Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/352
Full metadata record
DC FieldValueLanguage
dc.creatorAntónio Pereira
dc.creatorPedro Duarte
dc.creatorLuís Paulo Reis
dc.date.accessioned2022-09-11T00:36:15Z-
dc.date.available2022-09-11T00:36:15Z-
dc.date.issued2007
dc.identifier.othersigarra:56304
dc.identifier.urihttps://hdl.handle.net/10216/352-
dc.descriptionThis work presents a methodology for modelling and simulating aquatic ecological systems and an associated methodology and software for creating Decision Support Systems (DSS) for this kind of environment. Both are based on object oriented programming (OOP) and, in the case of the DSS, on Autonomous Intelligent Agents. The modelling software (EcoDynamo) includes several object dynamic link libraries to simulate different physical and biogeochemical ecosystem processes. These libraries were designed to be possible their linkage with different model shells, for the sake of portability and usability. A high level communication language (ECOLANG) was developed to allow the communication between EcoDynamo and the agents. The DSS uses one methodology of discrete multi-criteria, where given a users preference structure (elicited with the Analytic Hierarchy Process methodology - AHP), a priority ranking of the pre-processed scenarios is achieved. To validate the approach, EcoDynamo was used with the DSS to simulate different management scenarios in a coastal lagoon at the South of Portugal - Ria Formosa. The experiments performed showed that these tools may be widely used by people involved in the management of coastal areas to integrate environmental, economic and social issues in the decision process, without an in-depth knowledge of modelling methodologies.
dc.description.abstractThis work presents a methodology for modelling and simulating aquatic ecological systems and an associated methodology and software for creating Decision Support Systems (DSS) for this kind of environment. Both are based on object oriented programming (OOP) and, in the case of the DSS, on Autonomous Intelligent Agents. The modelling software (EcoDynamo) includes several object dynamic link libraries to simulate different physical and biogeochemical ecosystem processes. These libraries were designed to be possible their linkage with different model shells, for the sake of portability and usability. A high level communication language (ECOLANG) was developed to allow the communication between EcoDynamo and the agents. The DSS uses one methodology of discrete multi-criteria, where given a users preference structure (elicited with the Analytic Hierarchy Process methodology - AHP), a priority ranking of the preprocessed scenarios is achieved. To validate the approach, EcoDynamo was used with the DSS to simulate different management scenarios in a coastal lagoon at the South of Portugal - Ria Formosa. The experiments performed showed that these tools may be widely used by people involved in the management of coastal areas to integrate environmental, economic and social issues in the decision process, without an in-depth knowledge of modelling methodologies.
dc.language.isoeng
dc.relation.ispartof21ST EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2007: SIMULATIONS IN UNITED EUROPE
dc.rightsrestrictedAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectGestão das zonas costeiras, Engenharia de computadores, Ciências da computação e da informação
dc.subjectCoastal zone management, Computer engineering, Computer and information sciences
dc.titleAn integrated ecological modelling and decision support methodology
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.authenticusP-004-F94
dc.subject.fosCiências exactas e naturais::Ciências da computação e da informação
dc.subject.fosNatural sciences::Computer and information sciences
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

Files in This Item:
File Description SizeFormat 
56304.pdf
  Restricted Access
365.94 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons