oa Application a statistical method for simulating PM10 concentrations distribution in urban receptors: Case study of Tehran

The achievement of air quality standards (AQS) is the main concern of air quality managers. In the semi arid and arid areas such as Qatar, dust storms release large amounts of particulate into the atmosphere every year, which can cause serious health problems such as lung irritation, allergic reactions, eye infections, meningitis. The present research aims at simulating PM10 concentrations distribution in Tehran by lognormal statistical distribution method during a bit more than 2-year period (2011-19 January 2013). With respect to statistical properties of air pollutants, the number of exceeding daily average concentrations from assigned air quality standards (AQS) can be estimated, as well as the level of reduction in current emission sources of PM10 required in order to meet the AQS. The results show that the distribution of PM10 concentration could be in?uenced by local meteorological conditions in di?erent seasons .In addition, the emission sources reduction of PM10 concentration to meet the air quality standard (PM10> 50µg/m3) for Fath's station is successfully predicted.