期刊
REMOTE SENSING
卷 13, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/rs13091798
关键词
tropospheric monitoring instrument; weather research and forecasting with coupled chemistry; top-down nitrogen oxide emissions; transport; meteorology
类别
资金
- National Key Research and Development Program of China [2017YFC0210002, 2018YFC0213104, 2016YFC0203302, 2017YFC0212800]
- National Natural Science Foundation of China [41722501, 51778596, 41977184, 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, 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]
The study finds that bottom-up NOx emissions in BJ were overestimated, along with overestimation of NOx input from other cities. The adjusted inventory simulation showed higher spatial agreement and reduced average relative error by 45%. The top-down inventory indicated that city boundary transport contributes approximately 40% of the NOX concentration in BJ, and in 2019, NOx emissions and transport in BJ decreased by 20.4% and 17.2%, respectively, compared to 2018.
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.
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