Cited by 1,521Heavy metals in environmentElectrokinetic Soil Remediation TechniquesEnvironmental and Analytical Chemistry Studies

Remediation technologies for metal-contaminated soils and groundwater: An evaluation

Mulligan, C.N., Yong, R.N., Gibbs, B.F.·2001·Engineering Geology

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Crossref · 10.1016/s0013-7952(00)00101-0

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  • Cadmium, copper, lead, mercury, nickel, and zinc are common metals found in stormwater and are listed on the EPA's priority pollutants.

    “Cadmium, copper, lead, mercury, nickel, and zinc are common metals found in stormwater and are listed on the EPA's priority pollutants [3].”

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Authors
Mulligan, C. N., Yong, R. N., & Gibbs, B. F.
Affiliations
  • Concordia University (CA)
  • Cardiff University (GB)
Corresponding author
Mulligan, C.N.
Venue
Engineering Geology
Publisher
Elsevier BV
Published
2001-06
Volume
60
Issue
1-4
Pages
193-207
ISSN
0013-7952 (ISSN-L)
OpenAlex
W2017875658
Cited by
1,521
References
0
Citations by year
2026: 31 · 2025: 61 · 2024: 58 · 2023: 57 · 2022: 70 · 2021: 95 · 2020: 82 · 2019: 99 · 2018: 95 · 2017: 67 · 2016: 84 · 2015: 82 · 2014: 89 · 2013: 76 · 2012: 70
FWCI
17.60
Type
journal article
Language
en
Open access
closed
Locations
Engineering Geology (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrokinetic Soil Remediation Techniques
  • Physical Sciences › Environmental Science › Water Science and Technology › Environmental and Analytical Chemistry Studies
Keywords
metal-contaminated soil, groundwater remediation, soil remediation, metal immobilization, physical barriers, solidification/stabilization, electrokinetic remediation, bioleaching, phytoremediation, heavy metals, lead, arsenic, cadmium, chromium, copper, zinc, mercury, metal extraction, hydrocyclone, flotation, Thiobacillus

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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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