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y/h<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

7 Models for Computer Simulation of <strong>Wind</strong> Flow 41<br />

q2 /(2u 2<br />

Ref)=0.05<br />

−2 −1 0 1<br />

x/h<br />

2 3<br />

Fig. 7.1. Turbulent kinetic energy over a forested hill. <strong>Wind</strong> tunnel data (dashed<br />

line, solid line); Svensson [6] (dashed line), Liu [4] (solid line)<br />

y/h<br />

2<br />

1.5<br />

1<br />

0.5<br />

x/h=0.02<br />

0<br />

0 2<br />

0.25 0.55<br />

1.2<br />

2.6 6.5 13.2<br />

0 2<br />

0 2<br />

0 2<br />

k (m/s) 2<br />

0 2<br />

0 2<br />

0 2<br />

21.8<br />

0 2<br />

Fig. 7.2. Turbulence kinetic energy along a forest clearing. <strong>Wind</strong> tunnel data (�);<br />

Svensson [6] (dashed line), Liu [4] (solid line), v2-f model (dotted line)<br />

layer type of flow above the trees. The results by the two models in [4, 6]<br />

(7.2 and 7.3) are virtually identical, and downstream of the hill, 2–5 tree<br />

heights above the top of the trees, the difference between wind tunnel data<br />

and model results is too high. The experimental and computer result differ<br />

by a factor of 10, suggesting hidden aspects in the experimental data that<br />

are beyond model capabilities. For instance the presence of large unsteady<br />

flow structures originating from the trees at hill top, which would have gone<br />

unnoticed by a conventional averaging of the LDA measurements.<br />

Flow over a modelled flat forest<br />

The effect of the two alternative formulations as in [6] and [4], is most obvious<br />

in the case of the wind flow along a clearing, Fig. 7.2. Model [6] yields turbulence<br />

values which are too high everywhere, as a result of insufficient turbulence<br />

dissipation along the forest upstream of the clearing. The two laboratory<br />

models (sinusoidal hill and flat clearing) differ also in terms of the forest density,<br />

which may evidence the differences between the model approaches.

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