Ground-penetrating radar refraction imaging with stacked refraction convolution section method
| Autor: | G. Caielli, Francesco Franchino, Federico Agliardi, Alberto Villa, Roberto de Franco |
|---|---|
| Přispěvatelé: | DE FRANCO, R, Caielli, G, Villa, A, Agliardi, F, Franchino, F |
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
deep-seated gravitational slope deformation 010502 geochemistry & geophysics Ground Penetrating Radar 01 natural sciences Signal GEO/11 - GEOFISICA APPLICATA GEO/05 - GEOLOGIA APPLICATA Convolution law.invention refraction imaging Optics GPR refraction Geochemistry and Petrology law Seismic refraction Radar 0105 earth and related environmental sciences business.industry Process (computing) near-surface structures Refraction Geophysics Ground-penetrating radar business Reciprocal Geology |
| Zdroj: | Geophysics 81 (2016): H33–H45. doi:10.1190/GEO2015-0475.1 info:cnr-pdr/source/autori:de Franco Roberto 1); Caielli Grazia 1); Villa Alberto 2); Agliardi Federico 2); Franchino Francesco 2)/titolo:Ground-penetrating radar refraction imaging with stacked refraction convolution section method/doi:10.1190%2FGEO2015-0475.1/rivista:Geophysics/anno:2016/pagina_da:H33/pagina_a:H45/intervallo_pagine:H33–H45/volume:81 |
| ISSN: | 1942-2156 0016-8033 |
| Popis: | We have evaluated a technique initially developed for the seismic refraction imaging, the stacked refraction convolution section (SRCS), which we have properly adapted to process ground-penetrating radar (GPR) refraction data. Through a mute operation, the subsurface refracting signals, recorded by the receiver from two reciprocal sources, are selected. Following that, a velocity analysis by means of the crosscorrelation of the refracted signals and the convolution of resulting traces is performed. The refraction image in intercept times is successively derived from three main steps, namely: (1) the convolution of the subsurface refracted signals, (2) the crosscorrelation of convolved trace with the reciprocal refracted signal, and (3) the stacking of crosscorrelated traces over all source couples. The technique is not only suitable for the processing of GPR data acquired with two or more reciprocal common source profiles but it is also convenient for its low acquisition cost in addition to the simplicity of software implementation and short processing times. We have evaluated the technique on a real GPR data set to characterize a near-surface morphostructure associated with a deep-seated gravitational slope deformation affecting Mt. Watles (Upper Venosta Valley, Italy). Results of the SRCS technique were validated against the direct trenching log data up to approximately 3 m in depth and complemented by the reflection processing outputs of common-source and common-offset data acquired along the line. The SRCS and common-midpoint processing provide the best reconstruction of the subsurface morphology of a shallow basement (approximately [Formula: see text] depth), characterized by a velocity range of [Formula: see text] and made of strongly to moderately weathered paragneiss. The full-wave modeling response of the reconstructed model demonstrates good agreement with the recorded signals. |
| Databáze: | OpenAIRE |
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