Аннотация
Two algorithms of evolutionary computation, an
algebraic function model and a rule-based model, were
applied for model development with respect to 8 years
of limnological data from the lower Nakdong River. The
aim of the modelling was to reproduce the abundances of
the phytoplankton species, Microcystis aeruginosa,
based on physical, chemical and meteorological
parameters. The algebraic function model overestimated
or underestimated abundance values, but correctly
recognised the timing of high abundances. The
rule-based model detected not only the timing of algal
blooms well but also the magnitude of abundances.
Sensitivity analysis indicates that high water
temperature influences high abundances of M. aruginosa.
In addition, dissolved oxygen, pH, nitrate and
phosphate are shown to be explainable in relation to
deoxygeneration, carbon dioxide transformation and
nutrient limitations.
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