Reactive Species and Chemical Transformation in Water Treatment Systems
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".
Deadline for manuscript submissions: 10 October 2026 | Viewed by 191
Editors
Interests: wastewater treatment; ecological restoration; water management; environmental risk assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advanced oxidation processes (AOPs) are the core technology for degrading refractory pollutants in wastewater, and their mechanism relies on the generation, migration, and transformation of reactive species and their reaction processes with pollutants in wastewater. However, several challenges, including the difficulty in precisely regulating reactive species transformation, unclear reaction mechanisms, inefficient catalyst screening, and ambiguous pollutant degradation pathways, have limited the development of AOPs. Artificial intelligence (AI) and machine learning (ML), with their capabilities in data mining, nonlinear fitting, intelligent prediction, and parameter optimization, provide a new approach to solving these problems. This Special Issue focuses on the theoretical innovation and empirical analysis of AI and ML in the field of AOPs for wastewater treatment. The specific research scope includes, but is not limited to, the following:
- Developing efficient detection technologies for reactive species and constructing multi-dimensional datasets.
- Utilizing the Internet of Things (IoT) technology to realize real-time collection of wastewater quality, reactive species concentration, and pollutant concentration.
- Employing interpretable AI algorithms to analyze the effects of different factors on the transformation of reactive species and the degradation of pollutants.
- Optimizing the generation efficiency of reactive species using AI/ML to improve the degradation effect of wastewater pollutants.
- Establishing correlation models between the microstructure of catalysts, the micro-mechanism of reactive species transformation, and the macro-degradation effect by means of AI/ML technologies.
Dr. Junyuan Guo
Dr. Jie Yang
Guest Editors
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Keywords
- advanced oxidation processes
- reactive species
- transformation chemistry
- reaction mechanisms
- catalyst screening
- degradation pathways
- artificial intelligence
- machine learning
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