Extended Lifetime of Respiratory Droplets in a Turbulent Vapor Puff and Its Implications on Airborne Disease Transmission

Kai Leong Chong, Chong Shen Ng, Naoki Hori, Rui Yang, Roberto Verzicco, and Detlef Lohse
Phys. Rev. Lett. 126, 034502 – Published 19 January 2021
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Abstract

To quantify the fate of respiratory droplets under different ambient relative humidities, direct numerical simulations of a typical respiratory event are performed. We found that, because small droplets (with initial diameter of 10μm) are swept by turbulent eddies in the expelled humid puff, their lifetime gets extended by a factor of more than 30 times as compared to what is suggested by the classical picture by Wells, for 50% relative humidity. With increasing ambient relative humidity the extension of the lifetimes of the small droplets further increases and goes up to around 150 times for 90% relative humidity, implying more than 2 m advection range of the respiratory droplets within 1 sec. Employing Lagrangian statistics, we demonstrate that the turbulent humid respiratory puff engulfs the small droplets, leading to many orders of magnitude increase in their lifetimes, implying that they can be transported much further during the respiratory events than the large ones. Our findings provide the starting points for larger parameter studies and may be instructive for developing strategies on optimizing ventilation and indoor humidity control. Such strategies are key in mitigating the COVID-19 pandemic in the present autumn and upcoming winter.

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  • Received 15 October 2020
  • Revised 13 December 2020
  • Accepted 14 December 2020

DOI:https://doi.org/10.1103/PhysRevLett.126.034502

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Kai Leong Chong1, Chong Shen Ng1, Naoki Hori1, Rui Yang1, Roberto Verzicco1,2,3, and Detlef Lohse1,4,*

  • 1Physics of Fluids Group and Max Planck Center for Complex Fluid Dynamics, MESA+ Institute and J. M. Burgers Centre for Fluid Dynamics, University of Twente, P.O. Box 217, 7500AE Enschede, Netherlands
  • 2Dipartimento di Ingegneria Industriale, University of Rome ‘Tor Vergata’, Roma 00133, Italy
  • 3Gran Sasso Science Institute - Viale F. Crispi, 7 67100 L’Aquila, Italy
  • 4Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany

  • *Corresponding author. d.lohse@utwente.nl

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Vol. 126, Iss. 3 — 22 January 2021

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