Estimation of benzene concentration and flux from a flare stack using differential absorption LiDAR

Abstract In this study, a Differential Absorption Lidar (DIAL) system was employed to remotely quantify the concentration distribution and flux of benzene released from a flare stack. The measurements were conducted on May 2, 2024, at Plant B located within the A petrochemical industrial complex in Korea, and a total of six repeated measurements were performed for a single flare stack. The on-resonant wavelength $$\:\left({\lambda\:}_{on}\right)$$ was determined as 252.1998 nm through a cell scan procedure. A cross-wind measurement geometry was applied to obtain transverse concentration distributions at a distance of approximately 400–430 m from the DIAL. The scan was conducted over 11 lines (line 1–11) ranging from 14.9° to 15.9°. Each line was measured for 50 s at a repetition rate of 10 Hz, yielding 500 shots per line and a total scan duration of 550 s per measurement. The maximum observed benzene concentrations were 2.62, 3.17, 3.11, 2.65, 3.13, and 2.23 ppm for each case. By combining the concentration data with flare stack height wind speeds estimated using a logarithmic wind profile, the corresponding benzene flux was calculated as 7.13, 6.18, 7.61, 8.11, 10.33, and 10.17 kg·hr⁻¹, respectively. The results indicate that wind speed variations significantly influence flux estimation. This study represents the first reported application of a remote DIAL system to quantitatively determine benzene flux from an industrial flare stack in Korea.

Authors

Institutions

Publication Details

Journal
Asian Journal of Atmospheric Environment
Published
2026-05-27
DOI
https://doi.org/10.1007/s44273-026-00085-4
Primary Topic
Oil, Gas, and Environmental Issues
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of benzene concentration and flux from a flare stack using differential absorption LiDAR

Yuseon Lee, Keehong Kim, Hannui Gil, Youngmin Noh et al.
Asian Journal of Atmospheric Environment
Oil, Gas, and Environmental Issues
article

Estimation of benzene concentration and flux from a flare stack using differential absorption LiDAR

Yuseon Lee, Keehong Kim, Hannui Gil, Youngmin Noh, Sunghwan Cho, Jeonghun Kim, Dukhyeon Kim, Wonseok Jung
article en

Abstract

Abstract In this study, a Differential Absorption Lidar (DIAL) system was employed to remotely quantify the concentration distribution and flux of benzene released from a flare stack. The measurements were conducted on May 2, 2024, at Plant B located within the A petrochemical industrial complex in Korea, and a total of six repeated measurements were performed for a single flare stack. The on-resonant wavelength $$\:\left({\lambda\:}_{on}\right)$$ was determined as 252.1998 nm through a cell scan procedure. A cross-wind measurement geometry was applied to obtain transverse concentration distributions at a distance of approximately 400–430 m from the DIAL. The scan was conducted over 11 lines (line 1–11) ranging from 14.9° to 15.9°. Each line was measured for 50 s at a repetition rate of 10 Hz, yielding 500 shots per line and a total scan duration of 550 s per measurement. The maximum observed benzene concentrations were 2.62, 3.17, 3.11, 2.65, 3.13, and 2.23 ppm for each case. By combining the concentration data with flare stack height wind speeds estimated using a logarithmic wind profile, the corresponding benzene flux was calculated as 7.13, 6.18, 7.61, 8.11, 10.33, and 10.17 kg·hr⁻¹, respectively. The results indicate that wind speed variations significantly influence flux estimation. This study represents the first reported application of a remote DIAL system to quantitatively determine benzene flux from an industrial flare stack in Korea.

Asian Journal of Atmospheric EnvironmentVol. 20(1)
Hanbat National University (KR), National Institute of Environmental Research (KR), Pukyong National University (KR)
National Institute of Environmental Research
Affordable and clean energy
Openalex Percentile: Top 17%
Oil, Gas, and Environmental Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.