Using remote sensing data and nonlinear methods for hazard analysis of the Middle East aerosols

Aerosols are among the most important of atmospheric pollutants and they are observed  like the microscopic particulate matter (solid and liquid) in the lower parts of the troposphere. From environmental standpoint, have priority the investigation of hazards due to aerosols distribution and predict the movement mechanism of them and will be studied with an emphasis on the Middle East. The main purpose of this study was introduce the new method based on remote sensing results and analysis of fractal statistics until in addition to investigate the origin of aerosols, make survey the movement mechanism and pattern of their distribution in large areas of North Africa and the Middle East. The research results indicate that the pattern of aerosols distribution in Middle East is followed from non-linear patterns with chaotic specifications. To prove it, is used from MODIS sensor Images belongs to America's space agency [NASA] until the needed photo-maps are produced that consists of aerosols optical thickness (AOT), changes in nitrogen dioxide (NO2) and carbon monoxide (CO). Spatial analysis of data and seasonal - annual compare of them with together, is represent a exponential relative relationship in aerosols dispersion pattern. So with use of variance-distance equation ( Mark and Aronson (1984)), besides demonstrating the relationship between atmospheric pollutants Iran, Iraq and Saudi Arabia with climatic changes in North Africa, two climatic regime of hot and cold, were compared according to the energy content and chemical composition of different seasons. In practice, bodieds of aerosols and industrial pollutants of area is functional of seasonal changes and chaotic behavior of them in the cool months is greater than the warm months. Therefore, the environmental hazards of winter regimes is more than of summer regimes. Also, changes the fractal dimension (especially at the brownian distribution level of optical thickness), the possibility of check the remote sensing criteria has provided on the based of  the fractal geometry principles,whereby, has been introduced the  new approach to predict the cumulative behavior and movement pattern of aerosols in Middle East .