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Modeling and mitigation of noise on the A23 motorway using GIS

dc.contributor.authorCarvalho, António
dc.contributor.authorCavaleiro, Victor
dc.contributor.authorAlbuquerque, António
dc.contributor.authorSilva, Flora
dc.date.accessioned2018-10-10T10:28:42Z
dc.date.available2018-10-10T10:28:42Z
dc.date.issued2018
dc.description.abstract1. Introduction – Studies have shown that the European citizens of the European Community, in 2000, were exposed to noise from road traffic with a total equivalent sound pressure level (L) exceeding 55dBA in more than 44% of the population, i.e. around 210 million people [1], [2]. In fact, exposure to high noise levels can result not only in auditory consequences, but also in hearing loss, as well as non-auditory consequences, such as sleep disorders, mental illness, anxiety, problems with speech intelligibility, physical performance [3]. The present study aims to perform the modeling and characterization of environmental noise for the A23 motorway in the section between Castelo Branco and Alcains (Portugal) using commercial noise forecasting software in order to contribute to its mitigation. 2. Experimental - The method of calculating the model for indicators, and for road traffic noise, is the French calculation method NMPB-Routes-96 (French standard XPS 31-133, [4]). As regards the entry data concerning the issue, these documents refer to the Guide du bruit des transports terrestres, fascicule prévision des niveaux sonores, CETUR, 1980. 3. Results and Discussion - An example of the noise map model is shown in the Image 1, for the section between Castelo Branco and Alcains. After the creation of the model and the generation of the Noise Maps for different indicators, the model was validated with road measuremenst. Information on the population and land use in the study area was also compiled. Land uses of the non-sensitive buildings and sensitive buildings were identified, these being the residential or mixed buildings. 4. Conclusions - The model presented can displaying relevant and accurate information about the spatial distribution of noise around the infrastructures and can be used for supporting the municipal decision makers in the elaboration of their noise maps or for proving several activities which generates noise. 5. References [1] C. Schreyer, C. Schneider, M. Maibach, W. Rothengatter, C. Doll, and D. Schmedding, External Cost of Transport. Update study, 2004. [2] S. Banfi et al., External Costs of Transport, no. March, 2000. [3] L. U.-W. H. O. WHO, “Preamble to the Constitution of the World Health Organization as adopted by the International Health Conference, New York, 19-22 June, 1946”, Geneva, Switzerland, p. 2. [4] CERTU, CSTB, LCPC, SETRA, “Bruit des infrastructures routières : méthode de calcul incluant les effets météorologiques, version expérimentale NMPB-Routes-96”, Journal Officiel du 10 mai 1995, Article 6º and in the French standard ‘XPS 31-133’, p. 98, 1997.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCarvalho, António; Cavaleiro, Victor; Albuquerque, António; Silva, Flora (2018). Modeling and mitigation of noise on the A23 motorway using GIS. In EGTEIC - Environment, Green Technology and Engineering International Conference. Cáceres, Espanhapt_PT
dc.identifier.isbn978-84-17238-86-5
dc.identifier.urihttp://hdl.handle.net/10198/18035
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleModeling and mitigation of noise on the A23 motorway using GISpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCáceres, Espanhapt_PT
oaire.citation.titleEGTEIC - Environment, Green Technology and Engineering International Conferencept_PT
person.familyNameSilva
person.givenNameFlora
person.identifier.ciencia-idC414-C558-D837
person.identifier.orcid0000-0001-6701-7390
person.identifier.scopus-author-id56447878600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication3d0a65e9-daee-4080-85fd-eec624f0d48a
relation.isAuthorOfPublication.latestForDiscovery3d0a65e9-daee-4080-85fd-eec624f0d48a

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