By developing wireless mobile sensors, volunteered geographic information production and social co-operating increase, urban monitoring witnessed a considerable change. On the other hand, air pollution become one of the most important environmental challenge of Tehran and tackling it is not possible unless knowing the pollutants and their sources. Accurate investigation of spatial distribution of pollutants in cities requires development of spatial variability models of pollutants. But, high cost of developing and keeping of Air Quality Monitoring Network (AQMN) is one of the biggest problems in front of councils in developing such monitoring stations in cities. In this research, in addition to designing and building a mobile carbon monoxide monitoring system and calibrating it in the lab, data of pollutants concentration in 4 time periods in district 6 of Tehran was collected. Then by using land use regression method the spatial distribution model of this pollutant for the investigated area in each time period was determined. To reach this achievement, different environmental factors such as land use, Roads, elevation and traffic as independent factors and the measured pollutant concentration as dependent factor were applied to the mentioned model. Finally, this research led to provide carbon monoxide pollution maps for the investigated area, which are useful in finding high risk locations. Evaluating the statistical parameters show that in estimating pollutant concentration of different urban districts, the suggested method is practical to some extends.