Prediction of wastewater quality indicators
This special issue belongs to |
International Journal of Prevention and Control of Industrial Pollution |
Related section |
NA |
Deadline for Manuscript Submission |
March 31st, 2023 |
Deadline for Publication |
April 15, 2023 |
Special Issue Description
Dear Collegues,
Models created utilizing data mining techniques are suggested for forecasting the following wastewater quality indicators: biochemical and chemical oxygen demand, total suspended particles, total nitrogen, and total phosphorus at the intake to the wastewater treatment plant (WWTP). The models are built using data from prior time steps and daily wastewater intakes.
Additionally, separate prediction systems are offered, which can be employed if the monitoring equipment stops working.
Artificial neural networks (ANN) of the multilayer perceptron type coupled with the categorization model (SOM), as well as cascading neural networks, were used to construct models of wastewater quality indicators (CNN).ANN+SOM produced the lowest absolute and relative error values, whereas the MARS technique yielded the greatest error values. It was demonstrated that using the two created independent prediction methods, it is possible to get continuous predictions of particular wastewater quality indicators for the examined WWTP.
When wastewater quality monitoring systems are down for repair or become inoperative, such models can guarantee dependable WWTP operation.
Keywords
*Quality indicators *Phosphorus *Artificial neural networks *Wastewater *Biochemical *Chemical oxygen demand *Nitrogen *Multilayer perceptron
Manuscript Submission information
Manuscripts should be submitted online by registering and logging in to this link. 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 on email address:[email protected] 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.