2021
DOI: 10.1016/j.atmosenv.2020.118079
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Simulation of secondary organic aerosol over the Yangtze River Delta region: The impacts from the emissions of intermediate volatility organic compounds and the SOA modeling framework

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Cited by 46 publications
(30 citation statements)
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“…The formation of SOAs from VOCs may experience a few reaction generations (Kroll and Seinfeld, 2008) and could interact with other sources of species during the process (Shrivastava et al, 2017), thereby complicating the goal of identifying the key precursors in contributing to the consequent SOAs. In addition, some primary gases somehow already have low volatility and may not require a long reaction chain to become condensable; for example, some primarily emitted intermediate volatility organic compounds (IVOCs) may substantially contribute to the SOAs (Robinson et al, 2007;Huang et al, 2021). An understanding of the source profiles of primary emissions in both gas and aerosol phases is therefore important for ruling out the source-dependent production of SOAs.…”
Section: Introductionmentioning
confidence: 99%
“…The formation of SOAs from VOCs may experience a few reaction generations (Kroll and Seinfeld, 2008) and could interact with other sources of species during the process (Shrivastava et al, 2017), thereby complicating the goal of identifying the key precursors in contributing to the consequent SOAs. In addition, some primary gases somehow already have low volatility and may not require a long reaction chain to become condensable; for example, some primarily emitted intermediate volatility organic compounds (IVOCs) may substantially contribute to the SOAs (Robinson et al, 2007;Huang et al, 2021). An understanding of the source profiles of primary emissions in both gas and aerosol phases is therefore important for ruling out the source-dependent production of SOAs.…”
Section: Introductionmentioning
confidence: 99%
“…Smog chamber studies involving individual IVOCs species, like higher n-alkanes and 2-ring aromatics, have confirmed their significantly higher SOA formation potentials (Chan et al, 2009;Presto et al, 2010;Liu et al, 2015). In addition, recent model simulations including IVOCs as SOA precursors revealed that 30% ~ 80% of ambient SOA could be explained by IVOCs (Ots et al, 2016;Zhao et al, 2016;Yang et al, 2019;Lu et al, 2020;Huang et al, 2020). However, due to lack of direct measurements, these model simulations used the ratios of IVOCs to other species like primary organic aerosol (POA) or non-methane hydrocarbons (NMHCs) to estimate IVOCs emissions.…”
Section: Introductionmentioning
confidence: 96%
“…Although previous chassis dynamometer tests used limited numbers of vehicles to characterize IVOCs emission (Zhao et al, 2015(Zhao et al, , 2016Tang et al, 2021), the results obtained from the tests were widely applied to recent models and emission inventories (Liu et al, 2017;Lu et al, 2018;Wu et al, 2019;Huang et al, 2020). However, driving conditions were recently found to significantly influence vehicular IVOCs emissions (Drozd et al, 2018;Tang et al, 2021), highlighting the importance of conducting on-road measurements of vehicle-emitted IVOCs under real-world driving condition, which could further narrow the uncertainty of vehicular IVOCs estimates in models and emission inventories.…”
Section: Introductionmentioning
confidence: 99%
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“…The formation of SOA from VOCs may experience a few reaction generations (Knote et al, 2014) and could interact with other sources of species during the process (Shrivastava et al, 2017), hereby complicating the goal of identifying the key precursors in contributing to the consequent SOA. In addition, some primary gases already have somehow low volatility and may not require a long reaction chain to become condensable, such as some primarily emitted intermediate volatility organic compounds (IVOCs) may substantially contribute to the SOA (Robinson et al, 2007;Huang et al, 2021). An understanding of source profiles of primary emissions in both gas and aerosol phases is therefore important to rule out the source-dependant production of SOA.…”
Section: Introductionmentioning
confidence: 99%