Memorias de investigación
Conferencias:
MCDM techniques for the restoration of phosphorous ponds at Huelva estuary (Spain)
Año:2019

Áreas de investigación
  • Investigación operativa,
  • Ciencias de la computación y tecnología informática

Datos
Descripción
Phosphate production in Spain dates from over a century ago. Although Directive 96/29/EC was transposed into Spanish legislation, no radiological controls on effluent monitoring and release, or on waste disposal for that matter, have yet been enforced in Spain. Nevertheless, over the last thirty years, the radiological environmental impact of all phosphate facilities in Spain has drastically decreased as an indirect result of the enforcement of legal instruments on chemical pollution prevention and control set into action. The two mainly phosphoric acid production plants in Spain are located in Huelva (Andalusia) and apply the wet production route through digestion of the phosphate rock by sulphuric acid. In this work we apply MCDM tools for the restoration of the phosphorous ponds of Huelva estuary, taking into account economic, social, environmental and radiological aspects. We consider a multi-attribute utility model that accounts for imprecision concerning the remediation alternative impacts and uncertainty about the DMs preferences by means of a linguistic term scale, ordinal information about the relative importance of criteria and fuzzy and interval values. Different remediation alternatives are analysed, such as the remediation in situ, using the conditioning of the pounds and vegetation cover and other alternatives, the removal of this waste to landfills of conventional waste or its reuse in other applications as material to amend soils, construction, roads?
Internacional
Si
ISSN o ISBN
Entidad relacionada
Association of European Operational Research Societies
Nacionalidad Entidad
Sin nacionalidad
Lugar del congreso
Dublín, Irlanda

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial