Abstract:

The development of water system will directly affect the entire economic and social sustainable development The characteristics of water system are open，evolutionary，emergence and nonlinear The water resources are related with many factors，such as a variety of water resources，population，social and economic development indicators. They together form a typical complex nonlinear system In this paper，based on informational reality and maximum flux principle （MFP），a new dynamical equation that controls the generation and evolution of the water resources system was got，and the informational dynamic model of water resources system was built Based on this model，evaluation criteria was derived As a model with ontological foundation，the dynamic process was objective and easy to operate，without a prior given parameters artificially With the neural network provided by MATLAB，the dynamic equation that controled patterns could be resolved According to the process that the elements reached stable through selfemerging，the numerical simulation method of new theoretical framework could be established Therefore，the new model could give evaluation about the structure state of any complex system，including the water resources system The paper finally made an assessment on the abundance of various basin water resources in the Liaoxi Coastal River The ξ value of all levels of the standard was studied The water resources abundance standard could be divided into five grades according to the corresponding standard，which were very rich，rich，medium，dry，and extremely dry Base on the ξ value of the standard，water resources on basin 4 was extremely dry，basin 1，2，3 were dry，and basin 5，6，7，8，9 were medium The assessment results were compared with other models and the results showed that the method was reasonable and practicable Because the model reflects the evolution of the kinetic mechanism in water resources systems and it also reflects the spacetime evolution of the properties， it has  advantages in the evaluation of water resources abundance and it can also be used for the predictions of water resources abundance