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Spatial patterns of heavy metals in soil under different geological structures and landuses for assessing metal enrichments.


Amiri, Fazel and Pradhan, Biswajeet and Mohamed Shariff, Abd Rashid and Khoda Krami, Loghman and Sefiyanian, Alireza and Tabatabaie, Tayebeh (2013) Spatial patterns of heavy metals in soil under different geological structures and landuses for assessing metal enrichments. Environmental Monitoring and Assessment, 185 (12). pp. 9871-9888. ISSN 0167-6369


One hundred and thirty composite soil samples were collected from Hamedan county, Iran to characterize the spatial distribution and trace the sources of heavy metals including As, Cd, Co, Cr, Cu, Ni, Pb, V, Zn, and Fe. The multivariate gap statistical analysis was used; for interrelation of spatial patterns of pollution, the disjunctive kriging and geoenrichment factor (EFG) techniques were applied. Heavy metals and soil properties were grouped using agglomerative hierarchical clustering and gap statistic. Principal component analysis was used for identification of the source of metals in a set of data. Geostatistics was used for the geospatial data processing. Based on the comparison between the original data and background values of the ten metals, the disjunctive kriging and EFG techniques were used to quantify their geospatial patterns and assess the contamination levels of the heavy metals. The spatial distribution map combined with the statistical analysis showed that the main source of Cr, Co, Ni, Zn, Pb, and V in group A land use (agriculture, rocky, and urban) was geogenic; the origin of As, Cd, and Cu was industrial and agricultural activities (anthropogenic sources). In group B land use (rangeland and orchards), the origin of metals (Cr, Co, Ni, Zn, and V) was mainly controlled by natural factors and As, Cd, Cu, and Pb had been added by organic factors. In group C land use (water), the origin of most heavy metals is natural without anthropogenic sources. The Cd and As pollution was relatively more serious in different land use. The EFG technique used confirmed the anthropogenic influence of heavy metal pollution. All metals showed concentrations substantially higher than their background values, suggesting anthropogenic pollution.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1007/s10661-013-3298-9
Keywords: Heavy metals; Spatial variability; Land use patterns; Geostatistics; Multivariate statistics; Gap statistical analysis
Depositing User: Muizzudin Kaspol
Date Deposited: 23 Jun 2014 08:41
Last Modified: 23 Jun 2014 08:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s10661-013-3298-9
URI: http://psasir.upm.edu.my/id/eprint/28489
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