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Ehrampoush M H, Jamshidi S, Zare Sakhvidi M J, Miri M. A Comparison on Function of Kriging and Inverse Distance Weighting Models in PM10 Zoning in Urban Area. J Environ Health Sustain Dev 2017; 2 (4) :379-387
URL: http://jehsd.ssu.ac.ir/article-1-90-en.html

Introduction: 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.
Materials and Methods: 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.
Results: The highest (297 µg/m³) and lowest concentrations (35.8 µg/m³) of  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.
Conclusion: 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.