摘要
[目的]探讨利用站点实测PM_(2.5)数据与NASA MODIS气溶胶光学厚度(AOD)研究南京PM_(2.5)时空分布规律的可行性。[方法]将2013年南京市实测PM_(2.5)数据进行空间插值,基于MODIS数据利用暗像元法反演得到的气溶胶光学厚度与2013年南京市PM_(2.5)质量浓度进行相关性分析。光学厚度引入季节变化的气溶胶标高,并用湿度因子订正。[结果]订正后的二者相关系数均有明显提高。站点实测PM_(2.5)通过空间插值可以在一定程度上反映南京市PM_(2.5)的空间分布规律,PM_(2.5)主要集中于鼓楼、建邺等经济发达区域,栖霞区域相对最低。PM_(2.5)夏季较低,冬季较高。校正后的AOD与站点实测PM_(2.5)的相关性达0.426,远高于未进行校正的0.214。[结论]在中小尺度下反演的AOD能够在一定程度上表征PM_(2.5)的浓度变化,通过更为精确的AOD反演方法能够在时空两方面反映PM_(2.5)的时空变化规律,使城市PM_(2.5)污染治理更加科学合理。
[Objective] To explore the feasibility of study on the spatio-temporal distribution of PM2.5in Nanjing by PM2.5data collected in station and NASA MODIS aerosol optical depth（ AOD）. [Methods] The in-site PM2.5data of Nanjing in 2013 was interpolated into spatial interpolation. AOD was extracted by the dark like element method（ DDV） algorithm based on MODIS data. Finally the correlation of PM2.5mass concentration was analyzed and AOD seasonal variation of aerosol elevation was introduced into AOD. Besides,the humidity factor was applied to correct the AOD,and the correlation coefficient of two revised values has been improved obviously. [Results]The results indicated that the spatial interpolation PM2.5can reflect the spatial distribution of PM2.5in Nanjing. PM2.5is mainly concentrated in Gulou and Jianye districts,and the concentration of PM2.5is lowest in Qixia District. The temporal distribution of PM2.5is higher in winter and lower in summer. The correlation between revised AOD and in-situ PM2.5is up to 0. 426,higher than that without correction. [Conclusions] AOD can characterize the concentration change in PM2.5to a certain extent in the small and middle scale. The more accurate urban PM2.5pollution distribution monitoring system based on AOD will make the spatio-temporal distribution of PM2.5more accurate,so as to make the PM2.5pollution control more scientific and reasonable.
出处
《安徽农业科学》
CAS
2016年第21期53-56,114,共5页
Journal of Anhui Agricultural Sciences
基金
2015年度南京邮电大学创新训练计划项目(XYB2015315)
国家自然科学基金青年项目(41401480)
南京邮电大学引进人才项目(NY213105)
关键词
气溶胶光学厚度
PM2.5
空间插值
时空分布
Aerosol optical depth（AOD）
PM2.5
Spatial interpolation
Spatio-temporal distribution
