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Prediction of off-site noise levels reduction in open-air music events within densely populated urban areas

机译:预测人口密集的市区内露天音乐活动的场外噪声降低

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Performances in open-air settings create challenges in terms of noise pollution, which has to be controlled by the organizers within the limits set by the local authorities that aim to preserve the comfort and health of local residents. In this study, an integrated approach has been developed to control the off-site noise levels, in the framework of H2020 MONICA project. To this purpose, Kappa Futur Festival, an open-air multi stage Electronic music festival attended by more than 50 thousand people, has been considered as a case study. A comprehensive set of actions was put in place for off-site noise predictions using SoundPlan®, a noise modelling software. A measurement campaign through a noise monitoring network was performed during the two days event showing the relevance of the low-frequencies content. The data have been used for calibration of the simulation model. The simulations allowed to pinpoint which sound system, i.e. stage, could cause the dominant noise off-site so that potentially breaches the regulations. The results showed that future editions of the Festival would benefit from feasible mitigations and optimization actions, i.e. variations of stage loudspeaker arrays, stage orientations and FOH level control, by also preserving the optimal levels for the audience.
机译:在露天环境中的表演会带来噪音污染方面的挑战,必须由组织者在地方当局设定的限制范围内进行控制,以保持当地居民的舒适和健康。在这项研究中,在H2020 MONICA项目的框架内,已经开发出一种综合方法来控制异地噪声水平。为此,已将案例研究作为一个多阶段的露天多阶段电子音乐节Kappa Futur Festival进行了研究。使用噪声建模软件SoundPlan®,采取了一套全面的措施来进行异地噪声预测。在为期两天的活动中,通过噪声监视网络进行了一次测量活动,显示了低频内容的相关性。数据已用于仿真模型的校准。通过模拟可以查明哪个声音系统(即舞台)可能会在现场引起主要噪声,从而可能违反规定。结果表明,音乐节的未来版本将通过可行的缓解措施和优化措施(即舞台扬声器阵列的变化,舞台方向和FOH级别控制)而受益,同时还可以为观众保留最佳级别。

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