평균 방법이 도시 난류 플럭스에 미치는 영향
Effects of Different Averaging Operators on the Urban Turbulent Fluxes
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초록
The effects of different averaging operators and atmospheric stability on the turbulentfluxes are investigated using the vertical velocity, air temperature, carbon dioxide concentration,and absolute humidity data measured at 10 Hz by a 3-dimensional sonic anemometerand an open-path CO2/H2O infrared gas analyzer installed at a height of 18.5 m on the rooftopof the Jungnang KT building located at a typical residential area in Seoul, Korea. For this purpose,7 different averaging operators including block average, linear regression, and movingaverages during 100 s, 300 s, 600 s, 900 s, and 1800 s are considered and the data quality controlprocedure such as physical limit check and spike removal is also applied. It is found that asthe averaging interval becomes shorter, turbulent fluxes computed by the moving averagebecome smaller and the ratios of turbulent fluxes computed by the 100 s moving average to thefluxes by the 1800 s moving average under unstable stability are smaller than those under neutralstability. The turbulent fluxes computed by the linear regression are 85~92% of those computedby the 1800 s moving average and nearly the same as those computed by 900 s movingaverage, implying that the adequate selection of an averaging operator and its interval will bevery important to estimate more accurate turbulent fluxes at urban area.
Abstract
The effects of different averaging operators and atmospheric stability on the turbulentfluxes are investigated using the vertical velocity, air temperature, carbon dioxide concentration,and absolute humidity data measured at 10 Hz by a 3-dimensional sonic anemometerand an open-path CO2/H2O infrared gas analyzer installed at a height of 18.5 m on the rooftopof the Jungnang KT building located at a typical residential area in Seoul, Korea. For this purpose,7 different averaging operators including block average, linear regression, and movingaverages during 100 s, 300 s, 600 s, 900 s, and 1800 s are considered and the data quality controlprocedure such as physical limit check and spike removal is also applied. It is found that asthe averaging interval becomes shorter, turbulent fluxes computed by the moving averagebecome smaller and the ratios of turbulent fluxes computed by the 100 s moving average to thefluxes by the 1800 s moving average under unstable stability are smaller than those under neutralstability. The turbulent fluxes computed by the linear regression are 85~92% of those computedby the 1800 s moving average and nearly the same as those computed by 900 s movingaverage, implying that the adequate selection of an averaging operator and its interval will bevery important to estimate more accurate turbulent fluxes at urban area.
참고문헌 (31)
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