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

Hydrological Processes

Volumn 20, Issue 5, 2006, Pages 1201-1216

  Antar, Mamdouh A ^a,b   Elassiouti, Ibrahim ^c   Allam, Mohamed N ^c  

^a Ministry of Water Resources and Irrigation Egypt   (Egypt)

^b Cairo University ^*  (Egypt)

^c CAIRO UNIVERSITY   (Egypt)

Author keywords

Distributed model; Neural networks; Rainfall; Runoff

Indexed keywords

CATCHMENTS; MATHEMATICAL MODELS; NEURAL NETWORKS; RAIN; RUNOFF; SENSITIVITY ANALYSIS;

DISTRIBUTED MODEL; RAINFALL-RUNOFF MODEL;

HYDROLOGY;

CATCHMENTS; HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; RAIN; RUNOFF; SENSITIVITY ANALYSIS;

ARTIFICIAL NEURAL NETWORK; RAINFALL-RUNOFF MODELING; RUNOFF;

AFRICA; BLUE NILE; EAST AFRICA; NILE RIVER; SUB-SAHARAN AFRICA;

EID: 33645158824     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.5932     Document Type: Article

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