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.
Highlights
Landslide occurrence can vary depending on different causes such as geology, topography, tectonic history, weathering and land use [1]
The aim of this work is to characterize, in terms of kinematics, mechanical properties and triggering conditions, the landslide phenomena affecting the area of Ricasoli village, that is located in a morphological high in the Upper Arno river Valley (Tuscany), an area historically subject to widespread slope instability phenomena [4], due to its geological and geomorphological setting
The morphological high where Ricasoli is located results to be affected by several instability phenomena involving the escarpments of the village, where surficial landslides have been detected, and the surrounding slopes, where large compound landslides are present
Summary
Landslide occurrence can vary depending on different causes such as geology, topography, tectonic history, weathering and land use [1]. Urbanization has developed in landslide-prone areas and numerous villages and buildings have been built either near or on large landslides, landslides result to be one of the main causes of casualties and economic losses. In such areas, solutions usually are focused on slopes stabilization or on the development of early warning systems, when costs of the stabilization works are unaffordable, since moving the entire population in more stable areas can lead to several social and economic problems [2,3] a good knowledge of landslides behaviour is required to reduce the risk posed by such phenomena.
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