Characterizing heavy metal build-up on urban road surfaces: Implication for stormwater reuse

Liu, An; Liu, Liang; Li, Dunzhu; Guan, Yuntao

doi:10.1016/j.scitotenv.2015.02.026

Cited by 83 publications

(21 citation statements)

References 30 publications

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“…A total of five build-up samples were collected from the five road surfaces from 1.5 m Â 2.0 m plots using a dry and wet vacuum system. The validity of the collection methodology and the ability for collecting different particle sizes have been confirmed in previous research studies [12][13][14]. The antecedent dry periods for road buildup sample collections were 8 days for Armstrong Way (residential), 9 days for Stevens Street (industrial), 11 days for Lawrence Drive (commercial), 14 days for Drumbeat Place (residential) and 7 days for Ceil Circuit (residential).…”

Section: Sample Collection and Laboratory Testingsupporting

confidence: 57%

Differentiating Between Pollutants Build‐Up on Roads and Roofs: Significance of Roofs as a Stormwater Pollutant Source

Liu

Miguntanna

Miguntanna³

et al. 2016

CLEAN Soil Air Water

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Impervious surfaces in an urban catchment are primary stormwater pollutant contributing areas. Appropriate treatment of stormwater runoff from these impervious surfaces is essential to safeguard the urban water environment. While urban roads have received significant research attention in this regard, roofs have not been well investigated. Key pollutant processes such as build-up on roads and roofs can be different due to the different surface characteristics. This entails different treatment strategies being needed for road and roofs. The research study characterized roof pollutants build-up by differentiating with road surfaces. It was noted that pollutants are more highly concentrated on particles and particularly finer particles in the case of roof surfaces, compared to road surfaces. Additionally, pollutants built-up on roof surfaces tend to be relatively more variable from one day to another in terms of pollutant loads. These results highlight the significance of roofs as a stormwater pollutant source and the important need for a specific stormwater treatment strategy rather than the application of a combined approach for treating stormwater runoff from both, roads and roofs.

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Section: Sample Collection and Laboratory Testingsupporting

confidence: 57%

Differentiating Between Pollutants Build‐Up on Roads and Roofs: Significance of Roofs as a Stormwater Pollutant Source

Liu

Miguntanna

Miguntanna³

et al. 2016

CLEAN Soil Air Water

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“…Water soluble inorganic ions (WSIIs) such as Ca 2-(less than 10%) and carbonaceous components, including organic carbon (OC) (from 1% to 20%) and element carbon (EC) (approximately 1%) (Kong et al, 2011), are also abundant in fugitive dust. Moreover, toxic components such as heavy metals (As, Cu, Zn, Pb, Cd, Cr, and Ni) exist in fugitive dust, and they pose serious harmful effects on human health (Martuzevicius et al, 2011;Liu et al, 2015). For example, demolition activities increase human exposure to lead, which may affect the brain and nervous system (Farfel et al, 2003;Han et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Characterization of PM10 and PM2.5 Source Profiles of Fugitive Dust in Zhengzhou, China

Jiang

Dong

et al. 2018

Aerosol Air Qual. Res.

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As a result of rapid urbanization, the road lengths and built-up areas in Zhengzhou are steadily expanding along with increasing fugitive dust emissions. Identifying the physical and chemical characteristics and the chemical profiles of fugitive dust is important in achieving effective atmospheric pollution management. In this study, soil dust, road dust (RD), building demolition dust, and cement (CE) were chosen as the research objects. A total of 94 dust samples were collected from 20 sites. PM 2.5 (particulate matter with diameter ≤ 2.5 µm) and PM 10 (particulate matter with diameter ≤ 10 µm) samples were obtained by using a re-suspension device and their physical and chemical properties were analyzed. The scanning electron microscopy of four types of dust particles showed that most of the dust particles presented an irregular shape. In terms of particle size distribution, the mass concentration of PM 2.5 accounted for less than 10% of the total PM 10 , whereas the number concentration of PM 2.5 accounted for more than 96% of the total number. Chemical component analysis revealed that crustal elements such as Al, Mg, Fe, and K were abundant in all samples, and they were the most abundant species in PM 2.5 and PM 10 in the reconstruction results. The percentage of NO 3 -in the RD sample was higher than that in the other three fugitive dust samples because of the influence of vehicles. Furthermore, the CE sample had higher SO 4 2-and Ca 2+ percentages than the other three types of fugitive dust samples. Enrichment factor analysis showed that the significant enrichment of Cd and Ag was mainly caused by anthropogenic sources. The coefficients of divergence values between the profiles for different sites of dust ranged from 0.21 to 0.68, indicating the fugitive dust profiles from various sites mostly different. The chemical profiles of four dust sources obtained from this study is limited in Zhengzhou.

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“…This was made evident in a study by Liu et al (2015). The authors measured the buildup of Cu, Zn, Pb, Cd, Cr, and Ni on roads from ten different locations in Southern China.…”

Section: Effect Of Average Daily Traffic On Heavy Metals Concentrationmentioning

confidence: 92%

“…Furthermore, they found a positive correlation between heavy metal loads and the roughness of the road (A. Liu et al, 2015). This would indicate that on higher ADT roads the volume of traffic becomes less important than the amount of stop and go traffic in conjunction with the roughness of the road.…”

Section: Effect Of Average Daily Traffic On Heavy Metals Concentrationmentioning

confidence: 96%

“…Traffic congestion of these roads was determined using a traffic congestion coefficient defined as the reciprocal of the average vehicle speed and ranged from 0.022 to 0.040 hours per kilometer (A. Liu, Liu, Li, & Guan, 2015). While the authors found a positive correlation between the increased heavy metal loads and traffic congestion (correlation coefficients ranging from 0.070 to 0.222), there was a negative correlation between traffic volume and Cu, Zn, Cd, and Ni loads.…”

Section: Effect Of Average Daily Traffic On Heavy Metals Concentrationmentioning

confidence: 99%

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Characterization and Reuse of Residuals Collected from Street Sweeping Operations

Lloyd

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Street sweeping is a non-structural best management practice (BMP) implemented by the Virginia Department of Transportation (VDOT) in order to meet total maximum daily loads for the Chesapeake Bay watershed in Virginia. This BMP functions by removing the roaddeposited sediment and debris from the roadway before it enters receiving waters. Currently the material collected by VDOT during street sweeping operations is considered a solid waste and must be disposed at a lined landfill. As street sweeping activity continues to increase in order for VDOT to meet the increasing TMDL requirements, a significant cost increase for disposal and transportation to the landfill are expected. In order to curtail these costs, VDOT is seeking a Beneficial Use Determination (BUD) from the Virginia Department of Environmental Quality (VADEQ) for this material. This would allow VDOT to recycle the material for use as traction sand, soil amendment, or other suitable applications. In order to attain a BUD for this waste stream the VADEQ has a number of different criteria that the material must meet, including a physical and chemical characterization of the material to ensure it is not hazardous to the population or the environment. The purpose of this research is to provide a characterization of material collected from over 80 road sites of various average daily traffic loads and land uses. This material was tested for heavy metals including As, Ba, Cd, Cr, Se, Ag, Cu, and Zn as well as the 16 EPA priority polycyclic aromatic hydrocarbons (PAHs) and oil and grease. Concentrations of these metals ranged from 5.9X10 -3 -2.5 mg/kg, 0.225-64.9 mg/kg, 7.3X10 -4 -51.1 mg/kg, 4.8X10 -3 -108.1, 9.1X10 -3 -2 mg/kg, 7.3X10 -4 -1 mg/kg, 0-9.7 mg/kg, 0.3-273.5 mg/kg respectively. Concentrations of ∑PAHs ranged from 18.5 µg/kg to 87,208 µg/kg. Concentrations of oil and grease ranged from 33.6 mg/kg to 3,440.9 mg/kg. Based on the results of this characterization it was found that the concentrations of these contaminants cannot be reliably predicted based on the ADT and land use of the road and surrounding areas. Rather, the particle size of the road deposited sediment had a greater influence of the level of contamination. Given this information it is suggested that VDOT screen material collected during street sweeping to remove the fines associated with this contaminant load.

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Characterizing heavy metal build-up on urban road surfaces: Implication for stormwater reuse

Cited by 83 publications

References 30 publications

Differentiating Between Pollutants Build‐Up on Roads and Roofs: Significance of Roofs as a Stormwater Pollutant Source

Differentiating Between Pollutants Build‐Up on Roads and Roofs: Significance of Roofs as a Stormwater Pollutant Source

Characterization of PM10 and PM2.5 Source Profiles of Fugitive Dust in Zhengzhou, China

Characterization and Reuse of Residuals Collected from Street Sweeping Operations

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