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Identification of an urban fractured-rock aquifer dynamics using an evolutionary self-organizing modelling
Journal of Hydrology, 259 (1-4): 89--104 (2002)
Аннотация
An urban fractured-rock aquifer system, where disposal
of storm water is via 'soak holes' drilled directly
into the top of fractured-rock basalt, has a highly
dynamic nature where theories or knowledge to generate
the model are still incomplete and insufficient.
Therefore, formulating an accurate mechanistic model,
usually based on first principles (physical and
chemical laws, mass balance, and diffusion and
transport, etc.), requires time- and money-consuming
tasks.Instead of a human developing the
mechanistic-based model, this paper presents an
approach to automatic model evolution in genetic
programming (GP) to model dynamic behaviour of
groundwater level fluctuations affected by storm water
infiltration. This GP evolves mathematical models
automatically that have an understandable structure
using function tree representation by methods of
natural selection ('survival of the fittest') through
genetic operators (reproduction, crossover, and
mutation).The simulation results have shown that GP is
not only capable of predicting the groundwater level
fluctuation due to storm water infiltration but also
provides insight into the dynamic behaviour of a
partially known urban fractured-rock aquifer system by
allowing knowledge extraction of the evolved models.
Our results show that GP can work as a cost-effective
modelling tool, enabling us to create prototype models
quickly and inexpensively and assists us in developing
accurate models in less time, even if we have limited
experience and incomplete knowledge for an urban
fractured-rock aquifer system affected by storm water
infiltration.
