کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6447314 | 1641150 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
k-Means clustering as tool for multivariate geophysical data analysis. An application to shallow fault zone imaging
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فیزیک زمین (ژئو فیزیک)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
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, MÂ 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Geophysics - Volume 101, February 2014, Pages 108-115
Journal: Journal of Applied Geophysics - Volume 101, February 2014, Pages 108-115
نویسندگان
Maria Giulia Di Giuseppe, Antonio Troiano, Claudia Troise, Giuseppe De Natale,