Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/966
AuthorsFaggioni, O.* 
Beverini, N.* 
Caratori Tontini, F.* 
Carmisciano, C.* 
Nicolosi, I.* 
TitleA realistic inversion algorithm for magnetic anomaly data: the Mt. Amiata volcano test
Issue Date2003
Series/Report no.46 (3)
URIhttp://hdl.handle.net/2122/966
Keywordsmagnetic method
Mt. Amiata volcano
potential field inversion
Subject Classification04. Solid Earth::04.05. Geomagnetism::04.05.04. Magnetic anomalies 
AbstractThe aim of this work is the formulation of a 3D model of the Mt. Amiata volcanic complex (Southern Tuscany) by means of geomagnetic data. This work is shown not only as a real test to check the validity of the inversion algorithm, but also to add information about the structure of the volcanic complex. First, we outline briefly the theory of geomagnetic data inversion and we introduce the approach adopted. Then we show the 3D model of the Amiata volcano built from the inversion, and we compare it with the available geological information. The most important consideration regards the surface distribution of the magnetization that is in good agreement with rock samples from this area. Moreover, the recovered model orientation recall the extension of the lava flows, and as a last proof of validity, the source appears to be contained inside of the topographic contour level. The credibility of the inversion procedure drives the interpretation even for the deepest part of the volcano. The geomagnetic signal appears suppressed at a depth of about 2 km, but the most striking consequence is that sub-vertical structures are found even in different positions from the conduits shown in the geologic sections. The results are thus in good agreement with the information obtained from other data, but showing features that had not been identified, stressing the informative power of the geomagnetic signal when a meaningful inversion algorithm is used.
Appears in Collections:Annals of Geophysics

Files in This Item:
File Description SizeFormat 
525_532Faggioni.pdf895.16 kBAdobe PDFView/Open
Show full item record

Page view(s)

75
Last Week
0
Last month
0
checked on Jul 23, 2017

Download(s)

4,551
checked on Jul 23, 2017

Google ScholarTM

Check