Rainfall-runoff modelling using artificial neural networks technique: a Blue Nile catchment case study

A. Antar, Mamdouh; M. Elassiouti, Ibrahim; Allam, Mohamed

doi:10.1002/hyp.5932

Public

Rainfall-runoff modelling using artificial neural networks technique: a Blue Nile catchment case study

Shared by NobleBlocks on Oct 18, 2005 • 12:00 AM UTC

Authors:

Mamdouh A. Antar

Ibrahim M. Elassiouti

Mohamed Allam

Abstract

A rainfall-runoff model based on an artificial neural network (ANN) is presented for the Blue Nile catchment. The best geometry of the ANN rainfall-runoff model in terms of number of hidden layers and nodes is identified through a sensitivity analysis. The Blue Nile catchment (about 300 000 km2) in ...

Subject

Surface runoff

Drainage basin

Hydrology (agriculture)

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!