Cluster Analysis for Cavity Detection Using Seismic Refraction and Electrical Resistivity Tomography

Risultato della ricerca: Other

3 Citazioni (Scopus)

Abstract

Geophysical methods (in particular ERT technique) constitute an excellent tool for the detection of buriedcavities. However the integration approach of e different geophysical methods could minimize the ambiguity ofgeophysical interpretation of the buried cavity. The technique of electrical tomography has been joined to thetechnique of seismic refraction tomography in order to obtain more robust interpretations. Many tests have beencarried out using synthetic data and experimental ones. It was finally used a statistical approach based on clusteranalysis of the P-wave velocity, the density of the seismic rays and the electrical resistivity of the synthetic andexperimental models. Distribution maps of the cluster in multi-space were built, allowing to better define andinterpret the anomalies of the subsoil.
Lingua originaleEnglish
Numero di pagine5
Stato di pubblicazionePublished - 2017

Fingerprint

geophysical method
Cluster analysis
seismic refraction
Refraction
tomography
Tomography
cluster analysis
electrical resistivity
cavity
subsoil
P-wave
wave velocity
anomaly
detection
distribution
test

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geochemistry and Petrology
  • Energy Engineering and Power Technology

Cita questo

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title = "Cluster Analysis for Cavity Detection Using Seismic Refraction and Electrical Resistivity Tomography",
abstract = "Geophysical methods (in particular ERT technique) constitute an excellent tool for the detection of buriedcavities. However the integration approach of e different geophysical methods could minimize the ambiguity ofgeophysical interpretation of the buried cavity. The technique of electrical tomography has been joined to thetechnique of seismic refraction tomography in order to obtain more robust interpretations. Many tests have beencarried out using synthetic data and experimental ones. It was finally used a statistical approach based on clusteranalysis of the P-wave velocity, the density of the seismic rays and the electrical resistivity of the synthetic andexperimental models. Distribution maps of the cluster in multi-space were built, allowing to better define andinterpret the anomalies of the subsoil.",
author = "Raffaele Martorana and Marco Vattano and Patrizia Capizzi and Alessandra Carollo",
year = "2017",
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T1 - Cluster Analysis for Cavity Detection Using Seismic Refraction and Electrical Resistivity Tomography

AU - Martorana, Raffaele

AU - Vattano, Marco

AU - Capizzi, Patrizia

AU - Carollo, Alessandra

PY - 2017

Y1 - 2017

N2 - Geophysical methods (in particular ERT technique) constitute an excellent tool for the detection of buriedcavities. However the integration approach of e different geophysical methods could minimize the ambiguity ofgeophysical interpretation of the buried cavity. The technique of electrical tomography has been joined to thetechnique of seismic refraction tomography in order to obtain more robust interpretations. Many tests have beencarried out using synthetic data and experimental ones. It was finally used a statistical approach based on clusteranalysis of the P-wave velocity, the density of the seismic rays and the electrical resistivity of the synthetic andexperimental models. Distribution maps of the cluster in multi-space were built, allowing to better define andinterpret the anomalies of the subsoil.

AB - Geophysical methods (in particular ERT technique) constitute an excellent tool for the detection of buriedcavities. However the integration approach of e different geophysical methods could minimize the ambiguity ofgeophysical interpretation of the buried cavity. The technique of electrical tomography has been joined to thetechnique of seismic refraction tomography in order to obtain more robust interpretations. Many tests have beencarried out using synthetic data and experimental ones. It was finally used a statistical approach based on clusteranalysis of the P-wave velocity, the density of the seismic rays and the electrical resistivity of the synthetic andexperimental models. Distribution maps of the cluster in multi-space were built, allowing to better define andinterpret the anomalies of the subsoil.

UR - http://hdl.handle.net/10447/243855

UR - http://earthdoc.eage.org/publication/publicationdetails/?publication=90039

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