FORECASTING AIR QUALITY BY INTEGRATION OF SATELLITE DATA AND HYSPLIT TRAJECTORY MODEL

被引:1
|
作者
Guang, Jie [1 ,5 ]
Xue, Yong [1 ,2 ,5 ]
Mei, Linlu [1 ,3 ,5 ]
Li, Yingjie [1 ,3 ,5 ]
Wang, Ying [1 ,3 ,5 ]
Xu, Hui [1 ,3 ,5 ]
Guo, Jianping [4 ]
机构
[1] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
[2] London Metropolitan Univ, Fac Comp, London N7 8DB, England
[3] Grad Sch Chinese Acad Sci, Beijing 100039, Peoples R China
[4] Chinese Acad Meteorol Sci, Ctr Atmosphere Watch & Serv, Beijing 100081, Peoples R China
[5] Beijing Normal Univ, Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
基金
美国国家科学基金会;
关键词
Air quality; Hysplit trajectory model; forecast; Aerosol optical depth (AOD); MODIS;
D O I
10.1109/IGARSS.2010.5649461
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This paper describes a case study of satellite data integrated with hysplit forward-trajectory model to forecast air quality in regional scale. During mid-October 2009, a severe haze event occurs in eastern China. With the help of HYSPLIT Trajectory Model, a 24-hr, 48-hr and 72-hr forward trajectory from three regions with high aerosol optical depth (AOD) values were created. Forward trajectories were mapped on geospatial MODIS Terra AOD data to apply the integrate method. The spread direction described by trajectory lines matches the AOD maps quite well. Haze from Hebei province rapidly spread to Shangdong province, then spread to Bohai Bay. Haze from Hubei province rapidly spread to the Anhui province, then spread to Jiangsu province, and finally spread to Yellow Sea. Haze from Guangdong province spread to southwest just as the trajectory lines show. Results show that this integrated satellite data with forward trajectory analysis is a promising technique for improving air quality forecasts.
引用
收藏
页码:2773 / 2776
页数:4
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