Machine learning enhanced aeration systems for optimizing oxygen transfer efficiency for sustainable and safe wastewater management

Abstract This study models oxygen-transfer efficiency (OTE) in circular solid-jet aerators using a laboratory dataset of 320 observations collected under controlled conditions. Experiments varied jet count (1–8), opening area (49.24–124.03 mm²), jet length (170–470 mm), and discharge (1.05–3.04 l s⁻...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Bishnu Kant Shukla, Arun Goel, Pushpendra Kumar Sharma, Parveen Sihag, Anoop Kumar Shukla
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-12-01
Serie:	Scientific Reports
Soggetti:	Machine learning (ML) Oxygen transfer efficiency Random forest Artificial intelligence (AI) Environmental safety Wastewater treatment
Accesso online:	https://doi.org/10.1038/s41598-025-27583-9
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!