Bioengineering interventions, including beach nourishment, restoration of dune lines and dredging of the fishing port, to mitigate the erosion effects and preserve the landscape of one of the most appreciated and naturalistically relevant stretches of the Apulian coast.
This is the experience carried out in Ugento, identified as a pilot case within Triton project: it will be presented on Monday 28 September (10.00 – 12.00) in the online event “Coastal planning and the pilot case of Ugento”, organized by ARTI and Puglia Region, within the Interreg Greece – Italy Triton project.
The initiative aims at illustrating the main aspects of coastal planning in Puglia Region, with a particular focus on the actions implemented by the Municipality of Ugento, selected (together with Bari) as a case study within Triton project.
To receive the link to the streaming, please register at https://www.arti.puglia.it/eventi/triton-evento-online-pianificazione-costiera-e-il-caso-pilota-di-ugento, within 25 September at 12:00.
The online event will be moderated by Nicolò Carnimeo, from the University of Bari and introduced by Giuseppe Pastore, director of the Internationalization Section of the Apulia Region, who illustrates the activities of the Triton project. Coastal planning and sustainability in Apulia will be tackled by Giuseppe Roberto Tomasicchio, University of Salento, and Michele Chieco, Study and Support Section for Legislation and Guarantee Policies of the Apulian Regional Council. The actions carried out to mitigate the effects of erosion are presented by the mayor of Ugento, Massimo Lecci, by the head of the Ugento Municipality technical office, Luca Casciaro and by Simona Bramato, University of Salento and Municipality of Specchia. Elisa Furlan, CMCC – Mediterranean Center on Climate Change describes the analysis carried out within the Triton project on the pilot case of Ugento, consisting in the coast evolution trand over time, using remote sensing techniques, and the multi-scenario analysis, through the development and application of a probabilistic model based on the latest machine learning methodologies.