ArchivIA Università degli Studi di Catania
 

ArchivIA - Archivio istituzionale dell'Universita' di Catania >
Tesi >
Tesi di dottorato >
Area 09 - Ingegneria industriale e dell'informazione >

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10761/1074

Data: 29-feb-2012
Autori: Di Stefan, Agnese Giuseppa Federica
Titolo: Next generation of numerical models for inferring the volcano dynamics from geophysical observations
Abstract: We present a 3D numerical model based on FEM (Finite Element Method) to jointly evaluate geophysical changes caused by dislocation and overpressure sources in volcanic areas. A coupled numerical problem was solved to estimate ground deformation, gravity and magnetic changes produced by stress redistribution accompanying magma migration within the volcano edifice. We successfully applied the integrated numerical procedure to image the inflation process of 2005-2006 and the magmatic intrusion of the 2008 eruption. A hybrid approach for forward and inverse geophysical modeling, based on Artificial Neural Networks (ANN) and Finite Element Method (FEM), is proposed in order to properly identify the parameters of volcanic pressure sources from geophysical observations at ground surface. Our FEM-based approach improves the reliability of model-based assessments of geophysical observations that can prelude to an impending eruption.
InArea 09 - Ingegneria industriale e dell'informazione

Full text:

File Descrizione DimensioniFormatoConsultabilità
DSTGSG85A51C351D-Tesi.pdfTesi_Di Stefano4,51 MBAdobe PDFVisualizza/apri


Tutti i documenti archiviati in ArchivIA sono protetti da copyright. Tutti i diritti riservati.


Segnala questo record su
Del.icio.us

Citeulike

Connotea

Facebook

Stumble it!

reddit


 

  Browser supportati Firefox 3+, Internet Explorer 7+, Google Chrome, Safari

ICT Support, development & maintenance are provided by the AePIC team @ CILEA. Powered on DSpace Software.