Estimating the variability in NO x emissions from Wuhan with TROPOMI NO 2 data during 2018 to 2023
Year: 2025
Type: article
Abstract: . Accurate NOx emission estimates are required to better understand air pollution, investigate the effectiveness of emission restrictions, and develop effective emission control strategies. This study investigates and demonstrates the ability of the superposition column model in combination with TROPOMI tropospheric NO2 column data to estimate city-scale NOx emissions and lifetimes and their variabilities. Using the recently improved TROPOMI tropospheric NO2 column product (v2.4–2.6), we derive daily NOx emissions and lifetimes over the city of Wuhan for 335 clear sky days between May 2018 and December 2023. We find a slight weekend reduction in NOx emission with a weekend-to-weekday ratio of 0.95 and a small seasonal variation of NOx emissions over Wuhan with a summer-to-winter emission ratio of 0.87. We calculate a steady decline of NOx emissions from 2019 to 2023, and the emission in 2023 is ~15 % below the 2019 level, indicating the success of the emission control strategy. The estimated NOx lifetimes range from 0.8 h (summer) to 5.3 h (winter), with an average of 2.6 h. Meanwhile, our method shows ~30 % lower NOx lifetimes for fast wind (> 7 m s−1) speed. The superposition model method results in ~10 % lower estimation of NOx emissions when the wind direction is from distinct upwind NO2 hotspots compared to other wind directions, indicating the need to improve the approach for cities that are not relatively isolated pollution hotspots. The results of this work nevertheless confirm the strength of the superposition column model in estimating urban NOx emissions with reasonable accuracy.
Institutions: China Meteorological Administration, Royal Netherlands Meteorological Institute, Wageningen University & Research, Eindhoven University of Technology, State Key Joint Laboratory of Environment Simulation and Pollution Control, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,725
Awards: G1769656684, G1803406393, G565774714
OpenAlex ID: W4408639739
