Exploring spatial patterns of environmental noise and perceived sound source dominance in urban areas. Case study: the city of Athens, Greece

Q1 Social Sciences European Journal of Geography Pub Date : 2022-04-12 DOI:10.48088/ejg.d.mar.13.2.060.078
Dimitris Markou
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Abstract

The aim of the present study is to map spatial patterns related to noise pollution and the acoustic environment -in a broader context- in the urban area of Athens, Greece. The primary goal of this thesis is to present a comprehensive approach that combines elements of two basic methodologies related to acoustic environment studies: a) noise mapping and b) the soundscape approach. The main inputs are environmental noise measurements and perceptual sound source-related observations. The results feature three noise pollution maps (LAeq,30 sec, L10, and L90 indices) and three sound source maps which reflect the way in which the human ear perceives the presence of sounds. Additionally, the question of whether the spatial distribution of sound source dominance can be explained by the dispersion of environmental noise levels was examined using geographically weighted regressions (GWR). The GWR models showed that sound source-related observations are explained to a significant extent by all three indicators. Four important findings emerge from the analysis. Firstly, areas with high levels of noise pollution are characterized by high to moderate presence of technological and absence of anthropic and natural sounds. Secondly, regions, where there is a simultaneous presence of all sound sources, are characterized by moderate to low noise levels. Thirdly, the absence of technological sounds is observed in quiet areas. Finally, areas featuring a moderate presence of technological and natural sounds are mostly urban green spaces built-in proximity to the main road network.
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探索城市环境噪声的空间格局和可感知的声源优势。案例研究:希腊雅典市
本研究的目的是绘制与噪音污染和声学环境有关的空间模式-在更广泛的背景下-在希腊雅典市区。本论文的主要目标是提出一种综合的方法,结合与声环境研究相关的两种基本方法:a)噪声映射和b)声景方法。主要输入是环境噪声测量和感知声源相关观测。结果包括三个噪音污染图(LAeq,30秒,L10和L90指数)和三个声源图,反映了人耳感知声音存在的方式。此外,利用地理加权回归(GWR)分析了声源优势的空间分布是否可以用环境噪声水平的分散来解释。GWR模型表明,声源相关观测结果在很大程度上可以由这三个指标来解释。分析得出了四个重要结论。首先,噪音污染程度高的地区的特点是技术声音的存在程度高到中等,而人为和自然声音的存在程度低。其次,所有声源同时存在的地区,其特点是中等到低的噪音水平。第三,在安静的地方可以观察到没有技术声音。最后,具有适度科技和自然声音存在的区域主要是靠近主要道路网络的城市绿地。
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来源期刊
European Journal of Geography
European Journal of Geography Social Sciences-Geography, Planning and Development
CiteScore
1.40
自引率
0.00%
发文量
29
期刊介绍: The publication of the European Journal of Geography (EJG) is based on the European Association of Geographers’ goal to make European Geography a worldwide reference and standard. Thus, the scope of the EJG is to publish original and innovative papers that will substantially improve, in a theoretical, conceptual or empirical way the quality of research, learning, teaching and applying geography, as well as in promoting the significance of geography as a discipline. Submissions are encouraged to have a European dimension
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