Optimization Operation of Water Resources Using Game Theory and Marine Predator Algorithm

Today, one of the most important issues in the field of common water resources management is the allocation of water resources to different stakeholders with different interests. Game theory and conflict resolution methods, taking into account the interests and strategies of the players, provide eff...

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Vydáno v:Water resources management Ročník 38; číslo 2; s. 665 - 699
Hlavní autoři: Far, Shirin Moradi, Ashofteh, Parisa-Sadat
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.01.2024
Springer Nature B.V
Témata:
Algorithms
Atmospheric Sciences
Bankruptcy
Civil Engineering
Climate change
conflict management
Earth and Environmental Science
Earth Sciences
Environment
Game theory
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology/Water Resources
Performance indices
Predators
Reliability
Reservoir operation
Resilience
Resource allocation
stakeholders
Theories
Vulnerability
water
Water resources
Water resources management
Optimization of Reservoir
Bankruptcy Theory
Marine Predators Algorithm
Bargaining
Nash Conflict Resolution Model
Efficiency Index
ISSN:0920-4741, 1573-1650
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Shrnutí:Today, one of the most important issues in the field of common water resources management is the allocation of water resources to different stakeholders with different interests. Game theory and conflict resolution methods, taking into account the interests and strategies of the players, provide efficient methods for allocating reservoirs water resources to stakeholders. In this research, for the first time, a wide range of different methods of game theory are used in order to allocate the water resources of Idoghmosh Dam reservoir (East Azarbaijan—Iran) to the agricultural and environmental stakeholders in the downstream. For this purpose, the NASH and four methods of bankruptcy theory, including PRO, AP, CEA, and CEL are used in this research. Also, in this research, the dam component is considered as a player. In the presented model for the optimal allocation of water to consumers, for the first time, the combination of game theory and the MPA as main innovation of this study is used, and the results obtained from it are compared with the GA. The proposed model is used in the base period (1987–2000) and the 14-year climate change period (2026–2039). In the following, for the first time, a wide range of different efficiency indexes of reliability, resiliency, vulnerability, flexibility, availability, supply to demand, volume reliability and SSD are used to analyze the reservoir operation policies. The results show that for each agricultural and environmental player in different base and future periods, the performance of different game theory methods on different indexes has been different. For example, the results for the agricultural player in the future period show that MPA with PRO method and then AP provided the best results for the indexes of vulnerability, resiliency, reliability, SSD , and supply to demand, that the similar values provided using GA and other bankruptcy methods have assigned lower values than MPA.
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ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-023-03692-w