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This study investigates the sensitivity on inflow turbulence profiles for predicting the downstream wind velocity and turbulent kinetic energy profiles within the street arrays of urban environments.
In addition, measured mean velocity and turbulence profiles show a strong dependency with pipe inclination.
The turbulence profiles were derived from secondary current data using a 5-beam ADCP which was optimised for wave measurements.
Resultant velocity and turbulence profiles are found to be in close agreement with earlier models and wind tunnel measurements.
A two-dimensional wake model for turbulence profiles is developed for (sharp-edged) bluff bodies based on similarity (self-preservation) and universality (different shapes).
The noise production from each region is then calculated by using single jet prediction methods for flows of similar mean velocity and turbulence profiles.
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It is suggested that this may be due to the convection of the turbulence profile by the propagating flame.
A case study illustrates its application in detail, starting with a company-specific turbulence profile, analyzing the root causes quantitatively and identifying solutions for improving PPC.
The profiles of maximum flame speed and overpressure with separation distance were shown to agree with the cold flow turbulence profile determined in cold flows by other researchers.
The profile of effects with separation distance was shown to agree with the cold flow turbulence profile determined in cold flows by other researchers.
We numerically combine the influence of turbulence in the mean intensity profile variations, scintillation, beam-wander induced pointing errors and stochastic time-of-flight variations, using the Hufnagel Valley turbulence profile to model the ground turbulence behavior.
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