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Machine learning using random forest to model heavy metals removal efficiency using a zeolite-embedded sheet in water

BACKGROUND AND OBJECTIVES: Zeolite has been recognized as a potential adsorbent for heavy metals in water. The form of zeolite that is generally available in powder has challenged the use of zeolite in the environment. Embedding powder zeolite in a nonwoven sheet, known as a zeolite-embedded sheet c...

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Principais autores: N.D. Takarina, N. Matsue, E. Johan, A. Adiwibowo, M.F.N.K. Rahmawati, S.A. Pramudyawardhani, T. Wukirsari
Format: Artigo
Sprog:Inglês
Udgivet: GJESM Publisher 2024-01-01
Serier:Global Journal of Environmental Science and Management
Fag:
adsorbent
heavy metals
random forest
removal efficiency
zeolite
Online adgang:https://www.gjesm.net/article_706365_43eab66e69bfab010e2fddd47d3776df.pdf
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