By B. O. Akkoyunlu, M. Tayanç (auth.), Dimitrios Melas, Dimiter Syrakov (eds.)
An knowing of long-range delivery of air toxins within the surroundings calls for a data of the proper atmospheric dynamic and chemical strategies energetic on the local scale in addition to the temporal and spatial distribution of emissions. Numerical modeling is the best option to verify the atmospheric delivery, photochemistry and deposition pathways. The ebook accordingly discusses the actual and chemical methods that make sure local pollution and offers the appropriate modeling concepts to explain different atmospheric methods which are lively at that scale.
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Additional info for Air Pollution Processes in Regional Scale
The data from the HIRLAM simulations that we apply in this study were also used in Rutgersson et al.  where further details of the model and the simulations can be found. The height of the boundary layer is not an output parameter from the HIRLAM. Here we applied and compared two methods to extract the boundary-layer height from the HIRLAM output data. Both are based on a bulk Richardson-number approach. 25. The two methods differ in their definition of the bulk Richardson number. In the approach described in Sørensen  the bulk Richardson number for the layer between the surface and the height z above the surface is given by the following expression Ri B = The quantities θ (s) and g z (θ ( z ) − θ ( s )) θ ( s)(u ( z ) 2 + v( z ) 2 ) θ (z ) (1) are the potential virtual temperatures at the lowest model level and height z , respectively, u (z ) and v(z ) are the horizontal wind components at height z , and g is acceleration due to gravity.
Time as in Figure 4. 4. Discussion and Conclusions During the experiment the water was generally warmer than the air, positive sensible heat flux to the atmosphere was observed and a convectively driven boundary layer formed over the water with height of 300 m to 500 m. The experimental period covered wind speed in the range from calm to 19 m s-1. The model simulations show that from 26 October to 1 November the island of Bornholm influences the boundary layer over Christiansø. The high-resolution simple applied model successfully predicts the boundary-layer height over Christiansø, but it vastly overestimates it when the effect of Bornholm is omitted from the simulation.
R-----. 3 OJ 02 Figur e 5. 0 1. ,...... - -, ~. 1 .... J 04 Figure 6. 1. 11)-7 Figu re 7. 00 1. R efer ences I. 2. 3. 4. 5. 6. 7. 8. , Farago, 1. and Havasi, A. , submitted. Dekk er, K. and Verwer, J. G. (1984) Stability of Runge -Kutta methods for stiff non-linear di fferenti al equat ions, CWI Monograph s 2, North-Holland Publishing Co. , Amsterdam. Dimov , 1. , Faragov L, Havasi, A and Zlatev, Z. (2002 ) L-commutativity of ope rators for splitting methods in air pollu tion models, Annal. Univ.
Air Pollution Processes in Regional Scale by B. O. Akkoyunlu, M. Tayanç (auth.), Dimitrios Melas, Dimiter Syrakov (eds.)