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MODELING OF SOUND FEATURES FROM SIGNALS OF TECHNICAL OBJECTS IN THE ENVIRONMENT OF ROAD NOISE POLLUTION

Waldemar Paszkowski

First published: 2018-06-20https://doi.org/10.5593/sgem2018/5.1/s20.070View metrics

Abstract

The article presents a way of identifying and modeling sound features in an urbanized environment. The subject of article is focused on the problem of noise pollution modeling coming from moving technical objects, i.e. vehicles that are potential sources of noise. In this case, the vehicles are treated as multi-source acoustic energy emission objects. The proposed approach assumes the occurrence of variable relations in the system: source-path propagation-receiver. In the presented method the information carrier is registered acoustic signal in the receiver. In general, in the case of road noise we deal with non-stationary signals over time, characterized by a variable frequency of acoustic events and sound levels. Information derived from the acoustic signal in time and frequency domain can be represented by appropriate quantitative and qualitative features. In particular, the proposed method takes into consideration the objective and subjective representation of the space of sound features reflecting the state of noise pollution in the environment. In order to determine the noise pollution assessment, it was assumed to use the patterns of representation of the acoustic signal features. The effect of the research will be the elaboration of the methodology for evaluation of pollution of road noise with the use of subjective sound features.

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Publication details

Title
MODELING OF SOUND FEATURES FROM SIGNALS OF TECHNICAL OBJECTS IN THE ENVIRONMENT OF ROAD NOISE POLLUTION
Authors
Waldemar Paszkowski
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2018
Pages
541-548
SWS Citekey
Paszkowski201820541548
ISSN
1314-2704
ISBN
978-619-7408-46-1
Language
en
Publication type
Conference Paper
Keywords
References12
  1. Brodny J., Tutak M., Analysis of gases emitted into the atmosphere during an endogenous fire. SGEM Vienna GREEN Extended Scientific Sessions, Conference Proceedings, Book 4 Vol. 3, pp.75-82, 2016.

  2. Brodny J., Tutak M., Analysis of methane emission into the atmosphere as a result of mining activity. SGEM Vienna GREEN Extended Scientific Sessions, 2016, Book 4 Vol. 3, pp 83-90, 2016.

  3. Kempen van E., Staatsen B., Kamp van I., Selection and evaluation of exposure-effect-relationships for health impact assessment in the field of noise and health, RIVM report 630400001, 2005.

  4. Good practice guide on noise exposure and potential health effects, European Environment Agency Technical report 11, 2010.

  5. Rozporządzenie ministra środowiska z dnia 1 października 2012r. zmieniające rozporządzenie w sprawie dopuszczalnych poziomów hałasu w środowisku, Dz.U. 2012 poz.1109.

  6. Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise.

  7. Ishima, T., and T. Hashimoto., The impact of sound quality on annoyance caused by road traffic noise: An influence of frequency spectra on annoyance. JSAE Review 21(2):225–30, 2000.

  8. Fastl H., Zwicker E., Psychoacoustics: Facts and models, 3rd Edition Springer-Verlag, Germany, 1990,1999, 2007.

  9. Paszkowski W., Loska A., The use of data mining methods for the psychoacoustic assessment of noise in urban environment. Proceedings of 17th International Multidisciplinary Scientific GeoConference. Ecology, Economics, Education and Legislation. Ecology and Environmental Protection, vol. 17, Issue 52, 2017, pp 1059-1066, 2017.

  10. Paszkowski W., Loska A., The use of neural network model in the assessment of annoyance of the industrial noise sources. In: Burduk A., Mazurkiewicz D. (eds) Intelligent Systems in Production Engineering and Maintenance – ISPEM. Advances in Intelligent Systems and Computing, vol. 637, pp 428-439, 2017.

  11. Kim Y., Nelson P.A., Spatial resolution limits for the reconstruction of acoustic source strength by inverse methods, JSV 265(3), pp. 583-608, 2003.

  12. Méline J., Van Hulst A., Thomas F., Karusisi N., Chaix B.. Transportation noise and annoyance related to road traffic in the French RECORD study. International Journal of Health Geographics, pp. 12:44, 2013.

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