scholarly journals Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China

Water ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 63
Author(s):  
Su Li ◽  
Zhihong Yan ◽  
Jinxia Sha ◽  
Jing Gao ◽  
Bingqing Han ◽  
...  
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Convergence Rates ◽  
High Reliability ◽  
Water Shortage ◽  
Gray Wolf ◽  
Total Water ◽  
Multi Objective ◽  
Comparison Results ◽  
Gray Wolf Optimizer

The reasonable allocation of water resources using different optimization technologies has received extensive attention. However, not all optimization algorithms are suitable for solving this problem because of its complexity. In this study, we applied an ameliorative multi-objective gray wolf optimizer (AMOGWO) to the problem. For AMOGWO, which is based on the multi-objective gray wolf optimizer, we improved the distance control parameter calculation method, added crowding degree for the archive, and optimized the selection mechanism for leader wolves. Subsequently, AMOGWO was used to solve the multi-objective optimal allocation of water resources in Handan, China, for 2035, with the maximum economic benefit and minimum social water shortage used as objective functions. The optimal results obtained indicate a total water demand in Handan of 2740.43 × 106 m3, total water distribution of 2442.23 × 106 m3, and water shortage of 298.20 × 106 m3, which is consistent with the principles of water resource utilization in Handan. Furthermore, comparison results indicate that AMOGWO has substantially enhanced convergence rates and precision compared to the non-dominated sorting genetic algorithm II and the multi-objective particle swarm optimization algorithm, demonstrating relatively high reliability and applicability. This study thus provides a new method for solving the multi-objective optimal allocation of water resources.

scholarly journals Application of Whale Optimization Algorithm in Optimal Allocation of Water Resources

2018 ◽  
Vol 53 ◽  
pp. 04019 ◽  
Author(s):  
Zhihong Yan ◽  
Shuqian Wang ◽  
Bin Liu ◽  
Xinde Li
Keyword(s):  
Water Resources ◽  
Optimization Algorithm ◽  
Optimal Allocation ◽  
Optimization Problems ◽  
Water Shortage ◽  
Whale Optimization Algorithm ◽  
Total Water ◽  
Water Users ◽  
Whale Optimization ◽  
Development And Utilization

In order to solve the water crisis, it is important to optimize the allocation of water resources. In this paper, the Whale Optimization Algorithm (WOA) is applied to the optimal allocation of water resources in Xingtai with the goal of maximum economic benefit and minimum total water shortage. The results show that the total water demand of different water users in each district is 26.94×108m3, the total allocated water is 19.83×108m3, the total water shortage is 7.11×108m3, and the water shortage rate was 26.39%. The lack of water is mainly concentrated in the primary industry. The result of the solution reflects the principle of water supply order and water use equity, which is in line with the actual development and utilization of water resources in the study area. It also verifies the feasibility of the whale optimization algorithm, such as less parameter adjustment, faster convergence, and better global optimization ability when solving water resources optimization problems.

scholarly journals Analysis and Research on the Optimal Allocation of Regional Water Resources

2018 ◽  
Vol 38 ◽  
pp. 03055
Author(s):  
Xi rui-chao ◽  
Gu yu-jie
Keyword(s):  
Water Resources ◽  
Basic Concept ◽  
Optimal Allocation ◽  
Present Situation ◽  
Water Shortage ◽  
Social Benefits ◽  
Allocation Model ◽  
Multi Objective ◽  
Optimal Allocation Model ◽  
Regional Water

Starting from the basic concept of optimal allocation of water resources, taking the allocation of water resources in Tianjin as an example, the present situation of water resources in Tianjin is analyzed, and the multi-objective optimal allocation model of water resources is used to optimize the allocation of water resources. We use LINGO to solve the model, get the optimal allocation plan that meets the economic and social benefits, and put forward relevant policies and regulations, so as to provide theoretical which is basis for alleviating and solving the problem of water shortage.

The Development and Optimal Allocation of Water Resources in Zhidan Country Energy Chemical Industrial Park

2012 ◽  
Vol 260-261 ◽  
pp. 1120-1124
Author(s):  
Peng Kang Jin ◽  
Lei Zhang ◽  
Xian Bao Wang ◽  
Yong Ning Feng
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Water Supply ◽  
Optimal Allocation ◽  
Water Shortage ◽  
Underground Water ◽  
Industrial Park ◽  
Total Water ◽  
Recycled Water ◽  
Chemical Industrial Park

Focusing on the water shortage and water stress during the construction period of Zhidan energy chemical industrial park, the optimal allocation of water resources in Zhidan was conducted, in order to guarantee the water demand of the energy chemical industrial park. The optimal allocation of water resources is based on the advanced investigating and analyzing on the potential of four kinds of available water in this industrial park (surface water, underground water, the rain-flood and the recycled water). As well as the principle of optimal allocation is to reduce the conventional water exploitation and to increase the unconventional water resource utilization. The study result shows, the recent total water resources in this park is 12.39×104 m3/d and the forward total water resources is 13.39×104 m3/d, which can meet the requirement of both recent and forward water consumption for this park(4.40×104 m3/d and 5.16×104 m3/d). The optimal allocation of water resources program is to achieve the goal of reaching a recent water supply of 4.5×104 m3/d, among which the underground water is 0.95×104 m3/d, the surface water is 3.0×104 m3/d, the recycled water is 0.5×104 m3/d, the rain-flood water is 0.05×104 m3/d. While for the forward water supply of these 4 available kinds of water are 1.45×104 m3/d, 3.0×104 m3/d, 1.0×104 m3/d, 0.05×104 m3/d respectively with a total supply of 5.5 ×104 m3/d.

scholarly journals A New Multi-Objective Optimization Model of Water Resources Considering Fairness and Water Shortage Risk

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2648
Author(s):  
Xiaoyu Tang ◽  
Ying He ◽  
Peng Qi ◽  
Zehua Chang ◽  
Ming Jiang ◽  
...  
Keyword(s):  
Water Resources ◽  
Optimization Model ◽  
Optimal Allocation ◽  
Risk Index ◽  
Water Shortage ◽  
Economic Benefits ◽  
Selection Strategy ◽  
Multi Objective Optimization ◽  
Structural Water ◽  
Multi Objective

Assessing the fairness of water resource allocation and structural water shortage risks is an urgent problem that needs to be solved for the optimal allocation of water resources. In this study, we established a new multi-objective optimization model of water resources based on structural water shortage risks and fairness. We propose an improved NSGA-III based on the reference point selection strategy (ARNSGA-III) to solve the optimization model. The superiority of this method was proven by comparing it with three other methods, namely, NSGA-III, MOSPO, and MOEA/D. The model was applied to optimize the allocation of water resources in Wusu City in China. The results show that the new multi-objective optimization model provides reasonable and feasible solutions for solving water conflicts. The convergence and stability of ARNSGA-III are better than those of the other three algorithms. Allocation schemes of water resources for Wusu City in normal years, dry years, and extremely dry years are proposed. In normal years, the structural water shortage risk index is reduced by 50.1%, economic benefits increased by 0.2%, and fairness is reduced by 60.5%. This study can provide new ideas for solving the multi-objective optimization of regional water resources.

Research on the Feasibility of Water Diversion Project

2014 ◽  
Vol 580-583 ◽  
pp. 1874-1877
Author(s):  
Li Hua Zhang ◽  
Guang Hui Wang ◽  
Xiao Hui Hao
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Water Shortage ◽  
The Other ◽  
Water Diversion ◽  
Actual Condition ◽  
Other Hand ◽  
Water Diversion Project ◽  
Engineering Measures ◽  
The One

The research on the feasibility of Feicheng Water Diversion from Dawen River Project is based on a thorough investigation in the actual condition of water resources in Feicheng city. It is found that on the one hand this city has been suffering from water shortage, while on the other hand it has allowed most of the water flowing away in vain from Dawen River, which runs through this area. To resolve this contradiction, this research demonstrates the feasibility of networking of Dawen River and Shangzhuanglu Reservoir through engineering measures to realize the optimal allocation of water resources

scholarly journals A linear bi-level multi-objective program for optimal allocation of water resources

PLoS ONE ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. e0192294 ◽  
Author(s):  
Ijaz Ahmad ◽  
Fan Zhang ◽  
Junguo Liu ◽  
Muhammad Naveed Anjum ◽  
Muhammad Zaman ◽  
...  
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Multi Objective ◽  
Objective Program

The Study of Water Resources Optimal Allocation of South-North Project Receiving Area

2013 ◽  
Vol 385-386 ◽  
pp. 420-423
Author(s):  
Bin Liu ◽  
Jin Xia Sha ◽  
Zhi Hong Yan ◽  
Ting Ting Zhang
Keyword(s):  
Water Resources ◽  
Optimal Allocation ◽  
Rapid Development ◽  
Theory Building ◽  
Planning Theory ◽  
Water Resources Planning ◽  
Multi Objective ◽  
Handan City ◽  
Resources Planning ◽  
Water Resources Optimal Allocation

With the rapid development of economy, the shortage of water resources became more serious at the eastern of Handan city, it is important to allocate the limited water resources reasonably. Based on the multi-objective planning theory, building up the model of the optimal allocation water resources. The goal of the model targeted at the maximum benefits of the economy, the society and the environment, which solved by PSO, to acquire the water resources optimal allocation program of different guaranteed rate in 2030, and supply the basis for the water resources planning and management. The results of optimal allocation show that the PSO is feasible in the water resources optimal allocation.

scholarly journals Study on optimal allocation of water resources in Dujiangyan irrigation district of China based on improved genetic algorithm

2020 ◽  
Author(s):  
Ruihuan Li ◽  
Yingli Chang ◽  
Zhaocai Wang
Keyword(s):  
Genetic Algorithm ◽  
Water Resources ◽  
Optimal Allocation ◽  
Water Shortage ◽  
Vertical Dimension ◽  
Allocation Model ◽  
Genetic Operator ◽  
Irrigation Area ◽  
Use Of Resources ◽  
Constraint Model

Abstract In order to distribute water resources reasonably, it is convenient to make full use of resources and produce high economic and social benefits. Taking the Dujiangyan irrigation area of China as an example, we discuss the idea of establishing and solving the optimal allocation model of water resources. Aiming at this area, a two-dimensional constraint model with the highest economic value, the minimum water shortage, the minimum underground water consumption and the necessary living water demand is established. In order to solve this model, we improve the multi-population genetic algorithm, extend the genetic optimization of the algorithm into two dimensions, take the population as the vertical dimension and the individual as the horizontal dimension, and transforms the cross genetic operator to copy the genetic operator and the mutation operator to only act on the vertical dimension, so as to optimize the allocation of such discrete objectives of water resources in the irrigation area with the particular model suitable for the region. The distribution results successfully control the water shortage rate of each area at a low level, which save the exploitation of groundwater to the maximum extent and produce high economic benefits. The improved algorithm proposed in this paper has a kind of strong optimization ability and provides a new solution for the optimization problem with multiple constraints.

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