[HTML][HTML] A review of the application of machine learning in water quality evaluation

M Zhu, J Wang, X Yang, Y Zhang, L Zhang… - Eco-Environment & …, 2022‏ - Elsevier
With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …

[HTML][HTML] Applications of online UV-Vis spectrophotometer for drinking water quality monitoring and process control: a review

Z Shi, CWK Chow, R Fabris, J Liu, B ** - Sensors, 2022‏ - mdpi.com
Water quality monitoring is an essential component of water quality management for water
utilities for managing the drinking water supply. Online UV-Vis spectrophotometers are …

[HTML][HTML] Artificial intelligence in the water domain: Opportunities for responsible use

N Doorn - Science of the Total Environment, 2021‏ - Elsevier
Recent years have seen a rise of techniques based on artificial intelligence (AI). With that
have also come initiatives for guidance on how to develop “responsible AI” aligned with …

[HTML][HTML] Data-driven models for predicting microbial water quality in the drinking water source using E. coli monitoring and hydrometeorological data

E Sokolova, O Ivarsson, A Lillieström… - Science of the Total …, 2022‏ - Elsevier
Rapid changes in microbial water quality in surface waters pose challenges for production of
safe drinking water. If not treated to an acceptable level, microbial pathogens present in the …

Artificial intelligence in pollution control and management: status and future prospects

TD Hoang, NM Ky, NTN Thuong, HQ Nhan… - … in the Era of Industry 4.0, 2022‏ - Springer
Environmental pollution is becoming serious worldwide and remains a big challenge for
human beings in this century. Many countries and organizations are seeking solutions to this …

Machine learning to assess and support safe drinking water supply: A systematic review

F Feng, Y Zhang, Z Chen, J Ni, Y Feng, Y **e… - Journal of …, 2024‏ - Elsevier
Drinking water is essential to public health and socioeconomic growth. Therefore, assessing
and ensuring drinking water supply is a critical task in modern society. Conventional …

Direct potable reuse: are we ready? A review of technological, economic, and environmental considerations

AA Keller, Y Su, D Jassby - ACS ES&T Engineering, 2021‏ - ACS Publications
Meeting future water demand will require serious consideration of direct potable reuse
(DPR) for many water agencies. There has been tremendous progress in the technologies …

[HTML][HTML] Dynamic surface river pollution identification by a hybrid multivariate-based anomaly detection algorithm

D Jiang, H Zhu, J Liu, X Feng, F Ma, J Wang - Journal of Cleaner …, 2024‏ - Elsevier
With the rapid development of monitoring systems, extensive amount of water quality high-
resolution measurements are accumulated, which make it unrealistic to manually extract the …

[HTML][HTML] Artificial intelligence-based microfluidic platform for detecting contaminants in water: A review

Y Zhang, J Li, Y Zhou, X Zhang, X Liu - Sensors, 2024‏ - mdpi.com
Water pollution greatly impacts humans and ecosystems, so a series of policies have been
enacted to control it. The first step in performing pollution control is to detect contaminants in …

A machine learning approach for rapid early detection of Campylobacter spp. using absorbance spectra collected from enrichment cultures

K Zhang, C Schang, R Henry, D McCarthy - Plos one, 2024‏ - journals.plos.org
Enumeration of Campylobacter from environmental waters can be difficult due to its low
concentrations, which can still pose a significant health risk. Spectrophotometry is an …