Paolo Mauriello

Prof. Dr. Paolo Mauriello

Department of Agricultural, Environmental and Food Sciences, University of Molise, Via De Sanctis, 86100 Campobasso, Italy
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Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 1998 in Journal of Volcanology and Geothermal Research
Verified
Journal Article
Closed access
RMRosa Di Maio
Rosa Di Maio
PMPaolo Mauriello
Paolo Mauriello
DPD. Patella
D. Patella
ZPZ. Petrillo
Z. Petrillo
SPS. Piscitelli
S. Piscitelli
ASA. Siniscalchi
A. Siniscalchi

1 June 1999 in Geophysical Prospecting
Verified
Journal Article
Closed access
PDF file
PMPaolo Mauriello
Paolo Mauriello
DPDomenico Patella
Domenico Patella

1 March 2002 in Journal of Volcanology and Geothermal Research
Verified
Journal Article
Closed access
TITeresa Iuliano
Teresa Iuliano
PMPaolo Mauriello
Paolo Mauriello
DPDomenico Patella
Domenico Patella

1 January 2001 in Geophysical Prospecting
Verified
Journal Article
Closed access
PDF file
PMPaolo Mauriello
Paolo Mauriello
DPDomenico Patella
Domenico Patella

1 September 1998 in Geophysical Prospecting
Verified
Journal Article
Closed access
PDF file
PMPaolo Mauriello
Paolo Mauriello
DMDario Monna
Dario Monna
DPDomenico Patella
Domenico Patella

1 October 1999 in Geophysics
Verified
Journal Article
Closed access
PMPaolo Mauriello
Paolo Mauriello
DPDomenico Patella
Domenico Patella
The 3-D interpretation problem of natural-source electromagnetic (EM) induction field data collected over a flat air-earth boundary is dealt with using the concept of probability tomography. This paper presents a method to recognize the most probable localization of the induced electric charge accumulations across resistivity discontinuities and current channeling inside conductive bodies. We begin by writing the solutions for the electric (magnetic) ground surface EM field components in the frequency domain as a sum of elementary contributions, each resulting from a single induced-charge (dipole) element. Then we express the total electric (magnetic) power associated with each EM field component as a sum of crosscorrelation integrals between the measured component and the homologous synthetic expression resulting from each causative induced-charge (dipole) element. The synthetic component takes the key role of scanner function in the new imaging procedure. Moreover, using the crosscorrelation bounding inequality we introduce the concept of EM induction occurrence probability as a suitable parameter for the tomographic representation of the induced-charge and dipole distributions underground. For each electric and magnetic surface component we define the corresponding occurrence probability function as the crosscorrelation product of the observed component and the relative scanning function, divided by the square root of the product of the respective variances. In the space domain, the 3-D tomographic procedure consists of scanning the half-space below the survey area by the unit strength charge or dipole element, which is given a regular grid of space coordinates within the volume. At each node of the grid, the occurrence probability function is calculated. We use the complete set of calculated grid values to single out the zones of highest occurrence probability of electric charge accumulations and current channeling elements. The physical reliability of the proposed tomography is tested on synthetic and field examples.