基于大气程辐射遥感图像的上海地区PM_(2.5)监测
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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 PM_(2.5) in Shanghai were studied based on the PM_(2.5) data from January 1~(st),2012 to July 30~(th),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 PM_(2.5) interpolation images were analyzed and developed,respectively.The practicability of fast and efficiently monitoring PM_(2.5) concentration in Shanghai based on remote sensing were analyzed and explored.The results showed the PM_(2.5) 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 PM_(2.5) 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 PM_(2.5) interpolation images of Shanghai and the R square was 0.6.
The spatio-temporal distribution characteristics of PM_(2.5) in Shanghai were studied based on the PM_(2.5) data from January 1~(st),2012 to July 30~(th),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 PM_(2.5) interpolation images were analyzed and developed,respectively.The practicability of fast and efficiently monitoring PM_(2.5) concentration in Shanghai based on remote sensing were analyzed and explored.The results showed the PM_(2.5) 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 PM_(2.5) 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 PM_(2.5) interpolation images of Shanghai and the R square was 0.6.
引文
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[13]Atkins M M H P J.Arsenic risk mapping in Bangladesh:a simulation technique of cokriging estimation from regional count data[J].Journal of Environmental Science&Health Part A,2007,42(12):1719-1728.
[2]CHEN Yuan,CEN Kuang,Norra S,et al.Study on polluti characteristics of PM2.5in the aerosol,tracing and tracking atmospheric particulates in Beijing city[J].Geoscience,2010,24(2):345-354.
[3]张玉洁,陈艳,张武,等.MODIS资料遥感黄土高原半干旱地区气溶胶光学厚度[J].兰州大学学报(自然科学版),2011,47(1):43-51.
[4]王中挺,厉青,陈良富,等.从MODIS数据反演粗细粒子气溶胶[J].光谱学与光谱分析,2011,31(10):2809-2813.
[5]Remen A L,Chambless D L,Steketee G,et al.Second-generation operational algorithm:Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance[J].Journal of Geophysical Research Atmospheres,2007,112(D13):319-321.
[6]Chu D A,Kaufman Y J,Zibordi G,et al.Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer(MODIS)[J].Journal of Geophysical Research,2003,108(108):21.
[7]Slater J F,Dibb J E,Campbell J W,et a1.Physical and chemical properties of surface and column aerosols at a rural New England site during MODIS overpass[J].Remote Sensing Environment,2004,92:l73-180.
[8]董智慧,苗放,叶成名,等.基于6S模型成都平原气溶胶光学厚度反演应用[J].长江大学学报(自然科学版),2011,8(9):44-46.
[9]薛岩松,俞乐,徐鹏炜.利用MODIS气溶胶产品反演PM10质量浓度以杭州为例[J].遥感信息,2014,29(1):74-77.
[10]李先华,兰立波,黄雪樵,等.自然光辐射各分量遥感图像的计算机生成原理及方法[J].环境遥感,1995,10(3):218-223.
[11]李先华,徐丽华,曾齐红,等.大气程辐射遥感图像与城市大气污染监测研究[J].遥感学报,2008,12(5):780-785.
[12]SHI Xiangyong,LI Xianhua,ZHU Ruifang.A new approach of generating atmospheric path radiation images based on MODIS remote sensing images[C].2010 WASE International Conference on Information Engineering,Beidaihe,Hebei,China.Aug.14-15,2010.EI:20104413342632.
[13]Atkins M M H P J.Arsenic risk mapping in Bangladesh:a simulation technique of cokriging estimation from regional count data[J].Journal of Environmental Science&Health Part A,2007,42(12):1719-1728.