Inteligencia Artificial para el Manejo Óptimo de Recursos Naturales (Aplicación en Agua Subterránea)

Book · January 2011with54 Reads

Edition: 1°, Publisher: Editorial Académica Española, ISBN: 978-3-8454-8319-1
Abstract

Aunque el agua es considerada un recurso renovable, esto no siempre es cierto desde la perspectiva de su aprovechamiento. De hecho la organización mundial de la salud estima que más de 1000 millones de personas en el mundo no tienen suficiente agua potable. Los verdaderos problemas tienen que ver con la alta variabilidad espacio-temporal del recurso, los largos periodos de transito en compartimentos donde no puede ser explotada, la calidad con la que se le encuentra y especialmente su manejo. Usando una combinación de algoritmos genéticos con teoría de juegos resolvimos un problema de manejo óptimo multiobjetivo en el acuífero del Río Duero en Michoacan, México. Mostramos que el surgimiento de la cooperación depende fuertemente de la información que tengan los usuarios del recurso, lo cual será entonces un elemento clave para la implementación de planes de manejo.

  • [Show abstract] [Hide abstract] ABSTRACT: Groundwater is the natural resource most extracted in the world. It supplies 50% of the total potable water requirements, 40% of the industry take, and 20% of agriculture groundwater is a strategic resource for every country. That common‐pool resources are highly susceptible to lead to a tragedy of the commons is a well‐known fact. We claim that a combination of groundwater modeling, optimization, and a game theoretical analysis may in fact avoid the tragedy. A groundwater model in MODFLOW from Zamora aquifer in Mexico was used as input of a basic but instructive, optimization problem: extract the greatest possible volume of water, but at the same time minimizing the drawdown and drawdown velocity. The solutions of the optimization problem were used to construct the payoffs of a hypothetical game among the aquifer users, the resource's administrator, and a resource protector entity. We show that the success of the optimal management program depends heavily on the information that the users have about the resource. Therefore, better decision‐making processes are a consequence of sustainability literacy. Particularly, water literacy could lead to the usage of water considering it as a part of an ecosystem and not only as a natural resource. Additionally, a new non‐classical equation for underground flow was derived, that may be specially important to understand and predict the groundwater flow in highly heterogeneous conditions as in karstic aquifers or fractured media. © 2013 Wiley Periodicals, Inc. Complexity 19: 9–21, 2013
    Full-text · Article · Aug 2013 · Complexity
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