Impact of Air Transport on the Noise Level in the City of Burgas

Aviation, as every type of transport, is responsible for a number of negative external effects to the environment. The main goal of this study is to reveal the relation between the noise level in the urban areas near to the Burgas airport and the air traffic. Our main research tasks are: to make a l...

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Main Authors: Todorova Stela, Haralampiev Kaloyan
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/27/e3sconf_icesd2018_04003.pdf
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spelling doaj-6c7a36028a494d8c927243a1c0cd57e72021-02-02T05:38:25ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011010400310.1051/e3sconf/201910104003e3sconf_icesd2018_04003Impact of Air Transport on the Noise Level in the City of BurgasTodorova Stela0Haralampiev Kaloyan1Management and Marketing Department, University of AgricultureDepartment of Sociology, Sofia University “St. Kliment Ohridski”Aviation, as every type of transport, is responsible for a number of negative external effects to the environment. The main goal of this study is to reveal the relation between the noise level in the urban areas near to the Burgas airport and the air traffic. Our main research tasks are: to make a literature review of the problem; to gather data for the noise levels; to gather data for the air traffic; to choose relevant statistical methods and models for the revealing of the relation between the noise level and air traffic; to draw conclusions and to make recommendations about the noise pollution in the vicinity of Burgas Airport. The data are on monthly basis and cover the period from January 2015 to December 2017, i.e. 36 months. In our regression model we use three traffic indicators as independent variables: aircraft movements; passengers and freight. In the established regression model we introduce ‘the time’ as an additional factor, which provides concrete practical advantages. Our results show that two independent variables (aircraft movements and freight) affect the Twenty-four hours average equivalent level of noise due to flights. Aircraft movements are the most important factor and we expect their increasing in the future. This will lead to increased noise levels.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/27/e3sconf_icesd2018_04003.pdf
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language English
format Article
sources DOAJ
author Todorova Stela
Haralampiev Kaloyan
spellingShingle Todorova Stela
Haralampiev Kaloyan
Impact of Air Transport on the Noise Level in the City of Burgas
E3S Web of Conferences
author_facet Todorova Stela
Haralampiev Kaloyan
author_sort Todorova Stela
title Impact of Air Transport on the Noise Level in the City of Burgas
title_short Impact of Air Transport on the Noise Level in the City of Burgas
title_full Impact of Air Transport on the Noise Level in the City of Burgas
title_fullStr Impact of Air Transport on the Noise Level in the City of Burgas
title_full_unstemmed Impact of Air Transport on the Noise Level in the City of Burgas
title_sort impact of air transport on the noise level in the city of burgas
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description Aviation, as every type of transport, is responsible for a number of negative external effects to the environment. The main goal of this study is to reveal the relation between the noise level in the urban areas near to the Burgas airport and the air traffic. Our main research tasks are: to make a literature review of the problem; to gather data for the noise levels; to gather data for the air traffic; to choose relevant statistical methods and models for the revealing of the relation between the noise level and air traffic; to draw conclusions and to make recommendations about the noise pollution in the vicinity of Burgas Airport. The data are on monthly basis and cover the period from January 2015 to December 2017, i.e. 36 months. In our regression model we use three traffic indicators as independent variables: aircraft movements; passengers and freight. In the established regression model we introduce ‘the time’ as an additional factor, which provides concrete practical advantages. Our results show that two independent variables (aircraft movements and freight) affect the Twenty-four hours average equivalent level of noise due to flights. Aircraft movements are the most important factor and we expect their increasing in the future. This will lead to increased noise levels.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/27/e3sconf_icesd2018_04003.pdf
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