Application of artificial neural networks to the design of subsurface drainage systems in Libyan agricultural projects

Study region: The study data draws on the drainage design for Hammam agricultural project (HAP) and Eshkeda agricultural project (EAP), located in the south of Libya, north of the Sahara Desert. The results of this study are applicable to other arid areas. Study focus: This study aims to improve the...

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Bibliographic Details

Published in:	Journal of Hydrology: Regional Studies
Main Authors:	Murad A. Ellafi, Lynda K. Deeks, Robert W. Simmons
Format:	Article
Language:	English
Published:	Elsevier 2021-06-01
Subjects:	Saturated hydraulic conductivity Artificial neural networks Agricultural drainage design Pedotransfer functions Sub-surface drainage Arid areas
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214581821000616