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| Lischeid, G; Lange, H; Hauhs, M: Neural Network Modelling of NO3-Time Series from small Headwater Catchments, Proc. IAHS "International Advances in Hydrological Sciences", 248, 467-473 (1998) | |
Abstract:
A variety of different processes is known that determine water and
solute fluxes in headwater catchments. Water resources management of these systems, however, relies in most cases on empirical experience with respect
to its overall response. A promising method to bridge the gap between comprehensive scientific investigations and the need to manage the systems on the basis of limited data sets seems to be the application of artificial neural networks (ANN). Here, time series of N03" concentrations in the
runoff of two forested headwater catchments in south Germany are
investigated. Furthermore, the application of nonlinear methods presented here reveals a rather intricate behaviour also on the temporal scale, and considerable differences between the two catchments. This demonstrates the
validity of ANN as universal descriptive tools. |
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