en تخصصي Special Original articles <div style="text-align: justify;"><strong><em>Introduction:</em></strong> The present study aimed to compare the performance of two widely-used models for spatial assessment of particulate matter less than 10 microns (PM₁₀) in ambient air of Yazd city. Finally, effective factors on concentrations of pollutants and corresponding standards were investigated.<br> <strong><em>Materials and Methods:</em></strong> A number of 13 sampling stations were employed in different areas of Yazd to sample PM₁₀ within two seasons of winter and spring of 2012 and 2013. PM₁₀ was measured by HAZ-DUST EPAM-5000 particulate air monitor. In order to assess the efficiency of Kriging and Inverse Distance Weighting (IDW) models for PM₁₀ zoning, the statistical Root Mean Square Error (RMSE) and %RMSE methods were used in the Arc GIS software version 10.1.<br> <strong><em>Results:</em></strong> The highest (297 &micro;g/m³) and lowest concentrations (35.8 &micro;g/m³) of&nbsp; PM₁₀ in spring were found in high-traffic historical regions and low-traffic suburban areas, respectively. High-traffic and historical regions had higher levels of PM₁₀ compared to other regions. Given the values of RMSE and %RMSE indicators, Kriging interpolation method was better for zoning of the pollutant PM₁₀ in both winter and spring.<br> <strong><em>Conclusion:</em> </strong>According to higher concentration of PM₁₀ compared to WHO standard values particularly in spring, necessary actions and solutions should be taken for the pollution reduction. This study indicated that Kriging model has a better efficiency for spatial analysis of suspended particles, compared to IDW method.</div> Suspended Particles, Interpolation, Kriging Model, Geographic Information, Yazd City. 379 387 http://jehsd.ssu.ac.ir/browse.php?a_code=A-10-1-62&slc_lang=en&sid=1 Mohammad Hassan Ehrampoush No Environmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Sara Jamshidi No Environmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Mohammad Javad Zare Sakhvidi No Occupational Health Research Center, Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Mohammad Miri Yes Environmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.