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

相关论文

共 28 条

[1] Neural networks in civil engineering: 1989-2000 [J].

Adeli, H .

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2001, 16 (02) :126-142

[2] Wastewater Pollutants Modeling Using Artificial Neural Networks [J].

Al Saleh, Hadeel Ali .

JOURNAL OF ECOLOGICAL ENGINEERING, 2021, 22 (07) :35-45

[3] Forecasting the Amount of Blood Ordered in the Obstetrics and Gynaecology Ward with the Data Mining Approach [J].

Aldaghi, Tahmineh ;

Morteza, Ghasemi H. ;

Kargari, Mehrdad .

INDIAN JOURNAL OF HEMATOLOGY AND BLOOD TRANSFUSION, 2020, 36 (02) :361-367

[4]

[Anonymous], 1989, Statistical Science, DOI DOI 10.1214/SS/1177012580

[5] Artificial intelligence for management and control of pollution minimization and mitigation processes [J].

Chan, CW ;

Huang, GH .

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2003, 16 (02) :75-90

[6] New tool for evaluation of performance of wastewater treatment plant:: Artificial neural network [J].

Çinar, Ö .

PROCESS BIOCHEMISTRY, 2005, 40 (09) :2980-2984

[7] Transforming data into knowledge for improved wastewater treatment operation: A critical review of techniques [J].

Corominas, Ll. ;

Garrido-Baserba, M. ;

Villez, K. ;

Olsson, G. ;

Cortes, U. ;

Poch, M. .

ENVIRONMENTAL MODELLING & SOFTWARE, 2018, 106 :89-103

[8] Application of Artificial Neural Networks to Estimate Wastewater Treatment Plant Inlet Biochemical Oxygen Demand [J].

Dogan, Emrah ;

Ates, Asude ;

Yilmaz, Ece Ceren ;

Eren, Beytullah .

ENVIRONMENTAL PROGRESS, 2008, 27 (04) :439-446

[9]

Donaldson RG, 1996, J FORECASTING, V15, P49

[10] Ten Simple Rules to Commercialize Scientific Research [J].

Fletcher, Anthony C. ;

Bourne, Philip E. .

PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (09)