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Combined use of GIS and mixed-integer linear programming for identifying optimal agricultural areas for sewage sludge amendment: A case study of Catalonia

Authors
Journal
Environmental Modelling & Software
1364-8152
Publisher
Elsevier
Volume
46
Identifiers
DOI: 10.1016/j.envsoft.2013.03.007
Keywords
  • Gis
  • Milp
  • Mcda
  • Environmental Management
  • Decision Making
  • Land Classification
Disciplines
  • Computer Science
  • Ecology
  • Economics
  • Geography

Abstract

Abstract This work proposes a systematic decision-making tool for identifying the best geographical areas for sewage sludge (SS) amendment in terms of economic and environmental criteria. Our approach integrates GIS and multi-objective mixed-integer linear programming (MILP) within a unified framework that allows exploring in a rigorous and systematic manner a large number of alternatives for sewage sludge amendment from which the best ones (according to the decision-makers' preferences) are finally identified. The capabilities of our methodology are illustrated through its application to a case study based on Catalonia (NE of Spain). The tool presented provides as output a set of optimal alternatives for sewage sludge distribution, each one achieving a unique combination of economic and environmental performance. Our ultimate goal is to guide decision-makers toward the adoption of more sustainable patterns for sewage sludge amendment.

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