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Spatio-temporal multi-objective optimization of agricultural best management practices

  • 15 February, 2016
  • IHE Delft, Hydroinformatics and Socio-Technical Innovation
  • Prof.dr.D.P. Solomatine
  • Dr. G.A. Corzo Perez

The objective of this research is to develop a spatio-temporal multi-objective optimization model-based to select and allocate agricultural BMPs for run-off pollution control at watershed scale. To achieve the research objectives, spatio-temporal patterns of run-off pollution in traditional agricultural management practices will be assessed by using hydrological modelling (SWAT system is most probable candidate for that). Also, several candidates of metaheuristic algorithms like AMGA and NSGA-II will be tested in solving the research problem. Additionally multi-criteria analysis will be performed in order to provide guidelines to decision-makers and stakeholders that aim to use these methods in agricultural optimization problems. Even though the research uses the Fuquene Basin in Colombia as a main case study, the goal is to develop general methodologies that are applicable to similar watersheds.

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Researcher

Natalia Uribe Rivera

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