Pollution is one of the most harmful problems which is mainly due to the improper use of natural resources and the use of fossil fuels. Dust phenomenon is among the most serious environmental problems in various parts of the world. Depending on the origin and route of movement, dust particles have high ability to efficiently carry heavy metals. Due to their harmful effects, heavy metals are considered a major atmospheric problem in big cities. For years, biological indicators have been employed to monitor air pollution and its changes over long periods of time. These indicators are used because of their low cost and also their easiness to use to measure the concentration of heavy metals in the atmosphere. Trees, as living organisms with long life, show the cumulative effects of environmental pollution of soil and atmosphere. This study aimed to investigate the feasibility of employing the magnetic susceptibility of plane tree leaves for biomonitoring the concentration of heavy metals in the atmosphere of Tehran. Leaves of plane tree leaves were sampled on a monthly basis from April to October 2015 from 31 locations in Tehran. In the laboratory, samples were divided into two subsamples including leaves thoroughly washed with water and those kept intact. The concentration of heavy metals and magnetic susceptibility were determined in leaf samples. The magnetic susceptibility of leaf samples was determined using a MS2B sensor. The total concentration of Pb, Zn, Mn, Ni, Cu, Fe, Co was determined by an atomic absorption spectrometer after digestion with acid. Spatial distribution maps of the concentration of heavy metals were prepared using Arc GIS 10 software. Results of the study on heavy metals Ni, Cu, Zn, Mn, Fe, Pb and Co in leaves showed that the concentration of metals at the beginning of the sampling period was low and reached its maximum in August and September. The concentration of elements in unwashed samples was much higher than that in unwashed leaves indicating a high concentrations of heavy metals in dust absorbed by plant leaves. Statistical comparison showed that washing the samples with distilled water could significantly reduce the concentration of all the elements in leaf samples. Concentration of heavy metals and magnetic susceptibility in plane tree leaves show statistically significant differences between washed and unwashed samples in all the sampling times. Among the 8 heavy metals studied, the concentration of Cd was below the detection limit of atomic absorption spectrometer. The occurrence of heavy rains in September and October could significantly remove the amount of dust accumulated on the leaves, and thus change the increasing trend of the concentration of heavy metals in unwashed and washed leaves. Spatial distribution maps of all the heavy metals, except for those of Ni and Mn, and those of magnetic parameters showed higher concentration of heavy metals in the city center and also i the eastern part of the city indicating the effects of human activities, especially the vehicles traffic. Higher concentration of Ni and Mn in the southern part of the city indicates that the source of these metals is different from that of other metals and they derive from both human and natural sources. Spearman correlation coefficients between the concentration of heavy metals and magnetic parameters in unwashed and washed leaves were calculated indicating a good relationship between the parameters. Such highly significant correlations well indicate that plane tree leaves can be used as a bio-indicator to evaluate the level of atmospheric pollution with heavy metals, especially during the period with no rain and when leaf growth has reached to a certain level. Also, The high correlation between magnetic parameters and the concentration of heavy metals in the dust accumulated on plane tree leaves and similarities between the maps of the spatial distribution of magnetic susceptibility and heavy metals show that biomagnetic properties of plane tree leaves can be used as a useful, inexpensive, quick and simple approach to estimate the pollution of heavy metals Cu, Zn, Pb, Mn and Fe in atmospheric dust in urban areas and to recognize the highly polluted areas. Keywords : Biological indicators, Heavy metals, Magnetic susceptibility, Spatial and temporal distribution, Tehran