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"Investigation of Severe Dust Storms over Baghdad City by Using Remote " by Ali A. Attiya and Brian G. Jones

Dust aerosols have serious influences on different sectors such as the economy, climate change, pollution, transportation and public health. Dust storms have increased over the Middle East especially impacting central Iraq lately. The goal of the work is to identify possible dust sources and pathways influencing the study area. Using remote sensing data by employing the monthly average of Aerosol Index (AI-OMI), HYSPLIT model and MODIS satellite to examine potential dust storms sources and their transport pathways through spring season in 2012. The results of aerosol index (AI) values by OMI satellite were high during spring and summer but were low during autumn and winter. AI values are increased in the likely major dust sources including eastern parts of Syria, Kuwait, north Saudi Arabia, southwestern parts of Iran, as well as south and central parts of Iraq. Also, analyses of the HYSPLIT model show possible dust storms sources and predominate directions of dust which can reach Baghd ....

Saudi Arabia , Middle East , Aerosol Index , Aerosol Index Ai , Alipso Satellites , Climate Change , Dust Storms , Hysplit Model , Remote Sensing ,

"Assessment of dust events above Iraq using remote sensing of the atmos" by Ali A. Attiya


Abstract
In the previous three decades, environmental and climatic systems have experienced considerable changes. These changes have probably influenced dust events in different areas in the world. Iraq represents one of the exposed regions to dust events. The study aims to (i) describe the spatialtemporal patterns of aerosol index values and dust events variability over Iraq using remote sensing data (AI-TOMS and OMI data with climate factors) and dust observations (suspended dust, rising dust and dust storms), (ii) identify the potential sources and transport pathways of dust storms over Iraq using ground and satellite data, (iii) identify signatures of the physical, mineralogical and chemical characteristics of chosen dust storms using grain size, XRD and XRF analyses and identify their possible sources using backward trajectories from the HYSPLIT model. ....

Syrian Desert , Ad Dahna , Ash Sharqiyah , Saudi Arabia , Saudi Arabia General , Al Jazeera , Southern Deserts , North African , North Africa Desert , An Nafud Desert , Western Deserts , Dust Storms , Aerosol Index , Hysplit Model , Remote Sensing , Arc Gis , சிரிய பாலைவனம் , சவுதி அரேபியா , சவுதி அரேபியா ஜநரல் , அல் ஜஜீர , தெற்கு பாலைவனங்கள் , மேற்கு பாலைவனங்கள் , தூசி புயல்கள் , தூசிப்படலம் குறியீட்டு , தொலைநிலை உணர்தல் , வில் கீச் ,