论文标题
风电场噪声幅度调制的长期量化和表征
Long-term quantification and characterisation of wind farm noise amplitude modulation
论文作者
论文摘要
风电场的大规模扩张引发了社区关于风电场噪声不利影响（WFN）的辩论。 WFN的最烦人和潜在的睡眠干扰成分之一是振幅调制（AM）。在这里，我们使用在三个风电场附近的三个位置测量的声学和气象数据对AM进行了量化和表征。我们发现，户外AM患病率的昼夜变化很大，夜间患病率比白天患病率高2至5倍。平均而言，室内AM发生在夜间的1.1倍至1.7倍的频率比室外AM少，但室内AM的深度高于户外的室内深度。我们观察到AM患病率与日落和日出之间的关联。在顺风和跨风条件下，AM发生的频率更高。这些发现提供了有关长期WFN特征的重要见解，这些特征将有助于告知未来的WFN评估指南。
The large-scale expansion of wind farms has prompted community debate regarding adverse impacts of wind farm noise (WFN). One of the most annoying and potentially sleep disturbing components of WFN is amplitude modulation (AM). Here we quantified and characterised AM over one year using acoustical and meteorological data measured at three locations near three wind farms. We found that the diurnal variation of outdoor AM prevalence was substantial, the nighttime prevalence was approximately 2 to 5 times higher than the daytime prevalence. On average, indoor AM occurred during the nighttime from 1.1 to 1.7 times less often than outdoor AM, but the indoor AM depth was higher than that measured outdoors. We observed an association between AM prevalence and sunset and sunrise. AM occurred more often at downwind and crosswind conditions. These findings provide important insights into long term WFN characteristics that will help to inform future WFN assessment guidelines.
