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Proceedings Paper

Development of PM2.5 density distribution visualization system using ground-level sensor network and Mie lidar
Author(s): Hiroshi Okumura; Taiga Akaho; Yu Kojiro; Osamu Uchino; Isamu Morino; Tatsuya Yokota; Tomohiro Nagai; Tetsu Sakai; Takashi Maki; Akihiro Yamazaki; Kohei Arai
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Paper 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.

Paper Details

Date Published: 20 October 2014
PDF: 6 pages
Proc. SPIE 9246, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing X, 92460V (20 October 2014); doi: 10.1117/12.2067589
Show Author Affiliations
Hiroshi Okumura, Saga Univ. (Japan)
Taiga Akaho, Saga Univ. (Japan)
Yu Kojiro, Saga Univ. (Japan)
Osamu Uchino, National Institute for Environmental Studies (Japan)
Isamu Morino, National Institute for Environmental Studies (Japan)
Tatsuya Yokota, National Institute for Environmental Studies (Japan)
Tomohiro Nagai, Meteorological Research Institute (Japan)
Tetsu Sakai, Meteorological Research Institute (Japan)
Takashi Maki, Meteorological Research Institute (Japan)
Akihiro Yamazaki, Meteorological Research Institute (Japan)
Kohei Arai, Saga Univ. (Japan)


Published in SPIE Proceedings Vol. 9246:
Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing X
Upendra N. Singh; Gelsomina Pappalardo, Editor(s)

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