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Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation

文献类型：期刊论文

作者Zhu, Yizhi5,6; Hu, Qihou5; Gao, Meng7; Zhao, Chun8; Zhang, Chengxin6; Liu, Ting8; Tian, Yuan2; Yan, Liu3; Su, Wenjing8; Hong, Xinhua4
刊名REMOTE SENSING
出版日期2021-05-01
卷号13
关键词tropospheric monitoring instrument weather research and forecasting with coupled chemistry top-down nitrogen oxide emissions transport meteorology
DOI10.3390/rs13091798
通讯作者Hu, Qihou(qhhu@aiofm.ac.cn)
英文摘要Air quality is strongly influenced by both local emissions and regional transport. Atmospheric chemical transport models can distinguish between emissions and regional transport sources in air pollutant concentrations. However, quantifying model inventories is challenging due to emission changes caused by the recent strict control measures taken by the Chinese government. In this study, we use NO2 column observations from the Tropospheric Monitoring Instrument to retrieve top-down nitrogen oxide (NOX) emissions and quantify the contributions of local emissions and regional transport to NOx in Beijing (BJ), from 1 November 2018 to 28 February 2019 (W_2018) and 1 November 2019 to 29 February 2020 (W_2019). In W_2018 and W_2019, the BJ bottom-up NOX emissions from the multi-resolution emission inventory for China in 2017 were overestimated by 11.8% and 40.5%, respectively, and the input of NOX from other cities to BJ was overestimated by 10.9% and 51.6%, respectively. The simulation using our adjusted inventory exhibited a much higher spatial agreement (slope = 1.0, R-2 = 0.79) and reduced a mean relative error by 45% compared to those of bottom-up NOX emissions. The top-down inventory indicated that (1) city boundary transport contributes approximately 40% of the NOX concentration in BJ; (2) in W_2019, NOX emissions and transport in BJ decreased by 20.4% and 17.2%, respectively, compared to those of W_2018; (3) in W_2019, NOX influx substantially decreased (-699 g/s) in BJ compared to that of W_2018 despite negative meteorological conditions that should have increased NOx influx by +503 g/s. Overall, the contribution of intercity input to NOx in BJ has declined with decreasing emissions in the surrounding cities due to regional cooperative control measures, and the role of local emissions in BJ NOx levels was more prominent. Our findings indicate that local emissions may play vital roles in regional center city air quality.
WOS关键词MAX-DOAS OBSERVATIONS ; TIANJIN-HEBEI REGION ; LONG-RANGE TRANSPORT ; TROPOSPHERIC NO2 ; COVID-19 LOCKDOWN ; ANTHROPOGENIC EMISSIONS ; PARTICULATE MATTER ; STRATOSPHERIC NO2 ; BACKGROUND SITE ; SPRING FESTIVAL
资助项目National Key Research and Development Program of China[2017YFC0210002] ; National Key Research and Development Program of China[2018YFC0213104] ; National Key Research and Development Program of China[2016YFC0203302] ; National Key Research and Development Program of China[2017YFC0212800] ; National Natural Science Foundation of China[41722501] ; National Natural Science Foundation of China[51778596] ; National Natural Science Foundation of China[41977184] ; National Natural Science Foundation of China[41941011] ; Anhui Science and Technology Major Project[18030801111] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23020301] ; National Key Project for Causes and Control of Heavy Air Pollution[DQGG0102] ; National Key Project for Causes and Control of Heavy Air Pollution[DQGG0205] ; Natural Science Foundation of Anhui Province[1908085QD170] ; Key Research and Development Project of Anhui Province[202004i07020002] ; Youth Innovation Promotion Association of CAS[2021443] ; Young Talent Project of the Center for Excellence in Regional Atmospheric Environment, CAS[CERAE202004]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000650736300001
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Anhui Science and Technology Major Project ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Project for Causes and Control of Heavy Air Pollution ; Natural Science Foundation of Anhui Province ; Key Research and Development Project of Anhui Province ; Youth Innovation Promotion Association of CAS ; Young Talent Project of the Center for Excellence in Regional Atmospheric Environment, CAS
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/122218]  
专题中国科学院合肥物质科学研究院
通讯作者Hu, Qihou
作者单位1.Chinese Acad Sci, Inst Urban Environm, Ctr Excellence Reg Atmospher Environm, Xiamen 361021, Peoples R China
2.Anhui Univ, Inst Phys Sci & Informat Technol, Hefei 230601, Peoples R China
3.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
4.Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230026, Peoples R China
5.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
6.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Peoples R China
7.Hong Kong Baptist Univ, Dept Geog, Hong Kong 999077, Peoples R China
8.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China
9.Univ Sci & Technol China, Anhui Prov Key Lab Polar Environm & Global Change, Hefei 230026, Peoples R China
10.Univ Sci & Technol China, Anhui Higher Educ Inst, Key Lab Precis Sci Instrumentat, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714		 Zhu, Yizhi,Hu, Qihou,Gao, Meng,et al. Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation[J]. REMOTE SENSING,2021,13.
APA Zhu, Yizhi.,Hu, Qihou.,Gao, Meng.,Zhao, Chun.,Zhang, Chengxin.,...&Liu, Cheng.(2021).Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation.REMOTE SENSING,13.
MLA Zhu, Yizhi,et al."Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation".REMOTE SENSING 13(2021).

入库方式： OAI收割

来源：合肥物质科学研究院

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