Research on Dust Evolution Simulation System Based on Dynamic Data Driven

Xiao-mei HU, He-wei QU, Jun-jun HU, Yuan TIAN

Abstract


The dust evolution simulation provides an important way to analyze the impact of dust on the environment. Dynamic data driven application system framework is applied and dust evolution simulation model based on DDDAS framework is proposed. Compared with the simulation model of dust evolution without DDDAS, the functions of the inputs of real-time data and modification of simulation parameters ensure the improvement of the accuracy of dust evolution simulation. The experimental results show that the dust evolution simulation with DDDAS framework is more precise than the simulation without DDDAS, which proves the effectiveness of the dust evolution simulation system based on dynamic data driven.

Keywords


Dynamic data driven, Dust evolution simulation, Kinetic monte carlo, Dust accumulation

Publication Date


2016-12-21 00:00:00


DOI
10.12783/dteees/seeie2016/4529

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