HFCAS OpenIR
Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology
Yin, Hao1,2; Lu, Xiao3; Sun, Youwen1; Li, Ke4; Gao, Meng5; Zheng, Bo6; Liu, Cheng1,7,8,9,10
2021-12-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
通讯作者Lu, Xiao(luxiao25@mail.sysu.edu.cn) ; Sun, Youwen(ywsun@aiofm.ac.cn)
摘要China's nationwide monitoring network initiated in 2013 has witnessed continuous increases of urban summertime surface ozone to 2019 by about 5% year(-1), among the fastest ozone trends in the recent decade reported in the Tropospheric ozone assessment report. Here we report that surface ozone levels averaged over cities in eastern China cities decrease by 5.5 ppbv in May-August 2020 compared to the 2019 levels, representing an unprecedented ozone reduction since 2013. We combine the high-resolution GEOS-Chem chemical model and the eXtreme Gradient Boosting (XGBoost) machine learning model to quantify the drivers of this reduction. We estimate that changes in anthropogenic emissions alone decrease ozone by 3.2 (2.9-3.6) ppbv (57% of the total 5.5 ppbv reduction) averaged over cities in eastern China and by 2.5 similar to 3.2 ppbv in the three key city clusters for ozone mitigation. These reductions appear to be driven by decreases in anthropogenic emissions of both nitrogen oxides (NO (x) ) and volatile organic compounds, likely reflecting the stringent emission control measures implemented by The Chinese Ministry of Environmental and Ecology in summer 2020, as supported by observed decline in tropospheric formaldehyde (HCHO) and nitrogen dioxides (NO2) from satellite and by bottom-up emission estimates. Comparable to the emission-driven ozone reduction, the wetter and cooler weather conditions in 2020 decrease ozone by 2.3 (1.9-2.6) ppbv (43%). Our analyses indicate that the current emission control strategies can be effective for ozone mitigation in China yet tracking future ozone changes is essential for further evaluation. Our study also reveals important potential to combine the mechanism-based, state-of-art atmospheric chemical models with machine learning model to improve the attribution of ozone drivers.
关键词ozone changes anthropogenic emission reductions meteorology GEOS-Chem-XGBoost ozone mitigation
DOI10.1088/1748-9326/ac3e22
关键词[WOS]AIR-QUALITY ; TROPOSPHERIC OZONE ; CLIMATE-CHANGE ; S5P TROPOMI ; POLLUTION ; MODEL ; SENSITIVITY ; HEFEI ; CHEMISTRY ; PRECURSOR
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2019YFC0214802] ; National Science Foundation of China[41877309] ; Sino-German Mobility programme[M-0036]
项目资助者National Key Research and Development Program of China ; National Science Foundation of China ; Sino-German Mobility programme
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000730936600001
出版者IOP Publishing Ltd
引用统计
被引频次:34[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.hfcas.ac.cn:8080/handle/334002/126407
专题中国科学院合肥物质科学研究院
通讯作者Lu, Xiao; Sun, Youwen
作者单位1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, HFIPS, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Peoples R China
3.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
4.Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Peoples R China
5.Hong Kong Baptist Univ, Dept Geog, Hong Kong 999077, Peoples R China
6.Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Inst Environm & Ecol, Shenzhen 518055, Peoples R China
7.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Peoples R China
8.Univ Sci & Technol China, Key Lab Precis Sci Instrumentat Anhui Higher Educ, Hefei 230026, Peoples R China
9.Univ Sci & Technol China, Anhui Prov Key Lab Polar Environm & Global Change, Hefei 230026, Peoples R China
10.Chinese Acad Sci, Ctr Excellence Reg Atmospher Environm, Inst Urban Environm, Xiamen 361021, Peoples R China
第一作者单位中科院安徽光学精密机械研究所
通讯作者单位中科院安徽光学精密机械研究所
推荐引用方式
GB/T 7714
Yin, Hao,Lu, Xiao,Sun, Youwen,et al. Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology[J]. ENVIRONMENTAL RESEARCH LETTERS,2021,16.
APA Yin, Hao.,Lu, Xiao.,Sun, Youwen.,Li, Ke.,Gao, Meng.,...&Liu, Cheng.(2021).Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology.ENVIRONMENTAL RESEARCH LETTERS,16.
MLA Yin, Hao,et al."Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology".ENVIRONMENTAL RESEARCH LETTERS 16(2021).
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