Modeling for prediction and optimization of heavy metals removal from water using modified sand filtration: Response surface methodology (RSM)

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SPIRE - Sciences Po Institutional REpository
Published
2024-11-10
Primary Topic
Water Quality Monitoring and Analysis
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article
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article

Modeling for prediction and optimization of heavy metals removal from water using modified sand filtration: Response surface methodology (RSM)

Mohsen Taghavijeloudar, Saeed Reza Khodashenas, H. Ganji
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SPIRE - Sciences Po Institutional REpository
Water Quality Monitoring and Analysis
article

Modeling for prediction and optimization of heavy metals removal from water using modified sand filtration: Response surface methodology (RSM)

Mohsen Taghavijeloudar, Saeed Reza Khodashenas, H. Ganji
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Seoul National University (KR), Ferdowsi University of Mashhad (IR)
Clean water and sanitation
Openalex Percentile: Top 70%
Water Quality Monitoring and Analysis
Open Access PDFOpenAlex
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Modeling for prediction and optimization of heavy metals removal from water using modified sand filtration: Response surface methodology (RSM) — Mohsen Taghavijeloudar, Saeed Reza Khodashenas, et al. · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS