Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon
<p><span id="page2330"/>Recent studies have highlighted the importance of brown carbon (BrC) in various fields, particularly relating to climate change. The incomplete combustion of biomass in open and contained burning conditions is believed to be a significant contributor to...
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Copernicus Publications
2021-02-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://acp.copernicus.org/articles/21/2329/2021/acp-21-2329-2021.pdf |
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doaj-b1977f48e18940c8bd707524437fc0a3 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. Sun J. Sun Y. Zhang G. Zhi R. Hitzenberger W. Jin Y. Chen L. Wang C. Tian Z. Li R. Chen W. Xiao Y. Cheng W. Yang L. Yao Y. Cao D. Huang Y. Qiu J. Xu X. Xia X. Yang X. Zhang Z. Zong Y. Song C. Wu |
spellingShingle |
J. Sun J. Sun Y. Zhang G. Zhi R. Hitzenberger W. Jin Y. Chen L. Wang C. Tian Z. Li R. Chen W. Xiao Y. Cheng W. Yang L. Yao Y. Cao D. Huang Y. Qiu J. Xu X. Xia X. Yang X. Zhang Z. Zong Y. Song C. Wu Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon Atmospheric Chemistry and Physics |
author_facet |
J. Sun J. Sun Y. Zhang G. Zhi R. Hitzenberger W. Jin Y. Chen L. Wang C. Tian Z. Li R. Chen W. Xiao Y. Cheng W. Yang L. Yao Y. Cao D. Huang Y. Qiu J. Xu X. Xia X. Yang X. Zhang Z. Zong Y. Song C. Wu |
author_sort |
J. Sun |
title |
Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon |
title_short |
Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon |
title_full |
Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon |
title_fullStr |
Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon |
title_full_unstemmed |
Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon |
title_sort |
brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbon |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2021-02-01 |
description |
<p><span id="page2330"/>Recent studies have highlighted the importance of brown carbon (BrC) in various fields, particularly relating to climate change. The incomplete combustion of biomass in open and contained burning conditions is
believed to be a significant contributor to primary BrC emissions. So far,
few studies have reported the emission factors of BrC from biomass burning,
and few studies have specifically addressed which form of light-absorbing
carbon, such as black carbon (BC) or BrC, plays a leading role in the total
solar light absorption by biomass burning. In this study, the optical
integrating sphere (IS) approach was used, with carbon black and humic acid
sodium salt as reference materials for BC and BrC, respectively, to
distinguish BrC from BC on filter samples. A total of 11 widely used biomass
types in China were burned in a typical stove to simulate the real household
combustion process. (i) Large differences existed in the emission factors of BrC (EF<span class="inline-formula"><sub>BrC</sub></span>) among the tested biomass fuels, with a geometric mean EF<span class="inline-formula"><sub>BrC</sub></span> of 0.71 g kg<span class="inline-formula"><sup>−1</sup></span> (0.24–2.09). Both the plant type (herbaceous or
ligneous) and burning style (raw or briquetted biomass) might influence the
value of EF<span class="inline-formula"><sub>BrC</sub></span>. The observed reduction in the emissions of light-absorbing carbon (LAC) confirmed an additional benefit of biomass
briquetting in climate change mitigation. (ii) The calculated annual BrC
emissions from China's household biomass burning amounted to 712 Gg, higher
than the contribution from China's household coal combustion (592 Gg). (iii) The average absorption Ångström exponent (AAE) was (<span class="inline-formula">2.46±0.53</span>), much higher than that of coal-chunk combustion smoke (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><mtext>AAE</mtext><mo>=</mo><mn mathvariant="normal">1.30</mn><mo>±</mo><mn mathvariant="normal">0.32</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="90pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="77b8ce7069e2943a7795bc0311189f66"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-21-2329-2021-ie00001.svg" width="90pt" height="10pt" src="acp-21-2329-2021-ie00001.png"/></svg:svg></span></span>). (iv) For biomass smoke, the contribution of absorption by BrC to the total absorption by <span class="inline-formula">BC+BrC</span> across the strongest solar spectral range of 350–850 nm (<span class="inline-formula"><i>F</i><sub>BrC</sub></span>) was 50.8 %. This is nearly twice that for BrC in smoke from household coal combustion (26.5 %). (v) Based on this study, a novel algorithm was developed for estimating the <span class="inline-formula"><i>F</i><sub>BrC</sub></span> for perhaps any combustion source (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M10" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>F</mi><mi mathvariant="normal">BrC</mi></msub><mo>=</mo><mn mathvariant="normal">0.5519</mn><mi>ln</mi><mtext>AAE</mtext><mo>+</mo><mn mathvariant="normal">0.0067</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="145pt" height="13pt" class="svg-formula" dspmath="mathimg" md5hash="72696f322ed968d7f6cd2cec5fd738b9"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-21-2329-2021-ie00002.svg" width="145pt" height="13pt" src="acp-21-2329-2021-ie00002.png"/></svg:svg></span></span>, <span class="inline-formula"><i>R</i><sup>2</sup>=0.999</span>); the <span class="inline-formula"><i>F</i><sub>BrC</sub></span> value for all global biomass burning
(<span class="inline-formula">open+contained</span>) (<span class="inline-formula"><i>F</i><sub>BrC-entire</sub></span>) was 64.5 % (58.5 %–69.9 %). This corroborates the dominant role of BrC in total biomass burning absorption. Therefore, the inclusion of BrC is not optional but indispensable when considering the climate energy budget, particularly for biomass burning emissions (contained and open).</p> |
url |
https://acp.copernicus.org/articles/21/2329/2021/acp-21-2329-2021.pdf |
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doaj-b1977f48e18940c8bd707524437fc0a32021-02-17T11:48:10ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-02-01212329234110.5194/acp-21-2329-2021Brown carbon's emission factors and optical characteristics in household biomass burning: developing a novel algorithm for estimating the contribution of brown carbonJ. Sun0J. Sun1Y. Zhang2G. Zhi3R. Hitzenberger4W. Jin5Y. Chen6L. Wang7C. Tian8Z. Li9R. Chen10W. Xiao11Y. Cheng12W. Yang13L. Yao14Y. Cao15D. Huang16Y. Qiu17J. Xu18X. Xia19X. Yang20X. Zhang21Z. Zong22Y. Song23C. Wu24State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaUniversity of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Vienna, AustriaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, ChinaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaKey Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaCollege of Physical and Health Education, East China Jiaotong University, Nanchang 330006, ChinaSchool of Physical Education, Jiangxi Science & Technology Normal University, Nanchang 330006, ChinaState Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaSchool of Physical Education, Shangrao Normal University, Shangrao 334001, ChinaKey Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaJiangxi Sports Hospital, Nanchang 330006, ChinaJiangxi Sports Hospital, Nanchang 330006, China<p><span id="page2330"/>Recent studies have highlighted the importance of brown carbon (BrC) in various fields, particularly relating to climate change. The incomplete combustion of biomass in open and contained burning conditions is believed to be a significant contributor to primary BrC emissions. So far, few studies have reported the emission factors of BrC from biomass burning, and few studies have specifically addressed which form of light-absorbing carbon, such as black carbon (BC) or BrC, plays a leading role in the total solar light absorption by biomass burning. In this study, the optical integrating sphere (IS) approach was used, with carbon black and humic acid sodium salt as reference materials for BC and BrC, respectively, to distinguish BrC from BC on filter samples. A total of 11 widely used biomass types in China were burned in a typical stove to simulate the real household combustion process. (i) Large differences existed in the emission factors of BrC (EF<span class="inline-formula"><sub>BrC</sub></span>) among the tested biomass fuels, with a geometric mean EF<span class="inline-formula"><sub>BrC</sub></span> of 0.71 g kg<span class="inline-formula"><sup>−1</sup></span> (0.24–2.09). Both the plant type (herbaceous or ligneous) and burning style (raw or briquetted biomass) might influence the value of EF<span class="inline-formula"><sub>BrC</sub></span>. The observed reduction in the emissions of light-absorbing carbon (LAC) confirmed an additional benefit of biomass briquetting in climate change mitigation. (ii) The calculated annual BrC emissions from China's household biomass burning amounted to 712 Gg, higher than the contribution from China's household coal combustion (592 Gg). (iii) The average absorption Ångström exponent (AAE) was (<span class="inline-formula">2.46±0.53</span>), much higher than that of coal-chunk combustion smoke (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><mtext>AAE</mtext><mo>=</mo><mn mathvariant="normal">1.30</mn><mo>±</mo><mn mathvariant="normal">0.32</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="90pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="77b8ce7069e2943a7795bc0311189f66"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-21-2329-2021-ie00001.svg" width="90pt" height="10pt" src="acp-21-2329-2021-ie00001.png"/></svg:svg></span></span>). (iv) For biomass smoke, the contribution of absorption by BrC to the total absorption by <span class="inline-formula">BC+BrC</span> across the strongest solar spectral range of 350–850 nm (<span class="inline-formula"><i>F</i><sub>BrC</sub></span>) was 50.8 %. This is nearly twice that for BrC in smoke from household coal combustion (26.5 %). (v) Based on this study, a novel algorithm was developed for estimating the <span class="inline-formula"><i>F</i><sub>BrC</sub></span> for perhaps any combustion source (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M10" display="inline" overflow="scroll" dspmath="mathml"><mrow><msub><mi>F</mi><mi mathvariant="normal">BrC</mi></msub><mo>=</mo><mn mathvariant="normal">0.5519</mn><mi>ln</mi><mtext>AAE</mtext><mo>+</mo><mn mathvariant="normal">0.0067</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="145pt" height="13pt" class="svg-formula" dspmath="mathimg" md5hash="72696f322ed968d7f6cd2cec5fd738b9"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-21-2329-2021-ie00002.svg" width="145pt" height="13pt" src="acp-21-2329-2021-ie00002.png"/></svg:svg></span></span>, <span class="inline-formula"><i>R</i><sup>2</sup>=0.999</span>); the <span class="inline-formula"><i>F</i><sub>BrC</sub></span> value for all global biomass burning (<span class="inline-formula">open+contained</span>) (<span class="inline-formula"><i>F</i><sub>BrC-entire</sub></span>) was 64.5 % (58.5 %–69.9 %). This corroborates the dominant role of BrC in total biomass burning absorption. Therefore, the inclusion of BrC is not optional but indispensable when considering the climate energy budget, particularly for biomass burning emissions (contained and open).</p>https://acp.copernicus.org/articles/21/2329/2021/acp-21-2329-2021.pdf |