Requirements for Drone Operations to Minimise Community Noise Impact.
Requirements for Drone Operations to Minimise Community Noise Impact.
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DOI：
10.3390/ijerph19159299
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发表时间：
2022-07-29
影响因子：
--
通讯作者：
Torija, Antonio J.
中科院分区：
文献类型：
--
作者：
Ramos-Romero, Carlos;Green, Nathan;Roberts, Seth;Clark, Charlotte;Torija, Antonio J.
在过去几年中，研发中的无人机应用数量大幅增长;然而，这些技术的广泛采用需要确保公众的信任和接受。噪音已被确定为公众接受的主要问题之一。虽然已经进行了大量的研究，以更好地了解无人机的声源产生机制，但关于操作程序和监管框架的要求仍然存在重要问题。一个重要的问题是，无人机在不同的空域内运行，比传统飞机更接近社区，而且产生的噪音音调很高，与典型的飞机噪音相比，高频宽带噪音的比例更大。由于对公共健康和福祉的影响，这可能会引起对暴露社区的关注。本文提出了一个建模框架，用于为无人机操作设置建议，以最大限度地减少社区噪音影响。建模框架基于特定的噪声目标，例如，在接收器位置处的由WHO定义的用于住宅物业内的睡眠质量的准则。主要假设是室内无人机噪声暴露的估计与通知操作限制以最小化噪声烦恼和睡眠干扰高度相关。本文通过案例研究说明了建模框架的适用性，其中使用典型室内环境中接收的最大A加权声压级和声暴露级来定义无人机立面的最小距离，以满足世卫组织的建议。该建模框架的实用性和可扩展性使其成为一种有用的工具，可通过遵守适当的指南噪声标准来推断和评估无人机噪声的影响。人们认为，随着进一步的完善，这个建模框架可以证明是一个重要的工具，有助于制定噪音指标，无人机操作的具体规定和未来无人机操作和相关噪音的评估。
The number of applications for drones under R&D have growth significantly during the last few years; however, the wider adoption of these technologies requires ensuring public trust and acceptance. Noise has been identified as one of the key concerns for public acceptance. Although substantial research has been carried out to better understand the sound source generation mechanisms in drones, important questions remain about the requirements for operational procedures and regulatory frameworks. An important issue is that drones operate within different airspace, closer to communities than conventional aircraft, and that the noise produced is highly tonal and contains a greater proportion of high-frequency broadband noise compared with typical aircraft noise. This is likely to cause concern for exposed communities due to impacts on public health and well-being. This paper presents a modelling framework for setting recommendations for drone operations to minimise community noise impact. The modelling framework is based on specific noise targets, e.g., the guidelines at a receiver position defined by WHO for sleep quality inside a residential property. The main assumption is that the estimation of drone noise exposure indoors is highly relevant for informing operational constraints to minimise noise annoyance and sleep disturbance. This paper illustrates the applicability of the modelling framework with a case study, where maximum A-weighted sound pressure levels and sound exposure levels as received in typical indoor environments are used to define drone-façade minimum distance to meet WHO recommendations. The practical and scalable capabilities of this modelling framework make it a useful tool for inferring and assessing the impact of drone noise through compliance with appropriate guideline noise criteria. It is considered that with further refinement, this modelling framework could prove to be a significant tool in assisting with the development of noise metrics, regulations specific to drone operations and the assessment of future drone operations and associated noise.
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DOI：
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发表时间：
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影响因子：
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作者：
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发表时间：
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影响因子：
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