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Open AccessArticle

Measurement and Prediction of Railway Noise Case Study from Slovakia

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Faculty of Wood Sciences and Technology, Department of Physics, Electrical Engineering and Applied Mechanics, Technical University in Zvolen, T.G Masaryka 24, 96001 Zvolen, Slovakia
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Faculty of Wood Sciences and Technology, Department of Fire Protection, Technical University in Zvolen, T.G Masaryka 24, 96001 Zvolen, Slovakia
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National Forest Centre, Forest Research Institute, 96001 Zvolen, Slovakia
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Faculty of Forestry, Department of Forest Harvesting, Logistics and Amelioration, Technical University in Zvolen, T. G. Masaryka 24, 96001 Zvolen, Slovakia
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Institute of Foreign Languages, Technical University in Zvolen, T. G. Masaryka 24, 96053 Zvolen, Slovakia
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Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(10), 3616; https://doi.org/10.3390/ijerph17103616
Received: 24 April 2020 / Revised: 18 May 2020 / Accepted: 19 May 2020 / Published: 21 May 2020
(This article belongs to the Section Environmental Analysis and Methods)
The paper deals with comparing the measurement of noise from the railroads in the residential zone of the town of Zvolen with the results calculated using the prediction methods “Schall 03“ (Deutsche Bundesbahn, 1990) and “Methodical instructions for the calculation of sound pressure level from transport” (MPVHD). The first is used in the Slovakia and second in the Czech Republic. The measurement results and the results obtained from the prediction methods for both measurement locations were evaluated graphically and statistically. The evaluation of the conformity of the measurement with the prediction showed that the results obtained using the method “Schall 03” are in better agreement with the measurement. View Full-Text
Keywords: noise; prediction; rail transport; noise maps; CadnaA noise; prediction; rail transport; noise maps; CadnaA
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MDPI and ACS Style

Němec, M.; Danihelová, A.; Gergeľ, T.; Gejdoš, M.; Ondrejka, V.; Danihelová, Z. Measurement and Prediction of Railway Noise Case Study from Slovakia. Int. J. Environ. Res. Public Health 2020, 17, 3616.

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