Machine learning in natural and engineered water systems

R Huang, C Ma, J Ma, X Huangfu, Q He - Water Research, 2021 - Elsevier
Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …

The role of biofilm in the development and dissemination of ubiquitous pathogens in drinking water distribution systems: an overview of surveillance, outbreaks, and …

BA Hemdan, GE El-Taweel, P Goswami, D Pant… - World Journal of …, 2021 - Springer
A variety of pathogenic microorganisms can survive in the drinking water distribution
systems (DWDS) by forming stable biofilms and, thus, continually disseminating their …

[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 …

[HTML][HTML] Managing discolouration in drinking water distribution systems by integrating understanding of material behaviour

J Boxall, M Blokker, P Schaap, V Speight, S Husband - Water Research, 2023 - Elsevier
Discoloured drinking water, caused by elevated concentrations of organic and inorganic
particles, is unacceptable. It occurs due to accumulation and subsequent mobilisation of …

[HTML][HTML] Removal of microplastics and nanoplastics in water treatment processes: A systematic literature review

P Romphophak, O Faikhaw, S Sairiam… - Journal of Water …, 2024 - Elsevier
Understanding the dynamics of microplastics (MPs) and nanoplastics (NPs) in water
treatment processes is crucial, particularly in the context of waterworks, as they are …

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 …

Applications of machine learning in drinking water quality management: A critical review on water distribution system

Z Li, W Ma, D Zhong, J Ma, Q Zhang, Y Yuan… - Journal of Cleaner …, 2024 - Elsevier
As the final and crucial link in delivering clean water to consumers, the water distribution
system faces the risk of water quality deterioration. Conventional water quality parameter …

Uncharted waters: the unintended impacts of residual chlorine on water quality and biofilms

KE Fish, N Reeves-McLaren, S Husband… - npj Biofilms and …, 2020 - nature.com
Disinfection residuals in drinking water protect water quality and public heath by limiting
planktonic microbial regrowth during distribution. However, we do not consider the …

[HTML][HTML] Variations of groundwater turbidity in the Bandung regency, Indonesia: From community-used water quality monitoring data

N Fahimah, IRS Salami, K Oginawati, YN Thaher - HydroResearch, 2023 - Elsevier
One of the physical parameters used as an indicator of groundwater quality is turbidity. The
high level of turbidity in community groundwater is a problem in Bandung Regency. The …

Using unsupervised machine learning models to drive groundwater chemistry and associated health risks in Indo-Bangla Sundarban region

JN Jannat, ARMT Islam, MY Mia, SC Pal, T Biswas… - Chemosphere, 2024 - Elsevier
Groundwater is an essential resource in the Sundarban regions of India and Bangladesh,
but its quality is deteriorating due to anthropogenic impacts. However, the integrated factors …