Mathematical and Statistical Modeling Methods in Wastewater Treatment
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".
Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 447
Special Issue Editor
Special Issue Information
Dear Colleagues,
Mathematical and statistical modeling of the wastewater treatment process has gained increased interest and use for its numerous benefits in various domains such as plant design, process optimization, operational management, and system control. Mathematical modeling can test hypotheses about the system, convey system knowledge among engineers, and predict future system states. Accurate modeling technologies have become more important in interpreting wastewater treatment processes and identifying microorganisms' complex biological interactions in response to diverse pollutants and their associated regulations for a sustainable environment.
This Special Issue of the journal Water, “Mathematical and Statistical Modeling Methods in Wastewater Treatment”, aims to cover the development and application of modeling methods in wastewater treatment, including mathematical, statistical, and artificial intelligence (AI) approaches. Several major topics include:
- Modeling, numerical analysis, and simulation;
- Biological, physical, and chemical phenomena modeling;
- Mathematical programming;
- Statistical process analysis;
- Wastewater treatment process operation and management;
- Water digitalization, data analytics, and water informatics;
- Novel technologies and their applications for control and optimization.
The topics are not limited to mathematical and statistical modeling; other topics related to wastewater treatment modeling and computing technologies are welcome.
Dr. Kijeon Nam
Guest Editor
Manuscript Submission Information
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Keywords
- wastewater treatment
- mathematical modeling
- statistcal modeling
- process modeling
- biological and chemical modeling
- modeling
- computer-aided engineering
- simulation
- optimization
- process automation
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