Source apportionment of biogenic contributions to ozone formation over the United States

Zhang, Rui; Cohan, Alexander; Pour‐Biazar, Arastoo; Cohan, Daniel S.

doi:10.1016/j.atmosenv.2017.05.044

Cited by 35 publications

(26 citation statements)

References 41 publications

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“…Further, higher biogenic VOCs emissions due to the presence of vegetation in Northern Beijing can favor O 3 formation [80]. On the other hand, the higher NOx concentrations observed in Southern Beijing favor O 3 titration [81,82].…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Distribution of PM2.5 and O3 and Their Interaction During the Summer and Winter Seasons in Beijing, China

Zhao

Zheng

2018

Sustainability

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This study analyzed the spatiotemporal variations in PM 2.5 and O 3 , and explored their interaction in the summer and winter seasons in Beijing. To this aim, hourly PM 2.5 and O 3 data for 35 air quality monitoring sites were analyzed during the summer and winter of 2016. Results suggested that the highest PM 2.5 concentration and the lowest O 3 concentration were observed at traffic monitoring sites during the two seasons. A statistically significant (p < 0.05) different diurnal variation of PM 2.5 was observed between the summer and winter seasons, with higher concentrations during daytime summer and nighttime winter. Diurnal variations of O 3 concentrations during the two seasons showed a single peak, occurring at 16:00 and 15:00 in summer and winter, respectively. PM 2.5 presented a spatial pattern with higher concentrations in southern Beijing than in northern areas, particularly evident during wintertime. On the contrary, O 3 concentrations presented a decreasing spatial trend from the north to the south, particularly evident during summer. In addition, we found that PM 2.5 concentrations were positively correlated (p < 0.01, r = 0.57) with O 3 concentrations in summer, but negatively correlated (p < 0.01, r = −0.72) with O 3 concentrations in winter.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Distribution of PM2.5 and O3 and Their Interaction During the Summer and Winter Seasons in Beijing, China

Zhao

Zheng

2018

Sustainability

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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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“…Spatial distribution of isoprene emissions seems to be similar between the two models, qualitatively, except in low emission areas with BEIS where MEGAN shows much higher emission, relatively ( Figure 5). In the United States, a similar pattern that led to gross overestimation of isoprene concentrations was reported for MEGAN, while BEIS3 had much less overestimation [49,50]. As introduced in previous sections, among the biogenic VOCs, isoprene reacts rapidly with hydroxyl radicals in the atmosphere, thereby significantly contributing to ozone concentrations [48].…”

Section: Emissions and Cmaq Model Performancementioning

confidence: 65%

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

Kim

et al. 2017

Atmosphere

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Abstract:In this study, we examined how modeled ozone concentrations respond to changes in anthropogenic emissions when different modeled emissions of biogenic volatile organic compounds (BVOCs) are used. With biogenic emissions estimated by the Model of Emissions of Gases and Aerosols from Nature (MEGAN) and the Biogenic Emissions Inventory System Version 3 (BEIS3), the Community Multi-scale Air Quality with the High-order Direct Decouple Method (CMAQ-HDDM) simulations were conducted to acquire sensitivity coefficients. For the case study, we chose 17-26 August 2007, when the Southern Korean peninsula experienced region-wide ozone standard exceedances. The results show that modeled local sensitivities of ozone to anthropogenic emissions in certain NO x -saturated places can differ significantly depending on the method used to estimate BVOC emission, with an opposite trend of ozone changes alongside NO x reductions often shown in model runs using MEGAN and BEIS3. Findings of increased ozone concentrations with one model and decreased ozone concentrations with the other model implies that estimating BVOCs emissions is an important element in predicting variability in ozone concentration and determining the responses of ozone concentrations to emission changes, a discovery that may lead to different policy decisions related to air quality improvement. Quantitatively, areas in the 3-km modeling domain that experienced daily maximum one-hour ozone concentrations greater than 120 ppb (MDA1O3) showed differences of over 20 ppb in MDA1O3 values between model runs with MEGAN and BEIS3. For selected monitoring sites, the maximum difference in relative daily maximum eight-hour ozone concentrations (MDA8O3) response between the methods to model BVOCs was 4.2 ppb in MDA8O3 when we adopted a method similar to the Relative Reduction Factor used by the US Environmental Protection Agency (EPA).

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Source apportionment of biogenic contributions to ozone formation over the United States

Cited by 35 publications

References 41 publications

Spatiotemporal Distribution of PM2.5 and O3 and Their Interaction During the Summer and Winter Seasons in Beijing, China

Spatiotemporal Distribution of PM2.5 and O3 and Their Interaction During the Summer and Winter Seasons in Beijing, China

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

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

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