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基于道路交通噪声事件的间断比度量在城市站点分类中的应用。

Application of the Intermittency Ratio Metric for the Classification of Urban Sites Based on Road Traffic Noise Events.

机构信息

CNR-INM Dept. Acoustics and Sensors "O.M. Corbino", via del Fosso del Cavaliere 100, 00133 Rome, Italy.

Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy.

出版信息

Sensors (Basel). 2019 Nov 23;19(23):5136. doi: 10.3390/s19235136.

Abstract

Human hearing adapts to steady signals, but remains very sensitive to fluctuations as well as to prominent, salient noise events. The higher these fluctuations are, the more annoying a sound is possibly perceived. To quantify these fluctuations, descriptors have been proposed in the literature and, among these, the intermittency ratio () has been formulated to quantify the eventfulness of an exposure from transportation noise. This paper deals with the application of to urban road traffic noise data, collected in terms of 1 s A-weighted sound pressure level (SPL), without being attended, monitored continuously for 24 h in 90 sites in the city of Milan. was computed on each hourly data of the 251 time series available (lasting 24 h each), including different types of roads, from motorways to local roads with low traffic flow. The obtained hourly values have been processed by clustering methods to extract the most significant temporal pattern features of in order to figure out a criterion to classify the urban sites taking into account road traffic noise events, which potentially increase annoyance. Two clusters have been obtained and a "non-acoustic" parameter , determined by combination of the traffic flow rate in three hourly intervals, has allowed to associate each site with the cluster membership. The described methodology could be fruitfully applied on road traffic noise data in other cities. Moreover, to have a more detailed characterization of noise exposure, , describing SPL short-term temporal variations, has proved to be a useful supplementary metric accompanying , which is limited to measure the energy content of the noise exposure.

摘要

人类听觉适应稳态信号,但对波动以及突出的、明显的噪声事件仍然非常敏感。这些波动越高,声音可能被感知到的干扰就越大。为了量化这些波动,文献中提出了一些描述符,其中间歇比()被用来量化交通噪声暴露的事件性。本文应用于城市道路交通噪声数据,以 1 秒 A 加权声压级(SPL)为单位进行采集,无需人工干预,在米兰市的 90 个地点连续 24 小时进行监测。在 251 个可用的(每个持续 24 小时)时间序列的每小时数据上计算了,包括从高速公路到交通流量低的地方道路的不同类型的道路。对获得的每小时值进行聚类处理,以提取间歇比在时间上的最显著模式特征,以便确定一个标准,根据道路交通噪声事件对城市地点进行分类,这些事件可能会增加人们的烦恼。得到了两个聚类,并且通过组合三个小时间隔内的交通流量率确定了一个“非声学”参数,该参数允许将每个地点与聚类成员联系起来。所描述的方法可以成功地应用于其他城市的道路交通噪声数据。此外,为了更详细地描述噪声暴露,描述 SPL 短期时间变化的 ,已被证明是间歇比的有用补充指标,间歇比仅限于衡量噪声暴露的能量含量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bb0/6928980/6f43e8e90615/sensors-19-05136-g001.jpg

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