A novel experimental and machine learning model to remove COD in a batch reactor equipped with microalgae

A novel experimental and machine learning model to remove COD in a batch reactor equipped with microalgae

Abstract By using microorganisms and the microalgae Chlorella vulgaris in conjunction with sequencing batch reactors (SBRs), the performance of a wastewater treatment facility was studied. For this purpose, the effect of pH, temperature, $${\mathrm{COD}}_{\mathrm{inlet}}$$ COD inlet , and air flowra...

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Bibliographic Details
Main Authors: Atef El Jery, Ayesha Noreen, Mubeen Isam, José Luis Arias-Gonzáles, Tasaddaq Younas, Nadhir Al-Ansari, Saad Sh. Sammen
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:Applied Water Science
Subjects:
Sequential batch reactor (SBR)
Wastewater treatment
Microalgae
Chlorella vulgaris
Artificial neural network
Online Access:https://doi.org/10.1007/s13201-023-01957-8

Internet

https://doi.org/10.1007/s13201-023-01957-8

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