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Uncertainties and implications of applying aggregated data for spatial modelling of atmospheric ammonia emissions

Research output: Contribution to specialist publicationArticle

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Uncertainties and implications of applying aggregated data for spatial modelling of atmospheric ammonia emissions. / Hellsten, S.; Dragosits, U.; Place, Christopher; Dore, A. J.; Tang, Y.S; Sutton, Mark A.

In: Environmental Pollution, Vol. 240, 2018, p. 412.

Research output: Contribution to specialist publicationArticle

Harvard

Hellsten, S, Dragosits, U, Place, C, Dore, AJ, Tang, YS & Sutton, MA 2018, 'Uncertainties and implications of applying aggregated data for spatial modelling of atmospheric ammonia emissions' Environmental Pollution, vol. 240, pp. 412.

APA

Hellsten, S., Dragosits, U., Place, C., Dore, A. J., Tang, Y. S., & Sutton, M. A. (2018). Uncertainties and implications of applying aggregated data for spatial modelling of atmospheric ammonia emissions. Environmental Pollution, 240, 412.

Vancouver

Hellsten S, Dragosits U, Place C, Dore AJ, Tang YS, Sutton MA. Uncertainties and implications of applying aggregated data for spatial modelling of atmospheric ammonia emissions. Environmental Pollution. 2018;240:412.

Author

Hellsten, S. ; Dragosits, U. ; Place, Christopher ; Dore, A. J. ; Tang, Y.S ; Sutton, Mark A. / Uncertainties and implications of applying aggregated data for spatial modelling of atmospheric ammonia emissions. In: Environmental Pollution. 2018 ; Vol. 240. pp. 412.