Authors:
Giuseppe Nunnari
1
and
Flavio Cannavo
2
Affiliations:
1
Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Universitá degli Studi di Catania, Viale A. Doria, 6, 95125 Catania and Italy
;
2
Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Catania, Piazza Roma 2, Catania and Italy
Keyword(s):
Change Point Detection, Offsets, GPS Time Series, De-trending, Warning Systems, Volcano Monitoring.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Control and Supervision Systems
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Environmental Monitoring and Control
;
Health Engineering and Technology Applications
;
Informatics in Control, Automation and Robotics
;
Knowledge-Based Systems
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
Surveillance
;
Symbolic Systems
Abstract:
This paper deals with the problem of automatic detection of offsets in GPS time series, which is of interest both in active volcanic and tectonic areas, where they often signal either the opening of eruptive fissures or seismic and aseismic dislocations. The problem is tackled by using the Change Point Detection (CPD) approach. Results show that CPD algorithms are suitable both in off-line and on-line frameworks. In particular, we show that CPD algorithms could contribute to the implementation of a warning system of volcanic intrusive activity.