[HTML][HTML] Assessment of drinking water quality and identifying pollution sources in a chromite mining region

A Mohammadpour, E Gharehchahi… - Journal of Hazardous …, 2024 - Elsevier
Water sources near mining regions are often susceptible to contamination from toxic
elements. This study employs machine learning (ML) techniques to evaluate drinking water …

[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches

AM Sajib, MTM Diganta, M Moniruzzaman… - Ecological …, 2024 - Elsevier
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …

A machine learning-based framework for water quality index estimation in the Southern Bug River

A Masood, M Niazkar, M Zakwan, R Piraei - Water, 2023 - mdpi.com
River water quality is of utmost importance because the river is not only one of the key water
resources but also a natural habitat serving its surrounding environment. In a bid to address …

[HTML][HTML] Predicting river water quality: an imposing engagement between machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)

J Sarafaraz, FA Kaleybar, JM Karamjavan… - Results in …, 2024 - Elsevier
Rivers play an essential role in supplying high-quality water to diverse sectors.
Understanding water quality indicators and systematic monitoring is crucial for water …

[HTML][HTML] A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India

N Satish, J Anmala, K Rajitha, MRR Varma - Ecological Informatics, 2024 - Elsevier
The importance of water quality models has increased as their inputs are critical to the
development of risk assessment framework for environmental management and monitoring …

Drinking water quality assessment using a fuzzy inference system method: a case study of Rome (Italy)

Y Barzegar, I Gorelova, F Bellini… - International journal of …, 2023 - mdpi.com
Drinking water quality assessment is a major issue today, as it is crucial to supply safe
drinking water to ensure the well-being of society. Predicting drinking water quality helps …

[HTML][HTML] Bootstrap approach for quantifying the uncertainty in modeling of the water quality index using principal component analysis and artificial intelligence

C Chawishborwornworng, S Luanwuthi… - Journal of the Saudi …, 2024 - Elsevier
Collecting and analyzing data on surface water across extensive areas is a challenging,
time-consuming and expensive. Developing predictive models that offer high accuracy …

Integrated fuzzy AHP-TOPSIS model for assessing managed aquifer recharge potential in a hot dry region: a case study of Djibouti at a country scale

RM Mouhoumed, Ö Ekmekcioğlu, EE Başakın, M Özger - Water, 2023 - mdpi.com
Given the prevailing arid climate and rapid population growth, groundwater resources face
unprecedented challenges globally, including depletion, seawater intrusion, and …

Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region

L Krishnamoorthy, VR Lakshmanan - Environmental Science and …, 2024 - Springer
Water plays a significant role in sustaining the lives of humans and other living organisms.
Groundwater quality analysis has become inevitable, because of increased contamination of …

An innovative approach for quality assessment and its contamination on surface water for drinking purpose in Mahanadi River Basin, Odisha of India, with the …

A Das - Applied Water Science, 2024 - Springer
Water is essential for life, as it supports bodily functions, nourishes crops, and maintains
ecosystems. Drinking water is crucial for maintaining good health and can also contribute to …