Heavy metal capture and accumulation in bioretention media
Abstract
Heavy metal capture and accumulation in bioretention media were investigated through the use of a one-dimensional filtration equation for particulate metals, advection/dispersion/adsorption transport equations for dissolved metals, and sequential extractions. Predicted spatial profiles and partitioning patterns of captured metals were compared to data derived from a bioretention cell in the District of Columbia. Zinc, lead, and copper profiles showed a high surface accumulation, significantly decreasing with the media depth. Surface street particle-enriched areas had the highest heavy metal levels, demonstrating a close relationship between capture of metals and runoff particles. Sequential extractions suggested that most captured metals were of anthropogenic origin. Soluble-exchangeable bound metals from the sequential extraction correlated well with predicted aqueous dissolved metals; the more strongly associated metal fractions correlated with modeled runoff and media particulate metals. A simple risk evaluation indicated thatlead isthe limiting metal in bioretention accumulation. On the basis of information collected in this study, a shallow bioretention cell design is suggested for systems with a focus on metal capture.
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Most studies concerning filter material in stormwater bioretention are done on entire bioretention systems at lab-, pilot- or full-scale and not only on the filter material itself.
“Most studies concerning filter material in stormwater bioretention are I) done on entire bioretention systems at either lab-, pilot- or full-scale (e.g. Li and Davis, 2008; Wang et al., 2017) and not only on the filter material itself;”
From Dissolved metal adsorption capacities and fractionation in filter materials for use in stormwater bioretention facilities (2019) · cites this paper as Li and Davis, 2008
The addition of organic matter in forms such as a top mulch layer or compost for enhancing metal removal may not be sustainable for efficient metal removal on a long-term basis, since these metals are likely to be released to solution as the organic matter degrades.
“Hence, the addition of OM in forms of e.g. a top mulch layer as previously recommended in the USA (Li and Davis, 2008) or compost for the enhancement of metal removal (Fassman et al., 2013) may not be sustainable for efficient metal removal on a long-term basis, since these metals are likely to be released to solution as the OM degrades.”
From Dissolved metal adsorption capacities and fractionation in filter materials for use in stormwater bioretention facilities (2019) · cites this paper as Li and Davis, 2008
Li and Davis (2008) found a close relationship between capture of metals and runoff particles.
“Furthermore, Li and Davis (2008) found a close relationship between capture of metals and runoff particles.”
From Dissolved metal adsorption capacities and fractionation in filter materials for use in stormwater bioretention facilities (2019) · cites this paper as Li and Davis (2008)
Sequential extractions of filter materials from two approximately four-year-old full-scale bioretention facilities in Washington D.C. and Maryland (USA) indicated that adsorbed metals were strongly bound to the bioretention filter material and largely immobile (not in the exchangeable fraction).
“Sequential extractions of filter materials from two approximately four-year-old full-scale bioretention facilities in Washington D.C. and Maryland (USA) indicated that adsorbed metals were strongly bound to the bioretention filter material and largely immobile (not in the exchangeable fraction) (Li and Davis, 2008; Jones and Davis, 2013).”
From Dissolved metal adsorption capacities and fractionation in filter materials for use in stormwater bioretention facilities (2019) · cites this paper as Li and Davis, 2008
Cites
Sources of Heavy Metals and Polycyclic Aromatic Hydrocarbons in Urban Stormwater Runoff
Brown, J. N., & Peake, B. M. (2006) · Science of The Total Environment · doi:10.1016/j.scitotenv.2005.05.016 · Cited by 472 · see citing works
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Urban Stormwater Treatment Using Bioretention
Trowsdale, S. A., & Simcock, R. (2011) · Journal of Hydrology · doi:10.1016/j.jhydrol.2010.11.023 · Cited by 235 · see citing works
Management of stormwater pollution using green infrastructure: The role of rain gardens
Sharma, R., & Malaviya, P. (2021) · WIREs Water · doi:10.1002/wat2.1507 · Cited by 186 · see citing works
Tedoldi, D., Chebbo, G., Pierlot, D., Branchu, P., Kovacs, Y., & Gromaire, M.-C. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2016.10.226 · Cited by 60 · see citing works
“Presently, most attempts to model the fate and transport of contaminants in the soil/filter media of SUDS have adopted a one-dimensional framework, assuming that the water fluxes spread homogeneously over the soil surface whatever the rainfall intensity, and that the spatial distribution of contaminants only varies wi…”
BackgroundSpatial accumulation and strength of affiliation of heavy metals in bioretention media
Jones, P. S., & Davis, A. P. (2013) · Journal of Environmental Engineering · doi:10.1061/(asce)ee.1943-7870.0000624 · Cited by 60 · see citing works
Self-citationSøberg, L. C., Winston, R., Viklander, M., & Blecken, G.-T. (2019) · Water Research X · doi:10.1016/j.wroa.2019.100032 · Cited by 47 · see citing works
“Furthermore, for the materials LTU-TOP, NC-USA, DWA and Hekla-B in some cases higher final metal concentrations were recorded at the highest initial concentrations (Fig.”
BackgroundInfluentialAssessment of metal and PAH profiles in SUDS soil based on an improved experimental procedure
Tedoldi, D., Chebbo, G., Pierlot, D., Kovacs, Y., & Gromaire, M.-C. (2017) · Journal of Environmental Management · doi:10.1016/j.jenvman.2017.06.063 · Cited by 33 · see citing works
- Authors
- Li, H., & Davis, A. P.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Davis, Allen P.
- ORCID
- Davis, Allen P.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-06-11
- Volume
- 42
- Issue
- 14
- Pages
- 5247-5253
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W1981513517
- Cited by
- 162
- References
- 1
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 10 · 2023: 7 · 2022: 13 · 2021: 12 · 2020: 8 · 2019: 10 · 2018: 10 · 2017: 7 · 2016: 14 · 2015: 9 · 2014: 6 · 2013: 7 · 2012: 7
- FWCI
- 6.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Environmental Science & Technology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
- Physical Sciences › Environmental Science › Pollution › Heavy metals in environment
- Physical Sciences › Environmental Science › Water Science and Technology › Adsorption and biosorption for pollutant removal
- Keywords
- heavy metal capture, bioretention media, stormwater runoff, particulate metals, adsorption, sequential extraction, metal fractionation, zinc, lead, copper, urban stormwater, anthropogenic metal sources, metal risk assessment
- MeSH terms
- District of Columbia, Environmental Monitoring, Mathematics, Models, Chemical, Water Pollutants, Chemical, Water Purification, Geologic Sediments, Metals, Heavy
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