Articles | Volume 19, issue 23
https://doi.org/10.5194/acp-19-14677-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-14677-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2019
Research article |
| 05 Dec 2019
| 05 Dec 2019
Regional sources of airborne ultrafine particle number and mass concentrations in California
Xin Yu
Department of Civil and Environmental Engineering, University of
California, Davis, One Shields Avenue, Davis, CA, USA
Melissa Venecek
Department of Land,
Air, and Water Resources, University of California, Davis, One Shields
Avenue, Davis, CA, USA
Anikender Kumar
Department of Civil and Environmental Engineering, University of
California, Davis, One Shields Avenue, Davis, CA, USA
Jianlin Hu
School of Environmental Science and Engineering,
Nanjing University of Information Science and Technology, Nanjing, China
Saffet Tanrikulu
Bay Area
Air Quality Management District, San Francisco, CA, USA
Su-Tzai Soon
Bay Area
Air Quality Management District, San Francisco, CA, USA
Cuong Tran
Bay Area
Air Quality Management District, San Francisco, CA, USA
David Fairley
Bay Area
Air Quality Management District, San Francisco, CA, USA
Michael J. Kleeman
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of
California, Davis, One Shields Avenue, Davis, CA, USA
Related authors
Melissa A. Venecek, Xin Yu, and Michael J. Kleeman
Atmos. Chem. Phys., 19, 9399–9412, https://doi.org/10.5194/acp-19-9399-2019, https://doi.org/10.5194/acp-19-9399-2019, 2019
Short summary
Short summary
Atmospheric ultrafine particles with a diameter < 100 nm are more toxic than larger particles. There are no measurement networks for ultrafine particles, but concentrations can be predicted using models. On-road vehicles, cooking, and aircraft are important sources of ultrafine particles as expected, but natural gas combustion was also found to be a significant source in cities across the United States. Results like this may support future health-effects studies on ultrafine particles.
Yongliang She, Jingyi Li, Xiaopu Lyu, Hai Guo, Momei Qin, Xiaodong Xie, Kangjia Gong, Fei Ye, Jianjiong Mao, Lin Huang, and Jianlin Hu
Atmos. Chem. Phys., 24, 219–233, https://doi.org/10.5194/acp-24-219-2024, https://doi.org/10.5194/acp-24-219-2024, 2024
Short summary
Short summary
In this study, we use multi-site volatile organic compound (VOC) measurements to evaluate the CMAQ-model-predicted VOCs and assess the impacts of VOC bias on O3 simulation. Our results demonstrate that current modeling setups and emission inventories are likely to underpredict VOC concentrations, and this underprediction of VOCs contributes to lower O3 predictions in China.
Fei Ye, Jingyi Li, Yaqin Gao, Hongli Wang, Jingyu An, Cheng Huang, Song Guo, Keding Lu, Kangjia Gong, Haowen Zhang, Momei Qin, and Jianlin Hu
EGUsphere, https://doi.org/10.5194/egusphere-2023-3042, https://doi.org/10.5194/egusphere-2023-3042, 2024
Short summary
Short summary
The gas-phase chemistry and formation of secondary organic aerosols (SOA) from naphthalene and methylnaphthalene have not been explicitly addressed in models, leaving their contributions unquantified at regional scales. In this study, we incorporated their emissions and SOA parameterizations into an air quality model, revealing the significant potential of these compounds for forming SOA with minimal atmospheric emissions in highly polluted environment like China.
Xiaodong Xie, Jianlin Hu, Momei Qin, Song Guo, Min Hu, Dongsheng Ji, Hongli Wang, Shengrong Lou, Cheng Huang, Chong Liu, Hongliang Zhang, Qi Ying, Hong Liao, and Yuanhang Zhang
Atmos. Chem. Phys., 23, 10563–10578, https://doi.org/10.5194/acp-23-10563-2023, https://doi.org/10.5194/acp-23-10563-2023, 2023
Short summary
Short summary
The atmospheric age of particles reflects how long particles have been formed and suspended in the atmosphere, which is closely associated with the evolution processes of particles. An analysis of the atmospheric age of PM2.5 provides a unique perspective on the evolution processes of different PM2.5 components. The results also shed lights on how to design effective emission control actions under unfavorable meteorological conditions.
Lizi Tang, Min Hu, Dongjie Shang, Xin Fang, Jianjiong Mao, Wanyun Xu, Jiacheng Zhou, Weixiong Zhao, Yaru Wang, Chong Zhang, Yingjie Zhang, Jianlin Hu, Limin Zeng, Chunxiang Ye, Song Guo, and Zhijun Wu
Atmos. Chem. Phys., 23, 4343–4359, https://doi.org/10.5194/acp-23-4343-2023, https://doi.org/10.5194/acp-23-4343-2023, 2023
Short summary
Short summary
There was an evident distinction in the frequency of new particle formation (NPF) events at Nam Co station on the Tibetan Plateau: 15 % in pre-monsoon season and 80 % in monsoon season. The frequent NPF events in monsoon season resulted from the higher frequency of southerly air masses, which brought the organic precursors to participate in the NPF process. It increased the amount of aerosol and CCN compared with those in pre-monsoon season, which may markedly affect earth's radiation balance.
Xun Li, Momei Qin, Lin Li, Kangjia Gong, Huizhong Shen, Jingyi Li, and Jianlin Hu
Atmos. Chem. Phys., 22, 14799–14811, https://doi.org/10.5194/acp-22-14799-2022, https://doi.org/10.5194/acp-22-14799-2022, 2022
Short summary
Short summary
Photochemical indicators have been widely used to predict O3–NOx–VOC sensitivity with given thresholds. Here we assessed the effectiveness of four indicators with a case study in the Yangtze River Delta, China. The overall performance was good, while some indicators showed inconsistencies with the O3 isopleths. The methodology used to determine the thresholds may produce uncertainties. These results would improve our understanding of the use of photochemical indicators in policy implications.
Jinjin Sun, Momei Qin, Xiaodong Xie, Wenxing Fu, Yang Qin, Li Sheng, Lin Li, Jingyi Li, Ishaq Dimeji Sulaymon, Lei Jiang, Lin Huang, Xingna Yu, and Jianlin Hu
Atmos. Chem. Phys., 22, 12629–12646, https://doi.org/10.5194/acp-22-12629-2022, https://doi.org/10.5194/acp-22-12629-2022, 2022
Short summary
Short summary
NO3- has become the dominant and the least reduced chemical component of fine particulate matter in China. NO3- formation is mostly in the NH3-rich regime in the Yangtze River Delta (YRD). OH + NO2 contributes 60 %–83 % of the TNO3 production rates, and the N2O5 heterogeneous pathway contributes 10 %–36 %. The N2O5 heterogeneous pathway becomes more important in cold seasons. Local emissions and regional transportation contribute 50 %–62 % and 38 %–50 % to YRD NO3- concentrations, respectively.
Shenglun Wu, Hyung Joo Lee, Andrea Anderson, Shang Liu, Toshihiro Kuwayama, John H. Seinfeld, and Michael J. Kleeman
Atmos. Chem. Phys., 22, 4929–4949, https://doi.org/10.5194/acp-22-4929-2022, https://doi.org/10.5194/acp-22-4929-2022, 2022
Short summary
Short summary
An ozone control experiment usually conducted in the laboratory was installed in a trailer and moved to the outdoor environment to directly confirm that we are controlling the right sources in order to lower ambient ozone concentrations. Adding small amounts of precursor oxides of nitrogen and volatile organic compounds to ambient air showed that the highest ozone concentrations are best controlled by reducing concentrations of oxides of nitrogen. The results confirm satellite measurements.
Ruqian Miao, Qi Chen, Manish Shrivastava, Youfan Chen, Lin Zhang, Jianlin Hu, Yan Zheng, and Keren Liao
Atmos. Chem. Phys., 21, 16183–16201, https://doi.org/10.5194/acp-21-16183-2021, https://doi.org/10.5194/acp-21-16183-2021, 2021
Short summary
Short summary
We apply process-based and observation-constrained schemes to simulate organic aerosol in China and conduct comprehensive model–observation comparisons. The results show that anthropogenic semivolatile and intermediate-volatility organic compounds (SVOCs and IVOCs) are the main sources of secondary organic aerosol (SOA) in polluted regions, for which the residential sector is perhaps the predominant contributor. The hydroxyl radical level is also important for SOA modeling in polluted regions.
Meng Gao, Yang Yang, Hong Liao, Bin Zhu, Yuxuan Zhang, Zirui Liu, Xiao Lu, Chen Wang, Qiming Zhou, Yuesi Wang, Qiang Zhang, Gregory R. Carmichael, and Jianlin Hu
Atmos. Chem. Phys., 21, 11405–11421, https://doi.org/10.5194/acp-21-11405-2021, https://doi.org/10.5194/acp-21-11405-2021, 2021
Short summary
Short summary
Light absorption and radiative forcing of black carbon (BC) is influenced by both BC itself and its interactions with other aerosol chemical compositions. In this study, we used the online coupled WRF-Chem model to examine how emission control measures during the Asian-Pacific Economic Cooperation (APEC) conference affect the mixing state and light absorption of BC and the associated implications for BC-PBL interactions.
Zhihao Shi, Lin Huang, Jingyi Li, Qi Ying, Hongliang Zhang, and Jianlin Hu
Atmos. Chem. Phys., 20, 13455–13466, https://doi.org/10.5194/acp-20-13455-2020, https://doi.org/10.5194/acp-20-13455-2020, 2020
Short summary
Short summary
Meteorological conditions play important roles in the formation of O3 and PM2.5 pollution in China. O3 is most sensitive to temperature and the sensitivity is dependent on the O3 chemistry formation or loss regime. PM2.5 is negatively sensitive to temperature, wind speed, and planetary boundary layer height and positively sensitive to humidity. The results imply that air quality in certain regions of China is sensitive to climate changes.
Jingyi Li, Haowen Zhang, Qi Ying, Zhijun Wu, Yanli Zhang, Xinming Wang, Xinghua Li, Yele Sun, Min Hu, Yuanhang Zhang, and Jianlin Hu
Atmos. Chem. Phys., 20, 7291–7306, https://doi.org/10.5194/acp-20-7291-2020, https://doi.org/10.5194/acp-20-7291-2020, 2020
Short summary
Short summary
Large gaps still exist in modeled and observed secondary organic aerosol (SOA) mass loading and properties. Here we investigated the impacts of water partitioning into organic aerosol and nonideality of the organic–water mixture on SOA over eastern China using a regional 3D model. SOA is increased more significantly in humid and hot environments. Increases in SOA further cause an enhancement of the cooling effects of aerosols. It is crucial to consider the above processes in modeling SOA.
Meng Gao, Jinhui Gao, Bin Zhu, Rajesh Kumar, Xiao Lu, Shaojie Song, Yuzhong Zhang, Beixi Jia, Peng Wang, Gufran Beig, Jianlin Hu, Qi Ying, Hongliang Zhang, Peter Sherman, and Michael B. McElroy
Atmos. Chem. Phys., 20, 4399–4414, https://doi.org/10.5194/acp-20-4399-2020, https://doi.org/10.5194/acp-20-4399-2020, 2020
Short summary
Short summary
A regional fully coupled meteorology–chemistry model, Weather Research and Forecasting model with Chemistry (WRF-Chem), was employed to study the seasonality of ozone (O3) pollution and its sources in both China and India.
Jingwei Liu, Xin Li, Yiming Yang, Haichao Wang, Yusheng Wu, Xuewei Lu, Mindong Chen, Jianlin Hu, Xiaobo Fan, Limin Zeng, and Yuanhang Zhang
Atmos. Meas. Tech., 12, 4439–4453, https://doi.org/10.5194/amt-12-4439-2019, https://doi.org/10.5194/amt-12-4439-2019, 2019
Short summary
Short summary
Incoherent broadband cavity-enhanced absorption spectroscopy (IBBCEAS) has been proven to be a reliable method for measuring glyoxal and methylglyoxal in the atmosphere. However, the commonly overlying strong spectral absorption of nitrogen dioxide hampers the accurate and sensitive resolve of the weak absorption features of glyoxal and methylglyoxal. Here, we report a custom-built IBBCEAS system that could overcome this problem by quantitatively removing nitrogen dioxide from the sample air.
Melissa A. Venecek, Xin Yu, and Michael J. Kleeman
Atmos. Chem. Phys., 19, 9399–9412, https://doi.org/10.5194/acp-19-9399-2019, https://doi.org/10.5194/acp-19-9399-2019, 2019
Short summary
Short summary
Atmospheric ultrafine particles with a diameter < 100 nm are more toxic than larger particles. There are no measurement networks for ultrafine particles, but concentrations can be predicted using models. On-road vehicles, cooking, and aircraft are important sources of ultrafine particles as expected, but natural gas combustion was also found to be a significant source in cities across the United States. Results like this may support future health-effects studies on ultrafine particles.
Ali Akherati, Christopher D. Cappa, Michael J. Kleeman, Kenneth S. Docherty, Jose L. Jimenez, Stephen M. Griffith, Sebastien Dusanter, Philip S. Stevens, and Shantanu H. Jathar
Atmos. Chem. Phys., 19, 4561–4594, https://doi.org/10.5194/acp-19-4561-2019, https://doi.org/10.5194/acp-19-4561-2019, 2019
Short summary
Short summary
Unburned and partially burned organic compounds emitted from fossil fuel and biomass combustion can react in the atmosphere in the presence of sunlight to form particles. In this work, we use an air pollution model to examine the influence of these organic compounds released by motor vehicles and fires on fine particle pollution in southern California.
Junfeng Wang, Dantong Liu, Xinlei Ge, Yangzhou Wu, Fuzhen Shen, Mindong Chen, Jian Zhao, Conghui Xie, Qingqing Wang, Weiqi Xu, Jie Zhang, Jianlin Hu, James Allan, Rutambhara Joshi, Pingqing Fu, Hugh Coe, and Yele Sun
Atmos. Chem. Phys., 19, 447–458, https://doi.org/10.5194/acp-19-447-2019, https://doi.org/10.5194/acp-19-447-2019, 2019
Short summary
Short summary
This work is part of the UK-China APHH campaign. We used a laser-only Aerodyne soot particle aerosol mass spectrometer, for the first time, to investigate the concentrations, size distributions and chemical compositions for those ambient submicron aerosol particles only with black carbon as cores. Our findings are valuable to understand the BC properties and processes in the densely populated megacities.
Christina B. Zapata, Chris Yang, Sonia Yeh, Joan Ogden, and Michael J. Kleeman
Geosci. Model Dev., 11, 1293–1320, https://doi.org/10.5194/gmd-11-1293-2018, https://doi.org/10.5194/gmd-11-1293-2018, 2018
Short summary
Short summary
The CA-REMARQUE emissions model translates policies designed for climate change mitigation into inputs needed for air pollution analysis in California. The model captures the complicated trade-offs associated with changing fuels and technologies that sometimes increase air pollution emissions in some areas while decreasing emissions in other areas. These detailed calculations are needed in highly populated regions like California where simple emissions controls have already been applied.
Christina B. Zapata, Chris Yang, Sonia Yeh, Joan Ogden, and Michael J. Kleeman
Atmos. Chem. Phys., 18, 4817–4830, https://doi.org/10.5194/acp-18-4817-2018, https://doi.org/10.5194/acp-18-4817-2018, 2018
Short summary
Short summary
California's greenhouse gas reduction programs will require adoption of low-carbon energy sources across all economic sectors. We selected the least-cost portfolio of new energy sources using an energy–economic model. We then specified new air pollution emissions and simulated air quality with 4 km spatial resolution across the entire state. We find that the adoption of low-carbon energy reduced air pollution deaths 24–26 %, providing USD 11.4–20.4 billion per year of economic benefits.
Shantanu H. Jathar, Christopher Heppding, Michael F. Link, Delphine K. Farmer, Ali Akherati, Michael J. Kleeman, Joost A. de Gouw, Patrick R. Veres, and James M. Roberts
Atmos. Chem. Phys., 17, 8959–8970, https://doi.org/10.5194/acp-17-8959-2017, https://doi.org/10.5194/acp-17-8959-2017, 2017
Short summary
Short summary
Our work makes novel emissions measurements of isocyanic acid, a toxic gas, from a modern-day diesel engine and finds that diesel engines emit isocyanic acid but the emissions control devices do not enhance or destroy the isocyanic acid. Air quality model calculations suggest that diesel engines are possibly important sources of isocyanic acid in urban environments although the isocyanic acid levels are ten times lower than levels linked to adverse human health effects.
Jianlin Hu, Shantanu Jathar, Hongliang Zhang, Qi Ying, Shu-Hua Chen, Christopher D. Cappa, and Michael J. Kleeman
Atmos. Chem. Phys., 17, 5379–5391, https://doi.org/10.5194/acp-17-5379-2017, https://doi.org/10.5194/acp-17-5379-2017, 2017
Short summary
Short summary
Organic aerosol is a major constituent of ultrafine particulate matter (PM0.1). In this study, a source-oriented air quality model was used to simulate the concentrations and sources of primary and secondary organic aerosols in PM0.1 in California for a 9-year modeling period to provide useful information for epidemiological studies to further investigate the associations with health outcomes.
Hsiang-He Lee, Shu-Hua Chen, Michael J. Kleeman, Hongliang Zhang, Steven P. DeNero, and David K. Joe
Atmos. Chem. Phys., 16, 8353–8374, https://doi.org/10.5194/acp-16-8353-2016, https://doi.org/10.5194/acp-16-8353-2016, 2016
Short summary
Short summary
A source-oriented CCN module was implemented in a source-oriented chemistry model to study the effect of aerosol mixing state on fog formation. The fraction of aerosols activating into CCN at a supersaturation of 0.5 % in the Central Valley decreased from 94 % in the internal mixture model to 80 % in the source-oriented model. The internal mixture model predicted greater CCN activation than the source-oriented model due to artificial coating of hydrophobic particles with hygroscopic components.
Christopher D. Cappa, Shantanu H. Jathar, Michael J. Kleeman, Kenneth S. Docherty, Jose L. Jimenez, John H. Seinfeld, and Anthony S. Wexler
Atmos. Chem. Phys., 16, 3041–3059, https://doi.org/10.5194/acp-16-3041-2016, https://doi.org/10.5194/acp-16-3041-2016, 2016
Short summary
Short summary
Losses of vapors to walls of chambers can negatively bias SOA formation measurements, consequently leading to low predicted SOA concentrations in air quality models. Here, we show that accounting for such vapor losses leads to substantial increases in the predicted amount of SOA formed from VOCs and to notable increases in the O : C atomic ratio in two US regions. Comparison with a variety of observational data suggests generally improved model performance when vapor wall losses are accounted for.
S. H. Jathar, C. D. Cappa, A. S. Wexler, J. H. Seinfeld, and M. J. Kleeman
Atmos. Chem. Phys., 16, 2309–2322, https://doi.org/10.5194/acp-16-2309-2016, https://doi.org/10.5194/acp-16-2309-2016, 2016
Short summary
Short summary
Multi-generational chemistry schemes applied in regional models do not increase secondary organic aerosol (SOA) mass production relative to traditional "two-product" schemes when both models are fitted to the same chamber data. The multi-generational chemistry schemes do change the predicted composition of SOA and the source attribution of SOA.
S. H. Jathar, C. D. Cappa, A. S. Wexler, J. H. Seinfeld, and M. J. Kleeman
Geosci. Model Dev., 8, 2553–2567, https://doi.org/10.5194/gmd-8-2553-2015, https://doi.org/10.5194/gmd-8-2553-2015, 2015
Short summary
Short summary
Multi-generational oxidation of organic vapors can significantly alter the mass, chemical composition and properties of secondary organic aerosol (SOA). Here, we implement a semi-explicit, constrained multi-generational oxidation model of Cappa and Wilson (2012) in a 3-D air quality model. When compared with results from a current-generation SOA model, we predict similar mass concentrations of SOA but a different chemical composition. O:C ratios of SOA are in line with those measured globally.
J. Hu, H. Zhang, Q. Ying, S.-H. Chen, F. Vandenberghe, and M. J. Kleeman
Atmos. Chem. Phys., 15, 3445–3461, https://doi.org/10.5194/acp-15-3445-2015, https://doi.org/10.5194/acp-15-3445-2015, 2015
Short summary
Short summary
Air quality model simulations have been conducted for California from 2000 to 2009 with 4km spatial resolution to provide exposure data for health effect studies. Comprehensive analysis shows that predicted concentrations for many pollutants are in agreement with measurements at monitoring stations, building confidence that the fields may be useful at times and locations where measurements are not available. Data can be downloaded for free at http://faculty.engineering.ucdavis.edu/kleeman/.
H. Zhang, S. P. DeNero, D. K. Joe, H.-H. Lee, S.-H. Chen, J. Michalakes, and M. J. Kleeman
Atmos. Chem. Phys., 14, 485–503, https://doi.org/10.5194/acp-14-485-2014, https://doi.org/10.5194/acp-14-485-2014, 2014
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique
Aqueous-phase chemistry of glyoxal with multifunctional reduced nitrogen compounds: a potential missing route for secondary brown carbon
An updated modeling framework to simulate Los Angeles air quality – Part 1: Model development, evaluation, and source apportionment
Frequent haze events associated with transport and stagnation over the corridor between the North China Plain and Yangtze River Delta
Evaluation of WRF-Chem-simulated meteorology and aerosols over northern India during the severe pollution episode of 2016
How well are aerosol–cloud interactions represented in climate models? – Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption
pH regulates the formation of organosulfates and inorganic sulfate from organic peroxide reaction with dissolved SO2 in aquatic media
Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method
Contribution of intermediate-volatility organic compounds from on-road transport to secondary organic aerosol levels in Europe
Development of an integrated model framework for multi-air-pollutant exposure assessments in high-density cities
CAMx–UNIPAR simulation of secondary organic aerosol mass formed from multiphase reactions of hydrocarbons under the Central Valley urban atmospheres of California
Impact of urbanization on fine particulate matter concentrations over central Europe
Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia
The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics
Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions
Weakened aerosol-radiation interaction exacerbating ozone pollution in eastern China since China’s clean air actions
Effects of simulated secondary organic aerosol water on PM1 levels and composition over the US
Reactive organic carbon air emissions from mobile sources in the United States
Reaction of SO3 with H2SO4 and Its Implication for Aerosol Particle Formation in the Gas Phase and at the Air-Water Interface
Development and evaluation of processes affecting simulation of diel fine particulate matter variation in the GEOS-Chem model
Substantially positive contributions of new particle formation to cloud condensation nuclei under low supersaturation in China based on numerical model improvements
Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China
A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea
Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources
How does tropospheric VOC chemistry affect climate? An investigation of preindustrial control simulations using the Community Earth System Model version 2
Anthropogenic amplification of biogenic secondary organic aerosol production
A dynamic parameterization of sulfuric acid–dimethylamine nucleation and its application in three-dimensional modeling
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts
Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia
Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China
Impact of Landes forest fires on air quality in France during the 2022 summer
Global nitrogen and sulfur deposition mapping using a measurement–model fusion approach
Comprehensive simulations of new particle formation events in Beijing with a cluster dynamics–multicomponent sectional model
Implications of differences between recent anthropogenic aerosol emission inventories for diagnosed AOD and radiative forcing from 1990 to 2019
Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation
Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator
Modelling wintertime sea-spray aerosols under Arctic haze conditions
Impact of solar geoengineering on wildfires in the 21st century in CESM2/WACCM6
Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM)
Contribution of regional aerosol nucleation to low-level CCN in an Amazonian deep convective environment: results from a regionally nested global model
Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate
Foreign emissions exacerbate PM2.5 pollution in China through nitrate chemistry
Analysis of new particle formation events and comparisons to simulations of particle number concentrations based on GEOS-Chem–advanced particle microphysics in Beijing, China
Simulation of organic aerosol, its precursors, and related oxidants in the Landes pine forest in southwestern France: accounting for domain-specific land use and physical conditions
Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations
Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev)
Strong particle production and condensational growth in the upper troposphere sustained by biogenic VOCs from the canopy of the Amazon Basin
Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions
Composited analyses of the chemical and physical characteristics of co-polluted days by ozone and PM2.5 over 2013–2020 in the Beijing–Tianjin–Hebei region
Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry
Julie Camman, Benjamin Chazeau, Nicolas Marchand, Amandine Durand, Grégory Gille, Ludovic Lanzi, Jean-Luc Jaffrezo, Henri Wortham, and Gaëlle Uzu
Atmos. Chem. Phys., 24, 3257–3278, https://doi.org/10.5194/acp-24-3257-2024, https://doi.org/10.5194/acp-24-3257-2024, 2024
Short summary
Short summary
Fine particle (PM1) pollution is a major health issue in the city of Marseille, which is subject to numerous pollution sources. Sampling carried out during the summer enabled a fine characterization of the PM1 sources and their oxidative potential, a promising new metric as a proxy for health impact. PM1 came mainly from combustion sources, secondary ammonium sulfate, and organic nitrate, while the oxidative potential of PM1 came from these sources and from resuspended dust in the atmosphere.
Yuemeng Ji, Zhang Shi, Wenjian Li, Jiaxin Wang, Qiuju Shi, Yixin Li, Lei Gao, Ruize Ma, Weijun Lu, Lulu Xu, Yanpeng Gao, Guiying Li, and Taicheng An
Atmos. Chem. Phys., 24, 3079–3091, https://doi.org/10.5194/acp-24-3079-2024, https://doi.org/10.5194/acp-24-3079-2024, 2024
Short summary
Short summary
The formation mechanisms for secondary brown carbon (SBrC) contributed by multifunctional reduced nitrogen compounds (RNCs) remain unclear. Hence, from combined laboratory experiments and quantum chemical calculations, we investigated the heterogeneous reactions of glyoxal (GL) with multifunctional RNCs, which are driven by four-step indirect nucleophilic addition reactions. Our results show a possible missing source for SBrC formation on urban, regional, and global scales.
Elyse A. Pennington, Yuan Wang, Benjamin C. Schulze, Karl M. Seltzer, Jiani Yang, Bin Zhao, Zhe Jiang, Hongru Shi, Melissa Venecek, Daniel Chau, Benjamin N. Murphy, Christopher M. Kenseth, Ryan X. Ward, Havala O. T. Pye, and John H. Seinfeld
Atmos. Chem. Phys., 24, 2345–2363, https://doi.org/10.5194/acp-24-2345-2024, https://doi.org/10.5194/acp-24-2345-2024, 2024
Short summary
Short summary
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic traffic emissions and new secondary organic aerosol schemes to represent volatile chemical products. Source apportionment demonstrates that the urban areas of the LA Basin and vicinity are NOx-saturated, with the largest sensitivity of O3 to changes in volatile organic compounds in the urban core. The improvement and remaining issues shed light on the future direction of the model development.
Feifan Yan, Hang Su, Yafang Cheng, Rujin Huang, Hong Liao, Ting Yang, Yuanyuan Zhu, Shaoqing Zhang, Lifang Sheng, Wenbin Kou, Xinran Zeng, Shengnan Xiang, Xiaohong Yao, Huiwang Gao, and Yang Gao
Atmos. Chem. Phys., 24, 2365–2376, https://doi.org/10.5194/acp-24-2365-2024, https://doi.org/10.5194/acp-24-2365-2024, 2024
Short summary
Short summary
PM2.5 pollution is a major air quality issue deteriorating human health, and previous studies mostly focus on regions like the North China Plain and Yangtze River Delta. However, the characteristics of PM2.5 concentrations between these two regions are studied less often. Focusing on the transport corridor region, we identify an interesting seesaw transport phenomenon with stagnant weather conditions, conducive to PM2.5 accumulation over this region, resulting in large health effects.
Prerita Agarwal, David S. Stevenson, and Mathew R. Heal
Atmos. Chem. Phys., 24, 2239–2266, https://doi.org/10.5194/acp-24-2239-2024, https://doi.org/10.5194/acp-24-2239-2024, 2024
Short summary
Short summary
Air pollution levels across northern India are amongst some of the worst in the world, with episodic and hazardous haze events. Here, the ability of the WRF-Chem model to predict air quality over northern India is assessed against several datasets. Whilst surface wind speed and particle pollution peaks are over- and underestimated, respectively, meteorology and aerosol trends are adequately captured, and we conclude it is suitable for investigating severe particle pollution events.
George Jordan, Florent Malavelle, Ying Chen, Amy Peace, Eliza Duncan, Daniel G. Partridge, Paul Kim, Duncan Watson-Parris, Toshihiko Takemura, David Neubauer, Gunnar Myhre, Ragnhild Skeie, Anton Laakso, and James Haywood
Atmos. Chem. Phys., 24, 1939–1960, https://doi.org/10.5194/acp-24-1939-2024, https://doi.org/10.5194/acp-24-1939-2024, 2024
Short summary
Short summary
The 2014–15 Holuhraun eruption caused a huge aerosol plume in an otherwise unpolluted region, providing a chance to study how aerosol alters cloud properties. This two-part study uses observations and models to quantify this relationship’s impact on the Earth’s energy budget. Part 1 suggests the models capture the observed spatial and chemical evolution of the plume, yet no model plume is exact. Understanding these differences is key for Part 2, where changes to cloud properties are explored.
Lin Du, Xiaofan Lv, Makroni Lily, Kun Li, and Narcisse Tsona Tchinda
Atmos. Chem. Phys., 24, 1841–1853, https://doi.org/10.5194/acp-24-1841-2024, https://doi.org/10.5194/acp-24-1841-2024, 2024
Short summary
Short summary
This study explores the pH effect on the reaction of dissolved SO2 with selected organic peroxides. Results show that the formation of organic and/or inorganic sulfate from these peroxides strongly depends on their electronic structures, and these processes are likely to alter the chemical composition of dissolved organic matter in different ways. The rate constants of these reactions exhibit positive pH and temperature dependencies within pH 1–10 and 240–340 K ranges.
Angelo Riccio and Elena Chianese
Atmos. Chem. Phys., 24, 1673–1689, https://doi.org/10.5194/acp-24-1673-2024, https://doi.org/10.5194/acp-24-1673-2024, 2024
Short summary
Short summary
Starting from the Copernicus Atmosphere Monitoring Service (CAMS), we provided a novel ensemble statistical post-processing approach to improve their air quality predictions. Our approach is able to provide reliable short-term forecasts of pollutant concentrations, which is a key challenge in supporting national authorities in their tasks related to EU Air Quality Directives, such as planning and reporting the state of air quality to the citizens.
Stella E. I. Manavi and Spyros N. Pandis
Atmos. Chem. Phys., 24, 891–909, https://doi.org/10.5194/acp-24-891-2024, https://doi.org/10.5194/acp-24-891-2024, 2024
Short summary
Short summary
Organic vapors of intermediate volatility have often been neglected as sources of atmospheric organic aerosol. In this work we use a new approach for their simulation and quantify the contribution of these compounds emitted by transportation sources (gasoline and diesel vehicles) to particulate matter over Europe. The estimated secondary organic aerosol levels are on average 60 % higher than predicted by previous approaches. However, these estimates are probably lower limits.
Zhiyuan Li, Kin-Fai Ho, Harry Fung Lee, and Steve Hung Lam Yim
Atmos. Chem. Phys., 24, 649–661, https://doi.org/10.5194/acp-24-649-2024, https://doi.org/10.5194/acp-24-649-2024, 2024
Short summary
Short summary
This study developed an integrated model framework for accurate multi-air-pollutant exposure assessments in high-density and high-rise cities. Following the proposed integrated model framework, we established multi-air-pollutant exposure models for four major PM10 chemical species as well as four criteria air pollutants with R2 values ranging from 0.73 to 0.93. The proposed framework serves as an important tool for combined exposure assessment in epidemiological studies.
Yujin Jo, Myoseon Jang, Sanghee Han, Azad Madhu, Bonyoung Koo, Yiqin Jia, Zechen Yu, Soontae Kim, and Jinsoo Park
Atmos. Chem. Phys., 24, 487–508, https://doi.org/10.5194/acp-24-487-2024, https://doi.org/10.5194/acp-24-487-2024, 2024
Short summary
Short summary
The CAMx–UNIPAR model simulated the SOA budget formed via multiphase reactions of hydrocarbons and the impact of emissions and climate on SOA characteristics under California’s urban environments during winter 2018. SOA growth was dominated by daytime oxidation of long-chain alkanes and nighttime terpene oxidation with O3 and NO−3 radicals. The spatial distributions of anthropogenic SOA were affected by the northwesterly wind, whereas those of biogenic SOA were insensitive to wind directions.
Peter Huszar, Alvaro Patricio Prieto Perez, Lukáš Bartík, Jan Karlický, and Anahi Villalba-Pradas
Atmos. Chem. Phys., 24, 397–425, https://doi.org/10.5194/acp-24-397-2024, https://doi.org/10.5194/acp-24-397-2024, 2024
Short summary
Short summary
Urbanization transforms rural land into artificial land, while due to human activities, it also introduces a great quantity of emissions. We quantify the impact of urbanization on the final particulate matter pollutant levels by looking not only at these emissions, but also at the way urban land cover influences meteorological conditions, how the removal of pollutants changes due to urban land cover, and how biogenic emissions from vegetation change due to less vegetation in urban areas.
Yinbao Jin, Yiming Liu, Xiao Lu, Xiaoyang Chen, Ao Shen, Haofan Wang, Yinping Cui, Yifei Xu, Siting Li, Jian Liu, Ming Zhang, Yingying Ma, and Qi Fan
Atmos. Chem. Phys., 24, 367–395, https://doi.org/10.5194/acp-24-367-2024, https://doi.org/10.5194/acp-24-367-2024, 2024
Short summary
Short summary
This study aims to address these issues by evaluating eight independent biomass burning (BB) emission inventories (GFED, FINN1.5, FINN2.5 MOS, FINN2.5 MOSVIS, GFAS, FEER, QFED, and IS4FIRES) using the WRF-Chem model and analyzing their impact on aerosol optical properties (AOPs) and direct radiative forcing (DRF) during wildfire events in peninsular Southeast Asia (PSEA) that occurred in March 2019.
Hamza Ahsan, Hailong Wang, Jingbo Wu, Mingxuan Wu, Steven J. Smith, Susanne Bauer, Harrison Suchyta, Dirk Olivié, Gunnar Myhre, Hitoshi Matsui, Huisheng Bian, Jean-François Lamarque, Ken Carslaw, Larry Horowitz, Leighton Regayre, Mian Chin, Michael Schulz, Ragnhild Bieltvedt Skeie, Toshihiko Takemura, and Vaishali Naik
Atmos. Chem. Phys., 23, 14779–14799, https://doi.org/10.5194/acp-23-14779-2023, https://doi.org/10.5194/acp-23-14779-2023, 2023
Short summary
Short summary
We examine the impact of the assumed effective height of SO2 injection, SO2 and BC emission seasonality, and the assumed fraction of SO2 emissions injected as SO4 on climate and chemistry model results. We find that the SO2 injection height has a large impact on surface SO2 concentrations and, in some models, radiative flux. These assumptions are a
hiddensource of inter-model variability and may be leading to bias in some climate model results.
Zhen Peng, Lili Lei, Zhe-Min Tan, Meigen Zhang, Aijun Ding, and Xingxia Kou
Atmos. Chem. Phys., 23, 14505–14520, https://doi.org/10.5194/acp-23-14505-2023, https://doi.org/10.5194/acp-23-14505-2023, 2023
Short summary
Short summary
Annual PM2.5 emissions in China consistently decreased by about 3% to 5% from 2017 to 2020 with spatial variations and seasonal dependencies. High-temporal-resolution and dynamics-based PM2.5 emission estimates provide quantitative diurnal variations for each season. Significant reductions in PM2.5 emissions in the North China Plain and northeast of China in 2020 were caused by COVID-19.
Hao Yang, Lei Chen, Hong Liao, Jia Zhu, Wenjie Wang, and Xin Li
EGUsphere, https://doi.org/10.5194/egusphere-2023-2393, https://doi.org/10.5194/egusphere-2023-2393, 2023
Short summary
Short summary
The present study quantifies the response of aerosol-radiation interaction (ARI) to anthropogenic emission reduction from 2013 to 2017, with the mainly focus on the contribution to changed O3 concentrations over eastern China both in summer and winter by using the WRF-Chem model. The weakened ARI due to decreased anthropogenic emission aggravates the summer (winter) O3 pollution by +0.81 ppb (+0.63 ppb) averaged over eastern China.
Stylianos Kakavas, Spyros N. Pandis, and Athanasios Nenes
Atmos. Chem. Phys., 23, 13555–13564, https://doi.org/10.5194/acp-23-13555-2023, https://doi.org/10.5194/acp-23-13555-2023, 2023
Short summary
Short summary
Water uptake from organic species in aerosol can affect the partitioning of semi-volatile inorganic compounds but are not considered in global and chemical transport models. We address this with a version of the PM-CAMx model that considers such organic water effects and use it to carry out 1-year aerosol simulations over the continental US. We show that such organic water impacts can increase dry PM1 levels by up to 2 μg m-3 when RH levels and PM1 concentrations are high.
Benjamin N. Murphy, Darrell Sonntag, Karl M. Seltzer, Havala O. T. Pye, Christine Allen, Evan Murray, Claudia Toro, Drew R. Gentner, Cheng Huang, Shantanu Jathar, Li Li, Andrew A. May, and Allen L. Robinson
Atmos. Chem. Phys., 23, 13469–13483, https://doi.org/10.5194/acp-23-13469-2023, https://doi.org/10.5194/acp-23-13469-2023, 2023
Short summary
Short summary
We update methods for calculating organic particle and vapor emissions from mobile sources in the USA. Conventionally, particulate matter (PM) and volatile organic carbon (VOC) are speciated without consideration of primary semivolatile emissions. Our methods integrate state-of-the-science speciation profiles and correct for common artifacts when sampling emissions in a laboratory. We quantify impacts of the emission updates on ambient pollution with the Community Multiscale Air Quality model.
Rui Wang, Yang Cheng, Yue Hu, Shasha Chen, Xiaokai Guo, Fengmin Song, Hao Li, and Tianlei Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2009, https://doi.org/10.5194/egusphere-2023-2009, 2023
Short summary
Short summary
We employed QC calculations, BOMD simulations and ACDC kinetic model to characterize the SO3-H2SO4 interaction in the gas phase and at the air-water interface and to study the effect of H2S2O7 on H2SO4-NH3-based clusters. The present work will expand our understanding of new pathway for the loss of SO3 in acidic polluted areas, and help to reveal some missing sources of metropolis industrial regions NPF and to understand the atmospheric organic-sulfur cycle more comprehensively.
Yanshun Li, Randall V. Martin, Chi Li, Brian L. Boys, Aaron van Donkelaar, Jun Meng, and Jeffrey R. Pierce
Atmos. Chem. Phys., 23, 12525–12543, https://doi.org/10.5194/acp-23-12525-2023, https://doi.org/10.5194/acp-23-12525-2023, 2023
Short summary
Short summary
We developed and evaluated processes affecting within-day (diel) variability in PM2.5 concentrations in a chemical transport model over the contiguous US. Diel variability in PM2.5 for the contiguous US is driven by early-morning accumulation into a shallow mixed layer, decreases from mid-morning through afternoon with mixed-layer growth, increases from mid-afternoon through evening as the mixed-layer collapses, and decreases overnight as emissions decrease.
Chupeng Zhang, Shangfei Hai, Yang Gao, Yuhang Wang, Shaoqing Zhang, Lifang Sheng, Bin Zhao, Shuxiao Wang, Jingkun Jiang, Xin Huang, Xiaojing Shen, Junying Sun, Aura Lupascu, Manish Shrivastava, Jerome D. Fast, Wenxuan Cheng, Xiuwen Guo, Ming Chu, Nan Ma, Juan Hong, Qiaoqiao Wang, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 23, 10713–10730, https://doi.org/10.5194/acp-23-10713-2023, https://doi.org/10.5194/acp-23-10713-2023, 2023
Short summary
Short summary
New particle formation is an important source of atmospheric particles, exerting critical influences on global climate. Numerical models are vital tools to understanding atmospheric particle evolution, which, however, suffer from large biases in simulating particle numbers. Here we improve the model chemical processes governing particle sizes and compositions. The improved model reveals substantial contributions of newly formed particles to climate through effects on cloud condensation nuclei.
Xiaodong Xie, Jianlin Hu, Momei Qin, Song Guo, Min Hu, Dongsheng Ji, Hongli Wang, Shengrong Lou, Cheng Huang, Chong Liu, Hongliang Zhang, Qi Ying, Hong Liao, and Yuanhang Zhang
Atmos. Chem. Phys., 23, 10563–10578, https://doi.org/10.5194/acp-23-10563-2023, https://doi.org/10.5194/acp-23-10563-2023, 2023
Short summary
Short summary
The atmospheric age of particles reflects how long particles have been formed and suspended in the atmosphere, which is closely associated with the evolution processes of particles. An analysis of the atmospheric age of PM2.5 provides a unique perspective on the evolution processes of different PM2.5 components. The results also shed lights on how to design effective emission control actions under unfavorable meteorological conditions.
Lea Fink, Matthias Karl, Volker Matthias, Sonia Oppo, Richard Kranenburg, Jeroen Kuenen, Sara Jutterström, Jana Moldanova, Elisa Majamäki, and Jukka-Pekka Jalkanen
Atmos. Chem. Phys., 23, 10163–10189, https://doi.org/10.5194/acp-23-10163-2023, https://doi.org/10.5194/acp-23-10163-2023, 2023
Short summary
Short summary
The Mediterranean Sea is a heavily trafficked shipping area, and air quality monitoring stations in numerous cities along the Mediterranean coast have detected high levels of air pollutants originating from shipping emissions. The current study investigates how existing restrictions on shipping-related emissions to the atmosphere ensure compliance with legislation. Focus was laid on fine particles and particle species, which were simulated with five different chemical transport models.
Lukáš Bartík, Peter Huszár, Jan Karlický, Ondřej Vlček, and Kryštof Eben
EGUsphere, https://doi.org/10.5194/egusphere-2023-1919, https://doi.org/10.5194/egusphere-2023-1919, 2023
Short summary
Short summary
The presented study deals with the attribution of particulate matter (PM) concentrations to anthropogenic emissions over Central Europe using regional scale models. It calculates the present-day contributions of different emissions sectors to urban concentrations of PM and their secondary components. Moreover, the study investigates the effect of chemical non-linearities by using multiple methods of source attribution and calculation of secondary organic aerosol.
Noah A. Stanton and Neil F. Tandon
Atmos. Chem. Phys., 23, 9191–9216, https://doi.org/10.5194/acp-23-9191-2023, https://doi.org/10.5194/acp-23-9191-2023, 2023
Short summary
Short summary
Chemistry in Earth’s atmosphere has a potentially strong but very uncertain impact on climate. Past attempts to fully model chemistry in Earth’s troposphere (the lowest layer of the atmosphere) typically simplified the representation of Earth’s surface, which in turn limited the ability to simulate changes in climate. The cutting-edge model that we use in this study does not require such simplification, and we use it to examine the climate effects of chemical interactions in the troposphere.
Yiqi Zheng, Larry W. Horowitz, Raymond Menzel, David J. Paynter, Vaishali Naik, Jingyi Li, and Jingqiu Mao
Atmos. Chem. Phys., 23, 8993–9007, https://doi.org/10.5194/acp-23-8993-2023, https://doi.org/10.5194/acp-23-8993-2023, 2023
Short summary
Short summary
Biogenic secondary organic aerosols (SOAs) account for a large fraction of fine aerosol at the global scale. Using long-term measurements and a climate model, we investigate anthropogenic impacts on biogenic SOA at both decadal and centennial timescales. Results show that despite reductions in biogenic precursor emissions, SOA has been strongly amplified by anthropogenic emissions since the preindustrial era and exerts a cooling radiative forcing.
Yuyang Li, Jiewen Shen, Bin Zhao, Runlong Cai, Shuxiao Wang, Yang Gao, Manish Shrivastava, Da Gao, Jun Zheng, Markku Kulmala, and Jingkun Jiang
Atmos. Chem. Phys., 23, 8789–8804, https://doi.org/10.5194/acp-23-8789-2023, https://doi.org/10.5194/acp-23-8789-2023, 2023
Short summary
Short summary
We set up a new parameterization for 1.4 nm particle formation rates from sulfuric acid–dimethylamine (SA–DMA) nucleation, fully including the effects of coagulation scavenging and cluster stability. Incorporating the new parameterization into 3-D chemical transport models, we achieved better consistencies between simulation results and observation data. This new parameterization provides new insights into atmospheric nucleation simulations and its effects on atmospheric pollution or health.
María Gonçalves Ageitos, Vincenzo Obiso, Ron L. Miller, Oriol Jorba, Martina Klose, Matt Dawson, Yves Balkanski, Jan Perlwitz, Sara Basart, Enza Di Tomaso, Jerónimo Escribano, Francesca Macchia, Gilbert Montané, Natalie M. Mahowald, Robert O. Green, David R. Thompson, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 23, 8623–8657, https://doi.org/10.5194/acp-23-8623-2023, https://doi.org/10.5194/acp-23-8623-2023, 2023
Short summary
Short summary
Dust aerosols affect our climate differently depending on their mineral composition. We include dust mineralogy in an atmospheric model considering two existing soil maps, which still have large associated uncertainties. The soil data and the distribution of the minerals in different aerosol sizes are key to our model performance. We find significant regional variations in climate-relevant variables, which supports including mineralogy in our current models and the need for improved soil maps.
Margaret R. Marvin, Paul I. Palmer, Fei Yao, Mohd Talib Latif, and Md Firoz Kahn
EGUsphere, https://doi.org/10.5194/egusphere-2023-1232, https://doi.org/10.5194/egusphere-2023-1232, 2023
Short summary
Short summary
We use an atmospheric chemistry model to investigate aerosols emitted from fire activity across Southeast Asia. We find that the limited nature of measurements in this region leads to large uncertainties that significantly hinder the model representation of these aerosols and their impacts on air quality. As a result, the number of monthly attributable deaths is underestimated by as many as 4,500, particularly in March at the peak of the mainland burning season.
Jianyan Lu, Sunling Gong, Jian Zhang, Jianmin Chen, Lei Zhang, and Chunhong Zhou
Atmos. Chem. Phys., 23, 8021–8037, https://doi.org/10.5194/acp-23-8021-2023, https://doi.org/10.5194/acp-23-8021-2023, 2023
Short summary
Short summary
WRF/CUACE was used to assess the cloud chemistry contribution in China. Firstly, the CUACE cloud chemistry scheme was found to reproduce well the cloud processing and consumption of H2O2, O3, and SO2, as well as the increase of sulfate. Secondly, during cloud availability in December under a heavy pollution episode, sulfate production increased 60–95 % and SO2 was reduced by over 80 %. This study provides a way to analyze the phenomenon of overestimation of SO2 in many chemical transport models.
Laurent Menut, Arineh Cholakian, Guillaume Siour, Rémy Lapere, Romain Pennel, Sylvain Mailler, and Bertrand Bessagnet
Atmos. Chem. Phys., 23, 7281–7296, https://doi.org/10.5194/acp-23-7281-2023, https://doi.org/10.5194/acp-23-7281-2023, 2023
Short summary
Short summary
This study is about the wildfires occurring in France during the summer 2022. We study the forest fires that took place in the Landes during the summer of 2022. We show the direct impact of these fires on the air quality, especially downstream of the smoke plume towards the Paris region. We quantify the impact of these fires on the pollutants peak concentrations and the possible exceedance of thresholds.
Hannah J. Rubin, Joshua S. Fu, Frank Dentener, Rui Li, Kan Huang, and Hongbo Fu
Atmos. Chem. Phys., 23, 7091–7102, https://doi.org/10.5194/acp-23-7091-2023, https://doi.org/10.5194/acp-23-7091-2023, 2023
Short summary
Short summary
We update the 2010 global deposition budget for nitrogen (N) and sulfur (S) with new regional wet deposition measurements, improving the ensemble results of 11 global chemistry transport models from HTAP II. Our study demonstrates that a global measurement–model fusion approach can substantially improve N and S deposition model estimates at a regional scale and represents a step forward toward the WMO goal of global fusion products for accurately mapping harmful air pollution.
Chenxi Li, Yuyang Li, Xiaoxiao Li, Runlong Cai, Yaxin Fan, Xiaohui Qiao, Rujing Yin, Chao Yan, Yishuo Guo, Yongchun Liu, Jun Zheng, Veli-Matti Kerminen, Markku Kulmala, Huayun Xiao, and Jingkun Jiang
Atmos. Chem. Phys., 23, 6879–6896, https://doi.org/10.5194/acp-23-6879-2023, https://doi.org/10.5194/acp-23-6879-2023, 2023
Short summary
Short summary
New particle formation and growth in polluted environments are not fully understood despite intensive research. We applied a cluster dynamics–multicomponent sectional model to simulate the new particle formation events observed in Beijing, China. The simulation approximately captures how the events evolve. Further diagnosis shows that the oxygenated organic molecules may have been under-detected, and modulating their abundance leads to significantly improved simulation–observation agreement.
Marianne Tronstad Lund, Gunnar Myhre, Ragnhild Bieltvedt Skeie, Bjørn Hallvard Samset, and Zbigniew Klimont
Atmos. Chem. Phys., 23, 6647–6662, https://doi.org/10.5194/acp-23-6647-2023, https://doi.org/10.5194/acp-23-6647-2023, 2023
Short summary
Short summary
Here we show that differences, in magnitude and trend, between recent global anthropogenic emission inventories have a notable influence on simulated regional abundances of anthropogenic aerosol over the 1990–2019 period. This, in turn, affects estimates of radiative forcing. Our findings form a basis for comparing existing and upcoming studies on anthropogenic aerosols using different emission inventories.
Lei Kong, Xiao Tang, Jiang Zhu, Zifa Wang, Yele Sun, Pingqing Fu, Meng Gao, Huangjian Wu, Miaomiao Lu, Qian Wu, Shuyuan Huang, Wenxuan Sui, Jie Li, Xiaole Pan, Lin Wu, Hajime Akimoto, and Gregory R. Carmichael
Atmos. Chem. Phys., 23, 6217–6240, https://doi.org/10.5194/acp-23-6217-2023, https://doi.org/10.5194/acp-23-6217-2023, 2023
Short summary
Short summary
A multi-air-pollutant inversion system has been developed in this study to estimate emission changes in China during COVID-19 lockdown. The results demonstrate that the lockdown is largely a nationwide road traffic control measure with NOx emissions decreasing by ~40 %. Emissions of other species only decreased by ~10 % due to smaller effects of lockdown on other sectors. Assessment results further indicate that the lockdown only had limited effects on the control of PM2.5 and O3 in China.
Ernesto Reyes-Villegas, Douglas Lowe, Jill S. Johnson, Kenneth S. Carslaw, Eoghan Darbyshire, Michael Flynn, James D. Allan, Hugh Coe, Ying Chen, Oliver Wild, Scott Archer-Nicholls, Alex Archibald, Siddhartha Singh, Manish Shrivastava, Rahul A. Zaveri, Vikas Singh, Gufran Beig, Ranjeet Sokhi, and Gordon McFiggans
Atmos. Chem. Phys., 23, 5763–5782, https://doi.org/10.5194/acp-23-5763-2023, https://doi.org/10.5194/acp-23-5763-2023, 2023
Short summary
Short summary
Organic aerosols (OAs), their sources and their processes remain poorly understood. The volatility basis set (VBS) approach, implemented in air quality models such as WRF-Chem, can be a useful tool to describe primary OA (POA) production and aging. However, the main disadvantage is its complexity. We used a Gaussian process simulator to reproduce model results and to estimate the sources of model uncertainty. We do this by comparing the outputs with OA observations made at Delhi, India, in 2018.
Eleftherios Ioannidis, Kathy S. Law, Jean-Christophe Raut, Louis Marelle, Tatsuo Onishi, Rachel M. Kirpes, Lucia M. Upchurch, Thomas Tuch, Alfred Wiedensohler, Andreas Massling, Henrik Skov, Patricia K. Quinn, and Kerri A. Pratt
Atmos. Chem. Phys., 23, 5641–5678, https://doi.org/10.5194/acp-23-5641-2023, https://doi.org/10.5194/acp-23-5641-2023, 2023
Short summary
Short summary
Remote and local anthropogenic emissions contribute to wintertime Arctic haze, with enhanced aerosol concentrations, but natural sources, which also contribute, are less well studied. Here, modelled wintertime sea-spray aerosols are improved in WRF-Chem over the wider Arctic by including updated wind speed and temperature-dependent treatments. As a result, anthropogenic nitrate aerosols are also improved. Open leads are confirmed to be the main source of sea-spray aerosols over northern Alaska.
Wenfu Tang, Simone Tilmes, David M. Lawrence, Fang Li, Cenlin He, Louisa K. Emmons, Rebecca R. Buchholz, and Lili Xia
Atmos. Chem. Phys., 23, 5467–5486, https://doi.org/10.5194/acp-23-5467-2023, https://doi.org/10.5194/acp-23-5467-2023, 2023
Short summary
Short summary
Globally, total wildfire burned area is projected to increase over the 21st century under scenarios without geoengineering and decrease under the two geoengineering scenarios. Geoengineering reduces fire by decreasing surface temperature and wind speed and increasing relative humidity and soil water. However, geoengineering also yields reductions in precipitation, which offset some of the fire reduction.
Havala O. T. Pye, Bryan K. Place, Benjamin N. Murphy, Karl M. Seltzer, Emma L. D'Ambro, Christine Allen, Ivan R. Piletic, Sara Farrell, Rebecca H. Schwantes, Matthew M. Coggon, Emily Saunders, Lu Xu, Golam Sarwar, William T. Hutzell, Kristen M. Foley, George Pouliot, Jesse Bash, and William R. Stockwell
Atmos. Chem. Phys., 23, 5043–5099, https://doi.org/10.5194/acp-23-5043-2023, https://doi.org/10.5194/acp-23-5043-2023, 2023
Short summary
Short summary
Chemical mechanisms describe how emissions from vehicles, vegetation, and other sources are chemically transformed in the atmosphere to secondary products including criteria and hazardous air pollutants. The Community Regional Atmospheric Chemistry Multiphase Mechanism integrates gas-phase radical chemistry with pathways to fine-particle mass. New species were implemented, resulting in a bottom-up representation of organic aerosol, which is required for accurate source attribution of pollutants.
Xuemei Wang, Hamish Gordon, Daniel P. Grosvenor, Meinrat O. Andreae, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 4431–4461, https://doi.org/10.5194/acp-23-4431-2023, https://doi.org/10.5194/acp-23-4431-2023, 2023
Short summary
Short summary
New particle formation in the upper troposphere is important for the global boundary layer aerosol population, and they can be transported downward in Amazonia. We use a global and a regional model to quantify the number of aerosols that are formed at high altitude and transported downward in a 1000 km region. We find that the majority of the aerosols are from outside the region. This suggests that the 1000 km region is unlikely to be a
closed loopfor aerosol formation, transport and growth.
Shixian Zhai, Daniel J. Jacob, Drew C. Pendergrass, Nadia K. Colombi, Viral Shah, Laura Hyesung Yang, Qiang Zhang, Shuxiao Wang, Hwajin Kim, Yele Sun, Jin-Soo Choi, Jin-Soo Park, Gan Luo, Fangqun Yu, Jung-Hun Woo, Younha Kim, Jack E. Dibb, Taehyoung Lee, Jin-Seok Han, Bruce E. Anderson, Ke Li, and Hong Liao
Atmos. Chem. Phys., 23, 4271–4281, https://doi.org/10.5194/acp-23-4271-2023, https://doi.org/10.5194/acp-23-4271-2023, 2023
Short summary
Short summary
Anthropogenic fugitive dust in East Asia not only causes severe coarse particulate matter air pollution problems, but also affects fine particulate nitrate. Due to emission control efforts, coarse PM decreased steadily. We find that the decrease of coarse PM is a major driver for a lack of decrease of fine particulate nitrate, as it allows more nitric acid to form fine particulate nitrate. The continuing decrease of coarse PM requires more stringent ammonia and nitrogen oxides emission controls.
Jun-Wei Xu, Jintai Lin, Gan Luo, Jamiu Adeniran, and Hao Kong
Atmos. Chem. Phys., 23, 4149–4163, https://doi.org/10.5194/acp-23-4149-2023, https://doi.org/10.5194/acp-23-4149-2023, 2023
Short summary
Short summary
Research on the sources of Chinese PM2.5 pollution has focused on the contributions of China’s domestic emissions. However, the impact of foreign anthropogenic emissions has typically been simplified or neglected. Here we find that foreign anthropogenic emissions play an important role in Chinese PM2.5 pollution through chemical interactions between foreign-transported pollutants and China’s local emissions. Thus, foreign emission reductions are essential for improving Chinese air quality.
Kun Wang, Xiaoyan Ma, Rong Tian, and Fangqun Yu
Atmos. Chem. Phys., 23, 4091–4104, https://doi.org/10.5194/acp-23-4091-2023, https://doi.org/10.5194/acp-23-4091-2023, 2023
Short summary
Short summary
From 12 March to 6 April 2016 in Beijing, there were 11 typical new particle formation days, 13 non-event days, and 2 undefined days. We first analyzed the favorable background of new particle formation in Beijing and then conducted the simulations using four nucleation schemes based on a global chemistry transport model (GEOS-Chem) to understand the nucleation mechanism.
Arineh Cholakian, Matthias Beekmann, Guillaume Siour, Isabelle Coll, Manuela Cirtog, Elena Ormeño, Pierre-Marie Flaud, Emilie Perraudin, and Eric Villenave
Atmos. Chem. Phys., 23, 3679–3706, https://doi.org/10.5194/acp-23-3679-2023, https://doi.org/10.5194/acp-23-3679-2023, 2023
Short summary
Short summary
This article revolves around the simulation of biogenic secondary organic aerosols in the Landes forest (southwestern France). Several sensitivity cases involving biogenic emission factors, land cover data, anthropogenic emissions, and physical or meteorological parameters were performed and each compared to measurements both in the forest canopy and around the forest. The chemistry behind the formation of these aerosols and their production and transport in the forest canopy is discussed.
Marina Liaskoni, Peter Huszar, Lukáš Bartík, Alvaro Patricio Prieto Perez, Jan Karlický, and Ondřej Vlček
Atmos. Chem. Phys., 23, 3629–3654, https://doi.org/10.5194/acp-23-3629-2023, https://doi.org/10.5194/acp-23-3629-2023, 2023
Short summary
Short summary
Wind-blown dust (WBD) emissions emitted from European soils are estimated for the 2007–2016 period, and their impact on the total particulate matter (PM) concentration is calculated. We found a considerable increase in PM concentrations due to such emissions, especially on selected days (rather than on a seasonal average). We also found that WBD emissions are strongest over western Europe, and the highest impacts on PM are calculated for this region.
Yunyao Li, Daniel Tong, Siqi Ma, Saulo R. Freitas, Ravan Ahmadov, Mikhail Sofiev, Xiaoyang Zhang, Shobha Kondragunta, Ralph Kahn, Youhua Tang, Barry Baker, Patrick Campbell, Rick Saylor, Georg Grell, and Fangjun Li
Atmos. Chem. Phys., 23, 3083–3101, https://doi.org/10.5194/acp-23-3083-2023, https://doi.org/10.5194/acp-23-3083-2023, 2023
Short summary
Short summary
Plume height is important in wildfire smoke dispersion and affects air quality and human health. We assess the impact of plume height on wildfire smoke dispersion and the exceedances of the National Ambient Air Quality Standards. A higher plume height predicts lower pollution near the source region, but higher pollution in downwind regions, due to the faster spread of the smoke once ejected, affects pollution exceedance forecasts and the early warning of extreme air pollution events.
Yunfan Liu, Hang Su, Siwen Wang, Chao Wei, Wei Tao, Mira L. Pöhlker, Christopher Pöhlker, Bruna A. Holanda, Ovid O. Krüger, Thorsten Hoffmann, Manfred Wendisch, Paulo Artaxo, Ulrich Pöschl, Meinrat O. Andreae, and Yafang Cheng
Atmos. Chem. Phys., 23, 251–272, https://doi.org/10.5194/acp-23-251-2023, https://doi.org/10.5194/acp-23-251-2023, 2023
Short summary
Short summary
The origins of the abundant cloud condensation nuclei (CCN) in the upper troposphere (UT) of the Amazon remain unclear. With model developments of new secondary organic aerosol schemes and constrained by observation, we show that strong aerosol nucleation and condensation in the UT is triggered by biogenic organics, and organic condensation is key for UT CCN production. This UT CCN-producing mechanism may prevail over broader vegetation canopies and deserves emphasis in aerosol–climate feedback.
Jingyu An, Cheng Huang, Dandan Huang, Momei Qin, Huan Liu, Rusha Yan, Liping Qiao, Min Zhou, Yingjie Li, Shuhui Zhu, Qian Wang, and Hongli Wang
Atmos. Chem. Phys., 23, 323–344, https://doi.org/10.5194/acp-23-323-2023, https://doi.org/10.5194/acp-23-323-2023, 2023
Short summary
Short summary
This paper aims to build up an approach to establish a high-resolution emission inventory of intermediate-volatility and semi-volatile organic compounds in city-scale and detailed source categories and incorporate it into the CMAQ model. We believe this approach can be widely applied to improve the simulation of secondary organic aerosol and its source contributions.
Huibin Dai, Hong Liao, Ke Li, Xu Yue, Yang Yang, Jia Zhu, Jianbing Jin, Baojie Li, and Xingwen Jiang
Atmos. Chem. Phys., 23, 23–39, https://doi.org/10.5194/acp-23-23-2023, https://doi.org/10.5194/acp-23-23-2023, 2023
Short summary
Short summary
We apply the 3-D global chemical transport model (GEOS-Chem) to simulate co-polluted days by O3 and PM2.5 (O3–PM2.5PDs) in Beijing–Tianjin–Hebei in 2013–2020 and investigate the chemical and physical characteristics of O3–PM2.5PDs by composited analyses of such days that are captured by both the observations and the model. We report for the first time the unique features in vertical distributions of aerosols during O3–PM2.5PDs and the physical and chemical characteristics of O3–PM2.5PDs.
Rachel A. Bergin, Monica Harkey, Alicia Hoffman, Richard H. Moore, Bruce Anderson, Andreas Beyersdorf, Luke Ziemba, Lee Thornhill, Edward Winstead, Tracey Holloway, and Timothy H. Bertram
Atmos. Chem. Phys., 22, 15449–15468, https://doi.org/10.5194/acp-22-15449-2022, https://doi.org/10.5194/acp-22-15449-2022, 2022
Short summary
Short summary
Correctly predicting aerosol surface area concentrations is important for determining the rate of heterogeneous reactions in chemical transport models. Here, we compare aircraft measurements of aerosol surface area with a regional model. In polluted air masses, we show that the model underpredicts aerosol surface area by a factor of 2. Despite this disagreement, the representation of heterogeneous chemistry still dominates the overall uncertainty in the loss rate of molecules such as N2O5.
Cited articles
Anttila, T. and Kerminen, V. M.: Condensational growth of atmospheric
nuclei by organic vapours, J. Aerosol Sci., 34, 41–61,
https://doi.org/10.1016/s0021-8502(02)00155-6, 2003.
Bhangar, S., Mullen, N. A., Hering, S. V., Kreisberg, N. M., and Nazaroff,
W. W.: Ultrafine particle concentrations and exposures in seven residences
in northern California, Indoor Air, 21, 132–144,
https://doi.org/10.1111/j.1600-0668.2010.00689.x, 2011.
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance
metrics, goals, and criteria for three-dimensional air quality models, Atmos.
Environ., 40, 4946–4959, https://doi.org/10.1016/j.atmosenv.2005.09.087, 2006.
Brunekreef, B. and Forsberg, B.: Epidemiological evidence of effects of
coarse airborne particles on health, Eur. Respir. J., 26, 309–318, 2005.
Chen, J. J., Ying, Q., and Kleeman, M. J.: Source apportionment of
wintertime secondary organic aerosol during the California regional
PM10/PM2.5 air quality study, Atmos. Environ., 44, 1331–1340, 2010.
Cooper, J. A. E. A.: Dinal AppendixV-G,PM10 source composition
library for the South Coast Air Basin, South Coast Air Quality Management
District, Diamond Bar, California, 1989.
Dockery, D. W. and Stone, P. H.: Cardiovascular risks from fine particulate
air pollution, New Engl. J. Med., 356, 511–513, 2007.
Dunne, E. M., Gordon, H., Kurten, A., Almeida, J., Duplissy, J., Williamson,
C., Ortega, I. K., Pringle, K. J., Adamov, A., Baltensperger, U., Barmet,
P., Benduhn, F., Bianchi, F., Breitenlechner, M., Clarke, A., Curtius, J.,
Dommen, J., Donahue, N. M., Ehrhart, S., Flagan, R. C., Franchin, A., Guida,
R., Hakala, J., Hansel, A., Heinritzi, M., Jokinen, T., Kangasluoma, J.,
Kirkby, J., Kulmala, M., Kupc, A., Lawler, M. J., Lehtipalo, K., Makhmutov,
V., Mann, G., Mathot, S., Merikanto, J., Miettinen, P., Nenes, A., Onnela,
A., Rap, A., Reddington, C. L. S., Riccobono, F., Richards, N. A. D.,
Rissanen, M. P., Rondo, L., Sarnela, N., Schobesberger, S., Sengupta, K.,
Simon, M., Sipilaa, M., Smith, J. N., Stozkhov, Y., Tome, A., Trostl, J.,
Wagner, P. E., Wimmer, D., Winkler, P. M., Worsnop, D. R., and Carslaw, K.
S.: Global atmospheric particle formation from CERN CLOUD measurements,
Science, 354, 1119–1124, https://doi.org/10.1126/science.aaf2649, 2016.
Elleman, R. A. and Covert, D. S.: Aerosol size distribution modeling with
the Community Multiscale Air Quality modeling system in the Pacific
Northwest: 2. Parameterizations for ternary nucleation and nucleation mode
processes, J. Geophys. Res.-Atmos., 114, D11207, https://doi.org/10.1029/2009JD012187, 2009a.
Elleman, R. A. and Covert, D. S.: Aerosol size distribution modeling with
the Community Multiscale Air Quality modeling system in the Pacific
Northwest: 1. Model comparison to observations, J. Geophys. Res.-Atmos., 114,
D11206, https://doi.org/10.1029/2008JD010791, 2009b.
Fann, N., Lamson, A. D., Anenberg, S. C., Wesson, K., Risley, D., and
Hubbell, B. J.: Estimating the National Public Health Burden Associated with
Exposure to Ambient PM2.5 and Ozone, Risk Anal., 32, 81–95, 2012.
Fanourgakis, G. S., Kanakidou, M., Nenes, A., Bauer, S. E., Bergman, T., Carslaw, K. S., Grini, A., Hamilton, D. S., Johnson, J. S., Karydis, V. A., Kirkevåg, A., Kodros, J. K., Lohmann, U., Luo, G., Makkonen, R., Matsui, H., Neubauer, D., Pierce, J. R., Schmale, J., Stier, P., Tsigaridis, K., van Noije, T., Wang, H., Watson-Parris, D., Westervelt, D. M., Yang, Y., Yoshioka, M., Daskalakis, N., Decesari, S., Gysel-Beer, M., Kalivitis, N., Liu, X., Mahowald, N. M., Myriokefalitakis, S., Schrödner, R., Sfakianaki, M., Tsimpidi, A. P., Wu, M., and Yu, F.: Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation, Atmos. Chem. Phys., 19, 8591–8617, https://doi.org/10.5194/acp-19-8591-2019, 2019.
Friend, A. J., Ayoko, G. A., Jager, D., Wust, M., Jayaratne, E. R.,
Jamriska, M., and Morawska, L.: Sources of ultrafine particles and chemical
species along a traffic corridor: comparison of the results from two
receptor models, Environ. Chem., 10, 54–63, 2013.
Fruin, S., Westerdahl, D., Sax, T., Sioutas, C., and Fine, P. M.:
Measurements and predictors of on-road ultrafine particle concentrations and
associated pollutants in Los Angeles, Atmos. Environ., 42, 207–219,
https://doi.org/10.1016/j.atmosenv.2007.09.057, 2008.
Gauderman, W. J., Urman, R., Avol, E., Berhane, K., McConnell, R.,
Rappaport, E., Chang, R., Lurmann, F., and Gilliland, F.: Association of
Improved Air Quality with Lung Development in Children, New Engl. J. Med., 372,
905–913, 2015.
Gu, J. W., Pitz, M., Schnelle-Kreis, J., Diemer, J., Reller, A., Zimmermann,
R., Soentgen, J., Stoelzel, M., Wichmann, H. E., Peters, A., and Cyrys, J.:
Source apportionment of ambient particles: Comparison of positive matrix
factorization analysis applied to particle size distribution and chemical
composition data, Atmos. Environ., 45, 1849–1857, 2011.
Harley, R. A., Hannigan, M. P., and Cass, G. R.: Respeciation of Organic Gas
Emissions and the Detection of Excess Unburned Gasoline in the Atmosphere,
Environ. Sci. Technol., 26, 2395–2408, https://doi.org/10.1021/es00036a010, 1992.
Held, T., Ying, Q., Kaduwela, A., and Kleeman, M.: Modeling particulate
matter in the San Joaquin Valley with a source-oriented externally mixed
three-dimensional photochemical grid model, Atmos. Environ., 38, 3689–3711,
2004.
Held, T., Ying, Q., Kleeman, M. J., Schauer, J. J., and Fraser, M. P.: A
comparison of the UCD/CIT air quality model and the CMB source-receptor
model for primary airborne particulate matter, Atmos. Environ., 39, 2281–2297,
2005.
Hildemann, L. M., Markowski, G. R., and Cass, G. R.: Chemical-Composition of
Emissions from Urban Sources of Fine Organic Aerosol, Environ. Sci.
Technol., 25, 744–759, https://doi.org/10.1021/es00016a021, 1991a.
Hildemann, L. M., Markowski, G. R., Jones, M. C., and Cass, G. R.:
Submicrometer Aerosol Mass Distributions of Emissions from Boilers,
Fireplaces, Automobiles, Diesel Trucks, and Meat-Cooking Operations, Aerosol
Sci. Tech., 14, 138–152, https://doi.org/10.1080/02786829108959478, 1991b.
Hixson, M., Mahmud, A., Hu, J. L., Bai, S., Niemeier, D. A., Handy, S. L.,
Gao, S. Y., Lund, J. R., Sullivan, D. C., and Kleeman, M. J.: Influence of
regional development policies and clean technology adoption on future air
pollution exposure, Atmos. Environ., 44, 552–562, 2010.
Hixson, M., Mahmud, A., Hu, J., and Kleeman, M. J.: Resolving the
interactions between population density and air pollution emissions controls
in the San Joaquin Valley, USA, J. Air Waste Manage., 62, 566–575, https://doi.org/10.1080/10962247.2012.663325, 2012.
Houck, J. E., Chow, J. C., Watson, J. G., Simons, C. A., Prichett,, and L.
C., G., J. M., and Frazier, C. A.: Determination of particle size distribution
and chemical composition of particulate matter from selected sources in
California, California Air Resources Board, OMNI Environment Service
Incorporate, Desert Research Institute, Beaverton, Oregon, 1989.
Hu, J., Howard, C. J., Mitloehner, F., Green, P. G., and Kleeman, M. J.:
Mobile source and livestock feed contributions to regional ozone formation
in Central California, Environ. Sci. Technol., 46, 2781–2789,
https://doi.org/10.1021/es203369p, 2012.
Hu, J., Zhang, H., Chen, S., Ying, Q., Wiedinmyer, C., Vandenberghe, F., and
Kleeman, M. J.: Identifying PM2.5 and PM0.1 sources for epidemiological
studies in California, Environ. Sci. Technol., 48, 4980–4990,
https://doi.org/10.1021/es404810z, 2014a.
Hu, J., Zhang, H., Chen, S. H., Wiedinmyer, C., Vandenberghe, F., Ying, Q.,
and Kleeman, M. J.: Predicting primary PM2.5 and PM0.1 trace composition for
epidemiological studies in California, Environ. Sci. Technol., 48, 4971–4979, https://doi.org/10.1021/es404809j, 2014b.
Hu, J., Zhang, H., Ying, Q., Chen, S.-H., Vandenberghe, F., and Kleeman, M. J.: Long-term particulate matter modeling for health effect studies in California – Part 1: Model performance on temporal and spatial variations, Atmos. Chem. Phys., 15, 3445–3461, https://doi.org/10.5194/acp-15-3445-2015, 2015.
Hu, J., Jathar, S., Zhang, H., Ying, Q., Chen, S.-H., Cappa, C. D., and Kleeman, M. J.: Long-term particulate matter modeling for health effect studies in California – Part 2: Concentrations and sources of ultrafine organic aerosols, Atmos. Chem. Phys., 17, 5379–5391, https://doi.org/10.5194/acp-17-5379-2017, 2017.
Hudda, N., Gould, T., Hartin, K., Larson, T. V., and Fruin, S. A.: Emissions
from an International Airport Increase Particle Number Concentrations 4-fold
at 10 km Downwind, Environ. Sci. Technol., 48, 6628–6635,
https://doi.org/10.1021/es5001566, 2014.
Jung, J. G., Pandis, S. N., and Adams, P. J.: Evaluation of nucleation
theories in a sulfur-rich environment, Aerosol Sci. Tech., 42, 495–504, 2008.
Jung, J. G., Fountoukis, C., Adams, P. J., and Pandis, S. N.: Simulation of
in situ ultrafine particle formation in the eastern United States using
PMCAMx-UF, J. Geophys. Res.-Atmos., 115, D03203, https://doi.org/10.1029/2009JD012313, 2010.
Kasumba, J., Hopke, P. K., Chalupa, D. C., and Utell, M. J.: Comparison of
sources of submicron particle number concentrations measured at two sites in
Rochester, NY, Sci. Total Environ., 407, 5071–5084, 2009.
Kerminen, V. M. and Kulmala, M.: Analytical formulae connecting the “real”
and the “apparent” nucleation rate and the nuclei number concentration for
atmospheric nucleation events, J. Aerosol Sci., 33, 609–622, 2002.
Kleeman, M. J. and Cass, G. R.: Source contributions to the size and
composition distribution of urban particulate air pollution, Atmos. Environ.,
32, 2803–2816, 1998.
Kleeman, M. J. and Cass, G. R.: A 3D Eulerian source-oriented model for an
externally mixed aerosol, Environ. Sci. Technol., 35,
4834–4848, 2001.
Kleeman, M. J., Cass, G. R., and Eldering, A.: Modeling the airborne
particle complex as a source-oriented external mixture, J. Geophys. Res.-Atmos.,
102, 21355–21372, 1997.
Kleeman, M. J., Schauer, J. J., and Cass, G. R.: Size and composition
distribution of fine particulate matter emitted from wood burning, meat
charbroiling, and cigarettes, Environ. Sci. Technol., 33,
3516–3523, https://doi.org/10.1021/es981277q, 1999.
Kleeman, M. J., Schauer, J. J., and Cass, G. R.: Size and composition
distribution of fine particulate matter emitted from motor vehicles,
Environ. Sci. Technol., 34, 1132–1142, https://doi.org/10.1021/es981276y,
2000.
Kleeman, M. J., Ying, Q., Lu, J., Mysliwiec, M. J., Griffin, R. J., Chen, J.
J., and Clegg, S.: Source apportionment of secondary organic aerosol during
a severe photochemical smog episode, Atmos. Environ., 41, 576–591, 2007.
Kleeman, M. J., Robert, M. A., Riddle, S. G., Fine, P. M., Hays, M. D.,
Schauer, J. J., and Hannigan, M. P.: Size distribution of trace organic
species emitted from biomass combustion and meat charbroiling, Atmos.
Environ., 42, 3059–3075, https://doi.org/10.1016/j.atmosenv.2007.12.044, 2008a.
Kleeman, M. J., Robert, M. A., Riddle, S. G., Fine, P. M., Hays, M. D.,
Schauer, J. J., and Hannigan, M. P.: Size distribution of trace organic
species emitted from biomass combustion and meat charbroiling, Atmos. Environ., 42, 6152–6154, 2008b.
Kuwayama, T., Collier, S., Forestieri, S., Brady, J. M., Bertram, T. H.,
Cappa, C. D., Zhang, Q., and Kleeman, M. J.: Volatility of Primary Organic
Aerosol Emitted from Light Duty Gasoline Vehicles, Environ. Sci. Technol., 49, 1569–1577, 2015.
Laurent, O., Hu, J., Li, L., Kleeman, M. J., Bartell, S. M., Cockburn, M.,
Escobedo, L., and Wu, J.: A Statewide Nested Case-Control Study of Preterm
Birth and Air Pollution by Source and Composition: California, 2001–2008,
Environ. Health Persp., 124, 1479–1486, https://doi.org/10.1289/ehp.1510133, 2016.
Li, N., Sioutas, C., Cho, A., Schmitz, D., Misra, C., Sempf, J., Wang, M.
Y., Oberley, T., Froines, J., and Nel, A.: Ultrafine particulate pollutants
induce oxidative stress and mitochondrial damage, Environ. Health Persp., 111,
455–460, 2003.
Li, W. and Hopke, P. K.: Initial Size Distributions and Hygroscopicity of
Indoor Combustion Aerosol Particles, Aerosol Sci. Tech., 19, 305–316,
https://doi.org/10.1080/02786829308959638, 1993.
Lupascu, A., Easter, R., Zaveri, R., Shrivastava, M., Pekour, M., Tomlinson, J., Yang, Q., Matsui, H., Hodzic, A., Zhang, Q., and Fast, J. D.: Modeling particle nucleation and growth over northern California during the 2010 CARES campaign, Atmos. Chem. Phys., 15, 12283–12313, https://doi.org/10.5194/acp-15-12283-2015, 2015.
Mahmud, A., Hixson, M., Hu, J., Zhao, Z., Chen, S.-H., and Kleeman, M. J.: Climate impact on airborne particulate matter concentrations in California using seven year analysis periods, Atmos. Chem. Phys., 10, 11097–11114, https://doi.org/10.5194/acp-10-11097-2010, 2010.
May, A. A., Levin, E. J. T., Hennigan, C. J., Riipinen, I., Lee, T.,
Collett, J. L., Jimenez, J. L., Kreidenweis, S. M., and Robinson, A. L.:
Gas-particle partitioning of primary organic aerosol emissions: 3. Biomass
burning, J. Geophys. Res.-Atmos., 118, 11327–11338, 2013a.
May, A. A., Presto, A. A., Hennigan, C. J., Nguyen, N. T., Gordon, T. D.,
and Robinson, A. L.: Gas-particle partitioning of primary organic aerosol
emissions: (1) Gasoline vehicle exhaust, Atmos. Environ., 77, 128–139, 2013b.
Mazaheri, M., Johnson, G. R., and Morawska, L.: Particle and Gaseous
Emissions from Commercial Aircraft at Each Stage of the Landing and Takeoff
Cycle, Environ. Sci. Technol., 43, 441–446,
https://doi.org/10.1021/es8013985, 2009.
Miller, K. A., Siscovick, D. S., Sheppard, L., Shepherd, K., Sullivan, J.
H., Anderson, G. L., and Kaufman, J. D.: Long-term exposure to air pollution
and incidence of cardiovascular events in women, New Engl. J. Med., 356,
447–458, 2007.
Montagne, D. R., Hoek, G., Klompmaker, J. O., Wang, M., Meliefste, K., and
Brunekreef, B.: Land Use Regression Models for Ultrafine Particles and Black
Carbon Based on Short-Term Monitoring Predict Past Spatial Variation,
Environ. Sci. Technol., 49, 8712–8720, 2015.
Morawska, L., Ristovski, Z., Jayaratne, E. R., Keogh, D. U., and Ling, X.:
Ambient nano and ultrafine particles from motor vehicle emissions:
Characteristics, ambient processing and implications on human exposure,
Atmos. Environ., 42, 8113–8138, 2008.
Mysliwiec, M. J. and Kleeman, M. J.: Source apportionment of secondary
airborne particulate matter in a polluted atmospbere, Environ. Sci. Technol., 36, 5376–5384, 2002.
Napari, I., Noppel, M., Vehkamaki, H., and Kulmala, M.: Parametrization of
ternary nucleation rates for H(2)SO(4)-NH(3)-H(2)O vapors, J. Geophys.
Res.-Atmos., 107, 4381, https://doi.org/10.1029/2002JD002132, 2002.
Nel, A., Xia, T., Madler, L., and Li, N.: Toxic potential of materials at
the nanolevel Science, Science, 311, 622–627, 2006.
Oberdorster, G., Sharp, Z., Atudorei, V., Elder, A., Gelein, R., Lunts, A.,
Kreyling, W., and Cox, C.: Extrapulmonary translocation of ultrafine carbon
particles following whole-body inhalation exposure of rats, J. Toxicol. Env.
Heal. A, 65, 1531–1543, 2002.
Ogulei, D., Hopke, P. K., Chalupa, D. C., and Utell, M. J.: Modeling source
contributions to submicron particle number concentrations measured in
Rochester, New York, Aerosol Sci. Tech., 41, 179–201, 2007.
Ostro, B., Broadwin, R., Green, S., Feng, W. Y., and Lipsett, M.: Fine
particulate air pollution and mortality in nine California counties: Results
from CALFINE, Environ. Health Persp., 114, 29–33, 2006.
Ostro, B., Lipsett, M., Reynolds, P., Goldberg, D., Hertz, A., Garcia, C.,
Henderson, K. D., and Bernstein, L.: Long-Term Exposure to Constituents of
Fine Particulate Air Pollution and Mortality: Results from the California
Teachers Study, Environ. Health Persp., 118, 363–369, 2010.
Ostro, B., Hu, J., Goldberg, D., Reynolds, P., Hertz, A., Bernstein, L., and
Kleeman, M. J.: Associations of mortality with long-term exposures to fine
and ultrafine particles, species and sources: results from the California
Teachers Study Cohort, Environ. Health Persp., 123, 549–556,
https://doi.org/10.1289/ehp.1408565, 2015.
Otte, T. L.: The impact of nudging in the meteorological model for
retrospective air quality simulations. Part II: Evaluating collocated
meteorological and air quality observations, J. Appl. Meteorol. Clim., 47,
1868–1887, https://doi.org/10.1175/2007jamc1791.1, 2008a.
Otte, T. L.: The impact of nudging in the meteorological model for
retrospective air quality simulations. Part I: Evaluation against national
observation networks, J. Appl. Meteorol. Clim., 47, 1853–1867,
https://doi.org/10.1175/2007jamc1790.1, 2008b.
Pope, C. A., Burnett, R. T., Thun, M. J., Calle, E. E., Krewski, D., Ito,
K., and Thurston, G. D.: Lung cancer, cardiopulmonary mortality, and
long-term exposure to fine particulate air pollution, JAMA-J. Am. Med. Assoc.,
287, 1132–1141, 2002.
Pope, C. A., Burnett, R. T., Thurston, G. D., Thun, M. J., Calle, E. E.,
Krewski, D., and Godleski, J. J.: Cardiovascular mortality and long-term
exposure to particulate air pollution – Epidemiological evidence of general
pathophysiological pathways of disease, Circulation, 109, 71–77, 2004.
Pope, C. A., Ezzati, M., and Dockery, D. W.: Fine-Particulate Air Pollution
and Life Expectancy in the United States, New Engl. J. Med., 360, 376–386,
2009.
Rasmussen, D. J., Hu, J. L., Mahmud, A., and Kleeman, M. J.: The
Ozone-Climate Penalty: Past, Present, and Future, Environ. Sci. Technol., 47, 14258–14266, 2013.
Rim, D. H., Wallace, L., and Persily, A.: Infiltration of Outdoor Ultrafine
Panicles into a Test House, Environ. Sci. Technol., 44,
5908–5913, 2010.
Robert, M. A., Kleeman, M. J., and Jakober, C. A.: Size and composition
distributions of particulate matter emissions: Part 2- Heavy-duty diesel
vehicles, J. Air Waste Manage., 57,
1429–1438, 2007a.
Robert, M. A., VanBergen, S., Kleeman, M. J., and Jakober, C. A.: Size and
composition distributions of particulate matter emissions: Part 1 –
Light-duty gasoline vehicles, J. Air Waste Manage., 57, 1414–1428, 2007b.
Schauer, J. J., Kleeman, M. J., Cass, G. R., and Simoneit, B. R. T.:
Measurement of emissions from air pollution sources. 2. C-1 through C-30
organic compounds from medium duty diesel trucks, Environ. Sci. Technol., 33, 1578–1587, https://doi.org/10.1021/es980081n, 1999a.
Schauer, J. J., Kleeman, M. J., Cass, G. R., and Simoneit, B. R. T.:
Measurement of emissions from air pollution sources. 1. C-1 through C-29
organic compounds from meat charbroiling, Environ. Sci. Technol., 33, 1566–1577, https://doi.org/10.1021/es980076j, 1999b.
Schauer, J. J., Kleeman, M. J., Cass, G. R., and Simoneit, B. R. T.:
Measurement of emissions from air pollution sources. 3. C-1-C-29 organic
compounds from fireplace combustion of wood, Environ. Sci. Technol., 35, 1716–1728, https://doi.org/10.1021/es001331e, 2001.
Schauer, J. J., Kleeman, M. J., Cass, G. R., and Simoneit, B. R. T.:
Measurement of emissions from air pollution sources. 4. C-1-C-27 organic
compounds from cooking with seed oils, Environ. Sci. Technol., 36, 567–575, https://doi.org/10.1021/es002053m, 2002a.
Schauer, J. J., Kleeman, M. J., Cass, G. R., and Simoneit, B. R. T.:
Measurement of emissions from air pollution sources. 5. C-1-C-32 organic
compounds from gasoline-powered motor vehicles, Environ. Sci. Technol., 36, 1169–1180, https://doi.org/10.1021/es0108077, 2002b.
Shet, C. S., Cholemari, M. R., and Veeravalli, S. V.: Eulerian spatial and
temporal autocorrelations: assessment of Taylor's hypothesis and a model,
J. Turbul., 18, 1–15, https://doi.org/10.1080/14685248.2017.1357823, 2017.
Sioutas, C., Delfino, R. J., and Singh, M.: Exposure assessment for
atmospheric ultrafine particles (UFPs) and implications in epidemiologic
research, Environ. Health Persp., 113, 947–955, 2005.
Sowlat, M. H., Hasheminassab, S., and Sioutas, C.: Source apportionment of ambient particle number concentrations in central Los Angeles using positive matrix factorization (PMF), Atmos. Chem. Phys., 16, 4849–4866, https://doi.org/10.5194/acp-16-4849-2016, 2016.
Taback, H. J., Brienza, A. R., Macko, J., and Brunetz, N.: Fine particle
emissions from stationary and miscellaneous sources in the South Coast Air
Basin, KVB Report 5806-783, KVB Incorporated, Tustin, California, 1979.
Trostl, J., Chuang, W. K., Gordon, H., Heinritzi, M., Yan, C., Molteni, U.,
Ahlm, L., Frege, C., Bianchi, F., Wagner, R., Simon, M., Lehtipalo, K.,
Williamson, C., Craven, J. S., Duplissy, J., Adamov, A., Almeida, J.,
Bernhammer, A. K., Breitenlechner, M., Brilke, S., Dias, A., Ehrhart, S.,
Flagan, R. C., Franchin, A., Fuchs, C., Guida, R., Gysel, M., Hansel, A.,
Hoyle, C. R., Jokinen, T., Junninen, H., Kangasluoma, J., Keskinen, H., Kim,
J., Krapf, M., Kurten, A., Laaksonen, A., Lawler, M., Leiminger, M., Mathot,
S., Mohler, O., Nieminen, T., Onnela, A., Petaja, T., Piel, F. M.,
Miettinen, P., Rissanen, M. P., Rondo, L., Sarnela, N., Schobesberger, S.,
Sengupta, K., Sipila, M., Smith, J. N., Steiner, G., Tome, A., Virtanen, A.,
Wagner, A. C., Weingartner, E., Wimmer, D., Winkler, P. M., Ye, P. L.,
Carslaw, K. S., Curtius, J., Dommen, J., Kirkby, J., Kulmala, M., Riipinen,
I., Worsnop, D. R., Donahue, N. M., and Baltensperger, U.: The role of
low-volatility organic compounds in initial particle growth in the
atmosphere, Nature, 533, 527–531, https://doi.org/10.1038/nature18271, 2016.
Venecek, M. A., Yu, X., and Kleeman, M. J.: Predicted ultrafine particulate matter source contribution across the continental United States during summertime air pollution events, Atmos. Chem. Phys., 19, 9399–9412, https://doi.org/10.5194/acp-19-9399-2019, 2019.
Wallace, L. and Ott, W.: Personal exposure to ultrafine particles, J. Expo.
Sci. Environ. Epidemiol., 21, 20–30, https://doi.org/10.1038/jes.2009.59, 2011.
Wang, Z. B., Hu, M., Wu, Z. J., Yue, D. L., He, L. Y., Huang, X. F., Liu, X. G., and Wiedensohler, A.: Long-term measurements of particle number size distributions and the relationships with air mass history and source apportionment in the summer of Beijing, Atmos. Chem. Phys., 13, 10159–10170, https://doi.org/10.5194/acp-13-10159-2013, 2013.
Watson, J. G., Chow, J. C., Sodeman, D. A., Lowenthal, D. H., Chang, M. C.
O., Park, K., and Wang, X.: Comparison of four scanning mobility particle
sizers at the Fresno Supersite, Particuology, 9, 204–209,
https://doi.org/10.1016/j.partic.2011.03.002, 2011.
Weichenthal, S., Van Ryswyk, K., Kulka, R., Sun, L., Wallace, L., and
Joseph, L.: In-vehicle exposures to particulate air pollution in Canadian
metropolitan areas: the urban transportation exposure study, Environ. Sci. Technol., 49, 597–605, https://doi.org/10.1021/es504043a, 2015.
Westervelt, D. M., Pierce, J. R., Riipinen, I., Trivitayanurak, W., Hamed, A., Kulmala, M., Laaksonen, A., Decesari, S., and Adams, P. J.: Formation and growth of nucleated particles into cloud condensation nuclei: model–measurement comparison, Atmos. Chem. Phys., 13, 7645–7663, https://doi.org/10.5194/acp-13-7645-2013, 2013.
Xue, J., Li, Y., Peppers, J., Wan, C., Kado, N., Green, P. G., Young, T., and Kleeman, M.: Ultrafine particle emissions from natural gas, biogas and biomethane combustion, Environ. Sci. Technol., 52, 13619–13628, https://doi.org/10.1021/acs.est.8b04170, 2018a.
Xue, J., Xue, W., Sowlat, M., Sioutas, C., Lilinco, A., Hasson, A., and Kleeman, M.: Seasonal and Annual Source Appointment of Carbonaceous Ultrafine Particulate Matter (PM0.1) in Polluted California Cities, Environ. Sci. Technol., 53, 39–49, https://doi.org/10.1021/acs.est.8b04404, 2018b.
Ying, Q. and Kleeman, M. J.: Source contributions to the regional
distribution of secondary particulate matter in California, Atmos. Environ.,
40, 736–752, 2006.
Ying, Q., Lu, J., Allen, P., Livingstone, P., Kaduwela, A., and Kleeman, M.:
Modeling air quality during the California Regional PM10/PM2.5 Air Quality
Study (CRPAQS) using the UCD/CIT source-oriented air quality model – Part I.
Base case model results, Atmos. Environ., 42, 8954–8966, 2008a.
Ying, Q., Lu, J., Kaduwela, A., and Kleeman, M.: Modeling air quality during
the California Regional PM10/PM2.5 Air Quality Study (CPRAQS) using the
UCD/CIT Source Oriented Air Quality Model – Part II. Regional source
apportionment of primary airborne particulate matter, Atmos. Environ., 42,
8967–8978, 2008b.
Yu, F., Luo, G., Pryor, S. C., Pillai, P. R., Lee, S. H., Ortega, J., Schwab, J. J., Hallar, A. G., Leaitch, W. R., Aneja, V. P., Smith, J. N., Walker, J. T., Hogrefe, O., and Demerjian, K. L.: Spring and summer contrast in new particle formation over nine forest areas in North America, Atmos. Chem. Phys., 15, 13993–14003, https://doi.org/10.5194/acp-15-13993-2015, 2015.
Yue, W., Stolzel, M., Cyrys, J., Pitz, M., Heinrich, J., Kreyling, W. G.,
Wichmann, H. E., Peters, A., Wang, S., and Hopke, P. K.: Source
apportionment of ambient fine particle size distribution using positive
matrix factorization in Erfurt, Germany, Sci. Total Environ., 398, 133–144,
2008.
Zhang, H. L. and Ying, Q.: Source apportionment of airborne particulate
matter in Southeast Texas using a source-oriented 3D air quality model,
Atmos. Environ., 44, 3547–3557, 2010.
Zhang, K. M., Wexler, A. S., Zhu, Y. F., Hinds, W. C., and Sioutas, C.:
Evolution of particle number distribution near roadways. Part II: the
“road-to-ambient” process, Atmos. Environ., 38, 6655–6665,
10.1016/j.atmosenv.2004.06.044, 2004.
Zhang, K. M., Wexler, A. S., Niemeier, D. A., Zhu, Y. F., Hinds, W. C., and
Sioutas, C.: Evolution of particle number distribution near roadways. Part
III: Traffic analysis and on-road size resolved particulate emission
factors, Atmos. Environ., 39, 4155–4166, https://doi.org/10.1016/j.atmosenv.2005.04.003, 2005.
Zhang, Y., Liu, P., Liu, X. H., Jacobson, M. Z., McMurry, P. H., Yu, F. Q.,
Yu, S. C., and Schere, K. L.: A comparative study of nucleation
parameterizations: 2. Three-dimensional model application and evaluation, J.
Geophys. Res.-Atmos., 115, D20213, https://doi.org/10.1029/2010jd014151, 2010.
Zhao, Z., Chen, S. H., Kleeman, M. J., Tyree, M., and Cayan, D.: The Impact
of Climate Change on Air Quality-Related Meteorological Conditions in
California. Part I: Present Time Simulation Analysis, J. Climate, 24,
3344–3361, 2011.
Zhu, Y. F., Hinds, W. C., Kim, S., Shen, S., and Sioutas, C.: Study of
ultrafine particles near a major highway with heavy-duty diesel traffic,
Atmos. Environ., 36, 4323–4335, https://doi.org/10.1016/s1352-2310(02)00354-0, 2002a.
Zhu, Y. F., Hinds, W. C., Kim, S., and Sioutas, C.: Concentration and size
distribution of ultrafine particles near a major highway, J. Air
Waste Manage., 52, 1032–1042,
https://doi.org/10.1080/10473289.2002.10470842, 2002b.
Short summary
Predictions and measurements of ultrafine particle number and mass concentrations were in overall good agreement at 14 sites across California in the years 2012, 2015, and 2016. On-road vehicles, food cooking, and aircraft were important sources of ultrafine particles as expected, but natural gas combustion was also a significant source at all locations across California. These results can be used to study the health effects of ultrafine particles.
Predictions and measurements of ultrafine particle number and mass concentrations were in...
Altmetrics
Final-revised paper
Preprint