Analytical Methodology, Environmental Behavior and Risk Assessment of New Organic Pollutants
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Contamination".
Deadline for manuscript submissions: 20 January 2025 | Viewed by 2205
Special Issue Editors
Interests: advanced oxidation technology; control of emerging contaminants; water chemistry; radicals; photolysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A global rise in population and increased urbanization have resulted in growing pressure on freshwater resources. Known and unknown organic pollutants have exacerbated water stress and water risk throughout the world. Furthermore, their transformation products are potentially harmful to the environment. A good understanding of the cause, fate and hazards of these new organic pollutants should be considered as part of the sustainable solution to the ongoing water crisis. Improving sensitive analytical methods is vital to accurately measuring these pollutants’ levels in various water matrices. Global research focusing on the prevention and treatment of organic pollution is ongoing, particularly studies on improving water monitoring, non-target screening, the use of mathematical and machine learning modeling for source identification or pollution prediction and the assessment of ecological and health risk.
The present Special Issue intends to bring together recent research exploring the potential of advanced technologies for the analysis and assessment of new organic pollutants. Fundamental and applied research covering multidisciplinary topics, as well as review papers focusing on relevant topics, are welcome. Topics of interest includes, but are not limited to, the following:
- Analysis and the fate of emerging contaminants.
- Source identification of new organic pollutants.
- Occurrence of new organic pollutants in non-conventional water resources (e.g., rainwater and seawater).
- Mathematical and machine learning modeling.
- Applications of deep learning techniques in new organic pollutant monitoring and predictions.
- Ecological and health risk
- (Eco)toxicity assessment of new organic pollutants.
- Targeted strategies for the management and prevention of pollution.
- Engineering applications of innovative water treatments.
Dr. Zihao Wu
Dr. Zhechao Hua
Guest Editors
Manuscript Submission Information
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Keywords
- emerging contaminants
- environmental toxicology
- modeling environmental behavior
- advanced water treatment technologies
- deep learning techniques
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