The Study On Decomposition-Coordination Model Of Large-scale System In Optimal Allocation Of Regional Water Resources

Water resources are the basic natural resources and strategical economy resources. With the incessant population increase, the social and economic rapid development, and the people's living standard improvement, the inconsistency of water supply and requirement is becoming more and more obtrusive. How to exploit and utilize water resources reasonably, and allocate them scientifically on the basis of the existing circumstance of water resources and the strategical demand of social and economic development in China, has become an emergent problem which should be solved.In this paper, on the basis of analyzing water demand prediction method and its classification, the application of artificial neural networks and grey method in water demand prediction was discussed emphatically. Then, the connotation and composition of water resources systems were analyzed; furthermore, the model of water resources optimal allocation was established. According to the Lagrange dual theory and the large-scale system decomposition-coordination theory, the minimization problem can be turned to its maximum problem. Then a complicated question is decomposed into some sub questions, which is simpler and smaller than the original problem in scale. As a result, the optimization of the whole large-scale system is achieved by coordinating the relation between every subsystem, and then the optimal solution of model is obtained.According to the actual condition of Taihu Basin, the existing circumstance and the degree of exploit and utilization of water resources were analyzed, and water demand was forecasted. In the end, the regional water resources were allocated by using the model established.