Application of artificial neural network and dynamic adsorption models to predict humic substances extraction from municipal solid waste leachate

Application of artificial neural network and dynamic adsorption models to predict humic substances extraction from municipal solid waste leachate

Abstract Sustainable municipal solid waste leachate (MSWL) management requires a paradigm shift from removing contaminants to effectively recovering resources and decreasing contaminants simultaneously. In this study, two types of humic substances, fulvic acid (FA) and humic acid (HA) were extracted...

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Bibliographic Details
Main Authors: Salimeh Rezaeinia, Ali Asghar Ebrahimi, Arash Dalvand, Mohammad Hassan Ehrampoush, Hossien Fallahzadeh, Mehdi Mokhtari
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-39373-2

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