In the last decade, Low Cost Carriers (LCCs) have increased greatly, both in terms of number of flights and the number of passengers. This growth has occurred mainly in secondary airports, where air-transport was previously generally private and/or military. The large increase in LCCs coupled with the consolidated urbanization around the secondary airports has caused a substantial problem with environmental noise pollution. Currently, noise levels can be predicted using advanced numerical models that require many inputs to give reliable results, substantial computational resources, and high level know-how. For local communities and institutions, the implementation of such prediction models is often not possible, and, at the same time, air-transport companies are not always required by law to predict noise impact induced by changing flight operations. Here, an effective low cost model for predicting noise levels around airports is presented. It is an advanced segmentation model that is easily implemented. The model has been calibrated using a case study referring to field noise measurements and predictions using consolidated models, such as INM (Integrated Noise Model, USA) and TNIP (Transparent Noise Information Package, Australia). The results demonstrate good reliability, both in single event simulations and noise contour predictions. Finally, the model has been applied to the planning of the third airport in Rome.

BENEDETTO A (2009). Environmental impact of the deregulation of air-transport: evaluation of the noise level around secondary airports. THE OPEN ENVIRONMENTAL ENGINEERING JOURNAL, 2, 9-20.

Environmental impact of the deregulation of air-transport: evaluation of the noise level around secondary airports

BENEDETTO, ANDREA
2009

Abstract

In the last decade, Low Cost Carriers (LCCs) have increased greatly, both in terms of number of flights and the number of passengers. This growth has occurred mainly in secondary airports, where air-transport was previously generally private and/or military. The large increase in LCCs coupled with the consolidated urbanization around the secondary airports has caused a substantial problem with environmental noise pollution. Currently, noise levels can be predicted using advanced numerical models that require many inputs to give reliable results, substantial computational resources, and high level know-how. For local communities and institutions, the implementation of such prediction models is often not possible, and, at the same time, air-transport companies are not always required by law to predict noise impact induced by changing flight operations. Here, an effective low cost model for predicting noise levels around airports is presented. It is an advanced segmentation model that is easily implemented. The model has been calibrated using a case study referring to field noise measurements and predictions using consolidated models, such as INM (Integrated Noise Model, USA) and TNIP (Transparent Noise Information Package, Australia). The results demonstrate good reliability, both in single event simulations and noise contour predictions. Finally, the model has been applied to the planning of the third airport in Rome.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/157232
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact