A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran
Abstract The present study was conducted for the spatial distribution and concentration evaluation of heavy metals, including Cu, Cd, Mn, Fe, Zn, and Pb, within 102 soil samples collected from Kushk Mine in Bafgh, Iran. This work employed hierarchical clustering analysis (HCA), principal component a...
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| Format: | Article |
| Language: | English |
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Wiley
2023-07-01
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| Series: | Geoscience Data Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/gdj3.175 |
| _version_ | 1797778224658251776 |
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| author | Zahra Sohrabizadeh Hamid Sodaeizadeh Mohammad Ali Hakimzadeh Ruhollah Taghizadeh‐Mehrjardi Mohammad Javad Ghanei Bafghi |
| author_facet | Zahra Sohrabizadeh Hamid Sodaeizadeh Mohammad Ali Hakimzadeh Ruhollah Taghizadeh‐Mehrjardi Mohammad Javad Ghanei Bafghi |
| author_sort | Zahra Sohrabizadeh |
| collection | DOAJ |
| description | Abstract The present study was conducted for the spatial distribution and concentration evaluation of heavy metals, including Cu, Cd, Mn, Fe, Zn, and Pb, within 102 soil samples collected from Kushk Mine in Bafgh, Iran. This work employed hierarchical clustering analysis (HCA), principal component analysis (PCA), and spatial distribution patterns, to perform element distribution evaluation within the area. The distributions of heavy metals in the entire area were exhibited in the form of maps. The average concentrations of Cd, Cu, Mn, Fe, Zn, and Pb were found to be 0.39, 0.26, 5.3, 4.1, 51.9, and 40.9 mg.kg−1, respectively. Based on the PCA and HCA findings, the heavy metals were divided into two groups. The first group included Pb, Cd, Zn, and Cu. In the first group, altered threshold‐surpassing anthropogenic and lithogenic pollution was found to be the main factor accounting for Pb and Zn. The second group involved Fe and Mn, which could be impacted by either anthropogenic and lithogenic factors. Furthermore, the geo‐statistical results demonstrated higher contents of the heavy metals in the south of the mine and in the vicinity of the mine tailings. It may be concluded from the results that the heavy metal contents of the area are impacted by anthropogenic and lithogenic factors. |
| first_indexed | 2024-03-12T23:15:10Z |
| format | Article |
| id | doaj.art-2b1e664ff6754e0b89e0c4483e86b19e |
| institution | Directory Open Access Journal |
| issn | 2049-6060 |
| language | English |
| last_indexed | 2024-03-12T23:15:10Z |
| publishDate | 2023-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geoscience Data Journal |
| spelling | doaj.art-2b1e664ff6754e0b89e0c4483e86b19e2023-07-17T10:54:43ZengWileyGeoscience Data Journal2049-60602023-07-0110331532710.1002/gdj3.175A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, IranZahra Sohrabizadeh0Hamid Sodaeizadeh1Mohammad Ali Hakimzadeh2Ruhollah Taghizadeh‐Mehrjardi3Mohammad Javad Ghanei Bafghi4Department of Arid Land Management, Faculty of Natural Resources and Desert Study Yazd University Yazd IranDepartment of Arid Land Management, Faculty of Natural Resources and Desert Study Yazd University Yazd IranDepartment of Arid Land Management, Faculty of Natural Resources and Desert Study Yazd University Yazd IranFaculty of Agriculture and Natural Resources Ardakan University Ardakan IranFaculty of Agriculture and Natural Resources Ardakan University Ardakan IranAbstract The present study was conducted for the spatial distribution and concentration evaluation of heavy metals, including Cu, Cd, Mn, Fe, Zn, and Pb, within 102 soil samples collected from Kushk Mine in Bafgh, Iran. This work employed hierarchical clustering analysis (HCA), principal component analysis (PCA), and spatial distribution patterns, to perform element distribution evaluation within the area. The distributions of heavy metals in the entire area were exhibited in the form of maps. The average concentrations of Cd, Cu, Mn, Fe, Zn, and Pb were found to be 0.39, 0.26, 5.3, 4.1, 51.9, and 40.9 mg.kg−1, respectively. Based on the PCA and HCA findings, the heavy metals were divided into two groups. The first group included Pb, Cd, Zn, and Cu. In the first group, altered threshold‐surpassing anthropogenic and lithogenic pollution was found to be the main factor accounting for Pb and Zn. The second group involved Fe and Mn, which could be impacted by either anthropogenic and lithogenic factors. Furthermore, the geo‐statistical results demonstrated higher contents of the heavy metals in the south of the mine and in the vicinity of the mine tailings. It may be concluded from the results that the heavy metal contents of the area are impacted by anthropogenic and lithogenic factors.https://doi.org/10.1002/gdj3.175heavy metalsLatin hypercubelithogenicpollution sourceSolonchaksspatial distribution |
| spellingShingle | Zahra Sohrabizadeh Hamid Sodaeizadeh Mohammad Ali Hakimzadeh Ruhollah Taghizadeh‐Mehrjardi Mohammad Javad Ghanei Bafghi A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran Geoscience Data Journal heavy metals Latin hypercube lithogenic pollution source Solonchaks spatial distribution |
| title | A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran |
| title_full | A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran |
| title_fullStr | A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran |
| title_full_unstemmed | A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran |
| title_short | A statistical approach to study the spatial heavy metal distribution in soils in the Kushk Mine, Iran |
| title_sort | statistical approach to study the spatial heavy metal distribution in soils in the kushk mine iran |
| topic | heavy metals Latin hypercube lithogenic pollution source Solonchaks spatial distribution |
| url | https://doi.org/10.1002/gdj3.175 |
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