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Multi-scenario Rockfall Hazard Assessment Using LiDAR Data and GIS

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Abstract

Transportation corridors that pass through mountainous or hilly areas are prone to rockfall hazard. Rockfall incidents in such areas can cause human fatalities and damage to properties in addition to transportation interruptions. In Malaysia, the North–South Expressway is the most significant expressway that operates as the backbone of the peninsula. A portion of this expressway in Jelapang was chosen as the site of rockfall hazard assessment in multiple scenarios. Light detection and ranging techniques are indispensable in capturing high-resolution digital elevation models related to geohazard studies. An airborne laser scanner was used to create a high-density point cloud of the study area. The use of 3D rockfall process modeling in combination with geographic information system (GIS) is a beneficial tool in rockfall hazard studies. In this study, a 3D rockfall model integrated into GIS was used to derive rockfall trajectories and velocity associated with them in multiple scenarios based on a range of mechanical parameter values (coefficients of restitution and friction angle). Rockfall characteristics in terms of frequency, height, and energy were determined through raster modeling. Analytic hierarchy process (AHP) was used to compute the weight of each rockfall characteristic raster that affects rockfall hazard. A spatial model that considers rockfall characteristics was conducted to produce a rockfall hazard map. Moreover, a barrier location was proposed to eliminate rockfall hazard. As a result, rockfall trajectories and their characteristics were derived. The result of AHP shows that rockfall hazard was significantly influenced by rockfall energy and then by frequency and height. The areas at risk were delineated and the hazard percentage along the expressway was observed and demonstrated. The result also shows that with increasing mechanical parameter values, the rockfall trajectories and their characteristics, and consequently rockfall hazard, were increased. In addition, the suggested barrier effectively restrained most of the rockfall trajectories and eliminated the hazard along the expressway. This study can serve not only as a guide for a comprehensive investigation of rockfall hazard but also as a reference that decision makers can use in designing a risk mitigation method. Furthermore, this study is applicable in any rockfall study, especially in situations where mechanical parameters have no specific values.

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References

  • Akin M, Topal T, Akin MK (2013) Evaluation of the rockfall potential of kastamonu castle using 3-D analysis. Landslide science and practice. Springer, NewYork, pp 335–340. doi:10.1007/978-3-642-31319-6_45

    Google Scholar 

  • Antoniou AA (2013) GIS-based evaluation of rockfall risk along routes in greece. Environ Earth Sci 70(5):2305–2318. doi:10.1007/s12665-013-2459-z

    Article  Google Scholar 

  • Asteriou P, Saroglou H, Tsiambaos G (2012) Geotechnical and kinematic parameters affecting the coefficients of restitution for rock fall analysis. Int J Rock Mech Min Sci 54:103–113. doi:10.1016/j.ijrmms.2012.05.029

    Google Scholar 

  • Barbarella M, Fiani M, Lugli A (2013) Landslide monitoring using multitemporal terrestrial laser scanning for ground displacement analysis. Geomat Nat Hazards Risk 6:398–418. doi:10.1080/19475705.2013.863808

    Article  Google Scholar 

  • Blahut J, Klimeš J, Vařilová Z (2013) Quantitative rockfall hazard and risk analysis in selected municipalities of the České Švýcarsko National Park, Northwestern Czechia. Geografie 118(3):205–220

    Google Scholar 

  • Bolin H, Lide C, Xuanming P, Guanning L, Xiaoting C, Haogang D, Tianci L (2010) Assessment of the risk of rockfalls in Wu Gorge, Three Gorges, China. Landslides 7(1):1–11. doi:10.1007/s10346-009-0170-7

    Article  Google Scholar 

  • Bourrier F, Dorren L, Nicot F, Berger F, Darve F (2009) Toward objective rockfall trajectory simulation using a stochastic impact model. Geomorphology 110(3):68–79. doi:10.1016/j.geomorph.2009.03.017

    Article  Google Scholar 

  • Chen G, Zheng L, Zhang Y, Wu J (2013) Numerical simulation in rockfall analysis: a close comparison of 2-D and 3-D DDA. Rock Mech Rock Eng 46(3):527–541. doi:10.1007/s00603-012-0360-9

    Article  Google Scholar 

  • Crosta G, Agliardi F (2004) Parametric evaluation of 3D dispersion of rockfall trajectories. Nat Hazards Earth Syst Sci 4(4):583–598. doi:10.5194/nhess-4-583-2004

    Article  Google Scholar 

  • Flentje P, Palamakumbure D, Thompson J (2015) Assessing rockfall along the illawarra escarpment. Engineering geology for society and territory, 2nd edn. Springer, NewYork, pp 2031–2036. doi:10.1007/978-3-319-09057-3_361

    Google Scholar 

  • Gigli G, Morelli S, Fornera S, Casagli N (2014) Terrestrial laser scanner and geomechanical surveys for the rapid evaluation of rock fall susceptibility scenarios. Landslides 11(1):1–14. doi:10.1007/s10346-012-0374-0

    Article  Google Scholar 

  • Heckmann T, Schwanghart W (2013) Geomorphic coupling and sediment connectivity in an alpine catchment—exploring sediment cascades using graph theory. Geomorphology 182:89–103. doi:10.1016/j.geomorph.2012.10.033

    Article  Google Scholar 

  • Kenner R, Bühler Y, Delaloye R, Ginzler C, Phillips M (2014) Monitoring of high alpine mass movements combining laser scanning with digital airborne photogrammetry. Geomorphology 206:492–504. doi:10.1016/j.geomorph.2013.10.020

    Article  Google Scholar 

  • Keskin İ (2013) Evaluation of rock falls in an urban area: the case of Boğaziçi (Erzincan/Turkey). Environ Earth Sci 70(4):1619–1628. doi:10.1007/s12665-013-2247-9

    Article  Google Scholar 

  • Lambert S, Bourrier F, Toe D (2013) Improving three-dimensional rockfall trajectory simulation codes for assessing the efficiency of protective embankments. Int J Rock Mech Min Sci 60:26–36. doi:10.1016/j.ijrmms.2012.12.029

    Google Scholar 

  • Lan H, Martin CD, Lim C (2007) RockFall analyst: a GIS extension for three-dimensional and spatially distributed rockfall hazard modeling. Comput Geosci 33(2):262–279. doi:10.1016/j.cageo.2006.05.013

    Article  Google Scholar 

  • Lan H, Martin CD, Zhou C, Lim CH (2010) Rockfall hazard analysis using LiDAR and spatial modeling. Geomorphology 118(1):213–223. doi:10.1016/j.geomorph.2010.01.002

    Article  Google Scholar 

  • Lato MJ, Diederichs MS, Hutchinson DJ, Harrap R (2012) Evaluating roadside rockmasses for rockfall hazards using LiDAR data: optimizing data collection and processing protocols. Nat Hazards 60(3):831–864. doi:10.1007/s11069-011-9872-y

    Article  Google Scholar 

  • Li L, Sun S, Li S, Zhang Q, Hu C, Shi S (2015) Coefficient of restitution and kinetic energy loss of rockfall impacts. KSCE J Civil Eng. doi:10.1007/s12205-015-0221-7

    Google Scholar 

  • Macciotta R, Martin CD, Cruden DM (2014) Probabilistic estimation of rockfall height and kinetic energy based on a three-dimensional trajectory model and monte carlo simulation. Landslides 12(4):757–772. doi:10.1007/s10346-014-0503-z

    Article  Google Scholar 

  • Rieg L, Wichmann V, Rutzinger M, Sailer R, Geist T, Stötter J (2014) Data infrastructure for multitemporal airborne LiDAR point cloud analysis—examples from physical geography in high mountain environments. Comput Environ Urban Syst 45:137–146. doi:10.1016/j.compenvurbsys.2013.11.004

    Article  Google Scholar 

  • Saaty T (1980) The analytic hierarchy process. McGraw-hill, NewYork

    Google Scholar 

  • Sabatakakis N, Depountis N, Vagenas N (2015) Evaluation of rockfall restitution coefficients. Engineering geology for society and territory, 2nd edn. Springer, NewYork, pp 2023–2026. doi:10.1007/978-3-319-09057-3_359

    Google Scholar 

  • Salvini R, Francioni M, Riccucci S, Bonciani F, Callegari I (2013) Photogrammetry and laser scanning for analyzing slope stability and rock fall runout along the Domodossola-Iselle railway, the Italian Alps. Geomorphology 185:110–122

    Article  Google Scholar 

  • Samodra G, Chen G, Sartohadi J, Hadmoko D, Kasama K (2014) Automated landform classification in a rockfall-prone area, Gunung Kelir, Java. Earth Surf Dyn 2(1):339–348. doi:10.5194/esurf-2-339-2014

    Article  Google Scholar 

  • Singh P, Wasnik A, Kainthola A, Sazid M, Singh T (2013) The stability of road cut cliff face along SH-121: a case study. Nat Hazards 68(2):497–507. doi:10.1007/s11069-013-0627-9

    Article  Google Scholar 

  • Wang X, Frattini P, Crosta G, Zhang L, Agliardi F, Lari S, Yang Z (2014) Uncertainty assessment in quantitative rockfall risk assessment. Landslides 11(4):711–722. doi:10.1007/s10346-013-0447-8

    Article  Google Scholar 

  • Wyllie DC (2014) Calibration of rock fall modelling parameters. Intern J Rock Mech Min Sci 67:170–180

    Google Scholar 

  • Yusof NM, Pradhan B, Shafri HZM, Jebur MN, Yusoff Z (2015) Spatial landslide hazard assessment along the Jelapang Corridor of the North-South Expressway in Malaysia using high resolution airborne LiDAR data. Arab J Geosci 8(11):9789–9800. doi:10.1007/s12517-015-1937-x

    Article  Google Scholar 

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Correspondence to Biswajeet Pradhan.

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Fanos, A.M., Pradhan, B. Multi-scenario Rockfall Hazard Assessment Using LiDAR Data and GIS. Geotech Geol Eng 34, 1375–1393 (2016). https://doi.org/10.1007/s10706-016-0049-z

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  • DOI: https://doi.org/10.1007/s10706-016-0049-z

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