Over the last decades the real-time displacement monitoring systems have been increasingly used for assessing the risk conditions due to landslide movements and for managing the early-warning systems. Any decision about safety actions is therefore based upon the data provided by the instrumentation. The purpose of this work is to suggest how in-place inclinometers may be combined with periodical measurements by using a mobile probe in order to evaluate the current movement of a landslide and to assess the reliability of data. The monitoring system installed at the landslide of Castelrotto (Northern Italy) is described, giving some details on the instrumentation and the data collected so far. A Local Quadratic Trend Model is developed to estimate the kinematic characteristics of the movement, and a statistical procedure for comparing real-time data with periodical measures is given to assess the reliability of data. This analysis shows how the direction of the displacement may be used as an indicator of reliability.

Inclinometer monitoring of the Castelrotto landslide in Italy

SIMEONI, Lucia;
2007-01-01

Abstract

Over the last decades the real-time displacement monitoring systems have been increasingly used for assessing the risk conditions due to landslide movements and for managing the early-warning systems. Any decision about safety actions is therefore based upon the data provided by the instrumentation. The purpose of this work is to suggest how in-place inclinometers may be combined with periodical measurements by using a mobile probe in order to evaluate the current movement of a landslide and to assess the reliability of data. The monitoring system installed at the landslide of Castelrotto (Northern Italy) is described, giving some details on the instrumentation and the data collected so far. A Local Quadratic Trend Model is developed to estimate the kinematic characteristics of the movement, and a statistical procedure for comparing real-time data with periodical measures is given to assess the reliability of data. This analysis shows how the direction of the displacement may be used as an indicator of reliability.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/21592
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