Abstract
Estimating the time of slope failure is a topic of great importance in the field of landslide risk mitigation. Within this framework, time of failure forecasting methods based on the inverse velocity, typically intended as the extrapolation of linear trend lines of the inverse of velocity with time, are widely known as tools for early warning of slopes displaying accelerating trends of deformation rate. Although nominally simple, their correct application is actually tricky as many factors can influence displacement data and eventually heavily reduce the accuracy of the predictions. Such disturbing elements can be classified as noise caused by instrumental precision and as noise representing the diverging of a natural behavior with respect to an ideal inverse velocity trend. Hence correctly preparing the dataset is a pivotal and critical task. The present teaching tool describes how to filter displacement data by presenting three different approaches and discussing the results of their application to three large slope failure case histories in Italy, in order to improve, in retrospect, the reliability of the failure-time predictions. Procedures to automatically setup alarm levels of slope failure occurrence are consequently proposed for supporting the definition of landslide emergency response plans.
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References
Apuani T, Corazzato C, Cancelli A, Tibaldi A (2005) Physical and mechanical properties of rock masses at Stromboli: a dataset for volcano instability evaluation. Bull Eng Geol Environ 64:419–431
Calvari S, Bonaccorso A, Madonia P, Neri M, Liuzzo M, Salerno GG, Behncke B, Caltabiano T, Cristaldi A, Giuffrida G, La Spina A, Marotta E, Ricci T, Spampinato L (2014) Major eruptive style changes induced by structural modifications of a shallow conduit system: the 2007–2012 Stromboli case. Bull Volcanol 76(7):1–15
Carlà T, Intrieri E, Di Traglia F, Nolesini T, Gigli G, Casagli N (2016) Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses. Landslides. doi:10.1007/s10346-016-0731-5
Crosta GB, Agliardi F (2003) Failure forecast for large rock slides by surface displacement measurements. Can Geotech J 40:176–191
Cruden DM, Masoumzadeh S (1987) Accelerating creep of the slopes of a coal mine. Rock Mech Rock Eng 20:123–135
Di Traglia F, Nolesini T, Intrieri E, Mugnai F, Leva D, Rosi M, Casagli N (2014) Review of ten years of volcano deformations recorded by the ground-based InSAR monitoring system at Stromboli volcano: a tool to mitigate volcano flank dynamics and intense volcanic activity. Earth Sci Rev 139:317–335
Di Traglia F, Battaglia M, Nolesini T, Lagomarsino D, Casagli N (2015) Shifts in the eruptive style at Stromboli in 2010–2014 revealed by ground-based InSAR data. Sci Rep 5. doi:10.1038/srep13569
Dick GJ, Eberhardt E, Cabrejo-Liévano AG, Stead D, Rose ND (2015) Development of an early-warning time-of-failure analysis methodology for open-pit mine slopes utilizing ground-based slope stability radar monitoring data. Can Geotech J 52:515–529
Fukuzono T (1985) A new method for predicting the failure time of slopes. In: Proceedings, 5th international conference & field workshop on landslides, pp 145–150
Gigli G, Fanti R, Canuti P, Casagli N (2011) Integration of advanced monitoring and numerical modeling techniques for the complete risk scenario analysis of rockslides: the case of Mt. Beni (Florence, Italy). Eng Geol 120:48–59
Havaej M, Wolter A, Stead D (2015) The possible role of brittle rock fracture in the 1963 Vajont Slide, Italy. Int J Rock Mech Min Sci 78:319–330
Helmstetter A, Sornette D, Grasso J-R, Andersen JV, Gluzman S, Pisarenko V (2004) Slider block friction model for landslides: application to Vaiont and La Clapière landslides. J Geophys Res 109. doi:10.1029/2002JB002160
Intrieri E, Di Traglia F, Del Ventisette C, Gigli G, Mugnai F, Luzi G, Casagli N (2013) Flank instability of Stromboli volcano (Aeolian Islands, Southern Italy): integration of GB-InSAR and geomorphological observations. Geomorphology 201:60–69
Mufundirwa A, Fujii Y, Kodama J (2010) A new practical method for prediction of geomechanical failure. Int J Rock Mech Min Sci 47:1079–1090
Muller L (1964) The rock slide in the Vaiont valley. Felsmech Ingenoirgeol 2:148–212
Newcomen W, Dick G (2015) An update to strain-based pit wall failure prediction method and a justification for slope monitoring. Proc Slope Stab 2015:139–150
Olson D (2004) Have trading rule profits in the currency markets declined over time? J Bank Financ 28:85–105
Petley DN, Bulmer MH, Murphy W (2002) Patterns of movement in rotational and translational landslides. Geology 30(8):719–722
Read J, Stacey P (2009) Guidelines for open pit slope design. CSIRO Publishing, Collingwood, VIC, Australia
Rizzo AL, Federico C, Inguaggiato S, Sollami A, Tantillo M, Vita F, Bellomo S, Longo M, Grassa F, Liuzzo M (2015) The 2014 effusive eruption at Stromboli volcano (Italy): Inferences from soil CO2 flux and 3He/4He ratio in thermal waters. Geophys Res Lett 42(7):2235–2243
Rose ND, Hungr O (2007) Forecasting potential rock slope failure in open pit mines using the inverse-velocity method. Int J Rock Mech Min Sci 44:308–320
Saito M (1969) Forecasting time of slope failure by tertiary creep. In: Proceedings, 7th international conference on soil mechanics and foundation engineering, pp 677–683
Shambora WE, Rossiter R (2007) Are there exploitable inefficiencies in the futures market for oil? Energ Econ 29:18–27
Voight B (1988) A method for prediction of volcanic eruption. Nature 332:125–130
Voight B (1989) A relation to describe rate-dependent material failure. Science 243:200–203
Zakšek K, Hort M, Lorenz E (2015) Satellite and ground based thermal observation of the 2014 effusive eruption at Stromboli volcano. Remote Sens 7(12):17190–17211
Zavodni ZM, Broadbent CD (1980) Slope failure Kinematics. Bull Can Inst Min 73(16):69–74
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Carlà, T., Intrieri, E., Di Traglia, F., Gigli, G., Casagli, N. (2018). TXT-tool 2.039-3.4 Methods to Improve the Reliability of Time of Slope Failure Predictions and to Setup Alarm Levels Based on the Inverse Velocity Method. In: Sassa, K., et al. Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools . Springer, Cham. https://doi.org/10.1007/978-3-319-57774-6_39
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