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干旱区科学  2015, Vol. 7 Issue (5): 567-578    DOI: 10.1007/s40333-015-0127-8
  学术论文 本期目录 | 过刊浏览 | 高级检索 |
Identification of sand and dust storm source areas in Iran
CAO Hui1,2,3, LIU Jian2, WANG Guizhou4, YANG Guang3,4, LUO Lei3,4
1 Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2 International Ecosystem Management Partnership, United Nations Environment Programme, Beijing 100101, China;
3 University of Chinese Academy of Sciences, Beijing 100049, China;
4 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Identification of sand and dust storm source areas in Iran
CAO Hui1,2,3, LIU Jian2, WANG Guizhou4, YANG Guang3,4, LUO Lei3,4
1 Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2 International Ecosystem Management Partnership, United Nations Environment Programme, Beijing 100101, China;
3 University of Chinese Academy of Sciences, Beijing 100049, China;
4 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
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摘要 Sand and dust storms (SDS) are common phenomena in arid and semi-arid areas. In recent years, SDS frequencies and intensities have increased significantly in Iran. A research on SDS sources is important for understanding the mechanisms of dust generation and assessing its socio-economic and environmental impacts. In this paper, we developed a new approach to identify SDS source areas in Iran using a combination of nine related datasets, namely drought events, temperature, precipitation, location of sandy soils, SDS frequency, human-induced soil degradation (HISD), human influence index (HII), rain use efficiency (RUE) and net primary productivity (NPP) loss. To identify SDS source areas, we firstly normalized these datasets under uniform criteria including layer reprojection using Lambert conformal conic projection, data conversion from shapefile to raster, Min-Max Normalization with data range from 0 to 1, and data interpolation by Kriging and images resampling (resolution of 1 km). After that, a score map for the possibility of SDS sources was generated through overlaying multiple datasets under average weight allocation criterion, in which each item obtained weight equally. In the score map, the higher the score, the more possible a specific area could be regarded as SDS source area. Exceptions mostly came from large cities, like Tehran and Isfahan. As a result, final SDS source areas were mapped out, and Al-Howizeh/Al-Azim marshes and Sistan Basin were identified as main SDS source areas in Iran. The SDS source area in Al-Howizeh/Al-Azim marshes still keeps expanding. In addition, Al-Howizeh/Al-Azim marshes are now suffering rapid land degradation due to natural and human-induced factors and might totally vanish in the near future. Sistan Basin also demonstrates the impacts of soil degradation and wind erosion. With appropriate intensity, duration, wind speed and altitude of the dust storms, sand particles uplifting from this area might have developed into extreme dust storms, especially during the summer.
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CAO Hui
LIU Jian
WANG Guizhou
YANG Guang
LUO Lei
关键词:  the early Holocene  14C dating  OSL dating  lacustrine sediments  Asian summer monsoon  monsoon marginal zones    
Abstract: Sand and dust storms (SDS) are common phenomena in arid and semi-arid areas. In recent years, SDS frequencies and intensities have increased significantly in Iran. A research on SDS sources is important for understanding the mechanisms of dust generation and assessing its socio-economic and environmental impacts. In this paper, we developed a new approach to identify SDS source areas in Iran using a combination of nine related datasets, namely drought events, temperature, precipitation, location of sandy soils, SDS frequency, human-induced soil degradation (HISD), human influence index (HII), rain use efficiency (RUE) and net primary productivity (NPP) loss. To identify SDS source areas, we firstly normalized these datasets under uniform criteria including layer reprojection using Lambert conformal conic projection, data conversion from shapefile to raster, Min-Max Normalization with data range from 0 to 1, and data interpolation by Kriging and images resampling (resolution of 1 km). After that, a score map for the possibility of SDS sources was generated through overlaying multiple datasets under average weight allocation criterion, in which each item obtained weight equally. In the score map, the higher the score, the more possible a specific area could be regarded as SDS source area. Exceptions mostly came from large cities, like Tehran and Isfahan. As a result, final SDS source areas were mapped out, and Al-Howizeh/Al-Azim marshes and Sistan Basin were identified as main SDS source areas in Iran. The SDS source area in Al-Howizeh/Al-Azim marshes still keeps expanding. In addition, Al-Howizeh/Al-Azim marshes are now suffering rapid land degradation due to natural and human-induced factors and might totally vanish in the near future. Sistan Basin also demonstrates the impacts of soil degradation and wind erosion. With appropriate intensity, duration, wind speed and altitude of the dust storms, sand particles uplifting from this area might have developed into extreme dust storms, especially during the summer.
Key words:  the early Holocene    14C dating    OSL dating    lacustrine sediments    Asian summer monsoon    monsoon marginal zones
收稿日期:  2014-11-07      修回日期:  2015-01-16           出版日期:  2015-10-05      发布日期:  2015-06-23      期的出版日期:  2015-10-05
基金资助: 

The Small Scale Funding Agreement (UNEP/ROWA).

通讯作者:  CAO Hui    E-mail:  hui.cao@unep-iemp.org
引用本文:    
CAO Hui, LIU Jian, WANG Guizhou, YANG Guang, LUO Lei. Identification of sand and dust storm source areas in Iran[J]. 干旱区科学, 2015, 7(5): 567-578.
CAO Hui, LIU Jian, WANG Guizhou, YANG Guang, LUO Lei. Identification of sand and dust storm source areas in Iran. Journal of Arid Land, 2015, 7(5): 567-578.
链接本文:  
http://jal.xjegi.com/CN/10.1007/s40333-015-0127-8  或          http://jal.xjegi.com/CN/Y2015/V7/I5/567
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