Multi-Agent System for Groundwater Depletion Using Game Theory
Ying Huang, Pavel Janovsky, Sanjoy Das, Stephen M. Welch, Scott, DeLoach

TL;DR
This paper models groundwater depletion among irrigators using a multi-agent system and game theory, revealing emergent crop rotation strategies and the potential benefits of local groundwater management areas.
Contribution
It introduces a multi-agent game-theoretic model of groundwater use that incorporates crop choices, flow dynamics, and regional management policies, providing new insights into sustainable practices.
Findings
Crop rotation emerges as a groundwater conservation strategy.
Groundwater management areas (LEMAs) slightly increase overall utility.
Nash equilibrium leads to unsustainable groundwater depletion.
Abstract
Groundwater is one of the most vital of all common pool resources throughout the world. More than half of groundwater is used to grow crops. This research models groundwater depletion patterns within a multi-agent system framework. Irrigators are modeled as agents in the multi-agent system. The irrigation strategies adopted by the agents are investigated using game theory. A set of five irrigators, growing three crops: corn, sorghum and wheat, have been considered in this study. To allow groundwater flow, these agents are assumed to be located in adjoining farm lands. Irrigators are modeled selfish agents that strategize their irrigation patterns in order to maximize their own utilities, i.e. the difference between the total revenue obtained from crop sales and the costs incurred, including groundwater extraction costs. Due to groundwater flow, and have no incentive to conserve…
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Taxonomy
TopicsWater resources management and optimization · Groundwater flow and contamination studies · Hydrology and Watershed Management Studies
