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Regional monitoring of biomass burning using passive air sampling technique reveals the importance of MODIS unresolved fires.

Authors :
Jiang H
Li J
Wang J
Jiang H
Mo Y
Tang J
Zhang R
Pansak W
Zhong G
Zhao S
Ning J
Tian C
Zhang G
Source :
Environment international [Environ Int] 2022 Dec; Vol. 170, pp. 107582. Date of Electronic Publication: 2022 Oct 13.
Publication Year :
2022

Abstract

Field-based sampling can provide more accurate evaluation than MODIS in regional biomass burning (BB) emissions given the limitations of MODIS on unresolved fires. Polyurethane foam-based passive air samplers (PUF-PASs) are a promising tool for collecting atmospheric monosaccharides. Here, we deployed PUF-PASs to monitor monosaccharides and other BB-related biomarkers and presented a dataset of 31 atmospheric BB-related biomarkers in the Indo-China Peninsula (ICP) and Southwest China. The peak concentrations of monosaccharides in the ICP occurred before monsoon season. The highest concentrations were in the eastern Mekong plain, while the lowest were along the eastern coast. BB-related biomarkers displayed elevated concentrations after April, particularly in the monsoon season; however, fewer active fires were recorded by MODIS. This revealed the importance of MODIS unresolved fires (e.g., indoor biofuel combustion, small-scale BB incidents, and charcoal fires) to the regional atmosphere. The PAS derived levoglucosan concentrations indicated that, with the inclusion of MODIS unresolved fires, the estimated top-down emissions of PM (4194-4974 Gg/yr), OC (1234-1719 Gg/yr) and EC (52-384 Gg/yr) would be higher than previous bottom-up estimations in the ICP. Future studies on these MODIS unresolved fires and regional monitoring data of BB are vital for improving the modeling of regional BB emissions.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022. Published by Elsevier Ltd.)

Subjects

Subjects :
China

Details

Language :
English
ISSN :
1873-6750
Volume :
170
Database :
MEDLINE
Journal :
Environment international
Publication Type :
Academic Journal
Accession number :
36265357
Full Text :
https://doi.org/10.1016/j.envint.2022.107582