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Environments
Special Issues
Emerging Technologies for Advanced Water Purification II
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Special Issue "Emerging Technologies for Advanced Water Purification II"

A special issue of Environments (ISSN 2076-3298).

Deadline for manuscript submissions: 20 December 2023 | Viewed by 4548

Special Issue Editors

Dr. Zacharias Frontistis

E-Mail Website
Guest Editor
Department of Chemical Engineering, University of Western Macedonia, 50100 Kozani, Greece
Interests: advanced oxidation processes; chemical engineering; water process engineering electrochemistry; environmental engineering; artificial intelligence; catalysis
Special Issues, Collections and Topics in MDPI journals
Dr. Athanasia Petala

E-Mail Website
Guest Editor
Department of Environment, Ionian University, 29100 Zakynthos, Greece
Interests: synthesis and characterization of materials for pollutant degradation and energy production
Dr. Adamantia A. Kampioti

E-Mail Website
Guest Editor
Department of Environment, Ionian University, 29100 Zakynthos, Greece
Interests: water quality; water and wastewater treatment; water analysis; water chemistry; environmental pollution; environmental analysis

Special Issue Information

Dear Colleagues,

In recent years, the reuse of wastewater has increased dramatically, due to the constant increase in water demand. This is due both to population growth and urbanization and to climate change. From this perspective, research in the field of advanced water management and treatment has increased significantly. New technologies have emerged to address new challenges, such as the degradation of persistent pollutants and emerging contaminants, non-biodegradable wastewater, and pathogens.

This Special Issue welcomes submissions on advanced wastewater management and treatment including, but not limited to, the following:

- Physico-chemical processes (membrane technologies, coagulation-flocculation, etc.);

- Advanced oxidation processes (photocatalysis, ozone Fenton, activated persulfate, sonochemistry, electrochemical oxidation, etc.);

- Applications of new catalytic materials for advanced wastewater treatment;

- Combination of biological and physicochemical processes—hybrid treatment;

- Advanced biological treatment (moving bed and membrane bioreactors, etc.);

- Bioremediation and phytoremediation;

- Studies carried out in pilot plants or related to size scaling;

- Applications of artificial intelligence to advanced waste treatment;

- Simulation of advanced treatment of wastewater or drinking water.

The publications in the first volume, which we believe may be of interest to you, can be found at the following link: https://www.mdpi.com/journal/environments/special_issues/Technologies_Water

Dr. Zacharias Frontistis
Dr. Athanasia Petala
Dr. Adamantia A. Kampioti
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Environments is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • non-biodegradable wastewater
  • emerging contaminants
  • advanced wastewater treatment
  • physicochemical treatment
  • MBR reactor
  • bioremediation
  • advanced oxidation processes
  • pilot plants
  • simulation of wastewater treatment

Published Papers (3 papers)

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Research

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Article
Synergy Effect during Water Treatment by Electric Discharge and Chlorination
by
Antonina P. Malyushevskaya
,
Piotr Koszelnik
,
Anna Yushchishina
,
Olena Mitryasova
,
Andrii Mats
and
Renata Gruca-Rokosz
Environments 2023, 10(6), 93; https://doi.org/10.3390/environments10060093 - 01 Jun 2023
Viewed by 1244
Abstract
Water treatment, such as disinfection, is an integral stage of its use for human life. The use of plasma technology with high-voltage electric discharge in a liquid for obtaining a bactericidal effect is discussed. It has been experimentally shown that among the factors [...] Read more.
Water treatment, such as disinfection, is an integral stage of its use for human life. The use of plasma technology with high-voltage electric discharge in a liquid for obtaining a bactericidal effect is discussed. It has been experimentally shown that among the factors accompanying a high-voltage electric discharge in a liquid and affecting the viability of bacteria, cavitation is the main one. Simultaneous use of electric discharge in the special cavitation mode and oxidizing agents makes it possible to achieve stable disinfection of water. At the same time, bactericidal doses of the oxidizing agent are reduced by a factor of 10 relative to existing standards, and the energy costs for electric discharge exposure, enhanced by small doses of an oxidizing agent, are reduced by 6 times compared to the costs of disinfection by only an electric discharge. Full article
(This article belongs to the Special Issue Emerging Technologies for Advanced Water Purification II)
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Article
Modeling and Optimization of Hexavalent Chromium Adsorption by Activated Eucalyptus Biochar Using Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System
by
Adeyinka Sikiru Yusuff
,
Niyi Babatunde Ishola
,
Afeez Olayinka Gbadamosi
and
Emmanuel I. Epelle
Environments 2023, 10(3), 55; https://doi.org/10.3390/environments10030055 - 17 Mar 2023
Viewed by 1770
Abstract
Due to its excellent textural features, non-toxicity, low cost and high uptake capacity, biochar has been synthesized from various biomasses and utilized as a biosorbent to remove hexavalent chromium (Cr6+) from contaminated water. Herein, activated eucalyptus biochar (AEB) was prepared via [...] Read more.
Due to its excellent textural features, non-toxicity, low cost and high uptake capacity, biochar has been synthesized from various biomasses and utilized as a biosorbent to remove hexavalent chromium (Cr6+) from contaminated water. Herein, activated eucalyptus biochar (AEB) was prepared via a pyrolysis-chemical activation process and then used as a less expensive biosorbent to adsorb Cr6+ ions from an aqueous solution. Proximate, ultimate, Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and Brunauer–Emmett–Teller (BET) analyses were employed in appraising the biosorbent characteristics. Furthermore, response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS) were applied to establish the best operating conditions. Based on the results obtained, there was little discrepancy between the observed data and the data predicted by RSM and ANFIS approaches. In terms of prediction accuracy, ANFIS (MAE = 2.512 and R2=0.9200) was superior to RSM (MAE = 2.512 and R2=0.9002). Under best-optimized conditions (initial Cr6+ concentration = 38.14 mg/L, biosorbent dosage = 1.33 g/L and pH = 4.35), which were offered by the ANFIS–ACO technique, the maximum percentage removal of 99.92 ± 0.18% was achieved. The AEB performed exceptionally well due to its better textural characteristics, well-developed porous framework, and dominance of active surface functional groups, which were confirmed by BET, SEM, and FTIR analyses. The comparison of RSM, ACO and GA for process parameter optimization has not been reported in the open literature for Cr6+ adsorption by AEB and hence has been shown in this study. Full article
(This article belongs to the Special Issue Emerging Technologies for Advanced Water Purification II)
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Review

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Review
Machine Learning Implementation in Membrane Bioreactor Systems: Progress, Challenges, and Future Perspectives: A Review
by
Zacharias Frontistis
,
Grigoris Lykogiannis
and
Anastasios Sarmpanis
Environments 2023, 10(7), 127; https://doi.org/10.3390/environments10070127 - 19 Jul 2023
Cited by 2 | Viewed by 1047
Abstract
This study offers a review of machine learning (ML) applications in membrane bioreactor (MBR) systems, an emerging technology in advanced wastewater treatment. The review focuses on implementing ML algorithms to enhance the prediction of membrane fouling, control and optimize the system, and predict [...] Read more.
This study offers a review of machine learning (ML) applications in membrane bioreactor (MBR) systems, an emerging technology in advanced wastewater treatment. The review focuses on implementing ML algorithms to enhance the prediction of membrane fouling, control and optimize the system, and predict faults early, thereby enabling the development of novel cleaning strategies. Key ML algorithms such as artificial neural networks (ANNs), support vector machines (SVMs), random forest, and reinforcement learning (RL) are briefly introduced, with an emphasis on their potential and limitations in advanced wastewater applications. The main challenges obstructing the implementation, namely data quality, interpretability, and transferability of ML, are identified. Finally, future research trends are proposed, including ML integration with big data, the Internet of Things (IoT), and hybrid model development. The review also underscores the need for interdisciplinary collaboration and investment in data management, along with the implementation of new policies addressing data privacy and security. By addressing these challenges, the integration of ML into MBRs has the potential to significantly enhance performance and reduce the energy footprint, providing a sustainable solution for advanced wastewater treatment. Full article
(This article belongs to the Special Issue Emerging Technologies for Advanced Water Purification II)
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