Abstract
| Lingua originale | English |
|---|---|
| Numero di pagine | 5 |
| Stato di pubblicazione | Published - 2017 |
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All Science Journal Classification (ASJC) codes
- Geotechnical Engineering and Engineering Geology
- Geochemistry and Petrology
- Energy Engineering and Power Technology
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Cluster Analysis for Cavity Detection Using Seismic Refraction and Electrical Resistivity Tomography. / Martorana, Raffaele; Vattano, Marco; Capizzi, Patrizia; Carollo, Alessandra.
2017.Risultato della ricerca: Other
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TY - CONF
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
M3 - Other
ER -