Abstract
In this work we perform an assessment of the geotechnical and hydrological parameters affecting the occurrence of landslides. The aim of this study is to improve the reliability of the physically-based model HIRESSS (HIgh REsolution Slope Stability Simulator), for the forecasting of shallow landslides. The model and the soil characterization has been tested in northern Tuscany, in Italy, along the Apennine chain, an area that is historically affected by shallow landslides. In the area selected, the main geotechnical and hydrological parameters controlling the shear strength and permeability of soils have been determined by in situ measurements integrated by laboratory analyses. Around 60 survey points have been analyzed. The data obtained have been studied in order to assess the relationships existing among the different parameters and the bedrock lithology. Soil properties have been then statistically characterized and used to define the input parameters in the physical model, with the final aim of testing the ability of the model to predict shallow landslide occurrence in response of an intense meteoric precipitation. The rainfall event selected dates back to October 2010 when an intense precipitation affected the area, triggering around 50 reported shallow landslides. The geotechnical and hydrological data collected allowed to generate input map of parameters for the HIRESSS and the simulations showed substantial improvements in the results compared to the use of literature parameters.
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References
Amoozegar A (1989) Compact constant head permeameter for measuring saturated hydraulic conductivity of the vadose zone. Soil Sci Soc Am J 53:1356–1361
Arnone E, Noto L, Lepore C, Bras R (2011) Physically-based and distributed approach to analyze rainfall-triggered landslides at watershed scale. Geomorphology 133:121–131
Baroni G, Facchi A, Gandolfi C, Ortuani B, Horeschi D, van Dam JC (2010) Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity. Hydrol Earth Syst Sci 14:251–270
Baum RL, Savage W, Godt J (2002) TRIGRS: a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis. Open-file report, US Geological Survey
Baum RL, Godt JW, Savage WZ (2010) Estimating the timing and location of shallow rainfall-induced landslides using a model for transient unsaturated infiltration. J Geophys Res 115:F03013
Bicocchi G, D’Ambrosio M, Vannocci P, Nocentini M, Tacconi-Stefanelli C, Masi EB, Carnicelli S, Tofani V, Catani F (2015) Preliminary assessment of the factors controlling the geotechnical and hydrological properties in the hillslope deposits of eastern Tuscany (Central Italy). In: IAMG 2015 proceedings, pp 867–874. ISBN 978 3-00 050337 5
Bicocchi G, D’Ambrosio M, Rossi G, Rosi A, Tacconi-Stefanelli C, Segoni S, Nocentini M, Vannocci P, Tofani V, Casagli N, Catani F (2016) Shear strength and permeability in situ measures to improve landslide forecasting models: a case study in the Eastern Tuscany (Central Italy). In: Landslides and engineered slopes. Experience, theory and practice, pp 419–424. doi:10.1201/b21520-42
Carrara A, Crosta G, Frattini P (2008) Comparing models of debris-flow susceptibility in the alpine environment. Geomorphology 94:353–378
Casagli N, Dapporto S, Ibsen ML, Tofani V, Vannocci P (2006) Analysis of the landslide triggering mechanism during the storm of 20th–21st November 2000, in Northern Tuscany. Landslides 3:13–21
Catani F, Casagli N, Ermini L, Righini G, Menduni G (2005) Landslide hazard and risk mapping at catchment scale in the Arno River basin. Landslides 2(4):329–342
Catani F, Segoni S, Falorni G (2010) An empirical geomorphology-based approach to the spatial prediction of soil thickness at catchment scale. Water Resour Res 46(5)
D’Ambrosio M, Tofani V, Bicocchi G, Tacconi-Stefanelli C, Catani F (2016) Assessment of geotechnical and hydrological properties of hillslopes by means of on site and laboratory tests: a case study in Tuscany (Central Italy). Rend Online Soc Geol It 41:297–300. doi:10.3301/ROL.2016.152
Dietrich W, Montgomery D (1998) Shalstab: a digital terrain model for mapping shallow landslide potential. NCASI (National Council for Air and Stream Improvement) technical report, Feb 1998
Lepore C, Arnone E, Noto LV, Sivandran G, Bras RL (2013) Physically based modeling of rainfall-triggered landslides: a case study in the Luquillo forest. Puerto Rico Hydrol Earth Syst Sci 17:3371–3387
Lu N, Godt J (2008) Infinite slope stability under steady unsaturated seepage conditions. Water Resour Res 44:11
Lutenegger AJ, Halberg GR (1981) Borehole Shear Test in geotechnical investigation. Spec Tech Publ Am Soc Test Mater 740:566–578
Mercogliano P, Segoni S, Rossi G, Sikorsky B, Tofani V, Schiano P, Catani F, Casagli N (2013) Brief communication: a prototype forecasting chain for rainfall induced shallow landslides. Nat Hazards Earth Syst Sci 13:771–777
Montrasio L, Valentino R, Losi GL (2011) Towards a real-time susceptibility assessment of rainfall-induced shallow landslides on a regional scale. Nat Hazards Earth Syst Sci 11:1927–1947
Pack R, Tarboton D, Goodwin C (2001) Assessing terrain stability in a GIS using SINMAP. In: 15th annual GIS conference, GIS
Park HJ, Lee JH, Woo I (2013) Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach. Eng Geol 161:1–15
Pazzi V, Tanteri L, Bicocchi G, D’Ambrosio M, Caselli A, Fanti R (2016) H/V measurements as an effective tool for the reliable detection of landslide slip surfaces: case studies of Castagnola (La Spezia, Italy) and Roccalbegna (Grosseto, Italy). Physics and Chemistry of the Earth, Parts A/B/C. doi:10.1016/j.pce.2016.10.014
Rawls WJ, Brakensiek DL, Saxton KE (1982) Estimation of soil water properties. Trans ASAE 25:1316–1320
Ren D, Fu R, Leslie LM, Dickinson R, Xin X (2010) A storm-triggered landslide monitoring and prediction system: formulation and case study. Earth Interact 14:1–24
Ren D, Leslie L, Lynch M (2014) Trends in Storm-Triggered Landslides over Southern California. J Appl Meteor Climatol 53:217–233
Rossi G, Catani F, Leoni L, Segoni S, Tofani V (2013) HIRESSS: a physically based slope stability simulator for HPC applications. Nat Hazards Earth Syst Sci 13:151–166
Simoni S, Zanotti F, Bertoldi G, Rigon R (2008) Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtop-FS. Hydrol Process 22:532–545
Tao J, Barros AP (2014) Coupled prediction of flood response and debris flow initiation during warm- and cold-season events in the Southern Appalachians. USA Hydrol Earth Syst Sci 18:367–388
Vai GB, Martini IP (eds) (2001) Anatomy of an Orogen: the Apennines and adjacent Mediterranean basins. Kluwer Academic Publishers, Dordrecht, 633 p
Zizioli D, Meisina C, Valentino R, Montrasio L (2013) Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy. Nat Hazards Earth Syst Sci 13:559–573
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Tofani, V., Bicocchi, G., Rossi, G., D’Ambrosio, M., Catani, F., Casagli, N. (2017). Soil Characterization for Landslide Forecasting Models: A Case Study in the Northern Apennines (Central Italy). In: Mikos, M., Tiwari, B., Yin, Y., Sassa, K. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-53498-5_44
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DOI: https://doi.org/10.1007/978-3-319-53498-5_44
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