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Aerosol mass yields of selected biogenic volatile organic compounds - A theoretical study with nearly explicit gas-phase chemistry

Xavier, Carlton LU ; Rusanen, Anton ; Zhou, Putian LU ; Dean, Chen ; Pichelstorfer, Lukas LU ; Roldin, Pontus LU and Boy, Michael LU (2019) In Atmospheric Chemistry and Physics 19(22). p.13741-13758
Abstract

In this study we modeled secondary organic aerosol (SOA) mass loadings from the oxidation (by <span classCombining double low line"inline-formula">O3</span>, OH and <span classCombining double low line"inline-formula">NO3</span>) of five representative biogenic volatile organic compounds (BVOCs): isoprene, endocyclic bond-containing monoterpenes (<span classCombining double low line"inline-formula">α</span>-pinene and limonene), exocyclic double-bond compound (<span classCombining double low line"inline-formula">β</span>-pinene) and a sesquiterpene (<span classCombining double low line"inline-formula">β</span>-caryophyllene). The simulations were... (More)

In this study we modeled secondary organic aerosol (SOA) mass loadings from the oxidation (by <span classCombining double low line"inline-formula">O3</span>, OH and <span classCombining double low line"inline-formula">NO3</span>) of five representative biogenic volatile organic compounds (BVOCs): isoprene, endocyclic bond-containing monoterpenes (<span classCombining double low line"inline-formula">α</span>-pinene and limonene), exocyclic double-bond compound (<span classCombining double low line"inline-formula">β</span>-pinene) and a sesquiterpene (<span classCombining double low line"inline-formula">β</span>-caryophyllene). The simulations were designed to replicate an idealized smog chamber and oxidative flow reactors (OFRs). The Master Chemical Mechanism (MCM) together with the peroxy radical autoxidation mechanism (PRAM) were used to simulate the gas-phase chemistry. The aim of this study was to compare the potency of MCM and MCM&thinsp;<span classCombining double low line"inline-formula">+</span>&thinsp;PRAM in predicting SOA formation. SOA yields were in good agreement with experimental values for chamber simulations when MCM&thinsp;<span classCombining double low line"inline-formula">+</span>&thinsp;PRAM was applied, while a stand-alone MCM underpredicted the SOA yields. Compared to experimental yields, the OFR simulations using MCM&thinsp;<span classCombining double low line"inline-formula">+</span>&thinsp;PRAM yields were in good agreement for BVOCs oxidized by both <span classCombining double low line"inline-formula">O3</span> and OH. On the other hand, a stand-alone MCM underpredicted the SOA mass yields. SOA yields increased with decreasing temperatures and NO concentrations and vice versa. This highlights the limitations posed when using fixed SOA yields in a majority of global and regional models. Few compounds that play a crucial role (<span classCombining double low line"inline-formula">&gt;95</span>&thinsp;% of mass load) in contributing to SOA mass increase (using MCM&thinsp;<span classCombining double low line"inline-formula">+</span>&thinsp;PRAM) are identified. The results further emphasized that incorporating PRAM in conjunction with MCM does improve SOA mass yield estimation.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Atmospheric Chemistry and Physics
volume
19
issue
22
pages
18 pages
publisher
Copernicus GmbH
external identifiers
  • scopus:85075132156
ISSN
1680-7316
DOI
10.5194/acp-19-13741-2019
project
Continental Biosphere Aerosol Cloud climate feedback loop during the Anthropocene
language
English
LU publication?
yes
id
07707277-8801-4bf5-8430-9dc539206c43
date added to LUP
2019-11-28 14:47:15
date last changed
2024-01-11 15:09:16
@article{07707277-8801-4bf5-8430-9dc539206c43,
  abstract     = {{<p/><p>In this study we modeled secondary organic aerosol (SOA) mass loadings from the oxidation (by &lt;span classCombining double low line"inline-formula"&gt;O3&lt;/span&gt;, OH and &lt;span classCombining double low line"inline-formula"&gt;NO3&lt;/span&gt;) of five representative biogenic volatile organic compounds (BVOCs): isoprene, endocyclic bond-containing monoterpenes (&lt;span classCombining double low line"inline-formula"&gt;<i>α</i>&lt;/span&gt;-pinene and limonene), exocyclic double-bond compound (&lt;span classCombining double low line"inline-formula"&gt;<i>β</i>&lt;/span&gt;-pinene) and a sesquiterpene (&lt;span classCombining double low line"inline-formula"&gt;<i>β</i>&lt;/span&gt;-caryophyllene). The simulations were designed to replicate an idealized smog chamber and oxidative flow reactors (OFRs). The Master Chemical Mechanism (MCM) together with the peroxy radical autoxidation mechanism (PRAM) were used to simulate the gas-phase chemistry. The aim of this study was to compare the potency of MCM and MCM&amp;thinsp;&lt;span classCombining double low line"inline-formula"&gt;+&lt;/span&gt;&amp;thinsp;PRAM in predicting SOA formation. SOA yields were in good agreement with experimental values for chamber simulations when MCM&amp;thinsp;&lt;span classCombining double low line"inline-formula"&gt;+&lt;/span&gt;&amp;thinsp;PRAM was applied, while a stand-alone MCM underpredicted the SOA yields. Compared to experimental yields, the OFR simulations using MCM&amp;thinsp;&lt;span classCombining double low line"inline-formula"&gt;+&lt;/span&gt;&amp;thinsp;PRAM yields were in good agreement for BVOCs oxidized by both &lt;span classCombining double low line"inline-formula"&gt;O3&lt;/span&gt; and OH. On the other hand, a stand-alone MCM underpredicted the SOA mass yields. SOA yields increased with decreasing temperatures and NO concentrations and vice versa. This highlights the limitations posed when using fixed SOA yields in a majority of global and regional models. Few compounds that play a crucial role (&lt;span classCombining double low line"inline-formula"&gt;&amp;gt;95&lt;/span&gt;&amp;thinsp;% of mass load) in contributing to SOA mass increase (using MCM&amp;thinsp;&lt;span classCombining double low line"inline-formula"&gt;+&lt;/span&gt;&amp;thinsp;PRAM) are identified. The results further emphasized that incorporating PRAM in conjunction with MCM does improve SOA mass yield estimation.</p>.}},
  author       = {{Xavier, Carlton and Rusanen, Anton and Zhou, Putian and Dean, Chen and Pichelstorfer, Lukas and Roldin, Pontus and Boy, Michael}},
  issn         = {{1680-7316}},
  language     = {{eng}},
  number       = {{22}},
  pages        = {{13741--13758}},
  publisher    = {{Copernicus GmbH}},
  series       = {{Atmospheric Chemistry and Physics}},
  title        = {{Aerosol mass yields of selected biogenic volatile organic compounds - A theoretical study with nearly explicit gas-phase chemistry}},
  url          = {{http://dx.doi.org/10.5194/acp-19-13741-2019}},
  doi          = {{10.5194/acp-19-13741-2019}},
  volume       = {{19}},
  year         = {{2019}},
}