1. Development of PM2.5 density distribution visualization system using ground-level sensor network and Mie lidar
- Author
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Akihiro Yamazaki, Osamu Uchino, Taiga Akaho, Tomohiro Nagai, Tatsuya Yokota, Hiroshi Okumura, Kohei Arai, Takashi Maki, Tetsu Sakai, Yu Kojiro, and Isamu Morino
- Subjects
Atmosphere ,Lidar ,Geography ,Density distribution ,Meteorology ,Development (differential geometry) ,Particulates ,Wireless sensor network ,Aerosol ,Remote sensing ,Visualization - 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.
- Published
- 2014
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