| Crust is the closest sphere of human’s manufacture and living. Understanding crustal thermal evolution’s process plays an important role in the study of crustal activity and disaster prediction. Nowadays, the study of thermal state evolution of crust mainly uses the method of numerical simulation. The method of numerical simulation is very complex, hard to combine with GIS system and can’t directly make use of the abundant GIS data. Cellular automata is a kind of common method for nonlinear system simulation. Because of the limitation of scale, it is difficult to extend the existing cellular automata to the simulation of crustal heat conduction. This paper designs a simulating method of cellular automata which is face to heat conduction of the crust in large scale based on SDOG-ESSG and use SDOG-ESSG as cell space. And it carries an experiment which is compared with the method of numerical simulation. The main result of the paper is as follows:(1)According to the characteristics of SDOG-ESSG,this paper designs the corresponding neighbor cellular automata model. And in order to implement the state of cell more quickly, we design an index with three layers structure.(2)Combined with the law of thermodynamics, this paper designs a crustal heat conduction rule of cellular automata based on SDOG-ESSG and the processing method of the border of cellular automata.(3)Reference to the result of the numerical simulation software, it carries out the contrast experiment with the method of cellular automata to test and verify the reliability of the method of cellular automata. On this basis, it implements the simulation of continental crust heat conduction of cellular automata. |