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| Titel |
Optimization of NOx emissions in Yangtze Delta Region using in-situ observations |
| VerfasserIn |
Hengmao Wang, Fei Jiang, Ziqiang Jiang, Jane Liu, Jing Ming Chen, Weimin Ju |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250131024
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| Publikation (Nr.) |
 EGU/EGU2016-11374.pdf |
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| Zusammenfassung |
| Well quantified NOx emissions are essential for air quality forecasting and air pollution mitigation. The traditional “bottom-up” estimates of NOx emissions, using activity data and emission factors, are subject to large uncertainties, especially in China. Inverse modelling, often referred to as “top-down” approach, using atmospheric observations made from satellites and ground stations, provides an effective means to optimize bottom-up NOx emission inventory. The rapid expansion of air quality monitoring network in China offers an opportunity to constrain NOx emissions using in-situ ground measurements. We explore the potential of using NO2 observations from the air quality monitoring network to improve NOx emissions estimates in China. The four dimensional variational data assimilation (4DVAR) scheme in the Community Multi-scale Air Quality (CMAQ) adjoint model is implemented to infer NOx emissions in Yangtze Delta Region at 12 km resolution. The optimized NOx emissions are presented. The uncertainly reduction of estimates is analyzed and discussed. |
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