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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/38405
Title: The STREAMES project: linking heuristic and empirical knowledge into an expert system to assess stream managers
Authors: Comas, J.; Llorens, Esther; Poch, M.; Markakis, G.; Batín, T.; Gafny, S.; Maneux, E.; Martí, Eugènia; Morais, M.; Puig, Mariàngels; Push, M.; Riera, Joan L.; Sabater, Francesc; Solimini, A. G.; Vervier, P.
Keywords: Expert system
Rule-based system
Environmental decision support system
Stream management
River water quality
Issue Date: 2002
Publisher: International Environmental Modelling and Software Society
Citation: Integrated assessment and decision support proceedings of the first biennal meeting of the international environmental modelling and software society: 444-449 (2002)
Abstract: The increase in stream nutrient loads from anthropogenic sources has become a serious problem, especially in developed regions. Humans affect streams by modifying the landscape in ways that increase the transport of nutrients to surface waters, by directly dumping urban or industrial sewage into the stream, or by modifying streams in ways that reduce their ability to respond to increased nutrient loads. In Mediterranean regions these problems are compounded by the scarcity of water. The decision-making processes involved in water quality management require extensive human expertise or extensive computation with large data sets. In this sense, the STREAMES project aims to develop a knowledge-based environmental decision support system (EDSS) to support and advice water managers in the management of human-altered streams. This EDSS will integrate an Expert System (ES), concretely a rule-based reasoning system (RBS), with a Geographical Information System to address spatial information for the appropriate stream management actions, and a numerical model to estimate point and non-point nutrient sources from middle size catchments. The RBS will be developed by integrating heuristic knowledge from experts in surface water management, as well as empirical knowledge from stream scientists, based both on previous studies and on data directly acquired from experimental sampling. This paper will present the objectives of the STREAMES project with emphasis in the knowledge acquisition and development of the RBS.
Description: Contribution presented at iEMSs 2002 Integrated Assessment and Decision Support Conference held in Lugano, Switzerland, on 24-27 June 2002. More details at http://www.iemss.org/iemss2002/.
Publisher version (URL): http://www.iemss.org/iemss2002/proceedings/vol3.html
URI: http://hdl.handle.net/10261/38405
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