Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement
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hdl:2117/13170
Tipus de documentArticle
Data publicació2012
Condicions d'accésAccés obert
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Abstract
In order to prevent and reduce water pollution, promote a sustainable use,
protect the environment and enhance the status of aquatic ecosystems, this
article deals with the application of advanced mathematical techniques designed
to aid in the management of records of different water quality monitoring
networks. These studies include the development of a software tool for
decision support, based on the application of fuzzy logic techniques, which
can indicate water quality episodes from the behaviour of variables measured
at continuous automatic water control networks. Using a few physicalchemical
variables recorded continuously, the expert system is able to obtain
water quality phenomena indicators, which can be associated, with a high
probability of cause-effect relationship, with human pressure on the water
environment, such as urban discharges or diffuse agricultural pollution. In
this sense, at the proposed expert system, automatic water quality control
networks complement manual sampling of official administrative networks
and laboratory analysis, providing information related to specific events (discharges)
or continuous processes (eutrophication, fish risk) which can hardly
be detected by discrete sampling.
CitacióAngulo Bahón, C. [et al.]. Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement. "Expert systems with applications", 2012, vol. 39, núm. 1, p. 1011-1020.
ISSN0957-4174
Versió de l'editorhttp://www.sciencedirect.com/science/article/pii/S0957417411010645
Col·leccions
- Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [1.383]
- AHA - Advanced Hardware Architectures Group - Articles de revista [34]
- GREC - Grup de Recerca en Enginyeria del Coneixement - Articles de revista [95]
- Departament d'Enginyeria Electrònica - Articles de revista [1.713]
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ESwA_Ecowatch_final.pdf | Preprint | 1,276Mb | Visualitza/Obre |