[Home ] [Archive]    
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: 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:   (845 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]   (342 Downloads)    
Type of Study: Research | Subject: Special
1. Rezaeian M, Moghadam MT. Determination of Heavy Metal in Agricultural Soils near and Far From the Cement Factory in Tehran, Iran. Iran J Toxicol 2016;10(5):23-6.
2. Sakizadeh M, Mirzaei R, Ghorbani H. Accumulation and Soil-to-Plant Transfer Factor of Lead and Manganese in some Plant Species in Semnan Province, Central Iran. Iran J Toxicol 2016;10(3):29-33.
3. Ganjali S, Ghasemi A. Heavy Metal Contamination in the Sediments of Anzali International Wetland, Northern Iran Based on Type Regional Development. Iran J Toxicol 2016;10(5):1-6.
4. De-Vitry C, Vann J, Arvidson H, editors. A guide to selecting the optimal method of resource estimation for multivariate iron ore deposits. Proceedings of the Iron Ore Conference; 2007: Citeseer.
5. Chai X, Huang Y, Yuan X. Accuracy and uncertainty of spatial patterns of soil organic matter. New Zeal J Agr Res 2007;50(5):1141-8. [DOI:10.1080/00288230709510396]
6. Larocque G, Dutilleul P, Pelletier B, Fyles JW. Conditional Gaussian co-simulation of regionalized components of soil variation. Geoderma 2006;134(1):1-16. [DOI:10.1016/j.geoderma.2005.08.008]
7. Yao R, Yang J, Shao H. Accuracy and uncertainty assessment on geostatistical simulation of soil salinity in a coastal farmland using auxiliary variable. Environ Monit Assess 2013;185(6):5151-64. [DOI:10.1007/s10661-012-2932-2]
8. Guastaldi E, Del Frate AA. Risk analysis for remediation of contaminated sites: the geostatistical approach. Environ Earth Sci 2012;65(3):897-916. [DOI:10.1007/s12665-011-1133-6]
9. Sakizadeh M, Mirzaei R, Ghorbani H. The Extent and Prediction of Heavy Metal Pollution in Soils of Shahrood and Damghan, Iran. Bull Environ Contam Toxicol 2015;95(6):770-6. [DOI:10.1007/s00128-015-1632-3]
10. Sakizadeh M, Mirzaei R, Ghorbani H. Support vector machine and artificial neural network to model soil pollution: a case study in Semnan Province, Iran. Neural Comput Applic 2016; 3:1-10.
11. Lin W-C, Lin Y-P, Wang Y-C. A decision-making approach for delineating sites which are potentially contaminated by heavy metals via joint simulation. Environ Pollut 2016;211:98-110. [DOI:10.1016/j.envpol.2015.12.030]
12. Raco B, Dotsika E, Battaglini R, Bulleri E, Doveri M, Papakostantinou K. A quick and reliable method to detect and quantify contamination from MSW landfills: a case study. Water Air Soil Pollut 2013;224(3):1380-1. [DOI:10.1007/s11270-012-1380-5]
13. Barca E, Castrignanò A, Buttafuoco G, De Benedetto D, Passarella G. Integration of electromagnetic induction sensor data in soil sampling scheme optimization using simulated annealing. Environ Monit Assess 2015;187(7):422-33. [DOI:10.1007/s10661-015-4570-y]
14. Webster R, Oliver MA. Geostatistics for environmental scientists: John Wiley & Sons; 2007. [DOI:10.1002/9780470517277]
15. Verly G. Sequential Gaussian cosimulation: a simulation method integrating several types of information. Geostatistics Troia'92: Springer; 1993. p. 543-54.
16. Hohn ME. Geostatistics and Petroleum Geology. Kluwer Academic Publishers; 1999. [DOI:10.1007/978-94-011-4425-4]
17. Clayton D, André J. GSLIB-Geostatistical software library and user's guide. Technometrics; 1998.
18. Goovaerts P. Geostatistical modelling of uncertainty in soil science. Geoderma 2001;103(1):3-26. [DOI:10.1016/S0016-7061(01)00067-2]
19. Liu X, Xu J, Zhang M, Zhou B. Effects of land management change on spatial variability of organic matter and nutrients in paddy field: a case study of Pinghu, China. Environ Manag 2004;34(5):691-700. [DOI:10.1007/s00267-004-0053-6]
20. Kelepertsis A, Alexakis D, Kita I. Environmental geochemistry of soils and waters of Susaki area, Korinthos, Greece. Environ Geochem Hlth 2001;23(2):117-35. [DOI:10.1023/A:1010904508981]
21. Shewry P, Peterson P. Distribution of chromium and nickel in plants and soil from serpentine and other sites. J Eol 1976:195-212.
22. Alloway BJ. Heavy Metals in Soils: Trace Metals and Metalloids in Soils and their bioavailability; 2012.
23. Namaghi HH, Karami GH, Saadat S. A study on chemical properties of groundwater and soil in ophiolitic rocks in Firuzabad, east of Shahrood, Iran: with emphasis to heavy metal contamination. Environ Monit Assess 2011;174(1-4):573-83. [DOI:10.1007/s10661-010-1479-3]
24. Ardejani FD, Shokri BJ, Moradzadeh A, Soleimani E, Jafari MA. A combined mathematical geophysical model for prediction of pyrite oxidation and pollutant leaching associated with a coal washing waste dump. Int J Environ Sci Tech 2008;5(4):517-26. [DOI:10.1007/BF03326049]
25. Doulati Ardejani F, Jodieri Shokri B, Moradzadeh A, Shafaei SZ, Kakaei R. Geochemical characterisation of pyrite oxidation and environmental problems related to release and transport of metals from a coal washing low-grade waste dump, Shahrood, northeast Iran. Environ Monit Assess 2011;183(1):41-55. [DOI:10.1007/s10661-011-1904-2]
26. Mermut A, Jain J, Song L, Kerrich R, Kozak L, Jana S. Trace element concentrations of selected soils and fertilizers in Saskatchewan, Canada. J Environ Qual 1996;25(4):845-53. [DOI:10.2134/jeq1996.00472425002500040028x]
27. Kabata-Pendias A, Mukherjee AB. Trace elements from soil to human: Springer Science & Business Media; 2007. [DOI:10.1007/978-3-540-32714-1]
Send email to the article author

Add your comments about this article
Your username or Email:

Write the security code in the box >

XML     Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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
Persian site map - English site map - Created in 0.05 seconds with 31 queries by YEKTAWEB 3660