الفهرس 
Estimating Air Particulate Matter Using MODIS data And Numerical Model
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Abstract
Greater Cairo (GC) area in Egypt is one of a developing megacity in world. Cairo has serious air quality problems. It is caused by high levels of anthropogenic activities including transportation, industry, and agricultural biomass burning events, in addition to natural particulate matter sources like arid surfaces’ wind erosion and seasonal aerosols including dust particles delivered from the West Desert.The present thesis aims to study one of the main air pollutants is particulate matter (PM10). Particulate matter (PM10) measured by several pollution stations distributed around the Greater Cairo and I also used Particulate matter (PM10) from Numerical Model (NASA{u2019}s Modern-era Retrospective Analysis for Research and Applications version2, MERRA-2).The results showed that PM10 concentrations were generally high, with yearly average.The high PM10 levels were due to many sources such as traffic, waste burning and windblown dust particles emitted from the desert outside GC and the Moqattam hill inside GC.The PM concentrations were highest in inside GC in the industrial areas and highest values in spring and winter then autumn season and the lowest seasonal concentrations were recorded in the summer season .And also this thesis studies the aerosol concentrations over Cairo through the analysis of the surface PM10 concentrations with Aerosol optical depth (AOD) from Moderate Resolution Imaging Spector radiometer (MODIS) TERRA and AQUA, and the Aerosol Robotic Network (AERONET). Besides validation for Numerical Model (MERRA-2) with the is-situ PM10 concentrations