Landslide Characterization Using Satellite Interferometry (PSI), Geotechnical Investigations and Numerical Modelling: The Case Study of Ricasoli Village (Italy)

Abstract

Ricasoli is a village located in a morphological high in the Upper Arno river Valley (Tuscany), an area historically subject to widespread slope instability phenomena. This morphological high and the surrounding slopes result to be affected by numerous landslides, which cause the retreat of the escarpments surrounding the village, involving infrastructures and buildings. To better understand the behaviour of these phenomena a complete characterization, in terms of kinematics, mechanical properties and triggering conditions, of the landslides has been carried out. With this aim several boreholes, equipped both with inclinometer and piezometers, have been drilled and a number of samples have been collected and analysed. In addition to the traditional analysis, the radar satellite interferometry has been used to evaluate the evolution of the landslides and its correlation with rainfalls; furthermore a finite difference numerical modelling has been carried out to investigate the kinematics of the landslides and the deformation pattern.

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A. Rosi, P. Vannocci, V. Tofani, G. Gigli and N. Casagli, "Landslide Characterization Using Satellite Interferometry (PSI), Geotechnical Investigations and Numerical Modelling: The Case Study of Ricasoli Village (Italy)," International Journal of Geosciences, Vol. 4 No. 5, 2013, pp. 904-918. doi: 10.4236/ijg.2013.45085.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] N. Casagli, S. Dapporto, M. L. Ibsen, V. Tofani and P. Vannocci, “Analysis of the Landslide Triggering Mechanism during the Storm of 20th-21st November 2000, in Northern Tuscany,” Landslides, Vol. 3, No. 1, 2005, pp. 13-21. doi:10.1007/s10346-005-0007-y
[2] E. Intrieri, G. Gigli, F. Mugnai, R. Fanti and N. Casagli, “Design and Implementation of a Landslide Early Warning System,” Engineering Geology, Vol. 147-148, 2012, pp. 124-136. doi:10.1016/j.enggeo.2012.07.017
[3] E. Intrieri, G. Gigli, N. Casagli and F. Nadim, “Brief Communication: Landslide Early Warning System: Tool-Box and General Concepts,” Natural Hazards and Earth System Science, Vol. 13, No. 1, 2013, pp. 85-90. doi:10.5194/nhess-13-85-2013
[4] P. Canuti, N. Casagli, F. Catani and P. Farina, “Landslide Hazard Mapping at a Basin Scale Using Remote-Sensing Data and Neural Networks,” 4th International Symposium on Landslide Risk Mitigation and Protection of Cultural and Natural Heritage, Kyoto, 15-16 January 2005.
[5] D. Massonnet and K. L. Feigl, “Radar Interferometry and Its Application to Changes in the Earth’s Surface,” Reviews of Geophysics, Vol. 36, No. 4, 1998, pp. 441-500. doi:10.1029/97RG03139
[6] P. A. Rosen, S. Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez and R. M. Goldstein, “Synthetic Aperture Radar Interferometry,” Proceedings of the IEEE, Vol. 88, No. 3, 2000, pp. 333-382. doi:10.1109/5.838084
[7] C. Colesanti, A. Ferretti, C. Prati and F. Rocca, “Monitoring Landslides and Tectonic Motion with the Permanent Scatterers Technique,” Engineering Geology, Vol. 68, No. 1-2, 2003, pp. 3-14. doi:10.1016/S0013-7952(02)00195-3
[8] C. Colesanti, A. Ferretti, F. Novali, C. Prati and F. Rocca, “SAR Monitoring of Progressive and Seasonal Ground Deformation Using the Permanent Scatterers Technique,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 7, 2003, pp. 16S5-1701.
[9] A. Ferretti, C. Prati and F. Rocca, “Permanent Scatterers in SAR interferometry,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 1, 2001, pp. 8-20. doi:10.1109/36.898661
[10] E. Abbate, “Fluvial-Lacustrine Deposits of the Upper Valdarno,” C.N.R., Firenze, 1983.
[11] F. Fidolini, M. Ghinassi, M. Magi, M. Papini and M. Sagri, “The Plio-Pleistocene Fluvio-Lacustrine Upper Valdarno Basin (Central Italy): Stratigraphy and Basin Fill Evolution,” Italian Journal of Geosciences, Vol. 132, No. 1, 2013, pp. 13-32.
[12] M. Magi, “Geological Analysis of Landslides Involving Ricasoli Village,” Unpublished Report, 2007.
[13] D. M. Cruden and D. J. Varnes, “Landslide Types and Processes,” In: A. K. Turner and R. L. Schuster, Eds., Landslides: Investigation and Mitigation: Sp. Rep. 247, National Academy Press, Washington DC, 1996, pp. 36-75.
[14] J. Corominas, J. Moya, A. Ledesma, J. Rius, J. A. Gili and A. Lloret, “Monitoring of the Vallcebre Landslide, Eastern Pyrenees, Spain,” In: Yagi, Yamagami and Jiang Eds., Slope Stability Engineering, Balkema, Rotterdam, 1999, pp. 1239-1244.
[15] J. Corominas, J. Moya, A. Lloret, J. A. Gili, M. G. Angeli, A. Pasuto and S. Silvano, “Measurement of Landslide Displacements Using a Wire Extensometer,” Engineering Geology, Vol. 55, No. 3, 2000, pp. 149-166. doi:10.1016/S0013-7952(99)00086-1
[16] J. Corominas, J. Moya, A. Ledesma, A. Lloret and J. A. Gili, Prediction of Ground Displacements and Velocities from Groundwater Level Changes at the Vallcebre Landslide (Eastern Pyrenees, Spain),” Landslides, Vol. 2, No. 2, 2005, pp. 83-96. doi:10.1007/s10346-005-0049-1
[17] C. Colesanti, R. Locatelli and F. Novali, “Ground Deformation Monitoring Exploiting SAR Permanent Scatterers,” Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toronto, 24-28 June 2002, pp. 1219-1221. doi:10.1109/IGARSS.2002.1025894
[18] F. Cigna, C. Del Ventisette, G. Gigli, F. Menna, F. Agili, V. Liguori and N. Casagli, “Ground Instability in the Old Town of Agrigento (Italy) Depicted by On-Site Investigations and Persistent Scatterers Data,” Natural Hazards and Earth System Science, Vol. 12, No. 12, 2012, pp. 3589-3603. doi:10.5194/nhess-12-3589-2012
[19] G. Gigli, W. Frodella, F. Mugnai, D. Tapete, F. Cigna, R. Fanti, E. Intrieri and L. Lombardi, “Instability Mechanisms Affecting Cultural Heritage Sites in the Maltese Archipelago,” Natural Hazards and Earth System Science, Vol. 12, No. 6, 2012, pp. 1883-1903. doi:10.5194/nhess-12-1883-2012

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