Data to intelligence: The role of data-driven models in wastewater treatment

M Bahramian, RK Dereli, W Zhao, M Giberti… - Expert Systems with …, 2023 - Elsevier
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …

Removal of organic micropollutants using advanced membrane-based water and wastewater treatment: A review

NK Khanzada, MU Farid, JA Kharraz, J Choi… - Journal of membrane …, 2020 - Elsevier
The rising consumption of pharmaceuticals, personal care products, and endocrine
disruptive compounds for healthcare purposes and improving living standards has resulted …

Removal of contaminants of emerging concern by membranes in water and wastewater: a review

S Kim, KH Chu, YAJ Al-Hamadani, CM Park… - Chemical Engineering …, 2018 - Elsevier
This review summarizes comprehensive recent studies on the removal of contaminants of
emerging concern (CECs) by forward osmosis (FO), reverse osmosis (RO), nanofiltration …

Removal of contaminants of emerging concern by metal-organic framework nanoadsorbents: A review

L Joseph, BM Jun, M Jang, CM Park… - Chemical Engineering …, 2019 - Elsevier
Over the last two decades, various contaminants of emerging concern (CECs), such as
endocrine disrupting compounds, along with pharmaceuticals and personal care products …

A review of emerging trends in membrane science and technology for sustainable water treatment

A Yusuf, A Sodiq, A Giwa, J Eke, O Pikuda… - Journal of cleaner …, 2020 - Elsevier
Access to clean or potable water will continue to be a global challenge in as much as
sustainable solutions are far-fetched. It has become imperative to improve the efficiency of …

Tackling environmental challenges in pollution controls using artificial intelligence: A review

Z Ye, J Yang, N Zhong, X Tu, J Jia, J Wang - Science of the Total …, 2020 - Elsevier
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …

Fabrication of ZnAl-LDH mixed metal-oxide composites for photocatalytic degradation of 4-chlorophenol

G Xia, Y Zheng, Z Sun, S Xia, Z Ni, J Yao - Environmental Science and …, 2022 - Springer
In this work, two different types of ZnAl-layered double hydroxide (LDH) mixed metal-oxide
composites (CeO2 and SnO2) were synthesized and applied for the photodegradation of 4 …

Removal of emerging organic micropollutants via modified-reverse osmosis/nanofiltration membranes: A review

YS Khoo, PS Goh, WJ Lau, AF Ismail, MS Abdullah… - Chemosphere, 2022 - Elsevier
Hazardous micropollutants (MPs) such as pharmaceutically active compounds (PhACs),
pesticides and personal care products (PCPs) have emerged as a critical concern …

Can machine language and artificial intelligence revolutionize process automation for water treatment and desalination?

S Al Aani, T Bonny, SW Hasan, N Hilal - Desalination, 2019 - Elsevier
Artificial intelligence (AI) is a powerful tool that is commonly applied in engineering multi-
disciplines owing to its functionality to resolve real-world problems where deterministic …

Selected advanced water treatment technologies for perfluoroalkyl and polyfluoroalkyl substances: A review

D Banks, BM Jun, J Heo, N Her, CM Park… - Separation and …, 2020 - Elsevier
Numerous perfluoroalkyl and polyfluoroalkyl substances (PFASs) have been widely found in
both wastewater effluent and drinking water worldwide; thus, these chemicals have become …