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 …

Prediction of estuarine water quality using interpretable machine learning approach

S Wang, H Peng, S Liang - Journal of Hydrology, 2022 - Elsevier
Estuaries are principal sources of pollution in coastal areas. Estuarine water quality
prediction models can provide early warnings to prevent major disasters in coastal …

[HTML][HTML] Monthly runoff prediction at Baitarani river basin by support vector machine based on Salp swarm algorithm

S Samantaray, SS Das, A Sahoo… - Ain Shams Engineering …, 2022 - Elsevier
Accurate monthly runoff prediction is still challenging work regardless of the accessibility of
different modelling techniques, like the knowledge-driven or data-driven models, and human …

An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction

I Ahmadianfar, S Shirvani-Hosseini, J He… - Scientific Reports, 2022 - nature.com
Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …

Recent advances in surface water quality prediction using artificial intelligence models

Q Zhang, X You - Water Resources Management, 2024 - Springer
Accurate water quality prediction plays a vital role in sustainable water management. The
artificial intelligence models commonly used in water management including artificial neural …

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental …

E Fijani, R Barzegar, R Deo, E Tziritis… - Science of the total …, 2019 - Elsevier
Accurate prediction of water quality parameters plays a crucial and decisive role in
environmental monitoring, ecological systems sustainability, human health, aquaculture and …

[HTML][HTML] Application of random forest for modelling of surface water salinity

MA Khan, MI Shah, MF Javed, MI Khan… - Ain Shams Engineering …, 2022 - Elsevier
Modeling surface water quality using artificial intelligence-based models is essential in
projecting suitable mitigation measures. However, it remains a challenge and requires …

Integration of geochemical modeling, multivariate analysis, and irrigation indices for assessing groundwater quality in the Al-Jawf Basin, Yemen

MH Al-Mashreki, MH Eid, O Saeed, A Székács, P Szűcs… - Water, 2023 - mdpi.com
Water quality monitoring is crucial in managing water resources and ensuring their safety for
human use and environmental health. In the Al-Jawf Basin, we conducted a study on the …

Machine learning models with potential application to predict source water quality for treatment purposes: a critical review

C Ortiz-Lopez, C Bouchard… - Environmental …, 2022 - Taylor & Francis
Modelling source water quality in drinking water treatment systems could be useful for
anticipating changes in specific raw water quality parameters. Those changes entail …

Prediction of water quality parameters using ANFIS optimized by intelligence algorithms (case study: Gorganrood River)

A Azad, H Karami, S Farzin, A Saeedian… - KSCE Journal of Civil …, 2018 - Springer
Water quality management and control has high importance in planning and developing of
water resources. This study investigated application of Genetic Algorithm (GA), Ant Colony …