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      Recent Progress in Atmospheric Chemistry Research in China: Establishing a Theoretical Framework for the “Air Pollution Complex”

      review-article
      1 , , 2 , 3 , 2 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 4 , 13 , 14 , 7 , 12 , 15 , 16 , 17 , 18 , 1 , 13 , 7 , 18 , 1 , 4 , 4 , 19 , 7 , 11 , 18 , 4 , 12 , 16 , 17 , 12 , 20 , 7 , 1 , 12 , 4
      Advances in Atmospheric Sciences
      Science Press
      atmospheric chemistry, air pollution complex, theoretical framework, recent progress

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          Abstract

          Atmospheric chemistry research has been growing rapidly in China in the last 25 years since the concept of the “air pollution complex” was first proposed by Professor Xiaoyan TANG in 1997. For papers published in 2021 on air pollution (only papers included in the Web of Science Core Collection database were considered), more than 24 000 papers were authored or co-authored by scientists working in China. In this paper, we review a limited number of representative and significant studies on atmospheric chemistry in China in the last few years, including studies on (1) sources and emission inventories, (2) atmospheric chemical processes, (3) interactions of air pollution with meteorology, weather and climate, (4) interactions between the biosphere and atmosphere, and (5) data assimilation. The intention was not to provide a complete review of all progress made in the last few years, but rather to serve as a starting point for learning more about atmospheric chemistry research in China. The advances reviewed in this paper have enabled a theoretical framework for the air pollution complex to be established, provided robust scientific support to highly successful air pollution control policies in China, and created great opportunities in education, training, and career development for many graduate students and young scientists. This paper further highlights that developing and low-income countries that are heavily affected by air pollution can benefit from these research advances, whilst at the same time acknowledging that many challenges and opportunities still remain in atmospheric chemistry research in China, to hopefully be addressed over the next few decades.

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          Most cited references184

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          Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China

          The absence of motor vehicle traffic and suspended manufacturing during the COVID-19 pandemic in China produced a unique experiment to assess the efficiency of air pollution mitigation. Up to 90% reduction of certain emissions during the city-lockdown period can be identified from satellite and ground-based observations. Unexpectedly, extreme particulate matter levels simultaneously occurred in northern China. Our synergistic observation analyses and model simulations show that anomalously high humidity promoted aerosol heterogeneous chemistry, along with stagnant airflow and uninterrupted emissions from power plants and petrochemical facilities, contributing to severe haze formation. Also, because of non-linear production chemistry and titration of ozone in winter, reduced nitrogen oxides resulted in ozone enhancement in urban areas, further increasing the atmospheric oxidizing capacity and facilitating secondary aerosol formation.
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            Persistent sulfate formation from London Fog to Chinese haze.

            Sulfate aerosols exert profound impacts on human and ecosystem health, weather, and climate, but their formation mechanism remains uncertain. Atmospheric models consistently underpredict sulfate levels under diverse environmental conditions. From atmospheric measurements in two Chinese megacities and complementary laboratory experiments, we show that the aqueous oxidation of SO2 by NO2 is key to efficient sulfate formation but is only feasible under two atmospheric conditions: on fine aerosols with high relative humidity and NH3 neutralization or under cloud conditions. Under polluted environments, this SO2 oxidation process leads to large sulfate production rates and promotes formation of nitrate and organic matter on aqueous particles, exacerbating severe haze development. Effective haze mitigation is achievable by intervening in the sulfate formation process with enforced NH3 and NO2 control measures. In addition to explaining the polluted episodes currently occurring in China and during the 1952 London Fog, this sulfate production mechanism is widespread, and our results suggest a way to tackle this growing problem in China and much of the developing world.
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              Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China

              Abstract To control the spread of the 2019 novel coronavirus (COVID-19), China imposed nationwide restrictions on the movement of its population (lockdown) after the Chinese New Year of 2020, leading to large reductions in economic activities and associated emissions. Despite such large decreases in primary pollution, there were nonetheless several periods of heavy haze pollution in East China, raising questions about the well-established relationship between human activities and air quality. Here, using comprehensive measurements and modeling, we show the haze during the COVID lockdown were driven by enhancements of secondary pollution. In particular, large decreases in NOx emissions from transportation increased ozone and nighttime NO3 radical formation, and these increases in atmospheric oxidizing capacity in turn facilitated the formation of secondary particulate matter. Our results, afforded by the tragic natural experiment of the COVID-19 pandemic, indicate that haze mitigation depends upon a coordinated and balanced strategy for controlling multiple pollutants.
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                Author and article information

                Contributors
                tzhu@pku.edu.cn
                Journal
                Adv Atmos Sci
                Adv Atmos Sci
                Advances in Atmospheric Sciences
                Science Press (Heidelberg )
                0256-1530
                1861-9533
                28 April 2023
                28 April 2023
                : 1-23
                Affiliations
                [1 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, Peking University, ; Beijing, 100871 China
                [2 ]GRID grid.9227.e, ISNI 0000000119573309, Guangzhou Institute of Geochemistry, , Chinese Academy of Sciences, ; Guangzhou, 510640 China
                [3 ]GRID grid.221309.b, ISNI 0000 0004 1764 5980, Hong Kong Baptist University, ; Hong Kong SAR, China
                [4 ]GRID grid.9227.e, ISNI 0000000119573309, Institute of Atmospheric Physics, , Chinese Academy of Sciences, ; Beijing, 100029 China
                [5 ]GRID grid.508324.8, Chinese Academy of Meteorological Sciences, ; Beijing, 100081 China
                [6 ]GRID grid.8547.e, ISNI 0000 0001 0125 2443, Fudan University, ; Shanghai, 200438 China
                [7 ]GRID grid.41156.37, ISNI 0000 0001 2314 964X, Nanjing University, ; Nanjing, 210023 China
                [8 ]GRID grid.33763.32, ISNI 0000 0004 1761 2484, Tianjin University, ; Tianjin, 300072 China
                [9 ]GRID grid.418569.7, ISNI 0000 0001 2166 1076, Chinese Research Academy of Environmental Sciences, ; Beijing, 100012 China
                [10 ]GRID grid.4422.0, ISNI 0000 0001 2152 3263, Ocean University of China, ; Qingdao, 266100 China
                [11 ]GRID grid.9227.e, ISNI 0000000119573309, Institute of Chemistry, , Chinese Academy of Sciences, ; Beijing, 100190 China
                [12 ]GRID grid.260478.f, ISNI 0000 0000 9249 2313, Nanjing University of Information Science and Technology, ; Nanjing, 210044 China
                [13 ]GRID grid.9227.e, ISNI 0000000119573309, Research Center for Eco-Environmental Sciences, , Chinese Academy of Sciences, ; Beijing, 100085 China
                [14 ]GRID grid.9227.e, ISNI 0000000119573309, Institute of Earth Environment, , Chinese Academy of Sciences, ; Xi’an, 710061 China
                [15 ]GRID grid.59053.3a, ISNI 0000000121679639, University of Science and Technology of China, ; Hefei, 230026 China
                [16 ]GRID grid.12527.33, ISNI 0000 0001 0662 3178, Tsinghua University, ; Beijing, 100084 China
                [17 ]GRID grid.9227.e, ISNI 0000000119573309, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, , Chinese Academy of Sciences, ; Hefei, 230031 China
                [18 ]GRID grid.258164.c, ISNI 0000 0004 1790 3548, Jinan University, ; Guangzhou, 510632 China
                [19 ]GRID grid.16890.36, ISNI 0000 0004 1764 6123, Hong Kong Polytechnic University, ; Hong Kong SAR, China
                [20 ]GRID grid.43555.32, ISNI 0000 0000 8841 6246, Beijing Institute of Technology, ; Beijing, 100081 China
                Article
                2379
                10.1007/s00376-023-2379-0
                10140723
                36631876
                92a41e31-d780-4054-a648-8394b3176794
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 December 2022
                : 6 March 2023
                : 10 April 2023
                Categories
                Review

                atmospheric chemistry,air pollution complex,theoretical framework,recent progress

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