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CO₂ emissions from the 2010 Russian wildfires using GOSAT data

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Title: CO₂ emissions from the 2010 Russian wildfires using GOSAT data
Authors: Guo, Meng Browse this author
Li, Jing Browse this author
Xu, Jiawei Browse this author
Wang, Xiufeng Browse this author →KAKEN DB
He, Hongshi Browse this author
Wu, Li Browse this author
Keywords: Wildfire
CO₂ emissions
GOSAT data
Biomass burning model (BBM)
Issue Date: Jul-2017
Publisher: Elsevier
Journal Title: Environmental pollution
Volume: 226
Start Page: 60
End Page: 68
Publisher DOI: 10.1016/j.envpol.2017.04.014
PMID: 28407537
Abstract: In the summer of 2010, more than 6 hundred wildfires broke out in western Russia because of an unprecedented intense heat wave that resulted from strong atmospheric blocking. The present study evaluated the CO2 emissions using GOSAT (Greenhouse gases Observing SATellite) data from July 23 to August 18, 2010 for western Russia. The results demonstrated that the GOSAT CAI (Cloud and Aerosol Imager) was well-suited for the identification of smoke plumes and that the GOSAT FTS (Fourier Transform Spectrometer) TIR (Thermal InfraRed) could be used to calculate the height of the plumes at approximately 800 hPa (1.58 km). Using GOSAT data, we estimated that the 2010 fires in western Russia emitted 255.76 Tg CO2. We also calculated the CO2 emissions by employing the Biomass Burning Model (BBM) for the same study site and obtained a similar result of 261.82-302.48 Tg CO2. The present study proposes a new method for the evaluation of CO2 emissions from a wildfire using remote sensing data, which could be used to improve the knowledge of the burning of biomass at a regional or a continental scale, to reduce the uncertainties in modeling greenhouse gases emissions, and to further understand how wildfires impact the atmospheric carbon cycle and global warming.
Rights: © 2017, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/
Type: article (author version)
URI: http://hdl.handle.net/2115/74838
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 王 秀峰

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