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Innovations in Water Quality Improvement Technologies: Current Advances and Future...
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Innovations in Water Quality Improvement Technologies: Current Advances and Future Directions

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1031

Special Issue Editors

Dr. Tahereh Jafary

E-Mail Website
Guest Editor
International Maritime College, National University of Science and Technology, Sohar 321, Oman
Interests: advanced wastewater treatment technologies; bioelectrochemical systems; value-added recovery from wastewater; desalination
Dr. Mohammad Reza Nikoo

E-Mail Website
Guest Editor
Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman
Interests: graph modeling for conflict resolution; water resource allocation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Water quality is a critical global issue that affects human health, the environment, and the economy. The increase in pollution levels and the growing demand for clean water have led to the development of various water-treatment technologies. In recent years, technological advancements have provided new opportunities to improve the effectiveness and efficiency of water-quality-improvement technologies.

In this Special Issue, we aim to bring together cutting-edge research and innovations on developing new water-treatment technologies and their applications in addressing emerging pollutants and other water-quality challenges. Hence, we invite original research articles, reviews, and perspectives on developing and applying advanced technologies for water treatment and pollution control. The topics of interest include but are not limited to:

  • Novel water-treatment processes and technologies;
  • Membrane-filtration and desalination techniques;
  • Modeling and optimization of water-treatment processes;
  • Internet of Things (IoT)-based smart wastewater-treatment model; 
  • Advanced oxidation processes for water disinfection and contaminant removal;
  • Sustainable and eco-friendly approaches to water treatment;
  • Technologies for removal of emerging contaminants in wastewater;
  • Application of machine-learning (ML) techniques to model wastewater treatment;
  • Applications of nanotechnology in water treatment;
  • Advanced in sludge and biosolid treatment;
  • Applications of bioelectrochemical technologies in water treatment.

The ultimate goal of this Special Issue is to provide a platform for researchers, engineers, and policymakers to share their latest findings and insights, and to foster interdisciplinary collaborations in the field of water-quality-improvement technology.

We look forward to receiving your contributions. 

Dr. Tahereh Jafary
Dr. Mohammad Reza Nikoo
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

  • water quality
  • advanced water-related technologies
  • sustainability
  • machine learning
  • Internet of Things (IoT)
  • nanotechnology
  • bioelectrochemical systems
  • optimization
  • wastewater treatment

Published Papers (1 paper)

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Research

13 pages, 3916 KiB  
Article
Utilising eDNA Methods and Interactive Data Dashboards for Managing Sustainable Drinking Water
by Sophie E. Watson, Charlotte H. Taylor, Veronica Bell, Annalise S. Hooper, Thomas R. Bellamy, Peter Kille and Rupert G. Perkins
Sustainability 2024, 16(5), 2043; https://doi.org/10.3390/su16052043 - 29 Feb 2024
Viewed by 626
Abstract
Generating rapid, easy-to-interpret community data for drinking reservoirs as a means of tackling water quality management is of increasing demand within the water industry. Taste and odour (T&O) is one of many increasing concerns to water companies worldwide, incurring huge costs as customer [...] Read more.
Generating rapid, easy-to-interpret community data for drinking reservoirs as a means of tackling water quality management is of increasing demand within the water industry. Taste and odour (T&O) is one of many increasing concerns to water companies worldwide, incurring huge costs as customer complaints accumulate and additional treatment and resource management are required. However, there remains a two-fold issue in addressing T&O management: firstly, predicting the initial onset of a T&O event relies on a highly complex understanding of environmental considerations and their interaction with T&O-related taxa, and secondly, there remains a lag between the notification of a T&O event and the resolution of the issue by reservoir management staff. This is partly due to slow, low-resolution methods of detecting and reliably identifying problem taxa in samples. These methods are unable to provide information on the huge plethora of taxa related to T&O metabolite production and often cannot provide data in a timely enough manner for an opportune management response. This means the water industry is often forced to use a reactive, rather than proactive, approach to water quality monitoring. Here, we present methods for implementing a high-throughput sequencing approach to monitoring drinking reservoirs for water quality and improving the sustainability of water supplies, as well as methods for presenting these data on easy-to-interpret data dashboards that can be updated rapidly as new data are generated. Our methods and dashboarding approaches are currently being trialled and tested within the UK water industry, and so here, we show anonymised examples of those data presentations. We propose that these methods can greatly aid reservoir management teams in their approach to T&O monitoring and can be used to implore more sustainable management pipelines, safeguarding future water sources. Full article
(This article belongs to the Special Issue Innovations in Water Quality Improvement Technologies: Current Advances and Future Directions)
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