Noise Events Monitoring for Urban and Mobility Planning in Andorra la Vella and Escaldes-Engordany
Visualitza/Obre
Autor/a
Alsina Pagès, Rosa Maria
García Almazán, Robert
Vilella, Marc
Pons, Marc
Altres autors/es
Universitat Ramon Llull. La Salle
Observatori de la Sostenibilitat d'Andorra
Andorra Innovation HUB
Data de publicació
2019-03Resum
Noise pollution is a critical factor and it has an important impact on public health, with the relationship between road traffic noise (RTN) and several illnesses in urban areas of particular concern. Andorra is currently developing a national strategy regarding noise pollution in their urban environments. The Ministry of Environment, Agriculture and Sustainability is trying to to identify, monitor, map and model the effects of noise pollution and design mitigation policies to reduce the impact in certain priority areas. This analysis should take into account the existence of different types of anomalous noise events (ANEs) present in the street, e.g., horns, people talking, music, and other events that coexist with RTN, to characterize the soundscape of each of the locations. This paper presents a preliminary analysis considering both the Signal-to-Noise Ratio (SNR) and the duration of the ANEs to evaluate their presence in urban areas in the three different locations in Andorra la Vella and Escaldes-Engordany. The experiments conducted required a 10-h recording campaign distributed in the three locations under study, which was evaluated on two different days, one during the week and the other on the weekend. Afterwards, the data were carefully labeled and the SNR of each event was evaluated to determine the potential impact of the four categories under study: vehicles, works, city life and people.
Tipus de document
Article
Versió publicada
Llengua
English
Paraules clau
Soroll Urbà
Circulació--Soroll
Soroll
Pàgines
17 p.
Publicat per
MDPI
Publicat a
Environments. 2019. Vol. 6, No.2
Número de l'acord de la subvenció
info:eu-repo/grantAgreement/URL i La Caixa/Intensificació recerca PDI/2018-URL-IR2nQ-038
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