Preprints
https://doi.org/10.5194/egusphere-2026-2900
https://doi.org/10.5194/egusphere-2026-2900
10 Aug 2026
 | 10 Aug 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Retrieval of the Depolarization Ratio of Graphite Particles Using an Aerosol Chamber

Gahyeon Park, Dukhyeon Kim, Youngmin Noh, and Gangnam Cho

Abstract. This study derives the intrinsic depolarization ratio of graphite particles using a custom-built near-field polarization light detection and ranging (LiDAR) system combined with an aerosol chamber. To minimize the inherent geometric overlap problem in typical LiDAR systems, the receiver and chamber were separated by 30 m and signals were acquired at ultrahigh spatial resolution (0.03 m). Pure graphite particles and fugitive graphite particles collected from a steel plant were individually injected into a standardized chamber using a dust feeder. Parallel and perpendicular polarized backscatter signals were then measured at a wavelength of 532 nm. Background aerosol signals in the acquired raw data were eliminated through signal preprocessing and a correction algorithm. Ultimately, the intrinsic depolarization ratio was calculated as 0.15 ± 0.01 for pure graphite and 0.16 ± 0.03 for mixed particles collected from the steel plant. The results are statistically consistent (within the margin of error). The derived optical indicators provide a scientific foundation for the future development of remote monitoring technologies that can measure fugitive dust originating from steel plants in real time.

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Gahyeon Park, Dukhyeon Kim, Youngmin Noh, and Gangnam Cho

Status: open (until 15 Sep 2026)

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Gahyeon Park, Dukhyeon Kim, Youngmin Noh, and Gangnam Cho
Gahyeon Park, Dukhyeon Kim, Youngmin Noh, and Gangnam Cho
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Short summary
Steel plants release harmful graphite dust that is hard to track. To solve this, we used a custom light-based remote sensing system and a controlled chamber to measure how graphite reflects light. We discovered that graphite has a unique optical fingerprint, reflecting light differently than natural dust or other pollution. This distinct signature allows us to remotely identify and track graphite pollution in real time, helping to improve industrial air quality monitoring and public health.
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