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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-02022009-135038


Tipo di tesi
Tesi di laurea specialistica
Autore
ASCARI, ELENA
URN
etd-02022009-135038
Titolo
Traffic model uncertainty for noise mapping
Dipartimento
SCIENZE MATEMATICHE, FISICHE E NATURALI
Corso di studi
FISICA APPLICATA
Relatori
Relatore Prof. Licitra, Gaetano
Parole chiave
  • environmental noise directive
  • noise mapping
  • traffic model
Data inizio appello
12/03/2009
Consultabilità
Parziale
Data di rilascio
12/03/2049
Riassunto
After the European Parliament published the Environmental Noise Directive 2002/49/CE (END) and the implementation by Member States in their own legislation, they had to use the same evaluation methods to analyse noise pollution and same indicators suggested by the END (LDEN end LNight). The aim of the END is an international comparison between European countries, through strategic noise mapping and action planning. Moreover noise mapping is nowadays the principal way for Italian public administration to manage noise pollution and to draw up acoustic mitigation plans. So municipalities ought to have reliable and dynamic maps, easily modifiable, to mirror changes over traffic flow circulation. Following this approach, this work is focused on setting up Pisa road noise map based on a traffic model. Because of lots of inputs data requested, it's necessary to evaluate accuracy of final product based upon goodness of inputs. This evaluation has been carried out by the European commission and officially published in 2007 as the Good Practice Guide. This paper will apply this guide to verify reliability of suggested accuracy in noise mapping and to evaluate uncertainty associated with predicted noise levels , when measurements are used to validate mathematical models.

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