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Experiments in Fluids
Erschienen in: Experiments in Fluids 5/2014

01.05.2014 | Research Article

Measurement of atmospheric boundary layer based on super-large-scale particle image velocimetry using natural snowfall

verfasst von: M. Toloui, S. Riley, J. Hong, K. Howard, L. P. Chamorro, M. Guala, J. Tucker

Erschienen in: Experiments in Fluids | Ausgabe 5/2014

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Abstract

We present an implementation of super-large-scale particle image velocimetry (SLPIV) to characterize spatially the turbulent atmospheric boundary layer using natural snowfall as flow tracers. The SLPIV technique achieves a measurement area of ~22 m × 52 m, up to 56 m above the ground, with a spatial resolution of ~0.34 m. The traceability of snow particles is estimated based on their settling velocity obtained from the wall-normal component of SLPIV velocity measurements. The results are validated using coincident measurements from sonic anemometers on a meteorological tower situated in close proximity to the SLPIV sampling area. A contrast of the mean velocity and the streamwise Reynolds stress component obtained from the two techniques shows less than 3 and 12 % difference, respectively. Additionally, the turbulent energy spectra measured by SLPIV show a similar inertial subrange and trends when compared to those measured by the sonic anemometers.
Vorheriger Artikel Active flow control on a 1:4 car model
Nächster Artikel Characterizing the lower log region of the atmospheric surface layer via large-scale particle tracking velocimetry

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Metadaten
Titel
Measurement of atmospheric boundary layer based on super-large-scale particle image velocimetry using natural snowfall
verfasst von
M. Toloui
S. Riley
J. Hong
K. Howard
L. P. Chamorro
M. Guala
J. Tucker
Publikationsdatum
01.05.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Experiments in Fluids / Ausgabe 5/2014
Print ISSN: 0723-4864
Elektronische ISSN: 1432-1114
DOI
https://doi.org/10.1007/s00348-014-1737-1

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