• S4: Intelligent Environmental Decision Support Systems

    Page: Main.S4 - Last Modified : Sun, 29 Jun 08

    Organisers

    Miquel Sànchez-Marrè, KEMLG, Technical University of Catalonia, Catalonia (contact: miquel@lsi.upc.edu)
    Joaquim Comas, Laboratory of Chemical and Environmental Engineering, University of Girona, Catalonia
    Ignasi Rodríguez-Roda, Laboratory of Chemical and Environmental Engineering, University of Girona, Catalonia
    Karina Gibert, KEMLG, Technical University of Catalonia, Catalonia
    Rick Sojda, NRMSC, US Dept. of the Interior - Geological Survey/Ecology Dept., Montana State University, USA
    Peter Struss, Computer Science Department, Technical University of Munich, Germany
    Jean Philippe Steyer, PEACE group, Environmental Biotechnology Laboratory - INRA, France
    Virgínia Brilhante, Computing Science Department, Federal University of Amazonas – UFAM, Manaus, Brazil

    Topics

    • Methodologies and frameworks for the development of IEDSSs
    • Integration of AI and Statistical/Mathematical models in IEDSSs
    • Model recomendation in IEDSSs
    • Benchmarking and validation of IEDSSs.

    Description

    The session will focus a discussion platform for Artificial Intelligence (AI) and Environmental researchers involved in the development of applications in the Intelligent Environmental Decision Support Systems (IEDSS) area. Nowadays, AI techniques such as rule-based reasoning, fuzzy models, case-based reasoning, qualitative reasoning, artificial neural networks, genetic algorithms and programming, model-based reasoning, bayesian networks, multiagent systems, etc., enable the construction of reliable and real applications. IEDSS are present in the environmental management process at different levels such as hazard identification, risk assessment, risk evaluation and intervention decision-making, but there is neither well defined methodology or framework for the development of IEDSSs nor for Model integration nor for Model recomendatiom techniques nor for Benchmarking and validation of IEDSSs. These are the open challenges to be addressed by the session papers.

    Session participants may come from all environmental science and AI fields.


    Schedule

    Tuesday 8
    Time Title Authors Place
    9:30 - 9:50 'An approach to formal modeling of environmental knowledge via concept maps and ontologies' A. Simón-Cuevas, L. Ceccaroni and A. Rosete-Suárez A6103
    9:50 - 10:10 'Managing Insular Tropical Environment through Data and Knowledge Bases by using Web Services: a case study on Corals and Herbarium of La Réunion Island' N. Conruyt, D. Sebastien, D. Payet, Y. Geynet, D. Caron, and D. Grosser A6103
    10:10 - 10:30 'An Intelligent Decision Support System for Environmental Impact Assessment of Industrial Projects' S. Aly and I. Vrana A6103
    10:30 - 10:50 'Intelligent Environmental Decision Support System for integrated operation of Membrane Bioreactors' I. Rodríguez-Roda, J. Comas, H. Monclús, J. Sipma and M Poch A6103
    11:20 - 11:40 'A new definition of Minimum Sustainable Flow based on water quality modelling and fuzzy processing' S. Marsili-Libelli, A. Nocita, E. Giusti and M. Saccà A6103
    11:40 - 12:00 'Improving process performance in wastewater treatment plants using an intelligent environmental decision support system' L. Corominas, J. Denamur, X. Flores-Alsina and J. Comas A6103
    12:00 - 12:20 'Genetic algorithm based technique for defining threshold regression models' J.C.M. Pires, F.G. Martins, M.C.M. Alvim-Ferraz and M.C. Pereira A6103
    12:20 - 12:40 'Optimum Water Allocation at Basin Scale Using Meta-Modeling' M. Shourian and S. Jamshid Mousavi A6103
    12:40 - 13:00 'Machine Learning Algorithms for GeoSpatial Data. Applications and Software Tools' M. Kanevski, A. Pozdnoukhov and V. Timonin A6103
    15:00 - 15:20 'Semi-Supervised Support Vector Machine for Natural Hazards Forecasting. Case Study: Snow Avalanches' A. Pozdnoukhov, R. S. Purves and M. Kanevski A6103
    15:20 - 15:40 'Using Artificial Neural Networks to Predict Local Disease Risk Indicators with Multi-Scale Weather, Land and Crop Data' A. Pechenick and D.M. Rizzo A6103
    15:40 - 16:00 'Incorporating Likelihood information into Multi-objective Calibration of Conceptual Rainfall-Runoff Models' A. Azemi, A. H. C. Chan and X. Yao A6103
    16:00 - 16:20 'Environmental data inference through fuzzy clustering' S. Marsili-Libelli and E. Giusti A6103
    16:40 - 17:00 'Bayesian Challenges in Integrated Catchment Modelling' V. Kumar, A. Holzkaemper, B. Surridge, P.I. Rockett, M. Niranjan and D. N. Lerner A6103
    17:00 - 17:20 'Developing Bayesian network models within a Risk Assessment framework' C. A. Pollino and B. T. Hart A6103
    17:20 - 17:40 'Spatially Distributed Identification of Debris Flow Source Areas by Credal Networks' A. Salvetti, A. Antonucci, and M. Zaffalon A6103
    17:40 - 18:00 'Learning conditional probabilities in event bushes with temporal labels' S. I. Nikolenko, C. A. Pshenichny , R. Carniel A6103
    Wednesday 9
    9:30 - 9:50 'Towards A Framework for the Development of Intelligent Environmental Decision Support Systems' M. Sànchez-Marrè, J. Comas, I. Rodríguez-Roda, M. Poch and U. Cortés A6103