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<p>The analysis of the wind frequency distribution is usually modeled by single Weibull curves. In some cases, the annual distribution is influenced by changes in wind patterns that may be seasonal or local effects, generating multimodal frequency distributions that cannot be modeled by a single Weibull curve. A deconvolution procedure with the sum of weighted Weibull curves is then proposed, which allows for the establishment of the main domains and, on them, facilities a specific analysis of their temporal variability parameters. The analysis enables the establishment of the importance of the winds according to their weighting, as well as their temporal characteristics. The latter requires an assessment of the months of the year (seasonality) and the hours of the day (day/night effect). In addition, it is necessary to establish the directionality of the winds considered in relation to the time parameters indicated. For this article, the Belén meteorological station located in the Western Central Valley (WCV) of Costa Rica is analyzed as an example, because there is an important industrial zone and it is necessary to establish the effect of wind on the dispersion of pollutant emissions. In this case, Belén, which presents three types of superimposed winds, associated with seasonal periodic winds (trade winds with a typical speed <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(6.64 \pm 2.02 \,\, m\cdot s^{-1}\)</EquationSource> </InlineEquation>) and local winds (valley-mountain a typical speed <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(2.46\pm 0.85, m\cdot s^{-1}\)</EquationSource> </InlineEquation>).</p>

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Methodology of multimodal wind analysis by deconvolution of Weibull curves

  • 期刊论文

  • 发表日期：

    2026年1月5日

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  • Kendall Ugalde Castro,
  • Byron Jiménez Oviedo,
  • Javier Rodríguez Yáñez

摘要

The analysis of the wind frequency distribution is usually modeled by single Weibull curves. In some cases, the annual distribution is influenced by changes in wind patterns that may be seasonal or local effects, generating multimodal frequency distributions that cannot be modeled by a single Weibull curve. A deconvolution procedure with the sum of weighted Weibull curves is then proposed, which allows for the establishment of the main domains and, on them, facilities a specific analysis of their temporal variability parameters. The analysis enables the establishment of the importance of the winds according to their weighting, as well as their temporal characteristics. The latter requires an assessment of the months of the year (seasonality) and the hours of the day (day/night effect). In addition, it is necessary to establish the directionality of the winds considered in relation to the time parameters indicated. For this article, the Belén meteorological station located in the Western Central Valley (WCV) of Costa Rica is analyzed as an example, because there is an important industrial zone and it is necessary to establish the effect of wind on the dispersion of pollutant emissions. In this case, Belén, which presents three types of superimposed winds, associated with seasonal periodic winds (trade winds with a typical speed \(6.64 \pm 2.02 \,\, m\cdot s^{-1}\) ) and local winds (valley-mountain a typical speed \(2.46\pm 0.85, m\cdot s^{-1}\) ).