Evaluation and prediction of groundwater quality for irrigation using an integrated water quality indices, machine learning models and GIS approaches: A …

H Ibrahim, ZM Yaseen, M Scholz, M Ali, M Gad… - Water, 2023 - mdpi.com
Agriculture has significantly aided in meeting the food needs of growing population. In
addition, it has boosted economic development in irrigated regions. In this study, an …

Application of water quality indices, machine learning approaches, and GIS to identify groundwater quality for irrigation purposes: A case study of Sahara Aquifer …

A Gaagai, HA Aouissi, S Bencedira, G Hinge… - Water, 2023 - mdpi.com
In order to evaluate and project the quality of groundwater utilized for irrigation in the Sahara
aquifer in Algeria, this research employed irrigation water quality indices (IWQIs), artificial …

Assessment of groundwater suitability for sustainable irrigation: a comprehensive study using indexical, statistical, and machine learning approaches

G Singh, J Singh, OA Wani, JC Egbueri… - Groundwater for …, 2024 - Elsevier
Groundwater quality for irrigation purposes varies across regions, countries, and specific
locations, primarily due to factors such as groundwater extraction and utilization methods …

Evaluation of groundwater quality for irrigation in deep aquifers using multiple graphical and indexing approaches supported with machine learning models and GIS …

MH Eid, M Elbagory, AA Tamma, M Gad, S Elsayed… - Water, 2023 - mdpi.com
Irrigation has made a significant contribution to supporting the population's expanding food
demands, as well as promoting economic growth in irrigated regions. The current …

Fuzzy logic, geostatistics, and multiple linear models to evaluate irrigation metrics and their influencing factors in a drought-prone agricultural region

SMR Al Zihad, ARMT Islam, MAB Siddique… - Environmental …, 2023 - Elsevier
The quality of water used for irrigation is one of the major threats to maintaining the long-
term sustainability of agricultural practices. Although some studies have addressed the …

Assessment of surface water quality using the water quality index (IWQ), multivariate statistical analysis (MSA) and geographic information system (GIS) in Oued Laou …

HE Azhari, EK Cherif, O Sarti, EM Azzirgue, H Dakak… - Water, 2022 - mdpi.com
Surface water is used for a variety of purposes, including agriculture, drinking water, and
other services. Therefore, its quality is crucial for irrigation, human welfare, and health. Thus …

Water quality evaluation and prediction using irrigation indices, artificial neural networks, and partial least square regression models for the Nile River, Egypt

M Gad, AH Saleh, H Hussein, S Elsayed, M Farouk - Water, 2023 - mdpi.com
Water quality is identically important as quantity in terms of meeting basic human needs.
Therefore, evaluating the surface-water quality and the associated hydrochemical …

Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection

NL Kushwaha, J Rajput, T Suna, DR Sena… - Ecological …, 2023 - Elsevier
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …

Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices

PK Singh, J Rajput, D Kumar, V Gaddikeri… - Ecological …, 2023 - Elsevier
Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in developing nations …

Conjunct application of machine learning and game theory in groundwater quality mapping

AN Khiavi, M Tavoosi, A Kuriqi - Environmental Earth Sciences, 2023 - Springer
Groundwater quality (GWQ) monitoring is one of the best environmental objectives due to
recent droughts and urban and rural development. Therefore, this study aimed to map GWQ …