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      Ozone pollution in the North China Plain spreading into the late-winter haze season

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          Significance

          The North China Plain experiences severe summer ozone pollution, but ozone during winter haze (particulate) pollution events has been very low. Here, we show that the abrupt decrease in nitrogen oxide (NO x) emissions following the COVID-19 lockdown in January 2020 drove fast ozone production during winter haze events to levels approaching the air quality standard. This fast ozone production was driven by formaldehyde originating from high emissions of volatile organic compounds (VOCs). The COVID-19 experience highlights a general 2013 to 2019 trend of rapidly increasing ozone pollution in winter–spring in China as NO x emissions have decreased. VOC emission controls would mitigate the spreading of ozone pollution into winter–spring with benefits for public health, crop production, and particulate pollution.

          Abstract

          Surface ozone is a severe air pollution problem in the North China Plain, which is home to 300 million people. Ozone concentrations are highest in summer, driven by fast photochemical production of hydrogen oxide radicals (HO x) that can overcome the radical titration caused by high emissions of nitrogen oxides (NO x) from fuel combustion. Ozone has been very low during winter haze (particulate) pollution episodes. However, the abrupt decrease of NO x emissions following the COVID-19 lockdown in January 2020 reveals a switch to fast ozone production during winter haze episodes with maximum daily 8-h average (MDA8) ozone concentrations of 60 to 70 parts per billion. We reproduce this switch with the GEOS-Chem model, where the fast production of ozone is driven by HO x radicals from photolysis of formaldehyde, overcoming radical titration from the decreased NO x emissions. Formaldehyde is produced by oxidation of reactive volatile organic compounds (VOCs), which have very high emissions in the North China Plain. This remarkable switch to an ozone-producing regime in January–February following the lockdown illustrates a more general tendency from 2013 to 2019 of increasing winter–spring ozone in the North China Plain and increasing association of high ozone with winter haze events, as pollution control efforts have targeted NO x emissions (30% decrease) while VOC emissions have remained constant. Decreasing VOC emissions would avoid further spreading of severe ozone pollution events into the winter–spring season.

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          Most cited references66

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          The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

          The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) is the latest atmospheric reanalysis of the modern satellite era produced by NASA’s Global Modeling and Assimilation Office (GMAO). MERRA-2 assimilates observation types not available to its predecessor, MERRA, and includes updates to the Goddard Earth Observing System (GEOS) model and analysis scheme so as to provide a viable ongoing climate analysis beyond MERRA’s terminus. While addressing known limitations of MERRA, MERRA-2 is also intended to be a development milestone for a future integrated Earth system analysis (IESA) currently under development at GMAO. This paper provides an overview of the MERRA-2 system and various performance metrics. Among the advances in MERRA-2 relevant to IESA are the assimilation of aerosol observations, several improvements to the representation of the stratosphere including ozone, and improved representations of cryospheric processes. Other improvements in the quality of MERRA-2 compared with MERRA include the reduction of some spurious trends and jumps related to changes in the observing system, and reduced biases and imbalances in aspects of the water cycle. Remaining deficiencies are also identified. Production of MERRA-2 began in June 2014 in four processing streams, and converged to a single near-real time stream in mid 2015. MERRA-2 products are accessible online through the NASA Goddard Earth Sciences Data Information Services Center (GES DISC).
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            High secondary aerosol contribution to particulate pollution during haze events in China.

            Rapid industrialization and urbanization in developing countries has led to an increase in air pollution, along a similar trajectory to that previously experienced by the developed nations. In China, particulate pollution is a serious environmental problem that is influencing air quality, regional and global climates, and human health. In response to the extremely severe and persistent haze pollution experienced by about 800 million people during the first quarter of 2013 (refs 4, 5), the Chinese State Council announced its aim to reduce concentrations of PM2.5 (particulate matter with an aerodynamic diameter less than 2.5 micrometres) by up to 25 per cent relative to 2012 levels by 2017 (ref. 6). Such efforts however require elucidation of the factors governing the abundance and composition of PM2.5, which remain poorly constrained in China. Here we combine a comprehensive set of novel and state-of-the-art offline analytical approaches and statistical techniques to investigate the chemical nature and sources of particulate matter at urban locations in Beijing, Shanghai, Guangzhou and Xi'an during January 2013. We find that the severe haze pollution event was driven to a large extent by secondary aerosol formation, which contributed 30-77 per cent and 44-71 per cent (average for all four cities) of PM2.5 and of organic aerosol, respectively. On average, the contribution of secondary organic aerosol (SOA) and secondary inorganic aerosol (SIA) are found to be of similar importance (SOA/SIA ratios range from 0.6 to 1.4). Our results suggest that, in addition to mitigating primary particulate emissions, reducing the emissions of secondary aerosol precursors from, for example, fossil fuel combustion and biomass burning is likely to be important for controlling China's PM2.5 levels and for reducing the environmental, economic and health impacts resulting from particulate pollution.
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              Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions

              Abstract. To tackle the problem of severe air pollution, China has implemented active clean air policies in recent years. As a consequence, the emissions of major air pollutants have decreased and the air quality has substantially improved. Here, we quantified China's anthropogenic emission trends from 2010 to 2017 and identified the major driving forces of these trends by using a combination of bottom-up emission inventory and index decomposition analysis (IDA) approaches. The relative change rates of China's anthropogenic emissions during 2010–2017 are estimated as follows: −62 % for SO 2 , −17 % for NO x , +11 % for nonmethane volatile organic compounds (NMVOCs), +1 % for NH 3 , −27 % for CO, −38 % for PM 10 , −35 % for PM 2.5 , −27 % for BC, −35 % for OC, and +16 % for CO 2 . The IDA results suggest that emission control measures are the main drivers of this reduction, in which the pollution controls on power plants and industries are the most effective mitigation measures. The emission reduction rates markedly accelerated after the year 2013, confirming the effectiveness of China's Clean Air Action that was implemented since 2013. We estimated that during 2013–2017, China's anthropogenic emissions decreased by 59 % for SO 2 , 21 % for NO x , 23 % for CO, 36 % for PM 10 , 33 % for PM 2.5 , 28 % for BC, and 32 % for OC. NMVOC emissions increased and NH 3 emissions remained stable during 2010–2017, representing the absence of effective mitigation measures for NMVOCs and NH 3 in current policies. The relative contributions of different sectors to emissions have significantly changed after several years' implementation of clean air policies, indicating that it is paramount to introduce new policies to enable further emission reductions in the future.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                09 March 2021
                01 March 2021
                01 March 2021
                : 118
                : 10
                : e2015797118
                Affiliations
                [1] aHarvard–NUIST Joint Laboratory for Air Quality and Climate, Nanjing University of Information Science and Technology , 210044 Nanjing, China;
                [2] bJohn A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, MA 02138;
                [3] cJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology , 210044 Nanjing, China;
                [4] dEnvironmental Meteorology Forecast Center of Beijing-Tianjin-Hebei , Beijing 100089, China;
                [5] eDepartment of Earth System Science, Tsinghua University , 100084 Beijing, China;
                [6] fInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University , Shenzhen 518055, China;
                [7] gKey Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences , Beijing 100029, China;
                [8] hSamsung Advance Institute of Technology , Suwon-si, Gyeonggi-do, 16678, Republic of Korea
                Author notes
                1To whom correspondence may be addressed. Email: djacob@ 123456fas.harvard.edu or hongliao@ 123456nuist.edu.cn .

                Edited by Guy P. Brasseur, Max Planck Institute for Meteorology, Hamburg, Germany, and accepted by Editorial Board Member Akkihebbal R. Ravishankara January 30, 2021 (received for review July 26, 2020)

                Author contributions: K.L. and D.J.J. designed research; K.L. performed research; Y.Q., L.S., S.Z., K.H.B., M.P.S., Q.Z., B.Z., Y.Z., J.Z., H.C.L., and S.K.K. contributed new data/analytic tools; K.L., H.L., Y.Q., S.S., and X.L. analyzed data; K.L., D.J.J., and H.L. wrote the paper; and all authors contributed to discussing and improving the paper.

                Author information
                https://orcid.org/0000-0002-9181-3562
                https://orcid.org/0000-0002-6373-3100
                https://orcid.org/0000-0002-2407-6566
                https://orcid.org/0000-0003-2787-7016
                https://orcid.org/0000-0002-0073-7809
                https://orcid.org/0000-0002-5989-0912
                https://orcid.org/0000-0001-8344-3445
                https://orcid.org/0000-0003-1405-5937
                https://orcid.org/0000-0002-8838-4752
                Article
                202015797
                10.1073/pnas.2015797118
                7958175
                33649215
                ab0e9d60-ddc2-4efe-91c0-f34f0c3eb2e6
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 7
                Funding
                Funded by: National Natural Science Foundation of China (NSFC) 501100001809
                Award ID: 42021004
                Award Recipient : Ke Li Award Recipient : Hong Liao
                Funded by: National Natural Science Foundation of China (NSFC) 501100001809
                Award ID: 91744311
                Award Recipient : Ke Li Award Recipient : Hong Liao
                Funded by: National Natural Science Foundation of China (NSFC) 501100001809
                Award ID: 41977191
                Award Recipient : Ke Li Award Recipient : Hong Liao
                Categories
                413
                Physical Sciences
                Earth, Atmospheric, and Planetary Sciences

                wintertime ozone,air quality,haze season,china,emission control

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