The Nanjing Government applied temporary environmental regulations toguarantee good air quality during the Youth Olympic Games (YOG) in 2014. Westudy the effect of those regulations by applying the emission estimatealgorithm DECSO (Daily Emission estimates Constrained by SatelliteObservations) to measurements of the Ozone Monitoring Instrument (OMI). Weimproved DECSO by updating the chemical transport model CHIMERE from v2006 tov2013 and by adding an Observation minus Forecast (OmF) criterion to filteroutlying satellite retrievals due to high aerosol concentrations. Thecomparison of model results with both ground and satellite observationsindicates that CHIMERE v2013 is better performing than CHIMERE v2006. Afterfiltering the satellite observations with high aerosol loads that wereleading to large OmF values, unrealistic jumps in the emission estimates areremoved. Despite the cloudy conditions during the YOG we could still see adecrease of tropospheric NO2 column concentrations of about 32 % inthe OMI observations when compared to the average NO2 columns from 2005 to2012. The results of the improved DECSO algorithm for NOx emissions showa reduction of at least 25 % during the YOG period and afterwards. Thisindicates that air quality regulations taken by the local government have aneffect in reducing NOx emissions. The algorithm is also able to detectan emission reduction of 10 % during the Chinese Spring Festival. Thisstudy demonstrates the capacity of the DECSO algorithm to capture the changeof NOx emissions on a monthly scale. We also show that the observedNO2 columns and the derived emissions show different patterns thatprovide complimentary information. For example, the Nanjing smog episode inDecember 2013 led to a strong increase in NO2 concentrations without anincrease in NOx emissions. Furthermore, DECSO gives us importantinformation on the non-trivial seasonal relation between NOx emissionsand NO2 concentrations on a local scale.
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机译：南京政府在2014年青年奥林匹克运动会（YOG）期间采用了临时环境法规，以确保良好的空气质量。通过将排放估算算法DECSO（受卫星观测约束的每日排放估算）应用于臭氧监测仪的测量，来研究这些法规的效果。 OMI）。通过将化学传输模型CHIMERE从v2006升级到v2013，并通过将观测值减去预报（OmF）标准添加到由于高气溶胶浓度而过滤掉的卫星检索中，对DECSO进行了改进。模型结果与地面和卫星观测结果的比较表明，CHIMERE v2013的性能优于CHIMERE v2006。在过滤了导致高OmF值的高气溶胶负荷的卫星观测数据之后，消除了排放估算中不切实际的跳跃。尽管在YOG期间天气多云，但与2005年至2012年的平均NO 2 柱相比，OMI观测中对流层NO 2 柱的浓度仍降低了约32％ 。改进的DECSO算法针对NO x 排放的结果表明，在YOG期间及之后，其排放量至少减少了25％。这表明地方政府制定的空气质量法规对减少NO x 的排放有影响。该算法还能够在中国春节期间检测到10％的减排量。这项研究证明了DECSO算法每月捕获NO x 排放量变化的能力。我们还显示观察到的NO 2 列和导出的排放显示了提供互补信息的不同模式。例如，2013年12月的南京烟雾事件导致NO 2 浓度大幅增加，而NO x 排放却没有增加。此外，DECSO为我们提供了重要的信息，说明了局部尺度上NO x 的排放量与NO 2 浓度之间的非平凡的季节性关系。
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