Determination of the most influential climatic factors in the (rainfall-runoff) relationship using artificial neural networks / Case study: Al-Kabir Al-Shimalee river /
published by Aِl-Baath University
in 2017
in
and research's language is
العربية
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Abstract in English
the aim of this study is
determination of the most influential climatic factors in the rainfall
runoff relationship in Al-Kabir Al-shimalee river using artificial
neural networks. The inputs included Precipitation, runoff, in
different delays, in addition on لاclimate factor in each network, to
determinate the best model.
References used
ANTAR, M. A; ELASSIOUTI, I; ALLAM, M. N. Rainfallrunoff modelling using artificial neural networks technique: a Blue Nile catchment case study. Hydrol. Process. 20, 1201– 1216, 2006
KALTEH, A. M. 2008 - Rainfall-runoff modelling using artificial neural networks (ANNs): modelling and understanding. Caspian J. Eng. Sci. Vol. 6 No.1. 53-58
KUMAR, M; RAGHUWANSHI, N. S; SINGH, R; WALLENDER, W. W; PRUITT, W. O, 2002. Estimating Evapotranspiration using Artificial Neural Network. Journal of Irrigation and Drainage Engineering