摘要
基于2012年1月1日至2015年7月30日上海地区PM_(2.5)监测数据,借助空间分析技术,详细分析了上海地区PM_(2.5)时空分布特征。在此基础上,通过计算分析表征区域大气环境状况的大气程辐射遥感图像,利用图像分析技术,研究分析了上海地区基于MODIS的大气程辐射遥感图像和PM_(2.5)空间分布图像的相关性和关系模型,探讨了基于大气程辐射遥感图像进行PM_(2.5)的快速有效监测的可行性。结果表明:在时间上,上海PM_(2.5)浓度冬季或第四季度和第一季度较高,春夏季节相对较低。在空间上,位于上海西部的青浦淀山湖监测站PM_(2.5)浓度相对较高,市区次之,上海靠海的东部浦东新区相对较低。上海地区基于MODIS的大气程辐射遥感影像和PM_(2.5)具有较好的相关性。基于研究区监测站点的大气程辐射遥感值和PM_(2.5)的拟合分析,二者呈对数函数关系,其R^2达0.6。
The spatio--temporal distribution characteristics of PM2.5 in Shanghai were studied based on the PM2.5 data from January 1st, 2012 to July 30th,2015 by using spatial analysis technology. Meanwhile, the atmospheric path radiation images of Shanghai, which displayed the state of atmospheric environment quality,were computed based on the MODIS data during the same period. The correlation and relational model between the atmospheric path radiation images and PM2.5 interpolation images were analyzed and developed, respectively. The practicability of fast and efficiently monitoring PM2.5 concentration in Shanghai based on remote sensing were analyzed and explored. The results showed the PM2.5 concentration in Shanghai was higher for the first and fourth quarters than that in other quarters of the year. As for the spatial distribution of PM2.5 concentration,it was higher in western area of Shanghai like Qingpu district and lower in eastern area like Pudong Xinqu district while the downtown areas like Xuhui and Jingan districts were betwixt. There was a logarithmic function relationship between the atmospheric path radiation images and PM2.5 interpolation images of Shanghai and the R square was 0. 6.
出处
《上海交通大学学报（农业科学版）》
2017年第5期50-56,82,共8页
Journal of Shanghai Jiaotong University(Agricultural Science)
基金
高分国土资源遥感应用示范系统项目(04-Y30B01-9001-12/15)
公益性行业(气象)科研专项(GYHY200706028)
关键词
大气程辐射
PM2.5
空间分析
图像分析
相关性
atmospheric path radiatiom PM2.5 concentratiom spatial analysis
image analysis
relativity
