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Data to intelligence: The role of data-driven models in wastewater treatment
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 …
important. An emerging approach to addressing this issue is to exploit development in data …
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 …
sustainable development. To better protect the water environment and conserve water …
Biowaste-and nature-derived (nano) materials: Biosynthesis, stability and environmental applications
Due to the environmental pollution issues and the supply of drinking/clean water, removal of
both inorganic and organic (particularly dyes, nitroarenes, and heavy metals) to non …
both inorganic and organic (particularly dyes, nitroarenes, and heavy metals) to non …
Simultaneous shortcut nitrification and denitrification in a hybrid membrane aerated biofilms reactor (H-MBfR) for nitrogen removal from low COD/N wastewater
M Chang, B Liang, K Zhang, Y Wang, D **, Q Zhang… - Water Research, 2022 - Elsevier
The residues of nitrogen contaminants due to insufficient organic carbon sources in sewage
has always been the main problem faced by wastewater treatment plants in the process of …
has always been the main problem faced by wastewater treatment plants in the process of …
A novel cross-flow honeycomb bionic carrier promotes simultaneous nitrification, denitrification and phosphorus removal in IFAS system: Performance, mechanism …
T Wu, J Ding, SS Yang, L Zhong, BF Liu, GJ **e… - Water Research, 2022 - Elsevier
Simultaneously achieving efficient nitrogen (N) and phosphorus (P) removal without adding
external carbon source is vital for carbon-neutral wastewater treatment. In this study, a novel …
external carbon source is vital for carbon-neutral wastewater treatment. In this study, a novel …
Synthesis of zeolites by in-situ conversion of geopolymers and their performance of heavy metal ion removal in wastewater: A review
Z Ren, L Wang, Y Li, J Zha, G Tian, F Wang… - Journal of Cleaner …, 2022 - Elsevier
Toxic heavy metal ions, as one of the most common pollutants in wastewater, are harmful
and widespread, which have severely threatened human health and survival. Therefore, the …
and widespread, which have severely threatened human health and survival. Therefore, the …
[HTML][HTML] Adsorption of thallium from wastewater using disparate nano-based materials: A systematic review
Abstract Development of promising technologies to remove thallium as a highly poisonous
contaminant is of great attention to guarantee the sustainable supplement of safe potable …
contaminant is of great attention to guarantee the sustainable supplement of safe potable …
Retracted: Enhancing waste management and prediction of water quality in the sustainable urban environment using optimized algorithm of least square support …
Following an investigation into a number of papers published as part of the Urban
Groundwater Special Issue in Urban Climate, it became evident that the names of two co …
Groundwater Special Issue in Urban Climate, it became evident that the names of two co …
[HTML][HTML] Digital twins for wastewater treatment: A technical review
The digital twins concept enhances modeling and simulation through the integration of real-
time data and feedback. This review elucidates the foundational elements of digital twins …
time data and feedback. This review elucidates the foundational elements of digital twins …
Performance prediction of trace metals and cod in wastewater treatment using artificial neural network
Artificial intelligence is finding its ways into the mainstream of day-to-day operations. Novel
AI application techniques such as the artificial neural network (ANN), fuzzy logic, genetic …
AI application techniques such as the artificial neural network (ANN), fuzzy logic, genetic …