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Frequently updated noise threat maps created with use of supercomputing grid

Abstract

An innovative supercomputing grid services devoted to noise threat evaluation were presented. The services described in this paper concern two issues, first is related to the noise mapping, while the second one focuses on assessment of the noise dose and its influence on the human hearing system. The discussed services were developed within the PL-Grid Plus Infrastructure which accumulates Polish academic supercomputer centers. Selected experimental results achieved by the usage of the services proposed were presented. The assessment of the environmental noise threats includes creation of the noise maps using either offline or online data, acquired through a grid of the monitoring stations. A concept of estimation of the source model parameters based on the measured sound level for the purpose of creating frequently updated noise maps was presented. Connecting the noise mapping grid service with a distributed sensor network enables to automatically update noise maps for a specified time period. Moreover, a unique attribute of the developed software is the estimation of the auditory effects evoked by the exposure to noise. The estimation method uses a modified psychoacoustic model of hearing and is based on the calculated noise level values and on the given exposure period. Potential use scenarios of the grid services for research or educational purpose were introduced. Presentation of the results of predicted hearing threshold shift caused by exposure to excessive noise can raise the public awareness of the noise threats.

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Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Noise Mapping no. 1, edition 1, pages 32 - 39,
ISSN: 2084-879X
Language:
English
Publication year:
2014
Bibliographic description:
Szczodrak M., Kotus J., Czyżewski A., Kostek B.: Frequently updated noise threat maps created with use of supercomputing grid// Noise Mapping. -Vol. 1., iss. 1 (2014), s.32-39
DOI:
Digital Object Identifier (open in new tab) 10.2478/noise-2014-0004
Verified by:
Gdańsk University of Technology

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