Nonlinear influence of winter meteorology and precursor on PM2.5 based on mathematical and numerical models: A COVID-19 and Winter Olympics case study

Atmospheric Environment - Tập 278 - Trang 119072 - 2022
Wang Xiaoqi1, Duan Wenjiao1, Zhu Jiaxian1, Wei Wei1, Cheng Shuiyuan1, Mao Shushuai1
1Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China

Tài liệu tham khảo

Cai, 2017, The impact of the “air pollution prevention and control action plan” on PM2.5 concentrations in jing-jin-ji region during 2012-2020, Sci. Total Environ., 580, 197, 10.1016/j.scitotenv.2016.11.188 Chen, 2016, Simulations of sulfate-nitrate-ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014, Atmos. Chem. Phys., 16, 10707, 10.5194/acp-16-10707-2016 Chen, 2018, A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information, Sci. Total Environ., 636, 52, 10.1016/j.scitotenv.2018.04.251 Chen, 2019, The control of anthropogenic emissions contributed to 80% of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017, Atmos. Chem. Phys., 19, 13519, 10.5194/acp-19-13519-2019 Dai, 2021, Haze episodes before and during the COVID-19 shutdown in Tianjin, China: contribution of fireworks and residential burning, Environ. Pollut., 117252, 10.1016/j.envpol.2021.117252 Dang, 2019, Severe winter haze days in the Beijing-Tianjin-Hebei region from 1985 to 2017 and roles of anthropogenic emissions and meteorology, Atmos. Chem. Phys., 19, 12901, 10.5194/acp-19-10801-2019 Duan, 2021, Influencing factors of PM2.5 and O3 from 2016 to 2020 based on DLNM and WRF-CMAQ, Environ. Pollut., 285, 117512, 10.1016/j.envpol.2021.117512 Duan, 2022, Regional division and influencing mechanisms for the collaborative control of PM2.5 and O3 in China: a joint application of multiple mathematic models and data mining technologies, J. Clean. Prod., 337, 130607, 10.1016/j.jclepro.2022.130607 Ge, 2018, Air pollution over the North China Plain and its implication of regional transport: a new sight from the observed evidences, Environ. Pollut., 234, 29, 10.1016/j.envpol.2017.10.084 Gu, 2022, Multiply improved positive matrix factorization for source apportionment of volatile organic compounds during the COVID-19 shutdown in Tianjin, China, Environ. Int., 158, 106979, 10.1016/j.envint.2021.106979 Guo, 2016, The washout effects of rainfall on atmospheric particulate pollution in two Chinese cities, Environ. Pollut., 215, 195, 10.1016/j.envpol.2016.05.003 Hu, 2021, Understanding the impact of meteorology on ozone in 334 cities of China, Atmos. Environ., 248, 118221, 10.1016/j.atmosenv.2021.118221 Ji, 2014, The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: insights gained from observation, Atmos. Environ., 92, 546, 10.1016/j.atmosenv.2014.04.048 Jia, 2017, An integrated WRF-CAMx modeling approach for impact analysis of implementing the emergency PM2.5 control measures during Red Alerts in Beijing in December 2015, Aerosol Air Qual. Res., 17, 2491, 10.4209/aaqr.2017.01.0009 Lang, 2017, Trends of PM2.5 and chemical composition in Beijing, 2000-2015, Aerosol Air Qual. Res, 17, 412, 10.4209/aaqr.2016.07.0307 Lang, 2018, A high temporal-spatial resolution air pollutant emission inventory for agricultural machinery in China, J. Clean. Prod., 183, 1110, 10.1016/j.jclepro.2018.02.120 Li, 2022, Characterization of haze pollution in Zibo, China: temporal series, secondary species formation, and PMx distribution, Chemosphere, 286, 131807, 10.1016/j.chemosphere.2021.131807 Li, 2021, Stronger secondary pollution processes despite decrease in gaseous precursors: a comparative analysis of summer 2020 and 2019 in Beijing, Environ. Pollut., 279, 116923, 10.1016/j.envpol.2021.116923 Li, 2020, Exploring the regional pollution characteristics and meteorological formation mechanism of PM2.5 in North China during 2013-2017, Environ. Int., 134, 105283, 10.1016/j.envint.2019.105283 Liu, 2021, A review on methodology in O3-NOx-VOC sensitivity study, Environ. Pollut., 291, 118249, 10.1016/j.envpol.2021.118249 Lv, 2020, Meteorological characteristics within boundary layer and its influence on PM2.5 pollution in six cities of North China based on WRF-Chem, Atmos. Environ., 228, 117417, 10.1016/j.atmosenv.2020.117417 Shao, 2018, Characterizing remarkable changes of severe haze events and chemical compositions in multi-size airborne particles (PM1, PM2.5 and PM10) from January 2013 to 2016–2017 winter in Beijing, China, Atmos. Environ., 189, 133, 10.1016/j.atmosenv.2018.06.038 Shen, 2021, Particle number emissions from light-duty gasoline vehicles in Beijing, China, Sci. Total Environ., 773, 145663, 10.1016/j.scitotenv.2021.145663 Sun, 2020, A chemical cocktail during the COVID-19 outbreak in Beijing, China: insights from six-year aerosol particle composition measurements during the Chinese New Year holiday, Sci. Total Environ., 742, 140739, 10.1016/j.scitotenv.2020.140739 Wang, 2017, Characteristics and emission-reduction measures evaluation of PM2.5 during the two major events: APEC and Parade, Sci. Total Environ., 595, 81, 10.1016/j.scitotenv.2017.03.231 Wang, 2017, Local and regional contributions to fine particulate matter in Beijing during heavy haze episodes, Sci. Total Environ., 580, 283, 10.1016/j.scitotenv.2016.12.127 Wang, 2018, Characteristics of filterable and condensable particulate matter emitted from two waste incineration power plants in China, Sci. Total Environ., 639, 695, 10.1016/j.scitotenv.2018.05.105 Wang, 2018, Characteristics and classification of PM2.5 pollution episodes in Beijing from 2013 to 2015, Sci. Total Environ., 612, 170, 10.1016/j.scitotenv.2017.08.206 Wang, 2019, Characteristics of PM2.5 and SNA components and meteorological factors impact on air pollution through 2013-2017 in Beijing, China, Atmos. Pollut. Res., 10, 1976, 10.1016/j.apr.2019.09.004 Wang, 2019, Source estimation of SO42- and NO3- based on monitoring-modeling approach during winter and summer seasons in Beijing and Tangshan, China, Atmos. Environ., 214, 116849, 10.1016/j.atmosenv.2019.116849 Wang, 2020, Composition analysis and formation pathway comparison of PM1 between two pollution episodes during February 2017 in Beijing, China, Atmos. Environ., 223, 117223, 10.1016/j.atmosenv.2019.117223 Wang, 2021, Chemical characteristics of size-fractioned particles at a suburban site in Shijiazhuang, North China: implication of secondary particle formation, Atmos. Res., 259, 105680, 10.1016/j.atmosres.2021.105680 Wang, 2021, Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013–2018 in Beijing, Atmos. Pollut. Res., 12, 101055, 10.1016/j.apr.2021.101055 Wei, 2022, Attenuated sensitivity of ozone to precursors in Beijing-Tianjin-Hebei region with the continuous NOx reduction within 2014-2018, Sci. Total Environ., 813, 152589, 10.1016/j.scitotenv.2021.152589 Xiang, 2020, Control of both PM2.5 and O3 in Beijing-Tianjin-Hebei and the surrounding areas, Atmos. Environ., 224, 117259, 10.1016/j.atmosenv.2020.117259 Xing, 2018, Spatiotemporal variation of domestic biomass burning emissions in rural China based on a new estimation of fuel consumption, Sci. Total Environ., 626, 274, 10.1016/j.scitotenv.2018.01.048 Yan, 2021, The occurrence of heavy air pollution during the COVID-19 outbreak in beijing, China: roles of emission reduction, meteorological conditions, and regional transport, Sustainability, 13, 12312, 10.3390/su132112312 Yang, 2017, Characterization of chemical composition in PM2.5 in Beijing before, during, and after a large-scale international event, Aerosol Air Qual. Res., 17, 896, 10.4209/aaqr.2016.07.0321 Yang, 2021, Characteristics of regional transport during two-year wintertime haze episodes in North China megacities, Atmos. Res., 257, 105582, 10.1016/j.atmosres.2021.105582 Yang, 2021, Nonlinear and lagged meteorological effects on daily levels of ambient PM2.5 and O3: evidence from 284 Chinese cities, J. Clean. Prod., 278, 123931, 10.1016/j.jclepro.2020.123931 Zhai, 2019, Fine particulate matter (PM2.5) trends in China, 2013-2018: separating contributions from anthropogenic emissions and meteorology, Atmos. Chem. Phys., 19, 11031, 10.5194/acp-19-11031-2019 Zhang, 2013, Characteristics of submicron aerosols during a month of serious pollution in Beijing, Atmos. Chem. Phys., 14, 2887, 10.5194/acp-14-2887-2014 Zhang, 2014, Characteristics of submicron aerosols during a month of serious pollution in Beijing, 2013, Atmos. Chem. Phys., 14, 2887, 10.5194/acp-14-2887-2014 Zhang, 2019, Investigating the aerosol mass and chemical components characteristics and feedback effects on the meteorological factors in the Beijing-Tianjin-Hebei region, China, Environ. Pollut., 224, 495, 10.1016/j.envpol.2018.10.087 Zhang, 2019, Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain, Atmos. Environ., 218, 117010, 10.1016/j.atmosenv.2019.117010 Zhang, 2021, Characterization of multiple atmospheric pollutants during haze and non-haze episodes in Beijing, China: concentration, chemical components and transport flux variations, Atmos. Environ., 246, 118129, 10.1016/j.atmosenv.2020.118129 Zhang, 2021, Effects of reactive nitrogen gases on the aerosol formation in Beijing from late autumn to early spring, Environ. Res. Lett., 16 Zhang, 2021, Investigation on the difference of PM2.5 transport flux between the north China plain and the Sichuan Basin, Atmos. Environ., 271, 118922, 10.1016/j.atmosenv.2021.118922 Zhao, 2013, Characteristics of concentrations and chemical compositions for PM2.5 in the region of Beijing, Tianjin, and Hebei, China, Atmos. Chem. Phys., 13, 4631, 10.5194/acp-13-4631-2013 Zhao, 2020, Air pollution episodes during the COVID-19 outbreak in the Beijing-Tianjin-Hebei region of China: an insight into the transport pathways and source distribution, Environ. Pollut., 267, 115617, 10.1016/j.envpol.2020.115617 Zhou, 2012, A coupled MM5-CMAQ modeling system for assessing effects of restriction measures on PM10 pollution in olympic city of beijing, China, J. Environ. Inf., 19, 120 Zhou, 2015, A comprehensive ammonia emission inventory with high-resolution and its evaluation in the Beijing–Tianjin–Hebei (BTH) region, China, Atmos. Environ., 106, 305, 10.1016/j.atmosenv.2015.01.069 Zhou, 2021, Estimating air pollutant emissions from crop residue open burning through a calculation of open burning proportion based on satellite-derived fire radiative energy, Environ. Pollut., 286, 117477, 10.1016/j.envpol.2021.117477 Zuo, 2022, New insights into unexpected severe PM2.5 pollution during the SARS and COVID-19 pandemic periods in beijing, Environ. Sci. Technol., 56, 155, 10.1021/acs.est.1c05383