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Calculation of Standard Deviation of Concentration Using a Second-Order Closure Theory

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Air Pollution Modeling and its Application XXI

Abstract

The quality of the simulation of the motion and spread of a passive substance in a puff model depends on the ability to estimate the speed of the wind at the source height and standard deviation of concentration both in time and space. The wind profile is calculated using the standard Monin-Obukhov similarity theory and standard deviation of concentration, (“sigmas” in the further text) is calculated using a scheme based on the second-order closure theory. To asses the success of the model comparison was made with two other approaches for the calculation of the “sigmas”, the Briggs empirical method and a semi-empirical scheme based on the statistical theory. All of these methods are based on the various parameters of turbulence which were calculated from standard measurements using the so called meteorological pre-processing. Finally the results were compared with the results from the measurements from Tracer Dispersion Experiments in the Copenhagen Area during 1978/1979. First we have analyzed the wind extrapolation results and when we were satisfied with those we did comparisons with the observed concentration.

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Acknowledgments

This work has been partially funded by the Republic of Serbia, Ministry of Science, grants no. 1197 and 141035, Italian ministry of Environment and territories through its two projects, SINTA and ADRICOSM-STAR

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Correspondence to Zorica Milivoj Podrascanin .

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Podrascanin, Z.M., Rajkovic, B. (2011). Calculation of Standard Deviation of Concentration Using a Second-Order Closure Theory. In: Steyn, D., Trini Castelli, S. (eds) Air Pollution Modeling and its Application XXI. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1359-8_25

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