Assessment of removal rate coefficient in vertical flow constructed wetland employing machine learning for low organic loaded systems

[Display omitted] •Areal removal rate coefficients (k20) of LOLVFCWs showed huge deviations up to 130%•Dataset classification could not reduce the variations satisfactorily.•Novel machine learning based approach adopted to suggest optimum area in LOLVFCWs.•SVR (R2 = 0.87–0.90) could better predict e...

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Veröffentlicht in:	Bioresource technology 2023-05, Vol.376, p.128909-128909, Article 128909
Hauptverfasser:	Soti, Abhishek, Singh, Saurabh, Verma, Vishesh, Mohan Kulshreshtha, Niha, Brighu, Urmila, Kalbar, Pradip, Bhushan Gupta, Akhilendra
Format:	Artikel
Sprache:	eng
Schlagworte:	data collection Environmental Pollutants Kikuth kinetic approach Low organic loading vertical flow constructed wetland nitrogen Nitrogen - analysis Nutrients Remediation efficiency Removal rate coefficient surface area technology temperature Waste Disposal, Fluid Wetlands
Online-Zugang:	Volltext
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