• DocumentCode
    2439062
  • Title

    Detection of local structure of yellow sand

  • Author

    Ikushima, Yuji ; Aoyama, T. ; Kambe, J. ; Nagashima, U. ; Nakayama, E.

  • Author_Institution
    Univ. of Miyazaki, Miyazaki
  • fYear
    2007
  • fDate
    17-20 Oct. 2007
  • Firstpage
    1150
  • Lastpage
    1154
  • Abstract
    The air pollution is the serious situation in East Asia. It is detected remarkably by the observations of suspended particulate matters. Yellow sand was observed conventionally in the district. On recent years, the yellow sand interacts with industrial waste gas and becomes polluted dust and goes over the border. We observed the yellow sand by using digital dust meters, and found that the yellow sand had local structures whose width was 6-75 km. This is narrower than that of a common sense. Passage times of the maximum parts of the peaks are less than 30 min. The maximum values are about 200 [mug/m3]. The yellow sand interacts with the vapor. The interactions are estimated by neural network analysis using optical SPM observations and meteorological measurements. We estimated some yellow sand peaks and showed different characters of each peaks.
  • Keywords
    air pollution measurement; dust; neural nets; air pollution; digital dust meters; local structure detection; meteorological measurements; neural network analysis; optical SPM observations; polluted dust; suspended particulate matters; yellow sand; Air pollution; Asia; Environmentally friendly manufacturing techniques; Industrial pollution; Industrial waste; Neural networks; Optical computing; Optical fiber networks; Optical sensors; Scanning probe microscopy; SPM; air pollution; suspended particulate matter; yellow sand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2007. ICCAS '07. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-6-2
  • Electronic_ISBN
    978-89-950038-6-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2007.4407075
  • Filename
    4407075