Early warning system of water resources security is a multi-level and complex system made of many factors. By analyzing current situation of water resources security early warning, operating mechanism of water resources security early warning system is put forward. Logic, time and knowledge related to operating mechanism are discussed. For early warning threshold decision is one of key technologies in water resources security early warning, warning threshold decision and warning degree classification of water resources security early warning are set forth. These methods are systematic method, control chart method, catastrophe theory method and expert decision method. Adopting the water resources security early warning system, situation can be analyzed and predicted promptly and effectively.

Located in the upper stream of the Hanjiang River, the Ankang Reservoir is a large hydro-junction mainly for electric power generation as well as for flood prevention and shipping. Rainstorms in the Hanjiang River in summer have high occurrence with concentrated floods characterized by sudden surge and sudden fall. Considering staggering the Hanjiang River and the Yuehe River flood peaks, on the premise of ensuring the dam safety and meeting the flood prevention requirements of Ankang Town, this Thesis establishes the mathematical model for the Ankang Reservoir large flood multi-objective optimal deployment, adopts the progressive optimality algorithm (POA) to solve the model to work out the optimal control with the inconsistent objectives of flood prevention and power generation during large flood and gives examples. The result shows that the mathematical model is workable and practicable and the solution methods are rapid and accurate.

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According to water power, structure and foundation conditions of aqueduct, it has established aqueduct safety assessment indicator system and standards. Based on statistical learning theory, support vector machine shifts the learning problems into a convex quadratic programming problem with structural risk minimization criterion, which could get the global optimal solution, and be applicable to solving the small sample, nonlinearity classification and regression problems. In order to evaluate the safety condition of aqueduct, it has established the aqueduct safety assessment model which is based on support vector machine. It has divided safety standards into normal, basically normal, abnormal and dangerous. According to the aqueduct safety assessment standards and respective evaluation level, the sample set is generated randomly, which is used to build a pair of classifier with many support vectors. The results show that the method is feasible, and it has a good application prospect in irrigation district canal building safety assessment.

Pre-warning system of water resources security is a multi-level and complex system made of many factors. By analyzing current situation of water resources security pre-warning, operating mechanism of water resources security pre-warning system is put forward, Logic, time and knowledge related to operating mechanism are discussed. For pre-warning threshold decision is one of key technology in water resources security pre-warning, warning threshold decision and warning degree classification of water resources security pre-warning are set forth. These methods are systematic method, control chart method, synthetic judgement method, catastrophism method and expert decision method. Adopting the water resources security pre-warning system, situation can be analyzed and predicted promptly and effectively.