Abstract:
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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. |