Cited by 57Urban Stormwater Management SolutionsUrban Heat Island MitigationSoil and Unsaturated Flow

Biochar particle size and amendment rate are more important for water retention and weight of green roof substrates than differences in feedstock type

Werdin, Joerg, Conn, Richard, Fletcher, Tim D., Rayner, John P., Williams, Nicholas S.G., Farrell, Claire·2021·Ecological Engineering

Integrity signals

Registry

Crossref · 10.1016/j.ecoleng.2021.106391

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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  • Biochar can be applied as green roof to reduce urban runoff by increasing water holding capacity.

    “In addition, it can also be applied as green roof to reduce urban runoff by increasing water holding capacity (Werdin et al. 2021).”

    From Role of biochar toward carbon neutrality (2023) · cites this paper as Werdin et al. 2021

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Authors
Werdin, J., Conn, R., Fletcher, T. D., Rayner, J. P., Williams, N. S. G., & Farrell, C.
Affiliations
The University of Melbourne (AU)
Corresponding author
Werdin, Joerg
Venue
Ecological Engineering
Publisher
Elsevier BV
Published
2021-11
Volume
171
Pages
106391
ISSN
0925-8574 (ISSN-L)
OpenAlex
W3193619104
Cited by
57
References
2
Citations by year
2026: 10 · 2025: 11 · 2024: 15 · 2023: 10 · 2022: 9 · 2021: 2
FWCI
2.92
Type
journal article
Language
en
Open access
closed
Locations
Ecological Engineering (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
  • Physical Sciences › Engineering › Civil and Structural Engineering › Soil and Unsaturated Flow
Keywords
biochar, green roofs, green roof substrates, biochar particle size, feedstock type, water retention, air-filled porosity, infiltration, stormwater runoff, plant available water

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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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