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Creating Dynamic Maps of Noise Threat Using PL-Grid Infrastructure

Abstract

The paper presents functionality and operation results of a system for creating dynamic maps of acoustic noise employing the PL-Grid infrastructure extended with a distributed sensor network. The work presented provides a demonstration of the services being prepared within the PLGrid Plus project for measuring, modeling and rendering data related to noise level distribution in city agglomerations. Specific computational environments, the so-called domain grids, are developed in the mentioned project. For particular domain grids, specialized IT solutions are prepared, i.e. software implementation and hardware (infrastructure adaptation), dedicated for particular researcher groups demands, including acoustics (the domain grid “Acoustics”). The infrastructure and the software developed can be utilized mainly for research and education purposes, however it can also help in urban planning. The engineered software is intended for creating maps of noise threat for road, railways and industrial sources. Integration of the software services with the distributed sensor network enables automatic updating noise maps for a specific time period. The unique feature of the developed software is a possibility of evaluating auditory effects which are caused by the exposure to excessive noise. The estimation of auditory effects is based on calculated noise levels in a given exposure period. The outcomes of this research study are presented in a form of the cumulative noise dose and the characteristics of the temporary threshold shift.

Citations

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Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
Archives of Acoustics no. 38, pages 235 - 242,
ISSN: 0137-5075
Language:
English
Publication year:
2013
Bibliographic description:
Szczodrak M., Kotus J., Kostek B., Czyżewski A.: Creating Dynamic Maps of Noise Threat Using PL-Grid Infrastructure// Archives of Acoustics. -Vol. 38, nr. 2 (2013), s.235-242
DOI:
Digital Object Identifier (open in new tab) 10.2478/aoa-2013-0028
Verified by:
Gdańsk University of Technology

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