Author(s)

I. Dimov & A. Karaivanova

Abstract

Monte Carlo parallel algorithms* I. Dimov, A. Karaivanova Center for Informatics and Computer Technology, Bulgarian Academy of Sciences, Acad. G.Bonchev ABSTRACT The problem of creation and investigation of parallel Monte Carlo algo- rithms for solving Large- Scale Air Pollution Problems is studied. We con- sider a model of Air pollution transport. This model includes diffusion, advection (drift due to the wind), deposition and chemical reactions. For obtaining the initial and boundary conditions of the model it is necessary to deal with Noisy Data. The work consists of three parts. In the first part we obtain a practical efficient Monte Carlo method for estimating the optimum amount of smoothing from the noisy data. In the second part a special Monte Carlo techniques (Monte Carlo with "frozen velocities") for calculation of concentrations is developed and stud- ied. An error analysis of this method is realized. The last part of the work deals with par

Keywords