Abstract

Abstract. Aiming at the problems existing on the expression of atmospheric pollution dispersion, a data model of state-oriented and object-oriented hybrid modeling is designed. The model supports true three-dimensional grid representation and cellular automata deduction, and can combine the calculation and deduction of atmospheric pollution to improve the accuracy and efficiency of the model. The simulation experiments of single source and multi-source pollutants are carried out. The results show that: the model conforms to the diffusion law of atmospheric pollution. The pollutant concentration at any time, section or space in the whole diffusion process can be calculated and expressed dynamically, which improves the accuracy, rapidity, intuitiveness and analysation of the deduction of atmospheric pollutant diffusion process.

Highlights

  • At present, the derivation of the diffusion process of atmospheric pollution is based on the theory of atmospheric diffusion

  • The atmospheric diffusion simulation process of atmospheric pollution consists of data preparation, diffusion modeling calculation, and diffusion process deduction expression

  • In order to solve the shortcomings of the traditional methods, a new expression model of atmospheric pollutant diffusion based on the three-dimensional grid will be studied from the perspective of data model, and the diffusion process will be effectively expressed by the way of three-dimensional cellular automata

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Summary

INTRODUCTION

The derivation of the diffusion process of atmospheric pollution is based on the theory of atmospheric diffusion. Used atmospheric diffusion models include Gaussian models (Raza et al, 2005), Lagrangian puff models (Thykier-Nielsen et al, 1999; Yu et al, 2000), Lagrangian random walk models (Yan et al, 2009; Zhang et al, 2009), Euler models (Lauritzen et al, 2006; lagzi et al, 2004), and CFD turbulence models (de Sampaio et al, 2008). These atmospheric diffusion models are relatively mature, but the expression of the diffusion process is very inadequate (Xu et al, 2009). In order to solve the shortcomings of the traditional methods, a new expression model of atmospheric pollutant diffusion based on the three-dimensional grid will be studied from the perspective of data model, and the diffusion process will be effectively expressed by the way of three-dimensional cellular automata

Analysis of existing spatial data model
True 3D expression and cellular model based on 3D grid
Mixed data model of object-oriented and state oriented
SIMULATION OF ATMOSPHERIC DIFFUSION PROCESS BASED ON THREE-DIMENSIONAL GRID
Evolution rule
Grid processing of boundary and emission source
Operation process
SIMULATION TEST
Experiment 1
Wind tunnel experiment
Three-dimensional wind field
Analysis of test results
CONCLUSION
Full Text
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