Research area: Applied Earth Sciences
Coordinators: Claudia Meisina, Massimiliano Bordoni, Farncesco Zucca, Matteo Crozi
ERC sectors: PE10_20 Geohazards, PE10_17 Hydrology, hydrogeology, engineering and environmental geology, water and soil pollution, PE10_14 Earth observations from space/remote sensing
1. Identification of subsidence mechanisms using A-DInSAR satellite data
Using A-DInSAR satellite data, the predisposing and triggering factors of subsidence phenomena are identified. Interferometric data are integrated with geognostic, geotechnical, and hydrogeological data and validated using in-situ monitoring instruments. The methodologies are implemented in various geological contexts, such as lowland areas subject to moderate rates of subsidence, in areas with overlapping processes, and in areas subject to water resource exploitation.
2. Characterization of the shrinkage phenomenon of clayey soils
The shrinkage phenomenon is quantified through laboratory tests and compared with A-DInSAR satellite data to identify the associated subsidence component.
3. Characterization and monitoring of aquifers using A-DInSAR techniques
The aim of this research line is to use ground deformation measurements provided by A-DInSAR techniques to characterize aquifer parameters in confined and semi-confined conditions and their variations over time, such as storage coefficient and compressibility.
4. Development of geological and engineering investigation methodologies aimed at reconstructing the geological model of the subsurface
The aim of this research line is to test and compare investigation techniques for the geological and engineering characterization of soils for the purpose of creating 3D subsurface models, including through the use of CPTU tests. The developed models also provide the basis for hydrogeological and geomechanical modeling of aquifers.
Instituto Geológico y Minero de España (IGME), Università di Alicante, Università di Padova, Dokuz Eylul University, University of Jordan, Consorzio di Bonifica di secondo grado per il Canale Emiliano Romagnolo, Royal Society for the Conservation of Nature - Azraq Wetland Reserve, British Geological Survey, DEltares, Università di Napoli Federico II, Università di Parma, Regione Emilia-Romagna, Pagani Geotechnical Equipment, Università di Pisa, Institut Teknologi Bandung
1. Sustainable groundwater RESources managEment by integrating eaRth observation deriVed monitoring and flOw modelIng Results (RESERVOIR), Partnership for Research and Innovation in the Mediterranean Area, PRIMA SECTION 1 RIA Sustainable groundwater management in water-stressed Mediterranean areas (sito)
2. UNESCO IGCP 663 (2018-2021) "Impact, Mechanism, Monitoring of Land Subsidence in Coastal cities" (sito)
3. ResEau 2 - Production des connaissances et appuis institutionnels pour une gestion intégrée des ressources en eau au Tchad, finanziato dal Bureau de Coopération Suisse au Tchad (sito)
Rygus, M.; Novellino, A.; Hussain, E.; Syafiudin, F.; Andreas, H.; Meisina, C. (2023). A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia). Remote Sens. 2023, 15, 3776. https://doi.org/10.3390/rs15153776
Navarro-Hernández M.I., Tomás R., Valdes-Abellan J., Bru G., Ezquerro P., Guardiola-Albert C., Elçi A., Aysu Batkan E., Caylak B., Ören A.H., Meisina C., Pedretti L., Rygus M., (2023) Monitoring land subsidence induced by tectonic activity and groundwater extraction in the eastern Gediz River Basin (Türkiye) using Sentinel-1 observations, Engineering Geology, Volume 327, 2023,107343, ISSN 0013-7952, https://doi.org/10.1016/j.enggeo.2023.107343.
Bonì, R., Meisina, C., Teatini, P., Zucca, F., Zoccarato, C., Franceschini, A., Ezquerro, P., Béjar-Pizarro, M., Antonio Fernández-Merodo, J., Guardiola-Albert, C., Luis Pastor, J., Tomás, R., Herrera, G. (2020). 3D groundwater flow and deformation modelling of Madrid aquifer, Journal of Hydrology (2020), doi: https://doi.org/10.1016/j.jhydrol.2020.124773, WOS:000544230000036, 2-s2.0-85081036366.
Bonì R., Pilla G. and Meisina C. (2016). Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis. Remote Sens., 8, 686, 1-24; 22 August 2016, ISSN: 20724292, doi: 10.3390/rs8080686, Codice Scopus: 2-s2.0-84983791859, WOS:000382458700072.