Knowledge Resource Center for Ecological Environment in Arid Area
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 |
ISSN | 2194-9034 |
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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