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2D Self-Potential tomographies for studying groundwater flows in the Varco d'Izzo landslide (Basilicata, southern Italy)

Authors :
Colangelo, G.
Lapenna, V.
Perrone, A.
Piscitelli, S.
Telesca, L.
Source :
Engineering Geology. Dec2006, Vol. 88 Issue 3/4, p274-286. 13p.
Publication Year :
2006

Abstract

Abstract: A geoelectrical monitoring activity has been carried out to improve the geological and hydrogeological knowledge about the Varco d''Izzo landslide (Potenza, Basilicata, Southern Apennine, Italy), an active rotational–translational slide evolved in earth-flow. In this work we have focused on the Self-Potential (SP) method by applying three different SP measuring techniques and combining modern technologies for data acquisition and new methods for tomographic inversion. A SP map and three static SP tomographies have been carried out to better analyse the groundwater circulation system and to better reconstruct the geometry of the landslide body. In the accumulation zone, which is the area more exposed to the geomorphological activity, a new SP measuring strategy has been applied. This strategy, based on time-continuous 2D SP tomographies, helps identify water flow changes in subsurface by studying the time series of SP tomographic images. The analysis of time-dependent changes of water infiltration in near surface is the key to better understand the hydrogeological processes underlying the ground instability phenomena. The time-lapse analysis of tomographic images has allowed us not only to investigate the correlation between the temporal changes of SP signals and rainfall events, but also to quantify the range of these changes. The modification of the distribution of the SP source accumulation zones is associated with the dynamics of the groundwater flows. These preliminary results allow us to consider the SP tomographic method as a tool for geophysical monitoring of landslide areas and encourage to develop new measuring systems for near-real time applications. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00137952
Volume :
88
Issue :
3/4
Database :
Academic Search Index
Journal :
Engineering Geology
Publication Type :
Academic Journal
Accession number :
23352713
Full Text :
https://doi.org/10.1016/j.enggeo.2006.09.014