Control of movements and deformations is based on the comparison between surveys repeated in different times and in particular on the determination of a certain number of points. The topographical method represents one of the possible solutions in order to reach such aim. A control network is constituted by reference points (located in stable zones) and control points (located in not-stable zones). The movements can be of two kinds: “relative” between the control points (network deformations) and “absolute” (control points respect to the reference network). It’s necessary, therefore, to estimate, during the time, the stability of reference points. In this work the stability of reference network- located in Senerchia (Sothern Italy) and constituted for the monitoring of a landslide area with static GPS- has been investigated. It has been executed on the network both the classical and the Bayesian statistical analysis in order to identify small movements in comparison with accuracy of the measurements. The application of the Bayes theory on the network has confirmed its stability
Modern techniques of measure and control of deformations; an experimental test: Senerchia landslide / Caprioli, M.; Strisciuglio, G.. - STAMPA. - 46:(2007), pp. 871-885. [10.2495/CMEM070851]
Modern techniques of measure and control of deformations; an experimental test: Senerchia landslide
M. Caprioli;
2007-01-01
Abstract
Control of movements and deformations is based on the comparison between surveys repeated in different times and in particular on the determination of a certain number of points. The topographical method represents one of the possible solutions in order to reach such aim. A control network is constituted by reference points (located in stable zones) and control points (located in not-stable zones). The movements can be of two kinds: “relative” between the control points (network deformations) and “absolute” (control points respect to the reference network). It’s necessary, therefore, to estimate, during the time, the stability of reference points. In this work the stability of reference network- located in Senerchia (Sothern Italy) and constituted for the monitoring of a landslide area with static GPS- has been investigated. It has been executed on the network both the classical and the Bayesian statistical analysis in order to identify small movements in comparison with accuracy of the measurements. The application of the Bayes theory on the network has confirmed its stabilityI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.