Modeling of wastewater treatment plant in Hama city using regression and regression trees
Journal Title: Environmental Health Engineering and Management Journal - Year 2023, Vol 10, Issue 3
Abstract
Background: Modeling of wastewater treatment plants is necessary to predict their later works. In this research, three methods were compared to predict some parameters at the outlet of wastewater treatment plant in Hama city in Syria. Methods: In this paper, three methods (linear regression, power regression, and regression trees) to model wastewater treatment plant in Hama city were compared to predict the parameters at the outlet of the plant (cBOD5out, CODout, TSSout) in terms of the parameters at the inlet of the plant (Qin, cBOD5in, COD in, TSSin). Results: When predicting cBOD5out, the values of RMSE of the test data set were 4.4105, 4.3875, and 3.8418; when predicting CODout, the values of RMSE of the test data set were 6.9325, 6.8003, and 5.3232; and when predicting TSSout, the values of root mean squared error (RMSE) of the test data set were 3.7781, 3.6936, and 3.2391 using linear regression, power regression, and regression trees (RTs), respectively. Conclusion: According to the results, the RTs outperforms in predicting cBOD5out, CODout, and TSSout because this method achieved the least RMSE of the test data set.
Authors and Affiliations
Heba Bodaka, Nahed Farhoud, Eyad Hlali
Keywords
Related Articles
- EP ID EP720883
- DOI 10.34172/EHEM.2023.33
- Views 34
- Downloads 0
COVID-19 control management in central corona hospitals using SWOT and QSPM matrices: A case study in Kashan central hospitals
Background: During the COVID-19 pandemic, hospitals have been the most important centers for the virus spread. Therefore, this study aimed to evaluate the management of infection control in central corona hospitals in Ka...
Removal of styrene by the synthesized ZnO nanoparticles coated on the activated carbon adsorbent in the presence of UV irradiation
Background: Volatile organic compounds are the major environmental pollutants causing adverse effects on the human health and the environment, therefore, tremendous effort has been put toward eliminating these compound...
High-efficient removal of tetrabromobisphenol A from waste mobile phone printed circuit boards leached solution by micellar enhanced ultrafiltration
Background: Tetrabrombisphenol A (TBBPA) is one of the major brominated flame retardants (BFRs) used in waste mobile phone printed circuit boards (WMPPCB) that accounts for approximately 60% of the total BFR market. M...
Screening of camphene as a potential inhibitor targeting SARSCoV- 2 various structural and functional mutants: Through reverse docking approach
Background: SARS-CoV was first identified in 2003 but SARS-CoV-2, which gained its recognition again in 2019 as COVID-19, has been a crucial threat worldwide and has caused more death rates than the SARS-CoV but till n...
Occurrence and characteristics of microplastics in surface water and sediment of Zayandeh-rud river, Iran
Background: Zayandeh-rud river is the most important river in the central regions of Iran and the present study aimed to provide new insights into microplastics (MPs) pollution in surface water and sediments of this ri...