Adsorption Technologies in Wastewater Treatment Processes
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".
Deadline for manuscript submissions: 25 June 2025 | Viewed by 88
Special Issue Editors
Interests: adsorption; nutrient recovery; modeling; heavy metals; wastewater treatment
Special Issues, Collections and Topics in MDPI journals
Interests: heavy metals; antibiotics; nutrient recovery; wastewater; soil; groundwater
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The process of adsorption plays a crucial role in water and wastewater treatment. It can effectively reduce the concentration of harmful substances in water by attaching the various pollutants (heavy metals, nutrients, organic matters, and dyes, etc.) to adsorbent surfaces. In practice, adsorption technology can not only improve the quality of drinking water and protect human health but also play an important role in industrial wastewater treatment, sewage reuse, and seawater desalination, etc. Adsorption has the advantages of being a simple operation, with relatively low cost, strong adaptability, and it even allows for the complete removal of micropollutants, making it extremely important in solving water pollution issues, ensuring water resource security, and achieving sustainable development. Through the continuous improvement and optimization of adsorbents, the efficiency and economy of adsorption technology are constantly improving, providing new opportunities for innovative development in the water treatment industry. The topics of this Special Issue include, but are not limited to, the following:
- adsorption technology and its combination process;
- various water pollutants, regardless of organic or inorganic substances;
- surface water, groundwater, sea water, drinking water, industrial wastewater, etc.;
- emerging contaminants;
- various modification, optimization, modeling, regeneration methods;
- machine learning, artificial neural network, deep learning, etc.;
- novel adsorption materials and their characterization.
Dr. Qili Hu
Dr. Liting Hao
Guest Editors
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Keywords
- adsorption
- modeling
- optimization
- novel materials
- emerging contaminants
- recovery
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