Cited by 151Advanced oxidation water treatmentWater Treatment and DisinfectionPer- and polyfluoroalkyl substances research

A mechanistic understanding of the degradation of trace organic contaminants by UV/hydrogen peroxide, UV/persulfate and UV/free chlorine for water reuse

Li, Wei, Jain, Tushar, Ishida, Kenneth, Liu, Haizhou·2017·Environmental Science: Water Research & Technology

Abstract

Climate change and population growth pose increasing challenges to the availability of freshwater resources.

Integrity signals

Registry

Crossref · 10.1039/c6ew00242k

Cites

69 of 69 references verified0 citation errors · 0 not checkable

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Authors
Li, W., Jain, T., Ishida, K., & Liu, H.
Affiliations
  • University of California, Riverside (US)
  • Orange County Water District
Corresponding author
Liu, Haizhou
Venue
Environmental Science: Water Research & Technology
Published
2017
Volume
3
Issue
1
Pages
128-138
ISSN
  • 2053-1400 (ISSN-L)
  • 2053-1419
OpenAlex
W2536311555
Cited by
151
References
69
Citations by year
2026: 1 · 2025: 14 · 2024: 17 · 2023: 25 · 2022: 26 · 2021: 17 · 2020: 20 · 2019: 17 · 2018: 11 · 2017: 2 · 2016: 1
FWCI
6.13
Type
journal article
Language
en
Open access
closed
Locations
Environmental Science Water Research & Technology (publishedVersion)
Funders
Division of Chemistry (CHE-1611306)
Topics
  • Physical Sciences › Environmental Science › Water Science and Technology › Advanced oxidation water treatment
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Water Treatment and Disinfection
  • Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
Keywords
trace organic contaminants, UV/hydrogen peroxide, UV/persulfate, advanced oxidation processes, water reuse, drinking water treatment, degradation mechanism, freshwater scarcity

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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.

Statistics and arithmetic are recomputed, not judged.

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