Solution Approaches for the Management of the Water Resources in Irrigation Water Systems with Fuzzy Costs

[EN] Currently, the management of water networks is key to increase their sustainability. This fact implies that water managers have to develop tools that ease the decision-making process in order to improve the efficiency of irrigation networks, as well as their exploitation costs. The present rese...

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Bibliographic Details
Authors: Sanchis, R.|||0000-0002-5495-3339, Díaz-Madroñero Boluda, Francisco Manuel|||0000-0003-1693-2876, López Jiménez, Petra Amparo|||0000-0002-7043-3683, Pérez-Sánchez, Modesto|||0000-0001-8316-7778
Format: article
Publication Date:2019
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/144092
Online Access:https://riunet.upv.es/handle/10251/144092
Access Level:Open access
Keyword:Sustainability
Fuzzy techniques
Water management
INGENIERIA HIDRAULICA
ORGANIZACION DE EMPRESAS
02.- Poner fin al hambre, conseguir la seguridad alimentaria y una mejor nutrición, y promover la agricultura sostenible
13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos
Description
Summary:[EN] Currently, the management of water networks is key to increase their sustainability. This fact implies that water managers have to develop tools that ease the decision-making process in order to improve the efficiency of irrigation networks, as well as their exploitation costs. The present research proposes a mathematical programming model to optimize the selection of the water sources and the volume over time in water networks, minimizing the operation costs as a function of the water demand and the reservoir capacity. The model, which is based on fuzzy methods, improves the evaluation performed by water managers when they have to decide about the acquisition of the water resources under uncertain costs. Different fuzzy solution approaches have been applied and assessed in terms of model complexity and computational efficiency, showing the solution accomplished for each one. A comparison between different methods was applied in a real water network, reaching a 20% total cost reduction for the best solution.