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Measurements of acoustic environments for urban soundscapes: Choice of homogeneous periods, optimization of durations, and selection of indicators

机译:城市声景声学环境的测量:均质时段的选择,持续时间的优化以及指标的选择

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摘要

In order to minimize the duration of acoustic measurements and to characterize homogeneous areas from a temporal point of view, a series of six location measurements was carried out continuously during three months in Paris. Around fifty thousand samples of 5-min, 10-min, 15-min, 20-min, 30-min, and 1-h duration measurements were extracted for each location. Each sample is characterized by eleven energy indicators and ten event descriptors. In this paper, analysis of a crossroad location is detailed. Through hierarchical ascendant classification and artificial neural networks classification, it is shown that four homogeneous periods can be detected: two during the night, one during the day, and one transition corresponding either to the awakening or to the moment when the city falls asleep. 10-min measurements are necessary to discriminate these time periods at the crossroad location. At the end of the paper, a comparison with the other locations shows that minimum duration states in between 10 and 20 min. The homogeneous periods are connected to the human activities and depend on the location. Energy indicators such as L _(Aeq), L_(A10), or L_(A90) and event indicators are necessary to characterize the different clusters.
机译:为了最小化声学测量的持续时间并从时间的角度表征均匀的区域,在巴黎进行了三个月的连续六个位置测量。针对每个位置提取了大约五万个5分钟,10分钟,15分钟,20分钟,30分钟和1小时持续时间的样本。每个样本的特征是十一个能量指标和十个事件描述符。在本文中,将详细分析十字路口的位置。通过层次上升分类法和人工神经网络分类法,可以检测到四个同质周期:两个在夜间,一个在白天,以及一个对应于城市入睡或觉醒的过渡。需要10分钟的测量时间来区分十字路口位置上的这些时间段。在本文的结尾,与其他位置的比较显示,最小持续时间状态在10到20分钟之间。同质时期与人类活动有关,并取决于位置。诸如L _(Aeq),L_(A10)或L_(A90)的能量指标和事件指标对于表征不同的簇是必需的。

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