Integrating advanced techniques and machine learning for landfill leachate treatment: Addressing limitations and environmental concerns-Reference-Cited by-同舟云学术

Integrating advanced techniques and machine learning for landfill leachate treatment: Addressing limitations and environmental concerns

Published:2024-08 Issue: Volume:354 Page:124134
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Gaur Vivek Kumar^ORCID,Gautam Krishna,Vishvakarma Reena,Sharma Poonam,Pandey Upasana,Srivastava Janmejai Kumar,Varjani Sunita^ORCID,Chang Jo-Shu^ORCID,Ngo Huu Hao,Wong Jonathan W.C.

Funder

School of Energy and Environment, City University of Hong Kong

City University of Hong Kong

University of Petroleum and Energy Studies

Publisher

Elsevier BV

Reference175 articles.

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2. Landfill leachate: sources, nature, organic composition, and treatment: an environmental overview;Abdel-Shafy;Ain Shams Eng. J.,2024

3. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill;Abunama;Environ. Sci. Pollut. Control Ser.,2019

4. Targeted removal of organic foulants in landfill leachate in forward osmosis system integrated with biochar/activated carbon treatment;Aftab;Water Res.,2019

5. Studying interactive effects of operational parameters on continuous bipolar electrocoagulation–flotation process for treatment of high-load compost leachate;Amani;Int. J. Environ. Sci. Technol.,2015

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