Summary
Particles such as yellow sand and PM2.5, which cause air pollution that is a major problem worldwide, are called atmospheric aerosols. These substances not only affect human health, but also have a significant impact on the way we see everyday scenery, especially visibility. In the real world, visibility has been measured visually by the Japan Meteorological Agency (JMA) because visibility has a great impact on traffic such as airplanes. However, visual measurements are not always accurate, so it is significant to reproduce changes in visibility on a computer.
In order to estimate the distribution of DSS and PM2.5, the Polarization Optical Particle Counter (POPC) is used to measure particles. POPC measures particle size, number of particles, and polarization characteristics, and classifies particle composition into three categories based on particle size and polarization characteristics: anthropogenic particles, mineral particles, and sea-salt particles.
This study attempts to reproduce changes in visibility by calculating the dissipation coefficient, the rate at which light is scattered or absorbed by atmospheric aerosols in the air, from the particle composition and number of particles measured by POPC.
This figure shows the results of visibility visualization from four different particle composition distributions. It can be confirmed that the visibility differs depending on the particle composition distribution
Members
| Name | Affiliation | Web site |
|---|---|---|
 Homare Onuki | Keio University | |
| Soma Yokota | University of Tsukuba |
Publications
Presentation
Unrefereed
- Homare Onuki, Hiroshi Kobayashi, Soma Yokota, Issei Fujishiro: “Reproduction of visibility changes based on atmospheric distributions,” in Proceedings of the 87th National Convention of International Processing Society of Japan, Vol. 2, pp. 473―474 (5S-01), The University of Ritsumeikan, March 14, 2025.
Grants
Grant-in-Aid for Scientific Research (A): 21H04916 (2021-)