Eddy covariance observations of methane and nitrous oxide emissions: Towards more accurate estimates from ecosystems

Eddy covariance observations of methane and nitrous oxide emissions: Towards more accurate estimates from ecosystems

Kroon-van Loon, P.S.

Jonker, H.J.J. (promotor)

Applied Sciences

Multi-Scale Physics, Research Group Clouds, Climate and Air Quality

2010-06-08

About 30% of the increased greenhouse gas (GHG) emissions of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) are related to land use changes and agricultural activities. In order to select effective measures, knowledge is required about GHG emissions from these ecosystems and how these emissions are influenced by management and meteorological conditions. Accurate emission values are therefore needed for all three GHGs to compile the full GHG balance. However, the current annual estimates of CH4 and N2O emissions from ecosystems have significant uncertainties, even larger than 50%. The present study showed that an advanced technique, micrometeorological eddy covariance flux technique, could obtain more accurate estimates with uncertainties even smaller than 10%. The current regional and global trace gas flux estimates of CH4 and N2O are possibly seriously underestimated due to incorrect measurement procedures. Accurate measurements of both gases are really important since they could even contribute for more than two-third to the total GHG emission. For example: the total GHG emission of a dairy farm site was estimated at 16.10^3 kg ha-1 yr-1 in CO2-equivalents from which 25% and 45% was contributed by CH4 and N2O, respectively. About 60% of the CH4 emission was emitted by ditches and their bordering edges. These emissions are not yet included in the national inventory reports. We recommend including these emissions in coming reports.

Peat land
Dairy farm
Agriculture
Chamber
Quantum cascade laser
Laser doppler anemometer
Systematic error
Uncertainty
Kaimal spectra

http://resolver.tudelft.nl/uuid:0af4d5de-14bf-4d19-96d8-b5840c1ec698

9789090253886

Institutional Repository

doctoral thesis

(c) 2010 Kroon-van Loon, P.S.