Arid
SPATIOTEMPORAL MODELLING OF DUST STORM SOURCES EMISSION IN WEST ASIA
Khodabandehloo, E.1; Alimohamdadi, A.1; Sadeghi-Niaraki, A.1; Boloorani, A. Darvishi2; Alesheikh, A. A.1
通讯作者Khodabandehloo, E.
会议名称2nd International Conference on Sensors and Models in Photogrammetry and Remote Sensing (SMPR)
会议日期OCT 05-08, 2013
会议地点Tehran, IRAN
英文摘要

Dust aerosol is the largest contributor to aerosol mass concentrations in the troposphere and has considerable effects on the air quality of spatial and temporal scales. Arid and semi-arid areas of the West Asia are one of the most important regional dust sources in the world. These phenomena directly or indirectly affecting almost all aspects life in almost 15 countries in the region. So an accurate estimate of dust emissions is very crucial for making a common understanding and knowledge of the problem. Because of the spatial and temporal limits of the ground-based observations, remote sensing methods have been found to be more efficient and useful for studying the West Asia dust source. The vegetation cover limits dust emission by decelerating the surface wind velocities and therefore reducing the momentum transport. While all models explicitly take into account the change of wind speed and soil moisture in calculating dust emissions, they commonly employ a "climatological" land cover data for identifying dust source locations and neglect the time variation of surface bareness. In order to compile the aforementioned model, land surface features such as soil moisture, texture, type, and vegetation and also wind speed as atmospheric parameter are used. Having used NDVI data show significant change in dust emission, The modeled dust emission with static source function in June 2008 is 17.02% higher than static source function and similar result for Mach 2007 show the static source function is 8.91 % higher than static source function. we witness a significant improvement in accuracy of dust forecasts during the months of most soil vegetation changes (spring and winter) compared to outputs resulted from static model, in which NDVI data are neglected.


英文关键词Dust spatiotemporal modeling NDVI regional model GIS
来源出版物SMPR CONFERENCE 2013
ISSN2194-9034
出版年2013
卷号40-1-W3
页码235-239
EISBN*****************
出版者COPERNICUS GESELLSCHAFT MBH
类型Proceedings Paper
语种英语
国家Iran
收录类别CPCI-S
WOS记录号WOS:000358307700042
WOS关键词AEROSOL ; CYCLE
WOS类目Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/301861
作者单位1.KN Toosi Univ Tech, Fac Geodesy & Geomat Eng, GIS Dept, Tehran, Iran;
2.Univ Tehran, Fac Geog, Dep Remote Sensing & GIS, Geoinformat Res Inst UT RGI, Tehran 14174, Iran
推荐引用方式
GB/T 7714
Khodabandehloo, E.,Alimohamdadi, A.,Sadeghi-Niaraki, A.,et al. SPATIOTEMPORAL MODELLING OF DUST STORM SOURCES EMISSION IN WEST ASIA[C]:COPERNICUS GESELLSCHAFT MBH,2013:235-239.
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