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
相关论文
共 50 条
  • [21] Air quality forecast verification using satellite data
    Kondragunta, S.
    Lee, P.
    Mcqueen, J.
    Kittaka, C.
    Prados, A. I.
    Ciren, P.
    Laszlo, I.
    Pierce, R. B.
    Hoff, R.
    Szykman, J. J.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2008, 47 (02) : 425 - 442
  • [22] Air quality data analysis and forecasting platform based on big data
    Wang, Jinghan
    Zhang, Jinnan
    Yuan, XueGuang
    Tang, Yu
    Hao, Hongyu
    Zuo, Yong
    Tan, Zebin
    Qiao, Min
    Cao, Yang Hua
    Ai, Lingmei
    Wan, Yihang
    Chen, Hao
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 2042 - 2046
  • [23] Assimilation of satellite data in regional air quality models
    McNider, RT
    Norris, WB
    Casey, DM
    Pleim, JE
    Roselle, SJ
    Lapenta, WM
    AIR POLLUTION MODELING AND ITS APPLICATION XII, 1998, 22 : 25 - 35
  • [24] Using reverse air trajectory (HYSPLIT) to identify potential sources of Hg and jurisdictional rule
    Phillips, M.
    EPIDEMIOLOGY, 2007, 18 (05) : S121 - S121
  • [25] Air quality forecasting based on cloud model granulation
    Yi Lin
    Long Zhao
    Haiyan Li
    Yu Sun
    EURASIP Journal on Wireless Communications and Networking, 2018
  • [26] Air quality forecasting based on cloud model granulation
    Lin, Yi
    Zhao, Long
    Li, Haiyan
    Sun, Yu
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2018,
  • [27] Transboundary Air Pollution in the Krakow Agglomeration Using the HYSPLIT Model
    Ciepiela, Maciej
    Sobczyk, Wiktoria
    INZYNIERIA MINERALNA-JOURNAL OF THE POLISH MINERAL ENGINEERING SOCIETY, 2023, (01): : 161 - 167
  • [28] Improved Meteorological Data for Air Quality Forecasting Models: Assessment
    Borghi, Sergio
    Favaron, Maurizio
    Frustaci, Giuseppe
    AIR POLLUTION MODELING AND ITS APPLICATION XXII, 2014, : 251 - 255
  • [29] A Novel Hybrid Approach For Efficiently Forecasting Air Quality Data
    Borah, Jintu
    Chakraborty, Tanujit
    Nazdir, Md. Shahrul Md
    Cayetano, Mylene G.
    Benedetto, Francesco
    Majumdar, Shubhankar
    IEEE SENSORS LETTERS, 2025, 9 (01)
  • [30] An emission source inversion model based on satellite data and its application in air quality forecasts
    Cheng XingHong
    Xu XiangDe
    Ding GuoAn
    SCIENCE CHINA-EARTH SCIENCES, 2010, 53 (05) : 752 - 762