The Variability of Ozone Sensitivity to Anthropogenic Emissions with Biogenic Emissions Modeled by MEGAN and BEIS3

Kim, Eunhye; Kim, Byeong-Uk; Kim, Hyun Cheol; Kim, Soontae

doi:10.3390/atmos8100187

Cited by 15 publications

(8 citation statements)

References 54 publications

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“…BVOCs play crucial roles in both formation and removal processes of ozone (Calfapietra 35 et al, 2013). Comparison between MEGAN and another widely used biogenic emission model, the Biogenic Emission Inventory System (BEIS) indicated that the influence of biogenic emission models on ozone simulation results is among the highest over all the model inputs (Kim et al, 2017;Zhang et al, 2017). The potential influence of biogenic emissions on aerosol modelling results is more complicated.…”

Section: Estimated Isoprene and Monoterpenes Emissions In France Basementioning

confidence: 99%

Effects of two different biogenic emission models on modelled ozone and aerosol concentrations in Europe

Jiang¹,

Aksoyoğlu²,

Ciarelli³

et al. 2018

Preprint

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Abstract. Biogenic volatile organic compound (BVOC) emissions are one of the essential inputs for chemical transport models (CTMs), but their estimates are associated with large uncertainties leading to significant influences on air quality modelling. This study aims at investigating the effects of using different BVOC emission models on the performance of a CTM in simulating secondary pollutants, i.e. ozone, organic and inorganic aerosols. The European air quality was simulated for the year 2011 by the regional air quality model Comprehensive Air Quality Model with Extensions (CAMx) version 6.3, using BVOC emissions calculated by two emission models: the Paul Scherrer Institute (PSI) model and the Model of Emissions of Gases and Aerosol from Nature (MEGAN) v2.1. Comparison of isoprene and monoterpene emissions from both models showed large differences in their general amounts as well as their spatial distribution both in summer and winter. MEGAN produced more isoprene emissions by a factor of 3 while the PSI model generated three times of monoterpene emissions in summer, while there was negligible difference (~&#8201;4&#8201;%) in sesquiterpene emissions associated with the two models. Despite the large differences in isoprene emissions (i.e. 3-fold), the resulting impact in predicted summer-time ozone proved to be minor (<&#8201;10&#8201;%, O3-MEGAN was higher than O3-PSI by ~&#8201;7&#8201;ppb). Comparisons with measurements from the European air quality database (AirBase) indicated that PSI emissions might improve the model performance at low ozone concentrations, but worsen it at high ozone levels (>&#8201;60&#8201;ppb). A much larger effect of the different BVOC emissions was found for the secondary organic aerosol (SOA) concentrations. The higher monoterpene emissions (a factor of ~&#8201;3) by the PSI model led to higher SOA by ~&#8201;110&#8201;% on average in summer, compared to MEGAN, improving substantially the model performance for organic aerosol (OA): the mean bias between modelled and measured OA at 8 Aerodyne aerosol chemical speciation monitor (ACSM)/Aerodyne aerosol mass spectrometer (AMS) measurement stations was reduced by 21&#8201;%&#8211;83&#8201;% in rural/remote stations. Effects on inorganic aerosols (particulate nitrate, sulphate, and ammonia) were relatively smaller (<&#8201;15&#8201;%).

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Section: Estimated Isoprene and Monoterpenes Emissions In France Basementioning

confidence: 99%

Effects of two different biogenic emission models on modelled ozone and aerosol concentrations in Europe

Jiang¹,

Aksoyoğlu²,

Ciarelli³

et al. 2018

Preprint

View full text Add to dashboard Cite

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“…In particular compounds with very high OH‐reactivities can determine air chemistry in specific periods. The ability of emitting such reactive compounds, however, is very differently expressed in different agricultural species, but this species‐dependence is generally not differentiated in regional air chemistry calculations (Chatani et al., 2015; Kim et al., 2017; Poupkou et al., 2009). For example, significant emissions of limonene, DMNT and sesquiterpenes have been found solely in maize, while in ryegrass only small amounts of isoprene were emitted, rendering this species as low‐impact to air chemistry despite its relatively large emissions of other oxygenated compounds.…”

Section: Discussionmentioning

confidence: 99%

Modeling Intra‐ and Interannual Variability of BVOC Emissions From Maize, Oil‐Seed Rape, and Ryegrass

Havermann

Ghirardo

Schnitzler

et al. 2022

J Adv Model Earth Syst

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Vegetation plays a pivotal role in the exchange of trace gases between the land surface and the atmosphere. The emissions of biogenic volatile organic compounds (BVOCs) with a global mean of 760 TgC a −1 (1980-2010), exceed those from anthropogenic sources with around 110 TgC a −1 (AVOCs, e.g., from transport, solvent use, production and storage processes, and combustion processes) by far (Calfapietra et al., 2013;Piccot et al., 1992;Sindelarova et al., 2014). In addition, BVOCs are generally more reactive than AVOCs. Once emitted into the air, BVOCs immediately start to oxidize with the hydroxyl radical (OH), ozone (O 3 ), nitrate radical (NO 3 ), and in coastal areas with chlorine (Cl) atoms, leading to first generation BVOC products (Peñuelas & Staudt, 2010). The reaction of BVOCs with OH is the dominant kind of BVOC decomposition in the troposphere, which is why the total BVOC-OH reactivity is generally used to quantify the emission impact on atmospheric chemistry

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“…One possible explanation is that BVOC emissions were estimated using less accurate representations of vegetation types and their BVOC EFs. It is critical to ensure more accurate representation of BVOC emissions within air quality simulations, as this could alter regimes of ambient ozone formation and the relative importance of controls on anthropogenic NO X and VOC emissions [36,37]. However, better representation of BVOC emissions in Japan is not a single solution for eliminating overestimation of its ambient ozone concentrations, as these are greatly influenced by ozone transport from the continent, particularly during summer 2013 [38].…”

Section: Discussionmentioning

confidence: 99%

Effects of a Detailed Vegetation Database on Simulated Meteorological Fields, Biogenic VOC Emissions, and Ambient Pollutant Concentrations over Japan

et al. 2018

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Regional air quality simulations provide powerful tools for clarifying mechanisms of heavy air pollution and for considering effective strategies for better air quality. This study introduces a new vegetation database for Japan, which could provide inputs for regional meteorological modeling, and estimating emissions of biogenic volatile organic compounds (BVOCs), both of which are essential components of simulations. It includes newly developed emission factors (EFs) of BVOCs for major vegetation types in Japan, based on existing literature. The new database contributes to improved modeling of meteorological fields due to its updated representation of larger urban areas. Using the new vegetation and EF database, lower isoprene and monoterpene, and higher sesquiterpene emissions are estimated for Japan than those derived from previously available default datasets. These slightly reduce the overestimation of ozone concentrations obtained by a regional chemical transport model, whereas their effects on underestimated secondary organic aerosol (SOA) concentrations are marginal. Further work is necessary, not only on BVOC emissions but also the other simulation components, to further improve the modeling of ozone and SOA concentrations in Japan.

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The Variability of Ozone Sensitivity to Anthropogenic Emissions with Biogenic Emissions Modeled by MEGAN and BEIS3

Cited by 15 publications

References 54 publications

Effects of two different biogenic emission models on modelled ozone and aerosol concentrations in Europe

Effects of two different biogenic emission models on modelled ozone and aerosol concentrations in Europe

Modeling Intra‐ and Interannual Variability of BVOC Emissions From Maize, Oil‐Seed Rape, and Ryegrass

Effects of a Detailed Vegetation Database on Simulated Meteorological Fields, Biogenic VOC Emissions, and Ambient Pollutant Concentrations over Japan

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