Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/11463
Authors: Di Giuseppe, Maria Giulia* 
Troiano, Antonio* 
Troise, Claudia* 
De Natale, Giuseppe* 
Title: K-Means clustering as tool for multivariate geophysical data analysis. An application to shallow fault zone imaging
Issue Date: 2014
Series/Report no.: /101 (2014)
DOI: 10.1016/j.jappgeo.2013.12.004
URI: http://hdl.handle.net/2122/11463
Keywords: Magnetotelluric
Geostatistics
Geological fault detection
Seismic tomography
Subject Classification05.01. Computational geophysics 
Abstract: We present the results of an integrated imaging approach for two-dimensional high-resolution magnetotelluric and seismic profiles. These were carried out in the seismically active intermontane basin of Pantano di San Gregorio Magno (southern Italy), along a line across the surface rupture of the 1980, M 6.9, earthquake. We focus on the application of the post-inversion k-means clustering technique to the univariate resistivity and P- wave velocity models, which were obtained previously through independent inversions. Five cluster classes are recognized, allowing a joint two-dimensional section to be imaged in terms of homogeneous zones from a geo-structural point of view. Two distinct local relationships between electrical resistivity and seismic velocities are inferred. In this way, the hanging and footwall zones have been retrieved, and are characterized according to the different fracturing degrees. The case dealt with here can be viewed as a successful example of how cluster analysis can be a promising auxiliary tool that provides bridging towards the integration of distinct geophysical methods.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
1-s2.0-S0926985113002814-main.pdf2.31 MBAdobe PDFView/Open
Show full item record

Page view(s)

14
Last Week
0
Last month
0
checked on Nov 11, 2018

Download(s)

3
checked on Nov 11, 2018

Google ScholarTM

Check

Altmetric