Socially-Optimal and Nash Pareto-Based Alternatives for Water Allocation under Uncertainty: an Approach and Application

Nafarzadegan, Ali Reza; Vagharfard, Hassan; Nikoo, Mohammad Reza; Nohegar, Ahmad

doi:10.1007/s11269-018-1969-6

Cited by 18 publications

(8 citation statements)

References 28 publications

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“…Safashahr and Mohammadabad were the most isolated and differentiated populations likely due the presence of artificial barriers, flow regulation, and reduction. The Doroodzan Reservoir (990 hm 3 ) feeds the Doroodzan and the Korbal irrigation system with a potential irrigated area of 1,120 km 2 (Nafarzadegan, Vagharfard, Nikoo, & Nohegar, ). The development of the irrigation system in the Korbal Plain and river flow regulation has undergone a large reduction in lake area (i.e., Bakhtegan and Tashk), and most of the wetlands have completely dried out, thus preventing the connection between the springs surrounding the lakes during heavy rain periods and flood events (Gholami et al, ; Nadji, ; Sheykhi & Moore, ).…”

Section: Discussionmentioning

confidence: 99%

Diversity and structure of fragmented populations of a threatened endemic cyprinodontid (Aphanius sophiae) inferred from genetics and otolith morphology: Implications for conservation and management

Alcaraz¹,

Gholami

2019

J Zool Syst Evol Res

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The assessment of population structure and genetic diversity is crucial for the management and conservation of threatened species. Natural and artificial barriers to dispersal (i.e., gene flow) increase populations' differentiation and isolation by reducing genetic exchange and diversity. Freshwater ecosystems are highly fragmented because of human activities. Threatened species with small population sizes are more sensitive to habitat fragmentation effects. Here, we investigate the genetic population structure and gene flow among seven populations of Aphanius sophiae in the Kor Basin by using sequences of the complete Cyt b gene and otolith morphometry. The Cyt b gene showed low level of genetic variation, only 4.12% of the identified sites were variable, and 2.42% were parsimony informative. Overall, haplotype diversity was low to moderate and nucleotide diversity was low to extremely low. Fish populations exhibited high levels of genetic differentiation, suggesting limited gene flow among them. These differences were obtained not only among geographically distant populations, but also among neighboring localities. Genetic population structure was supported by the AMOVA analysis and by the haplotype network (only one of 21 haplotypes were shared by two localities). Otolith morphometric analysis was in agreement with genetic results, the two most distant and isolated populations were clearly separated, and genetically close populations showed less differences in morphometry. A significant pattern of isolation by distance was also detected among A. sophiae populations, with genetic distance more correlated with hydrological distance than with geographic distance. Results suggested that limited gene flow due to habitat fragmentation is an important factor contributing to genetic structuring and to the loss of genetic variation of A. sophiae populations. Aphanius sophiae population structure seems to be the result of habitat fragmentation and water pollution, but other factors such as introduced species should be considered. Given the high degree of genetic structuring, the definition of conservation groups is of particular importance for A. sophiae, which should be considered endangered according to the IUCN K E Y W O R D S

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Section: Discussionmentioning

confidence: 99%

Diversity and structure of fragmented populations of a threatened endemic cyprinodontid (Aphanius sophiae) inferred from genetics and otolith morphology: Implications for conservation and management

Alcaraz¹,

Gholami

2019

J Zool Syst Evol Res

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“…The objective function of the lower multi-agent cooperative game-based optimization model [7] of water resource allocation, based on the Nash bargaining model [8,16,17], is obtained as follows:…”

Section: The Subordinates Modelmentioning

confidence: 99%

“…In Equation 8, N zi represents the benefit of each agent in the non-cooperative mode. The optimization model of individual interests covers objective function (8) and constraints (2)-(4). When the benefit of the most upstream agent with first-mover advantage reaches the maximum N zi = 1 in the non-cooperative mode, N zi = B u zi will facilitate cooperation.…”

Section: The Subordinates Modelmentioning

confidence: 99%

“…To enhance the effectiveness and benefits of water resource allocation schemes, a large group of scholars have suggested the use of optimization models. Optimization techniques, such as linear programming, mixed-integer linear programing, dynamic programming, evolutionary computation, artificial neural networks, and so on [5][6][7][8], have been trying to find the optimal schemes of water resource allocation. However, these conventional optimization methods usually convert the multi-decision-maker problems of the whole system into a single-decision-maker problem, with a single composite objective [5].…”

Section: Introductionmentioning

confidence: 99%

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Water Resource Optimal Allocation Based on Multi-Agent Game Theory of HanJiang River Basin

Han

Tan

et al. 2018

Water

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Water scarcity is an important issue in many countries, and it is therefore necessary to improve the efficiency and equality of water resource allocation for decision makers. Based on game theory (GT), a bi-level optimization model is developed from the perspective of a leader-follower relationship among agents (stakeholders) of a river basin in this study, which consists of a single-agent GT-based optimization model of common interest and a multi-agent cooperative GT-based model. The Hanjiang River Basin is chosen as a case study, where there are conflicts among different interest agents in this basin. The results show that the proposed bi-level model could attain the same improvement of common interest by 8%, with the conventional optimal model. However, different from the conventional optimal model, since the individual interests have been considered in the bi-level optimization model, the willingness of cooperation of individuals has risen from 20% to 80%. With a slight decrease by 3% of only one agent, the increases of interest of other agents are 14%, 18%, 7%, and 14%, respectively, when using the bi-level optimization model. The conclusion could be drawn that the proposed model is superior to the conventional optimal model. Moreover, this study provides scientific support for the large spatial scale water resource allocation model.

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“…Water allocation schemes based on optimization models have been suggested as good techniques to increase the efficiency and benefits of shared water resources [8]. Therefore, previous studies applied linear programming, mixed-integer linear programming, dynamic programming, evolutionary computation, and artificial neural networks to attain efficient allocation of disputed water capital [9][10][11][12]. These methods target maximizing the group utility based on the assumption of perfect cooperation, which is not always guaranteed in transboundary water sharing, where each riparian state's interest matters [13].…”

mentioning

confidence: 99%

Allocating Water in the Mekong River Basin during the Dry Season

Yuan

Liao

et al. 2019

Water

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With population numbers increasing and anthropogenic climate change, the amount of available fresh water is declining. This scenario can lead to an increase in the occurrence of water conflicts, especially in transboundary river basins. Prevention strategies to avert water conflicts by designing a fair, efficient, and sustainable water allocation framework are needed. Taking into account the socioeconomic and environmental differences among the riparian countries is one of the most important features an allocation scheme should have. In this article, bankruptcy and bargaining games were used to construct a new weighted water allocation model. The proposed method was applied to allocate the contested water capital of the Mekong River during the dry season. The Mekong River originates in China and flows through Myanmar, Laos, Thailand, Cambodia, and Vietnam. The results of the allocation showed that, except for China and Vietnam, all the other riparian countries get their full claim of the water demand from the river. The water allocation payoffs satisfy individual rationality, Pareto optimality, and maximization of the group utility. Therefore, the allocation outputs from the proposed scheme are self-enforceable and sustainable.

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Socially-Optimal and Nash Pareto-Based Alternatives for Water Allocation under Uncertainty: an Approach and Application

Cited by 18 publications

References 28 publications

Diversity and structure of fragmented populations of a threatened endemic cyprinodontid (Aphanius sophiae) inferred from genetics and otolith morphology: Implications for conservation and management

Diversity and structure of fragmented populations of a threatened endemic cyprinodontid (Aphanius sophiae) inferred from genetics and otolith morphology: Implications for conservation and management

Water Resource Optimal Allocation Based on Multi-Agent Game Theory of HanJiang River Basin

Allocating Water in the Mekong River Basin during the Dry Season

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