The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Sulfate-nitrate-ammonium aerosols over China: response to 2000–2015 emission changes of sulfur dioxide, nitrogen oxides, and ammonia
Open accessAbstract
Abstract. We use a chemical transport model to examine the change of sulfate-nitrate-ammonium (SNA) aerosols over China due to anthropogenic emission changes of their precursors (SO2, NOx and NH3) from 2000 to 2015. From 2000 to 2006, annual mean SNA concentrations increased by about 60% over China as a result of the 60% and 80% increases in SO2 and NOx emissions. During this period, sulfate is the dominant component of SNA over South China (SC) and Sichuan Basin (SCB), while nitrate and sulfate contribute equally over North China (NC). Based on emission reduction targets in the 12th (2011–2015) Five-Year Plan (FYP), China's total SO2 and NOx emissions are projected to change by −16% and +16% from 2006 to 2015, respectively. The amount of NH3 emissions in 2015 is uncertain, given the lack of sufficient information on the past and present levels of NH3 emissions in China. With no change in NH3 emissions, SNA mass concentrations in 2015 will decrease over SCB and SC compared to their 2006 levels, but increase over NC where the magnitude of nitrate increase exceeds that of sulfate reduction. This suggests that the SO2 emission reduction target set by the 12th FYP, although effective in reducing SNA over SC and SCB, will not be successful over NC, for which NOx emission control needs to be strengthened. If NH3 emissions are allowed to keep their recent growth rate and increase by +16% from 2006 to 2015, the benefit of SO2 reduction will be completely offset over all of China due to the significant increase of nitrate, demonstrating the critical role of NH3 in regulating nitrate. The effective strategy to control SNA and hence PM2.5 pollution over China should thus be based on improving understanding of current NH3 emissions and putting more emphasis on controlling NH3 emissions in the future.
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Atmospheric Chemistry and Physics: From Air Pollution to Climate Change
Seinfeld, J. H., Pandis, S. N., & Noone, K. (1998) · Physics Today · doi:10.1063/1.882420 · Cited by 8,731
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q., Liu, H. Y., Mickley, L. J., & Schultz, M. G. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2001jd000807 · Cited by 2,486
Air pollution in mega cities in China
Chan, C. K., & Yao, X. (2008) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.09.003 · Cited by 2,404
Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models
Wesely, M. L. (1989) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(89)90153-4 · Cited by 2,304
An inventory of gaseous and primary aerosol emissions in Asia in the year 2000
Streets, D. G., Bond, T. C., Carmichael, G. R., Fernandes, S. D., Fu, Q., He, D., Klimont, Z., Nelson, S. M., Tsai, N. Y., Wang, M. Q., et al. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd003093 · Cited by 2,038
Asian emissions in 2006 for the NASA INTEX-B mission
Zhang, Q., Streets, D. G., Carmichael, G. R., He, K. B., Huo, H., Kannari, A., Klimont, Z., Park, I. S., Reddy, S., Fu, J. S., et al. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-5131-2009 · Cited by 1,950
Self-citationWESELY, M. (2007) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.10.058 · Cited by 1,873
Fountoukis, C., & Nenes, A. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-4639-2007 · Cited by 1,800
van Donkelaar, A., Martin, R. V., Brauer, M., Kahn, R., Levy, R., Verduzco, C., & Villeneuve, P. J. (2010) · Environmental Health Perspectives · doi:10.1289/ehp.0901623 · Cited by 1,623
A global high‐resolution emission inventory for ammonia
Bouwman, A. F., Lee, D. S., Asman, W. A. H., Dentener, F. J., Van Der Hoek, K. W., & Olivier, J. G. J. (1997) · Global Biogeochemical Cycles · doi:10.1029/97gb02266 · Cited by 1,264
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Elucidating severe urban haze formation in China
Guo, S., Hu, M., Zamora, M. L., Peng, J., Shang, D., Zheng, J., Du, Z., Wu, Z., Shao, M., Zeng, L., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419604111 · Cited by 1,711
Li, M., Zhang, Q., Kurokawa, J.-I., Woo, J.-H., He, K., Lu, Z., Ohara, T., Song, Y., Streets, D. G., Carmichael, G. R., et al. (2017) · Atmospheric Chemistry and Physics · doi:10.5194/acp-17-935-2017 · Cited by 1,616
Self-citationPersistent sulfate formation from London Fog to Chinese haze
Wang, G., Zhang, R., Gomez, M. E., Yang, L., Levy Zamora, M., Hu, M., Lin, Y., Peng, J., Guo, S., Meng, J., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616540113 · Cited by 1,484
Self-citationEnhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China
Huang, X., Ding, A., Gao, J., Zheng, B., Zhou, D., Qi, X., Tang, R., Wang, J., Ren, C., Nie, W., et al. (2021) · National Science Review · doi:10.1093/nsr/nwaa137 · Cited by 960
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Metadata
- Authors
- Wang, Y., Zhang, Q. Q., He, K., Zhang, Q., & Chai, L.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2013-03-05
- Volume
- 13
- Issue
- 5
- Pages
- 2635-2652
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2060825729
- Cited by
- 368
- References
- 64
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- gold
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