Forecasting the seepage loss for lined and un-lined canals using artificial neural network and gene expression programming-Reference-Cited by-同舟云学术

Forecasting the seepage loss for lined and un-lined canals using artificial neural network and gene expression programming

Published:2023-06-10 Issue:1 Volume:14 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Gad Manal¹,Abdelhaleem Hanaa Mohamed¹,O. A. S. Waleed²

Affiliation:

1. Civil Engineering Department, Delta Higher Institute for Engineering and Technology, Mansoura, Egypt

2. Nile Research Institute (NRI), National Water Research Center (NWRC), Ministry of Water Resources and Irrigation (MWRI), El-Qanater, Egypt

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2221775

Reference24 articles.

1. Compatibility between Canals Lining Methods and Sites Conditions Case Study: Al-Khofoog Canal, El-Minia.(Dept.C)

2. Comparison of water losses between un-lined and lined watercources in Indus basin of Pakistan;Arshad M;J Agric Sci Pakistan,2009

3. water-saving from rehabilitation of irrigation canals case study: El-Sont canal, Assiut Governorate;Ashour MA;Aswan Univ J Environ Stud (AUJES),2021

4. Numerical investigation on geometric configurations affecting seepage from un-lined earthen channels and the comparison with field measurements;Asl RH;Eng Appl Comput Fluid Mech,2020

5. Optimizing lining length of watercourses for increased water saving in Punjab, Pakistan;Awan AA;J Biodiver Environ Sci (JBES),2017

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