Including,(1) Connect the characteristic of short-supplied area of water resource, make out four targets including flood protection, water supply, environment, society, give out different evaluation indexes, and build the multipurpose overall evaluations hierarchical structure model.

Using the large scale system optimal theory and the decomposition-aggregation method, a LP-DP model with two-level hierarchical structure is presented in this paper. It can be used to allocate runoff in space and time optimally.

Considering distributed parameter characteristic of the system, a general response function is used to couple physical model and optimization model, then a decomposition-coordination approach is established based on hierarchical structure and complex interactions of the system.

In the second part, the water circulation process and its physical principles are analyzed in details . According to the water supply system structure and water resources operation principles of catchment, the method of large scale system decomposition-coordination is applied to solve the problems of optimized water allocation system , and the two-level hierarchical optimization model is established and resolved by simulation technique combined with the optimal control arithmetic.

Large Scale System Optimization Theory is a rising subject to settle Large Scale System (LSS) optimization decision-making in 1970s, it decomposes the LSS into some subsystems, forming successively structure, then coordinate them under the strict of total aim and restriction condition.

Finally, according to Jiaokou's management demand and structure relation of pumping stations network, The three layers mathematical model of decomposion -Coordination and decomposion-aggregation for the large scale system is set up and the water resources optimization allocation and the optimum operation tactics of pumping units is provided in different water supply volume of trench's head.

According to the optimization theory of the large scale system of water resources, the lineage degradation structure model of decomposition and aggregation is set up to solve the problem of rational layout of projects such as sluices, ditches and wells and to optimize the conjunctive usage of surface and ground water in the basin.

Based on the multilevel hierarchy optimization control theory and method, the authors have studied the water demand management model of Dalian City. A three level hierarchy structure of water demand management model is proposed.

Consideration was given to a model of the multilevel hierarchical structure whose elements strive to maximize the difference between the stimulation and the costs of managing the subordinated elements by reorganizing the inferior structural part.

The model is considered of the multilevel hierarchical structure that controls a few "production lines" (sequential business-processes) with functional links by the kinds of performed operations.

The testing system is intended to test the electronics at each level of its hierarchical structure and also to perform the initial check of the γ-quantum detector itself.

Light not only controls photosynthesis (source activity) but morphophysiological characteristics of plants with their hierarchical structure of sinks too.

We consider two methods for specifying initial conditions: with and without a hierarchical structure at the beginning of the evolution.

In order to design parameters and operating rules of waterpower stations, it is necessary to take into account compensation adjustment of multireservoir hydroelectric stations in river planning. There are of obvious interests tooptimize compensation of a group of hydropower stations. It may raise firm power, increase replacing power and cut down investment of power system, and so on. Nevertheless, the great number of variables and constraints with the supplement of reservoirs, typically characterizing this problem,...

In order to design parameters and operating rules of waterpower stations, it is necessary to take into account compensation adjustment of multireservoir hydroelectric stations in river planning. There are of obvious interests tooptimize compensation of a group of hydropower stations. It may raise firm power, increase replacing power and cut down investment of power system, and so on. Nevertheless, the great number of variables and constraints with the supplement of reservoirs, typically characterizing this problem, makes very hard to pursue its solution via classical optimal methods. For the sake of high dimensionality, the paper presents a hierarchical control method of optimal compensation adjustment of multireservoir hydroelectric stations. The objective function that is chosen is maximization of the firm power of all water power stations subject to the requirement of well-distributed power. This method consists in breaking up the large and complicated original problem of multi-reservoir optimization, by interaction balance method, into independent reservoir subproblems. A two-level scheme to solve such problem is devised. In the first level, the Flexible Tolerance method is used to solve subproblem. The gradient method is applied to the second-level so as to coordinate subproblems. This enables to find optimal solution in the integrated problem by a simple iterative procedure. An application based on the method to Daduhe river in Sichuan province PRC, is developed with satisfactory results. It is shown that the method requires less memory space, which considerably eases dimensionality difficulties.

Using the large scale system optimal theory and the decomposition-aggregation method, a LP-DP model with two-level hierarchical structure is presented in this paper. It can be used to allocate runoff in space and time optimally. To solve the model, the authors propose a new algorithm, "discrimination coefficicnt-DP", which can save computation time effectively. The application of the model and the algorithm to the water log control system in Four Lake Area has got satisfactory results.

A SLP-SDP model with two-level hierarchical structure is presented in this paper by using the large scale system decomposition-aggregation theory and stochastic programming method. It can be used for optimal operation of waterlog control systems in plain lake areas. SDP model can be used to solute the optimal distribution of water in time. Inflow to the lake and water level in the outside river at the main drainage outlet are selected as two stochastic state variables in SDP. SLP model can be used to find the...

A SLP-SDP model with two-level hierarchical structure is presented in this paper by using the large scale system decomposition-aggregation theory and stochastic programming method. It can be used for optimal operation of waterlog control systems in plain lake areas. SDP model can be used to solute the optimal distribution of water in time. Inflow to the lake and water level in the outside river at the main drainage outlet are selected as two stochastic state variables in SDP. SLP model can be used to find the optimal distribution of water among the pumping stations in one period. The application of the model to the Four-Lake Area has obtained satisfying results.