Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2329-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-2329-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Feb 2021
Research article |
| 17 Feb 2021
| 17 Feb 2021
Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon
Jianzhong Sun
State Key Laboratory of Environmental Criteria and Risk Assessment,
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Yuzhe Zhang
State Key Laboratory of Environmental Criteria and Risk Assessment,
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Guorui Zhi
CORRESPONDING AUTHOR
State Key Laboratory of Environmental Criteria and Risk Assessment,
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Regina Hitzenberger
University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090
Vienna, Austria
Wenjing Jin
State Key Laboratory of Environmental Criteria and Risk Assessment,
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Fudan University, Shanghai 200438, China
Lei Wang
State Key Laboratory of Environmental Criteria and Risk Assessment,
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Chongguo Tian
Key Laboratory of Coastal Environmental Processes and Ecological
Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of
Sciences, Yantai 264003, China
Zhengying Li
State Key Laboratory of Environmental Criteria and Risk Assessment,
Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Rong Chen
College of Physical and Health Education, East China Jiaotong
University, Nanchang 330006, China
Wen Xiao
School of Physical Education, Jiangxi Science & Technology Normal University, Nanchang 330006, China
Yuan Cheng
State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150001, China
Wei Yang
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Liying Yao
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Yang Cao
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Duo Huang
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Yueyuan Qiu
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Jiali Xu
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Xiaofei Xia
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Xin Yang
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Xi Zhang
School of Physical Education, Shangrao Normal University, Shangrao
334001, China
Zheng Zong
Key Laboratory of Coastal Environmental Processes and Ecological
Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of
Sciences, Yantai 264003, China
Yuchun Song
Jiangxi Sports Hospital, Nanchang 330006, China
Changdong Wu
Jiangxi Sports Hospital, Nanchang 330006, China
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Short summary
Brown carbon (BrC) emission factors from household biomass fuels were measured with an integrating sphere optics approach supported by iterative calculations. A novel algorithm to directly estimate the absorption contribution of BrC relative to that of BrC + black carbon (FBrC) was proposed based purely on the absorption exponent (AAE)
(FBrC = 0.5519 lnAAE + 0.0067). The FBrC for household biomass fuels was as high as 50.8 % across the strongest solar spectral range of 350−850 nm.
Brown carbon (BrC) emission factors from household biomass fuels were measured with an...
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