Methodological review of multicriteria optimization techniques: aplications in water resources
| cic.isFulltext | true | es |
| cic.isPeerReviewed | true | es |
| cic.lugarDesarrollo | Instituto de Investigaciones en Ingeniería Industrial | es |
| cic.version | info:eu-repo/semantics/submittedVersion | es |
| dc.date.accessioned | 2017-01-06T13:24:31Z | |
| dc.date.available | 2017-01-06T13:24:31Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/5134 | |
| dc.title | Methodological review of multicriteria optimization techniques: aplications in water resources | en |
| dc.type | Informe técnico | es |
| dcterms.abstract | Multi-criteria decision analysis (MCDA) is an umbrella approach that has been applied to a wide range of natural resource management situations. This report has two purposes. First, it aims to provide an overview of advancedmulticriteriaapproaches, methods and tools. The review seeks to layout the nature of the models, their inherent strengths and limitations. Analysis of their applicability in supporting real-life decision-making processes is provided with relation to requirements imposed by organizationally decentralized and economically specific spatial and temporal frameworks. Models are categorized based on different classification schemes and are reviewed by describing their general characteristics, approaches, and fundamental properties. A necessity of careful structuring of decision problems is discussed regarding planning, staging and control aspects within broader agricultural context, and in water management in particular. A special emphasis is given to the importance of manipulating decision elements by means ofhierarchingand clustering. The review goes beyond traditionalMCDAtechniques; it describes new modelling approaches. The second purpose is to describe newMCDAparadigms aimed at addressing the inherent complexity of managing water ecosystems, particularly with respect to multiple criteria integrated with biophysical models,multistakeholders, and lack of information. Comments about, and critical analysis of, the limitations of traditional models are made to point out the need for, and propose a call to, a new way of thinking aboutMCDAas they are applied to water and natural resources management planning. These new perspectives do not undermine the value of traditional methods; rather they point to a shift in emphasis from methods for problem solving to methods for problem structuring. Literature review show successfully integrations of watershed management optimization models to efficiently screen a broad range of technical, economic, and policy management options within a watershed system framework and select the optimal combination of management strategies and associated water allocations for designing a sustainable watershed management plan at least cost. Papers show applications in watershed management model that integrates both natural and human elements of a watershed system including the management of ground and surface water sources, water treatment and distribution systems, human demands,wastewatertreatment and collection systems, water reuse facilities,nonpotablewater distribution infrastructure, aquifer storage and recharge facilities, storm water, and land use. | en |
| dcterms.creator.author | Udías, Angel | es |
| dcterms.creator.author | Efremov, Roman | es |
| dcterms.creator.author | Cano, Javier | es |
| dcterms.creator.author | Redchuk, Andrés | es |
| dcterms.extent | 44 p. | es |
| dcterms.issued | 2013-03 | |
| dcterms.language | Inglés | es |
| dcterms.license | Attribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0) | es |
| dcterms.subject | Risk Management | en |
| dcterms.subject | Multicriteria Optimization | en |
| dcterms.subject | Water Resources | en |
| dcterms.subject.materia | Ingenierías y Tecnologías | es |
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