Evaluation of Groundwater in Makhmur District for Irrigation Purposes Using Artificial Intelligence

Al-Saffah, Abid Mohammed Rashid; Al-Mashhadany, Mohammed Hazim Sabry

doi:10.33899/earth.2024.147722.1245

	Evaluation of Groundwater in Makhmur District for Irrigation Purposes Using Artificial Intelligence
Iraqi National Journal of Earth Science (INJES)
Article 8, Volume 25, Issue 3, July 2025, Pages 123-134 PDF (836.5 K)
Document Type: Research Paper
DOI: 10.33899/earth.2024.147722.1245
Authors
Abid Mohammed Rashid Al-Saffah; Mohammed Hazim Sabry Al-Mashhadany^*
Department of Chemistry, College of Education for Pure Sciences, University of Mosul, Mosul, Iraq
Abstract
Groundwater occupies the forefront in areas where there is no surface runoff from streams and rivers. Therefore, it becomes a natural resource that can be relied upon to develop the areas where it exists if investments are made rationally and thoughtfully, especially in agriculture. Ground-water is studied in the Makhmur district. The research objectives are to highlight the suitability of groundwater for irrigation using one of the methods of artificial intelligence by studying the chemical properties and calculating irrigation coefficients (PI, PS, SAR, MAR, KR, Na%, and RSC) and comparing them with the international standards, then the spatial distribution of irrigation coefficients for the study area is studied. The results of the irrigation classification using artificial intelligence using the Fuzzy method showed that 4 wells were classified as poor, 9 wells are very poor, and one well is unsuitable. The spatial distribution shows that the best places for FIGQ were in the West of the study area on contrast to the southern region, where electrical conductivity increases significantly.
Keywords
Irrigation; Fuzzy logic; Makhmour; SAR; Groundwater

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