ISPRS-Annals ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-V-4-2020-239-2020 SIMULATION AND EXPRESSION OF ATMOSPHERIC POLLUTION DISPERSION PROCESS BASED ON 3D GRID Shi J. 1 Tong X. 2 Yang W. 3 Chang Y. 1 Zhong Y. 1 Gai X. 1 Zuo Q. 1 State Key Laboratory of NBC Protection for Civilian, Beijing, China Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, China Academy of System Engineering, Beijing, China 03 08 2020 V-4-2020 239 245 Copyright: © 2020 J. Shi et al. 2020 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/V-4-2020/239/2020/isprs-annals-V-4-2020-239-2020.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/V-4-2020/239/2020/isprs-annals-V-4-2020-239-2020.pdf

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.