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Water Pollution and Risk Assessment

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

Deadline for manuscript submissions: closed (31 January 2025) | Viewed by 988

Special Issue Editors


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Guest Editor
Department of Environmental Science, Zhejiang University, Hangzhou 310000, China
Interests: aquatic ecotoxicology; health risk assessment

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Guest Editor
College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China
Interests: fish nutrition; fish farming; microplastics
Institute for Positive Psychology and Education, Australian Catholic University, Brisbane 4001, Australia
Interests: computational intelligence; forecasting; optimizations; educational data science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce the launch of a Special Issue on “Water Pollution and Risk Assessment” in Sustainability (IF: 3.889), with the aim of contributing to the publication of high-quality research on all of the main aspects of water pollution investigation and human health assessment.

With the increase in human interference with nature, environmental pollution is posing serious challenges, especially in water environments. At present, pollutants are emerging in the global marine environment, which not only pose potential hazards to aquatic organisms but also indirectly affect human health. What is more, the assessment of the interaction between pollutants and compound biological effects also deserves high priority. Increasing attention to these sectors has led to a better understanding of the challenges posed by water pollution and the need to assess its impact on human health.

This Special Issue (SI) will focus on the issues associated with the emergence of current water pollutants, further health risk assessment, and corresponding solutions associated with the alleviation of water pollution. Submissions of original and high-quality research on all relevant branches are strongly encouraged. Topics of interest for this SI include but are not limited to:

  • Investigation of water pollution
  • Health risk assessment of the effect of pollutants on organisms
  • Interaction between/among pollutants
  • Compound biological effects of pollutants on organisms
  • Corresponding solutions associated with the alleviation of water pollution
  • Data analysis and modeling for water pollution

Dr. Chaonan Zhang
Prof. Dr. Jixing Zou
Dr. Jinran Wu
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 pollution
  • human health
  • risk assessment
  • compound biological effects
  • interaction
  • investigation
  • data analysis
  • pollution treatment

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Published Papers (1 paper)

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Research

25 pages, 12233 KiB  
Article
Sustainable Water Quality Evaluation Based on Cohesive Mamdani and Sugeno Fuzzy Inference System in Tivoli (Italy)
by Francesco Bellini, Yas Barzegar, Atrin Barzegar, Stefano Marrone, Laura Verde and Patrizio Pisani
Sustainability 2025, 17(2), 579; https://doi.org/10.3390/su17020579 - 13 Jan 2025
Viewed by 639
Abstract
Clean water is vital for a sustainable environment, human wellness, and welfare, supporting life and contributing to a healthier environment. Fuzzy-logic-based techniques are quite effective at dealing with uncertainty about environmental issues. This study proposes two methodologies for assessing water quality based on [...] Read more.
Clean water is vital for a sustainable environment, human wellness, and welfare, supporting life and contributing to a healthier environment. Fuzzy-logic-based techniques are quite effective at dealing with uncertainty about environmental issues. This study proposes two methodologies for assessing water quality based on Mamdani and Sugeno fuzzy systems, focusing on water’s physiochemical attributes, as these provide essential indicators of water’s chemical composition and potential health impacts. The goal is to evaluate water quality using a single numerical value which indicates total water quality at a specific location and time. This study utilizes data from the Acea Group and employs the Mamdani fuzzy inference system combined with various defuzzification techniques as well as the Sugeno fuzzy system with the weighted average defuzzification technique. The suggested model comprises three fuzzy middle models along with one ultimate fuzzy model. Each model has three input variables and 27 fuzzy rules, using a dataset of nine key factors to rate water quality for drinking purposes. This methodology is a suitable and alternative tool for effective water-management plans. Results show a final water quality score of 85.4% with Mamdani (centroid defuzzification) and 83.5% with Sugeno (weighted average defuzzification), indicating excellent drinking water quality in Tivoli, Italy. Water quality evaluation is vital for sustainability, ensuring clean resources, protecting biodiversity, and promoting long-term environmental health. Intermediate model evaluations for the Mamdani approach with centroid defuzzification showed amounts of 72.4%, 83.4%, and 92.5% for the first, second, and third fuzzy models, respectively. For the Sugeno method, the corresponding amounts were 76.2%, 83.5%, and 92.5%. These results show the precision of both fuzzy systems in capturing nuanced water quality variations. This study aims to develop fuzzy logic methodologies for evaluating drinking water quality using a single numerical index, ensuring a comprehensive and scalable tool for water management. Full article
(This article belongs to the Special Issue Water Pollution and Risk Assessment)
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