Geospatial Inefficiencies Associated With Digital Replantations at High-Volume Centers and Optimal Allocation Model for Centralization of Replantations

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.

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A Regional Water Optimal Allocation Model Based on the Cobb-Douglas Production Function under Multiple Uncertainties

Water ◽

10.3390/w9120923 ◽

2017 ◽

Vol 9 (12) ◽

pp. 923 ◽

Cited By ~ 12

Author(s):

◽

Keyword(s):

Production Function ◽

Optimal Allocation ◽

Allocation Model ◽

Model Based ◽

Multiple Uncertainties ◽

Optimal Allocation Model ◽

Regional Water ◽

Douglas Production Function

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Optimal Allocation Model for EV Charging Stations Coordinating Investor and User Benefits

IEEE Access ◽

10.1109/access.2018.2843810 ◽

2018 ◽

Vol 6 ◽

pp. 36039-36049 ◽

Cited By ~ 12

Author(s):

Youbo Liu ◽

Yue Xiang ◽

Yangyang Tan ◽

Bin Wang ◽

Junyong Liu ◽

...

Keyword(s):

Optimal Allocation ◽

Allocation Model ◽

Optimal Allocation Model ◽

Charging Stations ◽

Ev Charging

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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.

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