GNGTS 2019 - Atti del 38° Convegno Nazionale

218 GNGTS 2019 S essione 1.4 this work we use a new approach that includes the possibility of velocity changes in the time series. This new approach allows us to estimate the variation in land subsidence rate due to, e.g., anthropic activity changes. The procedures adopted in the present work give hints about a possible correlation between changes in time series of well water level and CGNSS position and changes in the anthropic activities. Preliminary results of this study are shown during the meeting. References Baldi P., Casula G., Cenni N., Loddo F. and Pesci, A.; 2009: GPS-based monitoring of land subsidence in the Po Plain (Northern Italy). Earth Planet. Science Letts., 288 , 204-212, doi:10.1016/j.epsl.2009.09.023. Baldi, P., Casula, G., Cenni, N., Loddo, F., Pesci,A., Bacchetti, M.; 2011: Vertical ad horizontal crustal movements in Central and Northern Italy . Boll.Soc.Geol.It. (Ital. J. Geosci.), 52 , 4, 667-685. Bitelli, G., Bonsignore, F., & Uguendoli,M. (2000). Levelling and GPS network to monitor round subsidence in the Southern Po valley. Journal of Geodynamics, 30,355−369. Cenni N., Mantovani E., Baldi P. and Viti M.; 2012: Present kinematics of Central and Northern Italy from continuous GPS measurements. J. Geodyn., 58 , 62-72. Cenni, N., Viti, M., Baldi, P., Mantovani, E., Bacchetti, M.,Vannucchi, A.; 2013: Present vertical movements in central and northern Italy from GPS data: possible role of natural and anthropogenic causes . Journal of Geodynamics, 71 , 74-85. doi: 10.1016/j.jog.2013.07.004. Cenni, N., Baldi P., Belardinelli, M.E., Gandolfi, S., Loddo, F., Mantovani E., Viti M.; 2015: The GPS vertical kinematic pattern In the Italian peninsula: characteristics and anthropogenic geodynamic implications. Atti del 34° Convegno Nazionale del Gruppo Nazionale di Geofisica della Terra Solida, 2015. 1 , 96-102. Stramondo, S., Saroli, M., Tolomei, C., Moro, M., Doumaz, F., Pesci, A., F. Loddo, E. Boschi, (2007). Surface movements in Bologna (Po Plain - Italy) detected by multitemporal DInSAR. Remote Sensing of Environment, 110(3) , 304–316. https://doi.org/10.1016/j.rse.2007.02.023 Teatini, P., Ferronato, M., Gambolati, G., & Gonella, M., 2006. Groundwater pumping and land subsidence in the Emilia-Romagna coastland, Italy: Modeling the past occurrence and the future trend. Water Resources Research, 42(1), 1–19. https://doi.org/10.1029/2005WR004242. Teatini, P., Tosi, L., & Strozzi, T., 2011. Quantitative evidence that compaction of Holocene sediments drives the present land subsidence of the Po Delta, Italy. Journal of Geophysical Research: Solid Earth, 116(8) , 1–10. https:// doi.org/10.1029/2010JB008122. SPATIAL AND TEMPORAL EVOLUTION OF THE LAND SUBSIDENCE IN THE ITALIAN PENINSULA N. Cenni 1 , M. Fabris 2 , S. Fiaschi 3 , F. Loddo 4 1 Dipartimento di Geoscienze, Università degli Studi di Padova, Italy 2 Laboratorio di Rilevamento e Geomatica – Dipartimento di Ingegneria Civile, Edile e Ambientale, Università degli Studi di Padova, Italy 3 UCD School of Earth Sciences, University College Dublin, Ireland 4 Istituto Nazionale di Geofisica e Vulcanologia – Sezione di Bologna, Italy One major environmental problem in plain and coastal areas, river basins and deltas is land subsidence. In these territories, the loss of surface elevation may cause severe problems to natural ecosystems and human activities. The effects of climate changes such as more frequent extreme weather events and increased sea-level rise, are even more evident in territories already affected by subsidence. Therefore, the accurate quantification of subsidence rates is necessary to better understand the evolution of such phenomenon in space and time, mitigate the risk and protect natural ecosystems and socio-economic resources. Land settlement can be considered as a superposition of natural factors and anthropic activities. Tectonic movements, alluvial soil compaction and post-glacial rebound are the principal natural factors contributing to land subsidence. Groundwater overexploitation, oil and gas extraction and mining activities are the

RkJQdWJsaXNoZXIy MjQ4NzI=