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Weather impact on airborne coronavirus survival
Talib Dbouk,
Dimitris Drikakis
Research output
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Article
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peer-review
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Keyphrases
Absolute Temperature
16%
Airborne Infection
16%
Airborne Virus
16%
Autumn Season
16%
Classical Theory
16%
Cloud Droplets
16%
Computational Fluid Dynamics
16%
Coronavirus
100%
Droplet Evaporation
16%
Dynamic Solver
16%
Epidemiologist
16%
Eulerian-Lagrangian
16%
High Humidity
16%
High Temperature
33%
High Wind Speed
16%
Humidity
33%
Low Humidity
16%
Low Temperature
16%
Mixture Properties
16%
New Correlation
33%
Nusselt
16%
Nusselt number
16%
Prandtl number
16%
Relative Wind
16%
Reynolds number
33%
Saliva Droplets
66%
Schmidt number
16%
Sherwood number
16%
State Relationships
16%
Steady State
16%
Theoretical Correlation
16%
Thermal History
16%
Three-dimensional (3D)
16%
Travel Distance
16%
Unsteady Evaporation
16%
Virus Survival
16%
Virus Transmission
16%
Virus Viability
16%
Weather Conditions
16%
Weather Effects
100%
Wind Speed
16%
Winter Season
16%
Earth and Planetary Sciences
Cloud Droplet
25%
Fluid Dynamics
25%
Humidity
100%
Prandtl Number
25%
Relative Humidity
100%
Reynolds Number
50%
Schmidt Number
25%
Weather Condition
25%
Weather Impact
100%
Wind Velocity
50%
Engineering
Classical Theory
25%
Cloud Droplet
25%
Computational Fluid Dynamics
25%
High Wind Speed
25%
Low-Temperature
25%
Mixture Property
25%
Nusselt Number
25%
Prandtl Number
25%
Relative Humidity
100%
Reynolds' Number
50%
Schmidt Number
25%
Sherwood Number
25%
Thermal History
25%
Transients
25%
Biochemistry, Genetics and Molecular Biology
Airborne Virus
33%
Coronavirinae
100%
Dynamics
16%
Humidity
66%
Liquid
16%
Steady State
16%
Virus Survival
16%
Virus Transmission
33%
Virus Viability
16%
Wind Speed
33%
Mathematics
Wind Speed
100%
Wind Velocity
100%