Articles | Volume 7, issue 10
Biogeosciences, 7, 3311–3332, 2010
https://doi.org/10.5194/bg-7-3311-2010
Biogeosciences, 7, 3311–3332, 2010
https://doi.org/10.5194/bg-7-3311-2010

  27 Oct 2010

27 Oct 2010

The use of machine learning algorithms to design a generalized simplified denitrification model

F. Oehler et al.

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Cited articles

Alpaydin, E.: Introduction to Machine Learning (Adaptive Computation and Machine Learning), The MIT Press, 2004.
Arnold, J. G. and Fohrer, N.: SWAT2000: current capabilities and research opportunities in applied watershed modelling, Hydrol. Process., 19, 563–572, 2005.
Basset-Mens, C., Anibar, L., Durand, P., and van der Werf, H. M. G.: Spatialised fate factors for nitrate in catchments: Modelling approach and implication for LCA results, Sci. Total Environ., 367, 367–382, 2006.
Beaujouan, V., Durand, P., and Ruiz, L.: Modelling the effect of the spatial distribution of agricultural practices on nitrogen fluxes in rural catchments, Ecol. Model., 137, 93–105, 2001.
Beven, K.: Prophecy, Reality and Uncertainty in Distributed Hydrological Modeling, Adv. Water Resour., 16, 41–51, 1993.
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