Title of article :
Research on KMC-based evolution simulation of dust particles in virtual campus environment
Author/Authors :
Hu، نويسنده , , Xiaomei and Wang، نويسنده , , Biao and Fan، نويسنده , , Beibei and Xu، نويسنده , , Zhifeng and Chang، نويسنده , , Jing، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Abstract :
The evolution simulation of dust particles provides an important way to analyze the impact of dust on human beings and the environment. Kinetic Monte Carlo (KMC) method is one of the important researches that carry out dynamic simulation of particle motion. Based on the KMC method, a simulation algorithm of the evolution of dust particles under the influence of the natural factors and human factors in a virtual campus is proposed. The experimental results show the accuracy and effectiveness of the simulation algorithm by contrast with the actual results. The simulation and visualization results will provide a reference for city planning and pollution prediction.
Keywords :
Dust particle , Re-suspension , Kinetic Monte Carlo
Journal title :
Simulation Modelling Practice and Theory
Journal title :
Simulation Modelling Practice and Theory