Biomass burning aerosol transport from Indo-China Peninsula to South China: fluorescence lidar observation and analysis

Abstract. South China, a densely populated region frequently affected by transported biomass burning aerosol (BBA), requires sensitive remote sensing observations to characterize these plumes. Laser-induced fluorescence (LIF) lidar is a powerful tool for detecting fluorescent aerosol and has recently been demonstrated effective in identifying transported BBA over Europe, while its applications in South China remain scarce. Here, we present LIF lidar observations of fluorescent aerosol conducted at Nanping, South China. The detected fluorescent layer was relatively weak, with a fluorescence signal intensity more than two orders of magnitude lower than the N2 Raman signal intensity (maximum spectral fluorescence backscatter coefficient ≈0.16×10-5 Mm−1 sr−1 nm−1). Nevertheless, it showed a distinct spectral signature compared with typical urban aerosol. Integration of multi-source datasets suggests that the long-range transported BBA emitted by weak fire activity in the Indo-China Peninsula (ICP) was a major contributor to the fluorescent layer. Furthermore, the concurrent presence of BBA and enhanced water vapor indicated a humid environment favorable for aerosol processing. Consistent with the high sensitivity of LIF lidar reported in previous studies, our observations show that weak, long-range transported BBA from the ICP can be observed over South China during periods of relatively weak fire activity, thereby offering new insights into their transport mechanisms and potential environmental impacts.

Authors

Institutions

Publication Details

Journal
Atmospheric measurement techniques
Published
2026-05-22
DOI
https://doi.org/10.5194/amt-19-3253-2026
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biomass burning aerosol transport from Indo-China Peninsula to South China: fluorescence lidar observation and analysis

Dawei Tang, Tianwen Wei, Saifen Yu, Zhekai Li et al.
Atmospheric measurement techniques
Fire effects on ecosystems
article

Biomass burning aerosol transport from Indo-China Peninsula to South China: fluorescence lidar observation and analysis

Dawei Tang, Tianwen Wei, Saifen Yu, Zhekai Li, Yue Wang, Kenan Wu, Haobin Han, Jiadong Hu, Jing Cai, Zhen Zhang, Haiyun Xia
article en

Abstract

Abstract. South China, a densely populated region frequently affected by transported biomass burning aerosol (BBA), requires sensitive remote sensing observations to characterize these plumes. Laser-induced fluorescence (LIF) lidar is a powerful tool for detecting fluorescent aerosol and has recently been demonstrated effective in identifying transported BBA over Europe, while its applications in South China remain scarce. Here, we present LIF lidar observations of fluorescent aerosol conducted at Nanping, South China. The detected fluorescent layer was relatively weak, with a fluorescence signal intensity more than two orders of magnitude lower than the N2 Raman signal intensity (maximum spectral fluorescence backscatter coefficient ≈0.16×10-5 Mm−1 sr−1 nm−1). Nevertheless, it showed a distinct spectral signature compared with typical urban aerosol. Integration of multi-source datasets suggests that the long-range transported BBA emitted by weak fire activity in the Indo-China Peninsula (ICP) was a major contributor to the fluorescent layer. Furthermore, the concurrent presence of BBA and enhanced water vapor indicated a humid environment favorable for aerosol processing. Consistent with the high sensitivity of LIF lidar reported in previous studies, our observations show that weak, long-range transported BBA from the ICP can be observed over South China during periods of relatively weak fire activity, thereby offering new insights into their transport mechanisms and potential environmental impacts.

Atmospheric measurement techniquesVol. 19(10)
University of Science and Technology of China (CN), Nanjing University of Information Science and Technology (CN), China Electronics Technology Group Corporation (CN), Huangshan University (CN), Chongqing Academy of Science and Technology (CN), Zhejiang Institute of Science and Technology Information (CN)
Sustainable cities and communities
Openalex Percentile: Top 6%
Fire effects on ecosystems
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.