Litcius/Paper detail

Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural network

Ashutosh Kumar Pandey, Jungsu Park, Alice Muhorakeye, Raj Morya, Sang–Hyoun Kim

2023Bioresource Technology13 citationsDOI

Topics & Concepts

AcidogenesisHydraulic retention timeBiodegradationYield (engineering)HydrolysisPulp and paper industryActivated sludgeChemistryWastewaterEnvironmental scienceAnaerobic digestionEnvironmental engineeringBiochemistryMaterials scienceOrganic chemistryEngineeringMethaneMetallurgyAnaerobic Digestion and Biogas ProductionWastewater Treatment and Nitrogen Removal
Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural network | Litcius