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 …

Complex Impact of Metals on the Fate of Disinfection By-Products in Drinking Water Pipelines: A Systematic Review

X Guo, X Ji, Z Liu, Z Feng, ZF Zhang, S Du, X Li, J Ma… - Water Research, 2024 - Elsevier
Metals in the drinking water distribution system (DWDS) play an important role on the fate of
disinfection by-products (DBPs). They can increase the formation of DBPs through several …

Machine learning framework for predicting cytotoxicity and identifying toxicity drivers of disinfection byproducts

R Sikder, H Zhang, P Gao, T Ye - Journal of Hazardous Materials, 2024 - Elsevier
Drinking water disinfection can result in the formation disinfection byproducts (DBPs,> 700
have been identified to date), many of them are reportedly cytotoxic, genotoxic, or …

[HTML][HTML] Health impacts of poor water quality on an endangered shorebird breeding programme in Aotearoa New Zealand

BD Gartrell, S Hunter, R Collen, M Jolly… - New Zealand …, 2024 - Taylor & Francis
Case history Two clusters of mortality among endangered tūturuatu/tchūriwat'/shore plover
(Thinornis novaeseelandiae) have occurred at captive breeding facilities around New …

[HTML][HTML] Photo driven homogeneous advanced oxidation coupled to adsorption process for an effective arsenic removal from drinking water

A Melnikova, A Faggiano, M Visconti… - Journal of …, 2024 - Elsevier
The presence of arsenic (As) in drinking water is a major concern for human health. As (III) is
the most toxic water-soluble form and it is hard to remove by separation methods, including …

machine learning-guided optical and raman spectroscopy characterization of 2d materials

MHU Rahman, M Tripathi, A Dalton… - Machine Learning in …, 2023 - taylorfrancis.com
Two-dimensional (2D) materials have gained tremendous interest in the scientific
community because of their remarkable properties. Nevertheless, the atomic scale thickness …

[HTML][HTML] Applications of Artificial Intelligence, Machine Learning, and Data Analytics in Water Environments

H Zhang, C Ng - ACS ES&T Water, 2024 - ACS Publications
There has been a remarkable surge in the number of journal articles detailing the
application of artificial intelligence (AI), machine learning (ML), and data analytics tools …

[HTML][HTML] Automated Crack Detection in 2D Hexagonal Boron Nitride Coatings Using Machine Learning

MHU Rahman, BD Shrestha Gurung, BK Jasthi… - Coatings, 2024 - mdpi.com
Characterizing defects in 2D materials, such as cracks in chemical vapor deposited (CVD)-
grown hexagonal boron nitride (hBN), is essential for evaluating material quality and …

[HTML][HTML] Impact of source water quality on total organic carbon and trihalomethane removal efficiency in a water treatment plant: A case study of Upper Awash, Ethiopia

E Assefa, A Jabasingh, E Mulugeta… - Journal of Water and …, 2024 - iwaponline.com
This study addresses the limited understanding of factors affecting the efficiency of water
treatment plants in reducing trihalomethane (THM) formation through total organic carbon …

Leveraging weak electrical stimulation and artificial intelligence for sustainable microbial dehalogenation in groundwater remediation

M Lv, Q Yao, Z Qin, C Li, Y Chen, Z Li… - Water Security: Big Data …, 2024 - Elsevier
Halogenated organic contaminants (HOCs) in groundwater pose a substantial threat to both
human health and the environment, necessitating effective remediation strategies. This …