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
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