Foto del docente

Andrea Di Martino

Researcher art. 22 L. 240/10 (fixed-term)

Department of Biological, Geological, and Environmental Sciences

Collaborations

Collaboration with:
GSJ - Geological Survey of Japan
Country:
Japan
Description:
With the Geological Survey of Japan (GSJ), the research focused on reconstructing the depositional architecture of the Paleo-Kinu River paleovalley, located north of Tokyo. The study involved the use of high-density ambient noise measurements and HVSR (Horizontal-to-Vertical Spectral Ratio) analysis to image buried channel geometries and stratigraphic discontinuities. The HVSR-derived models are being integrated with sediment core and CPTU data to develop a high-resolution 3D subsurface framework, aimed at clarifying sedimentary processes, facies architecture, and their relevance to seismic response
Collaboration with:
DPRI - Disaster Prevention Research Institute, Kyoto University
Country:
Japan
Description:
Engaged in collaborative research with the Disaster Prevention Research Institute (DPRI) at Kyoto University, focusing on the seismic response of complex subsurface structures. The work involved the integration of geological and geophysical data to assess the effects of shallow stratigraphy and buried morphologies on ground motion amplification. A key component of the research was the development of a deep learning model for generating 3D shear-wave velocity maps from HVSR (Horizontal-to-Vertical Spectral Ratio) data.
Collaboration with:
U.S. Geological Survey
Country:
United States of America
Description:
In the US, as a visiting scientist, I worked with USGS scientists in Pasadena and Menlo Park, CA. I participated in many research and fieldwork activities related to subsurface modeling, seismic site characterization, and seismic response analysis in the Anza/Imperial Valley, Sierra Nevada, and Santa Barbara. My main activity was to evaluate the seismic site response using geology and Microtremor-based Horizontal to Vertical Spectral Ratio site characterizations. I also had the opportunity to join in developing and testing a new Minimized Site Characterization Approach [https://doi.org/10.5066/P9E1LIZ0]

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