Quasi-Experimental Determination of Turbulent Dispersion Parameters for Different Stability Conditions from a Tall Micrometeorological TowerSource: Journal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 008::page 1729Author:Martins, Luís Gustavo N.
,
Degrazia, Gervásio A.
,
Acevedo, Otávio C.
,
Puhales, Franciano S.
,
de Oliveira, Pablo E. S.
,
Teichrieb, Claudio A.
,
da Silva, Samuel M.
DOI: 10.1175/JAMC-D-17-0269.1Publisher: American Meteorological Society
Abstract: AbstractTurbulent wind data measured by sonic anemometers installed at various heights on a 140-m-tall micrometeorological tower located at a coastal site are used to obtain vertical profiles of the velocity standard deviations σi, Lagrangian decorrelation local time scales TLi, and eddy diffusivities Kα for distinct stability conditions. The novelty of the study lies in the use of turbulent data directly measured over the extension of the atmospheric surface layer at a coastal site for that purpose. Furthermore, the approach employs the Hilbert?Huang transform to determine the wind energy spectral peak frequencies. These are applied to the asymptotic spectral equation from Taylor statistical diffusion theory to obtain the turbulent dispersion parameters, which are shown to generally agree well with those provided by a classical autocorrelation approach. For neutral and stable situations the vertical profiles of momentum eddy diffusivities agree well with those derived from the spectral and autocorrelation method. Additionally, the turbulent integral time scales and eddy diffusivities determined by the method at a coastal location are found to overestimate those predicted from analytical expressions based on continental field observations. The turbulence parameters found are suitable to be employed in air pollution dispersion models.
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contributor author | Martins, Luís Gustavo N. | |
contributor author | Degrazia, Gervásio A. | |
contributor author | Acevedo, Otávio C. | |
contributor author | Puhales, Franciano S. | |
contributor author | de Oliveira, Pablo E. S. | |
contributor author | Teichrieb, Claudio A. | |
contributor author | da Silva, Samuel M. | |
date accessioned | 2019-09-19T10:06:43Z | |
date available | 2019-09-19T10:06:43Z | |
date copyright | 6/15/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | jamc-d-17-0269.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261652 | |
description abstract | AbstractTurbulent wind data measured by sonic anemometers installed at various heights on a 140-m-tall micrometeorological tower located at a coastal site are used to obtain vertical profiles of the velocity standard deviations σi, Lagrangian decorrelation local time scales TLi, and eddy diffusivities Kα for distinct stability conditions. The novelty of the study lies in the use of turbulent data directly measured over the extension of the atmospheric surface layer at a coastal site for that purpose. Furthermore, the approach employs the Hilbert?Huang transform to determine the wind energy spectral peak frequencies. These are applied to the asymptotic spectral equation from Taylor statistical diffusion theory to obtain the turbulent dispersion parameters, which are shown to generally agree well with those provided by a classical autocorrelation approach. For neutral and stable situations the vertical profiles of momentum eddy diffusivities agree well with those derived from the spectral and autocorrelation method. Additionally, the turbulent integral time scales and eddy diffusivities determined by the method at a coastal location are found to overestimate those predicted from analytical expressions based on continental field observations. The turbulence parameters found are suitable to be employed in air pollution dispersion models. | |
publisher | American Meteorological Society | |
title | Quasi-Experimental Determination of Turbulent Dispersion Parameters for Different Stability Conditions from a Tall Micrometeorological Tower | |
type | Journal Paper | |
journal volume | 57 | |
journal issue | 8 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-17-0269.1 | |
journal fristpage | 1729 | |
journal lastpage | 1745 | |
tree | Journal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 008 | |
contenttype | Fulltext |