Characterization and risk assessment of heavy metals in road dust from a developing city with good air quality and from Shanghai, China

Chen, Xiao‐Jia; Guo, Meixiu; Feng, Jingjing; Liang, Shuxiu; Han, Deming; Cheng, Jin

doi:10.1007/s11356-019-04550-2

Cited by 46 publications

(15 citation statements)

References 86 publications

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“…It can be clearly seen from Figure 3(b) that the soil Cd concentration in Shanghai, Nanjing, and Hangzhou was relatively high. Similar findings have been reported in previous studies (Mao et al 2017;Wang et al 2018;Chen et al 2019). In addition, the soil Cd concentrations in Shaoxing and Xuzhou, which have rich mineral resources and intensive mining industries, were also high.…”

Section: Characteristics Of CD Contamination Distributionsupporting

confidence: 90%

Ecological risk assessment of soil cadmium in China’s coastal economic development zone: a meta-analysis

Sun

Wang

et al. 2020

Ecosyst Health Sustain

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The coastal area of China has faced major strategic planning and environmental pollution, including heavy metals pollution. This study aimed to provide a comprehensive evaluation of the effects of Cd pollution on the ecology in coastal areas of China. A soil Cd pollution database of 300 counties or districts in coastal areas was screened from academic dissertations and academic journal papers. Based on the database, the ecological risk was evaluated using entropy methods and probabilistic ecological risk assessment (PERA), and the advantages and disadvantages of these methods were analyzed. In China's coastal areas, the soil Cd content in 10.33% of the counties was higher than the minimum of risk control value (1.5 mg/kg), and in 4.00% of the counties was higher than the maximum of risk control value (4.0 mg/kg). The ecological risks were highly compatible with national strategic planning areas. Guangxi Province, Zhejiang Province, and Guangdong Province ranked among the top three coastal areas for soil Cd contamination, and the ecological risks were 18.80%, 17.89%, and 15.77% at the maximum no-effect concentration/lowest effect concentration (NOEC/LOEC) level. This study can provide insights to policymakers regarding the protection of ecosystems threatened by heavy metals in the process of regional strategic planning.

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Section: Characteristics Of CD Contamination Distributionsupporting

confidence: 90%

Ecological risk assessment of soil cadmium in China’s coastal economic development zone: a meta-analysis

Sun

Wang

et al. 2020

Ecosyst Health Sustain

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“…The application of different geochemical indicators normalized to the background values is a more reliable approach to compare the environmental quality. (Chen et al 2019;Gope et al 2018). In general, depending on the method of calculation, the following indicators provide useful information about the level of contamination: (1) geoaccumulation index (I geo ) (Chen et al 2015b;Dung et al 2013;Guan et al 2014;Ghazaryan et al 2015;Inengite et al 2015;Karim et al 2015;Liu et al 2016;Müller 1969;Ololade 2014;Omotoso and Ojo 2015;Sayadi et al 2015;Tang et al 2015;Wang et al 2015) and contamination factor (CF) (Håkanson 1980;Inengite et al 2015;Loska et al 2004) as the level of pollution caused by the individual heavy metal, (2) pollution load index (PLI) as the scale of total heavy metal pollution (Tomlinson et al 1980), (3) enrichment factor (EF) to detect the source of heavy metal contamination (natural or anthropogenic) (Inengite et al 2015;Karim et al 2015;Mohamed et al 2014), and (4) potential ecological risk index (PERI) as the source of harmful effects on the environment (Pejman et al 2015;Sayadi et al 2015;Tang et al 2015;Wang et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Concentration of heavy metals in street dust: an implication of using different geochemical background data in estimating the level of heavy metal pollution

Dytłow

Górka-Kostrubiec

2020

Environ Geochem Health

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Geochemical background data are used to distinguish between the sources of heavy metal (natural or anthropogenic) and to categorize the level of heavy metal pollution. In this study, we present the results of using different geochemical backgrounds (BG1–BG3) to establish the level of heavy metal pollution in street dust in Warsaw, Poland. We applied individual and collective indicators calculated with respect to the following backgrounds: (1) upper continental crust (UCC) (BG1), (2) the regional geochemical background established for Quaternary surface deposits of the Mazovian region (Poland) (parent geological material occurring in the studied area, Warsaw, Poland) (BG2), and (3) the minimal values of the concentration of heavy metals determined for the real street dust sample collectives from Warsaw (BG3). The assessment of the heavy metals pollution of street dust significantly depended on the background values used in the calculation of individual and collective indicators. Street dust was classified as unpolluted for almost all the heavy metals based on the values of indicators calculated for UCC data. The effect of traffic-related pollution was detected more precisely based on the values of indicators calculated for BG2 and BG3. The naturally elevated concentrations of heavy metals in UCC data can be responsible for the underestimation of pollution impact in street dust. When relatively low concentration of heavy metals is only observed, the application of BG2 or BG3 background data, which better correspond to the geogenic material in street dust, allows to realistically reflect the level of pollution from moving vehicles. Graphic abstract

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“…Surface dust is regarded as the carrier of various environmental pollutants, such as traffic emissions, industrial emissions, and other human activities [2,3]. Heavy metal elements are harmful environmental pollutants with characteristics of high toxicity, concealment, persistent existence, and bio-accumulation [4,5]. Pollution of urban surface dust with heavy metals is a serious environmental issue when it poses a threat to the human health and urban ecoenvironment [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have been carried out on heavy metals in surface dusts in super cities or towns all over the word in recent decades, whose spatial distribution patterns [11], source identification [12], ecological risk assessment [13], and health risk assessment [5] were conducted. Some researches focused on the dusts on the urban roads [1] and national highways [6].…”

Section: Introductionmentioning

confidence: 99%

Identification of the spatial distributions, pollution levels, sources, and health risk of heavy metals in surface dusts from Korla, NW China

Hayrat

Eziz

2020

Open Geosciences

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A total of 54 surface dust samples were gathered from Korla in NW China, and the concentrations of six heavy metal elements, such as Hg, Cd, As, Pb, Cr, and Cu, were determined by standard methods. The geostatistical analysis, multivariate statistical analysis, pollution load index (PLI), and the US EPA health risk assessment model were used to analyze the spatial distribution, pollution, and its potential health risk of heavy metals in surface dusts, and the main sources of heavy metals were also identified. The obtained results indicate that the average concentrations of As in surface dust of Korla is lower than the background values determined in Xinjiang soil, whereas the average concentrations of Hg, Cd, Pb, Cr, and Cu elements exceeded the corresponding background values by factors of 3.71, 1.87, 1.96, 1.14, and 1.29, respectively. The higher concentration of analyzed heavy metals is observed in the northeastern and northern parts in the study area. The pollution level of heavy metals decreased in the following order: Hg > Pb > Cd > Cu > Cr > As. Based on the identified concentrations, the collected dust samples are found to be heavily polluted by Hg and slightly polluted by As, and the remaining elements, Pb, Cd, Cu, and Cr, are found to be low polluted. Furthermore, the PLI values of heavy metals in surface dust vary between 0.74 and 2.74, with an average value of 1.40, at the low pollution level. In addition, As in surface dust in the study area is mainly natural source, while Hg, Cd, Cr, Cu, and Pb are mainly anthropogenic sources. Overall, the carcinogenic and noncarcinogenic health risks of the analyzed elements, instigated mainly by oral ingestion of surface dust, are found to be within the acceptable range for both children and adults. As and Cr are the main noncarcinogenic elements, whereas Cr is the major carcinogenic element among the investigated dust-bound heavy metals in Korla.

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Characterization and risk assessment of heavy metals in road dust from a developing city with good air quality and from Shanghai, China

Cited by 46 publications

References 86 publications

Ecological risk assessment of soil cadmium in China’s coastal economic development zone: a meta-analysis

Ecological risk assessment of soil cadmium in China’s coastal economic development zone: a meta-analysis

Concentration of heavy metals in street dust: an implication of using different geochemical background data in estimating the level of heavy metal pollution

Identification of the spatial distributions, pollution levels, sources, and health risk of heavy metals in surface dusts from Korla, NW China

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