Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-8597-2022
© Author(s) 2022. 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-22-8597-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jul 2022
Research article |
| 05 Jul 2022
| 05 Jul 2022
Dramatic changes in atmospheric pollution source contributions for a coastal megacity in northern China from 2011 to 2020
Baoshuang Liu
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
CMA-NKU Cooperative Laboratory for Atmospheric Environment–Health Research, Tianjin 300350, China
Yanyang Wang
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
CMA-NKU Cooperative Laboratory for Atmospheric Environment–Health Research, Tianjin 300350, China
He Meng
Qingdao Eco-environment Monitoring Center of Shandong Province, Qingdao 266003, China
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
CMA-NKU Cooperative Laboratory for Atmospheric Environment–Health Research, Tianjin 300350, China
Liuli Diao
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
CMA-NKU Cooperative Laboratory for Atmospheric Environment–Health Research, Tianjin 300350, China
Jianhui Wu
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
CMA-NKU Cooperative Laboratory for Atmospheric Environment–Health Research, Tianjin 300350, China
Laiyuan Shi
Qingdao Eco-environment Monitoring Center of Shandong Province, Qingdao 266003, China
Jing Wang
Qingdao Eco-environment Monitoring Center of Shandong Province, Qingdao 266003, China
Yufen Zhang
CORRESPONDING AUTHOR
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
CMA-NKU Cooperative Laboratory for Atmospheric Environment–Health Research, Tianjin 300350, China
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
CMA-NKU Cooperative Laboratory for Atmospheric Environment–Health Research, Tianjin 300350, China
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Reactive loss of VOCs is a long-term issue yet to be resolved in VOC source analyses. This review assesses the common methods and existing issues of reducing losses, impacts of losses, and sources in current source analyses. We provided a potential supporting role in solving the issues of VOC conversion. Source analyses of consumed VOCs produced by reactions for O3 and secondary organic aerosols can play an important role in effective prevention and control of atmospheric secondary pollution.
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pH is a key property of ambient aerosols, which affect many atmospheric processes. As aerosol pH is a non-conservative parameter, diverse averaging metrics and temporal resolutions may influence the pH values calculated by thermodynamic models. This technical note seeks to quantitatively evaluate the average pH using varied metrics and resolutions. The ultimate goal is to establish standardized reporting practices in future research endeavors.
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Reactive loss of VOCs is a long-term issue yet to be resolved in VOC source analyses. This review assesses the common methods and existing issues of reducing losses, impacts of losses, and sources in current source analyses. We provided a potential supporting role in solving the issues of VOC conversion. Source analyses of consumed VOCs produced by reactions for O3 and secondary organic aerosols can play an important role in effective prevention and control of atmospheric secondary pollution.
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This study focused on PM2.5 compositions and sources and explored their spatiotemporal and policy-related variations based on observation at 19 sites during wintertime of 2015–2019 in a fast-developing megacity. We found that PM2.5 compositions for the outermost zone in 2019 were similar to those for the core zone 2 or 3 years ago. Percentage contributions of coal and biomass combustion dramatically declined in the core zone, while the traffic source showed an increasing trend.
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The formation processes of secondary organic aerosol remain to be fully understood. We reported the measurement data from two field campaigns within Houston, TX, to investigate the effects of aqueous-phase chemistry and photochemistry in processing oxygenated organic aerosol (OOA) in winter and summer. Both photochemistry and aqueous-phase processing appear to facilitate more-oxidized OOA formation. The processing mechanism of less-oxidized OOA apparently depended on relative humidity.
Jing Ding, Pusheng Zhao, Jie Su, Qun Dong, Xiang Du, and Yufen Zhang
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Xiaohui Bi, Qili Dai, Jianhui Wu, Qing Zhang, Wenhui Zhang, Ruixue Luo, Yuan Cheng, Jiaying Zhang, Lu Wang, Zhuojun Yu, Yufen Zhang, Yingze Tian, and Yinchang Feng
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Source profiles are of great importance for the application of receptor models in source apportionment studies, as they characterize specific sources from a chemical point of view, revealing the signatures of source emissions. Here, a total of 3326 chemical profiles of the main primary sources across China from 1987 to 2017 are reviewed. The results highlight the urgent need for increased investigation of more specific markers beyond routinely measured components to better discriminate sources.
Ruihe Lyu, Mohammed S. Alam, Christopher Stark, Ruixin Xu, Zongbo Shi, Yinchang Feng, and Roy M. Harrison
Atmos. Chem. Phys., 19, 2233–2246, https://doi.org/10.5194/acp-19-2233-2019, https://doi.org/10.5194/acp-19-2233-2019, 2019
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Organic matter comprises a substantial proportion of the mass of toxic airborne particles which cause poor health and premature death. In this paper, new measurements of three important groups of organic compounds are reported and are analysed to infer their sources and their contributions to airborne particle concentrations.
Benjamin C. Schulze, Henry W. Wallace, Alexander T. Bui, James H. Flynn, Matt H. Erickson, Sergio Alvarez, Qili Dai, Sascha Usenko, Rebecca J. Sheesley, and Robert J. Griffin
Atmos. Chem. Phys., 18, 14217–14241, https://doi.org/10.5194/acp-18-14217-2018, https://doi.org/10.5194/acp-18-14217-2018, 2018
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Atmospheric field measurements at a coastal site near Houston, TX, were used to investigate the influence of shipping vessel emissions on aerosol mass and composition over the Gulf of Mexico. Results suggest that, despite recent regulations, these vessels still produce a considerable fraction of inorganic and organic aerosol mass in the region. Secondary effects of shipping emissions on organic aerosol composition, such as influences on aerosol aging, were also identified.
Congbo Song, Yan Liu, Shida Sun, Luna Sun, Yanjie Zhang, Chao Ma, Jianfei Peng, Qian Li, Jinsheng Zhang, Qili Dai, Baoshuang Liu, Peng Wang, Yi Zhang, Ting Wang, Lin Wu, Min Hu, and Hongjun Mao
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-387, https://doi.org/10.5194/acp-2018-387, 2018
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Vehicular emission is a key contributor to ambient volatile organic compounds (VOCs) and NOx in Chinese megacities. Information on real-world emission factors (EFs) for a typical urban fleet is still limited. We found that improvement of fuel quality can significantly reduce feet-average EFs of VOCs (especially for BTEX). Our study provided implications for O3 control in China from the view of primary emission, and highlighted the importance of further control of evaporative emissions.
Baoshuang Liu, Yuan Cheng, Ming Zhou, Danni Liang, Qili Dai, Lu Wang, Wei Jin, Lingzhi Zhang, Yibin Ren, Jingbo Zhou, Chunling Dai, Jiao Xu, Jiao Wang, Yinchang Feng, and Yufen Zhang
Atmos. Chem. Phys., 18, 7019–7039, https://doi.org/10.5194/acp-18-7019-2018, https://doi.org/10.5194/acp-18-7019-2018, 2018
Xing Peng, Jian Gao, Guoliang Shi, Xurong Shi, Yanqi Huangfu, Jiayuan Liu, Yuechong Zhang, Yinchang Feng, Wei Wang, Ruoyu Ma, Cesunica E. Ivey, and Yi Deng
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-997, https://doi.org/10.5194/acp-2017-997, 2018
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A finding here is that source emission dominates the level of pollutants and short-term meteorological condition determines the variation of pollutants. Primary source impact levels are mainly influenced by source emissions, and secondary source impact levels are mainly influenced by synoptic scale fluctuations and source emissions. The implications of results are for source apportionment analyses conducted with data from different geographical locations and under various weather conditions.
S. Han, Y. Zhang, J. Wu, X. Zhang, Y. Tian, Y. Wang, J. Ding, W. Yan, X. Bi, G. Shi, Z. Cai, Q. Yao, H. Huang, and Y. Feng
Atmos. Chem. Phys., 15, 11165–11177, https://doi.org/10.5194/acp-15-11165-2015, https://doi.org/10.5194/acp-15-11165-2015, 2015
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It is crucial for studying regional-scale PM pollution and for the development of efficient joint control policy to improve understanding of the regional background PM concentration. Based on the vertical variation periodic characteristics of particle mass concentration, the atmospheric boundary layer structure, as well as the vertical distribution of chemical composition and pollution source apportionment, a method to estimate regional background PM concentration is proposed.
Y. Z. Tian, J. Wang, X. Peng, G. L. Shi, and Y. C. Feng
Atmos. Chem. Phys., 14, 9469–9479, https://doi.org/10.5194/acp-14-9469-2014, https://doi.org/10.5194/acp-14-9469-2014, 2014
Related subject area
Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Different formation pathways of nitrogen-containing organic compounds in aerosols and fog water in northern China
Impact of weather patterns and meteorological factors on PM2.5 and O3 responses to the COVID-19 lockdown in China
Daytime and nighttime aerosol soluble iron formation in clean and slightly polluted moist air in a coastal city in eastern China
Non-negligible secondary contribution to brown carbon in autumn and winter: inspiration from particulate nitrated and oxygenated aromatic compounds in urban Beijing
Simultaneous organic aerosol source apportionment at two Antarctic sites reveals large-scale and ecoregion-specific components
Measurement report: Optical characterization, seasonality, and sources of brown carbon in fine aerosols from Tianjin, North China: year-round observations
Bayesian inference-based estimation of hourly primary and secondary organic carbon in suburban Hong Kong: multi-temporal-scale variations and evolution characteristics during PM2.5 episodes
Measurement report: Characteristics of nitrogen-containing organics in PM2.5 in Ürümqi, northwestern China – differential impacts of combustion of fresh and aged biomass materials
Measurement report: Bio-physicochemistry of tropical clouds at Maïdo (Réunion, Indian Ocean): overview of results from the BIO-MAÏDO campaign
Chemical properties and single-particle mixing state of soot aerosol in Houston during the TRACER campaign
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Measurement report: Evaluation of the TOF-ACSM-CV for PM1.0 and PM2.5 measurements during the RITA-2021 field campaign
Sea salt reactivity over the northwest Atlantic: an in-depth look using the airborne ACTIVATE dataset
Measurement report: Atmospheric ice nuclei in the Changbai Mountains (2623 m a.s.l.) in northeastern Asia
Morphological and optical properties of carbonaceous aerosol particles from ship emissions and biomass burning during a summer cruise measurement in the South China Sea
Critical contribution of chemically diverse carbonyl molecules to the oxidative potential of atmospheric aerosols
Tropical tropospheric aerosol sources and chemical composition observed at high altitude in the Bolivian Andes
Chemical composition, sources and formation mechanism of urban PM2.5 in Southwest China: a case study at the beginning of 2023
Chemical characterization of atmospheric aerosols at a high-altitude mountain site: a study of source apportionment
Composition and sources of carbonaceous aerosol in the European Arctic at Zeppelin Observatory, Svalbard (2017 to 2020)
Measurement Report: Size-resolved secondary organic aerosol formation modulated by aerosol water uptake in wintertime haze
Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments
Elucidating the mechanisms of atmospheric new particle formation in the highly polluted Po Valley, Italy
Water-insoluble organic carbon in PM2.5 over China: light-absorbing properties, potential sources, radiative forcing effects and possible light-absorbing continuum
Diverging trends in aerosol sulfate and nitrate measured in the remote North Atlantic on Barbados are attributed to clean air policies, African smoke, and anthropogenic emissions
Local ship speed reduction effect on black carbon emissions measured at remote marine station
Roles of marine biota in the formation of atmospheric bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the North Pacific Ocean, Bering Sea, and Arctic Ocean
Evolution of nucleophilic high molecular-weight organic compounds in ambient aerosols: a case study
Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions?
Real-world observations of reduced nitrogen and ultrafine particles in commercial cooking organic aerosol emissions
Source apportionment of PM2.5 in Montréal, Canada, and health risk assessment for potentially toxic elements
Physicochemical and temporal characteristics of individual atmospheric aerosol particles in urban Seoul during KORUS-AQ campaign: insights from single-particle analysis
Mass spectrometric analysis of unprecedented high levels of carbonaceous aerosol particles long-range transported from wildfires in the Siberian Arctic
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Particulate-bound alkyl nitrate pollution and formation mechanisms in Beijing, China
Measurement report: Impact of emission control measures on environmental persistent free radicals and reactive oxygen species – A short-term case study in Beijing
Characterization of water-soluble brown carbon chromophores from wildfire plumes in the western USA using size-exclusion chromatography
Marine carbohydrates in Arctic aerosol particles and fog – diversity of oceanic sources and atmospheric transformations
Investigating the contribution of grown new particles to cloud condensation nuclei with largely varying preexisting particles – Part 1: Observational data analysis
Measurement report: Brown carbon aerosol in polluted urban air of the North China Plain – day–night differences in the chromophores and optical properties
Measurement report: Secondary organic aerosols at a forested mountain site in southeastern China
Source apportionment of soot particles and aqueous-phase processing of black carbon coatings in an urban environment
Technical note: Determining chemical composition of atmospheric single particles by a standard-free mass calibration algorithm
Seasonal variations in composition and sources of atmospheric ultrafine particles in urban Beijing based on near-continuous measurements
Summertime response of ozone and fine particulate matter to mixing layer meteorology over the North China Plain
Trace elements in PM2.5 aerosols in East Asian outflow in the spring of 2018: emission, transport, and source apportionment
Measurement Report: Investigation on the sources and formation processes of dicarboxylic acids and related species in urban aerosols before and during the COVID-19 lockdown in Jinan, East China
pH dependence of brown-carbon optical properties in cloud water
Oxidative potential in rural, suburban and city centre atmospheric environments in central Europe
Diverse mixing state and ice nucleation properties of aerosol particles over the Western Pacific and the Southern Ocean
Wei Sun, Xiaodong Hu, Yuzhen Fu, Guohua Zhang, Yujiao Zhu, Xinfeng Wang, Caiqing Yan, Likun Xue, He Meng, Bin Jiang, Yuhong Liao, Xinming Wang, Ping'an Peng, and Xinhui Bi
Atmos. Chem. Phys., 24, 6987–6999, https://doi.org/10.5194/acp-24-6987-2024, https://doi.org/10.5194/acp-24-6987-2024, 2024
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The formation pathways of nitrogen-containing compounds (NOCs) in the atmosphere remain unclear. We investigated the composition of aerosols and fog water by state-of-the-art mass spectrometry and compared the formation pathways of NOCs. We found that NOCs in aerosols were mainly formed through nitration reaction, while ammonia addition played a more important role in fog water. The results deepen our understanding of the processes of organic particulate pollution.
Fuzhen Shen, Michaela I. Hegglin, and Yue Yuan
Atmos. Chem. Phys., 24, 6539–6553, https://doi.org/10.5194/acp-24-6539-2024, https://doi.org/10.5194/acp-24-6539-2024, 2024
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We attempt to use a novel structural self-organising map and machine learning models to identify a weather system and quantify the importance of each meteorological factor in driving the unexpected PM2.5 and O3 changes under the specific weather system during the COVID-19 lockdown in China. The result highlights that temperature under the double-centre high-pressure system plays the most crucial role in abnormal events.
Wenshuai Li, Yuxuan Qi, Yingchen Liu, Guanru Wu, Yanjing Zhang, Jinhui Shi, Wenjun Qu, Lifang Sheng, Wencai Wang, Daizhou Zhang, and Yang Zhou
Atmos. Chem. Phys., 24, 6495–6508, https://doi.org/10.5194/acp-24-6495-2024, https://doi.org/10.5194/acp-24-6495-2024, 2024
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Aerosol particles from mainland can transport to oceans and deposit, providing soluble Fe and affecting phytoplankton growth. Thus, we studied the dissolution process of aerosol Fe and found that photochemistry played a key role in promoting Fe dissolution in clean conditions. RH-dependent reactions were more influential in slightly polluted conditions. These results highlight the distinct roles of two weather-related parameters (radiation and RH) in influencing geochemical cycles related to Fe.
Yanqin Ren, Zhenhai Wu, Yuanyuan Ji, Fang Bi, Junling Li, Haijie Zhang, Hao Zhang, Hong Li, and Gehui Wang
Atmos. Chem. Phys., 24, 6525–6538, https://doi.org/10.5194/acp-24-6525-2024, https://doi.org/10.5194/acp-24-6525-2024, 2024
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Nitrated aromatic compounds (NACs) and oxygenated derivatives of polycyclic aromatic hydrocarbons (OPAHs) in PM2.5 were examined from an urban area in Beijing during the autumn and winter. The OPAH and NAC concentrations were much higher during heating than before heating. They majorly originated from the combustion of biomass and automobile emissions, and the secondary generation was the major contributor throughout the whole sampling period.
Marco Paglione, David C. S. Beddows, Anna Jones, Thomas Lachlan-Cope, Matteo Rinaldi, Stefano Decesari, Francesco Manarini, Mara Russo, Karam Mansour, Roy M. Harrison, Andrea Mazzanti, Emilio Tagliavini, and Manuel Dall'Osto
Atmos. Chem. Phys., 24, 6305–6322, https://doi.org/10.5194/acp-24-6305-2024, https://doi.org/10.5194/acp-24-6305-2024, 2024
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Applying factor analysis techniques to H-NMR spectra, we present the organic aerosol (OA) source apportionment of PM1 samples collected in parallel at two Antarctic stations, namely Signy and Halley, allowing investigation of aerosol–climate interactions in an unperturbed atmosphere. Our results show remarkable differences between pelagic (open-ocean) and sympagic (sea-ice-influenced) air masses and indicate that various sources and processes are controlling Antarctic aerosols.
Zhichao Dong, Chandra Mouli Pavuluri, Peisen Li, Zhanjie Xu, Junjun Deng, Xueyan Zhao, Xiaomai Zhao, Pingqing Fu, and Cong-Qiang Liu
Atmos. Chem. Phys., 24, 5887–5905, https://doi.org/10.5194/acp-24-5887-2024, https://doi.org/10.5194/acp-24-5887-2024, 2024
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Comprehensive study of optical properties of brown carbon (BrC) in fine aerosols from Tianjin, China, implied that biological emissions are major sources of BrC in summer, whereas fossil fuel combustion and biomass burning emissions are in cold periods. The direct radiation absorption caused by BrC in short wavelengths contributed about 40 % to that caused by BrC in 300–700 nm. Water-insoluble but methanol-soluble BrC contains more protein-like chromophores (PLOM) than that of water-soluble BrC.
Shan Wang, Kezheng Liao, Zijing Zhang, Yuk Ying Cheng, Qiongqiong Wang, Hanzhe Chen, and Jian Zhen Yu
Atmos. Chem. Phys., 24, 5803–5821, https://doi.org/10.5194/acp-24-5803-2024, https://doi.org/10.5194/acp-24-5803-2024, 2024
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In this work, hourly primary and secondary organic carbon were estimated by a novel Bayesian inference approach in suburban Hong Kong. Their multi-temporal-scale variations and evolution characteristics during PM2.5 episodes were examined. The methodology could serve as a guide for other locations with similar monitoring capabilities. The observation-based results are helpful for understanding the evolving nature of secondary organic aerosols and refining the accuracy of model simulations.
Yi-Jia Ma, Yu Xu, Ting Yang, Hong-Wei Xiao, and Hua-Yun Xiao
Atmos. Chem. Phys., 24, 4331–4346, https://doi.org/10.5194/acp-24-4331-2024, https://doi.org/10.5194/acp-24-4331-2024, 2024
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This study provides field-based evidence about the differential impacts of combustion of fresh and aged biomass materials on aerosol nitrogen-containing organic compounds (NOCs) in different seasons in Ürümqi, bridging the linkages between the observations and previous laboratory studies showing the formation mechanisms of NOCs.
Maud Leriche, Pierre Tulet, Laurent Deguillaume, Frédéric Burnet, Aurélie Colomb, Agnès Borbon, Corinne Jambert, Valentin Duflot, Stéphan Houdier, Jean-Luc Jaffrezo, Mickaël Vaïtilingom, Pamela Dominutti, Manon Rocco, Camille Mouchel-Vallon, Samira El Gdachi, Maxence Brissy, Maroua Fathalli, Nicolas Maury, Bert Verreyken, Crist Amelynck, Niels Schoon, Valérie Gros, Jean-Marc Pichon, Mickael Ribeiro, Eric Pique, Emmanuel Leclerc, Thierry Bourrianne, Axel Roy, Eric Moulin, Joël Barrie, Jean-Marc Metzger, Guillaume Péris, Christian Guadagno, Chatrapatty Bhugwant, Jean-Mathieu Tibere, Arnaud Tournigand, Evelyn Freney, Karine Sellegri, Anne-Marie Delort, Pierre Amato, Muriel Joly, Jean-Luc Baray, Pascal Renard, Angelica Bianco, Anne Réchou, and Guillaume Payen
Atmos. Chem. Phys., 24, 4129–4155, https://doi.org/10.5194/acp-24-4129-2024, https://doi.org/10.5194/acp-24-4129-2024, 2024
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Aerosol particles in the atmosphere play a key role in climate change and air pollution. A large number of aerosol particles are formed from the oxidation of volatile organic compounds (VOCs and secondary organic aerosols – SOA). An important field campaign was organized on Réunion in March–April 2019 to understand the formation of SOA in a tropical atmosphere mostly influenced by VOCs emitted by forest and in the presence of clouds. This work synthesizes the results of this campaign.
Ryan N. Farley, James E. Lee, Laura-Hélèna Rivellini, Alex K. Y. Lee, Rachael Dal Porto, Christopher D. Cappa, Kyle Gorkowski, Abu Sayeed Md Shawon, Katherine B. Benedict, Allison C. Aiken, Manvendra K. Dubey, and Qi Zhang
Atmos. Chem. Phys., 24, 3953–3971, https://doi.org/10.5194/acp-24-3953-2024, https://doi.org/10.5194/acp-24-3953-2024, 2024
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The black carbon aerosol composition and mixing state were characterized using a soot particle aerosol mass spectrometer. Single-particle measurements revealed the major role of atmospheric processing in modulating the black carbon mixing state. A significant fraction of soot particles were internally mixed with oxidized organic aerosol and sulfate, with implications for activation as cloud nuclei.
Fenghua Wei, Xing Peng, Liming Cao, Mengxue Tang, Ning Feng, Xiaofeng Huang, and Lingyan He
EGUsphere, https://doi.org/10.5194/egusphere-2024-736, https://doi.org/10.5194/egusphere-2024-736, 2024
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The water solubility of secondary organic aerosols (SOA) is a crucial factor in determining their hygroscopicity and climatic impact. Stable carbon isotope and mass spectrometry techniques were combined to assess the water solubility of SOA with different aging degrees in a coastal megacity in China. This work revealed a much higher water-soluble fraction of aged SOA compared to fresh SOA, indicating that the aging degree of SOA has considerable impacts on its water solubility.
Xinya Liu, Bas Henzing, Arjan Hensen, Jan Mulder, Peng Yao, Danielle van Dinther, Jerry van Bronckhorst, Rujin Huang, and Ulrike Dusek
Atmos. Chem. Phys., 24, 3405–3420, https://doi.org/10.5194/acp-24-3405-2024, https://doi.org/10.5194/acp-24-3405-2024, 2024
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We evaluated the time-of-flight aerosol chemical speciation monitor (TOF-ACSM) following the implementation of the PM2.5 aerodynamic lens and a capture vaporizer (CV). The results showed that it significantly improved the accuracy and precision of ACSM in the field observations. The paper elucidates the measurement outcomes of various instruments and provides an analysis of their biases. This comprehensive evaluation is expected to benefit the ACSM community and other aerosol field measurements.
Eva-Lou Edwards, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Claire E. Robinson, Michael A. Shook, Edward L. Winstead, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 24, 3349–3378, https://doi.org/10.5194/acp-24-3349-2024, https://doi.org/10.5194/acp-24-3349-2024, 2024
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We investigate Cl− depletion in sea salt particles over the northwest Atlantic from December 2021 to June 2022 using an airborne dataset. Losses of Cl− are greatest in May and least in December–February and March. Inorganic acidic species can account for all depletion observed for December–February, March, and June near Bermuda but none in May. Quantifying Cl− depletion as a percentage captures seasonal trends in depletion but fails to convey the effects it may have on atmospheric oxidation.
Yue Sun, Yujiao Zhu, Yanbin Qi, Lanxiadi Chen, Jiangshan Mu, Ye Shan, Yu Yang, Yanqiu Nie, Ping Liu, Can Cui, Ji Zhang, Mingxuan Liu, Lingli Zhang, Yufei Wang, Xinfeng Wang, Mingjin Tang, Wenxing Wang, and Likun Xue
Atmos. Chem. Phys., 24, 3241–3256, https://doi.org/10.5194/acp-24-3241-2024, https://doi.org/10.5194/acp-24-3241-2024, 2024
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Field observations were conducted at the summit of Changbai Mountain in northeast Asia. The cumulative number concentration of ice-nucleating particles (INPs) varied from 1.6 × 10−3 to 78.3 L−1 over the temperature range of −5.5 to −29.0 ℃. Biological INPs (bio-INPs) accounted for the majority of INPs, and the proportion exceeded 90% above −13.0 ℃. Planetary boundary layer height, valley breezes, and long-distance transport of air mass influence the abundance of bio-INPs.
Cuizhi Sun, Yongyun Zhang, Baoling Liang, Min Gao, Xi Sun, Fei Li, Xue Ni, Qibin Sun, Hengjia Ou, Dexian Chen, Shengzhen Zhou, and Jun Zhao
Atmos. Chem. Phys., 24, 3043–3063, https://doi.org/10.5194/acp-24-3043-2024, https://doi.org/10.5194/acp-24-3043-2024, 2024
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In a May–June 2021 expedition in the South China Sea, we analyzed black and brown carbon in marine aerosols, key to light absorption and climate impact. Using advanced in situ and microscope techniques, we observed particle size, structure, and tar balls mixed with various elements. Results showed biomass burning and fossil fuels majorly influence light absorption, especially during significant burning events. This research aids the understanding of carbonaceous aerosols' role in marine climate.
Feifei Li, Shanshan Tang, Jitao Lv, Shiyang Yu, Xu Sun, Dong Cao, Yawei Wang, and Guibin Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-37, https://doi.org/10.5194/egusphere-2024-37, 2024
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Targeted derivatization and non-targeted analysis with FT-ICR MS were used to reveal the molecular composition of carbonyl molecules in PM2.5, and the important role of carbonyls in increasing the oxidative potential of organic aerosol was found in the real samples.
C. Isabel Moreno, Radovan Krejci, Jean-Luc Jaffrezo, Gaëlle Uzu, Andrés Alastuey, Marcos F. Andrade, Valeria Mardóñez, Alkuin Maximilian Koenig, Diego Aliaga, Claudia Mohr, Laura Ticona, Fernando Velarde, Luis Blacutt, Ricardo Forno, David N. Whiteman, Alfred Wiedensohler, Patrick Ginot, and Paolo Laj
Atmos. Chem. Phys., 24, 2837–2860, https://doi.org/10.5194/acp-24-2837-2024, https://doi.org/10.5194/acp-24-2837-2024, 2024
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Aerosol chemical composition (ions, sugars, carbonaceous matter) from 2011 to 2020 was studied at Mt. Chacaltaya (5380 m a.s.l., Bolivian Andes). Minimum concentrations occur in the rainy season with maxima in the dry and transition seasons. The origins of the aerosol are located in a radius of hundreds of kilometers: nearby urban and rural areas, natural biogenic emissions, vegetation burning from Amazonia and Chaco, Pacific Ocean emissions, soil dust, and Peruvian volcanism.
Junke Zhang, Yunfei Su, Chunying Chen, Wenkai Guo, Qinwen Tan, Miao Feng, Danlin Song, Tao Jiang, Qiang Chen, Yuan Li, Wei Li, Yizhi Wang, Xiaojuan Huang, Lin Han, Wanqing Wu, and Gehui Wang
Atmos. Chem. Phys., 24, 2803–2820, https://doi.org/10.5194/acp-24-2803-2024, https://doi.org/10.5194/acp-24-2803-2024, 2024
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Typical haze events in Chengdu at the beginning of 2023 were investigated with bulk-chemical and single-particle analyses along with numerical model simulations. By integrating the obtained chemical composition, source, mixing state and numerical simulation results, we infer that Haze-1 was mainly caused by pollutants related to fossil fuel combustion, especially local mobile sources, while Haze-2 was triggered by the secondary pollutants, which mainly came from regional transmission.
Elena Barbaro, Matteo Feltracco, Fabrizio De Blasi, Clara Turetta, Marta Radaelli, Warren Cairns, Giulio Cozzi, Giovanna Mazzi, Marco Casula, Jacopo Gabrieli, Carlo Barbante, and Andrea Gambaro
Atmos. Chem. Phys., 24, 2821–2835, https://doi.org/10.5194/acp-24-2821-2024, https://doi.org/10.5194/acp-24-2821-2024, 2024
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The study analyzed a year of atmospheric aerosol composition at Col Margherita in the Italian Alps. Over 100 chemical markers were identified, including major ions, organic compounds, and trace elements. It revealed sources of aerosol, highlighted impacts of Saharan dust events, and showed anthropogenic pollution's influence despite the site's remoteness. Enrichment factors emphasized non-natural sources of trace elements. Source apportionment identified four key factors affecting the area.
Karl Espen Yttri, Are Bäcklund, Franz Conen, Sabine Eckhardt, Nikolaos Evangeliou, Markus Fiebig, Anne Kasper-Giebl, Avram Gold, Hans Gundersen, Cathrine Lund Myhre, Stephen Matthew Platt, David Simpson, Jason D. Surratt, Sönke Szidat, Martin Rauber, Kjetil Tørseth, Martin Album Ytre-Eide, Zhenfa Zhang, and Wenche Aas
Atmos. Chem. Phys., 24, 2731–2758, https://doi.org/10.5194/acp-24-2731-2024, https://doi.org/10.5194/acp-24-2731-2024, 2024
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We discuss carbonaceous aerosol (CA) observed at the high Arctic Zeppelin Observatory (2017 to 2020). We find that organic aerosol is a significant fraction of the Arctic aerosol, though less than sea salt aerosol and mineral dust, as well as non-sea-salt sulfate, originating mainly from anthropogenic sources in winter and from natural sources in summer, emphasizing the importance of wildfires for biogenic secondary organic aerosol and primary biological aerosol particles observed in the Arctic.
Jing Duan, Ru-Jin Huang, Ying Wang, Wei Xu, Haobin Zhong, Chunshui Lin, Wei Huang, Yifang Gu, Jurgita Ovadnevaite, Darius Ceburnis, and Colin O’Dowd
EGUsphere, https://doi.org/10.5194/egusphere-2024-573, https://doi.org/10.5194/egusphere-2024-573, 2024
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The chemical composition of atmospheric particles showed significant changes in recent years. We investigated the potential effects of inorganics changes on aerosol water uptake and thus secondary organic aerosol formation in wintertime haze, based on the size-resolved measurements of non-refractory fine particulate matter (NR-PM2.5) in Xi’an, Northwest China. This study highlights the key role of aerosol water as a medium to link inorganics and organics in their multiphase processes.
Wei Huang, Cheng Wu, Linyu Gao, Yvette Gramlich, Sophie L. Haslett, Joel Thornton, Felipe D. Lopez-Hilfiker, Ben H. Lee, Junwei Song, Harald Saathoff, Xiaoli Shen, Ramakrishna Ramisetty, Sachchida N. Tripathi, Dilip Ganguly, Feng Jiang, Magdalena Vallon, Siegfried Schobesberger, Taina Yli-Juuti, and Claudia Mohr
Atmos. Chem. Phys., 24, 2607–2624, https://doi.org/10.5194/acp-24-2607-2024, https://doi.org/10.5194/acp-24-2607-2024, 2024
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We present distinct molecular composition and volatility of oxygenated organic aerosol particles in different rural, urban, and mountain environments. We do a comprehensive investigation of the relationship between the chemical composition and volatility of oxygenated organic aerosol particles across different systems and environments. This study provides implications for volatility descriptions of oxygenated organic aerosol particles in different model frameworks.
Jing Cai, Juha Sulo, Yifang Gu, Sebastian Holm, Runlong Cai, Steven Thomas, Almuth Neuberger, Fredrik Mattsson, Marco Paglione, Stefano Decesari, Matteo Rinaldi, Rujing Yin, Diego Aliaga, Wei Huang, Yuanyuan Li, Yvette Gramlich, Giancarlo Ciarelli, Lauriane Quéléver, Nina Sarnela, Katrianne Lehtipalo, Nora Zannoni, Cheng Wu, Wei Nie, Juha Kangasluoma, Claudia Mohr, Markku Kulmala, Qiaozhi Zha, Dominik Stolzenburg, and Federico Bianchi
Atmos. Chem. Phys., 24, 2423–2441, https://doi.org/10.5194/acp-24-2423-2024, https://doi.org/10.5194/acp-24-2423-2024, 2024
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By combining field measurements, simulations and recent chamber experiments, we investigate new particle formation (NPF) and growth in the Po Valley, where both haze and frequent NPF occur. Our results show that sulfuric acid, ammonia and amines are the dominant NPF precursors there. A high NPF rate and a lower condensation sink lead to a greater survival probability for newly formed particles, highlighting the importance of gas-to-particle conversion for aerosol concentrations.
Yangzhi Mo, Jun Li, Guangcai Zhong, Sanyuan Zhu, Shizhen Zhao, Jiao Tang, Hongxing Jiang, Zhineng Cheng, Chongguo Tian, Yingjun Chen, and Gan Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2024-130, https://doi.org/10.5194/egusphere-2024-130, 2024
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In this study, we found that biomass burning (31.0 %) and coal combustion (31.1 %), were the dominant sources of water-insoluble organic carbon in China, with coal combustion sources exhibited the strongest light-absorbing capacity. Additionally, we propose a light-absorbing carbonaceous continuum, revealing that components enriched with fossil sources tend to have stronger light-absorbing capacity, higher aromaticity, higher molecular weights, and greater recalcitrance in the atmosphere.
Cassandra J. Gaston, Joseph M. Prospero, Kristen Foley, Havala O. T. Pye, Lillian Custals, Edmund Blades, Peter Sealy, and James A. Christie
EGUsphere, https://doi.org/10.5194/egusphere-2024-11, https://doi.org/10.5194/egusphere-2024-11, 2024
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To understand how changing emissions have impacted aerosols in remote regions, we measured nitrate and sulfate at Barbados and compared to model predictions from EPA’s Air QUAlity TimE Series (EQUATES). Nitrate was stable except for spikes in 2008 and 2010 due to transported smoke. Sulfate decreased in the 1990s due to reductions of sulfur dioxide (SO2) in the U.S. and Europe, then increased in the 2000s due to anthropogenic emissions from Africa and more efficient oxidation of SO2.
Mikko Heikkilä, Krista Luoma, Timo Mäkelä, and Tiia Grönholm
EGUsphere, https://doi.org/10.5194/egusphere-2023-2823, https://doi.org/10.5194/egusphere-2023-2823, 2024
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Black carbon (BC) concentration was measured from 211 ship exhaust gas plumes at a remote marine station. Emission factors of BC were calculated in grams/kilograms fuel. Ships using exhaust gas cleaning systems (EGCS) were found to emit 80 % less BC than ships without EGCS. Emission factors were used to model BC emissions as a function of speed to define the effect of speed reduction. BC emissions increased with a decrease in speed from the ship’s service speed.
Kaori Kawana, Fumikazu Taketani, Kazuhiko Matsumoto, Yutaka Tobo, Yoko Iwamoto, Takuma Miyakawa, Akinori Ito, and Yugo Kanaya
Atmos. Chem. Phys., 24, 1777–1799, https://doi.org/10.5194/acp-24-1777-2024, https://doi.org/10.5194/acp-24-1777-2024, 2024
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Based on comprehensive shipborne observations, we found strong links between sea-surface biological materials and the formation of atmospheric fluorescent bioaerosols, cloud condensation nuclei, and ice-nucleating particles over the Arctic Ocean and Bering Sea during autumn 2019. Taking the wind-speed effect into account, we propose equations to approximate the links for this cruise, which can be used as a guide for modeling as well as for systematic comparisons with other observations.
Chen He, Hanxiong Che, Zier Bao, Yiliang Liu, Qing Li, Miao Hu, Jiawei Zhou, Shumin Zhang, Xiaojiang Yao, Quan Shi, Chunmao Chen, Yan Han, Lingshuo Meng, Xin Long, Fumo Yang, and Yang Chen
Atmos. Chem. Phys., 24, 1627–1639, https://doi.org/10.5194/acp-24-1627-2024, https://doi.org/10.5194/acp-24-1627-2024, 2024
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We examined the daily evolution of high molecular-weight organic compounds with a molecular weight of up to 1000 Da in order to comprehend their behaviors in the atmosphere under actual conditions. These compounds were proven to undergo multi-generation oxidation, carboxylation, and nitrification via both day- and nighttime chemistry.
Karine Desboeufs, Paola Formenti, Raquel Torres-Sánchez, Kerstin Schepanski, Jean-Pierre Chaboureau, Hendrik Andersen, Jan Cermak, Stefanie Feuerstein, Benoit Laurent, Danitza Klopper, Andreas Namwoonde, Mathieu Cazaunau, Servanne Chevaillier, Anaïs Feron, Cécile Mirande-Bret, Sylvain Triquet, and Stuart J. Piketh
Atmos. Chem. Phys., 24, 1525–1541, https://doi.org/10.5194/acp-24-1525-2024, https://doi.org/10.5194/acp-24-1525-2024, 2024
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This study investigates the fractional solubility of iron (Fe) in dust particles along the coast of Namibia, a critical region for the atmospheric Fe supply of the South Atlantic Ocean. Our results suggest a possible two-way interplay whereby marine biogenic emissions from the coastal marine ecosystems into the atmosphere would increase the solubility of Fe-bearing dust by photo-reduction processes. The subsequent deposition of soluble Fe could act to further enhance marine biogenic emissions.
Sunhye Kim, Jo Machesky, Drew R. Gentner, and Albert A. Presto
Atmos. Chem. Phys., 24, 1281–1298, https://doi.org/10.5194/acp-24-1281-2024, https://doi.org/10.5194/acp-24-1281-2024, 2024
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Cooking emissions are often an overlooked source of air pollution. We used a mobile lab to measure the characteristics of particles emitted from cooking sites in two cities. Our findings showed that cooking releases a substantial number of fine particles. While most emissions were similar, a bakery site showed distinctive chemical compositions with higher nitrogen compound levels. Thus, understanding the particle emissions from different cooking activities is crucial.
Nansi Fakhri, Robin Stevens, Arnold Downey, Konstantina Oikonomou, Jean Sciare, Charbel Afif, and Patrick L. Hayes
Atmos. Chem. Phys., 24, 1193–1212, https://doi.org/10.5194/acp-24-1193-2024, https://doi.org/10.5194/acp-24-1193-2024, 2024
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We investigated the chemical composition of atmospheric fine particles, their emission sources, and the potential human health risk associated with trace elements in particles for an urban site in Montréal over a 3-month period (August–November). This study represents the first time that such extensive composition measurements were included in an urban source apportionment study in Canada, and it provides greater resolution of fine-particle sources than has been previously achieved in Canada.
Hanjin Yoo, Li Wu, Hong Geng, and Chul-Un Ro
Atmos. Chem. Phys., 24, 853–867, https://doi.org/10.5194/acp-24-853-2024, https://doi.org/10.5194/acp-24-853-2024, 2024
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We conducted an investigation of atmospheric aerosols collected in Seoul, South Korea, during the KORUS-AQ campaign on a single-particle basis. We were able to identify their sources, the atmospheric fate, and the impacts of local emissions and long-range transport on aerosol composition. Additionally, we traced potential sources of non-exhaust heavy-metal particles. This comprehensive analysis provides valuable insights into the complex dynamics of urban aerosols.
Eric Schneider, Hendryk Czech, Olga Popovicheva, Marina Chichaeva, Vasily Kobelev, Nikolay Kasimov, Tatiana Minkina, Christopher Paul Rüger, and Ralf Zimmermann
Atmos. Chem. Phys., 24, 553–576, https://doi.org/10.5194/acp-24-553-2024, https://doi.org/10.5194/acp-24-553-2024, 2024
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This study provides insights into the complex chemical composition of long-range-transported wildfire plumes from Yakutia, which underwent different levels of atmospheric processing. With complementary mass spectrometric techniques, we improve our understanding of the chemical processes and atmospheric fate of wildfire plumes. Unprecedented high levels of carbonaceous aerosols crossed the polar circle with implications for the Arctic ecosystem and consequently climate.
Qiongqiong Wang, Shuhui Zhu, Shan Wang, Cheng Huang, Yusen Duan, and Jian Zhen Yu
Atmos. Chem. Phys., 24, 475–486, https://doi.org/10.5194/acp-24-475-2024, https://doi.org/10.5194/acp-24-475-2024, 2024
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We investigated short-term source apportionment of PM2.5 utilizing rolling positive matrix factorization (PMF) and online PM chemical speciation data, which included source-specific organic tracers collected over a period of 37 d during the winter of 2019–2020 in suburban Shanghai, China. The findings highlight that by imposing constraints on the primary source profiles, short-term PMF analysis successfully replicated both the individual primary sources and the total secondary sources.
Jiyuan Yang, Guoyang Lei, Jinfeng Zhu, Yutong Wu, Chang Liu, Kai Hu, Junsong Bao, Zitong Zhang, Weili Lin, and Jun Jin
Atmos. Chem. Phys., 24, 123–136, https://doi.org/10.5194/acp-24-123-2024, https://doi.org/10.5194/acp-24-123-2024, 2024
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The atmospheric pollution and formation mechanisms of particulate-bound alkyl nitrate in Beijing were studied. C9–C16 long-chain n-alkyl nitrates negatively correlated with O3 but positively correlated with PM2.5 and NO2, so they may not be produced during gas-phase homogeneous reactions in the photochemical process but form through reactions between alkanes and nitrates on PM surfaces. Particulate-bound n-alkyl nitrates strongly affect both haze pollution and atmospheric visibility.
Yuanyuan Qin, Xinghua Zhang, Wei Huang, Juanjuan Qin, Xiaoyu Hu, Yuxuan Cao, Tianyi Zhao, Yang Zhang, Jihua Tan, Ziyin Zhang, Xinming Wang, and Zhenzhen Wang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2703, https://doi.org/10.5194/egusphere-2023-2703, 2024
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Environmental persistent free radicals (EPFRs) and reactive oxygen species (ROS) play an active role in the atmosphere. We quantified the impact of control measures on EPFRs and ROS and found that strict control measures have effectively reduced their emissions, largely linked to a significant decrease in secondary aerosols. Our findings have great implications for further understanding the formation and sources and for developing future air quality management policies targeting EPFRs and ROS.
Lisa Azzarello, Rebecca A. Washenfelder, Michael A. Robinson, Alessandro Franchin, Caroline C. Womack, Christopher D. Holmes, Steven S. Brown, Ann Middlebrook, Tim Newberger, Colm Sweeney, and Cora J. Young
Atmos. Chem. Phys., 23, 15643–15654, https://doi.org/10.5194/acp-23-15643-2023, https://doi.org/10.5194/acp-23-15643-2023, 2023
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We present a molecular size-resolved offline analysis of water-soluble brown carbon collected on an aircraft during FIREX-AQ. The smoke plumes were aged 0 to 5 h, where absorption was dominated by small molecular weight molecules, brown carbon absorption downwind did not consistently decrease, and the measurements differed from online absorption measurements of the same samples. We show how differences between online and offline absorption could be related to different measurement conditions.
Sebastian Zeppenfeld, Manuela van Pinxteren, Markus Hartmann, Moritz Zeising, Astrid Bracher, and Hartmut Herrmann
Atmos. Chem. Phys., 23, 15561–15587, https://doi.org/10.5194/acp-23-15561-2023, https://doi.org/10.5194/acp-23-15561-2023, 2023
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Marine carbohydrates are produced in the surface of the ocean, enter the atmophere as part of sea spray aerosol particles, and potentially contribute to the formation of fog and clouds. Here, we present the results of a sea–air transfer study of marine carbohydrates conducted in the high Arctic. Besides a chemo-selective transfer, we observed a quick atmospheric aging of carbohydrates, possibly as a result of both biotic and abiotic processes.
Xing Wei, Yanjie Shen, Xiao-Ying Yu, Yang Gao, Huiwang Gao, Ming Chu, Yujiao Zhu, and Xiaohong Yao
Atmos. Chem. Phys., 23, 15325–15350, https://doi.org/10.5194/acp-23-15325-2023, https://doi.org/10.5194/acp-23-15325-2023, 2023
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We investigate the contribution of grown new particles to Nccn at a rural mountain site in the North China Plain. The total particle number concentrations (Ncn) observed on 8 new particle formation (NPF) days were higher compared to non-NPF days. The Nccn at 0.2 % supersaturation (SS) and 0.4 % SS on the NPF days was significantly lower than on non-NPF days. Only one of eight NPF events had detectable net contributions to Nccn at 0.4 % SS and 1.0 % SS with increased κ values.
Yuquan Gong, Ru-Jin Huang, Lu Yang, Ting Wang, Wei Yuan, Wei Xu, Wenjuan Cao, Yang Wang, and Yongjie Li
Atmos. Chem. Phys., 23, 15197–15207, https://doi.org/10.5194/acp-23-15197-2023, https://doi.org/10.5194/acp-23-15197-2023, 2023
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This study reveals the large day–night differences in brown carbon (BrC) chromophore composition, which was not known previously. The results provide insights into the effects of atmospheric processes and emissions on BrC composition.
Zijun Zhang, Weiqi Xu, Yi Zhang, Wei Zhou, Xiangyu Xu, Aodong Du, Yinzhou Zhang, Hongqin Qiao, Ye Kuang, Xiaole Pan, Zifa Wang, Xueling Cheng, Lanzhong Liu, Qingyang Fu, Douglas R. Worsnop, Jie Li, and Yele Sun
EGUsphere, https://doi.org/10.5194/egusphere-2023-2684, https://doi.org/10.5194/egusphere-2023-2684, 2023
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We investigated aerosol composition, sources, and the interaction between secondary organic aerosol (SOA) and clouds at a regional mountain site in southeastern China. Clouds efficiently scavenge more-oxidized SOA; however, cloud evaporation leads to the production of less-oxidized SOA. The unexpectedly high presence of nitrate in aerosol particles indicates that nitrate formed in polluted areas has undergone interactions with clouds, significantly influencing the regional background site.
Ryan N. Farley, Sonya Collier, Christopher D. Cappa, Leah R. Williams, Timothy B. Onasch, Lynn M. Russell, Hwajin Kim, and Qi Zhang
Atmos. Chem. Phys., 23, 15039–15056, https://doi.org/10.5194/acp-23-15039-2023, https://doi.org/10.5194/acp-23-15039-2023, 2023
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Soot particles, also known as black carbon (BC), have important implications for global climate and regional air quality. After the particles are emitted, BC can be coated with other material, impacting the aerosol properties. We selectively measured the composition of particles containing BC to explore their sources and chemical transformations in the atmosphere. We focus on a persistent, multiday fog event in order to study the effects of chemical reactions occurring within liquid droplets.
Shao Shi, Jinghao Zhai, Xin Yang, Yechun Ruan, Yuanlong Huang, Xujian Chen, Antai Zhang, Jianhuai Ye, Guomao Zheng, Baohua Cai, Yaling Zeng, Yixiang Wang, Chunbo Xing, Yujie Zhang, Tzung-May Fu, Lei Zhu, Huizhong Shen, and Chen Wang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2610, https://doi.org/10.5194/egusphere-2023-2610, 2023
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The determination of ions in the mass spectra of individual particles remains uncertain. We have developed a standard-free mass calibration algorithm applicable to more than 98 % of ambient particles. With our algorithm, ions with ~0.05 Th mass difference could be determined. Therefore, many more atmospheric species could be determined and involved in the source apportionment of aerosols, the study of chemical reaction mechanisms, and the analysis of single-particle mixing states.
Xiaoxiao Li, Yijing Chen, Yuyang Li, Runlong Cai, Yiran Li, Chenjuan Deng, Jin Wu, Chao Yan, Hairong Cheng, Yongchun Liu, Markku Kulmala, Jiming Hao, James N. Smith, and Jingkun Jiang
Atmos. Chem. Phys., 23, 14801–14812, https://doi.org/10.5194/acp-23-14801-2023, https://doi.org/10.5194/acp-23-14801-2023, 2023
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Near-continuous measurements show the composition, sources, and seasonal variations of ultrafine particles (UFPs) in urban Beijing. Vehicle and cooking emissions and new particle formation are the main sources of UFPs, and aqueous/heterogeneous processes increase UFP mode diameters. UFPs are the highest in winter due to the highest primary particle emission rates and new particle formation rates, and CHO fractions are the highest in summer due to the strongest photooxidation.
Jiaqi Wang, Jian Gao, Fei Che, Xin Yang, Yuanqin Yang, Lei Liu, Yan Xiang, and Haisheng Li
Atmos. Chem. Phys., 23, 14715–14733, https://doi.org/10.5194/acp-23-14715-2023, https://doi.org/10.5194/acp-23-14715-2023, 2023
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Regional-scale observations of surface O3, PM2.5 and its major chemical species, mixing layer height (MLH), and other meteorological parameters were made in the North China Plain during summer. Unlike the cold season, synchronized increases in MDA8 O3 and PM2.5 under medium MLH conditions have been witnessed. The increasing trend of PM2.5 was associated with enhanced secondary chemical formation. The correlation between MLH and secondary air pollutants should be treated with care in hot seasons.
Takuma Miyakawa, Akinori Ito, Chunmao Zhu, Atsushi Shimizu, Erika Matsumoto, Yusuke Mizuno, and Yugo Kanaya
Atmos. Chem. Phys., 23, 14609–14626, https://doi.org/10.5194/acp-23-14609-2023, https://doi.org/10.5194/acp-23-14609-2023, 2023
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This study conducted semi-continuous measurements of PM2.5 aerosols and their elemental composition in western Japan, during spring 2018. It analyzed the emissions, transport, and wet removal of elements such as Pb, Cu, Fe, and Mn. It also assessed the accuracy of modeled concentrations and found overestimations of BC and underestimations of Cu and anthropogenic Fe in East Asia. Insights into emissions, removals, and source apportionment of trace metals in the East Asian outflow were provided.
Jingjing Meng, Yachen Wang, Yuanyuan Li, Tonglin Huang, Zhifei Wang, Yiqiu Wang, Min Chen, Zhanfang Hou, Houhua Zhou, Keding Lu, Kimitaka Kawamura, and Pingqing Fu
Atmos. Chem. Phys., 23, 14481–14503, https://doi.org/10.5194/acp-23-14481-2023, https://doi.org/10.5194/acp-23-14481-2023, 2023
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This study investigated the effect of COVID-19 lockdown (LCD) measures on the formation and evolutionary process of diacids and related compounds from field observations. Results demonstrate that more aged organic aerosols are observed during the LCD due to the enhanced photochemical oxidation. Our study also found that the reactivity of 13C was higher than that of 12C in the gaseous photochemical oxidation, leading to higher δ13C values of C2 during the LCD than before the LCD.
Christopher J. Hennigan, Michael McKee, Vikram Pratap, Bryanna Boegner, Jasper Reno, Lucia Garcia, Madison McLaren, and Sara M. Lance
Atmos. Chem. Phys., 23, 14437–14449, https://doi.org/10.5194/acp-23-14437-2023, https://doi.org/10.5194/acp-23-14437-2023, 2023
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This study characterized the optical properties of light-absorbing organic compounds, called brown carbon (BrC), in atmospheric cloud water samples. In all samples, light absorption by BrC increased linearly with increasing pH. There was variability in the sensitivity of the absorption–pH relationship, depending on the degree of influence from fire emissions. Overall, these results show that the climate forcing of BrC is quite strongly affected by its pH-dependent absorption.
Máté Vörösmarty, Gaëlle Uzu, Jean-Luc Jaffrezo, Pamela Dominutti, Zsófia Kertész, Enikő Papp, and Imre Salma
Atmos. Chem. Phys., 23, 14255–14269, https://doi.org/10.5194/acp-23-14255-2023, https://doi.org/10.5194/acp-23-14255-2023, 2023
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Poor air quality caused by high concentrations of particulate matter is one of the most severe public health concerns for humans worldwide. One of the most important biological mechanisms inducing adverse health effects is the oxidant–antioxidant imbalance. We showed that the oxidative stress changed substantially and in a complex manner with location and season. Biomass burning exhibited the dominant influence, while motor vehicles played an important role in the non-heating period.
Jiao Xue, Tian Zhang, Keyhong Park, Jinpei Yan, Young Jun Yoon, Jiyeon Park, and Bingbing Wang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2646, https://doi.org/10.5194/egusphere-2023-2646, 2023
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Ice formation by aerosol particles is an important way of making mixed-phase and ice clouds. Here, we showed that particles collected in the marine atmosphere with different composition and mixing state show a variety of ice nucleation abilities. Characterization of ice nucleating particles indicates that aging process may impact on their abilities to form ice. Comprehensive characterizations of particles and their mixing state are needed for better understanding in aerosol-cloud interactions.
Cited articles
Alexander, B., Sherwen, T., Holmes, C. D., Fisher, J. A., Chen, Q., Evans, M. J., and Kasibhatla, P.:
Global inorganic nitrate production mechanisms: comparison of a global model with nitrate isotope observations, Atmos. Chem. Phys., 20, 3859–3877, https://doi.org/10.5194/acp-20-3859-2020, 2020.
Begum, B. A., Biswas, S. K., and Hopke, P. K.:
Key issues in controlling air pollutants in Dhaka, Bangladesh, Atmos. Environ., 45, 7705–7713, https://doi.org/10.1016/j.atmosenv.2010.10.022, 2011.
Beloconi, A., Probst-Hensch, N. M., and Vounatsou, P.:
Spatio-temporal modelling of changes in air pollution exposure associated to the COVID-19 lockdown measures across Europe, Sci. Total Environ., 787, 147607, https://doi.org/10.1016/j.scitotenv.2021.147607, 2021.
Bi, X., Dai, Q., Wu, J., Zhang, Q., Zhang, W., Luo, R., Cheng, Y., Zhang, J., Wang, L., Yu, Z., Zhang, Y., Tian, Y., and Feng, Y.:
Characteristics of the main primary source profiles of particulate matter across China from 1987 to 2017, Atmos. Chem. Phys., 19, 3223–3243, https://doi.org/10.5194/acp-19-3223-2019, 2019.
Bie, S. J., Yang, L. X., Zhang, Y., Huang, Q., Li, J. S., Zhao, T., Zhang, X. F., Wang, P. C., and Wang, W. X.:
Source appointment of PM2.5 in Qingdao Port, East of China, Sci. Total Environ., 755, 142456, https://doi.org/10.1016/j.scitotenv.2020.142456, 2021.
Bove, M. C., Brotto, P., Calzolai, G., Cassola, F., Cavalli, F., Fermo, P., Hjorth, J., Massabò, D., Nava, S., Piazzalunga, A., Schembari, C., and Prati, P.:
PM10 source apportionment applying PMF and chemical tracer analysis to ship-borne measurements in the Western Mediterranean, Atmos. Environ., 125, 140–151, https://doi.org/10.1016/j.atmosenv.2015.11.009, 2016.
Brown, S. G., Eberly, S., Paatero, P., and Norris, G. A.:
Methods for estimating uncertainty in PMF solutions: Examples with ambient air and water quality data and guidance on reporting PMF results, Sci. Total Environ., 518, 626–635, https://doi.org/10.1016/j.scitotenv.2015.01.022, 2015.
Carslaw, D. C.:
Worldmet: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD), http://github.com/davidcarslaw/ (last access: 5 September 2018), 2017.
Chen, J. Y., Shan, M., Xia, J. J., and Jiang, Y.:
Effects of space heating on the pollutant emission intensities in “2 + 26” cities, Building Environ., 175, 106817, https://doi.org/10.1016/j.buildenv.2020.106817, 2020.
Chen, Y., Zhang, S. M., Peng, C., Shi, G. M., Tian, M., Huang, R. J., Guo, D. M., Wang, H. B., Yao, X. J., and Yang, F. M.:
Impact of the COVID-19 pandemic and control measures on air quality and aerosol light absorption in Southwestern China, Sci. Total Environ., 749, 141419, https://doi.org/10.1016/j.scitotenv.2020.141419, 2020.
Chen, X., Wang, H., Lu, K., Li, C., Zhai, T., Tan, Z., Ma, X., Yang, X., Liu, Y., Chen, S., Dong, H., Li, X., Wu, Z., Hu, M., Zeng, L., and Zhang, Y.:
Field Determination of Nitrate Formation Pathway in Winter Beijing, Environ. Sci. Technol., 54, 9243–9253, https://doi.org/10.1021/acs.est.0c00972, 2020.
Cheng, N. L., Cheng, B. F., Li, S. S., and Ning, T. Z.:
Effects of meteorology and emission reduction measures on air pollution in Beijing during heating seasons, Atmos. Pollut. Res., 10, 971–979, https://doi.org/10.1016/j.apr.2019.01.005, 2019.
Choi, J.-K., Heo, J.-B., Ban, S.-J., Yi, S.-M., and Zoh, K.-D.:
Source apportionment of PM2.5 at the coastal area in Korea, Sci. Total Environ., 447, 370–380, https://doi.org/10.1016/j.scitotenv.2012.12.047, 2013.
Chu, B. W., Zhang, S. P., Liu, J., Ma, Q. X., and He, H.:
Significant concurrent decrease in PM2.5 and NO2 concentrations in China during COVID-19 epidemic, J. Environ. Sci., 99, 346–353, https://doi.org/10.1016/j.jes.2020.06.031, 2021.
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., Feigin, V., Freedman, G., Hubbell, B., Jobling, A., Kan, H., Knibbs, L., Liu, Y., Martin, R., Morawska, L., Pope, C. A., Shin, H., Straif, K., Shaddick, G., Thomas, M., van Dingenen, R., van Donkelaar, A., Vos, T., Murray, C. J. L., and Forouzanfar, M. H.:
Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015, Lancet, 389, 1907–1918, https://doi.org/10.1016/S0140-6736(17)30505-6, 2017.
Collivignarelli, M. C., De Rose, C., Abbà, A., Baldi, M., Bertanza, G., Pedrazzani, R., Sorlini, S., and Carnevale Miino, M.:
Analysis of lockdown for COVID-19 impact on NO2 in London, Milan and Paris: What lesson can be learnt?, Process Saf. Environ., 146, 952–960, https://doi.org/10.1016/j.psep.2020.12.029, 2021.
Cucciniello, R., Raia, L., and Vasca, E.:
Air quality evaluation during COVID-19 in Southern Italy: the case study of Avellino city, Environ. Res., 203, 111803, https://doi.org/10.1016/j.envres.2021.111803, 2022.
Dall'Osto, M., Booth, M. J., Smith, W., Fisher, R., and Harrison, R. M.:
A study of the size distributions and the chemical characterization of airborne particles in the vicinity of a large integrated steelworks, Aerosol Sci. Technol., 42, 981–991, https://doi.org/10.1080/02786820802339587, 2008.
Dai, Q. L., Liu, B. S., Bi, X. H., Wu, J. H., Liang, D. N., Zhang, Y. F., Feng, Y. C., and Hopke, P. K.:
Dispersion Normalized PMF Provides Insights into the Significant Changes in Source Contributions to PM2.5 after the COVID-19 Outbreak, Environ. Sci. Technol., 54, 9917–9927, https://doi.org/10.1021/acs.est.0c02776, 2020.
Dai, Q. L., Ding, J., Hou, L. L., Li, L. X., Cai, Z. Y., Liu, B. S., Song, C. B., Bi, X. H., Wu, J. H., Zhang, Y. F., Feng, Y. C., and Hopke, P. K.:
Haze episodes before and during the COVID-19 shutdown in Tianjin, China: Contribution of fireworks and residential burning, Environ. Pollut., 286, 117252, https://doi.org/10.1016/j.envpol.2021.117252, 2021.
Ding, J., Dai, Q. L., Li, Y. F., Han, S. Q., Zhang, Y. F., and Feng, Y. C.:
Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown, J. Environ. Sci., 109, 45–56, https://doi.org/10.1016/j.jes.2021.02.022, 2021.
Esmaeilirad, S., Lai, A., Abbaszade, G., Schnelle-Kreis, J., Zimmermann, R., Uzu, G., Daellenbach, K., Canonaco, F., Hassankhany, H., Arhami, M., Baltensperger, U., Prévôt, A. S. H., Schauer, J. J., Jaffrezo, J.-L., Hosseini, V., and El Haddad, I.:
Source apportionment of fine particulate matter in a Middle Eastern Metropolis, Tehran-Iran, using PMF with organic and inorganic markers, Sci. Total Environ., 705, 135330, https://doi.org/10.1016/j.scitotenv.2019.135330, 2020.
Fan, H., Zhao, C. F., and Yang, Y. K.:
A comprehensive analysis of the spatio-temporal variation of urban air pollution in China during 2014–2018, Atmos. Environ., 220, 117066, https://doi.org/10.1016/j.atmosenv.2019.117066, 2020.
Fu, X., Wang, T., Gao, J., Wang, P., Liu, Y. M., Wang, S. X., Zhao, B., and Xue, L. K.:
Persistent Heavy Winter Nitrate Pollution Driven by Increased Photochemical Oxidants in Northern China, Environ. Sci. Technol., 54, 3881–3889, https://doi.org/10.1021/acs.est.9b07248, 2020.
Gao, J., Peng, X., Chen, G., Xu, J., Shi, G. L., Zhang, Y. C., and Feng, Y. C.:
Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution, Sci. Total Environ., 542, 162–171, https://doi.org/10.1016/j.scitotenv.2015.10.082, 2016.
Gao, Y., Shan, H. Y., Zhang, S. Q., Sheng, L. F., Li, J. P., Zhang, J. X., Ma, M. C., Meng, H., Luo, K., Gao, H. W., and Yao, X. H.:
Characteristics and sources of PM2.5 with focus on two severe pollution events in a coastal city of Qingdao, China, Chemosphere, 247, 125861, https://doi.org/10.1016/j.chemosphere.2020.125861, 2020.
Grange, S. K. and Carslaw, D. C.:
Using meteorological normalization to detect interventions in air quality time series, Sci. Total Environ., 653, 578–588, https://doi.org/10.1016/j.scitotenv.2018.10.344, 2019.
Grange, S. K., Carslaw, D. C., Lewis, A. C., Boleti, E., and Hueglin, C.:
Random forest meteorological normalisation models for Swiss PM10 trend analysis, Atmos. Chem. Phys., 18, 6223–6239, https://doi.org/10.5194/acp-18-6223-2018, 2018.
Gong, S. L., Zhang, L., Liu, C., Lu, S. H., Pan, W. J., and Zhang, Y. H.:
Multi-scale analysis of the impacts of meteorology and emissions on PM2.5 and O3 trends at various regions in China from 2013 to 2020 2. Key weather elements and emissions, Sci. Total Environ., 824, 153847, https://doi.org/10.1016/j.scitotenv.2022.153847, 2022.
Gulia, S., Mittal, A., and Khare, M.:
Quantitative evaluation of source interventions for urban air quality improvement – A case study of Delhi city, Atmos. Pollut. Res., 9, 577–583, https://doi.org/10.1016/j.apr.2017.12.003, 2018.
He, G. J., Pan, Y. H., and Tanaka, T.:
The short-term impacts of COVID-19 lockdown on urban air pollution in China, Nat. Sustainability, 3, 1005–1011, https://doi.org/10.1038/s41893-020-0581-y, 2020.
Hong, Y. W., Xu, X. B., Liao, D., Zheng, R. H., Ji, X. T., Chen, Y. T., Xu, L. L., Li, M. R., Wang, H., Xiao, H., Choi, S. D., and Chen, J. S.:
Source apportionment of PM2.5 and sulfate formation during the COVID-19 lockdown in a coastal city of southeast China, Environ. Pollut., 286, 117577, https://doi.org/10.1016/j.envpol.2021.117577, 2021.
Hopke, P. K., Dai, Q. L., Li, L. X., and Feng, Y. C.:
Global review of recent source apportionments for airborne particulate matter, Sci. Total Environ., 740, 140091, https://doi.org/10.1016/j.scitotenv.2020.140091, 2020.
Hou, L. L., Dai, Q. L., Song, C. B., Liu, B., Guo, F. Z., Dai, T. J., Li, L. X., Liu, B. S., Bi, X. H., Zhang, Y. F., and Feng, Y. C.:
Revealing drivers of haze pollution by explainable machine learning, Environ. Sci. Tech. Let., 9, 112–119, https://doi.org/10.1021/acs.estlett.1c00865, 2022.
Huang, H. Y., Liu, B. S., Li, S., Choe, T.-H., Dai, Q. L., Gu, Y., Diao, L. L., Zhang, S. F., Bi, X. H., Luo, Z. W., Lu, M. M., Zhang, Y. F., and Feng, Y. C.:
An estimation method for regional transport contributions from emission sources based on a high-mountain site: a case study in Zhumadian, China, Atmos. Environ., 263, 118664, https://doi.org/10.1016/j.atmosenv.2021.118664, 2021.
Huang, J., Pan, X. C., Guo, X. B., and Li, G. X.:
2018. Health impact of China's Air Pollution Prevention and Control Action Plan: an analysis of national air quality monitoring and mortality data, Lancet Planetary Health, 2, e313–e323, https://doi.org/10.1016/S2542-5196(18)30141-4, 2018.
Huang, R. J., Zhang, Y. L., Bozzetti, C., Ho, K. F., Cao, J. J., Han, Y. M., 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. S., Szidat, S., Baltensperger, U., El Haddad, I., and Prevot, A. S. H.:
High secondary aerosol contribution to particulate pollution during haze events in China, Nature, 514, 218–222, https://doi.org/10.1038/nature13774, 2014.
Huang, X., Liu, Z., Liu, J., Hu, B., Wen, T., Tang, G., Zhang, J., Wu, F., Ji, D., Wang, L., and Wang, Y.:
Chemical characterization and source identification of PM2.5 at multiple sites in the Beijing–Tianjin–Hebei region, China, Atmos. Chem. Phys., 17, 12941–12962, https://doi.org/10.5194/acp-17-12941-2017, 2017.
Iyer, U. S. and Raj, P. E.:
Ventilation coefficient trends in the recent decades over four major Indian metropolitan cities, J. Earth Syst. Sci., 122, 537–549, https://doi.org/10.1007/s12040-013-0270-6, 2013.
Jain, S., Sharma, S. K., Mandal, T. K., and Saxena, M.:
Source apportionment of PM10 in Delhi, India using PCA/APCS, UNMIX and PMF, Particuology, 37, 107–118, https://doi.org/10.1016/j.partic.2017.05.009, 2018.
Jain, S., Sharma, S. K., Vijayan, N., and Mandal, T. K.:
Seasonal characteristics of aerosols (PM2.5 and PM10) and their source apportionment using PMF: A four year study over Delhi, India, Environ. Pollut., 262, 114337, https://doi.org/10.1016/j.envpol.2020.114337, 2020.
Jiang, X., Li, G. L., and Fu, W.:
Government environmental governance, structural adjustment and air quality: A quasi-natural experiment based on the Three-year Action Plan to Win the Blue Sky Defense War, J. Environ. Manage., 277, 111470, https://doi.org/10.1016/j.jenvman.2020.111470, 2021.
Joshi, P., Ghosh, S., Dey, S., Dixit, K., Choudhary, R. K., Salve, H. R., and Balakrishnan, K.:
Impact of acute exposure to ambient PM2.5 on non-trauma all-cause mortality in the megacity Delhi, Atmos. Environ., 259, 118548, https://doi.org/10.1016/j.atmosenv.2021.118548, 2021.
Kleinman, M. T., Kneip, T. J., and Eisenbud, M.:
Seasonal patterns of airborne particulate concentrations in New York City, Atmos. Environ. (1967), 10, 9–11, https://doi.org/10.1016/0004-6981(76)90252-3, 1976.
Kuo, S.-C., Hsieh, L.-Y., Tsai, C.-H., and Tsai, Y. I.:
Characterization of PM2.5 fugitive metal in the workplaces and the surrounding environment of a secondary aluminum smelter, Atmos. Environ., 41, 6884–6900, https://doi.org/10.1016/j.atmosenv.2007.04.038, 2007.
Le, T. H., Wang, Y., Liu, L., Yang, J. N., Yung, Y. L., Li, G. H., and Seinfeld, J. H.:
Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China, Science, 369, 702, https://doi.org/10.1126/science.abb7431, 2020.
Li, H., You, S. J., Zhang, H., Zheng, W. D., and Zou, L. J.:
Analysis of the impacts of heating emissions on the environment and human health in North China, J. Clean Prod., 207, 728–742, https://doi.org/10.1016/j.jclepro.2018.10.013, 2019.
Li, K., Jacob, D. J., Liao, H., Zhu, J., Shah, V., Shen, L., Bates, K. H., Zhang, Q., and Zhai, S. X.:
A two-pollutant strategy for improving ozone and particulate air quality in China, Nat. Geosci., 12, 906–910, https://doi.org/10.1038/s41561-019-0464-x, 2019.
Li, K., Jacob, D. J., Shen, L., Lu, X., De Smedt, I., and Liao, H.:
Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences, Atmos. Chem. Phys., 20, 11423–11433, https://doi.org/10.5194/acp-20-11423-2020, 2020.
Li, L. Y., Yan, D. Y., Xu, S. H., Huang, M. L., Wang, X. X., and Xie, S. D.:
Characteristics and source distribution of air pollution in winter in Qingdao, eastern China, Environ. Pollut., 224, 44–53, https://doi.org/10.1016/j.envpol.2016.12.037, 2017.
Li, W. J., Shao, L. Y., Wang, W. H., Li, H., Wang, X. M., Li, Y. W., Li, W. J., Jones, T., and Zhang, D. Z.:
Air quality improvement in response to intensified control strategies in Beijing during 2013–2019, Sci. Total Environ., 744, 140776, https://doi.org/10.1016/j.scitotenv.2020.140776, 2020.
Li, Y., Miao, Y. C., Che, H. Z., and Liu, S. H.:
On the heavy aerosol pollution and its meteorological dependence in Shandong province, China, Atmos. Res., 256, 105572, https://doi.org/10.1016/j.atmosres.2021.105572, 2021a.
Li, Y., Xu, H. X., Tang, K. Y., Lau, A. K. H., Fung, J. C. H., and Zhang, X. G.:
An ensemble assessment of the effectiveness of vehicular emission control programs for air quality improvement in Hong Kong, Atmos. Environ., 262, 118571, https://doi.org/10.1016/j.atmosenv.2021.118571, 2021b.
Liang, X., Li, S., Zhang, S. Y., Huang, H., and Chen, S. X.:
PM2.5 data reliability, consistency, and air quality assessment in five Chinese cities, J. Geophys. Res.-Atmos., 121, 10220–10236, https://doi.org/10.1002/2016JD024877, 2016.
Liu, B. S., Song, N., Dai, Q. L., Mei, R. B., Sui, B. H., Bi, X. H., and Feng, Y. C.:
Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China, Atmos. Res., 170, 23–33, https://doi.org/10.1016/j.atmosres.2015.11.002, 2016.
Liu, B., Cheng, Y., Zhou, M., Liang, D., Dai, Q., Wang, L., Jin, W., Zhang, L., Ren, Y., Zhou, J., Dai, C., Xu, J., Wang, J., Feng, Y., and Zhang, Y.:
Effectiveness evaluation of temporary emission control action in 2016 in winter in Shijiazhuang, China, Atmos. Chem. Phys., 18, 7019–7039, https://doi.org/10.5194/acp-18-7019-2018, 2018.
Liu, B. S., Wu, J. H., Wang, J., Shi, L. Y., Meng, H., Dai, Q. L., Wang, J., Song, C. B., Zhang, Y. F., Feng, Y. C., and Hopke, P. K.:
Chemical characteristics and sources of ambient PM2.5 in a harbor area: Quantification of health risks to workers from source-specific selected toxic elements, Environ. Pollut., 268, 115926, https://doi.org/10.1016/j.envpol.2020.115926, 2021.
Liu, C., Xu, R., Zhang, T. H., Zhang, H. D., Zhang, B. H., Cong, C. H., and Wu, J. Y.:
Analysis of Ozone Pollution Characteristics and Its Sources During the Shanghai Cooperation Organization Summit in Qingdao, Meteor. Environ. Sci., 43, 51–58, https://doi.org/10.16765/j.cnki.1673-7148.2020.03.007, 2020a (in Chinese).
Liu, C., Zhang, H. D., Zhang, T. H., Xu, R., Zhang, B. H., Lu, M. Y., and Li, G. H.:
The causes of ozone concentration growth in the night during the “Shanghai Cooperation Organization Summit” in Qingdao, China Environ. Sci., 40, 3332–3341, https://doi.org/10.19674/j.cnki.issn1000-6923.2020.0372, 2020b (in Chinese).
Liu, F., Beirle, S., Zhang, Q., van der A, R. J., Zheng, B., Tong, D., and He, K.:
NOx emission trends over Chinese cities estimated from OMI observations during 2005 to 2015, Atmos. Chem. Phys., 17, 9261–9275, https://doi.org/10.5194/acp-17-9261-2017, 2017.
Liu, M., Huang, Y., Ma, Z., Jin, Z., Liu, X., Wang, H., Liu, Y., Wang, J., Jantunen, M., Bi, J. and Kinney, P. L.:
Spatial and temporal trends in the mortality burden of air pollution in China: 2004–2012, Environ. Int., 98, 75–81, https://doi.org/10.1016/j.envint.2016.10.003, 2017.
Liu, W. J., Xu, Y. S., Liu, W. X., Liu, Q. Y., Yu, S. Y., Liu, Y., Wang, X., and Tao, S.:
Oxidative potential of ambient PM2.5 in the coastal cities of the Bohai Sea, northern China: Seasonal variation and source apportionment, Environ. Pollut., 236, 514–528, https://doi.org/10.1016/j.envpol.2018.01.116, 2018.
Lyu, X. P., Zeng, L. W., Guo, H., Simpson, I. J., Ling, Z. H., Wang, Y., Murray, F., Louie, P. K. K., Saunders, S. M., Lam, S. H. M., and Blake, D. R.:
Evaluation of the effectiveness of air pollution control measures in Hong Kong, Environ. Pollut., 220, 87–94, https://doi.org/10.1016/j.envpol.2016.09.025, 2017.
Ma, X. W., Li, C. D., Dong, X. Y., and Liao, H.:
Empirical analysis on the effectiveness of air quality control measures during mega events: Evidence from Beijing, China, J. Clean Prod., 271, 122536, https://doi.org/10.1016/j.jclepro.2020.122536, 2020.
Ma, X., Huang, J., Zhao, T., Liu, C., Zhao, K., Xing, J., and Xiao, W.:
Rapid increase in summer surface ozone over the North China Plain during 2013–2019: a side effect of particulate matter reduction control?, Atmos. Chem. Phys., 21, 1–16, https://doi.org/10.5194/acp-21-1-2021, 2021.
Masiol, M., Squizzato, S., Rich, D. Q., and Hopke, P. K.:
Long-term trends (2005–2016) of source apportioned PM2.5 across New York State, Atmos. Environ., 201, 110–120, https://doi.org/10.1016/j.atmosenv.2018.12.038, 2019.
Meng, Z. Y., Ding, G. A., Xu, X. B., Xu, X. D., Yu, H. Q., and Wang, S. F.:
Vertical distributions of SO2 and NO2 in the lower atmosphere in Beijing urban areas, China, Sci. Total Environ., 390, 456–465, https://doi.org/10.1016/j.scitotenv.2007.10.012, 2008.
Munir, S., Chen, H. B., and Ropkins, K.:
Quantifying temporal trends in ground level ozone concentration in the UK, Sci. Total Environ., 458–460, 217–227, https://doi.org/10.1016/j.scitotenv.2013.04.045, 2013.
Nøjgaard, J. K., Nguyen, Q. T., Glasius, M., and Sørensen, L. L.:
Nucleation and Aitken mode atmospheric particles in relation to O3 and NOx at semirural background in Denmark, Atmos. Environ., 49, 275–283, https://doi.org/10.1016/j.atmosenv.2011.11.040, 2012.
Nirel, R. and Dayan, U.:
On the Ratio of Sulfur Dioxide to Nitrogen Oxides as an Indicator of Air Pollution Sources, J. Appl. Meteorol., 40, 1209–1222, https://doi.org/10.1175/1520-0450(2001)040<1209:OTROSD>2.0.CO;2, 2001.
Paatero, P. and Tapper, U.:
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values, Environmetrics, 5, 111–126, https://doi.org/10.1002/env.3170050203, 1994.
Police, S., Sahu, S. K., and Pandit, G. G.:
Chemical characterization of atmospheric particulate matter and their source apportionment at an emerging industrial coastal city, Visakhapatnam, India, Atmos. Pollut. Res., 7, 725–733, https://doi.org/10.1016/j.apr.2016.03.007, 2016.
Pugliese, S. C., Murphy, J. G., Geddes, J. A., and Wang, J. M.:
The impacts of precursor reduction and meteorology on ground-level ozone in the Greater Toronto Area, Atmos. Chem. Phys., 14, 8197–8207, https://doi.org/10.5194/acp-14-8197-2014, 2014.
Qi, L., Zhang, Y. F., Ma, Y. H., Chen, M. D., Ge, X. L., Ma, Y., Zheng, J., Wang, Z., and Li, S. Z.:
Source identification of trace elements in the atmosphere during the second Asian Youth Games in Nanjing, China: Influence of control measures on air quality, Atmos. Pollut. Res., 7, 547–556, https://doi.org/10.1016/j.apr.2016.01.003, 2016.
Querol, X., Viana, M., Alastuey, A., Amato, F., Moreno, T., Castillo, S., Pey, J., de la Rosa, J., Sánchez de la Campa, A., Artíñano, B., Salvador, P., García Dos Santos, S., Fernández-Patier, R., Moreno-Grau, S., Negral, L., Minguillón, M. C., Monfort, E., Gil, J. I., Inza, A., Ortega, L. A., Santamaría, J. M., and Zabalza, J.:
Source origin of trace elements in PM from regional background, urban and industrial sites of Spain, Atmos. Environ., 41, 7219–7231, https://doi.org/10.1016/j.atmosenv.2007.05.022, 2007.
Ryou, H. G., Heo, J., and Kim, S. Y.:
Source apportionment of PM10 and PM2.5 air pollution, and possible impacts of study characteristics in South Korea, Environ. Pollut., 240, 963–972, https://doi.org/10.1016/j.envpol.2018.03.066, 2018.
Sen, P. K.:
Estimates of the Regression Coefficient Based on Kendall's Tau AU – Sen, Pranab Kumar, J. Am. Stat. Assoc., 63, 1379–1389, https://doi.org/10.1080/01621459.1968.10480934, 1968.
Schleicher, N., Norra, S., Chen, Y., Chai, F., and Wang, S.:
Efficiency of mitigation measures to reduce particulate air pollution—A case study during the Olympic Summer Games 2008 in Beijing, China, Sci. Total Environ., 427–428, 146–158, https://doi.org/10.1016/j.scitotenv.2012.04.004, 2012.
Shi, Z. B., Song, C. B., Liu, B. W., Lu, G. D., Xu, J. S., Vu, T. V., Elliott, R. J. R., Li, W. J., Bloss, W. J., and Harrison, R. M.:
Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns, Sci Adv., 7, eabd6696, https://doi.org/10.1126/sciadv.abd6696, 2021.
Song, L. L., Dai, Q. L., Feng, Y. C., and Hopke, P. K.:
Estimating uncertainties of source contributions to PM2.5 using moving window evolving dispersion normalized PMF, Environ. Pollut., 286, 117576, https://doi.org/10.1016/j.envpol.2021.117576, 2021.
Tian, Y. Z., Wang, J., Peng, X., Shi, G. L., and Feng, Y. C.:
Estimation of the direct and indirect impacts of fireworks on the physicochemical characteristics of atmospheric PM10 and PM2.5, Atmos. Chem. Phys., 14, 9469–9479, https://doi.org/10.5194/acp-14-9469-2014, 2014.
Tsai, D. H., Wang, J. L., Chuang, K. J., and Chan, C. C.:
Traffic-related air pollution and cardiovascular mortality in central Taiwan, Sci. Total Environ., 408, 1818–1823, https://doi.org/10.1016/j.scitotenv.2010.01.044, 2010.
Viana, M., Kuhlbusch, T. A. J., Querol, X., Alastuey, A., Harrison, R. M., Hopke, P. K., Winiwarter, W., Vallius, M., Szidat, S., Prévôt, A. S. H., Hueglin, C., Bloemen, H., Wåhlin, P., Vecchi, R., Miranda, A. I., Kasper-Giebl, A., Maenhaut, W., and Hitzenberger, R.:
Source apportionment of particulate matter in Europe: A review of methods and results, J. Aerosol Sci., 39, 827–849, https://doi.org/10.1016/j.jaerosci.2008.05.007, 2008.
Vodonos, A. and Schwartz, J.:
Estimation of excess mortality due to long-term exposure to PM2.5 in continental United States using a high-spatiotemporal resolution model, Environ. Res., 196, 110904, https://doi.org/10.1016/j.envres.2021.110904, 2021.
Vu, T. V., Shi, Z., Cheng, J., Zhang, Q., He, K., Wang, S., and Harrison, R. M.:
Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique, Atmos. Chem. Phys., 19, 11303–11314, https://doi.org/10.5194/acp-19-11303-2019, 2019.
Wang, H. L., Miao, Q., Shen, L. J., Yang, Q., Wu, Y. Z., and Wei, H.:
Air pollutant variations in Suzhou during the 2019 novel coronavirus (COVID-19) lockdown of 2020: High time-resolution measurements of aerosol chemical compositions and source apportionment, Environ. Pollut., 271, 116298, https://doi.org/10.1016/j.envpol.2020.116298, 2021.
Wang, S. X., Xing, J., Zhao, B., Jang, C., and Hao, J. M.:
Effectiveness of national air pollution control policies on the air quality in metropolitan areas of China, J. Environ. Sci., 26, 13–22, https://doi.org/10.1016/S1001-0742(13)60381-2, 2014.
Wang, Y., Xue, Y. F., Tian, H. Z., Gao, J., Chen, Y., Zhu, C. Y., Liu, H. J., Wang, K., Hua, S. B., Liu, S. H., and Shao, P. Y.:
Effectiveness of temporary control measures for lowering PM2.5 pollution in Beijing and the implications, Atmos. Environ., 157, 75–83, https://doi.org/10.1016/j.atmosenv.2017.03.017, 2017.
Wang, Y. Q., Zhang, X. Y., and Draxler, R.:
TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data, Environ. Model. Softw., 24, 938–939, https://doi.org/10.1016/j.envsoft.2009.01.004, 2009.
Wang, Y. Y., Liu, B. S., Zhang, Y. F., Dai, Q. L., Song, C. B., Duan, L. Q., Guo, L. L., Zhao, J., Xue, Z. G., Bi, X. H., and Feng, Y. C.:
Potential health risks of inhaled toxic elements and risk sources during different COVID-19 lockdown stages in Linfen, China, Environ. Pollut., 284, 117454, https://doi.org/10.1016/j.envpol.2021.117454, 2021.
Xu, H., Xiao, Z. M., Chen, K., Tang, M., Zheng, N. Y., Li, P., Yang, N., Yang, W., and Deng, X. W.:
Spatial and temporal distribution, chemical characteristics, and sources of ambient particulate matter in the Beijing–Tianjin–Hebei region, Sci. Total Environ., 658, 280–293, https://doi.org/10.1016/j.scitotenv.2018.12.164, 2019.
Xu, L. L., Jiao, L., Hong, Z. Y., Zhang, Y. R., Du, W. J., Wu, X., Chen, Y. T., Deng, J. J., Hong, Y. W., and Chen, J. S.:
Source identification of PM2.5 at a port and an adjacent urban site in a coastal city of China: Impact of ship emissions and port activities, Sci. Total Environ., 634, 1205–1213, https://doi.org/10.1016/j.scitotenv.2018.04.087, 2018.
Xu, M., Qin, Z. F., Zhang, S. H., and Xie, Y.:
Health and economic benefits of clean air policies in China: A case study for Beijing–Tianjin–Hebei region, Environ. Pollut., 285, 117525, https://doi.org/10.1016/j.envpol.2021.117525, 2021.
Xu, W., Liu, X. J., Liu, L., Dore, A. J., Tang, A., Lu, L., Wu, Q. H., Zhang, Y. Y., Hao, T. X., Pan, Y. P., Chen, J. M., and Zhang, F. S.:
Impact of emission controls on air quality in Beijing during APEC 2014: Implications from water-soluble ions and carbonaceous aerosol in PM2.5 and their precursors, Atmos. Environ., 210, 241–252, https://doi.org/10.1016/j.atmosenv.2019.04.050, 2019.
Yin, H., Liu, C., Hu, Q. H., Liu, T., Wang, S., Gao, M., Xu, S. Q., Zhang, C. X., and Su, W. J.:
Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China, Environ. Pollut., 289, 117899, https://doi.org/10.1016/j.envpol.2021.117899, 2021.
Yang, S., Duan, F., Ma, Y., Li, H., Ma, T., Zhu, L., Huang, T., Kimoto, T., and He, K.:
Mixed and intensive haze pollution during the transition period between autumn and winter in Beijing, China, Sci. Total Environ., 711, 134745, https://doi.org/10.1016/j.scitotenv.2019.134745, 2020.
Yu, M. F., Zhu, Y., Lin, C. J., Wang, S. X., Xing, J., Jang, C., Huang, J. Z., Huang, J. Y., Jin, J. B., and Yu, L.:
Effects of air pollution control measures on air quality improvement in Guangzhou, China, J. Environ. Manage., 244, 127–137, https://doi.org/10.1016/j.jenvman.2019.05.046, 2019.
Zhai, S., Jacob, D. J., Wang, X., Shen, L., Li, K., Zhang, Y., Gui, K., Zhao, T., and Liao, H.:
Fine particulate matter (PM2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology, Atmos. Chem. Phys., 19, 11031–11041, https://doi.org/10.5194/acp-19-11031-2019, 2019.
Zhang, D. Z., Shi, G. Y., Iwasaka, Y., Hu, M., and Zang, J. Y.:
Anthropogenic Calcium Particles Observed in Beijing and Qingdao, China, Water Air Soil Poll.:
Focus, 5, 261–276, https://doi.org/10.1007/s11267-005-0743-y, 2005.
Zhang, Q., He, K. B., and Huo, H.:
Cleaning China's air, Nature, 484, 161–162, https://doi.org/10.1038/484161a, 2012.
Zhang, Q., Zheng, Y. X., Tong, D., Shao, M., Wang, S. X., Zhang, Y. H., Xu, X. D., Wang, J. N., He, H., Liu, W. Q., Ding, Y. H., Lei, Y., Li, J. H., Wang, Z. F., Zhang, X. Y., Wang, Y. S., Cheng, J., Liu, Y., Shi, Q. R., Yan, L., Geng, G. N., Hong, C. P., Li, M., Liu, F., Zheng, B., Cao, J. J., Ding, A. J., Gao, J., Fu, Q. Y., Huo, J. T., Liu, B. X., Liu, Z. R., Yang, F. M., He, K. B., and Hao, J. M.:
Drivers of improved PM2.5 air quality in China from 2013 to 2017, P. Natl. Acad. Sci USA, 116, 24463–24469, https://doi.org/10.1073/pnas.1907956116, 2019.
Zhang, Y., Yang, L. X., Bie, S. J., Zhao, T., Huang, Q., Li, J. S., Wang, P. C., Wang, Y. M., and Wang, W. X.:
Chemical compositions and the impact of sea salt in atmospheric PM1 and PM2.5 in the coastal area, Atmos. Res., 250, 105323, https://doi.org/10.1016/j.atmosres.2020.105323, 2021.
Zhao, C. K., Sun, Y., Zhong, Y. P., Xu, S. H., Liang, Y., Liu, S., He, X. D., Zhu, J. H., Shibamoto, T., and He, M.:
Spatio-temporal analysis of urban air pollutants throughout China during 2014–2019, Air Qual. Atmos. Hlth., 14, 1619–1632, https://doi.org/10.1007/s11869-021-01043-5, 2021.
Zhao, S., Tian, H. Z., Luo, L. N., Liu, H. J., Wu, B. B., Liu, S. H., Bai, X. X., Liu, W., Liu, X. Y., Wu, Y. M., Lin, S. M., Guo, Z. H., Lv, Y. Q., and Xue, Y. F.:
Temporal variation characteristics and source apportionment of metal elements in PM2.5 in urban Beijing during 2018–2019, Environ. Pollut., 268, 115856, https://doi.org/10.1016/j.envpol.2020.115856, 2021.
Zong, Z., Wang, X. P., Tian, C. G., Chen, Y. J., Fu, S. F., Qu, L., Ji, L., Li, J., and Zhang, G.:
PMF and PSCF based source apportionment of PM2.5 at a regional background site in North China, Atmos. Res., 203, 207–215, https://doi.org/10.1016/j.atmosres.2017.12.013, 2018.
Short summary
Understanding effectiveness of air pollution regulatory measures is critical for control policy. Machine learning and dispersion-normalized approaches were applied to decouple meteorologically deduced variations in Qingdao, China. Most pollutant concentrations decreased substantially after the Clean Air Action Plan. The largest emission reduction was from coal combustion and steel-related smelting. Qingdao is at risk of increased emissions from increased vehicular population and ozone pollution.
Understanding effectiveness of air pollution regulatory measures is critical for control policy....
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