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风力涡轮机噪声的烦恼、检测和识别。

Annoyance, detection and recognition of wind turbine noise.

机构信息

Ghent University, Department of Information Technology, Sint-Pietersnieuwstraat 41, B-9000 Gent, Belgium.

出版信息

Sci Total Environ. 2013 Jul 1;456-457:333-45. doi: 10.1016/j.scitotenv.2013.03.095. Epub 2013 Apr 24.

Abstract

Annoyance, recognition and detection of noise from a single wind turbine were studied by means of a two-stage listening experiment with 50 participants with normal hearing abilities. In-situ recordings made at close distance from a 1.8-MW wind turbine operating at 22 rpm were mixed with road traffic noise, and processed to simulate indoor sound pressure levels at LAeq 40 dBA. In a first part, where people were unaware of the true purpose of the experiment, samples were played during a quiet leisure activity. Under these conditions, pure wind turbine noise gave very similar annoyance ratings as unmixed highway noise at the same equivalent level, while annoyance by local road traffic noise was significantly higher. In a second experiment, listeners were asked to identify the sample containing wind turbine noise in a paired comparison test. The detection limit of wind turbine noise in presence of highway noise was estimated to be as low as a signal-to-noise ratio of -23 dBA. When mixed with local road traffic, such a detection limit could not be determined. These findings support that noticing the sound could be an important aspect of wind turbine noise annoyance at the low equivalent levels typically observed indoors in practice. Participants that easily recognized wind-turbine(-like) sounds could detect wind turbine noise better when submersed in road traffic noise. Recognition of wind turbine sounds is also linked to higher annoyance. Awareness of the source is therefore a relevant aspect of wind turbine noise perception which is consistent with previous research.

摘要

采用有 50 名正常听力能力参与者参与的两阶段听力实验,研究了单个风力涡轮机噪声的烦恼、识别和检测。在距离以 22rpm 运行的 1.8MW 风力涡轮机近距离进行的现场录音与道路交通噪声混合,并进行处理以模拟 LAeq40dBA 的室内声压级。在第一部分中,参与者并不知道实验的真正目的,在安静的休闲活动中播放样本。在这些条件下,纯风力涡轮机噪声的烦恼率与相同等效水平的未混合高速公路噪声非常相似,而局部道路交通噪声的烦恼率则明显更高。在第二个实验中,要求听众在配对比较测试中识别包含风力涡轮机噪声的样本。在公路噪声存在的情况下,风力涡轮机噪声的检测极限估计低至-23dBA 的信噪比。当与当地道路交通混合时,无法确定这种检测极限。这些发现表明,在实践中室内通常观察到的低等效水平下,注意到声音可能是风力涡轮机噪声烦恼的一个重要方面。那些容易识别风力涡轮机(类)声音的参与者在道路交通噪声中能更好地检测到风力涡轮机噪声。对风力涡轮机声音的识别也与更高的烦恼有关。因此,对声源的意识是风力涡轮机噪声感知的一个相关方面,这与之前的研究一致。

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