A KMC-Based Multi-Scale Evolution Simulation Method of Dust in Virtual Campus

نویسندگان

  • Xiaomei Hu
  • Yubin Wang
  • Junjun Hu
چکیده

Dust evolution simulation provides an important way to analyze the impact of dust on the environment. Since wind speed plays a key role in dust evolution, multi-scale simulation is applied to simulate the wind speed in order to improve the accuracy of wind speed simulation and reduce the amount of calculation. Through k-means clustering, the virtual campus can be divided by grids with different scales and multi-scale simulation of wind speed can be realized. KMC-based multi-scale simulation model of dust evolution in virtual campus is proposed. Experimental results show that KMC-based multi-scale dust evolution simulation model can improve the accuracy of the simulation and reduce the computational cost at the same time, which proves the effectiveness of dust evolution simulation system based on multi-scale modeling.

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تاریخ انتشار 2016