ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-4-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 239–245, 2020
https://doi.org/10.5194/isprs-annals-V-4-2020-239-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 239–245, 2020
https://doi.org/10.5194/isprs-annals-V-4-2020-239-2020

  03 Aug 2020

03 Aug 2020

SIMULATION AND EXPRESSION OF ATMOSPHERIC POLLUTION DISPERSION PROCESS BASED ON 3D GRID

J. Shi1, X. Tong2, W. Yang3, Y. Chang1, Y. Zhong1, X. Gai1, and Q. Zuo1 J. Shi et al.
  • 1State Key Laboratory of NBC Protection for Civilian, Beijing, China
  • 2Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, China
  • 3Academy of System Engineering, Beijing, China

Keywords: 3D Grid, Atmospheric Diffusion, Cellular Automata, Data Model, Simulation

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.