Processing GPR Surveys in Civil Engineering to Locate Buried Structures in Highly Conductive Subsoils
Metadatos
Mostrar el registro completo del ítemAutor
Mendoza, Rosendo; Araque-Pérez, Carlos José; Marinho, Bruna; Rey, Javier; Hidalgo, Mari CarmenEditorial
MDPI
Materia
Non-destructive survey Ground-penetrating radar Civil-engineering applications
Fecha
2023-08-14Referencia bibliográfica
Mendoza, R.; Araque-Perez, C.; Marinho, B.; Rey, J.; Hidalgo, M.C. Processing GPR Surveys in Civil Engineering to Locate Buried Structures in Highly Conductive Subsoils. Remote Sens. 2023, 15, 4019. https://doi.org/10.3390/rs15164019
Patrocinador
FEDER Andalucía R+D+i Project (reference 1380520); Ministerio de Ciencia e Innovación Project (reference PID2021-123506OB-I00); University of Jaen’s own fundsResumen
Many studies have illustrated the great benefit of ground-penetrating radar (GPR) in civil
engineering. However, in some cases, this geophysical survey method does not produce the desired
results due to the electromagnetic characteristics of the subsoil. This study presents the results
obtained in two locations near Linares (southern Spain), evaluating the detection of structures buried
in conductive host materials (0.02 S/m in site 1 and 0.015 S/m in site 2) characterized by strong signal
attenuation. Accounting for the study depth, which was 1.5 m, a 500 MHz shielded GPR antenna was
used at both sites. At the first site, a controlled experiment was planned, and it consisted of burying
three linear elements. An iron pipe, a PVC pipe, and a series of precast blocks were buried at a depth
of 0.5 m in a subsoil composed of highly conductive clayey facies. To eliminate additional multiples
caused by other superficial structures and increasing the high-frequency content, the predictive
deconvolution flow was applied. In the 3D processing, the cover surfaces technique was used. Once
the acquired GPR signals was analyzed and the optimal processing flow established, a second site in
which different infrastructures in a conductive host medium formed by marly facies was explored.
The 2D flow and 3D processing applied in this work allows to detect and see the continuity of some
structures not visible for the default processing.