Simulation and prediction of the spatial-temporal evolution of soil-salinization based on Cellular Automata(CA) model

Soil-salinization is one of the main forms of land degradation in arid and semi-arid region, and its happening and development are complex non-linear dynamic process. Influence factors and dynamic mechanism of soil-salinization were confirmed through analyzing the soil-salinization characteristic in Changling County, Jilin Province. Geo-Salinization model was set up based on CA model which has stronger capability of computing and simulating spatial-temporal dynamic evolvement of complex system and with the support of GIS and RS technology. Combined with relative attribution data and spatial data, GeoCA-Salinization model was used to simulate and predict soil-salinization process in Changling County. Results show that the simulation and prediction of spatial-temporal evolution of soil-salinization tally with the factual situation, which reflect the soil-salinization development situation in Changling County. Compared with other methods, the method described in this paper can realize the combination of discretional valid time interval and instantaneous dynamic visualization expression better and is an effictive way to simulate and predict soil-salinization spatial-temporal evolvement.