A review on machine learning, artificial intelligence, and smart technology in water treatment and monitoring

M Lowe, R Qin, X Mao - Water, 2022 - mdpi.com
Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

Smart water resource management using Artificial Intelligence—A review

SR Krishnan, MK Nallakaruppan, R Chengoden… - Sustainability, 2022 - mdpi.com
Water management is one of the crucial topics discussed in most of the international forums.
Water harvesting and recycling are the major requirements to meet the global upcoming …

A sustainable decision support system for drinking water systems: Resiliency improvement against cyanide contamination

M Gheibi, M Eftekhari, M Akrami, N Emrani… - Infrastructures, 2022 - mdpi.com
Maintaining drinking water quality is considered important in building sustainable cities and
societies. On the other hand, water insecurity is an obstacle to achieving sustainable …

Performance evaluation of artificial intelligence with particle swarm optimization (PSO) to predict treatment water plant DBPs (haloacetic acids)

AI Okoji, CN Okoji, OS Awarun - Chemosphere, 2023 - Elsevier
The prevention of water-borne diseases requires the disinfection of water consumed.
Disinfection by-products, however, are an increasing concern, and they require advanced …

New methods based on a genetic algorithm back propagation (GABP) neural network and general regression neural network (GRNN) for predicting the occurrence of …

K Liu, T Lin, T Zhong, X Ge, F Jiang, X Zhang - Science of the Total …, 2023 - Elsevier
Monitoring trihalomethanes (THMs) levels in water supply systems is of great significance in
ensuring drinking water safety. However, THMs detection is a time-consuming task …

Predicting the formation of disinfection by-products using multiple linear and machine learning regression

F Peng, Y Lu, Y Wang, L Yang, Z Yang, H Li - Journal of Environmental …, 2023 - Elsevier
Controlling the formation of disinfection byproducts (DBPs) requires prior knowledge of DBP
formation potential. Mathematical models can accurately predict the formation of DBPs and …

Evaluation of adaptive neuro-fuzzy inference system-genetic algorithm in the prediction and optimization of NOx emission in cement precalcining kiln

AI Okoji, AN Anozie, JA Omoleye, AE Taiwo… - … Science and Pollution …, 2023 - Springer
The increasing demand for cement due to urbanization growth in Africa countries may result
in an upsurge of pollutants associated with its production. One major air pollutant in cement …

Application of artificial intelligence in (waste) water disinfection: Emphasizing the regulation of disinfection by-products formation and residues prediction

Y Ding, Q Sun, Y Lin, Q Ping, N Peng, L Wang, Y Li - Water Research, 2024 - Elsevier
Abstract Water/wastewater ((waste) water) disinfection, as a critical process during drinking
water or wastewater treatment, can simultaneously inactivate pathogens and remove …

Trihalomethanes in chlorinated drinking water: seasonal variations and health risk assessment in southern Iran

A Mohammadpour, Z Emadi, E Berizi… - Groundwater for …, 2024 - Elsevier
Assessing the adverse impacts of trihalomethanes, the most hazardous disinfection by-
products, is crucial for community health protection. This study evaluated physicochemical …

Predictive capability of THM models for drinking water treatment and distribution

D Hogue, PB Mirchandani, TH Boyer - Environmental Science: Water …, 2023 - pubs.rsc.org
Research and practice suggest markers of drinking water quality such as trihalomethanes
(THMs), can change during treatment and distribution, potentially elevating health risk of end …