Review of soil erosion modeling using Cellular Automata in different spatial scales
LIU Xing-Fei, YUAN Li-Feng , TUN Chu-Fang, HE Yun-Yun
(1. College of Geography and Biological Information, Nanjing University of Posts and Telecommunications, 210003, Nanjing;2. Soil Erosion in Loess Plateau and Agricultural of Dry Land of National Key Laboratory, Institute of Soil and WaterConservation, Chinese Academy of Science and Ministry of Water Resources,712100,Yangling, Shaanxi;3. College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Yangling, Shaanxi: China)
Abstract：Soil erosion system is a typical nonlinear dynamic system, in the inner of which the erosion development and evolution is very complex and require effective technology and method to simulate and predict the process accurately. And the cellular automatic is a kind of discrete dynamics model with temporal and spatial features, which uses the method of bottom up and can be suitable to application in the time space evolution of soil erosion, for its inherent advantages in simulation and analysis the soil erosion system with spatial features. Then in the study of time-space evolution of soil erosion, the variation of spatial scales can cause that the erosion factors have different effects on the process of soil erosion. Therefore in the construction of CA model, in slope scale the main research is rill erosion and the change of soil particles, in small watershed scale the CA model includes more cell states and more complete erosion process, in region scale the CA focuses on interaction of the climate and topography. Because of no unified conversion rule in different scales, the CA model with low generality need three-dimensional visualization, automatically adjusting parameters with the method of data mining and modeling the intelligent CA simulating expert systems.
刘星飞1, 原立峰1, 2, 吴淑芳3, 霍云云3. 不同空间尺度下的土壤侵蚀元胞自动机建模评述[J]. 中国水土保持科学, 2012, 10(4): 113-120.
LIU Xing-Fei, YUAN Li-Feng , TUN Chu-Fang, HE Yun-Yun. Review of soil erosion modeling using Cellular Automata in different spatial scales. SSWCC, 2012, 10(4): 113-120.
2012, Vol. 10 
