Long-term trends of tropospheric NO2 over the Fenwei Plain of China based on OMI data
CHEN Ling1,2, YAN Shi-ming1,2, NI Cheng-cheng3, ZHU Ling-yun1,2, XIAO Hui4,5, WANG Yan1, WANG Wen-ya1, HE Jie-ying1, GUO Wei1
1. Shanxi Institute of Meteorological Science, Taiyuan 030002, China; 2. Wutaishan Cloud Physics Field Experiment Base, China Meteorological Administration, Taiyuan 030002, China; 3. Chengdu Weather Modification Center, Chengdu 611100, China; 4. Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 5. School of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:This study explored the long-term trends of NO2 tropospheric vertical column density (NO2 TVCD) and its responses to NOx emissions, as well as their impacts on the lower tropospheric O3 over the Fenwei Plain of China. The long-term observations from 2007 to 2020 used here consist of:NO2 TVCD data of Ozone Monitoring Instrument (OMI) OMNO2d, NOx emissions of European Quality Assurance for Essential Climate Variables project (QA4ECV) products by Daily Emission estimation Constrained by Satellite Observations (DECSO) algorithm, and ozone (O3) vertical profile data of Atmospheric Infrared Sounder instrument (AIRS) AIRS2SUP. The results showed that:(1) NO2 TVCD peaked at (9.8±4.6)×1015molec/cm2 in 2012, then tended to decline generally after 2013; (2) NO2 TVCD was higher by 260% in winter than in summer; (3) The variations in NO2 TVCD were not exactly consistent with the anthropogenic mitigation of NOx emissions but increased in Summer at its lower percentiles with a rate of (-1.5±0.6)%/a (less than a third of the reduction in NOx emissions), which was probably due to the large contribution of natural sources of tropospheric NOx and its increasing relative contribution under the background of massive anthropogenic NOx emissions mitigation; (4) The O3 variability was (-0.2±0.2)%/a in the middle-lower troposphere and (0.8±0.1)%/a in the near surface, indicating that the tropospheric O3 generation in the Fenwei Plain was basically within the VOCs-limited or VOCs-NOx transitional regimes, and the anthropogenic NOx emissions reduction could not reduce the tropospheric O3; (5) The anthropogenic NOx emission reduction could effectively reduce NO2 in urban high emission areas, but in the rural areas where natural NOx sources dominated. Generally, the efficiency of the anthropogenic NOx emissions reduction was not significant over the Fenwei Plain.
陈玲, 闫世明, 倪成诚, 朱凌云, 肖辉, 王雁, 汪文雅, 贺洁颖, 郭伟. 基于OMI的汾渭平原对流层NO2长期变化趋势[J]. 中国环境科学, 2022, 42(8): 3492-3501.
CHEN Ling, YAN Shi-ming, NI Cheng-cheng, ZHU Ling-yun, XIAO Hui, WANG Yan, WANG Wen-ya, HE Jie-ying, GUO Wei. Long-term trends of tropospheric NO2 over the Fenwei Plain of China based on OMI data. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(8): 3492-3501.
Compernolle S, Verhoelst T, Pinardi G, et al. Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks:The role of measurement and comparison uncertainties[J]. Atmospheric Chemistry and Physics, 2020,20:8017-8045.
[2]
Stevenson D S, Young P J, Naik V, et al. Tropospheric ozone changes, radiative forcing and attribution to emissions in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP)[J]. Atmospheric Chemistry and Physics, 2013,13:3063-3085.
[3]
Li K, Jacob D J, Shen L, et al. Increases in surface ozone pollution in China from 2013to 2019:anthropogenic and meteorological influences[J]. Atmospheric Chemistry and Physics, 2020,20:11423-11433.
[4]
Myhre G, Shindell D, Bréon F-M, et al. Anthropogenic and natural radiative forcing, in:Climate Change 2013:The physical science basis. contribution of Working Group I to the fifth assessment report of the intergovernmental panel on climate change[C]. edited by:Stocker T F, Qin D, Plattner G-K, et al. Cambridge University Press, Cambridge, UK and New York, NY, USA, 2013.
[5]
Seinfeld J H, Pandis S N. Atmospheric chemistry and physics:from air pollution to climate change[M]. Wiley, New Jersey, USA, 2016.
[6]
唐孝炎,张远航,邵敏.大气环境化学[M]. 北京:高等教育出版社, 2006:58-61. Tang X Y, Zhang Y H, Shao M. Atmospheric environmental chemistry[M]. Beijing:Higher Education Press, 2006:58-61.
[7]
Liu F, Beirle S, Zhang Q, et al. NOx lifetimes and emissions of cities and power plants in polluted background estimated by satellite observations[J]. Atmospheric Chemistry and Physics, 2016,16:5283-5298.
[8]
Barré J, Petetin H, Colette A, et al. Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models[J]. Atmospheric Chemistry and Physics, 2021,21:7373-7394.
[9]
Liu X, Mizzi A P, Anderson J L, et al. The potential for geostationary remote sensing of NO2 to improve weather prediction[J]. Atmospheric Chemistry and Physics, 2021,21:9573-9583.
[10]
Petetin H, Bowdalo D, Soret A, et al. Meteorology-normalized impact of the COVID-19lockdown upon NO2 pollution in Spain[J]. Atmospheric Chemistry and Physics, 2020,20:11119-11141.
[11]
WHO. Health aspects of air pollution with particulate matter, ozone and nitrogen dioxide[C]. World Health Organization, Bonn, Germany, 2003.
[12]
Lelieveld J, Evans J S, Fnais M, et al. The contribution of outdoor air pollution sources to premature mortality on a global scale[J]. Nature, 2015,525:367-371.
[13]
van Der A R J, Peters D H M U, Eskes H, et al. Detection of the trend and seasonal variation in tropospheric NO2 over China[J]. Journal of Geophysical Research-Atmosphere, 2006,111(D12),D12317, https://doi.org/10.1029/2005JD006594.
[14]
Zhang X Y, Zhang W T, Lu X H, et al. Long-term trends in NO2 columns related to economic developments and air quality policies from 1997 to 2016 in China[J]. Science of the Total Environment, 2018,639:146-155.
[15]
Bauwens M, Compernolle S, Stavrakou T, et al. Impact of coronavirus outbreak on NO2 pollution assessed using TROPOMI and OMI Observations[J]. Geophysical Research Letters, 2020,47(11), e2020GL087978,https://doi.org/10.1029/2020GL087978.
[16]
Li J, Wang Y, Zhang R, et al. Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011:Effects of resolution-dependent representation of NOxemissions[J]. Atmospheric Chemistry and Physics, 2021,21:11133-11160.
[17]
程良晓,陶金花,余超,等.高分五号大气痕量气体差分吸收光谱仪对流层NO2柱浓度遥感反演研究[J]. 遥感学报, 2021,25(11):2313-2325. Cheng L X, Tao J H, Yu C, et al. Tropospheric NO2 column density retrieval from the GF-5EMI data[J]. National Remote Sensing Bulletin, 2021,25(11):2313-2325.
[18]
Georgoulias A K, van der A R J, Stammes P, et al. Trends and trend reversal detection in 2decades of tropospheric NO2 satellite observations[J]. Atmospheric Chemistry and Physics, 2019,19:6269-6294.
[19]
Fan C, Li Z, Li Y, et al. Variability of NO2 concentrations over China and effect on air quality derived from satellite and ground-based observations[J]. Atmospheric Chemistry and Physics, 2021,21:7723-7748.
[20]
Krotkov N A, McLinden C A, Li C, et al. Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015[J]. Atmospheric Chemistry and Physics, 2016,16:4605-4629.
[21]
Chen M, Gong Y, Li Y, et al. Population distribution and urbanization on both sides of the Hu Huanyong Line:Answering the Premier's question[J]. Journal of Geographical Sciences, 2016,26:1593-1610.
[22]
Zheng Z, Yang Z, Wu Z, et al. Spatial variation of NO2 and its impact factors in China:An application of sentinel-5P products[J]. Remote Sensing, 2019,11(16),1939, https://doi.org/10.3390/rs11161939.
[23]
程韵初,吴莹.基于OMI资料的中国对流层NO2柱浓度时空变化及其影响因子分析[J]. 地球物理学进展, 2020,35(5):1644-1650. Cheng Y C, Wu Y. Spatiotemporal changes of tropospheric NO2 vertical column densities in China based on OMI data and its influencing factors[J]. Progress in Geophysics (in Chinese), 2020, 35(5):1644-1650.
[24]
肖钟湧,谢先全,陈颖锋,等.粤港澳大湾区NO2污染的时空特征及影响因素分析[J]. 中国环境科学, 2020,40(5):2010-2017. Xiao Z Y, Xie X Q, Chen Y F, et al. Temporal and spatial characteristics and influencing factors of NO2 pollution over Guangdong-Hong Kong-Macao Greater Bay Area, China[J]. China Environmental Science, 2020,40(5):2010-2017.
[25]
燕丽,贺晋瑜,杨晓玥,等.2005~2018年河南省NO2柱浓度变化特征[J]. 中国环境科学, 2020,40(10):4259-4264. Yan L, He J Y, Yang X Y, et al. Variation of NO2 column concentration over Henan province in 2005~2018[J]. China Environmental Science, 2020,40(10):4259-4264.
[26]
马超,巨天珍,温飞,等.基于甘肃省卫星遥感的对流层NO2时空变化[J]. 中国环境科学, 2020,40(3):956-966. Ma C, Ju T Z, Wen F, et al. Temporal and spatial variation of tropospheric NO2 based on satellite remote sensing in Gansu Province[J]. China Environmental Science, 2020,40(3):956-966.
[27]
苏锦涛,张成歆,胡启后,等.基于卫星高光谱遥感的2007年~2017年新疆地区大气NO2时空变化趋势分析[J]. 光谱学与光谱分析, 2021,41(5):1631-1638. Su J T, Zhang C X, Hu Q H, et al. Analysis of spatial and temporal change of Xinjiang NO2 in 2007~2017 based on satellite hyperspectral remote sensing[J]. Spectroscopy and Spectral Analysis, 2021,41(5):1631-1638.
[28]
Li K, Jacob D J, Shen L, et al. Increases in surface ozone pollution in China from 2013 to 2019:anthropogenic and meteorological influences[J]. Atmospheric Chemistry and Physics, 2020,20:11423-11433.
[29]
Ma X, Huang J, Zhao T, et al. Rapid increase in summer surface ozone over the North China Plain during 2013~2019:a side effect of particulate matter reduction control?[J]. Atmospheric Chemistry and Physics, 2021,21:1-16.
[30]
Wang W, van der A R, Ding J, et al. Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations[J]. Atmospheric Chemistry and Physics, 2021,21:7253-7269.
[31]
中华人民共和国生态环境部.2020中国环境生态公报[Z]. (2022-01-20). http://www.mee.gov.cn/hjzl/sthjzk/zghjzkgb/202105/P020210526572756184785.pdf. Ministry of Ecology and Environment of the People's Republic of China. China's Ecological Environment communique of 2020[Z], http://www.mee.gov.cn/hjzl/sthjzk/zghjzkgb/202105/P020210526572756184785.pdf, (last access:20January 2022).
[32]
Krotkov N A, Lamsal L N, Celarier E A, et al. The version 3OMI NO2 standard product[J]. Atmospheric Measurement Technique, 2013, 10:3133-3149.
[33]
Wenig M O, Cede A M, Bucsela E J, et al. Validation of OMI tropospheric NO2 column densities using direct-Sun mode Brewer measurements at NASA Goddard Space Flight Center[J]. Journal of Geophysical Research-Atmosphere, 2008,113(D16S45), http://doi.org/10.1029/2007JD008988.
[34]
Krotkov N A, Lamsal L N, Marchenko S V, et al. OMNO2README Document, Data Product Version 4.0, Document Version 9.0[EB/OL]. https://acdisc.gesdisc.eosdis.nasa.gov/data/Aura_OMI_Level3/OMNO2d.003/doc/README.OMNO2.pdf.
[35]
Ding J, van der A R J, Mijling B, et al. Space-based NOx emission estimates over remote regions improved in DECSO[J]. Atmospheric Measurement Technique, 2017,10:925-938.
[36]
Ding J, van der A R J, Mijling B, et al. Maritime NOx emissions over Chinese seas derived from satellite observations[J]. Geophysical Research Letters, 2018,45:2031-2037.
[37]
Barnet C, Manning E, Rosenkranz P, et al. AIRS level 2algorithm theoretical basis document, Version 4.0[EB/OL]. https://disc.gsfc.nasa.gov/information/documents?title=AIRS%20Documentation.
[38]
Manning E, Kahn B, Fetzer E J, et al. AIRS/AMSU/HSB Version 7Level 2Product User Guide, Document Version 1.0.1[EB/OL]. https://disc.gsfc.nasa.gov/information/documents?title=AIRS%20Documentation.
[39]
Kahn B, Manning E, Blaisdell J, et al. AIRS/AMSU/HSB Version 7Level 2Quality Control and Error Estimation, Document Version 0.3.1[EB/OL]. https://disc.gsfc.nasa.gov/information/documents?title=AIRS%20Documentation.
[40]
Duncan B N, Lamsal L N, Thompson, A M, et al. A Space-based, high-resolution view of notable changes in urban NOxpollution around the world (2005~2014)[J]. Journal of Geophysical Research-Atmosphere. 2016,121:976-996.
[41]
van der A R J, Mijling B, Ding J, et al. Cleaning up the air:effectiveness of air quality policy for SO2 and NOx emissions in China[J]. Atmospheric Chemistry and Physics, 2017,17:1775-1789.
[42]
Ding J, van der A R J, Eskes H J, et al. NOx emissions reduction and rebound in China due to the COVID-19 crisis[J]. Geophysical Research Letters, 2020,46, e2020GL089912, https://doi.org/10.1029/2020GL089912.
[43]
Wang C J, Wang T, Wang P C. The spatial-temporal variation of tropospheric NO2 over China during 2005 to 2018[J]. Atmosphere, 2019,10(8):444.
[44]
Christian H J, Blakeslee R J, Boccippio D J, et al. Global frequency and distribution of lightning as observed from space by the Optical Transient Detector[J]. Journal of Geophysical Research-Atmosphere, 2003,108(D1):4005, http://doi.org/10.1029/2002JD002347.
[45]
Yienger J J, Levy II H. Empirical model of global soil-biogenic NOx emissions[J]. Journal of Geophysical Research-Atmosphere, 1995, 100(D6):11447-11464.
[46]
Li R, Xu M, Li M, et al. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis[J]. Atmospheric Chemistry and Physics, 2021,21:15631-15646.
[47]
Seinfeld J H. Urban air pollution:State of the science[J]. Science, 1989,243:745-752.
[48]
Kleinman L. Low and high NOx tropospheric photochemistry[J]. Journal of Geophysical Research-Atmosphere, 1994,99:16831-16838.
[49]
张鸿宇,王媛,卢亚灵,等.我国臭氧污染控制分区及其控制类型识别[J]. 中国环境科学, 2021,41(9):4051-4059. Zhang H Y, Wang Y, Lu Y L, et al. Identification of ozone pollution control zones and types in China[J]. China Environmental Science, 2021,41(9):4051-4059.
[50]
Boersma K F, Eskes H J, Dirksen R J, et al. An improved tropospheric NO2 column retrieval algorithm for the Ozone Monitoring Instrument[J]. Atmospheric Measurement Technique, 2011,4:1905-1928.
[51]
Lorente A, Folkert Boersma K, Yu H, et al. Structural uncertainty in air mass factor calculation for NO2 and HCHO satellite retrievals[J]. Atmospheric Measurement Technique, 2017,10:759-782.
[52]
Ding J, van der A R J, Mijling B, et al. NOx emission estimates during the 2014 Youth Olympic Games in Nanjing[J]. Atmospheric Chemistry and Physics, 2015,15:9399-9412.
[53]
Silvern R F, Jacob D J, Mickley L J, et al. Using satellite observations of tropospheric NO2 columns to infer long-term trends in US NOx emissions:The importance of accounting for the free tropospheric NO2 background[J]. Atmospheric Chemistry and Physics, 2019,19:8863-8878.