Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design

Author:

Guo Fengshi,Ren Yangmin,Zhou Yongyue,Sun Shiyu,Cui Mingcan,Khim Jeehyeong

Funder

Korea Ministry of Environment

Publisher

Elsevier BV

Reference106 articles.

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3. Effective removal of arsenate from wastewater using aluminium enriched ferric oxide-hydroxide recovered from authentic acid mine drainage;Muedi;J Hazard Mater,2021

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5. Groundwater Arsenic Remediation: Treatment Technology and Scale UP - Parimal Pal - Google 图书; n.d. 〈https://books.google.co.kr/books?hl=zh-CN&lr=&id=QOecBAAAQBAJ&oi=fnd&pg=PP1&dq=groundwater+arsenic+remediation&ots=3W7qGhMJZa&sig=bWX6Uvohw8fhZKJ0BKdDTaa1wRY&redir_esc=y#v=onepage&q=groundwater %20arsenic %20remediation&f=false〉 (Accessed 17 November 2023).

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