| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 4 | |
| Section | Joint CLRC/ILRC Session: New Lidar Technologies and Methods | |
| DOI | https://doi.org/10.1051/epjconf/202636201012 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636201012
A Study on Real-Time Water Droplets Removal Techniques with Two-Wavelength Scanning LiDAR Monitoring
(a) Pukyong National University, Division of Earth Environmental System Science, Environmental Engineering, E-mail : This email address is being protected from spambots. You need JavaScript enabled to view it.
(b) School of Basic Science, Hanbat National University, Daejeon 34158, Korea, E-mail : This email address is being protected from spambots. You need JavaScript enabled to view it.
(c) Pukyong National University, Division of Earth Environmental System Science, Environmental Engineering, E-mail : This email address is being protected from spambots. You need JavaScript enabled to view it.
(d) Pukyong National University, Division of Earth Environmental System Science, Environmental Engineering, E-mail : This email address is being protected from spambots. You need JavaScript enabled to view it.
(e) Pukyong National University, Division of Earth Environmental System Science, Environmental Engineering, E-mail : This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
This study focuses on the technology for real-time water droplets removal using two-wavelength scanning LiDAR monitoring. The LiDAR measures the Ångström exponent, using extinction coefficients at 1064 nm and 532 nm wavelengths, to assess particle size, and calculates depolarization ratio from backscatter signals at 532 nm to determine particle shape. This technology allowed for the identification and classification of particle types, focusing on fine particles while excluding water droplets. The aim of this study is to use scanning LiDAR to distinguish fine particles and water droplets across a wide area and to identify their movement and origin when pollutant concentrations are high.
© The Authors, published by EDP Sciences, 2026
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