Comparison of filter media materials for heavy metal removal from urban stormwater runoff using biofiltration systems

Lim, Han She; Lim, Wei‐Wen; Hu, Jiangyong; Ziegler, Alan D.; Ong, Say Leong

doi:10.1016/j.jenvman.2014.04.042

Cited by 102 publications

(42 citation statements)

References 36 publications

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“…low concentrations, they were still able to maintain high removal performance for the high concentration experiments [36]. In summary, the inflow heavy metal concentration had a relatively minor (not significant) influence on the removal efficiency of the four bioretention media mixes in study.…”

Section: Influent Heavy Metal Concentrationmentioning

confidence: 74%

“…The removal efficiencies of the four heavy metals in reactors 3 and 4 had similar trends, i.e., regardless of inflow heavy metal concentration, the removal efficiencies of the four metals all exceeded 93.8%. These trends suggest that, while the media were already performing well at the low concentrations, they were still able to maintain high removal performance for the high concentration experiments [36]. In summary, the inflow heavy metal concentration had a relatively minor (not significant) influence on the removal efficiency of the four bioretention media mixes in study.…”

Section: Influent Heavy Metal Concentrationmentioning

confidence: 76%

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Removal of Heavy Metals from Urban Stormwater Runoff Using Bioretention Media Mix

Wang

Zhao

Yang

et al. 2017

Water

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Heavy metals from urban stormwater runoff are important sources of surface water pollutants. Sand, zeolite, sandy loam, and quartz-sand were separately mixed with lignin to form four bioretention media mixes for experimental study using synthetic stormwater runoff. The average removal efficiencies of four heavy metals (Cu, Zn, Cd, and Pb) by the four media mixes were all better than 97% at the optimum pH of 6.05 (ranging from 6 to 8) and the seven-day rainfall-event interval. The influence of the influent concentration and the rainfall-event interval on the removal efficiency of heavy metals by the four media mixes was not significant, but the variation of the removal efficiencies at the four-day rainfall-event interval was large. Under acidic conditions, there was a certain heavy metal dissolution in the four reactors, but the effect on the removal efficiency was minor. Heavy metals were present in the media mainly in the form of the residual fraction (>50%). The accumulation of Cu, Zn, and Cd in the surface planting-soil layer (same humus and sandy-loam mixture for all reactors) was significantly larger than the accumulation at deeper depths but not for Pb. Overall, the heavy metal removal efficiencies by the four media mixes were not significantly different, and the choice of the planting-soil layer can become the control factor of heavy metal removal.

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Section: Influent Heavy Metal Concentrationmentioning

confidence: 74%

Section: Influent Heavy Metal Concentrationmentioning

confidence: 76%

Removal of Heavy Metals from Urban Stormwater Runoff Using Bioretention Media Mix

Wang

Zhao

Yang

et al. 2017

Water

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“…Wong et al (2013) advocated the use of biofiltration systems with a submerged zone for urban stormwater treatment. The biofilters showed high removal efficiencies of TSS (N90%), pathogens (1-3 log for Clostridium perfringens, Escherichia coli, and F-RNA coliphages), heavy metals (N 90% for Cu, Zn, Cd and Pb), PAHs (N 80%), oil and grease (N95%) and glyphosate (N80%) (Bratieres et al, 2008;Li et al, 2012;Lim et al, 2015;Zhang et al, 2014). However, the biofilters were not effective in removing the triazine herbicides.…”

Section: Stormwater Treatmentmentioning

confidence: 99%

Stormwater quality management in rail transportation — Past, present and future

Ngo

Guo

et al. 2015

Science of The Total Environment

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“…In another study, Lim et al [24] recommended using potting soil as the principal media mixed with compost or sludge by comparing the heavy metal removal potential (Cu, Zn, Cd, Pb) of five materialsbased (potting soil, compost, coconut coir, sludge, and a commercial mix) laboratory column experiments. Small column tests by Guo et al [25] were conducted on various soil mixes as a rapid evaluation tool for the optimum engineered soil mix, considering its ability to support healthy plant/tree growth, cost-effectiveness, availability in local markets, hydraulic conductivity, and its ease of preparation by local landscape contractors.…”

Section: Bio-swale Column Experiments and Simulation Of Hydrologic Immentioning

confidence: 99%

Bio-Swale Column Experiments and Simulation of Hydrologic Impacts on Urban Road Stormwater Runoff

2016

Pol. J. Environ. Stud.

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The acceleration of urbanization has resulted in the increase of urban surface runoff. Bio-swale is a promising stormwater control measure that has been proven to be hydrologically effective on urban surface runoff. Column studies were conducted to determine the optimal bio-swale composition. Results demonstrated that water reduction was proportional to inflow decrease. Columns that planted border privet and Ophiopogon japonicus showed a larger water quantity reduction compared with that of planted boxwood and ryegrass, glossy privet and Chlorophytum comosum 'Variegatum' in vegetation tests, which was the same as the order of measured transpiration capacity of the plants. Water reduction rate increases dramatically with decreasing planting soil thickness. By contrast, no significant change occurs once the thickness of the artificial filler layer is altered. The bio-swale column with a high-infiltration rate artificial filler produced a good hydrological control effect. Sand was found to be the optimal media among the selected media compositions. Although the inclusion of an additional ponding depth affected total water reduction, it produced a stable outflow. SPSS software was used to assess the relationship between water reduction rate and its influence. On the one hand, water reduction rate increased linearly with increasing water inflow, soil thickness, and ponding depth. On the other, water reduction rate grew linearly with increasing plant factor and artificial filler infiltration rate. The multiple linear regression model revealing the relationship between the water reduction effect, and its influencing factors were obtained via the stepwise regression method in the SPSS software.

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Comparison of filter media materials for heavy metal removal from urban stormwater runoff using biofiltration systems

Cited by 102 publications

References 36 publications

Removal of Heavy Metals from Urban Stormwater Runoff Using Bioretention Media Mix

Removal of Heavy Metals from Urban Stormwater Runoff Using Bioretention Media Mix

Stormwater quality management in rail transportation — Past, present and future

Bio-Swale Column Experiments and Simulation of Hydrologic Impacts on Urban Road Stormwater Runoff

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