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Gad, M., Saleh, A.H., Hussein, H., Elsayed, S. and Farouk, M. (2023) Water Quality Evaluation and Prediction Using Irrigation Indices, Artificial Neural Networks, and Partial Least Square Regression Models for the Nile River, Egypt. Water, 15, Article 2244.
https://doi.org/10.3390/w15122244

has been cited by the following article:

• TITLE: Seasonal Sodium Percentage (%NA), Absorption Ratio (SAR) and Irrigation Water Quality Index (IWQI) Determination for Irrigation Purposes Along River Ethiope, Southern Nigeria

  AUTHORS: Ochuko Ushurhe, Famous Ozabor, Wekpe Vremudia Onyeayana, Obisesan Adekunle, Ifuwe Chineme Christabel, Dibosa Francis Chike

  KEYWORDS: Evaluation, Irrigation-Agriculture, IWQI, River-Ethiope, SAR, %Na

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.16 No.7, July 22, 2024

  ABSTRACT: The improvement of agriculture through irrigation farming is now of great need in the country Nigeria and Delta State. The country is going through a phase of famine and food insecurity caused by climate change and rain dependent agricultural practices. The aim of the study therefore, was to evaluate the quality of water from River Ethiope in Southern Nigeria for irrigation agriculture purposes using the percentage sodium (%Na), sodium-adsorption ratio (SAR) and irrigation-water quality index (IWQ1) techniques. The study deployed the experimental design and water samples were collected from different segments of the Ethiope River. A total of 144 water samples were collected and analysed for physicochemical parameters quality (EC, HCO3, Cl−, Na+, Mg2+, Ca2+ and K+) from January to December, 2022. The results showed that all the calculated values for %Na were within the classified rating of 20