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Development of PM2.5 density distribution visualization system using ground-level sensor network and Mie lidar

Authors :
Akihiro Yamazaki
Osamu Uchino
Taiga Akaho
Tomohiro Nagai
Tatsuya Yokota
Hiroshi Okumura
Kohei Arai
Takashi Maki
Tetsu Sakai
Yu Kojiro
Isamu Morino
Source :
SPIE Proceedings.
Publication Year :
2014
Publisher :
SPIE, 2014.

Abstract

Atmospheric particulate matters (PM) are tiny pieces of solid or liquid matter associated with the Earth’s atmosphere. They are suspended in the atmosphere as atmospheric aerosol. Recently, density of fine particles PM2.5, diameter of 2.5 micrometers or less, from China is serious environmental issue in East part of Asia. In this study, the authors have developed a PM2.5 density distribution visualization system using ground-level sensor network dataset and Mie lidar dataset. The former dataset is used for visualization of horizontal PM2.5 density distribution and movement analysis, the latter dataset is used for visualization of vertical PM2.5 density distribution and movement analysis.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
SPIE Proceedings
Accession number :
edsair.doi...........a74aec1575b0fe2a460dc0a7a362aa85
Full Text :
https://doi.org/10.1117/12.2067589