The evaluation of wastewater treatment plant performance: A data mining approach

Aldaghi, T and Javanmard, S (2023) The evaluation of wastewater treatment plant performance: A data mining approach. Journal of Engineering, Design and Technology, 21(6), pp. 1785-1802. ISSN 1726-0531

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.

Item Type: Article
Uncontrolled Keywords: artificial intelligence; data mining; effluents; environmental; neural network; quality and health and safety issues; regression; removed efficiency; wastewater treatment plant
Index terms: artificial intelligence, efficiency, regression model, data mining, methodology, health and safety issues, neural network, artificial neural network
Subjects: artificial intelligence, data science, modelling and simulation, statistical analysis, occupational health and safety management, performance management, research methods
Topics: Digital Applications, Quality Management, Health and Safety, Research Practice
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here