The potential of long-term, real-time surface displacement monitoring by ground-based radar interferometry (GB-InSAR) to improve the understanding of mechanisms and set up objective early warning criteria for complex rockslides is explored. Monitoring data for a rockslide in the Central Italian Alps, collected since 1997 by ground-based and remote-sensing techniques, are examined. A unique 9-year continuous GB-InSAR monitoring activity supported an objective subdivision of the rockslide into “early warning domains” with homogeneous involved material, mechanisms and sensitivity to rainfall inputs. Distributed GB-InSAR data allowed setting up a “virtual monitoring network” by a posteriori selection of critical locations representative of early warning domains, for which we analysed relationships among rainfall descriptors and displacement rates. The potential of different early warning criteria, depending on the instability mechanisms dominating different domains, is tested. Results show that (a) rainfall intensity-duration-displacement rate relationships can be useful tools to predict displacements of “rainfall-sensitive” rockslide sectors, where clear trigger-response signals occur, but are unsuitable in rockslide domains affected by the long-term progressive failure of the rock slope and (b) effective early warning strategies for collapse scenarios (entire rockslide, specific domains) can be enforced by modelling real-time, high-frequency GB-InSAR data according to the accelerated creep theory.

Crosta, G., Agliardi, F., Rivolta, C., Alberti, S., Dei Cas, L. (2017). Long-term evolution and early warning strategies for complex rockslides by real-time monitoring. LANDSLIDES, 14(5), 1615-1632 [10.1007/s10346-017-0817-8].

Long-term evolution and early warning strategies for complex rockslides by real-time monitoring

CROSTA, GIOVANNI
;
AGLIARDI, FEDERICO
Secondo
;
ALBERTI, STEFANO
Penultimo
;
2017

Abstract

The potential of long-term, real-time surface displacement monitoring by ground-based radar interferometry (GB-InSAR) to improve the understanding of mechanisms and set up objective early warning criteria for complex rockslides is explored. Monitoring data for a rockslide in the Central Italian Alps, collected since 1997 by ground-based and remote-sensing techniques, are examined. A unique 9-year continuous GB-InSAR monitoring activity supported an objective subdivision of the rockslide into “early warning domains” with homogeneous involved material, mechanisms and sensitivity to rainfall inputs. Distributed GB-InSAR data allowed setting up a “virtual monitoring network” by a posteriori selection of critical locations representative of early warning domains, for which we analysed relationships among rainfall descriptors and displacement rates. The potential of different early warning criteria, depending on the instability mechanisms dominating different domains, is tested. Results show that (a) rainfall intensity-duration-displacement rate relationships can be useful tools to predict displacements of “rainfall-sensitive” rockslide sectors, where clear trigger-response signals occur, but are unsuitable in rockslide domains affected by the long-term progressive failure of the rock slope and (b) effective early warning strategies for collapse scenarios (entire rockslide, specific domains) can be enforced by modelling real-time, high-frequency GB-InSAR data according to the accelerated creep theory.
Articolo in rivista - Articolo scientifico
Displacement; EWS; GB-InSAR; Monitoring; Rainfall; Rockslide; Time to failure; Warning thresholds;
Displacement; EWS; GB-InSAR; Monitoring; Rainfall; Rockslide; Time to failure; Warning thresholds; Geotechnical Engineering and Engineering Geology
English
2017
14
5
1615
1632
partially_open
Crosta, G., Agliardi, F., Rivolta, C., Alberti, S., Dei Cas, L. (2017). Long-term evolution and early warning strategies for complex rockslides by real-time monitoring. LANDSLIDES, 14(5), 1615-1632 [10.1007/s10346-017-0817-8].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/151146
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