Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
492188 | Simulation Modelling Practice and Theory | 2014 | 11 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Xiaomei Hu, Biao Wang, Beibei Fan, Zhifeng Xu, Jing Chang,