Characteristics of colloids and their affinity for heavy metals in road runoff with different traffic in Beijing, China

Du, Xiaoli; Lee, Hui; Fang, Xing; Cui, Shenshen; Li, Junqi

doi:10.1007/s11356-020-12020-3

Cited by 10 publications

(2 citation statements)

References 36 publications

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“…The EMC is a widely applied method for calculating the concentrations of heavy metal pollutants in different land uses and stormwater collection systems (Lindfors et al 2020;Du et al 2021). The concentrations of pollutants in urban runoff are assumed to be constant in the EMC method during an event (Charbeneau & Barrett 1998).…”

Section: Monitoring Methodsmentioning

confidence: 99%

The effect of land-use type and climatic conditions on heavy metal pollutants in urban runoff in a semi-arid region

Soltaninia

Taghavi

Hosseini

et al. 2022

Journal of Water Reuse and Desalination

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This study examined the effects of land-use changes on heavy metal pollution in runoff in a catchment of Tehran, Iran. Urban runoff samples were collected from six stations, including five various land uses and mixed land uses. The event mean concentration (EMC) was applied to determine heavy metals, including mercury (Hg), arsenic (As), cadmium (Cd), zinc (Zn), lead (Pb), and copper (Cu), in five land uses. Sampling was done during six events with different antecedent dry days (ADDs) during 2019–2020. The result revealed higher heavy metal concentrations in runoff in the industrial land use compared to other land-use types in the catchment. The calculated EMC rates were as follows: EMC Zn > EMC Pb > EMC Cu > EM As > EMC Hg > EMC Cd. This study also found that the maximum and minimum EMCs of heavy metals were associated with rainfall events with 115 and 1 dry days, respectively. In comparison to other heavy metals, mercury and arsenic were at a higher level in runoff as determined by EMC data analysis. In order to minimize the risk of heavy metal contamination of runoff, the relocation of industrial land uses from urban environments to non-urban areas is recommended.

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Section: Monitoring Methodsmentioning

confidence: 99%

The effect of land-use type and climatic conditions on heavy metal pollutants in urban runoff in a semi-arid region

Soltaninia

Taghavi

Hosseini

et al. 2022

Journal of Water Reuse and Desalination

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show abstract

“…An investigation into eight heavy metals within Beijing's urban green spaces revealed that Cd, Cu, Zn, and Ni are markedly influenced by anthropogenic activities. Pollution assessment outcomes indicate that, while Beijing's green spaces are predominantly clean, there exist minor potential ecological risks [25]. Utilizing Pb isotopes and multivariate statistical analyses to investigate the origins of heavy metals in the alluvial plain soil of the Pearl River Delta, the study determined that Pb primarily originates from gasoline combustion emissions.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Heavy Metal Contamination and Ecological Risk in Soil within the Zheng–Bian–Luo Urban Agglomeration

Chen,

Zhang,

Wong

et al. 2024

Processes

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As urbanization accelerates, the contamination of urban soil and the consequent health implications stemming from urban expansion are increasingly salient. In recent years, a plethora of cities and regions nationwide have embarked on rigorous soil geological surveys with a focus on environmental quality, yielding invaluable foundational data. This research aims to develop scientifically robust and rational land-use planning strategies while assessing the levels of heavy metal pollution and associated risks. The urban agglomeration encompassing Zhengzhou, Luoyang, and Kaifeng (referred to as Zheng–Bian–Luo Urban Agglomeration) in Henan Province was designated as the study area. Leveraging the Nemerow comprehensive index method alongside the Hakanson potential ecological risk assessment method, this study delved into the pollution levels and potential ecological ramifications of nine heavy metals, namely Cr, Mn, Ni, Cu, Zn, As, Cd, Pb, and Co. Research indicates that the hierarchy of individual potential ecological risks ranges from most to least significant as follows: Cd > Pb > Cr > Ni > Cu > Zn > As > Mn > Co. The concentrations of Cd in both Zhengzhou and Kaifeng surpassed the established background levels. Furthermore, the mean single-factor pollution index values for the heavy metals Cd and Zn exceeded 1, signifying a state of minor pollution. The Nemerow comprehensive index P of Cd and Zn is between 1 < Pcomp ≤ 2, which is considered mild pollution. The comprehensive P values of the other seven metal elements are all less than 0.7, reaching a clean (alert) level. Predominantly, the primary potential risk factor in the superficial soil of the Zheng–Bian–Luo urban agglomeration is Cd, while the ecological risk implications associated with other heavy metal elements are comparatively minimal. The soil environmental quality within the designated study area remains secure, although certain localized areas pose potential risks of heavy metal pollution. A comprehensive assessment of the current state of soil heavy metal pollution is essential to establish a theoretical foundation and provide technical support for soil environmental protection, pollution mitigation, and sustainable utilization.

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Characteristics of dissolved organic matter in urban road runoff under different traffic densities in Beijing, China

Chi

Chen

et al. 2022

Environ Sci Pollut Res

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Characteristics of colloids and their affinity for heavy metals in road runoff with different traffic in Beijing, China

Cited by 10 publications

References 36 publications

The effect of land-use type and climatic conditions on heavy metal pollutants in urban runoff in a semi-arid region

The effect of land-use type and climatic conditions on heavy metal pollutants in urban runoff in a semi-arid region

Assessment of Heavy Metal Contamination and Ecological Risk in Soil within the Zheng–Bian–Luo Urban Agglomeration

Characteristics of dissolved organic matter in urban road runoff under different traffic densities in Beijing, China

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