Dynamic forecast of regional groundwater level based on grey Markov chain model

The regional groundwater level is affected by several factors and highly nonlinear. Aiming at unstable change and highly nonlinear characteristics of the regional groundwater level, the grey Markov chain model is presented by means of combining the grey system theory with the dispersed Markov chain theory. The mean and standard deviations of information series are taken as the classification standard of precipitation states. The variance of the regional groundwater level for the past 14 years in the irrigating areas is classified into five classes according to the precipitation data. The predication results show that the model is feasible.