globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016JD025897
论文题名:
Temperature and burning history affect emissions of greenhouse gases and aerosol particles from tropical peatland fire
作者: Kuwata M.; Kai F.M.; Yang L.; Itoh M.; Gunawan H.; Harvey C.F.
刊名: Journal of Geophysical Research: Atmospheres
出版年: 2017
卷: 122, 期:2
起始页码: 1281
结束页码: 1292
语种: 英语
英文关键词: aerosol particles ; haze ; methane ; peatland ; wildfire
Scopus关键词: aerosol ; burning ; chemical composition ; emission ; greenhouse gas ; haze ; historical record ; methane ; peatland ; temperature profile ; tropical environment ; wildfire ; Greater Sunda Islands ; Indonesia ; Sumatra ; Sunda Isles
英文摘要: Tropical peatland burning in Asia has been intensifying over the last decades, emitting huge amounts of gas species and aerosol particles. Both laboratory and field studies have been conducted to investigate emission from peat burning, yet a significant variability in data still exists. We conducted a series of experiments to characterize the gas and particulate matter emitted during burning of a peat sample from Sumatra in Indonesia. Heating temperature of peat was found to regulate the ratio of CH4 to CO2 in emissions (ΔCH4/ΔCO2) as well as the chemical composition of particulate matter. The ΔCH4/ΔCO2 ratio was larger for higher temperatures, meaning that CH4 emission is more pronounced at these conditions. Mass spectrometric analysis of organic components indicated that aerosol particles emitted at higher temperatures had more unsaturated bonds and ring structures than that emitted from cooler fires. The result was consistently confirmed by nuclear magnetic resonance analysis. In addition, CH4 emitted by burning charcoal, which is derived from previously burned peat, was lower by at least an order of magnitude than that from fresh peat. These results highlight the importance of both fire history and heating temperature for the composition of tropical peat-fire emissions. They suggest that remote sensing technologies that map fire histories and temperatures could provide improved estimates of emissions. ©2016. American Geophysical Union. All Rights Reserved.
资助项目: NRFF001-031"The authors acknowledge Osamu Kozan, Motonori Okumura, Jing Chen, and Wen-Chien Lee for their assistance with the experiments and useful discussion. M.K. was supported by the National Research Foundation Singapore under its Singapore NRF Fellowship scheme (National Research Fellow Award, NRF2012NRF-NRFF001-031), the Earth Observatory of Singapore, and Nanyang Technological University. M.I. was supported by the Ministry of Education, Culture, Sports, Science, and Technology for Science Research (15H05625), the Ministry of Environment for Global Environment Research (4-1504), and the Research Institute for Humanity and Nature, Japan. The data in the paper are available from Mikinori Kuwata (kuwata@ntu.edu.sg).
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62728
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: Asian School of the Environment and Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore; Center for Southeast Asian Studies, Kyoto University, Kyoto, Japan; Center for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, Singapore; Now at National Metrology Centre, Agency for Science, Technology and Research, Singapore; Division of Chemistry & Biological Chemistry, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore; Center for Disaster Studies, Riau University, Pekanbaru, Indonesia; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States

Recommended Citation:
Kuwata M.,Kai F.M.,Yang L.,et al. Temperature and burning history affect emissions of greenhouse gases and aerosol particles from tropical peatland fire[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(2)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Kuwata M.]'s Articles
[Kai F.M.]'s Articles
[Yang L.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Kuwata M.]'s Articles
[Kai F.M.]'s Articles
[Yang L.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Kuwata M.]‘s Articles
[Kai F.M.]‘s Articles
[Yang L.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.