The evaluation of wastewater treatment plant performance: a data mining approach
Journal of Engineering, Design and Technology
ISSN: 1726-0531
Article publication date: 28 October 2021
Issue publication date: 21 November 2023
Abstract
Purpose
This paper aims to evaluate the performance of the Mashhad No. 5 wastewater treatment plant (WWTP) using a combination of data mining (regression) algorithms and artificial neural networks.
Design/methodology/approach
In this research, the performance of WWTP located in Mashhad, Iran, has been evaluated using two data mining models, neural network and regression model.
Findings
The proposed model has the potential of implementing in other WWTPs in Iran or other countries.
Originality/value
The authors would also like to thank Mashhad No.5 WWTP for data access.
Keywords
Acknowledgements
Authors would also like to thank Mashhad No.5 WWTP for data access.
Availability of data and materials:
These data are available.
Consent for publication:
Publication is permitted by authors.
Competing interests.
All authors have no conflicts of interest to disclose.
Funding.
The author(s) received no financial support for the research, authorship and/or publication of this article.
Authors’ contributions.
Study conception and design: Tahmineh Aldaghi, Shima Javanmard.
Acquisition of data: Tahmineh Aldaghi, Shima Javanmard.
Analysis and interpretation of data: Tahmineh Aldaghi, Shima Javanmard.
Drafting of manuscript: Tahmineh Aldaghi, Shima Javanmard.
Critical revision: Tahmineh Aldaghi, Shima Javanmard.
Citation
Aldaghi, T. and Javanmard, S. (2023), "The evaluation of wastewater treatment plant performance: a data mining approach", Journal of Engineering, Design and Technology, Vol. 21 No. 6, pp. 1785-1802. https://doi.org/10.1108/JEDT-07-2021-0394
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited