학술논문

Spectral correction of turbulent energy damping on wind LiDAR measurements due to range-gate averaging.
Document Type
Article
Source
Atmospheric Measurement Techniques Discussions. 5/26/2020, p1-24. 28p.
Subject
*WIND power
*WIND measurement
*ARITHMETIC mean
Language
ISSN
1867-8610
Abstract
Tailings ponds in the Alberta Oil Sands Region are significant sources of fugitive emissions of methane to the atmosphere, but detailed knowledge on spatial and temporal variabilities is lacking due to limitations of the methods deployed under current regulatory compliance monitoring programs. To develop more robust and representative methods for quantifying these emissions, three micrometeorological flux methods were applied along with traditional flux chambers to determine fluxes over a 5-week period. Eddy covariance flux measurements provided the benchmark. A method is presented to directly calculate stability-corrected eddy diffusivities that can be applied to vertical gas profiles for gradient flux estimation. Gradient fluxes were shown to agree with eddy covariance within 7%, and inverse dispersion model fluxes within 11%, with an overall uncertainty of 28% for the calculated mean flux. Fluxes were shown to have only a minor diurnal cycle (18% variability) and to be mostly independent of wind speed, air and water surface temperatures. Flux chambers underestimated the fluxes by a factor of 2 in this particular campaign. These measurements indicate that the larger footprint of micrometeorological measurements results in more robust emission estimates representing the whole pond. [ABSTRACT FROM AUTHOR]