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Is atmospheric oxidation capacity better in indicating tropospheric O_(3) formation?

Frontiers of Environmental Science & Engineering 2022年第5期16卷 127-133页

作者： Peng Wang Shengqiang Zhu mihalis vrekoussis Guy PBrasseur Shuxiao Wang Hongliang Zhang Department of Atmospheric and Oceanic Sciences Fudan UniversityShanghai 200438China IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health Fudan UniversityShanghai 200438China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science&EngineeringFudan UniversityShanghai 200438China Institute of Environmental Physics University of BremenBremen D-28359Germany Climate and Atmosphere Research Center(CARE-C) the Cyprus InstituteNicosia 27456Cyprus Max Planck Institute for Meteorology Hamburg 20146Germany National Center for Atmospheric Research BoulderCO 80307USA State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China Institute of Eco-Chongming(IEC) Shanghai 202162China

Tropospheric ozone(O_(3))concentration is increasing in China along with dramatic changes in precursor emissions and meteorological conditions,adversely affecting human health and ecosystems.O_(3) is formed from the complex nonlinear photochemical reactions from nitrogen oxides(NOx=NO+NO_(2))and volatile organic compounds(VOCs).Although the mechanism of O_(3) formation is rather clear,describing and analyzing its changes and formation potential at fine spatial and temporal resolution is still a challenge today.In this study,we briefly summarized and evaluated different approaches that indicate O_(3) formation regimes.We identify that atmospheric oxidation capacity(AOC)is a better indicator of photochemical reactions leading to the formation of O_(3) and other secondary pollutants.Results show that AOC has a prominent positive relationship to O_(3) in the major city clusters in China,with a goodness of fit(R^(2))up to 0.6.This outcome provides a novel perspective in characterizing O_(3) formation and has significant implications for formulating control strategies of secondary pollutants.

关键词： O_(3) AOC O_(3) formation regime

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Investigating missing sources of glyoxal over China using a regional air quality model (RAMS-CMAQ)

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Journal of Environmental Sciences 2018年第9期30卷 108-118页

作者： Jialin Li Meigen Zhang Guiqian Tang Fangkun Wu Leonardo M.A. Alvarado mihalis vrekoussis Andreas Richter John P. Burrows State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPQ) Institute of Atmospheric Physics (IAP)Chinese Academy of Sciences (CAS) Beijing 100029 China University of Chinese Academy of Sciences Beijing 100049 China Center for Excellence in Urban Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China Institute of Environmental Physics and Remote Sensing IUP University of Bremen D-28203 Bremen Germany Center of Marine Environmental Sciences MARUM University of Bremen D-28203 Bremen Germany Energy Environment and Water Research Center the Cyprus Institute CY2121 Nicosia Cyprus

Currently, modeling studies tend to significantly underestimate observed space-based glyoxal （CHOCHO） vertical column densities （VCDs）, implying the existence of missing sources of giyoxal. Several recent studies suggest that the emissions of aromatic compounds and molar yields of glyoxal in the chemical mechanisms may both be underestimated, which can affect the simulated glyoxal concentrations. In this study, the influences of these two factors on glyoxal amounts over China were investigated using the RAMS-CMAQ modeling system for January and July 2014. Four sensitivity simulations were performed, and the results were compared to satellite observations. These results demonstrated significant impacts on glyoxal concentrations from these two factors. In case 1, where the emissions of aromatic compounds were increased three-fold, improvements to glyoxal VCDs were seen in high anthropogenic emissions regions. In case 2, where molar yields of glyoxal from isoprene were increased five-fold, the resulted concentrations in July were B-B-fold higher, achieving closer agreement between the modeled and measured glyoxal VCDs. The combined changes from both cases 1 and 2 were applied in case B, and the model succeeded in further reducing the underestimations of glyoxal VCDs. However, the results over most of the regions with pronounced anthropogenic emissions were still underestimated. So the molar yields of giyoxal from anthropogenic precursors were considered in case 4. With these additional mole yield changes （a two-fold increase）, the improved concentrations agreed better with the measurements in regions of the lower reaches of the Yangtze River and Yellow River in January but not in July.

关键词： Glyoxal Volatile organic compounds Molar yields RAMS-CMAQ China

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Investigating missing sources of glyoxal over China using a regional air quality model（RAMS-CMAQ）

Investigating missing sources of glyoxal over China using a ...

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第十三届全国气溶胶会议

作者： Jialin Li Meigen Zhang Guiqian Tang Fangkun Wu Leonardo Alvarad mihalis vrekoussis Andreas Richter John.P.Burrows State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric Physics(IAP)Chinese Academy of Sciences(CAS) University of Chinese Academy of Sciences Center for Excellence in Urban Atmospheric Environment Institute of Urban EnvironmentChinese Academy of Sciences Institute of Environmental Physics and Remote Sensing IUPUniversity of Bremen Center of Marine Environmental Sciences MARUMUniversity of Bremen Energy Environment and Water Research Centerthe Cyprus Institute

Glyoxal（CHOCHO） is one of the volatile organic compounds（VOC） precursors of secondary organic aerosol（SOA）.Currently, modeling studies tend to significantly underestimate observed spacebased glyoxal vertical column densities（VCDs）, implying the existence of missing sources of glyoxal.Several recent studies suggest that aromatic emissions and molar yields of glyoxal in the chemical mechanisms may both be underestimated, which affect the glyoxal simulations.In this study, the influences of these two factors on glyoxal amounts over China were investigated using the RAMS-CMAQ modeling system for January and July 2014.Four sensitivity simulations were performed, and the results were compared to satellite observations.These results demonstrated significant impacts from these two factors.In case 1, where aromatic emissions were increased three-fold, improvements to glyoxal VCDs were seen in high anthropogenic emissions regions.In case 2, where molar yields of glyoxal from biogenic precursors were increased five-fold, the concentration results in July were 3–5-fold higher, achieving closer agreement between the modeled and measured distributions of glyoxal VCDs.The combined changes from both cases 1 and 2 were applied in case 3, and the model succeeded in further reducing the underestimations of glyoxal VCDs.However, the results over most of the regions with pronounced anthropogenic emissions were still not comparable to observations.So the molar yields of glyoxal from anthropogenic precursors were considered in case 4.With these additional yield changes（a two-fold increase）, the concentrations improved in regions of the middle and lower reaches of the Yangtze River and Yellow River.

关键词： glyoxal volatile organic compounds molar yields RAMS-CMAQ China

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