DSpace

Digital.CSIC > Recursos Naturales > Centro de Estudios Avanzados de Blanes (CEAB) > (CEAB) Artículos >

Share

EndNote

Links

Closed Access item Knowledge acquisition in the STREAMES Project: the key process in the Environmental Decision Support System development

Authors:Comas, J.
Llorens, Esther
Martí, Eugènia
Puig, Mariàngels
Riera, Joan L.
Sabater, Francesc
Poch, M.
Keywords:Decision support system, Knowledge-based, Stream management, Knowledge acquisition, Knowledge management, River water quality
Issue Date:Dec-2003
Publisher:IOS Press (Amsterdam)
Citation:AI Communications 16(4) : 253-265 (2003)
Abstract:Nowadays, bad river water quality has become a serious problem, especially in developed regions, due to the high nutrient loads from anthropogenic sources dumped into the rivers. Pollution sources can have different origins: point or non-point sources. As point sources can be well identified, these can be controlled, but the identification and control of non-point sources is not an easy task. Moreover, the natural responses of polluted streams in front of these external aggressions are still quite unknown. The decision-making processes involved in stream reach management require extensive human expertise (from water managers), empirical knowledge from scientific research and elaborated calculation over large amounts of numerical and symbolic data. In this sense, the STREAMES project appears as an attempt to develop and implement a knowledge-based decision support system to help water managers in taking decisions. The knowledge acquisition process is the most important step to build a complete knowledge base. After acquiring the knowledge, the efforts will concentrate on structuring and representing the knowledge in a decision tree fashion as a previous step to build the knowledge base. Each decision tree developed refers to a specific river problem: eutrophication, excess of ammonia, organic matter pollution … This paper presents the STREAMES project, with major emphasis on the knowledge acquisition step.
Description:13 Páginas ; 8 Figuras ; 1 Tabla
Publisher version (URL):http://portal.acm.org/citation.cfm?id=1218691
URI:http://hdl.handle.net/10261/37342
ISSN:0921-7126
Appears in Collections:(CEAB) Artículos

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.