Drops in the wind: their dispersion and COVID-19 implications
Mario Sandoval, Omar Vergara

TL;DR
This paper analyzes how external flows like shear and Poiseuille flows influence the dispersion of respiratory droplets relevant to COVID-19, revealing that such flows can significantly extend droplet travel distances.
Contribution
It provides an analytical and numerical study of droplet dispersion under external flows using the Maxey-Riley equation, including higher-order effects like the Boussinesq-Basset memory term.
Findings
Small droplets can travel over 250 meters in shear flows at 1 m/s.
Higher order effects slightly increase dispersion and flying time.
Flow strength influences the difference between leading and higher order results.
Abstract
Most of the works on the dispersion of droplets and their COVID-19 (Coronavirus disease) implications address droplets' dynamics in quiescent environments. As most droplets in a common situation are immersed in external flows (such as ambient flows), we consider the effect of canonical flow profiles namely, shear flow, Poiseuille flow, and unsteady shear flow on the transport of spherical droplets of radius ranging from 5m to 100 m, which are characteristic lengths in human talking, coughing or sneezing processes. The dynamics we employ satisfies the Maxey-Riley (M-R) equation. An order-of-magnitude estimate allows us to solve the M-R equation to leading order analytically, and to higher order (accounting for the Boussinesq-Basset memory term) numerically. Discarding evaporation, our results to leading order indicate that the maximum travelled distance for small droplets…
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Taxonomy
TopicsCOVID-19 Pandemic Impacts
