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基于MODIS AOD的山东地区PM_(2.5)反演 被引量:4

Estimation of PM_(2.5) over Shandong from MODIS AOD
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摘要 21世纪以来,随着我国经济的高速发展,污染气体的排放量大大增加,很多城市雾霾现象频发。近年来,山东省各城市均有雾霾天气出现,尤其是在冬季。因此,对于污染气体的监测已成为气象部门的重要工作内容。传统的物理监测和化学监测等大气污染监测手段,由于监测范围小、设备昂贵等缺陷已逐渐不能满足社会的需求,而随着卫星遥感技术的发展,其高空间覆盖率和低成本的优点恰好弥补了传统监测手段的不足。国内外的一些学者尝试应用遥感技术来探测气溶胶光学厚度(aerosolopticaldepth,AOD),利用AOD来反演近地面的PM2.5浓度。本文利用2015年2月18日和2月20日两天的MODIS/Terra AOD产品,研究了山东地区AOD与PM2.5的相关性,并对该区域PM2.5浓度进行了监测。 Since the 21st century, with the development of Chinese economy, polluting gas emissions greatly increases, many frequent phenomenon of urban smog. In recent years, Shandong province, all of the urban smog appears, especially in winter. Therefore, for gaseous pollutants monitoring has become an important work of Meteorological Department. Traditional monitoring of physical and chemical monitoring of atmospheric pollution monitoring, since the scope of monitoring small, expensive equipment and other defects has been unable to meet the needs of the community, and with the development of satellite remote sensing technology, its high spatial coverage and low cost advantages to meet the shortage of traditional monitoring tools. And some scholars began using remote sensing technology to detect aerosol optical depth (AOD), AOD to inversion of near surface of PM 2.5 concentration. Based on February 18, 2015 and February 20 two-day MODIS/Terra AOD, AOD and PM 2 .5 in Shandong province is investigated. 5 's dependencies, and the PM 2.5 concentration was monitored.
作者 袁兴明 邢立鹏 靳合波 吴学超 YUAN Xingming;XING Lipeng;JIN Hebo;WU Xuechao(Department of Architecture and Information Engineering,Shandong Vocational College of Industry,Zibo 256414,China;School of Civil Engineering and Architecture,Shandong University of Technology,Zibo 255049,China;Department of Management Engineering,Qingdao Technological University(Linyi),Linyi 273400,China;Shandong Provincial Institute of Land Surveying and Mapping,Ji′nan 250013,China)
出处 《测绘与空间地理信息》 2018年第11期88-90,93,共4页 Geomatics & Spatial Information Technology
关键词 气溶胶光学厚度 PM2.5 相关性 AOD PM 2.5 correlation
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