The investigation of the anthropogenic contamination by heavy metals of soils is very important for environmental planning and monitoring in urban areas. In the present study, surface soils (0-20 cm) samples from 167 sampling sites in Xuzhou (China) were collected in 2010 and analyzed for heavy metals including Zn, Pb, Fe, Mn, Cu, Cd, Sr, Ba Cr, Ni and Mo via inductively coupled plasma/mass spectrometry (ICP-MS). Compared with their levels in natural soils of China, these metals investigated exhibited a slight build-up in Xuzhou topsoils. The multivariate statistical analyses including factor analysis (FA) and cluster analysis (CA) were performed. The obtained results enabled the identification of two main groups of metals, discriminating Ni, Mo and Cr from Zn, Pb, Fe, Mn, Cu, Cd, Sr and Ba. Signifcant associations between Pb, Zn, Fe and specific magnetic susceptibility (c) indicated that specific susceptibility can serve as proxies for these metals levels in Xuzhou urban soils.
Heavy metals continue to receive increasing attention due to the better understanding of their toxicological importance in ecosystems and human health. Urban soils are the “recipients” of large amounts of heavy metals from a variety of sources including industrial wastes, vehicle emissions, coal burning waste and other activities and accordingly have become an increasingly important environmental sampling medium for assessing anthropogenic heavy metals levels [
During recent years, measurement of magnetic susceptibility has become a general and accepted method to map pollution. Numerous studies have employed magnetic parameters, often exclusively specific susceptibility (c) measurements, to provide a cost effective way to prospect for signs of industrial atmospheric particulate pollution [13 and references therein]. Many studies have linked anthropogenic magnetic enhancement with heavy metal contamination and significant positive correlations have been found [13-17]. Petrovsky et al. [
Xuzhou is a highly industrialised city in China. We have reported the PAHs and black carbon containation in Xuzhou urban topsoils [18,19]. The objectives of the present study were 1) to characterize the Zn, Pb, Cu, Ba, Ni, Mo, Cr, Mn, Cd, Sr and Fe concentrations in topsoils; 2) to examine the feasibility of using the magnetic susceptibility for the heavy metal pollution assessment of urban topsoils in Xuzhou.
The study area, the city of Xuzhou, is located in the north western part of Jiangsu, one of the provinces of China, the geographical position being 33˚43¢N to 34˚58¢N, 116˚22¢E to 118˚40¢E.
Surface soils (0 - 20 cm) were collected within the city of Xuzhou in 2010.
of three subsamples collected from the surrounding area of each site (within 1 m2). All of the samples were freeze-dried and sieved to <2 mm after removing stones and residual roots, then stored in desiccators.
One 0.2 g aliquot was completely dissolved with HNO3 (5 ml), HF (5 ml) and HClO4 (3 ml) acid mixture for around 5 h on a hot plate and refluxed with the acid mixture if the sample was only partly dissolved. The residue was solubilized with 2% HNO3 and diluted to volume. All reagents and acids (Fuchen, Shanghai) were suprapure or pro-analysis quality. Zn, Pb, Fe, Mn, Cu, Cd, Sr, Ba Cr, Ni and Mo concentrations were measured by inductively coupled plasma—mass spectrometry (ICPMS, Bruker 820-MS, Germany).
All glassand plastic-wares were soaked overnight in a 10% nitric acid solution and rinsed thoroughly with deionized water before use. Precision and accuracy for HM concentrations were determined using certified reference materials (CRMs). Two soil samples (ESS-3, GSBZ50013-88 and ESS-4, GSBZ500014-88)) certified by the China Institute for Environmental Reference Materials (IERM) and a solution sample (GSB04-1767- 2004) certified by the China National Centre of Analysis and Testing for Nonferrous Metals and Electronic Materials (NCATN) were used.
Magnetic susceptibility (c, 10−8 m3/kg) was measured using a dual-frequency (470 and 4700 Hz) Bartington Instruments MS2 susceptibility meter.
The analytical results were compiled to form a multielemental database using SPSS 16.0 (Statistical Product and Service Solutions, SPSS Inc., USA). Statistical analyses including factor analysis (FA), cluster analysis (CA) and Pearson correlation analysis were performed using SPSS statistical software. In the FA, Varimax with Kaiser normalization was used as the rotation method in the analysis. Since the elemental concentrations varied greatly among the heavy metals, the raw data were standarded before the execution of clustering in CA. The data were standardized to the Z score (with a mean of 0 and a standard variation of 1) and then classified with the clustering method [
The results of a cluster analysis of the 167 soil samples are illustrated with the dendrogram in
The results of the FA are presented in
The spatial distribution of heavy metals in soils was analysed using the program SURFER 8 (Golden Software Inc.). The metal concentrations were first interpolated with the Kriging method. The spatial distribution of
aMean values of different natural soils of China [
Extraction method: principal component analysis; Rotation method: varimax with Kaiser normalization. Rotation converged in 3 iterations.
heavy metals in this study area is shown in
In agreement to FA and CA results, the spatial distribution analysis suggests that the increase of Pb, Fe, Cu, Cd and Zn probably came from a common anthropogenic source. Previous studies have demonstrated that Zn, Pb and Cu in Xuzhou urban topsoils were principally from traffic emissions [
The spatial distribution of Cr, Ni and Mo suggests that their distribution pattern could be mainly controlled by parent material.
To examine the relationships between the heavy metals and mass specific susceptibility, a correlation table (Pearson coefficients) has been established (
The heavy metals concentrations in Xuzhou urban topsoils were slightly higher than those of natural soils in
**Correlation is significant at the p < 0.01 level (two tailed).
China. Results of combined multivariate statistical analyses (FA and CA) and the distribution patterns suggested that heavy metals including Zn, Pb, Fe, Mn, Cu, Cd, Sr and Ba were mainly derived from anthropogenic emissions. Significant correlations between Zn, Pb, Fe and c suggest that specific susceptibility can serve as proxies for these metals levels in Xuzhou urban soils.
The material is based upon work supported by the National Natural Science Foundation of China (20977040).