Articles | Volume 23, issue 1
https://doi.org/10.5194/acp-23-323-2023
© Author(s) 2023. 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-23-323-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Jan 2023
Research article |
| 10 Jan 2023
| 10 Jan 2023
Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions
Jingyu An
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention,
Department of Environmental Science and Engineering, Fudan University,
Shanghai 200438, China
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Dandan Huang
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Momei Qin
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, Nanjing University of Information
Science & Technology, Nanjing 210044, China
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Rusha Yan
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Liping Qiao
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Min Zhou
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Yingjie Li
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Shuhui Zhu
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Qian Wang
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Hongli Wang
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
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Atmos. Meas. Tech., 16, 15–28, https://doi.org/10.5194/amt-16-15-2023, https://doi.org/10.5194/amt-16-15-2023, 2023
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This work examined the phase partitioning behaviors of organic compounds at hourly resolution in ambient conditions with the use of the CHemical Analysis of aeRosols ONline (CHARON) inlet coupled to a proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToF-MS). Properly accounting for the neutral losses of small moieties during the molecular feature extraction from PTR mass spectra could significantly reduce uncertainties associated with the gas–particle partitioning measurements.
Zhaofeng Lv, Zhenyu Luo, Fanyuan Deng, Xiaotong Wang, Junchao Zhao, Lucheng Xu, Tingkun He, Yingzhi Zhang, Huan Liu, and Kebin He
Atmos. Chem. Phys., 22, 15685–15702, https://doi.org/10.5194/acp-22-15685-2022, https://doi.org/10.5194/acp-22-15685-2022, 2022
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This study developed a hybrid model, CMAQ-RLINE_URBAN, to predict the urban NO2 concentrations at a high spatial resolution. To estimate the influence of various street canyons on the dispersion of air pollutants, a new parameterization scheme was established based on computational fluid dynamics and machine learning methods. This work created a new method to identify the characteristics of vehicle-related air pollution at both city and street scales simultaneously and accurately.
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
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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.
Min Zhou, Guangjie Zheng, Hongli Wang, Liping Qiao, Shuhui Zhu, DanDan Huang, Jingyu An, Shengrong Lou, Shikang Tao, Qian Wang, Rusha Yan, Yingge Ma, Changhong Chen, Yafang Cheng, Hang Su, and Cheng Huang
Atmos. Chem. Phys., 22, 13833–13844, https://doi.org/10.5194/acp-22-13833-2022, https://doi.org/10.5194/acp-22-13833-2022, 2022
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The trend of aerosol pH and its drivers is crucial in understanding the multiphase formation pathways of aerosols. We reported the first trend analysis of aerosol pH from 2011 to 2019 in eastern China. Although significant variations of aerosol compositions were observed from 2011 to 2019, the aerosol pH estimated by model only slightly declined by 0.24. Our work shows that the opposite effects of SO42− and non-volatile cation changes play key roles in determining the moderate pH trend.
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
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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.
Yishuo Guo, Chao Yan, Yuliang Liu, Xiaohui Qiao, Feixue Zheng, Ying Zhang, Ying Zhou, Chang Li, Xiaolong Fan, Zhuohui Lin, Zemin Feng, Yusheng Zhang, Penggang Zheng, Linhui Tian, Wei Nie, Zhe Wang, Dandan Huang, Kaspar R. Daellenbach, Lei Yao, Lubna Dada, Federico Bianchi, Jingkun Jiang, Yongchun Liu, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 22, 10077–10097, https://doi.org/10.5194/acp-22-10077-2022, https://doi.org/10.5194/acp-22-10077-2022, 2022
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Gaseous oxygenated organic molecules (OOMs) are able to form atmospheric aerosols, which will impact on human health and climate change. Here, we find that OOMs in urban Beijing are dominated by anthropogenic sources, i.e. aromatic (29 %–41 %) and aliphatic (26 %–41 %) OOMs. They are also the main contributors to the condensational growth of secondary organic aerosols (SOAs). Therefore, the restriction on anthropogenic VOCs is crucial for the reduction of SOAs and haze formation.
Sihang Wang, Bin Yuan, Caihong Wu, Chaomin Wang, Tiange Li, Xianjun He, Yibo Huangfu, Jipeng Qi, Xiao-Bing Li, Qing'e Sha, Manni Zhu, Shengrong Lou, Hongli Wang, Thomas Karl, Martin Graus, Zibing Yuan, and Min Shao
Atmos. Chem. Phys., 22, 9703–9720, https://doi.org/10.5194/acp-22-9703-2022, https://doi.org/10.5194/acp-22-9703-2022, 2022
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Volatile organic compound (VOC) emissions from vehicles are measured using online mass spectrometers. Differences between gasoline and diesel vehicles are observed with higher emission factors of most oxygenated VOCs (OVOCs) and heavier aromatics from diesel vehicles. A higher aromatics / toluene ratio could provide good indicators to distinguish emissions from both vehicle types. We show that OVOCs account for significant contributions to VOC emissions from vehicles, especially diesel vehicles.
Wenjie Wang, David D. Parrish, Siwen Wang, Fengxia Bao, Ruijing Ni, Xin Li, Suding Yang, Hongli Wang, Yafang Cheng, and Hang Su
Atmos. Chem. Phys., 22, 8935–8949, https://doi.org/10.5194/acp-22-8935-2022, https://doi.org/10.5194/acp-22-8935-2022, 2022
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Tropospheric ozone is an air pollutant that is detrimental to human health, vegetation and ecosystem productivity. A comprehensive characterisation of the spatial and temporal distribution of tropospheric ozone is critical to our understanding of these issues. Here we summarise this distribution over China from the available observational records to the extent possible. This study provides insights into efficient future ozone control strategies in China.
Shijie Cui, Dan Dan Huang, Yangzhou Wu, Junfeng Wang, Fuzhen Shen, Jiukun Xian, Yunjiang Zhang, Hongli Wang, Cheng Huang, Hong Liao, and Xinlei Ge
Atmos. Chem. Phys., 22, 8073–8096, https://doi.org/10.5194/acp-22-8073-2022, https://doi.org/10.5194/acp-22-8073-2022, 2022
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Refractory black carbon (rBC) aerosols are important to air quality and climate change. rBC can mix with many other species, which can significantly change its properties and impacts. We used a specific set of techniques to exclusively characterize rBC-containing (rBCc) particles in Shanghai. We elucidated their composition, sources and size distributions and factors that affect their properties. Our findings are very valuable for advancing the understanding of BC and controlling BC pollution.
Xuefei Ma, Zhaofeng Tan, Keding Lu, Xinping Yang, Xiaorui Chen, Haichao Wang, Shiyi Chen, Xin Fang, Shule Li, Xin Li, Jingwei Liu, Ying Liu, Shengrong Lou, Wanyi Qiu, Hongli Wang, Limin Zeng, and Yuanhang Zhang
Atmos. Chem. Phys., 22, 7005–7028, https://doi.org/10.5194/acp-22-7005-2022, https://doi.org/10.5194/acp-22-7005-2022, 2022
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This paper presents the first OH and HO2 radical observations made in the Yangtze River Delta in China, and strong oxidation capacity is discovered based on direct measurements. The impacts of new OH regeneration mechanisms, monoterpene oxidation, and HO2 uptake processes are examined and discussed. The sources and the factors to sustain such strong oxidation are the key to understanding the ozone pollution formed in this area.
Haoran Zhang, Nan Li, Keqin Tang, Hong Liao, Chong Shi, Cheng Huang, Hongli Wang, Song Guo, Min Hu, Xinlei Ge, Mindong Chen, Zhenxin Liu, Huan Yu, and Jianlin Hu
Atmos. Chem. Phys., 22, 5495–5514, https://doi.org/10.5194/acp-22-5495-2022, https://doi.org/10.5194/acp-22-5495-2022, 2022
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We developed a new algorithm with low economic/technique costs to identify primary and secondary components of PM2.5. Our model was shown to be reliable by comparison with different observation datasets. We systematically explored the patterns and changes in the secondary PM2.5 pollution in China at large spatial and time scales. We believe that this method is a promising tool for efficiently estimating primary and secondary PM2.5, and has huge potential for future PM mitigation.
Han Zang, Yue Zhao, Juntao Huo, Qianbiao Zhao, Qingyan Fu, Yusen Duan, Jingyuan Shao, Cheng Huang, Jingyu An, Likun Xue, Ziyue Li, Chenxi Li, and Huayun Xiao
Atmos. Chem. Phys., 22, 4355–4374, https://doi.org/10.5194/acp-22-4355-2022, https://doi.org/10.5194/acp-22-4355-2022, 2022
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Particulate nitrate plays an important role in wintertime haze pollution in eastern China, yet quantitative constraints on detailed nitrate formation mechanisms remain limited. Here we quantified the contributions of the heterogeneous N2O5 hydrolysis (66 %) and gas-phase OH + NO2 reaction (32 %) to nitrate formation in this region and identified the atmospheric oxidation capacity (i.e., availability of O3 and OH radicals) as the driving factor of nitrate formation from both processes.
Haichao Wang, Chao Peng, Xuan Wang, Shengrong Lou, Keding Lu, Guicheng Gan, Xiaohong Jia, Xiaorui Chen, Jun Chen, Hongli Wang, Shaojia Fan, Xinming Wang, and Mingjin Tang
Atmos. Chem. Phys., 22, 1845–1859, https://doi.org/10.5194/acp-22-1845-2022, https://doi.org/10.5194/acp-22-1845-2022, 2022
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Via combining laboratory and modeling work, we found that heterogeneous reaction of N2O5 with saline mineral dust aerosol could be an important source of tropospheric ClNO2 in inland regions.
Brix Raphael Go, Yan Lyu, Yan Ji, Yong Jie Li, Dan Dan Huang, Xue Li, Theodora Nah, Chun Ho Lam, and Chak K. Chan
Atmos. Chem. Phys., 22, 273–293, https://doi.org/10.5194/acp-22-273-2022, https://doi.org/10.5194/acp-22-273-2022, 2022
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Biomass burning (BB) is a global phenomenon that releases large quantities of pollutants such as phenols and aromatic carbonyls into the atmosphere. These compounds can form secondary organic aerosols (SOAs) which play an important role in the Earth’s energy budget. In this work, we demonstrated that the direct irradiation of vanillin (VL) could generate aqueous SOA (aqSOA) such as oligomers. In the presence of nitrate, VL photo-oxidation can also form nitrated compounds.
Elyse A. Pennington, Karl M. Seltzer, Benjamin N. Murphy, Momei Qin, John H. Seinfeld, and Havala O. T. Pye
Atmos. Chem. Phys., 21, 18247–18261, https://doi.org/10.5194/acp-21-18247-2021, https://doi.org/10.5194/acp-21-18247-2021, 2021
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Volatile chemical products (VCPs) are commonly used consumer and industrial items that contribute to the formation of atmospheric aerosol. We implemented the emissions and chemistry of VCPs in a regional-scale model and compared predictions with measurements made in Los Angeles. Our results reduced model bias and suggest that VCPs may contribute up to half of anthropogenic secondary organic aerosol in Los Angeles and are an important source of human-influenced particular matter in urban areas.
Shijie Liu, Dandan Huang, Yiqian Wang, Si Zhang, Xiaodi Liu, Can Wu, Wei Du, and Gehui Wang
Atmos. Chem. Phys., 21, 17759–17773, https://doi.org/10.5194/acp-21-17759-2021, https://doi.org/10.5194/acp-21-17759-2021, 2021
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A series of chamber experiments was performed to probe the individual and common effects of NH3 and NOx on toluene secondary organic aerosol (SOA) formation through OH photooxidation. The synergetic effects of NH3 and NOx on the toluene SOA concentration and optical absorption were observed. The higher-volatility products formed in the presence of NOx could precipitate into the particle phase when NH3 was added. The formation pathways of N-containing OAs through NOx or NH3 are also discussed.
Yuliang Liu, Wei Nie, Yuanyuan Li, Dafeng Ge, Chong Liu, Zhengning Xu, Liangduo Chen, Tianyi Wang, Lei Wang, Peng Sun, Ximeng Qi, Jiaping Wang, Zheng Xu, Jian Yuan, Chao Yan, Yanjun Zhang, Dandan Huang, Zhe Wang, Neil M. Donahue, Douglas Worsnop, Xuguang Chi, Mikael Ehn, and Aijun Ding
Atmos. Chem. Phys., 21, 14789–14814, https://doi.org/10.5194/acp-21-14789-2021, https://doi.org/10.5194/acp-21-14789-2021, 2021
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Oxygenated organic molecules (OOMs) are crucial intermediates linking volatile organic compounds to secondary organic aerosols. Using nitrate time-of-flight chemical ionization mass spectrometry in eastern China, we performed positive matrix factorization (PMF) on binned OOM mass spectra. We reconstructed over 1000 molecules from 14 derived PMF factors and identified about 72 % of the observed OOMs as organic nitrates, highlighting the decisive role of NOx in OOM formation in populated areas.
Xiaotong Wang, Wen Yi, Zhaofeng Lv, Fanyuan Deng, Songxin Zheng, Hailian Xu, Junchao Zhao, Huan Liu, and Kebin He
Atmos. Chem. Phys., 21, 13835–13853, https://doi.org/10.5194/acp-21-13835-2021, https://doi.org/10.5194/acp-21-13835-2021, 2021
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This study updates our previous Ship Emission Inventory Model to version 2.0 (SEIM v2.0) and develops high-spatiotemporal ship emission inventories of China’s inland rivers and a 200 nautical mile coastal zone in 2016–2019. The 4-year consecutive daily ship emissions and emission structure changes are analyzed from the national to port levels. The results of this study can provide high-quality datasets for air quality modeling and observation experiment verifications.
Runlong Cai, Yihao Li, Yohann Clément, Dandan Li, Clément Dubois, Marlène Fabre, Laurence Besson, Sebastien Perrier, Christian George, Mikael Ehn, Cheng Huang, Ping Yi, Yingge Ma, and Matthieu Riva
Atmos. Meas. Tech., 14, 2377–2387, https://doi.org/10.5194/amt-14-2377-2021, https://doi.org/10.5194/amt-14-2377-2021, 2021
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Orbitool is an open-source software tool, mainly coded in Python, with a graphical user interface (GUI), specifically developed to facilitate the analysis of online Orbitrap mass spectrometric data. It is notably optimized for long-term atmospheric measurements and laboratory studies.
Jingyu An, Yiwei Huang, Cheng Huang, Xin Wang, Rusha Yan, Qian Wang, Hongli Wang, Sheng'ao Jing, Yan Zhang, Yiming Liu, Yuan Chen, Chang Xu, Liping Qiao, Min Zhou, Shuhui Zhu, Qingyao Hu, Jun Lu, and Changhong Chen
Atmos. Chem. Phys., 21, 2003–2025, https://doi.org/10.5194/acp-21-2003-2021, https://doi.org/10.5194/acp-21-2003-2021, 2021
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This study established a 4 km × 4 km anthropogenic emission inventory in the Yangtze River Delta region, China, for 2017 based on locally measured emission factors and source profiles. There are high-intensity NOx and NMVOC species emissions in the eastern areas of the region. Toluene, 1,2,4-trimethylbenzene, m,p-xylene, propylene, ethylene, o-xylene, and OVOCs from industry and mobile sources have the highest comprehensive potentials for ozone and secondary organic aerosol formation.
Yarong Peng, Hongli Wang, Qian Wang, Shengao Jing, Jingyu An, Yaqin Gao, Cheng Huang, Rusha Yan, Haixia Dai, Tiantao Cheng, Qiang Zhang, Meng Li, Li Li, Shengrong Lou, Shikang Tao, Qinyao Hu, Jun Lu, and Changhong Chen
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1108, https://doi.org/10.5194/acp-2020-1108, 2020
Revised manuscript not accepted
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The evolution of NMHCs emissions and the effectiveness of control measures were investigated based on long term measurements in a megacity of China. Discrepancies between measurements and emission inventories emphasized the need for emission validation both in speciation and sources. Varied trends of NMHCs speciation and sources suggested the differential effect of the past control measures, which provided new insights into future clean air policies in polluted region including China.
Caihong Wu, Chaomin Wang, Sihang Wang, Wenjie Wang, Bin Yuan, Jipeng Qi, Baolin Wang, Hongli Wang, Chen Wang, Wei Song, Xinming Wang, Weiwei Hu, Shengrong Lou, Chenshuo Ye, Yuwen Peng, Zelong Wang, Yibo Huangfu, Yan Xie, Manni Zhu, Junyu Zheng, Xuemei Wang, Bin Jiang, Zhanyi Zhang, and Min Shao
Atmos. Chem. Phys., 20, 14769–14785, https://doi.org/10.5194/acp-20-14769-2020, https://doi.org/10.5194/acp-20-14769-2020, 2020
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Based on measurements from an online mass spectrometer, we quantify volatile organic compound (VOC) concentrations from numerous ions of the mass spectrometer, using information from laboratory-obtained calibration results. We find that most VOC concentrations are from oxygenated VOCs (OVOCs). We further show that these OVOCs also contribute significantly to OH reactivity. Our results suggest the important role of OVOCs in VOC emissions and chemistry in urban air.
Rui Li, Qiongqiong Wang, Xiao He, Shuhui Zhu, Kun Zhang, Yusen Duan, Qingyan Fu, Liping Qiao, Yangjun Wang, Ling Huang, Li Li, and Jian Zhen Yu
Atmos. Chem. Phys., 20, 12047–12061, https://doi.org/10.5194/acp-20-12047-2020, https://doi.org/10.5194/acp-20-12047-2020, 2020
Cited articles
An, J., Huang, Y., Huang, C., Wang, X., Yan, R., Wang, Q., Wang, H., Jing, S., Zhang, Y., Liu, Y., Chen, Y., Xu, C., Qiao, L., Zhou, M., Zhu, S., Hu, Q., Lu, J., and Chen, C.: Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China, Atmos. Chem. Phys., 21, 2003–2025, https://doi.org/10.5194/acp-21-2003-2021, 2021.
An, J., Huang, C., Huang, D., Qin, M., Yan, R., Qiao, L., Zhou, M., Li, Y., Zhu, S., Wang, Q., and Wang, H.: Sources of organic aerosols in east China: A modeling study with high-resolution intermediate-volatility and semi-volatile organic compound emissions, figshare [data set], https://doi.org/10.6084/m9.figshare.19536082.v1, 2022.
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, 2006.
Cai, S., Zhu, L., Wang, S., Wisthaler, A., Li, Q., Jiang, J., and Hao, J.:
Time-resolved intermediate-volatility and semivolatile organic compound
emissions from household coal combustion in northern China, Environ. Sci.
Technol., 53, 9269–9278, 2019.
Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D., Alfarra, M.
R., Zhang, Q., Onasch, T. B., Drewnick, F., Coe, H., Middlebrook, A., Delia,
A., Williams, L. R., Trimborn, A. M., Northway, M. J., DeCarlo, P. F., Kolb,
C. E., Davidovits, P., and Worsnop, D. R.: Chemical and microphysical
characterization of ambient aerosols with the aerodyne aerosol mass
spectrometer, Mass Spectrom. Rev., 26, 185–222, 2007.
Canonaco, F., Crippa, M., Slowik, J. G., Baltensperger, U., and Prévôt, A. S. H.: SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data, Atmos. Meas. Tech., 6, 3649–3661, https://doi.org/10.5194/amt-6-3649-2013, 2013.
Chang, X., Zhao, B., Zheng, H., Wang, S., Cai, S., Guo, F., Gui, P., Huang,
G., Wu, D., Han, L., Xing, J., Man, H., Hu, R., Liang, C., Xu, Q., Qiu, X.,
Ding, D., Liu, K., Han, R., Robinson, A. L., and Donahue, N. M.:
Full-volatility emission framework corrects missing and underestimated
secondary organic aerosol sources, One Earth, 5, 403–412, 2022.
Chen, W., Ye, Y., Hu, W., Zhou, H., Pan, T., Wang, Y., Song, W., Song, Q.,
Ye, C., Wang, C., Wang, B., Huang, S., Yuan, B., Zhu, M., Lian, X., Zhang,
G., Bi, X., Jiang, F., Liu, J., Canonaco, F., Prevot, A. S. H., Shao, M.,
and Wang, X.: Real-time characterization of aerosol compositions, sources,
and aging processes in Guangzhou during PRIDE-GBA 2018 campaign, J. Geophys.
Res.-Atmos., 126, e2021JD035114, https://doi.org/10.1029/2021JD035114, 2021.
Crippa, M., Canonaco, F., Lanz, V. A., Äijälä, M., Allan, J. D., Carbone, S., Capes, G., Ceburnis, D., Dall'Osto, M., Day, D. A., DeCarlo, P. F., Ehn, M., Eriksson, A., Freney, E., Hildebrandt Ruiz, L., Hillamo, R., Jimenez, J. L., Junninen, H., Kiendler-Scharr, A., Kortelainen, A.-M., Kulmala, M., Laaksonen, A., Mensah, A. A., Mohr, C., Nemitz, E., O'Dowd, C., Ovadnevaite, J., Pandis, S. N., Petäjä, T., Poulain, L., Saarikoski, S., Sellegri, K., Swietlicki, E., Tiitta, P., Worsnop, D. R., Baltensperger, U., and Prévôt, A. S. H.: Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach, Atmos. Chem. Phys., 14, 6159–6176, https://doi.org/10.5194/acp-14-6159-2014, 2014.
Cross, E. S., Hunter, J. F., Carrasquillo, A. J., Franklin, J. P., Herndon, S. C., Jayne, J. T., Worsnop, D. R., Miake-Lye, R. C., and Kroll, J. H.: Online measurements of the emissions of intermediate-volatility and semi-volatile organic compounds from aircraft, Atmos. Chem. Phys., 13, 7845–7858, https://doi.org/10.5194/acp-13-7845-2013, 2013.
Decker, Z. C. J., Robinson, M. A., Barsanti, K. C., Bourgeois, I., Coggon, M. M., DiGangi, J. P., Diskin, G. S., Flocke, F. M., Franchin, A., Fredrickson, C. D., Gkatzelis, G. I., Hall, S. R., Halliday, H., Holmes, C. D., Huey, L. G., Lee, Y. R., Lindaas, J., Middlebrook, A. M., Montzka, D. D., Moore, R., Neuman, J. A., Nowak, J. B., Palm, B. B., Peischl, J., Piel, F., Rickly, P. S., Rollins, A. W., Ryerson, T. B., Schwantes, R. H., Sekimoto, K., Thornhill, L., Thornton, J. A., Tyndall, G. S., Ullmann, K., Van Rooy, P., Veres, P. R., Warneke, C., Washenfelder, R. A., Weinheimer, A. J., Wiggins, E., Winstead, E., Wisthaler, A., Womack, C., and Brown, S. S.: Nighttime and daytime dark oxidation chemistry in wildfire plumes: an observation and model analysis of FIREX-AQ aircraft data, Atmos. Chem. Phys., 21, 16293–16317, https://doi.org/10.5194/acp-21-16293-2021, 2021.
Donahue, N. M., Robinson, A. L., Stanier, C. O., and Pandis, S. N.: Coupled
Partitioning, Dilution, and Chemical Aging of Semivolatile Organics,
Environ. Sci. Technol., 40, 2635–2643, 2006.
Donahue, N. M., Robinson, A. L., and Pandis, S. N.: Atmospheric organic
particulate matter: From smoke to secondary organic aerosol, Atmos.
Environ., 43, 94–106, 2009.
Drozd, G. T., Zhao, Y., Saliba, G., Frodin, B., Maddox, C., Oliver Chang,
M.-C., Maldonado, H., Sardar, S., Weber, R. J., Robinson, A. L., and
Goldstein, A. H.: Detailed speciation of intermediate volatility and
semivolatile organic compound emissions from gasoline vehicles: Effects of
cold-starts and implications for secondary organic aerosol formation,
Environ. Sci. Technol., 53, 1706–1714, 2019.
Drozd, G. T., Weber, R. J., and Goldstein, A. H.: Highly resolved
composition during diesel evaporation with modeled ozone and secondary
aerosol formation: Insights into pollutant formation from evaporative
intermediate volatility organic compound sources, Environ. Sci. Technol.,
55, 5742–5751, 2021.
Emery, C., Tai, E., and Yarwood, G.: Enhanced meteorological modeling and
performance evaluation for two Texas ozone episodes, prepared for the Texas
natural resource conservation commission, by ENVIRON International
Corporation, 2001.
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, https://doi.org/10.5194/gmd-3-43-2010, 2010.
Gentner, D. R., Isaacman, G., Worton, D. R., Chan, A. W. H., Dallmann, T.
R., Davis, L., Liu, S., Day, D. A., Russell, L. M., Wilson, K. R., Weber,
R., Guha, A., Harley, R. A., and Goldstein, A. H.: Elucidating secondary
organic aerosol from diesel and gasoline vehicles through detailed
characterization of organic carbon emissions, P. Natl. Acad. Sci. USA, 109,
18318–18323, 2012.
Guo, J., Zhou, S., Cai, M., Zhao, J., Song, W., Zhao, W., Hu, W., Sun, Y., He, Y., Yang, C., Xu, X., Zhang, Z., Cheng, P., Fan, Q., Hang, J., Fan, S., Wang, X., and Wang, X.: Characterization of submicron particles by time-of-flight aerosol chemical speciation monitor (ToF-ACSM) during wintertime: aerosol composition, sources, and chemical processes in Guangzhou, China, Atmos. Chem. Phys., 20, 7595–7615, https://doi.org/10.5194/acp-20-7595-2020, 2020.
Hallquist, M., Wenger, J. C., Baltensperger, U., Rudich, Y., Simpson, D., Claeys, M., Dommen, J., Donahue, N. M., George, C., Goldstein, A. H., Hamilton, J. F., Herrmann, H., Hoffmann, T., Iinuma, Y., Jang, M., Jenkin, M. E., Jimenez, J. L., Kiendler-Scharr, A., Maenhaut, W., McFiggans, G., Mentel, Th. F., Monod, A., Prévôt, A. S. H., Seinfeld, J. H., Surratt, J. D., Szmigielski, R., and Wildt, J.: The formation, properties and impact of secondary organic aerosol: current and emerging issues, Atmos. Chem. Phys., 9, 5155–5236, https://doi.org/10.5194/acp-9-5155-2009, 2009.
Hayes, P. L., Ortega, A. M., Cubison, M. J., Froyd, K. D., Zhao, Y., Cliff,
S. S., Hu, W. W., Toohey, D. W., Flynn, J. H., Lefer, B. L., Grossberg, N.,
Alvarez, S., Rappenglück, B., Taylor, J. W., Allan, J. D., Holloway, J.
S., Gilman, J. B., Kuster, W. C., de Gouw, J. A., Massoli, P., Zhang, X.,
Liu, J., Weber, R. J., Corrigan, A. L., Russell, L. M., Isaacman, G.,
Worton, D. R., Kreisberg, N. M., Goldstein, A. H., Thalman, R., Waxman, E.
M., Volkamer, R., Lin, Y. H., Surratt, J. D., Kleindienst, T. E., Offenberg,
J. H., Dusanter, S., Griffith, S., Stevens, P. S., Brioude, J., Angevine, W.
M., and Jimenez, J. L.: Organic aerosol composition and sources in Pasadena,
California, during the 2010 CalNex campaign, J. Geophys. Res.-Atmos., 118,
9233–9257, 2013.
Huang, C., Hu, Q., Li, Y., Tian, J., Ma, Y., Zhao, Y., Feng, J., An, J.,
Qiao, L., Wang, H., Jing, S., Huang, D., Lou, S., Zhou, M., Zhu, S., Tao,
S., and Li, L.: Intermediate volatility organic compound emissions from a
large cargo vessel operated under real-world conditions, Environ. Sci.
Technol., 52, 12934–12942, 2018.
Huang, D., Zhu, S., An, J., Wang, Q., Qiao, L., Zhou, M., He, X., Ma, Y.,
Sun, Y., Huang, C., Yu, J., and Zhang, Q.: Comparative assessment of cooking
emission contributions to urban organic aerosol using online molecular
tracers and aerosol mass spectrometry measurements, Environ. Sci. Technol.,
55, 14526–14535, 2021.
Huang, L., Wang, Q., Wang, Y., Emery, C., Zhu, A., Zhu, Y., Yin, S.,
Yarwood, G., Zhang, K., and Li, L.: Simulation of secondary organic aerosol
over the Yangtze River Delta region: The impacts from the emissions of
intermediate volatility organic compounds and the SOA modeling framework,
Atmos. Environ., 246, 118079, https://doi.org/10.1016/j.atmosenv.2020.118079, 2021.
Huang, R. J., Zhang, Y., Bozzetti, C., Ho, K., Cao, J., Han, Y.,
Daellenbach, K. R., Slowik, J. G., Platt, S. M., Canonaco, F., Zotter, P.,
Wolf, R., Pieber, S. M., Bruns, E. A., Crippa, M., Ciarelli, G.,
Piazzalunga, A., Schwikowski, M., Abbaszade, G., Schnelle-Kreis, J.,
Zimmermann, R., An, Z., Szidat, S., Baltensperger, U., El Haddad, I., and
Prévôt, A. S. H.: High secondary aerosol contribution to particulate
pollution during haze events in China, Nature, 514, 218–222, 2014.
Huffman, J., Docherty, K., Mohr, C., Cubison, M., Ulbrich, I., Ziemann, P.,
Onasch, T., and Jimenez, J.: Chemically-resolved volatility measurements of
organic aerosol from different sources, Environ. Sci. Technol., 43,
5351–5357, 2009.
Jathar, S. H., Gordon, T. D., Hennigan, C. J., Pye, H. O. T., Pouliot, G.,
Adams, P. J., Donahue, N. M., and Robinson, A. L.: Unspeciated organic
emissions from combustion sources and their influence on the secondary
organic aerosol budget in the United States, P. Natl. Acad. Sci. USA, 111,
10473–10478, 2014.
Jathar, S. H., Woody, M., Pye, H. O. T., Baker, K. R., and Robinson, A. L.: Chemical transport model simulations of organic aerosol in southern California: model evaluation and gasoline and diesel source contributions, Atmos. Chem. Phys., 17, 4305–4318, https://doi.org/10.5194/acp-17-4305-2017, 2017.
Kim, D., Cho, C., Jeong, S., Lee, S., Nault, B. A., Campuzano-Jost, P., Day, D. A., Schroder, J. C., Jimenez, J. L., Volkamer, R., Blake, D. R., Wisthaler, A., Fried, A., DiGangi, J. P., Diskin, G. S., Pusede, S. E., Hall, S. R., Ullmann, K., Huey, L. G., Tanner, D. J., Dibb, J., Knote, C. J., and Min, K.-E.: Field observational constraints on the controllers in glyoxal (CHOCHO) reactive uptake to aerosol, Atmos. Chem. Phys., 22, 805–821, https://doi.org/10.5194/acp-22-805-2022, 2022.
Kim, Y., Couvidat, F., Sartelet, K., and Seigneur, C.: Comparison of
different gas-phase mechanisms and aerosol modules for simulating
particulate matter formation, J. Air Waste Manage., 61, 1218–1226, 2011.
Koo, B., Knipping, E., and Yarwood, G.: 1.5-Dimensional volatility basis set
approach for modeling organic aerosol in CAMx and CMAQ, Atmos. Environ., 95,
158–164, 2014.
Koss, A. R., Sekimoto, K., Gilman, J. B., Selimovic, V., Coggon, M. M., Zarzana, K. J., Yuan, B., Lerner, B. M., Brown, S. S., Jimenez, J. L., Krechmer, J., Roberts, J. M., Warneke, C., Yokelson, R. J., and de Gouw, J.: Non-methane organic gas emissions from biomass burning: identification, quantification, and emission factors from PTR-ToF during the FIREX 2016 laboratory experiment, Atmos. Chem. Phys., 18, 3299–3319, https://doi.org/10.5194/acp-18-3299-2018, 2018.
Li, J., Han, Z., Li, J., Liu, R., Wu, Y., Liang, L., and Zhang, R.: The
formation and evolution of secondary organic aerosol during haze events in
Beijing in wintertime, Sci. Total Environ., 703, 134937, https://doi.org/10.1016/j.scitotenv.2019.134937, 2020.
Li, J., Cao, L., Gao, W., He, L., Yan, Y., He, Y., Pan, Y., Ji, D., Liu, Z., and Wang, Y.: Seasonal variations in the highly time-resolved aerosol composition, sources and chemical processes of background submicron particles in the North China Plain, Atmos. Chem. Phys., 21, 4521–4539, https://doi.org/10.5194/acp-21-4521-2021, 2021.
Li, J., Han, Z., Wu, J., Tao, J., Li, J., Sun, Y., Liang, L., Liang, M., and
Wang, Q.: Secondary organic aerosol formation and source contributions over
east China in summertime, Environ. Pollut., 306, 119383, https://doi.org/10.1016/j.envpol.2022.119383, 2022.
Li, M., Zhang, Q., Kurokawa, J.-I., Woo, J.-H., He, K., Lu, Z., Ohara, T., Song, Y., Streets, D. G., Carmichael, G. R., Cheng, Y., Hong, C., Huo, H., Jiang, X., Kang, S., Liu, F., Su, H., and Zheng, B.: MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP, Atmos. Chem. Phys., 17, 935–963, https://doi.org/10.5194/acp-17-935-2017, 2017.
Li, Y., Ren, B., Qiao, Z., Zhu, J., Wang, H., Zhou, M., Qiao, L., Lou, S.,
Jing, S., Huang, C., Tao, S., Rao, P., and Li, J.: Characteristics of
atmospheric intermediate volatility organic compounds (IVOCs) in winter and
summer under different air pollution levels, Atmos. Environ., 210, 58–65,
2019.
Li, Y. J., Sun, Y. L., Zhang, Q., Li, X., Li, M., Zhou, Z., and Chan, C. K.:
Real-time chemical characterization of atmospheric particulate matter in
China: A review, Atmos. Environ., 158, 270–304, 2017.
Liggio, J., Li, S., Hayden, K., Taha, Y. M., Stroud, C., Darlington, A.,
Drollette, B. D., Gordon, M., Lee, P., Liu, P., Leithead, A., Moussa, S. G.,
Wang, D., Brien, J. O., Mittermeier, R. L., Osthoff, H. D., Makar, P. A.,
Zhang, J., Brook, J. R., Lu, G., Staebler, R. M., Han, Y., Travis, W.,
Plata, D. L., and Gentner, D. R.: Oil sands operations as a large source of
secondary organic aerosols, Nature, 534, 1–16, 2016.
Ling, Z., Wu, L., Wang, Y., Shao, M., Wang, X., and Huang, W.: Roles of
semivolatile and intermediate-volatility organic compounds in secondary
organic aerosol formation and its implication: A review, J. Environ. Sci.,
114, 259–285, 2022.
Liu, H., Man, H., Cui, H., Wang, Y., Deng, F., Wang, Y., Yang, X., Xiao, Q., Zhang, Q., Ding, Y., and He, K.: An updated emission inventory of vehicular VOCs and IVOCs in China, Atmos. Chem. Phys., 17, 12709–12724, https://doi.org/10.5194/acp-17-12709-2017, 2017.
Liu, H., Meng, Z., Lv, Z., Wang, X., Deng, F., Liu, Y., Zhang, Y., Shi, M.,
Zhang, Q., and He, K.: Emissions and health impacts from global shipping
embodied in US–China bilateral trade, Nat. Sustain., 2, 1027–1033, 2019.
Liu, Y., Li, L., An, J., Huang, L., Yan, R., Huang, C., Wang, H., Wang, Q.,
Wang, M., and Zhang, W.: Estimation of biogenic VOC emissions and its impact
on ozone formation over the Yangtze River Delta region, China, Atmos.
Environ., 186, 113–128, 2018.
Liu, Z., Gao, W., Yu, Y., Hu, B., Xin, J., Sun, Y., Wang, L., Wang, G., Bi, X., Zhang, G., Xu, H., Cong, Z., He, J., Xu, J., and Wang, Y.: Characteristics of PM2.5 mass concentrations and chemical species in urban and background areas of China: emerging results from the CARE-China network, Atmos. Chem. Phys., 18, 8849–8871, https://doi.org/10.5194/acp-18-8849-2018, 2018.
Louvaris, E. E., Florou, K., Karnezi, E., Papanastasiou, D. K., Gkatzelis,
G. I., and Pandis, S. N.: Volatility of source apportioned wintertime
organic aerosol in the city of Athens, Atmos. Environ., 158, 138–147, 2017.
Lu, Q., Murphy, B. N., Qin, M., Adams, P. J., Zhao, Y., Pye, H. O. T., Efstathiou, C., Allen, C., and Robinson, A. L.: Simulation of organic aerosol formation during the CalNex study: updated mobile emissions and secondary organic aerosol parameterization for intermediate-volatility organic compounds, Atmos. Chem. Phys., 20, 4313–4332, https://doi.org/10.5194/acp-20-4313-2020, 2020.
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, 2013.
McDonald, B. C., de Gouw, J. A., Gilman, J. B., Jathar, S. H., Akherati, A.,
Cappa, C. D., Jimenez, J. L., Lee-Taylor, J., Hayes, P. L., McKeen, S. A.,
Cui, Y. Y., Kim, S., Gentner, D. R., Isaacman-VanWertz, G., Goldstein, A.
H., Harley, R. A., Frost, G. J., Roberts, J. M., Ryerson, T. B., and
Trainer, M.: Volatile chemical products emerging as largest petrochemical
source of urban organic emissions, Science, 359, 760–764, 2018.
Miao, R., Chen, Q., Shrivastava, M., Chen, Y., Zhang, L., Hu, J., Zheng, Y., and Liao, K.: Process-based and observation-constrained SOA simulations in China: the role of semivolatile and intermediate-volatility organic compounds and OH levels, Atmos. Chem. Phys., 21, 16183–16201, https://doi.org/10.5194/acp-21-16183-2021, 2021.
Ming, L., Jin, L., Li, J., Fu, P., Yang, W., Liu, D., Zhang, G., Wang, Z.,
and Li, X.: PM2.5 in the Yangtze River Delta, China: Chemical
compositions, seasonal variations, and regional pollution events, Environ.
Pollut., 223, 200–212, 2017.
Morino, Y., Chatani, S., Tanabe, K., Fujitani, Y., Morikawa, T., Takahashi,
K., Sato, K., and Sugata, S.: Contributions of condensable particulate
matter to atmospheric organic aerosol over Japan, Environ. Sci. Technol.,
52, 8456–8466, 2018.
Morino, Y., Chatani, S., Fujitani, Y., Tanabe, K., Murphy, B. N., Jathar, S.
H., Takahashi, K., Sato, K., Kumagai, K., and Saito, S.: Emissions of
condensable organic aerosols from stationary combustion sources over Japan,
Atmos. Environ., 289, 119319, https://doi.org/10.1016/j.atmosenv.2022.119319, 2022.
Murphy, B. N., Woody, M. C., Jimenez, J. L., Carlton, A. M. G., Hayes, P. L., Liu, S., Ng, N. L., Russell, L. M., Setyan, A., Xu, L., Young, J., Zaveri, R. A., Zhang, Q., and Pye, H. O. T.: Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning, Atmos. Chem. Phys., 17, 11107–11133, https://doi.org/10.5194/acp-17-11107-2017, 2017.
Nault, B. A., Jo, D. S., McDonald, B. C., Campuzano-Jost, P., Day, D. A., Hu, W., Schroder, J. C., Allan, J., Blake, D. R., Canagaratna, M. R., Coe, H., Coggon, M. M., DeCarlo, P. F., Diskin, G. S., Dunmore, R., Flocke, F., Fried, A., Gilman, J. B., Gkatzelis, G., Hamilton, J. F., Hanisco, T. F., Hayes, P. L., Henze, D. K., Hodzic, A., Hopkins, J., Hu, M., Huey, L. G., Jobson, B. T., Kuster, W. C., Lewis, A., Li, M., Liao, J., Nawaz, M. O., Pollack, I. B., Peischl, J., Rappenglück, B., Reeves, C. E., Richter, D., Roberts, J. M., Ryerson, T. B., Shao, M., Sommers, J. M., Walega, J., Warneke, C., Weibring, P., Wolfe, G. M., Young, D. E., Yuan, B., Zhang, Q., de Gouw, J. A., and Jimenez, J. L.: Secondary organic aerosols from anthropogenic volatile organic compounds contribute substantially to air pollution mortality, Atmos. Chem. Phys., 21, 11201–11224, https://doi.org/10.5194/acp-21-11201-2021, 2021.
Presto, A. A., Miracolo, M. A., Kroll, J. H., Worsnop, D. R., Robinson, A.
L., and Donahue, N. M.: Intermediate-volatility organic compounds: A
potential source of ambient oxidized organic aerosol, Environ. Sci.
Technol., 43, 4744–4749, 2009.
Presto, A. A., Nguyen, N. T., Ranjan, M., Reeder, A. J., Lipsky, E. M.,
Hennigan, C. J., Miracolo, M. A., Riemer, D. D., and Robinson, A. L.: Fine
particle and organic vapor emissions from staged tests of an in-use aircraft
engine, Atmos. Environ., 45, 3603–3612, 2011.
Pye, H. O. T. and Seinfeld, J. H.: A global perspective on aerosol from low-volatility organic compounds, Atmos. Chem. Phys., 10, 4377–4401, https://doi.org/10.5194/acp-10-4377-2010, 2010.
Qi, L., Liu, H., Shen, X., Fu, M., Huang, F., Man, H., Deng, F., Shaikh, A.
A., Wang, X., Dong, R., Song, C., and He, K.: Intermediate-volatility
organic compound emissions from nonroad construction machinery under
different operation modes, Environ. Sci. Technol., 53, 13832–13840, 2019.
Qi, L., Zhao, J., Li, Q., Su, S., Lai, Y., Deng, F., Man, H., Wang, X.,
Shen, X., Lin, Y., Ding, Y., and Liu, H.: Primary organic gas emissions from
gasoline vehicles in China: Factors, composition and trends, Environ.
Pollut., 290, 117984, https://doi.org/10.1016/j.envpol.2021.117984, 2021.
Qin, M., Hu, A., Mao, J., Li, X., Sheng, L., Sun, J., Li, J., Wang, X.,
Zhang, Y., and Hu, J.: PM2.5 and O3 relationships affected by the
atmospheric oxidizing capacity in the Yangtze River Delta, China, Sci. Total
Environ., 810, 152268, https://doi.org/10.1016/j.scitotenv.2021.152268, 2022.
Ren, B., Zhu, J., Tian, L., Wang, H., Huang, C., Jing, S., Lou, S., An, J.,
Lu, J., Rao, P., Fu, Q., Huo, J., and Li, Y.: An alternative
semi-quantitative GC/MS method to estimate levels of airborne intermediate
volatile organic compounds (IVOCs) in ambient air, Atmos. Environ., X6,
100075, https://doi.org/10.1016/j.aeaoa.2020.100075, 2020.
Robinson, A. L., Donahue, N. M., Shrivastava, M. K., Weitkamp, E. A., Sage,
A. M., Grieshop, A. P., Lane, T. E., Pierce, J. R., and Pandis, S. N.:
Rethinking organic aerosols: Semivolatile emissions and photochemical aging,
Science, 315, 1259–1262, 2007.
Shrivastava, M., Fast, J., Easter, R., Gustafson Jr., W. I., Zaveri, R. A., Jimenez, J. L., Saide, P., and Hodzic, A.: Modeling organic aerosols in a megacity: comparison of simple and complex representations of the volatility basis set approach, Atmos. Chem. Phys., 11, 6639–6662, https://doi.org/10.5194/acp-11-6639-2011, 2011.
Shrivastava, M. K., Cappa, C. D., Fan, J., Goldstein, A. H., Guenther, A.
B., Jimenez, J. L., Kuang, C., Laskin, A., Martin, S. T., Ng, N. L., Petaja,
T., Pierce, J. R., Rasch, P. J., Roldin, P., Seinfeld, J. H., Shilling, J.,
Smith, J. N., Thornton, J. A., Volkamer, R., Wang, J., Worsnop, D. R.,
Zaveri, R. A., Zelenyuk, A., and Zhang, Q.: Recent advances in understanding
secondary organic aerosol: Implications for global climate forcing, Rev.
Geophys., 55, 509–559, 2017.
Sun, Y., Jiang, Q., Wang, Z., Fu, P., Li, J., Yang, T., and Yin, Y.:
Investigation of the sources and evolution processes of severe haze
pollution in Beijing in January 2013, J. Geophys. Res.-Atmos., 119,
4380–4398, 2014.
Tang, J., Li, Y., Li, X., Jing, S., Huang, C., Zhu, J., Hu, Q., Wang, H.,
Lu, J., Lou, S., Rao, P., and Huang, D.: Intermediate volatile organic
compounds emissions from vehicles under real world conditions, Sci. Total
Environ., 788, 147795, https://doi.org/10.1016/j.scitotenv.2021.147795, 2021.
Tao, J., Zhang, L., Cao, J., and Zhang, R.: A review of current knowledge concerning PM2.5 chemical composition, aerosol optical properties and their relationships across China, Atmos. Chem. Phys., 17, 9485–9518, https://doi.org/10.5194/acp-17-9485-2017, 2017.
Tkacik, D. S., Presto, A. A., Donahue, N. M., and Robinson, A. L.: Secondary
organic aerosol formation from intermediate-volatility organic compounds:
Cyclic, linear, and branched alkanes, Environ. Sci. Technol., 46,
8773–8781, 2012.
Tsimpidi, A. P., Karydis, V. A., Zavala, M., Lei, W., Molina, L., Ulbrich, I. M., Jimenez, J. L., and Pandis, S. N.: Evaluation of the volatility basis-set approach for the simulation of organic aerosol formation in the Mexico City metropolitan area, Atmos. Chem. Phys., 10, 525–546, https://doi.org/10.5194/acp-10-525-2010, 2010.
Tsinghua University: Multiresolution
Emission Inventory for China (MEIC-2017), http://meicmodel.org, last access: 31 July 2021.
US EPA: Community Modeling and Analysis System (CMAQ, Version 5.3), https://cmascenter.org/cmaq/, last access: 21 July 2021a.
US EPA: The Sparse Matrix Operator Kernel Emissions (SMOKE), https://cmascenter.org/smoke, last access: 21 July 2021b.
US EPA: Final Report, SPECIATE Version 5.1, Database Development
Documentation, https://www.epa.gov/air-emissions-modeling/speciate-51-and-50-addendum-and-final-report,
last access: 8 August 2021c.
Woody, M. C., Baker, K. R., Hayes, P. L., Jimenez, J. L., Koo, B., and Pye, H. O. T.: Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS, Atmos. Chem. Phys., 16, 4081–4100, https://doi.org/10.5194/acp-16-4081-2016, 2016.
Wu, L., Wang, X., Lu, S., Shao, M., and Ling, Z.: Emission inventory of semi-volatile and intermediate-volatility organic compounds and their effects on secondary organic aerosol over the Pearl River Delta region, Atmos. Chem. Phys., 19, 8141–8161, https://doi.org/10.5194/acp-19-8141-2019, 2019.
Wu, L., Ling, Z., Liu, H., Shao, M., Lu, S., Wu, L., and Wang, X.: A gridded
emission inventory of semi-volatile and intermediate volatility organic
compounds in China, Sci. Total Environ., 761, 143295, https://doi.org/10.1016/j.scitotenv.2020.143295, 2021.
Xu, L., Guo, H., Boyd, C. M., Klein, M., Bougiatioti, A., Cerully, K. M.,
Hite, J. R., Isaacman-VanWertze, G., Kreisberg, N. M., Knote, C., Olson, K.,
Koss, A., Goldstein, A. H., Hering, S. V., de Gouw, J., Baumann, K., Lee,
S., Nenes, A., Weber, R. J., and Ng, N. L.: Effects of anthropogenic
emissions on aerosol formation from isoprene and monoterpenes in the
southeastern United States, P. Natl. Acad. Sci. USA, 112, 37–42, 2015.
Yang, W., Li, J., Wang, W., Li, J., Ge, M., Sun, Y., Chen, X., Ge, B., Tong,
S., Wang, Q., and Wang, Z.: Investigating secondary organic aerosol
formation pathways in China during 2014, Atmos. Environ., 213, 133–147,
2019.
Yao, T., Li, Y., Gao, J., Fung, J. C. H., Wang, S., Li, Y., Chan, C. K., and
Lau, A. K. H.: Source apportionment of secondary organic aerosols in the
Pearl River Delta region: Contribution from the oxidation of semi-volatile
and intermediate volatility primary organic aerosols, Atmos. Environ., 222,
117111, https://doi.org/10.1016/j.atmosenv.2019.117111, 2020.
Yu, K., Zhu, Q., Du, K., and Huang, X.-F.: Characterization of nighttime formation of particulate organic nitrates based on high-resolution aerosol mass spectrometry in an urban atmosphere in China, Atmos. Chem. Phys., 19, 5235–5249, https://doi.org/10.5194/acp-19-5235-2019, 2019.
Yuan, B., Shao, M., Lu, S., and Wang, B.: Source profiles of volatile
organic compounds associated with solvent use in Beijing, China, Atmos.
Environ., 44, 1919—-1926, 2010.
Zhang, H., Yee, L. D., Lee, B. H., Curtis, M. P., Worton, D. R.,
Isaacman-VanWertz, G., Offenberg, J. H., Lewandowski, M., Kleindienst, T.
E., Beaver, M. R., Holder, A. L., Lonneman, W. A., Docherty, K. S., Jaoui,
M., Pye, H. T. O., Hu, W., Day, D. A., Campuzano-Jost, P., Jimenez, J. L.,
Guo, H., Weber, R. J., de Gouw, J., Koss, A. R., Edgerton, E. S., Brune, W.,
Mohr, C., Lopez-Hilfiker, F. D., Lutz, A., Kreisberg, N. M., Spielman, S.
R., Hering, S. V., Wilson, K. R., Thornton, J. A., and Goldstein, A. H.:
Monoterpenes are the largest source of summertime organic aerosol in the
southeastern United States, P. Natl. Acad. Sci. USA, 115, 2038–2043, 2018.
Zhang, Q., Jimenez, J. L., Canagaratna, M. R., Allan, J. D., Coe, H.,
Ulbrich, I., Alfarra, M. R., Takami, A., Middlebrook, A. M., Sun, Y. L.,
Dzepina, K., Dunlea, E., Docherty, K., DeCarlo, P. F., Salcedo, D., Onasch,
T., Jayne, J. T., Miyoshi, T., Shimono, A., Hatakeyama, S., Takegawa, N.,
Kondo, Y., Schneider, J., Drewnick, F., Borrmann, S., Weimer, S., Demerjian,
K., Williams, P., Bower, K., Bahreini, R., Cottrell, L., Griffin, R. J.,
Rautiainen, J., Sun, J. Y., Zhang, Y. M., and Worsnop, D. R.: Ubiquity and
dominance of oxygenated species in organic aerosols in
anthropogenically-influenced Northern Hemisphere midlatitudes, Geophys. Res.
Lett., 34, L13801, https://doi.org/10.1029/2007GL029979, 2007.
Zhang, Q., Jimenez, J. L., Canagaratna, M. R., Ulbrich, I. M., Ng, N. L.,
Worsnop, D. R., and Sun, Y.: Understanding atmospheric organic aerosols via
factor analysis of aerosol mass spectrometry: a review, Anal. Bioanal.
Chem., 401, 3045–3067, 2011.
Zhang, Y., Vijayaraghavan, K., and Seigneur, C.: Evaluation of three probing
techniques in a three-dimensional air quality model, J. Geophys. Res.,
Atmos., 110, D02305, https://doi.org/10.1029/2004JD005248, 2005.
Zhao, B., Wang, S., Donahue, N. M., Jathar, S. H., Huang, X. F., Wu, W.,
Hao, J., and Robinson, A. L.: Quantifying the effect of organic aerosol
aging and intermediate-volatility emissions on regional scale aerosol
pollution in China, Sci. Rep.-UK, 6, 28815, https://doi.org/10.1038/srep28815, 2016.
Zhao, Y., Hennigan, C. J., May, A. A., Tkacik, D. S., De Gouw, J. A.,
Gilman, J. B., Kuster, W. C., Borbon, A., and Robinson, A. L.:
Intermediate-volatility organic compounds: A large source of secondary
organic aerosol, Environ. Sci. Technol., 48, 13743–13750, 2014.
Zhao, Y., Kreisberg, N. M., Worton, D. R., Isaacman, G., Weber, R. J., Liu,
S., Day, D. A., Russell, L. M., Markovic, M. Z., VandenBoer, T. C., Murphy,
J. G., Hering, S. V., and Goldstein, A. H.: Insights into secondary organic
aerosol formation mechanisms from measured gas/particle partitioning of
specific organic tracer compounds, Environ. Sci. Technol., 47, 3781–3787,
2013.
Zhao, Y., Nguyen, N. T., Presto, A. A., Hennigan, C. J., May, A. A., and
Robinson, A. L.: Intermediate volatility organic compound emissions from
on-road diesel vehicles: Chemical composition, emission Factors, and
estimated secondary organic aerosol production, Environ. Sci. Technol., 49,
11516–11526, 2015.
Zhao, Y., Nguyen, N. T., Presto, A. A., Hennigan, C. J., May, A. A., and
Robinson, A. L.: Intermediate Volatility Organic Compound Emissions from
On-Road Gasoline Vehicles and Small Off-Road Gasoline Engines, Environ. Sci.
Technol., 50, 4554–4563, 2016.
Zheng, M., Cass, G. R., Schauer, J. J., and Edgerton, E. S.: Source
Apportionment of PM2.5 in the Southeastern United States Using
Solvent-Extractable Organic Compounds as Tracers, Environ. Sci. Technol.,
36, 2361–2371, 2002.
Zhu, S., Wang, Q., Qiao, L., Zhou, M., Wang, S., Lou, S., Huang, D., Wang,
Q., Jing, S., Wang, H., Chen, C., Huang, C., and Yu, J. Z.: Tracer-based
characterization of source variations of PM2.5 and organic carbon in
Shanghai influenced by the COVID-19 lockdown, Faraday Discuss., 226, 112, https://doi.org/10.1039/D0FD00091D,
2021.
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.
This paper aims to build up an approach to establish a high-resolution emission inventory of...
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