R (1990) Rockfall hazard rating system—implementation manual. Federal Highway Administration (FHWA), Report FHWA-OR-EG-90-01, FHWA, United States Department of Transportation 1990
Raetzo H, Lateltin O, Bollinger D, Tripet JP (2002) Hazard assessment in Switzerland—codes of practice for mass movements. Bull Eng Geol Env 61(3):263–268
Rocscience (2014) Rocscience coefficient of restitution table. https://www.rocscience.com/help/rocfall/webhelp/baggage/rn_rt_table.htm. Accessed 18 November 2014
Romana M (1993) A geomechanical classification for slopes: slope mass rating. In: Hudson JA (ed) Comprehensive rock engineering. Pergamon Press, Oxford, pp 575–600
Samodra G, Chen G, Sartohadi J, Hadmoko DS, Kasama K (2014) Automated landform classification in a rockfall-prone area, Gunung Kelir, Java. Earth Surf Dyn 2:339–348
Samodra G, Chen G, Sartohadi J, Kasama K (2015) Generating landslide inventory by participatory mapping: an example in Purwosari Area, Yogyakarta. Java Geomorphol. doi:10.1016/j.geomorph.2015.07.035
Sarro R, Mateo RM, Garcia-Moreno I, Herrera G, Reichenbach P, Lain L, Paredes C (2014) The Son Poc rockfall (Mallorca, Spain) on the 6th of March 2013: 3D simulation. Landslides 11:493–503
Sasaki Y, Dobrev N, Wakizaka Y (2002) The detailed hazard map of road slopes in Japan. In: McInnes RG, Jakeways J (eds) Instability—planning and management. Thomas Telford, London, pp 381–388
Shirzadi A, Saro L, Joo OH, Chapi K (2012) A GIS-based logistic regression model in rockfall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan. Iran Nat Hazards 64:1639–1656
Volkwein A, Schellenberg K, Labiouse V, Agliardi F, Berger F, Bourrier F, Dorren LKA, Gerber W, Jaboyedoff M (2011) Rockfall characterisation and structural protection—a review. Nat Hazards Earth Syst Sci 11:2617–2651
Acknowledgments
The authors are grateful to Dr. Hengxing Lan who provided the extension and tutorial of Rockfall Analyst during Landslide Risk Assessment and Mitigation (LARAM) Course in Chengdu, China. We also thank our colleagues in the Department of Environmental Geography, Faculty of Geography Universitas Gadjah Mada, for their support in conducting field survey.
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Samodra, G., Chen, G., Sartohadi, J. et al. Rockfall susceptibility zoning based on back analysis of rockfall deposit inventory in Gunung Kelir, Java. Landslides 13, 805–819 (2016). https://doi.org/10.1007/s10346-016-0713-7
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DOI: https://doi.org/10.1007/s10346-016-0713-7