Articles | Volume 15, issue 12
Atmos. Chem. Phys., 15, 6637–6649, 2015
https://doi.org/10.5194/acp-15-6637-2015

Special issue: East Asia emissions assessment (EA2)

Atmos. Chem. Phys., 15, 6637–6649, 2015
https://doi.org/10.5194/acp-15-6637-2015

Research article 16 Jun 2015

Research article | 16 Jun 2015

Estimating NH3 emissions from agricultural fertilizer application in China using the bi-directional CMAQ model coupled to an agro-ecosystem model

X. Fu et al.

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Cited articles

Bash, J. O., Cooter, E. J., Dennis, R. L., Walker, J. T., and Pleim, J. E.: Evaluation of a regional air-quality model with bidirectional NH3 exchange coupled to an agroecosystem model, Biogeosciences, 10, 1635–1645, https://doi.org/10.5194/bg-10-1635-2013, 2013.
Beusen, A. H. W., Bouwman, A. F., Heuberger, P. S. C., Van Drecht, G., and Van Der Hoek, K. W. V.: Bottom-up uncertainty estimates of global ammonia emissions from global agricultural production systems, Atmos. Environ., 42, 6067–6077, 2008.
Cavero, J., Plant, R. E., Shennan, C., Williams, J. R., Kiniry, J. R., and Benson, V. W.: Application of epic model to nitrogen cycling in irrigated processing tomatoes under different management systems, Agr. Syst., 56, 391–414, https://doi.org/10.1016/s0308-521x(96)00100-x, 1998.
Cavero, J., Plant, R. E., Shennan, C., Friedman, D. B., Williams, J. R., Kiniry, J. R., and Benson, V. W.: Modeling nitrogen cycling in tomato-safflower and tomato-wheat rotations, Agr. Syst., 60, 123–135, https://doi.org/10.1016/s0308-521x(99)00023-2, 1999.
Cheng, Z., Wang, S., Jiang, J., Fu, Q., Chen, C., Xu, B., Yu, J., Fu, X., and Hao, J.: Long-term trend of haze pollution and impact of particulate matter in the Yangtze River Delta, China, Environ. Pollut., 182, 101–110, https://doi.org/10.1016/j.envpol.2013.06.043, 2013.
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Short summary
In this study, we estimate, for the first time, the NH3 emission from the agricultural fertilizer application in China online using the bi-directional CMAQ model coupled to an agro-ecosystem model. Compared with previous researches, this method considers more influencing factors, such as meteorological fields, soil and the fertilizer application, and provides improved NH3 emission with higher spatial and temporal resolution.
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