Integrated optimal allocation model for complex adaptive system of water resources management (I): Methodologies

Based on complex adaptive system theory, the characteristics of water resources allocation system of river basin are analyzed. Evolutionary mechanisms and process of complex adaptive water resources allocation system in Dianchi basin are researched, and also characteristics of "learning". A complex adaptive system model of water-resource allocation is established during analyzing the influence factors and the reaction rules of water consumer agents and water provider agents. And based on this model, water resources in Dianchi basin is allocated only under Dianchi water provider and Zhangjiu river Yunlong reservoir water provider by using the platform of matlab. Finally, corresponding calculation results and conclusions are concluded.

Download Full-text

Optimal Allocation Model of Water Resources Based on the Prospect Theory

Water ◽

10.3390/w11061289 ◽

2019 ◽

Vol 11 (6) ◽

pp. 1289 ◽

Cited By ~ 3

Author(s):

Huaxiang He ◽

Aiqi Chen ◽

Mingwan Yin ◽

Zhenzhen Ma ◽

Jinjun You ◽

...

Keyword(s):

Water Resources ◽

Prospect Theory ◽

Optimal Allocation ◽

Cumulative Prospect Theory ◽

Resources Allocation ◽

Simulation Methods ◽

Allocation Model ◽

Rule Based ◽

Highly Skilled ◽

Optimal Allocation Model

The rational allocation of water resources in the basin/region can be better assisted and performed using a suitable water resources allocation model. Rule-based and optimization-based simulation methods are utilized to solve medium- and long-term water resources allocation problems. Since rule-based allocation methods requires more experience from expert practice than optimization-based allocation methods, it may not be utilized by users that lack experience. Although the optimal solution can be obtained via the optimization-based allocation method, the highly skilled expert experience is not taken into account. To overcome this deficiency and employ the advantages of both rule-based and optimization-based simulation methods, this paper proposes the optimal allocation model of water resources where the highly skilled expert experience has been considered therein. The “prospect theory” is employed to analyze highly skilled expert behavior when decision-making events occur. The cumulative prospect theory value is employed to express the highly skilled expert experience. Then, the various elements of the cumulative prospect theory value can be taken as the variables or parameters in the allocation model. Moreover, the optimal water allocation model developed by the general algebraic modeling system (GAMS) has been improved by adding the decision reversal control point and defining the inverse objective function and other constraints. The case study was carried out in the Wuyur River Basin, northeast of China, and shows that the expert experience considered as the decision maker’s preference can be expressed in the improved optimal allocation model. Accordingly, the improved allocation model will contribute to improving the rationality of decision-making results and helping decision-makers better address the problem of water shortage.

Download Full-text

Establishing and Application of Ecology-Oriented Water Resources Optimal Allocation Model in Chanba River Basin

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.518-523.4165 ◽

2012 ◽

Vol 518-523 ◽

pp. 4165-4170

Author(s):

Xiao Yu Song ◽

Huai You Li ◽

Wen Juan Shi

Keyword(s):

Water Resources ◽

River Basin ◽

Optimal Allocation ◽

Supply And Demand ◽

Sustainable Use ◽

Optimization Theory ◽

Model Parameters ◽

Allocation Model ◽

Optimal Allocation Model ◽

Water Resources Optimal Allocation

In this paper, based on the fact of water resources shortage, environmental degradation in Chanba River basin, using multi-objective optimization theory, we established the ecology-oriented water resources optimal allocation model and achieved the coupling between water quantity and quality. According to supply and demand of water resources in two levels of years (2020, 2030) and the guaranteed rate 75%, developed model parameters (coefficients), called the optimization function to solve it. The model is applied to Chanba River basin, indicating that the model is reasonable, efficient algorithms The optimal allocation model and the results reflect the concept of sustainable development for ecological, economic efficiency and help to improve water supply reliability, the sustainable use of water resources planning and management provides a basis for decision making.

Download Full-text

Improvement of the return flow allocation in the Water Resources Management Model of Alberta Environment

Canadian Journal of Civil Engineering ◽

10.1139/l93-078 ◽

1993 ◽

Vol 20 (4) ◽

pp. 613-621 ◽

Cited By ~ 6

Author(s):

Nesa Ilich

Keyword(s):

Water Resources ◽

River Basin ◽

Water Resources Management ◽

River Basin Management ◽

Management Model ◽

Return Flow ◽

Basin Management ◽

Allocation Model ◽

Resources Management ◽

Flow Algorithm

This paper describes recent developments related to a new return flow algorithm built into the Water Resources Management Model (WRMM) of Alberta Environmental Protection. An earlier return flow allocation method which was used in the WRMM did not always give satisfactory results. It was essential to fix this problem, since correct modelling of the return flows in overall river basin management is of crucial importance. The new return flow algorithm offers more reliable return flow allocation without detrimental effects on the overall model solution. This model is a major river basin planning tool in western Canada used to analyze responses of a river basin to varying operating policies or structural developments. It is a simulation model with a nested optimization subprogram. As a deterministic, steady state, and surface water allocation model, it normally relies on the estimates of natural flows and water demands throughout the river basin. The WRMM can provide quick simulations of any river basin with any number of components within a microcomputer environment. The model is used in ongoing river basin management studies in Alberta and other western provinces in Canada. Key words: water management, computer modelling, simulation, optimization, irrigation.

Download Full-text