Forward-looking roadmaps for long-term continuous water quality monitoring: bottlenecks, innovations, and prospects in a critical review

Y Huang, X Wang, W Xiang, T Wang… - Environmental …, 2022 - ACS Publications
Long-term continuous monitoring (LTCM) of water quality can bring far-reaching influences
on water ecosystems by providing spatiotemporal data sets of diverse parameters and …

Modelling chlorine residuals in drinking water: a review

C Onyutha, JC Kwio-Tamale - International journal of Environmental …, 2022 - Springer
Abstract World Health Organization's guidelines on water quality limit concentrations of
residual chlorine in drinking water to the range 0.2–5 mg/l. Modelling tends to be applied to …

Spatial variation and probabilistic risk assessment of exposure to fluoride in drinking water

RA Fallahzadeh, M Miri, M Taghavi… - Food and Chemical …, 2018 - Elsevier
Assessing the health risks of exposure to fluoride in developing countries has been unclear.
In this study, the concentration of fluoride and its spatial analysis in groundwater of 6 …

Investigating the role of biofilms in trihalomethane formation in water distribution systems with a multicomponent model

AA Abokifa, YJ Yang, CS Lo, P Biswas - Water research, 2016 - Elsevier
Biofilms are ubiquitous in the pipes of drinking water distribution systems (DWDSs), and
recent experimental studies revealed that the chlorination of the microbial carbon associated …

[HTML][HTML] Using complex network analysis for water quality assessment in large water distribution systems

R Sitzenfrei - Water Research, 2021 - Elsevier
Assessing and modelling the water quality in a water distribution system (WDS) are highly
important to ensure a reliable supply with sufficient water quality. Owing to the high …

Bayesian optimization of booster disinfection scheduling in water distribution networks

M Moeini, L Sela, AF Taha, AA Abokifa - Water Research, 2023 - Elsevier
Chlorine remains the most widely used disinfectant in drinking water treatment and
distribution systems worldwide. To maintain a minimum residual throughout the distribution …

Real-time identification of cyber-physical attacks on water distribution systems via machine learning–based anomaly detection techniques

AA Abokifa, K Haddad, C Lo… - Journal of Water …, 2019 - ascelibrary.org
Smart water infrastructures are prone to cyber-physical attacks that can disrupt their
operations or damage their assets. An algorithm was developed to identify suspicious …

Model-based carrying capacity investigation and its application to total maximum daily load (TMDL) establishment for river water quality management: A case study in …

C Fan, KH Chen, YZ Huang - Journal of Cleaner Production, 2021 - Elsevier
The carrying capacity of a river was explored through combining use of HEC-RAS and
Qual2K and the obtained results were applied to establishing the total maximum daily load …

Joint majorization of waterworks and secondary chlorination points considering the chloric odor and economic investment in the DWDS using machine learning and …

R Mao, K Zhang, Q Zhang, J Xu, C Cen, R Pan… - Water Research, 2022 - Elsevier
The traditional methods of increasing the chlorine disinfectant dosage in the drinking water
distribution system (DWDS) to control microorganisms and improve the safety of drinking …

Electrospraying Zwitterionic Copolymers as an Effective Biofouling Control for Accurate and Continuous Monitoring of Wastewater Dynamics in a Real-Time and Long …

Y Huang, X Qian, X Wang, T Wang… - Environmental …, 2022 - ACS Publications
Long-term continuous monitoring (LTCM) of water quality can provide high-fidelity datasets
essential for executing swift control and enhancing system efficiency. One roadblock for …