Processes for Noise Reduction in Urban Port Fronts

Federico Sollai;Roberto Baccoli;Andrea Medda;Gianfranco Fancello;Patrizia Serra;Paolo Fadda
2020-01-01

Abstract

As part of the LIST-PORT, Report and Decibel Project (Interreg IT-FR Marittimo Programme 2014–2020), which is included in a cluster of initiatives aimed at containing port noise, a synchronized traffic - noise survey campaign involving four ports in as many cities in the upper Tyrrhenian area, is now nearing completion. This paper describes the guidelines on the basis of which the traffic-noise surveys were conducted in the four ports and the types of data collected. In a second step of the study, these data will be used to train the predictive model of the sound pressures generated by traffic in ports, based on neural networks. The database presented in this work is thus the key element for the subsequent implementation of the predictive model which is currently in an advanced phase of development as part of another project in the cluster.
2020
Inglese
CComputational Science and Its Applications. ICCSA 2020 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VII
978-3-030-58819-9
978-3-030-58820-5
Springer
Osvaldo Gervasi, et al.
12255
29
39
11
20th International Conference on Computational Science and Its Applications - ICCSA 2020
Contributo
Esperti anonimi
1-4 Luglio 2020
Cagliari, Italia
internazionale
scientifica
Noise reduction; Urban port fronts; Artificial neural networks
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Sollai, Federico; Baccoli, Roberto; Medda, Andrea; Fancello, Gianfranco; Serra, Patrizia; Fadda, Paolo
273
6
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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