Abstract
The Environmental Noise Directive (END) requires that regular updating of noise maps is implemented every five years to check and report about the changes occurred during the reference period. The updating process is usually achieved using a standardized approach, consisting in collating and processing information through acoustic models to produce the updated maps. This procedure is time consuming and costly, and has a significant impact on the budget of the authorities responsible for providing the maps. Furthermore, END requires that simplified and easy-to-read noise maps are made available to inform the public about noise levels and actions to be undertaken by local and central authorities to reduce noise impacts. To make the updating of noisemaps easier and more cost effective, there is a need for integrated systems that incorporate real-time measurement and processing to assess the acoustic impact of noise sources. To that end, a dedicated project, named DYNAMAP (DYNamic Acoustic MAPping), has been proposed and co-financed in the framework of the LIFE 2013 program, with the aim to develop a dynamic noise mapping system able to detect and represent in real time the acoustic impact of road infrastructures. In this paper, after a comprehensive description of the project idea, objectives and expected results, the most important steps to achieve the ultimate goal are described.
References
[1] END Directive 2002/49/EC of the European parliament and the Council of 25 June 2002 relating to the assessment and management of environmental noise, Oflcial Journal of the European Communities, L 189/12, (2002). Search in Google Scholar
[2] Report on the state of the art of dynamic noise mapping, Dynamap deliverable Search in Google Scholar
[3] Czyzewski Andrzej and Szczodrak Maciej Software for calculation of noise maps implemented on supercomputer, Pracownia Poligraficzna, (2009) pp 363–378 Vol. TQ4131. Search in Google Scholar
[4] Szczodrawk Maciej, et al., Creating Dynamic Maps of Noise Threat Using PL-Grid Infrastructure Archives of Acoustics, PAN (2013), Vols. 38 No 2 pp 235–242. Search in Google Scholar
[5] Wei Weigang and Van Renterghem Timothy, Monitoring sound exposure by real time measurement and dynamic noise map, Forum Acusticum 2014 proceedings, Krakow EAA (2014). Search in Google Scholar
[6] Andrea Cerniglia, Dal monitoraggio acustico al modello numerico: le tappe di un percorso fondamentale, 1∘ Convegno nazionale sulla governance del rumore ambientale,Ischia (2009) Search in Google Scholar
[7] Andrea Cerniglia, Mariagiovanna Lenti, Monitoraggio acustico continuo sul lungo periodo: sintesi dei risultati, 14 Congresso Nazionale CIRIAF, Perugia, 4–5 aprile 2014 Search in Google Scholar
[8] Brambilla Giovanni, Cerniglia Andrea and Verardi Patrizio, New Potential of long term real time noise monitoring systems, EuroNoise 2006 Proceedings, Tampere (2006). Search in Google Scholar
[9] Manvell D., et al., SADMAM – Combining Measurements and Calculations to Map Noise in Madrid, Internoise proceeding, Prague (2004). Search in Google Scholar
[10] Bennet G., et al., Environmental noise mapping using measurements in transit, ISMA 2010 Proceedings (2010). Search in Google Scholar
[11] Maisonneuve Nicolas, et al., NoiseTube: Measuring and mapping noise pollution with mobile phones, Information Technologies in Environmental Engineering. Thessaloniki (2009). 10.1007/978-3-540-88351-7_16Search in Google Scholar
[12] Stevens Matthias Community memories for sustainable societies: The case of environmental noise, Graduation thesis, Brussels (2012). Search in Google Scholar
[13] www.senseable.it Search in Google Scholar
[14] A. Temko; “Acoustic Event Detection and Classification”, PhD thesis, Universitat Politècnica de Catalunya, Spain, 2007. Search in Google Scholar
[15] J. Socoró, G. Ribera, X. Sevillano, F. Alías; “Development of an anomalous noise event detection algorithm for dynamic road traflc noise mapping”, Proc. 22nd International Congress on Sound and Vibration, 2015. Search in Google Scholar
[16] G. Zambon, R. Benocci, A. Bisceglie; “Development of optimized algorithms for the classification of networks of road stretches into homogeneous clusters in urban areas”, Proc. 22nd International Congress on Sound and Vibration, 2015. Search in Google Scholar
[17] Carmona del Río F.J., Escobar V.G., Carmona J.T., Vílchez-Gómez R., Méndez Sierra J.A., Rey Gozalo G., Barrigón Morillas J.M. (2011), A Street Categorization Method to Study Urban Noise: The Valladolid (Spain) Study, Environmental Engineering Science, 28(11), 811–817. 10.1089/ees.2010.0480Search in Google Scholar
[18] Rey Gozalo G., Barrigón Morillas J.M., Gajardo C.P. (2015), Urban noise functional stratification for estimating average annual sound level, J. Acoust. Soc. Am., 137(6), 3198–3208. 10.1121/1.4921283Search in Google Scholar PubMed
[19] Barrigon J.M., Gomez V., Mendez J., Vilchez R., and Trujillo J. (2005). A categorization method applied to the study of urban road traflc noise. J. Acoust. Soc. Am. 117, 2844–2852. 10.1121/1.1889437Search in Google Scholar PubMed
[20] Brambilla G., and Gallo V. (2010). Andamenti dei livelli LAeq orari nelle 24 ore del rumore urbano e indicazioni per il campionamento spaziale stratificato (Patterns of 24 h hourly LAeq of urban noise and indications for stratified spatial sampling). Presented at AIA 2010, Siracusa, Italy, May 26–28. Search in Google Scholar
[21] Angelini F., Bisceglie A., Brambilla G., Gallo V., and Zambon G. (2012). Campionamento spaziale stratificato per il rumore da traflco stradale: un’applicazione alla rete viaria di Milano (Stratified spatial sampling of road traflc noise: a case study of the road network in Milan), Presented at AIA 2012, Roma, Italy, July 4–6. Search in Google Scholar
[22] French standard XPS 31-133. Acoustic – Road and railway traflc noise – Calculation of sound attenuation during outdoor propagation, including meteorological effects (2001). Search in Google Scholar
[23] Zambon G., Bisceglie A., Radaelli S., Sensitivity analysis of the acoustic calculation model with respect to environmental variables inside and outside urban areas, ICSV22 Proceedings (2015). Search in Google Scholar
[24] ISO 9613-2:2005 Acoustics – Description, assessment andmeasurement of environmental noise. Part 2: Determination of environmental noise levels. Search in Google Scholar
[25] Penton, S., Chadder, D., Stiebert, S. and Sifton, V. The effect of meteorology and terrain on noise propagation – Comparison of five modelling methodologies, Acoustics Week in Canada, (2002). Search in Google Scholar
[26] Bellucci, P. Influenza delle condizioni meteorologiche sul rumore da traflco stradale, Proceedings of 34∘ Convegno Nazionale Associazione Italiana di Acustica (2007). Search in Google Scholar
[27] Cadna/A, DataKustik, Instructions for use. Search in Google Scholar
[28] S. Furui; Cepstral analysis technique for automatic speaker verification, IEEE Transactions on Acoustics, Speech and Signal Processing, 29(2): 254–272, (1981). 10.1109/TASSP.1981.1163530Search in Google Scholar
[29] S. Radaelli, P. Coppi, A. Giovanetti, R. Grecco; “The LIFE DYNAMAP project: automating the process for pilot areas location”, Proc. 22nd International Congress on Sound and Vibration, 2015. Search in Google Scholar
[30] F. Alías, J.C. Socoró, X. Sevillano, L. Nencini; “Training an anomalous noise event detection algorithm for dynamic road traflc noise mapping: environmental noise recording campaign”, Proc. TecniAcústica, 2015. Search in Google Scholar
[31] L. Nencini; “DYNAMAP monitoring network hardware development”, Proc. 22nd International Congress on Sound and Vibration, 2015. Search in Google Scholar
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