Heavy metals removal from wastewater using nanoporous adsorbent: Separation analysis via machine learning model-Reference-Cited by-同舟云学术

Heavy metals removal from wastewater using nanoporous adsorbent: Separation analysis via machine learning model

Published:2024-07 Issue: Volume:59 Page:104501
ISSN:2214-157X
Container-title:Case Studies in Thermal Engineering
language:en
Short-container-title:Case Studies in Thermal Engineering

Author:

Alali Abdulrhman Fahmi

Funder

King Saud University

Publisher

Elsevier BV

Reference25 articles.

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2. Applicability of nanomaterials in water and waste-water treatment: a state-of-the-art review and future perspectives;Makhesana;Mater. Today: Proc.,2024

3. High efficiency of drinking water treatment residual-based sintered ceramsite in biofilter for domestic wastewater treatment;Yuan;J. Environ. Manag.,2024

4. Study of adsorption capacity and mechanism of nano-alumina for arsenic ion by isothermal adsorption model simulations;Bi;Environ. Technol. Innovat.,2024

5. Linear adsorption of organic compounds on mesoporous activated carbon in bi-solute system;Liu;Heliyon,2024

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1. Optimizing arsenic removal from groundwater using continuous flow electrocoagulation with iron and aluminum electrodes: An experimental and modeling approach;Journal of Water Process Engineering;2024-09

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