NDLI: Developing Evolutionary Stable Strategies for Groundwater Resources Exploitation: Application of Game Theory

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Developing Evolutionary Stable Strategies for Groundwater Resources Exploitation: Application of Game Theory

Content Provider	Semantic Scholar
Author	Moghaddam, Parna Parsapour Kerachian, Reza Abed-Elmdoust, Armaghan
Copyright Year	2012
Abstract	In this paper, an evolutionary game theoretic approach is designed to determine evolutionary optimal groundwater exploitation strategies of farmers considering the land subsidence and water table decline standards in an aquifer system. In the proposed methodology, the concept of prisoner's dilemma game is utilized to describe bargaining process between farmers and environmental protection agency. An optimization model based on genetic algorithm is also developed that yields the evolutionary optimal groundwater exploitation policies of farmers considering the main characteristics of groundwater basin and farmers and the standard thresholds defined by the environmental protection agency. To illustrate the practical utility of the proposed model, it is applied to a hypothetical case study of exploiting groundwater resources by farmers for irrigation their pistachio orchards. similar stuff in N countries by a dynamic game model. The Markov perfect equilibrium (MPE) was determined in this game considering three different cost scenarios (3). Results of this research illustrated that the MPEs were non-cooperative solutions of the game. Huang et al. (2009) presented a two-person game for conflict resolution between water users. They utilized a reward-punishment mechanism to model water resources use conflict (4). In this paper, a new methodology, based on evolutionary game theory, is presented for groundwater management that determines evolutionary optimal strategies for groundwater exploitation. The efficiency of this methodology is illustrated by applying it to a hypothetical case study of exploiting groundwater resources by farmers for irrigating their pistachio orchards.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://psrcentre.org/images/extraimages/29.%200112315.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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