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Requirements for Drone Operations to Minimise Community Noise Impact

Author

Listed:
  • Carlos Ramos-Romero

    (Acoustics Research Centre, University of Salford, Manchester M5 4WT, UK)

  • Nathan Green

    (Acoustics Research Centre, University of Salford, Manchester M5 4WT, UK)

  • Seth Roberts

    (Hayes McKenzie Partnership Ltd., Unit 3 Oakridge Office Park, Salisbury SP5 3HT, UK)

  • Charlotte Clark

    (Population Health Research Institute, St George’s University of London, London SW17 0RE, UK)

  • Antonio J. Torija

    (Acoustics Research Centre, University of Salford, Manchester M5 4WT, UK)

Abstract

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 L A m a x and sound exposure levels S E L 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.

Suggested Citation

  • Carlos Ramos-Romero & Nathan Green & Seth Roberts & Charlotte Clark & Antonio J. Torija, 2022. "Requirements for Drone Operations to Minimise Community Noise Impact," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9299-:d:875442
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    References listed on IDEAS

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    1. Mathias Basner & Sarah McGuire, 2018. "WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Effects on Sleep," IJERPH, MDPI, vol. 15(3), pages 1-45, March.
    2. C. T. Justine Hui & Michael J. Kingan & Yusuke Hioka & Gian Schmid & George Dodd & Kim N. Dirks & Shaun Edlin & Sean Mascarenhas & Young-Min Shim, 2021. "Quantification of the Psychoacoustic Effect of Noise from Small Unmanned Aerial Vehicles," IJERPH, MDPI, vol. 18(17), pages 1-27, August.
    3. Antonio J. Torija & Rory K. Nicholls, 2022. "Investigation of Metrics for Assessing Human Response to Drone Noise," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
    4. Beat Schäffer & Reto Pieren & Kurt Heutschi & Jean Marc Wunderli & Stefan Becker, 2021. "Drone Noise Emission Characteristics and Noise Effects on Humans—A Systematic Review," IJERPH, MDPI, vol. 18(11), pages 1-27, June.
    5. Antonio J. Torija & Charlotte Clark, 2021. "A Psychoacoustic Approach to Building Knowledge about Human Response to Noise of Unmanned Aerial Vehicles," IJERPH, MDPI, vol. 18(2), pages 1-16, January.
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