Cited by 104Advanced oxidation water treatmentCoagulation and Flocculation StudiesWater Treatment and Disinfection

Electrochemical Water Treatment Methods

Sillanpää, Mika, Shestakova, Marina·2017·Electrochemical Water Treatment Methods

Integrity signals

Registry

Crossref · 10.1016/b978-0-12-811462-9.00002-5

Cites

130 of 130 references verified0 citation errors · 0 not checkable

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  • The mechanism of EF is mainly based on carrying out water electrolysis on insoluble electrodes, while the flotation effect is introduced to facilitate the treatment process.

    “The mechanism of EF is mainly based on carrying out water electrolysis on insoluble electrodes, while the flotation effect is introduced to facilitate the treatment process 106 , as sketched in Fig. 7d.”

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Authors
Sillanpää, M., & Shestakova, M.
Affiliations
Lappeenranta-Lahti University of Technology (FI)
Venue
Electrochemical Water Treatment Methods
Publisher
Elsevier
Published
2017
Pages
47-130
OpenAlex
W2752063501
Cited by
104
References
130
Citations by year
2026: 6 · 2025: 12 · 2024: 18 · 2023: 14 · 2022: 14 · 2021: 17 · 2020: 11 · 2019: 9 · 2018: 1 · 2017: 2
FWCI
19.08
Type
book chapter
Language
en
Open access
closed
Locations
Elsevier eBooks (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Advanced oxidation water treatment
  • Physical Sciences › Environmental Science › Water Science and Technology › Coagulation and Flocculation Studies
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Water Treatment and Disinfection
Keywords
electrochemical water treatment, electrochemical oxidation, electrochemical reduction, water disinfection, cyanide removal, sulfide removal, metal recovery, persistent organic compounds, electrocoagulation, electroflotation, electrodialysis, desalination, wastewater treatment, suspended solids removal

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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