A hydroinformatics system represents an electronic knowledge
encapsulator that models part of the real world and can be used for
the simulation and analysis of physical, chemical and biological
processes in water systems, in order to achieve a better management
of the aquatic environment. Thus, modelling is at the heart of
hydroinformatics. The theory of nonlinear dynamics and chaos, and
the extent to which recent improvements in the understanding of
inherently nonlinear natural processes present challenges to the
use of mathematical models in the analysis of water and
environmental systems, are elaborated in this work. In particular,
it demonstrates that the deterministic chaos present in many
nonlinear systems can impose fundamental limitations on our ability
to predict behaviour, even when well-defined mathematical models
exist. On the other hand, methodologies and tools from the theory
of nonlinear dynamics and chaos can provide means for a better
accuracy of short-term predictions as demonstrated through the
practical applications in this work.
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