|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
An
Integrated Ecological Modelling And Decision
Support Methodology |
|
Authors: |
António Pereira, Pedro Duarte, Luis Paulo Reis |
|
Published in:
|
ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
|
Citation
format: |
Pereira, A., Duarte, P., &
Reis, L. P. (2007). An Integrated Ecological Modelling
And Decision Support Methodology. ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni (pp. 497-502).
European Council for Modeling and Simulation. doi:10.7148/2007-0497. |
|
DOI: |
http://dx.doi.org/10.7148/2007-0497 |
|
Abstract: |
This
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. |
|
Full
text: |
|
