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  • 1
    Publication Date: 2015-08-13
    Description: Validation of farm-scale methane emissions using nocturnal boundary layer budgets Atmospheric Chemistry and Physics Discussions, 15, 21765-21802, 2015 Author(s): J. Stieger, I. Bamberger, N. Buchmann, and W. Eugster This study provides the first experimental validation of Swiss agricultural methane emission estimates at the farm scale. We measured CH 4 concentrations at a Swiss farmstead during two intensive field campaigns in August 2011 and July 2012 to (1) quantify the source strength of livestock methane emissions using a tethered balloon system, and (2) to validate inventory emission estimates via nocturnal boundary layer (NBL) budgets. Field measurements were performed at a distance of 150 m from the nearest farm buildings with a tethered balloon system in combination with gradient measurements at eight heights on a 10 m tower to better resolve the near-surface concentrations. Vertical profiles of air temperature, relative humidity, CH 4 concentration, wind speed and wind direction showed that the NBL was strongly influenced by local transport processes and by the valley wind system. Methane concentrations showed a pronounced time course, with highest concentrations in the second half of the night. NBL budget flux estimates were obtained via a time–space kriging approach. Main uncertainties of NBL budget flux estimates were associated with instationary atmospheric conditions and the estimate of the inversion height z i (top of volume integration). The mean NBL budget fluxes of 1.60 ± 0.31 μg CH 4 m -2 s -1 (1.40 ± 0.50 and 1.66 ± 0.20 μg CH 4 m -2 s -1 in 2011 and 2012, respectively) were in good agreement with local inventory estimates based on current livestock number and default emission factors, with 1.29 ± 0.47 and 1.74 ± 0.63 μg CH 4 m -2 s -1 for 2011 and 2012, respectively. This indicates that emission factors used for the national inventory reports are adequate, and we conclude that the NBL budget approach is a useful tool to validate emission inventory estimates.
    Print ISSN: 1680-7367
    Electronic ISSN: 1680-7375
    Topics: Geosciences
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