HER-Human-Environment Research, La Salle-Universitat Ramon Llull, Sant Joan de la Salle, 42, 08022 Barcelona, Spain.
Sensors (Basel). 2024 Mar 3;24(5):1650. doi: 10.3390/s24051650.
The mobility and activity restrictions imposed in Spain due to the COVID-19 pandemic caused a significant improvement in the urban noise pollution that could be objectively measured in those cities with acoustic sensor networks deployed. This significant change in the urban soundscapes was also perceived by citizens who positively appraised this new acoustic scenario. In this work, authors present a comparative analysis between different noise indices provided by 70 sound sensors deployed in Barcelona, both during and before the lockdown, and the results of a perceptual test conducted in the framework of the project during the lockdown, which received more than one hundred contributions in Barcelona alone. The analysis has been performed by clustering the objective and subjective data according to the predominant noise sources in the location of the sensors and differentiating road traffic in heavy, moderate and low-traffic areas. The study brings out strong alignments between a decline in noise indices, acoustic satisfaction improvement and changes in the predominant noise sources, supporting the idea that objective calibrated data can be useful to make a qualitative approximation to the subjective perception of urban soundscapes when further information is not available.
由于 COVID-19 大流行而在西班牙实施的流动性和活动限制,导致城市噪声污染得到了显著改善,在那些部署了声学传感器网络的城市中,可以客观地测量到这种污染的改善。城市声景的这一显著变化也被市民所感知,他们对这一新的声学环境给予了积极的评价。在这项工作中,作者对巴塞罗那部署的 70 个声传感器在封锁期间和之前提供的不同噪声指数进行了比较分析,并在该项目框架内进行了一项感知测试的结果进行了分析,仅在巴塞罗那就收到了一百多份贡献。根据传感器位置的主要噪声源,通过对客观和主观数据进行聚类,并区分重、中、轻交通区域的道路交通,对分析结果进行了区分。研究结果表明,噪声指数的下降、声学满意度的提高以及主要噪声源的变化之间存在很强的一致性,这支持了这样一种观点,即当没有更多信息时,客观校准的数据可以用于对城市声景的主观感知进行定性逼近。