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Title: THE VAL RONCAGLIA LANDSLIDE (NORTHERN ITALY): FROM CONCEPTUAL TO NUMERICAL MODELLING
THE VAL RONCAGLIA LANDSLIDE (NORTHERN ITALY): FROM CONCEPTUAL TO NUMERICAL MODELLING

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Paola Gattinoni; Angelo Molteni
10.5593/sgem2024/1.1/s02.27
10.5593/sgem2024/1.1
1314-2704
978-619-7603-67-5
English
24
1.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
2.Hydrogeology, Engineering Geology and Geotechnics
This paper focuses on the Deep Seated Gravitational Slope Deformation (DSGSD) affecting Val Roncaglia (Northern Italy). Based on the state of the art about DSGSD, the study area was characterized from geologic, tectonic, geomorphological, and hydrogeological points of view in order to reconstruct the conceptual model of the slope (geometry, geomaterials and their properties). Moreover, based on the available monitoring data, the landslide kinematics was pointed out together with its possible evolution and the related triggering factors. Then, the conceptual model of the landslide was implemented into a 2D numerical stress-strain model, which was calibrated based on monitoring data of displacement arising from inclinometric probes. Finally, the numerical model was employed to simulated the slope evolution for different geomechanical and hydrogeological conditions in order to find out the factors that affect stability the most. The results of the present study provide a comprehensive understanding of the causes and dynamics of the DSGSD affecting the Val Roncaglia slope and give insights useful for the general comprehension of this kind of large phenomena, therefore enanching a proper management of the related risks.
[1] ISPRA, Dissesto idrogeologico in Italia: pericolosita e indicatori di rischio (Landslides in Italy: hazard and risk indexes), Report 2015.
[2] Agliardi F., Crosta G., Zanchi A., Structural constraints on deep-seated slope deformation kinematics, Eng Geol 2001, 59, 83-102, DOI: 10.1016/S0013-7952(00)00066-1.
[3] Dramis F., Soriso-Valvo M., Deep-seated gravitational slope deformations, related landslides and tectonics, Engineering Geology, 38, pp 231–243, 1994.
[4] Capitani M., Ribolini A., Federici P.R., Influence of deep-seated gravitational slope deformations on landslide distributions: A statistical approach, Geomorphology, 201, 127–134, 2013.
[5] Preisig G., Eberhardt E., Smityman M., Preh A., Bonzanigo L., Hydromechanical Rock Mass Fatigue in Deep.Seated Landslide Accompanying Seasonal Variations in Pore Pressure, Rock Mechanics and Rock Engineering, 49(6), 2016, DOI: 10.1007/s00603-016-0912-5.
[6] De Finis E., Gattinoni P., Marchi L., Scesi L., Anomalous Alpine fans: from the genesis to the present hazard, Landslides, vol. 15, p.683-694, 2018, doi: 10.1007/s10346-017-0894-8.
[7] Longoni L., Papini M., Brambilla D., Arosio D., Zanzi L., The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: the Ronco landslide, Italy, Geomorphology, 2015.
[8] Apuani T., Rossi M., Masetti M., Applicazione di modelli reologici tempo dipendenti nell'evoluzione di deformazioni gravitative profonde. Giornale Di Geologia Applicata, 2, pp 99–105, 2005.
[9] Gattinoni P., Scesi L.. Landslide Hydrogeological susceptibility of Maierato (Vibo Valencia, Southern Italy), Natural Hazard 66(2), 629-648, 2013.
[10] Comune di Pian Camuno, Pianificazione e Governo del territorio: Componente geologica, idrologica e sismica (Landplanning: geological, hydrogeological and seismic components), 2008.
[11] Geoportale Regione Lombardia, 2023 (www.geoportale.regione.lombardia.it)
[12] ARPA Lombardia - Rete di monitoraggio di Roncaglia (Monitoring network of Val Roncaglia), 2021, https://www.arpalombardia.it/temi-ambientali/frane-e-dissesti/reti-di-controllo/aree-monitorate-da-cmg/roncaglia/
[13] Curioni S., Gattinoni P., Leonelli G., Integrating dendrogeomorphology into stress-strain numerical models: an opportunity to monitor slope dynamic, Geosciences 14, 129, 2024.
[14] Ozturk U., Tarakegn Y.A., Longoni L., Brambilla D., Papini M., Jense, J. A, Simplified early-warning system for imminent landslide prediction based on failure index fragility curves developed through numerical analysis, Geomatics, Natural Hazards and Risk 2016, 7(4), 1406–1425, DOI: 10.1080/19475705.2015.1058863.
[15] Alestalo J., Dendrochronological interpretation of geomorphic processes, International Journal of Geography, 1971, 105(1).
conference
https://doi.org/10.5593/sgem2024/1.1/s02.27
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 7 July, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
193-200
1 - 7 July, 2024
website
9855
DSGSD, Italy, landslide, slope monitoring, numerical modelling

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