Identification and Estimation of the Period of Non-Turbulent Oscillatory Processes in the Stable Boundary layer Through Autocorrelation Functions

Authors

  • Cristiano Henrique Schuster Programa de Pós Graduação em Engenharia, Universidade Federal do Pampa - Campus Alegrete, Alegrete, RS, Brasil.
  • Jean Jonathan Schuster Programa de Pós Graduação em Engenharia, Universidade Federal do Pampa - Campus Alegrete, Alegrete, RS, Brasil.
  • Eduardo Stüker Programa de Pós Graduação em Engenharia, Universidade Federal do Pampa - Campus Alegrete, Alegrete, RS, Brasil.
  • Daniel Michelon dos Santos Programa de Pós Graduação em Engenharia, Universidade Federal do Pampa - Campus Alegrete, Alegrete, RS, Brasil.
  • Luiz Eduardo Medeiros Programa de Pós Graduação em Engenharia, Universidade Federal do Pampa - Campus Alegrete, Alegrete, RS, Brasil.
  • Felipe Denardin Costa Programa de Pós Graduação em Engenharia, Universidade Federal do Pampa - Campus Alegrete, Alegrete, RS, Brasil.
  • Luis Gustavo Nogueira Martins Departamento de Física, Universidade Federal de Santa Maria, Santa Maria, RS, Brasil.
  • Giuliano Demarco Departamento de Física, Universidade Federal de Santa Maria, Santa Maria, RS, Brasil.
  • Otávio Costa Acevedo Departamento de Física, Universidade Federal de Santa Maria, Santa Maria, RS, Brasil.

DOI:

https://doi.org/10.5902/2179460X20240

Keywords:

Stable boundary layer. Meandering. Autocorrelation function.

Abstract

The autocorrelation function of the flow speed components, measures the relationship that the speed in a certain instant, has with the speed at an earlier instant. In some conditions, in the atmospheric flow, this autocorrelation presents a low frequency oscillatory shape, presenting negative lobes. This behavior is known as meandering phenomenon and becomes prevalent in low wind conditions. The objective of this study is to compare the adjustments of autocorrelation functions, present in the literature, with trial of the experimental data of FLOOSS II experiment, for determining the meandering oscillation period. Initially, three selection criteria were used to select the windows of analysis. Among the criteria the magnitude of the wind showed the most satisfactory. The fitting curves showed that both autocorrelation functions performed well, even with a large variability of oscillation periods that were found. The great variability in the oscillation period of the meandering phenomena can be associated with the nature of the physical phenomenon that is responsible for its origin. However, this hypothesis needs confirmation.

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References

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Published

2016-07-20

How to Cite

Schuster, C. H., Schuster, J. J., Stüker, E., Santos, D. M. dos, Medeiros, L. E., Costa, F. D., Martins, L. G. N., Demarco, G., & Acevedo, O. C. (2016). Identification and Estimation of the Period of Non-Turbulent Oscillatory Processes in the Stable Boundary layer Through Autocorrelation Functions. Ciência E Natura, 38, 312–317. https://doi.org/10.5902/2179460X20240

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