Breakthrough Curves Prediction of Selenite Adsorption on Chemically Modified Zeolite Using Boosted Decision Tree Algorithms for Water Treatment Applications

Breakthrough Curves Prediction of Selenite Adsorption on Chemically Modified Zeolite Using Boosted Decision Tree Algorithms for Water Treatment Applications

This work describes an experimental and machine learning approach for the prediction of selenite removal on chemically modified zeolite for water treatment. Breakthrough curves were constructed using iron-coated zeolite adsorbent and the adsorption behavior was evaluated as a function of an initial...

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Bibliographic Details
Main Authors: Neda Halalsheh, Odey Alshboul, Ali Shehadeh, Rabia Emhamed Al Mamlook, Amani Al-Othman, Muhammad Tawalbeh, Ali Saeed Almuflih, Charalambos Papelis
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Water
Subjects:
selenite
adsorption
breakthrough curves
machine learning
modeling
Online Access:https://www.mdpi.com/2073-4441/14/16/2519

Internet

https://www.mdpi.com/2073-4441/14/16/2519

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