摘要
环境遥感是遥感技术应用的重要领域。随着高光谱遥感技术和定量遥感理论的发展,利用OMI、MODIS等数据开展大气SO2分布的研究得到关注。OMI是新一代大气成分探测传感器,其痕量数据产品OMSO2在反演大气SO2量值中有较好的效果。选取2005年2、5、8、11月及2005～2008年各年2月每日的OMI Level-2痕量数据,采用遥感和GIS方法,对兰州及附近地区大气边界层SO2空间分布、季节变化和冬季年际变化进行了分析。结果表明:研究区内SO2量值呈离散面状分布,兰州—白银、金昌是两个明显的高值区;冬季SO2量值明显高于其他季节,年际变化波动比较明显。研究表明,利用OMI Level-2痕量数据产品,能够对较大尺度范围人类活动排放SO2状况进行检测和评估。
Environmental remote sensing is an important area of application of remote sensing technology.With the development of the hyperspectral remote sensing technology and the quantitative remote sensing theory,it is paid attention to which carries out the distribution of atmospheric SO2 using OMI and MODIS data.OMI is a new generation of atmospheric composition detection sensor.OMSO2,one of the OMI Level-2 trace data products,owns perfect sensitivity in SO2 value inversion.Based on the daily OMI Level-2 trace data in February during 2005~2008 and in May,August,November in 2005,the study,using remote sensing and GIS methods,analyzes spatial distribution,seasonal variations and inter-annual variations in the winter of SO2 at the atmospheric boundary layer in Lanzhou and surrounding areas.The results show that SO2 values had a discrete planar distribution,and Lanzhou-Baiyin and Jinchang are two evident high-value areas.SO2 value in winter was significantly higher than that in other seasons,meanwhile inter-annual fluctuates obviously.The study shows that using the OMI Level-2 trace data products can detect and assess the situation of SO2 under the condition of larger human activities scales.
出处
《遥感技术与应用》
CSCD
北大核心
2011年第6期808-813,共6页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(40961026)
西北师范大学科技创新工程项目(NWNU-KJCXGC-03-23)资助
作者简介
赵军（1963-），男，山西河津人，教授，博士，主要从事资源环境遥感与GIS应用研究。E-mail：zhaojun@nwnu．edu．cn
