spatial analysis and source identification of pm10 particle matter in yazd

Abstractintroduction: this study aimed to spatially analyze pm10 concentrations in the ambient air in yazd during two seasons, and mapping by the using kriging interpolation method. moreover, different factors affecting the concentrations of pm10were marked and standards were also investigated. materials and methods: measurement of pm10 particulates was performed by the monitoring device haz-dust epam 5000. in the present study, 13 sampling stations were identified in various areas of the city in order to take samples of pm10 in winter and spring in 2013. eventually, arc gis software, kriging interpolation method and spatial autocorrelation were used for pm10 spatial distribution.results: the spring seasonal mean of pm10 (155?g/m3) was reported to be higher than its amount in winter (27.87?g/m3). at 11 stations (out of 13 stations), pm10concentrations were higher than the who standards in winter. seasonal mean of pm10 concentrations in spring exceeded who standards in all stations. particulate matter levels were higher in high-traffic and old areas compared to other regions. rmse index was reported 45.493 and 56.525 in winter and spring, respectively.conclusion: pm10 concentration revealed the random spatial pattern in the two seasons. this study revealed traffic and historical places affecting the pm10 concentration.