Research on multi-objective optimal allocation of regional water resources based on improved sparrow search algorithm

Nowadays, the conflict between the supply and demand of water resources in many regions is becoming increasingly prominent. Scientific allocation of regional water resources has become the key to solving the contradiction. In this study, a regional multi-objective water resources optimization alloca...

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Veröffentlicht in:Journal of hydroinformatics Jg. 25; H. 4; S. 1413 - 1437
Hauptverfasser: Yao, Zhiyuan, Wang, Zhaocai, Cui, Xuefei, Zhao, Haifeng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London IWA Publishing 01.07.2023
Schlagworte:
Algorithms
cauchy–gauss mutation
Decision making
Economic development
elite chaos reverse learning
Freshwater resources
Groundwater
Linear programming
lévy flight
Mathematical models
multi-objective
Multiple objective analysis
Optimization
Optimization algorithms
Optimization techniques
R&D
Research & development
Resource allocation
Search algorithms
Simulation
sparrow search algorithm
Supply & demand
Surface water
Water management
Water quality
water resource allocation
Water resources
Water resources management
Water shortages
Water supply
China
Henan China
ISSN:1464-7141, 1465-1734
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Abstract Nowadays, the conflict between the supply and demand of water resources in many regions is becoming increasingly prominent. Scientific allocation of regional water resources has become the key to solving the contradiction. In this study, a regional multi-objective water resources optimization allocation model considering social, economic, and ecological objectives is established, and four improvement spots are introduced to the sparrow search algorithm (SSA) to form an improved sparrow search algorithm (ISSA). By testing nine benchmark functions including monotonic and multi-peaked, the search efficiency and average convergence results of ISSA are significantly enhanced compared with other intelligent algorithms. Meanwhile, this research uses Luanchuan County, Henan Province, China, as an example to solve the water resource allocation scheme for 2025 and 2030 in the region using ISSA. The results show that the overall water shortage rate decreases to 3.49 and 2.79%, respectively, under the 75% guarantee rate, resulting in an effective reduction in future water shortages. Simultaneously, the scheme proposed has sound comprehensive benefits and can provide important technical support for the refined management of water resources, which is a reference and guidance for solving the contradiction between water supply and demand at the current stage.
AbstractList Nowadays, the conflict between the supply and demand of water resources in many regions is becoming increasingly prominent. Scientific allocation of regional water resources has become the key to solving the contradiction. In this study, a regional multi-objective water resources optimization allocation model considering social, economic, and ecological objectives is established, and four improvement spots are introduced to the sparrow search algorithm (SSA) to form an improved sparrow search algorithm (ISSA). By testing nine benchmark functions including monotonic and multi-peaked, the search efficiency and average convergence results of ISSA are significantly enhanced compared with other intelligent algorithms. Meanwhile, this research uses Luanchuan County, Henan Province, China, as an example to solve the water resource allocation scheme for 2025 and 2030 in the region using ISSA. The results show that the overall water shortage rate decreases to 3.49 and 2.79%, respectively, under the 75% guarantee rate, resulting in an effective reduction in future water shortages. Simultaneously, the scheme proposed has sound comprehensive benefits and can provide important technical support for the refined management of water resources, which is a reference and guidance for solving the contradiction between water supply and demand at the current stage.
Nowadays, the conflict between the supply and demand of water resources in many regions is becoming increasingly prominent. Scientific allocation of regional water resources has become the key to solving the contradiction. In this study, a regional multi-objective water resources optimization allocation model considering social, economic, and ecological objectives is established, and four improvement spots are introduced to the sparrow search algorithm (SSA) to form an improved sparrow search algorithm (ISSA). By testing nine benchmark functions including monotonic and multi-peaked, the search efficiency and average convergence results of ISSA are significantly enhanced compared with other intelligent algorithms. Meanwhile, this research uses Luanchuan County, Henan Province, China, as an example to solve the water resource allocation scheme for 2025 and 2030 in the region using ISSA. The results show that the overall water shortage rate decreases to 3.49 and 2.79%, respectively, under the 75% guarantee rate, resulting in an effective reduction in future water shortages. Simultaneously, the scheme proposed has sound comprehensive benefits and can provide important technical support for the refined management of water resources, which is a reference and guidance for solving the contradiction between water supply and demand at the current stage. HIGHLIGHTS A multi-objective water resources allocation model that takes into social, economic, and ecological is proposed.; Four improvement spots are introduced to the benchmark sparrow search algorithm.; The improved sparrow optimization algorithm has better convergence efficiency and fitness values.; The proposed optimization scheme has superior comprehensive benefits and reduces the water shortage rate.;
Author Zhao, Haifeng
Wang, Zhaocai
Yao, Zhiyuan
Cui, Xuefei
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Snippet Nowadays, the conflict between the supply and demand of water resources in many regions is becoming increasingly prominent. Scientific allocation of regional...
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StartPage 1413
SubjectTerms Algorithms
cauchy–gauss mutation
Decision making
Economic development
elite chaos reverse learning
Freshwater resources
Groundwater
Linear programming
lévy flight
Mathematical models
multi-objective
Multiple objective analysis
Optimization
Optimization algorithms
Optimization techniques
R&D
Research & development
Resource allocation
Search algorithms
Simulation
sparrow search algorithm
Supply & demand
Surface water
Water management
Water quality
water resource allocation
Water resources
Water resources management
Water shortages
Water supply
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Title Research on multi-objective optimal allocation of regional water resources based on improved sparrow search algorithm
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