Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/54686
Type of publication: Konferencijų tezės nerecenzuojamuose leidiniuose / Conference theses in non-peer-reviewed publications (T2)
Field of Science: Ekologija ir aplinkotyra / Ecology and environmental sciences (N012)
Author(s): Miškinytė, Auksė;Dėdelė, Audrius;Keblytė, Miglė
Title: The evaluation of noise pollution from railways
Is part of: Environmental health perspectives. Research Triangle Park, USA : National Institute of Environmental Health Sciences, 2016, Vol. 124
Extent: p. 376-376
Date: 2016
Series/Report no.: (Environmental health perspectives. 0091-6765)
Note: Abstract Number: P1-376; ID: 3780. EHP : 28th annual conference International Society for Environmental epidemiology "Old and new risks: challenges for environmental epidemiology", Rome, Italy, 1–4 September 2016 : abstracts
Keywords: Geležinkelio triukšmas;Traukinių tipai;Triukšmo tarša;Noise pollution;Railway noise;Train types
Abstract: Introduction: Railway traffic is one of the main sources of noise pollution in urban areas related with adverse effects on human health. We examined the noise levels from different types of rail transport according to the distance from the railway line and evaluated the number of exposed households. Methods: The measurements of noise level from the different types of trains (electric passenger, diesel passenger and diesel freight) were carried out in three places in Kaunas city, Lithuania. Noise levels from railways have been measured at a 10 and 40 meter distance from the railway line to identify the highest noise level of the homes closest to the railway. To determine the efficiency of noise barriers we measured sound level before and after the barrier. Brüel & Kjær 2250 portable sound level meter was used for noise measurements made with the A-weighting scale (dBA). In order to assess the number of households exposed to the highest level of noise geographic information system (GIS) was used to create a 10 and 40 meters buffer zone along the railway line. A spatial join was performed that allowed to append the attributes of households to the attributes of noise level. Results: The mean level of noise from electric passenger, diesel passenger and diesel freight trains at a distance of 10 meters from the railway line were 71 dBA, 74 dBA and 82 dBA. At a distance of 40 meters from the railway line the noise levels decreased and were 65 dBA, 68 dBA and 75 dBA, respectively. The results showed that the noise level from all types of trains was higher than 65 dBA. We found that 929 households were exposed to noise level greater than 65 dBA. The study showed that noise barriers significantly reduced the noise level from railways by 17 percent. Conclusions: The present study revealed that high number of households was exposed to high-level noise from railway traffic. The implementation of noise barriers would significantly reduce noise level in residential areas
Internet: https://ehp.niehs.nih.gov/doi/abs/10.1289/isee.2016.3780
Affiliation(s): Aplinkotyros katedra
Gamtos mokslų fakultetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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