Services - Reliefs and Monitoring
Reliefs and Monitoring
Direct and remote acquisition of topographic, hydrological, hydrogeological, geophysical and geotechnical data
Implement the dataset to support analysis, modeling and forecasting
The prediction of slope instability events implies the need to identify:
- the triggering agent;
- the relationship between type of phenomenon, type of agent and the intensity of the same;
- the mode of evolution of the phenomenon;
- the transition between different evolutionary phases (slow, rapid displacement and global collapse).
The availability of the monitoring tools and data, methods of analysis and modeling is essential in these forecasting phases. EG4Risk has a long experience in the design of monitoring networks, data collection, analysis and forecasting modeling for the triggering of landslides from intense meteoric events, snow fusion, earthquakes and from the human activities. EG4Risk is expert in the analysis of data from monitoring networks and remote acquisition of topographic, hydrological, hydrogeological and geotechnical variables. In particular, EG4Risk performed data analysis activities detected by laser scanners, ground-based interferometric synthetic aperture radar (GB-InSAR) and by satellite,
with development of approaches for the analysis and use of such data in classifications of the activity status and prediction of evolution in terms of expected displacements and evolution by rapid collapse. EG4Risk staff has developed such activities for both superficial and deep instability, in very different environmental conditions, for natural and artificial slopes, in mining excavations, in soil and rocks, for some of the landslides considered to be among the most dangerous in Italy. In these activities, trigger and warning thresholds have been defined to be used in Early Warning systems and for the management of civil protection plans.
EG4RISK S.R.L
HEADQUARTER:
Via Giotto, 36
20145 Milan
info@eg4risk.com
P.I. e C.F. 10333370962
UNIVERSITY OFFICE:
Department of Earth and Environmental Sciences
University of Milan – Bicocca
Piazza della Scienza 4, 20126, Milan, Italy