您好，欢迎访问黑龙江省农业科学院 机构知识库！
黑龙江省农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

CO2 emissions from the 2010 Russian wildfires using GOSAT data

文献类型： 外文期刊

作者： Guo, Meng 1 ; Li, Jing 2 ; Xu, Jiawei 1 ; Wang, Xiufeng 3 ; He, Hongshi 1 ; Wu, Li 5 ;

作者机构： 1.Northeast Normal Univ, Sch Geog Sci, Changchun 130024, Jilin Province, Peoples R China

2.Chinese Acad Sci, Northeast Inst Geog & Agr Ecol, Changchun 130102, Peoples R China

3.Hokkaido Univ, Res Fac Agr, Sapporo, Hokkaido 0608589, Japan

4.Univ Missouri, Sch Nat Resources, Columbia, MO 65211 USA

5.Heilongjiang Acad Agr Sci, Remote Sensing Tech Ctr, Harbin 150086, Peoples R China

关键词： Wildfire;CO2 emissions;GOSAT data;Biomass burning model (BBM)

期刊名称：ENVIRONMENTAL POLLUTION （ 影响因子：8.071； 五年影响因子：8.35 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： 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. (C) 2017 Elsevier Ltd. All rights reserved.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：黑龙江省农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台