Supporting Information Emission estimates of methyl chloride from industrial sources in China based on high frequency atmospheric observations Shanlan Li1, Mi-Kyung Park1, Chun Ok Jo1, Sunyoung Park1,2 1 Kyungpook Institute of Oceanography, College of Natural Sciences, Kyungpook National University, Daegu 41566, South Korea 2 Department of Oceanography, School of Earth System Sciences, Kyungpook National University, Daegu 41566, South Korea Corresponding author phone: +82) 53 950 5393; fax: +82) 53 950 5397; e-mail:[email protected], [email protected] Figure S1. (a) Plot of C2H6 versus CH3Cl enhancements. For the subset of data with C2H6 enhancements > 600 pptv in 2011 when CO data were available, we found relatively compact correlations of (b) CH3Cl vs. CO and of (c) COS vs.CO enhanced concentrations Inverse model for HCFC-22 emission estimation Emission rates of HCFC-22 were derived from Gosan measurements with a particle dispersion model (FLEXPART) [Stohle et al., 2010; Fang et al., 2014]. We employed several sources of information to define a priori emissions for HCFC-22. First, Montzka et al. (2009) determined global emissions based on a large number of measurements taken at several sites and a simple box model. They reported emissions of 375 Gg/yr for 2007, which we extrapolated to 2008 by assuming a linear trend. For China, we directly used HCFC-22 bottom-up emissions of 79.3 Gg/yr reported by Wan et al. (2009). For all other countries, the global emissions (minus emissions in China) were disaggregated to countries according to the HCFC consumption data reported by United Nations Environment Programme (http://www.unep.org/ozone) for 2008. Within the countries, the emissions were distributed according to population taken from CIESIN (2010). We reduce and increase all emissions by 50% and repeat the inversions. For reporting national emissions, we also report the mean of all inversions, and we characterize uncertainty by the standard deviation of all inversions performed. Figure S2. Annual HCFC-22 emissions (Gg/yr) in China determined by an inversion calculation based on a particle dispersion model (FLEXPART) (black circle). Gray solid circles represent a prior emissions of HCFC-22 used in the model. Figure S3. Annual HCFCs production (ODP tones) reported by UNEP (UNEP, 2015) and silicone production (Mt) in China obtained from http://www.cbcie.com/6812/0/list.html. References Center for International Earth Science Information Network (CIESIN): Gridded Population of the World: Future Estimates, Socioeconomic Data and Applications Center (SEDAC), Columbia University, Palisades, NY, USA, available online at: http://sedac.ciesin.columbia.edu/gpw (downloaded on 22 April 2008), 2010. Fang, X., Thompson, R. L., Saito, T., Yokouchi, Y., Kim, J., Li, S., Kim, K. R., Park, S., Graziosi, F., Stohl, A.: Sulfur hexafluoride (SF6) emissions in East Asia determined by inverse modeling. Atmos. Chem. Phys. 14 (9), 4779−4791 (2014). Montzka, S.A.; Hall, B.D.; Elkins, J.W. Accelerated increases observed for hydrochlorofluorocarbons since 2004 in the global atmosphere, Geophys. Res. Lett., 36, L03804 (2009). Stohl, A.; Kim, J.; Li, S.; O’Doherty, S.; Muhle, J.; Salameh, P.K.; Saito, T.; Vollmer, M.K.; Wan, D.; Weiss, R.F.; Yao, B.; Yokouchi, Y.; Zhou, L.X. Hydrochlorofluorocarbon and hydrofluorocarbon emissions in East Asia determined by inverse modeling, Atmos. Chem. Phys. 2010, 10 (8), 3545-3560. United Nations Environment Programme (UNEP) Ozone Secretariat Data Access Centre; http://ozone.unep.org/Data_Reporting/Data_Access/, United Nations Environment Programme (UNEP), Nairobi, 2015. Wan, D.; Xu, J.H.; Zhang, J. B.; Tong, X.C.; Hu, J.X. Historical and projected emissions of major halocarbons in China, Atmos. Environ., 43 (36), 5822-5829 (2009).
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