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Monitoring for Coastal Resilience: Preliminary Data from Five Italian Sandy Beaches

1
Istituto Superiore per la Protezione e la Ricerca Ambientale, 00144 Rome, Italy
2
Department of DICEA, Università Politecnica delle Marche, Ancona 60131, Italy
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Melito, L., Parlagreco, L., Perugini, E., Postacchini, M., Zitti, G., Brocchini, M. Monitoring for coastal resilience: A project for five Italian beaches. In Proceedings of the 2018 IEEE International Workshop on Metrology for the Sea, Bari, Italy, 8–10 October 2018; pp. 76–81.
Sensors 2019, 19(8), 1854; https://doi.org/10.3390/s19081854
Received: 15 March 2019 / Revised: 13 April 2019 / Accepted: 15 April 2019 / Published: 18 April 2019
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Abstract

Video-monitoring can be exploited as a valuable tool to acquire continuous, high-quality information on the evolution of beach morphology at a low cost and, on such basis, perform beach resilience analyses. This manuscript presents preliminary results of an ongoing, long-term monitoring programme of five sandy Italian beaches along the Adriatic and Tyrrhenian sea. The project aims at analyzing nearshore morphologic variabilities on a time period of several years, to link them to resilience indicators. The observations indicate that most of the beach width variations can be linked to discrete variations of sandbar systems, and most of all to an offshore migration and decay of the outermost bars. Further, the largest net shoreline displacements across the observation period are experienced by beaches with a clear NOM (Net Offshore Migration)-type evolution of the seabed. View Full-Text
Keywords: video-monitoring; beach morphological evolution; beach resilience; sand bars video-monitoring; beach morphological evolution; beach resilience; sand bars
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Parlagreco, L.; Melito, L.; Devoti, S.; Perugini, E.; Soldini, L.; Zitti, G.; Brocchini, M. Monitoring for Coastal Resilience: Preliminary Data from Five Italian Sandy Beaches. Sensors 2019, 19, 1854.

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