An agent-based-nash modeling framework for sustainable groundwater management: A case study

Farhadi, Saber; Nikoo, Mohammad Reza; Rakhshandehroo, Gholamreza; Akhbari, Masih; Alizadeh, Mohammad Reza

doi:10.1016/j.agwat.2016.08.018

Cited by 79 publications

(35 citation statements)

References 23 publications

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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%

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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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Section: The Subordinates Modelmentioning

confidence: 99%

“…By using the Nash bargaining model, the bargaining process can be simulated among the agents. A compromise among the conflicting objectives could be found, in which agents have considered their own benefits and know that they can get more benefits in the coalition on the whole [17,18].…”

Section: The Subordinates Modelmentioning

confidence: 99%

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

Han

Tan

et al. 2018

Water

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“…Existem alguns trabalhos que utilizam os modelos baseados em agentes na área da gestão de recursos hídricos, para explorar mecanismos de avaliação de performance dos sistemas hídricos (SCHLÜTER; PAHL-WOSTL, 2007), entender melhor a complexidade dos usos da água e dos usuários da água em sub-bacias (BERGER et al, 2006), representar a dinâmica do uso da água para irrigação e o efeito que tem sobre a distribuição espacial e temporal dos recursos hídricos (VAN OEL et al, 2010), avaliação de estratégias alternativas de operação de reservatórios na distribuição do uso da água (VAN OEL; KROL; HOEKSTRA, 2012); avaliação das consequências do comportamento dos agricultores na qualidade da água (NG et al, 2011;MAZZEGA et al, 2014), integração de ferramentas para análises da gestão integrada da água (NIKOLIC; SIMONOVIC; MILICEVIC, 2013); uso e manejo da água GRIGG, 2013GRIGG, , 2014GRIGG, , 2015HOLTZ;PAHL-WOSTL, 2012;BELAQZIZ et al, 2013;FARHADI et al, 2016) governança e política de uso da água (WISE;CROOKS, 2012;GIULIANI;CASTELLETTI, 2013;MULLIGAN, et al, 2014;CASTILLA-RHO et al, 2015;LECLERT;NZIOKI;FEUERSTEIN, 2016;HAN et al, 2017), dentre outros.…”

Section: Aplicações De Modelos Baseados Em Agentes Para Gestão De Sisunclassified

Contribuições de Modelos Baseados em Agentes (MBA) para gestão de sistemas hídricos urbanos

Alves¹,

Herrera²

2018

REGA

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The usual Emergency Plans for urban water resources shortage consider the use of decision support systems based on mathematical models that represent the hydrologic response of the system for different precipitation regimes and land use changes. The resulting water availability in these models has considered the urban water demand as an external variable (input) not sensitive to the level of cooperation of the water consumers in reducing their levels of consumption. This work presents the bases, applications and perspectives of the use of Agent Based Models (ABM) in urban water resources system management. It presents the conceptualization of a ABM applied to the urban water management of Brazlandia, in the Federal District of Brazil. The model uses reactive agents to represent households and their behavior and decisions were designed using the methodology PAGE (Perceptions, Actions, Goals, Environmental). The agents were classified as low, medium and high income. The environment was represented by raining and dry seasons. The conceptual model was implemented and parameterized based on field investigations and interviews in selected urban areas of Brazlandia. The application of the ABM showed some possibilities of urban water management improvements when considering the cooperation and behavior of water users in simulation models.

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“…This model takes into account demographic, social, ecological factors according to data about usage of alternative energy sources. Paper [9] discusses the hybrid agent-oriented model that makes it possible to evaluate the population demands for water, paper [10] focuses on sustainable groundwater management.…”

Section: Figure 2 the Scheme Of Interaction Between Agents And Envirmentioning

confidence: 99%

Evaluation of development prospects of renewable energy: agent based modelling

Клевакина

Забелина

Murtazina

2017

J. Phys.: Conf. Ser.

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Abstract. The paper describes the agent-based model usage to evaluate the dynamics and the perspectives of alternative energy adopting in the Eastern regions of Russia. It includes a brief review of the agent-based models that can be used for estimation of alternatives in the process of transition to "green" economics. The authors show that active usage of solar energy in Russia is possible at the rural household level, when the climate conditions are appropriate. Adoption of solar energy sources decreases the energy production based on the conventional sources and improves the quality of environment in the regions. A complex regional multiagent model is considered in this paper. The model consists of several private models and uses GIS technologies. These private models are a demographic and migration model of the region and a diffusion of the innovations model. In these models, agents are humans who live within the boundaries of the agents-municipalities, and agents as well are large-scale producers of electricity that pollutes the environment. Such a structure allows us to determine the changes in the demand for electricity generated by traditional sources. A simulation software will assist to identify the opportunities for implementation of alternative energy sources in the Eastern regions of Russia.

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An agent-based-nash modeling framework for sustainable groundwater management: A case study

Cited by 79 publications

References 23 publications

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

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

Contribuições de Modelos Baseados em Agentes (MBA) para gestão de sistemas hídricos urbanos

Evaluation of development prospects of renewable energy: agent based modelling

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