基于MODIS的城市大气颗粒物污染指数研究  

Particulate matter indices derived from MODIS data for indicating urban air pollution

作　　者：贺军亮[1] 张淑媛[1] 李佳[2] 查勇[3] 

机构地区：[1]石家庄学院资源与环境科学学院,石家庄050035 [2]云南师范大学旅游与地理科学学院,昆明650500 [3]南京师范大学虚拟地理环境教育部重点实验室,南京210046

出　　处：《国土资源遥感》2016年第2期126-131,共6页Remote Sensing for Land & Resources

基　　金：国家重点基础研究发展计划"我国活性氮源及其对空气质量与气候变化的影响机理研究"(编号:2014CB953802);河北省教育厅资助科研项目"灰霾强度卫星遥感监测技术方法研究"(编号:Z2014090)共同资助

摘　　要：遥感特征指数法是一种简单、高效的信息提取方法。根据气溶胶散射或吸收引起的卫星不同波段间表观反射率变化,构建了基于MODIS的城市大气颗粒物污染指数,结合石家庄市各环境空气质量站实测颗粒物浓度数据,分析差值植被指数(difference vegetation index,DVI)、归一化灰霾指数(normalized difference haze index,NDHI)、归一化建筑指数(normalized difference built-up index,NDBI)和差值建筑指数(difference built-up index,DBI)与PM10之间的相关关系。结果表明,除NDHI外,DVI,NDBI和DBI与大气颗粒物质量浓度均呈现负相关关系,DBI与PM10之间线性相关关系较为明显,综合多种大气颗粒物污染指数构建的大气颗粒物质量浓度估算模型,可以用来简便、快速地指示城市大气颗粒物污染状况。According to the variation of MODIS apparent reflectance caused by aerosol scattering and absorption,spectral indices for urban particulate pollution were constructed,which include difference vegetation index（ DVI）,normalized difference haze index（ NDHI）,normalized difference build- up index（ NDBI） and difference build-up index（ DBI）. Relations between the indices and particle concentrations（ PM10） measured by the Shijiazhuang Environmental Monitoring Station were discussed. Coefficient analysis indicates that there is negative correlation between the particle concentrations and the spectral indices except NDHI. The MODIS DBI is linearly related to PM10. The estimating model of PM10 based on several indices makes it easier to quickly monitor and evaluate atmospheric particulate pollution in urban area.

关 键 词：颗粒物 归一化灰霾指数(NDHI) 差值植被指数(DVI) 归一化建筑指数(NDBI) 差值建筑指数(DBI) 

分 类 号：X87[环境科学与工程—环境工程] TP79[自动化与计算机技术—检测技术与自动化装置]