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Sustainable Solution for Water: Wastewater Treatment and Advanced Water Purification Technologies

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".

Deadline for manuscript submissions: closed (10 October 2024) | Viewed by 3120

Special Issue Editors


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Guest Editor
Department for Nanostructured Materials, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Interests: chemistry; environmental engineering; water pollution; wastewater management; water and wastewater treatment; photoelectrocatalysis; synthesis of photoelectrocatalysts; photoelectrocatalysts immobilization
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Guest Editor
Department of Chemical and Food Engineering, Federal University of Santa Catarina, Florianópolis 88040-970, Brazil
Interests: environmental engineering; water pollution; wastewater management; water and wastewater treatment; adsorption; production and characterization of adsorbent materials; ion exchange; membrane processes; water-soluble organic removal; petrochemical wastewater treatment

Special Issue Information

Dear Colleagues,

The ongoing impact of human activities on water quality remains a persistent concern, with widespread environmental pollution occurring daily across the globe. This critical situation is primarily attributed to the continuous discharge of resilient waste from various sources, including domestic use, industries, and agriculture. The outdated treatment technologies in place have only served to exacerbate the problem, exhibiting issues such as poor efficiency, high operating costs, low sustainability, and adverse environmental effects.

In response to these challenges, our upcoming Special Issue aims to present a comprehensive overview of the state-of-the-art advancements and challenges in the realm of water and wastewater treatment technologies for purification and/or recovery. Specifically, the edition will delve into the roles and prospects of various treatment techniques, covering aspects such as physico-chemical processes (e.g., adsorption, ion exchange, membrane processes), advanced oxidation/reduction processes (e.g., heterogeneous catalysis, UV/H2O2, Fenton oxidation), biological processes (e.g., anaerobic digestion, aerobic process, biofilm process), and process intensification.

Furthermore, the Special Issue will extend its focus to encompass key areas, including nanotechnology and nanomaterials, potable and non-potable water reuse, urban hydrology (covering sewer systems, stormwater management, and green infrastructure), drinking water treatment and distribution, and the monitoring, fate, and assessment of contaminants (chemical, microbial, or anthropogenic particles like microplastics or nanoparticles). Additionally, the edition will explore resource recovery and residual management.

We welcome your valuable contributions to this Special Issue, seeking insights and innovations that can propel us toward more effective wastewater management and recovery solutions.

Best regards,

Dr. Belisa Alcantara Marinho
Dr. Luciana Prazeres Mazur
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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

  • adsorption
  • membrane processes
  • advanced oxidation/reduction processes
  • ozonation
  • sonolysis
  • electrochemical treatment
  • anaerobic digestion
  • aerobic process
  • membrane bioreactor
  • process intensification
  • nanotechnology
  • nanomaterials
  • water reuse

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Published Papers (1 paper)

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Research

21 pages, 4952 KiB  
Article
Predicting the Influence of Ammonium Toxicity Levels in Water Using Fuzzy Logic and ANN Models
by Yuliia Trach, Roman Trach, Pavlo Kuznietsov, Alla Pryshchepa, Olha Biedunkova, Agnieszka Kiersnowska and Ihor Statnyk
Sustainability 2024, 16(14), 5835; https://doi.org/10.3390/su16145835 - 9 Jul 2024
Cited by 17 | Viewed by 2647
Abstract
The study aimed to address the complex and critical issue of surface water quality monitoring by proposing a diversified approach that incorporates a range of chemical indicators. (1) Background: the purpose of the study was to address the problem of surface water quality [...] Read more.
The study aimed to address the complex and critical issue of surface water quality monitoring by proposing a diversified approach that incorporates a range of chemical indicators. (1) Background: the purpose of the study was to address the problem of surface water quality monitoring in relation to the toxic effects of ammonium on aquatic ecosystems by developing predictive models using fuzzy logic and artificial neural networks. (2) Water samples from the Styr River, influenced by the Rivne Nuclear Power Plant, were analyzed using certified standard methods and measured parameters, while fuzzy logic and artificial neural network models, including Mamdani’s algorithm and various configurations of activation functions and optimization algorithms, were employed to assess water quality and predict ammonium toxicity. (3) A fuzzy logic system was developed to classify water quality based on ammonia content and other parameters, and six Artificial Neural Network (ANN) models were tested, with the ANN#2 model (using ReLU activation and ADAM optimizer) showing the best performance. (4) This study emphasizes the critical need for precise monitoring and modeling of total ammonium in surface water, considering its variable toxicity and interactions with environmental factors, to effectively protect aquatic ecosystems, namely ichthyofauna. Full article
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