Filling of missing rainfall data in Luvuvhu River Catchment using artificial neural networks

► We patched rainfall data which had gaps in the LRC. ► Artificial neural networks will help in estimating missing rainfall data. ► Reliable rainfall data has been produced for the study are for the selected stations. Incomplete data with gaps is always a challenge in hydrological modeling and water...

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Veröffentlicht in:	Physics and chemistry of the earth. Parts A/B/C 2011, Vol.36 (14-15), p.830-835
Hauptverfasser:	Nkuna, T.R., Odiyo, J.O.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Bias Filling Freshwater Hydrology Luvuvhu River Catchment Mathematical models Missing rainfall data Rainfall Resource management Rivers Stations Water resources
Online-Zugang:	Volltext
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