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:: Volume 11, Issue 3 (May-June 2017) ::
IJT 2017, 11(3): 39-45 Back to browse issues page
A New Method for Spatial Health Risk Assessment of Pollutants
Mohamad Sakizadeh , Hadi Ghorbani
Department of Environmental Sciences, Shahid Rajaee Teacher Training University, Tehran, Iran. , msakizadeh@srttu.edu
Abstract:   (945 Views)

Background: The area of contaminated lands exposed to the health risk of environmental pollutants is a matter of argument. In this study, a new method was developed to estimate the amount of area that is exposed to higher than normal levels of Cr, Mn, and V.

Methods: Overall, 170 soil samples were collected from the upper 10 cm of soil in an arid area in central part of Iran in Semnan Province. The values of Cr, Mn, and V were detected by ICP-OES technique. A geostatistical method known as sequential Gaussian co-simulation was applied to consider the spatial risk of these toxic elements.

Results: The moderate spatial dependence of Cr indicates the contribution of both intrinsic and extrinsic factor to the levels of this heavy metal in the study area, whereas, Mn and V can be attributed to intrinsic factors (such as lithology). There has not been any significant influence due to agricultural practices on the Cr values in the region. The surface of contaminated area for manganese, produced by risk curve on surface method, was higher than chromium and vanadium.

Conclusion: The produced risk curves as rendered in this study can be adopted in similar studies to help managers to estimate the total area that requires cleanup action.

Keywords: Heavy Metals, Risk Assessment, Risk Curve On Surface, Sequential Gaussian Co-Simulation
Full-Text [PDF 588 kb]   (422 Downloads)    
Type of Study: Research | Subject: Special
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Sakizadeh M, Ghorbani H. A New Method for Spatial Health Risk Assessment of Pollutants. IJT. 2017; 11 (3) :39-45
URL: http://ijt.arakmu.ac.ir/article-1-574-en.html


Volume 11, Issue 3 (May-June 2017) Back to browse issues page
مجله سم شناسی و مسمومیتهای ایران Iranian Journal of Toxicology
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