A Protocol for Pollution Index, Source Identification, and Spatial Analysis of Heavy Metals in Top Soil

• Main Authors: Amir Mohammadi, Sepideh Nemati Mansour, Maryam Faraji, Ali Abdolahnejad, Ali Toolabi, Moahammad Miri
• Format: Article
• Language: English
• Published: Shahid Sadoughi University of Medical Sciences 2020-12-01
• Series: Journal of Environmental Health and Sustainable Development
• Subjects: environmental pollution; metals; heavy; spatial analysis; moran's model.
• Online Access: http://jehsd.ssu.ac.ir/article-1-285-en.html
• ISSN: 2476-6267; 2476-7433

Introduction: This study aimed to assess a good protocol for the contamination indexes, concentration, spatial analysis, and source identification of toxic metals in top soils. Materials and Methods: In the first step, samples were taken from top soil (30 cm) and the metals were extracted and detected with ICP-AES. In the second step, Enrichment Factor, Geoaccumulation Index, and Contamination Factor of metals were calculated to determine soil contamination degree. Furthermore, the principal component analysis and correlation between metals were conducted for source identification. Results: Spatial analysis, as an important section of the present protocol, was performed using Arc GIS, kriging, and Moranchr('39')s I models. As results of Moranchr('39')s I model showed, distribution pattern for Fe, As, Cd, Cu, Ni, Pb, and Zn were random (z-scores ranged from -1.17 to 1.09), indicatingthat these elements could be emitted from different potential sources. In Moranchr('39')s model, spatial autocorrelation of each pollutant could be measured based on its value and location. Conclusion: The finding of this protocol can be used for extraction of contamination indexes, concentration, spatial analysis, and source identification of toxic metals in top soils.