Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2184

 Title: Monte Carlo Study of Particle Transport Problem in Air Pollution Authors: Papancheva, R.Gurov, T.Dimov, I. Keywords: Monte Carlo AlgorithmsMonte Carlo Issue Date: 2003 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Pliska Studia Mathematica Bulgarica, Vol. 14, No 1, (2003), 107p-116p Abstract: The actual transport of the air pollutants is due to the wind. This normally called “advection of the air pollutants”. Diffusion and deposition are other two major physical processes, which take place during the transport of pollutants in the atmosphere. In this paper we study two classes of grid-free Monte Carlo (MC) algorithms for solving an elliptic boundary value problem, where the partial differential equation contains advection, diffusion and deposition parts. The grid-free MC approach to solve the above equation uses a local integral representation and leads to a stochastic process called a random “Walk on balls” (WOB). In the first class of algorithms, the choice of a transition density function in the Markov chain depends on the radius of the maximal ball, lying inside the domain, in which the problem is defined, and on the parameters of the differential operator. While the choice of a transition density function in the second class of algorithms does not depend on the deposition part of the problem. The computational complexity of both classes of grid-free MC algorithms was investigated using varied numerical tests on a PowerPC (G4 w/AltiVec) 450 MHz running YDL 2.0. Description: 2002 Mathematics Subject Classification: 65C05. URI: http://hdl.handle.net/10525/2184 ISSN: 0204-9805 Appears in Collections: 2003 Volume 14

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