Abstract
Source culpability assessments are useful for developing effective emission control strategies. The Integrated Source Apportionment Method (ISAM) has been implemented in CMAQ to track contributions from source groups and regions to ambient levels and deposited amounts of O3. CMAQ-ISAM has been used to simulate a heavy O3 pollution episode in Shanghai during June 2–6, 2015, to quantify the contributions of the precursor emission from different regions to O3 concentration in Shanghai, to identify the relative importance of different ways by which regional sources affected the O3 levels in Shanghai, and to investigate the sensitivity of O3 formation to the precursors during the episode. The results from this study could be helpful to diagnose deficiency in the emission inputs of the air quality forecasting system which has been operating daily since 2010 World Expo.
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Reference
Kwok RHF, Baker KR, Napelenok SL, Tonnesen GS (2015) Photochemical grid model implementation and application of VOC, NOx, and O3 source apportionment. Geosci Model Dev 8:99–114
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Questioner: Renske Timmermans
Question: In the study the NOx emissions are reduced in the sensitivity run. Do you think the Nox emissions in the emission inventory in this region are too high, i.e. that this reduction applied is realistic for the real situation?
Answer: Based on the analysis from the contribution from regions and sectors by ISAM, it did indicate the NOx was high in Region 1 and 2. As a result of reduction of 50% of NOx, the ozone was reduced and closer to the observation level. We used this tool to determine potential errors in the emission inventory but we did not attempt to use it to provide precise amount of change in the inventory.
Questioner: Peter Viaene
Question: Why did you not include a source zone covering the sea to monitor the shipping emissions (slide 13)?
Answer: We could divide the sea into various parts if we want to track explicitly the contribution of shipping emissions impact from different part of the sea, but that will increase the computational time substantially. We ended up tracking shipping as a sector only.
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Wong, D.C., Wang, Q., Kwok, R., Wu, J., Fu, Q. (2018). O3 Source Contribution During a Heavy O3 Pollution Episode in Shanghai China. In: Mensink, C., Kallos, G. (eds) Air Pollution Modeling and its Application XXV. ITM 2016. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-57645-9_67
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DOI: https://doi.org/10.1007/978-3-319-57645-9_67
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