Giorgio De Donno
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About
Dr. Giorgio De Donno is a Lecturer at Sapienza University of Rome, Italy. His research focuses on geophysical methods, particularly in areas such as geophysical inversion, machine learning applications for environmental assessments, and seismic hazard evaluation. Recent works include optimizing tomographic data for various applications and investigating coastal aquifers and seismic faults using advanced geophysical techniques.
Recent Grants
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Development of a hydro-geophysical model for estimating environmental vulnerability: a new tool for mapping salinity on coastal aquifers
Open Date: 2019-12-01
Close Date: 2021-11-01
Grant: Close
Numerical modelling and joint inversion of seismic and georadar data for application on airport pavements
Open Date: 2013-07-01
Close Date: 2015-06-01
Articles (8)
Year:
2025
Year:
2024
Many coastal areas are affected by groundwater salinization due to the unsustainable use of groundwater resources. For a cost‐effective quantitative assessment of groundwater resources, electrical resistivity (ER) tomography is often used as a standalone geophysical technique. In this paper, we present an application of the integration of direct‐current ER and full‐decay‐induced polarization (IP) method at the Pontina Plain (Central Italy). The case study is a coastal area in Central Italy prone to salinization due to both geological and anthropogenic factors. To achieve these goals, we inverted full‐decay time‐domain electrical data for Cole–Cole parameters. The resulting multi‐parameter model provides a first approximation prediction of the permeability, employing well‐established empirical relationships with the electrical parameters. We demonstrated that our approach: (i) can locate highly conductive zones directly related to saline intrusion inland using the resistivity as a fast proxy; (ii) can remove the ambiguity in the detection of clay/silt layers in the near‐surface; and (iii) permit a prediction of the permeability, employing full‐decay inversion of time‐domain electrical data. However, the extremely conductive environment prevents the use of IP data for the reconstruction of deep layers or detection of the salt wedge front. Therefore, this approach can be used for hydro‐geophysical screening and monitoring of salinization‐prone sites, where strong limitations to direct inspection exist due to external constraints (e.g., protected lands).
Year:
2023
Year:
2023
Year:
2023
Year:
2021
Year:
2020
Year:
2020
Collaborators (2)
Ester Piegari
University of Naples Federico II
Michele Cercato
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