New Approach to the Uncertainty Assessment of Acoustic Effects in the Environment

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Abstract

The acoustic climate assessment needed for the selection of solutions (technical, legal and organisational), which will help to minimise the acoustic hazards in the analysed areas, is realised on the basis of acoustic maps. The reference computational algorithms, assigned to them, require very thorough preparation of input data for the considered noise source model representing - in the best possible way - the acoustic climate. These input data are burdened with certain uncertainties in this class of computational tasks. The uncertainties are related to the problem of selecting proper argument values (from the interval of their possible variability) for the modelled processes. This situation has a direct influence on the uncertainty of acoustic maps.

The idea of applying the interval arithmetic for the assessment of acoustic models uncertainty is formulated in this paper. The computational formalism assigned to the interval arithmetic was discussed. The rules of interval estimations for the model solutions determining the sound level distribution around the analysed noise source - caused by possible errors in the input data - were presented. The application of this formalism was illustrated in uncertainty assessments of modelling acoustic influences of the railway noise linear source on the environment.

Batko W., Pawlik P. (2011a), Application of the interval arithmetic in the reverberation time uncertainty assessment, DAGA 2011 ‘Sounds good’ The 37th Annual Conference for Acoustics in Düsseldorf.

Batko W., Pawlik P. (2011b), Application of interval arithmetic to uncertainty evaluation in modelling of effects with uncertain parameters, XVIII Conference on Acoustic and Biomedical Engineering, Kraków - Zakopane.

Calculations and Measurements of Railway Traffic Control ‘96 [in Dutch: Reken-en Meetvoorschrift Railverkeerslawaai '96] Ministry of Housing, Spatial Planning and the Environment [in Dutch: Ministerie Volkshuisvesting, Ruimtelijke Ordening en Milieubeheer], 20 November 1996.

Directive 2002/49/WE of the European Parliament and of the Council of 25 June 2002, Relating to the assessment and management of environmental noise, Official Journal of the European Communities, 18 July 2002.

Galias Z. (2003), Interval arithmetic for investigations of nonlinear systems [in Polish: Metody arytmetyki przedziałowej w badaniach układów nieliniowych], AGH University of Science and Technology Press, Kraków.

Good Practice Guide for Strategic Noise Mapping and the Production of Associated Data on Noise Exposure. Ver. 2., European Commission Working Group Assessment of Exposure to Noise (WG-AEN), 13 January 2006.

Moore R.E. (1962), Interval Arithmetic and Automatic Error Analysis in Digital Computing, Ph.D. Thesis, Stanford University.

Moore R.E. (1966), Interval Analysis, Prentice-Hall, Englewood Cliffs, NJ, USA.

Presenting Noise Mapping Information to the Public. A Position Paper from the European Environment AgencyWorking Group on the Assessment of Exposure to Noise (WG-AEN), March 2008.

Skrzypczyk J. (2010), Perturbation methods 1, New Algebraic Methodology, Applications in Mechanics and Acoustics [in Polish: Metody perturbacyjne 1, Nowa metodologia algebraiczna, Zastosowanie w mechanice i akustyce], Silesian University of Technology Press, Gliwice.

Archives of Acoustics

The Journal of Institute of Fundamental Technological of Polish Academy of Sciences

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