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

Haoyu Jiang; Jun Li; Jiaqi Wang; Hongxing Jiang; Yangzhi Mo; Jiao Tang; Ruijie Zhang; Wanwisa Pansak; Guangcai Zhong; Shizhen Zhao; Jicai Ning; Chongguo Tian; Gan Zhang

doi:10.1016/j.envint.2022.107582

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

Environ Int. 2022 Dec:170:107582. doi: 10.1016/j.envint.2022.107582. Epub 2022 Oct 13.

Authors

Haoyu Jiang¹, Jun Li¹, Jiaqi Wang¹, Hongxing Jiang¹, Yangzhi Mo¹, Jiao Tang¹, Ruijie Zhang², Wanwisa Pansak³, Guangcai Zhong¹, Shizhen Zhao¹, Jicai Ning⁴, Chongguo Tian⁴, Gan Zhang⁵

Affiliations

¹ State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, and Joint Laboratory of the Guangdong-Hong Kong-Macao Greater Bay Area for the Environment, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Centre for Excellence in Deep Earth Science, Guangzhou 510640, China.
² School of Marine Sciences, Guangxi University, Nanning 530004, China.
³ Department of Agricultural Science, Naresuan University, Phitsanulok 65000, Thailand.
⁴ Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, PR China.
⁵ State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, and Joint Laboratory of the Guangdong-Hong Kong-Macao Greater Bay Area for the Environment, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; CAS Centre for Excellence in Deep Earth Science, Guangzhou 510640, China. Electronic address: zhanggan@gig.ac.cn.

PMID: 36265357
DOI: 10.1016/j.envint.2022.107582

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.

Keywords: Biomass burning; Indo-China Peninsula; Levoglucosan; Lignin derivatives; PUF-PAS; Top-down emission estimations.

MeSH terms

China