Machine learning exploration of the direct and indirect roles of Fe impregnation on Cr(VI) removal by engineered biochar
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A85815" target="_blank" >RIV/60460709:41330/22:85815 - isvavai.cz</a>
Result on the web
<a href="https://en.x-mol.com/paper/article/1432076311333683200" target="_blank" >https://en.x-mol.com/paper/article/1432076311333683200</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/10643389.2021.1955601" target="_blank" >10.1080/10643389.2021.1955601</a>
Alternative languages
Result language
angličtina
Original language name
Machine learning exploration of the direct and indirect roles of Fe impregnation on Cr(VI) removal by engineered biochar
Original language description
Data mining and knowledge discovery by machine learning (ML) have recently come into application in environmental remediation, especially the exploration for the multifactorial process such as hexavalent chromium Cr(VI) removal by iron-biochar composite (Fe-BC). The Cr(VI) removal capacity of Fe-BC was concurrently controlled by impregnated iron species (Fe0 Fe2+ Fe3+), carbon properties, and iron-carbon interactions, while the current lab-scale research could hardly untangle the overall relationships with the Cr(VI) removal experiments of one or several Fe-BCs under different research frameworks. Herein, we investigated the impacts of various microscopic material properties of Fe-BC on aqueous Cr(VI) removal by ML approach and highlighted the variations of biochar properties after iron impregnation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
<a href="/en/project/GC21-23794J" target="_blank" >GC21-23794J: Performance comparison of innovative metal(loid) nanosorbents in smelter-polluted soils: Geochemical and ecotoxicological benchmarks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
CHEMICAL ENGINEERING JOURNAL
ISSN
1385-8947
e-ISSN
1873-3212
Volume of the periodical
428
Issue of the periodical within the volume
131967
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
1-9
UT code for WoS article
000730619800005
EID of the result in the Scopus database
2-s2.0-85113914269