Suppr超能文献

利用多种环境数据集识别西亚沙尘暴源区。

Identification of dust storm source areas in West Asia using multiple environmental datasets.

机构信息

Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; International Ecosystem Management Partnership, United Nations Environment Programme, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.

Faculty of Geography, University of Tehran, Tehran, Iran.

出版信息

Sci Total Environ. 2015 Jan 1;502:224-35. doi: 10.1016/j.scitotenv.2014.09.025. Epub 2014 Sep 26.

Abstract

Sand and Dust storms are common phenomena in arid and semi-arid areas. West Asia Region, especially Tigris-Euphrates alluvial plain, has been recognized as one of the most important dust source areas in the world. In this paper, a method is applied to extract SDS (Sand and Dust Storms) sources in West Asia region using thematic maps, climate and geography, HYSPLIT model and satellite images. Out of 50 dust storms happened during 2000-2013 and collected in form of MODIS images, 27 events were incorporated as demonstrations of the simulated trajectories by HYSPLIT model. Besides, a dataset of the newly released Landsat images was used as base-map for the interpretation of SDS source regions. As a result, six main clusters were recognized as dust source areas. Of which, 3 clusters situated in Tigris-Euphrates plain were identified as severe SDS sources (including 70% dust storms in this research). Another cluster in Sistan plain is also a potential source area. This approach also confirmed six main paths causing dust storms. These paths are driven by the climate system including Siberian and Polar anticyclones, monsoon from Indian Subcontinent and depression from north of Africa. The identification of SDS source areas and paths will improve our understandings on the mechanisms and impacts of dust storms on socio-economy and environment of the region.

摘要

沙尘暴是干旱和半干旱地区的常见现象。西亚地区,特别是底格里斯-幼发拉底河冲积平原,已被公认为世界上最重要的沙尘源区之一。本研究应用专题图、气候和地理、HYSPLIT 模式和卫星图像的方法,提取了西亚地区的沙尘暴源。在 2000-2013 年间收集的 50 次沙尘暴中,有 27 次事件被 HYSPLIT 模型模拟的轨迹所证实。此外,还使用新发布的 Landsat 图像数据集作为解释沙尘暴源区的基础地图。结果,识别出了六个主要的尘源区。其中,位于底格里斯-幼发拉底平原的三个尘源区被确定为严重的沙尘暴源区(包括本研究中 70%的沙尘暴)。另一个位于锡斯坦平原的尘源区也是一个潜在的源区。该方法还确认了导致沙尘暴的六条主要路径。这些路径是由西伯利亚和极地反气旋、来自印度次大陆的季风以及来自非洲北部的低气压等气候系统驱动的。沙尘暴源区和路径的识别将提高我们对沙尘暴对该地区社会经济和环境影响机制的认识。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验