• DocumentCode
    2000172
  • Title

    Integrated ground-based monitoring of dust aerosol from a semi-arid site in North China during 2004–2006

  • Author

    Xu, Dan ; Niu, Shengjie

  • Author_Institution
    Sch. of Atmos. Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An observational study on dust-storm is performed according to the ground-based integrated monitoring system at a semi-arid site. For the automatic sun-tracking photometer, which has widely-acceptable retrieval accuracy, cloud influence stays still a problem for vertical atmosphere remote sensing. Multimodal distribution of optical depth thus appears during dust-storm event and brings out difficulty in confirming the peak value for dust aerosol, and even results in valid data missing. A fitting relationship between the measurements of visibility meter and sunphotometer is listed according to dust weather. Accuracy validation is carried out based on the cases during 2004-2006, with a correlation analysis using the measurements of PM10 monitor. Columnar aerosol size distributions are in consideration for a comprehensive explanation. The suggested result leads to a better understanding for dust aerosol characteristic and dust-storm pre-warning in despite of the cloud interference.
  • Keywords
    aerosols; atmospheric measuring apparatus; dust; remote sensing; AD 2004 to 2006; North China; dust aerosol; dust weather; ground based monitoring; optical depth; remote sensing; semiarid site; sunphotometer; visibility meter; Aerosols; Atmospheric measurements; Clouds; Optical filters; Optical sensors; Optical variables control; Photometry; Remote monitoring; Satellites; Sea measurements; aerosol optical depth; aerosol size distribution; atmospheric visibility; integrated monitoring; mass concentration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2009 17th International Conference on
  • Conference_Location
    Fairfax, VA
  • Print_ISBN
    978-1-4244-4562-2
  • Electronic_ISBN
    978-1-4244-4563-9
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2009.5293411
  • Filename
    5293411