干旱区生态环境知识资源中心(Arid): 乌鲁木市PM_(2.5)浓度与MODIS气溶胶光学厚度相关性分析

Arid

	乌鲁木市PM_(2.5)浓度与MODIS气溶胶光学厚度相关性分析
其他题名	Correlation analysis of PM2 5 concentration and MODIS aerosol optical depth in Urumqi City
	高宇潇; 刘志辉; 王敬哲
来源期刊	干旱区地理
ISSN	1000-6060
出版年	2018
卷号	41 期号:2 页码:298-305
中文摘要	选择西北干旱区城市乌鲁木齐市为研究区,利用MODIS气溶胶产品(AOD)数据和地面监测站PM2.5浓度数据进行相关性分析,结果表明:二者相关性良好,对AOD数据进行垂直订正和湿度订正后,发现相关性进一步提升(0.49~0.80,p <0.01)。对订正后AOD数据与地面PM2.5浓度进行建模并选取最优模型,结果均为一元三次模型且模型R~2在0.27~0.69之间,其中春秋两季模型R~2较高,夏季较低。对模型精度进行验证结果,显示春季与秋季模型精度良好,夏季较差,说明MODIS气溶胶光学厚度数据可以用于反演干旱区地面PM2.5浓度值,对卫星遥感在干旱区地面空气监测应用提供了新的方法和思路。
英文摘要	Aerosol optical depth (AOD) as a kind of MODIS aerosol product,has a high correlation with PM2 5 (aerosol particulate with the diameter of less than 2.5 mum) concentration,and it has been widely applied in the quantitative simulation of PM2 5 concentration. However,it is still difficult to accurately estimate the PM2 5 concentration because of the temporal and spatial differences of AOD. The pretreatment of the vertical humidity correction for MODIS aerosol products can eliminate the influence of uncertainties of the atmosphere to a certain extent,and thus to improve the precision and robustness of the quantitative estimation. Therefore,this paper aimed to bring the vertical humidity correction into the preprocessing of MODIS aerosol product AOD data to analyze the correlation between MODIS AOD products and PM2 5 concentration in Urumqi,Xinjiang,a typical arid city in northwestern China. The daily MODIS AOD data and PM2 5 concentration data in the corresponding period from 7 ground monitoring stations (covering different altitudes and functional areas) were selected as the data source. The results showed a good correlation which was further improved after the pretreating correction. The R (determinant coefficients) of the optimal model was ranged from 0.27 to 0.69 with the higher values (0.55 69) achieved in spring and au tumn,which indicated a better model accuracy while the R in summer was low (0.27 41) reflecting a relatively poor performance of the model. The result also demonstrated that the MODIS AOD data could not only be used to quantitatively estimate surface PM2 5 concentration in the areas of dense vegetation,but also be used in the areas of low vegetation coverage,such as the arid regions in northwestern China. The study provides the reference for the deep utilization of AOD and the estimation of PM2 5 concentration by means of remote sensing method (MODIS aerosol product AOD),which has important significance in air pollution spatial diffusion process,remote sensing monitoring,and the forecasting of urban atmospheric pollutants in the arid and semi-arid region, especially.
中文关键词	气溶胶光学厚度(AOD) ; 相关性分析 ; 乌鲁木齐市
英文关键词	PM_(2.5) aerosol optical depth (AOD) PM_(2.5) correlation analysis Urumqi City
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6261678
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/237588
作者单位	新疆大学资源与环境科学学院;;新疆大学, ;;绿洲生态教育部重点实验室, 乌鲁木齐;;乌鲁木齐, 新疆;;新疆 830046;;830046, 中国
推荐引用方式 GB/T 7714	高宇潇,刘志辉,王敬哲. 乌鲁木市PM_(2.5)浓度与MODIS气溶胶光学厚度相关性分析[J]. 新疆大学,2018,41(2):298-305.
APA	高宇潇,刘志辉,&王敬哲.(2018).乌鲁木市PM_(2.5)浓度与MODIS气溶胶光学厚度相关性分析.干旱区地理,41(2),298-305.
MLA	高宇潇,et al."乌鲁木市PM_(2.5)浓度与MODIS气溶胶光学厚度相关性分析".干旱区地理 41.2(2018):298-305.