T23. Analysis and management of coastal areas, from risk assessment to perspectives arising from new technologies

Coastal areas are highly exposed to multiple natural and anthropic hazards. Risk in this environment is exacerbated by the ongoing global warming that triggers accelerated sea-level rise and changes in intensity and frequency of extreme meteorological events. In addition, approximately 80 percent of the world's coasts are rocky cliffs of varying heights, which are subject to collapse and erosion with a retreat rate that is generally not constant over time and varies depending on the rock masses features. Meeting these challenges and proficiently overseeing coastal cities and environments necessitates an increasing demand for advanced tools and technologies. In recent years, remote sensing, machine learning, deep learning and computer vision methodologies have gained increasing attention in various fields of research, including studies in coastal environment. This session welcomes contributions focusing on: a) modelling approaches for coastal risk assessment, b) influence of coastal dynamics on coastal infrastructures, c) multi-risk assessment of the coastal zone, d) the impact of erosion, flooding, and salinization on natural environments, infrastructures, socioeconomic assets and heritage sites, e) application of innovative techniques of Artificial Intelligence (AI) for the analyses of data collected in coastal area, f) development of new techniques of remote survey and sensing for coastal environment.
 
CONVENERS: Giovanni Scicchitano (Università di Bari), Giovanni Scardino (Università di Bari), Pietro P. C. Aucelli (Università di Napoli Parthenope), Marco Anzidei (INGV), Francesco Faccini (Università degli Studi di Genova), Danilo Godone (CNR Torino).

giovanni.scicchitano@uniba.it