Paper
20 October 2014 Development of PM2.5 density distribution visualization system using ground-level sensor network and Mie lidar
Hiroshi Okumura, Taiga Akaho, Yu Kojiro, Osamu Uchino, Isamu Morino, Tatsuya Yokota, Tomohiro Nagai, Tetsu Sakai, Takashi Maki, Akihiro Yamazaki, Kohei Arai
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hiroshi Okumura, Taiga Akaho, Yu Kojiro, Osamu Uchino, Isamu Morino, Tatsuya Yokota, Tomohiro Nagai, Tetsu Sakai, Takashi Maki, Akihiro Yamazaki, and Kohei Arai "Development of PM2.5 density distribution visualization system using ground-level sensor network and Mie lidar", Proc. SPIE 9246, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing X, 92460V (20 October 2014); https://doi.org/10.1117/12.2067589
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KEYWORDS
Atmospheric particles

LIDAR

Visualization

Earth's atmosphere

Sensor networks

Aerosols

Motion analysis

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