Soil amendments for heavy metals removal from stormwater runoff discharging to environmentally sensitive areas

Trenouth, William R.; Gharabaghi, Bahram

doi:10.1016/j.jhydrol.2015.08.034

Cited by 35 publications

(13 citation statements)

References 73 publications

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“…The addition of iron filings to bioretention media improved removal rates in column studies for nutrients, trace metals, PAHs, TSS, and Escherichia coli bacteria (Prabhukumar et al, 2015). Trenouth and Gharabaghi (2015c) determined that both BOF slag and goethite-rich overburden from a coal mine was effective at removing dissolved metals from stormwater using repacked columns.…”

Section: Design For Optimization Studies Related Tomentioning

confidence: 99%

Urban Stormwater Characterization, Control, and Treatment

Vogel

Moore²

2016

Water Environment Research

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The following review presents a synthesis of 181 journal articles published during 2015 that represent progress toward better characterizing, controlling, and treating urban stormwater runoff. The review is structured by general topical areas related to (1) stormwater quality and quantity characterization; (2) engineered stormwater control and treatment practices, including erosion and sediment control, stormwater ponds, constructed stormwater wetlands, bioretention, permeable pavement, greenroofs, and rainwater harvesting systems; and (3) watershed-scale modeling and optimization of stormwater control and treatment practices. Common research themes emerging from this collection of studies include potential to enhance hydrologic and pollutant treatment performance of stormwater practices via media amendments and the use of innovative outlet control structures, as well as development of a more mechanistic understanding of hydrologic and water-quality functions to inform modeling and performance predictions. These studies serve to expand the field's knowledge base and will inform future efforts to further improve stormwater control and treatment at various spatial and temporal scales.

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Section: Design For Optimization Studies Related Tomentioning

confidence: 99%

Urban Stormwater Characterization, Control, and Treatment

Vogel

Moore²

2016

Water Environment Research

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“…Cd, Cr, Cu, Ni, Pb, and Zn are typical urban-related contaminants that are now under the priority substances of European Water Framework Directives (Deycard et al, 2014;Rodríguez Martin et al, 2015). These trace metals as well as Co are loaded in urban runoff catchments (Fraga et al, 2016;Schmitt et al, 2015;Trenouth and Gharabaghi, 2015).…”

Section: In Contributing Contaminantsmentioning

confidence: 99%

Labile trace metal contribution of the runoff collector to a semi-urban river

Villanueva

Granger

Binet

et al. 2016

Environ Sci Pollut Res

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In this study, the distribution of labile trace metals (LTMs; Cd, Co, Cr, Cu, Ni, Pb, and Zn) in a semi-urban runoff collector was examined to assess its influence to a natural aqueous system (Jalle River, Bordeaux, France). This river is of high importance as it is part of a natural reserve dedicated to conserving aquatic flora and fauna. Two sampling campaigns with a differing precipitation condition (period 1, spring season; and period 2, summer season associated with storms) were considered. Precipitation and water flow were monitored. The collector is active as it is receptive to precipitation changes. It influences the river through discharging water, contributing LTMs, and channeling the mass fluxes. During period 2 where precipitation rate is higher, 25 % of the total water volume of the river was supplied by the collector. LTMs were detected at the collector. Measurements were done by using diffusive gradient in thin films (DGT) probes deployed during 1, 7, and 14 days in each period. The results showed that in an instantaneous period (day 1 or D1), most of these trace metals are above the environmental quality standards (Cd, Co, Cr, and Zn). The coefficient of determination (r (2) > 0.50) employed confirmed that the LTM concentrations in the downstream can be explained by the collector. While Co and Cr are from the upstream and the collector, Cd, Cu, and Zn are mostly provided by the collector. Ni, however, is mostly delivered by the upstream. Using the concentrations observed, the river can be affected by the collector in varying ways: (1) adding effect, resulting from the mix of the upstream and the collector (if upstream ˂ downstream); (2) diluted (if upstream ˃ downstream); and (3) conservative or unaffected (upstream ~ downstream). The range of LTM mass fluxes that the collector holds are as follows: (1) limited range or ˂10 g/day, Cd (0.04-1.75 g/day), Co (0.08-05.42 g/day), Ni (0.06-1.45 g/day), and Pb (0.08-9.89 g/day); (2) moderate range or 11-50 g/day, Cr (0.23-33.26 g/day) and Cu (0.77-37.88 g/day); and (3) wide range or ˃50 g/day, Zn (26.33-676.61 g/day). Hence, the collector is a major source of concern in terms of contamination. This is as the water with considerable LTMs is channeled openly to the river without any treatment.

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“…1). The accurate prediction of highway runoff quality is particularly useful when estimating the required material thickness of roadside swale amendment layers selected to target the most problematic noxious species, as per the methodology proposed by Trenouth and Gharabaghi (2015c). This work is meant to assist highway designers and engineers working to curb the impact of runoff water quality in environmentally sensitive areas (ESAs).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…Since the published studies did not contain information on a standard suite of metals this portion of the analysis was limited to an evaluation of Cu, Zn, Pb and Cr, as these were the metal species for which an acceptable amount of data could be obtained (n = 940, 925, 818 and 436, respectively). The MDUALs were computed for each event prior to clustering the datasets by dividing the heavy metal EMCs by both RD and ADP to yield a value expressed in lg/m 2 ⁄ d. Total metal (dissolved plus particulate) concentrations were used in the analysis, as this aggregated partitioning is used to assess the efficacy of treatment media (Trenouth and Gharabaghi, 2015c).…”

Section: Ann Structure and Developmentmentioning

confidence: 99%