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 |
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Uncontrolled Keywords: | artificial intelligence; data mining; effluents; environmental; neural network; quality and health and safety issues; regression; removed efficiency; wastewater treatment plant |
Date Deposited: | 11 Apr 2025 17:38 |
Last Modified: | 11 Apr 2025 17:38 |