USING REMOTE SENSING DATA AND NONLINEAR METHODS FOR HAZARD ANALYSIS OF THE MIDDLE EAST AEROSOLS

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MEHRNIA SEYED REZA; ABBASZADEH SAEED

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Journal: ENVIRONMENTAL HAZARDS MANAGEMENT Year:2016 | Volume:3 | Issue:2 Page(s): 95-108

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Title

USING REMOTE SENSING DATA AND NONLINEAR METHODS FOR HAZARD ANALYSIS OF THE MIDDLE EAST AEROSOLS

Author(s)

MEHRNIA SEYED REZA | ABBASZADEH SAEED | Issue Writer Certificate

Keywords

AEROSOLQ1

FRACTAL ANALYSISQ1

NONLINEAR DISTRIBUTIONQ2

MIDDLE EASTQ1

Abstract

AEROSOLs are among the most important atmospheric pollutants like the microscopic particulate matter (solid and liquid) in the lower parts of the troposphere. From environmental standpoint, this study attempts to investigate the hazards by AEROSOLs distribution and predict the movement mechanism of them with emphasis on the MIDDLE EAST. The main purpose of this study was to introduce a new method based on remote sensing results and analysis of fractal statistics in addition to investigation on the origin of AEROSOLs, making survey about 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 by non-linear patterns with chaotic specifications. To prove this, we used MODIS Images of American space agency [NASA] until the needed photo-maps are containing AEROSOLs optical thickness (AOT), changes in nitrogen dioxide (NO2) and carbon monoxide (CO). Spatial analysis of data and seasonal - annual comparison of them is represented an exponential relative relationship in AEROSOLs dispersion pattern. Therefore, with use of variance-distance equation, addition to demonstrating the relationship between atmospheric pollutants in Iran, Iraq and Saudi Arabia with climatic changes in North Africa, two climatic regimes of hot and cold were compared according to the energy content and chemical composition of different seasons. In practice, bodies of AEROSOLs and industrial pollutants of the area is functional to seasonal changes and chaotic behavior of them in the cool months is greater than the warm months. Therefore, the environmental hazards of winter regimes are more than that of summer regimes. Also, changes in the fractal dimension (especially at the brown distribution level of optical thickness) alter the possibility to check the remote sensing criteria. This has been provided on the basis of the fractal geometry principles. The new approach is introduced to predict the cumulative behavior and movement pattern of AEROSOLs in MIDDLE EAST.

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APA: Copy

MEHRNIA, SEYED REZA, & ABBASZADEH, SAEED. (2016). USING REMOTE SENSING DATA AND NONLINEAR METHODS FOR HAZARD ANALYSIS OF THE MIDDLE EAST AEROSOLS. ENVIRONMENTAL HAZARDS MANAGEMENT, 3(2 ), 95-108. SID. https://sid.ir/paper/265055/en

Vancouver: Copy

MEHRNIA SEYED REZA, ABBASZADEH SAEED. USING REMOTE SENSING DATA AND NONLINEAR METHODS FOR HAZARD ANALYSIS OF THE MIDDLE EAST AEROSOLS. ENVIRONMENTAL HAZARDS MANAGEMENT[Internet]. 2016;3(2 ):95-108. Available from: https://sid.ir/paper/265055/en

IEEE: Copy

SEYED REZA MEHRNIA, and SAEED ABBASZADEH, “USING REMOTE SENSING DATA AND NONLINEAR METHODS FOR HAZARD ANALYSIS OF THE MIDDLE EAST AEROSOLS,” ENVIRONMENTAL HAZARDS MANAGEMENT, vol. 3, no. 2 , pp. 95–108, 2016, [Online]. Available: https://sid.ir/paper/265055/en

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