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PhD Thesis, 2007 - University College Cork

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Chapter 3<br />

Materials and Methods<br />

assumption that the evolution of position and velocity of a fluid element is<br />

described by a Markov process (Hsieh et al., 2000), thus a random process<br />

whose future probabilities are determined by its most recent values. The<br />

weakness of the Lagrangian-stochastic approach is the need for relatively<br />

detailed knowledge of turbulent flow characteristics (Sogachev & Lloyd, 2004).<br />

These footprint models are generally much less used than Eulerian models<br />

because of their high computational requirements. Examples of these models<br />

were developed by Hsieh et al. (1997), Flesch (1996) and Leclerc and Thurtell<br />

(1990).<br />

- Large eddy simulation (LES) approach. These models can simulate the<br />

turbulence statistics and the scalar concentration field under any given<br />

conditions (Sogachev & Lloyd, 2004). The LES models are free of a predescribed<br />

turbulence field and can also cope with horizontal inhomogeneity,<br />

but are computationally expensive and limited to relatively simple flow<br />

conditions by a number of grid points in the flow simulation. This approach is a<br />

trade-off between the level of complexity of the model and computational<br />

expense using a closure model of suitable order (Vesala et al., 2004).<br />

For our footprint analysis we used an eulerian analytical model developed by Hsieh<br />

et al. (2000) (Chapter 5 and 6, Appendix 1 and 2). This model is based on a<br />

combination of Lagrangian stochastic dispersion model results and dimensional<br />

analysis. The main advantage of this model is its ability to analytically relate<br />

atmospheric stability, measurement height and surface roughness length to flux and<br />

footprint. The model by Hsieh et al. (2000) estimates the location of the peak and<br />

of the length of the positive skew distribution curve that defines the footprint. A<br />

cut-off at 67 % of the footprint length was used to filter fluxes originating from<br />

outside the pristine part of the bog (see 3.4.4, Chapter 6, Appendix 1). Furthermore<br />

the definition of the 67 % of the footprint length was used as a cut-off point for the<br />

upscale of chamber measurements to the EC footprint with the aim of comparing<br />

CO 2 fluxes measured with the EC and chamber techniques (Appendix 3).<br />

31

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