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

被引：4
作者：
Aldaghi, Tahmineh [1 ]
Javanmard, Shima [1 ]
机构：
[1] Tarbiat Modares Univ, Tehran, Iran
来源：
JOURNAL OF ENGINEERING DESIGN AND TECHNOLOGY | 2023年 / 21卷 / 06期
关键词：
Data mining; Wastewater treatment plant; Effluents; Removed efficiency; Neural network; Regression; Artificial intelligence; Environmental; Quality and health and safety issues; ARTIFICIAL NEURAL-NETWORKS; SUSPENDED-SOLIDS; PREDICTION; MANAGEMENT; MODEL;
D O I：
10.1108/JEDT-07-2021-0394
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：1785 / 1802
页数：18
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