Air pollution is one of the major problems in urban environments. Environmental pollution is mainly due to the improper use of natural resources and the use of fossil fuels. Dust phenomenon is one of the most important environmental issues in arid and semi-arid regions of the world. Plants are an effective indicator of the impact of contamination sources in their vicinity, because most plants have the ability to trap and absorb heavy metals at their surfaces. That is why plants can be used for passive biomonitoring with low sampling costs to measure environmental pollution. Since Kermanshah is one of the western provinces of the country located very close to the border with Iraq, it could be exposed to the hazardous material transferred by winds originating from the west. Due to the presence of industries, factories ,and refineries, the city has a great potential to become one of the cities with high atmospheric dust pollution. The aim of this study was (i) to investigate the biomonitoring potential of leaves of lane and acacia trees (ii) to determine the appropriate species among the dominant tree species in Kermanshah, (iii) to compare the adsorption capacity of heavy metals and the magnetic susceptibility of acacia and plane trees as well as the surface soils, (iv), and to determine the temporal and spatial distribution patterns of atmospheric deposition on the surfaces of tree leaves in Kermanshah. Twenty four sites were selected randomly in the urban area of Kermanshah. Leaf amples from both trees were taken monthly from all the 24 sites for a period of seven months (April to October 2016), and surface soil (0-10 cm) sampling was carried out only once.. In the laboratory, leaf samples were randomly divided into two subsamples, one of which was washed with distilled water while the other was kept unwashed. The magnetic susceptibility measurement of leaves and surface soil samples was performed using a MS2B and the concentration of heavy metals such as Fe, Mn, Ni, Pb, Co, Cu, Zn and Mn after dry digestion and that of lead after wet digestion was determined using an atomic absorption spectrophotometer. The spatial distribution maps of the mean concentration of heavy metals and magnetic susceptibility of unwashed leaves and soil samples were plotted using ILWIS 3.0 software. The temporal trend of the concentration of heavy metals such as Fe, Mn, Ni, Pb, Co and magnetic susceptibility in washed and unwashed leaves and their difference showed that the concentration of heavy metals and magnetic susceptibility increase from the beginning of the sampling toward the end,. There was a statistically significant difference between the first few months and the last few ones based on the Duncan’s mean comparison test. Due to the small size of young leaf surface, and, consequently, their low ability to keep dust, there was no statistically significantly difference among the first few months. Such trend for Cu and Zn concentration in washed and unwashed leaves was the other side around and no clear trend was found for the difference in the concentration between washed and unwashed leaves. A very Significant difference in the magnetic susceptibility of the unwashed leaves of both plane and acacia species in April with October could be attributed to the influx of different magnetic materials into the dust. Among the heavy metals, Fe has the highest and Co the lowest concentration in plant samples, which is consistent with that of soil samples. There was a positive and significant correlation between the concentration of Fe, Co, Zn and Ni and magnetic susceptibility in unwashed leaves of the plane tree, indicating the same sources for these elements and also magnetic susceptibility. There was also a positive correlation between magnetic susceptibility and the concentration of Fe, Co and Cu in unwashed leaves of acacia tree. Therefore, in case of sufficient growth of leaves to allow to keep pollutants from human and natural sources, using the simple and inexpensive technique of magnetic susceptibility to predict the concentration of metals in plane and acacia trees as bioindicators, and to recognize the polluted areas with heavy metals is proposed. The spatial distribution maps indicated that the concentration of of Fe, Zn, Cu, Ni, and Pb lead and magnetic susceptibility high in the western and eastern areas of the city, which could be due to the high traffic and also the activities of different industries in the eastern side of Kermanshah as well as the west wind direction from the Iraqi side. As a result, the sources of most heavy metals and the magnetic susceptibility are often more anthropogenic than natural. Keywords Air pollution, Biological indicator, Heavy metals, Magnetic susceptibility, Kermanshah