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利用 GOSAT 数据估算 2010 年俄罗斯野火的 CO 排放量。

CO emissions from the 2010 Russian wildfires using GOSAT data.

机构信息

School of Geographical Sciences, Northeast Normal University, Changchun 130024, Jilin Province, China.

Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Science, Changchun 130102, China.

出版信息

Environ Pollut. 2017 Jul;226:60-68. doi: 10.1016/j.envpol.2017.04.014. Epub 2017 Apr 11.

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 CO 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 CO. We also calculated the CO emissions by employing the Biomass Burning Model (BBM) for the same study site and obtained a similar result of 261.82-302.48 Tg CO. The present study proposes a new method for the evaluation of CO 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.

摘要

2010 年夏,由于前所未有的强烈热浪导致的大气阻塞,俄罗斯西部发生了 600 多起野火。本研究利用 GOSAT(温室气体观测卫星)数据,评估了 2010 年 7 月 23 日至 8 月 18 日俄罗斯西部的 CO 排放。结果表明,GOSAT CAI(云与气溶胶成像仪)非常适合识别烟雾羽流,GOSAT FTS(傅里叶变换光谱仪)TIR(热红外)可用于计算约 800 hPa(1.58 km)处羽流的高度。利用 GOSAT 数据,我们估计 2010 年俄罗斯西部火灾排放了 255.76 Tg CO。我们还通过为同一研究区域使用生物质燃烧模型(BBM)计算了 CO 排放,得到了相似的结果 261.82-302.48 Tg CO。本研究提出了一种利用遥感数据评估野火 CO 排放的新方法,可用于提高对区域或大陆尺度生物质燃烧的认识,减少温室气体排放模型的不确定性,并进一步了解野火如何影响大气碳循环和全球变暖。

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