4.6 Article

LIDAR monitoring of mass wasting processes: The Radicofani landslide, Province of Siena, Central Italy

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GEOMORPHOLOGY
卷 105, 期 3-4, 页码 193-201

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ELSEVIER SCIENCE BV
DOI: 10.1016/j.geomorph.2008.09.015

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Mass wasting; Pelites; GPS; LIDAR; DTM; Central Italy

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The Radicofani Basin, stretching about 30 km NW-SE, is an intra-Central Apennine basin connected to Pliocene-Pleistocene extensional tectonics. It consists of an Early to Middle Pliocene succession including essentially shelf pelites. In the Radicofani area, province of Siena (Tuscany region), morphodynamic processes are very frequent with widespread badlands and rapidly evolving mudflows. In order to evaluate the general instability of the Radicofani area, geological and geomorphological surveys were carried out. The 1954, 1990 and 2003 aerial surveys allowed a comparison of the changes in the various morphological aspects of the study area, which suggested an increase in slope instability with time. A new complex translational landslide evolving into mudflows, activated during the winter of 2003, was monitored using an experimental system based on terrestrial LIDAR (Light Detection and Ranging) and GPS (Global Positioning System) technologies. This system allowed the monitoring of the morphologic and volumetric evolution of the landslide. A comparison of the monitoring data of October 2004, June 2005, May 2006 and May 2007 points out that the evolution is characterised by the sliding of displaced materials. A volume of about 1300 m(3) of materials was removed during the period 2004-2005, 300 m(3) for 2005-2006, and 400 m(3) for 2006-2007. The greater initial mass movement probably reflects a greater static imbalance during the early period of landslide movement and increased rainfall. Therefore, the proposed monitoring system methodology allows the numerical evaluation of the landslide morphological evolution and to validate the landslide evolution model based on geological and geomorphological field surveys. (C) 2008 Elsevier B.V. All rights reserved.

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