Risk assessment for Cd, Cu, Pb and Zn in urban soils: Chemical availability as the central concept

Rodrigues, Sónia; Cruz, Nuno; Coelho, C.; Henriques, Bruno; Carvalho, Lina; Duarte, Armando C.; Pereira, Eduarda; Römkens, P.F.A.M.

doi:10.1016/j.envpol.2012.10.006

Cited by 114 publications

(71 citation statements)

References 31 publications

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“…Moreover, stepwise regression analysis was applied to determine the dominate factors that might influence the Bio-HMs. All data except pH were log transformed to reduce the variation of variables before statistical analysis (Rodrigues et al 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Iron and manganese (Fe/Mn) oxides as well as organic matter can reduce the mobility of metals in soils via adsorption reactions (Chuan et al 1996;Zimdahl and Skogerboe 1977). Therefore, many studies often used pH, soil texture, organic matter, and Fe/Mn oxides to predict the availability of HMs in soils (Rodrigues et al 2013). However, it is still not clear which of these parameters is robust enough to be allowed for an estimation of the bioaccessibility, since those developed predicting models varied in sites (Hund-Rinke and Kördel 2003;Rieuwerts et al 1998).…”

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confidence: 99%

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Factors influencing the heavy metal bioaccessibility in soils were site dependent from different geographical locations

Zhu

Yang

Wei

2015

Environ Sci Pollut Res

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A soil survey was conducted in urban areas from five sites, including Beijing, Baotou, Datong, Fuyang, and Xiantao in China. The objective was to explore the most significant factors that may impact the bioaccessibility of heavy metals (Bio-HMs), including As, Cr, Cu, Pb, and Zn, in soils. Twenty to 30 composite soil samples were collected at each site. The various soil properties, including pH, particle size, Fe/Mn, and organic matter contents, were analyzed. The chemical operated forms of HMs in soils were measured by the Bureau of Reference (BCR) sequential extraction scheme, while the Bio-HMs were determined by the simple bioaccessibility extraction test (SBET) procedure. The concentrations of total heavy metals (T-HMs) in soils from different sites (cities) were in the range as As (5.69-9.86), ) mg/kg. Cu and Pb had higher relative bioaccessibilities (48-70 %) than those of As and Cr (6-15 %), indicating higher health risks of the former than the latter two HMs. The Bio-HMs for various HMs were comparable to the first two or three combined BCR extracted fractions, with an exception of Cu, whose Bio-HMs were larger than the combined three BCR fractions, indicating that Cu was highly accessible in soils as compared with other HMs. Factor analysis showed that all variables, including soil property parameters and BCR extracted fractions, could be represented by three common factors extracted with higher than 0.5 loadings and ∼80 % cumulative contribution to the total variance. Among the three common factors, factor 1, containing mainly pH, texture, and Fe/Mn variables, and factor 3, containing mainly organic matter variable, could be attributed to geographical regions, while factor 2, containing mainly BCR extracted fractions, could be ascribed to relative bioaccessibility of HMs (R-Bio-HMs). Interactive mapping of the main factors and cluster analysis were consistent, which supported the Bsite gathering^of the soil sample pools, suggesting that the BioHMs in soils in different geographical localities were site dependent.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Factors influencing the heavy metal bioaccessibility in soils were site dependent from different geographical locations

Zhu

Yang

Wei

2015

Environ Sci Pollut Res

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“…The development of predictive models for soil Bio-HMs is an active area of study because of the importance of regulating HM bioavailability. However, universal models for Bio-HMs have not yet been identified (Caboche et al 2010;Römkens et al 2009;Rodrigues et al 2013). Although Baotou and Bayan Obo are geographically quite close, these sites differ in their geological backgrounds.…”

Section: Discussionmentioning

confidence: 99%

“…Stepwise regression analysis was used to build predictive models of Bio-HM concentrations. All variables (except pH) were log-transformed because of their log-normal distributions (Rodrigues et al 2013).…”

Section: Total Concentration and Bioaccessibility Of Heavy Metalsmentioning

confidence: 99%

“…Bio-HM depends primarily on HM binding to soil reactive surfaces and is controlled by sorption, complexation, and redox processes. Each of these processes, in turn, is largely controlled by the variability of soil properties, including pH, organic matter, and soil texture (Pelfrene et al 2011;Rodrigues et al 2013). This relationship makes it possible to predict the Bio-HMs of soil (Buchter et al 1989;Ruby et al 1999).…”

Section: Introductionmentioning

confidence: 99%

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Bioaccessibility of heavy metals in soils cannot be predicted by a single model in two adjacent areas

Zhu

Yang

Wei

et al. 2015

Environ Geochem Health

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The objective of this study was to examine whether a single model could be used to predict the bioaccessibility of heavy metals in soils in two adjacent areas and to determine the feasibility of using existing data sets of total metal concentrations and soil property parameters (e.g., pH, total organic carbon, and soil texture) when predicting heavy metal bioaccessibility. A total of 103 topsoil samples were collected from two adjacent areas (Baotou and Bayan Obo). A total of 76 samples were collected from Baotou, and 27 were collected from Bayan Obo. The total and bioaccessible concentrations of arsenic (As), copper (Cu), lead (Pb), and zinc (Zn) were measured following complete composite acid digestion and a simple bioaccessibility extraction test. The average total concentrations of As, Cu, Pb, and Zn were 8. 95, 27.53, 28.40, and 79.50 mg/kg, respectively, in Baotou and 18.12, 30.75, 38.09, and 87.62 mg/kg in Bayan Obo. Except for As, these values were similar in both areas. The average bioaccessible heavy metal concentrations (Bio-HMs) for each target HM were also similar. In Baotou, the average Bio-HM values for As, Cu, Pb, and Zn were 1.16, 3.76, 16.31, and 16.10 mg/kg, respectively, and 1.26, 2.51, 14.31, and 8.68 mg/kg in Bayan Obo. However, the relative bioaccessibilities for each HM in Baotou were greater than those in Bayan Obo, with mean values for Pb, Zn, Cu, and As of 57, 20, 17, and 12 %, respectively, in Baotou and 40, 11, 9, and 8 % in Bayan Obo. In both areas, prediction models were successfully created using heavy metal concentrations and soil physicochemical parameters; however, models of the same target element differed between the areas, which indicated that a common model for both sites does not exist. Bio-HMs were highly affected by soil properties, which were found to differ between the adjacent areas. In addition, soil properties with large variations played major roles in the predictive models. This study highlights the importance of incorporating physical and chemical parameters that vary greatly when building predictive models of heavy metal bioaccessibility in soil. A similarity in soil properties between areas might be a prerequisite for the creation of a common predictive model for soil Bio-HMs.

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Soil Quality and Policy

2018

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Risk assessment for Cd, Cu, Pb and Zn in urban soils: Chemical availability as the central concept

Cited by 114 publications

References 31 publications

Factors influencing the heavy metal bioaccessibility in soils were site dependent from different geographical locations

Factors influencing the heavy metal bioaccessibility in soils were site dependent from different geographical locations

Bioaccessibility of heavy metals in soils cannot be predicted by a single model in two adjacent areas

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