Analysis of Response Surface and Artificial Neural Network for Cr(Ⅵ) Removal Column Experiment
Analysis of Response Surface and Artificial Neural Network for Cr(Ⅵ) Removal Column Experiment
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Author / Creator
Ren, Zhongyu , Li, Zhicong , Tang, Haokai , Yang, Lin , Zhu, Jinrun and Jing, Qi
Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
In this study, inexpensive, environmentally friendly, and biodegradable cellulose filter paper was used to load nano zero-valent iron (nZVI), effectively improving the dispersibility of nZVI and successfully preparing the supported modified cellulose filter paper (FP-nZVI). Subsequently, the capacity of FP-nZVI to remove Cr(VI) in a flow system was...
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Full title
Analysis of Response Surface and Artificial Neural Network for Cr(Ⅵ) Removal Column Experiment
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TN_cdi_proquest_journals_3194654403
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3194654403
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ISSN
2073-4441
E-ISSN
2073-4441
DOI
10.3390/w17081211